What is Put/Call Ratio in Forex Options - RebateKingFX

Former investment bank FX trader: news trading and second order thinking

Former investment bank FX trader: news trading and second order thinking
Thanks to everyone who responded to the previous pieces on risk management. We ended up with nearly 2,000 upvotes and I'm delighted so many of you found it useful.
This time we're going to focus on a new area: reacting to and trading around news and fundamental developments.
A lot of people get this totally wrong and the main reason is that they trade the news at face value, without considering what the market had already priced in. If you've ever seen what you consider to be "good" or "better than forecast" news come out and yet been confused as the pair did nothing or moved in the opposite direction to expected, read on...
We are going to do this in two parts.
Part I
  • Introduction
  • Why use an economic calendar
  • How to read the calendar
  • Knowing what's priced in
  • Surveys
  • Rates decisions
  • First order thinking vs second order thinking

Introduction

Knowing how to use and benefit from the economic calendar is key for all traders - not just news traders.
In this chapter we are going to take a practical look at how to use the economic calendar. We are also going to look at how to interpret news using second order thinking.
The key concept is learning what has already been ‘priced in’ by the market so we can estimate how the market price might react to the new information.

Why use an economic calendar

The economic calendar contains all the scheduled economic releases for that day and week. Even if you purely trade based on technical analysis, you still must know what is in store.

https://preview.redd.it/20xdiq6gq4k51.png?width=1200&format=png&auto=webp&s=6cd47186db1039be7df4d7ad6782de36da48f1db
Why? Three main reasons.
Firstly, releases can help provide direction. They create trends. For example if GBPUSD has been fluctuating aimlessly within a range and suddenly the Bank of England starts raising rates you better believe the British Pound will start to move. Big news events often start long-term trends which you can trade around.
Secondly, a lot of the volatility occurs around these events. This is because these events give the market new information. Prior to a big scheduled release like the US Non Farm Payrolls you might find no one wants to take a big position. After it is released the market may move violently and potentially not just in a single direction - often prices may overshoot and come back down. Even without a trend this volatility provides lots of trading opportunities for the day trader.

https://preview.redd.it/u17iwbhiq4k51.png?width=1200&format=png&auto=webp&s=98ea8ed154c9468cb62037668c38e7387f2435af
Finally, these releases can change trends. Going into a huge release because of a technical indicator makes little sense. Everything could reverse and stop you out in a moment. You need to be aware of which events are likely to influence the positions you have on so you can decide whether to keep the positions or flatten exposure before the binary event for which you have no edge.
Most traders will therefore ‘scan’ the calendar for the week ahead, noting what the big events are and when they will occur. Then you can focus on each day at a time.

Reading the economic calendar


Most calendars show events cut by trading day. Helpfully they adjust the time of each release to your own timezone. For example we can see that the Bank of Japan Interest Rate decision is happening at 4am local time for this particular London-based trader.

https://preview.redd.it/lmx0q9qoq4k51.jpg?width=1200&format=pjpg&auto=webp&s=c6e9e1533b1ba236e51296de8db3be55dfa78ba1

Note that some events do not happen at a specific time. Think of a Central Banker’s speech for example - this can go on for an hour. It is not like an economic statistic that gets released at a precise time. Clicking the finger emoji will open up additional information on each event.

Event importance

How do you define importance? Well, some events are always unimportant. With the greatest of respect to Italian farmers, nobody cares about mundane releases like Italian farm productivity figures.
Other events always seem to be important. That means, markets consistently react to them and prices move. Interest rate decisions are an example of consistently high importance events.
So the Medium and High can be thought of as guides to how much each event typically affects markets. They are not perfect guides, however, as different events are more or less important depending on the circumstances.
For example, imagine the UK economy was undergoing a consumer-led recovery. The Central Bank has said it would raise interest rates (making GBPUSD move higher) if they feel the consumer is confident.
Consumer confidence data would suddenly become an extremely important event. At other times, when the Central Bank has not said it is focused on the consumer, this release might be near irrelevant.

Knowing what's priced in

Next to each piece of economic data you can normally see three figures. Actual, Forecast, and Previous.
  • Actual refers to the number as it is released.
  • Forecast refers to the consensus estimate from analysts.
  • Previous is what it was last time.
We are going to look at this in a bit more detail later but what you care about is when numbers are better or worse than expected. Whether a number is ‘good’ or ‘bad’ really does not matter much. Yes, really.

Once you understand that markets move based on the news vs expectations, you will be less confused by price action around events

This is a common misunderstanding. Say everyone is expecting ‘great’ economic data and it comes out as ‘good’. Does the price go up?
You might think it should. After all, the economic data was good. However, everyone expected it to be great and it was just … good. The great release was ‘priced in’ by the market already. Most likely the price will be disappointed and go down.
By priced in we simply mean that the market expected it and already bought or sold. The information was already in the price before the announcement.
Incidentally the official forecasts can be pretty stale and might not accurately capture what active traders in the market expect. See the following example.

An example of pricing in

For example, let’s say the market is focused on the number of Tesla deliveries. Analysts think it’ll be 100,000 this quarter. But Elon Musk tweets something that hints he’s really, really, really looking forward to the analyst call. Tesla’s price ticks higher after the tweet as traders put on positions, reflecting the sentiment that Tesla is likely to massively beat the 100,000. (This example is not a real one - it just serves to illustrate the concept.)

Tesla deliveries are up hugely vs last quarter ... but they are disappointing vs market expectations ... what do you think will happen to the stock?

On the day it turns out Tesla hit 101,000. A better than the officially forecasted result - sure - but only marginally. Way below what readers of Musk's twitter account might have thought. Disappointed traders may sell their longs and close out the positions. The stock might go down on ‘good’ results because the market had priced in something even better. (This example is not a real one - it just serves to illustrate the concept.)

Surveys

It can be a little hard to know what the market really expects. Often the published forecasts are stale and do not reflect what actual traders and investors are looking for.
One of the most effective ways is a simple survey of investors. Something like a Twitter poll like this one from CNBC is freely available and not a bad barometer.
CNBC, Bloomberg and other business TV stations often have polls on their Twitter accounts that let you know what others are expecting

Interest rates decisions

We know that interest rates heavily affect currency prices.
For major interest rate decisions there’s a great tool on the CME’s website that you can use.

See the link for a demo

This gives you a % probability of each interest rate level, implied by traded prices in the bond futures market. For example, in the case above the market thinks there’s a 20% chance the Fed will cut rates to 75-100bp.
Obviously this is far more accurate than analyst estimates because it uses actual bond prices where market participants are directly taking risk and placing bets. It basically looks at what interest rate traders are willing to lend at just before/after the date of the central bank meeting to imply the odds that the market ascribes to a change on that date.
Always try to estimate what the market has priced in. That way you have some context for whether the release really was better or worse than expected.

Second order thinking

You have to know what the market expects to try and guess how it’ll react. This is referred to by Howard Marks of Oaktree as second-level thinking. His explanation is so clear I am going to quote extensively.
It really is hard to improve on this clarity of thought:
First-level thinking is simplistic and superficial, and just about everyone can do it (a bad sign for anything involving an attempt at superiority). All the first-level thinker needs is an opinion about the future, as in “The outlook for the company is favorable, meaning the stock will go up.” Second-level thinking is deep, complex and convoluted.
Howard Marks
He explains first-level thinking:
The first-level thinker simply looks for the highest quality company, the best product, the fastest earnings growth or the lowest p/e ratio. He’s ignorant of the very existence of a second level at which to think, and of the need to pursue it.
Howard Marks
The above describes the guy who sees a 101,000 result and buys Tesla stock because - hey, this beat expectations. Marks goes on to describe second-level thinking:
The second-level thinker goes through a much more complex process when thinking about buying an asset. Is it good? Do others think it’s as good as I think it is? Is it really as good as I think it is? Is it as good as others think it is? Is it as good as others think others think it is? How will it change? How do others think it will change? How is it priced given: its current condition; how do I think its conditions will change; how others think it will change; and how others think others think it will change? And that’s just the beginning. No, this isn’t easy.
Howard Marks
In this version of events you are always thinking about the market’s response to Tesla results.
What do you think they’ll announce? What has the market priced in? Is Musk reliable? Are the people who bought because of his tweet likely to hold on if he disappoints or exit immediately? If it goes up at which price will they take profit? How big a number is now considered ‘wow’ by the market?
As Marks says: not easy. However, you need to start getting into the habit of thinking like this if you want to beat the market. You can make gameplans in advance for various scenarios.
Here are some examples from Marks to illustrate the difference between first order and second order thinking.

Some further examples
Trying to react fast to headlines is impossible in today’s market of ultra fast computers. You will never win on speed. Therefore you have to out-think the average participant.

Coming up in part II

Now that we have a basic understanding of concepts such as expectations and what the market has priced in, we can look at some interesting trading techniques and tools.
Part II
  • Preparing for quantitative and qualitative releases
  • Data surprise index
  • Using recent events to predict future reactions
  • Buy the rumour, sell the fact
  • The trimming position effect
  • Reversals
  • Some key FX releases
Hope you enjoyed this note. As always, please reply with any questions/feedback - it is fun to hear from you.
***
Disclaimer:This content is not investment advice and you should not place any reliance on it. The views expressed are the author's own and should not be attributed to any other person, including their employer.
submitted by getmrmarket to Forex [link] [comments]

Have any of you radically changed your political views since childhood?

I grew up in a typical conservative middle-class household in the 90s. Like most conservative families, I grew up hearing about how horrible Sheikh Mujib became after 71, and how people were so relieved after he was murdered in 1975. This is something I heard from everyone, relatives, friends, etc. I, too, used to hate Sheikh Mujib. I thought he was a dictator, pro-India, anti-Islam, traitor, just wanted to be Pakistan's PM, etc.
Of course, I was a teenager in the 2001-2006 period when the BNP-Jamat government rammed the entire country into the ground. There were hartals and oborodhs all the time, electricity used to go off every other hour, terrorist would blast a bomb every other week while the government would term it all as a "conspiracy", there was no development and we would stagger from one crisis to another. Mullahs would carry out misils all the time calling for Shariah law, and attacking Ahmadiyya houses. Khaleda Zia had zero control over the country. She just didn't have any leadership qualities. I felt that I wanted to leave this shithole as soon as I got the first opportunity.
The BNP regime was interrupted by the caretaker government. Full of "highly educated" bureaucrats, I naturally supported them. But their "Minus 2" plan went nowhere, and they weren't being able to handle the country either. Fakhruddin Ahmed and Moinuddin Ahmed just didn't' have any leadership qualities either. Facing an unfavourable situation, they at least had the decency to organize elections and arrange a respectable exit for themselves.
Then we the Awami League get power in 2008. I still hated them back then. Their first term, 2009-2013 was full of turmoil, with the "Shahbag movement" and the "ICT Tribunal" and the hanging of the senior Jamat leaders. But the country gradually started getting into shape. If you look at the economic indicators we started taking off in 2010. By 2014 political stability was re-established. This was all possible due to Sheikh Hasina's leadership qualities, which others lack. The Awami League's electricity reforms paid off, and loadshedding is largely over in Dhaka. Awami League drastically reduced prices of broadband internet, and we got access to bufferless YouTube for the first time. BNP was jumping up and down screaming that government was looting crores of taka under the name of quick rental power plants. But our forex reserves zoomed from 10 billion to 30 billion. New roads were being built everywhere and Bangladesh's Debt-to-GDP ratio remains one of the lowest in South Asia, and in the world.
So I was really forced to re-evaluate my hatred of Awami League, Sheik Hasina and Sheikh Mujib. When I looked back at the life of Sheikh Mujib, I found that he dedicated his life to the people of East Bengal. He was a part of the Muslim League to get independence for us, and after witnessing the bloody religious riots changed his worldview to secular democratic socialism. That's something very admirable! That's not anti-Islam at all! And then he joined forces with India to free East Pakistan. That's not treason, his loyalty was to the people of East Pakistan. He single-handedly united 60 million very backward and uneducated people and led them to independence. After that, he presided over the creation of a Constitution that was secular, in a overwhelmingly rural, uneducated Muslim country. He could easily have given in to Saudi Arabia in return for oil, like so many Muslim countries, but did not compromise. He could have chosen to recognize Israel, and have gotten instant recognition and support from the West, but stayed firm to his principles of loyalty to the Palestinian people. All of his actions point towards the qualities of a great leader. Sheikh Mujib did not allow the Indians to stay in Bangladesh and ensured their withdrawal.
Just have a look at countries around the world today. Look at Syria, where they have a bastard dictator who murders his own people, and an opposition full of traitors and terrorists. Look at Libya, where the people have no leadership. Look at India, where they are under the thrall of a fascist religious dictator Modi. Sudan is only establishing secularism in their constitution in 2020, while Bangladesh did it 50 years ago!!! Look at Iran, where people are all trying to escape their religious government. Look at Pakistan with their blasphemy laws and their mullahs trying to oppose any law against child marriage! We bypassed all of this thanks to Sheikh Mujib and his foresight!!!
The closest leader who resembles Sheikh Mujib would be Mustafa Kemal Ataturk. While Ataturk was objectively greater than Sheikh Mujib, since he was an accomplished military leader who led the actual Turkish War of Independence himself, Ataturk also modernized a backward, rural, uneducated nation overnight into a modern, secular and democratic state. Of course, Ataturk has many haters. They also accuse him of being a dictator. But his achievements greatly overshadow any sacrifices that may have been required to achieve the goal of a modern independent Turkey. The same goes for Shiekh Mujib. Whatever are his faults, Rakkhi Bahini, BAKSAL, I am willing to forgive him for his leadership during our independence and his creation of a secular and democratic Bangladesh.
Today we are blessed to have his daughter Sheikh Hasina in power. Lots of you might call her "fascist". That's such a lazy and pathetic position to take. Trust me, if there was any other leader other than SH as PM the government would be just as "fascist" as her government is now. Its so easy to sit back behind a PC and cry "fascist fascist fascist". YOU try organizing a political party in a nation of 165 million people, and then successfully leading that country on the path towards economic development. Without a doubt, if those crying 'fascist fascist' were put into power as PM they would be 100 times more fascistic than Sheikh Hasina is right now.
Without a doubt, human rights abuses occur under her. Abrar was beaten to death by BCL thugs (which was fully supported by the 'humanist' Taslima Nasrin btw). But those BCL thugs are in jail now. Major Sinha Rashed Khan was murdered by OC Liakat and Prodip. Both of them are in jail. If SH was as fascist as people claim, they would be out in the streets, like the Hindu thugs who carried out the Delhi riots in February, or the terrorist Mullahs in Pakistan who forcibly convert and kidnap Christian girls.
So, from what I have seen, Awami League is an organic political party of the people of East Bengal. They have deeper roots in the hearts of the people than any other political movement. And they should be lauded because they have established secularism and inclusive nationalism where there is space for Bangladeshis of all religions and ethnicities in a united Bangladesh. While sometimes they have acted in a fascist manner, it is excusable because there is no other alternative in Bangladesh who can win elections and be more liberal than BAL. Instead of pathetically criticizing them, those who want the best for Bangladesh should work with them in order to reduce the human rights abuses which do still occur. BAL will be remembered in history like the PAP of Singapore, or the UMNO of Malaysia, or the Chinese Communist Party; all of whom were authoritarian, who were accused of being fascist, but ultimately ensured the evolution of their societies from backward uneducated agricultural societies to modern, secular democratic industrial ones.
submitted by bgd_guy to bangladesh [link] [comments]

The rise of fake Gurus

The rise of fake Gurus
https://preview.redd.it/s8df6kzd0tw51.jpg?width=1200&format=pjpg&auto=webp&s=1415af6b476b3ad00d3fcb6a8769de347b2a132d
Today, we are going to discuss how the rising of fake gurus from YouTube actually hacking our brain and trapping us to gambling in the stock market by using their attractive thumbnail and live webinar. In the end, we will discuss how to avoid being trapped. Please read this article seriously because we have made it very simple for you to check who is good or bad.
We Indians feel good when someone gives us something free of cost whether that content is valid or not, legit or not we hardly verify the facts. We can accept anything & everything IF it is free of cost. Didn’t you experience it?
At first, we are going to talk about why 95% of stock market-related content on YouTube is bullshit and fake which will not give you satisfactory results what they are claiming in the thumbnail. It’s so funny that I identified there in one video thumbnail that claimed to quit your job to become a millionaire by following his strategy. Seriously, Guys?
There are millions of fancy strategies stated as no loss strategy, guaranteed monthly income strategy, 100% working strategy, intraday tricks which will never give you loss, how to earn 1 Cr in one day, Become warren buffet in 3 simple steps, how to get your money double in options trading, etc, etc
You know guys what is the most fun thing? There are millions of views on their videos. It’s clearly indicating that we are the ones viewing all those videos that resulted in getting us trapped. Isn’t it?
How is it possible that someone without any experience will come and tell us how to make millions from the stock market? Guys, think logically does that possible? Have you ever verified their article before practically implementing it in the live market by putting your hard-earned money? Why are you using even in the first place?
Believe me, no one can make you rich in the stock market. It’s only your right and quality knowledge, dedication, and focus that can change the way you see the stock market. No amount of information will provide you an edge or trading improvement until and unless you experience it by yourself practically by implementing.
For egg: whatever we share at AfterVision, we do it with full confidence because we only share a backtested system that we have achieved after 11 years of deep research & experience. Believe in the result, don’t just focus on fake and manipulated promises.
Any single mistake in the stock market can make your capital zero. You have to control and focus on your Psychological process and implementation with the combination of Disciplined because these both play an important key role in the stock market then come last our so-called strategy. The strategy has no value if you don’t have an advanced system which can give you a better risk-reward ratio and clear cut entry and exit mechanism.
Never join anybody if someone is making fake promises to give you more than a 10% return per month consistently. But, the funny thing is no one will talk about less than 30-50% of the capital return. Amazed? Don’t be the one to get trapped though!
Never be dependent on any tip provider, signal or software, etc because trust me it is a bullshit idea of selling tips and indictors which doesn’t work seriously. They don’t trade themselves because it’s easy for YouTubers to create a 5 min video explaining about anything and showing some fake screenshots to trust us easily on them. YouTube is like their Dukan(shop), the business turnover is depending on our views we give to them that why they always come up with some choosy and fake caption and thumbnail such as 100% capital double, no loss strategy, etc so that viewers will click often on their video by getting trapped.
Youtuber and live webinar guys will emotionally sell you some sort of snack oil of how you can change your life by joining their superficial level program. I am not telling you that all are bad. But, I can tell you 6 out of 10 are selling craps on the name of courses. I have got to join so many courses in the last 6 months to experience ranges from Indian to Forex guys. They are just bragging about indicator on the name of courses. That’s it. We already know indicators don’t work all the time. It’ll give you 3 times signals within 30 min. You’ll confuse about whether to buy or sell. That’s what the techniques they are claiming to work 100% of the time in any market in any situation.
Why we are different at AfterVision?
First of all, we don’t ever promise you to give 100% result because there is no perfect system in the world which can give you 100% result.
We don’t sit and trade the whole day that’s a fishy system to sit the whole day to make money. At AfterVision, Only 45-60 min is enough to make money if you are a serious trader. We focus on a one-to-one basis live session rather than providing a crowd or batch where no one can ask questions openly.
We don’t talk about any kind of indicators because believe me it is just crap, will only confuse you in the end. we believe in logical trading, if you are not getting any logic to take an entry or exit then simply we sleep that day without doing trade.
We never focus on more than 5 trades in a month because we believe in quality rather than just focusing on quantity. We provide 24*7 doubt sessions with lifetime support. Yes, anytime you can call at AfterVision to take any support.
Click here - http://blog.aftervisioneducation.com/the-rise-of-fake-gurus/
submitted by aveducatioseo to u/aveducatioseo [link] [comments]

So you wanna be a proffesional trader?

Back to the trenches I guess. Some of you might remember my last post over proffesional approaches to the markets. If not I suggest you take a look on it before reading this.
https://www.reddit.com/Forex/comments/cxymyf/a_peek_into_how_financial_institutions_play_this/
I promised to discuss some stuff about macroeconomic approaches to forex, and well, with some delay here I am. Again, here I introduce the very same disclaimer. This is a professional approach, not coming from retail. Take everything with a grain of salt, and exercise proper due diligence with your approach. Sincerely hope you get something out of this post.
An inconvenient, forex truth
You've been there, struggling and suffering for a while. You have experienced the pain that the markets can unleash on you. You have left positions on the red for longer than your sanity could possible hold. You have opened positions that moved to the green, but you did not take any profits and you let that position slowly die and possibly causing huge loses. Now here you are , in October 2019, possibly as a breakeven trader, still suffering and trying. You have researched hundreds of indicators, if not thousands. You thought you have all sorted out with your RSI , stochastics and TDI. Yet you have switched between strategies more than you have changed your underpants in your whole life. Spent too many hours looking at the screen, wondering what the hell you are still missing.
And the incovenient truth is that you want the glitz and the glamour, and the caviar, but you are not willing to eat the shit. And this is the shit: How are you expecting to make any good money on a field where you dont know virtually anything about it. Nor the substance that you are trading, nor what moves it. How are you actually expecting to beat guys that breath and eat economics?. You know literally nothing about volatility and liquidity, about interbanking flows , about puts and calls, market microestructure and price delivery mechanisms both on OTC markets and CME , what is GDP , how is calculated and why is critical. CPI, NMI, GDP to debt ratios, UST, repo markets, shadow banking, carry diferentials, how and why commodities alter certain currencies. EM vs G10 currencies, pegged vs unpegged. Balances of Payments.... When you hear "greeks" you are thinking about the Iliad or Athens. You know nothing about business and credit cycles. Valuation anchors, return to the mean, standard deviations, fair values. I could go on and on and on. Does this make you uncomfortable? It should.
You have dozens of the best students that the world can produce, coming out of the London School of Economics, or from IT degrees in Harvard and MIT, all moving into freaking huge financial institutions, building complex system, doing incredible research . Funded to an extreme you can not imagine. Working in partnership with the IMF and Central Banks all aroundthe world. PhD's dedicating their lifes to such complex systems and situations....... and yet here you are, insolent and ignorant piece of s***, you that have been trying to make your "RSI" or "stochastic" work for 2 months, trying to beat this multi billion-trillionaire infrastrucure. Do you start to realize where the f*** do you stand? Do you really believe even for a freaking second that you can beat them on their game? Using RSI or Ichimoku? EAT.THIS.SHIT.
And its not that technicals are not necesary. They are. But believe me, I (and most pro's that I've ever engaged with) spent less than 1/5 of the time actually managing trades and looking at price charts. If I'm not scalping , my day starts with me reading around 12 to 15 research papers coming from the main financial institutions, glued to my Reuters terminal reading more reports, looking at polls, updating my macroeconomic models with the latest data, performing calculations related to options...... only then, with a fundamental trading idea, I will move to evaluate technicals to see if the timing is good.
I want to learn, how shall I procede?
You want to build a lasting and enjoyable relationship with the market? EAT THE SHIT, and do all that is under your control to actually be able to open The Financial Times and understand what they are talking about. It will take you years, and for the education, hundreds of dollars. But this is how it goes if you want to get real. This is career, not a hobby. This is simply the way to be consistent. EAT THE SHIT.
I compiled some resources to get you started:
ACATIS Konferenz 2016, Mr. Koo, Surviving in the Intellectually Bankrupt Monetary Policy Environment - A great video coming from Nomura, to understand the actual shitty situation in the Eurozone.
Online Courses - Look for IMF on EDX. Also, a fenomenal course on Banking and Money in Coursera.
Books -
Macroeconomics, Gregory Mankiw - Start here to graps the basic concepts
Financial Times Guide to the Financial Markets
Financial Times Guide to Banking
Applied Financial Macroeconomics and Investment Strategy: A Practitioner’s Guide to Tactical Asset Allocation
The Holy Grail of Macroeconomics: Lessons from Japan's Great Recession
The Escape from Balance Sheet Recession and the QE Trap: A Hazardous Road for the World Economy
The Other Half of Macroeconomics and the Fate of Globalization (English Edition)
The new lombard street - how the fed became the dealer of last resort
Foreign Exchange , Amy Middleton
The Role of Currency in Institutional Portfolios, Momtchil Pojarliev and Richard M. Levich
Currency Overlay: A Practical Guide, Second Edition, Hai Xin
The Handbook of Corporate Financial Risk (2nd edition)
Trade Stocks and Commodities with the Insiders: Secrets of the COT Report (Wiley Trading)
How I Made One Million Dollars Last Year Trading Commodities
Market Liquidity: Theory, Evidence, and Policy (English Edition)
Trading And Exchanges: Market Microstructure For Practitioners
The Microstructure Approach to Exchange Rates
The Creature from Jekyll Island: A Second Look at the Federal Reserve
Big Debt Crises
Payments Systems in the U.S. - Third Edition: A Guide for the Payments Professional
The Volatility Machine: Emerging Economics and the Threat of Financial Collapse (English Edition)
Stabilizing an Unstable Economy
submitted by Cryptochihuahua to Forex [link] [comments]

I've reproduced 130+ research papers about "predicting the stock market", coded them from scratch and recorded the results. Here's what I've learnt.

ok, so firstly,
all of the papers I found through Google search and Google scholar. Google scholar doesn't actually have every research paper so you need to use both together to find them all. They were all found by using phrases like "predict stock market" or "predict forex" or "predict bitcoin" and terms related to those.

Next,
I only tested papers written in the past 8 years or so, I think anything older is just going to be heavily Alpha-mined so we can probably just ignore those ones altogether.

Then,
Anything where it's slightly ambiguous with methodology, I tried every possible permutation to try and capture what the authors may have meant. For example, one paper adds engineered features to the price then says "then we ran the data through our model" - it's not clear if it means the original data or the engineered data, so I tried both ways. This happens more than you'd think!

THEN,
Anything that didn't work, I tried my own ideas with the data they were using or substituted one of their models with others that I knew of.

Now before we go any further, I should caveat that I was a profitable trader at multiple Tier-1 US banks so I can say with confidence that I made a decent attempt of building whatever the author was trying to get at.

Oh, and one more thing. All of this work took about 7 months in total.

Right, let's jump in.

So with the papers, I found as many as I could, then I read through them and put them in categories and then tested each category at a time because a lot of papers were kinda saying the same things.
Here are the categories:
Results:
Literally every single paper was either p-hacked, overfit, or a subsample of favourable data was selected (I guess ultimately they're all the same thing but still) OR a few may have had a smidge of Alpha but as soon as you add transaction costs it all disappears.
Every author that's been publicly challenged about the results of their paper says it's stopped working due to "Alpha decay" because they made their methodology public. The easiest way to test whether it was truly Alpha decay or just overfitting by the authors is just to reproduce the paper then go further back in time instead of further forwards. For the papers that I could reproduce, all of them failed regardless of whether you go back or forwards. :)

Now, results from the two most popular categories were:

The most frustrating paper:
I have true hate for the authors of this paper: "A deep learning framework for financial time series using stacked autoencoders and long-short term memory". Probably the most complex AND vague in terms of methodology and after weeks trying to reproduce their results (and failing) I figured out that they were leaking future data into their training set (this also happens more than you'd think).

The two positive take-aways that I did find from all of this research are:
  1. Almost every instrument is mean-reverting on short timelines and trending on longer timelines. This has held true across most of the data that I tested. Putting this information into a strategy would be rather easy and straightforward (although you have no guarantee that it'll continue to work in future).
  2. When we were in the depths of the great recession, almost every signal was bearish (seeking alpha contributors, news, google trends). If this holds in the next recession, just using this data alone would give you a strategy that vastly outperforms the index across long time periods.
Hopefully if anyone is getting into this space this will save you an absolute tonne of time and effort.
So in conclusion, if you're building trading strategies. Simple is good :)

Also one other thing I'd like to add, even the Godfather of value investing, the late Benjamin Graham (Warren Buffet's mentor) used to test his strategies (even though he'd be trading manually) so literally every investor needs to backtest regardless of if you're day-trading or long-term investing or building trading algorithms.
submitted by chiefkul to StockMarket [link] [comments]

I've reproduced 130+ research papers about "predicting bitcoin", coded them from scratch and recorded the results. Here's what I've learnt.

ok, so firstly,
all of the papers I found through Google search and Google scholar. Google scholar doesn't actually have every research paper so you need to use both together to find them all. They were all found by using phrases like "predict bitcoin" or "predict stock market" or "predict forex" and terms related to those.

Next,
I only tested papers written in the past 8 years or so, I think anything older is just going to be heavily Alpha-mined so we can probably just ignore those ones altogether.

Then,
Anything where it's slightly ambiguous with methodology, I tried every possible permutation to try and capture what the authors may have meant. For example, one paper adds engineered features to the price then says "then we ran the data through our model" - it's not clear if it means the original data or the engineered data, so I tried both ways. This happens more than you'd think!

THEN,
Anything that didn't work, I tried my own ideas with the data they were using or substituted one of their models with others that I knew of.

Now before we go any further, I should caveat that I was a profitable trader at multiple Tier-1 US banks so I can say with confidence that I made a decent attempt of building whatever the author was trying to get at.

Oh, and one more thing. All of this work took about 7 months in total.

Right, let's jump in.

So with the papers, I found as many as I could, then I read through them and put them in categories and then tested each category at a time because a lot of papers were kinda saying the same things.

Here are the categories:

Results:
Literally every single paper was either p-hacked, overfit, or a subsample of favourable data was selected (I guess ultimately they're all the same thing but still) OR a few may have had a smidge of Alpha but as soon as you add transaction costs it all disappears.

Every author that's been publicly challenged about the results of their paper says it's stopped working due to "Alpha decay" because they made their methodology public. The easiest way to test whether it was truly Alpha decay or just overfitting by the authors is just to reproduce the paper then go further back in time instead of further forwards. For the papers that I could reproduce, all of them failed regardless of whether you go back or forwards. :)

Now, results from the two most popular categories were:

The most frustrating paper:
I have true hate for the authors of this paper: "A deep learning framework for financial time series using stacked autoencoders and long-short term memory". Probably the most complex AND vague in terms of methodology and after weeks trying to reproduce their results (and failing) I figured out that they were leaking future data into their training set (this also happens more than you'd think).

The two positive take-aways that I did find from all of this research are:
  1. Almost every instrument is mean-reverting on short timelines and trending on longer timelines. This has held true across most of the data that I tested. Putting this information into a strategy would be rather easy and straightforward (although you have no guarantee that it'll continue to work in future).
  2. When we were in the depths of the great recession, almost every signal was bearish (seeking alpha contributors, news, google trends). If this holds in the next recession, just using this data alone would give you a strategy that vastly outperforms the index across long time periods.

Hopefully if anyone is getting into this space this will save you an absolute tonne of time and effort.

So in conclusion, if you're building trading strategies, simple is good :)

Also one other thing I'd like to add, even the Godfather of value investing, the late Benjamin Graham (Warren Buffet's mentor) used to test his strategies (even though he'd be trading manually) so literally every investor needs to backtest regardless of if you're day-trading or long-term investing or building trading algorithms.


EDIT: in case anyone wants to read more from me I occasionally write on medium (even though I'm not a good writer)
submitted by chiefkul to CryptoCurrency [link] [comments]

Wall Street Week Ahead for the trading week beginning July 22nd, 2019

Good morning and happy Saturday to all of you here on wallstreetbets. I hope everyone on this subreddit 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 July 22nd, 2019.

Week ahead: Earnings, GDP expected to show sluggish growth as investors await rate cut - (Source)

Sluggish economic and earnings growth will be a theme in markets in the week ahead, as investors await a Fed interest rate cut at the end of the month.
More than a quarter of the S&P 500 companies report earnings in the coming week, the second big week of the second quarter reporting season. FAANG names, like Alphabet and Amazon, and blue chips from McDonald’s to Boeingand United Technologies are among the more than 130 companies reporting.
There is also some key economic data, including Friday’s second quarter GDP, which should show a slowing to 1.8% from the first quarter’s 3.1% pace, according to Refinitiv. On Thursday, durable goods are reported and will include an update on businesses investment. There are also existing home sales Tuesday, new home sales Wednesday and advance economic indicators Thursday.
But there will be no Fed speakers, after a parade of central bank officials in the past week, including Fed Chair Jerome Powell. The most impactful comments, however, came Thursday from New York Fed President John Williams, who set off a debate about how much the Fed could cut rates at its July 30-31 meeting — 25 or 50 basis points.
Even as the New York Fed later said Williams comments were not about current policy, market pros took heed of his words about how central bankers should “act quickly.”
Fed dominates Fed officials do not speak publicly in the days ahead of policy meetings, but market pros will find plenty to debate. Fed funds futures were predicting a 43% chance of a 50 basis point cut in July, after shooting as high as 70% Thursday afternoon.
“For sure, the Fed is going to dominate for next week. I think we’ll get at least a 25 basis point cut. I’m thinking we’re not going to get 50 basis point cut...The Fed has been burned when it’s been bold,” said Tony Roth, chief investment officer at Wilmington Trust.
Roth said he believes the market is already pricing in a quarter-point cut, and he does not see the Fed’s rate cut as much of a longer-term catalyst for stocks. If it trims by a half percentage point, he expects just a short-term pop.
Economists believe the Fed will cut interest rates even though recent data has improved. That’s in part because Powell has stressed the Fed is focused on the global economic slowdown, trade wars and low inflation, and that it will do what it takes to keep the economy expanding.
“The only real catalyst that would really help the market would be if there was a trade deal with China,” Roth said. “I think the likelihood of that is less than > 10%. We’re very pessimistic on the possibility of a real deal with China prior to the [2020 presidential] election.”
So, in the void ahead of the Fed’s meeting, the market will be watching earnings. As earnings rolled out this past week, stocks took a rest from their record-setting streak, as some companies lowered forecasts and most beat earnings and revenue estimates.
As of Friday morning, 77% of the roughly 80 companies reporting had beaten earnings estimates, and 65% topped revenue forecasts, according to Refinitiv. Based on actual reports and forecasts, earnings per share for the S&P companies are expected to be up 1% in the second quarter. That is up from expectations that the profit growth would be slightly negative this quarter.
“If you look at the numbers, we’re above the averages for top and bottom line beats, but at the same time when you look at revisions, every day we’re getting revisions for third and fourth quarter, and they’re coming down.There’s a real worry of an earnings recession, when you get out into the third and fourth quarter and out to next year,” Roth said.
Roth said he’s currently neutral on risk assets, and he sees a slowdown brewing in the smallest U.S. companies that could spread up the food chain.
“We do see those fundamental cracks in the economy in small business and the small business labor market, and on top of that you have these big macro risks out there,” such as trade and the upcoming election, Roth said.
Slower economy As earnings growth was muted in the second quarter, so was the pace of economic gains. If growth comes in as expected, it would be the first quarter where growth was under 2% since the first quarter of 2017. Economists are watching to see how consumer spending fared in the quarter, after a recent pickup and also whether business inventories are declining.
“The data we need is not Q2. What’s at risk is the growth and magnitude of the Fed rate cut. I don’t think Q2 is going to have much impact on the Fed’s thinking,” said Marc Chandler, chief market strategist at Bannockburn Global Forex. “It’s really how Q3 is progressing. It seems to me the economy softened in April and May and picked up in June with jobs data, retail sales and manufacturing sector.”
Chandler said investors will also be focused on the European Central Bank, which some economists believe could cut its overnight deposit rate to negative 0.5% from negative 0.4% currently when it meets Thursday. Chandler said odds are about 50% for the rate cut, which many also expect in September.
“While we’re waiting for the Fed to figure out whether it’s 25 or 50 basis points, and we’re waiting for the ECB to get all its forms sorted out ... the emerging markets are pushing ahead,” said Chandler, noting Russia and Turkey could cut rates in the next several days, after similar moves in the past week by South Africa, South Korea and Indonesia.
“It just makes the story more global. You’re seeing the trade numbers from China, Japan, Singapore and South Korea weaken. You’re seeing exports form China suffer. Exports from all of Asia are suffering,” he said. “The big surprise for China and Japan has also been on the import side. The declines in their imports is really someone else’s [drop in] exports.”
Rate cuts and currency wars Dollar strength has been a consequence of the trade war, and Fed action could help turn it around.
“If the Fed fails to move, you’re going to end up with an increasingly stronger dollar,” which impacts corporate earnings, Roth said.
“The dollar is quite strong and is increasingly going to be a headwind for U.S. companies. It hasn’t appreciated that much in 12 months, but if we see a divergence in monetary policy between the U.S. and the rest of the world, you would see a carry trade develop where people would want to buy assets in the U.S.,” he said.
The dollar index was slightly higher on the week, but Wall Street has been focused on President Donald Trump’s negative comments on the currency’s strength. As Trump has criticized the Fed, he also complains that other central banks manipulate their currencies to give them an edge in trade. Trump has said the Fed should already be cutting rates, something it hasn’t done since December 2008.
A number of Wall Street strategists have said they now believe it is possible that the U.S. government could intervene to weaken the dollar, but that would be unlikely.

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!)

Sector Performance WTD, MTD, YTD:

(CLICK HERE FOR FRIDAY'S PERFORMANCE!)
(CLICK HERE FOR THE WEEK-TO-DATE PERFORMANCE!)
(CLICK HERE FOR THE MONTH-TO-DATE PERFORMANCE!)
(CLICK HERE FOR THE 3-MONTH PERFORMANCE!)
(CLICK HERE FOR THE YEAR-TO-DATE PERFORMANCE!)
(CLICK HERE FOR THE 52-WEEK PERFORMANCE!)

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 next month:

(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!)
(CLICK HERE FOR THE CHART LINK #3!)

Lagging Small-caps: Seasonal and Economic Factors Weigh

Small-caps measured by the performance of the Russell 2000 have been lagging since mid-March with the gap in performance widening in June and continuing into July. At yesterday’s close the Russell 2000 was up 15.35% year-to-date compared to a gain of 19.87% for the Russell 1000. Based upon historical trends this is not unusual for this time of the year nor during times when U.S. economic data is mixed.
In the following chart the one-year seasonal pattern of the Russell 2000/Russell 1000 has been plotted (solid black line with grey fill) along with 2019 year-to-date (blue line). This chart is similar to the chart found on page 110 of the 2019 Stock Trader’s Almanac. When the lines are rising small-caps are outperforming, when the lines are falling small-caps are lagging. Small-caps exhibited typical seasonal strength during the first quarter but have been fading ever since. In some years, small-cap strength can last until mid-June however, that is not the case this year. Going forward, small-cap underperformance is likely to persist until early in the fourth quarter with possible a hint of strength at the end of August.
(CLICK HERE FOR THE CHART!)

Robust Summer Rallies Trim Fall Pullbacks

It’s usually about this time of the year, when trading volumes begin to slump and markets meander that we begin to hear talk of the infamous “Summer Rally” featured on page 74 of the Stock Trader’s Almanac 2019. The “Summer Rally” is usually the weakest seasonal rally of them all.
We looked at the current Summer Rally and found it to be above average already, up 10.2% from the Spring low on May 31, and that does portend well for the Summer and Fall Corrections. We lined up the Summer Rallies ranked from weakest to strongest since 1964. Over the past 55 years prior to this year DJIA has rallied and average of 9.1% from its May/June low until its Q3 high. The Fall Rally averages 10.9% and the Summer and Fall Corrections average a loss of just under 9% for a net average gain of a few percentage points over the summer and fall.
As shown in the table below, when the Summer Rally is greater than or equal to the 55-year 9.1% average, the summer and fall correction tend to be bit milder, -6.2% and -8.2%, respectively. Summer Rally gains beyond 12.5% historically had the smallest summer and fall corrections. One prominent exception being 1987.
(CLICK HERE FOR THE CHART!)

Earnings (and Guidance) Likely to Make or Break the Rally

Once again today, DJIA, S&P 500 and NASDAQ closed at new all-time highs. With today’s modest gains, DJIA is up 17.3% year-to-date. S&P 500 is even better at 20.2% while NASDAQ is still best at 24.5%. Compared to historical average performance in pre-election years at this time of the year, DJIA and S&P 500 are comfortably above average. NASDAQ’s impressive 24.5% gain is just average (since 1971). NASDAQ’s Midyear Rally delivered again, but officially ended last Friday. The seasonal pattern charts, above and below, along with July’s typical performance over the last 21 years suggest further gains during the balance of July and the third quarter could be limited. For the market to make meaningful gains in the near-term earnings will need to decent and forward guidance will also need to be firm.
(CLICK HERE FOR THE CHART!)
(CLICK HERE FOR THE CHART!)
(CLICK HERE FOR THE CHART!)

"We Don't Need Your Stinking Data"

Yesterday was another one of those days that makes you scratch your head. In a relatively busy day for economic data, Initial Jobless Claims came in within 25K of a 50-year low, and the Philly Fed Manufacturing report saw its largest m/m increase in a decade. That follows other data last week where Retail Sales were very strong and CPI and PPI both came in ahead of consensus forecasts. The trend of better than expected data since the June employment report on July 5th is reflected in recent moves of the Citi Economic Surprise Index which has rallied from -68.3 up to -41.5. Granted, it’s still negative, but what was looking like a real dismal backdrop for the economy just three weeks ago seems to be showing signs of improvement.
(CLICK HERE FOR THE CHART!)
On top of the economic data, two notable interviews from FOMC officials Williams from New York and Vice Chair Clarida moved markets. Given the strong tone of economic data, one would expect both officials to try and tone down rising market expectations regarding any aggressive policy moves at the July meeting. Well, markets don’t always make sense.
In their respective interviews, both Williams and Clarida not only didn’t tone down expectations, but they added fuel to the fire. Williams noted that “it pays to act quickly to lower rates" and "vaccinate” the economy "against further ills." Clarida was even more direct when he said that “Research shows you act preemptively when you can.” In other words, the data-dependent Fed is casting the data aside and ready to move anyway. In his interview on Fox Business, Clarida almost got a chuckle when asked whether there was any chance the Fed wouldn’t cut rates in July.
The dovish turn from the Fed was immediately reflected in market expectations for rate policy at the July meeting. Back in June, market expectations for a 50 basis points (bps) cut at the next meeting peaked out at under 50%. Then, in the days following the June employment report, expectations dropped all the way down to 3%. In the last ten days, though, the trend has completely reversed, and as of yesterday’s close topped out at 71% versus just a 29% chance for a 25 bps cut. Probabilities for a 50 bps cut came in a bit overnight but are still at about 50/50. Yesterday alone, though, expectations for a 25 bps cut and a 50 bps cut more than completely reversed from the prior day, and remember, that’s after what was a good day of economic data! Can you imagine what expectations would be like if the data was actually bad?
(CLICK HERE FOR THE CHART!)

US Beats World When It Comes to Stocks

The Bloomberg World index is a cap-weighted index made up of nearly 5,000 stocks from around the world (including US stocks). While the S&P 500 has been hitting new all-time highs over the last week, the Bloomberg World index remains 7% below highs that it last made back in January 2018.
(CLICK HERE FOR THE CHART!)
Below is a chart showing the ratio of the S&P 500 to the Bloomberg World index since the World index's inception back in August 2003. While the World index outperformed the US for five years in the mid-2000s, the US has been outperforming since the end of 2007, which includes both the Financial Crisis and the bull market that has been in place since the 2009 lows.
(CLICK HERE FOR THE CHART!)
Along with the relative strength chart between the two indices above, below we show the price change of the S&P 500 versus the Bloomberg World index since August 2003. Through today, the S&P was up 203% versus a gain of 142% for the Bloomberg World index.
(CLICK HERE FOR THE CHART!)
Since the November 2016 election, the S&P 500 is up 40% versus a gain of 26% for the Bloomberg World index. Notably, the World index kept up with the S&P through early 2018, but weakness for the World index in mid-2018 and a failure to bounce back as much as the US this year has left the World index well behind.
(CLICK HERE FOR THE CHART!)

Best Performing Stocks Over the Last 12 Months

The S&P 500 is up over 20% YTD, but over the last 12 months, it is up just under 10% on a total return basis. And within the S&P 1500, there are only 44 stocks that are up more than 50% on a total return basis over the last 12 months. These 44 stocks are listed below.
Innovative Industrials (IIPR) -- a cannabis REIT -- has been the best performing stock in the S&P 1500 over the last year with a total return of 302%. In second place is eHealth (EHTH) with a gain of 269%, followed by Avon Products (AVP) at +174.8% and Coca-Cola Bottling (COKE) at +128.58%. Coca-Cola Bottling is probably one of the last names you would have guessed as a top five performer over the last year! Other notables on the list of biggest winners include Advanced Micro (AMD), LendingTree (TREE), Starbucks (SBUX), AutoZone (AZO), Chipotle (CMG), Hershey (HSY), and Procter & Gamble (PG).
Some names that aren't on the list that you may have expected to see? AMZN, NFLX, MSFT? Nope. None of the mega-cap Tech companies are on the list of biggest winners due to serious weakness from this group in Q4 2018.
(CLICK HERE FOR THE CHART!)

2% Days Few and Far Between

Although the last two trading days have seen exceptionally narrow daily ranges, today we wanted to take a quick look at the S&P 500's frequency of 2% daily moves (either up or down) in the post-WWII period. The chart below breaks out the frequency of 2% days by year, and years with more than 25 one-day moves of 2% are notated accordingly.
Overall, there have been an average of 11 daily 2% moves in a given year. After five straight years from 2007 to 2011 where we saw an above-average number of 2% days, the last seven years have only seen one year with an above-average number of occurrences (2018, 21). Remember, in 2017 there wasn't one single trading day that saw the S&P move up or down 2%!
So far this year, there have only been four 2% days, but with the most volatile part of the year on tap, we are likely to see that number increase in the months ahead. Don't expect the relative calm that we have seen in the last few trading days to last forever. Volatility is unpredictable and usually comes up and surprises you when you least expect it!
(CLICK HERE FOR THE CHART!)

STOCK MARKET VIDEO: Stock Market Analysis Video for Week Ending July 19th, 2019

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

STOCK MARKET VIDEO: ShadowTrader Video Weekly 07.21.19

(CLICK HERE FOR THE YOUTUBE VIDEO!)
Here are the most notable companies (tickers) reporting earnings in this upcoming trading week ahead-
  • $FB
  • $AMZN
  • $TSLA
  • $BA
  • $T
  • $SNAP
  • $PIXY
  • $HAL
  • $TWTR
  • $KO
  • $F
  • $V
  • $LMT
  • $GOOGL
  • $INTC
  • $CAT
  • $PYPL
  • $BIIB
  • $UTX
  • $IRBT
  • $XLNX
  • $UPS
  • $ABBV
  • $CNC
  • $NOK
  • $CMG
  • $MMM
  • $RPM
  • $SBUX
  • $JBLU
  • $BMY
  • $GNC
  • $MCD
  • $CDNS
  • $CADE
  • $NOW
  • $AMTD
  • $HAS
  • $HOG
  • $ANTM
  • $WM
  • $CMCSA
  • $FCX
(CLICK HERE FOR NEXT WEEK'S MOST NOTABLE EARNINGS RELEASES!)
(CLICK HERE FOR NEXT WEEK'S HIGHEST VOLATILITY EARNINGS RELEASES!)
(CLICK HERE FOR MOST ANTICIPATED EARNINGS RELEASES FOR THE NEXT 5 WEEKS!)
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 7.22.19 Before Market Open:

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

Monday 7.22.19 After Market Close:

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

Tuesday 7.23.19 Before Market Open:

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

Tuesday 7.23.19 After Market Close:

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

Wednesday 7.24.19 Before Market Open:

(CLICK HERE FOR WEDNESDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES LINK #1!)
(CLICK HERE FOR WEDNESDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES LINK #2!)

Wednesday 7.24.19 After Market Close:

(CLICK HERE FOR WEDNESDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES LINK #1!)
(CLICK HERE FOR WEDNESDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES LINK #2!)

Thursday 7.25.19 Before Market Open:

(CLICK HERE FOR THURSDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES LINK #1!)
(CLICK HERE FOR THURSDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES LINK #2!)

Thursday 7.25.19 After Market Close:

(CLICK HERE FOR THURSDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES LINK #1!)
(CLICK HERE FOR THURSDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES LINK #2!)

Friday 7.26.19 Before Market Open:

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

Friday 7.26.19 After Market Close:

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

Amazon.com, Inc. $1,964.52

Amazon.com, Inc. (AMZN) is confirmed to report earnings at approximately 4:00 PM ET on Thursday, July 25, 2019. The consensus earnings estimate is $5.29 per share on revenue of $62.51 billion and the Earnings Whisper ® number is $5.70 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 4.34% with revenue increasing by 18.20%. Short interest has increased by 14.0% since the company's last earnings release while the stock has drifted higher by 1.8% from its open following the earnings release to be 13.0% above its 200 day moving average of $1,737.93. Overall earnings estimates have been revised lower since the company's last earnings release. On Thursday, July 11, 2019 there was some notable buying of 3,494 contracts of the $2,000.00 call expiring on Friday, August 16, 2019. Option traders are pricing in a 4.4% move on earnings and the stock has averaged a 4.0% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Facebook Inc. $198.36

Facebook Inc. (FB) is confirmed to report earnings at approximately 4:05 PM ET on Wednesday, July 24, 2019. The consensus earnings estimate is $1.90 per share on revenue of $16.45 billion and the Earnings Whisper ® number is $2.01 per share. Investor sentiment going into the company's earnings release has 82% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 9.20% with revenue increasing by 24.33%. Short interest has increased by 21.7% since the company's last earnings release while the stock has drifted higher by 0.7% from its open following the earnings release to be 20.8% above its 200 day moving average of $164.17. Overall earnings estimates have been revised higher since the company's last earnings release. On Wednesday, July 17, 2019 there was some notable buying of 16,697 contracts of the $290.00 call expiring on Friday, September 20, 2019. Option traders are pricing in a 6.5% move on earnings and the stock has averaged a 8.6% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Tesla, Inc. $258.18

Tesla, Inc. (TSLA) is confirmed to report earnings at approximately 5:15 PM ET on Wednesday, July 24, 2019. The consensus estimate is for a loss of $0.52 per share on revenue of $6.38 billion and the Earnings Whisper ® number is ($0.44) per share. Investor sentiment going into the company's earnings release has 33% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 84.80% with revenue increasing by 59.41%. Short interest has increased by 26.5% since the company's last earnings release while the stock has drifted higher by 1.2% from its open following the earnings release to be 8.1% below its 200 day moving average of $280.96. Overall earnings estimates have been revised higher since the company's last earnings release. On Tuesday, July 16, 2019 there was some notable buying of 30,445 contracts of the $50.00 put expiring on Friday, August 16, 2019. Option traders are pricing in a 7.8% move on earnings and the stock has averaged a 7.4% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Boeing Co. $377.36

Boeing Co. (BA) is confirmed to report earnings at approximately 7:30 AM ET on Wednesday, July 24, 2019. The consensus earnings estimate is $1.89 per share on revenue of $20.27 billion and the Earnings Whisper ® number is $1.91 per share. Investor sentiment going into the company's earnings release has 17% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 43.24% with revenue decreasing by 16.44%. Short interest has increased by 11.2% since the company's last earnings release while the stock has drifted lower by 0.1% from its open following the earnings release to be 4.0% above its 200 day moving average of $362.82. Overall earnings estimates have been revised lower since the company's last earnings release. On Monday, July 8, 2019 there was some notable buying of 6,176 contracts of the $325.00 put expiring on Friday, August 16, 2019. Option traders are pricing in a 3.8% move on earnings and the stock has averaged a 3.0% move in recent quarters.

(CLICK HERE FOR THE CHART!)

AT&T Corp. $32.79

AT&T Corp. (T) is confirmed to report earnings at approximately 6:50 AM ET on Wednesday, July 24, 2019. The consensus earnings estimate is $0.89 per share on revenue of $45.02 billion and the Earnings Whisper ® number is $0.90 per share. Investor sentiment going into the company's earnings release has 66% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 2.20% with revenue increasing by 15.48%. Short interest has increased by 16.4% since the company's last earnings release while the stock has drifted higher by 5.5% from its open following the earnings release to be 4.5% above its 200 day moving average of $31.37. Overall earnings estimates have been revised lower since the company's last earnings release. On Monday, July 8, 2019 there was some notable buying of 144,398 contracts of the $28.00 call expiring on Friday, January 17, 2020. Option traders are pricing in a 4.1% move on earnings and the stock has averaged a 4.5% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Snap Inc. $14.02

Snap Inc. (SNAP) is confirmed to report earnings at approximately 4:10 PM ET on Tuesday, July 23, 2019. The consensus estimate is for a loss of $0.10 per share on revenue of $358.48 million and the Earnings Whisper ® number is ($0.08) per share. Investor sentiment going into the company's earnings release has 61% expecting an earnings beat The company's guidance was for revenue of $335.00 million to $360.00 million. Consensus estimates are for year-over-year earnings growth of 9.09% with revenue increasing by 36.69%. Short interest has decreased by 3.8% since the company's last earnings release while the stock has drifted higher by 13.5% from its open following the earnings release to be 36.9% above its 200 day moving average of $10.24. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, July 5, 2019 there was some notable buying of 7,449 contracts of the $19.00 call expiring on Friday, July 26, 2019. Option traders are pricing in a 13.7% move on earnings and the stock has averaged a 19.1% move in recent quarters.

(CLICK HERE FOR THE CHART!)

ShiftPixy, Inc. $0.63

ShiftPixy, Inc. (PIXY) is confirmed to report earnings at approximately 8:00 AM ET on Monday, July 22, 2019. The consensus estimate is for a loss of $0.08 per share on revenue of $14.39 million. Investor sentiment going into the company's earnings release has 44% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 33.33% with revenue increasing by 53.48%. Short interest has decreased by 8.2% since the company's last earnings release while the stock has drifted lower by 50.9% from its open following the earnings release to be 63.8% below its 200 day moving average of $1.74. Overall earnings estimates have been revised higher since the company's last earnings release. The stock has averaged a 16.9% move on earnings in recent quarters.

(CLICK HERE FOR THE CHART!)

Halliburton Company $21.75

Halliburton Company (HAL) is confirmed to report earnings at approximately 6:45 AM ET on Monday, July 22, 2019. The consensus earnings estimate is $0.30 per share on revenue of $5.97 billion and the Earnings Whisper ® number is $0.29 per share. Investor sentiment going into the company's earnings release has 60% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 48.28% with revenue decreasing by 2.88%. Short interest has increased by 39.2% since the company's last earnings release while the stock has drifted lower by 31.6% from its open following the earnings release to be 25.7% below its 200 day moving average of $29.27. Overall earnings estimates have been revised lower since the company's last earnings release. On Tuesday, July 16, 2019 there was some notable buying of 9,264 contracts of the $20.00 put expiring on Friday, August 16, 2019. Option traders are pricing in a 5.3% move on earnings and the stock has averaged a 3.5% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Twitter, Inc. $36.77

Twitter, Inc. (TWTR) is confirmed to report earnings at approximately 7:00 AM ET on Friday, July 26, 2019. The consensus earnings estimate is $0.19 per share on revenue of $828.49 million and the Earnings Whisper ® number is $0.24 per share. Investor sentiment going into the company's earnings release has 75% expecting an earnings beat The company's guidance was for revenue of $770.00 million to $830.00 million. Consensus estimates are for earnings to decline year-over-year by 0.00% with revenue increasing by 16.60%. Short interest has increased by 9.0% since the company's last earnings release while the stock has drifted lower by 0.4% from its open following the earnings release to be 10.1% above its 200 day moving average of $33.39. Overall earnings estimates have been revised higher since the company's last earnings release. On Monday, July 15, 2019 there was some notable buying of 7,151 contracts of the $60.00 call expiring on Friday, January 15, 2021. Option traders are pricing in a 10.4% move on earnings and the stock has averaged a 12.7% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Visa Inc $179.24

Visa Inc (V) is confirmed to report earnings at approximately 4:05 PM ET on Tuesday, July 23, 2019. The consensus earnings estimate is $1.33 per share on revenue of $5.70 billion and the Earnings Whisper ® number is $1.37 per share. Investor sentiment going into the company's earnings release has 79% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 10.83% with revenue increasing by 8.78%. Short interest has decreased by 6.9% since the company's last earnings release while the stock has drifted higher by 11.7% from its open following the earnings release to be 19.5% above its 200 day moving average of $150.03. Overall earnings estimates have been revised higher since the company's last earnings release. On Tuesday, July 16, 2019 there was some notable buying of 4,839 contracts of the $165.00 put expiring on Friday, August 16, 2019. Option traders are pricing in a 3.1% move on earnings and the stock has averaged a 2.6% move in recent quarters.

(CLICK HERE FOR THE CHART!)

DISCUSS!

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

Get ready for the trading week of February 25th, 2019!

Hey what's happening wallstreetbets! Good morning and happy Saturday to all of you on this subreddit. I hope everyone made out pretty nicely in the market last week, and are ready for the new trading week ahead! :)
Here is everything you need to know to get you ready for the trading week beginning February 25th, 2019.

Next week will be pivotal for markets with trade deadline, Powell, Trump-Kim and more - (Source)

The coming week could be one of the most pivotal for the Trump White House and the markets, depending on how President Donald Trump chooses to proceed with China trade tariffs.
U.S.-China trade talks apparently have been making progress, and in a positive sign, sources said a possible meeting between Trump and Chinese President Xi Jinping is being discussed for late March. Strategists expect some eventual deal to be reached, but first and foremost, the March 2 deadline on new tariffs looms at the end of the week. For now, it looks like the deadline could be extended.
Trump, in fact, Friday reiterated that he could extend the deadline if progress is being made. He also said there was a very good chance a deal could be reached with China, and that he and Xi would make the big decisions.
The week is packed with major events that could be market moving, including two days of economic testimony from Federal Reserve Chairman Jerome Powell. He appears before the Senate Banking Committee on Tuesday, and then a House committee Wednesday for the semiannual testimony.
Trump also heads to Vietnam for a summit with North Korean leader Kim Jong Un on Wednesday and Thursday, and U.K. Prime Minister Theresa May faces another Brexit vote in parliament.
The markets are also closely watching U.S. economic data after a string of misses on manufacturing and consumer data rattled stocks in the past couple of weeks. The lack of government data during the 35-day government shutdown has made it more difficult than usual to get a handle on the economy, and some economists now see fourth-quarter and first-quarter growth running at just 2 percent or below. Fourth-quarter GDP, delayed because of the shutdown, is finally released on Thursday.

Earnings

Though earnings season is winding down, quite a few earnings releases are expected, including from retailers Home Depot, Macy'sand Nordstrom.
"To me, the biggest story next week for markets is China. Do they announce an agreement or do they at least extend the deadline? That's the one that has the most immediate market impact. The markets are pricing in good news on China next week," said Tom Block, Washington policy strategist at Fundstrat.
There were some news reports that Special Counsel Robert Mueller's report on the Trump campaign and Russia would be provided to the attorney general next week, but a Justice Department official Friday afternoon said that was not true.Whether the Trump campaign was involved with Russia or not matters much less than whether the president himself was involved.
"This is of course great for American political drama but as for the $4.3 trillion foreign exchange market or what does this mean for the value of corporate America, it's not a big deal unless there's a smoking gun, and people think Trump is going to get impeached," said Marc Chandler, chief market strategist at Bannockburn Global Forex. "Why this is important is it might paralyze other policy. … The only way it is a really big factor is if it's used as fodder to pursue further investigations that paralyze the administration like Watergate did."
Chandler said while the geopolitical events in the coming week could add to tension, they could all remain unresolved.
"We want some closure. Next week is not going to bring some closure. We're going to get extensions," said Chandler.
The uncertainty around China trade has been impacting the economic data, and business leaders have called on the White House to end the tariffs on China. The farm belt has been hurt as China retaliated against U.S. products.
Cowen analysts said the talks are nearing a "term sheet" between Chinese and U.S. trade negotiators. The memorandums are expected to touch on a half-dozen key areas, including forced technology transfers and cybertheft; intellectual property rights; opening up of Chinese financial services to U.S. companies; currency; agriculture, and nontariff barriers to trade. Those barriers include industrial subsidies, licensing procedures and other regulations.
The talks are also expected to focus on a list of 10 goods and commodities that China will buy to help narrow the trade balance. That could include an additional $30 billion per year of U.S. farm products including soybeans, corn, and wheat, the Cowen analysts said.
Fundstrat's Block said the president understands the political impact of continuing tariffs or raising them to 25 percent by March 2, as he has threatened.

Trade deadline, North Korea, Brexit

Trump has said the deadline could be extended. "The road to 270 electoral votes for Trump goes through the farm states of the Midwest. There's no road map for Trump to get 270 electoral votes if he doesn't carry all those Midwestern farm states," Block said. "China is very big for lots of reasons. …Trump's people have to figure out, at a minimum, how to extend the truce. … The biggest threat to those states is continued trade war with China focused on agricultural products exported from the U.S."
Besides China and trade and the Mueller report, Trump plans to meet North Korean leader Kim Jong Un in Vietnam in the week ahead, and Trump has said it is not to be his last meeting with Kim. The U.S. and North Korea are expected to seek a common understanding of what is expected in denuclearization, and Trump is expected to push Kim to give up his nuclear ambitions.
Block said it's unclear what will come of those talks. "Trump overstates what he does, but the world is a little safer with us talking with North Korea rather than saber rattling with North Korea. That seems to be Trump's approach. Regardless of what his thought process is, the net result is better than not doing it," said Block.
Investors are also looking to Europe where the U.K. Parliament votes on a no-deal Brexit, which critics say would disrupt trade and commerce .
Prime Minister Theresa May continues to push for Britain's exit from the European Union on March 29. On Wednesday, there will be a vote on an amendment that would give the House of Commons the power to block a no-exit deal if May has not secured the approval by Parliament for a revised Brexit deal by the middle of March.
"They're trying to force her to give up the no deal exit. The EU is expecting a request for a 60-day extension," said Chandler.

Economic data

As for U.S. data, reports on personal income and spending are coming on Friday and fourth-quarter GDP on Thursday. December's disappointing durable goods data showed slower business spending, so analysts are watching closely to see whether there was any improvement in consumer spending.
"The U.S. growth slowdown is seen intensifying in the first quarter too. We forecast U.S. GDP growth at a modest 1.5% annual rate in Q1. Slowing global manufacturing activity, tighter financial conditions, sluggish business equipment spending, and lackluster federal government spending (due in part to the government shutdown in January) are all contributing to the weakest quarter for U.S. growth in two years," wrote Scott Anderson, chief economist at Bank of the West.
Anderson expects fourth-quarter growth at 2.2 percent. He also said if uncertainties in the U.S. around China trade talks and the Brexit negotiations go away, there is a good chance U.S. economic growth will bounce back in the second quarter.
"I should note this is our base case forecast, as none of the parties involved in the negotiations want to see the worst case outcomes realized. If for some reason either of the negotiations go seriously off-track, however, the 2019 U.S. and global economic outlook will become considerably bleaker," he wrote.

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!)

Sector Performance WTD, MTD, YTD:

(CLICK HERE FOR FRIDAY'S PERFORMANCE!)
(CLICK HERE FOR THE WEEK-TO-DATE PERFORMANCE!)
(CLICK HERE FOR THE MONTH-TO-DATE PERFORMANCE!)
(CLICK HERE FOR THE 3-MONTH PERFORMANCE!)
(CLICK HERE FOR THE YEAR-TO-DATE PERFORMANCE!)
(CLICK HERE FOR THE 52-WEEK PERFORMANCE!)

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 CHART LINK #1!)
(CLICK HERE FOR CHART LINK #2!)
(CLICK HERE FOR CHART LINK #3!)

Pre-Election Year March: Small-Caps Perfect 10 for 10

Turbulent March markets tend to drive prices up early in the month and batter stocks at month end. Julius Caesar failed to heed the famous warning to “beware the Ides of March” but investors have been served well when they have. Stock prices have a propensity to decline, sometimes rather precipitously, during the latter days of the month. In March 2001, DJIA plunged 1469 points (-11.8%) from March 9 to the 22.
Normally a decent performing market month, March performs even better in pre-election years (see Vital Statistics table below). In pre-election years March ranks: 4th best for DJIA, S&P 500, NASDAQ and Russell 1000 (January, April and December are better). Pre-election year March rank #3 for Russell 2000. Pre-election year March has been up 13 out of the last 14 for DJIA. In fact, since inception in 1979, the Russell 2000 has a perfect, 10-for-10 winning record.
(CLICK HERE FOR THE CHART!)

When Is Overbought Bullish?

What more can we say about the amazing rebound of the stock market since December 24? For the first time since 1997, the S&P 500 Index is up more than 10% for the year through this point in February. Of course, it was the worst December for stocks since the Great Depression—making a larger bounce possible—but the rebound over the past two months has been historic.
That begs the question: What does it mean when stocks are overbought on many short-term levels? “Yes, stocks are quite extended near -term,” explained LPL Senior Market Strategist Ryan Detrick, “but historically, extended markets have tended to deliver continued outperformance over the next several months.”
We can see this by looking at the number of stocks in the S&P 500 that are above their 50-day moving average and the subsequent performance of the index. That number recently cleared 90%, which was one of the highest readings ever. And after 90% of stocks in the S&P 500 go above their 50-day moving average, their 1-, 3-, and 6-month returns actually have shown continued strength. In fact, as the LPL Chart of the Day shows, three months after hitting that 90% mark, the S&P 500 has been higher 12 of the previous 13 times going back to 1990.
(CLICK HERE FOR THE CHART!)
This tells us the easy part of the recent rally is over, and we do see reasons to expect some type of consolidation or well-deserved pullback at some point, but we still think the stage is potentially set for new highs later this year.

More Good News

As this week’s Weekly Market Commentary suggested, over the near term equities appear quite stretched, but overall we continue to think the bull market has plenty of life left. Today, we’ll take a look at market breadth—one of our favorite technical indicators—to explore whether it may be pointing to better times ahead for equities.
Market breadth measures how many stocks are participating in the movement of broader indexes. One of the easiest ways to measure this is via advance/decline (A/D) lines on various exchanges. An A/D line is a ratio of how many stocks go up versus down each day. The thinking is, if gains are caused by increases in many stocks, then there are plenty of buyers and the upward trend should likely continue, all else equal. On the other hand, if an upward move in a broad market gauge is driven by relatively few stocks, this can be a warning sign of cracks in the bull’s armor.
Today’s LPL Chart of the Day shows that the NYSE Common Stock Only A/D line has broken out to a new all-time high. “This is another clue to market participants that things are actually quite healthy under the surface. When advance/decline lines are breaking out to new highs, history tells us that stocks usually aren’t too far behind,” explained LPL Senior Market Strategist Ryan Detrick.
(CLICK HERE FOR THE CHART!)

Broad Based Breadth

One aspect of the rally in stocks this year that we can’t stress enough is how strong breadth has been. Besides the fact that the equal-weighted S&P 500 is outperforming the market cap weighted index by close to three percentage points YTD, the vast majority of S&P 500 Industry Groups are also either right at or very close to YTD highs. The table below lists S&P 500 Industry Groups that, along with the S&P 500, hit YTD highs so far today. Of the 60 Industry Groups, 26 hit YTD highs today and five of them are already up 20% YTD!
(CLICK HERE FOR THE CHART!)
In addition to the 26 Industry Groups above, another 16 Industry Groups traded within 1% of a YTD high today and three of those are also up over 20% YTD. Adding both lists together, 70% of S&P 500 Industry Groups either traded at or came within 1% of hitting a YTD high this morning. That’s broad!
(CLICK HERE FOR THE CHART!)

STOCK MARKET VIDEO: Stock Market Analysis Video for February 22nd, 2019

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

STOCK MARKET VIDEO: ShadowTrader Video Weekly 2.24.19 - Rebull Without a Pause

(CLICK HERE FOR THE YOUTUBE VIDEO!)
Here are the most notable companies (tickers) reporting earnings in this upcoming trading week ahead-
  • $SQ
  • $HD
  • $CHK
  • $ETSY
  • $JD
  • $M
  • $MDR
  • $PCG
  • $FIT
  • $AMRN
  • $LOW
  • $JCP
  • $WTW
  • $KOS
  • $PANW
  • $BKNG
  • $ABB
  • $BBY
  • $SPLK
  • $VEEV
  • $AZO
  • $TEX
  • $TRXC
  • $SHAK
  • $NTNX
  • $ECA
  • $JT
  • $WDAY
  • $CRI
  • $DNR
  • $TNDM
  • $AWI
  • $DORM
  • $GWPH
  • $HTZ
  • $TREE
  • $PLAN
  • $NSA
  • $ICPT
  • $FLXN
  • $BNS
  • $CROX
  • $RRC
(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 2.25.19 Before Market Open:

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

Monday 2.25.19 After Market Close:

(CLICK HERE FOR MONDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES LINK #1!)
(CLICK HERE FOR MONDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES LINK #2!)

Tuesday 2.26.19 Before Market Open:

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

Tuesday 2.26.19 After Market Close:

(CLICK HERE FOR TUESDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES LINK #1!)
(CLICK HERE FOR TUESDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES LINK #2!)

Wednesday 2.27.19 Before Market Open:

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

Wednesday 2.27.19 After Market Close:

(CLICK HERE FOR WEDNESDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES LINK #1!)
(CLICK HERE FOR WEDNESDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES LINK #2!)

Thursday 2.28.19 Before Market Open:

(CLICK HERE FOR THURSDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES LINK #1!)
(CLICK HERE FOR THURSDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES LINK #2!)

Thursday 2.28.19 After Market Close:

(CLICK HERE FOR THURSDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES LINK #1!)
(CLICK HERE FOR THURSDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES LINK #2!)

Friday 3.1.19 Before Market Open:

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

Friday 3.1.19 After Market Close:

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

Square, Inc. $76.08

Square, Inc. (SQ) is confirmed to report earnings at approximately 4:05 PM ET on Wednesday, February 27, 2019. The consensus earnings estimate is $0.13 per share on revenue of $908.21 million and the Earnings Whisper ® number is $0.16 per share. Investor sentiment going into the company's earnings release has 80% expecting an earnings beat The company's guidance was for earnings of $0.12 to $0.13 per share on revenue of $895.00 million to $905.00 million. Consensus estimates are for year-over-year earnings growth of 62.50% with revenue increasing by 47.43%. Short interest has increased by 8.9% since the company's last earnings release while the stock has drifted lower by 4.2% from its open following the earnings release to be 8.3% above its 200 day moving average of $70.25. Overall earnings estimates have been revised lower since the company's last earnings release. On Wednesday, February 13, 2019 there was some notable buying of 5,812 contracts of the $75.00 put and 5,392 contracts of the $75.00 call expiring on Thursday, April 18, 2019. Option traders are pricing in a 8.4% move on earnings and the stock has averaged a 4.5% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Home Depot, Inc. $192.39

Home Depot, Inc. (HD) is confirmed to report earnings at approximately 6:00 AM ET on Tuesday, February 26, 2019. The consensus earnings estimate is $2.16 per share on revenue of $26.56 billion and the Earnings Whisper ® number is $2.21 per share. Investor sentiment going into the company's earnings release has 76% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 27.81% with revenue increasing by 11.21%. Short interest has decreased by 13.1% since the company's last earnings release while the stock has drifted higher by 8.5% from its open following the earnings release to be 2.2% above its 200 day moving average of $188.29. Overall earnings estimates have been revised lower since the company's last earnings release. On Tuesday, February 12, 2019 there was some notable buying of 11,051 contracts of the $165.00 put expiring on Friday, March 15, 2019. Option traders are pricing in a 3.6% move on earnings and the stock has averaged a 1.1% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Chesapeake Energy Corp. $2.60

Chesapeake Energy Corp. (CHK) is confirmed to report earnings at approximately 7:00 AM ET on Wednesday, February 27, 2019. The consensus earnings estimate is $0.17 per share on revenue of $1.04 billion and the Earnings Whisper ® number is $0.20 per share. Investor sentiment going into the company's earnings release has 71% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 43.33% with revenue decreasing by 58.71%. Short interest has increased by 117.9% since the company's last earnings release while the stock has drifted lower by 22.2% from its open following the earnings release to be 33.4% below its 200 day moving average of $3.91. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, January 11, 2019 there was some notable buying of 5,346 contracts of the $7.00 call expiring on Friday, January 15, 2021. Option traders are pricing in a 14.4% move on earnings and the stock has averaged a 8.6% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Etsy, Inc. $56.67

Etsy, Inc. (ETSY) is confirmed to report earnings at approximately 4:05 PM ET on Monday, February 25, 2019. The consensus earnings estimate is $0.26 per share on revenue of $194.88 million and the Earnings Whisper ® number is $0.28 per share. Investor sentiment going into the company's earnings release has 75% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 73.33% with revenue increasing by 43.01%. Short interest has increased by 2.6% since the company's last earnings release while the stock has drifted higher by 22.6% from its open following the earnings release to be 25.1% above its 200 day moving average of $45.29. Overall earnings estimates have been revised higher since the company's last earnings release. On Tuesday, February 5, 2019 there was some notable buying of 2,590 contracts of the $55.00 put expiring on Friday, March 15, 2019. Option traders are pricing in a 11.6% move on earnings and the stock has averaged a 10.9% move in recent quarters.

(CLICK HERE FOR THE CHART!)

JD.com, Inc. $25.95

JD.com, Inc. (JD) is confirmed to report earnings at approximately 5:25 AM ET on Thursday, February 28, 2019. The consensus estimate is for a loss of $0.04 per share on revenue of $19.15 billion and the Earnings Whisper ® number is ($0.02) per share. Investor sentiment going into the company's earnings release has 60% expecting an earnings beat. Consensus estiamtes are for year-over-year revenue growth of 13.10%. Short interest has increased by 25.4% since the company's last earnings release while the stock has drifted higher by 15.6% from its open following the earnings release to be 9.9% below its 200 day moving average of $28.80. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, February 15, 2019 there was some notable buying of 17,853 contracts of the $30.00 call expiring on Thursday, April 18, 2019. Option traders are pricing in a 7.9% move on earnings and the stock has averaged a 4.4% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Macy's, Inc. $24.06

Macy's, Inc. (M) is confirmed to report earnings at approximately 8:00 AM ET on Tuesday, February 26, 2019. The consensus earnings estimate is $2.65 per share on revenue of $8.46 billion and the Earnings Whisper ® number is $2.60 per share. Investor sentiment going into the company's earnings release has 28% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 6.03% with revenue decreasing by 2.38%. Short interest has decreased by 12.4% since the company's last earnings release while the stock has drifted lower by 31.6% from its open following the earnings release to be 28.4% below its 200 day moving average of $33.59. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, February 22, 2019 there was some notable buying of 3,804 contracts of the $24.50 call expiring on Friday, March 1, 2019. Option traders are pricing in a 10.0% move on earnings and the stock has averaged a 9.8% move in recent quarters.

(CLICK HERE FOR THE CHART!)

McDermott International Inc. $7.74

McDermott International Inc. (MDR) is confirmed to report earnings at approximately 7:30 AM ET on Monday, February 25, 2019. The consensus earnings estimate is $0.21 per share on revenue of $2.70 billion and the Earnings Whisper ® number is $0.18 per share. Investor sentiment going into the company's earnings release has 62% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 110.00% with revenue increasing by 275.99%. Short interest has increased by 9.7% since the company's last earnings release while the stock has drifted lower by 15.0% from its open following the earnings release to be 48.2% below its 200 day moving average of $14.94. Overall earnings estimates have been revised lower since the company's last earnings release. On Wednesday, February 20, 2019 there was some notable buying of 22,689 contracts of the $8.00 call expiring on Friday, May 17, 2019. Option traders are pricing in a 17.4% move on earnings and the stock has averaged a 25.9% move in recent quarters.

(CLICK HERE FOR THE CHART!)

PG&E Corp. $18.77

PG&E Corp. (PCG) is confirmed to report earnings at approximately 8:45 AM ET on Thursday, February 28, 2019. The consensus earnings estimate is $0.62 per share on revenue of $4.29 billion. Investor sentiment going into the company's earnings release has 18% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 1.59% with revenue increasing by 4.63%. Short interest has increased by 122.1% since the company's last earnings release while the stock has drifted lower by 60.9% from its open following the earnings release to be 47.6% below its 200 day moving average of $35.85. Overall earnings estimates have been revised lower since the company's last earnings release. On Thursday, January 24, 2019 there was some notable buying of 10,702 contracts of the $20.00 call expiring on Friday, January 17, 2020. Option traders are pricing in a 11.5% move on earnings and the stock has averaged a 2.1% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Fitbit, Inc. $6.70

Fitbit, Inc. (FIT) is confirmed to report earnings at approximately 4:05 PM ET on Wednesday, February 27, 2019. The consensus earnings estimate is $0.07 per share on revenue of $567.68 million and the Earnings Whisper ® number is $0.08 per share. Investor sentiment going into the company's earnings release has 80% expecting an earnings beat The company's guidance was for earnings of at least $0.07 per share on revenue of at least $560.00 million. Consensus estimates are for year-over-year earnings growth of 200.00% with revenue decreasing by 0.54%. Short interest has decreased by 27.1% since the company's last earnings release while the stock has drifted higher by 22.3% from its open following the earnings release to be 9.2% above its 200 day moving average of $6.13. Overall earnings estimates have been revised higher since the company's last earnings release. On Tuesday, February 5, 2019 there was some notable buying of 6,274 contracts of the $6.50 call expiring on Friday, March 1, 2019. Option traders are pricing in a 14.7% move on earnings and the stock has averaged a 13.0% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Amarin Corporation plc $19.87

Amarin Corporation plc (AMRN) is confirmed to report earnings at approximately 5:00 AM ET on Wednesday, February 27, 2019. The consensus estimate is for a loss of $0.08 per share on revenue of $74.45 million and the Earnings Whisper ® number is ($0.08) per share. Investor sentiment going into the company's earnings release has 71% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 0.00% with revenue increasing by 38.21%. Short interest has increased by 15.4% since the company's last earnings release while the stock has drifted lower by 4.8% from its open following the earnings release to be 89.6% above its 200 day moving average of $10.48. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, February 22, 2019 there was some notable buying of 35,406 contracts of the $20.00 call expiring on Thursday, April 18, 2019. Option traders are pricing in a 17.3% move on earnings and the stock has averaged a 4.6% move in recent quarters.

(CLICK HERE FOR THE CHART!)

DISCUSS!

What are you all watching for in this upcoming trading week ahead?
Have a fantastic weekend and a great trading week ahead to everyone here on wallstreetbets! :)
submitted by bigbear0083 to wallstreetbets [link] [comments]

Finding Trading Edges: Where to Get High R:R trades and Profit Potential of Them.

Finding Trading Edges: Where to Get High R:R trades and Profit Potential of Them.
TL;DR - I will try and flip an account from $50 or less to $1,000 over 2019. I will post all my account details so my strategy can be seen/copied. I will do this using only three or four trading setups. All of which are simple enough to learn. I will start trading on 10th January.
----
As I see it there are two mains ways to understand how to make money in the markets. The first is to know what the biggest winners in the markets are doing and duplicating what they do. This is hard. Most of the biggest players will not publicly tell people what they are doing. You need to be able to kinda slide in with them and see if you can pick up some info. Not suitable for most people, takes a lot of networking and even then you have to be able to make the correct inferences.
Another way is to know the most common trades of losing traders and then be on the other side of their common mistakes. This is usually far easier, usually everyone knows the mind of a losing trader. I learned about what losing traders do every day by being one of them for many years. I noticed I had an some sort of affinity for buying at the very top of moves and selling at the very bottom. This sucked, however, is was obvious there was winning trades on the other side of what I was doing and the adjustments to be a good trader were small (albeit, tricky).
Thus began the study for entries and maximum risk:reward. See, there have been times I have bought aiming for a 10 pip scalps and hit 100 pips stops loss. Hell, there have been times I was going for 5 pips and hit 100 stop out. This can seem discouraging, but it does mean there must be 1:10 risk:reward pay-off on the other side of these mistakes, and they were mistakes.
If you repeatedly enter and exit at the wrong times, you are making mistakes and probably the same ones over and over again. The market is tricking you! There are specific ways in which price moves that compel people to make these mistakes (I won’t go into this in this post, because it takes too long and this is going to be a long post anyway, but a lot of this is FOMO).
Making mistakes is okay. In fact, as I see it, making mistakes is an essential part of becoming an expert. Making a mistake enough times to understand intrinsically why it is a mistake and then make the required adjustments. Understanding at a deep level why you trade the way you do and why others make the mistakes they do, is an important part of becoming an expert in your chosen area of focus.
I could talk more on these concepts, but to keep the length of the post down, I will crack on to actual examples of trades I look for. Here are my three main criteria. I am looking for tops/bottoms of moves (edge entries). I am looking for 1:3 RR or more potential pay-offs. My strategy assumes that retail trades will lose most of the time. This seems a fair enough assumption. Without meaning to sound too crass about it, smart money will beat dumb money most of the time if the game is base on money. They just will.
So to summarize, I am looking for the points newbies get trapped in bad positions entering into moves too late. From these areas, I am looking for high RR entries.
Setup Examples.
I call this one the “Lightning Bolt correction”, but it is most commonly referred to as a “two leg correction”. I call it a “Lightning Bolt correction” because it looks a bit like one, and it zaps you. If you get it wrong.

https://preview.redd.it/t4whwijse2721.png?width=1326&format=png&auto=webp&s=c9050529c6e2472a3ff9f8e7137bd4a3ee5554cc
Once I see price making the first sell-off move and then begin to rally towards the highs again, I am waiting for a washout spike low. The common trades mistakes I am trading against here is them being too eager to buy into the trend too early and for the to get stopped out/reverse position when it looks like it is making another bearish breakout. Right at that point they panic … literally one candle under there is where I want to be getting in. I want to be buying their stop loss, essentially. “Oh, you don’t want that ...okay, I will have that!”
I need a precise entry. I want to use tiny stops (for big RR) so I need to be cute with entries. For this, I need entry rules. Not just arbitrarily buying the spike out. There are a few moving parts to this that are outside the scope of this post but one of my mains ways is using a fibs extension and looking for reversals just after the 1.61% level. How to draw the fibs is something else that is outside the scope of this but for one simple rule, they can be drawn on the failed new high leg.

https://preview.redd.it/2cd682kve2721.png?width=536&format=png&auto=webp&s=f4d081c9faff49d0976f9ffab260aaed2b570309
I am looking for a few specific things for a prime setup. Firstly, I am looking for the false hope candles, the ones that look like they will reverse the market and let those buying too early get out break-even or even at profit. In this case, you can see the hammer and engulfing candle off the 127 level, then it spikes low in that “stop-hunt” sort of style.
Secondly I want to see it trading just past my entry level (161 ext). This rule has come from nothing other than sheer volume. The amount of times I’ve been stopped out by 1 pip by that little sly final low has gave birth to this rule. I am looking for the market to trade under support in a manner that looks like a new strong breakout. When I see this, I am looking to get in with tiny stops, right under the lows. I will also be using smaller charts at this time and looking for reversal clusters of candles. Things like dojis, inverted hammers etc. These are great for sticking stops under.
Important note, when the lightning bolt correction fails to be a good entry, I expect to see another two legs down. I may look to sell into this area sometimes, and also be looking for buying on another couple legs down. It is important to note, though, when this does not work out, I expect there to be continued momentum that is enough to stop out and reasonable stop level for my entry. Which is why I want to cut quick. If a 10 pips stop will hit, usually a 30 pips stop will too. Bin it and look for the next opportunity at better RR.

https://preview.redd.it/mhkgy35ze2721.png?width=1155&format=png&auto=webp&s=a18278b85b10278603e5c9c80eb98df3e6878232
Another setup I am watching for is harmonic patterns, and I am using these as a multi-purpose indicator. When I see potentially harmonic patterns forming, I am using their completion level as take profits, I do not want to try and run though reversal patterns I can see forming hours ahead of time. I also use them for entering (similar rules of looking for specific entry criteria for small stops). Finally, I use them as a continuation pattern. If the harmonic pattern runs past the area it may have reversed from, there is a high probability that the market will continue to trend and very basic trend following strategies work well. I learned this from being too stubborn sticking with what I thought were harmonic reversals only to be ran over by a trend (seriously, everything I know I know from how it used to make me lose).

https://preview.redd.it/1ytz2431f2721.png?width=1322&format=png&auto=webp&s=983a7f2a91f9195004ad8a2aa2bb9d4d6f128937
A method of spotting these sorts of M/W harmonics is they tend to form after a second spike out leg never formed. When this happens, it gives me a really good idea of where my profit targets should be and where my next big breakout level is. It is worth noting, larger harmonics using have small harmonics inside them (on lower time-frames) and this can be used for dialling in optimum entries. I also use harmonics far more extensively in ranging markets. Where they tend to have higher win rates.
Next setup is the good old fashioned double bottoms/double top/one tick trap sort of setup. This comes in when the market is highly over extended. It has a small sell-off and rallies back to the highs before having a much larger sell-off. This is a more risky trade in that it sells into what looks like trending momentum and can be stopped out more. However, it also pays a high RR when it works, allowing for it to be ran at reduced risk and still be highly profitable when it comes through.

https://preview.redd.it/1bx83776f2721.png?width=587&format=png&auto=webp&s=2c76c3085598ae70f4142d26c46c8d6e9b1c2881
From these sorts of moves, I am always looking for a follow up buy if it forms a lightning bolt sort of setup.
All of these setups always offer 1:3 or better RR. If they do not, you are doing it wrong (and it will be your stop placement that is wrong). This is not to say the target is always 1:3+, sometimes it is best to lock in profits with training stops. It just means that every time you enter, you can potentially have a trade that runs for many times more than you risked. 1:10 RR can be hit in these sorts of setups sometimes. Paying you 20% for 2% risked.
I want to really stress here that what I am doing is trading against small traders mistakes. I am not trying to “beat the market maker”. I am not trying to reverse engineer J.P Morgan’s black boxes. I do not think I am smart enough to gain a worthwhile edge over these traders. They have more money, they have more data, they have better softwares … they are stronger. Me trying to “beat the market maker” is like me trying to beat up Mike Tyson. I might be able to kick him in the balls and feel smug for a few seconds. However, when he gets up, he is still Tyson and I am still me. I am still going to be pummeled.
I’ve seen some people that were fairly bright people going into training courses and coming out dumb as shit. Thinking they somehow are now going to dominate Goldman Sachs because they learned a chart pattern. Get a grip. For real, get a fucking grip. These buzz phrases are marketeering. Realististically, if you want to win in the markets, you need to have an edge over somebody.
I don’t have edges on the banks. If I could find one, they’d take it away from me. Edges work on inefficiencies in what others do that you can spot and they can not. I do not expect to out-think a banks analysis team. I know for damn sure I can out-think a version of me from 5 years ago … and I know there are enough of them in the markets. I look to trade against them. I just look to protect myself from the larger players so they can only hurt me in limited ways. Rather than letting them corner me and beat me to a pulp (in the form of me watching $1,000 drop off my equity because I moved a stop or something), I just let them kick me in the butt as I run away. It hurts a little, but I will be over it soon.
I believe using these principles, these three simple enough edge entry setups, selectiveness (remembering you are trading against the areas people make mistakes, wait for they areas) and measured aggression a person can make impressive compounded gains over a year. I will attempt to demonstrate this by taking an account of under $100 to over $1,000 in a year. I will use max 10% on risk on a position, the risk will scale down as the account size increases. In most cases, 5% risk per trade will be used, so I will be going for 10-20% or so profits. I will be looking only for prime opportunities, so few trades but hard hitting ones when I take them.
I will start trading around the 10th January. Set remind me if you want to follow along. I will also post my investor login details, so you can see the trades in my account in real time. Letting you see when I place my orders and how I manage running positions.
I also think these same principles can be tweaked in such a way it is possible to flip $50 or so into $1,000 in under a month. I’ve done $10 to $1,000 in three days before. This is far more complex in trade management, though. Making it hard to explain/understand and un-viable for many people to copy (it hedges, does not comply with FIFO, needs 1:500 leverage and also needs spreads under half a pip on EURUSD - not everyone can access all they things). I see all too often people act as if this can’t be done and everyone saying it is lying to sell you something. I do not sell signals. I do not sell training. I have no dog in this fight, I am just saying it can be done. There are people who do it. If you dismiss it as impossible; you will never be one of them.
If I try this 10 times with $50, I probably am more likely to make $1,000 ($500 profit) in a couple months than standard ideas would double $500 - I think I have better RR, even though I may go bust 5 or more times. I may also try to demonstrate this, but it is kinda just show-boating, quite honestly. When it works, it looks cool. When it does not, I can go bust in a single day (see example https://www.fxblue.com/users/redditmicroflip).
So I may or may not try and demonstrate this. All this is, is just taking good basic concepts and applying accelerated risk tactics to them and hitting a winning streak (of far less trades than you may think). Once you have good entries and RR optimization in place - there really is no reason why you can not scale these up to do what may people call impossible (without even trying it).
I know there are a lot of people who do not think these things are possible and tend to just troll whenever people talk about these things. There used to be a time when I’d try to explain why I thought the way I did … before I noticed they only cared about telling me why they were right and discussion was pointless. Therefore, when it comes to replies, I will reply to all comments that ask me a question regarding why I think this can be done, or why I done something that I done. If you are commenting just to tell me all the reasons you think I am wrong and you are right, I will probably not reply. I may well consider your points if they are good ones. I just do not entering into discussions with people who already know everything; it serves no purpose.

Edit: Addition.

I want to talk a bit more about using higher percentage of risk than usual. Firstly, let me say that there are good reasons for risk caps that people often cite as “musts”. There are reasons why 2% is considered optimum for a lot of strategies and there are reasons drawing down too much is a really bad thing.
Please do not be ignorant of this. Please do not assume I am, either. In previous work I done, I was selecting trading strategies that could be used for investment. When doing this, my only concern was drawdown metrics. These are essential for professional money management and they are also essential for personal long-term success in trading.
So please do not think I have not thought of these sorts of things Many of the reasons people say these things can’t work are basic 101 stuff anyone even remotely committed to learning about trading learns in their first 6 months. Trust me, I have thought about these concepts. I just never stopped thinking when I found out what public consensus was.
While these 101 rules make a lot of sense, it does not take away from the fact there are other betting strategies, and if you can know the approximate win rate and pay-off of trades, you can have other ways of deriving optimal bet sizes (risk per trade). Using Kelly Criterion, for example, if the pay-off is 1:3 and there is a 75% chance of winning, the optimal bet size is 62.5%. It would be a viable (high risk) strategy to have extremely filtered conditions that looked for just one perfect set up a month, makingover 150% if it was successful.
Let’s do some math on if you can pull that off three months in a row (using 150% gain, for easy math). Start $100. Month two starts $250. Month three $625. Month three ends $1,562. You have won three trades. Can you win three trades in a row under these conditions? I don’t know … but don’t assume no-one can.
This is extremely high risk, let’s scale it down to meet somewhere in the middle of the extremes. Let’s look at 10%. Same thing, 10% risk looking for ideal opportunities. Maybe trading once every week or so. 30% pay-off is you win. Let’s be realistic here, a lot of strategies can drawdown 10% using low risk without actually having had that good a chance to generate 30% gains in the trades it took to do so. It could be argued that trading seldomly but taking 5* the risk your “supposed” to take can be more risk efficient than many strategies people are using.
I am not saying that you should be doing these things with tens of thousands of dollars. I am not saying you should do these things as long term strategies. What I am saying is do not dismiss things out of hand just because they buck the “common knowns”. There are ways you can use more aggressive trading tactics to turn small sums of money into they $1,000s of dollars accounts that you exercise they stringent money management tactics on.
With all the above being said, you do have to actually understand to what extent you have an edge doing what you are doing. To do this, you should be using standard sorts of risks. Get the basics in place, just do not think you have to always be basic. Once you have good basics in place and actually make a bit of money, you can section off profits for higher risk versions of strategies. The basic concepts of money management are golden. For longevity and large funds; learned them and use them! Just don’t forget to think for yourself once you have done that.

Update -

Okay, I have thought this through a bit more and decided I don't want to post my live account investor login, because it has my full name and I do not know who any of you are. Instead, for copying/observing, I will give demo account login (since I can choose any name for a demo).
I will also copy onto a live account and have that tracked via Myfxbook.
I will do two versions. One will be FIFO compliant. It will trade only single trade positions. The other will not be FIFO compliant, it will open trades in batches. I will link up live account in a week or so. For now, if anyone wants to do BETA testing with the copy trader, you can do so with the following details (this is the non-FIFO compliant version).

Account tracking/copying details.

Low-Medium risk.
IC Markets MT4
Account number: 10307003
Investor PW: lGdMaRe6
Server: Demo:01
(Not FIFO compliant)

Valid and Invalid Complaints.
There are a few things that can pop up in copy trading. I am not a n00b when it comes to this, so I can somewhat forecast what these will be. I can kinda predict what sort of comments there may be. Some of these are valid points that if you raise I should (and will) reply to. Some are things outside of the scope of things I can influence, and as such, there is no point in me replying to. I will just cover them all here the one time.

Valid complains are if I do something dumb or dramatically outside of the strategy I have laid out here. won't do these, if I do, you can pitchfork ----E

Examples;

“Oi, idiot! You opened a trade randomly on a news spike. I got slipped 20 pips and it was a shit entry”.
Perfectly valid complaint.

“Why did you open a trade during swaps hours when the spread was 30 pips?”
Also valid.

“You left huge trades open running into the weekend and now I have serious gap paranoia!”
Definitely valid.

These are examples of me doing dumb stuff. If I do dumb stuff, it is fair enough people say things amounting to “Yo, that was dumb stuff”.

Invalid Complains;

“You bought EURUSD when it was clearly a sell!!!!”
Okay … you sell. No-one is asking you to copy my trades. I am not trading your strategy. Different positions make a market.

“You opened a position too big and I lost X%”.
No. Na uh. You copied a position too big. If you are using a trade copier, you can set maximum risk. If you neglect to do this, you are taking 100% risk. You have no valid compliant for losing. The act of copying and setting the risk settings is you selecting your risk. I am not responsible for your risk. I accept absolutely no liability for any losses.
*Suggested fix. Refer to risk control in copy trading software

“You lost X trades in a row at X% so I lost too much”.
Nope. You copied. See above. Anything relating to losing too much in trades (placed in liquid/standard market conditions) is entirely you. I can lose my money. Only you can set it up so you can lose yours. I do not have access to your account. Only mine.
*Suggested fix. Refer to risk control in copy trading software

“Price keeps trading close to the pending limit orders but not filling. Your account shows profits, but mine is not getting them”.
This is brokerage. I have no control over this. I use a strategy that aims for precision, and that means a pip here and there in brokerage spreads can make a difference. I am trading to profit from my trading conditions. I do not know, so can not account for, yours.
* Suggested fix. Compare the spread on your broker with the spread on mine. Adjust your orders accordingly. Buy limit orders will need to move up a little. Sell limit orders should not need adjusted.

“I got stopped out right before the market turned, I have a loss but your account shows a profit”.
This is brokerage. I have no control over this. I use a strategy that aims for precision, and that means a pip here and there differences in brokerage spreads can make a difference. I am trading to profit from my trading conditions. I do not know, so can not account for, yours.
** Suggested fix. Compare the spread on your broker with the spread on mine. Adjust your orders accordingly. Stop losses on sell orders will need to move up a bit. Stops on buy orders will be fine.

“Your trade got stopped out right before the market turned, if it was one more pip in the stop, it would have been a winner!!!”
Yeah. This happens. This is where the “risk” part of “risk:reward” comes in.

“Price traded close to take profit, yours filled but mines never”.
This is brokerage. I have no control over this. I use a strategy that aims for precision, and that means a pip here and there differences in brokerage spreads can make a difference. I am trading to profit from my trading conditions. I do not know, so can not account for, yours.
(Side note, this should not be an issue since when my trade closes, it should ping your account to close, too. You might get a couple less pips).
*** Suggested fix. Compare the spread on your broker with the spread on mine. Adjust your orders accordingly. Take profits on buys will need to move up a bit. Sell take profits will be fine.

“My brokers spread jumped to 20 during the New York session so the open trade made a bigger loss than it should”.
Your broker might just suck if this happens. This is brokerage. I have no control over this. My trades are placed to profit from my brokerage conditions. I do not know, so can not account for yours. Also, if accounting for random spread spikes like this was something I had to do, this strategy would not be a thing. It only works with fair brokerage conditions.
*Suggested fix. Do a bit of Googling and find out if you have a horrific broker. If so, fix that! A good search phrase is; “(Broker name) FPA reviews”.

“Price hit the stop loss but was going really fast and my stop got slipped X pips”.
This is brokerage. I have no control over this. I use a strategy that aims for precision, and that means a pip here and there differences in brokerage spreads can make a difference. I am trading to profit from my trading conditions. I do not know, so can not account for, yours.
If my trade also got slipped on the stop, I was slipped using ECN conditions with excellent execution; sometimes slips just happen. I am doing the most I can to prevent them, but it is a fact of liquidity that sometimes we get slipped (slippage can also work in our favor, paying us more than the take profit would have been).

“Orders you placed failed to execute on my account because they were too large”.
This is brokerage. I have no control over this. Margin requirements vary. I have 1:500 leverage available. I will not always be using it, but I can. If you can’t, this will make a difference.

“Your account is making profits trading things my broker does not have”
I have a full range of assets to trade with the broker I use. Included Forex, indices, commodities and cryptocurrencies. I may or may not use the extent of these options. I can not account for your brokerage conditions.

I think I have covered most of the common ones here. There are some general rules of thumb, though. Basically, if I do something that is dumb and would have a high probability of losing on any broker traded on, this is a valid complain.

Anything that pertains to risk taken in standard trading conditions is under your control.

Also, anything at all that pertains to brokerage variance there is nothing I can do, other than fully brief you on what to expect up-front. Since I am taking the time to do this, I won’t be a punchbag for anything that happens later pertaining to this.

I am not using an elitist broker. You don’t need $50,000 to open an account, it is only $200. It is accessible to most people - brokerage conditions akin to what I am using are absolutely available to anyone in the UK/Europe/Asia (North America, I am not so up on, so can’t say). With the broker I use, and with others. If you do not take the time to make sure you are trading with a good broker, there is nothing I can do about how that affects your trades.

I am using an A book broker, if you are using B book; it will almost certainly be worse results. You have bad costs. You are essentially buying from reseller and paying a mark-up. (A/B book AKA ECN/Market maker; learn about this here). My EURUSD spread will typically be 0.02 pips or so, if yours is 1 pip, this is a huge difference.
These are typical spreads I am working on.

https://preview.redd.it/yc2c4jfpab721.png?width=597&format=png&auto=webp&s=c377686b2485e13171318c9861f42faf325437e1


Check the full range of spreads on Forex, commodities, indices and crypto.

Please understand I want nothing from you if you benefit from this, but I am also due you nothing if you lose. My only term of offering this is that people do not moan at me if they lose money.

I have been fully upfront saying this is geared towards higher risk. I have provided information and tools for you to take control over this. If I do lose people’s money and I know that, I honestly will feel a bit sad about it. However, if you complain about it, all I will say is “I told you that might happen”, because, I am telling you that might happen.

Make clear headed assessments of how much money you can afford to risk, and use these when making your decisions. They are yours to make, and not my responsibility.

Update.

Crazy Kelly Compounding: $100 - $11,000 in 6 Trades.

$100 to $11,000 in 6 trades? Is it a scam? Is it a gamble? … No, it’s maths.

Common sense risk disclaimer: Don’t be a dick! Don’t risk money you can’t afford to lose. Do not risk money doing these things until you can show a regular profit on low risk.
Let’s talk about Crazy Kelly Compounding (CKC). Kelly criterion is a method for selecting optimal bet sizes if the odds and win rate are known (in other words, once you have worked out how to create and assess your edge). You can Google to learn about it in detail. The formula for Kelly criterion is;
((odds-1) * (percentage estimate)) - (1-percent estimate) / (odds-1) X 100
Now let’s say you can filter down a strategy to have a 80% win rate. It trades very rarely, but it had a very high success rate when it does. Let’s say you get 1:2 RR on that trade. Kelly would give you an optimum bet size of about 60% here. So if you win, you win 120%. Losing three trades in a row will bust you. You can still recover from anything less than that, fairly easily with a couple winning trades.
This is where CKC comes in. What if you could string some of these wins together, compounding the gains (so you were risking 60% each time)? What if you could pull off 6 trades in a row doing this?
Here is the math;

https://preview.redd.it/u3u6teqd7c721.png?width=606&format=png&auto=webp&s=3b958747b37b68ec2a769a8368b5cbebfe0e97ff
This shows years, substitute years for trades. 6 trades returns $11,338! This can be done. The question really is if you are able to dial in good enough entries, filter out enough sub-par trades and have the guts to pull the trigger when the time is right. Obviously you need to be willing to take the hit, obviously that hit gets bigger each time you go for it, but the reward to risk ratio is pretty decent if you can afford to lose the money.
We could maybe set something up to do this on cent brokers. So people can do it literally risking a couple dollars. I’d have to check to see if there was suitable spreads etc offered on them, though. They can be kinda icky.
Now listen, I am serious … don’t be a dick. Don’t rush out next week trying to retire by the weekend. What I am showing you is the EXTRA rewards that come with being able to produce good solid results and being able to section off some money for high risk “all or nothing” attempts; using your proven strategies.
I am not saying anyone can open 6 trades and make $11,000 … that is rather improbable. What I am saying is once you can get the strategy side right, and you can know your numbers; then you can use the numbers to see where the limits actually are, how fast your strategy can really go.
This CKC concept is not intended to inspire you to be reckless in trading, it is intended to inspire you to put focus on learning the core skills I am telling you that are behind being able to do this.
submitted by inweedwetrust to Forex [link] [comments]

PUT CALL RATIO से TOP और BOTTOM का सटीक पता लगाओ ! - YouTube Trade Using Put Call Ratio Indicator  Tutorial  HINDI  TradeGuide Put Call Ratio - YouTube Indicator 4- Put Call Ratio (PCR Analysis)  free options ... Truth Revealed! The Put/Call Ratio  Trading Data Science ... Put Call Ratio Warns Us of a Potential Market Pullback ... Put-Call-Ratios - Teil II: Das Total Put-Call-Ratio The Put-Call Ratio Explained - YouTube

Plots the CBOE Put Call Ratio and marks up locations of extremities. Useful as a factor of confluence in identifying extremities in the market. The Put/Call Ratio is a sentiment indicator used to assess whether stock market buying or selling is at an extreme. The ratio is based on put and call option volume, the former bets on a decline in stock or index prices, and the latter is used to bet on a rise in stock or index prices. By looking for extremes in the put/call ratio, traders isolate periods where a reversal could occur ... Learn in this article what is the Put/Call Ratio in Forex options and how to use this indicator data to help you on the Forex market trading. For those not familiar with FX options, a call is the right, but not the obligation, to purchase currency in the future at a predetermined price while a put is the right, but not the obligation, to sell a currency in the future at a predetermined price. English: The put / call ratio is used as a counter indicator to measure bullish and bearish extremes. I use it in combination with other indicators as early warning system for bigger trend reversals. Deutsch: Das Put / Call-Verhältnis wird als Gegenindikator verwendet, um bullische und bärische Extreme zu messen. Ich benutze es in Kombination mit anderen Indikatoren als Frühwarnsystem für ... The Put/Call Ratio (PCR) is an indicator that plots put volume divided by call volume. Put options give the owner the right to sell a certain amount of an underlying security at a fixed price within a specified time frame. They can be used if you expect a decline. Call options give the owner the right to buy a certain amount of an underlying security at a fixed price within a specified time ... Mt4 put call ratio indicator. Call put ratio identifies the change of these phases and shows you when you can open a long or short position. It easy by attach to the chart for all metatrader users. One of the most reliable indicators of future market direction is a contrarian sentiment measure known as the put call options volume ratio. Traders buy puts as insurance against a market decline or ... Der Put/Call Ratio (PCR) ist ein Indikator, der das Put-Volumen dividiert durch das Call-Volumen darstellt. Put-Optionen geben dem Inhaber das Recht, einen bestimmten Betrag eines Basiswertes zu einem festgelegten Preis innerhalb eines bestimmten Zeitraums zu verkaufen. Sie können verwendet werden, wenn Sie einen Rückgang erwarten. Call-Optionen geben dem Inhaber das Recht, innerhalb eines ...

[index] [7810] [17491] [11716] [17342] [2787] [4578] [5751] [18677] [21559] [24562]

PUT CALL RATIO से TOP और BOTTOM का सटीक पता लगाओ ! - YouTube

Put Call Ratio Analysis also know as PCR analysis is our 4th Indicator to find out a Market View on stock Market Movement in the Future. I am going to Explai... nifty trading strategy ,nifty options trading strategies ,bank nifty trading strategies ,bank nifty option trading strategy ,stock trading tips, stock tradin... Watch this video to learn the method of trading with the help of Put Call Ratio. Try TradeGuide Option Chain Analyser, Visit : https://tradeguide.in/ Follow ... Should traders user the put/call ratio to make decisions? Financial reporters and professionals are often heard citing the put/call ratio as an indicator of ... A quick and concise description of the Put-Call ratio, an important options market figure to understand! Cheers! Instagram: https://www.instagram.com/elevate... Here's how to read the put call ratio and what it is telling us now Das Total Put-Call-Ratio ist ein super Indikator um Panik im Markt zu erkennen. Wie genau das funktioniert, erfahrt ihr im Video. Euer Max Teil 1: https://yo... In today’s video, we’ll use some of our free ThinkOrSwim indicators to do some weekend homework. Our ThinkOrSwim Put Call Ratio indicator turned red, giving ...

https://binary-optiontrade.ningbymidiri.ga