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vStrat Algo 1.0 (BETA)vStrat Algo 1.0 The Very First Scalping/Intraday Trading Algo for Options Note: If you have any favorite indicators that you use regularly and are helpful, feel free to use them in conjunction to this strategy. Legend: long = buy call short = buy put close entry = sell call/put BULL = bullish engulfing BEAR = bearish engulfing OS = oversold OB = overbought Instructions: 1. You can choose to watch the 3 minute or 5 minute chart but be aware of the Pro’s and Con’s. It’s not recommended to use this strategy on the 1 minute chart, but this works on higher timeframes. Keep in mind that the signals will vary on each timeframe. 3 minute 5 minute i.ibb.co i.ibb.co 2. It’s best to use this strategy right at market open. If a “long” (buy CALLS) or “short” (buy PUTS) signal was given at pre-market, I do not recommend taking it. Only take signals once the market opens. If you really wish to take the signal that was given 1-5 minutes before the market opened, you most definitely can, but its’s just riskier. What I would do is, wait 3-10 minutes after market open and if one Moving Average is respecting the other and holding above or below it, you can enter especially if the blow is bullish, the vStrat Algo 1.0 will also tell you if the candles are bearish or bullish. Use your best judgement. i.ibb.co [ 3. You do not have to wait for the exit signal, everyone's risk management is different so take profits whenever you're green or hold as long as the short-term MA is still trending above or below the long-term MA and is not touching or bouncing off it. i.ibb.co 4. Avoid taking any signals from 11:30 AM ET - 2:30 PM ET, when stocks are trading sideways since the algo’s stop losses get triggered here due to the low volume. i.ibb.co 5. Lastly, there is no magic indicator or strategy, this algorithm is designed based on multiple conditions. Each signal gets triggered when ALL the conditions are met. This strategy is based off advanced moving averages, one that reduces lag and responds quicker than the simple and exponential ones, RSI value, S/R, pivot points, and a few others. I’m always looking for ways to improve this scalping algorithm so rest assured any complaints or suggestions will be taken and fixed as timely as possible. For best results, avoid trading with your emotions. If you’re a new user, open a small position, set a stop loss, and let the algorithm decide how you will trade it for that day. Keep doing this until you get more familiar with the script then slowly increase your position sizing, but do not invest money you can’t afford to lose. Play with the settings, change the lengths if you wish, but the script was created to provide the most accurate signals as it is. If you do decide to change these inputs, the signals will also be different. Take profits whenever you see fit, the goal is to have a green day and grow your account slowly but surely. If you make a profit, do not risk giving your money back to the market by overtrading. Always do your own due diligence and use your best judgement. Good luck, Traders! DISCLAIMER : All information found here, including any ideas, opinions, views, predictions, forecasts, commentaries, suggestions, or stock picks, expressed, or implied herein, are for informational, entertainment or educational purposes only and should not be construed as personal investment advice. While the information provided is believed to be accurate, it may include errors or inaccuracies. Conduct your own due diligence or consult a licensed financial advisor or broker before making any and all investment decisions. Any investments, trades, speculations, or decisions made on the basis of any information found on this site, expressed, or implied herein, are committed at your own risk, financial or otherwise.
Strategi Pine Script®
oleh thetakiller_
231
[astropark] Trend Skywalker V2 [strategy]Dear Followers, today I'm glad to present you Trend Skywalker V2 , the evolution of Trend Skywalker V1 indicator that you can see here below: This indicator works on every timeframe and market, it's quite responsive to market movements, so it's especially good on volatile markets. In this new version you have 3 trend clouds available : a short-term one (yellow) a mid-term one (green) a long-term one (blue) You can also enable an option to show all trend clouds as one, the result will be similar to a special bollinger bands tool. Of course you can edit trend clouds analysis period and color, also you can turn on or off the cloud that you prefer. The indicator can run 4 different kinds of strategy : one for each trend cloud individually or a mixed one. Also the indicator tracks for you a peak profit from entry: this tracker is a suggestion for you to take profits while price goes up! All red-green circles you see in the chart is a reminder that a peak profit label was there in the past: what does this tell you? if price starts losing the short-term trend and you had a lot of TP suggestions, maybe trend ended and you should start consider closing your trade before you give back all your profit. On backtesting you can you test long and short setups individually or both, as well as performance in a specific time window. This is a premium indicator , so send me a private message in order to get access to this script.
Strategi Pine Script®
oleh astropark
13
Kaufman's Efficiency Ratio Strategy [KL]I recently published an indicator called "Kaufman's Efficiency Ratio Indicator". In the description of that script, I hypothesized about how the Efficiency Ratio could be applied to identify bullish moves in instances where price had already gone up steeply, but rests for a while, allowing for entry in expectation that price will continually rise. I decided to test out this idea with Pinescript. About Kaufman's Efficiency Ratio ("ER") ER was developed by a systematic trader by the name of Perry J. Kaufman. Formula The formula is: = A divided by B, where: A = Current closing price minus the closing price at the start of the lookback period B = Sum of differences between closing prices (in absolute terms) of consecutive bars over the lookback period How this strategy enters a trade (Long): - code: entry_signal_long = ER > 0 and ER_is_mid - meaning: when ER is positive, strategy assumes price has risen. Usually ER value begins high (red), and unless it is a false move, then it should stay positive. This strategy will patiently wait until ER drops to medium (yellow), and then place a trade. - how low/medium/high is dynamically determined: Refer to the description of my other script("Kaufman's Efficiency Ratio Indicator") for details. Trying to keep this as short as possible. How this strategy exits a trade (Long): - when price hits stop limit; stop limit is based on low of bars, trails upward based on ATR - included a feature called "tightening TSL", which tries to reduce the stop-buffer during periods of high volatility implied by ER (very experimental, opening the floor for suggestions on how this can be improved)
Strategi Pine Script®
oleh DojiEmoji
5
VCP pivot buyIt will buy the breakout of the pivot in a bullish trend which is defined by the Mark Minervini stage 2 template Set the stop loss% and Target% in your favor ( recommend the stoploss% as the low percentile atrp ) It helps indicate the contraction point so that we can have a low-risk entry of a buy point. It followed the strategy of Mark Minervini. changing the lookback period input to change the percentile changing the Pivot Length to decide how many bars you would consider as a pivot changing the Close range to decide in how much percentage does the close range you would consider as a pivot The percentile rank is represented in the colour of the background, you can alter how low you want to set to indicate lowering volatility. The blue line shows the percentage range in ( pivot length) days/bars The coloured background shows the signal of pivot point forming
Strategi Pine Script®
oleh perrycc007
5
SuperTrend StrategyNRTH_ SuperTrend strategy, packed with alerts, visual backtesting, and ready for automation. Comes included with the Premium Package. Indicator features Built-In Alerts Visual Risk Management Customizable Entry Rules Usage Tips Works on 15m+ timeframes, tweak sensitivity accordingly We recommend using higher timeframes with very strict entries Well known SuperTrend strategy, packed into a NRTH_ strategy package, with visual backtesting, custom risk management, and alerts ready for automation Works for all markets with the ability to customize to your liking. Backtesting Results Info Period 1/1/2021-1/10/2021 Entry value at $1000 with 100x leverage ATR Exits : 1:1.35 RR ------------------------------------------- Disclaimer Copyright NRTH_ Indicators 2021. ​‍NRTH_ and all affiliated parties are not registered as financial advisors. The products & services NRTH_ offers are for educational purposes only and should not be construed as financial advice. You must be aware of the risks and be willing to bear any level of risk to invest in financial markets. Past performance is not necessarily indicative of future results. NRTH_ and all individuals associated assume no responsibility for your trading results or investments. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, or individual’s trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Strategi Pine Script®
oleh NRTH_Indicators
Wave Trend AlgoA NRTH_ Premium Double Trend Confirmation Algo Comes included with the Premium Package. Indicator features Built-In Alerts Visual Risk Management Customizable Entry Rules Usage Tips This strategy works on timeframes as low as 15m, however not recommended for scalping with high fees. Best performance with high Risk/Reward Ratios The double trend confirmation (1 slow, 1 fast) uses lagging trend confirmation to your advantage, Identify confirmed moves and enter trades with high RR for the best results. Works for all markets with the ability to customize to your liking. Backtesting Results Info Period 1/1/2021-1/10/2021 Entry value at $1000 with 100x leverage ATR Exits : 1:3.3 RR ------------------------------------------- Disclaimer Copyright NRTH_ Indicators 2021. ​‍NRTH_ and all affiliated parties are not registered as financial advisors. The products & services NRTH_ offers are for educational purposes only and should not be construed as financial advice. You must be aware of the risks and be willing to bear any level of risk to invest in financial markets. Past performance is not necessarily indicative of future results. NRTH_ and all individuals associated assume no responsibility for your trading results or investments. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, or individual’s trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Strategi Pine Script®
oleh NRTH_Indicators
1
Trend AlgoA NRTH_ Premium Momentum Based Strategy Comes included with the Premium Package. Indicator features Built-In Alerts Visual Risk Management Customizable Entry Rules Usage Tips This strategy works on timeframes as low as 5m, great for scalping or day trading. The algo identifies price momentum with strict entry signal settings (can be made more or less sensitive). Works for all markets with the ability to customize to your liking. Backtesting Results Info Period 1/1/2021-1/10/2021 Entry value at $1000 with 10x leverage Binance standard taker fee rate (0.04%) ATR Exits : 1:2 RR ------------------------------------------- Disclaimer Copyright NRTH_ Indicators 2021. ​‍NRTH_ and all affiliated parties are not registered as financial advisors. The products & services NRTH_ offers are for educational purposes only and should not be construed as financial advice. You must be aware of the risks and be willing to bear any level of risk to invest in financial markets. Past performance is not necessarily indicative of future results. NRTH_ and all individuals associated assume no responsibility for your trading results or investments. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, or individual’s trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Strategi Pine Script®
oleh NRTH_Indicators
Algo Trading Strategy (Nifty & BankNifty)What is Algo Trading Strategy ( Nifty & Bank Nifty )? There are many 9 to 5 working professionals who have some spare money to invest each month but they can not do active trading because they are busy with their full time job. So they wish to have an automated system which could take and close trades for them with a proven back-tested strategy, proper money management, ability to trade within particular timings, pre-defined maximum loss they can bear and so on. To cater needs of such type of traders, we created from scratch; and published an 'AutoTrading Algo (Nifty & Bank Nifty) in Sep 2021. (The link is given below, please read on). Many people who want to try this AutoTrading Algo want us to share stats of this algo with them. In order to fulfil this demand, we have converted that "Algo Trading" Study into a Strategy whose description you are reading right now. For all other queries related to how our "Algo Trading (Nifty & Bank Nifty)" works, what are its limitations, benefits and other features, please read the description of our main 'Algo Trading (Bank Nifty & Nifty )' study which is available at following link: Note: 1. in order to test this strategy on longer time period, you must have a Premium TradingView account. 2. If you have premium TradingView account, the stats you generate will exactly match with our stats which we keep sharing in our channel. 3. To Enable Auto-Trading, You will need to connect this Algo with your broker's trading platform through 3rd party platforms. We will guide you on how to do this, when you contact us.
Strategi Pine Script®
oleh jellygill
4
Bagheri IG Ether v2In this version, the winning ratio has been decreased, but the Risk to Reward Ratio (RRR) has been set to be better than the previous version. This is a technical trading strategy for Ethereum ( BINANCE:ETHUSDT ). We built and developed it on MetaEditor and optimized it with MetaTrader optimizer. The main indicators are Donchian Channel, Oscillator of ROC , Bears Power, Balance of Power , and Simple Moving Average ( SMA ). Default values in the input panel are the best combination of these indicators, but you can change any of them and try it for better results. Please notice that this strategy has been optimized on the 1-minute chart of Ethereum . For each position, you can see the Take Profit (TP) and Stop Loss (SL) levels. Also, you can find the values of mentioned TP and SL in points from the input panel of the script. Attention: The price of Ethereum has 2 decimal places. Therefore, 3000 points for TP means 30 USDT for trading 1 BINANCE:ETHUSDT .
Strategi Pine Script®
oleh Bagheri_IG
Take Profit On Trend (by BHD_Trade_Bot)The purpose of strategy is to detect long-term uptrend and short-term downtrend so that you can easy to take profit. The strategy also using BHD unit to detect how big you win and lose, so that you can use this strategy for all coins without worry about it have different percentage of price change. ENTRY The buy order is placed on assets that have long-term uptrend and short-term downtrend: - Long-term uptrend condition: ema200 is going up (rsi200 greater than 51) - Short-term downtrend condition: 2 last candles are down price (use candlestick for less delay) CLOSE The sell order is placed when take profit or stop loss: - Take profit: price increase 1 BHD unit - Stop loss: price decrease 2 BHD units The strategy use $15 and trading fee is 0.1% for each order. So that, in the real-life, if you are using trade bot, it will need $1500 for trading 100 coins at the same time. Pro tip : The 1-hour time frame for altcoin/USDT has the best results on average.
Strategi Pine Script®
oleh BHD_Trade_Bot
3xATR + EMA 260 + TP SL By NussaraStrategy backtest for 3X ATR + EMA 260 Exponential Moving Average Moving averages smooth the price data to form a trend following indicator. They do not predict price direction, but rather define the current direction, though they lag due to being based on past prices. Despite this, moving averages help smooth price action and filter out the noise. EMA=Price(t)×k+EMA(y)×(1−k) where: t=today y=yesterday N=number of days in EMA k=2÷(N+1) Average True Range Average True Range ("ATR") was introduced by J. Welles Wilder in his 1978 book New Concepts In Technical Trading Systems. ATR is a measure of volatility for a stock or index Calculation ATR = (Previous ATR * (n - 1) + TR) / n Where: ATR = Average True Range n = number of periods or bars TR = True Range The True Range for today is the greatest of the following: Today's high minus today's low The absolute value of today's high minus yesterday's close The absolute value of today's low minus yesterday's close 3X ATR + EMA 260 Formula 1. ATR it indicates the market has a fluctuation. An indicator will check bar (High-Low) > 3 x ATR 2. EMA 260 identify the market uptrend or downtrend - if condition (1) is true and the price closed above the EMA260 it’s an uptrend. An indicator will enter a long position. - if condition (1) is true and the price closed below the EMA260 it’s a downtrend. An indicator will enter a short position. Risk to Reward Ratio = 1:1.5 Stop loss = open price of entry position This indicator is just a tool for technical analysis . It shouldn't be used as the only indication of trade because it causes you to lose your money. You should use other indicators to analyze together.
Strategi Pine Script®
oleh omoshiro
2
%-[Guz] Vortex Indicator Custom// Custom Vortex Strategy (backtester) // Custom version of the Vortex indicators that adds many features: // -Triggers trades after a threshold is reached instead of the normal vortex lines cross (once the difference between the 2 lines is important enough) // -Smooths the Vortex lines with an EMA // -Adds Take Profit and Stop Loss selection // -Adds the possibility to go Long only, Short only or both of them // ! notice that it uses 10% position size and 0.04% trade fee, found on some crypto exchanges futures contracts // Allows testing leverage with position size modification (values above 100% position size, to be done with caution) // Not an investment advice
Strategi Pine Script®
oleh guz12
6
PSAR + EMA/TEMA/RSI/OBVThe Parabolic Stop-and-Reservse (PSAR) is a trend indicator, intended to capture reversal signals and show entry and exit points. The PSAR is bullish when the PSAR is below the candle body (usually indicated by a dot) and bearish when the PSAR is above the candle body. The PSAR generally only moves in the direction of the trend, making it useful for markets with an upward or downward trend, as well as swing markets. It is weaker when the market it sideways, as it can be prone to frequent flips (bull-to-bear or vice versa) in markets where a predominant trend is not present. In order to combat the tendency for rapid swings in the PSAR, it is commonly paired with a second indicator. Often, this is a moving average (MA) to confirm the PSAR signal. Here is a common example: PSAR + 2 EMAs: A trade would consider entering long when the PSAR is bullish and the fast EMA is above the short EMA. PSAR + 3 EMAs: As above, but the trader could also add a very long EMA (200, for example) and use that as an additional filter. In addition to using EMA, other MAs can be used and may be more appropriate to certain instruments and timeframes. Using TEMA, for example, may result in less lag but introduce more noise. Likewise, the Ehler's MAMA is an option. Some traders use other indicators as PSAR confirmation signals, such as the relative strength index (RSI) on on-balance volume (OBV). The strategy is similar: bullish PSAR + RSI oversold = consider long entry bullish PSAR + OBV oscillator > 0 = consider long entry The strategy presented here is based on my PSAR + EMA + TEMA study. Any of the above strategies are supported by this script: 1. The PSAR is the primary signal. 2. Confirmation is provided by any of the following: EMA , TEMA , Ehler's MAMA , RSI , or OBV. 3. You may use a third EMA (set to 200 as the default) to filter entries -- if used, the strategy will only show signals if the price is above the third (additional) EMA . For example, a normal long signal would be a bullish PSAR + fast EMA > slow EMA + price > ema 200. In addition, you may use a SL, which is set to the PSAR dots shown. You may also limit the backtesting dates. (Please note in the chart above, I do not have a limit on the trading dates. I believe this exaggerates the success of the strategy, but the house rules demand I not limit the timeframe to show you a more accurate picture.)
Strategi Pine Script®
oleh UnknownUnicorn19826629
6
Price Change Scalping Strategy v1.0 - 3Commas EditionIntroduction This strategy implements the Price Change Scalping (PCS) strategy specifically for the 3Commas platform. The Input settings have been redesigned to match the same inputs as the 3Commas My Bot Settings page. Only the "Deal Start Condition" section will echo the required PCS-related settings found in the original Price Change Scalping Strategy v1.0 to successfully implement the strategy. The strategy uses a price rate of change (ROC) momentum calculation to determine the percent change in price between a defined range of bars. The calculated ROC value is then compared to the Upper Threshold and Lower Threshold values to determine if a trade setup is to be activated. If the threshold is crossed, a trade setup will occur based on the indicator settings. Entry, Take Profit, and Stop Loss prices are calculated and displayed on the chart. Once the Entry Price is crossed, a long or short position is created (depending on the direction) and once the Take Profit price is crossed, the position is closed. If the Entry Price is not crossed within a specific number of bars, the trade setup is canceled, and it will proceed to monitor price changes for the next set up. How is it original and useful? This strategy is unique in that the strategy version fully supports the TradingView backtester, which will enable you to perform experiments with various settings to evaluate performance using the historical chart data. The study version implements the "Start Deal" and "Close Deal" alerts for you to integrate with 3Comma's "Trading View Custom Signal" start condition. Both script versions will provide the same configuration abilities. The following list is a brief description of its usefulness: Full support for all possible 3Commas bot settings. Define a short or long trading strategy. Price change data source and offset settings. Your layering placement relative to the entry price. Your trading parameters like take profit and stop loss offsets, trailing take profit support, exchange commission rates, trading start time, and order size multiplication for each layer. Flexible trade eligibility rules that can use other chart indicators, like RSI or EMA, to exclude the selection of entry prices for trading. The visibility of detailed statistics from the chart history pertaining to trading sessions started and closed, session durations, win rate, price action drops and bounces, as well as layer utilization. The visibility of detailed Used Amount for Each Step table that details how each layer will be allocated for trading. How does it compare to other scripts in the Public Library? The strategy offers a very detailed, comprehensive settings to address all types of markets found on TradingView where you can implement the price change scalping strategy. The strategy version can be considered the first of its kind on TradingView to leverage the backtester to provide informative, detailed performance measurements surrounding this unique trading strategy. The study version will implement the latest alert framework called "Any Alert() Function" where you can create a single alert to handle multiple events, which include: Deal Start Deal Close Strategy Results The default settings are designed to define a "loose" price change settings to ensure that the indicator will render chart elements when first loaded as well as to allow the backtester to gather order executions and display performance summary. The strategy version is using $10,000 initial capital, a commission rate of 0.1% for both entries and exits, and a 1 tick slippage setting. It is also using 3.4881% of the equity for the Base Order Size, 4.7097% of equity for the first Safety Order Size. The Maximum Safety Trade Count is 7 with a Safety Order Volume Scale of 1.33, and a take profit of 2% with no stop loss. All other settings are defaults. It is recommended that the indicator be "tuned" for your specific market to best implement the price change strategy and obtain better desirable results. You do so by scrolling through the chart's history and observing moments when prices tend to move rapidly. Measure the number or bars it typically takes for the price to change at a specific rate. Using this information, you can adjust the Price Change Settings accordingly to configure the indicator for the chart. Always keep in mind that past performance may not be indicative of future results. Settings that seem favorable for one market may be found to be disastrous in another. Therefore, do take the time needed to understand how the settings will behave with the given chart symbol. Enjoy! 😊👍 How to obtain access to the script? You have two choices: Use the "Website" link below to obtain access to this indicator, or Send us a private message (PM) in TradingView itself.
Strategi Pine Script®
oleh prosum_solutions
29
Price Change Scalping Strategy v1.0Introduction This strategy uses a price rate of change (ROC) momentum calculation to determine the percent change in price between a defined range of bars. The calculated ROC value is then compared to the Upper Threshold and Lower Threshold values to determine if a trade setup is to be activated. If the threshold is crossed, a trade setup will occur based on the indicator settings. Entry, Take Profit, and Stop Loss prices are calculated and displayed on the chart. Once the Entry Price is crossed, a long or short position is created (depending on the direction) and once the Take Profit price is crossed, the position is closed. If the Entry Price is not crossed within a specific number of bars, the trade setup is canceled, and it will proceed to monitor price changes for the next set up. How is it original and useful? This strategy is unique in that the strategy version fully supports the TradingView backtester, which will enable you to perform experiments with various settings to evaluate performance using the historical chart data. The study version implements numerous custom alerts for you to build TradingView notifications around specific price action events and stay informed with market activity in real-time. Both script versions will provide the same configuration abilities where you can define: Define a short or long trading strategy. Price change data source and offset settings. Your layering placement relative to the entry price. Your trading parameters like take profit and stop loss offsets, exchange commission rates, trading start time, and order size multiplication for each layer. Flexible trade eligibility rules that can use other chart indicators, like RSI or EMA, to exclude the selection of entry prices for trading. The visibility of detailed statistics from the chart history pertaining to trading sessions started and closed, session durations, win rate, price action drops and bounces, as well as layer utilization. How does it compare to other scripts in the Public Library? The strategy offers a very detailed, comprehensive settings to address all types of markets found on TradingView where you can implement the price change scalping strategy. The strategy version can be considered the first of its kind on TradingView to leverage the backtester to provide informative, detailed performance measurements surrounding this unique trading strategy. The study version will contain numerous custom alerts to aid in your notification preferences and stay informed on the indicator's activities: Price Crossed Above Threshold Price Crossed Below Threshold Enter Long Position Exit Long Position Enter Short Position Exit Short Position Price Crossed DCA Layer 1 (Long) Price Crossed DCA Layer 2 (Long) Price Crossed DCA Layer 3 (Long) Price Crossed DCA Layer 4 (Long) Price Crossed DCA Layer 5 (Long) Price Crossed DCA Layer 6 (Long) Price Crossed DCA Layer 7 (Long) Price Crossed DCA Layer 8 (Long) Price Crossed DCA Layer 1 (Short) Price Crossed DCA Layer 2 (Short) Price Crossed DCA Layer 3 (Short) Price Crossed DCA Layer 4 (Short) Price Crossed DCA Layer 5 (Short) Price Crossed DCA Layer 6 (Short) Price Crossed DCA Layer 7 (Short) Price Crossed DCA Layer 8 (Short) Strategy Results The default settings are designed to define a "loose" price change settings to ensure that the indicator will render chart elements when first loaded as well as to allow the backtester to gather order executions and display performance summary. The strategy version is using $10,000 initial capital, a commission rate of 0.1% for both entries and exits, and a 1 tick slippage setting. It is also using 2.74506% of the equity with a Order Size Multiplier of 1.33, using 8 total DCA layers, and a take profit of 2% with no stop loss. All other settings are defaults. It is recommended that the indicator be "tuned" for your specific market in order to best implement the price change strategy and obtain better desirable results. You do so by scrolling through the chart's history and observing moments when prices tend to move rapidly. Measure the number or bars it typcially takes for the price to change at a specific rate. Using this information, you can adjust the Price Change Settings accordingly to configure the indicator for the chart. Always keep in mind that past performance may not be indicative of future results. Settings that seem favorable for one market may be found to be disastrous in another. Therefore, do take the time needed to understand how the settings will behave with the given chart symbol. Enjoy! 😊👍 How to obtain access to the script? You have two choices: Use the "Website" link below to obtain access to this indicator, or Send us a private message (PM) in TradingView itself.
Strategi Pine Script®
oleh prosum_solutions
8
Hophop Reversion Strategy █  OVERVIEW Mean reversion is a financial term assuming that an asset's price will tend to converge to the average price over time. Due to the trending nature of the crypto markets, mean reversion on a high timeframe could be pretty dangerous. When it comes to running mean reversion strategy on low timeframe, commission and slippage may cost more than strategy gains. In this strategy, I tried to achieve being conservative in the trending market while avoiding trades if necessary and trading high probability reversion opportunities . █  CONCEPTS Strategy is build based on the combination of the momentum and the historical / implied volatility; when the price exceeds the potential volatility range, the strategy places the orders, and the target point is the mean of the expected range high and range low. The range low and high lines displayed on the chart shows where to short or long, to make sure that the orders are limit orders; orders are placed 0.5% above/below the ranges! Key information about the strategy  • All the orders are limit entry  • 0.02% commission is included in the backtest  • 30 ticks set for Verify Price Limit for Orders  • 30 ticks set for Slippage  • Initial version does not include the money management and hard stops hence you need to be extra cautious in trending markets  • Restricted to be used for BTC and ETH for 15 min timeframe █  Ozet Ortalamaya dönme, bir varlığın fiyatının zaman içinde ortalama fiyata yakınsama eğiliminde olacağını varsayan bir finansal terimdir. Kripto piyasalarının trend egilimli doğası nedeniyle, yüksek zaman diliminde ortalamaya dönüş oldukça tehlikeli olabilir. Ortalama geri dönüş stratejisini düşük zaman diliminde calistirmak söz konusu olduğunda, komisyon ve kayma, strateji kazanımlarından daha pahalıya mal olabilir. Bu stratejide, gerektiğinde alım satımlardan kaçınırken ve yüksek olasılıklı ortalamaya dönüş fırsatlarını degerlendiren, trend olan piyasada ise isleme girerken temkinli olmasi uzerine calistim █  Aciklama Strateji, momentum ve tarihsel / zımni oynaklığın birleşimine dayalı olarak inşa edilmistir; fiyat potansiyel oynaklık aralığını aştığında, strateji emirleri verir ve hedef nokta, beklenen yüksek aralığın ve düşük aralığın ortalamasıdır. Grafikte görüntülenen aralık alt ve üst satırları, Stratejiye ait onemli bilgiler/b]  • Tüm emirler limit emirdir girişlidir  • Backtest performansinda %0.02 komisyon dahildir  • Limit Emir fiyat dogrulamasi icin 30 tick bekleme kullanilmistir  • Slippage için 30 tick bekleme kullanilmistir  • İlk sürüm para yönetimini ve stoploss içermez, bu nedenle trend olan piyasalarda ekstra dikkatli olmanız gerekir.  • 15 dakikalık zaman dilimi ile BTC ve ETH için kullanımla sınırlıdır Emirlerin limit emir olduğundan emin olmak için nerede short veya long isleme girilecegini gosteren cizgilerin %0.5 üstünde/altında verilir!
Strategi Pine Script®
oleh hophop
5
MACD + DMI Scalping with Volatility Stop by (Coinrule)Trend-following strategies are cool because they allow you to catch potential high returns. The main limit of such strategies are: False signals > the asset is not experiencing a strong trend. The strategy gets stuck with a sideways move or, worst, with the beginning of a downtrend. The sell signal may come later than the actual top, leading in some cases to turn a trade in profit into a loss. This strategy tries to address these limitations to develop a trading system that optimises the entry and closes trade once the profit achieves a pre-set level. ENTRY The trading system uses the MACD and the DMI to confirm when is the best time for buying. Combining these two indicators prevents trading during downtrends and reduces the likelihood of getting stuck in a market with low volatility. The system confirms the entry when: The MACD histogram turns bullish. When the positive DMI is greater than the negative DMI, there are more chances that the asset is trading in a sustained uptrend. EXIT The strategy comes with a fixed take profit combined with a volatility stop, which acts as a trailing stop to adapt to the trend's strength. Depending on your long term confidence in the asset, you can edit the fixed take profit to be more conservative or aggressive. The position is closed when: The price increases by 3% The price crosses below the volatility stop. The best time frame for this strategy based on our backtest is the 3-hr . The 4-hr can work well. In general, this approach suits medium to long term strategies The strategy assumes each order to trade 30% of the available capital to make the results more realistic. A trading fee of 0.1% is taken into account. The fee is aligned to the base fee applied on Binance, which is the largest cryptocurrency exchange.
Strategi Pine Script®
oleh Coinrule
1
Webhook Starter Kit [HullBuster] Introduction This is an open source strategy which provides a framework for webhook enabled projects. It is designed to work out-of-the-box on any instrument triggering on an intraday bar interval. This is a full featured script with an emphasis on actual trading at a brokerage through the TradingView alert mechanism and without requiring browser plugins. The source code is written in a self documenting style with clearly defined sections. The sections “communicate” with each other through state variables making it easy for the strategy to evolve and improve. This is an excellent place for Pine Language beginners to start their strategy building journey. The script exhibits many Pine Language features which will certainly ad power to your script building abilities. This script employs a basic trend follow strategy utilizing a forward pyramiding technique. Trend detection is implemented through the use of two higher time frame series. The market entry setup is a Simple Moving Average crossover. Positions exit by passing through conditional take profit logic. The script creates ten indicators including a Zscore oscillator to measure support and resistance levels. The indicator parameters are exposed through 47 strategy inputs segregated into seven sections. All of the inputs are equipped with detailed tool tips to help you get started. To improve the transition from simulation to execution, strategy.entry and strategy.exit calls show enhanced message text with embedded keywords that are combined with the TradingView placeholders at alert time. Thereby, enabling a single JSON message to generate multiple execution events. This is genius stuff from the Pine Language development team. Really excellent work! This document provides a sample alert message that can be applied to this script with relatively little modification. Without altering the code, the strategy inputs can alter the behavior to generate thousands of orders or simply a few dozen. It can be applied to crypto, stocks or forex instruments. A good way to look at this script is as a webhook lab that can aid in the development of your own endpoint processor, impress your co-workers and have hours of fun. By no means is a webhook required or even necessary to benefit from this script. The setups, exits, trend detection, pyramids and DCA algorithms can be easily replaced with more sophisticated versions. The modular design of the script logic allows you to incrementally learn and advance this script into a functional trading system that you can be proud of. Design This is a trend following strategy that enters long above the trend line and short below. There are five trend lines that are visible by default but can be turned off in Section 7. Identified, in frequency order, as follows: 1. - EMA in the chart time frame. Intended to track price pressure. Configured in Section 3. 2. - ALMA in the higher time frame specified in Section 2 Signal Line Period. 3. - Linear Regression in the higher time frame specified in Section 2 Signal Line Period. 4. - Linear Regression in the higher time frame specified in Section 2 Signal Line Period. 5. - DEMA in the higher time frame specified in Section 2 Trend Line Period. The Blue, Green and Orange lines are signal lines are on the same time frame. The time frame selected should be at least five times greater than the chart time frame. The Purple line represents the trend line for which prices above the line suggest a rising market and prices below a falling market. The time frame selected for the trend should be at least five times greater than the signal lines. Three oscillators are created as follows: 1. Stochastic - In the chart time frame. Used to enter forward pyramids. 2. Stochastic - In the Trend period. Used to detect exit conditions. 3. Zscore - In the Signal period. Used to detect exit conditions. The Stochastics are configured identically other than the time frame. The period is set in Section 2. Two Simple Moving Averages provide the trade entry conditions in the form of a crossover. Crossing up is a long entry and down is a short. This is in fact the same setup you get when you select a basic strategy from the Pine editor. The crossovers are configured in Section 3. You can see where the crosses are occurring by enabling Show Entry Regions in Section 7. The script has the capacity for pyramids and DCA. Forward pyramids are enabled by setting the Pyramid properties tab with a non zero value. In this case add on trades will enter the market on dips above the position open price. This process will continue until the trade exits. Downward pyramids are available in Crypto and Range mode only. In this case add on trades are placed below the entry price in the drawdown space until the stop is hit. To enable downward pyramids set the Pyramid Minimum Span In Section 1 to a non zero value. This implementation of Dollar Cost Averaging (DCA) triggers off consecutive losses. Each loss in a run increments a sequence number. The position size is increased as a multiple of this sequence. When the position eventually closes at a profit the sequence is reset. DCA is enabled by setting the Maximum DCA Increments In Section 1 to a non zero value. It should be noted that the pyramid and DCA features are implemented using a rudimentary design and as such do not perform with the precision of my invite only scripts. They are intended as a feature to stress test your webhook endpoint. As is, you will need to buttress the logic for it to be part of an automated trading system. It is for this reason that I did not apply a Martingale algorithm to this pyramid implementation. But, hey, it’s an open source script so there is plenty of room for learning and your own experimentation. How does it work The overall behavior of the script is governed by the Trading Mode selection in Section 1. It is the very first input so you should think about what behavior you intend for this strategy at the onset of the configuration. As previously discussed, this script is designed to be a trend follower. The trend being defined as where the purple line is predominately heading. In BiDir mode, SMA crossovers above the purple line will open long positions and crosses below the line will open short. If pyramiding is enabled add on trades will accumulate on dips above the entry price. The value applied to the Minimum Profit input in Section 1 establishes the threshold for a profitable exit. This is not a hard number exit. The conditional exit logic must be satisfied in order to permit the trade to close. This is where the effort put into the indicator calibration is realized. There are four ways the trade can exit at a profit: 1. Natural exit. When the blue line crosses the green line the trade will close. For a long position the blue line must cross under the green line (downward). For a short the blue must cross over the green (upward). 2. Alma / Linear Regression event. The distance the blue line is from the green and the relative speed the cross is experiencing determines this event. The activation thresholds are set in Section 6 and relies on the period and length set in Section 2. A long position will exit on an upward thrust which exceeds the activation threshold. A short will exit on a downward thrust. 3. Exponential event. The distance the yellow line is from the blue and the relative speed the cross is experiencing determines this event. The activation thresholds are set in Section 3 and relies on the period and length set in the same section. 4. Stochastic event. The purple line stochastic is used to measure overbought and over sold levels with regard to position exits. Signal line positions combined with a reading over 80 signals a long profit exit. Similarly, readings below 20 signal a short profit exit. Another, optional, way to exit a position is by Bale Out. You can enable this feature in Section 1. This is a handy way to reduce the risk when carrying a large pyramid stack. Instead of waiting for the entire position to recover we exit early (bale out) as soon as the profit value has doubled. There are lots of ways to implement a bale out but the method I used here provides a succinct example. Feel free to improve on it if you like. To see where the Bale Outs occur, enable Show Bale Outs in Section 7. Red labels are rendered below each exit point on the chart. There are seven selectable Trading Modes available from the drop down in Section 1: 1. Long - Uses the strategy.risk.allow_entry_in to execute long only trades. You will still see shorts on the chart. 2. Short - Uses the strategy.risk.allow_entry_in to execute short only trades. You will still see long trades on the chart. 3. BiDir - This mode is for margin trading with a stop. If a long position was initiated above the trend line and the price has now fallen below the trend, the position will be reversed after the stop is hit. Forward pyramiding is available in this mode if you set the Pyramiding value in the Properties tab. DCA can also be activated. 4. Flip Flop - This is a bidirectional trading mode that automatically reverses on a trend line crossover. This is distinctively different from BiDir since you will get a reversal even without a stop which is advantageous in non-margin trading. 5. Crypto - This mode is for crypto trading where you are buying the coins outright. In this case you likely want to accumulate coins on a crash. Especially, when all the news outlets are talking about the end of Bitcoin and you see nice deep valleys on the chart. Certainly, under these conditions, the market will be well below the purple line. No margin so you can’t go short. Downward pyramids are enabled for Crypto mode when two conditions are met. First the Pyramiding value in the Properties tab must be non zero. Second the Pyramid Minimum Span in Section 1 must be non zero. 6. Range - This is a counter trend trading mode. Longs are entered below the purple trend line and shorts above. Useful when you want to test your webhook in a market where the trend line is bisecting the signal line series. Remember that this strategy is a trend follower. It’s going to get chopped out in a range bound market. By turning on the Range mode you will at least see profitable trades while stuck in the range. However, when the market eventually picks a direction, this mode will sustain losses. This range trading mode is a rudimentary implementation that will need a lot of improvement if you want to create a reliable switch hitter (trend/range combo). 7. No Trade. Useful when setting up the trend lines and the entry and exit is not important. Once in the trade, long or short, the script tests the exit condition on every bar. If not a profitable exit then it checks if a pyramid is required. As mentioned earlier, the entry setups are quite primitive. Although they can easily be replaced by more sophisticated algorithms, what I really wanted to show is the diminished role of the position entry in the overall life of the trade. Professional traders spend much more time on the management of the trade beyond the market entry. While your trade entry is important, you can get in almost anywhere and still land a profitable exit. If DCA is enabled, the size of the position will increase in response to consecutive losses. The number of times the position can increase is limited by the number set in Maximum DCA Increments of Section 1. Once the position breaks the losing streak the trade size will return the default quantity set in the Properties tab. It should be noted that the Initial Capital amount set in the Properties tab does not affect the simulation in the same way as a real account. In reality, running out of money will certainly halt trading. In fact, your account would be frozen long before the last penny was committed to a trade. On the other hand, TradingView will keep running the simulation until the current bar even if your funds have been technically depleted. Entry and exit use the strategy.entry and strategy.exit calls respectfully. The alert_message parameter has special keywords that the endpoint expects to properly calculate position size and message sequence. The alert message will embed these keywords in the JSON object through the {{strategy.order.alert_message}} placeholder. You should use whatever keywords are expected from the endpoint you intend to webhook in to. Webhook Integration The TradingView alerts dialog provides a way to connect your script to an external system which could actually execute your trade. This is a fantastic feature that enables you to separate the data feed and technical analysis from the execution and reporting systems. Using this feature it is possible to create a fully automated trading system entirely on the cloud. Of course, there is some work to get it all going in a reliable fashion. Being a strategy type script place holders such as {{strategy.position_size}} can be embedded in the alert message text. There are more than 10 variables which can write internal script values into the message for delivery to the specified endpoint. Entry and exit use the strategy.entry and strategy.exit calls respectfully. The alert_message parameter has special keywords that my endpoint expects to properly calculate position size and message sequence. The alert message will embed these keywords in the JSON object through the {{strategy.order.alert_message}} placeholder. You should use whatever keywords are expected from the endpoint you intend to webhook in to. Here is an excerpt of the fields I use in my webhook signal: "broker_id": "kraken", "account_id": "XXX XXXX XXXX XXXX", "symbol_id": "XMRUSD", "action": "{{strategy.order.action}}", "strategy": "{{strategy.order.id}}", "lots": "{{strategy.order.contracts}}", "price": "{{strategy.order.price}}", "comment": "{{strategy.order.alert_message}}", "timestamp": "{{time}}" Though TradingView does a great job in dispatching your alert this feature does come with a few idiosyncrasies. Namely, a single transaction call in your script may cause multiple transmissions to the endpoint. If you are using placeholders each message describes part of the transaction sequence. A good example is closing a pyramid stack. Although the script makes a single strategy.close() call, the endpoint actually receives a close message for each pyramid trade. The broker, on the other hand, only requires a single close. The incongruity of this situation is exacerbated by the possibility of messages being received out of sequence. Depending on the type of order designated in the message, a close or a reversal. This could have a disastrous effect on your live account. This broker simulator has no idea what is actually going on at your real account. Its just doing the job of running the simulation and sending out the computed results. If your TradingView simulation falls out of alignment with the actual trading account lots of really bad things could happen. Like your script thinks your are currently long but the account is actually short. Reversals from this point forward will always be wrong with no one the wiser. Human intervention will be required to restore congruence. But how does anyone find out this is occurring? In closed systems engineering this is known as entropy. In practice your webhook logic should be robust enough to detect these conditions. Be generous with the placeholder usage and give the webhook code plenty of information to compare states. Both issuer and receiver. Don’t blindly commit incoming signals without verifying system integrity. Setup The following steps provide a very brief set of instructions that will get you started on your first configuration. After you’ve gone through the process a couple of times, you won’t need these anymore. It’s really a simple script after all. I have several example configurations that I used to create the performance charts shown. I can share them with you if you like. Of course, if you’ve modified the code then these steps are probably obsolete. There are 47 inputs divided into seven sections. For the most part, the configuration process is designed to flow from top to bottom. Handy, tool tips are available on every field to help get you through the initial setup. Step 1. Input the Base Currency and Order Size in the Properties tab. Set the Pyramiding value to zero. Step 2. Select the Trading Mode you intend to test with from the drop down in Section 1. I usually select No Trade until I’ve setup all of the trend lines, profit and stop levels. Step 3. Put in your Minimum Profit and Stop Loss in the first section. This is in pips or currency basis points (chart right side scale). Remember that the profit is taken as a conditional exit not a fixed limit. The actual profit taken will almost always be greater than the amount specified. The stop loss, on the other hand, is indeed a hard number which is executed by the TradingView broker simulator when the threshold is breached. Step 4. Apply the appropriate value to the Tick Scalar field in Section 1. This value is used to remove the pipette from the price. You can enable the Summary Report in Section 7 to see the TradingView minimum tick size of the current chart. Step 5. Apply the appropriate Price Normalizer value in Section 1. This value is used to normalize the instrument price for differential calculations. Basically, we want to increase the magnitude to significant digits to make the numbers more meaningful in comparisons. Though I have used many normalization techniques, I have always found this method to provide a simple and lightweight solution for less demanding applications. Most of the time the default value will be sufficient. The Tick Scalar and Price Normalizer value work together within a single calculation so changing either will affect all delta result values. Step 6. Turn on the trend line plots in Section 7. Then configure Section 2. Try to get the plots to show you what’s really happening not what you want to happen. The most important is the purple trend line. Select an interval and length that seem to identify where prices tend to go during non-consolidation periods. Remember that a natural exit is when the blue crosses the green line. Step 7. Enable Show Event Regions in Section 7. Then adjust Section 6. Blue background fills are spikes and red fills are plunging prices. These measurements should be hard to come by so you should see relatively few fills on the chart if you’ve set this up as intended. Section 6 includes the Zscore oscillator the state of which combines with the signal lines to detect statistically significant price movement. The Zscore is a zero based calculation with positive and negative magnitude readings. You want to input a reasonably large number slightly below the maximum amplitude seen on the chart. Both rise and fall inputs are entered as a positive real number. You can easily use my code to create a separate indicator if you want to see it in action. The default value is sufficient for most configurations. Step 8. Turn off Show Event Regions and enable Show Entry Regions in Section 7. Then adjust Section 3. This section contains two parts. The entry setup crossovers and EMA events. Adjust the crossovers first. That is the Fast Cross Length and Slow Cross Length. The frequency of your trades will be shown as blue and red fills. There should be a lot. Then turn off Show Event Regions and enable Display EMA Peaks. Adjust all the fields that have the word EMA. This is actually the yellow line on the chart. The blue and red fills should show much less than the crossovers but more than event fills shown in Step 7. Step 9. Change the Trading Mode to BiDir if you selected No Trades previously. Look on the chart and see where the trades are occurring. Make adjustments to the Minimum Profit and Stop Offset in Section 1 if necessary. Wider profits and stops reduce the trade frequency. Step 10. Go to Section 4 and 5 and make fine tuning adjustments to the long and short side. Example Settings To reproduce the performance shown on the chart please use the following configuration: (Bitcoin on the Kraken exchange) 1. Select XBTUSD Kraken as the chart symbol. 2. On the properties tab set the Order Size to: 0.01 Bitcoin 3. On the properties tab set the Pyramiding to: 12 4. In Section 1: Select “Crypto” for the Trading Model 5. In Section 1: Input 2000 for the Minimum Profit 6. In Section 1: Input 0 for the Stop Offset (No Stop) 7. In Section 1: Input 10 for the Tick Scalar 8. In Section 1: Input 1000 for the Price Normalizer 9. In Section 1: Input 2000 for the Pyramid Minimum Span 10. In Section 1: Check mark the Position Bale Out 11. In Section 2: Input 60 for the Signal Line Period 12. In Section 2: Input 1440 for the Trend Line Period 13. In Section 2: Input 5 for the Fast Alma Length 14. In Section 2: Input 22 for the Fast LinReg Length 15. In Section 2: Input 100 for the Slow LinReg Length 16. In Section 2: Input 90 for the Trend Line Length 17. In Section 2: Input 14 Stochastic Length 18. In Section 3: Input 9 Fast Cross Length 19. In Section 3: Input 24 Slow Cross Length 20. In Section 3: Input 8 Fast EMA Length 21. In Section 3: Input 10 Fast EMA Rise NetChg 22. In Section 3: Input 1 Fast EMA Rise ROC 23. In Section 3: Input 10 Fast EMA Fall NetChg 24. In Section 3: Input 1 Fast EMA Fall ROC 25. In Section 4: Check mark the Long Natural Exit 26. In Section 4: Check mark the Long Signal Exit 27. In Section 4: Check mark the Long Price Event Exit 28. In Section 4: Check mark the Long Stochastic Exit 29. In Section 5: Check mark the Short Natural Exit 30. In Section 5: Check mark the Short Signal Exit 31. In Section 5: Check mark the Short Price Event Exit 32. In Section 5: Check mark the Short Stochastic Exit 33. In Section 6: Input 120 Rise Event NetChg 34. In Section 6: Input 1 Rise Event ROC 35. In Section 6: Input 5 Min Above Zero ZScore 36. In Section 6: Input 120 Fall Event NetChg 37. In Section 6: Input 1 Fall Event ROC 38. In Section 6: Input 5 Min Below Zero ZScore In this configuration we are trading in long only mode and have enabled downward pyramiding. The purple trend line is based on the day (1440) period. The length is set at 90 days so it’s going to take a while for the trend line to alter course should this symbol decide to node dive for a prolonged amount of time. Your trades will still go long under those circumstances. Since downward accumulation is enabled, your position size will grow on the way down. The performance example is Bitcoin so we assume the trader is buying coins outright. That being the case we don’t need a stop since we will never receive a margin call. New buy signals will be generated when the price exceeds the magnitude and speed defined by the Event Net Change and Rate of Change. Feel free to PM me with any questions related to this script. Thank you and happy trading! CFTC RULE 4.41 These results are based on simulated or hypothetical performance results that have certain inherent limitations. Unlike the results shown in an actual performance record, these results do not represent actual trading. Also, because these trades have not actually been executed, these results may have under-or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated or hypothetical trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profits or losses similar to these being shown.
Strategi Pine Script®
oleh tradingtudi
10