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Automated Bitcoin (BTC) Investment Strategy from Wunderbit Automated Bitcoin (BTC) Investment Strategy from Wunderbit Trading This strategy is designed for the automated long-term investment in Bitcoin. The BTC investment strategy is primarily suitable for long-term investors who want to increase the percentage of their investments through timely trading long-term transactions. The main feature is the difference from the indicator of long-term investment. Based on their statistics, this figure is 2 times less. That is, if we just bought Bitcoin and held it, we would receive 2 times less than if we applied the BTC Investment strategy. This strategy uses the intersection of the triple exponential moving average and the least squares moving average. We also control the profit you will make during an uptrend by implementing a trailing stop based on the ATR indicator. This is a spot market-only strategy and can be used primarily for long-term investors. The strategy is designed to create an automatic version of investing using a webhook. Automation allows you to safely ignore the state of your portfolio and exclude emotions. In order to create a cryptocurrency bot for this strategy, you need to: 1. Create alerts and link the URL to the webhook. 2. Connect the TradingView strategy with automated trading service.
Pine Script™ stratejisi
Wunderbit tarafından
9
Closing MomentumClosing momentum calculates the moving averages of closes and highs vs previous highs plus those of closes and lows vs previous lows to create momentum moving averages. Closes above/below previous highs/lows are weighted more strongly than new high or low wicks above/below a previous highs or lows. If momentum is up, the background will shade green; brighter is stronger. If momentum is down, likewise with red. Shifts in momentum are indicated by symbols: triangles indicate a minor shifts, arrows moderate, big arrows major. Likewise, the shade of the symbols indicates strength (darker is stronger). Using the indicator: long continuous stretches of the same color indicate trend - deeper is stronger. If the shade is lightening or clears and/or if symbols of the other color start appearing, the trend is weakening.
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Austimize tarafından
1
[Sextan] B-Xtrender BacktestLevel: 1 NOTE: This is a request by @scantor516 to backtest B-Xtrender @PuppyTherapy by QuantTherapy with my Sextan framework. You can backtest many of my indicators in minutes now! Of course,you can define your own indicator in the highlighted area in compliance with the uniform format, which guarantee when you use "Indicator on Indicator" function, it would not produce any error. Courtesy of QuantTherapy for his B-Xtrender @PuppyTherapy Background Backtesting of technical indicators and strategies is the most common way to understand a quantitative strategy. However, the complicated configuration and adaptation work of backtesting many quantitative tools makes many traders who do not understand the code daunted. Moreover, although I have written a lot of strategies, I am still not very satisfied with the backtest configuration and writing efficiency. Therefore, I have been thinking about how to build a backtesting framework that can quickly and easily evaluate the backtesting performance of any indicator with a "long/short entry" indicator, that is, a "simple backtesting tool for dummies". The performance requirements should be stable, and the operation should be simple and convenient. It is best to "copy", "paste", and "a few mouse clicks" to complete the quick backtest and evaluation of a new indicator. Luckily, I recently realized that TradingView provides an "Indicator on Indicator" feature, which is the perfect foundation for doing "hot swap" backtesting. My basic idea is to use a two-layer design. The first layer is the technical indicator signal source that needs to be embedded, which is only used to provide buy and sell signals of custom strategies; the second layer is the trading system, which is used to receive the output signals of the first layer, and filter the signals according to the agreed specifications. , Take Profit, Stop Loss, draw buy and sell signals and cost lines, define and send custom buy and sell alert messages to mobile phones, social software or trading interfaces. In general, this two-layer design is a flexible combination of "death and alive", which can meet the needs of most traders to quickly evaluate the performance of a certain technical indicator. The first layer here is flexible. Users can insert their own strategy codes according to my template, and they can draw buy and sell signals and output them to the second layer. The second layer is fixed, and the overall framework is solidified to ensure the stability and unity of the trading system. It is convenient to compare different or similar strategies under the same conditions. Finally, all trading signals are drawn on the chart, and the output strategy returns. test report. The main function: The first layer: "{Sextan} Your Indicator Source", the script provides a template for personalized strategy input, and the signal and definition interfaces ensure full compatibility with the second layer. Backtesting is performed stably in the backtesting framework of the layer. The first layer of this script is also relatively simple: enter your script in the highlighted custom script area, and after ensuring the final buy and sell signals long = bool condition, short = bool condition, the design of the first layer is considered complete. Input it into the PINE script editor of TradingView, save it and add it to the chart, you can see the pulse sequence in yellow (buy) and purple (sell) on the sub-picture, corresponding to the main picture, you can subjectively judge that the quality of the trading point of the strategy is good Bad. The second layer: "{Sextan} PINEv4 Sextans Backtest Framework". This script is the standardized trading system strategy execution and alarm, used to generate the final report of the strategy backtest and some key indicators that I have customized that I find useful, such as: winning rate , Odds, Winning Surface, Kelly Ratio, Take Profit and Stop Loss Thresholds, Trading Frequency, etc. are evaluated according to the Kelly formula. To use the second layer, first load it into the TrainingView chart, no markers will appear on the chart, since you have not specified any strategy source signals, click on the gear-shaped setting next to the "{Sextan} PINEv4 Sextans BTFW" header button, you can open the backtest settings, the first item is to select your custom strategy source. Because we have added the strategy source to the chart in the previous step, you can easily find an option "{Sextan} Your Indicator Source: Signal" at the bottom of the list, this is the strategy source input we need, select and confirm , you can see various markers on the main graph, and quickly generate a backtesting profit graph and a list of backtesting reports. You can generate files and download the backtesting reports locally. You can also click the gear on the backtest chart interface to customize some conditions of the backtest, including: initial capital amount, currency type, percentage of each order placed, amount of pyramid additions, commission fees, slippage, etc. configuration. Note: The configuration in the interface dialog overrides the same configuration implemented by the code in the backtest script. How to output charts: The first layer: "{Sextan} Your Indicator Source", the output of this script is the pulse value of yellow and purple, yellow +1 means buy, purple -1 means sell. The second layer: PINEv4 Sextans Backtest Framework". The output of this script is a bit complicated. After all, it is the entire trading system with a lot of information: 1. Blue and red arrows. The blue upward arrow indicates long position, the red downward arrow indicates short position, and the horizontal bar at the end of the purple arrow indicates take profit or stop loss exit. 2. Red and green lines. This is the holding cost line of the strategy, green represents the cost of holding a long position, and red represents the cost of holding a short position. The cost line is a continuous solid line and the price action is relatively close. 3. Green and yellow long take profit and stop loss area and green and yellow long take profit and stop loss fork. Once a long position is held, there is a conditional order for take profit and stop loss. The green horizontal line is the long take profit ratio line, and the yellow is the long stop loss ratio line; the green cross indicates the long take profit price, and the yellow cross indicates the long position. Stop loss price. It's worth noting that the prongs and wires don't necessarily go together. Because of the optimization of the algorithm, for a strong market, the take profit will occur after breaking the take profit line, and the profit will not be taken until the price falls. 4. The purple and red short take profit and stop loss area and the purple red short stop loss fork. Once a short position is held, there will be a take profit and stop loss conditional order, the red is the short take profit ratio line, and the purple is the short stop loss ratio line; the red cross indicates the short take profit price, and the purple cross indicates the short stop loss price. 5. In addition to the above signs, there are also text and numbers indicating the profit and loss values ​​of long and short positions. "L" means long; "S" means short; "XL" means close long; "XS" means close short. TradingView Strategy Tester Panel: The overview graph is an intuitive graph that plots the blue (gain) and red (loss) curves of all backtest periods together, and notes: the absolute value and percentage of net profit, the number of all closed positions, the winning percentage, the profit factor, The maximum trading loss, the absolute value and ratio of the average trading profit and loss, and the average number of K-lines held in all trades. Another is the performance summary. This is to display all long and short statistical indicators of backtesting in the form of a list, such as: net profit, gross profit, Sharpe ratio, maximum position, commission, times of profit and loss, etc. Finally, the transaction list is a table indexed by the transaction serial number, showing the signal direction, date and time, price, profit and loss, accumulated profit and loss, maximum transaction profit, transaction loss and other values. Remarks Finally, I will explain that this is just the beginning of this model. I will continue to optimize the trading system of the second layer. Various optimization feedback and suggestions are welcome. For valuable feedback, I am willing to provide some L4/L5 technical indicators as rewards for free subscription rights.
Pine Script™ indikatörü
blackcat1402 tarafından
4
[Sextan] Haos Vieual BacktestLevel: 1 NOTE: This is a request by @scantor516 to backtest Haos Visual @PuppyTherapy by QuantTherapy with my Sextan framework. You can backtest many of my indicators in minutes now! Of course,you can define your own indicator in the highlighted area in compliance with the uniform format, which guarantee when you use "Indicator on Indicator" function, it would not produce any error. Courtesy of QuantTherapy for his Haos Visual @PuppyTherapy Background Backtesting of technical indicators and strategies is the most common way to understand a quantitative strategy. However, the complicated configuration and adaptation work of backtesting many quantitative tools makes many traders who do not understand the code daunted. Moreover, although I have written a lot of strategies, I am still not very satisfied with the backtest configuration and writing efficiency. Therefore, I have been thinking about how to build a backtesting framework that can quickly and easily evaluate the backtesting performance of any indicator with a "long/short entry" indicator, that is, a "simple backtesting tool for dummies". The performance requirements should be stable, and the operation should be simple and convenient. It is best to "copy", "paste", and "a few mouse clicks" to complete the quick backtest and evaluation of a new indicator. Luckily, I recently realized that TradingView provides an "Indicator on Indicator" feature, which is the perfect foundation for doing "hot swap" backtesting. My basic idea is to use a two-layer design. The first layer is the technical indicator signal source that needs to be embedded, which is only used to provide buy and sell signals of custom strategies; the second layer is the trading system, which is used to receive the output signals of the first layer, and filter the signals according to the agreed specifications. , Take Profit, Stop Loss, draw buy and sell signals and cost lines, define and send custom buy and sell alert messages to mobile phones, social software or trading interfaces. In general, this two-layer design is a flexible combination of "death and alive", which can meet the needs of most traders to quickly evaluate the performance of a certain technical indicator. The first layer here is flexible. Users can insert their own strategy codes according to my template, and they can draw buy and sell signals and output them to the second layer. The second layer is fixed, and the overall framework is solidified to ensure the stability and unity of the trading system. It is convenient to compare different or similar strategies under the same conditions. Finally, all trading signals are drawn on the chart, and the output strategy returns. test report. The main function: The first layer: "{Sextan} Your Indicator Source", the script provides a template for personalized strategy input, and the signal and definition interfaces ensure full compatibility with the second layer. Backtesting is performed stably in the backtesting framework of the layer. The first layer of this script is also relatively simple: enter your script in the highlighted custom script area, and after ensuring the final buy and sell signals long = bool condition, short = bool condition, the design of the first layer is considered complete. Input it into the PINE script editor of TradingView, save it and add it to the chart, you can see the pulse sequence in yellow (buy) and purple (sell) on the sub-picture, corresponding to the main picture, you can subjectively judge that the quality of the trading point of the strategy is good Bad. The second layer: "{Sextan} PINEv4 Sextans Backtest Framework". This script is the standardized trading system strategy execution and alarm, used to generate the final report of the strategy backtest and some key indicators that I have customized that I find useful, such as: winning rate , Odds, Winning Surface, Kelly Ratio, Take Profit and Stop Loss Thresholds, Trading Frequency, etc. are evaluated according to the Kelly formula. To use the second layer, first load it into the TrainingView chart, no markers will appear on the chart, since you have not specified any strategy source signals, click on the gear-shaped setting next to the "{Sextan} PINEv4 Sextans BTFW" header button, you can open the backtest settings, the first item is to select your custom strategy source. Because we have added the strategy source to the chart in the previous step, you can easily find an option "{Sextan} Your Indicator Source: Signal" at the bottom of the list, this is the strategy source input we need, select and confirm , you can see various markers on the main graph, and quickly generate a backtesting profit graph and a list of backtesting reports. You can generate files and download the backtesting reports locally. You can also click the gear on the backtest chart interface to customize some conditions of the backtest, including: initial capital amount, currency type, percentage of each order placed, amount of pyramid additions, commission fees, slippage, etc. configuration. Note: The configuration in the interface dialog overrides the same configuration implemented by the code in the backtest script. How to output charts: The first layer: "{Sextan} Your Indicator Source", the output of this script is the pulse value of yellow and purple, yellow +1 means buy, purple -1 means sell. The second layer: PINEv4 Sextans Backtest Framework". The output of this script is a bit complicated. After all, it is the entire trading system with a lot of information: 1. Blue and red arrows. The blue upward arrow indicates long position, the red downward arrow indicates short position, and the horizontal bar at the end of the purple arrow indicates take profit or stop loss exit. 2. Red and green lines. This is the holding cost line of the strategy, green represents the cost of holding a long position, and red represents the cost of holding a short position. The cost line is a continuous solid line and the price action is relatively close. 3. Green and yellow long take profit and stop loss area and green and yellow long take profit and stop loss fork. Once a long position is held, there is a conditional order for take profit and stop loss. The green horizontal line is the long take profit ratio line, and the yellow is the long stop loss ratio line; the green cross indicates the long take profit price, and the yellow cross indicates the long position. Stop loss price. It's worth noting that the prongs and wires don't necessarily go together. Because of the optimization of the algorithm, for a strong market, the take profit will occur after breaking the take profit line, and the profit will not be taken until the price falls. 4. The purple and red short take profit and stop loss area and the purple red short stop loss fork. Once a short position is held, there will be a take profit and stop loss conditional order, the red is the short take profit ratio line, and the purple is the short stop loss ratio line; the red cross indicates the short take profit price, and the purple cross indicates the short stop loss price. 5. In addition to the above signs, there are also text and numbers indicating the profit and loss values ​​of long and short positions. "L" means long; "S" means short; "XL" means close long; "XS" means close short. TradingView Strategy Tester Panel: The overview graph is an intuitive graph that plots the blue (gain) and red (loss) curves of all backtest periods together, and notes: the absolute value and percentage of net profit, the number of all closed positions, the winning percentage, the profit factor, The maximum trading loss, the absolute value and ratio of the average trading profit and loss, and the average number of K-lines held in all trades. Another is the performance summary. This is to display all long and short statistical indicators of backtesting in the form of a list, such as: net profit, gross profit, Sharpe ratio, maximum position, commission, times of profit and loss, etc. Finally, the transaction list is a table indexed by the transaction serial number, showing the signal direction, date and time, price, profit and loss, accumulated profit and loss, maximum transaction profit, transaction loss and other values. Remarks Finally, I will explain that this is just the beginning of this model. I will continue to optimize the trading system of the second layer. Various optimization feedback and suggestions are welcome. For valuable feedback, I am willing to provide some L4/L5 technical indicators as rewards for free subscription rights.
Pine Script™ indikatörü
blackcat1402 tarafından
1
MACD + Divergence + Line █  OVERVIEW Here's the classic MACD with some simples features in plus. █  CONCEPTS 4 features 1 — Classic MACD histogram, with 4 different colors such as above or below 0, and above or below the previous bar 2 — Display option to disable EMA 3 — A signal line that show the exact point, because the histogram view might be hard to be precise 4 — Looking for previous Divergences, Bullish, Bearish and Hidden Bullish and Bearish but I don't like Hidden divergences █  OTHER SECTIONS An oscillator is good to know where we are in the trends, but it's not enough to run a small business of trading, you need to learn how to use it. What is a divergence ? Thanks to The rational investor for teaching me how to use this indicator.
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remilhoste tarafından
3
MACD_STO-SAMI This indicator depends on the trend. You must first determine the general trend and then wait for the signals that indicate buying in the bullish direction and the signals that indicate selling in the bearish direction, which is the green signal is considered buying and the red signal is considered selling Also, this indicator differs from the rest of the indicators that the signal is prior to the movement of hair, meaning that it is predictive and is strong. The green bar is the buying peak. The red bar is oversold. The red arrows indicate that you can sell, but the price must be monitored. The green arrows indicate that it is possible to buy and monitor the price The colored candles are 4, and each candle indicates the order of the candle. 1- The blue candle indicates a change in the bearish trend and the possibility of it changing to an upward trend. 2- The green candle, which indicates that there will be acceleration in the upward direction. 3- The yellow candle indicates a change in the upward trend and the possibility of it changing to the downside. 4- The red candle indicates that there will be acceleration in the downside direction To help determine the trend, the average of the 50 simple has been set NYSE:BA FX:GBPUSD TADAWUL:1120 BINANCE:BTCUSDT
Pine Script™ indikatörü
sami1i tarafından
MACD_STO-SAMI This indicator depends on the trend. You must first determine the general trend and then wait for the signals that indicate buying in the bullish direction and the signals that indicate selling in the bearish direction, which is the green signal is considered buying and the red signal is considered selling Also, this indicator differs from the rest of the indicators that the signal is prior to the movement of hair, meaning that it is predictive and is strong.
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sami1i tarafından
Divergence for Many Indicators v4 STHello Traders. This is the Strategy version of Divergence for Many Indicators v4, an easy and comfortable indicator. - - - - *It's been modified a little bit from the original. *I got permission from the original author. *I'm not good at English, I'm sorry. - - - - < 4 things to check > 1. Since repainting is not performed, the first imprinted signal can be accurately seen. 2. It does not respond to continuous diversions. 3. If the opposite diversity is not imprinted, caution is required as it is designed not to indicate liquidation. Be careful when reading the figures shown in the strategy tester. 4. Added stop loss and take propirane. < What changed? > 1. pivot period 5 - > 9 2. Money Flow index and Chaikin Money Flow are released. - - - - KOR SUB < 4가지 확인 사항 > 1. 리페인팅이 없으므로 첫 번째로 각인된 신호를 정확히 볼 수 있습니다. 2. 연속된 다이버젼스에 대해서는 반응하지 않습니다. 3. 반대의 다이버젼스가 각인되지 않으면 청산 표시를 하지 않도록 설계되어 있으므로 주의를 요합니다. 4. 스탑 로스와 테이크 프로핏 항목을 추가하였습니다. < 무엇이 변경되었나? > 1. 피봇 페리어드 값이 조금 수정되었습니다. 2. MFI & CMF 가 체크 해제된 상태입니다. THANK YOU ^^
Pine Script™ stratejisi
CannyTolany01 tarafından
23
[GB]Commodity Futures MapPuts numerous commodity futures on the same scale. The main function is RSI (without evoking "oversold/bought" concepts). Reading the chart: Much like any oscillator, the important elements are: Position relative to the middle Slope Momentum Volatility Settings: RSI length EMA smoothing Time Frame (of the indicator, not the chart( May add value when asking questions like: Is lumber trending? Is silver trending faster than gold? Is the entire asset class trending up down or not at all? Adding additional symbols is easy since the code for each symbol is identical.
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gb50k tarafından
3
Kzx PT mod v1.0 by RX-RAYKzx Position tracker mod v1.0 by RX-RAY Original script by K-zax The modification was made for the USDRUB ticker (the number of digits in the values ​​of price, interest, lot volume and profit loss for other tickers may affect the positioning of the inscription, but it is fully operative and it may be used with other tickers ) Typical label view: 74.30 - ENTRY PRICE +/-0.16% - % of price chang ( range +/-9.99) 20 - position value (range 0-99) (S) - position type (L) - long (S) - short +/-0017 - actual profit/loss in cash (range +/- 9999) (All range value for correct label position, but script mod can be used out off range) List of additions and changes: 1. Added display of position value, short / long position type and profit / loss value (including broker commission). 2. Positive interest change now corresponds to profit, negative change in interest to loss in accordance with the type of position ( short/long ) 3. The position of the inscription and the digits of the values ​​are fixed and now insignificantly depends on the change in the time interval and the change in the scale of the graph and the change in data values ​​and their signs. 4. Added changing the color of the inscription in the situation positive price change, but profit < commission fee. (critical gain).
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RX-RAY tarafından
6
ROC vs BTCThis is a modification of my Rate of Change Percentile script, used to compare the current ticker (e.g. Altcoins) to BTC. Essentially we are looking at (Current Ticker ROC percentile) vs (Bitcoin ROC percentile). In other words, we are using the ROC value of both the current ticker and BTC, and ranking each based on their previous ROC. We compare the rankings to gauge the relative overperformance or underperformance of the current ticker vs BTC. The blue line is BTC, the columns are the current ticker. Green columns above the blue line indicate positive ROC and current ticker has higher ROC ranking than BTC. Red columns below the blue line indicate negative ROC and current ticker has a higher ROC ranking than BTC. *** PLEASE LEAVE A LIKE AND FOLLOW IF YOU ENJOY THE SCRIPT *** Any questions, comments or feedback I'd love to hear from you below!
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HayeTrading tarafından
1
Median Convergence DivergenceIntroduction The Median Convergence Divergence (MCD) is a derivative of the Moving Average Convergence Divergence (MACD). The difference is the change in the use of the measure of central tendency. In MACD, moving average (mean) is used, whereas, in MCD, the median is used instead. The purpose of using the median is to eliminate the outlying values, which would be calculated for a moving average. The outliers would affect the value of the moving average. For example: 3, 5, 7, 8, 5, 4, 2, 1, 6, 21, 8. The data set average is 6.3, whereas the median value is 5. There is a difference of about 23% in the example. The reason is the outlying value '21' in the data set. As the markets are volatile, outlying values can always emerge. A moving average will consider those values; on the other hand, the median will ignore. If the strategy calls for a tool to ignore the outliers, the Median Convergence Divergence would be a great centered oscillator. The default values have changed to suit the current trading days in a week. When the MACD was introduced, there would be six trading days in a week. Therefore, it used 12 (2 weeks), 26(4 weeks), and 9 ( 1.5 weeks). But now that there are five trading days per week. The default values are adapted to them. Feel free to change them as per your wish. Recommended Settings The current settings are set to be used for the Daily Time Frame: 5 day period for the fast line, a 20 day period for the slow line, and a 10 day period for the signal line. (5 days represent a trading week, 10 days is two weeks, and 20 days is 4 weeks or a month) For the weekly charts, use 4 week period for the fast line, 13 week period for the slow line, and 8 week period for the signal line. (4 weeks represent a month, 8 weeks is two months, and 13 weeks is 3 months or quarterly) And for monthly charts, use 3 month period for the fast line, 12 month period for the slow line, and 6 month period for the signal line. (3 months is quarterly, 6 months is bi-yearly, and 12 month is yearly) It'll be challenging to measure for intraday since there are many different timeframes within intraday. The settings mentioned above should also be customized as per the requirements of the trading strategy. Strategy The strategy application is the same as the MACD, i.e., Signal Line Crossovers, Zero Line Crossovers, and Divergence. Signal Line Crossovers: When the MCD line crosses above the Signal line, it's a bullish crossover. When the MCD line crosses below the Signal line, it's a bearish crossover. Zero Line Crossovers: It's a bullish crossover when the MCD line crosses above the Zero line. When the MCD line crosses below the Zero Line, it's a bearish crossover. Divergence: When price shows a lower low, but MCD shows a higher low, it's a bullish divergence. When the price shows a higher high but MCD shows a lower high, it's a bearish divergence. Using other indicators in conjunction with the Median Convergence Divergence is recommended to take entry and exit signals.
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maksumit tarafından
18
Williams %R & RSI with Multiple PeriodsDESCRIPTION 1. Calculates %R and RSI with multiple period lengths. 1 period length value is defined by User. 8 period length values follow User's selection of classic number sequences, e.g. Fibonacci, Leonardo, Lucas, Narayana, etc. 2. User selects which indicator and periods to display or hide. DEFAULTS %R default custom period: 10. RSI default custom period: 14. %R & RSI default number sequence periods: Lucas numbers 11, 18, 29, 47, 76, 123, 199, 322. CALCULATIONS %R = (period high - most recent period's close price)/(period high - period low) RSI = 100 - 1 / (100 + RS), where RS = SMMA(up, period) / SMMA(down, period) PURPOSE 1. Identify price trends. CREDITS 1. Williams %R technical analysis momentum oscillator by Larry Williams. 2. Wilder's Relative Strength Index technical analysis momentum oscillator by J. Welles Wilder. 3. "Solarized" color scheme by Ethan Schoonover.
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insideandup tarafından
ROC PercentileRate Of Change Percentile calculates the current ROC (user defined length) as a percentile rank. We use 2 separate arrays, one for all positive ROC values and one for all negative values within a defined lookback period. Then the current ROC value is compared to those arrays to find it's percentile ranking. For example, a ranking of 75 means the ROC is in the 75th percentile of all POSITIVE ROC values over the lookback period. A ranking of -80 is in the 80th percentile of all NEGATIVE ROC values over the lookback period. Most ROC scripts use raw ROC values (or smoothed or otherwise altered), or have stochastic formula applied to them, I've not seen one that displays ROC as percentile ranking of previous positive/negative values. What is the advantage? Raw ROC data only gives half the picture. What we want to do is compare the ROC to previous ROC values, to give a sense of scale. Raw ROC values don't give you that context and you can only compare visually, usually limited to the number of bars you can see on your screen. Using a percentile ranking gives us the context of current Rate of Change relative to the previous Rate of Change over a large lookback period, and not just visually but mathematically. Why not using a long stochastic ROC? The problem with stochastics in general is that an outlier data point can ruin the data for the rest of the lookback period. For example, imagine a huge outlier 8% ROC. The 2nd largest ROC is 4% and the 3rd largest is 2%, with all other values below this. In this example, a stochastic ROC would display the 8% outlier as 100, the 4% as 50, the 2% as 25 and all other data would be squeezed down between 0-25. Additionally, a value of 60 may have vastly different meaning depending on whether the lookback period contains a large outlier or not. With a percentile ranking, that 8% outlier would still have a value of 100. But the 4% and 2% would be 99 and 98 respectively (this assumes 100 data points in the series, in reality values will usually be decimals). This effectively flattens the curve and gives a more consistent and dependable experience, allowing you to more accurately assess the relative importance of the current ROC. The line of circles is set at the 50 and -50 values for quick comparison. Values > 50 represent ROC greater than 50% of previous positive ROC values. Values < -50 represent ROC greater than 50% of previous negative ROC values.
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HayeTrading tarafından
5
OJLJ Elliott Waves detector (Free)This script is made to identify Elliot Waves by setting a zigzag line as principal source, it identifies patterns with the most common rules, in the chart you will see a number in each wave detected, a wave could have the characteristics to be two different waves so it will be plotted the options that could be, To identify which one is most trustable I suggest to use the Fibonacci levels options as an additional note this is a free update to my existing script. Features: + All waves ? (Option to show just the 5 Wave patterns recognition) + Draw zigzag line (Option to show the zigzag line) + Supports Multiple instruments, from FOREX to Stocks + It works on all the timeframes + Show Fib levels (Option to show the Fibonacci levels) + Fibonacci levels fit test (Green crosses mark were should a Bull wave be to fit with a Fibonacci Level While the purple crosses show were should the wave fit to be a bear trend, the more closer with the point of the wave the most trustable Example, a 5 Wave Bull could also be a 2 Bear Wave, if the green cross is closer to the orange point of the wave then is a 5 Wave Bull, if the purple cross is closer to the orange point) + A background color also show when a 5 pattern is identified + The way to plot the zigzag can be changed with 3 Input options Characteristics to add in future updates (Please if you like it you can support me with coins): + Detect more than 1 cycle at the same time + Use a volume indicator to identify how many volume was traded in each wave + Implement the use of the EWO ( Elliot Wave Oscillator) + Improve the display + Identify ABC patterns + Add triangles and Zigzag formations
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Oscar118 tarafından
23
F&G_IndexIntroduction. This indicator shows the behavior of Fear and Greed Index (F&G_Index) for the cryptocurrency market in an intuitive way for traders. This indicator has been modified from a script developed by @cptpat called "Fear and Greed Index FGI (Daily Update) alternative.me" (Tradingview user). The Fear and Greed Index values are taken directly from alternative.me. The novelty of this proposal is to indicate the extreme levels (lower/upper) of the Fear and Greed Index according to a statistical analysis of the historical data. Also its daily update. It is not recommended to use in isolation. The appropriate way is in consensus with other indicators. The extreme values. Two upper and lower limits are established that correspond to the first standard deviation (1·SD) and 1.5 standard deviation (1.5·SD), respectively. These limits will help to know different important levels of greed or fear in the market based on real and historical data. The values obtained for each case are shown below, which will mark the extremes. These values may be modified in the future. If so, they will be updated and the community will be informed. 1·SD higher = 69 (F&G_Index). 1·SD lower = 24 (F&G_Index). 1.5·SD higher = 81 (F&G_Index). 1.5·SD lower = 12 (F&G_Index). These limits are statistically significant and representative of extreme values of the Fear and Greed Index. Above all, for the case of 1.5·SD higher/lower, whose occurrence of the cases are significantly lower. These data are obtained for a daily record from August 2017 to December 2021, for a total of 1407 data. The occurrence of the Fear and Greed Index value exceeding the indicated levels is shown below. F&G_Index > 1·SD higher (Greed). Occurrence <22,5% F&G_Index < 1·SD lower (Fear). Occurrence <19% 1·SD lower < F&G_Index < 1·SD higher (Neutral). Occurrence ≈59% F&G_Index > 1.5·SD higher (Extreme Greed). Occurrence <8% F&G_Index < 1.5·SD lower (Extreme Fear). Occurrence <3% How to use the indicator. Its use is very simple and intuitive and is based on the levels indicated above. The blue line shows the historical value of F&G_Index. When the value of F&G_Index exceeds the levels indicated above, a vertical band of color will be tinted (brown/red, green/lime green or gray with transparency) as indicated below. This allows you to locate important areas in a very visual way. F&G_Index > 1·SD higher (Greed). Brown color F&G_Index < 1·SD lower (Fear). Green color. 1·SD lower < F&G_Index < 1·SD higher (Neutral). Gray color with transparency. F&G_Index > 1.5·SD higher (Extreme Greed). Red color. F&G_Index < 1.5·SD lower (Extreme Fear). Lime green color. Image of the indicator.
Pine Script™ indikatörü
M_Ernest_ tarafından
7
EMA Cross + Divergence strategy (Div. signals by The Divergent)A sample strategy demonstrating the usage of The Divergent divergence indicator and The Divergent Library . The Divergent is an advanced divergence indicator which you can easily incorporate into your own strategies. In order to use this strategy (and to use the signals in your own strategy), you need to have the Pro version of The Divergent applied to your chart. For more information, please see the comments inlined in the code.
Pine Script™ stratejisi
WhiteboxSoftware tarafından
9