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DELTA7 StrategyStrategy Tester Script for DELTA7. It includes all strategies in main scripts. However, be aware that DELTA7's main purpose was designed to be an analysis tool system and not a signal bot. DELTA7 System is a full-featured system with advanced chart-overlay and one augmented RSI oscillator that doesn't require any further indicators. It's a complete solution focused on being simple and minimal for a traders/investors that want to make decisions based on momentum, trend, price and market structure. Main scripts are found at These indicators have been published for private-use and paid customers. Access cannot be granted to anyone else. Thanks.
Estratégia Pine Script®
por D7R
17
Total Trend Follow Strategy with Pyramid and DCA Introduction This is a Pine 4 trend following strategy. It has a twin study with several alerts. The design intent is to produce a commercial grade signal generator that can be adapted to any symbol and interval. Ideally, the script is reliable enough to be the basis of an automated trading system web-hooked to a server with API access to crypto, forex and stock brokerages. The strategy can be run in three different modes: long, short and bidirectional. As a trend following strategy, the behavior of the script is to buy on strength and sell on weakness. As such the trade orders maintain its directional bias according to price pressure. What you will see on the chart is long positions on the left side of the mountain and short on the right. Long and short positions are not intermingled as long as there exists a detectable trend. This is extremely beneficial feature in long running bull or bear markets. The script uses multiple setups to avoid the situation where you got in on the trend, took a small profit but couldn’t get back in because the logic is waiting for a pullback or some other intricate condition. Deep draw-downs are a characteristic of trend following systems and this system is no different. However, this script makes use of the TradingView pyramid feature accessible from the properties tab. Additional trades can be placed in the draw-down space increasing the position size and thereby increasing the profit or loss when the position finally closes. Each individual add on trade increases its order size as a multiple of its pyramid level. This makes it easy to comply with NFA FIFO Rule 2-43(b) if the trades are executed here in America. The inputs dialog box contains various settings to adjust where the add on trades show up, under what circumstances and how frequent if at all. Please be advised that pyramiding is an advanced feature and can wipe out your account capital if your not careful. During the backtest use modest setting with realistic capital until you discover what you think you can handle. In addition to pyramiding this script employs DCA which enables users to experiment with loss recovery techniques. This is another advanced feature which can increase the order size on new trades in response to stopped out or winning streak trades. The script keeps track of debt incurred from losing trades. When the debt is recovered the order size returns to the base amount specified in the TV properties tab. The inputs for this feature include a limiter to prevent your account from depleting capital during runaway markets. The main difference between DCA and pyramids is that this implementation of DCA applies to new trades while pyramids affect open positions. DCA is a popular feature in crypto trading but can leave you with large “bags” if your not careful. In other markets, especially margin trading, you’ll need a well funded account and much experience. Consecutive loss limit can be set to report a breach of the threshold value. Every stop hit beyond this limit will be reported on a version 4 label above the bar where the stop is hit. Use the location of the labels along with the summary report tally to improve the adaptability of system. Don’t simply fit the chart. A good trading system should adapt to ever changing market conditions. On the study version the consecutive loss limit can be used to halt live trading on the broker side (Managed manually). Design This script uses nine indicators on two time frames. The chart (primary) interval and one higher time frame which is based on the primary. The higher time frame identifies the trend for which the primary will trade. I’ve tried to keep the higher time frame around five times greater than the primary. The original trading algorithms are a port from a much larger program on another trading platform. I’ve converted some of the statistical functions to use standard indicators available on TradingView. The setups make heavy use of the Hull Moving Average in conjunction with EMAs that form the Bill Williams Alligator as described in his book “New Trading Dimensions” Chapter 3. Lag between the Hull and the EMAs form the basis of the entry and exit points. The alligator itself is used to identify the trend main body. The entire script is around 1700 lines of Pine code which is the maximum incidental size given the TradingView limits: local scopes, run-time duration and compile time. I’ve been working on this script for over a year and have tested it on various instruments stocks, forex and crypto. It performs well on higher liquidity markets that have at least a year of historical data. Though it can be configured to work on any interval between 5 minutes and 1 day, trend trading is generally a longer term paradigm. For day trading the 10 to 15 minute interval will allow you to catch momentum breakouts. For intraweek trades 30 minutes to 1 hour should give you a trade every other a day. Four hours and above are for seasoned deep pocket traders. Originally, this script contained both range trading and trend following logic but had to be broken into separate scripts due to the aforementioned limitations. Inputs to the script use cone centric measurements in effort to avoid exposing adjustments to the various internal indicators. The goal was to keep the inputs relevant to the actual trade entry and exit locations as opposed to a series of MA input values and the like. As a result the strategy exposes over 50 inputs grouped into long or short sections. Inputs are available for the usual minimum profit and stop-loss as well as safeguards, trade frequency, DCA, modes, presets, reports and lots of calibrations. The inputs are numerous, I’m aware. Unfortunately, at this time, TradingView does not offer any other method to get data in the script. The usual initialization files such as cnf, cfg, ini, json and xml files are currently unsupported. Example configurations for various instruments along with a detailed PDF user manual is available. Indicator Repainting And Anomalies Indicator repainting is an industry wide problem which mainly occurs when you mix backtest data with real-time data. It doesn't matter which platform you use some form of this condition will manifest itself on your chart over time. The critical aspect being whether live trades on your broker’s account continue to match your TradingView study. Since this trading system is featured as two separate scripts, indicator repainting is addressed in the study version. The strategy (this script) is intended to be used on historical data to determine the appropriate trading inputs to apply in the study. As such, the higher time frame of this strategy will indeed repaint. Please do not attempt to trade from the strategy. Please see the study version for more information. One issue that comes up when comparing the strategy with the study is that the strategy trades show on the chart one bar later than the study. This problem is due to the fact that “strategy.entry()” and “strategy_exit()” do not execute on the same bar called. The study, on the other hand, has no such limitation since there are no position routines. However, alerts that are subsequently fired off when triggered in the study are dispatched from the TradingView servers one bar later from the study plot. Therefore the alert you actually receive on your cell phone matches the strategy plot but is one bar later than the study plot. A lot can happen in four hours if you are trading off a 240 bar. Please be aware that the data source matters. Cryptocurrency has no central tick repository so each exchange supplies TradingView its feed. Even though it is the same symbol the quality of the data and subsequently the bars that are supplied to the chart varies with the exchange. This script will absolutely produce different results on different data feeds of the same symbol. Be sure to backtest this script on the same data you intend to receive alerts for. Any example settings I share with you will always have the exchange name used to generate the test results. Usage The following steps provide a very brief set of instructions that will get you started but will most certainly not produce the best backtest. A trading system that you are willing to risk your hard earned capital will require a well crafted configuration that involves time, expertise and clearly defined goals. As previously mentioned, I have several example configs that I use for my own trading that I can share with you along with a PDF which describes each input in detail. To get hands on experience in setting up your own symbol from scratch please follow the steps below. The input dialog box contains over 50 inputs separated into seven sections. Each section is identified as such with a makeshift separator input. There are three main areas that must to be configured: long side, short side and settings that apply to both. The rest of the inputs apply to pyramids, DCA, reporting and calibrations. The following steps address these three main areas only. You will need to get your backtest in the black before moving on to the more advanced features Step 1. Setup the Base currency and order size in the properties tab. Step 2. Select the calculation presets in the Instrument Type field. Step 3. Select “No Trade” in the Trading Mode field. Step 4. Select the Histogram indicator from section 3. You will be experimenting with different ones so it doesn’t matter which one you try first. Step 5. Turn on Show Markers in Section 3. Step 6. Go to the chart and checkout where the markers show up. Blue is up and red is down. Long trades show up along the blue markers and short trades on the red. Step 7. Make adjustments to Base To Vertex and Vertex To Base net change and roc in section 3. Use these fields to move the markers to where you want trades to be. Blue is long and red is short. Step 8. Try a different indicator from section 3 and repeat Step 7 until you find the best match for this instrument on this interval. This step is complete when the Vertex settings and indicator combination produce the most favorable results. Step 9. Turn off Show Markers in Section 3. Step 10. Enable the Symmetrical and Deviation calculation models at the top of section 5 and 6 (Symmetrical, Deviation). Step 11. Put in your Minimum Profit and Stop Loss in the first section. This is in pips or currency basis points (chart right side scale)
 Step 12. Return to step 3 and select a Trading Mode (Long, Short, BiDir, Flip Flop). If you are planning to trade bidirectionally its best to configure long first then short. Combine them with BiDir or Flip Flop after setting up both sides of the trade individually.
 Step 13. Trades should be showing on the chart. Step 14. Make adjustments to the Vertex fields in section 3 until the TradingView performance report is showing a profit. Step 15. Change indicators and repeat step 14. Pick the best indicator. Step 16. Use the check boxes in sections 5 and 6 to improve the performance of each side. Step 17. Try adding the Correlation calculation model to either side. This model can sometimes produce a negative result but can be improved by enabling “Adhere To Markers” or “Narrow Correlation Scope” in the sections 5 and 6. Step 18. Enable the reporting conditions in section 7. Look for long runs of consecutive losses or high debt sequences. These are indications that your trading system cannot withstand sudden changes in market sentiment. Step 19. Examine the chart and see that trades are being placed in accordance with your desired trading model. Step 20. Apply the backtest settings to the study version and perform forward testing. This script is open for beta testing. After successful beta test it will become a commercial application available by subscription only. I’ve invested quite a lot of time and effort into making this the best possible signal generator for all of the instruments I intend to trade. I certainly welcome any suggestions for improvements. Thank you all in advance.
Estratégia Pine Script®
por tradingtudi
36
Combo Strategy 123 Reversal & Commodity Selection Index This is combo strategies for get a cumulative signal. First strategy This System was created from the Book "How I Tripled My Money In The Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies. The strategy buys at market, if close price is higher than the previous close during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50. The strategy sells at market, if close price is lower than the previous close price during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50. Second strategy The Commodity Selection Index ("CSI") is a momentum indicator. It was developed by Welles Wilder and is presented in his book New Concepts in Technical Trading Systems. The name of the index reflects its primary purpose. That is, to help select commodities suitable for short-term trading. A high CSI rating indicates that the commodity has strong trending and volatility characteristics. The trending characteristics are brought out by the Directional Movement factor in the calculation--the volatility characteristic by the Average True Range factor. Wilder's approach is to trade commodities with high CSI values (relative to other commodities). Because these commodities are highly volatile, they have the potential to make the "most money in the shortest period of time." High CSI values imply trending characteristics which make it easier to trade the security. The Commodity Selection Index is designed for short-term traders who can handle the risks associated with highly volatile markets. WARNING: - For purpose educate only - This script to change bars colors.
Estratégia Pine Script®
por HPotter
EMA X BF 🚀EMA Crossover Strategy A simple EMA cross is a useful indication of a change in direction of a trend and is a very popular tool in trading. It can also be useful to judge price action momentum or severity by looking at the angle of the 2 EMAs, or the distance between them. There are 2 Exponential Moving Averages, one fast and one slow. When the fast EMA crosses above the slow EMA, this can be considered bullish and may signal an upside move. Conversely, a cross to the downside of the fast EMA under the slow EMA can be considered bearish. This strategy uses the same principle but uses different sources for the 2 EMAs; instead of using close values, we use ohlc4 values for the fast EMA and hlc3 values for the slow EMA. The idea is that a trader might enter a long position upon a cross up and reverse position and go short upon the next cross down. We use a simple 6% stop loss for both long and short positions. This strategy is tuned to a 6hr chart for Bitcoin USD pairs. INSTRUCTIONS Go Long when the background is green Go short when the background is red White background means sideways market: a no trade zone
Estratégia Pine Script®
por bennef
QuantCat Chande Swinger StrategyQuantCat Chande Swinger This strategy is designed to be used on the 1 minute with mainly bitcoin, and cryptocurrencies. But parameters can be adjusted to ANY pair. After some long research about chande momentum oscillator, I decided to create a strategy using normal distribution percentage levels to snipe entries. This in turn on the 1 minute can create a nice profit over a consecutive amount of days, the end goal is to get a stronger version of this strategy running on a bot and print some money. This strategy is tightly defined, and can be loosened up to make more trades too- giving a higher sample size and better sharpe ratio. The strategy checks to see if the Chande value is in an extreme percentile based on the last few hundred chande values- if it is it will open a position. No stoploss or take profit implemented into the swinger yet, but this will be the next addition to really minimise loss and amplify potential profits. Any liquid crypto pair on the low timesframes will net a good result with this strategy. We also have a free 15M and 1H strategy available too. You can join our discord server to get live alerts for the strategies as well as speak to our devs! Link in signature below!!!
Estratégia Pine Script®
por QuantCat
Lagless Momentum StrategyThis is a premium strategy is based off of moving averages and has been backtested in MT4 over 10 years of 4H data to determine profitability. Parameters: Fast EMA: the fast moving average to use Slow EMA: the slow moving average to use Smoothing: how sensitive you want the indicator to be to price SL Activation: The Stop Loss to use TP Activation: The Target Price to use Please feel free to ask any questions. I have determined to only sell scripts that I would personally use myself. The price for lifetime access is $199 and I will give a 3-day trial. Thanks!
Estratégia Pine Script®
por jwammo12
Commodity Selection Index Backtest The Commodity Selection Index ("CSI") is a momentum indicator. It was developed by Welles Wilder and is presented in his book New Concepts in Technical Trading Systems. The name of the index reflects its primary purpose. That is, to help select commodities suitable for short-term trading. A high CSI rating indicates that the commodity has strong trending and volatility characteristics. The trending characteristics are brought out by the Directional Movement factor in the calculation--the volatility characteristic by the Average True Range factor. Wilder's approach is to trade commodities with high CSI values (relative to other commodities). Because these commodities are highly volatile, they have the potential to make the "most money in the shortest period of time." High CSI values imply trending characteristics which make it easier to trade the security. The Commodity Selection Index is designed for short-term traders who can handle the risks associated with highly volatile markets. WARNING: - For purpose educate only - This script to change bars colors.
Estratégia Pine Script®
por HPotter
ck - Inner Bars Strategy v1*** Please check out the matching Indicator to accompany this Strategy to allow you to fully backtest! *** Inner Bar trading strategy is where the "inside" bar (or candle to the right) within a pair is smaller and within the high to low range of the prior bar, as this pattern tends to be somewhat predictable; especially in "chop" or sideways trading, it is useful to have in your tool box. Features include: Complimentary Indicator you can add as well as this strategy to backtest and tune your settings before live trading Trailing Stoploss to wring every cent from a trade Indicator only: Clear Alert labels have been coded in for use with trading bots, 3commas is recommended. Enable/Disable Shorts in addition to Longs A further feature is that you can disable Shorts (therefore only Longing) for use with exchanges that only allow you to Long, such as Binance & Coinbase. Additionally, this Indicator will close a trade before opening the next, so a single exchange account (BitMEX for example) is all that is required versus having separate accounts to long or short on the same chart. This strategy is intended to use $100 of capital, traded at 2.5% per order with 10x lev on Bitmex. If you like my work, please use my referral links (you will receive discounts!) 3commas trading bots (now with Bitmex support and a lot more!) - 3commas.io BitMEX - www.bitmex.com If you have any comments or suggestions, please message me via TradingView. Based on the core "Inner Bars" concept found at: backtest-rookies.com with original inspiration/idea from babypips.com
Estratégia Pine Script®
por ChrisKaye
1
Ehlers Cycle StrategyThis uses Ehlers methods to create a cycle trading strategy. It finds the dominant cycle in the market, then creates filters out noise to create an oscillator. It then creates a trigger line using momentum to predict a reversal in price. Finally, Ehlers Empirical Mode Discriminator is used to evaluate trends and eliminate trading against the trend. Shout out to HPotter, Everget, and LazyBear for implementing many of Ehlers indicators, which I sampled to create this indicator and strategy.
Estratégia Pine Script®
por jwammo12
3
Bitcoin Acceleration StrategyThe objective for this strategy was to reduce the standard divination of bitcoin returns through risk management, this is done with both long and short trades. It looks to get on board when a trend is detected and adds to the position to average out all entry points. When the momentum begins to decelerate all trades are closed. In short trades it looks for a capitulation structure to exit. 50% of these trades will usually be in profit and 50% will usually be a loss, however profits are 3x larger than losses. I am also pleased that the algorithm shorted through the recent crash. To demonstrate that the deviation of retuns of the strategy is lower than hodling, I leaveraged the strategy to a similar drawdown level to hodling so that you can compare the two. When risk adjusted, my strategy beats buy and hold returns by about 600%, although I am personally trading the strategy unleaveraged. Message me for details on granting access
Estratégia Pine Script®
por JamesRkaye
3