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No gods, no kings, only NOPE - or divining the future with options flows. [Part 2: A Random Walk and Price Decoherence]
tl;dr - 1) Stock prices move continuously because different market participants end up having different ideas of the future value of a stock. 2) This difference in valuations is part of the reason we have volatility. 3) IV crush happens as a consequence of future possibilities being extinguished at a binary catalyst like earnings very rapidly, as opposed to the normal slow way. I promise I'm getting to the good parts, but I'm also writing these as a guidebook which I can use later so people never have to talk to me again. In this part I'm going to start veering a bit into the speculation territory (e.g. ideas I believe or have investigated, but aren't necessary well known) but I'm going to make sure those sections are properly marked as speculative (and you can feel free to ignore/dismiss them). Marked as [Lily's Speculation]. As some commenters have pointed out in prior posts, I do not have formal training in mathematical finance/finance (my background is computer science, discrete math, and biology), so often times I may use terms that I've invented which have analogous/existing terms (e.g. the law of surprise is actually the first law of asset pricing applied to derivatives under risk neutral measure, but I didn't know that until I read the papers later). If I mention something wrong, please do feel free to either PM me (not chat) or post a comment, and we can discuss/I can correct it! As always, buyer beware. This is the first section also where you do need to be familiar with the topics I've previously discussed, which I'll add links to shortly (my previous posts: 1) https://www.reddit.com/thecorporation/comments/jck2q6/no_gods_no_kings_only_nope_or_divining_the_future/ 2) https://www.reddit.com/thecorporation/comments/jbzzq4/why_options_trading_sucks_or_the_law_of_surprise/ --- A Random Walk Down Bankruptcy A lot of us have probably seen the term random walk, maybe in the context of A Random Walk Down Wall Street, which seems like a great book I'll add to my list of things to read once I figure out how to control my ADD. It seems obvious, then, what a random walk means - when something is moving, it basically means that the next move is random. So if my stock price is $1 and I can move in $0.01 increments, if the stock price is truly randomly walking, there should be roughly a 50% chance it moves up in the next second (to $1.01) or down (to $0.99). If you've traded for more than a hot minute, this concept should seem obvious, because especially on the intraday, it usually isn't clear why price moves the way it does (despite what chartists want to believe, and I'm sure a ton of people in the comments will tell me why fettucini lines and Batman doji tell them things). For a simple example, we can look at SPY's chart from Friday, Oct 16, 2020: https://preview.redd.it/jgg3kup9dpt51.png?width=1368&format=png&auto=webp&s=bf8e08402ccef20832c96203126b60c23277ccc2 I'm sure again 7 different people can tell me 7 different things about why the chart shape looks the way it does, or how if I delve deeply enough into it I can find out which man I'm going to marry in 2024, but to a rationalist it isn't exactly apparent at why SPY's price declined from 349 to ~348.5 at around 12:30 PM, or why it picked up until about 3 PM and then went into precipitous decline (although I do have theories why it declined EOD, but that's for another post). An extremely clever or bored reader from my previous posts could say, "Is this the price formation you mentioned in the law of surprise post?" and the answer is yes. If we relate it back to the individual buyer or seller, we can explain the concept of a stock price's random walk as such:
Most market participants have an idea of an asset's truevalue (an idealized concept of what an asset is actually worth), which they can derive using models or possibly enough brain damage. However, an asset's value at any given time is not worth one value (usually*), but a spectrum of possible values, usually representing what the asset should be worth in the future. A naive way we can represent this without delving into to much math (because let's face it, most of us fucking hate math) is: Current value of an asset = sum over all (future possible value multiplied by the likelihood of that value)
In actuality, most models aren't that simple, but it does generalize to a ton of more complicated models which you need more than 7th grade math to understand (Black-Scholes, DCF, blah blah blah). While in many cases the first term - future possible value - is well defined (Tesla is worth exactly $420.69 billion in 2021, and maybe we all can agree on that by looking at car sales and Musk tweets), where it gets more interesting is the second term - the likelihood of that value occurring. [In actuality, the price of a stock for instance is way more complicated, because a stock can be sold at any point in the future (versus in my example, just the value in 2021), and needs to account for all values of Tesla at any given point in the future.] How do we estimate the second term - the likelihood of that value occurring? For this class, it actually doesn't matter, because the key concept is this idea: even with all market participants having the same information, we do anticipate that every participant will have a slightly different view of future likelihoods. Why is that? There's many reasons. Some participants may undervalue risk (aka WSB FD/yolos) and therefore weight probabilities of gaining lots of money much more heavily than going bankrupt. Some participants may have alternative data which improves their understanding of what the future values should be, therefore letting them see opportunity. Some participants might overvalue liquidity, and just want to GTFO and thereby accept a haircut on their asset's value to quickly unload it (especially in markets with low liquidity). Some participants may just be yoloing and not even know what Fastly does before putting their account all in weekly puts (god bless you). In the end, it doesn't matter either the why, but the what: because of these diverging interpretations, over time, we can expect the price of an asset to drift from the current value even with no new information added. In most cases, the calculations that market participants use (which I will, as a Lily-ism, call the future expected payoff function, or FEPF) ends up being quite similar in aggregate, and this is why asset prices likely tend to move slightly up and down for no reason (or rather, this is one interpretation of why). At this point, I expect the 20% of you who know what I'm talking about or have a finance background to say, "Oh but blah blah efficient market hypothesis contradicts random walk blah blah blah" and you're correct, but it also legitimately doesn't matter here. In the long run, stock prices are clearly not a random walk, because a stock's value is obviously tied to the company's fundamentals (knock on wood I don't regret saying this in the 2020s). However, intraday, in the absence of new, public information, it becomes a close enough approximation. Also, some of you might wonder what happens when the future expected payoff function (FEPF) I mentioned before ends up wildly diverging for a stock between participants. This could happen because all of us try to short Nikola because it's quite obviously a joke (so our FEPF for Nikola could, let's say, be 0), while the 20 or so remaining bagholders at NikolaCorporation decide that their FEPF of Nikola is $10,000,000 a share). One of the interesting things which intuitively makes sense, is for nearly all stocks, the amount of divergence among market participants in their FEPF increases substantially as you get farther into the future. This intuitively makes sense, even if you've already quit trying to understand what I'm saying. It's quite easy to say, if at 12:51 PM SPY is worth 350.21 that likely at 12:52 PM SPY will be worth 350.10 or 350.30 in all likelihood. Obviously there are cases this doesn't hold, but more likely than not, prices tend to follow each other, and don't gap up/down hard intraday. However, what if I asked you - given SPY is worth 350.21 at 12:51 PM today, what will it be worth in 2022? Many people will then try to half ass some DD about interest rates and Trump fleeing to Ecuador to value SPY at 150, while others will assume bull markets will continue indefinitely and SPY will obviously be 7000 by then. The truth is -- no one actually knows, because if you did, you wouldn't be reading a reddit post on this at 2 AM in your jammies. In fact, if you could somehow figure out the FEPF of all market participants at any given time, assuming no new information occurs, you should be able to roughly predict the true value of an asset infinitely far into the future (hint: this doesn't exactly hold, but again don't @ me). Now if you do have a finance background, I expect gears will have clicked for some of you, and you may see strong analogies between the FEPF divergence I mentioned, and a concept we're all at least partially familiar with - volatility. Volatility and Price Decoherence ("IV Crush") Volatility, just like the Greeks, isn't exactly a real thing. Most of us have some familiarity with implied volatility on options, mostly when we get IV crushed the first time and realize we just lost $3000 on Tesla calls. If we assume that the current price should represent the weighted likelihoods of all future prices (the random walk), volatility implies the following two things:
Volatility reflects the uncertainty of the current price
Volatility reflects the uncertainty of the future price for every point in the future where the asset has value (up to expiry for options)
[Ignore this section if you aren't pedantic] There's obviously more complex mathematics, because I'm sure some of you will argue in the comments that IV doesn't go up monotonically as option expiry date goes longer and longer into the future, and you're correct (this is because asset pricing reflects drift rate and other factors, as well as certain assets like the VIX end up having cost of carry). Volatility in options is interesting as well, because in actuality, it isn't something that can be exactly computed -- it arises as a plug between the idealized value of an option (the modeled price) and the real, market value of an option (the spot price). Additionally, because the makeup of market participants in an asset's market changes over time, and new information also comes in (thereby increasing likelihood of some possibilities and reducing it for others), volatility does not remain constant over time, either. Conceptually, volatility also is pretty easy to understand. But what about our friend, IV crush? I'm sure some of you have bought options to play events, the most common one being earnings reports, which happen quarterly for every company due to regulations. For the more savvy, you might know of expected move, which is a calculation that uses the volatility (and therefore price) increase of at-the-money options about a month out to calculate how much the options market forecasts the underlying stock price to move as a response to ER. Binary Catalyst Events and Price Decoherence Remember what I said about price formation being a gradual, continuous process? In the face of special circumstances, in particularly binary catalyst events - events where the outcome is one of two choices, good (1) or bad (0) - the gradual part gets thrown out the window. Earnings in particular is a common and notable case of a binary event, because the price will go down (assuming the company did not meet the market's expectations) or up (assuming the company exceeded the market's expectations) (it will rarely stay flat, so I'm not going to address that case). Earnings especially is interesting, because unlike other catalytic events, they're pre-scheduled (so the whole market expects them at a certain date/time) and usually have publicly released pre-estimations (guidance, analyst predictions). This separates them from other binary catalysts (e.g. FSLY dipping 30% on guidance update) because the market has ample time to anticipate the event, and participants therefore have time to speculate and hedge on the event. In most binary catalyst events, we see rapid fluctuations in price, usually called a gap up or gap down, which is caused by participants rapidly intaking new information and changing their FEPF accordingly. This is for the most part an anticipated adjustment to the FEPF based on the expectation that earnings is a Very Big Deal (TM), and is the reason why volatility and therefore option premiums increase so dramatically before earnings. What makes earnings so interesting in particular is the dramatic effect it can have on all market participants FEPF, as opposed to let's say a Trump tweet, or more people dying of coronavirus. In lots of cases, especially the FEPF of the short term (3-6 months) rapidly changes in response to updated guidance about a company, causing large portions of the future possibility spectrum to rapidly and spectacularly go to zero. In an instant, your Tesla 10/30 800Cs go from "some value" to "not worth the electrons they're printed on". [Lily's Speculation] This phenomena, I like to call price decoherence, mostly as an analogy to quantum mechanical processes which produce similar results (the collapse of a wavefunction on observation). Price decoherence occurs at a widespread but minor scale continuously, which we normally call price formation (and explains portions of the random walk derivation explained above), but hits a special limit in the face of binary catalyst events, as in an instant rapid portions of the future expected payoff function are extinguished, versus a more gradual process which occurs over time (as an option nears expiration). Price decoherence, mathematically, ends up being a more generalizable case of the phenomenon we all love to hate - IV crush. Price decoherence during earnings collapses the future expected payoff function of a ticker, leading large portions of the option chain to be effectively worthless (IV crush). It has interesting implications, especially in the case of hedged option sellers, our dear Market Makers. This is because given the expectation that they maintain delta-gamma neutral, and now many of the options they have written are now worthless and have 0 delta, what do they now have to do? They have to unwind. [/Lily's Speculation] - Lily
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:
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.
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! --- 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). --- 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:
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).
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):
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.
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) = 24,000net 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:
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. --- 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:
How exceptional is today's NOPE versus historic baseline (30 days prior)?
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:
Calculate today's NOPE score (this can be done end of day or intraday, with the true value being EOD of course)
Calculate the end of day NOPE scores on the ticker for the previous 30 trading days
Compute the median of the previous 30 trading days' NOPEs
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:
The mean of NOPE_MAD for any ticker is almost exactly 0.
[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:
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.
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.
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).
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.
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:
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.
Sell/buy to close said shares at the first sign of major weakness (e.g. if the NOPE predicted outcome is incorrect).
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.
Only play tickers with high NOPE as well as high option/share vol.
--- 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
Hi there, I am fairly new to trading especially with options. I’m trying to figure out a way, where if I set a price target for a stock at a strike date, then I could use probability density from that price target to help me figure out which options to buy/sell, giving me the highest Risk/Reward Ratio. Example: Stock XYZ is selling at $10. I think that in 2 weeks, stock XYZ will go up 10% to $11. I want to somehow apply a probability density (like standard deviation/bell curve) calculation to it. For example, based on my guess of the stock being 11$, I might expect something like this as the result (am just using BS numbers for the example) - 10% chance of XYZ being above $12.50 - 20% chance of XYZ being between $11.50 and $12.50 - 40% chance of XYZ being between $10.50 and $11.50 - 20% chance of XYZ being between $9.50 and $10.50 - 10% chance of XYZ being below $9.50 From there, I can calculate my returns for different prices that XYZ may be after 2 weeks. And give each calculation different “weights” based on the probability of the stock ending at that price. i.e the calculation for the stock being exactly $11 would have the highest “weight” based on the probability density, $10.75 a little lower, then $10.25 a little lower, and so on.... Hopefully you can somewhat understand what I’m trying to do here; so my question is, what indicators or calculations/formulas would help me do something along these lines? I somewhat understand volatility (but maybe not well enough) and feel like it would definitely be used since it is based on standard deviations. I just don’t know what exactly to do with it, and I feel like there has to be some sort of indicators/formulas out there that apply. Any guidance/overall advice would be greatly appreciated. Thanks!!
Wall Street Week Ahead for the trading week beginning August 17th, 2020
Good Saturday morning to all of you here on stocks. I hope everyone on this sub made out pretty nicely in the market this past week, and is ready for the new trading week ahead. Here is everything you need to know to get you ready for the trading week beginning August 17th, 2020.
Stocks are ignoring the lack of a stimulus package from Congress, but that could change - (Source)
Stocks could hang at record levels but gains may be capped until Congress agrees to a new stimulus package to help the economy and the millions of unemployed Americans. Stocks were higher in the past week, and the S&P 500 flirted with record levels it set in February. In the coming week, there are some major retailers reporting earnings, including Walmart, Home Depot and Target, but the season is mostly over and the market is entering a quiet period. There are minutes from the Fed’s last meeting, released Wednesday, and housing data, including starts Tuesday and existing sales Friday. Investors had been watching efforts by Congress to agree to a new stimulus package, but talks have failed and the Senate has gone on recess. There is a concern that Congress will not be convinced to provide a big enough package when it does get to work again on the next stimulus round because recent economic reports look stronger. July’s retail sales, for example, climbed to a record level and recovered to pre-pandemic levels. “The juxtaposition of getting more fiscal stimulus and better data has paralyzed us in our tracks … we’ve seen this sideways [market] action,” said Art Hogan, chief market strategist at National Alliance. “It feels like we need more action from Congress, and the concern is the longer we wait, the better the data gets and the less impactful the next round of stimulus will be.” Some technical analysts say the market may pull back around the high, to allow it to consolidate gains before moving higher into the end of the year. The S&P 500 reached an all-time high of 3,393 on Feb. 19. Hogan said he expects stocks to tread sideways during the dog days of August, but they could begin to react negatively to the election in September. He also said it is important that progress continue against the spread of Covid-19, as the economy continues to reopen. Peter Boockvar, chief investment strategist at Bleakley Advisory Group, said the market could have a wakeup call at some point that the stimulus package has not been approved. “I think it will cross over a line where they care,” he said. “I think the market is in suspended animation of believing there will be a magical deal.” Boockvar said he expects a deal ultimately, but the impact is not likely to be as big as the last round of funding. “What they’re not grasping is any deal, any extension of unemployment benefits, is going to be smaller than it was, and the rate of change should be the most important thing investors focus on,” he said. “Not the binary outcome of whether there’s a deal or no deal. There’s going to be less air going into the balloon.”
It’s the economy
Still, economists expect to see a strong rebound in the third quarter, and are anticipating about about a 20% jump in third-quarter growth. But they also say that could be threatened if Congress does not help with another stimulus package. Mark Zandi, chief economist at Moody’s Analytics, described the July retail sales as a perfect V-shaped recovery, but cautioned it would not last unless more aid gets to individuals and cities and states. Democrats have sought a $3 trillion spending package, and Republicans in the Senate offered a $1 trillion package. They could not reach a compromise, including on a $600 weekly payment to individuals on unemployment which expired July 31. President Donald Trump has tried to fill the gap with executive orders to provide extra benefits to those on unemployment, but the $300 federal payment and $100 from states may take some time to reach individuals, as the processing varies by state. He has also issued an order instructing the Treasury to temporarily defer collection of payroll taxes from individuals making up to $104,000. “I think in August and September, there will be a lot of Ws, if there’s not more help here,” said Zandi, referring to an economic recovery that retrenches from a V shape before heading higher again. “It’s clearly perplexing. It may take the stock market to say we’re not going to get what we expect, and sell off and light a fire.” Zandi said it could come to a situation like 2008, where the stock market sold off sharply before Congress would agree to a program that helped financial companies. “We need a TARP moment to get these guys to help. Maybe if the claims tick higher and the August employment numbers are soft, given the president is focused on the stock market, that might be what it takes to get them back to the table in earnest,” he said, referring to the Troubled Asset Relief Program that helped rescue banks during the financial crisis. He ultimately expects a package of about $1.5 trillion to be approved in September. The lack of funding for state and local governments could result in more layoffs, as they struggle with their current 2021 budgets, Zandi said. Already 1.3 million public sector jobs have been lost since February, and there will be more layoffs and more programs and projects cancelled. The impact will hit contractors and other businesses that provide services to local governments. “The multipliers on state and local government are among the highest of any form of support, so if you don’t provide it, it’s going to ripple through the economy pretty fast,” he said. Economists expect to see a softening in consumer spending in August with the more than 28 million Americans on unemployment benefits as of mid-July no longer receiving any supplemental pay. “The real irony is things are shaping up that September is going to be a bad month, and that’s going to show up in all the data in October,” Zandi said. “They are really taking a chance on this election by not acting.”
This past week saw the following moves in the S&P:
The S&P 500 Index is a few points away from a new all-time high, completing one of the fastest recoveries from a bear market ever. But this will also seal the deal on the shortest bear market ever. Remember, the S&P 500 Index lost 20% from an all-time high in only 16 trading days back in February and March, so it makes sense that this recovery could be one of the fastest ever. From the lows on March 23, the S&P 500 has now added more than 50%. Many have been calling this a bear market rally for months, while we have been in the camp this is something more. It’s easy to see why this rally is different based on where it stands versus other bear market rallies:
They say the stock market is the only place where things go on sale, yet everyone runs out of the store screaming. We absolutely saw that back in March and now with stocks near new highs, many have missed this record run. Here we show how stocks have been usually higher a year or two after corrections.
After a historic drop in March, the S&P 500 has closed higher in April, May, June, and July. This rare event has happened only 11 other times, with stocks gaining the final five months of the year a very impressive 10 times. Only 2018 and the nearly 20% collapse in December saw a loss those final five months.
As shown in the LPL Chart of the Day, this bear market will go down as the fastest ever, at just over one month. The recovery back to new highs will be five months if we get there by August 23, making this one of the fastest recoveries ever. Not surprisingly, it usually takes longer for bear markets in a recession to recover; only adding to the impressiveness of this rally.
“It normally takes 30 months for bear markets during a recession to recover their losses, which makes this recovery all the more amazing,” said LPL Financial Chief Market Strateigst Ryan Detrick.. “Then again, there has been nothing normal about this recession, so maybe we shouldn’t be shocked about yet another record going down in 2020.”
When a Few Basis Points Packs a Punch
US Treasury yields have been on the rise this week with the 10-year yield rising 13 basis points (bps) from 0.56% up to 0.69% after getting as high as 0.72% on Thursday. A 13 bps move higher in interest rates may not seem like a whole lot, but with rates already at such low levels, a small move can have a pretty big impact on the prices of longer-term maturities.
Starting with longer-term US Treasuries, TLT, which measures the performance of maturities greater than 20 years, has declined 3.5% this week. Now, for a growth stock, 3.5% is par for the course, but that kind of move in the Treasury market is no small thing. The latest pullback for TLT also coincides with another failed attempt by the ETF to trade and stay above $170 for more than a day.
The further out the maturity window you go in the fixed income market, the bigger the impact of the move higher in interest rates. The Republic of Austria issued a 100-year bond in 2017, and its movements exemplify the wild moves that small changes in interest rates (from a low base) can have on prices. Just this week, the Austrian 100-year was down over 5%, which is a painful move no matter what type of asset class you are talking about. This week's move, though, was nothing compared to the stomach-churning swings from earlier this year. When Covid was first hitting the fan, the 100-year rallied 57% in the span of less than two months. That kind of move usually occurs over years rather than days, but in less than a third of that time, all those gains disintegrated in a two-and-a-half week span from early to late March. Easy come, easy go. Ironically enough, despite all the big up and down moves in this bond over the last year, as we type this, the bond's price is the same now as it was on this same day last year.
At the headline level, July’s Retail Sales report disappointed as the reading missed expectations by nearly a full percentage point. Just as soon as the report was released, we saw a number of stories pounce on the disappointment as a sign that the economy was losing steam. Looked at in more detail, though, the July report wasn’t all that bad. While the headline reading rose less than expected (1.2% vs 2.1%), Ex Autos and Ex Autos and Gas, the results were much better than expected. Not only that, but June’s original readings were all revised higher by around a full percentage point. Besides the fact that this month’s report was better underneath the surface and June’s reading was revised higher, it was also notable as the seasonally-adjusted annualized rate of sales in July hit a new record high. After the last record high back in January, only five months passed until American consumers were back to their pre-Covid spending ways. For the sake of comparison, back during the Financial Crisis, 40 months passed between the original high in Retail Sales in November 2007 and the next record high in April 2011. 5 months versus 40? Never underestimate the power of the US consumer!
While the monthly pace of retail sales is back at all-time highs, the characteristics behind the total level of sales have changed markedly in the post COVID world. In our just released B.I.G. Tips report we looked at these changing dynamics to highlight the groups that have been the biggest winners and losers from the shifts.
100 Days of Gains
Today marked 100 trading days since the Nasdaq 100's March 20th COVID Crash closing low. Below is a chart showing the rolling 100-trading day percentage change of the Nasdaq 100 since 1985. The 59.8% gain over the last 100 trading days ranks as the 3rd strongest run on record. The only two stronger 100-day rallies ended in January 1999 and March 2000.
While the Nasdaq 100 bottomed on Friday, March 20th, the S&P 500 bottomed the following Monday (3/23). This means tomorrow will mark 100 trading days since the S&P 500's COVID Crash closing low. Right now the rolling 100-day percentage change for the S&P 500 sits at +46.7%. But if the S&P manages to trade at current levels tomorrow, the 100-day gain will jump above 50%. It has been 87 years (1933) since we've seen a 100-day gain of more than 50%!
Whether you want to look at it from the perspective of closing prices or intraday levels, the S&P 500 is doing what just about everybody thought would be impossible less than five months ago - approaching record highs. Relative to its closing high of 3,386.15, the S&P 500 is just 0.27% lower, while it's within half of a percent from its record intraday high of 3,393.52. Through today, the S&P 500 has gone 120 trading days without a record high, and as shown in the chart below, the current streak is barely even visible when viewed in the perspective of all streaks since 1928. Even if we zoom in on just the last five years, the current streak of 120 trading days only ranks as the fourth-longest streak without a new high. While the S&P 500's 120-trading day streak without a new high isn't extreme by historical standards, the turnaround off the lows has been extraordinary. In the S&P 500's history, there have been ten prior declines of at least 20% from a record closing high. Of those ten prior periods, the shortest gap between the original record high and the next one was 309 trading days, and the shortest gap between highs that had a pullback of at least 30% was 484 tradings days (or more than four times the current gap of 120 trading days). For all ten streaks without a record high, the median drought was 680 trading days.
Whenever the S&P 500 does take out its 2/19 high, the question is whether the new high represents a breakout where the S&P 500 keeps rallying into evergreen territory, or does it run out of gas after finally reaching a new milestone? To shed some light on this question, we looked at the S&P 500's performance following each prior streak of similar duration without a new high.
STOCK MARKET VIDEO: Stock Market Analysis Video for Week Ending August 14th, 2020
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STOCK MARKET VIDEO: ShadowTrader Video Weekly 8.16.20
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(VIDEO NOT YET POSTED!) Here are the most notable companies (tickers) reporting earnings in this upcoming trading week ahead-
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Walmart Inc. $132.60
Walmart Inc. (WMT) is confirmed to report earnings at approximately 7:00 AM ET on Tuesday, August 18, 2020. The consensus earnings estimate is $1.20 per share on revenue of $134.28 billion and the Earnings Whisper ® number is $1.29 per share. Investor sentiment going into the company's earnings release has 81% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 5.51% with revenue increasing by 2.99%. Short interest has decreased by 12.5% since the company's last earnings release while the stock has drifted higher by 0.6% from its open following the earnings release to be 9.9% above its 200 day moving average of $120.64. Overall earnings estimates have been revised higher since the company's last earnings release. On Tuesday, August 11, 2020 there was some notable buying of 12,381 contracts of the $135.00 put expiring on Friday, August 21, 2020. Option traders are pricing in a 4.9% move on earnings and the stock has averaged a 2.3% move in recent quarters.
NVIDIA Corp. (NVDA) is confirmed to report earnings at approximately 4:20 PM ET on Wednesday, August 19, 2020. The consensus earnings estimate is $1.95 per share on revenue of $3.65 billion and the Earnings Whisper ® number is $2.01 per share. Investor sentiment going into the company's earnings release has 84% expecting an earnings beat The company's guidance was for earnings of $1.83 to $2.06 per share. Consensus estimates are for year-over-year earnings growth of 65.25% with revenue increasing by 41.53%. The stock has drifted higher by 31.0% from its open following the earnings release to be 57.7% above its 200 day moving average of $293.24. Overall earnings estimates have been revised higher since the company's last earnings release. On Friday, August 14, 2020 there was some notable buying of 3,787 contracts of the $460.00 call expiring on Friday, August 21, 2020. Option traders are pricing in a 7.7% move on earnings and the stock has averaged a 4.0% move in recent quarters.
Alibaba Group Holding Ltd. (BABA) is confirmed to report earnings at approximately 7:10 AM ET on Thursday, August 20, 2020. The consensus earnings estimate is $1.99 per share on revenue of $21.13 billion and the Earnings Whisper ® number is $2.11 per share. Investor sentiment going into the company's earnings release has 83% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 8.74% with revenue increasing by 26.22%. Short interest has increased by 30.1% since the company's last earnings release while the stock has drifted higher by 25.0% from its open following the earnings release to be 20.0% above its 200 day moving average of $211.59. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, August 7, 2020 there was some notable buying of 12,935 contracts of the $300.00 call expiring on Friday, November 20, 2020. Option traders are pricing in a 6.2% move on earnings and the stock has averaged a 3.1% move in recent quarters.
JD.com, Inc. (JD) is confirmed to report earnings at approximately 5:50 AM ET on Monday, August 17, 2020. The consensus earnings estimate is $0.38 per share on revenue of $26.98 billion and the Earnings Whisper ® number is $0.46 per share. Investor sentiment going into the company's earnings release has 78% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 52.00% with revenue increasing by 23.25%. Short interest has increased by 16.7% since the company's last earnings release while the stock has drifted higher by 24.1% from its open following the earnings release to be 36.9% above its 200 day moving average of $45.34. Overall earnings estimates have been revised higher since the company's last earnings release. On Friday, August 14, 2020 there was some notable buying of 12,799 contracts of the $62.00 call expiring on Friday, August 21, 2020. Option traders are pricing in a 8.0% move on earnings and the stock has averaged a 6.4% move in recent quarters.
Home Depot, Inc. (HD) is confirmed to report earnings at approximately 6:00 AM ET on Tuesday, August 18, 2020. The consensus earnings estimate is $3.71 per share on revenue of $31.67 billion and the Earnings Whisper ® number is $3.75 per share. Investor sentiment going into the company's earnings release has 78% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 17.03% with revenue increasing by 2.69%. Short interest has decreased by 39.8% since the company's last earnings release while the stock has drifted higher by 16.7% from its open following the earnings release to be 22.4% above its 200 day moving average of $229.20. Overall earnings estimates have been revised higher since the company's last earnings release. On Friday, August 14, 2020 there was some notable buying of 3,323 contracts of the $300.00 call expiring on Friday, August 28, 2020. Option traders are pricing in a 4.2% move on earnings and the stock has averaged a 2.5% move in recent quarters.
Lowe's Companies, Inc. (LOW) is confirmed to report earnings at approximately 6:00 AM ET on Wednesday, August 19, 2020. The consensus earnings estimate is $2.93 per share on revenue of $21.29 billion and the Earnings Whisper ® number is $2.97 per share. Investor sentiment going into the company's earnings release has 78% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 36.28% with revenue increasing by 1.42%. Short interest has decreased by 19.2% since the company's last earnings release while the stock has drifted higher by 25.9% from its open following the earnings release to be 31.2% above its 200 day moving average of $117.67. Overall earnings estimates have been revised higher since the company's last earnings release. On Friday, August 7, 2020 there was some notable buying of 1,994 contracts of the $170.00 call expiring on Friday, August 21, 2020. Option traders are pricing in a 6.0% move on earnings and the stock has averaged a 5.8% move in recent quarters.
Target Corp. (TGT) is confirmed to report earnings at approximately 6:30 AM ET on Wednesday, August 19, 2020. The consensus earnings estimate is $1.56 per share on revenue of $19.30 billion and the Earnings Whisper ® number is $1.64 per share. Investor sentiment going into the company's earnings release has 75% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 14.29% with revenue increasing by 4.77%. Short interest has decreased by 36.8% since the company's last earnings release while the stock has drifted higher by 10.0% from its open following the earnings release to be 18.0% above its 200 day moving average of $115.73. Overall earnings estimates have been revised higher since the company's last earnings release. On Monday, August 10, 2020 there was some notable buying of 4,479 contracts of the $135.00 call expiring on Friday, September 18, 2020. Option traders are pricing in a 6.3% move on earnings and the stock has averaged a 7.7% move in recent quarters.
Sea Limited (SE) is confirmed to report earnings at approximately 6:30 AM ET on Tuesday, August 18, 2020. The consensus estimate is for a loss of $0.47 per share on revenue of $1.03 billion and the Earnings Whisper ® number is ($0.36) per share. Investor sentiment going into the company's earnings release has 74% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 34.29% with revenue increasing by 136.16%. Short interest has decreased by 8.5% since the company's last earnings release while the stock has drifted higher by 91.7% from its open following the earnings release to be 98.1% above its 200 day moving average of $63.87. Overall earnings estimates have been revised lower since the company's last earnings release. On Tuesday, August 4, 2020 there was some notable buying of 4,000 contracts of the $110.00 put expiring on Friday, January 15, 2021. Option traders are pricing in a 12.9% move on earnings and the stock has averaged a 16.7% move in recent quarters.
Niu Technologies (NIU) is confirmed to report earnings at approximately 3:00 AM ET on Monday, August 17, 2020. The consensus earnings estimate is $0.07 per share on revenue of $88.07 million and the Earnings Whisper ® number is $0.11 per share. Investor sentiment going into the company's earnings release has 57% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 30.00% with revenue increasing by 13.97%. Short interest has increased by 18.9% since the company's last earnings release while the stock has drifted higher by 129.8% from its open following the earnings release to be 90.3% above its 200 day moving average of $10.94. Overall earnings estimates have been revised higher since the company's last earnings release. The stock has averaged a 3.7% move on earnings in recent quarters.
BJ's Wholesale Club, Inc. (BJ) is confirmed to report earnings at approximately 6:45 AM ET on Thursday, August 20, 2020. The consensus earnings estimate is $0.57 per share on revenue of $3.64 billion and the Earnings Whisper ® number is $0.60 per share. Investor sentiment going into the company's earnings release has 73% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 46.15% with revenue increasing by 8.79%. Short interest has decreased by 3.2% since the company's last earnings release while the stock has drifted higher by 33.8% from its open following the earnings release to be 46.7% above its 200 day moving average of $28.27. Overall earnings estimates have been revised higher since the company's last earnings release. On Wednesday, August 12, 2020 there was some notable buying of 2,119 contracts of the $50.00 call expiring on Friday, September 18, 2020. Option traders are pricing in a 12.4% move on earnings and the stock has averaged a 10.0% move in recent quarters.
Retard Bot Update 2: What is there to show for six months of work?
What is there to show? Not shit, that's why I made this pretty 4K desktop background instead: 4K On the real: I've been developing this project like 6 months now, what's up? Where's that video update I promised, showing off the Bot Builder? Is an end in sight? Yes sort of. I back-tested 6 months of data at over 21% on a net SPY-neutral, six month span of time (with similar results on a 16 year span) including 2 bear, 2 bull, 2 crab months. But that's not good enough to be sure / reliable. I had gotten so focused on keeping the project pretty and making a video update that I was putting off major, breaking changes that I needed to make. The best quant fund ever made, the Medallion fund, was once capable of roughly 60% per year consistently, but in Retard Bot's case 1.5% compounded weekly. "But I make 60% on one yolo" sure whatever, can you do it again every year, with 100% of your capital, where failure means losing everything? If you could, you'd be loading your Lambo onto your Yacht right now instead of reading this autistic shit.
The End Goal
1.5% compounded weekly average is $25K -> $57M in 10 years, securing a fairly comfortable retirement for your wife's boyfriend. It's a stupidly ambitious goal. My strategy to pull it off is actually pretty simple. If you look at charts for the best performing stocks over the past 10 years, you'll find that good companies move in the same general trajectory more often than they don't. This means the stock market moves with momentum. I developed a simple equation to conservatively predict good companies movements one week into the future by hand, and made 100%+ returns 3 weeks in a row. Doing the math took time, and I realized a computer could do much more complex math, on every stock, much more efficiently, so I developed a bot and it did 100% for 3 consecutive weeks, buying calls in a bull-market. See the problem there? The returns were good but they were based on a biased model. The model would pick the most efficient plays on the market if it didn't take a severe downturn. But if it did, the strategy would stop working. I needed to extrapolate my strategy into a multi-model approach that could profit on momentum during all different types of market movement. And so I bought 16 years of option chain data and started studying the concept of momentum based quantitative analysis. As I spent more and more weeks thinking about it, I identified more aspects of the problem and more ways to solve it. But no matter how I might think to design algorithms to fundamentally achieve a quantitative approach, I knew that my arbitrary weights and variables and values and decisions could not possibly be the best ones.
Why Retard Bot Might Work
So I approached the problem from all angles, every conceivable way to glean reliably useful quantitative information about a stock's movement and combine it all into a single outcome of trade decisions, and every variable, every decision, every model was a fluid variable that machine learning, via the process of Evolution could randomly mutate until perfection. And in doing so, I had to fundamentally avoid any method of testing my results that could be based on a bias. For example, just because a strategy back-tests at 40% consistent yearly returns on the past 16 years of market movement doesn't mean it would do so for the next 16 years, since the market could completely end its bull-run and spend the next 16 years falling. Improbable, but for a strategy outcome that can be trusted to perform consistently, we have to assume nothing. So that's how Retard Bot works. It assumes absolutely nothing about anything that can't be proven as a fundamental, statistical truth. It uses rigorous machine learning to develop fundamental concepts into reliable, fine tuned decision layers that make models which are controlled by a market-environment-aware Genius layer that allocates resources accordingly, and ultimately through a very complex 18 step process of iterative ML produces a top contender through the process of Evolution, avoiding all possible bias. And then it starts over and does it again, and again, continuing for eternity, recording improved models when it discovers them.
The Current Development Phase
Or... That's how it would work, in theory, if my program wasn't severely limited by the inadequate infrastructure I built it with. When I bought 16 years of data, 2TB compressed to its most efficient binary representation, I thought I could use a traditional database like MongoDB to store and load the option chains. It's way too slow. So here's where I've ended up this past week: It was time to rip off the bandaid and rebuild some performance infrastructure (the database and decision stack) that was seriously holding me back from testing the project properly. Using MongoDB, which has to pack and unpack data up and down the 7 layer OSI model, it took an hour to test one model for one year. I need to test millions of models for 16 years, thousands of times over. I knew how to do that, so instead of focusing on keeping things stable so I could show you guys some pretty graphs n shit, I broke down the beast and started rebuilding with a pure memory caching approach that will load the options chains thousands of times faster than MongoDB queries. And instead of running one model, one decision layer at a time on the CPU, the new GPU accelerated decision stack design will let me run hundreds of decision layers on millions of models in a handful of milliseconds. Many, many orders of magnitude better performance, and I can finally make the project as powerful as it was supposed to be. I'm confident that with these upgrades, I'll be able to hit the goal of 60% consistent returns per year. I'll work this goddamn problem for a year if I have to. I have, in the process of trying to become an entrepreneur, planned project after project and given up half way through when it got too hard, or a partner quit, or someone else launched something better. I will not give up on this one, if it takes the rest of the year or five more. But I don't think it'll come to that. Even with the 20% I've already achieved, if I can demonstrate that in live trading, that's already really good, so there's not really any risk of real failure at this point. But I will, regardless, finish developing the vision I have for Retard Bot and Bidrate Renaissance before I'm satisfied.
Ay yo, it’s everybody’s least-favourite user, comin’ atcha with another long-ass pseudo-essay that nobody asked for. This time, the topic is on talents. What is the Talent system? The talent system is one of the primary features of Paladins that sets it apart from its… competitors. At the beginning of each match, each player is allowed to select 1 talent from 3 to boost their champion. This talent chosen will usually synergize with the player’s chosen loadout, and will alter the champion’s performance in some way. I feel the Talents system is incredible. It allows each champion to fill a variety of different roles and have various methods of filling the roles they already have. Essentially, the talents system allows one to customize their champion and make them more unique to the user, or allowing the user to adapt to various situations (team compositions). So why the rant? Not all talents are created equal-- not even close. Before I go on, I’d like to establish what (in my opinion) makes a talent great, good, alright, or blasphemous. Note that this doesn’t necessarily correspond to the strength of the talent, only the talent’s creativity or individuality of its design.
A GREAT talent should be able to recontextualize a champion’s entire kit.
A great talent doesn’t just change a champion’s playstyle, it can change their entire ROLE. However, this must be done carefully, in such a way that the champion’s base kit and/or available cards remain largely relevant. The cards from the champion’s loadout should remain impactful, but perhaps focus can be placed on other cards that may not have been used otherwise, or using already-utilized cards differently. Undoubtedly, two of the best examples of this would be Pip’s Catalyst and Seris’ Soul Collector. Catalyst causes enemies slowed by Pip’s weapon shots to take an additional 30% damage from his primary attacks, and Soul Collector gives up to 15 2% boosts to Seris’ maximum health and primary attack damage for each Soul Charge she detonates. No matter how you feel about these talents, there is a clear difference between a Soul Collector Seris and a stock/Mortal Reach Seris, or a Catalyst Pip and a stock/Mega Potion Pip. Namely, that they’re dunking on you. One of the most notable things about these talents is that, again, the champions’ cards remain relevant. I play much more Seris than Pip, so I feel much safer discussing her cards. ALL BUT ONE of Seris’ cards (Soul Forge) remain relevant when she picks Soul Collector. Even if she chooses to play a more aggressive build, her Restore Soul cards remain relevant. The ability may no longer be the Seris’ primary focus, but its cards allow it to potentially remain relevant by providing ammo without reloading, providing healing to her on a short cooldown, or reducing the lengthy 14s base cooldown of Shadow Travel. Even the cards not related to Restore Soul gain new roles: Umbral Gait goes from allowing Seris to retreat more quickly from advancing enemies to also allowing her to close the distance between her and her target(s) with a *massive* speed boost of up to 40%. Essence Rip and Wickedness allow her to combat the crippling presence of Cauterize later in the round by improving her only self-sustain when on her own, allowing her to engage more confidently. This is, to me, the best talent in the game, just for how much it puts a twist on an otherwise simple champion, all while keeping her coherent. Well done, Evil Moji. Well done indeed.
A GOOD Talent recontextualizes a single ability.
A step below changing the entire kit of a champion, some talents change how a single ability is used. Examples of this include Maeve’s Rogue’s Gambit, Furia’s Solar Blessing, Vivian’s Booby Traps, (arguably) Makoa’s Half Shell, Pip’s Combat Medic, and Skye’s Grade A Medicinal Kush Smoke and Dagger. These are distinguished from the category below them by actually *changing how the ability is used.\* Simply improving a talent’s ability to do what it already does does not count for this. Maeve’s Rogue’s Gambit provides a small 10% damage boost to Pounce, but more notably resets its cooldown whenever she gets an elimination or killing blow. This allows for better dives through more reliable escape, but also improves her mobility greatly, especially if the player is skilled. It allows her to be a bit more loose with the otherwise fairly harsh possibility of having to expend her lengthy 20s cooldown of Nine Lives to escape, and can be the thing that allows great Maeves to play The Floor is Lava for what feels like the whole match. Vivian’s Booby Traps is simple: Drones go boom. It gives her a form of damage outside of shooting her gun at her opponent, and grants a bit of burst (as though she needed that), but also some fairly-reliable AoE damage. It incentivises using her drones multiple times during a fight rather than relying on a single pre-placed one as the drones will go boom, requiring her to replace them if she wants to continue gaining benefits from any reveal-based cards that may be in her loadout. Furia’s Solar Blessing is perhaps the strongest example of recontextualizing an ability, simply due to how drastic the change is. It changes her Pyre Strike from being a primarily defensive CC tool to being an extremely powerful healing ability. This comes at the cost of her often casting it when she’s not being attacked, potentially leaving her more vulnerable to flanks until it’s off cooldown. Likewise, if she uses to fight off a flank, she’s now missing the ability to burst-heal her tank back from the brink of death to near-full. A trade-off of self-defence or support. Nice.
An OK talent simply focuses on an ability, without changing its use very much.
This primarily means that X talent is now better at doing whatever it already did. Buck already likely uses Heroic Leap to engage; Bounce House just makes it a better tool to do so. Seris was already going to use Restore Soul to heal; Mortal Reach just improved its restorative capabilities. Inara was probably already going to use Warder’s Field to impede movement; Treacherous Ground just makes that infinitely easier. These talents are… fine. They’re often the ‘meta’ talents for champions (think Mega Potion, Bounce House, Luminary, etc.), and I believe that’s because they’re the ‘safe” options. They improve on what’s already there, and make the champion better at doing whatever they already do. It just makes sense that a talent to make a tank even tankier is going to be a common pick, right? These talents are, again, fine. They’re usually not overly offensive, and the worst thing about them will likely be that the numbers are a bit too high or low. Uncreative, but it’s not a crime to have most/every champion have a talent to improve their performance at their base job.
A BAD/SHIT talent focuses on a champion’s primary, without changing its use very much.
Let me specify: a bad talent likely focuses on the champion’s primary attack, adding some bonus effect (usually damage). It doesn’t particularly encourage the champion to do much else than what they’d do without the talent. You may be able to see where I’m going with this. Drogoz’ Fusillade, Vivian’s Opportunity in Chaos, Willo’s Blastflower, Pyromania in its pre-Vora state, and probably some others all fall under this category. Basically, if you can’t tell the champion is using a particular talent as opposed to not using a talent at all by anyway except your health bar drops faster, it’s probably a shit talent. But wouldn’t this include Lex’s Death Hastens, Jenos’ Binary Star and Androxus’ Cursed Revolver? Well… kind of. These talents, particularly the former and latter, are notably special cases. While they do focus on the weapons, they change them in such a way that more focus is placed on aim and allowing greater opportunities to headshot. A difference between these three and their stock variants can easily be felt. What distinguishes Death Hastens and Cursed Revolver further is that they serve as sorts of fanservice, restoring their respective champions to older states for players who preferred these slow-firing and more accuracy-dependent forms. Whether you wish to include these talents in this category is up to you, but I’d personally just put them off to the side. The running theme here is change and identity. How much change can I feel when I play this talent? What identity does this talent establish for the champion, and possibly even for the player playing them? If the talents and card systems exist to customize a champion to a specific playstyle, the talent shouldn’t just make X ability Y% better at doing Z than it was before. There’s a very fine line between the criteria on this list for a good talent and a shit one, and one that may not be possible to explain with words. So, what the hell was the point of you writing all this? Hopefully, to gather feedback and see how correct people feel these criteria are. If positively received, I’d love for more talents to take routes that would lead them to being higher up on this list. If every talent changed the champion’s playstyle to the extent of Soul Collector and Catalyst, I feel this game would be infinitely closer to reaching its maximum potential, gaining customizability and potential creativity among playstyles perhaps rivalling the likes of TF2 (if we aren’t there already). As long as uncreative (damage) talents such as Fusillade, Opportunity in Chaos, and Blastflower exist, though, I feel like the game is not living up to its full potential. At the very least, I would like to see these bland talents reworked.
Seekers Beyond the Shroud is a Solo modern day occult RPG, written by Alex T. for Blackoath Entertainment. I first stumbled upon it on Kickstarter in October of 2019, and immediately backed it. There are few deliberately designed Solo RPG's, and its promise of solo rules, robust system, and setting was irresistible. I received my print copy this summer, but haven't had a chance until recently to play it. Now that I have, I wanted to do a quick review of the game, based on both my reading of it as well as the couple of sessions I've been able to play. While most of the review will be discussing the book itself, I'll include some notes on my play experience in spoilers. Layout and Design The book itself is solid. The cover image is cool and evocative--and the art in general is very well done. I only backed at the softcover level, but it's a solid and well designed layout. Actually, better than some of the recent games I've bought from more established companies. Setting It's modern day London. Your character has gone through some traumatic and horrifying experience that awakened them to the greater supernatural world. After much searching, you have come to the Omphalos, a secret town populated by mystics, monsters, and other...things. There, you begin your journey of both personal enlightenment and personal power. Character Creation Seekers uses the 6 classic attributes--Strength, Dexterity, Constitution, Intelligence, and Charisma, with Will replacing Wisdom. The scale is from 1-20, with all starting at 10. You then get an additional 20 points to further customize your character. I ended up putting my points into Dexterity, Will, Intelligence, and Charisma. I figured Will and Intelligence are key to any aspiring wizard, and--desiring to do something different than a rogue bad ass--I was hoping that Dexterity and Charisma would give me options to solve issues with something other than direct violence. This would become an issue later on. Next, you have "Secondary Attributes"--Hit Points (Con x10) or Sanity (Int x10) and the like. Then, you have Skills. They're pretty much what you would expect, a mix of combat and non-combat. You have 250 points to spend on the skills, but are limited to no more than 50 in any skill at creation. Some skills have a base value derived from your attributes (for example, One-Handed Melee starts with a value equal to your Str+Dex, while Persuade starts with a value equal to your Charisma X2), while other skills--the mystical ones--begin at 0 and can only be increased through gameplay. If you use a skill 5 times, you can make a Skill-Up roll. If you roll above the current value (i.e.: fail), you add 1 point to the skill. Given that I had a decent Dex, my combat skills were decent to begin with. I wanted to play an "ordinary joe" kind of character, so I spend my points on skills like Technology, Linguistics, and Persuade. I finally caved to my min/maxing tendencies though, and ended up boosting Parry and Sneak as high as I could, with a smattering of points in other combat skills. I had quite a few in the mid-40's, so my "mild mannered accountant" was surprisingly dangerous. Or so I thought. Backgrounds After the basics are done, you roll a d10 for your Background. Each provides and in-depth backstory for your character, and details the traumatic and often horrific moment that set you on the path of magic. Each also provides various penalties and bonuses that further modify your character. I rolled the "Near Death Experience"--my PC was a workaholic who almost dies of a heart attack. While "dead," he encounter a horrific spirit that he just barely managed to evade. Upon waking, he through aside his career and sought out some explanation for what he had seen. He has a bonus to Psychic Combat--which is used in the Astral Plane--but a penalty to his Constitution and Charisma. I had left my Con at 10, so it dropped to 9, and my Hit Points also dropped from 100 to 90. I wasn't worried though, as I had intended to be more sneaky and charming than tough. He said foreshadowingly. Combat Combat is relatively simple. As you approach a foe, you make an Initiative roll on a d20. Each foe has a static Initiative value; if you beat it, you go first and if not, then they do. If you beat them on the first turn, you have a chance to surprise or avoid them entirely. All combat rolls are done by the player. If an enemy attacks, you need to make a defensive roll (Parry, Dodge, or Find Cover) to avoid their attack, and you make your offensive roll (like One Handed Melee) to hit them. Certain foes are Veterans, and apply penalties to these rolls. Different types of weapons do different amounts of damage--like 2d10+10 for a pistol. In the intro adventure, the PC gains a "talent" that grants them a flat +25 to their damage from then on. Most foes have roughly 100-130 Hit Points, so even with the player bonus, it can take quite a few rounds to get through even minor enemies. The Mystical World The next few sections are some of the most interesting, describing the Astral World, Magic, Summoning and Binding Spirits, and the like. I haven't had a chance to really dig into this aspect of the game, however. The Omphalos and Scenarios The core of the game is the Omphalos, a hub of trade, commerce, knowledge and intrigue. Here the PC can buy and sell gear, learn new knowledge, encounter the strange denizens of this world, and get missions for various factions. There are four listed in the book, each with their own agendas and philosophy. Each has constant need for "foot soldiers" to do various unsavory tasks for them, and as you gain Favor with each, they provide various bonuses and spells and other benefits. >! So, I finished the intro scenario, had some knowledge of the greater world, and had been introduced to the Omphalos. Time for the first "real" adventure! First, I roll on the Emphalos Daily Event table and got "quiet day"--things are calm today, and prices are low. I have only a few obols (the currency of the magical realm), so any discount is nice. Then I roll for Encounters, and get "pickpocket." There's no roll to avoid this, so my PC loses 100 obols. This is more than I have, so I am no broke. Desperate for work, I see who is hiring. There are 4 factions, and each might have a represented in town that day, based on a roll of 7+ on a D10. I roll for each, and only one is present, the Causa Scientiae a particularly rational and Order focused faction. I then roll for the Scenario--I get "recover." One of their artifacts has fallen into mortal hands and is in a museum. They want me to recover it for them. Given the setup, there will only be mortal guards--which is nice--and they don't want me to kill anyone. In fact, each guard I kill will cost me the possible Favor reward with the faction. Works for me--I don't want to kill anyone either.!< I could refuse job, but risk losing Favor with them. Given that they are the only ones hiring today, I'm loathe to refuse. Plus the job seems up my alley--no magics needed (and I have none), and I should avoid all combat. Since other types of mission are "kill everything on site" or "kill everything and cast a really tough ritual" I figure I'm unlikely to get a better mission. Next I go to the scenario design. There are a number of possible locations, and each has a unique setup, Events, and Discoveries. This is probably my favorite part of the game. I roll some dice, get a list of rooms and locations, and then create a simple map for my explorations. I know given the setup that the artifact in question will be discovered in the 16th room. But, a roleplayer is gonna roleplay, so I decide my PC will make a beeline for the Archives, assuming that the object surely must be there. And, if not, it will have the necessary paperwork showing where the object is. Each room has unique odds for three different types of encounters--Enemies, Events, and Discoveries. I begin at the Entrance, and have no enemies but an Event reveals Drug Fueled Goons--apparently the guards here are all high as hell, and have a bonus of 20 to their Hit Points, but a -10 to combat. So, tougher to kill, but easier to hit and avoid. The next room I enter is the Lobby, and there's a guard present. The guard rules state that they will attack on site. I could use an alternate rule that lets you talk past human-type foes but, well, I am breaking in and they are all drugged the hell up, so I stick with the basic rules. Still, I try to avoid them but fail in my starting initiative roll. The battle begins, and the dice are on my side. It's a running gun battle, but I'm able to kill the guard. When he's wounded, he calls for backup, and the dice gods are still smiling at me, and I make it through that battle without any injuries. I'm upset at my failure to avoid combat--and losing Favor with my client--but after some nasty battles in the intro adventure, I start to think I'm getting things sorted out. I continue exploring and even manage to successfully sneak past a guard. As I'm exploring one of the administration offices, I run into another one. This time I can't avoid him, and another fight ensues. This time, the dice don't roll so well. He quickly gets the better of me, and I end up taking a lot damage. And with only 90 Hit Points, it's far more than I'm comfortable with. I decide to run. To run away, you need to roll a D20 and, like initiative, and beat their Dexterity but even still they get a free attack on you. Not that it matters, as I fail to disengage. After two rounds spent trying to run away, my PC is shot dead on some secretaries desk and my game came to a close. Concluding Thoughts Seekers Beyond the Shroud is a very interesting game. Obviously, a ton of thought, love, and work has been poured into this game. And there is a lot I love about it--the world, the discussions on magic and spirits, the mission setup system--all top notch. But, there are some things that didn't quite work for me.
Skill resolution. The binary pass/fail doesn't really interest me, particularly for a Solo game. This is purely a personal preference, however.
Skill improvement. 5 usage of skills or 5 combats (for combat skills) to have the chance to increase a skill by 1%? Character progression seems like it would be glacial. Not that I would know, since...
Combat is brutal, and tedious. Not only does even simple combat take several rounds (each requiring an Initiative Roll, a defense roll, an offense roll, and various damage rolls), but they are fairly generic without a chance to meaningfully do anything different or interesting. Also, while the game embraces an "old school" philosophy that not all fights should be fought, this runs counter to both the Scenario design (where "kill all foes" is a pretty common goal), and the System itself. Combat is assumed, after all, and avoiding it requires two separate rolls, neither of which will have a more than 50% chance, at best, of success. And failing either results in combat which requires sheer luck to disengage from.
The Scenario and the system felt...disjointed. This is another purely subjective point, I'll concede, but I didn't like how I had to "dungeon crawl" my way through the Museum. I like the idea of a museum unknowingly having a mystical artifact and my ex-accountant having to figure out how to steal it, without killing anyone. I'd love to do a solo game where I need to assemble a crew to try and help me (can I trust them?), try to locate where the artifact is, do some recon, plan the heist, try to get and get out without drawing attention. Sounds like a fun heist game that could at any moment fall apart. Walking around room by room killing guards didn't seem to do the setup justice.
Failure. Failure needs to be part of any game system, because otherwise it's not really a "game." And death is the ultimate failure, which gives combat meaning. But there has to be a middle ground between "you can't fail" and "oh, you didn't roll significantly better than average for the past 8 dice rolls, so your character is dead and the game is over." I don't know how to square this particular circle.
I'll probably give the game another shot. But, instead of playing an average guy awakening to a wider world, I'll probably go with a more "badass" character and hope he can survive the first few missions. In Seekers, knowing ancient languages is nice, but real mages know how to use a Glock. TLDR Seekers Beyond the Shroud is an interesting Solo RPG of modern occult shenanigans. it has a lot of very interesting and fun mechanics to bring the game to life, but suffers from some bad editing (make sure you play through the intro scenario or you WILL miss a key "PC Bonus") and an unforgiving system. Still, worth checking out for any Solo gamer interested in more contemporary game.
Greetings! 👋🏻 Today we will tell you about the profitability and benefits of trading binary options on BAEX. With binary options, your profit or loss is locked. That is, you will earn a fixed amount depending on how well you speculate on the price of the underlying instrument for the move. So, if you get $ 100, if Etherum's price rises in the next 60 seconds, that's what you get, whether the price rises to $ 1 or $ 300. If the price falls, you lose your investment. You don't need to open a cryptocurrency wallet to get started. Trading binary options does not require you to own the underlying instrument, which in this case, could be $ 5000 Bitcoin. This is a good option if you do not want to hold long positions. In general, there are two options for correctly predicting the price movement and, accordingly, making a profit on binary options. The first option involves an active analysis of the market situation using fundamental and technical methods to predict the short and medium-term market behavior. In our opinion, the second option is more popular among traders and involves the use of two main advantages of binary options - the time and distance that the price of the selected asset must "pass" (we will talk about these advantages below). This option is also called "news trading" - quite often; the market reacts to momentary events. 🏆 Benefits of trading binary options on BAEX: 🔹 Simplicity and accessibility of the "mechanics" of binary options; 🔹 Transaction costs - your associated costs will be zero; 🔹 Time - there is a chance to earn, for example, 100% of the invested amount in just one minute; 🔹 Distance - the profit a trader makes does not depend in any way on the distance the price travels. ✅ Also, BAEX is the only binary options system where the profit can exceed 100%! On BAEX tokens, you can trade options on exchange rates and stocks through the blockchain and earn almost instantly! Typically, profits will be in the range of 180 to 220% of the trade volume, but the system automatically adjusts the odds based on the ratio of losses to winnings. ⚡️ Join BAEX today: https://baex.com https://preview.redd.it/s1ru2p9h8gv51.png?width=1200&format=png&auto=webp&s=df3b9970c18848f3629f1b4260bea3ae14ed00a5
Trade binary options on the real market quotes on BAEX Blockchain eliminates exchange rate manipulation!
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Forex Signals Reddit: top providers review (part 1)
Forex Signals - TOP Best Services. Checked!
To invest in the financial markets, we must acquire good tools that help us carry out our operations in the best possible way. In this sense, we always talk about the importance of brokers, however, signal systems must also be taken into account. The platforms that offer signals to invest in forex provide us with alerts that will help us in a significant way to be able to carry out successful operations. For this reason, we are going to tell you about the importance of these alerts in relation to the trading we carry out, because, without a doubt, this type of system will provide us with very good information to invest at the right time and in the best assets in the different markets. financial Within this context, we will focus on Forex signals, since it is the most important market in the world, since in it, multiple transactions are carried out on a daily basis, hence the importance of having an alert system that offers us all the necessary data to invest in currencies. Also, as we all already know, cryptocurrencies have become a very popular alternative to investing in traditional currencies. Therefore, some trading services/tools have emerged that help us to carry out successful operations in this particular market. In the following points, we will detail everything you need to know to start operating in the financial markets using trading signals: what are signals, how do they work, because they are a very powerful help, etc. Let's go there!
What are Forex Trading Signals?
https://preview.redd.it/vjdnt1qrpny51.jpg?width=640&format=pjpg&auto=webp&s=bc541fc996701e5b4dd940abed610b59456a5625 Before explaining the importance of Forex signals, let's start by making a small note so that we know what exactly these alerts are. Thus, we will know that the signals on the currency market are received by traders to know all the information that concerns Forex, both for assets and for the market itself. These alerts allow us to know the movements that occur in the Forex market and the changes that occur in the different currency pairs. But the great advantage that this type of system gives us is that they provide us with the necessary information, to know when is the right time to carry out our investments.
In other words, through these signals, we will know the opportunities that are presented in the market and we will be able to carry out operations that can become quite profitable.
Profitability is precisely another of the fundamental aspects that must be taken into account when we talk about Forex signals since the vast majority of these alerts offer fairly reliable data on assets. Similarly, these signals can also provide us with recommendations or advice to make our operations more successful.
»Purpose: predict movements to carry out Profitable Operations
In short, Forex signal systems aim to predict the behavior that the different assets that are in the market will present and this is achieved thanks to new technologies, the creation of specialized software, and of course, the work of financial experts. In addition, it must also be borne in mind that the reliability of these alerts largely lies in the fact that they are prepared by financial professionals. So they turn out to be a perfect tool so that our investments can bring us a greater number of benefits.
The best signal services today
We are going to tell you about the 3 main alert system services that we currently have on the market. There are many more, but I can assure these are not scams and are reliable. Of course, not 100% of trades will be a winner, so please make sure you apply proper money management and risk management system.
1. 1000pipbuilder (top choice)
Fast track your success and follow the high-performance Forex signals from 1000pip Builder. These Forex signals are rated 5 stars on Investing.com, so you can follow every signal with confidence. All signals are sent by a professional trader with over 10 years investment experience. This is a unique opportunity to see with your own eyes how a professional Forex trader trades the markets. The 1000pip Builder Membership is ordinarily a signal service for Forex trading. You will get all the facts you need to successfully comply with the trading signals, set your stop loss and take earnings as well as additional techniques and techniques! You will get easy to use trading indicators for Forex Trades, including your entry, stop loss and take profit. Overall, the earnings target per months is 350 Pips, depending on your funding this can be a high profit per month! (In fact, there is by no means a guarantee, but the past months had been all between 600 – 1000 Pips). >>>Know more about 1000pipbuilder Your 1000pip builder membership gives you all in hand you want to start trading Forex with success. Read the directions and wait for the first signals. You can trade them inside your demo account first, so you can take a look at the performance before you make investments real money! Features:
Forex signals sent by email and SMS
Entry price, take profit and stop loss provided
Suitable for all time zones (signals sent over 24 hours)
Digital Derivatives Markets (DDMarkets) have been providing trade alert offerings since May 2014 - fully documenting their change ideas in an open and transparent manner. September 2020 performance report for DD Markets. Their manner is simple: carry out extensive research, share their evaluation and then deliver a trading sign when triggered. Once issued, daily updates on the trade are despatched to members via email. It's essential to note that DDMarkets do not tolerate floating in an open drawdown in an effort to earnings at any cost - a common method used by less professional providers to 'fudge' performance statistics. Verified Statistics: Not independently verified. Price: plans from $74.40 per month. Year Founded: 2014 Suitable for Beginners: Yes, (includes handy to follow trade analysis) VISIT -------
If you are looking or a forex signal service with a reliable (and profitable) music record you can't go previous Joel Kruger and the team at JKonFX. Trading performance file for JKonFX. Joel has delivered a reputable +59.18% journal performance for 2016, imparting real-time technical and fundamental insights, in an extremely obvious manner, to their 30,000+ subscriber base. Considered a low-frequency trader, alerts are only a small phase of the overall JKonFX subscription. If you're searching for hundreds of signals, you may want to consider other options. Verified Statistics: Not independently verified. Price: plans from $30 per month. Year Founded: 2014 Suitable for Beginners: Yes, (includes convenient to follow videos updates). VISIT
The importance of signals to invest in Forex
Once we have known what Forex signals are, we must comment on the importance of these alerts in relation to our operations. As we have already told you in the previous paragraph, having a system of signals to be able to invest is quite advantageous, since, through these alerts, we will obtain quality information so that our operations end up being a true success.
»Use of signals for beginners and experts
In this sense, we have to say that one of the main advantages of Forex signals is that they can be used by both beginners and trading professionals. As many as others can benefit from using a trading signal system because the more information and resources we have in our hands. The greater probability of success we will have. Let's see how beginners and experts can take advantage of alerts:
Beginners: for inexperienced these alerts become even more important since they will thus have an additional tool that will guide them to carry out all operations in the Forex market.
Professionals: In the same way, professionals are also recommended to make use of these alerts, so they have adequate information to continue bringing their investments to fruition.
Now that we know that both beginners and experts can use forex signals to invest, let's see what other advantages they have.
When we dedicate ourselves to working in the financial world, none of us can spend 24 hours in front of the computer waiting to perform the perfect operation, it is impossible. That is why Forex signals are important, because, in order to carry out our investments, all we will have to do is wait for those signals to arrive, be attentive to all the alerts we receive, and thus, operate at the right time according to the opportunities that have arisen. It is fantastic to have a tool like this one that makes our work easier in this regard.
»Carry out profitable Forex operations
These signals are also important, because the vast majority of them are usually quite profitable, for this reason, we must get an alert system that provides us with accurate information so that our operations can bring us great benefits. But in addition, these Forex signals have an added value and that is that they are very easy to understand, therefore, we will have a very useful tool at hand that will not be complicated and will end up being a very beneficial weapon for us.
»Decision support analysis
A system of currency market signals is also very important because it will help us to make our subsequent decisions. We cannot forget that, to carry out any type of operation in this market, previously, we must meditate well and know the exact moment when we will know that our investments are going to bring us profits . Therefore, all the information provided by these alerts will be a fantastic basis for future operations that we are going to carry out.
»Trading Signals made by professionals
Finally, we have to recall the idea that these signals are made by the best professionals. Financial experts who know perfectly how to analyze the movements that occur in the market and changes in prices. Hence the importance of alerts, since they are very reliable and are presented as a necessary tool to operate in Forex and that our operations are as profitable as possible.
What should a signal provider be like?
https://preview.redd.it/j0ne51jypny51.png?width=640&format=png&auto=webp&s=5578ff4c42bd63d5b6950fc6401a5be94b97aa7f As you have seen, Forex signal systems are really important for our operations to bring us many benefits. For this reason, at present, there are multiple platforms that offer us these financial services so that investing in currencies is very simple and fast. Before telling you about the main services that we currently have available in the market, it is recommended that you know what are the main characteristics that a good signal provider should have, so that, at the time of your choice, you are clear that you have selected one of the best systems.
»Must send us information on the main currency pairs
In this sense, one of the first things we have to comment on is that a good signal provider, at a minimum, must send us alerts that offer us information about the 6 main currencies, in this case, we refer to the euro, dollar, The pound, the yen, the Swiss franc, and the Canadian dollar. Of course, the data you provide us will be related to the pairs that make up all these currencies. Although we can also find systems that offer us information about other minorities, but as we have said, at a minimum, we must know these 6.
»Trading tools to operate better
Likewise, signal providers must also provide us with a large number of tools so that we can learn more about the Forex market.
We refer, for example, to technical analysis above all, which will help us to develop our own strategies to be able to operate in this market.
These analyzes are always prepared by professionals and study, mainly, the assets that we have available to invest.
»Different Forex signals reception channels
They must also make available to us different ways through which they will send us the Forex signals, the usual thing is that we can acquire them through the platform's website, or by a text message and even through our email. In addition, it is recommended that the signal system we choose sends us a large number of alerts throughout the day, in order to have a wide range of possibilities.
»Free account and customer service
Other aspects that we must take into account to choose a good signal provider is whether we have the option of receiving, for a limited time, alerts for free or the profitability of the signals they emit to us. Similarly, a final aspect that we must emphasize is that a good signal system must also have excellent customer service, which is available to us 24 hours a day and that we can contact them at through an email, a phone number, or a live chat, for greater immediacy. Well, having said all this, in our last section we are going to tell you which are the best services currently on the market. That is, the most suitable Forex signal platforms to be able to work with them and carry out good operations. In this case, we will talk about ForexPro Signals, 365 Signals and Binary Signals.
Forex Signals Reddit: conclusion
To be able to invest properly in the Forex market, it is convenient that we get a signal system that provides us with all the necessary information about this market. It must be remembered that Forex is a very volatile market and therefore, many movements tend to occur quickly. Asset prices can change in a matter of seconds, hence the importance of having a system that helps us analyze the market and thus know, what is the right time for us to start operating. Therefore, although there are currently many signal systems that can offer us good services, the three that we have mentioned above are the ones that are best valued by users, which is why they are the best signal providers that we can choose to carry out. our investments. Most of these alerts are quite profitable and in addition, these systems usually emit a large number of signals per day with full guarantees. For all this, SignalsForexPro, Signals365, or SignalsBinary are presented as fundamental tools so that we can obtain a greater number of benefits when we carry out our operations in the currency market.
CMV: Proportional Representation (PR) is the Superior System
It is more fair
I was inspired by the American elections on this one. That's because hearing Trump complain about election fraud seems rich considering he would not have come close to beating Hilary or Biden in the last two elections without the Electoral College system (in both instances he lost the popular vote). Of course, the Electoral College system is law, so gerrymandering cannot legally be "fraud" but come on - if a candidate wins the popular vote they should, morally speaking, win the presidency. The Electoral College system is even worse than British First Past the Post (FPTP) it seems, as a party that wins the Electoral Colleges still does not necessarily have control over the senate.
It reflects the voting majority better
Here in UK recently we had an election where the Prime Minister won an 80 seat majority the size of which he would never have gotten with proportional representation. While Johnson would have always stayed on as PM, he would not have had a "democratic" mandate to push through the policies he wants to: a hard Brexit, Americanising the Supreme Court, questionable Civil Service reforms (Cummings) and the Internal Markets Bill to name a few. That's because a stronger Opposition under PR would have opposed a lot of this.
You get more local representatives that may reflect your point of view
I have heard it said that FPTP returns you a constituent politician that can dedicate themselves to representing local issues. But with PR there may be several local representatives in population dense areas that reflect different political perspectives. So if you have an issue you think a socialist would understand better you can contact them, or if it was a conservative or a liberal you wanted to talk to, you'd be more likely to have those options as well. Obviously in some communities, you might find there wasn't as broad an array of representatives. However you'd have a better shot at that under PR as well as a wider choice of representatives to talk to even if they are from the same party.
It is just as "stable", if not more so
First, I disagree with the premise that opponents to PR subscribe to that a constitution is stable if it does not require a coalition government and government can more easily enact policies in accordance with their voting base (and get those through parliament). Firstly, "more stuff done" is not better: quality, not quantity. When we had a minority conservative government before 2019 I actually thought parliament were doing a good job of scrutinising and making amendments to Brexit legislation so that the country could come to a positive consensus on what would be a stable result. Being able to rush stuff through parliament just leads to chaotic mistakes like the Iraq war, where Blair was able to rush a decision to go to war even though the decision was very popular among the public at large. Would he have been able to do this under a proportionally representative parliament? Also would Cummings have as much sway in bullying his vision for the country if parliament was proportionally representative? Neither of these seem likely. The other objection related to the point about is that FPTP means the largest group can get their voice heard whereas with a coalition government the negotiations result in a compromise that represent no particular group. But actually PR just treats what the majority want a lot differently. For example if 40% of people want a No Deal Brexit but 60% of people are divided between Remain and Soft Brexit, sure the largest minority group wants a hard break from the EU. But it would seem that the majority of people (60%) would prefer to at least remain in a customs union with Europe. So FPTP has a twisted idea of what it means to represent the majority. The idea that it would be less stable and more democratic to force a vision through parliament that most people don't want because ideology exists as a spectrum rather than a binary categorisation seems perverse. If a National Unity Government was strong enough - necessary in fact - to face Hitler, it seems that coalition governments should be able to fare well enough during times of lesser crisis.
It won't particularly lead to racist parties forming, or it might but it is not that substantial
So, with the vote split between two large parties partially "left" or "right to the Overton window people will generally vote for centrist governments, or centre-right if you consider UK and America are to the right of most other countries. This doesn't really give much breathing space for racist parties in general as racist parties tend to have radical ideologies that deviate far from the centre-ground. But with proportional representation, people no longer consider voting for a party that deviates too far from centre a "wasted vote" since those parties now have a legitimate shot to either get into power, or simply to veto government. Whereas before, they would be stealing votes from a mainstream party closest too them, enabling the party you hate most to get in, now that doesn't matter because your favourite party can form a coalition with the enemy of your friend (whether in power or opposition). Or they can form a coalition with your enemy, softening the blows and impacts of that party's policy making. This can lead to authoritarian and racist parties forming, some say. But the thing is firstly, racist parties can get in power even with FPTP. For example, when the Reformed National Party won most of the seats in the 1948 FPTP election leading to apartheid South Africa (1). The Nazi Party had actually arrested all of the Communist deputies and changed the rules to make it easier to pass the Enabling Act in 1933 (1), thus making the system less proportionally representative. Meanwhile, Karl Popper has this to say about tolerating (or not tolerating) intolerance in modern democracies:
Unlimited tolerance must lead to the disappearance of tolerance. If we extend unlimited tolerance even to those who are intolerant, if we are not prepared to defend a tolerant society against the onslaught of the intolerant, then the tolerant will be destroyed, and tolerance with them.
More relevantly to my argument, he says:
as long as we can counter them by rational argument and keep them in check by public opinion, suppression would certainly be unwise.
I extend an interpretation of this (my words, not Popper's) to mean that it could be prudent, even on a political level to occasionally hand the racists a platform so that we can debate and repudiate their ideas. Whereas complete suppression can occasionally lend credence to the idea that a person's logic is "irrefutable" and that is why their expression has been muted. Letting the racist party's a small portion of politic representation to refute their ideas can quash such a notion. And besides, we can defeat racist parties through legal mechanisms to defeat or obstruct them when their policies become too extreme. For example, the British National Party (BNP) "gained all the borough council seats in parts of Burnley despite getting nowhere near a majority of the vote" (1). However, the BNP were also obstructed by legal democratic mechanisms when a court ruled the party was legally required to allow ethnic minorities membership in the party, thus morphing the whole focus. Popper sort of makes a similar argument to this as well though neither of us have outright claimed racist or anti-democratic authoritarian parties should be banned entirely:
[W]e should claim the right to suppress [those who are intolerant] if necessary even by force; for it may easily turn out that they are not prepared to meet us on the level of rational argument, but begin by denouncing all argument; they may forbid their followers to listen to rational argument, because it is deceptive, and teach them to answer arguments by the use of their fists or pistols. We should therefore claim, in the name of tolerance, the right not to tolerate the intolerant. We should claim that any movement preaching intolerance places itself outside the law, and we should consider incitement to intolerance and persecution as criminal, in the same way as we should consider incitement to murder, or to kidnapping, or to the revival of the slave trade, as criminal.
I'm not saying that there is no threat from racist parties under PR as quite a few European proportionally representative democracies have them. I am just saying that the threat is firstly exaggerated and secondly we are not exactly protected from them by FPTP either. Could you imagine how bad it would be if a country were facing the same instability, economic depression and racial divisions as a country like Germany during the Weimar Republic but instead of a PR democracy, a racist anti-democratic government were able to gerrymander constituencies to their benefit through FPTP? (1) ___________________________________________
(1) Electoral Reform Website: "Did Proportional Representation put the Nazis in power?"
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