Currency Market What is Currency Market IFCM

Forex Trading Advice, Tips, & Rumors

A community to discuss your latest forex trades, tips, rumors, and advice.
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Forex Zone

Forex news - Currency Trading Strategies - Money Management - Indicators - Expert Advisors - Risk Analysis **Corporate accounts or brokers are not allowed. Go hunt for clients elsewhere**
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r/CryptoMarkets

FOREX community for cryptocurrencies. Tags: mt gox bitcoin, long term potential, open source exchange, low inflation rate, demand and price, technical analysis, fundamentals, Bitcoin, Ethereum, Litecoin, Monero, Dash, Augur, token, volume, oscillator, RSI, stochastic, trend, sentiment, strategy, scam, coin, coinmarketcap, altcoin, Peercoin, script, blockchain, PoW, PoS, Proof of Work,
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Asian currencies remain subdued in forex, following Easter Monday holidays in key markets excluding Japan and China. https://www.financebrokerage.com/currencies-fall-opec-cuts-disappoint/

Asian currencies remain subdued in forex, following Easter Monday holidays in key markets excluding Japan and China. https://www.financebrokerage.com/currencies-fall-opec-cuts-disappoint/ submitted by FinanceBrokerage to u/FinanceBrokerage [link] [comments]

I think this is very useful data model to trade the forex market. this is a live single currency strength chart. The website is named www.forextatistics.com

submitted by jaimelama2112 to forex_trades [link] [comments]

Forex & Currency Update #26 (November 06, 2020): Forex Reserves in SBP - $12.74 Billion (+4.58%); USD/PKR - 158.11 (-0.652%)

I don't even know how often I should update.
The percentage changes in the title are compared to the figures seven days ago.

Size of the Forex Reserves of Pakistan since October 02

Date Foreign Exchange Reserves in the SBP Week-on-Week Percentage Change (In SBP) Month-on-Month Percentage Change(In SBP)** Total Foreign Exchange Reserves Week-on-Week Percentage Change (Total) Month-on-Month Percentage Change (Total)**
October 02, 2020 $12.1547 Billion -1.66% -5.10% $19.3510 Billion -0.94% -3.06%
October 09, 2020 $11.7984 Billion -2.93% +7.97% $19.0155 Billion -1.73% -4.73%
October 16, 2020 $12.0666 Billion +2.27% -5.00% $19.3016 Billion +1.50% -3.03%
October 23, 2020 $12.1215 Billion +0.45% -1.93% $19.2965 Billion -0.03% -1.22%
October 29, 2020* $12.1826 Billion +0.50% +0.23% $19.3536 Billion +0.30% +0.01%
November 06, 2020 $12.7405 Billion +4.58% +7.98% $19.9069 Billion +2.86% +4.69%
*October 30, 2020 was a public holiday
**A month refers to four weeks, as the data is released on a weekly basis.

USD/PKR Mid-Market Daily Average Exchange Rate since October 02

Date USD to PKR Exchange Rate Week-on-Week Percentage Change Month-on-Month Percentage Change**
October 02, 2020 164.62595 -1.0503% -0.7520%
October 09, 2020 163.78035 -0.5136% -1.3190%
October 16, 2020 162.69505 -0.6627% -1.8605%
October 23, 2020 161.54865 -0.7046% -2.4914%
October 29, 2020* 160.37880 -0.7241% -2.5799%
November 06, 2020 159.15100 -0.7656% -2.8266%
November 13, 2020 158.11275 -0.6524% -2.8165%
*October 30, 2020 was a public holiday
**A month refers to four weeks to keep consistent with the last chart
Foreign Exchange Reserve Size Source
Forex Data archived on November 14, 2020
USD/PKR Exchange Rate Source
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submitted by AAAbbasi786 to pakistan [link] [comments]

Former investment bank FX trader: some thoughts

Former investment bank FX trader: some thoughts
Hi guys,
I have been using reddit for years in my personal life (not trading!) and wanted to give something back in an area where i am an expert.
I worked at an investment bank for seven years and joined them as a graduate FX trader so have lots of professional experience, by which i mean I was trained and paid by a big institution to trade on their behalf. This is very different to being a full-time home trader, although that is not to discredit those guys, who can accumulate a good amount of experience/wisdom through self learning.
When I get time I'm going to write a mid-length posts on each topic for you guys along the lines of how i was trained. I guess there would be 15-20 topics in total so about 50-60 posts. Feel free to comment or ask questions.
The first topic is Risk Management and we'll cover it in three parts
Part I
  • Why it matters
  • Position sizing
  • Kelly
  • Using stops sensibly
  • Picking a clear level

Why it matters

The first rule of making money through trading is to ensure you do not lose money. Look at any serious hedge fund’s website and they’ll talk about their first priority being “preservation of investor capital.”
You have to keep it before you grow it.
Strangely, if you look at retail trading websites, for every one article on risk management there are probably fifty on trade selection. This is completely the wrong way around.
The great news is that this stuff is pretty simple and process-driven. Anyone can learn and follow best practices.
Seriously, avoiding mistakes is one of the most important things: there's not some holy grail system for finding winning trades, rather a routine and fairly boring set of processes that ensure that you are profitable, despite having plenty of losing trades alongside the winners.

Capital and position sizing

The first thing you have to know is how much capital you are working with. Let’s say you have $100,000 deposited. This is your maximum trading capital. Your trading capital is not the leveraged amount. It is the amount of money you have deposited and can withdraw or lose.
Position sizing is what ensures that a losing streak does not take you out of the market.
A rule of thumb is that one should risk no more than 2% of one’s account balance on an individual trade and no more than 8% of one’s account balance on a specific theme. We’ll look at why that’s a rule of thumb later. For now let’s just accept those numbers and look at examples.
So we have $100,000 in our account. And we wish to buy EURUSD. We should therefore not be risking more than 2% which $2,000.
We look at a technical chart and decide to leave a stop below the monthly low, which is 55 pips below market. We’ll come back to this in a bit. So what should our position size be?
We go to the calculator page, select Position Size and enter our details. There are many such calculators online - just google "Pip calculator".

https://preview.redd.it/y38zb666e5h51.jpg?width=1200&format=pjpg&auto=webp&s=26e4fe569dc5c1f43ce4c746230c49b138691d14
So the appropriate size is a buy position of 363,636 EURUSD. If it reaches our stop level we know we’ll lose precisely $2,000 or 2% of our capital.
You should be using this calculator (or something similar) on every single trade so that you know your risk.
Now imagine that we have similar bets on EURJPY and EURGBP, which have also broken above moving averages. Clearly this EUR-momentum is a theme. If it works all three bets are likely to pay off. But if it goes wrong we are likely to lose on all three at once. We are going to look at this concept of correlation in more detail later.
The total amount of risk in our portfolio - if all of the trades on this EUR-momentum theme were to hit their stops - should not exceed $8,000 or 8% of total capital. This allows us to go big on themes we like without going bust when the theme does not work.
As we’ll see later, many traders only win on 40-60% of trades. So you have to accept losing trades will be common and ensure you size trades so they cannot ruin you.
Similarly, like poker players, we should risk more on trades we feel confident about and less on trades that seem less compelling. However, this should always be subject to overall position sizing constraints.
For example before you put on each trade you might rate the strength of your conviction in the trade and allocate a position size accordingly:

https://preview.redd.it/q2ea6rgae5h51.png?width=1200&format=png&auto=webp&s=4332cb8d0bbbc3d8db972c1f28e8189105393e5b
To keep yourself disciplined you should try to ensure that no more than one in twenty trades are graded exceptional and allocated 5% of account balance risk. It really should be a rare moment when all the stars align for you.
Notice that the nice thing about dealing in percentages is that it scales. Say you start out with $100,000 but end the year up 50% at $150,000. Now a 1% bet will risk $1,500 rather than $1,000. That makes sense as your capital has grown.
It is extremely common for retail accounts to blow-up by making only 4-5 losing trades because they are leveraged at 50:1 and have taken on far too large a position, relative to their account balance.
Consider that GBPUSD tends to move 1% each day. If you have an account balance of $10k then it would be crazy to take a position of $500k (50:1 leveraged). A 1% move on $500k is $5k.
Two perfectly regular down days in a row — or a single day’s move of 2% — and you will receive a margin call from the broker, have the account closed out, and have lost all your money.
Do not let this happen to you. Use position sizing discipline to protect yourself.

Kelly Criterion

If you’re wondering - why “about 2%” per trade? - that’s a fair question. Why not 0.5% or 10% or any other number?
The Kelly Criterion is a formula that was adapted for use in casinos. If you know the odds of winning and the expected pay-off, it tells you how much you should bet in each round.
This is harder than it sounds. Let’s say you could bet on a weighted coin flip, where it lands on heads 60% of the time and tails 40% of the time. The payout is $2 per $1 bet.
Well, absolutely you should bet. The odds are in your favour. But if you have, say, $100 it is less obvious how much you should bet to avoid ruin.
Say you bet $50, the odds that it could land on tails twice in a row are 16%. You could easily be out after the first two flips.
Equally, betting $1 is not going to maximise your advantage. The odds are 60/40 in your favour so only betting $1 is likely too conservative. The Kelly Criterion is a formula that produces the long-run optimal bet size, given the odds.
Applying the formula to forex trading looks like this:
Position size % = Winning trade % - ( (1- Winning trade %) / Risk-reward ratio
If you have recorded hundreds of trades in your journal - see next chapter - you can calculate what this outputs for you specifically.
If you don't have hundreds of trades then let’s assume some realistic defaults of Winning trade % being 30% and Risk-reward ratio being 3. The 3 implies your TP is 3x the distance of your stop from entry e.g. 300 pips take profit and 100 pips stop loss.
So that’s 0.3 - (1 - 0.3) / 3 = 6.6%.
Hold on a second. 6.6% of your account probably feels like a LOT to risk per trade.This is the main observation people have on Kelly: whilst it may optimise the long-run results it doesn’t take into account the pain of drawdowns. It is better thought of as the rational maximum limit. You needn’t go right up to the limit!
With a 30% winning trade ratio, the odds of you losing on four trades in a row is nearly one in four. That would result in a drawdown of nearly a quarter of your starting account balance. Could you really stomach that and put on the fifth trade, cool as ice? Most of us could not.
Accordingly people tend to reduce the bet size. For example, let’s say you know you would feel emotionally affected by losing 25% of your account.
Well, the simplest way is to divide the Kelly output by four. You have effectively hidden 75% of your account balance from Kelly and it is now optimised to avoid a total wipeout of just the 25% it can see.
This gives 6.6% / 4 = 1.65%. Of course different trading approaches and different risk appetites will provide different optimal bet sizes but as a rule of thumb something between 1-2% is appropriate for the style and risk appetite of most retail traders.
Incidentally be very wary of systems or traders who claim high winning trade % like 80%. Invariably these don’t pass a basic sense-check:
  • How many live trades have you done? Often they’ll have done only a handful of real trades and the rest are simulated backtests, which are overfitted. The model will soon die.
  • What is your risk-reward ratio on each trade? If you have a take profit $3 away and a stop loss $100 away, of course most trades will be winners. You will not be making money, however! In general most traders should trade smaller position sizes and less frequently than they do. If you are going to bias one way or the other, far better to start off too small.

How to use stop losses sensibly

Stop losses have a bad reputation amongst the retail community but are absolutely essential to risk management. No serious discretionary trader can operate without them.
A stop loss is a resting order, left with the broker, to automatically close your position if it reaches a certain price. For a recap on the various order types visit this chapter.
The valid concern with stop losses is that disreputable brokers look for a concentration of stops and then, when the market is close, whipsaw the price through the stop levels so that the clients ‘stop out’ and sell to the broker at a low rate before the market naturally comes back higher. This is referred to as ‘stop hunting’.
This would be extremely immoral behaviour and the way to guard against it is to use a highly reputable top-tier broker in a well regulated region such as the UK.
Why are stop losses so important? Well, there is no other way to manage risk with certainty.
You should always have a pre-determined stop loss before you put on a trade. Not having one is a recipe for disaster: you will find yourself emotionally attached to the trade as it goes against you and it will be extremely hard to cut the loss. This is a well known behavioural bias that we’ll explore in a later chapter.
Learning to take a loss and move on rationally is a key lesson for new traders.
A common mistake is to think of the market as a personal nemesis. The market, of course, is totally impersonal; it doesn’t care whether you make money or not.
Bruce Kovner, founder of the hedge fund Caxton Associates
There is an old saying amongst bank traders which is “losers average losers”.
It is tempting, having bought EURUSD and seeing it go lower, to buy more. Your average price will improve if you keep buying as it goes lower. If it was cheap before it must be a bargain now, right? Wrong.
Where does that end? Always have a pre-determined cut-off point which limits your risk. A level where you know the reason for the trade was proved ‘wrong’ ... and stick to it strictly. If you trade using discretion, use stops.

Picking a clear level

Where you leave your stop loss is key.
Typically traders will leave them at big technical levels such as recent highs or lows. For example if EURUSD is trading at 1.1250 and the recent month’s low is 1.1205 then leaving it just below at 1.1200 seems sensible.

If you were going long, just below the double bottom support zone seems like a sensible area to leave a stop
You want to give it a bit of breathing room as we know support zones often get challenged before the price rallies. This is because lots of traders identify the same zones. You won’t be the only one selling around 1.1200.
The “weak hands” who leave their sell stop order at exactly the level are likely to get taken out as the market tests the support. Those who leave it ten or fifteen pips below the level have more breathing room and will survive a quick test of the level before a resumed run-up.
Your timeframe and trading style clearly play a part. Here’s a candlestick chart (one candle is one day) for GBPUSD.

https://preview.redd.it/moyngdy4f5h51.png?width=1200&format=png&auto=webp&s=91af88da00dd3a09e202880d8029b0ddf04fb802
If you are putting on a trend-following trade you expect to hold for weeks then you need to have a stop loss that can withstand the daily noise. Look at the downtrend on the chart. There were plenty of days in which the price rallied 60 pips or more during the wider downtrend.
So having a really tight stop of, say, 25 pips that gets chopped up in noisy short-term moves is not going to work for this kind of trade. You need to use a wider stop and take a smaller position size, determined by the stop level.
There are several tools you can use to help you estimate what is a safe distance and we’ll look at those in the next section.
There are of course exceptions. For example, if you are doing range-break style trading you might have a really tight stop, set just below the previous range high.

https://preview.redd.it/ygy0tko7f5h51.png?width=1200&format=png&auto=webp&s=34af49da61c911befdc0db26af66f6c313556c81
Clearly then where you set stops will depend on your trading style as well as your holding horizons and the volatility of each instrument.
Here are some guidelines that can help:
  1. Use technical analysis to pick important levels (support, resistance, previous high/lows, moving averages etc.) as these provide clear exit and entry points on a trade.
  2. Ensure that the stop gives your trade enough room to breathe and reflects your timeframe and typical volatility of each pair. See next section.
  3. Always pick your stop level first. Then use a calculator to determine the appropriate lot size for the position, based on the % of your account balance you wish to risk on the trade.
So far we have talked about price-based stops. There is another sort which is more of a fundamental stop, used alongside - not instead of - price stops. If either breaks you’re out.
For example if you stop understanding why a product is going up or down and your fundamental thesis has been confirmed wrong, get out. For example, if you are long because you think the central bank is turning hawkish and AUDUSD is going to play catch up with rates … then you hear dovish noises from the central bank and the bond yields retrace lower and back in line with the currency - close your AUDUSD position. You already know your thesis was wrong. No need to give away more money to the market.

Coming up in part II

EDIT: part II here
Letting stops breathe
When to change a stop
Entering and exiting winning positions
Risk:reward ratios
Risk-adjusted returns

Coming up in part III

Squeezes and other risks
Market positioning
Bet correlation
Crap trades, timeouts and monthly limits

***
Disclaimer:This content is not investment advice and you should not place any reliance on it. The views expressed are the author's own and should not be attributed to any other person, including their employer.
submitted by getmrmarket to Forex [link] [comments]

Releasing a Decade of Forex Tick Data I Crawled and Converted

Releasing a Decade of Forex Tick Data I Crawled and Converted

Intro:

In my exploration of the world of big data and I became curious about tick data. Unfortunately, market data is almost always behind a paywall or de-sampled to the point of uselessness. After discovering the Dukascopy API, I knew I wanted to make this data available for all in a more accessible format. Over the course of a few months, I downloaded, cleaned, parsed, and compressed over a decade of Forex tick data on 37 currency pairs and commodities. Today I am happy to finally release the final result of my work to the DataHoarder community!

Download Links:

Warning: I have rented a seedbox for the next 3 months from seedbox.io but I have been having some issues. If you have any issues with the torrent please leave a comment. Also, PLEASE SEED when you are done. This is quite a large data set and I can only push so much data on my own.
Torrent File: https://drive.google.com/file/d/18ymZWeFLJK7FggK_iiWZ-TxgWIVdJVvv/view?usp=sharingCompanion Blog Post: https://www.driftinginrecursion.com/post/dukascopy_opensource_data/

Stats Overview:

Totals Quantities
Total Files 463
Total Line Count 8,495,770,706
Total Data Points 33,983,082,824
Total Decompressed Size 501 GB
Total Compressed Size 61 GB

About the Data:

The data was collected from https://www.dukascopy.com/ via a public API that allows for the download of tick data on the hour level. These files come in the form of a .bi5 file. The data starts as early as 2004 all the way to 2019.
These files were decompressed, then merged into yearly CSV’s named in the following convention. “AUDCHF_tick_UTC+0_00_2011.csv” or ‘Pair_Resolution_Timezone_Year.csv’
These CSV’s are split into 3 categories “Majors”, “Crosses”, “Commodities”.
Majors, Crosses, and Commodities have had their timestamps modified so that they are in the official UTC ISO standard. This was originally done for a Postgresql database that quickly became obsolesced. Any files that have been modified are appended with a “-Parse”. These timestamps have been modified in the following format.
Millisecond timestamps to UTC +00:00 time [2017.01.01 22:37:08.014] -- [2017-01-01T22:37:08.014+00:00]
https://preview.redd.it/x6g277skfiu51.png?width=1399&format=png&auto=webp&s=35cd6735c1826424580919ac3377612377a3107c

User Resources:

For those looking to use this data in a live context or update it frequently, I have included a number of tools for both Windows and Linux that will be useful.

Windows

The ~/dukascopy/resources/windows folder contains a third party tool written in java that can download and convert Dukascopy’s .bi5 files. I have also included the latest zstd binaries from Zstandard Github page.

Linux

Linux is my daily driver in 99% of cases, so I have developed all my scraping tools using Linux only tools. In the ~/dukascopy/resources/linux folder you will find a number of shell script and pyhton3 files that I used to collect this data. There are quite a few files in this directory but I will cover the core ones below.

download-day.py:

This file is used to download a single symbol for a single day and then convert and merge all 24 .bi5 files into a single CSV.

download-year.py

This file is used to download a single symbol for a full year and then convert and merge all .bi5 files into a single CSV.

dukascopy.py

This file contains all the core logic for downloading and converting data from dukascopy.

utc-timestamp-convert.py

This tad slow but works well enough. It requires the pandas project and parses timestamps into the UTC ISO standard. This is useful for those looking to maintain the format of new files with the those in this repo, or those looking to use this in a SQL database.
submitted by jtimperio to DataHoarder [link] [comments]

Former investment bank FX trader: Risk management part 3/3

Former investment bank FX trader: Risk management part 3/3
Welcome to the third and final part of this chapter.
Thank you all for the 100s of comments and upvotes - maybe this post will take us above 1,000 for this topic!
Keep any feedback or questions coming in the replies below.
Before you read this note, please start with Part I and then Part II so it hangs together and makes sense.
Part III
  • Squeezes and other risks
  • Market positioning
  • Bet correlation
  • Crap trades, timeouts and monthly limits

Squeezes and other risks

We are going to cover three common risks that traders face: events; squeezes, asymmetric bets.

Events

Economic releases can cause large short-term volatility. The most famous is Non Farm Payrolls, which is the most widely watched measure of US employment levels and affects the price of many instruments.On an NFP announcement currencies like EURUSD might jump (or drop) 100 pips no problem.
This is fine and there are trading strategies that one may employ around this but the key thing is to be aware of these releases.You can find economic calendars all over the internet - including on this site - and you need only check if there are any major releases each day or week.
For example, if you are trading off some intraday chart and scalping a few pips here and there it would be highly sensible to go into a known data release flat as it is pure coin-toss and not the reason for your trading. It only takes five minutes each day to plan for the day ahead so do not get caught out by this. Many retail traders get stopped out on such events when price volatility is at its peak.

Squeezes

Short squeezes bring a lot of danger and perhaps some opportunity.
The story of VW and Porsche is the best short squeeze ever. Throughout these articles we've used FX examples wherever possible but in this one instance the concept (which is also highly relevant in FX) is best illustrated with an historical lesson from a different asset class.
A short squeeze is when a participant ends up in a short position they are forced to cover. Especially when the rest of the market knows that this participant can be bullied into stopping out at terrible levels, provided the market can briefly drive the price into their pain zone.

There's a reason for the car, don't worry
Hedge funds had been shorting VW stock. However the amount of VW stock available to buy in the open market was actually quite limited. The local government owned a chunk and Porsche itself had bought and locked away around 30%. Neither of these would sell to the hedge-funds so a good amount of the stock was un-buyable at any price.
If you sell or short a stock you must be prepared to buy it back to go flat at some point.
To cut a long story short, Porsche bought a lot of call options on VW stock. These options gave them the right to purchase VW stock from banks at slightly above market price.
Eventually the banks who had sold these options realised there was no VW stock to go out and buy since the German government wouldn’t sell its allocation and Porsche wouldn’t either. If Porsche called in the options the banks were in trouble.
Porsche called in the options which forced the shorts to buy stock - at whatever price they could get it.
The price squeezed higher as those that were short got massively squeezed and stopped out. For one brief moment in 2008, VW was the world’s most valuable company. Shorts were burned hard.

Incredible event
Porsche apparently made $11.5 billion on the trade. The BBC described Porsche as “a hedge fund with a carmaker attached.”
If this all seems exotic then know that the same thing happens in FX all the time. If everyone in the market is talking about a key level in EURUSD being 1.2050 then you can bet the market will try to push through 1.2050 just to take out any short stops at that level. Whether it then rallies higher or fails and trades back lower is a different matter entirely.
This brings us on to the matter of crowded trades. We will look at positioning in more detail in the next section. Crowded trades are dangerous for PNL. If everyone believes EURUSD is going down and has already sold EURUSD then you run the risk of a short squeeze.
For additional selling to take place you need a very good reason for people to add to their position whereas a move in the other direction could force mass buying to cover their shorts.
A trading mentor when I worked at the investment bank once advised me:
Always think about which move would cause the maximum people the maximum pain. That move is precisely what you should be watching out for at all times.

Asymmetric losses

Also known as picking up pennies in front of a steamroller. This risk has caught out many a retail trader. Sometimes it is referred to as a "negative skew" strategy.
Ideally what you are looking for is asymmetric risk trade set-ups: that is where the downside is clearly defined and smaller than the upside. What you want to avoid is the opposite.
A famous example of this going wrong was the Swiss National Bank de-peg in 2012.
The Swiss National Bank had said they would defend the price of EURCHF so that it did not go below 1.2. Many people believed it could never go below 1.2 due to this. Many retail traders therefore opted for a strategy that some describe as ‘picking up pennies in front of a steam-roller’.
They would would buy EURCHF above the peg level and hope for a tiny rally of several pips before selling them back and keep doing this repeatedly. Often they were highly leveraged at 100:1 so that they could amplify the profit of the tiny 5-10 pip rally.
Then this happened.

Something that changed FX markets forever
The SNB suddenly did the unthinkable. They stopped defending the price. CHF jumped and so EURCHF (the number of CHF per 1 EUR) dropped to new lows very fast. Clearly, this trade had horrific risk : reward asymmetry: you risked 30% to make 0.05%.
Other strategies like naively selling options have the same result. You win a small amount of money each day and then spectacularly blow up at some point down the line.

Market positioning

We have talked about short squeezes. But how do you know what the market position is? And should you care?
Let’s start with the first. You should definitely care.
Let’s imagine the entire market is exceptionally long EURUSD and positioning reaches extreme levels. This makes EURUSD very vulnerable.
To keep the price going higher EURUSD needs to attract fresh buy orders. If everyone is already long and has no room to add, what can incentivise people to keep buying? The news flow might be good. They may believe EURUSD goes higher. But they have already bought and have their maximum position on.
On the flip side, if there’s an unexpected event and EURUSD gaps lower you will have the entire market trying to exit the position at the same time. Like a herd of cows running through a single doorway. Messy.
We are going to look at this in more detail in a later chapter, where we discuss ‘carry’ trades. For now this TRYJPY chart might provide some idea of what a rush to the exits of a crowded position looks like.

A carry trade position clear-out in action
Knowing if the market is currently at extreme levels of long or short can therefore be helpful.
The CFTC makes available a weekly report, which details the overall positions of speculative traders “Non Commercial Traders” in some of the major futures products. This includes futures tied to deliverable FX pairs such as EURUSD as well as products such as gold. The report is called “CFTC Commitments of Traders” ("COT").
This is a great benchmark. It is far more representative of the overall market than the proprietary ones offered by retail brokers as it covers a far larger cross-section of the institutional market.
Generally market participants will not pay a lot of attention to commercial hedgers, which are also detailed in the report. This data is worth tracking but these folks are simply hedging real-world transactions rather than speculating so their activity is far less revealing and far more noisy.
You can find the data online for free and download it directly here.

Raw format is kinda hard to work with

However, many websites will chart this for you free of charge and you may find it more convenient to look at it that way. Just google “CFTC positioning charts”.

But you can easily get visualisations
You can visually spot extreme positioning. It is extremely powerful.
Bear in mind the reports come out Friday afternoon US time and the report is a snapshot up to the prior Tuesday. That means it is a lagged report - by the time it is released it is a few days out of date. For longer term trades where you hold positions for weeks this is of course still pretty helpful information.
As well as the absolute level (is the speculative market net long or short) you can also use this to pick up on changes in positioning.
For example if bad news comes out how much does the net short increase? If good news comes out, the market may remain net short but how much did they buy back?
A lot of traders ask themselves “Does the market have this trade on?” The positioning data is a good method for answering this. It provides a good finger on the pulse of the wider market sentiment and activity.
For example you might say: “There was lots of noise about the good employment numbers in the US. However, there wasn’t actually a lot of position change on the back of it. Maybe everyone who wants to buy already has. What would happen now if bad news came out?”
In general traders will be wary of entering a crowded position because it will be hard to attract additional buyers or sellers and there could be an aggressive exit.
If you want to enter a trade that is showing extreme levels of positioning you must think carefully about this dynamic.

Bet correlation

Retail traders often drastically underestimate how correlated their bets are.
Through bitter experience, I have learned that a mistake in position correlation is the root of some of the most serious problems in trading. If you have eight highly correlated positions, then you are really trading one position that is eight times as large.
Bruce Kovner of hedge fund, Caxton Associates
For example, if you are trading a bunch of pairs against the USD you will end up with a simply huge USD exposure. A single USD-trigger can ruin all your bets. Your ideal scenario — and it isn’t always possible — would be to have a highly diversified portfolio of bets that do not move in tandem.
Look at this chart. Inverted USD index (DXY) is green. AUDUSD is orange. EURUSD is blue.

Chart from TradingView
So the whole thing is just one big USD trade! If you are long AUDUSD, long EURUSD, and short DXY you have three anti USD bets that are all likely to work or fail together.
The more diversified your portfolio of bets are, the more risk you can take on each.
There’s a really good video, explaining the benefits of diversification from Ray Dalio.
A systematic fund with access to an investable universe of 10,000 instruments has more opportunity to make a better risk-adjusted return than a trader who only focuses on three symbols. Diversification really is the closest thing to a free lunch in finance.
But let’s be pragmatic and realistic. Human retail traders don’t have capacity to run even one hundred bets at a time. More realistic would be an average of 2-3 trades on simultaneously. So what can be done?
For example:
  • You might diversify across time horizons by having a mix of short-term and long-term trades.
  • You might diversify across asset classes - trading some FX but also crypto and equities.
  • You might diversify your trade generation approach so you are not relying on the same indicators or drivers on each trade.
  • You might diversify your exposure to the market regime by having some trades that assume a trend will continue (momentum) and some that assume we will be range-bound (carry).
And so on. Basically you want to scan your portfolio of trades and make sure you are not putting all your eggs in one basket. If some trades underperform others will perform - assuming the bets are not correlated - and that way you can ensure your overall portfolio takes less risk per unit of return.
The key thing is to start thinking about a portfolio of bets and what each new trade offers to your existing portfolio of risk. Will it diversify or amplify a current exposure?

Crap trades, timeouts and monthly limits

One common mistake is to get bored and restless and put on crap trades. This just means trades in which you have low conviction.
It is perfectly fine not to trade. If you feel like you do not understand the market at a particular point, simply choose not to trade.
Flat is a position.
Do not waste your bullets on rubbish trades. Only enter a trade when you have carefully considered it from all angles and feel good about the risk. This will make it far easier to hold onto the trade if it moves against you at any point. You actually believe in it.
Equally, you need to set monthly limits. A standard limit might be a 10% account balance stop per month. At that point you close all your positions immediately and stop trading till next month.

Be strict with yourself and walk away
Let’s assume you started the year with $100k and made 5% in January so enter Feb with $105k balance. Your stop is therefore 10% of $105k or $10.5k . If your account balance dips to $94.5k ($105k-$10.5k) then you stop yourself out and don’t resume trading till March the first.
Having monthly calendar breaks is nice for another reason. Say you made a load of money in January. You don’t want to start February feeling you are up 5% or it is too tempting to avoid trading all month and protect the existing win. Each month and each year should feel like a clean slate and an independent period.
Everyone has trading slumps. It is perfectly normal. It will definitely happen to you at some stage. The trick is to take a break and refocus. Conserve your capital by not trading a lot whilst you are on a losing streak. This period will be much harder for you emotionally and you’ll end up making suboptimal decisions. An enforced break will help you see the bigger picture.
Put in place a process before you start trading and then it’ll be easy to follow and will feel much less emotional. Remember: the market doesn’t care if you win or lose, it is nothing personal.
When your head has cooled and you feel calm you return the next month and begin the task of building back your account balance.

That's a wrap on risk management

Thanks for taking time to read this three-part chapter on risk management. I hope you enjoyed it. Do comment in the replies if you have any questions or feedback.
Remember: the most important part of trading is not making money. It is not losing money. Always start with that principle. I hope these three notes have provided some food for thought on how you might approach risk management and are of practical use to you when trading. Avoiding mistakes is not a sexy tagline but it is an effective and reliable way to improve results.
Next up I will be writing about an exciting topic I think many traders should look at rather differently: news trading. Please follow on here to receive notifications and the broad outline is below.
News Trading Part I
  • Introduction
  • Why use the economic calendar
  • Reading the economic calendar
  • Knowing what's priced in
  • Surveys
  • Interest rates
  • First order thinking vs second order thinking
News Trading Part II
  • Preparing for quantitative and qualitative releases
  • Data surprise index
  • Using recent events to predict future reactions
  • Buy the rumour, sell the fact
  • The mysterious 'position trim' effect
  • Reversals
  • Some key FX releases
***

Disclaimer:This content is not investment advice and you should not place any reliance on it. The views expressed are the author's own and should not be attributed to any other person, including their employer.
submitted by getmrmarket to Forex [link] [comments]

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

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

Introduction

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

Why use an economic calendar

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

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

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

Reading the economic calendar


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

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

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

Event importance

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

Knowing what's priced in

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

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

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

An example of pricing in

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

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

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

Surveys

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

Interest rates decisions

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

See the link for a demo

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

Second order thinking

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

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

Coming up in part II

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

Former investment bank FX trader: News trading and second order thinking part 2/2

Former investment bank FX trader: News trading and second order thinking part 2/2
Thanks for all the upvotes and comments on the previous pieces:
From the first half of the news trading note we learned some ways to estimate what is priced in by the market. We learned that we are trading any gap in market expectations rather than the result itself. A good result when the market expected a fantastic result is disappointing! We also looked at second order thinking. After all that, I hope the reaction of prices to events is starting to make more sense to you.

Before you understand the core concepts of pricing in and second order thinking, price reactions to events can seem mystifying at times
We'll add one thought-provoking quote. Keynes (that rare economist who also managed institutional money) offered this analogy. He compared selecting investments to a beauty contest in which newspaper readers would write in with their votes and win a prize if their votes most closely matched the six most popularly selected women across all readers:
It is not a case of choosing those (faces) which, to the best of one’s judgment, are really the prettiest, nor even those which average opinions genuinely thinks the prettiest. We have reached the third degree where we devote our intelligences to anticipating what average opinion expects the average opinion to be.
Trading is no different. You are trying to anticipate how other traders will react to news and how that will move prices. Perhaps you disagree with their reaction. Still, if you can anticipate what it will be you would be sensible to act upon it. Don't forget: meanwhile they are also trying to anticipate what you and everyone else will do.

Part II
  • Preparing for quantitative and qualitative releases
  • Data surprise index
  • Using recent events to predict future reactions
  • Buy the rumour, sell the fact
  • The trimming position effect
  • Reversals
  • Some key FX releases

Preparing for quantitative and qualitative releases

The majority of releases are quantitative. All that means is there’s some number. Like unemployment figures or GDP.
Historic results provide interesting context. We are looking below the Australian unemployment rate which is released monthly. If you plot it out a few years back you can spot a clear trend, which got massively reversed. Knowing this trend gives you additional information when the figure is released. In the same way prices can trend so do economic data.

A great resource that's totally free to use
This makes sense: if for example things are getting steadily better in the economy you’d expect to see unemployment steadily going down.
Knowing the trend and how much noise there is in the data gives you an informational edge over lazy traders.
For example, when we see the spike above 6% on the above you’d instantly know it was crazy and a huge trading opportunity since a) the fluctuations month on month are normally tiny and b) it is a huge reversal of the long-term trend.
Would all the other AUDUSD traders know and react proportionately? If not and yet they still trade, their laziness may be an opportunity for more informed traders to make some money.
Tradingeconomics.com offers really high quality analysis. You can see all the major indicators for each country. Clicking them brings up their history as well as an explanation of what they show.
For example, here’s German Consumer Confidence.

Helpful context
There are also qualitative events. Normally these are speeches by Central Bankers.
There are whole blogs dedicated to closely reading such texts and looking for subtle changes in direction or opinion on the economy. Stuff like how often does the phrase "in a good place" come up when the Chair of the Fed speaks. It is pretty dry stuff. Yet these are leading indicators of how each member may vote to set interest rates. Ed Yardeni is the go-to guy on central banks.

Data surprise index

The other thing you might look at is something investment banks produce for their customers. A data surprise index. I am not sure if these are available in retail land - there's no reason they shouldn't be but the economic calendars online are very basic.
You’ll remember we talked about data not being good or bad of itself but good or bad relative to what was expected. These indices measure this difference.
If results are consistently better than analysts expect then you’ll see a positive number. If they are consistently worse than analysts expect a negative number. You can see they tend to swing from positive to negative.

Mean reversion at its best! Data surprise indices measure how much better or worse data came in vs forecast
There are many theories for this but in general people consider that analysts herd around the consensus. They are scared to be outliers and look ‘wrong’ or ‘stupid’ so they instead place estimates close to the pack of their peers.
When economic conditions change they may therefore be slow to update. When they are wrong consistently - say too bearish - they eventually flip the other way and become too bullish.
These charts can be interesting to give you an idea of how the recent data releases have been versus market expectations. You may try to spot the turning points in macroeconomic data that drive long term currency prices and trends.

Using recent events to predict future reactions

The market reaction function is the most important thing on an economic calendar in many ways. It means: what will happen to the price if the data is better or worse than the market expects?
That seems easy to answer but it is not.
Consider the example of consumer confidence we had earlier.
  • Many times the market will shrug and ignore it.
  • But when the economic recovery is predicated on a strong consumer it may move markets a lot.
Or consider the S&P index of US stocks (Wall Street).
  • If you get good economic data that beats analyst estimates surely it should go up? Well, sometimes that is certainly the case.
  • But good economic data might result in the US Central Bank raising interest rates. Raising interest rates will generally make the stock market go down!
So better than expected data could make the S&P go up (“the economy is great”) or down (“the Fed is more likely to raise rates”). It depends. The market can interpret the same data totally differently at different times.
One clue is to look at what happened to the price of risk assets at the last event.
For example, let’s say we looked at unemployment and it came in a lot worse than forecast last month. What happened to the S&P back then?

2% drop last time on a 'worse than expected' number ... so it it is 'better than expected' best guess is we rally 2% higher
So this tells us that - at least for our most recent event - the S&P moved 2% lower on a far worse than expected number. This gives us some guidance as to what it might do next time and the direction. Bad number = lower S&P. For a huge surprise 2% is the size of move we’d expect.
Again - this is a real limitation of online calendars. They should show next to the historic results (expected/actual) the reaction of various instruments.

Buy the rumour, sell the fact

A final example of an unpredictable reaction relates to the old rule of ‘Buy the rumour, sell the fact.’ This captures the tendency for markets to anticipate events and then reverse when they occur.

Buy the rumour, sell the fact
In short: people take profit and close their positions when what they expected to happen is confirmed.
So we have to decide which driver is most important to the market at any point in time. You obviously cannot ask every participant. The best way to do it is to look at what happened recently. Look at the price action during recent releases and you will get a feel for how much the market moves and in which direction.

Trimming or taking off positions

One thing to note is that events sometimes give smart participants information about positioning. This is because many traders take off or reduce positions ahead of big news events for risk management purposes.
Imagine we see GBPUSD rises in the hour before GDP release. That probably indicates the market is short and has taken off / flattened its positions.

The price action before an event can tell you about speculative positioning
If GDP is merely in line with expectations those same people are likely to add back their positions. They avoided a potential banana skin. This is why sometimes the market moves on an event that seemingly was bang on consensus.
But you have learned something. The speculative market is short and may prove vulnerable to a squeeze.

Two kinds of reversals

Fairly often you’ll see the market move in one direction on a release then turn around and go the other way.
These are known as reversals. Traders will often ‘fade’ a move, meaning bet against it and expect it to reverse.

Logical reversals

Sometimes this happens when the data looks good at first glance but the details don’t support it.
For example, say the headline is very bullish on German manufacturing numbers but then a minute later it becomes clear the company who releases the data has changed methodology or believes the number is driven by a one-off event. Or maybe the headline number is positive but buried in the detail there is a very negative revision to previous numbers.
Fading the initial spike is one way to trade news. Try looking at what the price action is one minute after the event and thirty minutes afterwards on historic releases.

Crazy reversals


Some reversals don't make sense
Sometimes a reversal happens for seemingly no fundamental reason. Say you get clearly positive news that is better than anyone expects. There are no caveats to the positive number. Yet the price briefly spikes up and then falls hard. What on earth?
This is a pure supply and demand thing. Even on bullish news the market cannot sustain a rally. The market is telling you it wants to sell this asset. Try not to get in its way.

Some key releases

As we have already discussed, different releases are important at different times. However, we’ll look at some consistently important ones in this final section.

Interest rates decisions

These can sometimes be unscheduled. However, normally the decisions are announced monthly. The exact process varies for each central bank. Typically there’s a headline decision e.g. maintain 0.75% rate.
You may also see “minutes” of the meeting in which the decision was reached and a vote tally e.g. 7 for maintain, 2 for lower rates. These are always top-tier data releases and have capacity to move the currency a lot.
A hawkish central bank (higher rates) will tend to move a currency higher whilst a dovish central bank (lower rates) will tend to move a currency lower.
A central banker speaking is always a big event

Non farm payrolls

These are released once per month. This is another top-tier release that will move all USD pairs as well as equities.
There are three numbers:
  • The headline number of jobs created (bigger is better)
  • The unemployment rate (smaller is better)
  • Average hourly earnings (depends)
Bear in mind these headline numbers are often off by around 75,000. If a report comes in +/- 25,000 of the forecast, that is probably a non event.
In general a positive response should move the USD higher but check recent price action.
Other countries each have their own unemployment data releases but this is the single most important release.

Surveys

There are various types of surveys: consumer confidence; house price expectations; purchasing managers index etc.
Each one basically asks a group of people if they expect to make more purchases or activity in their area of expertise to rise. There are so many we won’t go into each one here.
A really useful tool is the tradingeconomics.com economic indicators for each country. You can see all the major indicators and an explanation of each plus the historic results.

GDP

Gross Domestic Product is another big release. It is a measure of how much a country’s economy is growing.
In general the market focuses more on ‘advance’ GDP forecasts more than ‘final’ numbers, which are often released at the same time.
This is because the final figures are accurate but by the time they come around the market has already seen all the inputs. The advance figure tends to be less accurate but incorporates new information that the market may not have known before the release.
In general a strong GDP number is good for the domestic currency.

Inflation

Countries tend to release measures of inflation (increase in prices) each month. These releases are important mainly because they may influence the future decisions of the central bank, when setting the interest rate.
See the FX fundamentals section for more details.

Industrial data

Things like factory orders or or inventory levels. These can provide a leading indicator of the strength of the economy.
These numbers can be extremely volatile. This is because a one-off large order can drive the numbers well outside usual levels.
Pay careful attention to previous releases so you have a sense of how noisy each release is and what kind of moves might be expected.

Comments

Often there is really good stuff in the comments/replies. Check out 'squitstoomuch' for some excellent observations on why some news sources are noisy but early (think: Twitter, ZeroHedge). The Softbank story is a good recent example: was in ZeroHedge a day before the FT but the market moved on the FT. Also an interesting comment on mistakes, which definitely happen on breaking news, and can cause massive reversals.

submitted by getmrmarket to Forex [link] [comments]

THROW YOUR FD's in FDS

Factset: How You can Invest in Hedge Funds’ Biggest Investment
Tl;dr FactSet is the most undervalued widespread SaaS/IT solution stock that exists
If any of you have relevant experience or are friends with people in Investment Banking/other high finance, you know that Factset is the lifeblood of their financial analysis toolkit if and when it’s not Bloomberg, which isn’t even publicly traded. Factset has been around since 1978 and it’s considered a staple like Bloomberg in many wealth management firms, and it offers some of the easiest to access and understandable financial data so many newer firms focused less on trading are switching to Factset because it has a lot of the same data Bloomberg offers for half the cost. When it comes to modern financial data, Factset outcompetes Reuters and arguably Bloomberg as well due to their API services which makes Factset much more preferable for quantitative divisions of banks/hedge funds as API integration with Python/R is the most important factor for vast data lakes of financial data, this suggests Factset will be much more prepared for programming making its way into traditional finance fields. According to Factset, their mission for data delivery is to: “Integrate the data you need with your applications, web portals, and statistical packages. Whether you need market, company, or alternative data, FactSet flexible data delivery services give you normalized data through APIs and a direct delivery of local copies of standard data feeds. Our unique symbology links and aggregates a variety of content sources to ensure consistency, transparency, and data integrity across your business. Build financial models and power customized applications with FactSet APIs in our developer portal”. Their technical focus for their data delivery system alone should make it stand out compared to Bloomberg, whose UI is far more outdated and complex on top of not being as technically developed as Factset’s. Factset is the key provider of buy-side portfolio analysis for IBs, Hedge funds, and Private Equity firms, and it’s making its way into non-quantitative hedge funds as well because quantitative portfolio management makes automation of risk management and the application of portfolio theory so much easier, and to top it off, Factset’s scenario analysis and simulation is unique in its class. Factset also is able to automate trades based on individual manager risk tolerance and ML optimization for Forex trading as well. Not only does Factset provide solutions for financial companies, they are branching out to all corporations now and providing quantitative analytics for them in the areas of “corporate development, M&A, strategy, treasury, financial planning and analysis, and investor relations workflows”. Factset will eventually in my opinion reach out to Insurance Risk Management a lot more in the future as that’s a huge industry which has yet to see much automation of risk management yet, and with the field wide open, Factset will be the first to take advantage without a shadow of a doubt. So let’s dig into the company’s financials now:
Their latest 8k filing reported the following:
Revenue increased 2.6%, or $9.6 million, to $374.1 million compared with $364.5 million for the same period in fiscal 2019. The increase is primarily due to higher sales of analytics, content and technology solutions (CTS) and wealth management solutions.
Annual Subscription Value (ASV) plus professional services was $1.52 billion at May 31, 2020, compared with $1.45 billion at May 31, 2019. The organic growth rate, which excludes the effects of acquisitions, dispositions, and foreign currency movements, was 5.0%. The primary contributors to this growth rate were higher sales in FactSet's wealth and research workflow solutions and a price increase in the Company's international region
Adjusted operating margin improved to 35.5% compared with 34.0% in the prior year period primarily as a result of reduced employee-related operating expenses due to the coronavirus pandemic.
Diluted earnings per share (EPS) increased 11.0% to $2.63 compared with $2.37 for the same period in fiscal 2019.
Adjusted diluted EPS rose 9.2% to $2.86 compared with $2.62 in the prior year period primarily driven by an improvement in operating results.
The Company’s effective tax rate for the third quarter decreased to 15.0% compared with 18.6% a year ago, primarily due to an income tax expense in the prior year related to finalizing the Company's tax returns with no similar event for the three months ended May 31, 2020.
FactSet increased its quarterly dividend by $0.05 per share or 7% to $0.77 marking the fifteenth consecutive year the Company has increased dividends, highlighting its continued commitment to returning value to shareholders.
As you can see, there’s not much of a negative sign in sight here.
It makes sense considering how FactSet’s FCF has never slowed down:
https://preview.redd.it/frmtdk8e9hk51.png?width=276&format=png&auto=webp&s=1c0ff12539e0b2f9dbfda13d0565c5ce2b6f8f1a

https://preview.redd.it/6axdb6lh9hk51.png?width=593&format=png&auto=webp&s=9af1673272a5a2d8df28f60f4707e948a00e5ff1
FactSet’s annual subscriptions and professional services have made its way to foreign and developing markets, and many of them are opting for FactSet’s cheaper services to reduce costs and still get copious amounts of data and models to work with.
Here’s what FactSet had to say regarding its competitive position within the market of providing financial data in its last 10k: “Despite competing products and services, we enjoy high barriers to entry and believe it would be difficult for another vendor to quickly replicate the extensive databases we currently offer. Through our in-depth analytics and client service, we believe we can offer clients a more comprehensive solution with one of the broadest sets of functionalities, through a desktop or mobile user interface or through a standardized or bespoke data feed.” And FactSet is confident that their ML services cannot be replaced by anybody else in the industry either: “In addition, our applications, including our client support and service offerings, are entrenched in the workflow of many financial professionals given the downloading functions and portfolio analysis/screening capabilities offered. We are entrusted with significant amounts of our clients' own proprietary data, including portfolio holdings. As a result, our products have become central to our clients’ investment analysis and decision-making.” (https://last10k.com/sec-filings/fds#link_fullReport), if you read the full report and compare it to the most recent 8K, you’ll find that the real expenses this quarter were far lower than expected by the last 10k as there was a lower than expected tax rate and a 3% increase in expected operating margin from the expected figure as well. The company also reports a 90% customer retention rate over 15 years, so you know that they’re not lying when they say the clients need them for all sorts of financial data whether it’s for M&A or wealth management and Equity analysis:
https://www.investopedia.com/terms/f/factset.asp
https://preview.redd.it/yo71y6qj9hk51.png?width=355&format=png&auto=webp&s=a9414bdaa03c06114ca052304a26fae2773c3e45

FactSet also has remarkably good cash conversion considering it’s a subscription based company, a company structure which usually takes on too much leverage. Speaking of leverage, FDS had taken on a lot of leverage in 2015:

https://preview.redd.it/oxaa1wel9hk51.png?width=443&format=png&auto=webp&s=13d60d2518980360c403364f7150392ab83d07d7
So what’s that about? Why were FactSet’s long term debts at 0 and all of a sudden why’d the spike up? Well usually for a company that’s non-cyclical and has a well-established product (like FactSet) leverage can actually be good at amplifying returns, so FDS used this to their advantage and this was able to help the share’s price during 2015. Also, as you can see debt/ebitda is beginning a rapid decline anyway. This only adds to my theory that FactSet is trying to expand into new playing fields. FactSet obviously didn’t need the leverage to cover their normal costs, because they have always had consistently growing margins and revenue so the debt financing was only for the sake of financing growth. And this debt can be considered covered and paid off, considering the net income growth of 32% between 2018 and 2019 alone and the EPS growth of 33%
https://preview.redd.it/e4trju3p9hk51.png?width=387&format=png&auto=webp&s=6f6bee15f836c47e73121054ec60459f147d353e

EBITDA has virtually been exponential for FactSet for a while because of the bang-for-buck for their well-known product, but now as FactSet ventures into algorithmic trading and corporate development the scope for growth is broadly expanded.
https://preview.redd.it/yl7f58tr9hk51.png?width=489&format=png&auto=webp&s=68906b9ecbcf6d886393c4ff40f81bdecab9e9fd

P/E has declined in the past 2 years, making it a great time to buy.

https://preview.redd.it/4mqw3t4t9hk51.png?width=445&format=png&auto=webp&s=e8d719f4913883b044c4150f11b8732e14797b6d
Increasing ROE despite lowering of leverage post 2016
https://preview.redd.it/lt34avzu9hk51.png?width=441&format=png&auto=webp&s=f3742ed87cd1c2ccb7a3d3ee71ae8c7007313b2b

Mountains of cash have been piling up in the coffers increasing chances of increased dividends for shareholders (imo dividend is too low right now, but increasing it will tempt more investors into it), and on top of that in the last 10k a large buyback expansion program was implemented for $210m worth of shares, which shows how confident they are in the company itself.
https://preview.redd.it/fliirmpx9hk51.png?width=370&format=png&auto=webp&s=1216eddeadb4f84c8f4f48692a2f962ba2f1e848

SGA expense/Gross profit has been declining despite expansion of offices
I’m a bit concerned about the skin in the game leadership has in this company, since very few executives/board members have significant holdings in the company, but the CEO himself is a FactSet veteran, and knows his way around the company. On top of that, Bloomberg remains king for trading and the fixed income security market, and Reuters beats out FactSet here as well. If FactSet really wants to increase cash flow sources, the expansion into insurance and corp dev has to be successful.
Summary: FactSet has a lot of growth still left in its industry which is already fast-growing in and of itself, and it only has more potential at its current valuation. Earnings September 24th should be a massive beat due to investment banking demand and growth plus Hedge fund requirements for data and portfolio management hasn’t gone anywhere and has likely increased due to more market opportunities to buy-in.
Calls have shitty greeks, but if you're ballsy October 450s LOL, I'm holding shares
I’d say it’s a great long term investment, and it should at least be on your watchlist.
submitted by WannabeStonks69 to wallstreetbets [link] [comments]

3 years, 28 pairs and 310 trades later

This thread is the direct continuation of my previous entry, which you can find here. I have the feeling my rambles may be long, so I'm not going to repeat anything I already said in my previous post for the sake of keeping this brief.
What is this?
I am backtesting the strategy shared by ParallaxFx. I have just completed my second run of testing, and I am here to share my results with those who are interested. If you want to read more about the strategy, go to my previous thread where I linked it.
What changed?
Instead of using a fixed target of the -100.0 Fibonacci extension, I tracked both the -61.8 and the -100.0 targets. ParallaxFx used the -61.8 as a target, but never tried the second one, so I wanted to compare the two and see what happens.
Where can I see your backtested result?
I am going to do something I hope I won't regret and share the link to my spreadsheet. Hopefully I won't be doxxed, but I think I should be fine. You can find my spreadsheet at this link. There are a lot of entries, so it may take a while for them to load. In the "Trades" tab, you will find every trade I backtested with an attached screenshot and the results it would have had with the extended and the unextended target. You can see the UNCOMPOUNDED equity curve in the Summary tab, together with the overall statistics for the system.
What was the sample size?
I backtested on the Daily chart, from January 2017 to December 2019, over 28 currency pairs. I took a total of 310 trades - although keep in mind that every position is most often composed by two entries, meaning that you can roughly halve this number.
What is the bottom line?
If you're not interested in the details, here are the stats of the strategy based on how I traded it.
Here you can see the two uncompounded equity curves side by side: red is unextended and blue is extended.
Who wins?
The test suggests the strategy to be more profitable with the extended target. In addition, most of the trades that reached the unextended target but reversed before reaching the extended, were trades that I would have most likely not have taken with the extented target. This is because there was a resistance/support area in the way of the -100.0 extension level, but there was enough room for price to reach the -61.8 level.
I will probably trade this strategy using the -100.0 level as target, unless there is an area in the way. In that case I will go for the unextended target.
Drawdown management
The expected losing streak for this system, using the extended target, is 7 trades in a row in a sample size of 100 trades. My goal is to have a drawdown cap of 4%, so my risk per trade will be 0.54%. If I ever find myself in a losing streak of more than 8 trades, I will reduce my risk per trade further.
What's next?
I'll be taking this strategy live. The wisest move would be to repeat the same testing over lower timeframes to verify the edge plays out there as well, but I would not be able to trust my results because I would have vague memories of where price went because of the testing I just did. I also believe markets are fractals, so I see no reason why this wouldn't work on lower timeframes.
Before going live, I will expand this spreadsheet to include more specific analysis and I will continue backtesting at a slower pace. The goal is to reach 20 years of backtesting over these 28 pairs and put everything into this spreadsheet. It's not something I will do overnight, but I'll probably do one year every odd day, and maybe a couple more during the weekend.
I think I don't have much else to add. I like the strategy. Feel free to ask questions.
submitted by Vanguer to Forex [link] [comments]

IS ____ AN MLM? SEARCH HERE. (MEGA THREAD)

For a quick, easier search - http://www.isthisanmlm.com/ has compiled this whole thread. Special thanks to u/SHIFTnSPACE. - This is now a part of the sidebar as a button widget!

What is an MLM?

Multi-level marketing (MLM), also called pyramid selling, network marketing, and referral marketing, is a marketing strategy for the sale of products or services where the revenue of the MLM company is derived from a non-salaried workforce selling the company's products/services, while the earnings of the participants are derived from a pyramid-shaped or binary compensation commission system. ​
THIS LIST MAY CONTAIN COMPANIES THAT HAVE PREVIOUSLY HAD MLM BRANCH BUT MAY NO LONGER HAVE ONE.
If you see a company and are not sure that it belongs on this list, please reach out. I have compiled this list from the sources listed at the bottom along with input from community members. This list may not be 100% accurate but the goal is to get it as close as possible.
31 - Bags
5Linx - Home & Business Services
Abby & Anna - Clothing
ACAN Pacific - Utilities
ACN - Utilities
ActiLabs - Skincare/Health
Adornable.U - Accessories
Advocare - Dietary Supplements
AeroGrow - Garden Tools
Agnes & Dora - Clothing
AIM Global - Nutritional Supplements
Akasuka (Japan) -
Alcone - Beauty
Alice's Table - Flower Arrangement Classes
All'asta - Home Goods
Allysian Sciences -
Aloe Vera of America (Young Living) - Nutritional Supplements
Aloette - Beauty
Alphay Int - Nutritional Supplements
AlureVe - Skincare/Health
Amare Global - Nutritional Supplements
Ambit - Utilities
Amelia James -
Ameo - Essential Oils
American Income Life - Financial
Amsoil - Motor Oil
Amway - Health/Beauty/Home Goods
Ann Summers - Product
Ann Summers (UK) - Adult Novelties
Anorak (UK) - Home Goods
Anran (China) -
Apollo (India) - Juice
Apriori - Skincare/Health
AquaSource UK - Nutritional Supplements
Arbonne - Skincare/Health
ARIIX - Water Purification
Arsoa Honsha (Japan) - Fitness/Weight Loss
Asea Global - Nutritional Supplements
Asirvia (shut down) - Marketing
Aspire/Digital Altitude - Marketing
ATC Coin - Crypto Currency
Athena's - Adult Novelties
Atomy - Skincare/Health
Ava Anderson -
Ava Rose - Clot
Avisae - Weight Loss
Avon - Beauty
b:hip Global - Health
Bachar Nutrition - Nutritional Supplements
Bamboo Pink - Jewelry
Barefoot Books - Books
Bath.Ologie - Bath Bombs
Beach Body - Fitness/Weight Loss Videos
BearCereju (Japan) - Cosmetics
BeautiControl -
Beauty Counter - Cosmetics
Beauty Society - Beauty
beCAUSE Cosmetics - Cosmetics
Become International (US & AUS) - Cosmetics
Bedroom Kandi - Adult Novelties
Beever (UK) - Hair Care
BelCorp (Latin America) - Cosmetics
Bellame - Skincare/Health
Bemer - Appliances
Better Way Design/Imports - Clothing
Biogreen Argentina -
BioPerformance - Automotive (Fuel Pills)
Bod-e Pro - Nutritional Supplements
Body by Vi/Visalus - Health
Body Shop at Home - Beauty
Boisset Collection - Wine
Boston Finney (shut down) -
Bounce Life/Network - Insurance
Bud Star (Canada) - CBD/THC Products
BurnLounge (shut down as pyramid scheme by FTC in 2012) -
Buskins - Clothing
Butterfly Beauty - Cosmetics
Cabi - Clothing
Cambridge Weight Plan/Diet - Dietary Supplements
CAN - Utilities
Captain Tortue - Clothing
Carico Int - Home Goods
Celebrating Home - Home Goods
Cellements - Skincare/Health
CEO Movement (Not MLM but scammy) -
Chalk Couture - Chalkboard Signs
Chalky & Co - Home Goods
Chandeal (Japan) - Clothing
Charle (Japan) - Clothing
Charlie's Project - Clothing
Chef's Toolbox (AUS) (Insolvency) - Kitchen Accessories
Cherish Natural Products -
Chloe & Isabel - Jewelry
Clever Container - Home Goods
Close to My Heart - Scrapbooking
Cloud 9 Parties - Adult Novelties
Cobra Group/Appco -
Cocoa Exchange - Food
Color by Amber - Jewelry
Color Happy -
Color Street - Nail Wraps
Colour Me Beautiful (UK) - Clothing
Compelling Creations - Jewelry
Conklin - Roofing
Cookie Lee (shut down) -
Cosway (Malaysia) - Health/Beauty/Home Goods
Country Scents - Product/Candles
Create Your Life - Health
Creative Memories - Scrapbooking
Credit Repair USA - Financial
Crunchi - Cosmetics
Cutco - Knives
CVSL - Multiple Companies
Daisy Blue Naturals - Personal Care
Damsel in Defense - Product/Self Defense
Darceys - Candles
David Lerner Associates, INC - Financial
Dazzle and Daze - Clothing
Deutsche vermögensberatung/Dvag (Germany) - Financial
Diana (Japan) -
Dione Cosmetics - Cosmetics
Direct Cellars/DC Nation - Wine
Discovery Toys - Educational Toys
Divvee/Nui -
Dot Dot Smile - Clothing
DoTERRA - Health/Oils
Du Northing Designs - Clothing
Dubli Network - Financial
Dudley Beauty - Cosmetics
DXN - Health/Beauty/Home Goods
Dynamic Essentials -
EcoWarehouse - Home Goods
Elepreneuer -
Elk River Soaps - Personal Care
Ella Tina - Clothing
Elli Kai - Clothing
Elvacity - Nutritional Supplements
EmGoldEx/Global Intergold -
Enagic/Kangen Water - Ionized Water
Endless Xpressions - Clothing/Accessories
Enersource Int - Nutritional Supplements
Enjo (AUS) - Cleaning Producs
Envy Jewelry - Jewelry
Epicure (Canada) - Food
Equinox International (dissolved in 2001) -
Ergo (Germany) - Insurance
Essante Organics -
Essential Bodywear - Clothing
European Grouping of Marketing Professionals/CEDIPAC SA (dissolved 1995) -
European Home Retail (dissolved 2007) -
Evanescence Network - Health
EVER Skincare - Skincare/Health
Evolution Travel - Product
EvolvHealth - Health
Faberlic (Russia) - Health/Beauty/Home Goods
Family First Life - Insurance
Family Heritage Insurance - Insurance
Fantasia - Adult Novelties
Fantasia (Canada) - Adult Novelties
Farmasi -
FES Connect - Financial
Fibi & Clo - Footwear
Fifth Ave Collection - Jewelry
First Fitness Nutrition - Dietary Supplements
Fit4Mom - Clothing
FITTEAM Global - Dietary Supplements
Flamingo Paperie - Art
Fleuresse -
FM World (UK) -
For Tails Only - Pet Supplies
Forever Living - Health/Oils
Forex Education (iMarkets Live branch) - Crypto
Forex Entourage - Financial
Fortune Hi-Tech Marketing (dissolved 2013) -
Four Oceans - Health
Fragant Jewels - Bathbombs
FreeLife - Nutritional Supplements
Frontrow -
Fuel Freedom Int - Automotive
Fund America (Bankrupt 1990) -
Gano Excel - Nutritional Supplements
GelMoment - Beauty
Gemstra - Jewelry
Genesis Pure - Nutritional Supplements
Global Legacy Initiative -
GoDesana - Pet
Gold Canyon - Product/Candles
Golden Days (China) - Health
Grace & Heart - Jewelry
Green HoriZen - CBD
Greeting Cake Company - Cake Kits
H2O At Home - Personal Care
Hale - CBD Oil
Hanky Panky Parties (Canada) - Adult Novelties
Happy Coffee - Coffee
Harvard Risk Management (Legal Shield) -
Hayward's Gourmet Popcorn - Food
HB Naturals - Health
He(L)o - Health
Healthy Peach - Dietary Supplements
Heavenly Chia - Food
Heka Corp - Fitness
Helo Wristbands - Health
HempWorx - Health
Herbalife - Health
Heritage Makers - Scrapbooking
Hinode - Cosmetics
Holiday Magic (shut down) -
Home Interiors - Home Goods
Honey - Beauty
Honey & Lace - Clothing
Hualin Biotech (China) - Health
iCoinPro - Crypto Currency
ID Life - Health
Igniting Passion (Canada) - Adult Novelties
iMarketsLive - Financial Trading Software
Immunotec - Health
Imperial Candles (UK) - Candles
In a Pikle - Bags
Income Advantage -
India Hicks - Product/Accessories
Infinitus - Health
Initials, Inc - Bags
Inkd Up Nails - Beauty
innov8tive nutrition - Nutritional Supplements
InteleTravel - Travel
Intimo (AUS/NZ) - Adult Novelties
Isagenix - Dietary Supplements
ItWorks! - Health
J. Elizabeth - Clothing
J. Hilburn - Clothing
J.R Watkins -
Jafra - Beauty
Jamberry - Beauty
Jamby - Clothing
Jamie at Home (shut down) -
Janice Collection - Home Goods
Java Momma - Coffee
Javita - Coffee
Jbloom - Jewelry
Jequiti - Cosmetics
Jerky Direct -
Jeunesse - Beauty
Jewel Kade (31) - Jewelry
Jewelscent - Product/Candles
JK Apparel (Canada) - Clothing
Jordan Essentials - Beauty
JoyMain (China) - Health
Joyome (Plexus) - Beauty
JuicePlus - Nutritional Supplements
Jump Natural - Health
Kaesar & Blair -
Kalaia - Skincare/Health
Kalo & Co - Pearl/Jewelry
Kangen Water -
Kannaway - CBD Oil
Karat Bars - Gold
Kaszazz - Scrapbooking
Keep Collective - Jewelry
Keep Me Safe - Cos
KETO (Pruvit) -
Keto Coffee - Coffee
Ketones - Health
Kirby - Vacuums
Kleeneze - Home Goods
Kobold (Vorwerk) -
Kyani - Health
Labella Baskets - Home Goods
Lady Godiva Beauty - Cosmetics
Lavylites - Beauty
L'BRI - Beauty
LeadUp Consulting -
Legal Shield - Legal Services
LegArt (Canada) - Leggings
Legend Age (China) -
Legging Army - Clothing
Legging Girl - Clothing
Lemongrass Spa - Beauty
LeReve (Canada) - Cosmetics
Le-Vel (Thrive) - Health
Lia Sophia (dissolved) - Jewelry
Life Abundance - Pet
LIFE Leadership - Financial
Life Tree World - Food
LifeBrook -
LifePlus (US/Germany) - Dietary Supplements
Life's Abundance - Pet Supplies
LifeVantage - Dietary Supplements
Lilla Rose - Jewelry
Limelife - Skincare/Health
Limu - Health
Limu - Nutritional Supplements
Linen World - Home Goods
Lion Crown -
Lipsense - Beauty
Liv International - Travel
Live Sore - Clothing
Longabeger Company - Baskets
Longrich (China) - Beauty
Lorraine Lee Linen - Home Goods
Love Winx - Adult Novelties
LR Beauty & Health - Beauty
LuLaRoe - Clothing
Lulu Ave - Jewelry
Luminess - Cosmetics
Lyconet/Lyoness -
Lyoness - Financial
M. Global (Jamberry) - Jewelry
M. Network - Nutritional Supplements
Maelle Beauty - Beauty
Magnabilities - Jewelry
Magnolia & Vine - Jewelry
Makeup Eraser - Cosmetics
Man Cave - Kitchen Accessories
Mannatech - Dietary Supplements
Mark. - Financial
Market America - Health/Beauty/Home Goods
Marly Ray - Pearl/Jewelry
Marvelous Mouse Travels - Travel
Mary & Martha - Home Goods
MaryKay - Beauty
Maskara - Beauty
Matilda Jane - Clothing
Max & Madeleine - Skincare/Health
Maxwell Clothing - Clothing
MCA - Financial
Medifast - Nutritional Supplements
Melaleuca - Health/Beauty/Home Goods
Metabolife (dissolved in 2005) -
MiA Bath and Body (Closed) -
mialisia - Jewelry
Miche EU - Accessories
Miki (Asia) - Nutritional Supplements
MOA Nutrition - Nutritional Supplements
Modere -
MojiLife - Essential Oils
Monat - Hair Care
MonaVie (went into foreclosure 2015) -
Morinda Bioactives - Personal Care/Dietary Supplements
Motives Cosmetics - Cosmetics
Multpure - Water
My Club 8 - CBD Oil
My Daily Choice - Nutritional Supplements
My LALA Leggings - Clothing
myEcon - Financial
National Safety Associates - Dietary Supplements
National Wealth Center - Education
Natura (Brazil) - Cosmetics
Nature Direct (AUS) - Essential Oils
Nature's Sunshine Products - Dietary Supplements
Neal's Yard Remedies Organic - Beauty
NeoLife - Dietary Supplements
Neora (Nerium) -
Nerium - Skincare/Health
NeVetica - Pet Supplies
New Era (China) - Nutritional Supplements
New U Life - Health
Neways - Personal Care
Nikken -
Noevir - Beauty
Nomades - Jewelry
Noonday Collection - Jewelry
Norwex - Cleaning Producs
Nouveau Riche (real estate investment college) (dissolved 2010 -
Nspire Network - Feminine Products
NuCerity - Skincare/Health
NuSkin - Tooth Paste/Personal Care
Nutriboom -
NXIVM - Financial
Nygard - Clothing
Omnilife - Dietary Supplements
One Hope Wine - Wine
Optavia - Health
Opulenza - Jewelry
Organo Gold - Coffee
Oriflame - Personal Care
Origami Owl - Jewelry
Our Hearts Desire - Jewelry
Paid 2 Save - Travel
Pampered Chef - Kitchen Accessories
Paparazzi - Jewelry
Paperly - Paper
Park Lane Jewelry - Jewelry
Party Girl - Candles
Party Lite - Candles
Party Time Mixes - Food
PartyLite - Candles
Passion Parties - Adult Novelties
Pawtree - Pet
Paycation - Travel
Peach - Clothing
Pearl Chic - Pearl/Jewelry
Peekaboo Beans - Clothing
Perfect (China) - Cosmetics
Perfectly Polished - Beauty
Perfectly Posh - Beauty
Personally Poetic - Jewelry
PHP - Insurance
Pierre Lang - Jewelry
Pink Zebra - Candles
Piphany - Clothing
PixieLane - Clothing
Plexus - Health
Plumeria Bath - Beauty
Plunder - Jewelry
PM International - Health
Pola (Japan) - Skincare/Health
Poofy Organics - Beauty
Powur - Solar Panels
Premier Designs - Jewelry
Premier Financial - Financial
PrimeMyBody - Health
Primerica - Financial
Princess House - Kitchen Accessories
ProDoula -
ProYoung - Health
Pruvit - Health
Pulse Cosmetics - Cosmetics
Pure Haven - Cosmetics
Pure Romance - Product
PureHaven - Home Goods
PUREly - Essential Oils
Purium - Health
Qnet - Nutritional Supplements
Quanjian Natural (China) - Food
RadiantlyYou -
Rain International - Health
Rainbow Vacuum - Vacuums
Real Time Pain Relief - Health
Red Aspen - Beauty
RED Safety - Security
Regal Home and Gifts - Home Goods
Reliv - Health
Reliv - Nutritional Supplements
Renatus Real Estate - Education
RevitalU - Coffee/Health
Riway - Deer Placenta
Robert Kiyosaki -
Rodan+Fields - Beauty
Roland (Vorwerk) -
Rolmex (China) - Kitchen Accessories
Royal Tongan Limu (dissolved in 2003) -
Royaltie Gens - Marketing
Ruby Ribbon - Clothing
Saba - Health/Beauty
Sabika Jewelry - Jewelry
SafeGirl Security - Self Defense
Salad Master - Home Goods
SARSO (India) -
Scentsy - Health/Oils
Schneider's Gourmet World - Food
Scout & Cellar - Wine
Seacret - Beauty
SendOutCards - Gift Cards
Senegence - Skincare/Health
Shakeology (BeachBody) - Dietary Supplements
Shaklee - Dietary Supplements
Shopping Sherlock -
Shrimp & Grits - Clothing
Signature Homestyles - Home Goods
Silpada - Jewelry
Silver Icing - Jewelry
Simple Man - Personal Care
Simply Success Elite -
SimplyFun Games - Education
Skinny Body at Home - Dietary Supplements
SkinSanity/Tomorrow's Leaf - Skincare/Health
Smart Circle -
Smartway -
Solavei (dissolved 2015)[ -
Solvei (bankrupt) -
Sophie Paris (France/Asia) - Clothing
South Hill Designs - Jewelry
Southern Living at Home - Home Goods
SouthWestern Advantage - Education
Sseko - Clothing
Stampin Up - Paper
Steam Energy - Utilities
Steeped Tea - Tea
Stella & Dot - Clothing
Stream Energy - Financial
Style Dots - Jewelry
Success University - Education
Sun Hope (China) -
Sunrider - Health/Beauty/Home Goods
Sunset Gourmet - Food
Sunshine Empire (dissolved 2009) -
Surge 365 - Travel
Sweet Legs - Clothing
Sweet Minerals - Beauty
Symmetry Financial Group - Insurance
Syntek Global - Automotive
T.O.P Marketing Group -
TAG Team Marketing -
Taisei/Green Planet/Kaikisui (Japan_ - Purifiers
Tara at Home - Home Goods
Tastefully Simple - Food
Tavala - Health
Tealightful - Tea
Team National - Financial
TeDivina - Tea
Telecom Plus (UK) - Utilities
Telexfree (bankrupt 2014) -
The Advert Platfrom - Crypto Currency
The Body Shop at Home - Beauty
The Landmark Forum - Health
The Super Affiliate Network - Marketing
Thermomix (Vorwerk) -
Thirty One - Bags
Thrive - Health
Thrive Life - Food
Tiber River Naturals - Beauty
TKO WorldWide -
Tocara (Canada) - Jewelry
Tom James - Clothing
Total Life Changes/TLC - Health
TouchStone Crystal - Jewelry
Touchstone Essentials - Dietary Supplements
Tracy Negoshian - Clothing
Trades of Hope - Jewelry
Tranont - Financial
Transformational Beauty - Cosmetics
Travel Evolution - Travel
Traveling Vineyard - Wine
TraVerus Global - Travel
TriVita - Nutritional Supplements
Tropic Skin Care - Skincare/Health
True Peak Revolution (Europe) -
Truvision Health - Health
TS-Life - Nutritional Supplements
Tupperware - Tupperware
Unicity - Health
United Sciences of America (dissolved in 1987) -
United Warehouse (UK) -
US Health Advisors -
Usana - Nutritional Supplements
Usborne - Books
Utility Warehouse (UK) - Utilities
Valentus - Dietary Supplements
Vantel - Product/Pearls
Vasayo - Health
VectoCutco - Knives
Vemma - Dietary Supplements
viaOneHope - Wine
ViBella - Jewelry
VIC Cosmetics -
Vida Divina - Tea
Vie at Home (closed) -
Virtuity Financial Group (World Financial Group) -
ViSalus (Body by VI) - Dietary Supplements
Vitality Extracts - Essential Oils
VivaMK - Cleaning Producs
Volo - Health
Vorwerk - Home Goods
Votre Belle Maison (UK) - Giftware
Voxxlife - Health
Wakaya Perfection - Health
WakeUpNow (dissolved 2015) -
Watkins Inc - Health/Home Goods
Wealthperx - Travel
Wikaniko - Home Goods
Wildtree - Food
Willing Beauty - Beauty
Winasun - Health
Wine Shop at Home - Wine
Wines for Humanity - Wine
Wink Naturals - Health
World Financial Group/Pinnacle Leadership Development - Financial
World Leadership Group (dissolved in 2008) -
World Ventures/Wealth Wave/TKO WorldWide - Travel
WoTaBu - Travel
XanGo/Ziji - Health
Xerveo - Dietary Supplements
Xoom Energy - Utilities
Xooma - Weight Loss
Xstream Travel - Travel
Xyngular - Health
Yanbal Int - Jewelry
Yandi (China) - Nutritional Supplements
Yelloow - Beauty
Yevo (closed) -
Yofoto (China) - Health
Yoli - Health
Yoonla -
YOR Health - Weight Loss
Young Living - Health
Youngevity -
Younique - Beauty
YTB International - Travel
Zepter -
Zija - Health
Zilis - Health
Zinzino (Scandanavia) -
Zrii - Skincare/Health
Zurvita - Health
Zyia - Clothing
Zyn - Travel
TOTAL COUNT = 594 ​ This list will be continually updated (5/19/2020).
2018 Archived MLM Mega Thread

Sources: https://mlmtruth.org/2018/02/08/the-mlm-master-list/ , https://en.wikipedia.org/wiki/List_of_multi-level_marketing_companies Special thanks to u/Copacetic1515 (I could not stick your thread)

For income disclosure information: Updated 2019 Thread

Other Helpful Links: Discussion about World Financial Group
submitted by antiMLMmod to antiMLM [link] [comments]

Reddit : Forex Trading For Beginners - Audusd Analysis In 60 sec

Reddit : Forex Trading For Beginners - Audusd Analysis In 60 sec
#forex_trading #forex_trading_strategies
https://www.youtube.com/watch?v=rNdBgsiWCEw
Forex Trade - Technical Analysis Audusd
Analysis Number 11
11 November 2020
......................................................................................................
. #Here_is_our_forex_analysis_on_this_pair,
Daily is a strong uptrend and the structure is all bullish. We will wait for the price to come back down to our zone then we will look for confirmations.
#Note_:_Read_Disclaimer_Below
........................................................................................................................
Don't Forget to #Like_and_Subscribe to our YouTube Channel so you wont miss any analysis. $30 NO DEPOSIT BONUS available ONLY to New Clients and Claim Yours Before the Promotion is Over. https://clicks.pipaffiliates.com/c?c=... .
.....................................................................................................
Forex trade entry will only be taken if all rules of our forex trading strategy will be met. At the moment we will monitor price action at the marked zone, Then we will look for an entry according to our forex trading analysis with proper Risk management, and with a good risk to reward ratio. You can keep this pair's forex trading analysis on your watchlist and monitor it. If your forex trading rules and your strategy align with the analysis made, only then you can decide to take your trades or not. Have a good forex trading day everyone. New to forex trading ?? If you don't have a forex trading account and would like to try forex trading, then follow the link below to open your forex trade account with a trusted broker.
Recommended Broker https://www.xm.com/referral?token=Luz... You don't have to use this broker, you can choose other brokers also if you find them. ...............................................................................................
Note : USE PROPER RISK MANAGEMENT.
: Use your own strategy and to reconfirm setups before taking any trades.
................................................................................................
Blog Site - https://forextradingforbeginners101.b...
Telegram - https://t.me/fxlifestyletelegram
Tradingview - https://www.tradingview.comlovelove
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Facebook Group - https://www.facebook.com/groups/64826...
YouTube - https://youtube.com/channel/UC23pgPGP...
.............................................................................
Recommended Broker https://www.xm.com/referral?token=Luz...
.........................................................
@@ Next big crypto... mine before launch.. @@ The Story Of Pi - The First Digital Currency You Can Mine On Your Phone.
Invitation Link Below https://minepi.com/Hunter30 Use the code "Hunter30" People can join through personal invitations only.
..................................................................................................................... #forex,#forex_trading,#beginner_trader,#beginners_guide_trading,#beginners_forex_guide,#forex_trading_for_beginners_course,#trading_for_beginners,#forex_trading_for_beginners_mt4,#forex_trading_strategies_for_beginners,#forex_trading,#daily_forex_forecast_for_beginners,#daily_forecast_for_beginners,#forex_trading_strategies,#forex_daily,#daily_forex_analysis,#Forex_strategies,#Analysis_today,#forex_trading_strategy,#trading_strategy_for_beginners,#forex_trading_metatrader_4#forex_trading_live,# #Forex_trading_for_beginners, #forex_trading_platforms, #forex_trading_strategies,#learn_forex_trading,#forex_for_beginners,#forex_trading_for_dummies,#forex_trading_training,#best_forex_brokers_for_beginners,#price_action,#forex_strategies,#scalping_strategy,#forex_indicators,#scalping_forex,#50_pips_a_day_forex_strategy,#price_action_strategy,#day_trading_and_swing_trading_the_currency_market,#price_action_forex,#forex_scalping_strategy,, #how_to_trade_forex, #how_to_trade_bitcoin, #how_to_trade_online, #how_to_trade_option, #how_to_trade_stocks, #how_to_trade_with_$100,#how_to_trade_forex_successfully. .......................................................................................................................
Disclaimer - Any information shared is intended for educational purposes only and does not give financial advice. Forex trading involves great risk of financial loss. Only trade with money that you are prepared to lose. Forex Trading For Beginners, we take no responsibility for money made or lost by you. You must make your own financial decisions yourself.
submitted by technicalanalysis101 to u/technicalanalysis101 [link] [comments]

Forex Trading For Beginners - Cadchf Forecast for Nov 16 - 20

Forex Trading For Beginners - Cadchf Forecast for Nov 16 - 20 Forex Trade - Technical Analysis Cadchf Analysis Number 1 15 November 2020
https://forextradingforbeginners101.blogspot.com/2020/11/forex-trading-for-beginners-cadchf_14.html
.......................................................................................................
#Here_is_our_forex_analysis_on_this_pair,
Currently Cadchf is on a bullish structure. We will monitor price action at the marked zone for any confirmations according to our rules to go long. #Note_:_Read_Disclaimer_Below ........................................................................................................................ Don't Forget to #Like_and_Subscribe to our YouTube Channel so you wont miss any analysis. $30 NO DEPOSIT BONUS available ONLY to New Clients and Claim Yours Before the Promotion is Over. https://clicks.pipaffiliates.com/c?c=... ...................................................................................................... Forex trade entry will only be taken if all rules of our forex trading strategy will be met. At the moment we will monitor price action at the marked zone, Then we will look for an entry according to our forex trading analysis with proper Risk management, and with a good risk to reward ratio. You can keep this pair's forex trading analysis on your watchlist and monitor it. If your forex trading rules and your strategy align with the analysis made, only then you can decide to take your trades or not. Have a good forex trading day everyone. New to forex trading ?? If you don't have a forex trading account and would like to try forex trading, then follow the link below to open your forex trade account with a trusted broker. Recommended Broker https://www.xm.com/referral?token=Luz... You don't have to use this broker, you can choose other brokers also if you find them. ............................................................................................... Note : USE PROPER RISK MANAGEMENT. : Use your own strategy and to reconfirm setups before taking any trades. ................................................................................................ Blog Site - https://forextradingforbeginners101.b... Telegram - https://t.me/fxlifestyletelegram Tradingview - https://www.tradingview.comlovelove Twitter - https://twitter.com/FxLifes30183986 Pinterest - https://www.pinterest.com/forexlifestyle Facebook Page - https://www.facebook.com/Fx-Lifestyle... Facebook Group - https://www.facebook.com/groups/64826... YouTube - https://youtube.com/channel/UC23pgPGP... ............................................................................. Recommended Broker https://www.xm.com/referral?token=Luz... ......................................................... @@ Next big crypto... mine before launch.. @@ The Story Of Pi - The First Digital Currency You Can Mine On Your Phone. Invitation Link Below https://minepi.com/Hunter30 Use the code "Hunter30" People can join through personal invitations only. ..................................................................................................................... #forex,#forex_trading,#beginner_trader,#beginners_guide_trading,#beginners_forex_guide,#forex_trading_for_beginners_course,#trading_for_beginners,#forex_trading_for_beginners_mt4,#forex_trading_strategies_for_beginners,#forex_trading,#daily_forex_forecast_for_beginners,#daily_forecast_for_beginners,#forex_trading_strategies,#forex_daily,#daily_forex_analysis,#Forex_strategies,#Analysis_today,#forex_trading_strategy,#trading_strategy_for_beginners,#forex_trading_metatrader_4#forex_trading_live,# #Forex_trading_for_beginners, #forex_trading_platforms, #forex_trading_strategies,#learn_forex_trading,#forex_for_beginners,#forex_trading_for_dummies,#forex_trading_training,#best_forex_brokers_for_beginners,#price_action,#forex_strategies,#scalping_strategy,#forex_indicators,#scalping_forex,#50_pips_a_day_forex_strategy,#price_action_strategy,#day_trading_and_swing_trading_the_currency_market,#price_action_forex,#forex_scalping_strategy,, #how_to_trade_forex, #how_to_trade_bitcoin, #how_to_trade_online, #how_to_trade_option, #how_to_trade_stocks, #how_to_trade_with_$100,#how_to_trade_forex_successfully. ....................................................................................................................... Disclaimer - Any information shared is intended for educational purposes only and does not give financial advice. Forex trading involves great risk of financial loss. Only trade with money that you are prepared to lose. Forex Trading For Beginners, we take no responsibility for money made or lost by you. You must make your own financial decisions yourself.
submitted by technicalanalysis101 to u/technicalanalysis101 [link] [comments]

Top 5 Most Famous Traders Of All Time

In all industries there are people credited to being the simplest .
In design, the late Steve Jobs is credited to being the simplest in his industry. In boxing, Muhammad Ali was credited to being the simplest boxer of all time.
In U.S. politics, there's a consensus that Lincoln was the nation’s greatest President by every measure applied.
In the trading world, a variety of traders are known worldwide for his or her skills. From Jesse Livermore to George Soros, we are sharing these tales of past and present traders who had to claw their thanks to the highest .
Here, we'll check out the five most famous traders of all time and canopy a touch bit about each trader and why they became so famous.
Jesse Livermore
Jesse Livermore jumped into the stock exchange with incredible calculations at the age of 15, amassed huge profits, then lost all of them , then mastered two massive crises and came out the opposite side while following his own rules, earning him the nickname “The Great Bear of Wall Street.”
Livermore was born in 1877 in Shrewsbury, Massachusetts.
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He is remembered for his incredible risk taking, his gregarious method of reading the potential moves within the stock exchange , derivatives and commodities, and for sustaining vast losses also as rising to fortune.
He began his career having run far away from home by carriage to flee a lifetime of farming that his father had planned for him, instead choosing city life and finding work posting stock quotes at Paine Webber, a Boston stockbroker.
Livermore bought his first share at 15 and earned a profit of $3.12 from $5 after teaching himself about trends.
George Soros
George Soros has a fantastic backstory.
Born in Hungary in 1930 to Jewish parents, Soros survived the Holocaust and later fled the country when the Communists took power. He went on to become one among the richest men and one among the foremost famous philanthropists within the world.
Most day traders know him for his long and prolific career as a trader who famously “broke the Bank of England” in 1992. Soros made an enormous bet against British Pound, which earned him $1 billion in profit in only 24 hours.
Along with other currency speculators, he placed a bet against the bank’s ability to carry the road on the pound. He borrowed pounds, then sold them, helping to down the worth of the currency on forex markets and ultimately forcing the united kingdom to crash out of the ecu rate of exchange Mechanism.
It was perhaps the quickest billion dollars anyone has ever made and one among the foremost famous trades ever taken, which later became referred to as “breaking the Bank of England”.
Soros is believed to have netted a complete of about $44 billion through financial speculation. And he has used his fortune to find thousands of human rights, democracy, health, and education projects.
Richard Dennis
There are only a couple of traders which will take a little amount of cash and switch it into millions and Richard Dennis was one among them.
Known as the “Prince of the Pit”, Dennis is claimed to have borrowed $1,600 when he was around 23 years old and turned it into $200 million in about 10 years trading commodities. Even more interesting to notice , he only traded $400 of the $1,600.
Not only did he achieve great success as a commodities trader, he also went on to launch the famous “Turtle Traders Group”. Using mini contracts, Dennis began to trade his own account at the Mid America commodities exchange .
He made a profit of $100,000 in 1973. The subsequent year, he capitalized on a runway soybean market to earn $500,000 in profits. He became an impressive millionaire at the top of the year.
However, he incurred massive losses within the Black Monday stock exchange crash in 1987 and therefore the dot-com bubble burst in 2000.
While he's famous for creating and losing tons of cash , Dennis is additionally famous for something else – an experiment. He and his friend William Eckhardt recruited and trained traders, a couple of men and ladies, the way to trade futures. These so-called Turtle Traders went on to form profits of $175 million in 4 years, consistent with a former student.
Paul Tudor Jones
Paul Tudor Jones thrust into the limelight within the 80s when he successfully predicted the 1987 stock exchange , as shown within the riveting one hour documentary called “Trader”.
The legendary trader was born in Memphis, Tennessee in 1954. His father ran a financial and legal trade newspaper. While he was in college, he want to write articles for the newspaper under the pseudonym, “Eagle Jones”.
Jones began his journey within the finance business by trading cotton. He started trading on his own following 4 years of non-trading experience, made profits from his trades but got bored, and later hired people to trade for him so he would not get bored.
But the trade that shot him to fame came on Black Monday in 1987, when he made an estimated $100 million whilst the Dow Jones Industrial Average plunged 22%.
He became a pioneer within the area of worldwide macro investing and was an enormous player within the meteoric growth of the hedge fund industry. He's also known for depending on currencies and interest rates.
He founded his hedge fund, Tudor Investment Corp, in 1980. The fund currently has around $21 billion in assets under management and he himself has an estimated net worth of nearly $5.8 Billion.
John Paulson
Super-trader John Paulson built a private fortune worth $4.4 billion from managing other people’s money. Born in 1955, Paulson made his name and far of his money betting a huge amount of money against the U.S. housing market during the worldwide financial crisis of 2007–2008.
Paulson bought insurance against defaults by subprime mortgages before the market collapse in 2007. He netted an estimated $20 billion on the collapse of the subprime mortgage market, dubbed the best trade ever.
However, his diary since that bet has been patchy at the best . Within the years following the financial crisis, Paulson struggled to match this success.
Failed bets on gold, healthcare and pharmaceutical stocks caused investors to escape his hedge fund Paulson & Co, cutting its assets under management to $10 billion as of January 2020 from a high of $36 billion in 2011.
Earlier this year, Paulson announced the fund would stop managing money for outdoor clients and switch it into a family office. He launched the fund in 1994.
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Cryptocurrency Investment Script

Cryptocurrency Investment Script
It has been more than a year, people started investing in cryptocurrencies as a Secondary earning method. Some people's main earning base is investing. There will be a common wording - "Never Invest in Something You Don’t Understand". So it's mandatory to have basic ideas about cryptocurrency, Fiats, and Investment before jumping into the digital world. Actually, it's a vast field, you can't complete it. But you can learn enough to find your feet.
What is Cryptocurrency?
We can say simply as digital currencies that are of codes. A cryptocurrency is not owned or backed by any government or country. A cryptocurrency is a new form of digital asset based on a network that is distributed across a large number of computers. Mainly they are decentralized networks maintained using blockchain technology. I.e Distributed ledger. You can call it Money that was created by the people for them and they are controlling it. Many Governments and legal authorities are against cryptocurrency as they have many advantages over regular currencies.

https://preview.redd.it/o8ss0acmezy51.png?width=1280&format=png&auto=webp&s=37acdfa2b625bf3a5926e3a103867e8dd1c3247b
What are Fiat Currencies?
Currencies that are owned and controlled by any government are called FIAT currencies. Some of the well known Fiat currencies are USD(United States Dollar), GBP(Great Britain Pound or Sterling Pound), AUD(Australian Dollar), CNY(Chinese Yen), JPY(Japanese Yen), INR(Indian Rupee), etc.,
FIATs always lacking in the characteristics of sound money. Cryptocurrencies fill almost all gaps. As there are many advantages, the main thing is it's not controlling by any third party sources. Every transaction is made ledger and made available to all users.
Investment based on Cryptocurrency
One can invest Fiat currency as well as cryptocurrency, there will be a fixed profit for them and variable profit for them as per the investment platform they choose. As an investor, you have to select the best platform for your investment. You have to be aware of a scam as well as a real platform that gives you promised profit. Always we have to keep in mind that successful investing is about managing the risk, you have to be ready to face the risk too. There many easy go investment platforms that are helping to attain certain profit over the market. Even you don't have the knowledge about trading, exchange; investing in a proper platform will give you profit. There are multiple ways where you can invest in cryptocurrency and earn more. Some of the well known facts are HYIP investment platforms, peer to peer Exchange platforms, Forex trading using signals also now some newly trended cryptocurrency investment script like PAMM managers, Copy Trading and Auto Trading. There is a wide range of cryptocurrency based opportunity available, choosing the right platform with complete security and risk management is a wise choice. Now there are more opportunities available to start a new investment platform on your own. If you wanna be an entrepreneur, you can choose one among the Ready to use investment software and run your own website. Finally, If you don't find a way to earn while sleeping, you will work until you die!
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Stay tuned for Forex signals and learns about it!

Assure that we always treat our customers like a member of their family. Foreign currency signals are those signals that are generated by experts for individuals who are participating during the trade, exchange market. For more information then you can visit you website.
https://www.fxaceprosignals.com/forex-signals-1
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10 Ways to Make Money Online in South Africa

There are a lot of opportunities online for anyone that wants to make a little extra money. From a part-time hustle to an all-out digital career, there are loads of ways that you can make money with an electronic device, and a connection to the internet.

  1. Paid Surveys - Did you know that thousands of South Africans earn extra income by simply participating in online surveys to help local companies improve their products? Finally, now you have an opportunity to do this as well! You can find a list of the top survey sites for South Africa HERE
  2. Selling Your Photos Online - Selling photos is a wonderful way to make money online if you have an aptitude for photography. Two popular platforms that you can try are Shutterlock and Unsplash. Every platform will have different requirements, but they will all pay you in hard cash. Though the photography market is quite hectic, it’s still a good method of gaining a passive income if you’re persistent and professional. Plus, the opportunity for additional sales is higher when your photos become popular. Many companies need photos of landscapes, and we all know that South Africa has some of the most amazing scenery in the world. In some cases, a smartphone is enough to get started, depending on the stock photo site you choose.
  3. Be a Freelance Content Writer - Freelance writing is a serious online business. The internet enters most areas of our life, and the need for blog articles and various types of content is exploding. There are many kinds of online writing work, and many people need things like product descriptions or simple reviews. Before going further in this direction, you first need to set up a blog or website. This will be an amazing portfolio where you can demonstrate to potential clients or businesses that you can deliver great work. A LinkedIn profile can be created to function as an online portfolio as well. Don’t forget that many writing clients will want to see specialized work, so be sure to consider what area you would like to specialize in. The pay for online writing varies, but with some practice, you should be able to make a decent part-time income.
  4. Sell Unwanted Goods - You can sell your unwanted stuff to people who want it and make your side business a real money maker. There’s plenty of options to use for sales such as Gumtree or Amazon. Don’t forget to do some research and see what assets have recently been sold so you have a target price. If you a business, you can sell other people’s goods as well. Many people don’t have the time or patience to sell goods online, and you can do it for them. If you charge a reasonable percentage of the sales, you can make a solid business out of selling used goods online.
  5. Build a Personal blog/website - Not only can you write for companies to gain income but you’re also able to run your own blog to raise money as well. Set your expectations at a reasonable level because this job requires consistent practice and lots of patience. Bloggers make a profit, often through press coverage, advertising products, and writing sponsored guest posts. You will need to run the blog for a while before you can expect to see any profits, but it is very simple to get started. Check out some of the other ideas on this list for ways to leverage a blog for greater income, like selling drop shipped items.
  6. Legitimate Remote Jobs can Pay Real Money - Many companies are heading to a work-from-home style of business since this type of model helps save money, and eliminates the risk of illnesses. People are completely flexible while working for a company and selecting where they decide to spend their time.CrowdSource, for example, hires remote writers, editors, and other jobs that can be done easily from anywhere. Companies like Fast Chart offer work-from-home options for medical transcriptionists. You can also try seeking opportunities at LiveOps, a call center staff. You might be surprised at how much time and money you save when you work at home. There is no transit, and you can cook for yourself. Think about it!
  7. Become a Dropshipper - Dropshipping is not a strange term, especially when eCommerce is booming. Anyone can be a drop shipper since the work requires low investment at the beginning and also guarantees minimal risk. The system operates by purchasing the stock (goods) from a third party supplier or manufacturer, who then fulfills the customer’s request. You don’t have to shop or handle goods in advance because the product comes directly from the vendors whenever an order is placed by a customer. There are many dropshipping platforms out there, and some are basically free to use. You will need to figure out how to market the goods, which is where a blog or website comes in very handy.
  8. Affiliate Marketing - Affiliate marketing is a popular method of making money online in South Africa and across the world. You can sell into a variety of markets with this business model, and make money almost anywhere. You can generate revenue from product sales. In other words, affiliate marketers will refer readers to a lot of products and get a small cut from them. Once a customereader buys products, you will earn a commission. A widely known approach is to start creating your own blog in a specific niche and to establish a trustworthy community that can purchase your promotions. Unlike dropshipping, you simply get a commission and have no other responsibilities. So easy! Check out SA’s leading affiliate network – https://www.affiliate.co.za/
  9. Online Business with Etsy - Try selling DIY designs and crafts on Etsy if you’re a skilled maker. An Etsy shop is basically free to operate, and you can make real money with the platform. Once your registration is complete, you can start posting photos of your works, and people can purchase your products. There is really no limit to what can be sold on Etsy, but make sure that you are able to send your goods to other countries, as many buyers are likely to be in the EU or North America. A PayPal account is important to have and also a popular payment choice so that customers can pay you quickly. Take nice pictures of the items to help draw purchasers into a sale. Make sure that you have good customer service as well, or you won’t be selling on the platform for very long!
  10. Forex Trading - You might have heard about trading FOREX or Contract For Difference (CFD) trading. The basics of this online money-making are simple. You will choose a currency pair, and bet on the direction of one currency vs. the other. For example, you could speculate that the EURO will appreciate vs. the RAND (or just about any currency). If you are correct, and then sell the contract, you will make profits. While this might sound easy, most people who do this lose money. In addition to currency, most retail FOREX brokers will allow you to trade in other markets, such as commodities, or shares. If you are looking for a reliable income, this probably isn’t right for you. On the other hand, if you don’t mind taking on risks, trading FOREX can be extremely profitable.
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Dollar looks for benefits. Forecast as of 13.11.2020

Dollar looks for benefits. Forecast as of 13.11.2020
Investors wonder if it is relevant to sell the greenback as a safe haven or to buy because the US economy performs better than the euro-area. Therefore, the EURUSD tends to consolidate. Let us discuss this and make up a trading plan.

Weekly US dollar fundamental forecast

The market is like an ocean; the calm follows the storm. But calm sometimes is anxious; investors can’t define the further trend direction. Investors start exiting longs on the US stocks amid the record number of hospitalizations in the USA. Besides, the number of new COVID-19 cases is above 100,000 per day during nine consecutive days, and some US governors impose new restrictions. Another strict lockdown will hardly occur, but local isolation will result in job losses and an economic downturn. The EURUSD bulls will lose the major benefit if the S&P 500 fails to continue the rally.
The euro is supported by easing the market uncertainty and the hope for the global GDP recovery amid the vaccination. The US dollar could benefit from the divergence in economic expansion and monetary policies. According to 90% of 65 Wall Street Journal experts, the financial markets' uncertainty will ease as the US voting results are announced, and there is positive news about the vaccines. 80% of specialists expect the market to stabilize soon. According to Christine Lagarde, the ECB sees far less uncertainty than before amid Joe Biden's victory, progress on Brexit, and successful vaccine tests. The more clarity there is in the market, the less reason to buy safe-haven assets, including the US dollar.
On the other hand, the greenback should benefit from US economic performance. According to Wall Street Journal experts, the euro-area economy is likely to face a double recession while the US economy will show better results than earlier expected. The US GDP should contract by 2.7%, compared to the previously expected drop of 3.6%. The unemployment rate will drop to 6.7%, not to 7.8%. The risk of another downturn within twelve months has been significantly down.

Dynamics of risk of US economic recession


Source: Wall Street Journal
The forecasts of experts look optimistic, but the pandemic does not end. Jerome Powell warns that the next few months will be tough for the United States and that it is too early to assess the impact of vaccine news on the economy's development. New restrictions can discourage those who think the glass is half full.
If the greenback loses the advantage of growth divergence, it may benefit from underestimating uncertainty. There are more than enough reasons for uncertainty growth. It is not known whether Washington's attitude towards Beijing will soften under Biden. It is unknown if Democrats and Republicans will find common ground over the fiscal stimulus. 58% of Wall Street Journal experts expect the stimulus of $1 trillion -$2 trillion, 29% expect less than $1 trillion, 13% predict a stimulus package of $2.1 trillion -$3 trillion.

Weekly EURUSD trading plan

Therefore, some benefits of the US dollar have exhausted, some still work. That is why the EURUSD trend is not clear. If the pair breaks out the resistance at 1.1845, the bulls should go ahead. On the other hand, if the price goes below the support at 1.176, the bears can take control.
For more information follow the link to the website of the LiteForex
https://www.liteforex.com/blog/analysts-opinions/dollar-looks-for-benefits-forecast-as-of-13112020/?uid=285861726&cid=62423
submitted by Maxvelgus to Finance_analytics [link] [comments]

Euro and ‘fun isolation’. Forecast as of 12.11.2020

Euro and ‘fun isolation’. Forecast as of 12.11.2020
The history repeats. In late spring-early autumn, the S&P 500 pushes the EURUSD up. The same could occur in the rest of 2020. Let us discuss the Forex outlook and make up a EURUSD trading plan.

Monthly euro fundamental forecast

I have often mentioned that the fourth quarter should be similar to the second, although the disaster should be less dramatic. This is evident from economic data, which suggests the current restrictions hit the euro-area economy. However, the damage is far less than it was during the previous lockdown. People continue going to work, manufacturing operates, and the government restricts entertainment and retail trading. The so-called ‘fun isolation’ suggests that vaccines' introduction will allow the euro-area economy to recover soon. This fact lets me hope that the EURUSD correction won’t be deep.
Of course, the ECB would like the euro to cost as little as possible, which will support exports and accelerate inflation. In her recent speech, Christine Lagarde highlighted the effectiveness of the Pandemic Emergence Purchase Program (PEPP) and anti-crisis long-term refinancing operation (LTRO). This was a clear signal that both of them will be expanded in December. On the other hand, the ECB president did not say anything about interest-rate changes. It is quite possible that by increasing the scale of QE, the ECB will cause the same reaction in EURUSD as the Bank of England did by its similar actions. Remember, the pound rose in response to the BoE monetary easing in November.

Dynamics and structure of ECB assets


https://preview.redd.it/g309gkp0cty51.jpg?width=576&format=pjpg&auto=webp&s=a7f25d34d6feb075e8e00e412ac7f07fe94005c9
Source: Bloomberg
But still, the primary growth driver for the EURUSD is not the liquidity trap suggesting lower efficiency of the stimulating measures as their volumes increase and inadequate response of the regional currency. That is the rally of the US stock indexes, which supports the euro. Yes, the S&P 500 growth on November 9 unexpectedly supported the dollar. But this situation resulted from the realization of the investment idea of Biden’s victory in the US presidential election. The correlation between the US stock market and the EURUSD should soon restore, which could encourage the euro bulls to go ahead.
The record stimuli as the response to the recession have poured a huge amount of money into the financial system. Ahead of the elections, investors preferred to hold cash because of uncertainty. Now, that money goes back into the market. Amid positive news about vaccines, the S&P 500 rallies thanks to traditional industries, including industry and banking. As soon as there are talks about a long vaccine introduction process, the stock market is still rising. This time thanks to the tech stocks.

Monthly EURUSD trading plan

The current situation looks like that of the second quarter when the US and the euro-area economies slid down into recession, and the S&P 500 was growing. Investors expected the recession to end soon, and the GDP recovery to be V-shaped. The same is now. It will take a long time to introduce the COVID-19 vaccine after it has been approved. However, the stock indexes are rallying up, suggesting purchases of the EURUSD if the price closes above 1.18 and 1.1845. Otherwise, the US stock market correction will send the euro down to $1.172 and $1.167.
For more information follow the link to the website of the LiteForex
https://www.liteforex.com/blog/analysts-opinions/euro-and-fun-isolation-forecast-as-of-12112020/?uid=285861726&cid=62423
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