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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.
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Former investment bank FX trader: Risk management part II

Former investment bank FX trader: Risk management part II
Firstly, thanks for the overwhelming comments and feedback. Genuinely really appreciated. I am pleased 500+ of you find it useful.
If you didn't read the first post you can do so here: risk management part I. You'll need to do so in order to make sense of the topic.
As ever please comment/reply below with questions or feedback and I'll do my best to get back to you.
Part II
  • Letting stops breathe
  • When to change a stop
  • Entering and exiting winning positions
  • Risk:reward ratios
  • Risk-adjusted returns

Letting stops breathe

We talked earlier about giving a position enough room to breathe so it is not stopped out in day-to-day noise.
Let’s consider the chart below and imagine you had a trailing stop. It would be super painful to miss out on the wider move just because you left a stop that was too tight.

Imagine being long and stopped out on a meaningless retracement ... ouch!
One simple technique is simply to look at your chosen chart - let’s say daily bars. And then look at previous trends and use the measuring tool. Those generally look something like this and then you just click and drag to measure.
For example if we wanted to bet on a downtrend on the chart above we might look at the biggest retracement on the previous uptrend. That max drawdown was about 100 pips or just under 1%. So you’d want your stop to be able to withstand at least that.
If market conditions have changed - for example if CVIX has risen - and daily ranges are now higher you should incorporate that. If you know a big event is coming up you might think about that, too. The human brain is a remarkable tool and the power of the eye-ball method is not to be dismissed. This is how most discretionary traders do it.
There are also more analytical approaches.
Some look at the Average True Range (ATR). This attempts to capture the volatility of a pair, typically averaged over a number of sessions. It looks at three separate measures and takes the largest reading. Think of this as a moving average of how much a pair moves.
For example, below shows the daily move in EURUSD was around 60 pips before spiking to 140 pips in March. Conditions were clearly far more volatile in March. Accordingly, you would need to leave your stop further away in March and take a correspondingly smaller position size.

ATR is available on pretty much all charting systems
Professional traders tend to use standard deviation as a measure of volatility instead of ATR. There are advantages and disadvantages to both. Averages are useful but can be misleading when regimes switch (see above chart).
Once you have chosen a measure of volatility, stop distance can then be back-tested and optimised. For example does 2x ATR work best or 5x ATR for a given style and time horizon?
Discretionary traders may still eye-ball the ATR or standard deviation to get a feeling for how it has changed over time and what ‘normal’ feels like for a chosen study period - daily, weekly, monthly etc.

Reasons to change a stop

As a general rule you should be disciplined and not change your stops. Remember - losers average losers. This is really hard at first and we’re going to look at that in more detail later.
There are some good reasons to modify stops but they are rare.
One reason is if another risk management process demands you stop trading and close positions. We’ll look at this later. In that case just close out your positions at market and take the loss/gains as they are.
Another is event risk. If you have some big upcoming data like Non Farm Payrolls that you know can move the market +/- 150 pips and you have no edge going into the release then many traders will take off or scale down their positions. They’ll go back into the positions when the data is out and the market has quietened down after fifteen minutes or so. This is a matter of some debate - many traders consider it a coin toss and argue you win some and lose some and it all averages out.
Trailing stops can also be used to ‘lock in’ profits. We looked at those before. As the trade moves in your favour (say up if you are long) the stop loss ratchets with it. This means you may well end up ‘stopping out’ at a profit - as per the below example.

The mighty trailing stop loss order
It is perfectly reasonable to have your stop loss move in the direction of PNL. This is not exposing you to more risk than you originally were comfortable with. It is taking less and less risk as the trade moves in your favour. Trend-followers in particular love trailing stops.
One final question traders ask is what they should do if they get stopped out but still like the trade. Should they try the same trade again a day later for the same reasons? Nope. Look for a different trade rather than getting emotionally wed to the original idea.
Let’s say a particular stock looked cheap based on valuation metrics yesterday, you bought, it went down and you got stopped out. Well, it is going to look even better on those same metrics today. Maybe the market just doesn’t respect value at the moment and is driven by momentum. Wait it out.
Otherwise, why even have a stop in the first place?

Entering and exiting winning positions

Take profits are the opposite of stop losses. They are also resting orders, left with the broker, to automatically close your position if it reaches a certain price.
Imagine I’m long EURUSD at 1.1250. If it hits a previous high of 1.1400 (150 pips higher) I will leave a sell order to take profit and close the position.
The rookie mistake on take profits is to take profit too early. One should start from the assumption that you will win on no more than half of your trades. Therefore you will need to ensure that you win more on the ones that work than you lose on those that don’t.

Sad to say but incredibly common: retail traders often take profits way too early
This is going to be the exact opposite of what your emotions want you to do. We are going to look at that in the Psychology of Trading chapter.
Remember: let winners run. Just like stops you need to know in advance the level where you will close out at a profit. Then let the trade happen. Don’t override yourself and let emotions force you to take a small profit. A classic mistake to avoid.
The trader puts on a trade and it almost stops out before rebounding. As soon as it is slightly in the money they spook and cut out, instead of letting it run to their original take profit. Do not do this.

Entering positions with limit orders

That covers exiting a position but how about getting into one?
Take profits can also be left speculatively to enter a position. Sometimes referred to as “bids” (buy orders) or “offers” (sell orders). Imagine the price is 1.1250 and the recent low is 1.1205.
You might wish to leave a bid around 1.2010 to enter a long position, if the market reaches that price. This way you don’t need to sit at the computer and wait.
Again, typically traders will use tech analysis to identify attractive levels. Again - other traders will cluster with your orders. Just like the stop loss we need to bake that in.
So this time if we know everyone is going to buy around the recent low of 1.1205 we might leave the take profit bit a little bit above there at 1.1210 to ensure it gets done. Sure it costs 5 more pips but how mad would you be if the low was 1.1207 and then it rallied a hundred points and you didn’t have the trade on?!
There are two more methods that traders often use for entering a position.
Scaling in is one such technique. Let’s imagine that you think we are in a long-term bulltrend for AUDUSD but experiencing a brief retracement. You want to take a total position of 500,000 AUD and don’t have a strong view on the current price action.
You might therefore leave a series of five bids of 100,000. As the price moves lower each one gets hit. The nice thing about scaling in is it reduces pressure on you to pick the perfect level. Of course the risk is that not all your orders get hit before the price moves higher and you have to trade at-market.
Pyramiding is the second technique. Pyramiding is for take profits what a trailing stop loss is to regular stops. It is especially common for momentum traders.

Pyramiding into a position means buying more as it goes in your favour
Again let’s imagine we’re bullish AUDUSD and want to take a position of 500,000 AUD.
Here we add 100,000 when our first signal is reached. Then we add subsequent clips of 100,000 when the trade moves in our favour. We are waiting for confirmation that the move is correct.
Obviously this is quite nice as we humans love trading when it goes in our direction. However, the drawback is obvious: we haven’t had the full amount of risk on from the start of the trend.
You can see the attractions and drawbacks of both approaches. It is best to experiment and choose techniques that work for your own personal psychology as these will be the easiest for you to stick with and build a disciplined process around.

Risk:reward and win ratios

Be extremely skeptical of people who claim to win on 80% of trades. Most traders will win on roughly 50% of trades and lose on 50% of trades. This is why risk management is so important!
Once you start keeping a trading journal you’ll be able to see how the win/loss ratio looks for you. Until then, assume you’re typical and that every other trade will lose money.
If that is the case then you need to be sure you make more on the wins than you lose on the losses. You can see the effect of this below.

A combination of win % and risk:reward ratio determine if you are profitable
A typical rule of thumb is that a ratio of 1:3 works well for most traders.
That is, if you are prepared to risk 100 pips on your stop you should be setting a take profit at a level that would return you 300 pips.
One needn’t be religious about these numbers - 11 pips and 28 pips would be perfectly fine - but they are a guideline.
Again - you should still use technical analysis to find meaningful chart levels for both the stop and take profit. Don’t just blindly take your stop distance and do 3x the pips on the other side as your take profit. Use the ratio to set approximate targets and then look for a relevant resistance or support level in that kind of region.

Risk-adjusted returns

Not all returns are equal. Suppose you are examining the track record of two traders. Now, both have produced a return of 14% over the year. Not bad!
The first trader, however, made hundreds of small bets throughout the year and his cumulative PNL looked like the left image below.
The second trader made just one bet — he sold CADJPY at the start of the year — and his PNL looked like the right image below with lots of large drawdowns and volatility.
Would you rather have the first trading record or the second?
If you were investing money and betting on who would do well next year which would you choose? Of course all sensible people would choose the first trader. Yet if you look only at returns one cannot distinguish between the two. Both are up 14% at that point in time. This is where the Sharpe ratio helps .
A high Sharpe ratio indicates that a portfolio has better risk-adjusted performance. One cannot sensibly compare returns without considering the risk taken to earn that return.
If I can earn 80% of the return of another investor at only 50% of the risk then a rational investor should simply leverage me at 2x and enjoy 160% of the return at the same level of risk.
This is very important in the context of Execution Advisor algorithms (EAs) that are popular in the retail community. You must evaluate historic performance by its risk-adjusted return — not just the nominal return. Incidentally look at the Sharpe ratio of ones that have been live for a year or more ...
Otherwise an EA developer could produce two EAs: the first simply buys at 1000:1 leverage on January 1st ; and the second sells in the same manner. At the end of the year, one of them will be discarded and the other will look incredible. Its risk-adjusted return, however, would be abysmal and the odds of repeated success are similarly poor.

Sharpe ratio

The Sharpe ratio works like this:
  • It takes the average returns of your strategy;
  • It deducts from these the risk-free rate of return i.e. the rate anyone could have got by investing in US government bonds with very little risk;
  • It then divides this total return by its own volatility - the more smooth the return the higher and better the Sharpe, the more volatile the lower and worse the Sharpe.
For example, say the return last year was 15% with a volatility of 10% and US bonds are trading at 2%. That gives (15-2)/10 or a Sharpe ratio of 1.3. As a rule of thumb a Sharpe ratio of above 0.5 would be considered decent for a discretionary retail trader. Above 1 is excellent.
You don’t really need to know how to calculate Sharpe ratios. Good trading software will do this for you. It will either be available in the system by default or you can add a plug-in.

VAR

VAR is another useful measure to help with drawdowns. It stands for Value at Risk. Normally people will use 99% VAR (conservative) or 95% VAR (aggressive). Let’s say you’re long EURUSD and using 95% VAR. The system will look at the historic movement of EURUSD. It might spit out a number of -1.2%.

A 5% VAR of -1.2% tells you you should expect to lose 1.2% on 5% of days, whilst 95% of days should be better than that
This means it is expected that on 5 days out of 100 (hence the 95%) the portfolio will lose 1.2% or more. This can help you manage your capital by taking appropriately sized positions. Typically you would look at VAR across your portfolio of trades rather than trade by trade.
Sharpe ratios and VAR don’t give you the whole picture, though. Legendary fund manager, Howard Marks of Oaktree, notes that, while tools like VAR and Sharpe ratios are helpful and absolutely necessary, the best investors will also overlay their own judgment.
Investors can calculate risk metrics like VaR and Sharpe ratios (we use them at Oaktree; they’re the best tools we have), but they shouldn’t put too much faith in them. The bottom line for me is that risk management should be the responsibility of every participant in the investment process, applying experience, judgment and knowledge of the underlying investments.Howard Marks of Oaktree Capital
What he’s saying is don’t misplace your common sense. Do use these tools as they are helpful. However, you cannot fully rely on them. Both assume a normal distribution of returns. Whereas in real life you get “black swans” - events that should supposedly happen only once every thousand years but which actually seem to happen fairly often.
These outlier events are often referred to as “tail risk”. Don’t make the mistake of saying “well, the model said…” - overlay what the model is telling you with your own common sense and good judgment.

Coming up in part III

Available here
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]

2 years of PTI with the economy

As PTI comes onto two years, I felt like making this post on account of seeing multiple people supporting PML-N for having an allegedly better economy for Pakistan, particularly with allegations present that PTI has done nothing for the economy. So here's a short list of some major achievements done by PTI in contrast to PML-N.
This is by no means a highly comprehensive list, just my opinion on some of the bigger achievements; saving the economy from defaulting, adopting tax reforms, tourism reforms, export reforms among them whilst managing covid and economic stability with relative success.
There are of course a multitude of other factors, successfully avoiding a blacklist from the FATF, macroeconomic reforms, attempts to strengthen the working class; ehsaas programs, Naya Pakistan housing schemes alongside other relief efforts. These are measures in accordance with curtailing the effect of increasing taxation and attempts to abate the economic slowdown that came as a result of forcing an increase in government revenue. Alongside the focus on multiple new hydroelectric dams, industrial cities, reduction of the PM office staff from 552 to 298, 10 billion tree project and an overall renewed interest in renewable energy and green Pakistan. The list is comprehensive.
Pakistan remains on a rocky path, it is not out of the woods yet. Covid-19 has seriously hampered the overall projections, and caused a worldwide economic contraction. Not only that, but there are criticisms that can be attributed to the government as well, as they are not without fault. However, the overall achievements of the government with regards to the economy do present hope for the long-term fiscal policy and development of Pakistan.
submitted by moron1ctendenc1es to pakistan [link] [comments]

Sharing stocks and forex trading materials

PM me if you would like to get these
Stocks, forex ebooks and forum pdf, indicators
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Anyone who are interested in the following trading videos [from successful traders], pls pm or drop me an email. [[email protected]](mailto:[email protected])
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submitted by fistno to FreeKarma4You [link] [comments]

I Automated & Backtested ParallaxFX Strategy

I am a Software Engineer / Data Scientist and I decided to give a go at automating a strategy based on the ParallaxFX strategy floating around and backtests the results, also due to some inspiration by Vanguer
 
I backtested on the majors 4H timeframe between January 2015 to January 2020.
 
I am only considering trades from the top and bottom bands for now.
 
My trading criteria is:
 
Upper Band
Indecision candle
Setup candle
 
Lower Band
Indecision candle
Setup candle
 
Entry: 38.2 Fib
Stop Loss: 100 Fib
Take Profit: -161.8 Fib
RRR: 3.23
 
If a candle meets my trade criteria I open the trade and forget about it.
 
I started with a balance of 500 EUR and a risk of 1%. The results use compound gain / loss and I only considered one currency pair at a time.
 
The results were not that impressive...
EUUSD
AUD/USD
GBP/USD
NZD/USD
USD/CAD
USD/CHF
 
Due to this being automated I can test a variety of parameters pretty quickly and come back with trading screenshots, results, etc.
 
I am considering a higher timeframe but the number of trades is already fairly low.
 
Here is a link to a Google Drive (https://drive.google.com/drive/folders/16cO0ZSCGakkbK90lh-FBIC3ZJIxOj9fI?usp=sharing) with screenshots from each trade and a log of the system as it makes the trades. The candles highlighted in yellow / purple are where the trade is entered. I do not have the picture marked as a win / lose but it should be obvious by the candle formation.
submitted by TribeFX to Forex [link] [comments]

Tech only Portfolios are too RISKY

I assume those of you on this sub are investing, not gambling. I also assume that y'all care about risk. If so, please read on.
I feel like several times a day I see a "portfolio" advice post for "portfolios" that is 100% tech. IMO, these portfolios will perform poorly and have extreme amounts of risk. In a loose sense, portfolios seek to balance many different equities to achieve an optimal risk/reward. This is done through diversification. If you're 100% tech (especially if it's only US tech) you have little to no diversification. If you want extreme risk, you're better off trading individual stock, options or even FOREX.
Why: There is a reasonable chance of a tech correction


Import case study (thanks investing)
Will all this actually happen?: Maybe, maybe not. I just wanted to show y'all that it's not unreasonable. Hence you must diversify to minimize downside risk.
What to do :
Even the pros love tech, but they're not 100% tech: https://wallethub.com/edu/hedge-fund-stocks/38113/
I'm long tech, buy it frequently and it makes up ~15-20% of my portfolio.
Edit: Nice example, I looked at what happened right before the last tech crash:
https://www.portfoliovisualizer.com/backtest-portfolio?s=y&timePeriod=2&startYear=2000&firstMonth=8&endYear=2020&lastMonth=12&calendarAligned=true&includeYTD=false&initialAmount=10000&annualOperation=0&annualAdjustment=0&inflationAdjusted=true&annualPercentage=0.0&frequency=4&rebalanceType=1&absoluteDeviation=5.0&relativeDeviation=25.0&showYield=false&reinvestDividends=true&portfolioNames=true&portfolioName1=Tech+Mutual+Fund&portfolioName2=SP+500&portfolioName3=Mix&symbol1=FSPTX&allocation1_1=100&allocation1_3=50&symbol2=SPY&allocation2_2=100&allocation2_3=50

submitted by z109620 to ETFs [link] [comments]

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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]

Chance a depressed gap year boy

Note: The mention of O levels and A levels throughout the post refers to the British patterned system of education. O levels is equivalent to the 9th and 10th grade and Alevels is equivalent to the 11th and 12th grade in the American High School System
Hi, I am a Pakistani guy currently on a gap year after doing A levels from one of the most prestigious schools in the country on a 100% scholarship. I did my O levels from a very less renowned school because of my financial condition but my grades allowed me admission into my A levels school. That is why most of my ECAS were done in the last 2 years. I am looking to apply to the following international universities with full scholarship/financial aid:
Majors Intended: Computer Science / Data Science / Artificial Intelligence
Universities: NYUAD (ED), Duke, Rice, Vanderbilt, Northwestern, Case Western Reserve University, Washington and Lee, Colby, Skidmore, CMU Qatar, Georgetown Qatar, NTU, HKUST, HKU, CityU
Academics
Test Scores
Extra-Curriculars / Awards
submitted by Faizan-Raza to chanceme [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]

APIs offered by brokers and data platforms

I’ve been looking for a broker that has an API for index futures and ideally also futures options. I’m looking to use the API to build a customized view of my risk based on balances, positions, and market conditions.
Searching the algotrading sub I found many API-related posts, but then when I actually read them and their comments, I found they’re often lacking in real substance. It turns out many brokers or data services that have APIs don’t actually support index futures and options via the API, and instead they focus on equities, forex, or cypto. So here’s the list of what I’ve found so far. This isn’t a review of these brokers or APIs and note that I have a specific application in mind (index futures and futures options). Perhaps you’re looking for an API for equities, or you just want data and not a broker, in which case there may be a few options. Also, I’m based in the US so I didn’t really look for brokers or platforms outside the US.
If you have experience with these APIs, please chime in with your thoughts. Also, I may have missed some brokers or platforms. If I did or if you see anything that needs correction please let me know.

Platform Notes
ADM Investor Services No API
Ally Invest Does not support futures instruments
Alpaca Only supports US Equities
Alpha Vantage Does not support futures instruments
AMP Broker with a huge number of platforms available including some with APIs
ApexFutures No API
Arcade Trader No API
AvaTrade Does not support futures instruments
Backtrader Not a data feed; otherwise looks cool but also looks like a one-man shop
Cannon Trading Broker with a variety of platforms, some have API access such as TT
Centerpoint No API
Charles Schwab API does not support futures instruments
Cobra No API
Daniels Trading No API
Discount Trading Broker with a variety of platforms including CQG, Rithmic, TT, some with APIs
Edge Clear Broker with a variety of platforms including CQG, Rithmic, TT, some with APIs
Eroom Now part of Dashprime. Offer a variety of APIs including CQG, TT, CBOE's Silexx, and others via FIX.
ETNA Trader Only supports equities, options (including multi-legs), ETFs, Mutual Funds (Forex with cryptocurrencies coming soon)
ETrade API seems robust but OAuth authorization needs to be refreshed via login once per 24 hours
Futures Online No API
Gain Capital Futures API available, based on .NET; unsure if they are open to retail clients
GFF Brokers Broker with a large number of platforms including some with API access
High Ridge Futures Broker with a variety of platforms including CQG, Rithmic, TT, some with APIs
iBroker API available; contact them for more info
IEX Cloud Looks great but does not support futures instruments
Infinity Futures JSON API available; contact them for more info
Interactive Brokers Client Web API looks promising if clunky
Intrinio Supports futures instruments but is expensive
Koyfin No API
Lightspeed C++ API available
marketstack API for equities available. Does not support futures instruments.
Medved Trader Windows app with a streaming API to various data sources and brokers. See comment below about API beta access.
NinjaTrader Does not support futures options
Norgate Data Not a broker; supports futures data for $270/year
Oanda Forex only; API last updated in 2018
Optimus Futures Broker with a large number of available platforms including some with API access
Phillip Capital Broker with a large number of available platforms including some with API access
polygon.io Expensive but looks slick; does not support futures instruments
Quandl API looks solid; $49/monthly for personal use, does not allow distributing or sharing data; not a broker
Quantconnect Does not expose raw data
Quantopian Does not expose raw data
Quantower Software that connects to multiple brokers and data feeds; API to their software via C# interface
Saxo Markets Broker with extensively documented API
Stage 5 Trading API available through Trading Technologies
Straits Financial Broker with several platforms available including some with APIs such as CQG, R
Sweet Futures Broker with a large number of available platforms including some with API access
TastyWorks There's an unofficial Python API
TenQuant.io Does not support futures instruments
ThinkorSwim Does not support futures instruments via the API
Tiingo Free account tier but does not support futures instruments
TradePro Broker with a number of platforms available; unclear if any are available with API access
Tradier Free developer API account for delayed data but does not support futures instruments
TradeStation Nice looking API docs and supports futures instruments; requires opening an account and a minimum balance of $100k and there’s no trial available
TradeFutures4Less Broker with a variety of platforms including CQG, Rithmic, TT, some with APIs
TradingTechnologies API looks robust; pricing starts at $700/month
TradingView Does not expose data API
Tradovate Technologies API exists, documentation unknown; need to talk to their account team
Wedbush Futures Broker with several platforms offered, a few of which have API access
WEX .NET/COM only; pricing not disclosed on website
Xignite Pricing not disclosed on website but they do support futures instruments
Yahoo Finance API Available through RapidAPI or via direct access; but it’s discontinued and unreliable
Zaner Broker with a variety of platforms including CQG, Rithmic, TT, some with APIs

Wow, this list grew longer than I originally thought it would be. If you spot a mistake, please let me know and I’ll correct it.
Edit:
- added Lightspeed API - updated Dashprime to indicate some of the APIs available - added Medved Trader to table - added marketstack to table
submitted by theloniusmunch to thewallstreet [link] [comments]

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