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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!
Finding Trading Edges: Where to Get High R:R trades and Profit Potential of Them.
TL;DR - I will try and flip an account from $50 or less to $1,000 over 2019. I will post all my account details so my strategy can be seen/copied. I will do this using only three or four trading setups. All of which are simple enough to learn. I will start trading on 10th January. ---- As I see it there are two mains ways to understand how to make money in the markets. The first is to know what the biggest winners in the markets are doing and duplicating what they do. This is hard. Most of the biggest players will not publicly tell people what they are doing. You need to be able to kinda slide in with them and see if you can pick up some info. Not suitable for most people, takes a lot of networking and even then you have to be able to make the correct inferences. Another way is to know the most common trades of losing traders and then be on the other side of their common mistakes. This is usually far easier, usually everyone knows the mind of a losing trader. I learned about what losing traders do every day by being one of them for many years. I noticed I had an some sort of affinity for buying at the very top of moves and selling at the very bottom. This sucked, however, is was obvious there was winning trades on the other side of what I was doing and the adjustments to be a good trader were small (albeit, tricky). Thus began the study for entries and maximum risk:reward. See, there have been times I have bought aiming for a 10 pip scalps and hit 100 pips stops loss. Hell, there have been times I was going for 5 pips and hit 100 stop out. This can seem discouraging, but it does mean there must be 1:10 risk:reward pay-off on the other side of these mistakes, and they were mistakes. If you repeatedly enter and exit at the wrong times, you are making mistakes and probably the same ones over and over again. The market is tricking you! There are specific ways in which price moves that compel people to make these mistakes (I won’t go into this in this post, because it takes too long and this is going to be a long post anyway, but a lot of this is FOMO). Making mistakes is okay. In fact, as I see it, making mistakes is an essential part of becoming an expert. Making a mistake enough times to understand intrinsically why it is a mistake and then make the required adjustments. Understanding at a deep level why you trade the way you do and why others make the mistakes they do, is an important part of becoming an expert in your chosen area of focus. I could talk more on these concepts, but to keep the length of the post down, I will crack on to actual examples of trades I look for. Here are my three main criteria. I am looking for tops/bottoms of moves (edge entries). I am looking for 1:3 RR or more potential pay-offs. My strategy assumes that retail trades will lose most of the time. This seems a fair enough assumption. Without meaning to sound too crass about it, smart money will beat dumb money most of the time if the game is base on money. They just will. So to summarize, I am looking for the points newbies get trapped in bad positions entering into moves too late. From these areas, I am looking for high RR entries. Setup Examples. I call this one the “Lightning Bolt correction”, but it is most commonly referred to as a “two leg correction”. I call it a “Lightning Bolt correction” because it looks a bit like one, and it zaps you. If you get it wrong. https://preview.redd.it/t4whwijse2721.png?width=1326&format=png&auto=webp&s=c9050529c6e2472a3ff9f8e7137bd4a3ee5554cc Once I see price making the first sell-off move and then begin to rally towards the highs again, I am waiting for a washout spike low. The common trades mistakes I am trading against here is them being too eager to buy into the trend too early and for the to get stopped out/reverse position when it looks like it is making another bearish breakout. Right at that point they panic … literally one candle under there is where I want to be getting in. I want to be buying their stop loss, essentially. “Oh, you don’t want that ...okay, I will have that!” I need a precise entry. I want to use tiny stops (for big RR) so I need to be cute with entries. For this, I need entry rules. Not just arbitrarily buying the spike out. There are a few moving parts to this that are outside the scope of this post but one of my mains ways is using a fibs extension and looking for reversals just after the 1.61% level. How to draw the fibs is something else that is outside the scope of this but for one simple rule, they can be drawn on the failed new high leg. https://preview.redd.it/2cd682kve2721.png?width=536&format=png&auto=webp&s=f4d081c9faff49d0976f9ffab260aaed2b570309 I am looking for a few specific things for a prime setup. Firstly, I am looking for the false hope candles, the ones that look like they will reverse the market and let those buying too early get out break-even or even at profit. In this case, you can see the hammer and engulfing candle off the 127 level, then it spikes low in that “stop-hunt” sort of style. Secondly I want to see it trading just past my entry level (161 ext). This rule has come from nothing other than sheer volume. The amount of times I’ve been stopped out by 1 pip by that little sly final low has gave birth to this rule. I am looking for the market to trade under support in a manner that looks like a new strong breakout. When I see this, I am looking to get in with tiny stops, right under the lows. I will also be using smaller charts at this time and looking for reversal clusters of candles. Things like dojis, inverted hammers etc. These are great for sticking stops under. Important note, when the lightning bolt correction fails to be a good entry, I expect to see another two legs down. I may look to sell into this area sometimes, and also be looking for buying on another couple legs down. It is important to note, though, when this does not work out, I expect there to be continued momentum that is enough to stop out and reasonable stop level for my entry. Which is why I want to cut quick. If a 10 pips stop will hit, usually a 30 pips stop will too. Bin it and look for the next opportunity at better RR. https://preview.redd.it/mhkgy35ze2721.png?width=1155&format=png&auto=webp&s=a18278b85b10278603e5c9c80eb98df3e6878232 Another setup I am watching for is harmonic patterns, and I am using these as a multi-purpose indicator. When I see potentially harmonic patterns forming, I am using their completion level as take profits, I do not want to try and run though reversal patterns I can see forming hours ahead of time. I also use them for entering (similar rules of looking for specific entry criteria for small stops). Finally, I use them as a continuation pattern. If the harmonic pattern runs past the area it may have reversed from, there is a high probability that the market will continue to trend and very basic trend following strategies work well. I learned this from being too stubborn sticking with what I thought were harmonic reversals only to be ran over by a trend (seriously, everything I know I know from how it used to make me lose). https://preview.redd.it/1ytz2431f2721.png?width=1322&format=png&auto=webp&s=983a7f2a91f9195004ad8a2aa2bb9d4d6f128937 A method of spotting these sorts of M/W harmonics is they tend to form after a second spike out leg never formed. When this happens, it gives me a really good idea of where my profit targets should be and where my next big breakout level is. It is worth noting, larger harmonics using have small harmonics inside them (on lower time-frames) and this can be used for dialling in optimum entries. I also use harmonics far more extensively in ranging markets. Where they tend to have higher win rates. Next setup is the good old fashioned double bottoms/double top/one tick trap sort of setup. This comes in when the market is highly over extended. It has a small sell-off and rallies back to the highs before having a much larger sell-off. This is a more risky trade in that it sells into what looks like trending momentum and can be stopped out more. However, it also pays a high RR when it works, allowing for it to be ran at reduced risk and still be highly profitable when it comes through. https://preview.redd.it/1bx83776f2721.png?width=587&format=png&auto=webp&s=2c76c3085598ae70f4142d26c46c8d6e9b1c2881 From these sorts of moves, I am always looking for a follow up buy if it forms a lightning bolt sort of setup. All of these setups always offer 1:3 or better RR. If they do not, you are doing it wrong (and it will be your stop placement that is wrong). This is not to say the target is always 1:3+, sometimes it is best to lock in profits with training stops. It just means that every time you enter, you can potentially have a trade that runs for many times more than you risked. 1:10 RR can be hit in these sorts of setups sometimes. Paying you 20% for 2% risked. I want to really stress here that what I am doing is trading against small traders mistakes. I am not trying to “beat the market maker”. I am not trying to reverse engineer J.P Morgan’s black boxes. I do not think I am smart enough to gain a worthwhile edge over these traders. They have more money, they have more data, they have better softwares … they are stronger. Me trying to “beat the market maker” is like me trying to beat up Mike Tyson. I might be able to kick him in the balls and feel smug for a few seconds. However, when he gets up, he is still Tyson and I am still me. I am still going to be pummeled. I’ve seen some people that were fairly bright people going into training courses and coming out dumb as shit. Thinking they somehow are now going to dominate Goldman Sachs because they learned a chart pattern. Get a grip. For real, get a fucking grip. These buzz phrases are marketeering. Realististically, if you want to win in the markets, you need to have an edge over somebody. I don’t have edges on the banks. If I could find one, they’d take it away from me. Edges work on inefficiencies in what others do that you can spot and they can not. I do not expect to out-think a banks analysis team. I know for damn sure I can out-think a version of me from 5 years ago … and I know there are enough of them in the markets. I look to trade against them. I just look to protect myself from the larger players so they can only hurt me in limited ways. Rather than letting them corner me and beat me to a pulp (in the form of me watching $1,000 drop off my equity because I moved a stop or something), I just let them kick me in the butt as I run away. It hurts a little, but I will be over it soon. I believe using these principles, these three simple enough edge entry setups, selectiveness (remembering you are trading against the areas people make mistakes, wait for they areas) and measured aggression a person can make impressive compounded gains over a year. I will attempt to demonstrate this by taking an account of under $100 to over $1,000 in a year. I will use max 10% on risk on a position, the risk will scale down as the account size increases. In most cases, 5% risk per trade will be used, so I will be going for 10-20% or so profits. I will be looking only for prime opportunities, so few trades but hard hitting ones when I take them. I will start trading around the 10th January. Set remind me if you want to follow along. I will also post my investor login details, so you can see the trades in my account in real time. Letting you see when I place my orders and how I manage running positions. I also think these same principles can be tweaked in such a way it is possible to flip $50 or so into $1,000 in under a month. I’ve done $10 to $1,000 in three days before. This is far more complex in trade management, though. Making it hard to explain/understand and un-viable for many people to copy (it hedges, does not comply with FIFO, needs 1:500 leverage and also needs spreads under half a pip on EURUSD - not everyone can access all they things). I see all too often people act as if this can’t be done and everyone saying it is lying to sell you something. I do not sell signals. I do not sell training. I have no dog in this fight, I am just saying it can be done. There are people who do it. If you dismiss it as impossible; you will never be one of them. If I try this 10 times with $50, I probably am more likely to make $1,000 ($500 profit) in a couple months than standard ideas would double $500 - I think I have better RR, even though I may go bust 5 or more times. I may also try to demonstrate this, but it is kinda just show-boating, quite honestly. When it works, it looks cool. When it does not, I can go bust in a single day (see example https://www.fxblue.com/users/redditmicroflip). So I may or may not try and demonstrate this. All this is, is just taking good basic concepts and applying accelerated risk tactics to them and hitting a winning streak (of far less trades than you may think). Once you have good entries and RR optimization in place - there really is no reason why you can not scale these up to do what may people call impossible (without even trying it). I know there are a lot of people who do not think these things are possible and tend to just troll whenever people talk about these things. There used to be a time when I’d try to explain why I thought the way I did … before I noticed they only cared about telling me why they were right and discussion was pointless. Therefore, when it comes to replies, I will reply to all comments that ask me a question regarding why I think this can be done, or why I done something that I done. If you are commenting just to tell me all the reasons you think I am wrong and you are right, I will probably not reply. I may well consider your points if they are good ones. I just do not entering into discussions with people who already know everything; it serves no purpose. Edit: Addition. I want to talk a bit more about using higher percentage of risk than usual. Firstly, let me say that there are good reasons for risk caps that people often cite as “musts”. There are reasons why 2% is considered optimum for a lot of strategies and there are reasons drawing down too much is a really bad thing. Please do not be ignorant of this. Please do not assume I am, either. In previous work I done, I was selecting trading strategies that could be used for investment. When doing this, my only concern was drawdown metrics. These are essential for professional money management and they are also essential for personal long-term success in trading. So please do not think I have not thought of these sorts of things Many of the reasons people say these things can’t work are basic 101 stuff anyone even remotely committed to learning about trading learns in their first 6 months. Trust me, I have thought about these concepts. I just never stopped thinking when I found out what public consensus was. While these 101 rules make a lot of sense, it does not take away from the fact there are other betting strategies, and if you can know the approximate win rate and pay-off of trades, you can have other ways of deriving optimal bet sizes (risk per trade). Using Kelly Criterion, for example, if the pay-off is 1:3 and there is a 75% chance of winning, the optimal bet size is 62.5%. It would be a viable (high risk) strategy to have extremely filtered conditions that looked for just one perfect set up a month, makingover 150% if it was successful. Let’s do some math on if you can pull that off three months in a row (using 150% gain, for easy math). Start $100. Month two starts $250. Month three $625. Month three ends $1,562. You have won three trades. Can you win three trades in a row under these conditions? I don’t know … but don’t assume no-one can. This is extremely high risk, let’s scale it down to meet somewhere in the middle of the extremes. Let’s look at 10%. Same thing, 10% risk looking for ideal opportunities. Maybe trading once every week or so. 30% pay-off is you win. Let’s be realistic here, a lot of strategies can drawdown 10% using low risk without actually having had that good a chance to generate 30% gains in the trades it took to do so. It could be argued that trading seldomly but taking 5* the risk your “supposed” to take can be more risk efficient than many strategies people are using. I am not saying that you should be doing these things with tens of thousands of dollars. I am not saying you should do these things as long term strategies. What I am saying is do not dismiss things out of hand just because they buck the “common knowns”. There are ways you can use more aggressive trading tactics to turn small sums of money into they $1,000s of dollars accounts that you exercise they stringent money management tactics on. With all the above being said, you do have to actually understand to what extent you have an edge doing what you are doing. To do this, you should be using standard sorts of risks. Get the basics in place, just do not think you have to always be basic. Once you have good basics in place and actually make a bit of money, you can section off profits for higher risk versions of strategies. The basic concepts of money management are golden. For longevity and large funds; learned them and use them! Just don’t forget to think for yourself once you have done that. Update - Okay, I have thought this through a bit more and decided I don't want to post my live account investor login, because it has my full name and I do not know who any of you are. Instead, for copying/observing, I will give demo account login (since I can choose any name for a demo). I will also copy onto a live account and have that tracked via Myfxbook. I will do two versions. One will be FIFO compliant. It will trade only single trade positions. The other will not be FIFO compliant, it will open trades in batches. I will link up live account in a week or so. For now, if anyone wants to do BETA testing with the copy trader, you can do so with the following details (this is the non-FIFO compliant version). Account tracking/copying details. Low-Medium risk. IC Markets MT4 Account number: 10307003 Investor PW:lGdMaRe6 Server: Demo:01 (Not FIFO compliant) Valid and Invalid Complaints. There are a few things that can pop up in copy trading. I am not a n00b when it comes to this, so I can somewhat forecast what these will be. I can kinda predict what sort of comments there may be. Some of these are valid points that if you raise I should (and will) reply to. Some are things outside of the scope of things I can influence, and as such, there is no point in me replying to. I will just cover them all here the one time. Valid complains are if I do something dumb or dramatically outside of the strategy I have laid out here. won't do these, if I do, you can pitchfork ----E Examples; “Oi, idiot! You opened a trade randomly on a news spike. I got slipped 20 pips and it was a shit entry”. Perfectly valid complaint. “Why did you open a trade during swaps hours when the spread was 30 pips?” Also valid. “You left huge trades open running into the weekend and now I have serious gap paranoia!” Definitely valid. These are examples of me doing dumb stuff. If I do dumb stuff, it is fair enough people say things amounting to “Yo, that was dumb stuff”. Invalid Complains; “You bought EURUSD when it was clearly a sell!!!!” Okay … you sell. No-one is asking you to copy my trades. I am not trading your strategy. Different positions make a market. “You opened a position too big and I lost X%”. No. Na uh. You copied a position too big. If you are using a trade copier, you can set maximum risk. If you neglect to do this, you are taking 100% risk. You have no valid compliant for losing. The act of copying and setting the risk settings is you selecting your risk. I am not responsible for your risk. I accept absolutely no liability for any losses. *Suggested fix. Refer to risk control in copy trading software “You lost X trades in a row at X% so I lost too much”. Nope. You copied. See above. Anything relating to losing too much in trades (placed in liquid/standard market conditions) is entirely you. I can lose my money. Only you can set it up so you can lose yours. I do not have access to your account. Only mine. *Suggested fix. Refer to risk control in copy trading software “Price keeps trading close to the pending limit orders but not filling. Your account shows profits, but mine is not getting them”. This is brokerage. I have no control over this. I use a strategy that aims for precision, and that means a pip here and there in brokerage spreads can make a difference. I am trading to profit from my trading conditions. I do not know, so can not account for, yours. * Suggested fix. Compare the spread on your broker with the spread on mine. Adjust your orders accordingly. Buy limit orders will need to move up a little. Sell limit orders should not need adjusted. “I got stopped out right before the market turned, I have a loss but your account shows a profit”. This is brokerage. I have no control over this. I use a strategy that aims for precision, and that means a pip here and there differences in brokerage spreads can make a difference. I am trading to profit from my trading conditions. I do not know, so can not account for, yours. ** Suggested fix. Compare the spread on your broker with the spread on mine. Adjust your orders accordingly. Stop losses on sell orders will need to move up a bit. Stops on buy orders will be fine. “Your trade got stopped out right before the market turned, if it was one more pip in the stop, it would have been a winner!!!” Yeah. This happens. This is where the “risk” part of “risk:reward” comes in. “Price traded close to take profit, yours filled but mines never”. This is brokerage. I have no control over this. I use a strategy that aims for precision, and that means a pip here and there differences in brokerage spreads can make a difference. I am trading to profit from my trading conditions. I do not know, so can not account for, yours. (Side note, this should not be an issue since when my trade closes, it should ping your account to close, too. You might get a couple less pips). *** Suggested fix. Compare the spread on your broker with the spread on mine. Adjust your orders accordingly. Take profits on buys will need to move up a bit. Sell take profits will be fine. “My brokers spread jumped to 20 during the New York session so the open trade made a bigger loss than it should”. Your broker might just suck if this happens. This is brokerage. I have no control over this. My trades are placed to profit from my brokerage conditions. I do not know, so can not account for yours. Also, if accounting for random spread spikes like this was something I had to do, this strategy would not be a thing. It only works with fair brokerage conditions. *Suggested fix. Do a bit of Googling and find out if you have a horrific broker. If so, fix that! A good search phrase is; “(Broker name) FPA reviews”. “Price hit the stop loss but was going really fast and my stop got slipped X pips”. This is brokerage. I have no control over this. I use a strategy that aims for precision, and that means a pip here and there differences in brokerage spreads can make a difference. I am trading to profit from my trading conditions. I do not know, so can not account for, yours. If my trade also got slipped on the stop, I was slipped using ECN conditions with excellent execution; sometimes slips just happen. I am doing the most I can to prevent them, but it is a fact of liquidity that sometimes we get slipped (slippage can also work in our favor, paying us more than the take profit would have been). “Orders you placed failed to execute on my account because they were too large”. This is brokerage. I have no control over this. Margin requirements vary. I have 1:500 leverage available. I will not always be using it, but I can. If you can’t, this will make a difference. “Your account is making profits trading things my broker does not have” I have a full range of assets to trade with the broker I use. Included Forex, indices, commodities and cryptocurrencies. I may or may not use the extent of these options. I can not account for your brokerage conditions. I think I have covered most of the common ones here. There are some general rules of thumb, though. Basically, if I do something that is dumb and would have a high probability of losing on any broker traded on, this is a valid complain. Anything that pertains to risk taken in standard trading conditions is under your control. Also, anything at all that pertains to brokerage variance there is nothing I can do, other than fully brief you on what to expect up-front. Since I am taking the time to do this, I won’t be a punchbag for anything that happens later pertaining to this. I am not using an elitist broker. You don’t need $50,000 to open an account, it is only $200. It is accessible to most people - brokerage conditions akin to what I am using are absolutely available to anyone in the UK/Europe/Asia (North America, I am not so up on, so can’t say). With the broker I use, and with others. If you do not take the time to make sure you are trading with a good broker, there is nothing I can do about how that affects your trades. I am using an A book broker, if you are using B book; it will almost certainly be worse results. You have bad costs. You are essentially buying from reseller and paying a mark-up. (A/B book AKA ECN/Market maker; learn about this here). My EURUSD spread will typically be 0.02 pips or so, if yours is 1 pip, this is a huge difference. These are typical spreads I am working on. https://preview.redd.it/yc2c4jfpab721.png?width=597&format=png&auto=webp&s=c377686b2485e13171318c9861f42faf325437e1 Check the full range of spreads on Forex, commodities, indices and crypto. Please understand I want nothing from you if you benefit from this, but I am also due you nothing if you lose. My only term of offering this is that people do not moan at me if they lose money. I have been fully upfront saying this is geared towards higher risk. I have provided information and tools for you to take control over this. If I do lose people’s money and I know that, I honestly will feel a bit sad about it. However, if you complain about it, all I will say is “I told you that might happen”, because, I am telling you that might happen. Make clear headed assessments of how much money you can afford to risk, and use these when making your decisions. They are yours to make, and not my responsibility. Update. Crazy Kelly Compounding: $100 - $11,000 in 6 Trades. $100 to $11,000 in 6 trades? Is it a scam? Is it a gamble? … No, it’s maths. Common sense risk disclaimer: Don’t be a dick! Don’t risk money you can’t afford to lose. Do not risk money doing these things until you can show a regular profit on low risk. Let’s talk about Crazy Kelly Compounding (CKC). Kelly criterion is a method for selecting optimal bet sizes if the odds and win rate are known (in other words, once you have worked out how to create and assess your edge). You can Google to learn about it in detail. The formula for Kelly criterion is; ((odds-1) * (percentage estimate)) - (1-percent estimate) / (odds-1) X 100 Now let’s say you can filter down a strategy to have a 80% win rate. It trades very rarely, but it had a very high success rate when it does. Let’s say you get 1:2 RR on that trade. Kelly would give you an optimum bet size of about 60% here. So if you win, you win 120%. Losing three trades in a row will bust you. You can still recover from anything less than that, fairly easily with a couple winning trades. This is where CKC comes in. What if you could string some of these wins together, compounding the gains (so you were risking 60% each time)? What if you could pull off 6 trades in a row doing this? Here is the math; https://preview.redd.it/u3u6teqd7c721.png?width=606&format=png&auto=webp&s=3b958747b37b68ec2a769a8368b5cbebfe0e97ff This shows years, substitute years for trades. 6 trades returns $11,338! This can be done. The question really is if you are able to dial in good enough entries, filter out enough sub-par trades and have the guts to pull the trigger when the time is right. Obviously you need to be willing to take the hit, obviously that hit gets bigger each time you go for it, but the reward to risk ratio is pretty decent if you can afford to lose the money. We could maybe set something up to do this on cent brokers. So people can do it literally risking a couple dollars. I’d have to check to see if there was suitable spreads etc offered on them, though. They can be kinda icky. Now listen, I am serious … don’t be a dick. Don’t rush out next week trying to retire by the weekend. What I am showing you is the EXTRA rewards that come with being able to produce good solid results and being able to section off some money for high risk “all or nothing” attempts; using your proven strategies. I am not saying anyone can open 6 trades and make $11,000 … that is rather improbable. What I am saying is once you can get the strategy side right, and you can know your numbers; then you can use the numbers to see where the limits actually are, how fast your strategy can really go. This CKC concept is not intended to inspire you to be reckless in trading, it is intended to inspire you to put focus on learning the core skills I am telling you that are behind being able to do this.
Looking back in recent history, it seems as though big investors and financial organizations are changing their attitudes towards Bitcoin and altcoins. The media coverage worldwide illuminated the vast returns being had in the cryptocurrency markets, with many coins up over 100x since their conception. This certainly has garnered the attention from both legacy and newcomer investors. Currently, everyone is waiting to see if cryptocurrencies can continue on their path to new all time highs. 2017 turned out to be a whirlwind year, with most cryptocurrencies soaring to new all time highs at the end of 2017 and early 2018. The media coverage of cryptocurrencies was nonstop, with news reports on financial programs almost daily. In addition, many movies and tv shows mentioned cryptocurrency, including the technology oriented show “Silicon Valley.” So far, 2018 has seen a vast pullback in the cryptocurrency markets. Many of the smaller altcoins are down over 90% with Bitcoin, the crypto leader, still being down over 60% from all time highs. Even with the overall market pullback, many investors are still very bullish on cryptocurrencies going into 2019. Many big name institutions are jumping head first into crypto, with NYSE announcing a new crypto exchange, BAAKT. Also Fidelity has announced a crypto support platform for their customers. Even legendary Ivy league university Yale has announced a new 400 million dollar investment fund geared towards cryptocurrency. With so much bullish news adding up rapidly, almost everyone seems to expect a very profitable year for crypto leading into 2019. While Bitcoin is still currently the market leader there are also some big name altcoins that expect 2019 to be a huge year for them. The Altcoin Hierarchy Before investing in the crypto market, let us go through the basic classes of cryptocurrencies that exist in the market. While every class has the potential to have impressive returns, some coins have more impressive use cases and concepts, In addition to more qualified and funded development teams. Simply put, not all altcoins were created the same. The Penny Stocks of Crypto These are the bottom tier altcoins that could possibly become worthless in the near future. They operate much like penny stocks, advertising big promises of ‘guaranteed gains’. Eventually, many fail to offer a fraction of their promised returns. One of the ways to identify these is to look at their team members, their past experiences, objectives of the project, probability of mass adoption, actual use of the coins and many more. The reasons for their failure is usually because of unwillingness to work for the vision they once promised in the first place, bad wealth management, inclusion of scammers in their team, unrealistic expectation from the project and also making money via pump and dump schemes. Some of these coins are Trumpcoin, Russia Coin and Verge. Average Coins According to the ‘coinmarketcap’ website, there are currently more than 2000 cryptocurrencies listed on their website. Among those, there are around 500 of them that can be considered in this ‘average’ category. These are the coins that do have a purpose/objective to work on but fail to maintain a good development team. They and their coins don’t really have any kind of purpose in the crypto market and fail to finalize any kind of legitimate deals and partnerships with good investors. This makes their performance very limited as compared to other altcoins in the market. Some of these coins are Deep Brain Chain, Funfair, Decred, Navcoin, Populous, Cryptonex. Good Coins There are around 500 of such good coins in the market that do offer a good objective for the project, a solid team with good experience to execute such tasks, a good marketing strategy to reach out to masses to share their ideas and quality contacts to make some good partnerships in the market. The only reason why they are only classified as ‘good coins’ is due to the lack of uniqueness that the other ‘very good coins’ offer. They don’t really have that ‘point of parity’ in their project/product that separates them from their counterparts. Some of these coins are NEM, Stratis, Monero, and BAT. Very Good Coins There are around 100 such ‘very good coins’ in the market. Their objectives are well defined with a solid team to execute their tasks perfectly. Along with that, their marketing teams are also well-qualified to make their ideas reach to the masses. Because of such a wonderful blend, they are able to make better and strong partnerships with a number of good companies. What separates them from the ‘Good Coins’ category is their USPs (Unique Selling Points). They are unique in what they do and that’s what makes the difference. Such coins are NEO, Stellar, Cardano, Ripple Top Tier Cryptocurrencies These are the top tier coins that provide the best functionalities. They have real-world usage, objectives to solve a real-world problem, strong fundamental teams to execute the mission of the project, marketing teams to spread the ‘idea’ and collaboration with a number of media channels to gain early investors. Also, due to a good PR team, they are able to make a very strong partnership with a lot of Fortune 500 companies that give them an extra edge over rest of the projects in the market. Some of these coins are VeChain, Ethereum, Bitcoin, IOTA, Icon, EOS, Kinesis. Promising Projects Going Into the New Year With more than 2000 cryptocurrencies out there in the crypto market, only a couple 100 of them qualify to be a top tier investment. It can be quite the challenge to find a worthy project among the thousands of choices. These next projects are some that show a lot of promise heading into 2019. Always remember the 3’S’ of the investment – Sane, Smart and Sensible. An investor who is sane, smart and sensible will always look into the facts before he invests in any business or project. Kinesis This is one of the most promising upcoming projects in crypto. The broad overview of the coin is to offer an alternate and better evolutionary step beyond the basic monetary and banking system available today. In short, it is a cryptocurrency that is backed by precious metals like gold and silver. According to the CEO of the company, Thomas Coughlin, the Kinesis coin is basically divisible units of allocated gold and silver which you can use as a currency. There will be two stable Kinesis coins in the market backed by Gold and Silver. The stable Kinesis coins backed by Gold will be tagged as KAU and the stable Kinesis coins backed by Silver will be tagged as KAG. These stablecoins backed by the precious metals like Gold and Silver are real game changers as these 2 precious metals are definable stores of value for use in trade and investment in the real-world economies. The Kinesis coin is based on the Bespoke Blockchain Technology, a blockchain network forked off from the Stellar Blockchain Technology in order to suit the requirements of the Kinesis coin. The cryptocurrency project is headed by Thomas Coughlin who is also the CEO of the Kinesis company. He has 15 years experience in the investment, funds management and capital markets. Before being the CEO of the Kinesis company, he held similar positions for the Bullion Capital and TRAC Financial Group as well. Apart from Thomas Coughlin, there are other great members in the team as well. Their team consists of people like: Michael Coughlin, Chief Financial Officer, having 41 years experience as a CPA in the accountancy and financial services professions. Eric Maine, Chief Strategy Officer, having more than 30 years experience in Senior Management in the exchange and financial markets. Ryan Case, Head of Sales & Trading in Kinesis, having extensive experience as Head of sales trading & partnership and also valuable experience in commodity, cryptocurrency, forex and derivative markets. Jai Bifulco, Chief Marketing Officer, having a full-fledged 12 years of experience in award-winning full-stack marketer in Finance. He previously held roles of directors in multiple brokerages, consulting and Fintech sectors. There are more than 30 different team members in this project spanning their roles from The Executive Committee to the Advisory Board to the Operations and Development team. The coins are very limited in number as compared to other cryptocurrencies where the softcap is limited to just 15,000 KVT coins and HardCap is limited to 300,000 KVT coins. Minimum token that one can buy is set to 1 KVT which is equal to $1000. So far, more than 57,000 KVT tokens have been sold which roughly equals to a whopping sum of $57 Million. With such a huge investment already deployed for the development of the project, there are still 30 more days left for the ICO sale period to end. Also, apart from the investments gained, the Kinesis cryptocurrency is also focusing much on the partnerships with the top companies in the industry. These include companies like ABX (Allocated Bullion Exchange), MLG (Blockchain Consulting), Sigma Prime, Etherlabs and Fine Metal Asia Limited. This cryptocurrency is certainly the one to watch out for in 2019. VeChain Broad Overview – In simple layman terminology, Vechain is a supply chain protocol to track logistics inventory. It has successfully implemented blockchain technology in various sectors like agriculture and industries like luxury goods and liquor. They basically strive to solve real-life problems by providing solutions in various industries like: Logistics: In this sector, VeChain implements the blockchain technology to improve the flow of information from one department to another by breaking silos yet maintaining the data privacy of every department. Government: There are more than 111 VeChain nodes deployed worldwide. The municipal governments participate in the VeChain blockchain network as nodes. The VeChain blockchain network offers decentralization and immunity against the data hacking that allows room for transparent information exchange. This indeed improves the efficiency of the municipal governments. The technologies used to track the logistics are: Assigning digital identities to physical stocks that can be stored on the VeChain blockchain network Usage of RFID (Radio Frequency Identification) NFC (Near Field Communication) Proof Of Authority Consensus In-House Temperature Controlled Tracking Quick Response Codes (QR Codes) The future potential of the VeChain cryptocurrency looks quite promising as the coin is signing new partnerships every month or so. Some of its partners are PricewaterhouseCoopers, DNV GL, Renault Group, KUEHNE + NAGEL, D.I.G, China Unicom and the State Tobacco Monopoly Administration of China. Every single company with whom VeChain partnered has millions of customers that will use the VeChain technology embedded in their system. This makes the coin solve real-life problems and have mass adoption. VeChain indeed makes a big difference in the logistics business. However, given the kind of turmoil that the entire cryptomarket is facing where the total market capitalization has fallen from $800 Billion to just around $200 Billion, no one can give any kind of assurance on the returns in your investment in the crypto assets. However, stablecoins like Kinesis has a reward yield system that incentivizes its investors for holding, depositing and also referring new users. Hence, the investors always stay on the benefit side even if the market collapses for a short duration. IOTA In simple terms, IOTA is a cryptocurrency which is designed for the Internet of Things. The cryptocurrency was developed to root a new direction to IoT by establishing a standardization called, ‘Ledger of Everything’ which means that the data exchange between sensor-equipped machines would be enabled to populate IoT. IOTA has the potential to make transactions easy. A basic use case of IOTA can be seen in IOTA enabled vending machines. These machines can dispense the items without involving the associated transaction costs. Some other use cases of IOTA are Reddit Chains etc. Technology Behind IOTA Surprisingly, IOTA does not use the traditional Blockchain technology for its design and development. In fact, a new platform called ‘Tangle Technology’ is being used for IOTA to operate on. The Tangle Technology deploys a mathematical concept called Directed Acyclic Graphs (DAG) which resolves both the scalability and transaction fees issues which we face in blockchain based cryptocurrencies. In IOTA, for a transaction to be valid, each node present in DAG Tangle must approve the previous two transactions occurring at the other node. And adding to a note, this process removes the chances of mining and makes the system fully decentralized. Future Potential Keeping in mind the remarkable result of IOTA, there exists a promising scope for it in the near future in various applications and platforms. IOTA would be standing tall and different in the future world full of cryptocurrencies vulnerable to quantum computers. IOTA has a lot of companies that it is working with. Some of them include Bosch, Volkswagen,Fujitsu, Accenture, Poyry and many more. When viewed from a macro perspective, so far IOTA looks to be fee-less, scalable and fast which makes it next to perfect. However, if you own IOTA, the chances of you liquidating it into fiat currency via a ‘debit card’ and buying something from a grocery store is quite low. In order to fill this gap of actually buying something from the street market and becoming the global currency, Kinesis has introduced its Kinesis Debit Cards that enables the Kinesis token holders to exchange their tokens against FIAT currency and simultaneously buy products from a grocery shop, something which IOTA fails to offer. ICON ICX Broad Overview: ICON is a South Korean based company that develops blockchain technology and accompanies the cryptocurrency called ‘ICX’. ICON is a network framework which has been designed to allow independent blockchains to interact with each other. It allows interconnected blockchain networks to participate in a decentralized system which converges at a central point. Technology: ICX token is built on the Ethereum blockchain network. ICON has developed a loop-chain platform that connects different blockchain communities through the ICON Republic which serves as the governing head for the Federation of other independent blockchain bodies. All the communities are linked to Republic through C-Reps (Community Representatives) which then connects to Nexus. C-Reps functions as the portals to the communities to establish a connection with Nexus. And this way the entire procedure is carried out. Future Scope: It is believed that ICON has plans to provide platforms to financial, security, insurance, healthcare, educational industries which can help them to carry transactions on a single network. Thus, ICON (ICX) can be seen having a good time in the coming days. Also, it has been successful in signing a partnership deal with the tech-giant Samsung where it will be using ICON’s own Chain ID for a new Samsung project called ‘Samsung Pass’. Apart from Samsung, ICON has also signed deals with PORTAL NETWORK & W Foundation. However, it is notable that ICON is built on the Ethereum network and is an ERC20 token. Hence, the transaction speed greatly depends on the Ethereum network. Currently, Ethereum can execute 15 transactions per second which is quite low in terms of what ICON (ICX) is currently aiming for. However, to fill this gap, we have Kinesis Bespoke Technology that offers a whopping speed of 3000 transactions per second. This lightning fast speed keeps the Kinesis token way ahead than ICX token. Enjin Broad Overview The native cryptocurrency of the Enjin Network, the Enjin Coin (popularly known as only ENJ) follows the ERC20 token standard and is used with a smart contract-based blockchain platform. Its typical users include content creators, game developers, and other members of the gaming community, who need to use virtual tokens to manage and trade virtual goods in the gaming world. Technology behind Enjin As an ERC20-compliant token, the ENJ functions in accordance with the rules an Ethereum contract has to implement. It is used on a dedicated platform that is designed to support open-source software development kits (SDKs), applications, plug-ins, and payment gateways. As for its users, they will be able to efficiently participate in developing, launching, managing, and trade content and game-related products on the Enjin Network, without having to deal with the technical complexities. Summary of Potential The ENJ is expected to solve some performance issues in using similar cryptocurrencies on the market today, including payment frauds where goods are not actually delivered, slow transaction processes, lack of ownership of virtual goods, lack of transaction standards, and centralization problems. According to its creators, the ENJ coin, which is based on a blockchain, will create a distributed, trustworthy, and secure framework where transactions can be executed smoothly and quickly with minimal transaction fees. Its autonomous and decentralized system will ensure that all offers and deals will be honored. Conclusion Generally speaking, the Enjin Coin is good. It helps bring the benefits of blockchain to millions of people participating in the virtual goods market. Its creators are working hard to prevent fraud in the gaming world. However, it is still a relatively new project. As such, it is still volatile. This means that you still have to take utmost care and be wise when using it. EOS Broad Overview EOS is considered by many people who are participating in the virtual goods market as one of the best cryptocurrencies to use, supported by a powerful infrastructure for decentralized applications. Basically, the EOS blockchain is used for the development, execution, and hosting of decentralized applications (dApps) that are traded virtually. Technology behind EOS The EOS system is composed of two key components, which are the EOS.IO and the EOS token. As for the former, it functions like a computer’s operating system in managing and controlling the EOS blockchain, with the use of an architecture that enables horizontal and vertical dApps. As for the latter, it is held (instead of spent) by the users to be able to become eligible of building, running, and trading apps, as well as using EOS network resources. While EOS still does not have an official full form, it supports all core functionalities to allow individuals and businesses to create and trade blockchain-based apps. It also runs on a web toolkit for interface development, just like Apple’s App Store and Google Play Store. Summary of Potential While there are already a lot of cryptocurrencies based on Ethereum similar to it, the EOS system focuses on the critical and problematic points of the blockchain. Specifically, it attempts to solve the problems of scalability, speed, and flexibility that often cause transaction processes to slow down, which is a common issue in blockchain-based systems. According to its creators, EOS.IO could also address other problems that come with the ever-increasing size of the dApps ecosystem, such as limited availability of resources, constrained networks, spamming, false transactions, and limited computing power. It is said to be able to support thousands of commercial-scale dApps without hitting performance bottlenecks by using asynchronous communication methodologies and parallel execution across its network. Conclusion The EOS system is very advanced. It is designed to address common problems with standard blockchain-based networks. But like other new cryptocurrency platforms on the virtual market today, it still has some weak points to improve. Also, there is again the exposure to volatility, as users hold the tokens to be eligible to trade virtually. Nebulas Broad overview Nebulas (NAS) is a new generation blockchain and is open for public collaborations for decentralized application (dApp) development. Its adaptability and scalability are the two characteristics that could propel NAS to be one of the top cryptocurrencies, thus giving it enough leverage to compete in the market. Technology behind Nebulas Nebulas is the first crypto running on a 3rd generation blockchain, thus making it the dominant player of the new platform. This makes Nebulas highly flexible and scalable, even giving a good leverage in future-proofing their code. That could help avoid hard forking whenever some issues come up during scaling processes. Summary of potential Adaptability, scalability and search-ability are three of the biggest potential NAS has to offer. With the 3rd generation blockchain it uses, it can allow the adaption of other codes based from Nebulas. This means that other cryptos can adapt to its platform soon enough. Moreover, it can also act as a blockchain search engine. This can let users search particular blockchains based on efficiency and community strength. Finally, its goal to provide fair incentives to Decentralized Application (dApp) developers is something that collaborators could expect. This means that more developers are expected to come, thus strengthening NAS even further. Conclusion Nebulas (NAS) is a promising crypto especially with its adaptability, scalability and search-ability potentials. It can help with the fluidity of crypto into this new generation platform. However, it still lacks the value stability that Kinesis or stablecoins hold. NAS is still unpredictable, unlike Kinesis that backs it value with real gold. Sky Broad overview SkyCoin is a full environment system of blockchain technology, and has the goal of endorsing the actual usage of cryptocurrency. Technology behind Sky Sky has its own algorithm, the Obelisk, which uses the web of trust dynamics to spread influence all throughout the network to come up with a consensus decision. The consensus decision depends on each node, by valuing its influence score. The influence score of each node is determined by the number of network nodes connected to it. This depicts the importance of the node to the network. Aside from the Obelisk, Sky also operates its own cryptocurrency which is SkyCoin, its own ICO platform Fiber, a decentralized social media platform called BBS, and a decentralized messenger called Sky-Messenger. Summary of potential Sky focuses its potential on being a full ecosystem of blockchain technology that encourages actual usage of crypto. Through its unique algorithm which is the Obelisk and some other dApps associated with it, Sky is a promising crypto technology and could be considered as the most complete one as of today. Conclusion Sky, SkyCoin and the Obelisk is definitely a massive platform that could be considered as a full ecosystem of crypto and its related technology. Nonetheless, the SkyCoin depends its value on node influence scores, which could change from time to time as well. This makes Kinesis and Stablecoins still a better choice, especially for investors who want clear investments without hassle. Crypto Predictions for 2019 While 2017 had the masses captivated and investing large amounts of capital, 2018 has seen price drops and sagging hopes. While the returns in 2017 exceeded anyone’s expectations, a strong pullback was predicted by many. Whether or not this bear market continues from here is the real question many investors face today. Bitcoin’s rapid rise and fall exposed many problems, and the developers of the top cryptocurrencies in 2019 took note. When considering your crypto investments for 2019, factor in the following trends we predict will influence investments: More Pullbacks According to the CEO of Vellum Capital, Eric Kovalak, the price of cryptos will reach new lows before they will rebound to new heights. This includes the biggest cryptocurrencies in the market, including Bitcoin. Kovalak believes that it will be priced below $3,500 before it will find its way back up. However, there are many mixed opinions on the current price of BTC, with some arguing the bottom for the crypto markets have already been seen. Due to Bitcoin-based remittances, uncertainty in global economies like Asia, Turkey and Venezuela, and mobile penetration, there will be a surge in interest and the price of the digital currency. A Flood of Institutional Investors Institutional investors have been waiting on the sideline for the ETF to rule in favor of Bitcoin. According to Mike Novogratz, CEO of Galaxy Capital, once the ETF arrives, “institutional fomo’ will start flooding the market.” Another factor is Kinesis, the investment blockchain that provides investors with a safe and reliable alternative. Pegged against precious metals, it provides protection against volatility that may be caused by political instability. The Kinesis Monetary System lets you own real gold or silver when you purchase the digital currency. Your ownership is then digitized and then made available for spending, trading, and transfer. What is even better, the monetary system can be used internationally, ensuring reliability of money around the world. With the recent crisis around the Turkish Lira, the price of gold has significantly increased. Mass adoption of crypto by consumers In January 2019, blockchain technology will be 10 years old. It remains a speculative investment to this day but 2019 could be the year of mass adoption for digital currencies. For this to happen, however, there has to be some triggers. Speculation should become a real utility. People must use blockchain projects in everyday life so they will gain widespread use. Decentralized applications (DApps) must gain mainstream status to promote widespread adoption of cryptocurrencies. Improved payment processing, addressing the issue on the current situation of slow transaction times and high transaction fees. Scalability of blockchain technology with little to no impact on its efficiency. To date, slow transaction times are due to the growing number of users and transaction sizes. This calls for blockchain to grow and have the ability to compete with Mastercard, PayPal, or Visa. Introduction of off-chain solutions that allow users to complete a transaction through peer-to-peer payment channel instead of within the blockchain. This will address slow transaction times. Security will be provided by the parent blockchain. Gold Is Still The Standard Despite the promises and unique functions of many cryptocurrencies, there is still uncertainty in these new markets. Gold has remained the best form of investment throughout history, and the best store of value, especially through times of crisis in politics and economies. Kinesis pegs its value to gold which has proven to be the safest investment in history. Therefore Kinesis stands to gain from the stability gold offers while simultaneously fusing it with the unique features of this cutting edge crypto technology. With the Kinesis Monetary System, investing in gold is no longer the slow process that many older investors are used to. This cryptocurrency is backed by gold and silver and supports precious metals trade. It has three essential assets. Tokens that represent an investors ownership of gold and silver. The inherited system where performance is done. Complete blockchain security that supports investments and paves the way for the creation of new assets protected in a banking system. Most importantly, the Kinesis Monetary System allows thousands of transactions to be completed per second in a completely secure channel. The Near Future Even a decade later, cryptocurrencies are still very much in their infancy. At this time, no one is sure what shape this growing sector will take in the future. Many cryptocurrencies will come and go but the ones that show the most promise, that fulfill their use cases, will stick around for the long term. With any emerging technology, we have to watch how it evolves and how it merges with our everyday life, changing the way we interact with everything around us.
Anyone doing automated trading? I really need a piece of advice
Hello everyone! At the beginning I would like to tell something about how I came here. I'm 23 years old software developer and I have to admit, that I really like my job, at least for now. It's hard to predict what will happen in next few years, but I think that life is just too short to spend half of it in a 9-5 job living frugal and then spend most of my savings to build a house of my dreams when I'll be about 50 years old and blow my retirement (in my country there is no such thing like 401k, it looks more like a money stealing organization, so I count on myself). This is not how I want to live and it's my main motivation why I started learning to trade. So I started learning Forex, because of it's liquidity and high leverage. I know it' not the easiest market to undestand, but who said it's going to be easy? I learned the basics and how it works and I also learned that trading on lower time frames is harder, but it can be much more rewarding. That's what I was looking for. At the first I was fascinated by price action trading. The concept that I need just a price chart and no indicators sounds cool. But there are some disadvantages: - There is a really strong human factor. When looking at the chart, someone will say that he sees a buy oportunity and another one that it's clearly short. Chart can be interpreted in many ways when we trade with price action. - Most volatile periods are when I'm at work, so it's hard for me to practice I know that price action trading can be very profitable, but I think it just doesn't fit me. I wondered if I could connect my programming skills with trading and started to learn about algorithmic trading, but there isn't as much resources as in manual trading. I'm not interested in HFT (High Frequency Trending). It's probably even not possible to make a profitable HFT robot for a normal person without super fast internet and close connection to source. I would like to make a trend catcher for lower time frames that would make just a few trades a day. I learned some mql4, made my first trading robot (not very effective), wrote some indicators to notice some correlations and I'm just playing a bit right now. But I think that it's time to pause and think about it. Now it's time for my questions (finally). Basically, there are two main opinions:
To write a profitable robot, you need to know as much as possible about how markets work, how they work together on a very deep level. Learn and read everything and maybe in a few years you will know enough to gain profit from it.
Most profitable robots are as simple as possible. Just stick to technical analysis, risk management, probability etc.
What' your opinion about that? And more importantly, is it worth to give it a shot? Sometimes I think that I just waste my time, because I know I can make a lot of money as a software developer and I should focus to improve myself in that particular thing. But it was never about money. It's all about freedom. I want to travel, I want to drive cars most people can't afford (not to show off, I just love driving) and build a house without spending savings of my life on it. I will appreciate any feedback :)
Feel free to talk about technical analysis here (not argue against it), but before you ask any question make sure you see the following information: Technical analysis (TA) uses historical price movements, real time data, indicators based on math and/or statistics, and charts; all of which help measure the trajectory of a security. TA can also be used to interpret the actions of other market participants and predict their actions: Measure: Is the security's price trending, has it dipped or is it a falling knife? Interpret: Does the current price mean investors think it's undervalued or overvalued; when did they buy/sell more and why? Predict: If price reaches a certain point, will there be a rally or get rejected? The main benefit to TA is that everything shows up in the price (commonly known as priced in): All news, investor sentiment, and changes to fundamentals are reflected in a security's price. TA is best used for short term trading, but can also be used for long term. Intro to technical analysis by Stockcharts chartschool and their article on candlesticks Terminology
Indicator - a calculation based on price and/or volume, it can be displayed as a line/number on a chart or watch list; some indicators use statistics like standard deviation such as the Bollinger Bands indicator
trade signals - when an indicator tells you that a buy or sell (short) entry is available (also called buy signal or sell signal)
lagging indicator - based on past prices, for example the Moving Average indicator
leading indicator - typically oscillators which fluctuate from 0 to 100 and back, and these typically measure the rate of change; they also generate overbought, oversold, and divergence, all of which help create trade signals
oversold - a trade signal for when to buy, for example RSI below 30, however it's best to wait when the RSI line points upwards past 30 before buying
overbought - the opposite of oversold; for RSI it's above 70
divergence - when an indicator and stock price move inversely which foreshadows a coming change in the price
whipsaw - when trade signals & price suddenly reverse either stopping you out or making you exit your trade
resistance - an area on a chart where price can't seem to go higher. The main reason is that no one is willing to buy above that price or there's more sellers than buyers.
support - an area on a chart where price can't seem to go lower. The main reason is no one is willing to sell below that price or there's more buyers than sellers.
breakout/breakdown - when price breaks support or resistance
alerts - a notification for when price hits your desired target, some software allows you to place the alert direction on a chart
level ii - This shows all bid & ask orders from market makers, usually your broker charges a fee for this, and is only really usual for day trading
trend line - can be a moving average, previous day's high, an indicator, you can even draw a line connecting all the highs or lows for example
Market participants - also includes market makers, institutions, and retail & institutional investors. Different markets have different participants such as futures (hedgers & speculators) and forex (banks & speculators).
Moving average (MA) - lagging indicator that averages previous prices, for example MA 20 will average the previous 20 days; MAs do not predict price movements, they smooth out price changes. Common averages are 10, 20, 50, 100, and 200. Typically you use 2 to 3 per chart.
RSI - relative strength index, takes the average gain of the stock price divided by the average loss over a number of periods, default 14; starts to reverse when it points down from 70 (sell signal) and reverses agian when it points up from 30 (buy signal)
VWAP - intraday indicator, takes the average price and weighs it by volume, basically you want to be short below VWAP and go long above VWAP; near the VWAP line (or price) there can be lots of whipsaw
MACD - combines momentum & trend indicators; gives off many trade signals including ovebought/sold and divergence, see link here note that the histogram in the center shows how wide the MACD & Signal line are from each other
ATR - Average true range gives a number that tells you how wide price movements are, great for helping set stops. ATR on a daily chart of 5 means average price movement of 5 points, typically you would have a stop loss 2x ATR so in this case it would be 10 point wide stop. If a stop loss of 2x ATR is too high for you, then trade a different stock.
Bollinger Bands (BB) - takes the standard deviation of price times 2 (default); in statistics, 95% of all values are within 2 standard deviations. BB is typically used for resistance and support, more info here.
Ichimoku clouds - Combines even more indicators, good for beginners, see here
Pivots - these used to be for pit traders in the exchange, just 5 numbers they needed to navigate the day's price movements, but are still used online and stock prices tend to breakout or reverse off these pivot lines
https://medium.com/@sergiygolubyev/crypto-exchange-trade-remember-psychology-6d4433569d9d Crypto Exchange is a high-tech platform in which all trade transactions are conducted using modern software created based on the latest IT solutions. The emergence of new types of currencies, in particular cryptocurrencies, gives a chance for the rapid development of the world economy as a whole. In turn, structural changes in the international economic system gave impetus to the emergence and development of new types of exchange technologies. Thus, crypto exchanges appeared which allowed its participants anywhere in the world to buy, sell and exchange one cryptocurrency for others, or for fiat of other countries. Each crypto exchange tries to offer customers convenient ways to convert financial instruments, and provides the ability to conduct transactions on its own terms. The high rates of development and distribution of cryptocurrencies, which are based on Blockchain, as well as the gradual wide recognition by the world community and leading economists, ensure the further improvement of exchange technologies. This means that in an effort to provide the most comfortable conditions for its customers, each crypto exchange will take them to an ever-higher quality level of service with innovative nuances. But at the same time, within the framework of the technological process of stock trading, which is available to users (from professional traders to amateurs), the question of psychology and its role in the decision making has not been canceled. Successful trading depends on 70% primarily on the psychology of a trader and only 30% on the trading scheme/strategy. Trading on the exchange, it is necessary to develop discipline, self-control and be able to respond quickly to changing stock charts. All this will allow you to earn and minimize your losses more effectively. Everyone should remember, from the amateur to the professional, that in the financial markets you can not only earn money, but also lose money. Cryptocurrency rates are still subject to political and regulatory influences; their value is influenced by the reputation of the company's founders, informational insertions about blockchain projects and plans for their further development, scandals and disclosures. Nevertheless, there are simple rules for successful trading from the field of psychology, which will reduce the risks when trying to make money on cryptocurrency and not only. There are a number of problems that always hinder every beginner - amateur: · Excitement · Fear · Greed · Unwillingness to learn new things · Imaginary visualization of results All these problems have psychological aspects. Emotions, feelings and desires significantly influence the trading decisions made by the trader. This happens all the time, not only on traditional exchanges, but also in the cryptocurrency sphere as well. Excitement is an emotional state when it seems to a person that he is lucky, and as the series of successful transactions continues, he performs larger by volume financial transactions. Often, the excitement motivates to turn away from long-term transactions and trends, and look towards short-term operations. After all, it seems that the more often you successfully complete operations, the more capital you earn. Not at all! The more often you make mistakes, leading to a default on your account. Money only is earned on long-term trends and operations. Traders are often worried, fearing an unsuccessful deal closing. Of course, a loss is bad, but sometimes it is better to close a position in minus than to lose a large amount only because of the hope of a quick price reversal. Therefore, fear often pushes for the wrong strategic decisions. Fear of loss as a result becomes a sentence for your positioning in profit. On the same face with fear, if not strange, is the factor of greed. Having essentially a different source of inspiration, greed, like fear, leads to a generally pitiable result — to the default of your trading account. The reluctance to learn new strategies, technologies, and denial of forecasting also leads to failure. Successful is who always strives to learn new things, and perceives the fact and necessity of continuous learning. Since learning is a process of striving for the progress of its results and professional qualities. Another scourge - Wish list or visualization. Everyone wants to see the price move in the right direction. This is pretty dangerous. By visualizing the price jump in the right direction, you can dream and invest too much in cryptocurrency. This will lead to losses. Here you should always remember to diversify your investments. Remember your psychological portrait even when you program your trading strategies, algorithms and bots. After all, your algorithm is essentially your psychological portrait. Finally, the above-mentioned flaws, especially in the strategy can dominate and damage your deposit and reputation. The main signs of competent crypto-trade are the same as on other exchanges (such as FOREX). This is a kind of algorithm for a sustainable profit strategy: · Risk no more than 10% of the deposit · Use risk per trade of 5% or less · Do not close profitable deals too early · Do not accumulate losing trades · Fix quick speculative profit · Respect the trend · Pay more attention to liquid assets (cryptocurrency) · Set your personal entry and exit rules for trades and stick to them · Long-term trading strategy gives you maximum steady profits · Do not use the principles of Martingale tactics if there is no experience. You cannot double the volume of the transaction, if it closed in the red zone. If a loss was incurred, then the cryptocurrency market situation was predicted incorrectly and it was necessary to work on improving the analytical skills, and not to conclude a larger deal, which probably also closes in the negative It is obvious that the psychology of trading significantly affects the performance of stock speculation both in the traditional market and in the field of cryptocurrency. It is important to remember that the success of a person in any field of activity depends on the emotional component, namely the internal balance. Exchange trading is a nervous activity, and if you do not learn to take emotions under control, the results can be disastrous. The basis for achieving success in stock trading, in my opinion, are two fundamental factors. The first factor relates to the field of formulation of the trading idea, and the second - to the area of its implementation. To formulate a trading idea, on the one hand, methods of technical and fundamental analysis are used to select an exchange instrument and determine the moment of opening and closing a position on it. On the other hand, capital management methods are used to determine the optimal size of the position being opened. As you know, without these two crucial moments it is impossible to achieve stable success in stock trading. As experience shows, for the most part, people have enough intelligence to master all the necessary theoretical knowledge of technical and fundamental analysis in a few months of intensive training. There are no special intellectual difficulties. But, as the same experience shows, this is clearly not enough for successful exchange trading, since all knowledge may turn out to be a useless load if the second success factor is not sufficiently present - the practical implementation of trading ideas, which is no longer based on the intellectual sphere, and psycho-emotional. It is within this area that the main problem arises for many traders, which prevents the receipt of stable profits. As a rule, this is due to the psycho-emotional profile of a person. It depends on how the trader will behave in the psychologically stressful situations that the exchange trading is full of. Inherent in all human emotions and feelings - fear, greed, excitement, envy, hope, etc. very often have a decisive influence on the behavior of traders, not allowing them to follow strictly the trading strategy and plan, even if they have one. From a psychological point of view, the process of stock exchange activity can be divided into stages, after which the trader can return to the starting point. The above scenarios and risk factors are one of the options for the behavior of an exchange speculator; however, it often happens exactly the opposite. Having suffered losses from his first transactions in the market, the trader loses interest in exchange trading, he gives up and he falls into despair. In this case, the first step to victory is the admission of defeat. It would seem silly and ridiculous, but it works. After that, there are two options: either the trader leaves the exchange forever, or returns to the battlefield. Such “returns” may occur more than once. In addition, at some other time, after repeated analysis of his actions, mistakes made and their consequences, a person from a beginner begins to turn into an experienced trader, which is marked by the stability of his activity and, perhaps, by slow, but surely growth of his deposit and profit. The psychological basis for success in trading, which leads to victory and the absence of which is equivalent to defeat, are as follows: · It is not only the lack of self-control, discipline and focus on the process that causes the defeat · Self-control, discipline and ability to concentrate is not enough to achieve success · To achieve success, it is equally important to be able to adapt to changes In principle, one can consider the idea that traditional approaches to the psychology of trading are limited. In the majority of benefits for traders, the key qualities necessary for successful exchange trading are only self-control and discipline. Of course, these qualities are necessary in any field of business activities. Trading is not an exception, especially considering that it is in the risk zone. But self-control and discipline are not enough to achieve success. Trading is a business. Moreover, any business does not stand still. You cannot find a formula for success and use it forever. You will need to monitor trends and constantly look for new successful solutions. The main feature of a successful trader is adaptability to changes. The lack of development leads to defeat, large monetary losses. Many technology companies continued to produce stationary computers when laptops became popular. The same companies continued to produce laptops when tablets appeared and became popular. The products of these companies were of high quality, and their employees organized pre-set tasks in an organized manner. But they lost large sums due to the fact that they could not adapt to changes in demand. If we draw a parallel with the sphere of investment, the similarities will become noticeable. The stock market, like any other subject to change. One period is replaced by another. Those methods that allowed achieving success in the previous period can lead to failure in the current. The key concept in stock trading is volatility. The change in this indicates the onset of a new period. When volatility increases, trade becomes more risky. Accordingly, with a decrease in this indicator, the degree of risk during trading operations decreases. With a high level of volatility, trends most often unfold. Strong and weak positions can be swapped out. With a high level of volatility, trends continue for some time. From the foregoing, it should be concluded that market processes and methods during periods of high and low volatility differ strongly. You cannot use the same methods during changing market trends. Often it is the adherence to the previous methods, excessive discipline leads to collapse as well. The fact that the investor was defeated does not mean that he suddenly became morally unstable, unorganized. Trading is trading. Therefore, we have every right to assert that under the psychology of trade in the markets is meant human preparedness for the risks that inevitably accompany any activity. Trading on the stock exchange is based on the interaction of the three most important components: capital management, analysis, and the psychology of trading (which cannot be considered in conjunction with the other aspects of trading). The psychology of human behavior is a source for understanding what is happening in financial markets. The source for understanding the events occurring in the financial markets and the behavior of traders during exchange trading is the psychology of the human person. Emotions — greed, fear, doubt, hope, a sense of self-preservation — are peculiar to any person in life — are clearly manifested in the hard rhythm of decision-making during the dynamic course of exchange trading (which was partially considered above). Knowledge of the human psychology and their behavioral characteristics must be used to achieve success. The psychology of a trader is formed from a multitude of grains - it is a belief in what one does in the stock market, in one’s actions, in own system of one’s decisions, in trading method. In addition, the psychology of a trader is that one can unload oneself emotionally, one does not accept the intellectual challenge that the stock market carries. On the contrary, becomes restrained, calm when making decisions on operations in the stock market. There are many situations where a trader expresses his attention and focus; he does not disperse it on the tracking of news factors or on the receipt of stimuli from the news agencies. Consequently, the crowd psychology is the factor that makes prices move, therefore, in addition to assessing one's own psychological state, one must be sensitive to changes in the mood of other market participants, move in the flow, not against it, and then success will not take long. Of course, you can argue that why do I need this psychology? After all, besides creating your own strategies and individual work, some exchanges (including crypto exchanges) allow minimizing risks by following the strategies of experienced traders; this service is called a PAMM account. PAMM provides an opportunity for clients (Subscribers) to follow the trading strategy of experienced and professional traders (Providers). Provider's trading results are publicly available. With the help of the rating of accounts, graphs of profitability and reviews of other traders, you can choose the most suitable Provider and begin to follow his strategy. Again, in this case, the provider is a human with all the ensuing consequences. And psychological aspects are not foreign to professionals as well, including victories and mistakes. The financial market attracts people the possibility of obtaining independence, including financial. A successful trader can live and work in any country in the world without having either a boss or subordinates. The motivation of people on the exchanges can be different: from getting a higher percentage than from a bank to making several thousand dollars a day. At the same time, there are two main categories of people in the financial market (including cryptocurrencies): investors who acquire assets or currency for a relatively long period, and speculators who profit from changes in the prices of certain assets for short periods. Many believe, an easy way to make money is not for everybody. First, the skillful use and manipulation of the psychological aspects of a human make it possible to become a speculator. And this, of course, in addition to knowledge and analytical skills. Experience shows that successful speculation is the right state of mind. It would seem that this is the simplest thing that can be acquired by human. But in fact, this self-tuning is available to very few. It is also necessary to distinguish the psychology of the market and the personal psychology of the trader. The behavior of the market as a whole depends on people, since it is the stock market crowd that determines its direction. However, quite often traders lose sight of the most important component of victory - managing their personal emotions, that is, their psychology. Without control over oneself, there can be no control over one’s trading capital. If a trader is not tuned to the trend range of the stock crowd, if he does not pay attention to changes in her psychology, then he will also not achieve significant success in trading. To succeed on the exchange, one needs to take a sober look at exchange trading, recognize its trends and their changes, and not waste time on dreams or lamenting about failures. Any price of a financial instrument is a momentary agreement on its value, reached by a market crowd and expressed in the fact of a transaction, i.e. it is the equilibrium point between the players for a rise and a fall, or the "equilibrium" price. Crowds of traders create asset prices: buyers, sellers and fluctuating market watchers. Charts of prices and trading volumes reflect the psychology of the exchange. In addition, this is always worth remembering! After all, the main purpose of the presence of the analysis of psychology in stock trading is not the quantity, but the quality of transactions. A person striving to become a good trader needs to remember the words of DiNapoli, a well-known stock exchange trader: “The most important trading tool is not a computer, not a service for supplying information, or even methods developed by a trader. It is he himself! If a trader is not suitable for this - he should not trade at all”! Therefore, before pushing orders on the trading platform, think about whether you are suitable for this role. Join chat — https://t.me/joinchat/AAAAAE84vCXg5PK-VpHADg Sergiy Golubyev (СергейГолубев) EU structural funds, ICO projects, NGO & investment projects, project management, comprehensive support of business
Stock Market Week Ahead for the trading week beginning February 4th, 2019 (News, Earnings, etc.)
Hey what's up stocks! Good morning and happy Sunday to all of you on this subreddit. I hope everyone made out pretty decent last week in the market, and are ready for the new trading week ahead! :) Here is everything you need to know to get you ready for the trading week beginning February 4th, 2019.
Jobs report removes some fear, but market still in 'tug of war' over how much growth is slowing - (Source)
After January's strong jobs report calmed some recession fears, investors will be picking through the next wave of earnings reports and economic data for clues on just how much the U.S. economy could be slowing. Dozens of earnings, from companies like Alphabet, Disney and Eli Lily, report in the week ahead, and there are just a few economic reports like trade data and ISM services on Tuesday. Investors will also be watching the outcome of Treasury auctions for $84 billion in Treasury notes and bonds Tuesday through Thursday, after the Fed's dovish tone helped put a lid on interest rates in the past week. Nearly half the S&P 500 companies had reported for the fourth quarter by Friday morning, and 71 percent beat earnings estimates, while 62 percent have beaten revenue estimates. But earnings growth forecasts for the first quarter continue to decline as more companies report, and they are currently barely breaking even at under 1 percent growth, versus the 15 percent growth in the fourth quarter, according to Refinitiv. "Granted the more we hear from companies, and particularly in terms of their guidance and projections on revenues, things can slowly change. The first thing companies do is they stop spending money. Cap spending slows down, and if revenue growth does not pick up, they let people go. This is still wait and see," said Quincy Krosby, chief market strategist at Prudential Financial. Krosby said the 304,000 jobs added in January did ease some concerns about a slowing economy, as did a stronger than expected ISM manufacturing report Friday. But the view of the first quarter is still unclear, as many economic reports were missed during the government shutdown. Economists expect growth in the first quarter of just above 2 percent, after growth of about 2.9 percent in the fourth quarter. Stocks closed out January with a sharp gain on Thursday, and started February on Friday on a flattish note. The S&P 500 has rebounded about 15 percent from its Dec. 24 closing low. Last month's 7.9 percent gain was the best performance for January in more than 30 years. The old Wall Street adage says 'so goes January, so goes the year.' If that holds, stocks could finish 2019 higher. But February is another story, and on average, it is a flat month for the S&P 500. "The tug of war that you saw in the market, that was going on in the last half of last year is playing out in the data. Some of the data is a bit lower, but some of the economic surprises are picking up to the upside rather than downside," said Krosby. Peter Boockvar, chief investment strategist at Bleakley Advisory Group, said the ISM may have improved but it reflected very low exports and flat backlogs, even though there was a snap back in new orders. "I would fade the jobs report," said Boockvar, noting the level of growth may have been inflated by government workers taking on part-time jobs during the government shutdown. Boocvkar said the jobs report also looked strong on the surface, but he's concerned the unemployment rate ticked up to 4 percent from 3.9 percent. "The question of whether we go into a recession or not is how does the stock market affect confidence?" Boockvar said. Confidence readings in the past week were low, and consumer sentiment Friday was its lowest since before President Donald Trump took office. Krosby said stocks could test recent lows or put in a higher low. If there's a big selloff, "That would not necessarily mean it was a clue a recession is coming. It's just a normal testing mechanism," she said. The Fed removed a big concern from the markets in the past week, when its post-meeting statement and Fed Chairman Jerome Powell's briefing tilted dovish, assuring markets the Fed would pause in its interest rate hiking. Investors had feared the Fed would hurt the softening economy with its rate hikes. Now, the biggest fears are about the trade war between the U.S. and China and slowing Chinese growth. The jobs report, and the ISM manufacturing data were also important because the lack of data during the government's 35 day shutdown has left gaps in the economic picture. "This is really a sign the Fed stole the thunder from the economic data. By saying they're patient plasters over any kind of economic data in the near term, and I suspect the near term lasts through the first quarter because of the government shutdown, the weather, weak GDP," said Marc Chandler, chief market strategist at Bannockburn Global Forex. Chandler said the markets will be hanging on any news on the trade talks with China. "Even if it's not the all encompassing trade deal we were promised, it's a return to where we were before with China promising to buy energy and farm products. We'll continue to have some kind of talks with the China, like we had under Obama and Bush," said Chandler.
This past week saw the following moves in the S&P:
What a year it has been. After the worst December for stocks in 87 years that contributed to the worst fourth quarter since the 2008–09 financial crisis, stocks have bounced back in spectacular fashion. In fact, with a day to go, stocks are looking at their best first month of the year in 30 years. What could happen next? “We like to say that the easy 10% has been made off the lows and the next 10% will be much tougher,” explained LPL Senior Market Strategist Ryan Detrick. “Things like Fed policy, China uncertainty, and overall global growth concerns all will play a part in where equity markets go from here.” With the S&P 500 Index about 10% away from new highs, we do think new highs are quite possible at some point this year. Positive news from the Federal Reserve (Fed) and China trade talks, as well as the realization by investors that the odds of a recession in 2019 are quite low could spark potential new highs. Remember, fiscal spending as a percentage of overall gross domestic product (GDP) is higher this year than it was last year. Many think the tax cut and fiscal policies in play last year were a one-time sugar high. We don’t see it that way and expect the benefits from fiscal policy to help extend this economic cycle at least another year—likely more. As we head into February, note that it hasn’t been one of the best months for stocks. In fact, as our LPL Chart of the Day shows, since 1950, February has been virtually flat, and over the past 20 years only June and September have shown worse returns. Overall, the market gains have been quite impressive since the December 24 lows, but we wouldn’t be surprised at all to see a near-term consolidation or pullback.
Investors have increasingly positioned for a Federal Reserve (Fed) pause, which could portend a shift in fixed income markets. Fed fund futures are pricing in about a 70% probability that the Fed will keep rates unchanged for the rest of 2019, and the market’s dovish tilt has weighed on short-term rates. As shown in the LPL Chart of the Day, the 2-year yield has typically followed the fed funds rate since policymakers began raising rates in December 2015. While we expect one or two more hikes this cycle, there is a possibility that the Fed’s December hike was its last, which will likely cap short-term rates.
Short-term yields have outpaced longer-term yields over the past few years, flattening the yield curve and raising concerns that U.S. economic progress may not be able to keep up with the Fed’s tightening. The spread between the 2-year and 10-year yield has fallen negative before every single U.S. recession since 1970. If the Fed pauses, the curve will likely reverse course and steepen as solid economic growth and quickening (but manageable) inflation drives longer-term yields higher. As mentioned in our Outlook 2019, FUNDAMENTAL: How to Focus on What Really Matters in the Markets, we’re forecasting the 10-year Treasury yield will increase significantly from current levels and trade within a range of 3.25–3.75% in 2019. “We remain optimistic about U.S. economic growth prospects, and recent data show inflation remains at manageable levels,” said LPL Research Chief Investment Strategist John Lynch. “Because of this, we expect the data-dependent Fed to be less aggressive than initially feared, as policymakers juggle these factors with the impacts of trade tensions and tepid global growth.” To be clear, investors shouldn’t fear a flattening yield curve given the backdrop of solid economic growth and modest inflation. Historically, the yield curve has remained relatively flat or inverted for years before some recessions started. Since 1970, the United States has entered a recession an average of 21 months after the yield curve inverted.
Jobless Claims’ Historic Significance
Jobless claims have dropped to a 49-year low. Based on historical trends, this could signal that a U.S. economic recession is further off than many expect. Data released January 24 showed jobless claims fell to 199K in the week ending January 18, the lowest number since 1969 and far below consensus estimates of 218K. As shown in the LPL Chart of the Day, current jobless claims have been significantly lower than those in the 12-month periods preceding each recession since the early 1970s.
Jobless claims have fallen out of the spotlight as the economic cycle has matured, but they could prove important again as investors’ recessionary fears increase. While most labor-market data serve as lagging indicators of U.S. economic health, jobless claims are a leading indicator. Historically, a 75–100K increase in claims over a 26-week period has been associated with a recession. “Last week’s jobless claims print was particularly impressive given the partial government shutdown and weakening corporate sentiment,” said LPL Research Chief Investment Strategist John Lynch. “The U.S. labor market remains strong and will help buoy consumer health and output growth this year.” Other predictive data sets have signaled U.S. recessionary odds are low. Data last week showed the Conference Board’s Leading Economic Index (LEI), based on 10 leading economic indicators (like jobless claims, manufacturers’ new orders, and stock prices), grew 4.3% year over year in December. In contrast, the LEI has turned negative year over year before all economic recessions since 1970. Because of its solid predictive ability, the LEI is a component of our Recession Watch Dashboard.
Best S&P January Since 1987
Most major U.S. stock indexes rallied to new recovery and year-to-date highs today shrugging off some misses and weakness from Microsoft, DuPont and Visa. S&P 500 finished the month strong with a 7.9% gain. This is the best S&P January since 1987. This is also the third January Trifecta in a row. Last year the S&P 500 crumbled in the fourth quarter under the weight of triple threats from a hawkish and confusing Fed, a newly divided Congress and the U.S. trade battle with China, finishing in the red. 2017’s Trifecta was followed by a full-year gain of 19.4%, including a February-December gain of 17.3%. As you can see in the table below, the long term track record of the Trifecta is rather impressive, posting full-year gains in 27 of the 30 prior years with an average gain for the S&P 500 of 17.1%. Devised by Yale Hirsch in 1972, the January Barometer has registered ten major errors since 1950 for an 85.5% accuracy ratio. This indicator adheres to propensity that as the S&P 500 goes in January, so goes the year. Of the ten major errors Vietnam affected 1966 and 1968. 1982 saw the start of a major bull market in August. Two January rate cuts and 9/11 affected 2001.The market in January 2003 was held down by the anticipation of military action in Iraq. The second worst bear market since 1900 ended in March of 2009 and Federal Reserve intervention influenced 2010 and 2014. In 2016, DJIA slipped into an official Ned Davis bear market in January. Including the eight flat years yields a .739 batting average. Our January Indicator Trifecta combines the Santa Claus Rally, the First Five Days Early Warning System and our full-month January Barometer. The predicative power of the three is considerably greater than any of them alone; we have been rather impressed by its forecasting prowess. This is the 31st time since 1949 that all three January Indicators have been positive and the twelfth time (previous eleven times highlighted in grey in table below) this has occurred in a pre-election year.
With the Fed turning more dovish and President Trump tacking to the center and meeting with China and market internals improving along with the gains, the market is tracking Base Case and Best Case scenarios outlined in our 2019 Annual Forecast. Next eleven month and full-year 2019 performance is expected to be more in line with typical Pre-Election returns.
February Almanac: Small-Caps Tend to Outperform
Even though February is right in the middle of the Best Six Months, its long-term track record, since 1950, is not all that stellar. February ranks no better than seventh and has posted paltry average gains except for the Russell 2000. Small cap stocks, benefiting from “January Effect” carry over; tend to outpace large cap stocks in February. The Russell 2000 index of small cap stocks turns in an average gain of 1.1% in February since 1979—just the seventh best month for that benchmark. In pre-election years, February’s performance generally improves with average returns all positive. NASDAQ performs best, gaining an average 2.8% in pre-election-year Februarys since 1971. Russell 2000 is second best, averaging gains of 2.5% since 1979. DJIA, S&P 500 and Russell 1000, the large-cap indices, tend to lag with average advances of around 1.0%.
7%? Bulls will take it! After an abysmal December, the S&P 500 is currently set to finish the month with its best January return since 1987. This month’s gain will mark the 16th time since the lows of the Financial Crisis in March 2009 that the S&P 500 has rallied more than 5% in a given month. The table below highlights each of the 15 prior months where the S&P 500 rallied more than 5% and shows how much the S&P 500 gained on the month as well as its performance on the last trading day of the month and the first trading day of the subsequent month. When looking at the table, a few things stand out. First, the first trading day of a month that follows a month where the S&P 500 rallied more than 5% has been extremely positive as the S&P 500 averages a gain of 0.84% (median: 1.01%) with positive returns 13 out of 15 times! In addition to the positive tendency of markets on the first day of the new month, there has also been a clear tendency for the S&P 500 to decline on the last trading day of the strong month. The average decline on the last trading day of a strong month has been 0.09% with positive returns less than half of the time. This is no doubt related to the fact that funds are forced to rebalance out of equities to get back inline with their benchmark weights. However, on those five prior months where the S&P 500 bucked the trend and was positive on the last trading day of a 5%+ month, the average gain on the first trading day of the next month was even stronger at 1.52% with gains five out of six times.
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Alphabet, Inc. -
Alphabet, Inc. (GOOGL) is confirmed to report earnings at approximately 4:05 PM ET on Monday, February 4, 2019. The consensus earnings estimate is $11.08 per share on revenue of $31.28 billion and the Earnings Whisper ® number is $11.03 per share. Investor sentiment going into the company's earnings release has 71% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 14.23% with revenue decreasing by 3.23%. Short interest has decreased by 6.6% since the company's last earnings release while the stock has drifted higher by 6.7% from its open following the earnings release to be 0.7% below its 200 day moving average of $1,127.05. Overall earnings estimates have been revised lower since the company's last earnings release. On Thursday, January 24, 2019 there was some notable buying of 1,493 contracts of the $1,200.00 call expiring on Friday, February 15, 2019. Option traders are pricing in a 5.2% move on earnings and the stock has averaged a 3.8% move in recent quarters.
Twitter, Inc. (TWTR) is confirmed to report earnings at approximately 7:00 AM ET on Thursday, February 7, 2019. The consensus earnings estimate is $0.25 per share on revenue of $871.59 million and the Earnings Whisper ® number is $0.29 per share. Investor sentiment going into the company's earnings release has 73% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 38.89% with revenue increasing by 19.14%. Short interest has decreased by 54.7% since the company's last earnings release while the stock has drifted higher by 6.0% from its open following the earnings release to be 3.1% below its 200 day moving average of $34.24. Overall earnings estimates have been revised higher since the company's last earnings release. On Monday, December 31, 2018 there was some notable buying of 45,575 contracts of the $34.00 call expiring on Friday, March 15, 2019. Option traders are pricing in a 13.4% move on earnings and the stock has averaged a 13.9% move in recent quarters.
Snap Inc. (SNAP) is confirmed to report earnings at approximately 4:10 PM ET on Tuesday, February 5, 2019. The consensus estimate is for a loss of $0.08 per share on revenue of $376.64 million and the Earnings Whisper ® number is ($0.04) per share. Investor sentiment going into the company's earnings release has 31% expecting an earnings beat The company's guidance was for revenue of $355.00 million to $380.00 million. Consensus estimates are for year-over-year earnings growth of 27.27% with revenue increasing by 31.83%. Short interest has decreased by 1.8% since the company's last earnings release while the stock has drifted higher by 12.7% from its open following the earnings release to be 33.6% below its 200 day moving average of $10.40. Overall earnings estimates have been revised higher since the company's last earnings release. On Thursday, January 3, 2019 there was some notable buying of 29,739 contracts of the $7.00 call expiring on Friday, February 15, 2019. Option traders are pricing in a 15.7% move on earnings and the stock has averaged a 19.2% move in recent quarters.
Cleveland-Cliffs Inc (CLF) is confirmed to report earnings at approximately 8:00 AM ET on Friday, February 8, 2019. The consensus earnings estimate is $0.57 per share on revenue of $713.61 million and the Earnings Whisper ® number is $0.63 per share. Investor sentiment going into the company's earnings release has 87% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 119.23% with revenue increasing by 18.76%. Short interest has increased by 4.6% since the company's last earnings release while the stock has drifted lower by 9.8% from its open following the earnings release to be 11.2% above its 200 day moving average of $9.47. Overall earnings estimates have been revised lower since the company's last earnings release. On Monday, January 7, 2019 there was some notable buying of 10,030 contracts of the $8.00 call expiring on Thursday, April 18, 2019. Option traders are pricing in a 9.4% move on earnings and the stock has averaged a 7.0% move in recent quarters.
Take-Two Interactive Software, Inc. (TTWO) is confirmed to report earnings at approximately 7:00 AM ET on Wednesday, February 6, 2019. The consensus earnings estimate is $2.72 per share on revenue of $1.46 billion and the Earnings Whisper ® number is $2.82 per share. Investor sentiment going into the company's earnings release has 84% expecting an earnings beat The company's guidance was for earnings of $0.31 to $0.41 per share. Consensus estimates are for year-over-year earnings growth of 106.06% with revenue increasing by 203.64%. Short interest has increased by 37.1% since the company's last earnings release while the stock has drifted lower by 18.7% from its open following the earnings release to be 9.9% below its 200 day moving average of $116.52. Overall earnings estimates have been revised higher since the company's last earnings release. On Wednesday, January 23, 2019 there was some notable buying of 2,067 contracts of the $120.00 call expiring on Friday, February 15, 2019. Option traders are pricing in a 9.2% move on earnings and the stock has averaged a 8.3% move in recent quarters.
Alexion Pharmaceuticals, Inc. (ALXN) is confirmed to report earnings at approximately 6:35 AM ET on Monday, February 4, 2019. The consensus earnings estimate is $1.82 per share on revenue of $1.06 billion and the Earnings Whisper ® number is $1.95 per share. Investor sentiment going into the company's earnings release has 67% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 23.81% with revenue increasing by 16.52%. Short interest has decreased by 16.7% since the company's last earnings release while the stock has drifted higher by 0.4% from its open following the earnings release to be 5.8% above its 200 day moving average of $119.40. On Friday, February 1, 2019 there was some notable buying of 1,235 contracts of the $130.00 call expiring on Friday, February 15, 2019. Option traders are pricing in a 7.8% move on earnings and the stock has averaged a 6.5% move in recent quarters.
Walt Disney Co (DIS) is confirmed to report earnings at approximately 4:05 PM ET on Tuesday, February 5, 2019. The consensus earnings estimate is $1.57 per share on revenue of $15.18 billion and the Earnings Whisper ® number is $1.62 per share. Investor sentiment going into the company's earnings release has 71% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 16.93% with revenue decreasing by 1.11%. Short interest has increased by 7.2% since the company's last earnings release while the stock has drifted lower by 5.8% from its open following the earnings release to be 1.9% above its 200 day moving average of $109.22. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, February 1, 2019 there was some notable buying of 8,822 contracts of the $110.00 put expiring on Friday, February 8, 2019. Option traders are pricing in a 3.1% move on earnings and the stock has averaged a 2.2% move in recent quarters.
BP p.l.c (BP) is confirmed to report earnings at approximately 5:25 AM ET on Tuesday, February 5, 2019. The consensus earnings estimate is $0.77 per share on revenue of $60.72 billion and the Earnings Whisper ® number is $0.75 per share. Investor sentiment going into the company's earnings release has 65% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 20.31% with revenue decreasing by 13.28%. Short interest has increased by 6.5% since the company's last earnings release while the stock has drifted lower by 1.6% from its open following the earnings release to be 3.9% below its 200 day moving average of $43.01. Overall earnings estimates have been revised lower since the company's last earnings release. On Thursday, January 17, 2019 there was some notable buying of 2,010 contracts of the $33.00 put expiring on Friday, January 17, 2020. Option traders are pricing in a 3.3% move on earnings and the stock has averaged a 2.1% move in recent quarters.
Clorox Co. (CLX) is confirmed to report earnings at approximately 6:30 AM ET on Monday, February 4, 2019. The consensus earnings estimate is $1.32 per share on revenue of $1.48 billion and the Earnings Whisper ® number is $1.34 per share. Investor sentiment going into the company's earnings release has 63% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 7.32% with revenue increasing by 4.52%. Short interest has decreased by 9.8% since the company's last earnings release while the stock has drifted higher by 3.5% from its open following the earnings release to be 5.9% above its 200 day moving average of $141.57. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, January 18, 2019 there was some notable buying of 1,025 contracts of the $152.50 put expiring on Friday, February 8, 2019. Option traders are pricing in a 4.7% move on earnings and the stock has averaged a 3.3% move in recent quarters.
SYSCO Corp. (SYY) is confirmed to report earnings at approximately 8:00 AM ET on Monday, February 4, 2019. The consensus earnings estimate is $0.72 per share on revenue of $14.85 billion and the Earnings Whisper ® number is $0.73 per share. Investor sentiment going into the company's earnings release has 63% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 9.09% with revenue increasing by 3.04%. Short interest has decreased by 1.0% since the company's last earnings release while the stock has drifted lower by 2.0% from its open following the earnings release to be 5.6% below its 200 day moving average of $67.34. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, February 1, 2019 there was some notable buying of 1,691 contracts of the $66.00 call expiring on Friday, February 8, 2019. Option traders are pricing in a 4.5% move on earnings and the stock has averaged a 4.8% move in recent quarters.
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