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Trading economic news
The majority of this sub is focused on technical analysis. I regularly ridicule such "tea leaf readers" and advocate for trading based on fundamentals and economic news instead, so I figured I should take the time to write up something on how exactly you can trade economic news releases. This post is long as balls so I won't be upset if you get bored and go back to your drooping dick patterns or whatever.
How economic news is released
First, it helps to know how economic news is compiled and released. Let's take Initial Jobless Claims, the number of initial claims for unemployment benefits around the United States from Sunday through Saturday. Initial in this context means the first claim for benefits made by an individual during a particular stretch of unemployment. The Initial Jobless Claims figure appears in the Department of Labor's Unemployment Insurance Weekly Claims Report, which compiles information from all of the per-state departments that report to the DOL during the week. A typical number is between 100k and 250k and it can vary quite significantly week-to-week. The Unemployment Insurance Weekly Claims Report contains data that lags 5 days behind. For example, the Report issued on Thursday March 26th 2020 contained data about the week ending on Saturday March 21st 2020. In the days leading up to the Report, financial companies will survey economists and run complicated mathematical models to forecast the upcoming Initial Jobless Claims figure. The results of surveyed experts is called the "consensus"; specific companies, experts, and websites will also provide their own forecasts. Different companies will release different consensuses. Usually they are pretty close (within 2-3k), but for last week's record-high Initial Jobless Claims the reported consensuses varied by up to 1M! In other words, there was essentially no consensus. The Unemployment Insurance Weekly Claims Report is released each Thursday morning at exactly 8:30 AM ET. (On Thanksgiving the Report is released on Wednesday instead.) Media representatives gather at the Frances Perkins Building in Washington DC and are admitted to the "lockup" at 8:00 AM ET. In order to be admitted to the lockup you have to be a credentialed member of a media organization that has signed the DOL lockup agreement. The lockup room is small so there is a limited number of spots. No phones are allowed. Reporters bring their laptops and connect to a local network; there is a master switch on the wall that prevents/enables Internet connectivity on this network. Once the doors are closed the Unemployment Insurance Weekly Claims Report is distributed, with a heading that announces it is "embargoed" (not to be released) prior to 8:30 AM. Reporters type up their analyses of the report, including extracting key figures like Initial Jobless Claims. They load their write-ups into their companies' software, which prepares to send it out as soon as Internet is enabled. At 8:30 AM the DOL representative in the room flips the wall switch and all of the laptops are connected to the Internet, releasing their write-ups to their companies and on to their companies' partners. Many of those media companies have externally accessible APIs for distributing news. Media aggregators and squawk services (like RanSquawk and TradeTheNews) subscribe to all of these different APIs and then redistribute the key economic figures from the Report to their own subscribers within one second after Internet is enabled in the DOL lockup. Some squawk services are text-based while others are audio-based. FinancialJuice.com provides a free audio squawk service; internally they have a paid subscription to a professional squawk service and they simply read out the latest headlines to their own listeners, subsidized by ads on the site. I've been using it for 4 months now and have been pretty happy. It usually lags behind the official release times by 1-2 seconds and occasionally they verbally flub the numbers or stutter and have to repeat, but you can't beat the price! Important - I’m not affiliated with FinancialJuice and I’m not advocating that you use them over any other squawk. If you use them and they misspeak a number and you lose all your money don’t blame me. If anybody has any other free alternatives please share them!
How the news affects forex markets
Institutional forex traders subscribe to these squawk services and use custom software to consume the emerging data programmatically and then automatically initiate trades based on the perceived change to the fundamentals that the figures represent. It's important to note that every institution will have "priced in" their own forecasted figures well in advance of an actual news release. Forecasts and consensuses all come out at different times in the days leading up to a news release, so by the time the news drops everybody is really only looking for an unexpected result. You can't really know what any given institution expects the value to be, but unless someone has inside information you can pretty much assume that the market has collectively priced in the experts' consensus. When the news comes out, institutions will trade based on the difference between the actual and their forecast. Sometimes the news reflects a real change to the fundamentals with an economic effect that will change the demand for a currency, like an interest rate decision. However, in the case of the Initial Jobless Claims figure, which is a backwards-looking metric, trading is really just self-fulfilling speculation that market participants will buy dollars when unemployment is low and sell dollars when unemployment is high. Generally speaking, news that reflects a real economic shift has a bigger effect than news that only matters to speculators. Massive and extremely fast news-based trades happen within tenths of a second on the ECNs on which institutional traders are participants. Over the next few seconds the resulting price changes trickle down to retail traders. Some economic news, like Non Farm Payroll Employment, has an effect that can last minutes to hours as "slow money" follows behind on the trend created by the "fast money". Other news, like Initial Jobless Claims, has a short impact that trails off within a couple minutes and is subsequently dwarfed by the usual pseudorandom movements in the market. The bigger the difference between actual and consensus, the bigger the effect on any given currency pair. Since economic news releases generally relate to a single currency, the biggest and most easily predicted effects are seen on pairs where one currency is directly effected and the other is not affected at all. Personally I trade USD/JPY because the time difference between the US and Japan ensures that no news will be coming out of Japan at the same time that economic news is being released in the US. Before deciding to trade any particular news release you should measure the historical correlation between the release (specifically, the difference between actual and consensus) and the resulting short-term change in the currency pair. Historical data for various news releases (along with historical consensus data) is readily available. You can pay to get it exported into Excel or whatever, or you can scroll through it for free on websites like TradingEconomics.com. Let's look at two examples: Initial Jobless Claims and Non Farm Payroll Employment (NFP). I collected historical consensuses and actuals for these releases from January 2018 through the present, measured the "surprise" difference for each, and then correlated that to short-term changes in USD/JPY at the time of release using 5 second candles. I omitted any releases that occurred simultaneously as another major release. For example, occasionally the monthly Initial Jobless Claims comes out at the exact same time as the monthly Balance of Trade figure, which is a more significant economic indicator and can be expected to dwarf the effect of the Unemployment Insurance Weekly Claims Report. USD/JPY correlation with Initial Jobless Claims (2018 - present) USD/JPY correlation with Non Farm Payrolls (2018 - present) The horizontal axes on these charts is the duration (in seconds) after the news release over which correlation was calculated. The vertical axis is the Pearson correlation coefficient: +1 means that the change in USD/JPY over that duration was perfectly linearly correlated to the "surprise" in the releases; -1 means that the change in USD/JPY was perfectly linearly correlated but in the opposite direction, and 0 means that there is no correlation at all. For Initial Jobless Claims you can see that for the first 30 seconds USD/JPY is strongly negatively correlated with the difference between consensus and actual jobless claims. That is, fewer-than-forecast jobless claims (fewer newly unemployed people than expected) strengthens the dollar and greater-than-forecast jobless claims (more newly unemployed people than expected) weakens the dollar. Correlation then trails off and changes to a moderate/weak positive correlation. I interpret this as algorithms "buying the dip" and vice versa, but I don't know for sure. From this chart it appears that you could profit by opening a trade for 15 seconds (duration with strongest correlation) that is long USD/JPY when Initial Jobless Claims is lower than the consensus and short USD/JPY when Initial Jobless Claims is higher than expected. The chart for Non Farm Payroll looks very different. Correlation is positive (higher-than-expected payrolls strengthen the dollar and lower-than-expected payrolls weaken the dollar) and peaks at around 45 seconds, then slowly decreases as time goes on. This implies that price changes due to NFP are quite significant relative to background noise and "stick" even as normal fluctuations pick back up. I wanted to show an example of what the USD/JPY S5 chart looks like when an "uncontested" (no other major simultaneously news release) Initial Jobless Claims and NFP drops, but unfortunately my broker's charts only go back a week. (I can pull historical data going back years through the API but to make it into a pretty chart would be a bit of work.) If anybody can get a 5-second chart of USD/JPY at March 19, 2020, UTC 12:30 and/or at February 7, 2020, UTC 13:30 let me know and I'll add it here.
So without too much effort we determined that (1) USD/JPY is strongly negatively correlated with the Initial Jobless Claims figure for the first 15 seconds after the release of the Unemployment Insurance Weekly Claims Report (when no other major news is being released) and also that (2) USD/JPY is strongly positively correlated with the Non Farms Payroll figure for the first 45 seconds after the release of the Employment Situation report. Before you can assume you can profit off the news you have to backtest and consider three important parameters. Entry speed: How quickly can you realistically enter the trade? The correlation performed above was measured from the exact moment the news was released, but realistically if you've got your finger on the trigger and your ear to the squawk it will take a few seconds to hit "Buy" or "Sell" and confirm. If 90% of the price move happens in the first second you're SOL. For back-testing purposes I assume a 5 second delay. In practice I use custom software that opens a trade with one click, and I can reliably enter a trade within 2-3 seconds after the news drops, using the FinancialJuice free squawk. Minimum surprise: Should you trade every release or can you do better by only trading those with a big enough "surprise" factor? Backtesting will tell you whether being more selective is better long-term or not. Hold time: The optimal time to hold the trade is not necessarily the same as the time of maximum correlation. That's a good starting point but it's not necessarily the best number. Backtesting each possible hold time will let you find the best one. The spread: When you're only holding a position open for 30 seconds, the spread will kill you. The correlations performed above used the midpoint price, but in reality you have to buy at the ask and sell at the bid. Brokers aren't stupid and the moment volume on the ECN jumps they will widen the spread for their retail customers. The only way to determine if the news-driven price movements reliably overcome the spread is to backtest. Stops: Personally I don't use stops, neither take-profit nor stop-loss, since I'm automatically closing the trade after a fixed (and very short) amount of time. Additionally, brokers have a minimum stop distance; the profits from scalping the news are so slim that even the nearest stops they allow will generally not get triggered. I backtested trading these two news releases (since 2018), using a 5 second entry delay, real historical spreads, and no stops, cycling through different "surprise" thresholds and hold times to find the combination that returns the highest net profit. It's important to maximize net profit, not expected value per trade, so you don't over-optimize and reduce the total number of trades taken to one single profitable trade. If you want to get fancy you can set up a custom metric that combines number of trades, expected value, and drawdown into a single score to be maximized. For the Initial Jobless Claims figure I found that the best combination is to hold trades open for 25 seconds (that is, open at 5 seconds elapsed and hold until 30 seconds elapsed) and only trade when the difference between consensus and actual is 7k or higher. That leads to 30 trades taken since 2018 and an expected return of... drumroll please... -0.0093 yen per unit per trade. Yep, that's a loss of approx. $8.63 per lot. Disappointing right? That's the spread and that's why you have to backtest. Even though the release of the Unemployment Insurance Weekly Claims Report has a strong correlation with movement in USD/JPY, it's simply not something that a retail trader can profit from. Let's turn to the NFP. There I found that the best combination is to hold trades open for 75 seconds (that is, open at 5 seconds elapsed and hold until 80 seconds elapsed) and trade every single NFP (no minimum "surprise" threshold). That leads to 20 trades taken since 2018 and an expected return of... drumroll please... +0.1306 yen per unit per trade. That's a profit of approx. $121.25 per lot. Not bad for 75 seconds of work! That's a +6% ROI at 50x leverage.
Make it real
If you want to do this for realsies, you need to run these numbers for all of the major economic news releases. Markit Manufacturing PMI, Factory Orders MoM, Trade Balance, PPI MoM, Export and Import Prices, Michigan Consumer Sentiment, Retail Sales MoM, Industrial Production MoM, you get the idea. You keep a list of all of the releases you want to trade, when they are released, and the ideal hold time and "surprise" threshold. A few minutes before the prescribed release time you open up your broker's software, turn on your squawk, maybe jot a few notes about consensuses and model forecasts, and get your finger on the button. At the moment you hear the release you open the trade in the correct direction, hold it (without looking at the chart!) for the required amount of time, then close it and go on with your day. Some benefits of trading this way: * Most major economic releases come out at either 8:30 AM ET or 10:00 AM ET, and then you're done for the day. * It's easily backtestable. You can look back at the numbers and see exactly what to expect your return to be. * It's fun! Packing your trading into 30 seconds and knowing that institutions are moving billions of dollars around as fast as they can based on the exact same news you just read is thrilling. * You can wow your friends by saying things like "The St. Louis Fed had some interesting remarks on consumer spending in the latest Beige Book." * No crayons involved. Some downsides: * It's tricky to be fast enough without writing custom software. Some broker software is very slow and requires multiple dialog boxes before a position is opened, which won't cut it. * The profits are very slim, you're not going to impress your instagram followers to join your expensive trade copying service with your 30-second twice-weekly trades. * Any friends you might wow with your boring-ass economic talking points are themselves the most boring people in the world. I hope you enjoyed this long as fuck post and you give trading economic news a try!
I was going through old emails today and came across this one I sent out to family on January 4, 2018. It was a reflection on the 2017 crypto bull market and where I saw it heading, as well as some general advice on crypto, investment, and being safe about how you handle yourself in cryptoland. I feel that we are on the cusp of a new bull market right now, so I thought that I would put this out for at least a few people to see *before* the next bull run, not after. While the details have changed, I don't see a thing in this email that I fundamentally wouldn't say again, although I'd also probably insist that people get a Yubikey and use that for all 2FA where it is supported. Happy reading, and sorry for some of the formatting weirdness -- I cleaned it up pretty well from the original email formatting, but I love lists and indents and Reddit has limitations... :-/ Also, don't laught at my token picks from January 2018! It was a long time ago and (luckliy) I took my own advice about moving a bunch into USD shortly after I sent this. I didn't hit the top, and I came back in too early in the summer of 2018, but I got lucky in many respects. ----------------------------------------------------------------------- Jan-4, 2018 Hey all! I woke up this morning to ETH at a solid $1000 and decided to put some thoughts together on what I think crypto has done and what I think it will do. *******, if you could share this to your kids I’d appreciate it -- I don’t have e-mail addresses, and it’s a bit unwieldy for FB Messenger… Hopefully they’ll at least find it thought-provoking. If not, they can use it as further evidence that I’m a nutjob. 😉 Some history before I head into the future. I first mined some BTC in 2011 or 2012 (Can’t remember exactly, but it was around the Christmas holidays when I started because I had time off from work to get it set up and running.) I kept it up through the start of summer in 2012, but stopped because it made my PC run hot and as it was no longer winter, ********** didn’t appreciate the sound of the fans blowing that hot air into the room any more. I’ve always said that the first BTC I mined was at $1, but looking back at it now, that’s not true – It was around $2. Here’s a link to BTC price history. In the summer of 2013 I got a new PC and moved my programs and files over before scrapping the old one. I hadn’t touched my BTC mining folder for a year then, and I didn’t even think about salvaging those wallet files. They are now gone forever, including the 9-10BTC that were in them. While I can intellectually justify the loss, it was sloppy and underlines a key thing about cryptocurrency that I believe will limit its widespread adoption by the general public until it is addressed and solved: In cryptoland, you are your own bank, and if you lose your password or account number, there is no person or organization that can help you reset it so that you can get access back. Your money is gone forever. On April 12, 2014 I bought my first BTC through Coinbase. BTC had spiked to $1000 and been in the news, at least in Japan. This made me remember my old wallet and freak out for a couple of months trying to find it and reclaim the coins. I then FOMO’d (Fear Of Missing Out”) and bought $100 worth of BTC. I was actually very lucky in my timing and bought at around $430. Even so, except for a brief 50% swing up almost immediately afterwards that made me check prices 5 times a day, BTC fell below my purchase price by the end of September and I didn’t get back to even until the end of 2015. In May 2015 I bought my first ETH at around $1. I sent some guy on bitcointalk ~$100 worth of BTC and he sent me 100 ETH – all on trust because the amounts were small and this was a small group of people. BTC was down in the $250 range at that point, so I had lost 30-40% of my initial investment. This was of the $100 invested, so not that much in real terms, but huge in percentages. It also meant that I had to buy another $100 of BTC on Coinbase to send to this guy. A few months after I purchased my ETH, BTC had doubled and ETH had gone down to $0.50, halving the value of my ETH holdings. I was even on the first BTC purchase finally, but was now down 50% on the ETH I had bought. The good news was that this made me start to look at things more seriously. Where I had skimmed white papers and gotten a superficial understanding of the technology before FOMO’ing, I started to act as an investor, not a speculator. Let me define how I see those two different types of activity:
Investors buy because the price is less than the value they see in the investment. Speculators buy because they think that someone will pay more in the future than they are paying now.
Investors trade on information (The white paper was really well-written, had a clear technical advantage over other alternatives, and addresses a need that I can understand and value.) Speculators trade on sentiment. (Buy the rumor! Sell the news!)
Investors usually look at the investment and themselves and can describe why they purchase in those terms (ABC-Coin provides (service) that isn’t addressed yet and matches (requirements) for an investment.) Speculators usually describe why they bought something in terms of how other people think (I think that other people think that the price will rise, so I want to get ahead of that.)
Investors don’t necessarily check the price every day. The can, and very often I do, but it isn’t required because fundamentals don’t often change on a dime. Speculators need to be glued to a price feed, because sentiment very often changes on a dime.
Investors like ideas, people, business plans, and market opportunities. Good ones are like Spock. Speculators like trends. They are tribal.
Investors have a longer time horizon than speculators. In cryptoland, the notion of a “longer” time horizon is still laughably small (months) compared to traditional markets, but it certainly isn’t weeks or days or hours, which is whre speculators often live.
So what has been my experience as an investor? After sitting out the rest of 2015 because I needed to understand the market better, I bought into ETH quite heavily, with my initial big purchases being in March-April of 2016. Those purchases were in the $11-$14 range. ETH, of course, dropped immediately to under $10, then came back and bounced around my purchase range for a while until December of 2016, when I purchased a lot more at around $8. I also purchased my first ICO in August of 2016, HEAT. I bought 25ETH worth. Those tokens are now worth about half of their ICO price, so about 12.5ETH or $12500 instead of the $25000 they would be worth if I had just kept ETH. There are some other things with HEAT that mean I’ve done quite a bit better than those numbers would suggest, but the fact is that the single best thing I could have done is to hold ETH and not spend the effort/time/cost of working with HEAT. That holds true for about every top-25 token on the market when compared to ETH. It certainly holds true for the many, many tokens I tried to trade in Q1-Q2 of 2017. In almost every single case I would have done better and slept better had I just held ETH instead of trying to be smarter than Mr. Market. But, I made money on all of them except one because the crypto market went up more in USD terms than any individual coin went down in ETH or BTC terms. This underlines something that I read somewhere and that I take to heart: A rising market makes everyone seem like a genius. A monkey throwing darts at a list of the top 100 cryptocurrencies last year would have doubled his money. Here’s a chart from September that shows 2017 year-to-date returns for the top 10 cryptocurrencies, and all of them went up a *lot* more between then and December. A monkey throwing darts at this list there would have quintupled his money. When evaluating performance, then, you have to beat the monkey, and preferably you should try to beat a Wall Street monkey. I couldn’t, so I stopped trying around July 2017. My benchmark was the BLX, a DAA (Digital Asset Array – think fund like a Fidelity fund) created by ICONOMI. I wasn’t even close to beating the BLX returns, so I did several things.
I went from holding about 25 different tokens to holding 10 now. More on that in a bit.
I used those funds to buy ETH and BLX. ETH has done crazy-good since then and BLX has beaten BTC handily, although it hasn’t done as well as ETH.
I used some of those funds to set up an arbitrage operation.
The arbitrage operation is why I kept the 11 tokens that I have now. All but a couple are used in an ETH/token pair for arbitrage, and each one of them except for one special case is part of BLX. Why did I do that? I did that because ICONOMI did a better job of picking long-term holds than I did, and in arbitrage the only speculative thing you must do is pick the pairs to trade. My pairs are (No particular order):
I also hold PLU, PLBT, and ART. These two are multi-year holds for me. I have not purchased BTC once since my initial $200, except for a few cases where BTC was the only way to go to/from an altcoin that didn’t trade against ETH yet. Right now I hold about the same 0.3BTC that I held after my first $100 purchase, so I don’t really count it. Looking forward to this year, I am positioning myself as follows:
ETH will still be my core holding. It is the “deepest in the stack” crypto investment that I have. “Deep in the stack” is a programming term that gets at the idea that most software is built on other software. If you just think about your notebook, you have your OS, and programs run on that. But even inside the OS there is a stack. The bottom of your stack is the kernel, and on top of that are the drivers, protocols, and other layers that allow the programs to talk to the OS, the hard drive, the screen, the mouse, your printer, etc. You can change your mouse or printer easily. Changing things deeper in the stack becomes harder and harder. ETH is deep in the crypto stack, so is very hard to dislodge – Around 60 of the top 100 cryptocurrencies by market cap run on top of Ethereum, so getting rid of Ethereum is something that would take a long time to do.
DNT, QTUM, ZRX, and OMG are all, to varying degrees, “deep in the stack” tokens that, once established, will be very hard to dislodge.
That said, I am peeling away some of my holdings into USD right now, because big changes are afoot and they are going to cause market disruptions. I’m going to come right out and admit that this is speculative, but I’m also going to back it up with some non-speculative facts.
The SEC has been sending out hundreds of subpoenas to cryptocurrency organizations over the past 3-4 months. These subpoenas are simply asking for information and nobody has been charged with any crimes or misdoings, but it is clear that the SEC is getting together information so that they can begin to regulate cryptoland. When that happens, other countries will follow, and that means:
Some tokens will be deemed outright scams and people will be prosecuted.
Some tokens will be deemed securities and will be regulated.
Some tokens will not be deemed scams or securities and will continue as they have.
Looking at this, it is clear to me that the tokens that escape prosecution and regulation should do better, but the short-term impact will be brutal and ugly. It would not surprise me at all to see a 50% drop in overall market cap within Q1-Q2, with Q1 being more likely.
Cryptoland has always been a bit nuts, but it is more nuts now than I have ever seen it. Back in 2011-2014 it was a freaks-n-geeks show where people were all about the technology and I would sit around for a 3-day weekend installing a *nix VM on my Windows machine so that I could compile the most recent source and run a CUDA SHA-256 routine rather than thrash my CPU. If that doesn’t make sense to you, you wouldn’t have even thought about being involved.
Now, people see Bitcoin advertisements in their Facebook feed and think “I gotta get on the BTC train!” before going to Coinbase and buying some with a credit card. They don’t know anything about crypto, and they are getting eaten alive – It is no coincidence that BTC peaked after the Thanksgiving holidays when people sat around the table and Janice got Uncle Mike and Cousin Bob all excited as she talked about going to Cancun for Christmas because of her crypto winnings. Huge amounts of fiat got transferred from newbies to BTC whales during this period, and once the whales were done, BTC had dropped from $20,000 to $12,000. It’s now back at $15,000, but for people who bought at a higher level, this sucks. As a result many have moved from BTC to ETH, with the single biggest money flow in crypto in December being the BTC à ETH flow. As a result, it’s no coincidence that ETH is at all-time highs now. The thing is, though, that even most people that moved from BTC to ETH really have no idea what they are doing. They are acting on buzzwords and emotion. They are speculators and are going to get crushed.
The stock market is quite high right now, but people are starting to worry that it is too high and that we are going to enter into a period of inflation again. This has caused gold to go up a lot the last quarter and is likely also responsible a bit for the rise in cryptos. If this view is correct, then cryptos stay stronger than if that pressure wasn’t there. If wrong, then cryptos will swing down as money exits cryptoland for more traditional markets.
I am spending most of my time and money on the arbitrage effort. The nice thing about arbitrage is that it works as the markets go up, and it works as the markets go down. When markets are too volatile, however, arbitrage can get very messy and dangerous, with each trade generating a loss instead of a profit, so I am working right now to tune the algorithms to take into account rate-of-change and add in some circuit breaker triggers. Once this is done I will expand those operations.
I am getting much more serious about systems security.
I have a Nano Ledger and recommend that anyone with >$1000 of crypto have one. The Trezor is also supposed to be good, but I haven’t used it.
I will set up a dedicated *nix notebook that is used for nothing except my crypto work. All it takes is one keylogger to get on your PC/Mac and your crypto is gone. What is on your Nano Ledger will be OK, but they will sweep out your exchange account or Coinbase account faster than you can type. A standard Linux installation with Chrome and nothing else is as about as secure as you can get in the civilian world.
If you don’t use LastPass or a similar password manager yet, you need to do that. Your password to LastPass should be at least 16 characters long and should not have a recognizable English word in it. If you think that “Iluvu4evah” is a secure password, you’re wrong.
Hackers know that “4”=”for” and “u”=”you”. Writing a script to substitute those in is trivial if they want to write the script, but it’s much easier for them to download one of the many, many programs out there that already do this.
If your password contains any string of numbers from anything that can be associated with you at any time in your life, it is insecure. Take those numbers out of the character count because they are an insignificant barrier to cracking your account.
The good news is that you probably won’t be targeted, but if you ever mention online that you are doing anything significant in crypto, that chance increased enormously.
*Never* talk with *anyone* about how much you have in crypto. You’ll notice that I haven’t here. There is no reason to tell even a family member how much you have unless you are sharing a tax form. Sure, you may trust them, but all it takes if for someone to overhead someone else mention at a party that a relative got into crypto a long time ago and made a bunch of money. That person can also then be subjected to the $10 hack and force you to send all your crypto to them.
Your password to LastPass (Or equivalent.) should look something like this -> 6k0jQMoziX&D#4W8
Yes, it’s a headache. Imagine your headache, though, were you to open your account one day and find all of your money gone.
Looking at my notes, I have two other things that I wanted to work into this email that I didn’t get to, so here they are:
Just like with free apps and other software, if you are getting something of value and you didn’t pay anything for it, you need to ask why this is. With apps, the phrase is “If you didn’t pay for the product, you are the product”, and this works for things such as pump groups, tips, and even technical analysis. Here’s how I see it.
Technical analysis (TA) is something that has been argued about for longer than I’ve been alive, but I think that it falls into the same boat. In short, TA argues that there are patterns in trading that can be read and acted upon to signal when one must buy or sell. It has been used forever in the stock and foreign exchange markets, and people use it in crypto as well. Let’s break down these assumptions a bit.
i. First, if crypto were like the stock or forex markets we’d all be happy with 5-7% gains per year rather than easily seeing that in a day. For TA to work the same way in crypto as it does in stocks and foreign exchange, the signals would have to be *much* stronger and faster-reacting than they work in the traditional market, but people use them in exactly the same way. ii. Another area where crypto is very different than the stock and forex markets centers around market efficiency theory. This theory says that markets are efficient and that the price reflects all the available information at any given time. This is why gold in New York is similar in price to gold in London or Shanghai, and why arbitrage margins are easily <0.1% in those markets compared to cryptoland where I can easily get 10x that. Crypto simply has too much speculation and not enough professional traders in it yet to operate as an efficient market. That fundamentally changes the way that the market behaves and should make any TA patterns from traditional markets irrelevant in crypto. iii. There are services, both free and paid that claim to put out signals based on TA for when one should buy and sell. If you think for even a second that they are not front-running (Placing orders ahead of yours to profit.) you and the other people using the service, you’re naïve. iv. Likewise, if you don’t think that there are people that have but together computerized systems to get ahead of people doing manual TA, you’re naïve. The guys that I have programming my arbitrage bots have offered to build me a TA bot and set up a service to sell signals once our position is taken. I said no, but I am sure that they will do it themselves or sell that to someone else. Basically they look at TA as a tip machine where when a certain pattern is seen, people act on that “tip”. They use software to see that “tip” faster and take a position on it so that when slower participants come in they either have to sell lower or buy higher than the TA bot did. Remember, if you are getting a tip for free, you’re the product. In TA I see a system when people are all acting on free preset “tips” and getting played by the more sophisticated market participants. Again, you have to beat that Wall Street monkey.
If you still don’t agree that TA is bogus, think about it this way: If TA was real, Wall Street would have figured it out decades ago and we would have TA funds that would be beating the market. We don’t.
If you still don’t agree that TA is bogus and that its real and well, proven, then you must think that all smart traders use them. Now follow that logic forward and think about what would happen if every smart trader pushing big money followed TA. The signals would only last for a split second and would then be overwhelmed by people acting on them, making them impossible to leverage. This is essentially what the efficient market theory postulates for all information, including TA.
OK, the one last item. Read this weekly newsletter – You can sign up at the bottom. It is free, so they’re selling something, right? 😉 From what I can tell, though, Evan is a straight-up guy who posts links and almost zero editorial comments. Happy 2018.
I recommended this trade in Copy My Trades (damonverial.com). I'll post it below to give you an idea of when and why I make a long call play before earnings: Damon here. Today is Black Friday, which means the market stops trading at 1pm. That’s fine, because we aren’t getting in on a specifically timed play. I hope you enjoyed Thanksgiving, by the way. Let’s get started. I’m looking to take a long position into earnings on TIF. I could write an in-depth earnings analysis here, and I just might do so in Exposing Earning. But you guys get the first peek into my basic thesis before the company reports on Monday; here it is, in a somewhat scatterbrained organization: SIG, another jewelry company recently reported a beat, suggesting a bullishness in this sector. TIF is a rarity in the jewelry market in that it is the only well-known US brand. The advantage of it being a US company that primarily makes its profit in the US is not having to deal with Forex issues; a strong dollar does not hurt TIF so much. Fundamentally, we should not predict any surprises in margins or growth. EPS growth has been negative for the past six quarters. That might change this quarter, and if it does, it will be taken as a sign of growth turnaround. We are not banking on that, but it’s a good catalyst. TIF is going to be presenting forward guidance on its FQ4 during this quarter’s earnings. FQ4 is TIF’s best quarter and the main profit-driver of the company. Guidance should be strong. Why? For one, retail sales and spending are picking back up in the US, specifically in the luxury market. But of more interest to TIF investors recently is its flagship store, which brings in 30% of TIF’s sales and 10% of its profits. This store is located right next to the Trump Tower and has been the focus of concerned, nervous TIF investors. Are the nearby protests reducing sales? Is the red tape preventing customers from entering the store? If you search the news quickly, the answers seem to be “yes.” But how much of that news is real and how much of it is part of a lingering “blame Trump” mentality in the liberal media? Others have reported unobstructed entrances to the store and strong foot traffic. This is the typical overreaction you get when an easily understood news item can be interpreted by investors. Overall, if you limit the supply of a luxury item or raise the barriers to obtaining it, you make it more enticing, fueling demand. It’s an abstract concept, certainly moreso than: “Trump president; neighboring doors hard to open; Trump bad; Chinese tourist scared, no buy jewelry; TIF stock down; my aunt said Apple computers are easy to use so we should buy Apple stock…” …low-level thinking for low-level traders and investors. Ignore the news, at least on the surface, please. This is TIF’s strong season. And it covers earnings. The probability that TIF rises on a beat is nearly 100%; the probability that TIF rises on a miss is nearly 50%. The statistics are on our side regardless of last quarter, which I believe will be good anyhow. The focus is guidance. Management will likely point to everything I just pointed to above: strengthening sales, a possible turnaround in EPS on the way, and a positive spin on the Trump presidency/neighborhood. If TIF is treated as a luxury stock, it is fairly valued. If it is treated as a retail stock it is undervalued. Either way, this does not put the risk profile against us; rather, it works in our favor, especially with options. Today will be our last day to open this trade, and as evidenced by Wedneday, many are already buying last-minute. We will too. Here is our play: Buy TIF Dec16 $75 call This is an at-the-money call that maximizes our gamma – i.e., we gain the best nonlinear risk/reward profile possible with a long call at this strike. Because TIF is a “reverter” after earnings, it dips a bit after a rally and rises a bit after a fall. We can regain ground if we are wrong, but we should sell immediately if we are right. Why a pure long call? Simply because options are fairly valued on TIF right now. No need to overcomplicate things, especially seeing as I get follow-up emails every time I send out a complex options strategy; we only have a few hours to open this trade, so we shouldn’t be racking our brains with the reasoning for the strategy. That’s it for today. Happy trading.
Please find our updated trading schedule and general information for the Thanksgiving Day Holiday on Thursday November 26th, 2020 & Friday November 27th, 2020. All times mentioned below are Platform time( GMT +2) Precious Metals. Spot Energies. CFD. Soft Commodity Futures. Equities. Bond Futures. Energy Futures. Indices Futures Please note the below upcoming USA Thanksgiving Holiday trading schedule for Instruments on our SPA and SFL feed on 22nd and 23rd of November, 2018. Symbol Thursday 22th Thanksgiving Friday 23th Day After Thanksgiving . Forex Normal Hours Normal Hours Forex market is the market which is opened 24 hours a day, it never closes because currencies are on high demand. Forex market closes only during public holidays like Thanksgiving Day, Christmas Day, New Year’s Eve etc. Forex market does not include any specific or central location for trading; it is traded via different electronic communication networks or via phones by participants. Forex Holidays 2020. If you’re trading on Forex (Stocks), it’s important to know when Forex weekends and National holidays occur. Banks (and forex brokers) would not have full services and benefits. Mostly brokers are also not available on holidays. On Forex holidays you see low liquidity on market. But after the market opening, activity ... Thanksgiving 14.10.2019 Japan JPY, CFD Health and Sports Day 28.10.2019 New Zealand NZD Labor Day 31.10.2019 Germany EUR, CFD Reformation Day 03.11.2019 - 04.11.2019 Japan JPY, CFD Culture Day 04.11.2019 Russia RUB Unity Day 23.11.2019 Japan JPY, CFD Labour Thanksgiving Day 28.11.2019 - 29.11.2019 USA ... Forex Market Hours. Forex Trading is available 24 hours a day from 5:00pm ET Sunday through 5:00pm ET on Friday, including most U.S. holidays. Please be advised of the potential for illiquid market conditions particularly at the open of the trading week. These conditions may result in wider spreads for some currency pairs based on market liquidity. Spot Gold and Silver Market Hours. Spot gold ... HotForex, Forex & Stock Market Hours on ThanksGiving 24 - 25th Nov on MT4. The full list of trading hours for ThanksGiving Holidays. Do you live in South Africa? Then please go to HotForex ZA (South Africa) main introduction page. Please note that due to ThanksGiving Holiday in 24th & 25th of November, there will be changes to trading hours of several financial instruments on MT4. Please find ...
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