How to trade forex for beginners and get a real profit ...

#TraderWivesNatter

Short? Long? Who gives a fuck as long you're maxed out! "Gain as if you'll live forever. Trade as if you'll die today. ...Then, go fuck yourself."
[link]

[FOREX Real Money Balance Update] After depositing $496 into my Forex Account at the beginning of this month, today I officially doubled my account balance and crossed over $1k due to $443 in Net Profits this month. I still have 1 more trade idea tomorrow, but I'm proud of my accomplishments so far!

[FOREX Real Money Balance Update] After depositing $496 into my Forex Account at the beginning of this month, today I officially doubled my account balance and crossed over $1k due to $443 in Net Profits this month. I still have 1 more trade idea tomorrow, but I'm proud of my accomplishments so far! submitted by Rebel-Wit-A-Bezel to u/Rebel-Wit-A-Bezel [link] [comments]

01-19 16:14 - 'Hi, I have one question about gti net. It's look like ponzi scheme. how you are sure that this forex trading is real? / Do you have some legal agreement with the company? Because I can't find detailed information about them.' by /u/dessymd removed from /r/belgium within 0-10min

'''
Hi, I have one question about gti net. It's look like ponzi scheme. how you are sure that this forex trading is real?
Do you have some legal agreement with the company? Because I can't find detailed information about them.
'''
Context Link
Go1dfish undelete link
unreddit undelete link
Author: dessymd
submitted by removalbot to removalbot [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]

That Time I Gained 337.59% In One Week - Storytime

Just a quick story on my biggest gain in one week, which I'll more than likely never do again because my risk tolerance is not as high anymore.
But before: I highly discourage anyone especially the newbies on here to risk as much or trade in the following manner.
It was late May and I was popping off from paper trading, I must've hit 20+ take profits with no losses. I was growing a demo that I started with $70 two weeks prior and I was already at like $623 lmao, in only two weeks??? So of course I thought I was a god.
I saw some better trades coming up and decided it was time to get back in the market with some real money. I had $75 from freelancing, I got $60 as a covid grant from the government and my mom gave me another $60 to trade in the casino (Forex Market). So it was time.
I got into trades Sunday night (May 31) as soon as the market opened and they were already doing well the next morning. Here's a screenshot I sent showing off my gross trading prowess and the positions I had opened: https://imgur.com/a/GFrcLEu
I stayed diligent and took my setups just as I would in demo, and fast forward: https://imgur.com/a/5JwIDl3
I got way too overwhelmed and closed some shortly after, and ended the week with no losses, 1155.5 pips, 9 trades completed and net $651.41. I thought I was the best trader ever but luckily I withdrew half of it and took my steady, inevitable losses after :)
Here's all the trades I had made (I didn't know about myfxbook but I had recorded all my trades in a nice little excel sheet to help me with risk and I still do - I'm currently making it into a nice little software): https://imgur.com/a/RNtt5wz
The statistics from excel: https://imgur.com/a/8gQlFBU
Strategies: Breakouts, Swings (S/R) and Trends.
Risk Tolerance: I was literally risking about 25% of my account on trades and whenever the trade took off, I considered it 0% risk so I could re-enter more so I didn't have to wait until close.
Why I probably will never gain this much in a week again:
  1. Risking 25% on a trade is downright awful unless your account is super small.
  2. Deeming a trade 0% risk is never true unless you have your sl in profit (most times I didn't).
  3. I'm okay with not gaining quickly, now I'm just about protecting my capital.
What I learnt:
I did take some good trades so there's not much I could've learnt, the weeks after though did teach me:
  1. Not to risk that much on trades
  2. Go for slow and steady gains
  3. Stay out of the market as much as possible.
TLDR: I went from $193.48 - $846.64 in one week by taking big dick risks and then lost half of it later, lol.
submitted by proskaterlegend 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]

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]

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

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

Strategy:SPX Meium - High Risk Copy Trading - Intraday.

Strategy Results - http://www.myfxbook.com/members/DeanBlack/client-copy-medhigh/7422920
All results are tracked on real client accounts to show the net results after fees. The brokers with the highest spreads are use, to give a reflection of the worst expected results.

Who is This Strategy For?
This strategy is for you if you have a higher risk tolerance and are looking for an investmen tment with higher liquidity. This is an intraday strategy that will close all trades by the end of the US trading session making all equity available to investors at the end of each trading day.
Brokerage Requirements: This strategy trades CFDs and is not suitable for US / Canada residents. Brokers offering CFDs on indices (Specifically the S&P500) is a requirement.

Tested Brokers: The strategy is confirmed to work on the following brokers;
: IC Markets (Best results). RoboForex
Minimum Investment: $650 minimum is optimal for these risk settings. Anything under $500 will be higher risk. Anything under $400 failed all tests on this and is strongly discouraged.
Leverage Required: This strategy requires 1:50 leverage (With a minimum $650 investment).
Average Duration of trades: Trades will be held usually 2 - 12 hours and close on the same day they are opened.
The strategy will risk a maximum of 5% over all positions at any one time. If the strategy has been losing the maximum risk per position will be decreased. If over 30% drawdown the maximum risk will be 2.5%. If over 40% drawdown the maximum risk will be 1.5%.
Note, this refers to the parent strategy. Not individual copiers. If you connect a new account while the strategy is 10% down you will start on reduced risk although your account is not down. This measure is in place to protect the accounts of all investors and make the strategy stable to support long term compounding of gains.
Maximum Loss: This strategy will stop trading if a loss of 65% (From high water mark) is hit. It will stop trading for at least three days to give the investors time to decide if they want to continue and the trading team time to check if adjustments to the strategy;s copier settings need to be made.
Automatic Stop on Loss: This strategy has an automated stop loss on trading at 65%. At 35% the copying software will shut down, all trades will be closed and no new trades opened for a period of at least 3 days.

Strategy Results -http://www.myfxbook.com/members/DeanBlack/client-copy-medhigh/7422920
All results are tracked on real client accounts to show the net results after fees. The brokers with the highest spreads are use, to give a reflection of the worst expected results.
submitted by 2020sbear to u/2020sbear [link] [comments]

The million dollar question – Why Consider Options Trading

With so many alternative ways of investing in markets, these days, working out which is right for you, can be more challenging than ever. While some areas, such as CFD’s have become fashionable, as we all know, fashion lasts just a season at best! Options, however, are now approaching their 40th Anniversary on the Australian Stock Market – they aren’t fashion, they are style, and real style never dates!

What are some of the key benefits of trading options?

More than any single investment vehicle, options provide flexibility. By that, I mean you can have the potential to profit from a whole range of market conditions – Up, Down, Sideways, Extremely Volatile, not volatile and frankly, no other investment vehicle can offer this kind of opportunity, period!
Options can be used to manage risk, or to protect and hedge, or to generate income, or to exploit market moves for leveraged capital gain, or to profit from no move in the market – again – no other investment vehicle is able to offer this!!
Perhaps most importantly, for many, they bring leverage to the table in what is a potentially far safer way than other instruments. Specifically, with instruments such as Forex, Margin Lending, CFDs or Futures, it is possible to lose more money than you put down. In other words you become the victim of a margin call. With a bought option this is simply not possible – you cannot lose more than you put in.

What about security?

Options are what is known as an Exchange Traded Instrument or ETO for short. This means that all trades are cleared out through a regulated exchange, be that the ASX in Australia, or in the US, the Nasdaq for example. By trading through an exchange there is an enormous safety net. That safety net is zero counterparty risk.
Because all trades are cleared through an exchange, a process called Novation means that if the other person or broking firm on the other side of the transaction is unable to settle, fails financial or has no money, your position is guaranteed by the Exchange themselves, who stand behind the trade. While you may not necessarily appreciate the significance of this, it is huge!
By contrast, trading on CFDs or Forex are Over The Counter or OTC products where, as an investor, you are not protected by the Exchange, to effectively guarantee the other side of the trade. In short, if the counterparty fails, you lose your money…
Trust me, in today’s market this is critically important and hence why we love Options.

Are there risks with Options trading?

Yes there are but in the majority of cases, these risks can be mitigated. Specifically there are strategies that are lower risk, and others that are higher.
As a result, learning which strategies best fit for you and your circumstances, is an important and often missed step.
For example, “Naked” or “Sold only” positions in the options market can be extremely risky, hence we encourage our clients to avoid these like the plague! That is of course, until they have built up a good level of expertise. Instead, we far prefer lower risk strategies that have the ability to more consistently offer a steady return.
submitted by andrew_baxter to u/andrew_baxter [link] [comments]

H1 Backtest of ParallaxFX's BBStoch system

Disclaimer: None of this is financial advice. I have no idea what I'm doing. Please do your own research or you will certainly lose money. I'm not a statistician, data scientist, well-seasoned trader, or anything else that would qualify me to make statements such as the below with any weight behind them. Take them for the incoherent ramblings that they are.
TL;DR at the bottom for those not interested in the details.
This is a bit of a novel, sorry about that. It was mostly for getting my own thoughts organized, but if even one person reads the whole thing I will feel incredibly accomplished.

Background

For those of you not familiar, please see the various threads on this trading system here. I can't take credit for this system, all glory goes to ParallaxFX!
I wanted to see how effective this system was at H1 for a couple of reasons: 1) My current broker is TD Ameritrade - their Forex minimum is a mini lot, and I don't feel comfortable enough yet with the risk to trade mini lots on the higher timeframes(i.e. wider pip swings) that ParallaxFX's system uses, so I wanted to see if I could scale it down. 2) I'm fairly impatient, so I don't like to wait days and days with my capital tied up just to see if a trade is going to win or lose.
This does mean it requires more active attention since you are checking for setups once an hour instead of once a day or every 4-6 hours, but the upside is that you trade more often this way so you end up winning or losing faster and moving onto the next trade. Spread does eat more of the trade this way, but I'll cover this in my data below - it ends up not being a problem.
I looked at data from 6/11 to 7/3 on all pairs with a reasonable spread(pairs listed at bottom above the TL;DR). So this represents about 3-4 weeks' worth of trading. I used mark(mid) price charts. Spreadsheet link is below for anyone that's interested.

System Details

I'm pretty much using ParallaxFX's system textbook, but since there are a few options in his writeups, I'll include all the discretionary points here:

And now for the fun. Results!

As you can see, a higher target ended up with higher profit despite a much lower winrate. This is partially just how things work out with profit targets in general, but there's an additional point to consider in our case: the spread. Since we are trading on a lower timeframe, there is less overall price movement and thus the spread takes up a much larger percentage of the trade than it would if you were trading H4, Daily or Weekly charts. You can see exactly how much it accounts for each trade in my spreadsheet if you're interested. TDA does not have the best spreads, so you could probably improve these results with another broker.
EDIT: I grabbed typical spreads from other brokers, and turns out while TDA is pretty competitive on majors, their minors/crosses are awful! IG beats them by 20-40% and Oanda beats them 30-60%! Using IG spreads for calculations increased profits considerably (another 5% on top) and Oanda spreads increased profits massively (another 15%!). Definitely going to be considering another broker than TDA for this strategy. Plus that'll allow me to trade micro-lots, so I can be more granular(and thus accurate) with my position sizing and compounding.

A Note on Spread

As you can see in the data, there were scenarios where the spread was 80% of the overall size of the trade(the size of the confirmation candle that you draw your fibonacci retracements over), which would obviously cut heavily into your profits.
Removing any trades where the spread is more than 50% of the trade width improved profits slightly without removing many trades, but this is almost certainly just coincidence on a small sample size. Going below 40% and even down to 30% starts to cut out a lot of trades for the less-common pairs, but doesn't actually change overall profits at all(~1% either way).
However, digging all the way down to 25% starts to really make some movement. Profit at the -161.8% TP level jumps up to 37.94% if you filter out anything with a spread that is more than 25% of the trade width! And this even keeps the sample size fairly large at 187 total trades.
You can get your profits all the way up to 48.43% at the -161.8% TP level if you filter all the way down to only trades where spread is less than 15% of the trade width, however your sample size gets much smaller at that point(108 trades) so I'm not sure I would trust that as being accurate in the long term.
Overall based on this data, I'm going to only take trades where the spread is less than 25% of the trade width. This may bias my trades more towards the majors, which would mean a lot more correlated trades as well(more on correlation below), but I think it is a reasonable precaution regardless.

Time of Day

Time of day had an interesting effect on trades. In a totally predictable fashion, a vast majority of setups occurred during the London and New York sessions: 5am-12pm Eastern. However, there was one outlier where there were many setups on the 11PM bar - and the winrate was about the same as the big hours in the London session. No idea why this hour in particular - anyone have any insight? That's smack in the middle of the Tokyo/Sydney overlap, not at the open or close of either.
On many of the hour slices I have a feeling I'm just dealing with small number statistics here since I didn't have a lot of data when breaking it down by individual hours. But here it is anyway - for all TP levels, these three things showed up(all in Eastern time):
I don't have any reason to think these timeframes would maintain this behavior over the long term. They're almost certainly meaningless. EDIT: When you de-dup highly correlated trades, the number of trades in these timeframes really drops, so from this data there is no reason to think these timeframes would be any different than any others in terms of winrate.
That being said, these time frames work out for me pretty well because I typically sleep 12am-7am Eastern time. So I automatically avoid the 5am-6am timeframe, and I'm awake for the majority of this system's setups.

Moving stops up to breakeven

This section goes against everything I know and have ever heard about trade management. Please someone find something wrong with my data. I'd love for someone to check my formulas, but I realize that's a pretty insane time commitment to ask of a bunch of strangers.
Anyways. What I found was that for these trades moving stops up...basically at all...actually reduced the overall profitability.
One of the data points I collected while charting was where the price retraced back to after hitting a certain milestone. i.e. once the price hit the -61.8% profit level, how far back did it retrace before hitting the -100% profit level(if at all)? And same goes for the -100% profit level - how far back did it retrace before hitting the -161.8% profit level(if at all)?
Well, some complex excel formulas later and here's what the results appear to be. Emphasis on appears because I honestly don't believe it. I must have done something wrong here, but I've gone over it a hundred times and I can't find anything out of place.
Now, you might think exactly what I did when looking at these numbers: oof, the spread killed us there right? Because even when you move your SL to 0%, you still end up paying the spread, so it's not truly "breakeven". And because we are trading on a lower timeframe, the spread can be pretty hefty right?
Well even when I manually modified the data so that the spread wasn't subtracted(i.e. "Breakeven" was truly +/- 0), things don't look a whole lot better, and still way worse than the passive trade management method of leaving your stops in place and letting it run. And that isn't even a realistic scenario because to adjust out the spread you'd have to move your stoploss inside the candle edge by at least the spread amount, meaning it would almost certainly be triggered more often than in the data I collected(which was purely based on the fib levels and mark price). Regardless, here are the numbers for that scenario:
From a literal standpoint, what I see behind this behavior is that 44 of the 69 breakeven trades(65%!) ended up being profitable to -100% after retracing deeply(but not to the original SL level), which greatly helped offset the purely losing trades better than the partial profit taken at -61.8%. And 36 went all the way back to -161.8% after a deep retracement without hitting the original SL. Anyone have any insight into this? Is this a problem with just not enough data? It seems like enough trades that a pattern should emerge, but again I'm no expert.
I also briefly looked at moving stops to other lower levels (78.6%, 61.8%, 50%, 38.2%, 23.6%), but that didn't improve things any. No hard data to share as I only took a quick look - and I still might have done something wrong overall.
The data is there to infer other strategies if anyone would like to dig in deep(more explanation on the spreadsheet below). I didn't do other combinations because the formulas got pretty complicated and I had already answered all the questions I was looking to answer.

2-Candle vs Confirmation Candle Stops

Another interesting point is that the original system has the SL level(for stop entries) just at the outer edge of the 2-candle pattern that makes up the system. Out of pure laziness, I set up my stops just based on the confirmation candle. And as it turns out, that is much a much better way to go about it.
Of the 60 purely losing trades, only 9 of them(15%) would go on to be winners with stops on the 2-candle formation. Certainly not enough to justify the extra loss and/or reduced profits you are exposing yourself to in every single other trade by setting a wider SL.
Oddly, in every single scenario where the wider stop did save the trade, it ended up going all the way to the -161.8% profit level. Still, not nearly worth it.

Correlated Trades

As I've said many times now, I'm really not qualified to be doing an analysis like this. This section in particular.
Looking at shared currency among the pairs traded, 74 of the trades are correlated. Quite a large group, but it makes sense considering the sort of moves we're looking for with this system.
This means you are opening yourself up to more risk if you were to trade on every signal since you are technically trading with the same underlying sentiment on each different pair. For example, GBP/USD and AUD/USD moving together almost certainly means it's due to USD moving both pairs, rather than GBP and AUD both moving the same size and direction coincidentally at the same time. So if you were to trade both signals, you would very likely win or lose both trades - meaning you are actually risking double what you'd normally risk(unless you halve both positions which can be a good option, and is discussed in ParallaxFX's posts and in various other places that go over pair correlation. I won't go into detail about those strategies here).
Interestingly though, 17 of those apparently correlated trades ended up with different wins/losses.
Also, looking only at trades that were correlated, winrate is 83%/70%/55% (for the three TP levels).
Does this give some indication that the same signal on multiple pairs means the signal is stronger? That there's some strong underlying sentiment driving it? Or is it just a matter of too small a sample size? The winrate isn't really much higher than the overall winrates, so that makes me doubt it is statistically significant.
One more funny tidbit: EUCAD netted the lowest overall winrate: 30% to even the -61.8% TP level on 10 trades. Seems like that is just a coincidence and not enough data, but dang that's a sucky losing streak.
EDIT: WOW I spent some time removing correlated trades manually and it changed the results quite a bit. Some thoughts on this below the results. These numbers also include the other "What I will trade" filters. I added a new worksheet to my data to show what I ended up picking.
To do this, I removed correlated trades - typically by choosing those whose spread had a lower % of the trade width since that's objective and something I can see ahead of time. Obviously I'd like to only keep the winning trades, but I won't know that during the trade. This did reduce the overall sample size down to a level that I wouldn't otherwise consider to be big enough, but since the results are generally consistent with the overall dataset, I'm not going to worry about it too much.
I may also use more discretionary methods(support/resistance, quality of indecision/confirmation candles, news/sentiment for the pairs involved, etc) to filter out correlated trades in the future. But as I've said before I'm going for a pretty mechanical system.
This brought the 3 TP levels and even the breakeven strategies much closer together in overall profit. It muted the profit from the high R:R strategies and boosted the profit from the low R:R strategies. This tells me pair correlation was skewing my data quite a bit, so I'm glad I dug in a little deeper. Fortunately my original conclusion to use the -161.8 TP level with static stops is still the winner by a good bit, so it doesn't end up changing my actions.
There were a few times where MANY (6-8) correlated pairs all came up at the same time, so it'd be a crapshoot to an extent. And the data showed this - often then won/lost together, but sometimes they did not. As an arbitrary rule, the more correlations, the more trades I did end up taking(and thus risking). For example if there were 3-5 correlations, I might take the 2 "best" trades given my criteria above. 5+ setups and I might take the best 3 trades, even if the pairs are somewhat correlated.
I have no true data to back this up, but to illustrate using one example: if AUD/JPY, AUD/USD, CAD/JPY, USD/CAD all set up at the same time (as they did, along with a few other pairs on 6/19/20 9:00 AM), can you really say that those are all the same underlying movement? There are correlations between the different correlations, and trying to filter for that seems rough. Although maybe this is a known thing, I'm still pretty green to Forex - someone please enlighten me if so! I might have to look into this more statistically, but it would be pretty complex to analyze quantitatively, so for now I'm going with my gut and just taking a few of the "best" trades out of the handful.
Overall, I'm really glad I went further on this. The boosting of the B/E strategies makes me trust my calculations on those more since they aren't so far from the passive management like they were with the raw data, and that really had me wondering what I did wrong.

What I will trade

Putting all this together, I am going to attempt to trade the following(demo for a bit to make sure I have the hang of it, then for keeps):
Looking at the data for these rules, test results are:
I'll be sure to let everyone know how it goes!

Other Technical Details

Raw Data

Here's the spreadsheet for anyone that'd like it. (EDIT: Updated some of the setups from the last few days that have fully played out now. I also noticed a few typos, but nothing major that would change the overall outcomes. Regardless, I am currently reviewing every trade to ensure they are accurate.UPDATE: Finally all done. Very few corrections, no change to results.)
I have some explanatory notes below to help everyone else understand the spiraled labyrinth of a mind that put the spreadsheet together.

Insanely detailed spreadsheet notes

For you real nerds out there. Here's an explanation of what each column means:

Pairs

  1. AUD/CAD
  2. AUD/CHF
  3. AUD/JPY
  4. AUD/NZD
  5. AUD/USD
  6. CAD/CHF
  7. CAD/JPY
  8. CHF/JPY
  9. EUAUD
  10. EUCAD
  11. EUCHF
  12. EUGBP
  13. EUJPY
  14. EUNZD
  15. EUUSD
  16. GBP/AUD
  17. GBP/CAD
  18. GBP/CHF
  19. GBP/JPY
  20. GBP/NZD
  21. GBP/USD
  22. NZD/CAD
  23. NZD/CHF
  24. NZD/JPY
  25. NZD/USD
  26. USD/CAD
  27. USD/CHF
  28. USD/JPY

TL;DR

Based on the reasonable rules I discovered in this backtest:

Demo Trading Results

Since this post, I started demo trading this system assuming a 5k capital base and risking ~1% per trade. I've added the details to my spreadsheet for anyone interested. The results are pretty similar to the backtest when you consider real-life conditions/timing are a bit different. I missed some trades due to life(work, out of the house, etc), so that brought my total # of trades and thus overall profit down, but the winrate is nearly identical. I also closed a few trades early due to various reasons(not liking the price action, seeing support/resistance emerge, etc).
A quick note is that TD's paper trade system fills at the mid price for both stop and limit orders, so I had to subtract the spread from the raw trade values to get the true profit/loss amount for each trade.
I'm heading out of town next week, then after that it'll be time to take this sucker live!

Live Trading Results

I started live-trading this system on 8/10, and almost immediately had a string of losses much longer than either my backtest or demo period. Murphy's law huh? Anyways, that has me spooked so I'm doing a longer backtest before I start risking more real money. It's going to take me a little while due to the volume of trades, but I'll likely make a new post once I feel comfortable with that and start live trading again.
submitted by ForexBorex to Forex [link] [comments]

How To Start Trading Forex Reddit

How To Start Trading Forex Reddit

How to trade Forex and be profitable

Hello and thank you for being here again!
In this article I want to show you how I structure my operations by trading in the currency market. If it can give you ideas or help you in your process, the objective of this post will be more than fulfilled. I will try to be as clear and direct as possible. I'll go point by point:
Index
  • 1. How to trade
  • 2. Intraday or swing trading in Forex?
  • 3. Automatic or Manual Forex Trading
  • 4. Is analysis the key to Forex trading?
  • 5. Learn to create robust trading strategies
  • 6. Best Forex Trading Strategies
    • 6.1. Trading strategies with very simple entry and exit criteria
    • 6.2. Systems with a not very high number of operations or trades
    • 6.3. Strategies with a controlled return/risk
  • 7. Establish connection and disconnection rules for your systems
  • 8. Diversify in Forex
  • 9. What currencies to trade on Forex
  • 10. Why invest (only) in Forex
  • 11. Steps to trade
  • 12. How to start as a professional trader (without knowing how to program)
>>>Start trading with Plus500: open a free account

1. How to trade the Forex Market

Focusing on the basics and keeping it simple. Let me explain, you don't have to rely on hyper-complex strategies, use the software that PETA it and put it on the server next to your broker ... you don't have to be the best programmer, much less get dirty on the graphics of your platform to win money in Forex.
You need systems. The systems work. Results-oriented companies and work methods are systems-based. You should start applying and creating systems because they will allow you:
  • Know what you can expect (return and risk) in results.
  • Measure what you do .
  • Know when what you are applying is stopping working.
Yes, that sitting in front of the computer, looking and saying "I think EUR / USD is going to rise" is the most common thing, but the normal thing here is to lose money. You need winning strategies to start the fight.

2. Intraday or swing trading in Forex?

This question is an interesting question and I make a small indent if you are just starting out. Swing trading are operations that usually last several days and when we talk about intraday or day trading we refer to operations that are closed on the same day.
Well, which one then? Like everything in life, it depends (we are). You have to learn that there is no “best for all”. In my case I combine both operations because I dedicate myself full time to this, but if you are just starting out or are one of the people who get stressed out with trading, I recommend that you focus on swing trading.
As you consolidate here you can start to scale and seek to diversify by doing intraday. But again, this is just something that I recommend based on my own experience and from people I have known over the years.

3. Automatic or Manual Forex Trading

Not all automated Forex trading systems are a panacea, nor are all discretionary or manual systems bad. Stop looking at it like that, we're only talking about execution. This is precisely why I am opting for automated execution. We could talk at length about this and if you find it interesting I can dedicate an article just to it. But think that automation is just how strategy is carried out. Whether this is a winner or a loser is the basis of everything.
Automating a losing strategy does not make it a winner, it is only about applying strategies that are profitable and ensuring that they are executed in the best way (in manual we always cheat alone).

4. Is analysis the key to Forex trading?

Many people think that technical analysis is the key to beating the market and defend it to the last consequences. The same happens with those who think that the only way to make money in the foreign exchange market is through fundamental analysis.
So what really works? What really works and you can check. What good is it if you tell me that this or the other is the best method if you haven't even sat down to draw numbers. Many times it is not with what, but how. That is, they can be different valid methods if they are done well. But for this you need statistics of what you are doing.
>>>Recommended Forex Broker: Plus500 - Visit official website<<<

5. Learn to create robust trading strategies

Let's first see what a robust trading strategy is all about. As traders, we know what has happened in the past, but we don't know what will happen in the market tomorrow. That is why we need systems that are well adapted to changing market circumstances.
How can we know systems adapt well to alterations in the spread, prices ...? Simulating those alterations, something like simulating those conditions and seeing how they behave. There are different tests for this such as: Walk Forward test, Montecarlo, and Multimarket.
These tests give us an idea of ​​how robust our created trading system is and give us a reference. Be careful, I said reference, not absolute truth. Then we will test them, our goal is to leave as little space as possible to chance.

6. Best Forex Trading Strategies

You may be wondering how you are going to manage to create profitable strategies and start with all this. Calm down, there are tools for this, but the important thing here is that you know that the strategies that tend to be more stable over time and give better results are:

6.1. Trading strategies with very simple entry and exit criteria

The opposite of what you may have been told. The simpler our Forex trading systems are, the more likely they will continue to work overtime. I have seen this myself and I know it first hand.
Also, which is more likely to stop working, a system based on six indicators or a system based on one or two? That six indicators continue to give results for years and years is not easy. Instead, only one or two are more so. Still, trading systems should always be supervised.

6.2. Systems with a not very high number of operations or trades

Sometimes when we become obsessed with being in the market constantly making gazillions of trades, we are giving our broker money and taking it out of our pocket. More is not better in trading, better is better. This is about getting the most money with the least risk, not giving it to your broker.

6.3. Strategies with a controlled return/risk

You see a strategy, you look at its profit in the last months and years and you are already thinking about connecting it. Error, always look at the return associated with the drawdown. The drawdown of your system is, in short, the maximum consecutive drop it has had. Because it is important? Because if that fall has occurred in the past, it can happen again (and bigger, believe me). Now you may be thinking, what if this happens to me?
Next, I will explain it to you, but first an example of a system that meets all these characteristics (so you can see that it is simpler than it seems:
https://preview.redd.it/cozy880jl9v51.jpg?width=1024&format=pjpg&auto=webp&s=8e14a68538372be8e7ae109d86cd7d132d60fa07
Here more statistics:
https://preview.redd.it/hh5m7saml9v51.jpg?width=997&format=pjpg&auto=webp&s=f1597e3b05350d6fca1ea68ef18004f4340e6a1a

7. Establish connection and disconnection rules for your systems

All methods of trading sound great. The problem is when they start to lose. Some tell you that you have to continue, that the system is the system… But what if the system is stopping working? After all, we live in a changing world and our money is not infinite.
The reality is that many people do not know how to determine when the system is failing or when this happens because they are applying it incorrectly. If you execute the strategies in an automated way you are already saving this, then what you need is a rule to deactivate your strategies at a certain point. To do this, it is enough to monitor them with platforms such as Bluefox or Myfxbook to know what the performance of each is.

8. Diversify in Forex

If we deactivate a Rubén strategy, we stop trading. Not if you activate another that has been doing it well. It is not about you running a Forex trading system or two, it is about having different systems: the best in real and a demo base created that you can include in your real account when you deactivate one because their performance has dropped.
You can diversify by you I frame (temporality time) on assets (currencies) or types of systems (trend, mean reversion ...).
The objective of diversifying is to seek a more stable return, many people do for this is to introduce many systems without more, if you do this you will achieve the opposite, you will be increasing the risk.

9. What currencies to trade on Forex

I recommend that you focus on the majors or major currency pairs, especially if your broker has a high spread, as it is usually lower on these. One of the advantages of automating is that you can scale your trading and do it in different currencies, diversifying as I said before. These are the assets that I have traded in recent months:
https://preview.redd.it/4myzmwlxl9v51.png?width=800&format=png&auto=webp&s=7635d085d2b434e3d3da0420937c245b6cd21339
It starts with being profitable with a few (one or three assets) and as you evolve you can grow your portfolio.

10. Why invest (only) in Forex

I will not be the one to tell you that you should invest in Forex and not in another market. Each one belongs to his father and mother and has its good and not so good things. Of course, one thing is clear, wherever you do it, remember the power of specialization. There are traders who focus on one or two assets and they are profitable. In the end, that's what it's all about, isn't it?
This operation can be extrapolated to different assets such as raw materials, indices and cryptocurrencies. Yes, cryptocurrencies too. In fact, my operations are mainly based on currencies and cryptocurrencies (85% in the first group and 15% in the second). But I have to say that cryptocurrency trading has given me a pleasant surprise this year.
Again, if you are starting, do not do it with many assets or you will saturate yourself. Start step by step and diversify as you evolve. Jack of all trades, master of none.

11. Steps to trade Forex Reddit

If you've gotten this far, it may not be entirely clear to you how the hell I trade, then I'm going to summarize it in steps:
  1. I create statistically profitable trading strategies and verify through tests that they are robust.
  2. I put them on a demo account to make sure they work perfectly.
  3. Once they meet the requirements that I demand of them, I pass them to real.
  4. In real account, I manage my systems connecting and disconnecting them according to their performance (always under objective criteria).

12. How to start trading Forex Reddit as a professional trader (without knowing how to program)

But Rubén, I haven't studied computer science and I'm not particularly good at math. Don't worry if you don't know how to program, it is possible to do all this using tools that will do it for you. For years I have programmed my own systems myself and that's fine, but now I'm concentrating on managing them and getting the most out of them. Do not think that this is the robot that will make you earn millions of euros while you drink the gin and tonic on the beach.
We will read soon with new posts about trading, Forex, cryptocurrencies, platforms ...
Good luck!
To start trading, open an account on Plus500, one of the leading Forex brokers: Click Here
submitted by kayakero to makemoneyforexreddit [link] [comments]

Summarizing some free trading idea resources I've been using

I've been following many free resources on youtube and twitter to generate trading ideas. Some of them are suspicious; some are more like boasting their wining trades but never post any losing trades. I see many people ask about trading ideas/resources, so I want to briefly share some resources I find useful.

Twitter resources:
  1. @ TicTocTick


  1. @ tradingwarz


  1. @ traderstewie


Youtube resources:
  1. Conquer trading and investing. https://www.youtube.com/channel/UCN2WmKUchJpIcS1MupY-BuA


  1. Blaze Capital: https://www.youtube.com/channel/UCq0BCGckWWjrnV8YdYO24JA
Other notes:
  1. The scalping trades in the morning is not very suitable for small accounts since they will trade for example 100 shares of BA (~160) to scalp a few dollars per share.
  2. Even though the stocks on their weekly watchlist does well very, one still need to come up with an actionable plan. Very often say they recommend stock A on Sunday, and on Monday it already gaps up big. They sometimes do YOLO options -- big risk big rewards-- options can go to 0.
  3. Besides the free content, everyone can get a free one-week trial for their paid membership, or a 2-week free trial by winning a lottery game on their youtube ( what I did) or knowing someone in their group and get a referral. What I like about the group: (i) very frequently updates each day on SPY and stocks on the watchlist. (ii) all their positions, Profit / Loss are very transparent. I learned a lot about how to manage trades by observing their live trades. (iii) There are many very experienced traders in the group posting their trading ideas, plans, entry/exit, and there are many live discussions. (iv) There's a "helpdesk" in the group where members' questions will be answered in minutes. I often ask about my trading plan, entries/ targets.




Other resources:
  1. Shadow trader free newsletter
https://www.shadowtrader.net/newsletter-category/swing-trade


I've spent much time looking for free contents, and I like the ones above. Also looking forward to hearing about other good/bad resources. I might also update this post if there are enough interests. NFA
submitted by Busy-Valuable to Daytrading [link] [comments]

5%ers Prop Shop Forex : $24,000 Funded Account Qualification Stage.

5%ers Prop Shop Forex : $24,000 Funded Account Qualification Stage.

Entry Level Testing

Follow results here.


Starting Fee - $270
Starting Funding - $6,000
Live Account - Yes
Required Profit to Pass - $375
Duration - Minimum of 20 days. Maximum time of 6 months to hit profit target.

Risk Restrictions


Maximum Net Loss - $250
Maximum Risk in Stop Loss - 1.5%
Maximum Size of Position - 0.30 lots
Hold Overnight - Yes
Hold Over Weekend - Yes
News Trading Restrictions - News trading is not strictly prohibited.


Notes

5%ers give you a live account from sign up. You can trade and begin to build up real earnings on day one. To qualify to be paid you need to pass the evaluation phase by hitting 6% ($375) profit. It takes at least 20 days to pass (Even if you hit target early) and you have up to 6 months to do it (So it can be passed with an average of 1% a month).
5%ers have a liberal approach to trader flexibility. The only hard and fast rule that needs to be followed is the maximum net loss. This is 4% of the starting balance (Making this far easier than high water mark systems). Traders can use some discretion on their money management to achieve this, but more aggressive trading will mean your profit targets to progress will increase.
Using conservative risk (Complying with the risk restrictions listed above) can lead to lower profit targets to progress (And account size doubles each time you hit a profit target, so this is a good thing).

5%ers main form of communication with their traders is via email. You're expected to give an active email address that you will check regularly and to respond to any messages in a timely manner.

Thoughts on Passing 5%ers Forex Funding Evaluation Stage


For experienced traders passing the evaluation stage should be easy enough and something that can be done within 3 months (Or quicker, depending on strategy and market conditions). The fact the 4% drawdown limit is off the starting balance and not a trailing high water mark give a lot of leeway for a good trader if they can get a bit ahead.

For somewhat experienced traders passing the evaluation stage is achievable if you can apply solid risk management and a strategy that has a winning edge. Having 6 months in which to complete it and the only stipulation if you can not lose $250 off the starting $6,000 mean as long as you keep lot sizing small you can stay alive long enough to hit the target.

For new traders since trading in general is hard, you're going to find stipulated risk conditions very hard. There is a fair chance for newer traders to pass this (Given it's a lot target over 6 months) but there is a higher likelihood of not passing, meaning you lose your $270 evaluation fee. I do not know the stats, but I'd assume a lot of new traders do not pass. It's probably worth getting experience first.


On boarding Process


Getting started with 5%ers Forex funding was and smooth on boarding. I made my payment via PayPal of $270. I was sent a welcome email and details to log into a back office. My account was processing for a while, and then after 30 minutes to an hour I was sent MT4 login details to a funded account of $6,000 with a $250 loss limit. I could trade within 2 hours of signing up.

Reward on Pass


Get paid 50% of the profits made. Account is increased 400% to $24,000. Each 10% made the account will be doubled again up to a maximum of $1.25 million.

Content from Welcome Email


https://preview.redd.it/41m5zg1q7tu51.png?width=572&format=png&auto=webp&s=8cdb9709335e5f722590246d63effafc56961ce6
https://preview.redd.it/slh5rcfr7tu51.png?width=621&format=png&auto=webp&s=e1c94838cdfb7156156b8c6a83375014ed383cf3

My Results


Follow results here.

See risk management plan here for 5%ers funded Forex trading.
submitted by db_aum to ForexFunding [link] [comments]

[Hire Me] Experienced writer in tech, crypto, ecommerce, Saas

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submitted by dev_lurve to HireaWriter [link] [comments]

MCS | MCS, Recognized by Famous Media in the World

MCS | MCS, Recognized by Famous Media in the World

https://preview.redd.it/iohxa47wwzs51.jpg?width=1024&format=pjpg&auto=webp&s=3f8ab490479c77d86e5aeabbe16f7ea4a399b1ee
#Be_a_Trader!
Greetings from MCS, the derivatives trading platform where traders ALWAYS come first.

Following the last post on the credible data providers that approved MCS in the cryptocurrency market, this post will look at what global cryptocurrency specialized media channels recognized MCS.

1. Bitcoin.com


https://preview.redd.it/mngtxx1xwzs51.png?width=700&format=png&auto=webp&s=9ebbe2e236f032687dc55dc44df985c0256ad796
Bitcoin.com is a comprehensive blockchain company founded by a famous blockchain investor and entrepreneur Roger Ver. Bitcoin.com News, a subsidiary of Bitcoin.com, is one of the largest cryptocurrency media companies in the cryptocurrency industry and reports all news on the blockchain and cryptocurrency. .
Meet MCS on Bitcoin.com: https://news.bitcoin.com/mcs-first-exchange-to-list-trons-sun-and-klaytns-klay-futures-contracts/

2. Coin Readers


https://preview.redd.it/9unzrmuxwzs51.png?width=700&format=png&auto=webp&s=d60bed230c8ff3fcb374ad1dd5f37a27b691d1d4
Coin Readers is a blockchain specialized media that analyzes news on various technologies and trends that lead the 4th Industrial Revolution ecosystem through blockchain, and delivers them to the public quickly and accurately.
Meet MCS on Coin Readers: http://coinreaders.com/8712

3. Bitcoin Insider


https://preview.redd.it/yzjltaoywzs51.png?width=700&format=png&auto=webp&s=8d072f34701e93b2e8d3866d0d3cf4c63fcbec40
Bitcoin Insider is one of the largest cryptocurrency media that provides cryptocurrency market data and reports related news.
Meet MCS on Bitcoin Insider: https://www.bitcoininsider.org/article/94355/mcs-first-exchange-list-trons-sun-and-klaytns-klay-futures-contracts

4. Yahoo Finance


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Yahoo Finance is a media outlet that is part of the US Internet search engine, Yahoo. Yahoo Finance provides global financial quotes, news, and data, and is also known for its pro-blockchain attitude.
Meet MCS on Yahoo Finance: https://finance.yahoo.com/news/mcs-global-cryptocurrency-perpetual-contracts-110000829.html?guccounter=1

5. Visionary Financial


https://preview.redd.it/77j0dt60xzs51.png?width=700&format=png&auto=webp&s=b1c4df9eb3785b2eaf6db41a8f235ddd48a030a9
Visionary Financial is a global media founded in 2018. It provides the latest news around the world and is known for providing influential information with a focus on blockchain industry analysis.
Meet MCS on Visionary Financial: https://visionary-finance.com/news/MCS-A-Crypto-Perpetual-Contracts-Trading-Platform-Officially-Launches-Operations/

6. Finanzen.net


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Finanzen.net is a media channel that provides global financial news, and data such as real-time financial asset prices and cryptocurrency prices to individual traders. It also provides exchange rates and Forex charts.
Meet MCS on Finanzen.net: https://www.finanzen.net/nachricht/aktien/mcs-a-global-cryptocurrency-perpetual-contracts-trading-platform-is-now-officially-launched-as-of-june-15-8976734

7. Digital Journal


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Digital Journal is a global digital media network with contributors from all over the world. Global news is reported, and news articles of Digital Journals are posted on various platforms including its website, Facebook, and Twitter.
Meet MCS on Digital Journal: http://www.digitaljournal.com/p4713330
We have looked at the trusted global cryptocurrency media that introduced MCS. The last post and this post clearly show that the MCS Cryptocurrency Derivatives Trading Platform, a new exchange that has only been launched for only 4 months, has already been recognized for its reliability and technology by numerous reputable institutions.

Traders ALWAYS come first on MCS.
Thank you.

MCS Website: https://mycoinstory.com/
MCS Official Twitter (EN): https://twitter.com/mycoinstory_mcs
MCS Official Facebook: https://www.facebook.com/MyCoinStory.official
MCS Telegram Chat (EN): https://t.me/mycoinstory_EN
submitted by MyCoinStory to MyCoinStory [link] [comments]

Factset DD

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
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

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:

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%

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.

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

Increasing ROE despite lowering of leverage post 2016

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.

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.
submitted by WannabeStonks69 to investing [link] [comments]

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