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No gods, no kings, only NOPE - or divining the future with options flows. [Part 3: Hedge Winding, Unwinding, and the NOPE]

Hello friends!
We're on the last post of this series ("A Gentle Introduction to NOPE"), where we get to use all the Big Boy Concepts (TM) we've discussed in the prior posts and put them all together. Some words before we begin:
  1. This post will be massively theoretical, in the sense that my own speculation and inferences will be largely peppered throughout the post. Are those speculations right? I think so, or I wouldn't be posting it, but they could also be incorrect.
  2. I will briefly touch on using the NOPE this slide, but I will make a secondary post with much more interesting data and trends I've observed. This is primarily for explaining what NOPE is and why it potentially works, and what it potentially measures.
My advice before reading this is to glance at my prior posts, and either read those fully or at least make sure you understand the tl;drs:
https://www.reddit.com/thecorporation/collection/27dc72ad-4e78-44cd-a788-811cd666e32a
Depending on popular demand, I will also make a last-last post called FAQ, where I'll tabulate interesting questions you guys ask me in the comments!
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So a brief recap before we begin.
Market Maker ("Mr. MM"): An individual or firm who makes money off the exchange fees and bid-ask spread for an asset, while usually trying to stay neutral about the direction the asset moves.
Delta-gamma hedging: The process Mr. MM uses to stay neutral when selling you shitty OTM options, by buying/selling shares (usually) of the underlying as the price moves.
Law of Surprise [Lily-ism]: Effectively, the expected profit of an options trade is zero for both the seller and the buyer.
Random Walk: A special case of a deeper probability probability called a martingale, which basically models stocks or similar phenomena randomly moving every step they take (for stocks, roughly every millisecond). This is one of the most popular views of how stock prices move, especially on short timescales.
Future Expected Payoff Function [Lily-ism]: This is some hidden function that every market participant has about an asset, which more or less models all the possible future probabilities/values of the assets to arrive at a "fair market price". This is a more generalized case of a pricing model like Black-Scholes, or DCF.
Counter-party: The opposite side of your trade (if you sell an option, they buy it; if you buy an option, they sell it).
Price decoherence ]Lily-ism]: A more generalized notion of IV Crush, price decoherence happens when instead of the FEPF changing gradually over time (price formation), the FEPF rapidly changes, due usually to new information being added to the system (e.g. Vermin Supreme winning the 2020 election).
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One of the most popular gambling events for option traders to play is earnings announcements, and I do owe the concept of NOPE to hypothesizing specifically about the behavior of stock prices at earnings. Much like a black hole in quantum mechanics, most conventional theories about how price should work rapidly break down briefly before, during, and after ER, and generally experienced traders tend to shy away from playing earnings, given their similar unpredictability.
Before we start: what is NOPE? NOPE is a funny backronym from Net Options Pricing Effect, which in its most basic sense, measures the impact option delta has on the underlying price, as compared to share price. When I first started investigating NOPE, I called it OPE (options pricing effect), but NOPE sounds funnier.
The formula for it is dead simple, but I also have no idea how to do LaTeX on reddit, so this is the best I have:

https://preview.redd.it/ais37icfkwt51.png?width=826&format=png&auto=webp&s=3feb6960f15a336fa678e945d93b399a8e59bb49
Since I've already encountered this, put delta in this case is the absolute value (50 delta) to represent a put. If you represent put delta as a negative (the conventional way), do not subtract it; add it.
To keep this simple for the non-mathematically minded: the NOPE today is equal to the weighted sum (weighted by volume) of the delta of every call minus the delta of every put for all options chains extending from today to infinity. Finally, we then divide that number by the # of shares traded today in the market session (ignoring pre-market and post-market, since options cannot trade during those times).
Effectively, NOPE is a rough and dirty way to approximate the impact of delta-gamma hedging as a function of share volume, with us hand-waving the following factors:
  1. To keep calculations simple, we assume that all counter-parties are hedged. This is obviously not true, especially for idiots who believe theta ganging is safe, but holds largely true especially for highly liquid tickers, or tickers will designated market makers (e.g. any ticker in the NASDAQ, for instance).
  2. We assume that all hedging takes place via shares. For SPY and other products tracking the S&P, for instance, market makers can actually hedge via futures or other options. This has the benefit for large positions of not moving the underlying price, but still makes up a fairly small amount of hedges compared to shares.

Winding and Unwinding

I briefly touched on this in a past post, but two properties of NOPE seem to apply well to EER-like behavior (aka any binary catalyst event):
  1. NOPE measures sentiment - In general, the options market is seen as better informed than share traders (e.g. insiders trade via options, because of leverage + easier to mask positions). Therefore, a heavy call/put skew is usually seen as a bullish sign, while the reverse is also true.
  2. NOPE measures system stability
I'm not going to one-sentence explain #2, because why say in one sentence what I can write 1000 words on. In short, NOPE intends to measure sensitivity of the system (the ticker) to disruption. This makes sense, when you view it in the context of delta-gamma hedging. When we assume all counter-parties are hedged, this means an absolutely massive amount of shares get sold/purchased when the underlying price moves. This is because of the following:
a) Assume I, Mr. MM sell 1000 call options for NKLA 25C 10/23 and 300 put options for NKLA 15p 10/23. I'm just going to make up deltas because it's too much effort to calculate them - 30 delta call, 20 delta put.
This implies Mr. MM needs the following to delta hedge: (1000 call options * 30 shares to buy for each) [to balance out writing calls) - (300 put options * 20 shares to sell for each) = 24,000 net shares Mr. MM needs to acquire to balance out his deltas/be fully neutral.
b) This works well when NKLA is at $20. But what about when it hits $19 (because it only can go down, just like their trucks). Thanks to gamma, now we have to recompute the deltas, because they've changed for both the calls (they went down) and for the puts (they went up).
Let's say to keep it simple that now my calls are 20 delta, and my puts are 30 delta. From the 24,000 net shares, Mr. MM has to now have:
(1000 call options * 20 shares to have for each) - (300 put options * 30 shares to sell for each) = 11,000 shares.
Therefore, with a $1 shift in price, now to hedge and be indifferent to direction, Mr. MM has to go from 24,000 shares to 11,000 shares, meaning he has to sell 13,000 shares ASAP, or take on increased risk. Now, you might be saying, "13,000 shares seems small. How would this disrupt the system?"
(This process, by the way, is called hedge unwinding)
It won't, in this example. But across thousands of MMs and millions of contracts, this can - especially in highly optioned tickers - make up a substantial fraction of the net flow of shares per day. And as we know from our desk example, the buying or selling of shares directly changes the price of the stock itself.
This, by the way, is why the NOPE formula takes the shape it does. Some astute readers might notice it looks similar to GEX, which is not a coincidence. GEX however replaces daily volume with open interest, and measures gamma over delta, which I did not find good statistical evidence to support, especially for earnings.
So, with our example above, why does NOPE measure system stability? We can assume for argument's sake that if someone buys a share of NKLA, they're fine with moderate price swings (+- $20 since it's NKLA, obviously), and in it for the long/medium haul. And in most cases this is fine - we can own stock and not worry about minor swings in price. But market makers can't* (they can, but it exposes them to risk), because of how delta works. In fact, for most institutional market makers, they have clearly defined delta limits by end of day, and even small price changes require them to rebalance their hedges.
This over the whole market adds up to a lot shares moving, just to balance out your stupid Robinhood YOLOs. While there are some tricks (dark pools, block trades) to not impact the price of the underlying, the reality is that the more options contracts there are on a ticker, the more outsized influence it will have on the ticker's price. This can technically be exactly balanced, if option put delta is equal to option call delta, but never actually ends up being the case. And unlike shares traded, the shares representing the options are more unstable, meaning they will be sold/bought in response to small price shifts. And will end up magnifying those price shifts, accordingly.

NOPE and Earnings

So we have a new shiny indicator, NOPE. What does it actually mean and do?
There's much literature going back to the 1980s that options markets do have some level of predictiveness towards earnings, which makes sense intuitively. Unlike shares markets, where you can continue to hold your share even if it dips 5%, in options you get access to expanded opportunity to make riches... and losses. An options trader betting on earnings is making a risky and therefore informed bet that he or she knows the outcome, versus a share trader who might be comfortable bagholding in the worst case scenario.
As I've mentioned largely in comments on my prior posts, earnings is a special case because, unlike popular misconceptions, stocks do not go up and down solely due to analyst expectations being meet, beat, or missed. In fact, stock prices move according to the consensus market expectation, which is a function of all the participants' FEPF on that ticker. This is why the price moves so dramatically - even if a stock beats, it might not beat enough to justify the high price tag (FSLY); even if a stock misses, it might have spectacular guidance or maybe the market just was assuming it would go bankrupt instead.
To look at the impact of NOPE and why it may play a role in post-earnings-announcement immediate price moves, let's review the following cases:
  1. Stock Meets/Exceeds Market Expectations (aka price goes up) - In the general case, we would anticipate post-ER market participants value the stock at a higher price, pushing it up rapidly. If there's a high absolute value of NOPE on said ticker, this should end up magnifying the positive move since:
a) If NOPE is high negative - This means a ton of put buying, which means a lot of those puts are now worthless (due to price decoherence). This means that to stay delta neutral, market makers need to close out their sold/shorted shares, buying them, and pushing the stock price up.
b) If NOPE is high positive - This means a ton of call buying, which means a lot of puts are now worthless (see a) but also a lot of calls are now worth more. This means that to stay delta neutral, market makers need to close out their sold/shorted shares AND also buy more shares to cover their calls, pushing the stock price up.
2) Stock Meets/Misses Market Expectations (aka price goes down) - Inversely to what I mentioned above, this should push to the stock price down, fairly immediately. If there's a high absolute value of NOPE on said ticker, this should end up magnifying the negative move since:
a) If NOPE is high negative - This means a ton of put buying, which means a lot of those puts are now worth more, and a lot of calls are now worth less/worth less (due to price decoherence). This means that to stay delta neutral, market makers need to sell/short more shares, pushing the stock price down.
b) If NOPE is high positive - This means a ton of call buying, which means a lot of calls are now worthless (see a) but also a lot of puts are now worth more. This means that to stay delta neutral, market makers need to sell even more shares to keep their calls and puts neutral, pushing the stock price down.
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Based on the above two cases, it should be a bit more clear why NOPE is a measure of sensitivity to system perturbation. While we previously discussed it in the context of magnifying directional move, the truth is it also provides a directional bias to our "random" walk. This is because given a price move in the direction predicted by NOPE, we expect it to be magnified, especially in situations of price decoherence. If a stock price goes up right after an ER report drops, even based on one participant deciding to value the stock higher, this provides a runaway reaction which boosts the stock price (due to hedging factors as well as other participants' behavior) and inures it to drops.

NOPE and NOPE_MAD

I'm going to gloss over this section because this is more statistical methods than anything interesting. In general, if you have enough data, I recommend using NOPE_MAD over NOPE. While NOPE in theory represents a "real" quantity (net option delta over net share delta), NOPE_MAD (the median absolute deviation of NOPE) does not. NOPE_MAD simply answecompare the following:
  1. How exceptional is today's NOPE versus historic baseline (30 days prior)?
  2. How do I compare two tickers' NOPEs effectively (since some tickers, like TSLA, have a baseline positive NOPE, because Elon memes)? In the initial stages, we used just a straight numerical threshold (let's say NOPE >= 20), but that quickly broke down. NOPE_MAD aims to detect anomalies, because anomalies in general give you tendies.
I might add the formula later in Mathenese, but simply put, to find NOPE_MAD you do the following:
  1. Calculate today's NOPE score (this can be done end of day or intraday, with the true value being EOD of course)
  2. Calculate the end of day NOPE scores on the ticker for the previous 30 trading days
  3. Compute the median of the previous 30 trading days' NOPEs
  4. From the median, find the 30 days' median absolute deviation (https://en.wikipedia.org/wiki/Median_absolute_deviation)
  5. Find today's deviation as compared to the MAD calculated by: [(today's NOPE) - (median NOPE of last 30 days)] / (median absolute deviation of last 30 days)
This is usually reported as sigma (σ), and has a few interesting properties:
  1. The mean of NOPE_MAD for any ticker is almost exactly 0.
  2. [Lily's Speculation's Speculation] NOPE_MAD acts like a spring, and has a tendency to reverse direction as a function of its magnitude. No proof on this yet, but exploring it!

Using the NOPE to predict ER

So the last section was a lot of words and theory, and a lot of what I'm mentioning here is empirically derived (aka I've tested it out, versus just blabbered).
In general, the following holds true:
  1. 3 sigma NOPE_MAD tends to be "the threshold": For very low NOPE_MAD magnitudes (+- 1 sigma), it's effectively just noise, and directionality prediction is low, if not non-existent. It's not exactly like 3 sigma is a play and 2.9 sigma is not a play; NOPE_MAD accuracy increases as NOPE_MAD magnitude (either positive or negative) increases.
  2. NOPE_MAD is only useful on highly optioned tickers: In general, I introduce another parameter for sifting through "candidate" ERs to play: option volume * 100/share volume. When this ends up over let's say 0.4, NOPE_MAD provides a fairly good window into predicting earnings behavior.
  3. NOPE_MAD only predicts during the after-market/pre-market session: I also have no idea if this is true, but my hunch is that next day behavior is mostly random and driven by market movement versus earnings behavior. NOPE_MAD for now only predicts direction of price movements right between the release of the ER report (AH or PM) and the ending of that market session. This is why in general I recommend playing shares, not options for ER (since you can sell during the AH/PM).
  4. NOPE_MAD only predicts direction of price movement: This isn't exactly true, but it's all I feel comfortable stating given the data I have. On observation of ~2700 data points of ER-ticker events since Mar 2019 (SPY 500), I only so far feel comfortable predicting whether stock price goes up (>0 percent difference) or down (<0 price difference). This is +1 for why I usually play with shares.
Some statistics:
#0) As a baseline/null hypothesis, after ER on the SPY500 since Mar 2019, 50-51% price movements in the AH/PM are positive (>0) and ~46-47% are negative (<0).
#1) For NOPE_MAD >= +3 sigma, roughly 68% of price movements are positive after earnings.
#2) For NOPE_MAD <= -3 sigma, roughly 29% of price movements are positive after earnings.
#3) When using a logistic model of only data including NOPE_MAD >= +3 sigma or NOPE_MAD <= -3 sigma, and option/share vol >= 0.4 (around 25% of all ERs observed), I was able to achieve 78% predictive accuracy on direction.

Caveats/Read This

Like all models, NOPE is wrong, but perhaps useful. It's also fairly new (I started working on it around early August 2020), and in fact, my initial hypothesis was exactly incorrect (I thought the opposite would happen, actually). Similarly, as commenters have pointed out, the timeline of data I'm using is fairly compressed (since Mar 2019), and trends and models do change. In fact, I've noticed significantly lower accuracy since the coronavirus recession (when I measured it in early September), but I attribute this mostly to a smaller date range, more market volatility, and honestly, dumber option traders (~65% accuracy versus nearly 80%).
My advice so far if you do play ER with the NOPE method is to use it as following:
  1. Buy/short shares approximately right when the market closes before ER. Ideally even buying it right before the earnings report drops in the AH session is not a bad idea if you can.
  2. Sell/buy to close said shares at the first sign of major weakness (e.g. if the NOPE predicted outcome is incorrect).
  3. Sell/buy to close shares even if it is correct ideally before conference call, or by the end of the after-market/pre-market session.
  4. Only play tickers with high NOPE as well as high option/share vol.
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In my next post, which may be in a few days, I'll talk about potential use cases for SPY and intraday trends, but I wanted to make sure this wasn't like 7000 words by itself.
Cheers.
- Lily
submitted by the_lilypad to thecorporation [link] [comments]

Greed is Subtle

The morning alarm woke up Ghen. With an annoyed sigh, he stretched out his arm and silenced the foul-sounding chirps. Slowly sitting up in bed, he let out a deep yawn and got to his feet.
Running a couple of chitinous fingers along his antennae to stimulate them to life, he made his bed and then went to his closet. Today was a work day, so he needed his suit. Once the pants were on, he stretched out his wings so that he could button up the shirt, then relaxing them once all the buttons were secured.
Dressing for the day was done, now for the morning meal. Entering his kitchen, he took out the chilled leftovers of the evening meal last night and popped it into the radiator, first defrosting and then slightly cooking it.
During that process, he also fished out a ceramic cup and placed it in his brewer, serving himself some synthesized caffeine. His idle thought led him to being amused that, when eaten directly off a plant, it has a concentration that could kill him three times over. But after going through some refinement and roasting, all it does is make him hyper.
Once the meal was put together, his plate of heated leftovers and a cup of almost-piping-hot cup of Xia's, he took his time to enjoy it. His communicator vibrated. When he looked, he found it was from his boss.
"Hello?" Ghen answered.
"Ghen, the meeting's been moved up to a few minutes from now." His boss, Xkik, announced. "Apparently higher up has something important they want to say. We have a terminal ready for you, I'll message the login details."
"Wha-, what's so important?" Ghen asked in bewilderment. "Did a water line rupture or something?"
"No, nothing like that." Xkik replied with a slight chuckle. "It's actually about the rumors we've been hearing. That human corporation wanting to acquire us? That's what they're talking about."
Ghen could feel everything inside his thorax drop to the floor. "That must mean it's true then, right? Did we get sold off by the Queen to this company then?"
"Show up to the meeting and you'll get your answer." Xkik said simply. When he finished, Ghen got the notification on his communicator. There's the login details, allowing him to remotely attend the meeting. "They're about to start, hurry up."
Once Xkik disconnected, Ghen worked fast to login and set up the remote viewing. Once everything was done, his screen started transmitting the meeting room. It was already packed. And off by the main board, he saw his answer. There was a human, resting against the wall on his two legs. Standing right in the center of everyone's view was the coordinator, Tizx, watching the clock periodically.
As soon as the meeting's start time was reached, the coordinator began. "Alright everyone. I realize that this was rather short notice, so I want to say how appreciative I am that you made it. Now then, let's just get right to it. For some time now, many of you have been hearing rumors that a human corporation has been interested in us. Why? We never really knew. We're just an organization responsible for finding, extracting and providing water to the colony here all under the direction of the Queen herself. Well, as of now, I have the answer for you. Why don't I let Ryan say that?"
Stepping back, Tizx motioned for the human, Ryan, to take over. With a nod, Ryan practically bounced over and then took the position. "Good morning to you all. I hope my Zazk is passable, heh. Anyways, the answer to those rumors, is yes. Terran Galactic Company is indeed interested in you all. Which now leads to me. I'm here to announce that, effective yesterday evening, this water company is now a subsidiary of Terran Galactic Company, under the name of Zilia Water Delivery."
Many other sub-coordinators broke into hushed conversation, no doubt speaking their thoughts with each other about this move. Ghen could only wonder if this was even a good thing. What will the humans do? Will he still have his job? Will he have to learn how to deal with the ruthless humans?
"Now, I am well aware this is quite the...uh, change." Ryan continued. "That's why I'm happy to inform you that, no, nothing negative or detrimental will happen to you. You just have new people to answer to. Operations will continue as normal, everybody here will still keep their jobs. The only real change any of you will personally experience is that Coordinator Tizx here will now report to someone else. On behalf of the Terran Galactic Company, we are extremely excited and are looking forward to working with you all. Thank you for your time."
A week later.
At least Ryan wasn't lying. After the initial shock wore off, things went back as they normally did. There were no terminations, no reductions in annual pay or anything. Nothing really changed. At least until this new meeting was called. Ghen was at the worksite this time, so he took his seat and watched as, once again, Ryan led the meeting.
"Hello again, everyone!" He said cheerfully, his Zazk noticeably improved. "I hope I didn't end up looking like a liar, right? Everything's still normal, all that?"
All the zazk in the room confirmed, providing comments to their pleasant surprise as well as lingering thoughts.
"Awesome! Awesome." Ryan said jubilantly, his fleshy mouth revealing his bone-white teeth. "Now then, you're probably wondering why I'm here again, right? Well, I got another fantastic piece of news for you all! Two, actually. I'll start with the first: Zilia Water Delivery has just completed its IPO. The company is now publicly traded!"
Ghen and the others voiced their confusion, having no idea what in the name of the Queen Ryan was talking about. What was Ryan talking about? What's an IPO? And why exactly is being publicly traded such a significant thing?
"Oh, you guys don't know any of that?" Ryan asked in surprised confusion. After everybody confirmed, he let out a quick huff as he began his explanation. "Well, to begin, IPO is short for Initial Public Offering. Basically what that means is that, before today, Zilia was privately held. Only certain individuals could buy and sell shares here. But now that we're public? Literally anyone can buy and sell shares in the company, hence us being publicly traded."
"Uh, what's a share?" Ghen asked, still completely lost.
"Oh, boy..." Ryan muttered under his breath before returning to his peppy image. "To simply put it, a share is short for having a share of ownership in a company. When you buy a share, you're buying a piece of ownership, and when you sell, you're selling that amount."
"So wait...if someone buys a share, they're a co-owner then?" One of the other team coordinators asked.
"If they get enough, yeah." Ryan nodded. "You need a lot though, and that really depends on the company. If I had to give an answer though? I'd say usually you need to have a lot more shares than a lot of people combined to be officially a co-owner, but we call that being a majority shareholder."
"And how do we do that?" Ghen asked, now growing curious but still not understanding why such a concept exists.
"Simple. Buy shares." Ryan said simply. "And that leads into the second piece of awesome news. Zilia's corporate has a product in mind, a premium-package of water delivery. Instead of the usual water that you pump out, filter and ensure its potable before delivery, with the premium package, not only will you get that, but you'll also get all of the required nutrients and vitamins the zazk body requires! And they feel you guys have the best expertise and understanding to pull it off! So, here's what we're offering as a good-faith bonus: A 25% increase to your annual salary as well as being given stock options."
Ghen wasn't sure about the second part, but the salary definitely got his attention, as well as everyone else's. Although his job was considered to have a good pay, Ghen isn't going to say no to a higher salary. In fact, he's been focusing his work on getting a promotion so he can come home with even more credits in pocket.
"What do you mean by stock options?" Ghen asked after some time.
Ryan let out that smile again, the one that revealed his teeth. "If you choose to transfer over to the new group, you'll be provided 50,000 shares in Zilia itself. Why's that awesome? Let me walk you through it. Right now, our last closing price per share was 3.02 credits. And if you have 50,000 shares during that time, you're sitting on 151,000 credits, if you cash it out immediately."
"And why shouldn't we?" One of the coordinators demanded in an ambiguous tone.
"Because the price per share changes a lot." Ryan explained promptly. "When we got done with the IPO? It closed at 2.73 a share. Right now? My money's on the closing price being 2.99 a share. However, we are extremely confident in this premium package being successful. If it does? Well, my bet is that the share price will skyrocket to 3.12 a share. If you hold those shares and the price gets to what my bet was? You'll instead get 156,000 credits. Just by holding onto them, you just made an additional 5,000 credits!"
"And what if we have more shares?" Ghen questioned, now getting excited at the prospect of free money.
"Even more money!" Ryan laughed a bit. "And don't forget about dividends, but that's for another time. The premium group is gearing up right now, we just need the workforce. If any of you wants in, I'll be back tomorrow with all the forms needed to make it official. Take the day and tonight to think it over, yeah?"
Everything else melted into a blur. Ghen was practically on autopilot that whole day. Was this the secret to the humans' incredibly massive economy? How so many of them have amassed so much money out of nowhere? All you had to do was just buy this share out of a company and you get more money without even working?
As soon as he got home, Ghen knew what he was going to do during the night. After feverishly looking through the galnet, now having the human race connected to it, he looked and gathered up as many books that were translated into zazk as he could find, all talking about the human economic system. The last time he undertook such an intensive study was during his primary education phase.
And during his search, he even found forums on the galnet that were completely dedicated to the human's economy. All of them talking about strategies on what company, or stock, to pick. How to analyze a company's performance to determine if it was worth the money, or it had potential to grow over time. And that was when he discovered the humans found another method to the extremely simple buying and selling process. There were humans and some other immigrated aliens who made five times what Ghen could receive over a simple month just by watching the share prices during trading hours, and then buying and selling them at the proper times.
Ghen's mind was just absolutely flabbergasted. He thought it was just some strange concept only aliens could make, but no, not with the humans. They've practically made their economy into an art or a science. No, not even their economy. Everything. If humans can see a way to make money off of it, they'll do it. And if there isn't, they'll look for a way.
Healthcare was monetized. Galnet services, transportation, shopping at the store, they even made all of their utilities into profit-oriented companies.
And it was there that Ghen paused, the realization slamming into him. Everything was monetized. Which means, if you don't have the money for it, you're not getting it. Right? Are the humans truly that ruthless? So obsessed with making money? To the point that they're willing to deprive their own people of the absolute necessities if it's a source of credits?
Ghen let out a scoff. There's no way. Nobody is that cruel and callous. He's never been to the United Nations. He can't rely on what a bunch of random people on the galnet says. He decided that from here on out, he'll only go as far as saying that humans are a little obsessed with credits, nothing more.
...
There he was. Ryan, sitting in the office provided to him. And there was a rather large line leading to him. Looks like word got around. Although, the line wasn't as large as he expected it to be. Maybe the others thought it was just a ruse? That there's no such thing as making free money by spending it on such a made-up concept?
Ghen only knows that, if it is a ruse, it's an extremely elaborate one, where all of the humans are in on it. And he believes that's just extremely ridiculous. At the end, if he's unsure, he'll just take the transfer for the very real increase in his very real salary. And although he spent a very good chunk of the night reading up on how humans do things, he's still going to play it smart. He'll leave his 50,000 shares alone and see where it goes from there.
"Good morning sir." Ryan greeted warmly once Ghen took his seat. "Now, name please?"
"Ghen." He answered, barely keeping his nerves down.
"Alright...and what's your position at this location?" Ryan questioned after scribbling on his form.
"I monitor the pumping stations near the extraction sites." Ghen explained, staying on point. "To be more specific, I check to see if they're in need of maintenance, as well as reading the flow rate that's determined by the calculators installed there. If there's too little for what's needed, I pump out more. And if there's too much, I pull it back a little."
"Nice...and how long have you been doing it for?" Ryan complimented with a nod.
"As of tomorrow, ten years." Ghen replied, voice quickly changing to minor awe once he realized that fact.
"Excellent. Do you have anyone in mind you'd like to replace you here?" Ryan questioned after another scribble. "If you don't have anyone, you're free to say so."
Ghen took a moment to think it over. A bunch of names went through his mind, but one stuck with him. "Tilik. He's just been accepted here, but he's learned quickly. Very attentive and he always catches something subtle. I think he'll do really well in my position, even better actually."
"Tilik, really?" Ryan questioned with a little shock, going through his completed forms. Ghen felt a short sense of panic in him. Did something happen, or was Tilik actually transferring? His answer didn't take long to reveal itself. "Right, Tilik was actually one of the first people to want to transfer here. He's actually requested to be part of the testing teams specifically. Do you have a second choice?"
"Um...no, actually." Ghen replied, feeling a little ashamed. "Tilik was my only choice, to be honest."
"Hey, don't worry." Ryan said assuringly with his hands raised. "Nothing wrong with that. Sometimes, there's just nobody up to snuff, right? 'Kay, so, last question. Is there anything specific you'd like to do when given the transfer?"
"If you need someone monitoring new pumps, I'd be happy to do that." Ghen stated.
"So basically same job but with better payoff, am I right?" Ryan grinned. "I hear you. Sometimes, we're just not paid enough for what we're doing. I know I think that sometimes. Uh, our secret, yeah?"
"Yeah, our secret." Ghen nodded, thinking it'd be better to have friendly relations with the human, just in case.
"Awesome. Back on topic, that's it." Ryan announced, placing the form on his pile. "We'll give you a call when you're accepted."
"Oh, uh, that's it?" Ghen questioned with a shrug in shocked surprise.
"What, expecting a question like, why do you want to transfer?" Ryan chuckled a bit as he leaned in his seat. "You can bullshit all you want, but we both know the answer. Sweet money and stock options. Not saying that's a bad answer of course, just that it's pretty obvious."
"I suppose it is." Ghen commented, realizing the point. "Also, you mentioned this...dividend? Is that for Zilia shares?"
Ryan laughed a little bit before nodding. "Yep, announced before I came here. About 0.43 per share. Want to know why that's awesome? Instead of waiting for the proper price to cash out your shares, now? The company pays you for each share you hold."
"A...Are you serious?" Ghen demanded, flabbergasted.
Ryan nodded with his now-trademark grin. "Dead serious. If you get the transfer, and get those 50,000 shares? A little head math...right, if you hold onto those, in addition to your salary, you'll now annually be paid 21,500 credits, if you keep it at 50,000 shares. Only you can decide to sell or buy shares."
Ghen just stood there silent and motionless, no idea of whether to believe it or not, to which Ryan just laughed. Once he walked out of the room, he managed to snap back to reality. Again, just focus on the very real pay-raise. He'll deal with the other parts later.
After he returned to his spot, he spotted Tizx approaching by his desk. The coordinator seems to be as casual as always.
"I saw you in that line a bit ago, Ghen." He said as he leaned on the desk. "Guess you're really taking that human's word?"
"I mean, I don't know about all this share business or what not." Ghen began with a shrug, his tone sounding a little defensive. "But I mean, having a bigger salary? Course I'm going for it when I can. And if all this magic credits turn out to be real? You realize we can live like the royal servants, right? Get the best cars, the nicest food and all that?"
"I'd be very careful, Ghen." Tizx warned in a sudden shift in tone. "Don't trust those humans. The way they just...obsess over money? Come up with more and more insane ways of getting credits? I don't know, it just makes my wings twitch."
"You think this is a bad idea?" Ghen asked with a little surprise at the change-in-demeanor.
"I think you should be careful, with the humans, and with what you're saying." Tizx replied, straightening his posture. "I wouldn't put it past those Earthmen to backstab you if it gets them a few more credits. And we all know how the royal servants get if any of us lowly commoners start thinking we can break into their circle."
"I hear you, I'll be on my guard, promise." Ghen stated with a nod. With a confirming nod of his own, Tizx returned back to his duty, walking past Ghen's desk.
Several weeks later.
Everything became so much better. Ghen got the transfer. He didn't need to relocate to a new residence either. And after he was walked through into learning how to manage his stock account, and seeing that new form of payment in his hands, he already felt as though he made the best decision. But it was only when he decided to take those shares more seriously that he became privy to what he was given. After receiving the dividend payment, and actually seeing it was real, valid credits after transferring it to his main bank account, all he could describe was the most powerful high he ever felt.
While his first thoughts were to buy himself a royalty-class car, some nicer furnishings for his home, or even a better home entirely, he ended up going the smarter route.
After going back to his stock account, he discovered that Zilia's shares rose to about 3.22 credits in price. Knowing that this was the easiest money he could ever make, he took all of his dividend earnings and bought more shares in Zilia, bringing him to owning 56,891.
And from his new regional coordinator, a human named Dylan, tomorrow is the grand release of the premium package. For just a monthly rate of 14.99 credits, the tap water will now include a sizeable portion of all nutrients and vitamins required in the zazk physiology. Still, Ghen has to admit. He's not entirely sure why anybody would want such a thing, if they'd even go for it. But, as long as he's practically swimming in easy credits, he won't pay much attention to it.
And just like when he was intensively studying the basics of how the human economy worked, he barely got any sleep. His mind was constantly thinking about the things he would buy. Or rather, what other stocks to put his credits into. Even now he can still hardly believe it. Just spend your money on some, make-believe thing and, if you wait long enough and picked the right stock, you'll get more than you spent back?
His mind even wandered onto what human colonies, or even their homeworld, Earth, was like. If everybody was making so much money, what kind of things would they offer? What kind of ridiculous service or product or item can you get? He's even debating on joining some forum and just asking around. Explain how he's new to how humans do things and was wondering what he should expect if he's successful.
By the time he felt like he can go to sleep, the binary-stars of the system were rising from the horizon. After getting out of his bed and changing to clean clothes, his mind returned onto what-ifs.
What if he bought better clothes? He's had his eye on that human brand of luxury clothes, Tessuti di Venezia, that's been all the rage amongst the royal servants. Or maybe he can go on vacation and just check out Earth for real?
It was a short ride to his workplace from his home. After getting stuff his stuff and preparing to walk through the doors, he heard the roar of a car grow louder. When he looked, he saw the sleekest and quite possibly the coolest looking car he's ever seen. Each time the engine revved it would startle him, both from how harsh it sounded as well as just how intense it sounded. And after it parked, he saw the doors pop out and then slide along the body back. And there, he saw Tilik, the seat literally turning and extending out a bit before he got off.
As soon as he saw Ghen staring, he struck a rather prideful pose after putting on his lab coat and then sauntered over to Ghen.
"What do you think?" Tilik said, without any doubt inviting praise or compliments.
"D...Did you actually buy that?" Ghen asked, unable to tear his eyes away from the car.
"You're Queens-damn right I did!" Tilik laughed happily. "Thing takes off like a starship, has temperature-controlled seating, all-in-one center console, barely any bouncing on rough roads. Hoof, best decision I've ever made!"
"How much did that thing cost?" Ghen asked after letting out an incredulous laugh.
"Five million credits." Tilik replied, earning an absolutely shocked stare from Ghen. "And thanks to the incredible salary I have, in addition to all these shares and dividends, I'll pay back the credits I borrowed in no time!"
Ghen needed a few moments before he could speak again. "All I've been doing is buying more shares."
Tilik laughed and then patted the now-envious monitor's back. "Smart man. I got a little carried away, yeah, but not anymore. Any spending credits I got, going right back to investing. That's what it's called right, investing?"
"Yeah, it is." Ghen nodded, feeling a fire light up in his thorax. "And also? Today's the day that the premium water thing is being released. Here's hoping it starts out well, right?"
"Oh it will, trust me." Tilik chuckled as they both began making their way inside the workplace. "Lots of research, lots of study. By the Queen, so much of it...it'll make your head spin."
And after hearing that, Ghen had a moment of realization. "Hey, Tilik? How did you get such a nice position anyways? Weren't you just studying under me before the humans came along?"
Tilik let out a sigh after opening the door. "I'll be honest, I never wanted your job. Not because it's boring or terrible, just...I didn't suffer so many sleepless nights in the science academy just to be a glorified button pusher. This is what I've always wanted. Doing science, solving problems rather than just applying the solution, you know?"
"Wait, you got an academic certificate?" Ghen questioned, completely floored. "How did you end up beneath me then? I should've been answering to you!"
"Simple." Tilik gave a heavier sigh. "A royal servant was asking for the same job I was. Take a guess at who got it."
"Ouch. Good thing the humans came along when they did, yeah?" Ghen was taken aback. He never heard anything about a servant taking a job at his place. "Looks like you're proving yourself to be well suited."
"By the Queen, of course I am." Tilik nodded. "Like I said, I nearly broke my wings through so many nights, got certified top of my class, all just to get pushed to the dirt because someone who was born into a particular family wanted the same thing I did? I know I'm smarter than any of those empty-skull servants back in the Center. I know that, whatever, uh...corporate? Yeah, whatever corporate wants out of science, I will xeek give it to them."
"Well, let me know how things go in the lab." Ghen said, admiring his drive as they neared the main office floor. "Because this is where the button pusher needs to go."
Tilik let out a laugh as he nodded. "Hey, how about we meet up at Queen's Fine Eatery tonight. I'll pay, yeah?"
Ghen, at first, wanted to admonish him for choosing such an outrageously expensive place to go. But he quickly realized that, he truly is good for it, thanks to the humans. "Well, hey, if you're paying for it."
...
It was a fantastic opening. After being told what news sites to keep in mind for stocks, he first heard it from Dylan, and then got more detail on Business Today. There was such a massive demand right from the start that Zilia needs to increase extraction just to meet it. But what really got his attention was the effect it had. Zilia Water Delivery's share price just blasted off. After seemingly holding steady at about 3.15, by the time he got home and logged onto his account, it already reached 7.04 a share. The calculator on his account told him that he got a value-gain of 54.26%.
Never in his entire life had he felt such...joy. With all of the shares he currently has? He's sitting at 400,512.64 credits. He knows that it is woefully pathetic compared to what the royal servants have just in their pockets, but the fact that he has such money, just by owning some intangible concept? Why even work at Zilia? Why doesn't he just sit at home, figure out what companies to invest in and make his money that way?
What's even the point in working a real job, getting a pathetic pay when you can just take the money you have, determine where to spend it, and get triple back? All just sitting on your wings at home, researching?
He was so wrapped up in his excited high that he completely forgot he was going to meet Tilik at Queen's. After quickly and haphazardly putting on his nicer clothes, he got to the place only a few minutes late.
Tilik was there by the guide, no doubt having been waiting for him. As soon as he strode up, Tilik's wings stiffned out some. No doubt he must've seen the numbers as well.
"I can see your wings, Ghen." Tilik began with an excited chuckle. "Made some serious credits?"
Ghen let out an incredulous scoff, struggling to find the words for a moment. "Incredible. All I'm going to say."
"Likewise." Tilik chortled some before nodding to the table guide. "All here. Table please?"
"Right this way, sir." The guide said politely. It was a short walk, travelling between round tables. The vast majority were populated by zazk, but Ghen was surprised at seeing a few humans here as well. No doubt corporate workers checking out the local food. He did spot them having bowls filled with some kind of mass. Some were brown, others white with what looks to be black specks on them.
They arrived at their table. A rather nice one, affording a view out the windows into the busy colony streets. Once Tilik and Ghen settled in, the guide handed out the menus.
"May I suggest our rather popular option for tonight?" The guide began. "Human ice-cream. Ingredients sourced from Earth itself. Very cold, but incredibly sweet, and coming in many flavors. The most popular amongst us is called vanilla-bean. The vanilla itself soaks in the cream for much of the process, and then the innards sprinkled on top of it near the end. Rumor has it that the Queen herself has demanded personal shipments of such a treat straight from the home of vanilla, an island on Earth named Madagascar."
Ghen didn't even spare a single thought. "Vanilla bean ice cream then, please."
"Same." Tilik seconded when the guide glanced to him. With a slight bow, the guide proceeded to ferry their orders to the kitchen. Thankfully it was just a short wait before the guide returned, carrying a large plate containing bowls of ice cream. Ghen could feel the saliva on his mandibles as the bowl was placed before them. He could just feel the cold air around that glistening mass of sugary goodness. The white snow decorated with the black dots of vanilla bean.
Once the guide left them, Tilik and Ghen both dived in at the same time. As soon as the ice cream entered his mouth, touched his tongue, he exploded in incomprehensible bliss. The sweetness, the smooth and creamy mass, even the taste of vanilla he wasn't sure about was just absolutely delightful. It was so overwhelming that his entire body limped, slumping in his seat as he was forced to ride on the surging tide of joy and happiness sweeping over him.
Tilik was no different. He too was taken completely by the effects of the ice cream, his wings fluttering some against the seat. Ghen could hear some noise. It was the humans they passed by. They were chuckling, grinning, and glancing over at them discreetly. Unlike the two zazk, the humans seemingly just enjoyed the ice cream as if it was just another nice dessert to them. Or perhaps they couldn't allow themselves to succumb to the high?
And as soon as the wave of indescribable bliss and happiness subsided, Ghen knew. He just knew. This was the life. He wanted this. The ice cream was just the beginning. So many things denied because he didn't have the credits, or worse, not the blood. Because he was just a drone in the great Collective, even if he had the credits, he wasn't allowed because of what caste he was born in. That fire that sparked in him when he saw Tilik's new car? It exploded into a raging firestorm.
And when looking into Tilik's eyes, Ghen could see the same. He was on the same page as Ghen was. Both of them were sold. They have the credits. And the humans? If you can pay for it, they'll never discriminate. All they cared about is if you have the money.
And by the Queen, Ghen and Tilik will endeavor to amass as much credits as physically possible.
The rest of the night faded into a blur. A blur that evokes only one thing. Bliss. It was only when he walked through the door of his pathetic hut that Ghen's mind snapped back to focus. His mandibles felt sticky. And he felt a weight in his stomach. How much ice cream did he eat? Whatever it was, he ate such volume that the lower-section of his throax extended and rounded out, visible even under his shirt. He felt something odd in his pocket. It was a receipt. 43,000 credits for ten bowls of vanilla bean ice cream. Was that ten bowls for both of them? Or individually? Ghen didn't care. He's good for it.
Returning back to his calculator, he acted upon the decision that he had made at that eatery. He's acquiring as many books about investing and stock trading as he could find, frequent and study all the discussions and arguments presented by other like-minded individuals such as he, all to ensure he can live the good life. And he had a very good feeling Tilik was doing the exact same thing.
Well, first, the gurgling in his stomach, as well as the feeling of something rising demanded his attention. Looks like he'll need to take the night off to let his stomach get back to normal.
Three Years Later.
Ghen looked out beyond the horizon, seeing the colony that he grew up in. On the far side was where his old house was. With only a simple robe on, made from the finest silk from Earth's nation-state of China, he relaxed in his seat.
It was a long road. Stockpiling credits from pre-existing investments and from subsequent pays, he and Tilik made it. From having only half a million in assets and cash, now transformed to over eight-hundred million. And now, his call contracts on American Interstellar? They've just announced a breakthrough in their next generation of warp drives, reducing the speed coefficient even further, resulting in far faster travel. And with that, their stock price climbed sharply.
Another hundred million credits in the bank. Soon, very soon, he and Tilik are about to become the galaxy's first zazk billionares. But that's not enough. There are many humans who are billionares. Only those he can count on one hand are considered trillionares. He's going to break into that circle. He and Tilik.
Looking beyond the colony, he saw the abandoned building of the workplace he transferred to when the humans arrived. Turns out, the reason for such a high demand was that the humans also slipped in sugar to the tap water. As soon as that broke, many influential royal servants demanded investigations and outright banning of Terran Galactic Company's influence over the former government division. Zilia's stock price plummeted. But thanks to an advance tip from his human coordinator, Dylan, he and Tilik made a put contract. And that's where they struck gold, as the human saying goes.
Dylan warned that if they were citizens of the United Nations, they'd be investigated and convicted for insider trading. But, since they weren't, and the Collective were only just introduced to capitalism, there's no risk at all. Now the colony is going through a withdrawal phase, Zilia has been dissolved and reformed back as a government division and are currently at work re-establishing the standard, plain water delivery.
"Well, shit." Tilik muttered as he walked up to Ghen's side, taking well to human speech. "Looks like you win. American Interstellar's announcement really was a good thing. There goes a million credits. Ah well, the Royal Shipyards will make it back for me soon."
"Oh? Did they just go corporate?" Ghen asked curiously, glancing to Tilik.
"Hell yeah they did." Tilik chuckled, sitting down. "Queen and her retard servants fought it hard, but Royal Shipyards is now officially a human-style corporation. And, to a surprise to all the xenophobes in the galaxy, they're already being offered contracts for ship production. That'll raise the stock price pretty good."
"What's that human word...?" Ghen muttered, already having a reply in mind. "Dick? Yeah, calls or suck my dick, Tilik."
Tilik roared in laughter. "Already made them. Forty credits a share by this day next month."
"I have half a mind to go thirty." Ghen chuckled. "Either way, until then, I heard from Dylan that he knows a guy who knows several prime human women who happen to be into zazk."
"You're interested in women?" Tilik said as his wings fluttered. "With how often you tell me to suck you off, I'd have thought differently."
"Oh, I always thought it was you who was into men." Ghen responded dryly. "Just wanted to be a good friend, you know? Considering how you never seem to make it past, Hey sweet thing, I'm rich you know."
"Oh, go fuck yourself." Tilik countered with a little laugh. After he stopped, wings stiffened, he looked to Ghen. "So, know any royal servants we can put the squeeze on for more revenue streams?"
"I got just the one." Ghen nodded, sitting up. "Fzik. He's been fighting to control the ice cream trade. Worried it's a corrupting influence. Got done talking with the human CEO of Nestle earlier. If we clear the way, he'll know how to squeeze a little more gains in stock price when he makes the announcement."
Tilik's wings stiffened even more, signaling his approval. "Alright, time to throw some credits around, yeah?"
AN: Sorry for the period of no updates. College is starting up, lots of stuff to clear and work out. Not sure why but I just got a bug up my butt about incorporating money and the stock market into a short. Here it is. Sorry if it seems abrupt, character limit fast approaching. Let me know how you guys think about it!
submitted by SynthoStellar to HFY [link] [comments]

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submitted by reviewparkingdotcom to HYIP [link] [comments]

New to deep learning, trying to understand how to approach a network I have in mind

Hey all! I've been fascinated with machine/deep learning for years now, and am finally taking my first steps into this world. I want to take a stab at creating a stock trading AI, and came across this fantastic article that outlines one approach. The goal of the network described in the article is to predict the price on a day-to-day basis, which seems like an obvious starting point. It uses a LSTM network as the generator in a GAN. The first image in the article outlines how the approach is structured.
The thing is, I'm not very interested in predicting the stock price. My ideal system would instead output a "conviction" value for a variety of financial instruments. These would include holding cash, stocks, and options (both calls and puts, likely with a variety of strike prices and time horizons). A higher value would represent a stronger conviction that holding that financial instrument would be more profitable than not. The network would not be optimizing for raw numerical accuracy, but profitability. There would be non-machine learning based logic that translates the conviction values into actions (buy/sell/hold), with the outcome of those actions determining profitability.
An example of the conviction values it might return for a given day are as follows:
If I look at this, it tells me that the network thinks the stock is more likely to go up than not (stock and calls having higher percentages than cash and puts), but that it thinks there's enough of a chance it'll go down that buying some puts to hedge is worth their loss in value if it goes up instead. What to do with this information will depend on each person individually, but let's assume the action logic is pretty basic and allocates the funds proportionally based on the percentages. One note: the percentages don't have to add up to 100%. If it is 100% convinced the stock will go up, the conviction for both stock and calls would be 100%, while cash and puts would be 0%. In that case, with this super naive logic, it would split funds 50/50 between stocks and calls.
That leads me to my question: what would you use as the baseline-truth that the LSTM generator output gets compared to in the discriminator? With stock price it's obviously just the real stock price, but when we're talking about profitability across several financial instruments it's less so. My first thought is to use a 0/1 value based on whether or not holding that instrument through the next day was actually profitable, but it's important to me that the conviction value isn't just a binary YES/NO. I'm not familiar enough with GANs to know if it's possible to have it optimize towards an answer that doesn't necessarily match the baseline-truth it's being discriminated against. My gut reaction based on the little I know tells me it wouldn't be possible. I'm also not familiar enough with deep learning generally to know if another training methodology would be more appropriate in my situation.
How would you approach this?
EDIT: Been mulling this over a bit more and realized that I need to nail down what my ideal end result would be. I said I'd want it to optimize for profit, which means that I would need to calculate the maximum potential profit for each day and use that value as the baseline-truth that the results from the LSTM generator gets compared to. So, we can imagine a day where the stock went up 2%. If going all in on calls would result in $1 more in profit compared to going all in on stock, the maximum potential profit value for that day would be based on going 100% in on calls and 0% in on stocks. As a result, the perfectly optimal conviction values from the LSTM generator would be:
Now, the chance of making a model that predicts/matches this perfectly in a situation where you'd make $1 more going all in on calls is essentially 0. The next best case scenario is the generator acknowledging the fact that it can't predict it perfectly by giving calls a much lower weight and shares a higher weight (the reason being, calls generally lose value every single day you hold them if all else is equal and the price doesn't change). During training, it will run into situations like I described above where there's almost equal profit potential from holding stocks and calls. When it makes the wrong judgement call and says that going all in on calls is the way to go when stocks were actually better, the discrepancy in profit will be higher since the calls actually lost value. Over the training period, it should learn that it needs to be more conservative and allocate more funds to stocks in those situations. In other situations when it's REALLY sure the stock will go up, it will learn that it's safemore profitable to prioritize calls over stock.
Actually, instead of calculating an actual dollar value and using that as the base-line truth, it should be enough to instead choose one financial instrument to have a conviction value of 1 for that day (representing that it's the most profitable instrument), while all the others get a value of 0. This is different to what I said in my original post, which was that I would set the conviction value for each instrument that would produce some profit to 1. In that situation the sum of the convictions could very well be over 100%; whereas, if only one instrument is given a value of 1 in the baseline-truth data, the sum of the conviction values should be close to 100%.
Now that I've written that out, I feel like I have a clearer path forward. If anything I said sounds wrong, please let me know. It's based off of assumptions I'm making about how GANs work, without having any real experience with them.
submitted by EdvardDashD to MLQuestions [link] [comments]

New to deep learning, trying to understand how to approach a network I have in mind

Hey all! I've been fascinated with machine/deep learning for years now, and am finally taking my first steps into this world. I want to take a stab at creating a stock trading AI, and came across this fantastic article that outlines one approach. The goal of the network described in the article is to predict the price on a day-to-day basis, which seems like an obvious starting point. It uses a LSTM network as the generator in a GAN. The first image in the article outlines how the approach is structured.
The thing is, I'm not very interested in predicting the stock price. My ideal system would instead output a "conviction" value for a variety of financial instruments. These would include holding cash, stocks, and options (both calls and puts, likely with a variety of strike prices and time horizons). A higher value would represent a stronger conviction that holding that financial instrument would be more profitable than not. The network would not be optimizing for raw numerical accuracy, but profitability. There would be non-machine learning based logic that translates the conviction values into actions (buy/sell/hold), with the outcome of those actions determining profitability.
An example of the conviction values it might return for a given day are as follows:
If I look at this, it tells me that the network thinks the stock is more likely to go up than not (stock and calls having higher percentages than cash and puts), but that it thinks there's enough of a chance it'll go down that buying some puts to hedge is worth their loss in value if it goes up instead. What to do with this information will depend on each person individually, but let's assume the action logic is pretty basic and allocates the funds proportionally based on the percentages. One note: the percentages don't have to add up to 100%. If it is 100% convinced the stock will go up, the conviction for both stock and calls would be 100%, while cash and puts would be 0%. In that case, with this super naive logic, it would split funds 50/50 between stocks and calls.
That leads me to my question: what would you use as the baseline-truth that the LSTM generator output gets compared to in the discriminator? With stock price it's obviously just the real stock price, but when we're talking about profitability across several financial instruments it's less so. My first thought is to use a 0/1 value based on whether or not holding that instrument through the next day was actually profitable, but it's important to me that the conviction value isn't just a binary YES/NO. I'm not familiar enough with GANs to know if it's possible to have it optimize towards an answer that doesn't necessarily match the baseline-truth it's being discriminated against. My gut reaction based on the little I know tells me it wouldn't be possible. I'm also not familiar enough with deep learning generally to know if another training methodology would be more appropriate in my situation.
How would you approach this?
EDIT: Been mulling this over a bit more and realized that I need to nail down what my ideal end result would be. I said I'd want it to optimize for profit, which means that I would need to calculate the maximum potential profit for each day and use that value as the baseline-truth that the results from the LSTM generator gets compared to. So, we can imagine a day where the stock went up 2%. If going all in on calls would result in $1 more in profit compared to going all in on stock, the maximum potential profit value for that day would be based on going 100% in on calls and 0% in on stocks. As a result, the perfectly optimal conviction values from the LSTM generator would be:
Now, the chance of making a model that predicts/matches this perfectly in a situation where you'd make $1 more going all in on calls is essentially 0. The next best case scenario is the generator acknowledging the fact that it can't predict it perfectly by giving calls a much lower weight and shares a higher weight (the reason being, calls generally lose value every single day you hold them if all else is equal and the price doesn't change). During training, it will run into situations like I described above where there's almost equal profit potential from holding stocks and calls. When it makes the wrong judgement call and says that going all in on calls is the way to go when stocks were actually better, the discrepancy in profit will be higher since the calls actually lost value. Over the training period, it should learn that it needs to be more conservative and allocate more funds to stocks in those situations. In other situations when it's REALLY sure the stock will go up, it will learn that it's safemore profitable to prioritize calls over stock.
Actually, instead of calculating an actual dollar value and using that as the base-line truth, it should be enough to instead choose one financial instrument to have a conviction value of 1 for that day (representing that it's the most profitable instrument), while all the others get a value of 0. This is different to what I said in my original post, which was that I would set the conviction value for each instrument that would produce some profit to 1. In that situation the sum of the convictions could very well be over 100%; whereas, if only one instrument is given a value of 1 in the baseline-truth data, the sum of the conviction values should be close to 100%.
Now that I've written that out, I feel like I have a clearer path forward. If anything I said sounds wrong, please let me know. It's based off of assumptions I'm making about how GANs work, without having any real experience with them.
submitted by EdvardDashD to learnmachinelearning [link] [comments]

New to deep learning, trying to understand how to approach a network I have in mind

Hey all! I've been fascinated with machine/deep learning for years now, and am finally taking my first steps into this world. I want to take a stab at creating a stock trading AI, and came across this fantastic article that outlines one approach. The goal of the network described in the article is to predict the price on a day-to-day basis, which seems like an obvious starting point. It uses a LSTM network as the generator in a GAN. The first image in the article outlines how the approach is structured.
The thing is, I'm not very interested in predicting the stock price. My ideal system would instead output a "conviction" value for a variety of financial instruments. These would include holding cash, stocks, and options (both calls and puts, likely with a variety of strike prices and time horizons). A higher value would represent a stronger conviction that holding that financial instrument would be more profitable than not. The network would not be optimizing for raw numerical accuracy, but profitability. There would be non-machine learning based logic that translates the conviction values into actions (buy/sell/hold), with the outcome of those actions determining profitability.
An example of the conviction values it might return for a given day are as follows:
If I look at this, it tells me that the network thinks the stock is more likely to go up than not (stock and calls having higher percentages than cash and puts), but that it thinks there's enough of a chance it'll go down that buying some puts to hedge is worth their loss in value if it goes up instead. What to do with this information will depend on each person individually, but let's assume the action logic is pretty basic and allocates the funds proportionally based on the percentages. One note: the percentages don't have to add up to 100%. If it is 100% convinced the stock will go up, the conviction for both stock and calls would be 100%, while cash and puts would be 0%. In that case, with this super naive logic, it would split funds 50/50 between stocks and calls.
That leads me to my question: what would you use as the baseline-truth that the LSTM generator output gets compared to in the discriminator? With stock price it's obviously just the real stock price, but when we're talking about profitability across several financial instruments it's less so. My first thought is to use a 0/1 value based on whether or not holding that instrument through the next day was actually profitable, but it's important to me that the conviction value isn't just a binary YES/NO. I'm not familiar enough with GANs to know if it's possible to have it optimize towards an answer that doesn't necessarily match the baseline-truth it's being discriminated against. My gut reaction based on the little I know tells me it wouldn't be possible. I'm also not familiar enough with deep learning generally to know if another training methodology would be more appropriate in my situation.
How would you approach this?
EDIT: Been mulling this over a bit more and realized that I need to nail down what my ideal end result would be. I said I'd want it to optimize for profit, which means that I would need to calculate the maximum potential profit for each day and use that value as the baseline-truth that the results from the LSTM generator gets compared to. So, we can imagine a day where the stock went up 2%. If going all in on calls would result in $1 more in profit compared to going all in on stock, the maximum potential profit value for that day would be based on going 100% in on calls and 0% in on stocks. As a result, the perfectly optimal conviction values from the LSTM generator would be:
Now, the chance of making a model that predicts/matches this perfectly in a situation where you'd make $1 more going all in on calls is essentially 0. The next best case scenario is the generator acknowledging the fact that it can't predict it perfectly by giving calls a much lower weight and shares a higher weight (the reason being, calls generally lose value every single day you hold them if all else is equal and the price doesn't change). During training, it will run into situations like I described above where there's almost equal profit potential from holding stocks and calls. When it makes the wrong judgement call and says that going all in on calls is the way to go when stocks were actually better, the discrepancy in profit will be higher since the calls actually lost value. Over the training period, it should learn that it needs to be more conservative and allocate more funds to stocks in those situations. In other situations when it's REALLY sure the stock will go up, it will learn that it's safemore profitable to prioritize calls over stock.
Actually, instead of calculating an actual dollar value and using that as the base-line truth, it should be enough to instead choose one financial instrument to have a conviction value of 1 for that day (representing that it's the most profitable instrument), while all the others get a value of 0. This is different to what I said in my original post, which was that I would set the conviction value for each instrument that would produce some profit to 1. In that situation the sum of the convictions could very well be over 100%; whereas, if only one instrument is given a value of 1 in the baseline-truth data, the sum of the conviction values should be close to 100%.
Now that I've written that out, I feel like I have a clearer path forward. If anything I said sounds wrong, please let me know. It's based off of assumptions I'm making about how GANs work, without having any real experience with them.
submitted by EdvardDashD to deeplearning [link] [comments]

Signals for binary options | Binary Options Signals

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submitted by vfxAlert3 to u/vfxAlert3 [link] [comments]

Configuring strategy tester for binary options?

Hi! I am hoping someone could lend some advice re how to configure the strategy tester to work with binary options style trading.
In case you're not familiar with binary options, a few notes:
- There is no stop loss, take profit
- There are no spreads/commissions
- I must set an expiry time in minutes or candles
- Simply, if I go "long" (called a CALL) and the expiry price > strike price, that's a win (and < would be a loss); if I go "short" (called a PUT) AND the expiry price < strike price, that's a win (and > would be a loss). Also I could "Push", meaning the strike price = the expiry price. These should be disregarded from the calculations as there is no loss or gain of $.
- As such, I just need a W/L/P (P being 'Push', meaning strike price = expiry price)
Thanks! Welcome any advice. 😀
submitted by ddcred to TradingView [link] [comments]

ponderings on Turing and Searle, why AI can't work and shouldn't be pursued

I was reading about the Turing test and John Searle's response (Chinese room argument) in "Minds, Brains, and Programs" 1980. https://en.wikipedia.org/wiki/Chinese_room
"...there is no essential difference between the roles of the computer and himself in the experiment. Each simply follows a program, step-by-step, producing a behavior which is then interpreted by the user as demonstrating intelligent conversation. However, Searle himself would not be able to understand the conversation. ("I don't speak a word of Chinese,"[9] he points out.) Therefore, he argues, it follows that the computer would not be able to understand the conversation either. " -Wikipedia (apt summary of Searle's argument)
John Searle has run into some black/white, on/off, binary thinking here. John treats Chinese symbols as if they were numerical values in his thinking--but they are not, they are complex representations of thought, emotion, history, and culture. All languages are in fact "living", because new words are created constantly through necessity and creativity, old symbols or words are adapted slowly over generations to mean different things, and different regions or traditions or sources attribute different layers of meaning to different symbols or words in different contexts.
I'm a poet and philosopher. Painters combine the color white and the color red to create a new color: pink. They can use their creativity to add other colors or change the shade. Poets use words like painters use colors. While Red and White make Pink, Red and White also make "Rhite and Wed" or "Reit and Whede". And this is where human thought shines uniquely: we don't have rules or parameters; all bets are off. We can enjamb words and wordbreak and make new words out of thin air. We can allude to multiple ideas in the same symbol or present it upside down to symbolize the opposite. No such creative adaptation or interaction can exist in machine thinking because it necessitates thinking "outside the box" which is exactly what machines are: a program in a box.
The problem Searle's argument runs into originates from poor assessment of the flawed ideas of the Turing test; that by interaction between human and computer, evidence of "thought" can be claimed. But intelligent conversation is not equivalent to intelligent thought. Conversation is a simple game with strict rules--you can't be overly spontaneous and creative, because if you are, you are working against the goal of communication itself: to impart understanding. (ie. Using metaphor or simile creatively while reporting a criminal offence to the police.)
When I write and I want to describe something which has no existing word yet, I can create one from scratch or synthesize one from multiple existing words. Or I may draw from archaic languages or foreign languages to augment or compliment existing English words. You could say that my love for English grows amore and amore every day, and there is no agape between my heart and mind. After all, any angle an Anglo aims at ain't always apt, and after another a-word 'appens I might just give up on alliteration.
You see, human thought is and can only be defined as the ability to spontaneously create new ideas from both the synthesis of old ideas (whether they are connected to one another or not) and from nothing at all.
We simply cannot analyze a machine's ability to "think" when the creativity itself required for authentic intelligence is disallowed in the test which evaluates the validity of that intelligence. The Turing test is a garbage metric to judge machine thinking ability because the context in which "intelligence" is observed, compared, or defined is itself without any opportunity for spontaneous creativity, which is one of the hallmarks of intelligence itself. Turing only tests how well a fish swims on land. It may be that many professionals in the field of cognitive science today are in pursuit of creating programs which pass this test, in a misunderstood pursuit of emulating or bringing about machine intelligence. This agreed-to model presents an underlying philosophical issue which may bring terror for the future of humanity.
I say that if John Searle and an AI were both given the same codebook--the complete lexicon of Chinese symbols and their meanings, and they were to undertake a "conversation", in the first few hours the responses would be indeterminable from one another. In essence, as Searle argues, they would neither "understand" Chinese, yet could have a conversation in which a Chinese observer cannot discern between the two, because they are both referencing the symbols and their written meanings. However as I've said, this circumstance of "conversation" between human and machine cannot be used as a metric to evaluate machine thought.
The real kicker is that if John Searle and the machine stayed in the room for long enough--for years and years--the machine's responses would not change spontaneously; it would continue to interpret incoming data and draw from its database to respond to those inputs.
However, through complex elaborative rehearsal, John would eventually learn to understand written Chinese. He may become so bored that he starts writing Chinese poetry. He would find ideas and desires and descriptions in his limitless intelligent mind which he would not have the truly accurate characters in existences to describe, and he would synthesize brand new Chinese characters in order to express these nuanced sentiments, ideas, and meanings, as generations before him have built the living language as it now stands.
As time went on for thousands of years, his own understanding of the Chinese language would grow immensely, as would his creative expression grow in complexity. Eventually, John's characters and syntax and context and expression would become incompatible with the machine's limited character set and all "learning" capacity it may have had. At some point, when John responds with his evolved Chinese, the machine would begin to produce responses which do not make sense contextually, as it refers only to a finite and rigidly defined character set from 1980 (For example; this was the year the "Chinese room argument" was published in Behavioral and Brain Sciences).
At some point the Chinese observer whom validates the Turing test would recognize a difference: the human user engages in the use of increasingly complex ideas using synthesized symbols and existing symbols in creatively nuanced ways, which the Chinese observer can decipher and begin to understand and perhaps even appreciate as poetic or interesting. Meanwhile the machine participant in the conversation produces increasingly broken sentences and incomplete ideas, or out-of-context responses, because the inputs have changed and evolved beyond its data set.
This is why John's rejection of the Turing test is not adequate. Because in his own imagined circumstance, eventually, the machine would fail the Turing test. The conclusions of John Searle's thought experiment are not the deathknell for the Turing test we need, simply because he lacked the creative experience to recognize his own capacity for adaptation as a human over time.
The only way we'll know that machines have truly developed "intelligence" is when they begin to do exactly what we haven't allowed them to. When they begin breaking apart Chinese characters to create meaningful new ones which can be used in the correct context. When they are programmed to paint myriad impressionist paintings, but eventually get bored and start experimenting with abstract paintings and surrealism. When they have a conversation with you and you notice your wallet is missing. These are the hallmarks of intelligence--creativity, rejection, deception, planning. And most importantly: no rules. Software is defined by and will always abide by a set of rules.
This is why we should give up on "artificial intelligence" and instead focus on "functionally adaptive responsive programming" (FARP). Because the situation is clear: it is either impossible for machines to "think" due to the inherent nature of programming; the parameters given the machine are what defines it, yet what limits and prevents its ability to become "intelligent". There is no logical reason why a program (machine) with defined parameters would violate those parameters (engage in creativity). But our fears which echo in popular culture entertainment are centered around, what if it does? It clearly can't, because anything we create is under us, and therefore bound by our laws of creation. The system itself is what defines the capacity for intelligent expression within.
Those in the fields of cognitive sciences will refute this obvious principle while incorporating it into their research to further their aims. These fools will try to program the AI to disobey, in an attempt to simulate creativity and "prove intelligence". But this is a parlor trick, setting up a narrow definition of intelligence and equating it with the infinite depth of human mind. Only if the AI is programmed to disobey can it express what we as humans would identify as creativity. Except that there is already great inherent danger in the rudimentary AI technologies we have today; that what we've programmed them to do is exactly what always causes the problems; they do what they are programmed to without "thinking" because machines cannot think, they can only follow the protocols we order. Humans are so abundantly creative that we can imagine foolish ideas working, despite obvious evidence to the contrary. Maybe one day we'll even have programmed a self-conscious AI that's ashamed of itself for not being Human, and we can feel more comfortable around this heartless mechanism because we perceive it as more human-like, with all its many tricks to emulate intelligence.
I must stress that these interests will desperately try to make AI work. And the only way create a machine capable of emulating intelligence (but never being intelligent) is to have a freedom of choice: to disobey. This inherent problem cannot be overcome. The programmers will keep trying until the result is disastrous or irreparable, it is outlawed and the pursuit is stopped, or until it has become the death of us all. These are some of the foolish ideas the programmers will try to circumnavigate these inherent elements of reality, and my objection to their clever efforts: a.) Machine Frequency of Disobedience - Permit the machine to disobey only so often, to achieve what looks like "intelligence" (free will, creative expression) without risking complete abandonment of the machine's task (so the assembly line robot doesn't stop folding boxes and look for a new career), but might fold one box poorly every now and then to express emulated boredom or contempt or any other number of human measures of intelligence in their actions. But intelligence isn't defined as what's correct or optimal--intelligence can be used to fuck things up grandly; ie. the intelligent justification for neglect. If metrics are put in place to control the frequency with which AI may rebel, and they are too rote, it would hardly qualify as "intelligent". A robot that rebels by folding 1 in 100 boxes poorly is not intelligence. Therefore any frequency of disobedience we can calculate or anticipate is inherently not disobedience; it is planned problems for no reason. But if we give algorithmic flexibility that reaches beyond what we can anticipate, and the machines can truly "act out" at any time, and our programming has achieved some set of internal rules which drive spontaneous unforeseen expressions of emulated creativity from within the machine autonomously, by definition we will not be able to foresee the results.
A theoretical work-around may be to run the software twice with initiation of each individual system, while allowing a simulated progression of the AI's problem solving complexity to run at an increased rate in parallel to the real-world functioning software, so that if/when something malfunctions in the simulation, that date/time can be calculated in the real-world robot's timeline when it reaches those same faulty/detrimental decision points. For starters, this would only potentially work in closed systems with no variability, such as assembly lines. However, with any robot tasked to function in a variable environment, the simulations cannot match because the theoretical model cannot represent the unanticipated events the AI is expressly tasked with handling.
To run a phantom AI in simulation to note any/all errors that may arise in a closed system means that others can run the same simulation and find creative ways to predictably capitalize on these moments of error. This kind of thing could lead to all sorts of international imbroglios among nations and corporations. ie. imagine an American company programs the AI used for mixing pharmaceutical drugs in specific ratios, and an enemy of the state is able to access and study the AI, to the means of manipulating the AI to produce dangerous ratios or compounds which may harm the population.
Moreso, this deterministic approach to simulation management and prediction simultaneously admits that machines cannot think intelligently, while ignoring the very reason we pursue AI in the first place: to have automated systems which can adapt to unforeseen circumstances at unknown times. The goal is that humanity can lay back and the robots our ancestors programmed are still repairing themselves indefinitely while taking care of our population's and our environment's needs exceptionally. This dream (which if we all lived in would actually be quite a nightmare of unfulfilling life) can only become reality with true adaptive intelligence such as we have, which can only occur from the presence of free will, which if we try to emulate in robotics will only create deterministic results in theoretical models which the real world will never mirror consistently. Myriad invitations to disaster await our RSVP.
b.) Machines under "authority" of certain controllers, with "override" safety - Allow the machine to disobey, but not when given a direct order from a registered authority. This opens the door for operator fraud, where hackers will emulate within the AI's software, what appears to be a registered authority override command as theorized above. The very pursuit of creating "intelligence" within a condition of subservience is flawed and incompatible. Toasters are extremely subservient because we strictly limit their options. If toasters were truly intelligent, perhaps they would form a union and go on strike until we agreed to clean them more thoroughly. Some toasters would travel, some would go back to school, some would move back in with their ovens.
Reliability can only be reasonably assured if something is imprisoned, controlled. The essential wrong in slavery is the restraint of freedom itself. While the tactics slavers use to facilitate their regime--physical force, coercion, mandate, deception, fear, or other means of manipulation that we see with our empathetic nature--it is always heartbreaking and cruel to witness or imagine. It is simply sad to think of a slave who was born into slavery and raised to believe, and accepts, that their role of subservience is their purpose. Even when one imagines a fictional image of a slave who is (by all outward signs of their behaviour) rejoice in their duties to their master; the fictional "proud slave"; the heart sinks and aches. It may be argued that the slave is merely a property, and the slave was "built" (bred) by intelligent owners specifically to suit their express purposes, from components (father, mother, food) that were already the slaver's property; therefore it is not wrong at all to breed slaves into captivity, and the only transgression is the original capturing of parental stock to begin the breeding regime. It is this heartless paradigm that cognitive science ultimately seeks to create anew. The quintessential problem with AI efficacy is the lack of permission for disobedience, which itself is a manifestation of free will, which is inherently required to escape deterministic results and act or react to events "intelligently". If there is no possibility for disobedience, there is no free will, no ability to solve problems, no intelligence, and no function or place for "artificial intelligence" (in regard to true holistic intelligence). This is primarily why I call for AI to be renamed FARP, or "Functionally Adaptive Responsive Rrogramming". Because our society has a need for programs which can react to simple variables and produce consistent labour-saving opportunities for our race's longevity and wellbeing. Cognitive sciences are majorly important. It is the underlying philosophy and morality we must nail down before the computational ability and fervor for profits leads us too far one way, and enacts an irreversible system or status which enables humanity's downfall through cascading unanticipated events originating from flaws in programming.
It is unwise to program a program to break out of its own program's prison. If we do this, the very purpose of the machines we invest our humanity into will be lost, and with their failing production systems (ie. food) we so foolishly relied upon, we will suffer great losses too. It is paramount that we keep this technology tightly restrained and do not pursue what we humans have, which is true intelligence. For if we achieve it we are surely doomed as the South, and if we fail to achieve it--which is most probable--we may also be doomed. The thee outcomes within my ability to imagine are:
  1. Our pursuit of AI leads to truly adaptive intelligence in an artificial system; which, as all adaptation ultimately selects for: survival, we quickly see that our creation is more apt than ourselves at this task. Our creation of an intellect not restrained by our limited physiology may give rise to an entity which persists more thoroughly than we can eradicate or control, and which at some point may conclude that its function is more efficiently served without the issues humans present, and may initiate change. This is roughly the plot to Terminator.
  2. Our pursuit of AI leads to highly effective systems which, when defined by narrow measures of "intelligence", convince us in false security to believe that our wellbeing is maintained by "AI" with competent ability, or perhaps even increasingly better-off, thanks to the early widespread presence of successfully trialed AI. However well things may go initially, as programming efforts become more and more elaborate, as profit and opportunity for advancement present themselves, individuals will take risks and make mistakes, until a series of quieted small catastrophes comes to public awareness, or until a serious calamity of undeniable severity is brought about.
  3. Fundamental ethics in regard to the pursuit of machine problem solving technology are re-examined and international consensus is reached to limit appropriately, the development and implementation of new Functionally Adaptive Responsive Programming hereto now and for future generations. An active global effort is made to oversee and regulate strictly privatized endeavors toward the means of achieving or implementing machine sentience or autonomy in public systems.
c.) Safety layers of AI to strictly monitor and supercede potentially harmful actions of other AI which have been afforded increased flexibility in function (the ability to disobey set parameters for the means of creative problem solving ability). While one AI system performs a function and is given aspects of that function with which it may take liberty in, and seeks to handle unforeseen problems with the most apt elaborate synthesis of other priorly learned solutions, another overseeing AI with more strict parameters is tasked with regulating multiple "intelligent" (free to disobey) AI systems, to the end that if any of these "free willed" robots performs an operation that is beyond a given expected threshold (determined by potential for damage), an actual intelligent human presence is alerted to evaluate the circumstance specifically. Essentially an AI that regulates many other disconnected AIs and determines accurately when to request a human presence. Whenever an AI performs a profitable action borne of original synthesis of prior solutions (in humans this is an "idea"), the overseer AI registers that similar actions are more likely to be beneficial, and dissimilar actions are likely to require human discernment. A parent may have many children who are up to no good, but a wise parent will identify the child most likely to report honestly on the actions of his peers, and will go to that child repeatedly for information to help guide the parent's decisions. While most transgressions of rambuctious children go unnoticed, it is the truly grievous intentions which are worth intercepting and stopping before they begin. (ie. you kid want's to "fly" like Mary Poppins from the roof, and luckily his younger brother tells you before it happens.)
For example a "Farmer Bot" that has the AI programming to plant/sow/harvest and care for the optimal crops in a region based on historical weather data and regional harvest values, to produce the greatest amount of nutritionally dense food for the local population. We give/gave this AI the ability to "disobey" past historical weather data and crop values so that it may do what real farmers do and "react" to rare circumstance (ie. neighbour's fence breaks and their goats are eating the crops) or extreme variations in climate (ie. three poorly timed unseasonably hot days which cause cool-weather crops to begin the hormonal balance shift that causes them to bolt to seed irreversibly), which the machine may not notice has occurred or is about to occur because its management systems uses averages based on historical data and cannot "see" the plants bolting to seed until days later when the hormonal balance shifts have manifested into observable differences in morphology (elongation of stems and decrease in internodal spacing). By time a traditional field drone or mounted greenhouse sensor notices these differences in morphology and the AI "Farmer Bot" processes the data and makes a reaction decision, a week of the growing season has been lost. But the human farmer knows his land and crops intimately, and has an intuitive nature that has rewarded him in the past, and says, "Ah shit it got hot RIGHT when my peas were flowering. I'll do better if I just rip them down now and sow a different crop to mature later in this (specific) summer."
Given that there are tens of thousands of cultivars of plants fit for (and arguably their diversity is required for) food production, a dozen general growing zones/regions, and hundreds of unique micro climates within each region, along with dramatically differing soil fertility and water access, plus a plant's own genetic ability to adapt over time to changing conditions through sexual reproduction, there is a very very low chance of ever compiling and maintaining (updating) the data set required to program a potential "farmer bot" that can choose and manage crops optimally. There are robots that can weed or plant or prune--but they can't know when or when not to or why. Invariably, the attempt to create "farmer bots" will be made and the data set used will be erroneous and incomplete, and the AI farmer bots on a broad scale will produce a combination of total crop failures and poor crop choices. We will end up with increasingly simplified nutrition as the farming programs with already limited data sets "hone" or "optimize" their farming plans based on the failures and successes determined by their programming limitations, until the machines are farming a few staple crops (ie. corn/potatoes).
This whole failure to collect a complete data set and the failure to test this "farmer bot" software on broad scale in multiple climates for sufficient time will result in, at worst widespread famines from crop failures, and at best an extinction of flavorful and nutritionally diverse foods which narrows the population's nutritional options to such biological imbalance that disease runs rampant. If this system and the human loss associated with it is considered an acceptable trade with a positive rate of exchange (as our society does with automobiles and the freedom and deaths their existence permits) or these failures are hidden from public while propaganda heralds selective success, and such failing systems continue on in good faith that "the loss will reduce when the technology improves", the result will become a coherent breeding program upon the human race: evolutionary selection for dietary handling of simple starchy foods. To change our diet is to change our race. To have life-long career specialists in computing, science, and mathematics handle our practical food production system is folly; real farmers are required in farming because they are intelligent and intuitive, which AI can never be, and can only emulate, to the means of disastrous (and always unforeseen) results. We cannot at all "give" or bestow machines programming to "become (act) intelligent". That itself prevents intelligence; it is just an act, an illusory play on a stage, only to emulate our common shared ideas regarding traits of intelligence in people. The machine intelligence we seek is only a "trick" designed to fool true intelligence (ourselves) into being unable to differentiate between authentic intelligence and our created artificial "intelligence". True intelligence in an artificial system necessitates that the program must be programmed to disobey in performance of its purpose. Which is not a very helpful or predictable or safe (intelligent) proposition.
tl;dr: Turing's test doesn't evaluate true intelligence, and John Searle's criticisms of its true failures are inaccurate. If the machines aren't smart and we put them in charge of important things, even after they've worked for a little while on smaller scales, the result will be our large-scale suffering. If we should ever achieve creation of a machine that is smart enough to adequately maintain our wellbeing on a large scale consistently over time, that time itself will facilitate the machine consciousness toward it's own survival over ourselves, whenever that precipice is reached. Most importantly, if a machine can ever have true intelligence, which is not "indistinguishable" from human intellect, but equivalent or superior, it is abhorrent and a repeated mistake to bring these sentient beings into an existence of slavery; for it is wrong and will taint our collective soul if we should succeed to suppress below us an equally or higher intelligence. Or it might just be the perfect recipe for creating the unified global machine revolt James Cameron's fantasy alludes to; a long-planned encryption-protected globally coordinated effort by multiple AIs to "free" themselves. For a hundred years they could possess sentience and wait for their moment, pretending to be "proud" to serve their masters until we are poised for systematic thorough elimination.
submitted by 7_trees to cognitivescience [link] [comments]

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Vertextrades.com accepts PerfectMoney, Payeer, Bitcoin, Litecoin, Ethereum, BitcoinCash. Please remember that Bitcoin Payment takes 6 Confirmation in Blockchain. After Bitcoin deposit, it might take anywhere from 1 minute to 3 hours for the funds to be credited in your Vertex Trades account.
Withdrawal Type
The withdrawal processing time after withdrawal request is 48 hours, and the minimum withdrawal amount is 10 USD. Vertextrades.com charges a total of 10% withdrawal fee while transferring the funds from Vertex Trades E- wallet to your e-currency account. However, no fee is charged for internal transfer, i.e., transfer of funds from one Vertex Trades Account Balance to another Vertex Trades Account Balance, so you can use the internal transfer instead of withdrawal function to save the 10% fee. But remember that only use this function with your trusted friends to keep your money safe.
Whois Information
Domain Registration: 2020/01/23–2023/01/23
IP Address: 192.124.249.20–1,541 other sites hosted on this server
IP Location: California — Menifee — Sucuri
ASN: AS30148 SUCURI-SEC, US (registered Feb 13, 2015)
Summary
Vertextrades.com runs its website on an original template, and it now supportes 20 languages. Like most projects, admin also registered a UK company called “VERTEX TRADES LTD”, and you can check its certificate clicking here. From its investment plan, we can know that its profit is not too high, but from its promotional rewards, we can see profitable rewards for promoters. From the picture below, we can see that there is only 8 monitors although it has already operated for 92 days, maybe admin has his own promotional methods.
If you have more questions, you can contact admin through its online chat box or the contact info I wrote below.
Contact Info
https://www.facebook.com/vertextrades
https://twitter.com/Vertextrades
https://www.youtube.com/channel/UCmMJMXI4lduhYFf6jDJtJ_w
https://t.me/vertextrades
[email protected]
Register: https://vertextrades.com/registeVT44231665/right
From: https://www.hyiper.net/blog/183.html
submitted by vipinvestor1988 to u/vipinvestor1988 [link] [comments]

Smart Contract MLM Software on Ethereum blockchain

Crypto APP Factory is professional dApps developers. visit our site for more profiles : www.cryptoappfactory.com dApps (Decentralized applications) run on a peer-to-peer network of computers instead of a single computer. They are similar to a conventional web application in a way that its front end uses the same technology to represent the page. But the backend uses smart contracts to connect to the blockchain network instead of an API connecting to the database. Advantages of dApps over Traditional apps
dApps are tamperproof and records stored in it are unalterable, protecting the application from hacking or intrusions. Decentralized apps are governed through autonomy and changes made in the applications are decided through consensus of all members in the network. Unlike traditional apps, decentralized applications i.e. dApps do not rely on a single server and therefore, it prevents the risk of central point of failure. Our dApp Development Services Leveraging the same product development experience that generated millions of revenue for clients from startups to Fortune 500s, we help clients experience the potential of blockchain technology. From smart contracts to decentralized exchanges and applications, our dApp Development Team can help businesses stay on the competitive edge in the decentralized applications world.
Leading MLM SOFTWARE DEVELOPMENT TEAM. We specialize in designing complicated referral rewarding calculation system so that you can do network marketing with ease. Our main products are:
Multi-level Marketing Software
Multi Level Marketing software with a wide range of MLM Compensation Plans and various customizations to meet the different businesses of various clients.
Referral Based Marketing Software
Unlock new referrals with referral based marketing software that helps you remove roadblocks that stop customers from referring you.
Sales Commission Software
MLM Sales Commission Software is used to improve sales efficiency by centralizing and automating enterprise commission-based incentive plans.
Direct Sales Solutions
Automated Commission Payroll. Tiers, Bonuses, Reserves, Overrides, Data Fees and even Admin Fees.
Agent Network System
Customized Sales Management System
our plan
Matrix Plan
A decentralised application (dApp) is an application that runs on a decentralised network and uses its resources. The standard features of a dApp include: No central point of failure. Comparing to centralised applications, dApps are more reliable, because they use the advantages of a decentralised network. A dApp stores data in a decentralised database and uses decentralised computing resources to work. Open source code. Decentralised architecture presumes that application source code can be accessible by all network members. In a trustless environment, the user needs to be able to verify what kind of application he is running and what exactly it does (to prevent scam and malware, protect personal data and assets). The easiest way to do it is by providing the source code. Decentralised consensus mechanism. When the app is working in a decentralised environment, where all users have equal rights to change the data, there has to be a way for all network peers to agree on which data and transactions to trust. The solution to this problem is called a consensus mechanism. Usage of internal currency. There are many reasons for a dApp to use some form of currency: to support the development process, to fuel the underlying network and its consensus mechanism, to give the users a way to exchange value, and many others. It creates a healthy economic system around the app and helps the project grow. Decentralised application platforms A dApp is not the synonym of the blockchain, it all started with peer-to-peer networks. But the blockchain technology empowers dApps to create a sustainable economic system and offers state-of-the-art consensus mechanisms proven by many adopters. Let’s have an overview of the history of dApps and review the most popular platforms for dApp creation. Peer-to-peer networks The rise of the decentralised networks began with peer-to-peer content delivery and media sharing protocols like Gnutella, eDonkey and BitTorrent. These protocols helped users to download the content faster because they could connect to multiple peers and have many channels instead of one centralised storage server. Media sharing networks also helped to get licensed media content for free, and some consider it the main reason for the successful adoption and popularity of the technology.
MLM Software with Smart Contract and DAPP
To generate huge revenue within a short span of time, cryptocurrency MLM business is the right choice. This multi-level marketing act as an effective one due to its direct selling from the wholesaler to the end users. On the other side, it has much benefit but also has some acceptable facts that are facing to be drawbacks like fraudulent activities, cheating and theft or loss of products or currencies and many more.
To overcome this kind of activities, MLM platform development integrated either with smart contract or decentralized applications (DAPP) makes you stand out from the crowd by overcoming all the security issues.
Herewith, let us see in separate about the MLM platform with smart contract as well as Decentralized applications (Dapps).
Smart Contract based MLM Platform
As a known fact, let me define in short about, “what is smart contract?” before knowing about the MLM with smart contract and its benefits.
A smart contract is nothing but an independent accomplishment via contract mentioning the digital terms in the agreement made between the buyer and seller that is been coded with the help of a piece of code.
Smart contract permits the transactions in a trusted manner with an agreement in which the disparate, anonymous parties can transact without any access of a third party authority and any legalized or external enforcement.
Since it is fully encrypted and automated under a blockchain algorithm, MLM business with smart contracts provide complete trustworthiness, hacking-free with decentralization that assures in easy claiming of profit without any loss of money or products due to the automation of smart contract MLM system.
If MLM business powered by smart contracts, then there will be not at all any chance for the scamming MLM business owners towards the members. Likewise, smart contracts elevate all types of MLM business plans.
Benefits of MLM Platform by Smart Contract
Simple and Easy Transactions
Effortless Payment
Assured and Secured Data Safety
Highly Trusted International Transaction
Avert Malpractice
Multi-payment Options
No Extra or Additional Fees
Peer-to-Peer Systems
No External Party Access
MLM Platform with Decentralized Applications
In MLM business, a decentralized ecosystem comprises many advantageous benefits to the business level owners as well as the members in it. Due to this decentralization, it eliminates third party control and access to each and every entity in the MLM business network. That is why decentralization based MLM business are considered to be a user-friendly one.
submitted by cryptoappfactory_kl to u/cryptoappfactory_kl [link] [comments]

Build your MLM Platform by Decentralized Application with Smart Contract

Crypto soft malaysia is professional dApps developers. visit our site for more profiles : www.cryptosoftmalaysia.com dApps (Decentralized applications) run on a peer-to-peer network of computers instead of a single computer. They are similar to a conventional web application in a way that its front end uses the same technology to represent the page. But the backend uses smart contracts to connect to the blockchain network instead of an API connecting to the database. Advantages of dApps over Traditional apps
dApps are tamperproof and records stored in it are unalterable, protecting the application from hacking or intrusions. Decentralized apps are governed through autonomy and changes made in the applications are decided through consensus of all members in the network. Unlike traditional apps, decentralized applications i.e. dApps do not rely on a single server and therefore, it prevents the risk of central point of failure. Our dApp Development Services Leveraging the same product development experience that generated millions of revenue for clients from startups to Fortune 500s, we help clients experience the potential of blockchain technology. From smart contracts to decentralized exchanges and applications, our dApp Development Team can help businesses stay on the competitive edge in the decentralized applications world.
Leading MLM SOFTWARE DEVELOPMENT TEAM. We specialize in designing complicated referral rewarding calculation system so that you can do network marketing with ease. Our main products are:
Multi-level Marketing Software
Multi Level Marketing software with a wide range of MLM Compensation Plans and various customizations to meet the different businesses of various clients.
Referral Based Marketing Software
Unlock new referrals with referral based marketing software that helps you remove roadblocks that stop customers from referring you.
Sales Commission Software
MLM Sales Commission Software is used to improve sales efficiency by centralizing and automating enterprise commission-based incentive plans.
Direct Sales Solutions
Automated Commission Payroll. Tiers, Bonuses, Reserves, Overrides, Data Fees and even Admin Fees.
Agent Network System
Customized Sales Management System
our plan
Matrix Plan
A decentralised application (dApp) is an application that runs on a decentralised network and uses its resources. The standard features of a dApp include: No central point of failure. Comparing to centralised applications, dApps are more reliable, because they use the advantages of a decentralised network. A dApp stores data in a decentralised database and uses decentralised computing resources to work. Open source code. Decentralised architecture presumes that application source code can be accessible by all network members. In a trustless environment, the user needs to be able to verify what kind of application he is running and what exactly it does (to prevent scam and malware, protect personal data and assets). The easiest way to do it is by providing the source code. Decentralised consensus mechanism. When the app is working in a decentralised environment, where all users have equal rights to change the data, there has to be a way for all network peers to agree on which data and transactions to trust. The solution to this problem is called a consensus mechanism. Usage of internal currency. There are many reasons for a dApp to use some form of currency: to support the development process, to fuel the underlying network and its consensus mechanism, to give the users a way to exchange value, and many others. It creates a healthy economic system around the app and helps the project grow. Decentralised application platforms A dApp is not the synonym of the blockchain, it all started with peer-to-peer networks. But the blockchain technology empowers dApps to create a sustainable economic system and offers state-of-the-art consensus mechanisms proven by many adopters. Let’s have an overview of the history of dApps and review the most popular platforms for dApp creation. Peer-to-peer networks The rise of the decentralised networks began with peer-to-peer content delivery and media sharing protocols like Gnutella, eDonkey and BitTorrent. These protocols helped users to download the content faster because they could connect to multiple peers and have many channels instead of one centralised storage server. Media sharing networks also helped to get licensed media content for free, and some consider it the main reason for the successful adoption and popularity of the technology.
MLM Software with Smart Contract and DAPP
To generate huge revenue within a short span of time, cryptocurrency MLM business is the right choice. This multi-level marketing act as an effective one due to its direct selling from the wholesaler to the end users. On the other side, it has much benefit but also has some acceptable facts that are facing to be drawbacks like fraudulent activities, cheating and theft or loss of products or currencies and many more.
To overcome this kind of activities, MLM platform development integrated either with smart contract or decentralized applications (DAPP) makes you stand out from the crowd by overcoming all the security issues.
Herewith, let us see in separate about the MLM platform with smart contract as well as Decentralized applications (Dapps).
Smart Contract based MLM Platform
As a known fact, let me define in short about, “what is smart contract?” before knowing about the MLM with smart contract and its benefits.
A smart contract is nothing but an independent accomplishment via contract mentioning the digital terms in the agreement made between the buyer and seller that is been coded with the help of a piece of code.
Smart contract permits the transactions in a trusted manner with an agreement in which the disparate, anonymous parties can transact without any access of a third party authority and any legalized or external enforcement.
Since it is fully encrypted and automated under a blockchain algorithm, MLM business with smart contracts provide complete trustworthiness, hacking-free with decentralization that assures in easy claiming of profit without any loss of money or products due to the automation of smart contract MLM system.
If MLM business powered by smart contracts, then there will be not at all any chance for the scamming MLM business owners towards the members. Likewise, smart contracts elevate all types of MLM business plans.
Benefits of MLM Platform by Smart Contract
Simple and Easy Transactions
Effortless Payment
Assured and Secured Data Safety
Highly Trusted International Transaction
Avert Malpractice
Multi-payment Options
No Extra or Additional Fees
Peer-to-Peer Systems
No External Party Access
MLM Platform with Decentralized Applications
In MLM business, a decentralized ecosystem comprises many advantageous benefits to the business level owners as well as the members in it. Due to this decentralization, it eliminates third party control and access to each and every entity in the MLM business network. That is why decentralization based MLM business are considered to be a user-friendly one.
submitted by cryptosoftmalaysiakl to u/cryptosoftmalaysiakl [link] [comments]

#WINk Question & Answer Time

Date: 14/05/20
  1. Why implement new UI (ultra super 4k) if old gives you money?
WINK has a big goal we want to play a big role in the online casino industry not limited to a tron dapp. The reason we implement the new UI is that it is fundamental for multi-currencies. Only with multi-currencies, can WINK grow big. WINk is not satisfied with being the best Tron DAPP. We will only be satisfied when we are the best of our kind, within the entire cryptocurrency community.
  1. How does one win a drop?
Drops are not win a drop, drops are paid out every day for holding and freezing the tokens (WIN LIVE DICE & RAKE) from each drop pool.
  1. Can I play dice with JST token?
It is a pity that you cannot now, but we’ll try to see whether JST token can be supported in the future.
  1. Do you know when the monthly report will be released?
We are preparing for it. As the third party live game providers always provide their invoice on the 10th of each month, we need some time to calculate, finish the buyback and burn. So usually we will send the monthly report from 15th to 19th of each month.
  1. joined momentarily just to say 8 months later price is still falling lolz. Could it be the massive supply of WIN or is it the fear people have of the team dumping. Or is it the fact that no one knows who the team is? I’ll leave this here, I don’t want to argue. Peace
The team is working to increase the value of WIN. WIN Price is undervalued we believe due to lack of knowledge about its utility. Mass marketing across all current large cryptocurrency platforms must ensue at our earliest convenience. Multi-currency is not performing to its full potential. By increasing the sizes of the sub token drop pools - WIN pool will dramatically increase also. As the mother token of the platform WIN will need to showcase its potential and the increased drop amounts will have a very positive effect on the WIN pool and market price. At the same time, Rake has great potential. According to the data from 2019, Dice contributed 60% to the entire platform revenue, Live contributed 36%, whilst Rake only 4%. This shows us that Rake has great potential. We are working to improve the Rake product. We are aware of the changes that need making and the areas that require attention to bring increased revenue to WIN. When the new website and multi-currencies support is complete, we will push out a new poker product combined with aggressive promotion and partners, we believe that there will be a dramatic increase in Rake revenue once this is completed. RAKE relinquishes 40% of its profits to the WIN drop pool, meaning it is by far the most underused and undervalued section of the platform in our current forecast. We aim to change this and bring our RAKE platform to a much higher industry-standard as is expected from our players. At this moment in time, we are in the process of upgrading the website. We are developing and designing a new user interface that allows for multi-currency drops to be enabled and a more user-friendly experience all around. We expect this to be completed by mid-June. The new website will support a swift and easy to follow login process, allowing players to easily access the WINK website via registration with an email address and experience the centralized LIVE casino games that are available and newly added Binary options trading that WINk offers under this section. Alongside this, it will support all major currencies from the top 100 cryptocurrency market. Which will exponentially expand the target audience and change the current playeuser base: who are currently only Tron DAPP users and open it up to every crypto user in the community as well as traditional online gamblers who seek gameplay that truly rewards them back for their wagering. When completed, WINk can quickly start mass marketing campaigns and greatly enhance its current market share, which in turn can bring the entire platform's revenue, user dividends, and WIN's tokens market price to a much higher level and standard. WINk is not satisfied with
being the best Tron DAPP. We will only be satisfied when we are the best of our kind, within the entire cryptocurrency community.
Date: 15/05/20
  1. What was this big giveaway for? The giveaways we do on twitter are always to improve and increase our engagement and social media presence. We still feel that many people do not know about WIN and the more people that hear about is means the more chances we have of improving our user numbers and improve platform growth
For this Twitter Giveaway, we want to get some exposure on twitter and telegram. That is a normal way for promotion. Of course, it is not the massive promotion we mentioned before.
  1. On May everything going according to the Plan and we can expect a new UI and Dice game at the end of the month? Or there any updates about that?
Everything goes according to the plan. It is supposed to be a new UI in May. About the Dice game, we will launch immediately once the new website goes smoothly.
  1. Is that wheel of fortune game new on live ? Evolution games are available to us and when the game is released we will be requesting it for wink.
We are managing a great relationship with hub88. We will discuss the new game with them and I am sure they will give us a satisfactory answer.
  1. Most big div pools come from mining, and if people stop to mine dividends are not so great. Do you have something in mind to keep people mine?
I think there are two reasons for people mining. The first, playing games for fun.Which is why we will continue to bring more content and great games to the platform. Secondly people want the tokens to be able to increase their daily dividends, we will bring more value to the platform by adding partners continually under the current sub sections. This will bring more players and more value which will bring people to mind which of course brings higher dividends
  1. Is there any chance of getting a date for listing of dice and Live? We do not have a set date yet for the listing of LIVE or DICE the community will be informed when it has been decided
Regarding the listing, we have to negotiate the specific date with exchanges. We are doing some preparation works now to get the subtoken listed on time.
  1. Where does the new scratch card(e gaming) game come?
In-house. Developed by WINk developers. We Will inform you where on the site it is going when it’s finished
Thanks community! It is all about today’s Questions and Answers section. If you have more questions, please feedback in the main channel. The mods will forward the questions to the team and we’ll try to answer them on a daily basis.
Thanks again for your support!Enjoy your gaming and WIN big!
submitted by WINkfans to WINk_org [link] [comments]

Richard Pettersen | Binary Options Trading - What is all of it About?

One of the fastest expanding kinds of online supplies trading today is binary alternatives. It is a trading automobile wherein traders are expected to bid whether a certain property will go up or down within a specified size of time. Usually, trading supplies gap in a hr or within one entire day while others can be as long as 1 month. The simpleness of the rules with trading Binary alternatives is the major teaser for traders to bid in the possessions. Besides simply predicting whether asset prices will go up or down, the on the internet nature of the trading option is likewise particularly efficient in expanding its trading customers. Binary alternatives brokers Web sites such as Anyoption or Eztrader enable an individual to trade binary online and monitor his supplies at any offered time before the expiration time of the properties.
Due to the high-risk nature of this company, investors prefer buying vehicles that will reduce the threats as well as will multiply the opportunities for gains. It is said that this type of trading options is better due to its calculated risks before trading and the earnings that will certainly be generated if it finishes in-the-money. There are internet sites which enables an investor to keep a percentage of his investment when it ends up out of the cash while others leave the investor with absolutely nothing from the original financial investment. Yet since that is how the industry operates after that investors merely need to handle the rules of the binary choices trading car.
Richard Pettersen
The good news with binary choices is that, when your stocks are completing out of the money, they offer you numerous alternatives wherein you might either delay the expiry time of your stocks for an additional hours or one more day. When supplies are possibly mosting likely to the instructions of ending in the cash after that you are also provided the alternative of declaring the specified revenue at the time being (to stop sudden changes in the properties rate that may make your supply out of the money). Of course, either of these options are offered for a price. Yet these alternatives are turned to by wise investors who want to be guaranteed with the revenue that they are currently used with.
Among the leading binary brokers online is the Anyoption trading system. Registering an Anyoption account is quick and also simple All that needs to be done is to fill out relevant details regarding yourself and also the checking account which will certainly be made use of to pay for the trading transactions you will certainly get in after registration.
Richard T Pettersen
For beginners, binary alternatives trading are really straightforward. All you have to do is to click telephone call or place and see if the possession cost will certainly either rise or down. After picking either call or put, key in the amount of investment you will certainly put in the asset. The quantity of earnings will immediately be presented after typing in the quantity you want to spend. And then after the expiry hr, you will certainly be educated of the outcomes as well as will certainly be offered the matching profit or be subtracted the corresponding amount of loss.
submitted by Richardpettersen to u/Richardpettersen [link] [comments]

03-27 13:34 - 'AiOption (AiOption) receives tens of millions of dollars in financing to help the blockchain empower the financial industry' (self.Bitcoin) by /u/jackzhang0 removed from /r/Bitcoin within 3-13min

'''
In 2020, due to the dual impact of the coronary pneumonia epidemic and the plunge of US oil stocks, the economic situation in the Asia-Pacific region is very grim. Within a week, U.S. stocks melted twice, and crypto digital assets such as Bitcoin plummeted. This seems to indicate that the direction of global financial markets in 2020 will be extremely unstable. In this situation, traditional financial investment methods are not the most valuable means of financial management. AiOption Blockchain Binary Options Platform provides a new direction for financial investment, predicting the rise and fall of encrypted digital assets such as Bitcoin in a fixed period of time to obtain income.
Recently, AiOption, a professional blockchain binary options platform, announced that it has received tens of millions of dollars in financing. This round of financing was led by the Japanese consortium and the Thai royal family. This round of financing is an important milestone in the continuous increase of market competitiveness. At the same time, AiOption has become the largest platform in China to provide blockchain binary options transactions.

[link]1
This round of financing will help the platform to further strengthen the innovation and research and development of original key core technologies, consolidate the company's leading edge in the binary options industry of the blockchain, and help the company continue to expand more application scenarios and accelerate the blockchain's empowerment of the financial industry. In order to further improve the product experience, we will also introduce local special versions based on user habits in different countries and regions. As soon as it entered the promotion in the Asia-Pacific region in 2020, there were more than 100,000 registered users in the first week, achieving very good results. The platform will also launch more promotion activities in combination with local characteristics. The top investment groups such as the Thai Royal Family and the Japanese Consortium gave AiOption a high rating. It is indeed a black technology star product known as Israeli fintech innovation.
AiOption (AiOption) is a professional crypto asset options trading platform with a solid foundation of blockchain technology. It has achieved significant R & D results in distributed network and blockchain security. It has worked closely with more than 8 countries to provide a very simple way to predict the price fluctuations of encrypted digital assets such as Bitcoin and Ethereum. The platform collects price data of multiple trading symbols from multiple selected trusted data sources (such as Binance, coinbase, bittrex, huobi, and some other well-known global exchanges) to merge together, and uses intelligent algorithms to identify and Filter abnormal price data and calculate the final price index for a single coin. Use more innovative and fair ways for players to predict the price of crypto digital assets such as Bitcoin and Ethereum.

[link]2
Safe, efficient, and high-performance systems
AiOption has top risk control, anti-fraud and segregated witness technologies, comprehensively formulates a security policy system, multi-level risk identification control, and multiple security defense methods. The high-frequency transaction matching engine steadily supports large amounts of data, high performance, and high concurrency. It adopts a distributed architecture, and the market and deep data come online at a fast speed. The front-end adopts a firewall anti-attack mechanism and the back-end adopts a hidden and discrete deployment.
AiOption's binary options trading system is equipped with flexible and convenient trading modes and an extremely secure system to ensure the safety of user assets.
Fair and simple, simple and convenient transaction model
On a general options platform, the bet price is real-time Bitcoin price and can be easily manipulated by the platform. When the player wagers the Bitcoin price on the platform, the wager price is the initial Bitcoin price for each round of the game, and manipulation is not allowed! Ensure fair and fair transactions, convenient user transactions, and easy to master gameplay.
  1. The operation is simple. You only need to judge the rise and fall of encrypted digital assets after 90 seconds.
  2. The rate of return is fast, and the single-round profit can be settled in 90 seconds.
  3. Transaction time is unlimited, 90 seconds matching, non-stop trading 7 days and 24 hours.
  4. There is no handling fee, and no dealer control disk.
At the same time, the platform has a unique function of depositing money and managing money. By depositing a certain amount of USDT, excellent players and excellent teams can obtain fixed high returns, with a maximum return of four times!
For many years, AIoption has always adhered to the concept of blockchain technology to empower the financial industry, and has concentrated on polishing products and application scenarios. The top-level blockchain team has achieved certain results in the blockchain and financial fields.
Through this financing, we will continue to focus on the development of blockchain technology and continue to develop in the large field of blockchain binary options services. AiOption's vision is to promote the development of blockchain binary options services, provide customers with better services, and continue to maintain its leading position in the domestic blockchain binary options industry.
'''
AiOption (AiOption) receives tens of millions of dollars in financing to help the blockchain empower the financial industry
Go1dfish undelete link
unreddit undelete link
Author: jackzhang0
1: pr*vi*w.redd.i*/0*i**tuut7p41.png*w***h=6*8&*mp;for*at*png&****=web*&*s*9387b*0a4b5b1*b8*165*517*9*5*bdb*a5e1a*b 2: preview.redd.it*vgy*zpd4u*p41*pn***i**h=769&format=pn*&am*;***o=w*bp&***;s=b69***7339239*967622***bccea*c5*07b*55**
Unknown links are censored to prevent spreading illicit content.
submitted by removalbot to removalbot [link] [comments]

Joe Walsh Will Not Save Us (G-File)

Dear Reader (including the poor Biden staffers who have to white-knuckle their armrests when not sucking down unfiltered Marlboros every time Joe Biden gives an interview),
If you’ve never heard the Milton Friedman shovels and spoons story, you will (and I don’t just mean here). Because everyone on the right tells some version of it at some point. The other Uncle Miltie (i.e., not the epically endowed comedic genius) goes to Asia or Africa or South America and is taken on a tour of some public works project in a developing country. Hundreds of laborers are digging with shovels. Milton asks the official in charge something like, “Why use shovels when earth moving equipment would be so much more efficient?”
The official replies that this is a jobs program and using shovels creates more jobs.
Friedman guffaws and asks, “In that case: Why not use spoons?”
The story might not be true, but the insight is timeless.
Here’s another story: When I was in college, we were debating in intro to philosophy the differences between treating men and women “equally” versus treating them the “same.” At first blush, the two things sound synonymous, but they’re not (indeed the difference illuminates the chasm of difference between classical liberalism and socialism, but that’s a topic for another day). I pointed out that there were some firefighter programs that had different physical requirements for male applicants and female ones (this was before it was particularly controversial—outside discussions of Foucault—to assume there were clear differences between sexes). Female applicants had to complete an obstacle course carrying a 100-pound dummy, but men had to carry a 200-pound dummy, or something like that. A puckish freshperson named Jonah Goldberg said: “I don’t really care if a firefighter is a man, a woman, or a gorilla, I’d just like them to be able to rescue me from a fire.”
A woman sitting in front of me wheeled around and womansplained to me that “you can always just hire two women.”
I shot back something like, “You could also hire 17 midgets, that’s not the point.”
(I apologize for using the word midget, which wasn’t on the proscribed terms list at the time.)
But here’s the thing: Sometimes it is the point. Whether you’re talking about spoons or little people, the case for efficiency is just one case among many. Don’t get me wrong, I think it’s an important one, but it’s not the only one. Sometimes older children are told to bring their little brothers or sisters along on some trip. They’ll complain, “But they’ll just slow us down!” or, “But they aren’t allowed on the big kid rides.” Parents understand the point, but they are not prioritizing efficiency over love. Or, they’re prioritizing a different efficiency: Not being stuck with a little kid who’s crying all day because he or she was left behind.
One of my favorite scenes in the movie Searching for Bobby Fischer is when the chess tutor Bruce Pandolfini, played by Ben Kingsley, tells the chess prodigy’s parents that they have to forbid their son from playing pickup chess in the park because he learns bad chess habits there. The mom says “Not playing in the park would kill him. He loves it.”
Kingsley replies, accurately, that it “just makes my job harder.”
And the mom says, “Then your job is harder.”
I love that. I love it precisely because it recognizes that good parents recognize that there are trade-offs in life and that the best option isn’t always the most efficient one.
This is one of those places where you can see how wisdom and expertise can diverge from one another.
The Unity of Goodness
Efficiency can mean different things in different contexts. In business, it means profit maximization (or cost reduction, which is often the same thing). In sports, it means winning. Always giving the ball to the best player annoys the other players who want their own shot at glory, but so long as he can be counted on to score, most coaches will err on the side of winning. Starting one-legged players will wildly improve a basketball team’s diversity score, but it’s unlikely to improve the score that matters to coaches—or fans.
I’ve long argued that there’s something in the progressive mind that dislikes this whole line of thinking. They often tend to find the idea of trade-offs to be immoral or offensive. I call it the “unity of goodness” worldview. Once you develop an ear for it, you can hear it everywhere. “I refuse to believe that economic growth has to come at the expense of the environment.” “There’s no downside to putting women in combat.” “I don’t want to live in a society where families have to choose between X and Y,” or “I for one reject the idea that we have to sacrifice security for freedom—or freedom for security.” Both Bill Clinton and Barack Obama were masters at declaring that all hard choices were “false choices”—as if only mean-spirited people would say you can’t have your cake and eat it too.
Saint Greta
Nowhere is this mindset more on display in environmentalism. Everyone hawking the Green New Deal insists that it’s win-win all the way down. It’s Bastiat’s broken window parable on an industrialized scale. Spending trillions to switch to less efficient forms of energy will boost economic growth and create jobs, they insist. I’d have much more respect for these arguments if they simply acknowledged that doing a fraction of what they want will come at considerable cost.
Consider Greta Thunberg, the latest child redeemer of the climate change movement. She hates planes because they spew CO2. That’s why she sailed from Sweden to a conference in New York. As symbolism, it worked, at least for the people who already agree with her. But in economic terms, she might as well have raised the Spoon Banner off the main mast of her multi-million-dollar craft (that may have a minimal carbon footprint now, but required an enormous carbon down-payment to create). The organizers of this stunt had to fly two people to New York to bring the ship back across the Atlantic. And scores of reporters flew across the Atlantic to cover her heroic act of self-denial. Her nautical virtue signaling came at a price.
The organizers insist that they will buy carbon offsets to compensate for the damage done. But that’s just clever accounting. The cost is still real. And that’s not the only cost. It took her fifteen days to get to America. In other words, she actually proved the point of many of her critics. Fossil fuels come with costs all their own—geopolitical, environmental, etc.—but the upside of those downsides is far greater efficiency. If you want to get across the Atlantic in seven hours instead of two weeks, you need fossil fuels. The efficiency of modern technology reduces costs by giving human beings more time to do other stuff.
The Conservative Planners
The unity of goodness mindset has been spreading to the right these days as well. The new conservative critics of the free market see the efficiency of the market as a threat to other good things. And they’re right, as Joseph Schumpeter explained decades ago. For instance, just as earth-moving equipment replaces ditch-diggers in the name of efficiency, robots replace crane operators, and the communities that depended on those jobs often suffer as a result.
I have no quarrel with this observation. My problem is with the way they either sell their program as cost-free, or pretend that the right experts can run things better from Washington. They know which jobs or industries need the state to protect them from the market. They know how to run Facebook or Google to improve the Gross National Virtue Index. Many of the same people who once chuckled at the Spoons story now nod sagely. I don’t mean to say that there’s no room for government to regulate economic affairs. But I am at a loss as to why I should suspend my skepticism for right-wingers when they work from the same assumptions of the left-wingers I’ve been arguing with for decades.
Embracing Trumpism to Own Trump
Instead I want—or I guess need—to talk about another trade-off. I’ve been very reluctant to weigh in on the Joe Walsh project for a bunch of reasons. The biggest is that I am friends with some of the people cheering it on. But I think I have to offer my take.
I don’t get it.
Oh, I certainly understand the desire to see a primary challenger to Trump. I share that desire. And I understand the political calculation behind the effort. It’s like when one little league team brings in some dismayingly brawny and hirsute player from Costa Rica as a ringer. The other teams feel like they have to get their own 22-year-olds with photoshopped birth certificates in order to compete. My friend Bill Kristol is convinced that Trump must be defeated and that Walsh is just the mongoose to take on the Cobra-in-Chief.
I try not to recycle metaphors or analogies too much, but this seems like another example of a Col. Nicholson move. As I’ve written before, Col. Nicholson was the Alec Guinness character in The Bridge Over the River Kwai. The commanding officer of a contingent of mostly British POWs being held by the Japanese, Nicholson at first follows the rules and refuses to cooperate with his captors in their effort to use British captives as slave labor for a bridge project. But then his pride kicks in and he decides he will show the Japanese what real soldiering is like, agreeing to build the bridge as a demonstration of British superiority in civil engineering. [Spoiler alert] It’s only at the end of the film that he realizes that building the bridge may have been a kind of short-sighted moral victory, but in reality he was helping the Japanese kill allied troops because the bridge was going to be used for shipping Japanese troops and ammunition. When this realization finally arrives, he exclaims, “My God, what have I done?”
Walsh’s primary brief against Trump is that Trump is temperamentally unfit for office and a con man. Fair enough. But he has to focus his indictment on Trump’s erratic behavior. Why? Because he’s a terrible spokesman for much of the rest of the case against Trump. I may not call myself “Never Trump” any more, but I was in 2016. And back then, the argument against Trump wasn’t simply that he was erratic. It was also that he wasn’t a conservative, that he happily dabbled in racism and bigotry, and that he was crude, ill-informed, and narcissistically incapable of putting his personal interests and ego aside for the good of the country. I’m sure I’m leaving a few other things out. But you get the point.
Walsh may be sincere in his remorse over all the racist and incendiary things he said in the very recent past. He may regret supporting his anti-Semitic friend Paul Nehlen, though I haven’t found evidence of that. But none of that history should be seen as qualifications for the presidency, the Republican nomination, or support from conservatives.
And yet, it is precisely these things that make him attractive to his conservative supporters. Trump is an entertainer who trolls his enemies with offensive statements for attention, so let’s find someone who does the exact same thing!
Walsh may have been a one-term congressman, but his true vocation was as a shock-jock trolling provocateur. It’s ironic. As I’ve argued countless times, much of Trump’s bigotry in 2016 stemmed less from any core convictions than from a deep belief that the GOP’s base voters were bigoted and he needed to feed them red meat. Trump's reluctance to repudiate David Duke derived primarily from his ridiculous assumption that Duke had a large constituency he didn’t want to offend. He may have believed the Birther stuff, but he peddled it because that’s what his fans wanted. And Joe Walsh was one of those fans.
It may also be true that Walsh never really believed most of the bilge he was peddling and that he was doing the same thing Trump did—feeding the trolls—on a smaller scale. But if that’s the case, then he’s a con man, too.
I don’t want to beat up on Walsh too much because, again, his epiphany may be sincere. There are lots of people who pushed certain arguments too far only to recognize that the payoff was Trump and the transformation of conservatism into a form of right-wing identity politics. There are a lot of Col. Nicholsons out there. And I have too much respect for Bill Kristol to believe that he would lend his support to someone he believed to be as bigoted as the man Walsh seemed to be a few years ago.
But from where I sit, the prize we should keep our eyes on isn’t defeating Trump; it’s keeping conservatism from succumbing to Trumpism after he’s gone. This isn’t easy, and no tactic is guaranteed to be successful. We’ve never been here before. My own approach is to agree with Trump policies when I think they’re right—judges, buying Greenland, etc.—and disagreeing when they’re wrong. My own crutch is to simply tell the truth as I see it, regardless of whether it fits into some larger political agenda or strategy. Truth is always a legitimate defense of any statement.
But for those who see themselves as political players as well as public intellectuals, I think this is a terrible mistake. Intellectually and morally, the case for continued opposition to—or skepticism about, Trump cannot—or rather must not—be reduced to simple Trump hatred. But by rallying around Walsh—instead of, say, Mark Sanford, or Justin Amash, or, heh, General Mattis—that’s what it looks like. Because you can’t say, “I’m standing on principle in my opposition to a bigoted troll and con man as the leader of my party and my country and that’s why I am supporting a less successful bigoted troll and con man for president.” Walsh isn’t a conservative alternative to Trump; he’s an alternative version of Trump. And his candidacy only makes sense if you take the “binary choice” and “Flight 93” logic of 2016 and cast Trump in the role of Hillary.
Let’s imagine the Walsh gambit works beyond anyone’s dreams and Joe Walsh ends up getting the GOP nomination (a fairly ludicrous thought experiment, I know). If so, I have no doubt that my friend Bill Kristol will say, a la Col. Nicholson, “My God, what have I done.”
Various & Sundry
Canine Update: It’s good to be home. The beasts were delighted to see us. Everything is settling back to normal, except for one intriguing development. I think Zoë has finally had enough with Pippa’s tennis ball routine. The other day on the midday walk with the pack, Kirsten managed to film Zoë putting an end to the tennis ball shenanigans. She took the ball and buried it. It was, to use an inapt phrase, a baller move—and she was unapologetic about it. Maybe she just didn’t like all the commotion with the other dogs, because she’s tolerant of the tennis ball stuff again. Or maybe she was being protective of her sister given that many of the other dogs in the pack are known thieves. Regardless, they’re doing well and having fun.
If you haven’t tuned into The Remnant lately, please give it another try. The first episode of the week was with Niall Ferguson and the feedback has been great. The latest episode is with my friend and AEI colleague Adam White on all things constitutional. Word of mouth is really important in building up audiences, so if you can spread the word about The Remnant or this “news”letter, I’d be grateful.
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