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Former investment bank FX trader: some thoughts
Hi guys, I have been using reddit for years in my personal life (not trading!) and wanted to give something back in an area where i am an expert. I worked at an investment bank for seven years and joined them as a graduate FX trader so have lots of professional experience, by which i mean I was trained and paid by a big institution to trade on their behalf. This is very different to being a full-time home trader, although that is not to discredit those guys, who can accumulate a good amount of experience/wisdom through self learning. When I get time I'm going to write a mid-length posts on each topic for you guys along the lines of how i was trained. I guess there would be 15-20 topics in total so about 50-60 posts. Feel free to comment or ask questions. The first topic is Risk Management and we'll cover it in three parts Part I
Why it matters
Using stops sensibly
Picking a clear level
Why it matters
The first rule of making money through trading is to ensure you do not lose money. Look at any serious hedge fund’s website and they’ll talk about their first priority being “preservation of investor capital.” You have to keep it before you grow it. Strangely, if you look at retail trading websites, for every one article on risk management there are probably fifty on trade selection. This is completely the wrong way around. The great news is that this stuff is pretty simple and process-driven. Anyone can learn and follow best practices. Seriously, avoiding mistakes is one of the most important things: there's not some holy grail system for finding winning trades, rather a routine and fairly boring set of processes that ensure that you are profitable, despite having plenty of losing trades alongside the winners.
Capital and position sizing
The first thing you have to know is how much capital you are working with. Let’s say you have $100,000 deposited. This is your maximum trading capital. Your trading capital is not the leveraged amount. It is the amount of money you have deposited and can withdraw or lose. Position sizing is what ensures that a losing streak does not take you out of the market. A rule of thumb is that one should risk no more than 2% of one’s account balance on an individual trade and no more than 8% of one’s account balance on a specific theme. We’ll look at why that’s a rule of thumb later. For now let’s just accept those numbers and look at examples. So we have $100,000 in our account. And we wish to buy EURUSD. We should therefore not be risking more than 2% which $2,000. We look at a technical chart and decide to leave a stop below the monthly low, which is 55 pips below market. We’ll come back to this in a bit. So what should our position size be? We go to the calculator page, select Position Size and enter our details. There are many such calculators online - just google "Pip calculator". https://preview.redd.it/y38zb666e5h51.jpg?width=1200&format=pjpg&auto=webp&s=26e4fe569dc5c1f43ce4c746230c49b138691d14 So the appropriate size is a buy position of 363,636 EURUSD. If it reaches our stop level we know we’ll lose precisely $2,000 or 2% of our capital. You should be using this calculator (or something similar) on every single trade so that you know your risk. Now imagine that we have similar bets on EURJPY and EURGBP, which have also broken above moving averages. Clearly this EUR-momentum is a theme. If it works all three bets are likely to pay off. But if it goes wrong we are likely to lose on all three at once. We are going to look at this concept of correlation in more detail later. The total amount of risk in our portfolio - if all of the trades on this EUR-momentum theme were to hit their stops - should not exceed $8,000 or 8% of total capital. This allows us to go big on themes we like without going bust when the theme does not work. As we’ll see later, many traders only win on 40-60% of trades. So you have to accept losing trades will be common and ensure you size trades so they cannot ruin you. Similarly, like poker players, we should risk more on trades we feel confident about and less on trades that seem less compelling. However, this should always be subject to overall position sizing constraints. For example before you put on each trade you might rate the strength of your conviction in the trade and allocate a position size accordingly: https://preview.redd.it/q2ea6rgae5h51.png?width=1200&format=png&auto=webp&s=4332cb8d0bbbc3d8db972c1f28e8189105393e5b To keep yourself disciplined you should try to ensure that no more than one in twenty trades are graded exceptional and allocated 5% of account balance risk. It really should be a rare moment when all the stars align for you. Notice that the nice thing about dealing in percentages is that it scales. Say you start out with $100,000 but end the year up 50% at $150,000. Now a 1% bet will risk $1,500 rather than $1,000. That makes sense as your capital has grown. It is extremely common for retail accounts to blow-up by making only 4-5 losing trades because they are leveraged at 50:1 and have taken on far too large a position, relative to their account balance. Consider that GBPUSD tends to move 1% each day. If you have an account balance of $10k then it would be crazy to take a position of $500k (50:1 leveraged). A 1% move on $500k is $5k. Two perfectly regular down days in a row — or a single day’s move of 2% — and you will receive a margin call from the broker, have the account closed out, and have lost all your money. Do not let this happen to you. Use position sizing discipline to protect yourself.
If you’re wondering - why “about 2%” per trade? - that’s a fair question. Why not 0.5% or 10% or any other number? The Kelly Criterion is a formula that was adapted for use in casinos. If you know the odds of winning and the expected pay-off, it tells you how much you should bet in each round. This is harder than it sounds. Let’s say you could bet on a weighted coin flip, where it lands on heads 60% of the time and tails 40% of the time. The payout is $2 per $1 bet. Well, absolutely you should bet. The odds are in your favour. But if you have, say, $100 it is less obvious how much you should bet to avoid ruin. Say you bet $50, the odds that it could land on tails twice in a row are 16%. You could easily be out after the first two flips. Equally, betting $1 is not going to maximise your advantage. The odds are 60/40 in your favour so only betting $1 is likely too conservative. The Kelly Criterion is a formula that produces the long-run optimal bet size, given the odds. Applying the formula to forex trading looks like this: Position size % = Winning trade % - ( (1- Winning trade %) / Risk-reward ratio If you have recorded hundreds of trades in your journal - see next chapter - you can calculate what this outputs for you specifically. If you don't have hundreds of trades then let’s assume some realistic defaults of Winning trade % being 30% and Risk-reward ratio being 3. The 3 implies your TP is 3x the distance of your stop from entry e.g. 300 pips take profit and 100 pips stop loss. So that’s 0.3 - (1 - 0.3) / 3 = 6.6%. Hold on a second. 6.6% of your account probably feels like a LOT to risk per trade.This is the main observation people have on Kelly: whilst it may optimise the long-run results it doesn’t take into account the pain of drawdowns. It is better thought of as the rational maximum limit. You needn’t go right up to the limit! With a 30% winning trade ratio, the odds of you losing on four trades in a row is nearly one in four. That would result in a drawdown of nearly a quarter of your starting account balance. Could you really stomach that and put on the fifth trade, cool as ice? Most of us could not. Accordingly people tend to reduce the bet size. For example, let’s say you know you would feel emotionally affected by losing 25% of your account. Well, the simplest way is to divide the Kelly output by four. You have effectively hidden 75% of your account balance from Kelly and it is now optimised to avoid a total wipeout of just the 25% it can see. This gives 6.6% / 4 = 1.65%. Of course different trading approaches and different risk appetites will provide different optimal bet sizes but as a rule of thumb something between 1-2% is appropriate for the style and risk appetite of most retail traders. Incidentally be very wary of systems or traders who claim high winning trade % like 80%. Invariably these don’t pass a basic sense-check:
How many live trades have you done? Often they’ll have done only a handful of real trades and the rest are simulated backtests, which are overfitted. The model will soon die.
What is your risk-reward ratio on each trade? If you have a take profit $3 away and a stop loss $100 away, of course most trades will be winners. You will not be making money, however! In general most traders should trade smaller position sizes and less frequently than they do. If you are going to bias one way or the other, far better to start off too small.
How to use stop losses sensibly
Stop losses have a bad reputation amongst the retail community but are absolutely essential to risk management. No serious discretionary trader can operate without them. A stop loss is a resting order, left with the broker, to automatically close your position if it reaches a certain price. For a recap on the various order types visit this chapter. The valid concern with stop losses is that disreputable brokers look for a concentration of stops and then, when the market is close, whipsaw the price through the stop levels so that the clients ‘stop out’ and sell to the broker at a low rate before the market naturally comes back higher. This is referred to as ‘stop hunting’. This would be extremely immoral behaviour and the way to guard against it is to use a highly reputable top-tier broker in a well regulated region such as the UK. Why are stop losses so important? Well, there is no other way to manage risk with certainty. You should always have a pre-determined stop loss before you put on a trade. Not having one is a recipe for disaster: you will find yourself emotionally attached to the trade as it goes against you and it will be extremely hard to cut the loss. This is a well known behavioural bias that we’ll explore in a later chapter. Learning to take a loss and move on rationally is a key lesson for new traders. A common mistake is to think of the market as a personal nemesis. The market, of course, is totally impersonal; it doesn’t care whether you make money or not. Bruce Kovner, founder of the hedge fund Caxton Associates There is an old saying amongst bank traders which is “losers average losers”. It is tempting, having bought EURUSD and seeing it go lower, to buy more. Your average price will improve if you keep buying as it goes lower. If it was cheap before it must be a bargain now, right? Wrong. Where does that end? Always have a pre-determined cut-off point which limits your risk. A level where you know the reason for the trade was proved ‘wrong’ ... and stick to it strictly. If you trade using discretion, use stops.
Picking a clear level
Where you leave your stop loss is key. Typically traders will leave them at big technical levels such as recent highs or lows. For example if EURUSD is trading at 1.1250 and the recent month’s low is 1.1205 then leaving it just below at 1.1200 seems sensible. If you were going long, just below the double bottom support zone seems like a sensible area to leave a stop You want to give it a bit of breathing room as we know support zones often get challenged before the price rallies. This is because lots of traders identify the same zones. You won’t be the only one selling around 1.1200. The “weak hands” who leave their sell stop order at exactly the level are likely to get taken out as the market tests the support. Those who leave it ten or fifteen pips below the level have more breathing room and will survive a quick test of the level before a resumed run-up. Your timeframe and trading style clearly play a part. Here’s a candlestick chart (one candle is one day) for GBPUSD. https://preview.redd.it/moyngdy4f5h51.png?width=1200&format=png&auto=webp&s=91af88da00dd3a09e202880d8029b0ddf04fb802 If you are putting on a trend-following trade you expect to hold for weeks then you need to have a stop loss that can withstand the daily noise. Look at the downtrend on the chart. There were plenty of days in which the price rallied 60 pips or more during the wider downtrend. So having a really tight stop of, say, 25 pips that gets chopped up in noisy short-term moves is not going to work for this kind of trade. You need to use a wider stop and take a smaller position size, determined by the stop level. There are several tools you can use to help you estimate what is a safe distance and we’ll look at those in the next section. There are of course exceptions. For example, if you are doing range-break style trading you might have a really tight stop, set just below the previous range high. https://preview.redd.it/ygy0tko7f5h51.png?width=1200&format=png&auto=webp&s=34af49da61c911befdc0db26af66f6c313556c81 Clearly then where you set stops will depend on your trading style as well as your holding horizons and the volatility of each instrument. Here are some guidelines that can help:
Use technical analysis to pick important levels (support, resistance, previous high/lows, moving averages etc.) as these provide clear exit and entry points on a trade.
Ensure that the stop gives your trade enough room to breathe and reflects your timeframe and typical volatility of each pair. See next section.
Always pick your stop level first. Then use a calculator to determine the appropriate lot size for the position, based on the % of your account balance you wish to risk on the trade.
So far we have talked about price-based stops. There is another sort which is more of a fundamental stop, used alongside - not instead of - price stops. If either breaks you’re out. For example if you stop understanding why a product is going up or down and your fundamental thesis has been confirmed wrong, get out. For example, if you are long because you think the central bank is turning hawkish and AUDUSD is going to play catch up with rates … then you hear dovish noises from the central bank and the bond yields retrace lower and back in line with the currency - close your AUDUSD position. You already know your thesis was wrong. No need to give away more money to the market.
Coming up in part II
EDIT: part II here Letting stops breathe When to change a stop Entering and exiting winning positions Risk:reward ratios Risk-adjusted returns
Coming up in part III
Squeezes and other risks Market positioning Bet correlation Crap trades, timeouts and monthly limits *** Disclaimer:This content is not investment advice and you should not place any reliance on it. The views expressed are the author's own and should not be attributed to any other person, including their employer.
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.
There are a lot of opportunities online for anyone that wants to make a little extra money. From a part-time hustle to an all-out digital career, there are loads of ways that you can make money with an electronic device, and a connection to the internet.
Paid Surveys - Did you know that thousands of South Africans earn extra income by simply participating in online surveys to help local companies improve their products? Finally, now you have an opportunity to do this as well! You can find a list of the top survey sites for South Africa HERE
Selling Your Photos Online - Selling photos is a wonderful way to make money online if you have an aptitude for photography. Two popular platforms that you can try are Shutterlock and Unsplash. Every platform will have different requirements, but they will all pay you in hard cash. Though the photography market is quite hectic, it’s still a good method of gaining a passive income if you’re persistent and professional. Plus, the opportunity for additional sales is higher when your photos become popular. Many companies need photos of landscapes, and we all know that South Africa has some of the most amazing scenery in the world. In some cases, a smartphone is enough to get started, depending on the stock photo site you choose.
Be a Freelance Content Writer - Freelance writing is a serious online business. The internet enters most areas of our life, and the need for blog articles and various types of content is exploding. There are many kinds of online writing work, and many people need things like product descriptions or simple reviews. Before going further in this direction, you first need to set up a blog or website. This will be an amazing portfolio where you can demonstrate to potential clients or businesses that you can deliver great work. A LinkedIn profile can be created to function as an online portfolio as well. Don’t forget that many writing clients will want to see specialized work, so be sure to consider what area you would like to specialize in. The pay for online writing varies, but with some practice, you should be able to make a decent part-time income.
Sell Unwanted Goods - You can sell your unwanted stuff to people who want it and make your side business a real money maker. There’s plenty of options to use for sales such as Gumtree or Amazon. Don’t forget to do some research and see what assets have recently been sold so you have a target price. If you a business, you can sell other people’s goods as well. Many people don’t have the time or patience to sell goods online, and you can do it for them. If you charge a reasonable percentage of the sales, you can make a solid business out of selling used goods online.
Build a Personal blog/website - Not only can you write for companies to gain income but you’re also able to run your own blog to raise money as well. Set your expectations at a reasonable level because this job requires consistent practice and lots of patience. Bloggers make a profit, often through press coverage, advertising products, and writing sponsored guest posts. You will need to run the blog for a while before you can expect to see any profits, but it is very simple to get started. Check out some of the other ideas on this list for ways to leverage a blog for greater income, like selling drop shipped items.
Legitimate Remote Jobs can Pay Real Money - Many companies are heading to a work-from-home style of business since this type of model helps save money, and eliminates the risk of illnesses. People are completely flexible while working for a company and selecting where they decide to spend their time.CrowdSource, for example, hires remote writers, editors, and other jobs that can be done easily from anywhere. Companies like Fast Chart offer work-from-home options for medical transcriptionists. You can also try seeking opportunities at LiveOps, a call center staff. You might be surprised at how much time and money you save when you work at home. There is no transit, and you can cook for yourself. Think about it!
Become a Dropshipper - Dropshipping is not a strange term, especially when eCommerce is booming. Anyone can be a drop shipper since the work requires low investment at the beginning and also guarantees minimal risk. The system operates by purchasing the stock (goods) from a third party supplier or manufacturer, who then fulfills the customer’s request. You don’t have to shop or handle goods in advance because the product comes directly from the vendors whenever an order is placed by a customer. There are many dropshipping platforms out there, and some are basically free to use. You will need to figure out how to market the goods, which is where a blog or website comes in very handy.
Affiliate Marketing - Affiliate marketing is a popular method of making money online in South Africa and across the world. You can sell into a variety of markets with this business model, and make money almost anywhere. You can generate revenue from product sales. In other words, affiliate marketers will refer readers to a lot of products and get a small cut from them. Once a customereader buys products, you will earn a commission. A widely known approach is to start creating your own blog in a specific niche and to establish a trustworthy community that can purchase your promotions. Unlike dropshipping, you simply get a commission and have no other responsibilities. So easy! Check out SA’s leading affiliate network – https://www.affiliate.co.za/
Online Business with Etsy - Try selling DIY designs and crafts on Etsy if you’re a skilled maker. An Etsy shop is basically free to operate, and you can make real money with the platform. Once your registration is complete, you can start posting photos of your works, and people can purchase your products. There is really no limit to what can be sold on Etsy, but make sure that you are able to send your goods to other countries, as many buyers are likely to be in the EU or North America. A PayPal account is important to have and also a popular payment choice so that customers can pay you quickly. Take nice pictures of the items to help draw purchasers into a sale. Make sure that you have good customer service as well, or you won’t be selling on the platform for very long!
Forex Trading - You might have heard about trading FOREX or Contract For Difference (CFD) trading. The basics of this online money-making are simple. You will choose a currency pair, and bet on the direction of one currency vs. the other. For example, you could speculate that the EURO will appreciate vs. the RAND (or just about any currency). If you are correct, and then sell the contract, you will make profits. While this might sound easy, most people who do this lose money. In addition to currency, most retail FOREX brokers will allow you to trade in other markets, such as commodities, or shares. If you are looking for a reliable income, this probably isn’t right for you. On the other hand, if you don’t mind taking on risks, trading FOREX can be extremely profitable.
Forex Signals Reddit: top providers review (part 1)
Forex Signals - TOP Best Services. Checked!
To invest in the financial markets, we must acquire good tools that help us carry out our operations in the best possible way. In this sense, we always talk about the importance of brokers, however, signal systems must also be taken into account. The platforms that offer signals to invest in forex provide us with alerts that will help us in a significant way to be able to carry out successful operations. For this reason, we are going to tell you about the importance of these alerts in relation to the trading we carry out, because, without a doubt, this type of system will provide us with very good information to invest at the right time and in the best assets in the different markets. financial Within this context, we will focus on Forex signals, since it is the most important market in the world, since in it, multiple transactions are carried out on a daily basis, hence the importance of having an alert system that offers us all the necessary data to invest in currencies. Also, as we all already know, cryptocurrencies have become a very popular alternative to investing in traditional currencies. Therefore, some trading services/tools have emerged that help us to carry out successful operations in this particular market. In the following points, we will detail everything you need to know to start operating in the financial markets using trading signals: what are signals, how do they work, because they are a very powerful help, etc. Let's go there!
What are Forex Trading Signals?
https://preview.redd.it/vjdnt1qrpny51.jpg?width=640&format=pjpg&auto=webp&s=bc541fc996701e5b4dd940abed610b59456a5625 Before explaining the importance of Forex signals, let's start by making a small note so that we know what exactly these alerts are. Thus, we will know that the signals on the currency market are received by traders to know all the information that concerns Forex, both for assets and for the market itself. These alerts allow us to know the movements that occur in the Forex market and the changes that occur in the different currency pairs. But the great advantage that this type of system gives us is that they provide us with the necessary information, to know when is the right time to carry out our investments.
In other words, through these signals, we will know the opportunities that are presented in the market and we will be able to carry out operations that can become quite profitable.
Profitability is precisely another of the fundamental aspects that must be taken into account when we talk about Forex signals since the vast majority of these alerts offer fairly reliable data on assets. Similarly, these signals can also provide us with recommendations or advice to make our operations more successful.
»Purpose: predict movements to carry out Profitable Operations
In short, Forex signal systems aim to predict the behavior that the different assets that are in the market will present and this is achieved thanks to new technologies, the creation of specialized software, and of course, the work of financial experts. In addition, it must also be borne in mind that the reliability of these alerts largely lies in the fact that they are prepared by financial professionals. So they turn out to be a perfect tool so that our investments can bring us a greater number of benefits.
The best signal services today
We are going to tell you about the 3 main alert system services that we currently have on the market. There are many more, but I can assure these are not scams and are reliable. Of course, not 100% of trades will be a winner, so please make sure you apply proper money management and risk management system.
1. 1000pipbuilder (top choice)
Fast track your success and follow the high-performance Forex signals from 1000pip Builder. These Forex signals are rated 5 stars on Investing.com, so you can follow every signal with confidence. All signals are sent by a professional trader with over 10 years investment experience. This is a unique opportunity to see with your own eyes how a professional Forex trader trades the markets. The 1000pip Builder Membership is ordinarily a signal service for Forex trading. You will get all the facts you need to successfully comply with the trading signals, set your stop loss and take earnings as well as additional techniques and techniques! You will get easy to use trading indicators for Forex Trades, including your entry, stop loss and take profit. Overall, the earnings target per months is 350 Pips, depending on your funding this can be a high profit per month! (In fact, there is by no means a guarantee, but the past months had been all between 600 – 1000 Pips). >>>Know more about 1000pipbuilder Your 1000pip builder membership gives you all in hand you want to start trading Forex with success. Read the directions and wait for the first signals. You can trade them inside your demo account first, so you can take a look at the performance before you make investments real money! Features:
Forex signals sent by email and SMS
Entry price, take profit and stop loss provided
Suitable for all time zones (signals sent over 24 hours)
Digital Derivatives Markets (DDMarkets) have been providing trade alert offerings since May 2014 - fully documenting their change ideas in an open and transparent manner. September 2020 performance report for DD Markets. Their manner is simple: carry out extensive research, share their evaluation and then deliver a trading sign when triggered. Once issued, daily updates on the trade are despatched to members via email. It's essential to note that DDMarkets do not tolerate floating in an open drawdown in an effort to earnings at any cost - a common method used by less professional providers to 'fudge' performance statistics. Verified Statistics: Not independently verified. Price: plans from $74.40 per month. Year Founded: 2014 Suitable for Beginners: Yes, (includes handy to follow trade analysis) VISIT -------
If you are looking or a forex signal service with a reliable (and profitable) music record you can't go previous Joel Kruger and the team at JKonFX. Trading performance file for JKonFX. Joel has delivered a reputable +59.18% journal performance for 2016, imparting real-time technical and fundamental insights, in an extremely obvious manner, to their 30,000+ subscriber base. Considered a low-frequency trader, alerts are only a small phase of the overall JKonFX subscription. If you're searching for hundreds of signals, you may want to consider other options. Verified Statistics: Not independently verified. Price: plans from $30 per month. Year Founded: 2014 Suitable for Beginners: Yes, (includes convenient to follow videos updates). VISIT
The importance of signals to invest in Forex
Once we have known what Forex signals are, we must comment on the importance of these alerts in relation to our operations. As we have already told you in the previous paragraph, having a system of signals to be able to invest is quite advantageous, since, through these alerts, we will obtain quality information so that our operations end up being a true success.
»Use of signals for beginners and experts
In this sense, we have to say that one of the main advantages of Forex signals is that they can be used by both beginners and trading professionals. As many as others can benefit from using a trading signal system because the more information and resources we have in our hands. The greater probability of success we will have. Let's see how beginners and experts can take advantage of alerts:
Beginners: for inexperienced these alerts become even more important since they will thus have an additional tool that will guide them to carry out all operations in the Forex market.
Professionals: In the same way, professionals are also recommended to make use of these alerts, so they have adequate information to continue bringing their investments to fruition.
Now that we know that both beginners and experts can use forex signals to invest, let's see what other advantages they have.
When we dedicate ourselves to working in the financial world, none of us can spend 24 hours in front of the computer waiting to perform the perfect operation, it is impossible. That is why Forex signals are important, because, in order to carry out our investments, all we will have to do is wait for those signals to arrive, be attentive to all the alerts we receive, and thus, operate at the right time according to the opportunities that have arisen. It is fantastic to have a tool like this one that makes our work easier in this regard.
»Carry out profitable Forex operations
These signals are also important, because the vast majority of them are usually quite profitable, for this reason, we must get an alert system that provides us with accurate information so that our operations can bring us great benefits. But in addition, these Forex signals have an added value and that is that they are very easy to understand, therefore, we will have a very useful tool at hand that will not be complicated and will end up being a very beneficial weapon for us.
»Decision support analysis
A system of currency market signals is also very important because it will help us to make our subsequent decisions. We cannot forget that, to carry out any type of operation in this market, previously, we must meditate well and know the exact moment when we will know that our investments are going to bring us profits . Therefore, all the information provided by these alerts will be a fantastic basis for future operations that we are going to carry out.
»Trading Signals made by professionals
Finally, we have to recall the idea that these signals are made by the best professionals. Financial experts who know perfectly how to analyze the movements that occur in the market and changes in prices. Hence the importance of alerts, since they are very reliable and are presented as a necessary tool to operate in Forex and that our operations are as profitable as possible.
What should a signal provider be like?
https://preview.redd.it/j0ne51jypny51.png?width=640&format=png&auto=webp&s=5578ff4c42bd63d5b6950fc6401a5be94b97aa7f As you have seen, Forex signal systems are really important for our operations to bring us many benefits. For this reason, at present, there are multiple platforms that offer us these financial services so that investing in currencies is very simple and fast. Before telling you about the main services that we currently have available in the market, it is recommended that you know what are the main characteristics that a good signal provider should have, so that, at the time of your choice, you are clear that you have selected one of the best systems.
»Must send us information on the main currency pairs
In this sense, one of the first things we have to comment on is that a good signal provider, at a minimum, must send us alerts that offer us information about the 6 main currencies, in this case, we refer to the euro, dollar, The pound, the yen, the Swiss franc, and the Canadian dollar. Of course, the data you provide us will be related to the pairs that make up all these currencies. Although we can also find systems that offer us information about other minorities, but as we have said, at a minimum, we must know these 6.
»Trading tools to operate better
Likewise, signal providers must also provide us with a large number of tools so that we can learn more about the Forex market.
We refer, for example, to technical analysis above all, which will help us to develop our own strategies to be able to operate in this market.
These analyzes are always prepared by professionals and study, mainly, the assets that we have available to invest.
»Different Forex signals reception channels
They must also make available to us different ways through which they will send us the Forex signals, the usual thing is that we can acquire them through the platform's website, or by a text message and even through our email. In addition, it is recommended that the signal system we choose sends us a large number of alerts throughout the day, in order to have a wide range of possibilities.
»Free account and customer service
Other aspects that we must take into account to choose a good signal provider is whether we have the option of receiving, for a limited time, alerts for free or the profitability of the signals they emit to us. Similarly, a final aspect that we must emphasize is that a good signal system must also have excellent customer service, which is available to us 24 hours a day and that we can contact them at through an email, a phone number, or a live chat, for greater immediacy. Well, having said all this, in our last section we are going to tell you which are the best services currently on the market. That is, the most suitable Forex signal platforms to be able to work with them and carry out good operations. In this case, we will talk about ForexPro Signals, 365 Signals and Binary Signals.
Forex Signals Reddit: conclusion
To be able to invest properly in the Forex market, it is convenient that we get a signal system that provides us with all the necessary information about this market. It must be remembered that Forex is a very volatile market and therefore, many movements tend to occur quickly. Asset prices can change in a matter of seconds, hence the importance of having a system that helps us analyze the market and thus know, what is the right time for us to start operating. Therefore, although there are currently many signal systems that can offer us good services, the three that we have mentioned above are the ones that are best valued by users, which is why they are the best signal providers that we can choose to carry out. our investments. Most of these alerts are quite profitable and in addition, these systems usually emit a large number of signals per day with full guarantees. For all this, SignalsForexPro, Signals365, or SignalsBinary are presented as fundamental tools so that we can obtain a greater number of benefits when we carry out our operations in the currency market.
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.
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.
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:
I'm using the stop entry version - so I wait for the price to trade beyond the confirmation candle(in the direction of my trade) before entering. I don't have any data to support this decision, but I've always preferred this method over retracement-limit entries. Maybe I just like the feeling of a higher winrate even though there can be greater R:R using a limit entry. Variety is the spice of life.
I put my stop loss right at the opposite edge of the confirmation candle. NOT at the edge of the 2-candle pattern that makes up the system. I'll get into this more below - not enough trades are saved to justify the wider stops. (Wider stop means less $ per pip won, assuming you still only risk 1%).
All my profit/loss statistics are based on a 1% risk per trade. Because 1 is real easy to multiply.
There are definitely some questionable trades in here, but I tried to make it as mechanical as possible for evaluation purposes. They do fit the definitions of the system, which is why I included them. You could probably improve the winrate by being more discretionary about your trades by looking at support/resistance or other techniques.
I didn't use MBB much for either entering trades, or as support/resistance indicators. Again, trying to be pretty mechanical here just for data collection purposes. Plus, we all make bad trading decisions now and then, so let's call it even.
As stated in the title, this is for H1 only. These results may very well not play out for other time frames - who knows, it may not even work on H1 starting this Monday. Forex is an unpredictable place.
I collected data to show efficacy of taking profit at three different levels: -61.8%, -100% and -161.8% fib levels described in the system using the passive trade management method(set it and forget it). I'll have more below about moving up stops and taking off portions of a position.
And now for the fun. Results!
Total Trades: 241
TP at -61.8%: 177 out of 241: 73.44%
TP at -100%: 156 out of 241: 64.73%
TP at -161.8%: 121 out of 241: 50.20%
Adjusted Proft % (takes spread into account):
TP at -61.8%: 5.22%
TP at -100%: 23.55%
TP at -161.8%: 29.14%
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):
7pm-4am: Fewer setups, but winrate high.
5am-6am: Lots of setups, but but winrate low.
12pm-3pm Medium number of setups, but winrate low.
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.
Moving SL up to 0% when the price hits -61.8%, TP at -100%
Adjusted Proft % (takes spread into account): 5.36%
Taking half position off at -61.8%, moving SL up to 0%, TP remaining half at -100%
Adjusted Proft % (takes spread into account): -1.01% (yes, a net loss)
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:
Moving SL up to 0% when the price hits -61.8%, TP at -100%
Winrate(breakeven doesn't count as a win): 46.4%
Adjusted Proft % (takes spread into account): 17.97%
Taking half position off at -61.8%, moving SL up to 0%, TP remaining half at -100%
Winrate(breakeven doesn't count as a win): 65.97%
Adjusted Proft % (takes spread into account): 11.60%
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.
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.
Total Trades: 75
TP at -61.8%: 84.00%
TP at -100%: 73.33%
TP at -161.8%: 60.00%
Moving SL up to 0% when the price hits -61.8%, TP at -100%: 53.33%
Taking half position off at -61.8%, moving SL up to 0%, TP remaining half at -100%: 53.33% (yes, oddly the exact same winrate. but different trades/profits)
Adjusted Proft % (takes spread into account):
TP at -61.8%: 18.13%
TP at -100%: 26.20%
TP at -161.8%: 34.01%
Moving SL up to 0% when the price hits -61.8%, TP at -100%: 19.20%
Taking half position off at -61.8%, moving SL up to 0%, TP remaining half at -100%: 17.29%
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):
"System Details" I described above.
TP at -161.8%
Static SL at opposite side of confirmation candle - I won't move stops up to breakeven.
Trade only 7am-11am and 4pm-11pm signals.
Nothing where spread is more than 25% of trade width.
Looking at the data for these rules, test results are:
Adjusted Proft % (takes spread into account): 47.43%
I'll be sure to let everyone know how it goes!
Other Technical Details
ATR is only slightly elevated in this date range from historical levels, so this should fairly closely represent reality even after the COVID volatility leaves the scalpers sad and alone.
The sample size is much too small for anything really meaningful when you slice by hour or pair. I wasn't particularly looking to test a specific pair here - just the system overall as if you were going to trade it on all pairs with a reasonable spread.
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.
I'm on the East Coast in the US, so the timestamps are Eastern time.
Time stamp is from the confirmation candle, not the indecision candle. So 7am would mean the indecision candle was 6:00-6:59 and the confirmation candle is 7:00-7:59 and you'd put in your order at 8:00.
I found a couple AM/PM typos as I was reviewing the data, so let me know if a trade doesn't make sense and I'll correct it.
Insanely detailed spreadsheet notes
For you real nerds out there. Here's an explanation of what each column means:
Pair - duh
Date/Time - Eastern time, confirmation candle as stated above
Win to -61.8%? - whether the trade made it to the -61.8% TP level before it hit the original SL.
Win to -100%? - whether the trade made it to the -100% TP level before it hit the original SL.
Win to -161.8%? - whether the trade made it to the -161.8% TP level before it hit the original SL.
Retracement level between -61.8% and -100% - how deep the price retraced after hitting -61.8%, but before hitting -100%. Be careful to look for the negative signs, it's easy to mix them up. Using the fib% levels defined in ParallaxFX's original thread. A plain hyphen "-" means it did not retrace, but rather went straight through -61.8% to -100%. Positive 100 means it hit the original SL.
Retracement level between -100% and -161.8% - how deep the price retraced after hitting -100%, but before hitting -161.8%. Be careful to look for the negative signs, it's easy to mix them up. Using the fib% levels defined in ParallaxFX's original thread. A plain hyphen "-" means it did not retrace, but rather went straight through -100% to -161.8%. Positive 100 means it hit the original SL.
Trade Width(Pips) - the size of the confirmation candle, and thus the "width" of your trade on which to determine position size, draw fib levels, etc.
Loser saved by 2 candle stop? - for all losing trades, whether or not the 2-candle stop loss would have saved the trade and how far it ended up getting if so. "No" means it didn't save it, N/A means it wasn't a losing trade so it's not relevant.
Spread(ThinkorSwim) - these are typical spreads for these pairs on ToS.
Spread % of Width - How big is the spread compared to the trade width? Not used in any calculations, but interesting nonetheless.
True Risk(Trade Width + Spread) - I set my SL at the opposite side of the confirmation candle knowing that I'm actually exposing myself to slightly more risk because of the spread(stop order = market order when submitted, so you pay the spread). So this tells you how many pips you are actually risking despite the Trade Width. I prefer this over setting the stop inside from the edge of the candle because some pairs have a wide spread that would mess with the system overall. But also many, many of these trades retraced very nearly to the edge of the confirmation candle, before ending up nicely profitable. If you keep your risk per trade at 1%, you're talking a true risk of, at most, 1.25% (in worst-case scenarios with the spread being 25% of the trade width as I am going with above).
Win or Loss in %(1% risk) including spread TP -61.8% - not going to go into huge detail, see the spreadsheet for calculations if you want. But, in a nutshell, if the trade was a win to 61.8%, it returns a positive # based on 61.8% of the trade width, minus the spread. Otherwise, it returns the True Risk as a negative. Both normalized to the 1% risk you started with.
Win or Loss in %(1% risk) including spread TP -100% - same as the last, but 100% of Trade Width.
Win or Loss in %(1% risk) including spread TP -161.8% - same as the last, but 161.8% of Trade Width.
Win or Loss in %(1% risk) including spread TP -100%, and move SL to breakeven at 61.8% - uses the retracement level columns to calculate profit/loss the same as the last few columns, but assuming you moved SL to 0% fib level after price hit -61.8%. Then full TP at 100%.
Win or Loss in %(1% risk) including spread take off half of position at -61.8%, move SL to breakeven, TP 100% - uses the retracement level columns to calculate profit/loss the same as the last few columns, but assuming you took of half the position and moved SL to 0% fib level after price hit -61.8%. Then TP the remaining half at 100%.
Overall Growth(-161.8% TP, 1% Risk) - pretty straightforward. Assuming you risked 1% on each trade, what the overall growth level would be chronologically(spreadsheet is sorted by date).
Based on the reasonable rules I discovered in this backtest:
Date range: 6/11-7/3
Adjusted Proft % (takes spread into account): 47.43%
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!
Date range: 7/9-7/30
Adjusted Proft % (takes spread into account): 20.73%
Starting Balance: $5,000
Ending Balance: $6,036.51
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.
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.
Made 18k yesterday, today pulled out profits at 1.5k dont be like me
Studying forex for over a year and ive been trading real money for like 2months. I’ve been keeping my risk low for the first month trusting my system down to the wire made 3,5k on a 15k account then volatility really hit. I truly believed in tge recession so i cought the aud swing pretty early and made 11k, but i was still following my system( scaling out, not adding to much to trades) Might of got to my head those numbers cuz yesterday caught big swing down on the aud and the de30eur ( over leveraged by accident but payed off) so what did i do when my profits were at 12, i double dipped shot down to 16k and i did the same but by the time it hit 18k it shot up quick after that. Seeing my it hit 16k didnt phase me, i was just thinking bout future profits after retracement 12k startled me but i believe in the recession and the aus going down, didnt realize how much leverage i was using and it didnt need to go all the way back up to loose all profits. So i continued believing it would go down and i was chasing my profits looking at mt4 for 6hrs straight until i pulled out with 1.5k made that day. Even if im positive, i feel like shit just down af, i couldve of pulled out a 12 k but instead removed my stop loss. Im going to take this as a blessing tho or atleast try to i knew it was that much would be unsustainable just lucky i didnt go negative and damage my account. Forex is truly crack cocaine, pls dont be like me
Forex Trading: a Beginner's Guide The forex market is the world's largest international currency trading market operating non-stop during the working week. Most forex trading is done by professionals such as bankers. Generally forex trading is done through a forex broker - but there is nothing to stop anyone trading currencies. Forex currency trading allows buyers and sellers to buy the currency they need for their business and sellers who have earned currency to exchange what they have for a more convenient currency. The world's largest banks dominate forex and according to a survey in The Wall Street Journal Europe, the ten most active traders who are engaged in forex trading account for almost 73% of trading volume. However, a sizeable proportion of the remainder of forex trading is speculative with traders building up an investment which they wish to liquidate at some stage for profit. While a currency may increase or decrease in value relative to a wide range of currencies, all forex trading transactions are based upon currency pairs. So, although the Euro may be 'strong' against a basket of currencies, traders will be trading in just one currency pair and may simply concern themselves with the Euro/US Dollar ( EUUSD) ratio. Changes in relative values of currencies may be gradual or triggered by specific events such as are unfolding at the time of writing this - the toxic debt crisis. Because the markets for currencies are global, the volumes traded every day are vast. For the large corporate investors, the great benefits of trading on Forex are:
Enormous liquidity - over $4 trillion per day, that's $4,000,000,000. This means that there's always someone ready to trade with you
Every one of the world's free currencies are traded - this means that you may trade the currency you want at any time
Twenty four - hour trading during the 5-day working week
Operations are global which mean that you can trade with any part of the world at any time
From the point of view of the smaller trader there's lots of benefits too, such as:
A rapidly-changing market - that's one which is always changing and offering the chance to make money
Very well developed mechanisms for controlling risk
Ability to go long or short - this means that you can make money either in rising or falling markets
Leverage trading - meaning that you can benefit from large-volume trading while having a relatively-low capital base
Lots of options for zero-commission trading
How the forex Market Works As forex is all about foreign exchange, all transactions are made up from a currency pair - say, for instance, the Euro and the US Dollar. The basic tool for trading forex is the exchange rate which is expressed as a ratio between the values of the two currencies such as EUUSD = 1.4086. This value, which is referred to as the 'forex rate' means that, at that particular time, one Euro would be worth 1.4086 US Dollars. This ratio is always expressed to 4 decimal places which means that you could see a forex rate of EUUSD = 1.4086 or EUUSD = 1.4087 but never EUUSD = 1.40865. The rightmost digit of this ratio is referred to as a 'pip'. So, a change from EUUSD = 1.4086 to EUUSD = 1.4088 would be referred to as a change of 2 pips. One pip, therefore is the smallest unit of trade. With the forex rate at EUUSD = 1.4086, an investor purchasing 1000 Euros using dollars would pay $1,408.60. If the forex rate then changed to EUUSD = 1.5020, the investor could sell their 1000 Euros for $1,502.00 and bank the $93.40 as profit. If this doesn't seem to be large amount to you, you have to put the sum into context. With a rising or falling market, the forex rate does not simply change in a uniform way but oscillates and profits can be taken many times per day as a rate oscillates around a trend. When you're expecting the value EUUSD to fall, you might trade the other way by selling Euros for dollars and buying then back when the forex rate has changed to your advantage. Is forex Risky? When you trade on forex as in any form of currency trading, you're in the business of currency speculation and it is just that - speculation. This means that there is some risk involved in forex currency trading as in any business but you might and should, take steps to minimise this. You can always set a limit to the downside of any trade, that means to define the maximum loss that you are prepared to accept if the market goes against you - and it will on occasions. The best insurance against losing your shirt on the forex market is to set out to understand what you're doing totally. Search the internet for a good forex trading tutorial and study it in detail- a bit of good forex education can go a long way!. When there's bits you don't understand, look for a good forex trading forum and ask lots and lots of questions. Many of the people who habitually answer your queries on this will have a good forex trading blog and this will probably not only give you answers to your questions but also provide lots of links to good sites. Be vigilant, however, watch out for forex trading scams. Don't be too quick to part with your money and investigate anything very well before you shell out any hard-earned! The forex Trading Systems While you may be right in being cautious about any forex trading system that's advertised, there are some good ones around. Most of them either utilise forex charts and by means of these, identify forex trading signals which tell the trader when to buy or sell. These signals will be made up of a particular change in a forex rate or a trend and these will have been devised by a forex trader who has studied long-term trends in the market so as to identify valid signals when they occur. Many of the systems will use forex trading software which identifies such signals from data inputs which are gathered automatically from market information sources. Some utilise automated forex trading software which can trigger trades automatically when the signals tell it to do so. If these sound too good to be true to you, look around for online forex trading systems which will allow you undertake some dummy trading to test them out. by doing this you can get some forex trading training by giving them a spin before you put real money on the table. How Much do you Need to Start off with? This is a bit of a 'How long is a piece of string?' question but there are ways for to be beginner to dip a toe into the water without needing a fortune to start with. The minimum trading size for most trades on forex is usually 100,000 units of any currency and this volume is referred to as a standard "lot". However, there are many firms which offer the facility to purchase in dramatically-smaller lots than this and a bit of internet searching will soon locate these. There's many adverts quoting only a couple of hundred dollars to get going! You will often see the term acciones trading forex and this is just a general term which covers the small guy trading forex. Small-scale trading facilities such as these are often called as forex mini trading. Where do You Start? The single most obvious answer is of course - on the internet! Online forex trading gives you direct access to the forex market and there's lots and lots of companies out there who are in business just to deal with you online. Be vigilant, do spend the time to get some good forex trading education, again this can be provided online and set up your dummy account to trade before you attempt to go live. If you take care and take your time, there's no reason why you shouldn't be successful in forex trading so, have patience and stick at it!
Thoughts On The Market Series #1 - The New Normal?
Market Outlook: What to Make of This “New Normal”
By ****\* March 16, 2020 After an incredibly volatile week – which finished with the Dow Jones Industrial Average rallying over 9% on Friday – I suppose my readers might expect me to be quite upbeat about the markets. Unfortunately, I persist in my overall pessimistic outlook for stocks, and for the economy in general. Friday’s rally essentially negated Thursday’s sell-off, but I don’t expect it to be the start of a sustained turnaround. We’re getting a taste of that this morning, with the Dow opening down around 7%. This selloff is coming on the back of an emergency interest rate cut by the Federal Reserve of 100 basis points (to 0%-0.25%) on Sunday… along with the announcement of a new quantitative easing program of $700 billion. (I will write about this further over the next several days.) As I have been writing for many weeks, the financial bubble – which the Fed created by pumping trillions of dollars into the financial system – has popped. It will take some time for the bubble to deflate to sustainable levels. Today I’ll walk you through what’s going on in the markets and the economy… what I expect going forward and why… and what it means for us as traders. (You’ll see it’s not all bad news.)
Coronavirus’ Strain on the Global Economy
To start, let’s put things in perspective: This asset deflation was coming one way or another. Covid19 (or coronavirus) has simply accelerated the process. Major retailers are closing, tourism is getting crushed, universities and schools are sending students home, conventions, sporting events, concerts, and other public gatherings have been cancelled, banks and other financial service firms are going largely virtual, and there has been a massive loss of wealth. Restaurant data suggests that consumer demand is dropping sharply, and the global travel bans will only worsen the situation. Commercial real estate is another sector that looks particularly vulnerable. We are almost certain to see a very sharp and pronounced economic slowdown here in the United States, and elsewhere. In fact, I expect a drop of at least 5% of GDP over the next two quarters, which is quite severe by any standard. Sure, when this cycle is complete, there will be tremendous amounts of pent-up demand by consumers, but for the time being, the consumer is largely on the sidelines. Of course, the problems aren’t just in the U.S. China’s numbers look awful. In fact, the government there may have to “massage” their numbers a bit to show a positive GDP in the first quarter. Europe’s numbers will also look dreadful, and South Korea’s economy has been hit badly. All around the world, borders are being shut, all non-essential businesses are being closed, and people in multiple countries are facing a lockdown of historic proportions. The coronavirus is certainly having a powerful impact, and it looks certain that its impact will persist for a while. Consider global tourism. It added almost $9 trillion to the global economy in 2018, and roughly 320 million jobs. This market is in serious trouble. Fracking in the U.S. is another business sector that is in a desperate situation. Millions of jobs and tens of billions of loans are now in jeopardy. The derivative businesses that this sector supports will be likewise devastated as companies are forced to reduce their workforces or shut down due to the collapse in oil prices. This sector’s suffering will probably force banks to book some big losses despite attempts by the government to support this industry. In a similar way, the derivative businesses that are supported by the universities and colleges across America are going to really suffer. There are nearly 20 million students in colleges across the U.S. When they go home for spring vacation and do not return, the effect on the local businesses that colleges and university populations support will be devastating. What does this “new normal” mean going forward? Let’s take a look…
The new normal may become increasingly unpleasant for us. We need to be ready to hunker down for quite some time. Beyond that, the government needs to handle this crisis far better in the future. The level of stupidity associated with the massive throngs of people trapped in major airports yesterday, for example, was almost unimaginable. Instead of facilitating the reduction of social contact and halting the further spread of the coronavirus, the management of the crowds at the airports produced a perfect breeding ground for the spread of the virus. My guess is that more draconian travel restrictions will be implemented soon, matching to some extent the measures taken across Europe. This will in turn have a further dampening effect on economic activity in the U.S., putting more and more pressure on the Fed and the government to artificially support a rapidly weakening economy. Where does this end up? It is too early to say, but a very safe bet is that we will have some months of sharply negative growth. Too many sectors of the economy are going to take a hit to expect anything else. The Fed has already driven interest rates to zero. Will that help? Unlikely. In fact, as I mentioned at the beginning of this update, the markets are voting with a resounding NO. The businesses that are most affected by the current economic situation will still suffer. Quantitative easing is hardly a cure-all. In fact, it has been one of the reasons that we have such a mess in our markets today. The markets have become addicted to the easy money, so more of the same will have little or no impact. We will need real economic demand, not an easier monetary policy. It won’t help support tourism, for example, or the other sectors getting smashed right now. The government will need to spend at least 5% of GDP, or roughly $1 trillion, to offset the weakness I see coming. Is it surprising that the Fed and the government take emergency steps to try to stabilize economic growth? Not at all. This is essentially what they have been doing for a long time, so it is completely consistent with their playbook. Next, I would anticipate the government implementing some massive public-works and infrastructure programs over the coming months. That would be very helpful, and almost certainly quite necessary. But there’s a problem with this kind of intervention from the government…
What Happens When You Eliminate the Business Cycle
The Fed’s foolish attempt to eliminate business cycles is a significant contributing factor to the volatility we are currently experiencing. Quantitative easing is nothing more than printing lots and lots of money to support a weak economy and give the appearance of growth and prosperity. In fact, it is a devaluation of the currency’s true buying power. That in turn artificially drives up the prices of other assets, such as stocks, real estate and gold – but it does not create true wealth. That only comes with non-inflationary growth of goods and services and associated increases in economic output. Inflation is the government’s way to keep people thinking they are doing better. To that point: We have seen some traditional safe-haven assets getting destroyed during this time of risk aversion. That has certainly compounded the problems of many investors. Gold is a great example. As the stock market got violently slammed, people were forced to come up with cash to support their losing positions. Gold became a short-term source of liquidity as people sold their gold holdings in somewhat dramatic fashion. It was one of the few holdings of many people that was not dramatically under water, so people sold it. The move may have seemed perverse, particularly to people who bought gold as a safe-haven asset, but in times of crisis, all assets tend to become highly correlated, at least short term. We saw a similar thing happen with long yen exposures and long Bitcoin exposures recently. The dollar had its strongest one-day rally against the yen since November 2016 as people were forced to sell huge amounts of yen to generate liquidity. Many speculators had made some nice profits recently as the dollar dropped sharply from 112 to 101.30, but they have been forced to book whatever profits they had in this position. Again, this was due to massive losses elsewhere in their portfolios. Is the yen’s sell-off complete? If it is not complete, it is probably at least close to an attractive level for Japanese investors to start buying yen against a basket of currencies. The major supplies of yen have largely been taken off the table for now. For example, the yen had been a popular funding currency for “carry” plays. People were selling yen and buying higher-yielding currencies to earn the interest rate difference between the liability currency (yen) and the funding currency (for example, the U.S. dollar). Carry plays are very unpopular in times of great uncertainty and volatility, however, so that supply of yen will be largely gone for quite some time. Plus, the yield advantage of currencies such as the U.S. dollar, Canadian dollar, and Australian dollar versus the yen is nearly gone. In addition, at the end of the Japanese fiscal year , there is usually heavy demand for yen as Japanese corporations need to bring home a portion of their overseas holdings for balance sheet window dressing. I don’t expect that pressure to be different this year. Just as the safe-haven assets of yen and gold got aggressively sold, Bitcoin also got hammered. It was driven by a similar theme – people had big losses and they needed to produce liquidity quickly. Selling Bitcoin became one of the sources of that liquidity.
Heavy Price Deflation Ahead
Overall, there is a chance that this scenario turns into something truly ugly, with sustained price deflation across many parts of the economy. We will certainly have price deflation in many sectors, at least on a temporary basis. Why does that matter over the long term? Price deflation is the most debilitating economic development in a society that is debt-laden – like the U.S. today. Prices of assets come down… and the debt becomes progressively bigger and bigger. The balance sheet of oil company Chesapeake Energy is a classic example. It’s carrying almost $10 billion worth of debt… versus a market cap of only about $600 million. Talk about leverage! When the company had a market cap of $10 billion, that debt level didn’t appear so terrifying. Although this is an extreme example for illustrative purposes, the massive debt loads of China would seem more and more frightening if we were to sink into flat or negative growth cycles for a while. The government’s resources are already being strained, and it can artificially support only so many failing companies. The U.S. has gigantic levels of debt as well, but it has the advantage of being the world’s true hegemon, and the U.S. dollar is the world’s reserve currency. This creates a tremendous amount of leverage and power in financing its debt. The U.S. has been able to impose its will on its trading partners to trade major commodities in dollars. This has created a constant demand for the dollar that offsets, to a large extent, the massive trade deficit that the U.S. runs. For example, if a German company wants to buy oil, then it needs to hold dollars. This creates a constant demand for dollar assets. In short, the dollar’s status as the true global reserve currency is far more important than most people realize. China does not hold this advantage.
What to Do Now
In terms of how to position ourselves going forward, I strongly recommend that people continue with a defensive attitude regarding stocks. There could be a lot more downside to come. Likewise, we could see some panic selling in other asset classes. The best thing right now is to be liquid and patient, ready to pounce on special opportunities when they present themselves. For sure, there will be some exceptional opportunities, but it is too early to commit ourselves to just one industry. These opportunities could come in diverse sectors such as commercial real estate, hospitality, travel and leisure, and others. As for the forex markets, the volatility in the currencies is extreme, so we are a bit cautious. I still like the yen as a safe-haven asset. I likewise still want to sell the Australian dollar, the New Zealand dollar, and the Canadian dollar as liability currencies. Why? The Bank of Canada, the Reserve Bank of Australia, and the Reserve Bank of New Zealand have all taken aggressive steps recently, slashing interest rates. These currencies are all weak, and they will get weaker. Finding an ideal entry for a trade, however, is tricky. Therefore, we are being extra careful with our trading. We always prioritize the preservation of capital over generating profits, and we will continue with this premise. At the same time, volatility in the markets is fantastic for traders. We expect many excellent opportunities to present themselves over the coming days and weeks as prices get driven to extreme levels and mispricings appear. So stay tuned.
T3 Newsbeat Live is run by Mark Melnick, a 20-year veteran trader from New York. According to him, he made his first million at the age of 19 during the dot-com boom back in the late 90s. He claims that his trading room is the fastest growing trading room at T3 and also the Wall Street’s #1 trading room. You can see this in the description of his videos on Youtube. He is a big proponent of reaching the highest win rate possible in trading. He openly shares some of his trading strategies in free videos and claims that some of his strategies are batting over 70% or even 80 %. He also often says that some of the members enjoy a win rate over 90% using his strategies. I will let you be the judge of this. Self-Promotion He makes a lot of videos to attract new people into his trading room. His daily videos are uploaded on Facebook and Youtube almost daily even on Weekends (mostly excluding Friday evening & Saturdays). In so many videos you’d hear him talking about how his trading room has an edge over other trading rooms while bashing other trading rooms as a whole. He often talks about how his trading room bought stocks/options at the near bottom or shorted at the near top using his “algorithmic analysis” which can be applied to all markets (stocks, future, forex, crypto). Piques your curiosity, right? In fact, that’s how I got to give his trading room a try. “Who in the hell wouldn’t want to catch the top & bottom in the markets, right?” So, you would think people in his room and himself are making a killing using his algorithmic analysis? Not so fast… (in fact, his algorithmic analysis is just drawing trendlines and identifying the most probable support and resistance) When it works (of course, nothing works 100% of the time), you are able to catch just few cents off the top and bottom when it works if you follow his trade. However, you have no idea how long you’d have to hold your position. Mark doesn’t know either. So, he usually goes for nickels and dimes and rarely holds a position longer than 5 minutes. Even if he’s good at picking bottoms and tops, you’d often risk more than nickels and dimes just to make nickels and dimes. Make sense, right? ……. ……. ……. Also, because he gets out of his positions fast, he misses out on riding some potentially big trades. Oh, how I wish stay in that position a bit longer. He doesn’t say but one can surmise that he often leave too much on the table. Of course, it’s important to take your profit fast when you scalp but you consistently leave too much on the table like he does, one has to wonder if he has any system for taking profits (otherwise, it’s all discretionary guessing). This type of bottom/top picking is not his main strategy, though. The strategy that makes him the most amount of money might surprise you. I will get to this later. How Mark Trades (Mark’s Trading Setups and Strategies) Mainly, he scans the market in the morning for earnings reports, analysts’ upgrades/downgrades and other catalysts that have potential to make moves in the market. He openly shares his mockery or insult of analysts, calling certain analysts “idiots” or “imbeciles”. He puts on his first trade(s) early in the morning (from 9:30AM to 10:00AM Eastern Standard Time) when the market move is the most volatile. Some of his strategies use market order during this period of volatile time using options. You can see why this can be very risky and especially on thinly traded options with side spread. He does point out this but sometimes you hear people in the room stuck in an options position that they can’t get out. Just like his trades from calling the top/bottom of a stock, he gets in and gets out of a position within minutes if not seconds while going for nickels and dimes while staring at 1minute and 5-minutes charts. That applies to most, if not all of his strategies. (Yes, sometimes he does catch bigger moves than nickels and dimes.) When you trade during the most volatile time in the morning, you’re subjected to wild moves in both directions. If you’re overly prudent or inexperienced in trading, your stop (unless very wide), has a very high chance of hitting. A lot of times it might stop you out and go in the direction that you predicted. So, when you’ve been trading during this time, you’d probably don’t set a stoploss order or a hard stop to avoid getting fleeced. You do have to be proactive at cutting your loss as quickly as possible. Otherwise you’d find yourself scrambling to get out your position while the bid keeps dropping. I have to say that Mark is very cautious and he does get out of trades very fast if he has doubt. A lot of times he lets out exhausting, heavy sighs and even murmurs some swear words when things don’t seem to go the way he wants in a trade. Besides calling certain analysts, “imbeciles” and “idiots”, this is quite unprofessional but no one in the room has the gut to point things out like this. The irony is that he is the “head of trading psychology” at T3 and it doesn’t seem like that he doesn’t have much control over his trading psychology and let alone his emotion. People in trading chatrooms, like a herd of sheep, as a whole exhibit herd mentality. Even in an online chatroom, you don’t often see someone ruffling feathers and say what they really want to say. This is probably because of the certain amount of people believing whatever he says without questioning the validity and quality of his comments. He has several strategies and according to him all of them have win rate over %70. However, he also comes up with new strategies as often as every month. He either comes up with new strategy or tweaks his existing strategies. According to him, the reason is that the market is always evolving and you need to constantly adapt yourself to the ever-changing market environment. What do you think? Does this sound like someone with an edge? And for someone who scalps for nickels and dimes, he claims to have the highest Sharpe Ratio that he has ever seen in the industry. I’m NOT making this up. He often utters remarks like “My Sharpe Ratio is one of the highest I’ve seen in my twenty-year trading career.”, “I want to create a of traders with a very high Sharpe Ratio. How can you achieve a high Sharpe Ratio when you scalp all the time? And let’s not even talk about commissions generated from frequent scalping. Who cares about commissions when you can be a scalper with high Sharpe Ratio? Now, I want to talk about something controversial about his most profitable strategy. Chatters According to him, he makes the most amount of money using what he calls “Chatters”. He admits he bets on this kind of trades heavily. His chatter trades are based on the “newsflow” of big funds making a move in certain stocks and piggybacking on the same trade before others catch on. No one knows how he exactly gets his “newsflow” and he doesn’t give a straight answer when asked. Maybe he pays a lot for this kind of information or maybe it’s given to him for free. Who knows? But it makes sense. The name of the room is Newsbeat Live. Without this the name wouldn’t be the same. This is probably the only real edge that he has and it’s understandable that he doesn’t want to reveal how he get this kind of newsflow and from where. By joining his trading room he’ll make a callout on these trades for you to take advantage of. In order to do this kind of trade, you have to be very quick on your trigger finger. Almost always the initial move is done within a couple of minutes, if not seconds. If you get in late, you find yourself a sucker buying at or near the top. Also, because you want to get in as soon as you hear his “chatter” announcements, he advised people to get in within 5 seconds of each chatter announcement and use market order to get in. He said that if he had a small account, he’d bet 100% on this kind of “high-octane” chatter trades and get in and get out fast for “easy” money. This was how chatter trades were done …Until one they when many people got burned badly. Back in September or October of 2019, a lot of people in the room lost a lot money because they market ordered call options contracts on a chatter trade. The spread on that trade was something like BID: 0.5 ASK: 5.00 few seconds after he announced it. I didn’t take that trade. No way, I’m going to buy something that has a spread like that. If you’ve been trading options you know that this kind of spread can happen. Many people that day in the room marketed-in on the trade, taking the offer at ASK. They found themselves buying at $5.0 per contract when someone probably bought the same contract at $0.40 or $0.50 just few seconds ago. Someone walked away with decent profits on that trade. This was the biggest trading chatroom fiasco I’ve ever seen. People in the room grieving and throwing numbers of how much they had just lost. 10K, 20K, 30K and even $60K. Could it be also that someone who lost more and didn’t want to talk about it because it’d hurt too much? And how embarrassing to talk about such a loss. I give credit to people who spoke up about it. People were obviously distressed and what did Mr. Mark Melnick do at this moment? Initially, he didn’t say much. But what he said he was going to walk away from the trading desk to clear his mind. It took a while for him to come back and he mentioned that it hurt him a lot that people lost a lot of money and encouraged people not to hesitate to contact him. I don’t think he ever said anything about that he made a mistake insinuating to load up on chatter trades. No apology since everyone who took the trade did it at their own risk. He advised people to reach out to their broker and do whatever it takes to get their trades annulled because the market makers in that trades were despicable crooks and evil. But let’s get one thing clear. Perhaps the cold hard truth. Since Mark is the one who announces chatter trades. he basically frontruns everyone who gets in on these trades after him. There were times when he doesn’t take his own chatter trades and lets the room have it. But when he does, it’s a guarantee win for him. He has some sycophantic followers in his trading room and these people are always hungry for chatter plays. I can imagine drooling over the idea of next chatter trades. It’s human to naturally seek the least path of resistance and this type of trade requires no skill but having fast trigger finger and a platform that allows fast execution. By taking his chatter trades, you are most likely to make money as long as you act fast to get in and get out. The thing is, you don’t know when it’s exactly the next chatter trade is going to happen. If you take a bathroom break, you just miss it. If you take a phone call or answer a door bell, you just missed it. So, it requires you to be glued to your monitor(s) if you want to make the most of your subscription. So, we went over Mark’s most profitable strategy. But wait we haven’t yet to talk about his overnight swing trades. Mark’s Swing Trades His overnight swing trades jokes. Yes, jokes. A lot of his overnight trades are done just before earnings announcements when implied volatility is at the highest. You’ve ever bought a call option just before earnings, predicted the right direction but only to find out that you still lost money next morning? This is because of the implied volatility crush post earnings. A lot of people new to options don’t know this and get taken advantage by veterans this way. I don’t know if Mark knows or not but I witnessed him buying options this way. I think he understand the concept of implied volatility but why he gets on such trades is a mystery. I haven’t exactly checked the result of all of his swing trades but I wouldn’t be surprised if people lost more money following his swing trades than anything in the room. Final Word Mark offers “free-consultation” on the phone for people who struggle in their trading. He said that he takes a lot of phone calls but often you’d get the feeling that he is distracted, unable to give an undivided attention for his consultation. “How would you like to get on a free consultation with a millionaire scalper who can take your trading to the next level?” Appealing isn’t it? But would you want to get on the phone with someone who is going to give a consultation, even if he or she is distracted? Oh, it’s a free consultation. Ok, why not? What do I got to lose? In his videos, you’d hear him saying that he cares for everyone in his trading room and considers them as part of his family. And he runs the trading room out of his good heart and intention more than making money. Besides he says that he makes more money from his trading than running the room. My suggestion is that you have a look and you’d be the judge. He does hold “open house” for his trading room from time to time. Also, I believe that if you try his trading room for the first time, you try it for a month for about $50. As for me, he’s just another front runner using his trading room to profit with a bad sense of humor and exaggeration that make you cringe.
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