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Oscillators

Price Oscillator StrategyThe Price Oscillator uses two moving averages. ✔ One shorter-period, and one longer-period. ✔ When 2 MAs cross each other the PO reads 0. The Price Oscillator technical indicator can show overbought and oversold areas. Strategy: Only go long in an uptrend. Only go short in a downtrend Uptrend strategy: Look for an oversold situation to open a buy position. Close when get to overbought then close some more when crossing back to the zero line. Downtrend strategy: Look for an overbought situation to open a sell position. Close when get to oversold then close some more when crossing back to the zero line.
Education
by apadanaforex
2
EURUSD 1D MEAN REVERSION TRADING STRATEGYBest Mean Reversion Strategy: Before we get to that point, first and foremost, let’s see what tools we need to use for this strategy. The best mean reversion indicator that works 85% of the time is the RSI indicator. So, you will need the RSI oscillator on your charts. Now, there is one more important thing that needs to be done. The RSI settings must be changed from the default 14-period to 2-period RSI. So, we’re having not just any type of RSI, but a very fast RSI. Levels are 10 & 90. The other technical indicators we’re going to deploy on the charts are: 10-period simple moving average. 200-period moving average. Note* Another thing to keep in mind is the recommended time frame is the daily chart. Intraday charts won’t work because the fast-period RSI will generate a lot of false signals on lower time frames. Now, let’s see how we can combine the 3 indicators into a profitable mean reversion strategy. The first obvious question is when to buy and sell currency. To answer this question the mean reversion trading strategy needs to satisfy 3 triggers: The price needs to be above the 200-day EMA. This means that the overall price is in an uptrend so, we’re only going to look for buy signals in bull markets. Second, we look for the price to below the 10-day SMA, which shows a deviation from its mean. Last but not least, we look at the RSI to overshoot below 10, which signals that we’re in oversold territory. Note* For sell signals use the same trading rules but in reverse. Once all 3 conditions are satisfied we enter a trade at the open of the following day. Once we’re in a trade we also need, we also need to know when to exit the market. This is where the 10-period simple moving average comes into play again. What we’re looking for is for the price to reverse back to the 10-period SMA strategy. More often than not the price will overshoot to the upside and break above the 10-period SMA. So, to fully capitalize on the entire move we use multiple take profit targets: The first profit target is to cash half of the position once we touch the 10-period SMA. The second portion of your position is left until we break and close above the 10-period SMA. Based on our backtesting result, on average your trades should reach the second target within 1-3 days. The longer you keep your position open, the lower the chances of the trade to succeed. As a general rule, you should cash out of your entire position within the first 3 trading days. Now, we have left out for last the most important part, which is managing risk. When it comes to the protective stop loss we’re advising not to place a stop loss right away, but instead, use a time stop. Let me explain… Based on our backtesting results we have found that a lot of the times the market will do a false breakout below the previous day low (high) and hurt our position. So, to avoid this scenario we have found a great trick to move around it. Our rule is very simple: If by the first half of the day our position shows a loss, we close that trade and call it a day. This is a risky play but we have the edge on our side to play this kind of trick. After all, trading is a risky game and everyone needs to decide for themselves how to manage risk. Final Words – Best Mean Reversion Strategy In summary, the most alluring thing about mean reversion trading is the high win-loss ratio and the simplicity behind it. One thing to keep in mind is that the mean reversion strategy tends to perform poorly when the market is in a hard-mode trend. But that shouldn’t be much of a big deal since the market is ranging 75% of the time. The key takeaways from the mean reversion trading strategy are as follow: Mean reversion can be used with all asset classes (stocks, commodities, currencies or cryptocurrencies). Range trading and overbought/oversold signals work the best with this method. Adjust the RSI settings to a fast-period. You can generate quick profits – short holding time periods. A trading tip – use a time stop instead of a price stop. Thank you for reading! Mean Reversion Trading Strategy with a Sneaky Secret. In this guide, you’ll learn a mean reversion trading strategy with some trading secrets that will assist you to limit the downside. The first part of the guide will highlight what is mean reversion trading, while in the second part we’ll reveal the mean reversion strategy and how you can fine-tune it to fit your personality. If this is your first time on our website, our team at Trading Strategy Guides welcomes you. Make sure you hit the subscribe button, so you get your Free Trading Strategy every week directly into your email box. The mean reversion trading systems are more appealing to a lot of traders because it tends to have a higher win rate as opposed to the trend following strategies. Even when the markets are in well-established trends, mean reversion happens quite often. So, there are more opportunities to profit from mean reversion trading. Let’s kick the ball rolling and start with the basic by first explaining what is mean reversion in trading and then we’re going to reveal 5 trading principles that can be used with the mean reversion strategy. Table of Contents 1 What is Mean Reversion Trading? 2 How Mean Reversion Trading Works? 3 Why the Mean Reversion Strategy Works? 4 Mean Reversion Trading Strategy 5 Final Words – Best Mean Reversion Strategy What is Mean Reversion Trading? Put it simply; mean reversion trading assumes that over time the prices of any asset (stock, commodity, FX currency or cryptocurrency) in time will revert back to the mean or average price. In other words, reversion to the mean trading comes down to the old saying: “What goes up must come down.” The mean reversion theory is at the foundation of many trading strategies that involve buying and selling of those asset class prices that have deviated from their historical averages. The idea is that in the long-term prices will return back to their previous average prices and normal pattern. Example of mean reversion trading strategies includes: Reversals. Pullback trading. Retracement. Range trading system. Overbought and oversold strategies. Our best mean reversion strategy is to trade those price ranges that occur after a severe price markup or markdown. In this case, reversion to the mean implies trading around the middle of the range as our average price. In essence, mean reversion is playing around a central value be it the middle of the range, or a moving average, or however you wish to express it. The reversion to mean trading system tends to produce a higher win rate in those instances where we can notice extreme changes in the price. We can measure extreme price changes relative to the time frame used. Obviously, there is also a probability that the price will not revert back to its mean. This can indicate that there is a real shift in the market sentiment and we’re in a new paradigm. Now that we know what is mean reversion trading, let’s see how the mean reversion regression works. How Mean Reversion Trading Works? With mean reversion, we’re looking to trade against the heard. A lot of the times when you’re doing mean reversion trading, you’ll be quick in-and-out of a trade. That’s why day trading mean reversion strategy works better. There are other different ways to trade with the mean reversion strategy, including: Price stretch from a simple moving average strategy. A break outside the Bollinger Bands strategy and a return back to the mean. A test of support and resistance strategy while the price is consolidating. The linear regression is clearly slopping upwards and it’s acting as a magnet to the price. Each time the price deviates from the average price line it snaps back to it outlining the reversion to the mean concept. The main advantages of the mean reversion strategy include: Effective exit strategy – the take profit target is always the average price. High win rate – the shorter the mean reversion time frame used the higher the win rate. Good risk-adjusted returns. All trading strategies have their own pros and cons. The biggest flaw is that once you’re in a trade you’ll often see first a loss before you see a profit. The main components of the mean reversion strategy should include: 1. Entry signal after the price has moved away from its average price. You can simply calculate how far away percentage-wise are from the mean or use an ATR strategy multiple declines or simply use a volume oscillator to gauge oversold/overbought readings. 2. Exit signal gives you a way out once you get into a trade. 3. Broad market timing. Why the Mean Reversion Strategy Works? Mean reversion is a key element part of how all financial markets work. Mean reversion happens because the prices have a tendency to overshoot and undershoot their intrinsic value. These “price anomalies” happens because the impact of new information that hits the market takes time to be digested by the market. The market participants will take some time to understand the new information as the information is filtered slowly. Additionally, it takes time for the market to establish a fair value. Secondly, mean reversion trading also works because prices also move based on collective emotions. What this means for traders is that the price tends to overshoot to the downside a bit more than they overshoot to the upside. This is true because fear tends to be a bigger emotion than greed. Let’s put the puzzle pieces together and construct our reversion to the mean trading strategy.
Education
by Tradingstrategyguides
3
TD line and projectionHere you can see how to use Tom Demark trendline (that connnects peaks / thorough of more or less equal height / value) and projections. Best of breakout occur with gaps. Prebreakout candle has to close close to the trendline and make a minor pullback before the break occurs. If breakout candle has long rejection shadow - it will not work. Projection are drawn from the lowest closing price to the TD line and then projected from breakout point. You can also see how to use missed pivots that mark new trends (buy upon pullback to the next pivot) - after Rob Booker.
UEducation
by ICFX
2
Why does technical analysis work?Introduction If you're here on TradingView, it's probably because you believe that charts and technical analysis can give you an edge in the trading of currencies, metals, cryptocurrencies, and stocks. Granted, sometimes technical analysis doesn't work, but it works often enough to keep hundreds thousands of traders coming back here day after day. The larger question is why . Four Reasons Technical Analysis (Sometimes) Works To a fundamental trader like me, technical analysis can sometimes seem like voodoo. Why should lines on a chart tell me anything useful about the total value of future dividends and cash flow for a stock? I admit I especially roll my eyes at Fibonacci ratios. Personally, I feel they're about as scientific as using divination or horoscopes to buy and sell stocks. But then again, if a lot of people believed that their horoscopes could help them win at stocks, you'd be a fool to ignore them. In fact, you could then gain a large edge by using astronomical data to forecast future horoscopes, getting tomorrow's horoscopes today. Which brings us to the first and most basic reason that technical analysis works: It works because people believe it works. If a lot of traders believe that Fibonacci ratios apply to stock markets, then a lot of traders will set their buy and sell orders at significant Fibonacci retracement levels. And then there's another whole contingent of traders who don't believe in Fibonacci numbers, but they know that lots of other people do, so they set their buy and sell orders there anyway. It becomes a self-fulfilling prophecy. Active trading is largely about predicting what other traders will do, and technical analysis is their playbook. And predicting other people's behavior brings us to the second reason that technical analysis works: It works because human psychology follows patterns. For instance, trend-following strategies might work, in part, because of "bandwagoning" and the "Fear of Missing Out" (FOMO). If traders see their friends getting rich off of Tesla or Bitcoin, they will fear being left behind. Speculative enthusiasm cascades through social networks until it has saturated them and everyone is leveraged long to the gills. Only when there's no one left to convert does the momentum finally stall. (Wall Street traders often quip that when their barber starts giving them stock tips, the market is saturated and it's time to sell.) As for support and resistance levels, they work partly because of regret. People remember the price they paid, or the price they wish they had paid, and that memory then shapes their behavior. For instance, if traders remember that they missed several opportunities in 2020 to buy an SPY dip to $323, then they are more likely to buy that level in the event of a future dip. What about oscillators? Well, perhaps humans distrust anything that moves too fast. Even if I'm romantically interested in someone, I'll still pull back if she proposes marriage on the first date. Plus, humans are loss-averse, so at some point we like to lock in gains. It works because it takes time for the market to fully price in news . The advent of algorithmic trading has made it hard for traders to gain an edge by reacting to news events. Stock prices move fast the moment a headline hits, so by the time you see it, you may already be too late. That said, algorithms are pretty good at picking the direction a news event should move a stock, but not necessarily the magnitude . The initial fast news response is often followed by a slow news response as the information spreads through the human population and its implications are assessed and priced by human traders. Trend-following strategies may be able to pick up on these slower processes of repricing in light of news. It works because today's news begets tomorrow's news . This is probably the most underappreciated of all the reasons that technical analysis works. Good news often leads to more good news. If a company posts a large positive earnings surprise, then there's also a good chance that it will get a dividend raise, analyst upgrades, or upward revisions of future estimates in the days or weeks to come. Likewise, bad news often leads to more bad news. For instance, if the company posts a negative earnings surprise, then there's an increased chance that it will need to take on debt or issue shares to sustain operations in the future. The same principle applies to industry-wide or even economy-wide news. If, for instance, the state California bans a company's product, then there's an increased chance that other states will follow suit. And if the Federal Reserve cuts or raises rates, then the next rate change is likely to be in the same direction, because Fed policy goes in cycles. The news-begets-news principle means that trend-following strategies might work, in part, because they are detecting the current direction of the news cascade. Three Reasons Technical Analysis Sometimes Doesn't Work I should emphasize, however, that technical analysis doesn't always work! Here are a few reasons it might not work sometimes: Traders try to anticipate signals . The larger the number of people who know about a trading technique, the less well it works. Take supports and resistances, for instance. If I expect the rest of the market to buy at a particular Fibonacci or moving average level, then I might place my own buy order just above that level in an attempt to front-run everyone else's move. If enough people do this, then the price may not ever actually reach that level. Whales create fake signals in order to harvest profits from technical traders. For instance, if a whale knows that a lot of people have stop loss orders set at a particular support level, then the whale might short a stock to that level in order to trigger all those sell orders, causing a price collapse and an opportunity for the whale to buy shares at a cheaper price. Timing risk. Sometimes you can correctly identify the direction of the trend but still have bad timing. For instance, we're in an interest rate-cutting cycle by the Federal Reserve, which has caused a strong upward trend. But the reality is that we're probably near the end of that cycle. If the Federal Reserve suddenly changed its tune tomorrow and started forecasting rate hikes next year, it would take some time for that information to be fully reflected in slow-moving technical signals, and you could lose a lot of money if you sell only after those signals change. It's perhaps best, then, to have a good understanding of what's driving a technical trend so that you can get out early if you see the underlying drivers change.
Editors' picks
AMEX:SPYEducation
by ChristopherCarrollSmith
77
Trend following - a different way.As folk who follow my posts know, I don't keep any secrets. I explain some of my methodology in this chart. It is bespoke. To be 100% clear, this will not work 'for you'. No methodology works 'for you'. You work the methodology through experience to create your advantages. I'm not saying that people should change to this way. I do not interfere at all with what traders want to do in their favoured methodology. There is no one road to the promised land. Controlling loss is the highest priority. The markets are there to 'eat you alive'. Price action is an important part of all this. As well, it is important to understand your particular market and learn its ways. Oh yes - with time you can come to figure out certain probabilities that may not be shown in the 'technicals'. What you see in this chart can be done on any time frame from 3 min to 1-day. I can't explain everything in one chart. I've done videos on this before. Note carefully: I do not sell anything. I do not do trainings or take anybody's money. I do not sign up to any services. I do not provide evidence of winnings or losses. Disclaimers : This is not advice or encouragement to trade securities on live accounts. Chart positions shown are not suggestions. No predictions and no guarantees supplied or implied. Heavy losses can be expected if trading live accounts. Any previous advantageous performance shown in other scenarios, is not indicative of future performance. If you make decisions based on opinion expressed here or on my profile and you lose your money, kindly sue yourself.
FOREXCOM:US30Education
by Captain_Walker
EDUCATION: Hidden Bullish DivergenceToday we consider very powerful technical analysis tool - the Divergence. Definition The divergence is a situation when the price change is not supported by the oscillator. There are four types of divergences: 1)Regular bullish - the price shows lower highs, while the oscillator shows higher lows 2)Hidden bullish - the price shows higher lows, while the oscillator shows lower lows (you can see on the chart) 3)Regular bearish - the price shows higher highs, while the oscillator shows the lower highs 4)Hidden bearish - the price shows lower highs, while the oscillator shows the higher highs Divergence Trading Rules Let's consider the market uptrend situation. If there is the hidden bullish divergence it means the uptrend continuation. In case of regular bearish divergence there is a high probability of trend reverse from uptrend to downtrend. Another situation is when the market is in downtrend. The regular bullish divergence in this situation can be the evidence of trend reverse in the future. In case of hidden bearish divergence the downtrend will continue with high probability. Indicators You can search the divergences not only with Stochastic RSI. Other oscillators are also suites great here. For example, CCI, RSI, Volume oscillator, MACD and other.
Education
by Skyrexio
1
How to Spot Blow-off Tops - ES1!Here are 3 blow-off tops and 1 failed attempt which all occurred in the last 7 months. Successful completions are marked in solid black. The failed attempt is shown in dotted black. On all 4 attempts, the price accelerated upwards to different degrees. Each target can be roughly measured based on the price move. Notice how the failed blow-off begins closer to a price bottom than the successful ones did. Volume was either steadily increasing or declining during successful blow-offs, compared to the unsuccessful attempt when volume was not clearly trending. ROC (momentum) was increasing with all 4 attempts. The blow-offs were successful when momentum was at 0 or positive at the start of each blow-off. Disclaimer: This is my opinion. This is not advice. Trading involves risk.
CME_MINI:ES1!Education
by ValkyrieBlue
Advanced Tradingview CalculationsThis is a tutorial on how to get the most out of Tradingview by using advanced price calculations. The focus will be on crypto, and more specifically bitcoin. Nevertheless these tricks can be applied to other assets as well. Let's say you want to look at the current bitcoin price. The problem is that there are a lot of different exchanges and they all have different prices. Sure they're all around the same price level, but there's still a difference. So it would be quite useful if we could just look at an average price of all the most relevant markets. Here's how you can make that happen... Average price calculation First you click on the ticker on the top left, which will open the ticker tab. Open the parenthesis by typing: "(". Next you look for the markets you're interested in. In the example on the chart (bottom left line chart) I made an average for Coinbase, Bitstamp, Bitfinex and Binance. So you start typing "BTCUSD" and then with the up/down arrow keys on your keyboard you can select the exchanges you want. Each time you select an exchange you type: "+". Then type "BTCUSD" again and select another exchange. The binance pair is versus USDT instead of USD. So to easily find that market type "BTCUSDT". Once you're done selecting markets you close the parenthesis and divide the whole thing by the amount of markets you've chosen. In my example I took 4 markets so I divided it by 4. Finally press enter. Now you have a price chart that's an average of all the markets you selected. Converted currency price chart On the top left you see a red line chart. This is the Bitflyer spot market. There's an issue though, it's a Japanese Yen pair. I would like to be able to compare it to USD markets. So let's convert it and make a price chart with USD values. Just like last time, open the ticker tab. Look for "BTCJPY" and select the Bitflyer market. Now type "*". We're going to multiply it with a forex pair. Type "JPYUSD" and select a forex pair. When that's done you press enter and your price chart will be in USD instead of JPY! Making ratio's There's so much possible with these types of calculations, but I'll share one more trick to give you some inspiration. Let's compare certain markets with each other and create ratios. To the chart on the right you can see in green a ratio of some of the top USD markets in relation to the top USDT markets. This way we can see which markets have a premium or a discount. It always starts the same way: open the ticker tab. First open the parenthesis: "(". Just like with the average price calculation you're going to select a few USD markets of your liking. I used Coinbase, Bitstamp and Bitfinex for this example. Don't forget to type "+" in between each market. Then close the parenthesis and divide the selected USD markets by 3 (because I'm using 3 markets here). Now type "-" and open the parenthesis again. We're going to add a few USDT markets just like we did for USD. I used Binance, Huobi and Poloniex. Again close the parenthesis and divide by 3. And finally press enter of course. The price chart will be replaced by the ratio and it'll look kind of messy. Let's make it look like a nice indicator. You can do this by clicking on the "compare" button and doing the entire calculation there. It'll add a big fat orange line on top of your price chart. By clicking on the three dots you can click on "new pane below". Then go to the style settings and change it to your liking. I made it green and decided to use a line chart with markers. Looks pretty nice. Interesting ratio too... The blue ratio on the top of the chart is a simple Coinbase/Bitfinex comparison. Click the "compare" button again and type the following formula: COINBASE:BTCUSD-BITFINEX:BTCUSD This way you can see which exchange is more bullish/bearish. That's all I have for you today. Hopefully you found it interesting.
Editors' picks
COINBASE:BTCUSDEducation
by UnknownUnicorn2188849
23
Divergence in BTCUSDPrice while approaches its resistance level, is forming a divergence with MACD. Price is creating higher highs and MACD is forming lower highs. That means BTCUSD is losing its momentum. On the other hand there are confluence of sell orders in that resistance level. Therefore it probably can't break that level and goes down. But that's not enough for us. we need to catch a strong down move. What if it didn't breaks that level, but create a trading range around that resistance level? We do NOT want that. So we need evidence that shows us the price had reverse its move and is forming a downtrend. That evidence is our TRIGGER. The trigger could be break of a trend line, a candlestick pattern, or anything that shows we're entering a downtrend move. I used breakout of a trend line here. And for take profit, I used an 20 EMA as a trailing stop loss. Thanks for reading. Write your opinion in the comments.
BITSTAMP:BTCUSDEducation
by Trading-with-Ali
2
Moving Averages Crossover Divergence Masterclass Part 2Moving Averages Crossover Divergence Masterclass Part 2 In the previous masterclass, we saw two different ways of using MACD as an indicator. In Part 2, we'll look out for two other ways to use MACD along with other indicators. The two previous ways were: 1. Centreline Crossover 2. Signal-line Crossover Moving forward the two more ways are: 3. MACD + Awesome Oscillator: Awesome Oscillator - Bill William's Awesome Oscillator It is a momentum oscillator Calculated by subtracting 34-period SMA from 5-period SMA plotted through bar-midpoint (H+L/2) Clearly shows what is happening to the market driving force Bullish Scenario- Awesome Oscillator is greater than 0; If AO is moving up bullish trend is strengthening while if AO is moving down bullish trend is weakening Bearish Scenario- Awesome Oscillator is less than 0; If AO is moving down bearish trend is strengthening while if AO is moving up bearish trend is weakening Awesome Oscillator defined the predominant trend while MACD Signal line crossover(as discussed in Masterclass Part 1) is used to generate the trade signal. Thus BUY when AO >0 and MACD crosses up the signal line, while SELL when AO <0 and MACD crosses below the signal line To prevent fake signals, a stop loss can be set-up at the low for the entry candle. 4. MACD + Stochastic: Stochastic Indicator - Momentum Indicator Compares a particular closing price to a range of its prices over a certain period of time Just like MACD, it has faster and slower moving metrics Slow Stochastic Indicator (%K) = (C - L14)/(H14 - L14)*100 Fast Stochastic Indicator (%D) = 3 - period moving average of %K Bullish Scenario- Stochastic Indicator < 20 i.e. oversold condition; market trading upward, prices will close near the high Bearish Scenario- Stochastic Indicator > 80 i.e. overbought condition; market trading downward, prices will close near the low MACD Centerline Crossover(as discussed in Masterclass Part 1) defines the predominant trend while the Stochastic Indicator (%K) is used to generate the trade signal. Thus BUY when MACD > 0 and Stochastic Oscillator < 20, while SELL when MACD <0 and Stochastic Oscillator >80 Trade signals can also be generated using crossovers of %K and %D for the Stochastic Oscillator. A lot more interesting things can be done using MACD, but we'll move to the next indicator in our next Masterclass. STAY TUNED ---------------------------------------------------------------------------------------- Your questions and comments are most welcome. If you find the post useful, please like, share, and follow to make sure that you get more information once I publish it. - Mudrex
Education
by Mudrex
6
Trading strategy using the DeMarker indicatorThe DeMarker indicator, also known as DeM, is a technical analysis tool that compares the most recent maximum and minimum prices to the previous period's equivalent price to measure the demand of the underlying asset. From this comparison, it aims to assess the directional bias of the market. It is a member of the oscillator family of technical indicators and based on principles promoted by technical analyst Thomas DeMark. The DeMarker indicator helps traders determine when to enter a market, or when to buy or sell an asset, to capitalize on probable imminent price trends. It is considered a “leading” indicator because its signals forecast an imminent change in price trend. This indicator is often used in combination with other signals and is generally used to determine price exhaustion, identify market tops and bottoms and assess risk levels. Although the DeMarker indicator was originally created with daily price bars in mind, it can be applied to any time frame, since it is based on relative price data. Unlike the Relative Strength Index (RSI), which is perhaps the best-known oscillator, the DeMarker indicator focuses on intra-period highs and lows rather than closing levels. One of its main benefits is that, like the RSI, it is less prone to distortions like those seen in indicators like the Rate of Change (ROC), in which erratic price movements at the start of the analysis window can cause sudden shifts in the momentum line, even if the current price has barely changed. How does the indicator itself work? When the curve line moves below 0.7 from top to bottom it means that we are in a overbought zone and we have a potential sell scenario. When the curve line moves trough the minimum 0.3 level from bottom to top it means we are in oversold zone and we may have a potential buy opportunity. But! There is a catch. It is not recommended to short or buy aggressively when the curve crosses both of the levels for the first time. Usually when the curve crosses from the top the 0.3 level, indeed, it means we are heading to oversold zone, but there is going to be additional sell impulse. That's why the curve can have readings above 0.7 or below 0.3. I personally use DeM on the daily chart and this is my only oscillator. Usually Demarker indicators are payed and are very expensive. The free versions of the indicator which are massively distributed are not truly mathematically perfect, but they do fine job. Here with USD/CAD example I have placed my DeM on the daily chart for the pair. I will highlight the period from September till now with the latest signals.
Education
by DailyChartist
3
Relative Strength Index Masterclass Part 2Relative Strenght Index Part 2 In the previous masterclass, we saw the two different ways of using the Relative Strength Index as an indicator. In Part 2, we'll look out for two other ways to use RSI along with other indicators. The two previous ways were: 1. Oversold-Overbought Region 2. 50-Level RSI Midline Moving forward the two more ways are: 3. 2-Period RSI + Simple Moving Average (SMA) 2-Period RSI: 2-period RSI is the shortest and most volatile RSI signal which can be used A 1-period RSI cannot be used as it will merely give just two values, either 0 or 100 as a 1-period RSI will consider values from just the last 1 candlestick 2-period RSI will generate trade signals at the local highs and lows of the predominant trend and will lead to a reversal in the market price Therefore, 2-period RSI Strategy is also known as Mean-Reversion Trading Strategy The 2-Period RSI will generate a signal using a Threshold of 95-5, with price above 95 in the overbought region while below 5 in the oversold region 200-Simple Moving Average: 200-SMA is a Simple Moving Average of the past 200-candlestick When price moves above the 200-SMA, the market is moving above average and indicate a bullish trend When price moves below the 200-SMA, the market is moving below average and indicate a bearish trend Thereby, 200-SMA giving the predominant trend and 2-Period RSI generating trade signals. Thus Buy when the price is above 200-SMA and RSI<5 while, sell when the price is below 200-SMA and RSI>95. 4. RSI + MACD RSI: The RSI will generate a signal once a predominant trend is generated using MACD The threshold for RSI will be 70-30, with price above 70 in the overbought region while below in the oversold region The lookback period for RSI is taken as default (14) MACD: MACD is a trend-following momentum indicator MACD is calculated by subtracting 26-period EMA from 12-period EMA, resulting in MACD line A nine-day EMA of MACD results in Signal line When the signal line is above the MACD line indicates a bullish signal as small period EMA is greater than the long period When the signal line is below the MACD line indicates a bearish signal as small period EMA is lesser than the long period Thereby, MACD giving the predominant trend and RSI generating trade signals. Thus Buy when the Signal line is above MACD and RSI<30 while, sell when the signal line is below MACD and RSI>70. A lot more interesting things can be done using RSI, but we'll move to the next indicator in our next Masterclass. STAY TUNED ---------------------------------------------------------------------------------------- Your questions and comments are most welcome. If you find the post useful, please like, share, and follow to make sure that you get more information once I publish it. - Mudrex
COINBASE:BTCUSDEducation
by Mudrex
5
A filtered MACD strategy on the 1 hour chartA 1 hour chart strategy. Presented to you. When: - The price is above the 4 hours 100-EMA - The MACD & Signal(5) lines are below zero - The MACD (blue) crosses above the Signal (red) line We buy When: - The price is below the 4 hours 100-EMA - The MACD & Signal(5) lines are above zero - The MACD (blue) crosses below the Signal (red) line We sell To keep in mind: Specific to EURUSD (but it's almost the same thing with most major pairs that all have the same average true ranges): Stops are supposed to range from 15 to 40 points, with targets 30 to 80. The daily ATR ranging from 50 to 150 points. Anything below 30 pts target is starting to be too small and above 80 points it is too big we're not thinking intraday here. A quick backtest on EURUSD And that's already 21 trades for the EURUSD with a winrate of 52.4%, plus the title 5 setups that were a bit cherry picked I won't lie. I didn't even cherry pick them I got lucky on my first try (I thought I was continuing my backtest in July 2017 didn't realize it was on 2020) but I wouldn't expect an 80% winrate in general. EURUSD: 11 Wins. 10 Loss. 1:2 risk to reward. 52.4% winrate. Next is GBPUSD And here is another batch of 21 which is a good sample size. GBPUSD: 12 Wins. 9 Loss. 1:2 risk to reward. 57.1% winrate. It is important to zoom out (I know no one does it). A look at the daily chart. Just going to check quickly because it is getting boring. Should have taken the 5 minutes to make a script to filter this but I'm in too deep to go back now. And I just noticed I have been backtesting GBPUSD with the 200 EMA. Well nevermind, it is the same thing. Result wouldn't change much. And here I made the whole box. 12 Wins 19 Loss. Still a winrate of 38.7%. I can go for worse ones How about the recent EURUSD price action? 37.5% winrate If you think it gets immediatly better, here are the next ones: The findings: - When the conditions are good it won 55% of the time - When the conditions are average it won 38% of the time - When the conditions are bad (range plenty of false trends) it won 10% of the time With a RR of 2 the breakeven winrate is 33.33% But we have to include spreads. This strategy goes a bit further than "day trading" so stops and targets are quite wide. The typical stop/target is something like 25/50 (for EURUSD), the spread is 1 point. Other pairs of course are a bit more expensive. 50/25 = 2 49/26 = 1.88 breakeven winrate = 34.72% (10+38+55)/3 = 34.33% 🤔 ... Interesting coincidence... If the risk reward on average is of 1.88 and the winrate is 38% then the profit factor is 38*1.88/62 = 1.15 which is not very high but if the strategy takes a whole lot of small trades it is ok. The few cases I looked at prove nothing, this might have a blind winrate of 50%, 20%, or 33.33% (most likely). I don't know how to backtest with tools maybe I should learn so I can clic and let it execute for me... Stay tuned for a tutorial! :D You would have to execute this strategy when you think the price will trend. But not a very strong trend or there will never be a signal. An average or weak one, or something that contains trends, like what I have shown and backtested 3 times. So this means you'd still have to make a directional bet. There is no escape. Sorry no magic trick to avoid it. A directional bet on the price or on the volatility itself, the trends... Once you make your directional bet, what is the advantage of day trading with a macd strategy over just taking the trade and holding? The power of compounding. Here someone made a backtest on the daily chart for the S&P500, the strategy took 500 trades with a profit factor of 1.2 and returned 95%! Without counting any spread/commissions. And just holding the S&P during the same period returned 151%. Amazing. Then what is it that gets compounded with technical day trading? Easy. Losses & costs. Also causes to miss out when right about the direction. Lots of inconvenients, and no advantages. Sounds amazing. The power of COMPOUNDING™. Ye I'm not sold. There might be a tiny edge but it's just so worthless. Picking pennies... Got to imagine the amount of desperation to make any profit anyone would have to try that. And they'd probably end up losing. Why did I waste my time?
Education
by MrRenev
5
My favorite indicators update [part 2]An update on my use of indicators. Going to throw my thoughts out my thought process if you're interested. In my last "My favorite indicators" idea I placed the moving averages in the ones I do not use, they were top of the list thought the first ones that come to mind and make most sense. They are no substitute for a complete analysis but you need a starting point and when you are scanning 40 different charts you want to make it simple. I've been turning the trend indicators on and off (and probably will continue doing that). Right now using EMAS again. Not too many I don't want the chart to get all nasty, no full GMMA that hide the price. Just 2 fast moving EMAS. Fast moving but not dumb either. What I get out of those is I see the daily trend because they are daily ones, I don't need to have D1 & H4 side by side. "My eyes are trained to see the trend" BS I keep doing random stupid things buying too early... I've not really been trend following for long, I used to with crypto during the bubble because it was too easy but otherwise I had an edge doing something else, I must be 1 in a million doing this xd Most retail fight the trend and lose, professionals follow it I fight vertical moves and idk worked out so far. Helps filter baddies, helps spot what is going on faster (I have a watchlist of 40 charts I can't every day full analyse them all I need to filter first), they look great I love the blue and red. Goes faster to have the daily trend on the 4 hour chart, don't have to look at 2 charts side by side and zoom in and out and always have to reajust the screen etc. But honestly the main point is probably I like how they look. The red & blue. Makes a good looking chart I think. Makes it look all technical and professional and I just love the colors. Isn't that the most important part? Having fun and wanting to look at the charts. I kept losing this month. A good 17 losses in a row even with 1 potential winner I missed out on.... All those losses really ate up my other strategies profit. Pissed. Had +5 and +7 on a strat /3 and +5 -17 on my trend following strat for a grand total of 0, and then a few breakeven and +1 -1 zzzz Tried to make it with EURUSD had a wide trailing stop but it really bounced and all I got was 1R... Of course. And I have 4 positions now of course it's all slow 2/4 are more long term and this usually doesn't even move far from the entry where I can count it as a winner for a good month. And the other 2... We will see. Not counting the positions > 3 month horizon. I doubt 90% would survive these situations, well I did have winners that absorbed my losses so it's not that bad actually. And I choose to machine gun every setup with my new strategy (started as revenge trading at the start of the year and since I kept winning I looked into in again took a few good setups in the summer while backtesting and working on the strategy and then september I apply my rules and go for it for real and keep losing 🙃) Normally I take, with the other 2 strategies, like 18 setups a year each. So 3/month total. And with this trend following I should probably take another 3/month not over 20... Constant re-evaluation etc. So... I spent all of July to September backtesting improving and thinking this simple pullback trend following strategy. I starting using it in the first 3 months of 2020, and had alot of knowledge from the start I did not start from zero. I did not spend my whole days on it I looked at plenty of other things. I would vaguely estimate I spent 8 hours a day on it for 3 months that's a total of 720 hours. And it's a rather simple strategy. Just trying to get a decent strategy with a few setups here and there, that works for me. Meanwhile complete noobs that aren't especially smart expect getting consistently profitable in 3 months with 1 hour a day on the side. I tried looking at the oscillators again, see if they filter things I do not want. This joke: Versus: On top of this, using arbitrary numbers, in a month there is 30*16 = 480 hours, and 16 hours a day, say on the average day I: - Spend 4 hours going out to not go crazy (wups failed my objective here) as well as eating and sometimes playing - Spend 4 hours reading articles watching videos that I count as grinding my skillz & knowledge and posting on tradingview - Spend 4 hours backtesting improving estimating probas and doing boring things like taxes - Spend 4 hours doing research on potential setups AND managing trades (2 hours for the 30/month + 2 hours for the 3-4 I actually end up taking) That's it. There are no more hours on the day as you see. They get eaten up fast. If I get overwhelmed with these trash RSI signals... how many hours will that take? Should I spend less time doing my DD on other setups and miss out the good ones or take bad ones? Should I eat up hours in the backtesting (even if I'm happy with my strategies I want to adapt to changing conditions). Then I can spend less time doing loose research (articles & videos) or the "leisure" and burn out and also potentially miss some important info, some piece of news... Not going to post the whole RSI analysis (I can't even if I wanted it's all over the place I have stats & screenshots spread everywhere it's really disgusting). But I am 100% on this. It is not for me. Or anyone else. Sucks beyond belief. I don't know maybe there is a microscopic edge in using it oh cool. How well will that hold up after 20 loss in a row? Continue using it? Consider it doesn't work anymore? Flip it? So that was an equity curve of some "many setups" strategy, maybe something with the RSI or macd lines firing mediocre signals over and over. They really look like this. Well they would if anyone sticked to it. Now an equity curve with less setups but being more picky with alot of research time spent on studying the currencies or other instrument (enough to avoid really bad setups and to be more precise and to manage it better at least). And then of course when you reach the scholarly peak and go for diversified strategies (it isn't possible in my experience to have that much diversification but a little is possible. Basically if you tried diversifying too much you'd end up repeating the same strategies but with different conditions or taking positions too large by trying to diversify via assets because assets are correlated you can't have 10 different strategies but you can have a couple by having different timeframes different markets and some reversal if that's possible careful most fail and some trend following if quant then also arbitrage and so on holding fixed income too can be added but not only the markets aren't offering infinite uncorrelated possibilities but also each strat that you add is hundreds or thousands of hours to design and then alot of time and attention to manage and execute) But with 2-3 strat that equity curve would look something like this... Can strategies be completely uncorrelated thought? They're likely to all use some support and resistance analysis. It's sort of the same for forex stocks etc. Liquidity area. There aren't 30 ways to do this. What if S&R changes, what if they don't matter for whatever reason? Then it all falls down. Just trying to use a simple example to show it can't all be uncorrelated. Even if you held bonds as an additional profit stream, their yield will change and it will impact the trends etc... Oh and let's be real, the market does not provide an endless number of setups. I never heard of anyone that made money in choppy markets (if they do they are on a higher TF where it is not choppy). Even my reversal strategy is for trending markets. Some people say they trade inside ranges well even if they do and aren't just lucky lying or delusional there are very few clean ranges so here. I do not remember ever hearing Goldman Sachs or Bank Of America or JP Morgan Chase going "ok we think the kiwie is going to stay in a range so we will buy it at the lows because it is oversold". It's either "Based on the research presented, the trend, the fundamentals, the market conditions/past data, here are our 3/6/12 months targets" or "we think the euro will continue going lower" or "we think the usd rally is not over so we are still long" or "we see a ranging market we have no position". You really got to bring the retail swing traders to come up with this kind of stupid crap 😂 Here is a quote from an investment banker active on social networks: "Its 80% fundamental, 20% Technical. Professional Traders don't day trade often so day trading is a small part of a much larger overall approach. There's no such thing as swing trading in professional trading circles. That was something made up by brokers for the retail market. To be honest I had never heard of it until I started teaching retail traders and someone told me what it was. I laughed out loud when they told me! No Joke." I don't know all the kinds of weird messed up strategies the various funds have but as far as I know bankers look for momentum. How many opportunities there are day trading if there are some is irrelevant just look at the daily chart and how many are there matter for this thought process, because if day trading did better than real trading I think we'd f**ing know by now and every hedge & mutual fund would be looking for day traders. So ye, not that many opportunities realistically per strategy (day trading can be an additional strategy but there are only 16 hours in a day at some point I really don't think more than a couple is possible and 2-3 max probably with day trading), even over a good dozen instruments (like a dozen fx pairs). Even Jérôme Kerviel that lost 5 billion looks for big movers, big volatility :D Last thought: Howie Hubler made a successful short bet against the trend (or bubble rather) in subprime mortgages in the U.S (the big short) except he got the money from selling insurance on AAA morgages (the rating companies are basiclaly trolls) and he lost 9 billion 1 shot aaaaand it's gone. Rekt. I've heard of plenty of trend followers (systematic or discretionary) Bitcoin bagholders from 2012 George Soros on the yen/Nikkei early buy/sell Warren Buffett..., I've heard of plenty of countertrend success (Enron shorts, 2007 CDS, Soros against the pound and SEA countries and so on), never heard of the "great flat market range trader". Well with the exception of the great signal providers and educators of course. Even Livermore didn't make money in ranging market but Livermore has alot to learn from 20 years old Ricky & Forex Lambo lifestyle & some random dudes in comments with 6 month old accounts and that have been offline for 2 years since then and whoever promotes this.
Editors' picks
Education
by MrRenev
16
Relative Strength Index Masterclass Part 1Relative Strenght Index(RSI) RSI is a momentum oscillator, whereas the momentum is the rate of the rise or fall in price. RSI is an oscillator ranging between two extremes, in the case of RSI, it ranges from 0 to 100. The relative strength index is computed with: RSI = 100RS/(1+RS); where RS is relative strength. RS= (Previous Average gain*13+Current gain)/(Previous Average loss*13+Current loss) Relative Strength is a ratio of a stock price performance to a market average (index) performance. RSI will rise as the number and size of positive close increases and will fall as the number and size of losses increase. There are two terminologies for RSI: Lookback period: The time frame that is used to calculate the relative strength, by default it is 14. A look-back period greater than 14 will give a smoother RSI signal while less than 14 will give a rough volatile RSI signal Threshold Frequency: The oversold-overbought value ranges are the threshold frequency, default is 70-30 (which depend on various factors reasons such as risk factor), for eg. 80-20(less risk) and 66-33 (more risk) RSI touching the overbought condition is a bearish sign (prices are likely to go down) while RSI attaining oversold condition is a bullish sign (prices are likely to increase) There are many ways of using RSI as an indicator Oversold-Overbought Region : Oversold Region - The situation at which a lot of selling has happened and everyone who was willing to sell has sold, RSI value less than 30 Overbought Region - The situation at which a lot of buying has happened and everyone who was willing to buy has bought, RSI value greater than 70 In this, we have default values for the lookback period(14) and threshold frequency(70-30) which you can change according to your requirement and risk management. A look-back period of more than 14 would be more interested in long term trend while less than 14 would be inclined towards short term trades. The look-back period can also be increased to smoothen out the RSI line. A threshold of 80-20 (more-safer) or 66-33 (more-riskier) can be taken into consideration. A Buy signal will be generated when RSI is less than 30 i.e. the oversold region while a Sell signal will be generated when RSI is greater than 70 i.e. overbought region. 50-Level RSI Midline The overbought-oversold condition helps detect sudden changes in the momentum of price without providing much information about the overall trend of the market, therefore using the overbought-oversold strategy without getting information on the overall trend could be a bit risky. Thus we use RSI with different timeframes and the threshold for trend information as well as signal generation. In this we will have two different RSI: A RSI with the look-back period of 20-days and 50-50 frequency, also called midline RSI. In an uptrend, this RSI is above 50 and below 50 for a downtrend. A RSI with the look-back period of 5-days and 66-33 frequency, the look-back period is sufficiently low so that in a predominant trend, local maxima or minima can be used for generating buy or sell signal with the small look-back period RSI ensuring the signal is reactive to current price fluctuations. Thereby, an uptrend is signaled if 20-RSI is greater than 50, with the buy signal being generated in the uptrend with 5-RSI in the oversold region while a downtrend is signaled if 20-RSI is less than 50, with the sell signal being generated in the downtrend with 5-RSI in the overbought region. A buy signal is generated when 20-RSI is greater than 50 and 5-RSI is less than 33 while a sell signal is generated when 20-RSI is less than 50 and 5-RSI is greater than 66. A lot more interesting things can be done using RSI, about which we'll be talking in the next Masterclass on RSI, STAY TUNED! ---------------------------------------------------------------------------------------- Your questions and comments are most welcome. If you find the post useful, please like, share, and follow to make sure that you get more information once I publish it. - Mudrex
COINBASE:ETHUSDEducation
by Mudrex
8
Ichimoku Cloud Indicator MasterclassIchimoku Cloud Ichimoku Cloud is a set of technical Indicators that show support and resistance levels, momentum as well as trend direction which is done by taking into consideration multiple averages and plotting them over the chart. It is composed of 5 lines, 2 of which compose a cloud where the difference between the two lines is shaded in where the price may find support or resistance. The 5 lines include, a 9-period average (conversion line), 26-period average (baseline), an average of those 9-period and 26-period averages (Leading Span A), a 52-period average (Leading Span B) and a lagging closing price line (Lagging Span) There are different ways to interprate the Indicator: Ichimoku Cloud The cloud is the most prominent feature of the Ichimoku Cloud plots. The leading Span A moves faster than the Leading Span B as Leading Span A, the average of conversion line (9-period average), and base line (26-period average) while Leading Span B, 52-period average making the shorter moving average more sensitive and faster than longer moving averages. The price is above the cloud indicates an uptrend and it is strengthened when the Leading Span A is moving above and rising from Leading Span B, similar for downtrend. Ichimoku Crossover For the crossover strategy there will be use of Conversion Line (9-period moving average) and Base Line (26-period moving average). The crossover line takes lesser data points into consideration and reacts to the price more quickly while the baseline considers more data points tending it away from the market price thereby making the reactions slower. Therefore, for Ichimoku crossover a buy signal is generated when the conversion line moves above the base line and sell when the conversion line drops back below the base line. Price-Baseline Trend As the price moves down below the Base Line representing a short-term oversold situation within a bigger uptrend with the pull back ending when the price moved back above the Base Line to trigger Bullish signal while as the price moves above the Base Line representing a short-term overbought region within a bigger downtrend with the bounce ending when the price moved back below the Base Line trigger to a Bearish signal. Ichimoku + RSI The Oscillator indicator is RSI and the moving average is Ichimoku in which we’ll be using RSI to give signal i.e. the signal chart while Ichimoku will provide with the trend i.e. the trend chart. Buy when Leading Span A is above Leading Span B, and the value of RSI crosses up 30 and sell when Leading Span A is below Leading Span B along with the value of RSI crosses below 70. Few Limitations of Ichimoku Cloud Can make chart complex and distracting There are few points plotted in future which might go in vain May become irrelevant for long period of time as price remains way above or way below the cloud Different signals from different elements making it a bit confusing ---------------------------------------------------------------------------------------- Your questions and comments are most welcome. If you find the post useful, please like, share and follow to make sure that you get more information once I publish it. - Mudrex
COINBASE:BTCUSDEducation
by Mudrex
13
Where will the trend end? TD Trend Factor and TD PropulsionBITFINEX:BTCUSD Dear friends! I continue describing Thomas DeMark’s technical tools. I have already explained such tools as: 1. TD Retracements 2. TD Lines of demand and supply 3. TD D-Wave 4. TD Sequential and TD Combo Today, I am going to deal with TD Trend Factor and TD Propulsion. These are two independent technical tools that in combination help you quite accurately identify the trend reversal moment and potential targets. But first, I’d like to unveil a small secret of DeMark. Following long experiments with Fibonacci numbers, DeMark found out the two most important of them. These are 0.382 and 0.618. By subtracting one from the other and dividing the result by 4, he found the value of 0.059. Later, for many years using this number in practice to calculate levels of support and resistance, he came to the conclusion that the most frequent ratio that occurs in trading is 0.0556. Therefore, when calculating the resistance levels, an upward percentage of 0.0556 * 100% = 5.56% is used. When calculating the support levels, a downward percentage of 100% - 5.56% = 94.44% is used to analyze micro-movements or prices whose count goes more than two digits after the decimal point, DeMark suggests using a coefficient with a shifted decimal point, i.e. 0.556% and 99.444%, respectively. TD Trend Factor basically aims at identifying the trend reversal level and confirming its relevance. To do this, we first need to find out the reference point. For a bearish trend, it is determined by the following conditions: 1. Identify the bar that marks the peak of the bullish trend 2. If the high bar above the previous bar, the starting point is at this bar’s high 3. If the high bar closes below the previous bar, the reference level is the closing price of the bar with the peak. To explain it better, I’ll give an example: The above chart presents Bitcoin all-time high. Its peak is at 19891 USD. You see that this bar’s close is lower than the previous bar’s close, so, the reference level is the high bar’s close. This level is at 18960 USD. So, based on this level, we shall build the levels of TD Trend Factor for a bearish trend. The simplest way is to calculate them in Excel. Therefore, I’ve got the following calculations: 18960*94.44% = 17905 17905*94.44% = 16910 16910*94.44% = 15970 You can be calculating in this way until the result is close to 0. With rounding to integers, there are the following levels 18 960 17 906 16 910 15 970 15 082 14 244 13 452 12 704 11 997 11 330 10 700 10 105 9 544 9 013 8 512 8 039 7 592 7 170 6 771 6 394 6 039 5 703 5 386 5 087 4 804 4 537 4 284 4 046 3 821 3 609 3 408 3 219 3 040 2 871 2 711 Eventually, as the history has proven, the low of the bearish trend came at 3215.2 USD, that is just a few dollars below one of the levels indicated above. You might say that this is a coincidence but try to carry out this experiment on other trends and you will see that it works. If we analyze the earlier history BTCUSD price chart, we’ll see that the TD Trend Factor levels of the downtrend had excellently worked out before that (see the chart above). In addition, it is clear that the lower the price is moving, the thicker becomes the grid. This construction fully matches to the market behavior; in a bearish correction, the deeper the price falls, the stronger the resistance becomes and the shorter is the range of price swings. For a bullish trend, the same rules are applied, only in vice versa. . To find a reference levels, we need identify the bar that marks the low of the bearish trend and: 1. If the low bar closes below the previous close, the reference level is at the low. 2. If the low bar closes higher than the previous close, the reference level is the low bar’s close. I’ll explain on the example. The above chart represents the low at 3215.2 USD that we have already marked before. If we zoom it in, we’ll see that the close is a little higher than the previous bar’s close, so the reference level will be set based on condition 2, at 3283.4 USD. The levels will be calculated in the same way, only the coefficient will be 105.56% instead of 94.44%. Finally, there are following levels: 3 283 3 466 3 659 3 862 4 077 4 303 4 543 4 795 5 062 5 343 5 641 5 954 6 285 6 635 7 004 7 393 7 804 8 238 8 696 9 179 9 690 10 228 10 797 11 397 12 031 12 700 13 406 14 152 14 938 15 769 16 646 17 571 It makes no sense to mark all the levels in the chart, but to estimate the relevance of the calculated levels, I’ll mark the closest ones to the recent price movements. As you see from the above chart, the calculated zones serve not only as strong resistance levels, but as a support as well. How to use TD Trend Factor TD Trend Factor is a supplementary tool, used to confirm signals, it doesn’t provide any buy or sell signals by itself. So, you need to use it together with other DeMark's tools: TD Retracements TD Lines of demand and supply TD D-Wave TD Sequential and TD Combo And other DeMark's indicators that I haven’t yet described. One of these tools is TD Propulsion. The indicator is designed to send signals of the trend extension or exhaustion. This tool consists of two parts. The first element is TD Propulsion Up and TD Propulsion Down,these indicate entry points. The second part is TD Propulsion Up Target and TD Propulsion. As you can guess by the name, these are trend targets. So, let us see how this indicator is built and how it can be employed in practice. Thomas DeMark says that to confirm a bullish trend, we need to do the following: 1. Identify the points of X and Y – the low and the high of last growth wave in they bullish trend. 2. Identify the Z point – the lowest level of the bearish correction, following the growth wave XY. If this level is lower than 23.2% of the correction size, than the points of X and Y are correct; if this is not so, one needs to rearrange the borders of the wave. Next, we shall identify the TD Propulsion Up level To do it, we use a simple formula: A = Z+(Y-X)*0.236, , so, in the given example, this is: A = 12730.6 + (17171 - 5400.2)* 0.236 = 15508.5 USD. This level marks the first resistance level in the trend continuation. As a rule, this level is not broken out when the trend reverses. Next, we shall find out the level of TD Propulsion Up Target. To do it, we use a simple formula: A = Z+(Y-X)*0.472, so, in the given example, this is: A = 12730.6 + (17171 - 5400.2)* 0.472 = 18286.4 USD. This level is potential buy zone. As you see from the chart above, this level is very close to the real one and the trend reversed only after just a little more than a thousand of dollars, I will describe this situation in more detail a little later. Now, I’d like to explain how to analyze a bearish trend with TD Propulsion. Here, you build everything in a similar way, just like when using other DeMark's tools. For the further analysis, I found out clear borders of the downward wave. They are marked with the points of X and Y in the above figure. Now, let us look at the start of the bullish correction and the level where it finishes. This is point Z in the chart. You see that this level exceeds the level of 23.2% of the correction, and so, the wave itself and point Z are suitable to calculate the TD Propulsion Down. To do this, I use the following formula: A = Z-(X-Y)*0.236, so, in the given example, this is: A = 4384- (6485.8-3215.2)* 0.236 = 3612.14 USD. This level is TD Propulsion Down. Next, I identify D Propulsion Down Target. The formula is: A = Z-(X-Y)*0.472, so, the there is the following result: A = 4384- (6485.8-3215.2)*0.472 = 2840.27 USD. As you see from the above chart, the A level has worked out. As I’ve already written above, this level may signal either the trend continuation or its reversal. And the way how the price goes through this level, very difficult and slowly, is the trend reversal sign. In addition, I should note that both in the first case, when we identified the bullish trend reversal, and in this situation, level A works out. Therefore, it can be applied as a low-risk trading strategy to set the intermediate targets when analyzing the Bitcoin future price movements. To see the full capacity of these tools, we need to study their application together with other DeMark's tools on a real example. As an example, I will analyze the moment when the trend was reversing at 3215.2 USD. It is clear from the above chart that TD Propulsion Down A level exactly matches to the TD Trend Factor level at 3612.1 USD. When, following the Z point, the BTC price was moving down, it is clear that this level provides a strong support. In addition, the TD Trend Factor level at 3466 USD is not broken out. The price rebounds from it like a rubber ball. A buy signal here is the bullish Setup (remember TD Sequential and TD Combo). This signal is marked with a red arrow in the above chart. It is confirmed by a typical rebound from the TD Trend Factor level at 3466 USD and the bar closing above level A. After this combination, one could have already entered a long with a short stop beyond level 3466 USD. You already know what happened next. The risk/profit ratio for such a trade is perfect. Now, for a fair experiment, let us try to find out an entry point in the current market. First, let us build the TD Trend Factor support and resistance levels. There is already a clear high with the peak at 13764 USD. We see that this high bar closes above the previous bar’s close. So, the reference level will be at the highest high of 13764 USD. Next, we multiply each level and the product of each multiplication by *94.44%. There are the following values: 12 999 12 276 11 593 10 949 10 340 9 765 9 222 8 709 8 225 7 768 7 336 6 928 6 543 6 179 In the above chart, I marked these levels and I have noted that the last bar closes above the previous bar’s close; and its low at 9728.2 is close to the TD Trend Factor level at 9765, which itself is a bullish signal. For the Bitcoin price prediction, based on this signal, I may already assume a reversal and point Z to calculate the levels of TD Propulsion. It is clear from the above chart that the Z point is a little lower than the level of 23.2% of the correction from the wave XY with the coordinates on the price scale of 3405.3 and 13764. Therefore, the Z point is relevant for this wave. So, we can calculate TD Propulsion Up (A) and TD Propulsion Up Target (B), according to the coordinates and the formula studied above: A = 9728.2 + (13764 – 3405.3) * 0.236 = 12172.85 USD. A = 9728.2 + (13764 – 3405.3) * 0.472 = 14617.51 USD. Next, I attach the TD Sequential indicator and select the timeframe where setups are worked out most accurately on the historical data. For the BTCUSD pair, the indicator performs the best in the five-day timeframe. As a result, you see that the BTCUSD is now in a bullish setup, where the fifth bar is formingg, out of nine in total. It means that before a the bitcoin trend could reverse and a bearish trend should starts, there at least four bar more to be formed in the bullish trend, not counting the currently forming bar, that is, there are more then four weeks ahead. In addition, there is a strong support level at the Z level at 9728 USD, below which, one might set stop losses, and the first target for ta take profit is at 12172.85 USD, the second target profit is at about 14617 USD. Besides, I can define the possible BTCUSD scenarios and suggest an adequate response to a particular market situation. The chart above outlines three possible scenarios for the BTC future trend. 1. The first scenario, a pessimistic one suggests that the BTC ticker shouldn’t break through the A level and rebounds downside. This is a clear trend reversal sign. We should take the profits and enter short trades with a stop above the A level. 2. The second scenario is neutral. According to it, the ticker should break through the A level and stop close to the B level. In this case, we will take the profit at the B level and expect either the reversal below the A level to enter shorts, or reaching the B level to enter new longs. 3. The third scenario is the most optimistic and the least possible, in my opinion. The ticker breaks through the levels of A and B with large volumes and without strong delays. In this case, we should just follow the trend, moving the stops, covering the TD Trend Factor levels, calculated before, based in the low of the bearish trend. Here, I am about to finish describing Thomas DeMark's tools, TD Trend Factor and TD Propulsion, but I am not finishing writing about his studies. In my next training article, I will deal with more unique tools by the famous trader and explain how to apply DeMark's indicators to cryptocurrency trading. Subscribe not to miss the continuation! I wish you good luck and good profits!
BITFINEX:BTCUSDEducation
by Hypov
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