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

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

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

Winding and Unwinding

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

NOPE and Earnings

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

NOPE and NOPE_MAD

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

Using the NOPE to predict ER

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

Caveats/Read This

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

Going to keep this simple. EDIT: this isn’t simple and I should write a short story on this.
I am generally risk averse. I hate losing $100 at the casino, I hate paying extra for guac at chipotles, I will return something or price match an item for a few dollars of savings. I am generally frugal.
But, I somehow had no issues losing 10k in options...
How I started
I remember my first trades like they were yesterday. I was trading the first hydrogen run-up in 2014 (FCEL, BLDP, PLUG) and made a few hundred dollars over a couple weeks.
I quickly progressed to penny stocks / biotech binary events and general stock market gambling mid-2014. I was making a few % here and there but the trend was down in total account value. I was the king of buying the peak in run-ups. I managed to make it out of 2014 close to break-even to slightly down.
WSB Era
March 2015 was my first option trade. It was an AXP - American Express - monthly option trade. I saw one of the regular option traders/services post a block of 10,000 calls that had been bought for 1.3 and I followed the trade with 10 call options for a total of $1300.
I woke up the next day to an analyst upgrade on AXP and was up 50% on my position. I was addicted! I day-dreamed for days about my AXP over night success. I think around that time there was some sort of Buffet buyout of Heinz and an option trade that was up a ridiculous amount of %%%. I wanted to hit it BIG.
I came up with the idea that all I needed to reach my goal was a few 100% over night gains/ 1k>2k>4k>8k> etc. I convinced myself that I would have no problems being patient for the exact criteria that I had set and worked on some other trades.
Remember, the first win is always free.
I was trading options pretty regularly from March 2015 until August 2016. During my best week I was up 20k and could feel the milli within reach. I can remember the exact option trade (HTZ) and I was trading weeklies on it.
For those who have been in the market long enough, you will remember the huge drawdown of August 2015.
I lost half my account value on QCOM calls (100 of them) that I followed at the beginning of July and never materialized. I watched them eventually go to 0. It was another 10,000 block that was probably a hedge or sold.
In August 2015 there were some issues with China and all of us woke up to stocks gapping down huge. Unfortunately my idea of buying far dated calls during the following days/weeks after the crash went sideways. I quickly learned that an increase in volatility causes a rise in option prices and I was paying a premium for calls that were going to lose value very quickly (the infamous IV crush).
I kept trading options into the end of 2015 and managed to maintain my account value positive but the trading fees for the year amounted to $30,000+. My broker was loving it.
I tried all the services, all the strategies. I created rules for my option plays: 1. No earnings 2. Only follow the big buys at a discount (10,000 blocks or more). 3. No weekly options 4. Take profit right away 5. Take losses quickly 6. etc.
I had a whole note book of option plays that I was writing down and following. I was paying for option services that all of you know about - remember, they make money on the services and not trading.
I even figured out a loop-hole with my broker: if I didn’t have enough money in my account, I could change my ask price to .01 and then change it to market buy and I would only need to accept a warning ⚠️ for the order to go through. I was able to day trade the option and make money, who cares if I didnt have enough? After a few months of this, I got a call from my broker that told me to stop and that I would be suspended if I continued with this.
By the way, I was always able to satisfy the debit on the account - so it wasn’t an issue of lack of funds.
Lost it all. Started taking money from lines of credits, every penny that I earned and losing it quicker and quicker.
I was a full on gambler but I was convinced that 8 trades would offset all the losses. I kept getting drawn in to the idea that I could hit a homerun and make it out a hero.
I eventually hit rock bottom on some weekly expiring FSLR options that I bought hours before expiration and said to myself - what the f are you doing? I resolved to invest for the long term and stop throwing tendies away.
The feeling was reinforced during the birth of my first born and I thought - what a loser this kid will think of me if he knew how much I was gambling and wasting my life. It was a really powerful moment looking at my kid and reflecting on this idea.
I decided at that point I was going to save every penny I had and invest it on new issues with potential.
Fall 2016
TTD, COUP and NTNX IPO ‘ed I decided I was going to throw every dollar at these and did so for the next few months. I eventually started using margin (up to 215%) and buying these for the next 6 months. They paid out and managed to make it over 100k within the year.
The first 100k was hard but once I crossed it, I never fell below this magic number.
2017 - I did some day trading but it was mostly obsessing over the above issues. I did gamble on a few options here and there but never more than 1k.
2018 - SFIX was my big winner, I bought a gap up in June 2018 and my combined account value had crossed 400k by August 2018. I was really struggling at crossing the 500k account value and experienced 3 x 30-40% drawdowns over the next 2 years before I finally crossed the 500k barrier and have never looked back.
I still made some mistakes over the next few months - AKAO & GSUM come to mind. Both of these resulted in 20k+ losses. Fortunately my winners were much bigger than my losers.
I thought about giving up and moving to index funds - but i was doing well - just experiencing large drawdowns because of leverage.
2019 big winners were CRON SWAV STNE.
2017 / 2018 / 2019 all had six digit capital gains on my tax returns.
At the beginning of 2020 I was still day trading on margin (180-220%) and got a call from my broker that they were tightening up my margin as my account was analyzed by the risk department and deemed too risky. Believe it or not this was right before the covid crash. I brought my margin down to 100-110% of account value and even though the drawdown from covid hit hard, I wasn’t wiped out.
I stayed the course and bought FSLY / RH during the big march drawdown and this resulted in some nice gains over the next few months.
I am constantly changing and testing my investment strategy but let me tell you that obsessing over 1 or 2 ideas and throwing every penny at it and holding for a few years is the best strategy. It may not work at some point but right now it does.
I still day trade but I trade with 10k or less on each individual position. It allows me minimize my losses and my winners are 1-7%. I am able to consistently make between 3-700$/ a day on day trades using the above strategy. I still take losses and still dream about hitting it big with an option trade but dont feel the need to put it all on the line every month / week.
I finally crossed into the two , club. I know people are going to ask for proof or ban but I am not earning anything for posting and the details about some of the trades should be proof enough that I kept a detailed journal of it all. I have way more to write but these are the highlights.
Eventually I will share how I build a position in a story I love. I still sell buy and sell to early but I am working on improving.
TL:DR - I gambled, lost it all and gambled some more lost more. I made it out alive. I have only sold calls/puts lately.
The one common denominator in all successful people is how much they obsess over 1 or 2 ideas. Do the same. All the winners on this sub have gone all in on one idea (FSLY / TSLA ). Stick with new stories or ones that are changing and go all in...wait a second, I didnt learn anything.
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AMZN Trade Retrospective: Collecting a $.37 Credit for the Potential to Make Another $50

AMZN Trade Retrospective: Collecting a $.37 Credit for the Potential to Make Another $50
There are different ways to trade in a choppy environment. Here’s a deep dive on how I attempted to use weekly options to trade a potential bounce in AMZN, and collected $.37 initially, for the possibility of making $50 more, even though the trade ended up being only an $.81 winner.

The Entry

Last Thursday, 9/24, when $AMZN was trading at about $3000 a share, I was looking for a cheap way to play a bounce in the stock. During that time, my bias in the markets had begun to shift to a more bullish stance after seeing how the market had difficulty grinding lower. With that in mind, I wanted to play a potential bounce in tech. But I knew I didn’t want to pay a debit at all to play for a bounce that might not even happen, given how uncertain and choppy the markets had been, but I still wanted to set myself up to capture some large gains if AMZN did indeed bounce. Therefore, the strategy that made the most sense to me, was a Call broken wing butterfly.
Given that I’m a very short-term options trader who loves trading weeklies, I was trying to look for a cheap butterfly for the upcoming week that I could put on for a net credit. After exploring the options chain, I came across the +1/-2/+1 3300/3350/3450 call broken wing butterfly for the Oct 2 series. This fly, at the time (on Sept 24), was trading for a total of $.37 credit. Meaning, by putting on that butterfly, I would get paid $.37, and the following scenarios could happen:
  1. If AMZN decided to tank or hang out sideways and never get up close enough to the butterfly to expand the spread in my favor, then I’d walk away pocketing the $.37 credit
  2. If AMZN slowly crept up to reach exactly 3350 by expiration, I’d not only get to keep the credit, but also be able to sell the butterfly back out for $50. Of course, it doesn’t need to reach exactly 3350 by expiration. If AMZN slowly worked its way up to near 3300, then the butterfly would expand very nicely as well.
  3. If AMZN blew past 3400 by expiration, I’d see a loss, up to a maximum of $50 / spread (if $AMZN moves past 3450). That’s because the 3300/3350 long call vertical of the fly provides 50 points of coverage before I essentially start losing money from the 3350/3450 short vertical, up until that 3450 kicks in to cap off further upside losses.
So that is a rough outline of the potential scenarios that would happen with this trade.
Given the choppy market conditions, I was ok with risking $50/spread (point #3), in order to not lose money if I’m wrong on direction (point #1), while at the same time, keeping myself open to the possibility of the butterfly expanding in my favor (point #2) for some potentially very large gains.
But satisfying point #3 is tricky. I needed more data points suggesting that $AMZN wouldn’t surge higher early on in the trade. Because if $AMZN did surge higher early on in the trade, then while the 3300 long call would rise in value, those two 3350 short calls would also rise in value, and because there’d still be some time value left, they could be very juiced up and eat away at the profits of that 3300 long call, so much so that the 3450 long call won’t even be able to offset those losses, especially given how far out of the money that 3450 call is.

AMZN on 9/24, daily timeframe
Looking at the chart above on 9/24, we can see that AMZN was trading at around $3000/share. In order to reach $3300 (where the first long call of the broken wing butterfly is), the stock would need to
  1. Breach the 38% fib retracement (~AMZN=3131) of the move from the 9/2 high to the 9/21 low,
  2. Breach the 20MA and 50MA
  3. Breach the 50% fib retracement (~AMZN=3211)
  4. Breach the 61.8% fib retracement (~AMZN=3292)
before finally reaching the 3300 long call. All of these levels, I felt, should provide some resistance for AMZN to have to chew thru over the following week, before it even gets to the long call. And by that time, if AMZN did reach 3300, then the 3300 long call would still have a lot of extrinsic value left (somewhere around $20 on the last day), while the 3350 short calls would be very cheap (each around $5), so the entire spread could be roughly worth $10. Which would be great, because that means I’d be getting paid $.37 to make another $10.
So with all of the above considered, I chose to take on that upside risk, for a chance to make potentially $50 (realistically I try to aim for just half of the max profit: $25, and start harvesting profits and peeling off the flies at around $5-$10), and that day on 9/24, entered the Oct2 3300/3350/3450 call broken wing butterfly for a $.37 credit.
After entry, on Friday 9/25 and Monday 9/28, AMZN made steady progress upwards, from 3000 to 3175, breaching the 31.8% retracement and tagging the 20MA and 50MA from below.

AMZN on 9/28, daily timeframe
but this move wasn’t large and fast enough to expand the value of the 3350 short calls. In fact, theta did a great job draining those short calls, while the 3300 long call did a good job retaining its premium, so the butterfly had already expanded a bit in my favor, and I was sitting at about a small $1.00 profit.

The Adjustment

However, on Tuesday and Wednesday, AMZN began to stall out. By the end of Wednesday 9/30, when it looked like AMZN was putting in a topping tail, I decided that AMZN might not be able to make it near 3300 by expiration Friday, so I wanted to take in a bit more credit while I still could, before theta drained more of that 3300 long call. At the time, the spread was trading for almost $2.
That’s when I made a slight adjustment to the spread and sold the 3300/3310 call vertical.

AMZN on 9/30, daily timeframe
This essentially rolled the 3300 long call up to 3310, and I was able to collect a small $.44 credit for it. However, this adjustment did open me up to an additional $10 of risk to the upside, because now, the long call vertical portion of the butterfly is only $40 wide (instead of $50). Still, with only 2 days left for AMZN to go higher, I felt comfortable taking on a bit more upside risk knowing that theta is going to be working hard to drain those 3350 short calls if AMZN did decide to surge higher. And at that moment, I actually wanted AMZN to move more towards my fly. My deltas were still positive, and the risk graph showed that a move towards the short strikes of the fly would expand it by another $4-5 by Thursday.
So after this adjustment, the trade stood at a $.81 credit, and the profit potential on the fly was now $40 instead of $50. Which is still pretty good.

The Tease

On Thursday, AMZN showed some strength and closed above the 50% fib (3211), which meant that if on Friday, AMZN worked its way up to around 3300, the fly could potentially be worth $5-10. Things were looking good (on any continued bullishness, the next target for AMZN was the 61.8% fib retracement at ~3300). So I left the trade alone without making any more adjustments.

AMZN on 10/1, daily timeframe

The Flop

Unfortunately, on Thursday night, news broke out that Trump was diagnosed with Coronavirus, and the market fell lower. By the open, AMZN was already trading at around 3150, roughly 150 points below the fly. The spread had instantly lost all of its value, so I basically let it expire worthless and walked away pocketing the $.81 credit.

https://preview.redd.it/mpwrkjpk6xq51.png?width=4096&format=png&auto=webp&s=8dd7f4da7b000b2266ab57a3c23c1863f9423704
While the trade did not work out as well as I had liked, the important thing to note is that I was able to get paid even when the trade didn’t go in my favor. With options, there are ways to trade an underlying to a certain target without ponying up a debit, albeit at the cost of introducing tail risk, while offering the possibility of very large upside. This may be a style of trading that one can consider employing when the outlook of the markets is uncertain, as long as the trader is willing to make the necessary adjustments to control risk.
Which leads me to the following section:

FAQ

What if AMZN decided to surge very early on during the trade? What if AMZN had surged to 3300 with 4-5 DTE, hence juicing up the short calls and causing the butterfly to take on large negative deltas?
Even though the position would be very theta positive, I would pony up the debit to cap off the upside risk by buying the 3400/3450 call vertical, hence turning the 3300/3350/3450 broken wing butterfly into the 3300/3350/3400 balanced butterfly. From there on out until expiration, I would look for ways to reduce the debit incurred from that adjustment.

But what if AMZN tanked afterwards? You could end up getting whipsawed.
I’d rather be safe than sorry and make the necessary adjustments to avoid getting run over, because I don’t like playing the hope card. I could always undo the adjustment and look for ways to collect back more credit (at the cost of introducing risk elsewhere), depending on my new directional bias on AMZN at the time.

Your maximum loss is so large, $5000. I’d never make that bet, I would never risk $5000 to make $5000.
This style of trading is not for everyone. There are different ways to perceive risk. I don't really think of risk as binary as “max gain vs max loss”. If the trade goes against me, I’m not going to open myself up to the possibility of eating the maximum loss. I’m going to manage that risk and make sure that I don’t lose any money at all on the trade. Basically, I’m not going to just put on the trade, walk away to the prayer room, and come back at expiration and hope that AMZN expired at 3350.

Why not just join thetagang and slap on iron condors / credit spreads in this environment? You could’ve collected more credit by selling a 50 point wide put vertical with your bounce thesis.
Different traders have different styles. I personally don’t like pure premium selling strategies. I’d rather have long options in front of the shorts to open myself up for some large upside and convexity in the P/L curve, rather than limit myself to the concavity of pure premium selling strategies. Having long options in front of the shorts also helps me sleep better at night.

It’s hard to read this. Is there a more visual explanation?
Here’s a video on it: https://www.youtube.com/watch?v=8uq76fZ3EME

TL;DR - I used weekly options to trade a potential bounce in AMZN, and got paid $.37 initially to do so, for the possibility of making $50 more. While the trade did not pan out, I walked away pocketing $.81 for being wrong.
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Earning on stocks, stock indices and fiat currencies through a blockchain

Earning on stocks, stock indices and fiat currencies through a blockchain
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https://preview.redd.it/q6y3yepyiuv51.png?width=1200&format=png&auto=webp&s=9fb9cb56c21cad4e44f9425cb60e3efc52e6bb05
submitted by VS_community to BaexExchange [link] [comments]

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:

(CLICK HERE FOR THE FULL S&P TREE MAP FOR THE PAST WEEK!)

Major Indices for this past week:

(CLICK HERE FOR THE MAJOR INDICES FOR THE PAST WEEK!)

Major Futures Markets as of Friday's close:

(CLICK HERE FOR THE MAJOR FUTURES INDICES AS OF FRIDAY!)

Economic Calendar for the Week Ahead:

(CLICK HERE FOR THE FULL ECONOMIC CALENDAR FOR THE WEEK AHEAD!)

Percentage Changes for the Major Indices, WTD, MTD, QTD, YTD as of Friday's close:

(CLICK HERE FOR THE CHART!)

S&P Sectors for the Past Week:

(CLICK HERE FOR THE CHART!)

Major Indices Pullback/Correction Levels as of Friday's close:

(CLICK HERE FOR THE CHART!

Major Indices Rally Levels as of Friday's close:

(CLICK HERE FOR THE CHART!)

Most Anticipated Earnings Releases for this week:

(CLICK HERE FOR THE CHART!)

Here are the upcoming IPO's for this week:

(CLICK HERE FOR THE CHART!)

Friday's Stock Analyst Upgrades & Downgrades:

(CLICK HERE FOR THE CHART LINK #1!)
(CLICK HERE FOR THE CHART LINK #2!)

4 Charts That Will Amaze You

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:
(CLICK HERE FOR THE CHART!)
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.
(CLICK HERE FOR THE CHART!)
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.
(CLICK HERE FOR THE CHART!)
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.
(CLICK HERE FOR THE CHART!)
“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.
(CLICK HERE FOR THE CHART!)
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.
(CLICK HERE FOR THE CHART!)
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.
(CLICK HERE FOR THE CHART!)

Retail Sales Rock to New Highs

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!
(CLICK HERE FOR THE CHART!)
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.
(CLICK HERE FOR THE CHART!)
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%!
(CLICK HERE FOR THE CHART!)

B.I.G. Tips - New Highs In Sight

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.
(CLICK HERE FOR THE CHART!)
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

([CLICK HERE FOR THE YOUTUBE VIDEO!]())
(VIDEO NOT YET POSTED!)

STOCK MARKET VIDEO: ShadowTrader Video Weekly 8.16.20

([CLICK HERE FOR THE YOUTUBE VIDEO!]())
(VIDEO NOT YET POSTED!)
Here are the most notable companies (tickers) reporting earnings in this upcoming trading week ahead-
  • NOTABLE TICKERS REMOVED DUE TO STOCKS AUTO MOD
(CLICK HERE FOR NEXT WEEK'S MOST NOTABLE EARNINGS RELEASES!)
(CLICK HERE FOR NEXT WEEK'S HIGHEST VOLATILITY EARNINGS RELEASES!)
Below are some of the notable companies coming out with earnings releases this upcoming trading week ahead which includes the date/time of release & consensus estimates courtesy of Earnings Whispers:

Monday 8.17.20 Before Market Open:

(CLICK HERE FOR MONDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Monday 8.17.20 After Market Close:

(CLICK HERE FOR MONDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!)

Tuesday 8.18.20 Before Market Open:

(CLICK HERE FOR TUESDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Tuesday 8.18.20 After Market Close:

(CLICK HERE FOR TUESDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!)

Wednesday 8.19.20 Before Market Open:

(CLICK HERE FOR WEDNESDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Wednesday 8.19.20 After Market Close:

(CLICK HERE FOR WEDNESDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!)

Thursday 8.20.20 Before Market Open:

(CLICK HERE FOR THURSDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Thursday 8.20.20 After Market Close:

(CLICK HERE FOR THURSDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!)

Friday 8.21.20 Before Market Open:

(CLICK HERE FOR FRIDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Friday 8.21.20 After Market Close:

([CLICK HERE FOR FRIDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!]())
(NONE)

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.

(CLICK HERE FOR THE CHART!)

NVIDIA Corp. $462.56

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.

(CLICK HERE FOR THE CHART!)

Alibaba Group Holding Ltd. $253.97

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.

(CLICK HERE FOR THE CHART!)

JD.com, Inc. $62.06

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.

(CLICK HERE FOR THE CHART!)

Home Depot, Inc. $280.55

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.

(CLICK HERE FOR THE CHART!)

Lowe's Companies, Inc. $154.34

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.

(CLICK HERE FOR THE CHART!)

Target Corp. $136.53

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.

(CLICK HERE FOR THE CHART!)

Sea Limited $126.50

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.

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Niu Technologies $20.82

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.

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BJ's Wholesale Club, Inc. $41.48

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.

(CLICK HERE FOR THE CHART!)

DISCUSS!

What are you all watching for in this upcoming trading week?
I hope you all have a wonderful weekend and a great trading week ahead stocks.
submitted by bigbear0083 to stocks [link] [comments]

How profitable is binary options trading?

How profitable is binary options trading?
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.
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https://preview.redd.it/s1ru2p9h8gv51.png?width=1200&format=png&auto=webp&s=df3b9970c18848f3629f1b4260bea3ae14ed00a5
submitted by VS_community to BaexExchange [link] [comments]

Sympathy for the Drow - De-Vilifying the Dark Elves

The "Evil" races in DnD have always rubbed me kinda the wrong way. Partly once I learned that a lot of them come from racist stereotypes (Orcs, Drow, and Goblins in particular) and also just because it doesn't make sense to me. Even Nazi Germany had variation and dissenters and it only lasted for 12 years. Why would a clearly evil society never change over hundreds of years? In my opinion, a story is only as good as it's villains. So, I've set out to try and make the traditionally evil races slightly more believable and even sympathetic in places.
Now, I've not been a DM very long, only like three years. But the first campaign I ever ran was through Curse of Strahd which paints the Vistani (an itinerant society heavily based on the real world Romani) as a conniving group of thieves, murders, and vampire-worshipers. Thankfully, I found through reddit and other sites how to steer away from the racists depictions of the Vistani and making them seem like, at worst, opportunists. So, I hope to be able to do that with some other of the classic DnD antagonist races.
I've read some other phenomenal post on here about evil races that totally inspired me as well. There's a great two part post about Decolonizing D&D which I adore. The post about alignment is easily my favorite. There's a couple great ones on Orcs and Yuan-Ti too so if some of my ideas are lifted from them, I hope y'all consider it flattery instead of theft. So, here are some primer notes before I get into it.
For creating the Dark Elves, I tried to keep as much as I could from the books. Obviously some stuff has to get thrown out the window though. I also tried to standardize calling them Dark Elves instead of Drow partly because I feel like Drow has a much nastier sound to it and calling them Dark Elves follows the naming convention with the High and Wood Elves. I tried to model them after real-life matriarchal societies like the Mosuo people of China and their pantheon after real deities like the Greeks, Romans, and Norse. I also quickly realized that building a society is inseparable from geography. Where a people are from effects their language, values, mythology, history, and family structure. I've tried to outline details I think are necessary to making this society realistic while leaving it open ended enough to be place-able in different worlds with relative ease. All that aside, lets get into the meat of it.

The Dark Elves: Elven Outcasts

The Elves are a varied and magical people that come from many planes and many environments within them. But none are met with more distrust and fear than the Dark Elves. Easily set apart from their cousins by their charcoal or pitch-black skin, pink-red eyes, hair of grays and whites, and shorter stature, these people have earned a reputation as killers, thieves, demon worshipers, and liars. But history is a cruel mistress, something the Dark Elves know better than most.

The Divine Divide

As the legends go, when the world was still young, Corellon Larethian lived on the Plane of Arvandor with his fellow Primal Elves. They were wild and mutable, emotional and free in all things. They changed shapes at will, gave and took freely to and from the world, and never stayed in any location too long. They wandered to and fro, scattering their peoples across almost every plane. However, this unbridled freedom was not without a price. Arguments, feuds, and small scale wars were incredibly common between them. Some elves would find themselves stranded on far off planes after most of their companions impulsively decided to leave. Their self serving impulses drove them to often completely disregard the needs or wants of others if they went against their own desires. And their reckless revelry was wreaking havoc on the natural world with Elven parties decimating whole planes of edible plants, wild game, and drinkable water.
One such Primal Elf began to see the destruction of their ways and talked to other elves about their actions. Slowly, this Elf by the name of Lolth amassed a small following of devotees that saw the negative ramifications of their inconsiderate freedom. Lolth and her followers agreed to take on fixed forms to show recognition of the dangers that impulsivity could bring. Lolth led this small group of devotees to Corellon to ask for his support. Now, Corellon did not lead these Primal Elves: he was just as wild as the best of them and did not take kindly to others telling him what to do. But he was the First Elf ever born and was universally respected amongst the Primal Elves and if Lolth could convince him, others would surely follow. Corellon listened to her proposition and agreed that they should change to prevent more destruction and conflict, but refused to order his kinsfolk into any action. He was an Elf, same as all of them, and he wouldn’t dare order around his family. He balked when Lolth asked him to take a concrete form as a show of solidarity and brushed her off as a killjoy.
Lolth was unsatisfied with this outcome and her following set out to convince each Elf to change their ways to preserve the beauty of the worlds. However, without the support of Corellon, many elves refused her offer. Her anger grew with each failure and her opinion of Corellon turned sour, something she made no attempt to hide from her Elven siblings. Now, Corellon is a proud god and once he caught wind that Lolth was bad mouthing him in an attempt to win over others, he became enraged. He railed against Lolth calling her a snake-tongued thief and Lolth called him incompetent and cruel. Their tempers flared and all the elves chose sides between Corellon’s freedom and Lolth’s stability. During this great debate, the Primal Elves turned to violence. The Dark Elves maintain that Corellon’s side threw the first blow, while the High Elves claim that it came from Lolth’s side.
No matter the source, this violent outburst soured relations between Lolth and Corellon forever after. He cast her and her followers out of Arvandor and barred her from ever returning. He also cast all but his most trusted kin from Arvandor, forcing them all to live lives on other worlds out of fear of another perceived insurrection. Thus, the Seldarine remain in Arvandor to judge the souls of Corellon’s faithful when they die and Lolth takes refuge in Arcadia with her pantheon where she minds the souls of the Drow. Corellon’s faithful call her pantheon the Dark Seldarine, while her faithful call it the Myrkalfar.

Myrkalfar: The Spider Mother’s House

Lolth the Spider Queen is the unquestioned head of the Myrkalfar, with all other deities seen as her divine family. Lolth is considered at times to be fickle or even cruel, but her ire is never gained without good reason. A very involved deity, her followers constantly search for signs of her favor or scorn in everyday life. When a Dark Elf contemplates a risky or controversial decision, they consult priestesses or perform their own rites which often gives them direct and succinct answers. She serves as an example to matriarchs of Drow families as demanding yet understanding, punishing yet guiding. She asks for a lot of her priestesses, demanding they be an unflinching example of everything a strong leader should be. The Myrkalfar is often presented as a divine household, with Lolth as the matron.
Keptolo is the consort of Lolth and considered to be the ideal of what a male should be. Beautiful and kind, strong and hard working, he helps Lolth in everything she does. Sometimes he serves as a messenger, other times as an agent of redemption, sometimes as a divine healer. When a Dark Elf is tasked with a divine charge, he is usually the one to deliver the message and guide them through their charge. He serves also as a fertility deity and is often worshiped by women or men seeking a child. Outsiders see him as a weak and subservient husband to Lolth, but his faithfulness to his matron is considered a virtue and his status as a “husband” is relatively alien to the Dark Elves as they have no binding marriage in their society.
If Keptolo is the agent of Lolth’s mercy, Kiaransalee is the agent of her vengeance. She is the eldest daughter of Lolth and Keptolo and one that Dark Elves pray to when they feel wronged. Only the most binding and serious contracts are signed under her name. To break an oath made under her name is sure to bring destruction. She is also the governor of the dead, judging the souls of those passed in the afterlife. She opposes the mindless undead created by mortals, but spirits and revenants that return to finish unresolved business amongst the living are considered under her protection. Should a Dark Elf encounter a returned spirit that is seeking vengeance, it’s their duty to leave them on their way and pray that the spirit isn’t there for them. This reverence of certain undead is something many outsiders consider downright evil.
Selvetarm is the Dark Elven warrior goddess and youngest daughter of Lolth. Often depicted with eight arms, she represents the pinnacle of hand to hand martial prowess, but often is without restraint. She serves as both an inspiration for warriors, and a warning. Vhaeraun is the eldest son of Lolth and governs ambition and stealth. Both of these traits are not necessarily vilified, but worship of him is highly scrutinized. Haughty and rash, tales of him often include deceiving his fellow gods for good and ill and more often than not are cautionary ones. He’s depicted as wearing a mask, either as some punishment for endangering Lolth and her family or to hide his identity for various schemes, possibly both.
Malyk is Lolth’s youngest son and a youthful deity of change and growth. He’s often seen as a bouncing young boy that Lolth and her family have to reign in from wild misadventures. His freedom and curiosity is often seen as a double edged sword, both gaining him great riches but also putting him in tremendous peril. He has strong ties to sorcerers and when a child is born with innate magical talent, he is often the one thanked for it. He serves as an outlet for a Dark Elves youthful chaotic nature, but also warns them of the ramifications of their actions.
Ghaunadur is a strange figure in the pantheon. Their place in the family is a bit of a mystery, sometimes called the sibling of Lolth, or her child, or even as Lolth’s parent. What makes them truly unique is that they are a formless deity, something that Lolth once warred with Corellon over. The legends go that when Ghaunadur joined Lolth, they refused to give up their changeable nature. When questioned, Ghaunadur pointed to the slimes, oozes, and formless creatures of the world and said that they wished to protect them from the Elves and the Elves from them. Lolth agreed, cementing their position as the deity of the changing forms of nature. Their favored creature is the ooze, but they govern all natural creatures. Dark Elves often pray to Ghaunadur to protect them from the creatures that lurk in the depths of the forest.
Zinzerena is Lolth’s sister and is the goddess of poisons, illusions, and magic. Viewed as an elderly and patient figure, she often serves as council to Lolth in desperate times. She’s said to be the mother of all poisons and venoms and her teachings are all about finding the wisest solution to a problem. Zinzerena teaches that even though the spider is small, it’s bite can still fell a panther. Despite her perceived age, she’s considered the younger sister of Lolth and is thought to be incredibly quick and nimble: a reminder that not everything is as it seems.
Eilistraee is Lolth’s niece and daughter of Zinzerena. Considered the black sheep of the pantheon, she serves as a goddess of redemption and moonlight. Dark Elves that turn their back on their family or scorn traditions will sometimes find themselves turned to Driders, half-spider half-Dark Elf creatures shunned by all. Eilistraee is said to watch over these creatures and if they are repentant, offer them challenges that they could complete to redeem themselves. Lolth often views her with contempt or mistrust, but never hates her and maintains her place in the pantheon. Dark Elven faithful rarely worship her as the others. She’s also one of the only deities of the Myrkalfar to claim no animosity toward the Seldarine and their faithful.
Spiders are the sacred animal of Lolth and are often used as an example of social order and the importance of family bonds. Each strand of silk serves the web as whole. More literally, the giant spiders of the Underdark are multifaceted and incredibly useful creatures. Serving as beasts of burden, war steeds, meat producers, household guardians, and silk producers, they are present in almost every facet of society. Their silks are used in everything from wound dressings to armor to architecture. To kill or steal another family's spider is considered akin to stealing a member of the family. Smaller and more poisonous spiders are often kept in temples and their webs are used as divining tools for priestesses.

Elven Exiles

The recorded history of the Dark Elves is full of contradictions from High Elf and Dark Elf sources. What historians can agree on is when the Elves of the Prime Material arrived, the followers of Lolth secluded from their Wood and High cousins and retreated into the Azelarien, also known as the Green Sea in Common. A massive forest, nearly 1 million square miles of dense and vibrant trees, that grows denser and darker the farther in one ventures. For countless eons, the High, Wood, and Dark Elves lived in relative harmony in their own corner of the world. High Elves lived near the forests in towns and villages, the Wood Elves lived in the lightly forested outlands of the Green Sea, and the Dark Elves lived deep in the central forests which was so dense that very little light reached the forest floor.
As time passed and their villages turned to cities, the High Elves began expanding into the forest, chopping some down to build homes and heat their furnaces. This began pushing into the territory of the Wood Elves and eventually the Dark Elves as well. These two peoples formed a shaky alliance to push back the expansive tide of the far larger High Elven armies. This alliance proved successful however and the High Elven forces began losing ground. What happened next is a matter of some debate. High Elven historians attest that the Dark Elven armies used Wood Elven soldiers as unwitting bait to lure the High Elven armies into a trap, thus causing a schism between them. Dark Elven historians state that the Wood Elven armies turned on them after the Wood Elves met in secret with High Elven leaders and bargained for their independence. Some Wood Elven historians claim that after a brutal defeat on the field, they were met by High Elven dignitaries that offered them clemency if they turned on their allies. They initially refused, but after the dignitaries threatened to make the same offer to the Dark Elves, they had no choice but to accept. No matter the cause, the histories agree that the Wood Elves turned on their erstwhile allies and helped push the Dark Elves into a rapid loss of ground.
Facing the might of the two armies with their own relatively small one, the Dark Elves were beaten into a hasty retreat into their own territory. Losing every open encounter, the Dark Elf matrons developed a new strategy of combat. The armies switched from training as many as quickly as they could, to training only a select few in multiple different forms of combat and magic. As the High and Wood Elves advanced into their territory, they quickly found their supply lines cut out from under them, their soldiers ambushed while sleeping, their scouts captured, and their leaders assassinated. And even if they would make it to a Dark Elf settlement, they would find it abandoned and booby-trapped, warned by their fast and silent scouts. If the Dark Elves couldn’t face their enemies head-on, they would weaken them with quick and decisive strikes.
Eventually, the war ground to a stalemate. The High Elves couldn’t push into the Dark Elf territory far enough to capture any cities of note without taking severe casualties and the Dark Elves were only managing to hold the invading armies back and couldn’t muster a force strong enough to push back to the enemy capital. Thus, the war cooled into a tense peace. The leaders came together to draw borders, but neither side fully forgave nor forgot one another’s actions. High and Wood Elves viewed the change in tactics by the Dark Elves as an unethical violation of the standards of war. The Dark Elves felt a particular animosity toward the Wood Elves, considering them backstabbers in their darkest hour.

Dark Elf Families: Matrons of Order

The Dark Elf society, to an outsider, looks like an oppressive and cruel society of slave traders and backstabbers. But the truth is more subtle. The Dark Elves value tradition and filial piety above almost all else. To a Dark Elven citizen, their family name is their most valuable possession and they are taught from a very young age that to look after their parents and their younger siblings is the highest virtue. Ancestors that have achieved great things often have shrines in a household alongside the gods themselves. A Dark Elf going against the will of their family is considered one of the highest taboos and often causes them to be outcast from Dark Elven society as a whole. Dark Elf society is matrilineal meaning that the eldest woman in each family is revered as the household leader and receives great respect from her family and society. This also means that the males of the society don’t inherit wealth as frequently as the females.
Dark Elven families are quite large, often with multiple generations along with aunts, uncles, and cousins living in the same household. New children almost always reside with their mother. Males of the society are expected to care not for their own biological children, but for the children born to their sisters, aunts, or nieces. This results in a striking amount of sexual freedom for both men and women, but is often viewed from the outside as promiscuity. The Dark Elves do not marry in the traditional sense, instead favoring long term partners with one another that can end at any time with no concerns to material wealth or ownership.
However, to become a member of a Dark Elf family is not entirely a matter of heritage. When a family that cannot support another child has one, they are often adopted by more well to do families and raised as one of their own. These adopted children are considered just as legitimate as if they were born into the family. Also, should a family lose all their heirs or become destitute, they often ask to become assimilated into other families for their own safety. The latter is considered a morose ceremony as the members of the smaller family forsake their surnames. To take in such a family is both an extreme honor and grim burden, as it means ending another family's line.
The borders of Dark Elven civilization only goes so far as there are trees so many newer up and coming families have expanded underground, a difficult and slow endeavor. This has put multiple houses at odds with one another for territory. However, Dark Elves do not tolerate open hostility between families as they have a very strong sense of collective identity. Dark Elves do not war against fellow Dark Elves, same as a spider does not fight its own web. This leads to many tensions and conflicts needing to be resolved in other ways. Most families will attempt a diplomatic solution, but when that isn’t an option, sabotage and coercion is the favored outlet. Murder is considered a bridge too far by most houses, but subterfuge in almost every other facet is, while not accepted, tolerated.
Legends of Lolth’s rebellion and the tension of their enclosed territory have imbued the Dark Elves with a strong sense of symbiosis with nature and conservancy. Sustainable living is the cornerstone of Dark Elf society. In the wild, no creature is killed or plant destroyed unless it’s a matter of self defense or necessary to survival.

Dark Elven Sex and Gender

As with many Elven peoples, sexuality is seen as a fluid and non-binary matter. Same sex relationships are usually seen as just as acceptable as male-female relationships. Since Dark Elves have no marriage structure, same sex life partners are common and widely accepted. Inheritance is passed along by the family as a whole, not linearly, meaning some houses may have matrons with no direct biological descendants while still serving at the elder matron. Power dynamics in relationships are still a factor, with the elder female in a gay relationship considered slightly above their partner socially and is seen as the inheritor in cases of property or genealogy. Male same sex relationships are accepted with little controversy. Since children are passed down their mothers line, the males have no social obligation to sire an heir as with other societies.
Transgender and transexual Dark Elves are met with slightly more controversy. Lolth’s rejection of the Primal Elves mutable forms is sometimes cited against transgender and transexual Dark Elves. Ghaunadur, however, is considered the patron god of these people and teaches that just as they are part of nature, they can change their forms. Many of these people join the religious order of Ghaunadur, serving in various roles both in religious ceremonies and as forest guides. Some even consider them to be blessed by Ghaunadur and are highly sought after in forays into the forests for protection. Children born to transgender Dark Elves are still expected to be a part of their eldest mother’s family or eldest father if no woman is part of the union.

Slavery Amongst the Dark Elves

While the Dark Elves do take slaves, their slavery doesn’t look the same as many other societies. When a family becomes indebted to another and they cannot pay off the debt, a member of their family, usually male, will be sent to work for the owed family. They give him room and board and are expected to care for him as if he were one of their own. He’ll work for them for an agreed upon amount of time before returning to his native family. Injury or misuse of this person is often grounds for them to leave and the debt to be nullified. Children born to servant fathers needn’t worry about inheriting their father’s status since they’re considered to be their mother’s child. On the rare occasion that a female servant has a child while in servitude, the child is returned to the mother’s family to be raised by her family while she works off the remaining debt. Some trade of servants does occur between houses, with indentured servants being traded for goods or services or even other servants of special skills, but the family of the servant reserves the right to veto such a trade for any reason.
During their frequent clashes with external armies, the Dark Elves do sometimes take prisoners of war, though very rarely are they used for slave labor. They never bring them back to major settlements, often keeping them on the outskirts of their territory to prevent them from learning critical knowledge of their territory. Most prisoners are held as bargaining chips to be traded for passage, supplies, or captured Dark Elves. Captured military leaders are sometimes brought to Dark Elven cities to be tried for their crimes against their people.

Dark Elven Government: Independent Houses

Unlike many other cultures, the Dark Elves lack a centralized government. Societal etiquette govern the standard for how certain crimes and disagreements should be handled, but each family unit acts as its own governing body. Disagreements within families are thus resolved internally. Inter-family disputes are resolved in multiple different ways. Most often, the two matrons of the family will meet and agree on terms to fairly compensate both sides. In cases when these talks deteriorate, the High Priestess of Lolth is often called to serve as the mediator and serves as the ruling body between disputes. Her rulings are final and indisputable, as she is considered the mouthpiece of Lolth’s will.
In times of crisis, historically the many houses of the Dark Elves have convened to discuss threats to all of Dark Elven society. This is uncommon as it’s difficult logistically to gather all the matrons in the same place at the same time, so often houses are represented by either the second eldest woman of the family or the eldest daughter of the matron. The High Priestess of Lolth often resides over these meetings as an arbiter in the event of split decisions or in delivering guidance from Lolth herself.

There's my take on the Dark Elves. Any comments, suggestions, questions, outrages, and critiques are welcomed. This is my first comprehensive look at a whole race so if I've missed things, I'll try and patch them up. I'd like to do similar things for Orcs, Goblinoids, Kobolds, and others so those might be seen soon. Thanks!
submitted by Lerad to DnDBehindTheScreen [link] [comments]

Forex Signals Reddit: top providers review (part 1)

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.
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What are Forex Trading Signals?

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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.
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»Purpose: predict movements to carry out Profitable Operations

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Features:
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  • 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)
  • MyFXBook verified performance
  • 10 years of investment experience
  • Target 300-400 pips per month
Pricing:
https://preview.redd.it/zjc10xx6ony51.png?width=668&format=png&auto=webp&s=9b0eac95f8b584dc0cdb62503e851d7036c0232b
VISIT 1000ipbuilder here

2. DDMarkets

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
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3. JKonFX

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.

»Trading automation

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.
submitted by kayakero to makemoneyforexreddit [link] [comments]

Everything You Always Wanted To Know About Swaps* (*But Were Afraid To Ask)

Hello, dummies
It's your old pal, Fuzzy.
As I'm sure you've all noticed, a lot of the stuff that gets posted here is - to put it delicately - fucking ridiculous. More backwards-ass shit gets posted to wallstreetbets than you'd see on a Westboro Baptist community message board. I mean, I had a look at the daily thread yesterday and..... yeesh. I know, I know. We all make like the divine Laura Dern circa 1992 on the daily and stick our hands deep into this steaming heap of shit to find the nuggets of valuable and/or hilarious information within (thanks for reading, BTW). I agree. I love it just the way it is too. That's what makes WSB great.
What I'm getting at is that a lot of the stuff that gets posted here - notwithstanding it being funny or interesting - is just... wrong. Like, fucking your cousin wrong. And to be clear, I mean the fucking your *first* cousin kinda wrong, before my Southerners in the back get all het up (simmer down, Billy Ray - I know Mabel's twice removed on your grand-sister's side). Truly, I try to let it slide. I do my bit to try and put you on the right path. Most of the time, I sleep easy no matter how badly I've seen someone explain what a bank liquidity crisis is. But out of all of those tens of thousands of misguided, autistic attempts at understanding the world of high finance, one thing gets so consistently - so *emphatically* - fucked up and misunderstood by you retards that last night I felt obligated at the end of a long work day to pull together this edition of Finance with Fuzzy just for you. It's so serious I'm not even going to make a u/pokimane gag. Have you guessed what it is yet? Here's a clue. It's in the title of the post.
That's right, friends. Today in the neighborhood we're going to talk all about hedging in financial markets - spots, swaps, collars, forwards, CDS, synthetic CDOs, all that fun shit. Don't worry; I'm going to explain what all the scary words mean and how they impact your OTM RH positions along the way.
We're going to break it down like this. (1) "What's a hedge, Fuzzy?" (2) Common Hedging Strategies and (3) All About ISDAs and Credit Default Swaps.
Before we begin. For the nerds and JV traders in the back (and anyone else who needs to hear this up front) - I am simplifying these descriptions for the purposes of this post. I am also obviously not going to try and cover every exotic form of hedge under the sun or give a detailed summation of what caused the financial crisis. If you are interested in something specific ask a question, but don't try and impress me with your Investopedia skills or technical points I didn't cover; I will just be forced to flex my years of IRL experience on you in the comments and you'll look like a big dummy.
TL;DR? Fuck you. There is no TL;DR. You've come this far already. What's a few more paragraphs? Put down the Cheetos and try to concentrate for the next 5-7 minutes. You'll learn something, and I promise I'll be gentle.
Ready? Let's get started.
1. The Tao of Risk: Hedging as a Way of Life
The simplest way to characterize what a hedge 'is' is to imagine every action having a binary outcome. One is bad, one is good. Red lines, green lines; uppie, downie. With me so far? Good. A 'hedge' is simply the employment of a strategy to mitigate the effect of your action having the wrong binary outcome. You wanted X, but you got Z! Frowny face. A hedge strategy introduces a third outcome. If you hedged against the possibility of Z happening, then you can wind up with Y instead. Not as good as X, but not as bad as Z. The technical definition I like to give my idiot juniors is as follows:
Utilization of a defensive strategy to mitigate risk, at a fraction of the cost to capital of the risk itself.
Congratulations. You just finished Hedging 101. "But Fuzzy, that's easy! I just sold a naked call against my 95% OTM put! I'm adequately hedged!". Spoiler alert: you're not (although good work on executing a collar, which I describe below). What I'm talking about here is what would be referred to as a 'perfect hedge'; a binary outcome where downside is totally mitigated by a risk management strategy. That's not how it works IRL. Pay attention; this is the tricky part.
You can't take a single position and conclude that you're adequately hedged because risks are fluid, not static. So you need to constantly adjust your position in order to maximize the value of the hedge and insure your position. You also need to consider exposure to more than one category of risk. There are micro (specific exposure) risks, and macro (trend exposure) risks, and both need to factor into the hedge calculus.
That's why, in the real world, the value of hedging depends entirely on the design of the hedging strategy itself. Here, when we say "value" of the hedge, we're not talking about cash money - we're talking about the intrinsic value of the hedge relative to the the risk profile of your underlying exposure. To achieve this, people hedge dynamically. In wallstreetbets terms, this means that as the value of your position changes, you need to change your hedges too. The idea is to efficiently and continuously distribute and rebalance risk across different states and periods, taking value from states in which the marginal cost of the hedge is low and putting it back into states where marginal cost of the hedge is high, until the shadow value of your underlying exposure is equalized across your positions. The punchline, I guess, is that one static position is a hedge in the same way that the finger paintings you make for your wife's boyfriend are art - it's technically correct, but you're only playing yourself by believing it.
Anyway. Obviously doing this as a small potatoes trader is hard but it's worth taking into account. Enough basic shit. So how does this work in markets?
2. A Hedging Taxonomy
The best place to start here is a practical question. What does a business need to hedge against? Think about the specific risk that an individual business faces. These are legion, so I'm just going to list a few of the key ones that apply to most corporates. (1) You have commodity risk for the shit you buy or the shit you use. (2) You have currency risk for the money you borrow. (3) You have rate risk on the debt you carry. (4) You have offtake risk for the shit you sell. Complicated, right? To help address the many and varied ways that shit can go wrong in a sophisticated market, smart operators like yours truly have devised a whole bundle of different instruments which can help you manage the risk. I might write about some of the more complicated ones in a later post if people are interested (CDO/CLOs, strip/stack hedges and bond swaps with option toggles come to mind) but let's stick to the basics for now.
(i) Swaps
A swap is one of the most common forms of hedge instrument, and they're used by pretty much everyone that can afford them. The language is complicated but the concept isn't, so pay attention and you'll be fine. This is the most important part of this section so it'll be the longest one.
Swaps are derivative contracts with two counterparties (before you ask, you can't trade 'em on an exchange - they're OTC instruments only). They're used to exchange one cash flow for another cash flow of equal expected value; doing this allows you to take speculative positions on certain financial prices or to alter the cash flows of existing assets or liabilities within a business. "Wait, Fuzz; slow down! What do you mean sets of cash flows?". Fear not, little autist. Ol' Fuzz has you covered.
The cash flows I'm talking about are referred to in swap-land as 'legs'. One leg is fixed - a set payment that's the same every time it gets paid - and the other is variable - it fluctuates (typically indexed off the price of the underlying risk that you are speculating on / protecting against). You set it up at the start so that they're notionally equal and the two legs net off; so at open, the swap is a zero NPV instrument. Here's where the fun starts. If the price that you based the variable leg of the swap on changes, the value of the swap will shift; the party on the wrong side of the move ponies up via the variable payment. It's a zero sum game.
I'll give you an example using the most vanilla swap around; an interest rate trade. Here's how it works. You borrow money from a bank, and they charge you a rate of interest. You lock the rate up front, because you're smart like that. But then - quelle surprise! - the rate gets better after you borrow. Now you're bagholding to the tune of, I don't know, 5 bps. Doesn't sound like much but on a billion dollar loan that's a lot of money (a classic example of the kind of 'small, deep hole' that's terrible for profits). Now, if you had a swap contract on the rate before you entered the trade, you're set; if the rate goes down, you get a payment under the swap. If it goes up, whatever payment you're making to the bank is netted off by the fact that you're borrowing at a sub-market rate. Win-win! Or, at least, Lose Less / Lose Less. That's the name of the game in hedging.
There are many different kinds of swaps, some of which are pretty exotic; but they're all different variations on the same theme. If your business has exposure to something which fluctuates in price, you trade swaps to hedge against the fluctuation. The valuation of swaps is also super interesting but I guarantee you that 99% of you won't understand it so I'm not going to try and explain it here although I encourage you to google it if you're interested.
Because they're OTC, none of them are filed publicly. Someeeeeetimes you see an ISDA (dsicussed below) but the confirms themselves (the individual swaps) are not filed. You can usually read about the hedging strategy in a 10-K, though. For what it's worth, most modern credit agreements ban speculative hedging. Top tip: This is occasionally something worth checking in credit agreements when you invest in businesses that are debt issuers - being able to do this increases the risk profile significantly and is particularly important in times of economic volatility (ctrl+f "non-speculative" in the credit agreement to be sure).
(ii) Forwards
A forward is a contract made today for the future delivery of an asset at a pre-agreed price. That's it. "But Fuzzy! That sounds just like a futures contract!". I know. Confusing, right? Just like a futures trade, forwards are generally used in commodity or forex land to protect against price fluctuations. The differences between forwards and futures are small but significant. I'm not going to go into super boring detail because I don't think many of you are commodities traders but it is still an important thing to understand even if you're just an RH jockey, so stick with me.
Just like swaps, forwards are OTC contracts - they're not publicly traded. This is distinct from futures, which are traded on exchanges (see The Ballad Of Big Dick Vick for some more color on this). In a forward, no money changes hands until the maturity date of the contract when delivery and receipt are carried out; price and quantity are locked in from day 1. As you now know having read about BDV, futures are marked to market daily, and normally people close them out with synthetic settlement using an inverse position. They're also liquid, and that makes them easier to unwind or close out in case shit goes sideways.
People use forwards when they absolutely have to get rid of the thing they made (or take delivery of the thing they need). If you're a miner, or a farmer, you use this shit to make sure that at the end of the production cycle, you can get rid of the shit you made (and you won't get fucked by someone taking cash settlement over delivery). If you're a buyer, you use them to guarantee that you'll get whatever the shit is that you'll need at a price agreed in advance. Because they're OTC, you can also exactly tailor them to the requirements of your particular circumstances.
These contracts are incredibly byzantine (and there are even crazier synthetic forwards you can see in money markets for the true degenerate fund managers). In my experience, only Texan oilfield magnates, commodities traders, and the weirdo forex crowd fuck with them. I (i) do not own a 10 gallon hat or a novelty size belt buckle (ii) do not wake up in the middle of the night freaking out about the price of pork fat and (iii) love greenbacks too much to care about other countries' monopoly money, so I don't fuck with them.
(iii) Collars
No, not the kind your wife is encouraging you to wear try out to 'spice things up' in the bedroom during quarantine. Collars are actually the hedging strategy most applicable to WSB. Collars deal with options! Hooray!
To execute a basic collar (also called a wrapper by tea-drinking Brits and people from the Antipodes), you buy an out of the money put while simultaneously writing a covered call on the same equity. The put protects your position against price drops and writing the call produces income that offsets the put premium. Doing this limits your tendies (you can only profit up to the strike price of the call) but also writes down your risk. If you screen large volume trades with a VOL/OI of more than 3 or 4x (and they're not bullshit biotech stocks), you can sometimes see these being constructed in real time as hedge funds protect themselves on their shorts.
(3) All About ISDAs, CDS and Synthetic CDOs
You may have heard about the mythical ISDA. Much like an indenture (discussed in my post on $F), it's a magic legal machine that lets you build swaps via trade confirms with a willing counterparty. They are very complicated legal documents and you need to be a true expert to fuck with them. Fortunately, I am, so I do. They're made of two parts; a Master (which is a form agreement that's always the same) and a Schedule (which amends the Master to include your specific terms). They are also the engine behind just about every major credit crunch of the last 10+ years.
First - a brief explainer. An ISDA is a not in and of itself a hedge - it's an umbrella contract that governs the terms of your swaps, which you use to construct your hedge position. You can trade commodities, forex, rates, whatever, all under the same ISDA.
Let me explain. Remember when we talked about swaps? Right. So. You can trade swaps on just about anything. In the late 90s and early 2000s, people had the smart idea of using other people's debt and or credit ratings as the variable leg of swap documentation. These are called credit default swaps. I was actually starting out at a bank during this time and, I gotta tell you, the only thing I can compare people's enthusiasm for this shit to was that moment in your early teens when you discover jerking off. Except, unlike your bathroom bound shame sessions to Mom's Sears catalogue, every single person you know felt that way too; and they're all doing it at once. It was a fiscal circlejerk of epic proportions, and the financial crisis was the inevitable bukkake finish. WSB autism is absolutely no comparison for the enthusiasm people had during this time for lighting each other's money on fire.
Here's how it works. You pick a company. Any company. Maybe even your own! And then you write a swap. In the swap, you define "Credit Event" with respect to that company's debt as the variable leg . And you write in... whatever you want. A ratings downgrade, default under the docs, failure to meet a leverage ratio or FCCR for a certain testing period... whatever. Now, this started out as a hedge position, just like we discussed above. The purest of intentions, of course. But then people realized - if bad shit happens, you make money. And banks... don't like calling in loans or forcing bankruptcies. Can you smell what the moral hazard is cooking?
Enter synthetic CDOs. CDOs are basically pools of asset backed securities that invest in debt (loans or bonds). They've been around for a minute but they got famous in the 2000s because a shitload of them containing subprime mortgage debt went belly up in 2008. This got a lot of publicity because a lot of sad looking rednecks got foreclosed on and were interviewed on CNBC. "OH!", the people cried. "Look at those big bad bankers buying up subprime loans! They caused this!". Wrong answer, America. The debt wasn't the problem. What a lot of people don't realize is that the real meat of the problem was not in regular way CDOs investing in bundles of shit mortgage debts in synthetic CDOs investing in CDS predicated on that debt. They're synthetic because they don't have a stake in the actual underlying debt; just the instruments riding on the coattails. The reason these are so popular (and remain so) is that smart structured attorneys and bankers like your faithful correspondent realized that an even more profitable and efficient way of building high yield products with limited downside was investing in instruments that profit from failure of debt and in instruments that rely on that debt and then hedging that exposure with other CDS instruments in paired trades, and on and on up the chain. The problem with doing this was that everyone wound up exposed to everybody else's books as a result, and when one went tits up, everybody did. Hence, recession, Basel III, etc. Thanks, Obama.
Heavy investment in CDS can also have a warping effect on the price of debt (something else that happened during the pre-financial crisis years and is starting to happen again now). This happens in three different ways. (1) Investors who previously were long on the debt hedge their position by selling CDS protection on the underlying, putting downward pressure on the debt price. (2) Investors who previously shorted the debt switch to buying CDS protection because the relatively illiquid debt (partic. when its a bond) trades at a discount below par compared to the CDS. The resulting reduction in short selling puts upward pressure on the bond price. (3) The delta in price and actual value of the debt tempts some investors to become NBTs (neg basis traders) who long the debt and purchase CDS protection. If traders can't take leverage, nothing happens to the price of the debt. If basis traders can take leverage (which is nearly always the case because they're holding a hedged position), they can push up or depress the debt price, goosing swap premiums etc. Anyway. Enough technical details.
I could keep going. This is a fascinating topic that is very poorly understood and explained, mainly because the people that caused it all still work on the street and use the same tactics today (it's also terribly taught at business schools because none of the teachers were actually around to see how this played out live). But it relates to the topic of today's lesson, so I thought I'd include it here.
Work depending, I'll be back next week with a covenant breakdown. Most upvoted ticker gets the post.
*EDIT 1\* In a total blowout, $PLAY won. So it's D&B time next week. Post will drop Monday at market open.
submitted by fuzzyblankeet to wallstreetbets [link] [comments]

Free Forex Trading Signals Specifically for Binary Options

Providing Free Forex Trading Signals Specifically for Binary Option Traders
Hello Guys,
I have started providing free forex trading signals specifically for Binary Options Traders since today.
My hit rate is over 65%
These trades will be superbly profitable if the payout is over 100%. Some brokers do offer payouts over 100%
The next question that would come to anyone’s mind who reads this is, why are you giving free signals away if they are so profitable? Well, to be honest, I have a problem. The system I have made for giving me signals is superb, but I just cannot control myself and end up over trading. I over trade and end up blowing my account every single time. This system would be superb for someone who can control their emotions and not over trade. So today I have had enough, and I have decided to offer free trading signals.
So what’s in it for me? The idea is to offer free trading signals to build a large following and then I will move on to a limited number of signals for free and all the signals for paid users. That’s how I plan to make money.
Well, now you must be wondering that I have ranted enough so where’s the proof?
I am attaching the link to my twitter profile where I have posted 5 trades along with the entry and proof that they hit targets. Please note that the expiry of 4 minutes works out best for binary options on my trading signals.
Let me know what you guys think. If you truly feel it’s legit then please spread the word.
Thank YouTwitter Posts
submitted by ThreeD710 to options [link] [comments]

FOLO Trading

FOLO Trading
TLDR: FOLO out of $100,500 in potential profit. Learned to let my winners run and BUD trade as example!
Hey all. First of all, I just want to throw out a disclaimer that I am by no mean an experienced, professional trader. In fact, I made my first option trade a little over a year ago and only started to take this seriously about 6 months ago. I recently hit a milestone in my pursuit of trading as a career so I decided that I would share some of the experiences I’ve gained in hope that maybe someone that’s looking to pursue this seriously can take from my limited experience to not make the same mistakes I made. It’s been a rough 2020 and hopefully by helping each other we’ll pull through this horrible year together.
I don’t know how some of you guys are but to me the fear of losing out (FOLO) on a trade that you’re in is actually worse than the fear of missing out (FOMO) on a trade that you’ve missed due to a ridiculous run. The single most haunting FOLO trade I was involved in was during the week that TSLA had its crazy melt up in February 2020.
The TSLA trade:

Robinhood Trading History

Trading Journal TSLA200207C900 Trade Flow

TSLA200207C900 Chart

I woke up to a notification from Robinhood that TSLA made a 10% pre-market run the morning of Monday, February 3, 2020. So the FOMO in me scrambled to login to Robinhood and scrolled through the option chain for a cheap weekly option. Decided on the $900 strike expiring that Friday and bought 10 option contracts at .11 per contract with a net debit of $110. The rest is pretty murky from memory but I remember within a matter of minutes, the option value went up to .29, then .35 then it quickly pulled back to .28 back to .25 and I frantically sold my option contracts for .23 which netted me a $230 credit. I made $120 in a matter of minutes and I was damn proud of myself. I spent the next few hours watching the stock run up and up and up by then I didn’t want to get back in because I needed to get ready for work and wouldn’t be able to monitor the action to sell it at the “right price”. I didn’t want to spend more money on another FOLO trade and risk it running back down and losing all the money that I had just made. So I begrudgingly got ready for work that evening. The next day, TSLA ran all the way past $900 to make all time high and I was stuck at work feeling like a dumbass. That option contract in particular ended that Tuesday trading day at 100.5 per contract or in theory I would have made $100,500. In theory and hindsight is always 20/20**.**
What I learned from this trade was that FOLO is real and you’ll never be able to sell at the top. In hindsight, I could have just set a GTC sell price and be content with the profit I made or not.
Months later, once I started to take trading more seriously: I listened to podcasts, read all the market wizards books, read the story of Jesse Livermore, watched various trading YouTube channels and compiled all of that experience together to apply them to my trades. The single most pivotal idea that I gathered from all of these experiences was that trading decisions should not be based on a single binary decision to buy or sell but rather it should be framed around the idea of “how do I extract the most value from this particular trade” (Let your winners run). I use this idea every day to help me structure most of my trades that I also track obsessively to help me make decisions that would optimize profit potential while limiting the risk of FOLO. This leads me to the BUD trade
The BUD trade:

TOS BUD Trade History

Trading Journal BUD200918C55 Trade Flow

This is the trade where I applied what I learned to manage the trade from beginning to end. However, at the very end I still managed a fumble and lost out on a potential gain of approximately $3300 had I followed my trading plan.
  1. The opening trade was simple, I was looking for any companies that would benefit most from COVID yet still hadn’t recovered like most of the other companies at the time. I chose BUD because of these criterias and the strike price was about what it was trading at prior to COVID. Note: I was still learning and had not really learned to make trading decisions based on the Greeks. The trade was purely speculative along with the strike. However, I did start to track certain data for every at the point the trade is made for future analysis.
  2. Early June most companies had major run ups and BUD was also one of the companies that benefited. Price improvement was up about 14% which consequently led the option prices to rise to about 2.5 - 3. However, I did not want to close out the trade and miss out on subsequent run-ups. I didn’t want to just sell half. I wanted to be in the entire trade the entire time without sacrificing too much profit gained. So, I sold the 60 strike to essentially convert my original call to a debit spread while at the same time I was able to collect $2180 which was approximately $630 in profit. This allowed me to stay in the trade and should BUD continue its run I would still have a maximum profit potential of 5000 remaining to collect.
  3. By July BUD was ranging around $53 and so I decided to buy back the September 60 strike and sell the August 55 strike which converted my original trade to a Calendar spread. This allowed me to net an additional $700 in profit.
  4. Mid July, I saw that BUD was still trading under $55 so I decided to sell 5 contracts of Credit Spread to capitalize on the lack of movement. The worst thing that could have happened was that it would skyrocket and I would have lost $600 from the original trade overall. Thankfully, it didn’t and I was able to buy the credit spread back for $10. Which yielded an additional $150 in profit.
  5. Finally by the expiration date BUD was trading around $55 and I had to close out the trade or risk assignment on my short strike in August. I waited the entire day and frantically sold the calendar spread to essentially close out the entire trade which yielded an additional $1700.
    1. Where I messed up was that I should have bought back the August 55 short strike and sold the September 60 strike for a small $150 additional profit. This would have converted the trade back to a 55/60 debit spread. In addition, this would have allowed me to remain in the trade for at least a couple of more weeks in case of a run up and I would still be able to collect the full remaining $5000. Last I checked, the debit spread would have sold for $3.75 which would have yielded $3750 instead of the $1700 from closing the trade as a calendar spread.
    2. Another step for those that really want to stay til the end is to convert the debit spread into a credit spread to gain a larger profit if you believe that BUD will pull back under $60.
So, hopefully my experience helps those that are still learning to trade like I am. I know trading isn’t easy and it's all fun and game when we see people post massive gains on their YOLO trades. Just remember, for every trade with massive gains, there’s someone on the other side experiencing the same frustration for his/her massive losses. Good luck, everyone.
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