Forex News Deviation - Forex Strategies Book Pdf

Today NEWS: Google Finance Now Lists Bitcoin First Ahead Of Top Forex Currencies

Today NEWS: Google Finance Now Lists Bitcoin First Ahead Of Top Forex Currencies
https://bitcoinist.com/google-finance-now-lists-bitcoin-first-ahead-of-top-forex-currencies/ #deviatives
#newtradingpair #new #listing #listed #toptopic #topnews #toptags #finance #interesting #topfinance #financing #financial #financialadvisor #financialadvisor
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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
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How to get started in Forex - A comprehensive guide for newbies

Almost every day people come to this subreddit asking the same basic questions over and over again. I've put this guide together to point you in the right direction and help you get started on your forex journey.

A quick background on me before you ask: My name is Bob, I'm based out of western Canada. I started my forex journey back in January 2018 and am still learning. However I am trading live, not on demo accounts. I also code my own EA's. I not certified, licensed, insured, or even remotely qualified as a professional in the finance industry. Nothing I say constitutes financial advice. Take what I'm saying with a grain of salt, but everything I've outlined below is a synopsis of some tough lessons I've learned over the last year of being in this business.

LET'S GET SOME UNPLEASANTNESS OUT OF THE WAY

I'm going to call you stupid. I'm also going to call you dumb. I'm going to call you many other things. I do this because odds are, you are stupid, foolish,and just asking to have your money taken away. Welcome to the 95% of retail traders. Perhaps uneducated or uninformed are better phrases, but I've never been a big proponent of being politically correct.

Want to get out of the 95% and join the 5% of us who actually make money doing this? Put your grown up pants on, buck up, and don't give me any of this pc "This is hurting my feelings so I'm not going to listen to you" bullshit that the world has been moving towards.

Let's rip the bandage off quickly on this point - the world does not give a fuck about you. At one point maybe it did, it was this amazing vision nicknamed the American Dream. It died an agonizing, horrible death at the hand of capitalists and entrepreneurs. The world today revolves around money. Your money, my money, everybody's money. People want to take your money to add it to theirs. They don't give a fuck if it forces you out on the street and your family has to live in cardboard box. The world just stopped caring in general. It sucks, but it's the way the world works now. Welcome to the new world order. It's called Capitalism.

And here comes the next hard truth that you will need to accept - Forex is a cruel bitch of a mistress. She will hurt you. She will torment you. She will give you nightmares. She will keep you awake at night. And then she will tease you with a glimmer of hope to lure you into a false sense of security before she then guts you like a fish and shows you what your insides look like. This statement applies to all trading markets - they are cruel, ruthless, and not for the weak minded.

The sooner you accept these truths, the sooner you will become profitable. Don't accept it? That's fine. Don't bother reading any further. If I've offended you I don't give a fuck. You can run back home and hide under your bed. The world doesn't care and neither do I.

For what it's worth - I am not normally an major condescending asshole like the above paragraphs would suggest. In fact, if you look through my posts on this subreddit you will see I am actually quite helpful most of the time to many people who come here. But I need you to really understand that Forex is not for most people. It will make you cry. And if the markets themselves don't do it, the people in the markets will.

LESSON 1 - LEARN THE BASICS

Save yourself and everybody here a bunch of time - learn the basics of forex. You can learn the basics for free - BabyPips has one of the best free courses online which explains what exactly forex is, how it works, different strategies and methods of how to approach trading, and many other amazing topics.

You can access the BabyPips course by clicking this link: https://www.babypips.com/learn/forex

Do EVERY course in the School of Pipsology. It's free, it's comprehensive, and it will save you from a lot of trouble. It also has the added benefit of preventing you from looking foolish and uneducated when you come here asking for help if you already know this stuff.

If you still have questions about how forex works, please see the FREE RESOURCES links on the /Forex FAQ which can be found here: https://www.reddit.com/Forex/wiki/index

Quiz Time
Answer these questions truthfully to yourself:

-What is the difference between a market order, a stop order, and a limit order?
-How do you draw a support/resistance line? (Demonstrate it to yourself)
-What is the difference between MACD, RSI, and Stochastic indicators?
-What is fundamental analysis and how does it differ from technical analysis and price action trading?
-True or False: It's better to have a broker who gives you 500:1 margin instead of 50:1 margin. Be able to justify your reasoning.

If you don't know to answer to any of these questions, then you aren't ready to move on. Go back to the School of Pipsology linked above and do it all again.

If you can answer these questions without having to refer to any kind of reference then congratulations, you are ready to move past being a forex newbie and are ready to dive into the wonderful world of currency trading! Move onto Lesson 2 below.

LESSON 2 - RANDOM STRANGERS ARE NOT GOING TO HELP YOU GET RICH IN FOREX

This may come as a bit of a shock to you, but that random stranger on instagram who is posting about how he is killing it on forex is not trying to insprire you to greatness. He's also not trying to help you. He's also not trying to teach you how to attain financial freedom.

99.99999% of people posting about wanting to help you become rich in forex are LYING TO YOU.

Why would such nice, polite people do such a thing? Because THEY ARE TRYING TO PROFIT FROM YOUR STUPIDITY.

Plain and simple. Here's just a few ways these "experts" and "gurus" profit from you:


These are just a few examples. The reality is that very few people make it big in forex or any kind of trading. If somebody is trying to sell you the dream, they are essentially a magician - making you look the other way while they snatch your wallet and clean you out.

Additionally, on the topic of fund managers - legitimate fund managers will be certified, licensed, and insured. Ask them for proof of those 3 things. What they typically look like are:

If you are talking to a fund manager and they are insisting they have all of these, get a copy of their verification documents and lookup their licenses on the directories of the issuers to verify they are valid. If they are, then at least you are talking to somebody who seems to have their shit together and is doing investment management and trading as a professional and you are at least partially protected when the shit hits the fan.


LESSON 3 - UNDERSTAND YOUR RISK

Many people jump into Forex, drop $2000 into a broker account and start trading 1 lot orders because they signed up with a broker thinking they will get rich because they were given 500:1 margin and can risk it all on each trade. Worst-case scenario you lose your account, best case scenario you become a millionaire very quickly. Seems like a pretty good gamble right? You are dead wrong.

As a new trader, you should never risk more than 1% of your account balance on a trade. If you have some experience and are confident and doing well, then it's perfectly natural to risk 2-3% of your account per trade. Anybody who risks more than 4-5% of their account on a single trade deserves to blow their account. At that point you aren't trading, you are gambling. Don't pretend you are a trader when really you are just putting everything on red and hoping the roulette ball lands in the right spot. It's stupid and reckless and going to screw you very quickly.

Let's do some math here:

You put $2,000 into your trading account.
Risking 1% means you are willing to lose $20 per trade. That means you are going to be trading micro lots, or 0.01 lots most likely ($0.10/pip). At that level you can have a trade stop loss at -200 pips and only lose $20. It's the best starting point for anybody. Additionally, if you SL 20 trades in a row you are only down $200 (or 10% of your account) which isn't that difficult to recover from.
Risking 3% means you are willing to lose $60 per trade. You could do mini lots at this point, which is 0.1 lots (or $1/pip). Let's say you SL on 20 trades in a row. You've just lost $1,200 or 60% of your account. Even veteran traders will go through periods of repeat SL'ing, you are not a special snowflake and are not immune to periods of major drawdown.
Risking 5% means you are willing to lose $100 per trade. SL 20 trades in a row, your account is blown. As Red Foreman would call it - Good job dumbass.

Never risk more than 1% of your account on any trade until you can show that you are either consistently breaking even or making a profit. By consistently, I mean 200 trades minimum. You do 200 trades over a period of time and either break-even or make a profit, then you should be alright to increase your risk.

Unfortunately, this is where many retail traders get greedy and blow it. They will do 10 trades and hit their profit target on 9 of them. They will start seeing huge piles of money in their future and get greedy. They will start taking more risk on their trades than their account can handle.

200 trades of break-even or profitable performance risking 1% per trade. Don't even think about increasing your risk tolerance until you do it. When you get to this point, increase you risk to 2%. Do 1,000 trades at this level and show break-even or profit. If you blow your account, go back down to 1% until you can figure out what the hell you did differently or wrong, fix your strategy, and try again.

Once you clear 1,000 trades at 2%, it's really up to you if you want to increase your risk. I don't recommend it. Even 2% is bordering on gambling to be honest.


LESSON 4 - THE 500 PIP DRAWDOWN RULE

This is a rule I created for myself and it's a great way to help protect your account from blowing.

Sometimes the market goes insane. Like really insane. Insane to the point that your broker can't keep up and they can't hold your orders to the SL and TP levels you specified. They will try, but during a flash crash like we had at the start of January 2019 the rules can sometimes go flying out the window on account of the trading servers being unable to keep up with all the shit that's hitting the fan.

Because of this I live by a rule I call the 500 Pip Drawdown Rule and it's really quite simple - Have enough funds in your account to cover a 500 pip drawdown on your largest open trade. I don't care if you set a SL of -50 pips. During a flash crash that shit sometimes just breaks.

So let's use an example - you open a 0.1 lot short order on USDCAD and set the SL to 50 pips (so you'd only lose $50 if you hit stoploss). An hour later Trump makes some absurd announcement which causes a massive fundamental event on the market. A flash crash happens and over the course of the next few minutes USDCAD spikes up 500 pips, your broker is struggling to keep shit under control and your order slips through the cracks. By the time your broker is able to clear the backlog of orders and activity, your order closes out at 500 pips in the red. You just lost $500 when you intended initially to only risk $50.

It gets kinda scary if you are dealing with whole lot orders. A single order with a 500 pip drawdown is $5,000 gone in an instant. That will decimate many trader accounts.

Remember my statements above about Forex being a cruel bitch of a mistress? I wasn't kidding.

Granted - the above scenario is very rare to actually happen. But glitches to happen from time to time. Broker servers go offline. Weird shit happens which sets off a fundamental shift. Lots of stuff can break your account very quickly if you aren't using proper risk management.


LESSON 5 - UNDERSTAND DIFFERENT TRADING METHODOLOGIES

Generally speaking, there are 3 trading methodologies that traders employ. It's important to figure out what method you intend to use before asking for help. Each has their pros and cons, and you can combine them in a somewhat hybrid methodology but that introduces challenges as well.

In a nutshell:

Now you may be thinking that you want to be a a price action trader - you should still learn the principles and concepts behind TA and FA. Same if you are planning to be a technical trader - you should learn about price action and fundamental analysis. More knowledge is better, always.

With regards to technical analysis, you need to really understand what the different indicators are tell you. It's very easy to misinterpret what an indicator is telling you, which causes you to make a bad trade and lose money. It's also important to understand that every indicator can be tuned to your personal preferences.

You might find, for example, that using Bollinger Bands with the normal 20 period SMA close, 2 standard deviation is not effective for how you look at the chart, but changing that to say a 20 period EMA average price, 1 standard deviation bollinger band indicator could give you significantly more insight.


LESSON 6 - TIMEFRAMES MATTER

Understanding the differences in which timeframes you trade on will make or break your chosen strategy. Some strategies work really well on Daily timeframes (i.e. Ichimoku) but they fall flat on their face if you use them on 1H timeframes, for example.

There is no right or wrong answer on what timeframe is best to trade on. Generally speaking however, there are 2 things to consider:


If you are a total newbie to forex, I suggest you don't trade on anything shorter than the 1H timeframe when you are first learning. Trading on higher timeframes tends to be much more forgiving and profitable per trade. Scalping is a delicate art and requires finesse and can be very challenging when you are first starting out.


LESSON 7 - AUTOBOTS...ROLL OUT!

Yeah...I'm a geek and grew up with the Transformers franchise decades before Michael Bay came along. Deal with it.

Forex bots are called EA's (Expert Advisors). They can be wonderous and devastating at the same time. /Forex is not really the best place to get help with them. That is what /algotrading is useful for. However some of us that lurk on /Forex code EA's and will try to assist when we can.

Anybody can learn to code an EA. But just like how 95% of retail traders fail, I would estimate the same is true for forex bots. Either the strategy doesn't work, the code is buggy, or many other reasons can cause EA's to fail. Because EA's can often times run up hundreds of orders in a very quick period of time, it's critical that you test them repeatedly before letting them lose on a live trading account so they don't blow your account to pieces. You have been warned.

If you want to learn how to code an EA, I suggest you start with MQL. It's a programming language which can be directly interpretted by Meta Trader. The Meta Trader terminal client even gives you a built in IDE for coding EA's in MQL. The downside is it can be buggy and glitchy and caused many frustrating hours of work to figure out what is wrong.

If you don't want to learn MQL, you can code an EA up in just about any programming language. Python is really popular for forex bots for some reason. But that doesn't mean you couldn't do it in something like C++ or Java or hell even something more unusual like JQuery if you really wanted.

I'm not going to get into the finer details of how to code EA's, there are some amazing guides out there. Just be careful with them. They can be your best friend and at the same time also your worst enemy when it comes to forex.

One final note on EA's - don't buy them. Ever. Let me put this into perspective - I create an EA which is literally producing money for me automatically 24/5. If it really is a good EA which is profitable, there is no way in hell I'm selling it. I'm keeping it to myself to make a fortune off of. EA's that are for sale will not work, will blow your account, and the developer who coded it will tell you that's too darn bad but no refunds. Don't ever buy an EA from anybody.

LESSON 8 - BRING ON THE HATERS

You are going to find that this subreddit is frequented by trolls. Some of them will get really nasty. Some of them will threaten you. Some of them will just make you miserable. It's the price you pay for admission to the /Forex club.

If you can't handle it, then I suggest you don't post here. Find a more newbie-friendly site. It sucks, but it's reality.

We often refer to trolls on this subreddit as shitcunts. That's your word of the day. Learn it, love it. Shitcunts.


YOU MADE IT, WELCOME TO FOREX!

If you've made it through all of the above and aren't cringing or getting scared, then welcome aboard the forex train! You will fit in nicely here. Ask your questions and the non-shitcunts of our little corner of reddit will try to help you.

Assuming this post doesn't get nuked and I don't get banned for it, I'll add more lessons to this post over time. Lessons I intend to add in the future:
If there is something else you feel should be included please drop a comment and I'll add it to the above list of pending topics.

Cheers,

Bob



submitted by wafflestation to Forex [link] [comments]

3.3 How to implement strategies in M language

3.3 How to implement strategies in M language

Summary

In the previous article, we explained the premise of realizing the trading strategy from the aspects of the introduction of the M language , the basic grammar, the model execution method, and the model classification. In this article, we will continue the previous part, from the commonly used strategy modules and technologies. Indicators, step by step to help you achieve a viable intraday quantitative trading strategy.

Strategy Module


https://preview.redd.it/a4l7ofpuwxs41.png?width=1517&format=png&auto=webp&s=3f97ea5a7316edd434a47067d9b76c894577d01d

Stage Increase

Stage increase is calculating the percentage of current K line's closing price compare with previous N periods of closing price's difference. For example: Computing the latest 10 K-lines stage increases, can be written:
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CLOSE_0:=CLOSE; //get the current K-line's closing price, and save the results to variable CLOSE_0. CLOSE_10:=REF(CLOSE,10); //get the pervious 10 K-lines' closing price, and save the results to variable CLOSE_10 (CLOSE_0-CLOSE_10)/CLOSE_10*100;//calculating the percentage of current K line's closing price compare with previous N periods of closing price's difference. 

New high price

The new high price is calculated by whether the current K line is greater than N cycles' highest price. For example: calculating whether the current K line is greater than the latest 10 K-lines' highest price, can be written:
12
HHV_10:=HHV(HIGH,10); //Get the highest price of latest 10 K-lines, which includes the current K-line. HIGH>REF(HHV_10,1); //Judge whether the current K-line's highest price is greater than pervious K-lines' HHV_10 value. 

Price raise with massive trading volume increase

For example: If the current K line's closing price is 1.5 times of the closing price of the previous 10 K-lines, which means in 10 days, the price has risen 50%; and the trading volume also increased more than 5 times of the pervious 10 K-lines. can be written:
1234567
CLOSE_10:=REF(CLOSE,10); //get the 10th K-line closing price IS_CLOSE:=CLOSE/CLOSE_10>1.5; //Judging whether the current K Line closing price is 1.5 times greater than the value of CLOSE_10 VOL_MA_10:=MA(VOL,10); //get the latest 10 K-lines' average trading volume IS_VOL:=VOL>VOL_MA_10*5; //Judging whether the current K-line's trading volume is 5 times greater than the value of VOL_MA_10 IS_CLOSE AND IS_VOL; //Judging whether the condition of IS_CLOSE and IS_VOL are both true. 

Price narrow-shock market

Narrow-shock market means that the price is maintained within a certain range in the recent period. For example: If the highest price in 10 cycles minus the lowest price in 10 cycles, the result divided by the current K-line's closing price is less than 0.05. can be written:
1234
HHV_10:=HHV(CLOSE,10); //Get the highest price in 10 cycles(including current K-line) LLV_10:=LLV(CLOSE,10); //Get the lowest price in 10 cycles(including current K-line) (HHV_10-LLV_10)/CLOSE<0.05; //Judging whether the difference between HHV_10 and LLV_10 divided by current k-line's closing price is less than 0.05. 

Moving average indicates bull market

Moving Average indicates long and short direction, K line supported by or resisted by 5,10,20,30,60 moving average line, Moving average indicates bull market or bear market. can be written:
123456
MA_5:=MA(CLOSE,5); //get the moving average of 5 cycle closing price. MA_10:=MA(CLOSE,10);//get the moving average of 10 cycle closing price. MA_20:=MA(CLOSE,20);//get the moving average of 20 cycle closing price. MA_30:=MA(CLOSE,30);//get the moving average of 30 cycle closing price. MA_5>MA_10 AND MA_10>MA_20 AND MA_20>MA_30; //determine wether the MA_5 is greater than MA_10, and MA_10 is greater than MA_20, and MA_20 is greater than MA_30. 

Previous high price and its locations

To obtain the location of the previous high price and its location, you can use FMZ Quant API directly. can be written:
123
HHV_20:=HHV(HIGH,20); //get the highest price of 20 cycle(including current K line) HHVBARS_20:=HHVBARS(HIGH,20); //get the number of cycles from the highest price in 20 cycles to current K line HHV_60_40:REF(HHV_20,40); //get the highest price between 60 cycles and 40 cycles. 

Price gap jumping

The price gap is the case where the highest and lowest prices of the two K lines are not connected. It consists of two K lines, and the price gap is the reference price of the support and pressure points in the future price movement. When a price gap occurs, it can be assumed that an acceleration along the trend with original direction has begun. can be written:
12345678
HHV_1:=REF(H,1); //get the pervious K line's highest price LLV_1:=REF(L,1); //get the pervious K line's lowest price HH:=L>HHV_1; //judging wether the current K line's lowest price is greater than pervious K line's highest price (jump up) LL:=H1.001; //adding additional condition, the bigger of the price gap, the stronger the signal (jump up) LLL:=H/REF(L.1)<0.999; //adding additional condition, the bigger of the price gap, the stronger the signal (jump down) JUMP_UP:HH AND HHH; //judging the overall condition, whether it is a jump up JUMP_DOWN:LL AND LLL; //judging the overall condition, whether it is a jump down 

Common technical indicators

Moving average

https://preview.redd.it/np9qgn3ywxs41.png?width=811&format=png&auto=webp&s=39a401b5c9498a13d953678c0c452b3b8f6cbe2c
From a statistical point of view, the moving average is the arithmetic average of the daily price, which is a trending price trajectory. The moving average system is a common technical tool used by most analysts. From a technical point of view, it is a factor that affects the psychological price of technical analysts. The decision-making factor of thinking trading is a good reference tool for technical analysts. The FMZ Quant tool supports many different types of moving averages, as shown below:
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MA_DEMO:MA(CLOSE,5); // get the moving average of 5 cycle MA_DEMO:EMA(CLOSE,15); // get the smooth moving average of 15 cycle MA_DEMO:EMA2(CLOSE,10);// get the linear weighted moving average of 10 cycle MA_DEMO:EMAWH(CLOSE,50); // get the exponentially weighted moving average of 50 cycle MA_DEMO:DMA(CLOSE,100); // get the dynamic moving average of 100 cycle MA_DEMO:SMA(CLOSE,10,3); // get the fixed weight of 3 moving average of closing price in 10 cycle MA_DEMO:ADMA(CLOSE,9,2,30); // get the fast-line 2 and slow-line 30 Kaufman moving average of closing price in 9 cycle. 

Bollinger Bands


https://preview.redd.it/mm0lkv00xxs41.png?width=1543&format=png&auto=webp&s=a87bdb4feecf97cbeef423b935860bfea85ffe6d
Bollinger bands is also based on the statistical principle. The middle rail is calculated according to the N-day moving average, and the upper and lower rails are calculated according to the standard deviation. When the BOLL channel starts changing from wide to narrow, which means the price will gradually returns to the mean. When the BOLL channel is changing from narrow to wide, it means that the market will start to change. If the price is up cross the upper rail, it means that the buying power is enhanced. If the price down cross the lower rail, it indicates that the selling power is enhanced.
Among all the technical indicators, Bollinger Bands calculation method is one of the most complicated, which introduces the concept of standard deviation in statistics, involving the middle trajectory ( MB ), the upper trajectory ( UP ) and the lower trajectory ( DN ). luckily, you don't have to know the calculation details, you can use it directly on FMZ Quant platform as follows:
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MID:MA(CLOSE,100); //calculating moving average of 100 cycle, call it Bollinger Bands middle trajectory TMP2:=STD(CLOSE,100); //calculating standard deviation of closing price of 100 cycle. TOP:MID+2*TMP2; //calculating middle trajectory plus 2 times of standard deviation, call it upper trajectory BOTTOM:MID-2*TMP2; //calculating middle trajectory plus 2 times of standard deviation, call it lower trajectory 

MACD Indicator


https://preview.redd.it/9p3k7y42xxs41.png?width=630&format=png&auto=webp&s=b1b8078325fc142c1563a1cf1cc0f222a13e0bde
The MACD indicator is a double smoothing operation using fast (short-term) and slow (long-term) moving averages and their aggregation and separation. The MACD developed according to the principle of moving averages removes the defect that the moving average frequently emits false signals, and also retains the effect of the other good aspect. Therefore, the MACD indicator has the trend and stability of the moving average. It was used to study the timing of buying and selling stocks and predicts stock price change. You can use it as follows:

DIFF:EMA(CLOSE,10)-EMA(CLOSE,50); //First calculating the difference between short-term moving average and long-term moving average. DEA:EMA(DIFF,10); //Then calculating average of the difference. 
The above is the commonly used strategy module in the development of quantitative trading strategies. In addition, there are far more than that. Through the above module examples, you can also implement several trading modules that you use most frequently in subjective trading. The methods are the same. Next, we began to write a viable intraday trading strategy.

Strategy Writing

In the Forex spot market, there is a wellknown strategy called HANS123. Its logic are basically judging wether the price breaks through the highest or lowest price of the number of K lines after the market opening

Strategy logic

  • Ready to enter the market after 30 minutes of opening;
  • Upper rail = 30 minutes high after opening ;
  • Lower rail = 30 minutes low after opening ;
  • When the price breaks above the upper limit, buy and open the position;
  • When the price falls below the lower rail, the seller opens the position.
  • Intraday trading strategy, closing before closing;

Strategy code

12345678910111213
// Data Calculation Q:=BARSLAST(DATA<>REF(DATA,1))+1; //Calculating the number of period from the first K line of the current trading day to current k line, and assign the results to N HH:=VALUEWHEN(TIME=0930,HHV(H,Q)); //when time is 9:30, get the highest price of N cycles, and assign the results to HH LL:=VALUEWHEN(TIME=0930,LLV(L,Q)); //When time is 9:30, get the lowest price of N cycles, and assign the results to LL //Placing Orders TIME>0930 AND TIME<1445 AND C>HH,BK; //If the time is greater than 9:30 and lesser than 14:45, and the closing price is greater than HH, opening long position. TIME>0930 AND TIME<1445 AND C=1445,CLOSEOUT; //If the time is greater or equal to 14:45, close all position. //Filtering the signals AUTOFILTER; //opening the filtering the signals mechanism 

To sum up

Above we have learned the concept of the strategy module. Through several commonly used strategy module cases, we had a general idea of the FMZ Quant programming tools, it can be said that learning to write strategy modules and improve programming logic thinking is a key step in advanced quantitative trading. Finally, we used the FMZ Quant tool to implement the trading strategy according a classical Forex trading strategy.

Next section notice

Maybe there are still some confusion for some people, mainly because of the coding part. Don't worry, we have already thought of that for you. On the FMZ Quant platform, there is another even easier programming tool for beginners. It is the visual programming, let's learn it soon!
submitted by FmzQuant to CryptoCurrencyTrading [link] [comments]

Trump Didn’t Kill the Global Trade System. He Split It in Two.

This article is taken from the Wall Street Journal written about nine months ago and sits behind a a paywall, so I decided to copy and paste it here. This article explains Trump's policies toward global trade and what has actually happened so far. I think the article does a decent job of explaining the Trade War. While alot has happenedsince the article was written, I still think its relevant.
However, what is lacking in the article, like many articles on the trade war, is it doesn't really explain the history of US trade policy, the laws that the US administration is using to place tariffs on China and the official justification for the US President in enacting tariffs against China. In my analysis I will cover those points.

SUMMARY

When Trump entered the White House people feared he would dismantle the global system the US and its allies had built over the last 75 years, but he hasn't. He has realign into two systems. One between the US and its allies which looks similar to the one built since the 1980s with a few of quota and tariffs. As the article points out
Today, Korus and Nafta have been replaced by updated agreements(one not yet ratified) that look much like the originals. South Korea accepted quotas on steel. Mexico and Canada agreed to higher wages, North American content requirements and quotas for autos. Furthermore, the article points out Douglas Irwin, an economist and trade historian at Dartmouth College, calls these results the “status quo with Trumpian tweaks: a little more managed trade sprinkled about for favored industries. It’s not good, but it’s not the destruction of the system.” Mr. Trump’s actions so far affect only 12% of U.S. imports, according to Chad Bown of the Peterson Institute for International Economics. In 1984, 21% of imports were covered by similar restraints, many imposed by Mr. Reagan, such as on cars, steel, motorcycles and clothing. Protectionist instincts go so far in the US, there are strong lobby groups for both protectionist and freetrade in the US.
The second reflects a emerging rivalry between the US and China. Undo some of the integration that followed China accession to the WTO. Two questions 1) How far is the US willing to decouple with China 2) Can it persuade allies to join.
The second is going to be difficult because China's economic ties are greater than they were between the Soviets, and China isn't waging an ideological struggle. Trump lacks Reagan commitment to alliance and free trade. The status quo with China is crumbling Dan Sullivan, a Republican senator from Alaska, personifies these broader forces reshaping the U.S. approach to the world. When Mr. Xi visited the U.S. in 2015, Mr. Sullivan urged his colleagues to pay more attention to China’s rise. On the Senate floor, he quoted the political scientist Graham Allison: “War between the U.S. and China is more likely than recognized at the moment.” Last spring, Mr. Sullivan went to China and met officials including Vice President Wang Qishan. They seemed to think tensions with the U.S. will fade after Mr. Trump leaves the scene, Mr. Sullivan recalled. “I just said, ‘You are completely misreading this.’” The mistrust, he told them, is bipartisan, and will outlast Mr. Trump. both Bush II and Obama tried to change dialogue and engagement, but by the end of his term, Obama was questioning the approach. Trump has declared engagement. “We don’t like it when our allies steal our ideas either, but it’s a much less dangerous situation,” said Derek Scissors, a China expert at the American Enterprise Institute whose views align with the administration’s more hawkish officials. “We’re not worried about the war-fighting capability of Japan and Korea because they’re our friends.”
The article also points out unlike George Kennan in 1946 who made a case for containing the Soviet Union, the US hasn't explicitly made a case for containing the Soviets, Trump's administration hasn't, because as the the article explains its divided Michael Pillsbury a Hudson Institute scholar close to the Trump team, see 3 scenarios
Pillsbury thinks the third is most likely to happen, even though the administration hasn't said that it has adopted that policy. The US is stepping efforts to draw in other trading partners. The US, EU and Japan have launched a WTO effort to crack down on domestic subsidies and technology transfers requirement. US and Domestic concerns with prompted some countries to restrict Huawei. The US is also seeking to walloff China from other trade deals. However, there are risk with this strategy

ARTICLE

Trump Didn’t Kill the Global Trade System. He Split It in Two.

INTRODUCTION

My main criticism of this article is it tries like the vast majority of articles to fit US trade actions in the larger context of US geopolitical strategy. Even the author isn't certain "The first goes to the heart of Mr. Trump’s goal. If his aim is to hold back China’s advance, economists predict he will fail.". If you try to treat the trade "war" and US geopolitical strategy toward China as one, you will find yourself quickly frustrated and confused. If you treat them separately with their different set of stakeholders and histories, were they intersect with regards to China, but diverge. During the Cold War, trade policy toward the Soviet Union and Eastern Bloc was subordinated to geopolitical concerns. For Trump, the trade issues are more important than geopolitical strategy. His protectionist trade rhetoric has been fairly consistent since 1980s. In his administration, the top cabinet members holding economic portfolios, those of Commerce, Treasury and US Trade Representative are the same people he picked when he first took office. The Director of the Economic Council has changed hands once, its role isn't as important as the National Security Advisor. While State, Defense, CIA, Homeland Security, UN Ambassador, National Security Advisor have changed hands at least once. Only the Director of National Intelligence hasn't changed.
International Trade makes up 1/4 of the US economy, and like national security its primarily the responsibility of the Federal government. States in the US don't implement their own tariffs. If you add the impact of Treasury policy and how it relates to capital flows in and out of the US, the amounts easily exceed the size of the US economy. Furthermore, because of US Dollar role as the reserve currency and US control of over global system the impact of Treasury are global. Trade policy and investment flows runs through two federal departments Commerce and Treasury and for trade also USTR. Defense spending makes up 3.3% of GDP, and if you add in related homeland security its at most 4%. Why would anyone assume that these two realms be integrated let alone trade policy subordinate to whims of a national security bureaucracy in most instances? With North Korea or Iran, trade and investment subordinate themselves to national security, because to Treasury and Commerce bureaucrats and their affiliated interest groups, Iran and the DPRK are well, economic midgets, but China is a different matter.
The analysis will be divided into four sections. The first will be to provide a brief overview of US trade policy since 1914. The second section will discuss why the US is going after China on trade issues, and why the US has resorted using a bilateral approach as opposed to going through the WTO. The third section we will talk about how relations with China is hashed out in the US.
The reason why I submitted this article, because there aren't many post trying to explain US-China Trade War from a trade perspective. Here is a post titled "What is the Reasons for America's Trade War with China, and not one person mentioned Article 301 or China's WTO Commitments. You get numerous post saying that Huawei is at heart of the trade war. Its fine, but if you don't know what was inside the USTR Investigative report that lead to the tariffs. its like skipping dinner and only having dessert When the US President, Donald J Trump, says he wants to negotiate a better trade deal with other countries, and has been going on about for the last 35 years, longer than many of you have been alive, why do people think that the key issues with China aren't primarily about trade at the moment.

OVERVIEW OF THE UNITED STATES TRADE ORIENTATION

Before 1940s, the US could be categorized as a free market protectionist economy. For many this may seem like oxymoron, how can an economy be free market and protectionist? In 1913, government spending made up about 7.5% of US GDP, in the UK it was 13%, and for Germany 18% (Public Spending in the 20th Century A Global Perspective: Ludger Schuknecht and Vito Tanzi - 2000). UK had virtual zero tariffs, while for manufactured goods in France it was 20%, 13% Germany, 9% Belgium and 4% Netherlands. For raw materials and agricultural products, it was almost zero. In contrast, for the likes of United States, Russia and Japan it was 44%, 84% and 30% respectively. Even though in 1900 United States was an economic powerhouse along with Germany, manufactured exports only made up 30% of exports, and the US government saw tariffs as exclusively a domestic policy matter and didn't see tariffs as something to be negotiated with other nations. The US didn't have the large constituency to push the government for lower tariffs abroad for their exports like in Britain in the 1830-40s (Reluctant Partners: A History of Multilateral Trade Cooperation, 1850-2000).
The Underwood Tariffs Act of 1913 which legislated the income tax, dropped the tariffs to 1850 levels levels.Until 16th amendment was ratified in 1913 making income tax legal, all US federal revenue came from excise and tariffs. In contrast before 1914, about 50% of UK revenue came from income taxes. The reason for US reluctance to introduced income tax was ideological and the United State's relative weak government compared to those in Europe. After the First World War, the US introduced the Emergency Tariff Act of 1921, than the Fordney–McCumber Tariff of 1922 followed by a Smoot-Hawley Act of 1930. Contrary to popular opinion, the Smoot-Hawley Act of 1930 had a small negative impact on the economy, since imports and exports played a small part of the US economy, and the tariffs were lower than the average that existed from 1850-1914.
Immediately after the Second World War, when the US economy was the only industrialized economy left standing, the economic focus was on rehabilitation and monetary stability. There was no grandiose and ideological design. Bretton Woods system linked the US dollar to gold to create monetary stability, and to avoid competitive devaluation and tariffs that plagued the world economy after Britain took itself off the gold in 1931. The US$ was the natural choice, because in 1944 2/3 of the world's gold was in the US. One reason why the Marshall Plan was created was to alleviate the chronic deficits Europeans countries had with the US between 1945-50. It was to rebuild their economies so they could start exports good to the US. Even before it was full implemented in 1959, it was already facing problems, the trade surpluses that the US was running in the 1940s, turned to deficits as European and Japanese economies recovered. By 1959, Federal Reserves foreign liabilities had already exceeded its gold reserves. There were fears of a run on the US gold supply and arbitrage. A secondary policy of the Bretton woods system was curbs on capital outflows to reduce speculation on currency pegs, and this had a negative impact on foreign investment until it was abandoned in 1971. It wasn't until the 1980s, where foreign investment recovered to levels prior to 1914. Factoring out the big spike in global oil prices as a result of the OPEC cartel, it most likely wasn't until the mid-1990s that exports as a % of GDP had reached 1914 levels.
Until the 1980s, the US record regarding free trade and markets was mediocre. The impetus to remove trade barriers in Europe after the Second World War was driven by the Europeans themselves. The EEC already had a custom union in 1968, Canada and the US have yet to even discuss implementing one. Even with Canada it took the US over 50 years to get a Free Trade Agreement. NAFTA was inspired by the success of the EEC. NAFTA was very much an elite driven project. If the Americans put the NAFTA to a referendum like the British did with the EEC in the seventies, it most likely wouldn't pass. People often look at segregation in the US South as a political issue, but it was economic issue as well. How could the US preach free trade, when it didn't have free trade in its own country. Segregation was a internal non-tariff barrier. In the first election after the end of the Cold War in 1992, Ross Perot' based most of independent run for the Presidency on opposition to NAFTA. He won 19% of the vote. Like Ross Perot before him, Donald Trump is not the exception in how America has handled tariffs since the founding of the Republic, but more the norm.
The embrace of free trade by the business and political elite can be attributed to two events. After the end of Bretton Woods in 1971, a strong vested interest in the US in the form of multinationals and Wall Street emerged advocating for removal of tariffs and more importantly the removal of restrictions on free flow of capital, whether direct foreign investment in portfolio investment. However, the political class embrace of free trade and capital only really took off after the collapse of the Soviet Union propelled by Cold War triumphalism.
As mentioned by the article, the US is reverting back to a pre-WTO relations with China. As Robert Lighthizer said in speech in 2000
I guess my prescription, really, is to move back to more of a negotiating kind of a settlement. Return to WTO and what it really was meant to be. Something where you have somebody make a decision but have it not be binding.
The US is using financial and legal instruments developed during the Cold War like its extradition treaties (with Canada and Europe), and Section 301. Here is a very good recent article about enforcement commitment that China will make.‘Painful’ enforcement ahead for China if trade war deal is reached with US insisting on unilateral terms
NOTE: It is very difficult to talk about US-China trade war without a basic knowledge of global economic history since 1914. What a lot of people do is politicize or subordinate the economic history to the political. Some commentators think US power was just handed to them after the Second World War, when the US was the only industrialized economy left standing. The dominant position of the US was temporary and in reality its like having 10 tonnes of Gold sitting in your house, it doesn't automatically translate to influence. The US from 1945-1989 was slowly and gradually build her influence in the non-Communist world. For example, US influence in Canada in the 1960s wasn't as strong as it is now. Only 50% of Canadian exports went to the US in 1960s vs 80% at the present moment.

BASIS OF THE US TRADE DISCUSSION WITH CHINA

According to preliminary agreement between China and the US based on unnamed sources in the Wall Street Journal article US, China close in on Trade Deal. In this article it divides the deal in two sections. The first aspects have largely to do with deficits and is political.
As part of a deal, China is pledging to help level the playing field, including speeding up the timetable for removing foreign-ownership limitations on car ventures and reducing tariffs on imported vehicles to below the current auto tariff of 15%. Beijing would also step up purchases of U.S. goods—a tactic designed to appeal to President Trump, who campaigned on closing the bilateral trade deficit with China. One of the sweeteners would be an $18 billion natural-gas purchase from Cheniere Energy Inc., people familiar with the transaction said.
The second part will involve the following.
  1. Commitment Regarding Industrial Policy
  2. Provisions to protect IP
  3. Mechanism which complaints by US companies can be addressed
  4. Bilateral meetings adjudicate disputes. If talks don't produce agreement than US can raise tariffs unilaterally
This grouping of conditions is similar to the points filled under the 301 investigation which serve the basis for initiating the tariffs. I have been reading some sources that say this discussion on this second group of broader issues could only be finalized later
The official justifications for placing the tariffs on Chinese goods is found under the March 2018 investigation submitted by the office of the President to Congress titled FINDINGS OF THE INVESTIGATION INTO CHINA’S ACTS, POLICIES, AND PRACTICES RELATED TO TECHNOLOGY TRANSFER, INTELLECTUAL PROPERTY, AND INNOVATION UNDER SECTION 301 OF THE TRADE ACT OF 1974. From this investigation the United States Trade Representative (USTR) place US Tariffs on Chinese goods as per Section 301 of the Trade Act of 1974. Here is a press release by the USTR listing the reasons for placing tariffs, and the key section from the press release. Specifically, the Section 301 investigation revealed:
In the bigger context of trade relations between US and China, China is not honoring its WTO commitments, and the USTR issued its yearly report to Congress in early February about the status of China compliance with its WTO commitments. The points that served as a basis for applying Section 301, also deviate from her commitments as Clinton's Trade Representative Charlene Barshefsky paving the way for a trade war. Barshefsky argues that China's back sliding was happening as early as 2006-07, and believes the trade war could have been avoided has those commitments been enforced by previous administrations.
I will provide a brief overview of WTO membership and China's process of getting into the WTO.
WTO members can be divided into two groups, first are countries that joined in 1995-97, and were members of GATT, than there are the second group that joined after 1997. China joined in 2001. There is an argument that when China joined in 2001, she faced more stringent conditions than other developing countries that joined before, because the vast majority of developing countries were members of GATT, and were admitted to the WTO based on that previous membership in GATT. Here is Brookings Institute article published in 2001 titled "Issues in China’s WTO Accession"
This question is all the more puzzling because the scope and depth of demands placed on entrants into the formal international trading system have increased substantially since the formal conclusion of the Uruguay Round of trade negotiations in 1994, which expanded the agenda considerably by covering many services, agriculture, intellectual property, and certain aspects of foreign direct investment. Since 1994, the international community has added agreements covering information technology, basic telecommunications services, and financial services. WTO membership now entails liberalization of a much broader range of domestic economic activity, including areas that traditionally have been regarded by most countries as among the most sensitive, than was required of countries entering the WTO’s predecessor organization the GATT.
The terms of China’s protocol of accession to the World Trade Organization reflect the developments just described and more. China’s market access commitments are much more far-reaching than those that governed the accession of countries only a decade ago. And, as a condition for membership, China was required to make protocol commitments that substantially exceed those made by any other member of the World Trade Organization, including those that have joined since 1995. The broader and deeper commitments China has made inevitably will entail substantial short-term economic costs.
What are the WTO commitments Barshefsky goes on about? When countries join the WTO, particularly those countries that weren't members of GATT and joined after 1997, they have to work toward fulfilling certain commitments. There are 4 key documents when countries make an accession to WTO membership, the working party report, the accession protocol paper, the goods schedule and service schedule.
In the working party report as part of the conclusion which specifies the commitment of each member country what they will do in areas that aren't compliant with WTO regulations on the date they joined. The problem there is no good enforcement mechanism for other members to force China to comply with these commitments. And WTO punishments are weak.
Here is the commitment paragraph for China
"The Working Party took note of the explanations and statements of China concerning its foreign trade regime, as reflected in this Report. The Working Party took note of the commitments given by China in relation to certain specific matters which are reproduced in paragraphs 18-19, 22-23, 35-36, 40, 42, 46-47, 49, 60, 62, 64, 68, 70, 73, 75, 78-79, 83-84, 86, 91-93, 96, 100-103, 107, 111, 115-117, 119-120, 122-123, 126-132, 136, 138, 140, 143, 145, 146, 148, 152, 154, 157, 162, 165, 167-168, 170-174, 177-178, 180, 182, 184-185, 187, 190-197, 199-200, 203-207, 210, 212-213, 215, 217, 222-223, 225, 227-228, 231-235, 238, 240-242, 252, 256, 259, 263, 265, 270, 275, 284, 286, 288, 291, 292, 296, 299, 302, 304-305, 307-310, 312-318, 320, 322, 331-334, 336, 339 and 341 of this Report and noted that these commitments are incorporated in paragraph 1.2 of the Draft Protocol. "
This is a tool by the WTO that list all the WTO commitment of each country in the working paper. In the goods and service schedule they have commitments for particular sectors. Here is the a press release by the WTO in September 2001, after successfully concluding talks for accession, and brief summary of key areas in which China hasn't fulfilled her commitments. Most of the commitments made by China were made to address its legacy as a non-market economy and involvement of state owned enterprises. In my opinion, I think the US government and investors grew increasingly frustrated with China, after 2007 not just because of China's back sliding, but relative to other countries who joined after 1997 like Vietnam, another non-market Leninist dictatorship. When comparing China's commitments to the WTO its best to compare her progress with those that joined after 1997, which were mostly ex-Soviet Republics.
NOTE: The Chinese media have for two decades compared any time the US has talked about China's currency manipulation or any other issue as a pretext for imposing tariffs on China to the Plaza Accords. I am very sure people will raise it here. My criticism of this view is fourfold. First, the US targeted not just Japan, but France, Britain and the UK as well. Secondly, the causes of the Japan lost decade were due largely to internal factors. Thirdly, Japan, UK, Britain and France in the 1980s, the Yuan isn't undervalued today. Lastly, in the USTR investigation, its China's practices that are the concern, not so much the trade deficit.

REASONS FOR TRUMPS UNILATERAL APPROACH

I feel that people shouldn't dismiss Trump's unilateral approach toward China for several reasons.
  1. The multilateral approach won't work in many issues such as the trade deficit, commercial espionage and intellectual property, because US and her allies have different interest with regard to these issues. Germany and Japan and trade surpluses with China, while the US runs a deficit. In order to reach a consensus means the West has to compromise among themselves, and the end result if the type of toothless resolutions you commonly find in ASEAN regarding the SCS. Does America want to "compromise" its interest to appease a politician like Justin Trudeau? Not to mention opposition from domestic interest. TPP was opposed by both Clinton and Trump during the election.
  2. You can't launch a geopolitical front against China using a newly formed trade block like the TPP. Some of the existing TPP members are in economic groups with China, like Malaysia and Australia.
  3. China has joined a multitude of international bodies, and at least in trade, these bodies haven't changed its behavior.
  4. Dealing with China, its a no win situation whether you use a tough multilateral / unilateral approach. If the US endorse a tough unilateral approach gives the impression that the US is acting like the British during the Opium War. If you take a concerted Western approach you are accused of acting like the 8 Powers Alliance in 1900.
  5. Trump was elected to deal with China which he and his supporters believe was responsible for the loss of millions manufacturing jobs when China joined the WTO in 2001. It is estimate the US lost 6 Million jobs, about 1/4 of US manufacturing Jobs. This has been subsequently advanced by some economists. The ball got rolling when Bill Clinton decided to grant China Most Favored Nation status in 1999, just a decade after Tiananmen.
  6. China hasn't dealt with issues like IP protection, market access, subsidies to state own companies and state funded industrial spying.
To his credit, Trump has said his aim was not to overthrow authoritarian governments, and that even applies to the likes of Iran. The Arab spring scared Russia and China, because the US for a brief moment placed the spread of democracy over its security interest.

UNDERSTANDING HOW THE US MAKES DECISIONS REGARDING CHINA

At this moment, China or the trade war isn't an area of great concern for the American public, among international issues it ranks lower than international terrorism, North Korea and Iran's nuclear program.
According to the survey, 39 percent of the country views China’s growing power as a “critical threat” to Americans. That ranked it only eighth among 12 potential threats listed and placed China well behind the perceived threats from international terrorism (66 percent), North Korea’s nuclear program (59 percent) and Iran’s nuclear program (52 percent). It’s also considerably lower than when the same question was asked during the 1990s, when more than half of those polled listed China as a critical threat. That broadly tracks with a recent poll from the Pew Research Center that found concern about U.S.-China economic issues had decreased since 2012.
In looking at how US conducts relations foreign policy with China, we should look at it from the three areas of most concern - economic, national security and ideology. Each sphere has their interest groups, and sometimes groups can occupy two spheres at once. Security experts are concerned with some aspects of China's economic actions like IP theft and industrial policy (China 2025), because they are related to security. In these sphere there are your hawks and dove. And each sphere is dominated by certain interest groups. That is why US policy toward China can often appear contradictory. You have Trump want to reduce the trade deficit, but security experts advocating for restrictions on dual use technology who are buttressed by people who want export restrictions on China, as a way of getting market access.
Right now the economic concerns are most dominant, and the hawks seem to dominate. The economic hawks traditionally have been domestic manufacturing companies and economic nationalist. In reality the hawks aren't dominant, but the groups like US Companies with large investment in China and Wall Street are no longer defending China, and some have turned hawkish against China. These US companies are the main conduit in which China's lobby Congress, since China only spends 50% of what Taiwan spends lobbying Congress.
THE ANGLO SAXON WORLD AND CHINA
I don't think many Chinese even those that speak English, have a good understanding Anglo-Saxon society mindset. Anglo Saxons countries, whether US, UK, Canada, Australia, New Zealand and Ireland are commerce driven society governed by sanctity of contracts. The English great philosophical contributions to Western philosophy have primarily to do with economics and politics like Adam Smith, John Locke, David Hume and Thomas Hobbes. This contrast with the French and Germans. Politics in the UK and to a lesser extent the US, is centered around economics, while in Mainland Europe its religion. When the Americans revolted against the British Empire in 1776, the initial source of the grievances were taxes.
Outside of East Asia, the rest of the World's relationship with China was largely commercial, and for United States, being an Anglosaxon country, even more so. In Southeast Asia, Chinese aren't known for high culture, but for trade and commerce. Outside Vietnam, most of Chinese loans words in Southeast Asian languages involve either food or money. The influence is akin to Yiddish in English.
Some people point to the Mao and Nixon meeting as great strategic breakthrough and symbol of what great power politics should look like. The reality is that the Mao-Nixon meeting was an anomaly in the long history of relations with China and the West. Much of China-Western relations over the last 500 years was conducted by multitudes of nameless Chinese and Western traders. The period from 1949-1979 was the only period were strategic concerns triumphed trade, because China had little to offer except instability and revolution. Even in this period, China's attempt to spread revolution in Southeast Asia was a threat to Western investments and corporate interest in the region. During the nadir of both the Qing Dynasty and Republican period, China was still engaged in its traditional commercial role. Throughout much of history of their relations with China, the goals of Britain and the United States were primarily economic,
IMAGINE JUST 10% OF CHINA BOUGHT MY PRODUCT
From the beginning, the allure of China to Western businesses and traders has been its sheer size I. One of the points that the USTR mentions is lack of market access for US companies operating in China, while Chinese companies face much less restrictions operating in the US.
This is supported by remarks by Henry Paulson and Charlene Barshefsky. As Paulson remarked
Trade with China has hurt some American workers. And they have expressed their grievances at the ballot box.
So while many attribute this shift to the Trump Administration, I do not. What we are now seeing will likely endure for some time within the American policy establishment. China is viewed—by a growing consensus—not just as a strategic challenge to the United States but as a country whose rise has come at America’s expense. In this environment, it would be helpful if the US-China relationship had more advocates. That it does not reflects another failure:
In large part because China has been slow to open its economy since it joined the WTO, the American business community has turned from advocate to skeptic and even opponent of past US policies toward China. American business doesn’t want a tariff war but it does want a more aggressive approach from our government. How can it be that those who know China best, work there, do business there, make money there, and have advocated for productive relations in the past, are among those now arguing for more confrontation? The answer lies in the story of stalled competition policy, and the slow pace of opening, over nearly two decades. This has discouraged and fragmented the American business community. And it has reinforced the negative attitudinal shift among our political and expert classes. In short, even though many American businesses continue to prosper in China, a growing number of firms have given up hope that the playing field will ever be level. Some have accepted the Faustian bargain of maximizing today’s earnings per share while operating under restrictions that jeopardize their future competitiveness. But that doesn’t mean they’re happy about it. Nor does it mean they aren’t acutely aware of the risks — or thinking harder than ever before about how to diversify their risks away from, and beyond, China.
What is interesting about Paulson's speech is he spend only one sentence about displaced US workers, and a whole paragraph about US business operating in China. While Kissinger writes books about China, how much does he contribute to both Democrats and the Republicans during the election cycle? China is increasingly makING it more difficult for US companies operating and those exporting products to China.

CONTINUED

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Wall Street Week Ahead for the trading week beginning April 15th, 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 April 15th, 2019.

Some optimistic corporate outlooks in the week ahead could lift the stock market to a record - (Source)

It’s now up to corporate America to reveal whether the U.S. economy simply hit a soft patch this winter, as many suspect, or is on the verge of falling into an even deeper rut.
Earnings from a broad swath of industries, like financials, technology, transportation and consumer products roll out in the coming week as the first-quarter earnings season gets underway. According to Refinitiv, earnings are expected to decline 2.3 percent in the first negative quarter in three years, but it is business leaders’ comments on the future outlook that are even more important.
Commentary and guidance is always a big deal, but this quarter it is critical. Analysts do not agree on whether the first quarter earnings season represents the trough, or even whether the second quarter will see a gain or decline in profit growth.
At the same time, economic data, like March’s jobs report, are beginning to turn more positive, and first quarter growth has quickly gone from forecasts of nearly flattish back in January to now around 2%, on the back of better March releases. The economic data has been uneven, in part because of the government shutdown, but it has yet to prove the economy is back on track.
“The market has been very sensitive to data that’s been picking up. The market is reflecting that, even though there’s talk of an earnings recession. What you don’t want is an earnings recession leading to an economic recession. If companies believe there’s a major downturn in revenue growth, they stop spending and ultimately they fire people and that leads to a recession,” said Quincy Krosby, chief market strategist at Prudential Financial.
The stock market is also at an important inflection point, with the major indexes closing in on all-time highs. The S&P 500 pressed through 2,900 Friday, seen as a point of psychological resistance. The S&P ended the week at 2,907, for a weekly gain of 0.5%. The next target traders are watching is the closing high 2,930 on the S&P. The all-time high was an intraday 2,940, reached on Sept. 21.
Earnings season got off to a good start with J.P. Morgan Chase’s quarterly earnings report Friday. CEO Jamie Dimon was very positive, saying the U.S. economy’s expansion “could go on for years.”
“If you look at the American economy, the consumer is in good shape, balance sheets are in good shape, people are going back to the workforce, companies have plenty of capital,” Dimon told analysts during a conference call. J.P. Morgan stock rose sharply, after its record profits beat analysts’ expectations.
“Positive guidance, that’s what the market needs. [The S&P] could cross 2,900, but then again it could pull back,” said Krosby, but she said the momentum has been pointing higher. “The market has basically been endorsing 2,900 and beyond.”
Krosby said important upcoming economic reports include Empire State and Philadelphia Fed surveys Monday and Thursday respectively, for a current look at manufacturing activity in New York and the Mid-Atlantic region. There is also industrial production and retail sales Tuesday.
“Jobs data was strong. Everybody was really negative on the economy, and now we’re getting pleasant surprises,” said Marc Chandler, Bannockburn Global Forex chief market strategist. The economy added 196,000 jobs in March, bringing the monthly average to 180,000 over the past three months, even with February’s shockingly low 33,000 payrolls.
Chandler said industrial production and other data should show an improved trend over last month.
As stocks have shaken off growth fears, bond yields have also moved higher. The 10-year Treasury note was yielding 2.55% Friday, well above the lows of 2.34% reached on March 28.

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!)

Typical April Trading: Mid-Month Surge Stronger Second Half

Over the recent 21 years April is the top-ranked month for DJIA. April ranks #3 S&P 500, #5 for NASDAQ, #2 for Russell 1000 and #4 for Russell 2000. Average gains over the period range from a low of 1.19% by NASDAQ to a respectable 2.29% by DJIA. The first half of April used to outperform the second half, but since 1994 that has no longer been the case. In fact the second half of April is stronger over the recent 21-year period.
Early April trading is usually positive for the first 4 days then flattens off until mid-month. Then the market tends to surge from the tenth to the fifteenth trading days. DJIA tends to close out the month strongest with NASDAQ closing weakest.
Except for DJIA weighed down by Boeing (BA), stocks are having an above average month so far, which is quite typical in Pre-Election years where April has tended to be even stronger.
(CLICK HERE FOR THE CHART!)

Claims Bode Well For Equities

Earlier today on our Twitter account, we retweeted a chart from Bloomberg's Joe Weisenthal of inverted Jobless Claims versus the S&P 500. We have used this chart as an argument for the bullish case for the past several years. As we mentioned in a blog post this morning, Initial Jobless Claims came in earlier this week with a sizable drop off, down to 196K versus last week's revised 204K and expectations of 210K. This week's print was not only a new low for the current cycle, it is also the lowest reading since 1969. That sort of new low could be a good sign for equities. As shown in the chart below, claims and the S&P have mirrored each other since bottoming following the financial crisis. (In the chart, we have inverted claims on the right axis.) As the S&P 500 inches its way back towards all time highs, so has claims towards new lows. Additionally, with recent low prints for claims bucking what had previously appeared to be an upside trend reversal, the bullish case for the S&P 500 is growing.
(CLICK HERE FOR THE CHART!)

Optimism Growing Again

The American Association of Individual Investors updated their weekly investor sentiment survey this morning and the results are very similar to the final days of February with bullish sentiment around 40%, bearish down near 20%, and neutral once again in the upper 30's. Up from 35.02% last week, bullish sentiment has crossed back over the 40% threshold; the first time it has done so since the previously mentioned week in February. While bullish sentiment is sitting a couple of points above the historical average, this is still several percentage points from reaching any sort of extreme level (more than one standard deviation above the aforementioned average). For that to happen, bullish sentiment would have to come in above 48.36%. If that occurs, then it could be a sign that investors are getting a little too optimistic.
(CLICK HERE FOR THE CHART!)
Bearish sentiment, on the other hand, fell all the way back down to 20.38% this week, the lowest since its 20% reading on February 28th. That is around 10% less than the historical average for bearish sentiment. That is also at the lower end of the range bearish sentiment has stayed within in the past decade.
(CLICK HERE FOR THE CHART!)
Neutral sentiment has still yet to have moved above or below the upper 30's coming in at 39.33% this week after falling from similar levels down to 36.71% last week. That is the third time in the past month that neutral sentiment has come in between 39% and 40%.
(CLICK HERE FOR THE CHART!)

The December Low Indicator Has Bulls Smiling

After the best first quarter for the S&P 500 Index since 1998, the big question is: What happens next? We’ve already discussed why a good start to a year could lead to more gains (here and here), but today we will take a look at another potentially positive signal.
The December Low Indicator was created in the 1970s by Lucien Hooper, a former Forbes columnist and Wall Street analyst. Simply put, the indicator says that if the S&P 500 closes beneath the December low during the first quarter, it’s a warning sign for potential weakness over the balance of the year. The flipside is if it doesn’t, good times could be coming. Given the S&P 500 just went all of the first quarter without closing beneath the December 24 low, it’s worth taking a deeper dive.
Sure enough, there appears to be some truth to this concept. “The December low indicator seems quite simple, but it has a tremendous track record,” explained LPL Senior Market Strategist Ryan Detrick. “When the S&P 500 stays above the December lows throughout the first quarter, the full year has been higher an incredible 34 out of the last 34 times, which bodes well for 2019.” In fact, this warning even worked last year, as it triggered in the first quarter of 2018 and eventually played out during the big fourth quarter sell-off.
As our LPL Chart of the Day shows, when the S&P 500 stays above the December lows in the first quarter, the full year does quite well.
(CLICK HERE FOR THE CHART!)

STOCK MARKET VIDEO: Stock Market Analysis Video for April 12th, 2019

(CLICK HERE FOR THE YOUTUBE VIDEO!)

STOCK MARKET VIDEO: Are Stocks Going UP Next Week? | Earnings Season Kick-Off! | ShadowTrader Video 04.14.19

(CLICK HERE FOR THE YOUTUBE VIDEO!)
Here are the most notable companies (tickers) reporting earnings in this upcoming trading week ahead-
  • $NFLX
  • $BAC
  • $C
  • $GS
  • $UNH
  • $JNJ
  • $APHA
  • $PIXY
  • $SCHW
  • $MTB
  • $PGR
  • $IBM
  • $ABT
  • $MS
  • $PEP
  • $BLK
  • $CMA
  • $TEAM
  • $CSX
  • $KMI
  • $AA
  • $URI
  • $ERIC
  • $WIT
  • $KSU
  • $UAL
  • $PLD
  • $ASML
  • $USB
  • $BK
  • $TXT
  • $FHN
  • $JBHT
  • $ISRG
  • $PNFP
  • $PIR
  • $LVS
  • $MLNX
  • $MBWM
  • $CCI
  • $SKX
  • $BMI
(CLICK HERE FOR NEXT WEEK'S MOST NOTABLE EARNINGS RELEASES!)
(CLICK HERE FOR NEXT WEEK'S HIGHEST VOLATILITY EARNINGS RELEASES!)
(CLICK HERE FOR MONDAY MORNING'S MOST NOTABLE 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 4.15.19 Before Market Open:

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

Monday 4.15.19 After Market Close:

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

Tuesday 4.16.19 Before Market Open:

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

Tuesday 4.16.19 After Market Close:

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

Wednesday 4.17.19 Before Market Open:

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

Wednesday 4.17.19 After Market Close:

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

Thursday 4.18.19 Before Market Open:

([CLICK HERE FOR THURSDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!]())
N/A.

Thursday 4.18.19 After Market Close:

([CLICK HERE FOR THURSDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!]())
N/A.

Friday 4.19.19 Before Market Open:

([CLICK HERE FOR FRIDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!]())
NONE. (U.S. MARKETS CLOSED IN OBSERVANCE OF GOOD FRIDAY).

Friday 4.19.19 After Market Close:

([CLICK HERE FOR FRIDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!]())
NONE. (U.S. MARKETS CLOSED IN OBSERVANCE OF GOOD FRIDAY).

Netflix, Inc. $351.14

Netflix, Inc. (NFLX) is confirmed to report earnings at approximately 4:00 PM ET on Tuesday, April 16, 2019. The consensus earnings estimate is $0.57 per share on revenue of $4.49 billion and the Earnings Whisper ® number is $0.60 per share. Investor sentiment going into the company's earnings release has 66% expecting an earnings beat The company's guidance was for earnings of approximately $0.56 per share. Consensus estimates are for earnings to decline year-over-year by 10.94% with revenue increasing by 21.32%. Short interest has increased by 10.5% since the company's last earnings release while the stock has drifted lower by 0.2% from its open following the earnings release to be 4.2% above its 200 day moving average of $336.83. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, April 12, 2019 there was some notable buying of 7,925 contracts of the $400.00 call expiring on Thursday, April 18, 2019. Option traders are pricing in a 4.3% move on earnings and the stock has averaged a 5.9% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Bank of America Corp. $30.17

Bank of America Corp. (BAC) is confirmed to report earnings at approximately 6:45 AM ET on Tuesday, April 16, 2019. The consensus earnings estimate is $0.65 per share on revenue of $23.29 billion and the Earnings Whisper ® number is $0.67 per share. Investor sentiment going into the company's earnings release has 69% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 4.84% with revenue decreasing by 14.11%. Short interest has decreased by 25.1% since the company's last earnings release while the stock has drifted higher by 7.3% from its open following the earnings release to be 5.3% above its 200 day moving average of $28.66. Overall earnings estimates have been revised higher since the company's last earnings release. On Tuesday, April 9, 2019 there was some notable buying of 32,141 contracts of the $27.00 put and 32,059 contracts of the $32.00 call expiring on Friday, August 16, 2019. Option traders are pricing in a 2.6% move on earnings and the stock has averaged a 2.6% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Citigroup, Inc. $67.42

Citigroup, Inc. (C) is confirmed to report earnings at approximately 8:00 AM ET on Monday, April 15, 2019. The consensus earnings estimate is $1.78 per share on revenue of $18.71 billion and the Earnings Whisper ® number is $1.84 per share. Investor sentiment going into the company's earnings release has 58% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 5.95% with revenue decreasing by 22.15%. Short interest has decreased by 12.5% since the company's last earnings release while the stock has drifted higher by 20.2% from its open following the earnings release to be 3.2% above its 200 day moving average of $65.31. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, March 29, 2019 there was some notable buying of 17,657 contracts of the $59.00 put expiring on Thursday, April 18, 2019. Option traders are pricing in a 2.3% move on earnings and the stock has averaged a 2.3% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Goldman Sachs Group, Inc. $207.84

Goldman Sachs Group, Inc. (GS) is confirmed to report earnings at approximately 7:40 AM ET on Monday, April 15, 2019. The consensus earnings estimate is $4.74 per share on revenue of $8.97 billion and the Earnings Whisper ® number is $5.21 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 31.80% with revenue decreasing by 10.62%. Short interest has increased by 9.7% since the company's last earnings release while the stock has drifted higher by 11.1% from its open following the earnings release to be 0.1% below its 200 day moving average of $208.02. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, April 12, 2019 there was some notable buying of 6,817 contracts of the $220.00 call and 5,555 contracts of the $195.00 put expiring on Thursday, April 18, 2019. Option traders are pricing in a 2.7% move on earnings and the stock has averaged a 3.1% move in recent quarters.

(CLICK HERE FOR THE CHART!)

UnitedHealth Group, Inc. $223.22

UnitedHealth Group, Inc. (UNH) is confirmed to report earnings at approximately 5:55 AM ET on Tuesday, April 16, 2019. The consensus earnings estimate is $3.59 per share on revenue of $59.66 billion and the Earnings Whisper ® number is $3.66 per share. Investor sentiment going into the company's earnings release has 72% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 18.09% with revenue increasing by 8.10%. Short interest has decreased by 1.1% since the company's last earnings release while the stock has drifted lower by 10.7% from its open following the earnings release to be 13.4% below its 200 day moving average of $257.63. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, April 12, 2019 there was some notable buying of 4,190 contracts of the $227.50 call and 3,732 contracts of the $227.50 put expiring on Thursday, April 18, 2019. Option traders are pricing in a 3.0% move on earnings and the stock has averaged a 3.6% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Johnson & Johnson $135.98

Johnson & Johnson (JNJ) is confirmed to report earnings at approximately 6:40 AM ET on Tuesday, April 16, 2019. The consensus earnings estimate is $2.03 per share on revenue of $19.63 billion and the Earnings Whisper ® number is $2.06 per share. Investor sentiment going into the company's earnings release has 48% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 1.46% with revenue decreasing by 1.89%. Short interest has decreased by 22.0% since the company's last earnings release while the stock has drifted higher by 6.1% from its open following the earnings release to be 1.0% above its 200 day moving average of $134.65. Overall earnings estimates have been revised lower since the company's last earnings release. On Monday, April 8, 2019 there was some notable buying of 1,510 contracts of the $170.00 call expiring on Friday, January 17, 2020. Option traders are pricing in a 1.9% move on earnings and the stock has averaged a 2.6% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Aphria Inc. $10.10

Aphria Inc. (APHA) is confirmed to report earnings at approximately 7:05 AM ET on Monday, April 15, 2019. The consensus estimate is for a loss of $0.04 per share on revenue of $41.11 million. Investor sentiment going into the company's earnings release has 70% expecting an earnings beat. Short interest has decreased by 26.9% since the company's last earnings release while the stock has drifted higher by 57.1% from its open following the earnings release. On Thursday, April 11, 2019 there was some notable buying of 1,595 contracts of the $9.50 put expiring on Thursday, April 18, 2019. Option traders are pricing in a 6.9% move on earnings and the stock has averaged a 5.2% move in recent quarters.

(CLICK HERE FOR THE CHART!)

ShiftPixy, Inc. $1.20

ShiftPixy, Inc. (PIXY) is confirmed to report earnings at approximately 8:00 AM ET on Monday, April 15, 2019. The consensus estimate is for a loss of $0.10 per share on revenue of $14.84 million. Investor sentiment going into the company's earnings release has 59% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 11.11% with revenue increasing by 88.16%. Short interest has decreased by 14.8% since the company's last earnings release while the stock has drifted lower by 34.8% from its open following the earnings release to be 54.0% below its 200 day moving average of $2.61. Overall earnings estimates have been revised lower since the company's last earnings release. The stock has averaged a 27.8% move on earnings in recent quarters.

(CLICK HERE FOR THE CHART!)

Charles Schwab Corp. $45.35

Charles Schwab Corp. (SCHW) is confirmed to report earnings at approximately 8:45 AM ET on Monday, April 15, 2019. The consensus earnings estimate is $0.66 per share on revenue of $2.70 billion and the Earnings Whisper ® number is $0.68 per share. Investor sentiment going into the company's earnings release has 61% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 20.00% with revenue increasing by 12.59%. Short interest has decreased by 5.4% since the company's last earnings release while the stock has drifted lower by 0.7% from its open following the earnings release to be 3.8% below its 200 day moving average of $47.14. Overall earnings estimates have been revised lower since the company's last earnings release. On Wednesday, April 10, 2019 there was some notable buying of 3,000 contracts of the $43.50 put expiring on Thursday, April 18, 2019. Option traders are pricing in a 2.6% move on earnings and the stock has averaged a 2.9% move in recent quarters.

(CLICK HERE FOR THE CHART!)

M&T Bank Corp $167.76

M&T Bank Corp (MTB) is confirmed to report earnings at approximately 6:35 AM ET on Monday, April 15, 2019. The consensus earnings estimate is $3.29 per share on revenue of $1.50 billion and the Earnings Whisper ® number is $3.35 per share. Investor sentiment going into the company's earnings release has 48% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 11.90% with revenue decreasing by 2.65%. Short interest has decreased by 2.4% since the company's last earnings release while the stock has drifted higher by 5.6% from its open following the earnings release to be 1.6% above its 200 day moving average of $165.09. Overall earnings estimates have been revised higher since the company's last earnings release. On Friday, April 12, 2019 there was some notable buying of 841 contracts of the $165.00 put expiring on Thursday, April 18, 2019. Option traders are pricing in a 3.3% move on earnings and the stock has averaged a 3.0% 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 Sunday and a great trading week ahead to everyone here on wallstreetbets!
submitted by bigbear0083 to wallstreetbets [link] [comments]

Hello, new traders. Here are a few words from my four and a half years of experience.

Hey! I’m a full time currency and cryptocurrency trader, I need to point out a few major fallacies and misconceptions I frequently see in this community and others.
First up. If it’s your first year trading expect to fail. Actually, if there was a contract I could buy that’d pay me out if you ended up liquidating your account in the next 12 months, I’d literally bet on your failure. You need to immediately reduce your trading account to 1/10th of its original size for your first year of trading. Seriously, do it. You are betting that you can outperform billions of dollars of institutional order flow, typically with basic patterns or default setting indicators with no experience. Which brings me to my next point.
Your strategy is not your identity, stop treating what you use to trade as dogma. That indicator or pattern you’re using, can you tell me why it works? Not HOW to use it, but what fundamental paradigm it uses to accurately predict future price action. There are legitimate answers, but trying to use your indicators/patterns without understanding why is like driving across the country without knowing how to open or what’s inside the hood or your car. Sure, you’re going to get pretty far, but eventually it’ll break down and you won’t have a clue what to do, stranded and starving in the middle of the desert.
Chances are, while you were reading this you came up with one of three answers in your head as to why your indicatopattern works. Let me guess. “Everyone else uses it, it’s made me money so far, it’s natures law (for you Fibonacci folks,) or it’s a proven standard.” All of those are appeal to authority fallacies. For instance....
How does a compass work? Are the answers “well everybody else uses compasses” or “compasses are a proven standard” WHY a compass works? If you don’t know how a compass works and you’re lost, you aren’t going to know what variables will stop the compass from working. You might be in the Southern Hemisphere, that’d lead you in the exact opposite direction, but you wouldn’t know it because you DON’T KNOW WHY it works. Then die of starvation shortly after because you didn’t understand a tool paramount to your survival and couldn’t find your way back to civilization. If you’re lost in the ocean of institutional investors, AT LEAST understand why your tools work.
For instance, why does divergence work? You probably know that divergence represents a reversal.
Divergence doesn’t form because of “price” or “its losing momentum,” divergence forms because an oscillator defines a data set that expands and contracts based on the activity in the period lookback you define for it. When you have an expanding data set, it requires increasingly drastic moves to register the same “extreme” values. If you have a tight data set and you have a huge outlier, the data set widens to compensate with every candle close. So now that you have a wider data set, an equal move would register as a less extreme event as defined by the oscillator. That’s why divergence forms/works.
Seriously, it’s worth learning these things. Unless you can explain why something works like I just did with divergence you shouldn’t EVER use it in your arsenal. Then if you do take the time to learn the “why,” you’ll start realizing that a lot of the commonly accepted tools are fundamentally broken. For instance, with your new understanding of divergence, think about overbought or oversold signals. Why would a new outlier of a data set imply a return to the center of the data set if the data set is in an active state of expansion, CAUSED by the outlier?
Now if you’re relying on an appeal to authority fallacy for understanding, could it be that the authority that presented the information doesn’t have your best interest at heart? Breakout patterns for example. If you have a bull flag, and you’re betting on bullish trend continuation, I’ll take a wild guess about where you put your stop loss. Oh, below the bull flag? Large players know this and will scoop up your stops before pushing price up. How often have you said, “wow, I was right but I stopped out just before trend continuation!” The “golden standard” of technical analysis is only so to make the masses of retail traders a predictable herd of cattle.
Also, stay away from entirely subjective strategies that will always appear correct in hindsight. Oh, how many times have you redrawn that Elliot wave extension to match what happened instead of what you predicted? Don’t you dare bring up the Fibonacci to justify your subjective drawings either. Fibonacci doesn’t work because “it’s natures law” or the “golden rule,” it just happens to be very similar to the first standard deviation of any price move. So why are you using a static reading to predict a dynamic value that changes with every candle close?
For TA that actually works (if you use it correctly,) I can recommend ichimoku, though only on macro timeframes and requires a lot of reading to use properly.
Mark Whistler’s books on volatility are my biggest recommendation to learn. Any strategy using WAVE PM and 3D WAVE PM are ideal, treating price strictly as reactionary, multiperiod probability distributions gives an excellent “why” in the chaos of the markets. The compression and expansion cycles can be defined to the exact period on any timeframe with the right readings. I created a write up a while back going in depth on my findings on probability distributions here. https://www.reddit.com/Forex/comments/ah5bxo/lets_talk_about_the_basics_of_advanced_volatility/?utm_source=share&utm_medium=ios_app
I also created a google doc over the years and filled it with a few resources I’ve used to learn, I can hand it out if you dm me.
Finally, don’t forget to do your FA. Macro level economic indications are incredibly important for defining the long term alignment of expectations. However never trade the news, this is an important distinction. Don’t bet that the US dollar will go down because Trump made a stupid tweet, please. What you SHOULD do is measure the strength of the move and the EXPANSION caused by the FA and identify where the compression begins afterwards. For every period of expansion, there is a predictable compressionary range that follows that is equal to the expansion. For every action there’s an equal and opposite reaction. Instead of betting on the news, bet on the reaction after the news has cooled off.
That’s all that immediately comes to mind. Feel free to ask any questions.
submitted by FallacyDog to Forex [link] [comments]

Mainfinex: The Panacea to the Future

Mainfinex: The Panacea to the Future

Mainfinex

MAINFINEX offers a trusted exchange that crypto traders can use to make informed trades and participate in the cryptocurrency market. At the time of launch, MAINFINEX offers 15 different cryptocurrency pairs, all of which include USDT. The MAINFINEX cryptocurrency exchange offers something for every type of trader, regardless of experience level. Beginners will appreciate the intuitive interface and the fact that MAINFINEX uses Tradingview charts, which have numerous online tutorials for guidance. Advanced traders will appreciate the hundreds of drawing tools, the vast quantity of indicators, and high level of customization for charts.
Challenges faced by cryptocurrency exchanges today:
● Failure to apply global financial practices, and poor interface
● Large number of exchanges with little differentiation which complicates the choice of platform for operations
● Large number of unsuccessful traders losing money
● Pain points that are still there.

Exchange
Our understanding of the needs of the key trading parties in digital exchanges comes down to the concept “Traders seek liquidity and investors need profitability.”
  1. Liquidity and profitability
A mechanism we could build in to solve the problems of traders and long-term investors based on the exchange policy related to
trading fees:
  • Flexible interest rate depending on the volume, thus reducing the trading fee. The more activity in a trading section, the cheaper it is for that section
  • Fees reduced in case of severe price deviation. To reduce volatility and slippage and thus increase liquidity, market-making traders creating liquidity will be charged at a lower rate. The increase in volumes triggered by the reduced fee in case of price deviation will help smoothen out volatility.
  1. Reliability
Traders bearing losses have a regressive fee scale depending on the volume of the loss. This mechanism serves to mitigate the consequences of unfavorable deals for a trader.
  1. Sustainability “Back to the battle” Traders who have lost money but made it to the daily TOP 100 based on the volume will receive tokens compensating all the fees they paid or part of the losses. This will help stimulate liquidity in the exchange and create best cryptocurrency market conditions for arbitrage funds. Such funds account for up 80% of transaction in fiat exchanges.
  2. Concept: gaming elements of the exchange, buttons, etc. “Titles and statuses” With the emergence of cryptocurrencies, the world of finance has been transformed. It has to be clear and relevant for our users since the key audience of the exchange is 25-38 years old. Which means they played DOOM 2 when they were school students (in 1994). Why can’t we give simple names to complex financial instruments? It was the stunts and dirty tricks that guys in suits from investment banks played that eventually caused the mortgage crisis. We have selected the most popular financial instruments that we can provide. They can be understood and activated in one click. We have chosen simple names for them:
● "Forecast”
This button activates an analytical indicator used by most profitable traders
● "Call for help”
Activates a trading robot that will close transactions for you based on algorithms. Trading robots will be provided by successful third party funds
● "Stop me”
Block trading activity for two days. This is a mechanism that successful traders recommend to newbies. Breaks in trading activity help increase the accuracy of decisions and overall profitability
● "Join the group”
This function lets the user transfer money to a pool of professional traders. Similar to PAMM accounts in forex companies
● “Saving up for retirement”
10% from each profitable transaction will be automatically transferred to the annual/call deposit. Many experienced traders who work for themselves do not care about savings because trading is a constant source of big income. Having such a long-term deposit is one of the key ways to ensure security and can even save a family in the bad times
● “Work for us”
Traders without substantial deposits but with free working hours can make money by performing important tasks for the exchange, like in Amazon Mechanical Turk
● “Vanity fair”
Most successful traders may share their divine trading strategies in a master class for traders, with payment in our tokens.
  1. To benefit from certain options like the trading robot or funds management, users will be required to perform specific actions, e.g.: Purchasing exchange tokens. Equivalent free options: e.g., reposting our news daily throughout a month, which will also help expand the user’s subscriber base.
  2. Purchasing liquidity from “mini exchanges”
A partner exchange that will provide liquidity for trading in our exchange or display our depth of market diagram on its website will receive all the relevant fees collected in our tokens. This is how this mechanism works. Mini exchanges have a permanent audience of traders creating liquidity but due to the small volumes, the mutual liquidity among the participants is low and transactions are infrequent. This is a case of “the chicken or the egg” problem. The more users there are, the more frequently the transactions occur between the same users. Accordingly, a mini exchange will be able to increase the volume of fees collected by 3-4 times by using this opportunity.
  1. IEO sale
A shopping cart with all kinds of tokens. Includes both potentially successful and unsuccessful coins that cannot afford to pay the listing fee on their own. We collect the entire pool in a cart and sell it as one portfolio at a greatly reduced price. This gives unsuccessful ICO projects an opportunity to return part of the invested funds. And the users buying such assets at a rate below the cost level have more chances of profiting from price growth. The higher risk of unsuccessful projects in the portfolio compensated by the low price and the potentially high profitability is the key incentive.
  1. Exchange Tutorial
Just like in complex computer games such as urban construction simulators or turn-based strategies, at the first stage the player is taught how to use the game’s functionalities before he starts playing it in the full mode. Finance and cryptocurrencies have never been simple. Every individual financial instrument is based on a complex concept. The simplicity of starting to trade cryptocurrencies and the lack of regulation in the market result in a situation when most traders lose their money and investments. The tutorial works the same simple way, providing prompts on the sequence of the steps in the exchange. We will cooperate with several financial regulators to improve this instrument in order to develop new instruments that will help mitigate the risk of losses for each individual trader. At the end, many of the regulators’ tasks come down to managing the consequences of the great financial gap between trading parties.

Information correct at time of going to type. For updated information, go to Mainfinex Exchange web platform (Mainfinex Exchange website).
Note: In the event of conflict between this information and the information on the Mainfinex Exchange Website, the information on the Mainfinex Exchange Website will prevail.
Here, I present to you Mainfinex- The Future of Cryptocurrency Exchange, Mainfinex!!!
Mainfinex Exchange website
Mainfinex Exchange WhitePaper
ETH Address: 0x49d576e54C78e17E4451E7eF9f1d9C8e55360661
Email Address: [[email protected]](mailto:[email protected])
submitted by Busganda to CryptoCurrency [link] [comments]

r/Stocks Technicals Tuesday - Dec 25, 2018

Feel free to talk about technical analysis here (not argue against it), but before you ask any question make sure you see the following information:
Technical analysis (TA) uses historical price movements, real time data, indicators based on math and/or statistics, and charts; all of which help measure the trajectory of a security. TA can also be used to interpret the actions of other market participants and predict their actions:
Measure: Is the security's price trending, has it dipped or is it a falling knife? Interpret: Does the current price mean investors think it's undervalued or overvalued; when did they buy/sell more and why? Predict: If price reaches a certain point, will there be a rally or get rejected?
The main benefit to TA is that everything shows up in the price (commonly known as priced in): All news, investor sentiment, and changes to fundamentals are reflected in a security's price.
TA is best used for short term trading, but can also be used for long term.
Intro to technical analysis by Stockcharts chartschool and their article on candlesticks
Terminology
Useful indicators
Methods or Systems
Strategies: See the TA wiki here as this will be a work in progress, feel free to reply with your own strategy.
See our past daily discussions here. Also links for: Technicals Tuesday, Options Trading Thursday, and Fundamentals Friday.
submitted by AutoModerator to stocks [link] [comments]

r/Stocks Technicals Tuesday - Nov 27, 2018

Feel free to talk about technical analysis here (not argue against it), but before you ask any question make sure you see the following information:
Technical analysis (TA) uses historical price movements, real time data, indicators based on math and/or statistics, and charts; all of which help measure the trajectory of a security. TA can also be used to interpret the actions of other market participants and predict their actions:
Measure: Is the security's price trending, has it dipped or is it a falling knife? Interpret: Does the current price mean investors think it's undervalued or overvalued; when did they buy/sell more and why? Predict: If price reaches a certain point, will there be a rally or get rejected?
The main benefit to TA is that everything shows up in the price (commonly known as priced in): All news, investor sentiment, and changes to fundamentals are reflected in a security's price.
TA is best used for short term trading, but can also be used for long term.
Intro to technical analysis by Stockcharts chartschool and their article on candlesticks
Terminology
Useful indicators
Methods or Systems
Strategies: See the TA wiki here as this will be a work in progress, feel free to reply with your own strategy.
See our past daily discussions here. Also links for: Technicals Tuesday, Options Trading Thursday, and Fundamentals Friday.
submitted by AutoModerator to stocks [link] [comments]

For Beginners: Stablecoins: Explaining what stablecoins are and why they’re so important for the cryptocurrency industry

For Beginners: Stablecoins: Explaining what stablecoins are and why they’re so important for the cryptocurrency industry

https://preview.redd.it/0rico0vtytz11.png?width=2970&format=png&auto=webp&s=492f4edb6a613249a68f6a97c3fc70eebcac23e9
With the seemingly endless amount of coins entering the market each year, we are beginning to see various categories of digital assets emerge. One of these classifications of coins is known as stablecoins, and although you may see it as ironic that a cryptocurrency is labeled as being “stable,” that’s actually exactly what they are known for. Stablecoins make up a unique category of coins in the market that are poised to bring stability and trust back into the cryptocurrency market. With that being said, let’s go over what stablecoins are and why they are so important for the development of the cryptocurrency industry as a whole.
This is not financial investment advice. This article will touch upon key aspects of what stablecoins are and why they can help the growth of the crypto industry.

Terminology

Blockchain: The easiest way to understand blockchain is to think of it as a fully transparent and continuously updated record of the exchange of information through a network of personal computers, a system which nobody fully owns. This makes it decentralized and extremely difficult for anyone to single-handedly hack or corrupt the system, pretty much guaranteeing full validity and trust in each exchange of information.
Volatility: The rate at which the price of a security increases or decreases for a given set of returns. Volatility is measured by calculating the standard deviation of the annualized returns over a given period of time. It shows the range to which the price of a security may increase or decrease.
Fiat: Currency that a government has declared to be legal tender, but it is not backed by a physical commodity. The value of fiat money is derived from the relationship between supply and demand rather than the value of the material from which the money is made.
Decentralization: Essentially, if something is centralized, there’s a single point that does all of the work involved in any given action. On the flip side, if something is decentralized, there are multiple points that do the work.
Familiarize yourself with these key terms in order to better understand what stablecoins are.

What Are Stablecoins?

To put it simply, stablecoins are cryptocurrencies that are pegged or backed by some other asset. Some forms of stablecoins are tied to assets such as the dollar or a commodity like a bar of gold or a barrel of oil. Other forms of stablecoins are backed by cryptocurrencies, or even exist as self-correcting, algorithmically-controlled systems. Essentially, stablecoins hold the promise of a half-step between traditional assets and crypto assets, taking the best from both worlds while resulting in a much more accessible and efficient form of finance.
The concept of having a stablecoin of stable currency isn’t new, as governments have been considering the implementation of this idea for quite some time now. National governments have the same motivation as crypto economies to deal in stable assets, as volatility in any kind of currency scheme can lead to wild speculation and boom and bust values. Historically, there have been a few different ways of implementing currency pegs at the national scale. Some countries just start using another country’s currency in lieu of their own as legal tender. Other governments have decided to set a fixed peg, while others determine an acceptable range and let their currency float within a range in relation to the peg.
Even within the cryptocurrency world, people have been experimenting, with mixed results, with stablecoin design and setup. Tether is one of the most prominent stablecoins, which is a blockchain-based cryptocurrency whose coins in circulation are backed by an equivalent amount of traditional fiat currencies, like the dollar, the euro or the Japanese yen, which are held in a designated bank account. Tether tokens, the native tokens of the Tether network, trade under the USDT symbol.
Stablecoins are cryptocurrencies that are backed by another asset, such as fiat money or another algorithmically-controlled system. This keeps the value of that coins stable and lowers the threat of high volatility.

How Can They Impact The Crypto industry?

By definition, stablecoins are inherently different than the rest of the cryptocurrencies in the industry, as their value is determined and derived differently. With all the criticism and skepticism surrounding the industry today, many people have pointed to stablecoins as being one of the biggest proponents in legitimizing the cryptocurrency market as a viable asset class.
Stablecoins could quickly become the universally accepted, international currency of the future. They have the potential to empower everyone to take part in an evolving crypto-economy, without compromising security and freedom. If implemented at scale, they are poised to become a foundational component of the next-generation economy. One of the biggest attacks against the cryptocurrency market is that the coins are too volatile and that they have no safe backing. Stablecoins solve both of those issues while still serving as a digital asset that can perpetuate excitement for the market as a whole.
Stablecoins solve the issue of volatility and lack of inherent value by having an actual asset which determines its value. At this point, they can serve as mediums of payment and monetary value while maintaining a stable price.

Conclusion

Sure, the cryptocurrency market may be filled with coins that are highly volatile and may not have the backing of inherently valuable assets, but what if there were coins that could satisfy all of these points? Well, with stablecoins, all of these issues are solved and the possibility of using these coins as mediums of payments becomes real. Imagine having the ability to use a cryptocurrency that is essentially valued the same as other widely-used assets like fiat money, oil, or even gold? The digital asset economy is quickly revolutionizing the world, so keep an eye out for this category of cryptocurrencies to one day become the future of the industry.
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Have you used stablecoins before? What are some of our favorite stablecoins in the market? Let us know why in the comments!
submitted by CoinBundle to coinbundle [link] [comments]

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