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ETF 3-Day Reversion StrategyIntroduction: This strategy is a modification of the “3-day Mean Reversion Strategy” from the book "High Probability ETF Trading" by Larry Connors and Cesar Alvarez. In the book, the authors discuss a high-probability ETF mean reversion strategy for a 1-day time-frame with these simple rules: The price must be above the 200 day SMA and below the 5 day SMA. The low of today must be lower than the low of yesterday (must be true for 3 consecutive days) The high of today must be lower than the high of yesterday (must be true for 3 consecutive days) If the 3 rules above are true, then buy on the close of the current day. Exit when the closing price crosses above the 5 day SMA. In practice and in backtesting, I’ve found that the strategy consistently works better when using an EMA for the trend-line instead of an SMA. So, this script uses an EMA for the trend-line. I’ve also made the length of the exit EMA adjustable. How it works: The Strategy will buy when the buy conditions above are true. The strategy will sell when the closing price crosses over the Exit Moving Average Plots: Green line = Exit Moving Average (Default 5 Day EMA) Blue line = 5 Day EMA (Used as Entry Criteria) Disclaimer: Open-source scripts I publish in the community are largely meant to spark ideas that can be used as building blocks for part of a more robust trade management strategy. If you would like to implement a version of any script, I would recommend making significant additions/modifications to the strategy & risk management functions. If you don’t know how to program in Pine, then hire a Pine-coder. We can help!
Pine Script™ strategy
by TradeAutomation
7
ETF / Stocks / Crypto - DCA Strategy v1Simple "benchmark" strategy for ETFs, Stocks and Crypto! Super-easy to implement for beginners, a DCA (dollar-cost-averaging) strategy means that you buy a fixed amount of an ETF / Stock / Crypto every several months. For instance, to DCA the S&P 500 (SPY), you could purchase $10,000 USD every 12 months, irrespective of the market price. Assuming the macro-economic conditions of the underlying country remain favourable, DCA strategies will result in capital gains over a period of many years, e.g. 10 years. DCA is the safest strategy that beginners can employ to make money in the markets, and all other types of strategies should be "benchmarked" against DCA; if your strategy cannot outperform DCA, then your strategy is useless. Recommended Chart Settings: Asset Class: ETF / Stocks / Crypto Time Frame: H1 (Hourly) / D1 (Daily) / W1 (Weekly) / M1 (Monthly) Necessary ETF Macro Conditions: 1. Country must have healthy demographics, good ratio of young > old 2. Country population must be increasing 3. Country must be experiencing price-inflation Necessary Stock Conditions: 1. Growing revenue 2. Growing net income 3. Consistent net margins 4. Higher gross/net profit margin compared to its peers in the industry 5. Growing share holders equity 6. Current ratios > 1 7. Debt to equity ratio (compare to peers) 8. Debt servicing ratio < 30% 9. Wide economic moat 10. Products and services used daily, and will stay relevant for at least 1 decade Necessary Crypto Conditions: 1. Honest founders 2. Competent technical co-founders 3. Fair or non-existent pre-mine 4. Solid marketing and PR 5. Legitimate use-cases / adoption Default Robot Settings: Contribution (USD): $10,000 Frequency (Months): 12 *Robot buys $10,000 worth of ETF, Stock, Crypto, regardless of the market price, every 12 months since its founding time.* *Equity curve can be seen from the bottom panel* Risk Warning: This strategy is low-risk, however it assumes you have a long time horizon of at least 5 to 10 years. The longer your holding-period, the better your returns. The only thing the user has to keep-in-mind are the macro-economic conditions as stated above. If unsure, please stick to ETFs rather than buying individual stocks or cryptocurrencies.
Pine Script™ strategy
by TsangYouJun
1
The Lazy Trader - Index (ETF) Trend Following Robot50/150 moving average, index (ETF) trend following robot. Coded for people who cannot psychologically handle dollar-cost-averaging through bear markets and extreme drawdowns (although DCA can produce better results eventually), this robot helps you to avoid bear markets. Be a fair-weathered friend of Mr Market, and only take up his offer when the sun is shining! Designed for the lazy trader who really doesn't care... Recommended Chart Settings: Asset Class: ETF Time Frame: Daily Necessary ETF Macro Conditions: a) Country must have healthy demographics, good ratio of young > old b) Country population must be increasing c) Country must be experiencing price-inflation Default Robot Settings: Slow Moving Average: 50 (integer) //adjust to suit your underlying index Fast Moving Average: 150 (integer) //adjust to suit your underlying index Bullish Slope Angle: 5 (degrees) //up angle of moving averages Bearish Slope Angle: -5 (degrees) //down angle of moving averages Average True Range: 14 (integer) //input for slope-angle formula Risk: 100 (%) //100% risk means using all equity per trade ETF Test Results (Default Settings): SPY (1993 to 2020, 27 years), 332% profit, 20 trades, 6.4 profit factor, 7% drawdown EWG (1996 to 2020, 24 years), 310% profit, 18 trades, 3.7 profit factor, 10% drawdown EWH (1996 to 2020, 24 years), 4% loss, 26 trades, 0.9 profit factor, 36% drawdown QQQ (1999 to 2020, 21 years), 232% profit, 17 trades, 3.6 profit factor, 2% drawdown EEM (2003 to 2020, 17 years), 73% profit, 17 trades, 1.1 profit factor, 3% drawdown GXC (2007 to 2020, 13 years), 18% profit, 14 trades, 1.3 profit factor, 26% drawdown BKF (2009 to 2020, 11 years), 11% profit, 13 trades, 1.2 profit factor, 33% drawdown A longer time in the markets is better, with the exception of EWH. 6 out of 7 tested ETFs were profitable, feel free to test on your favourite ETF (default settings) and comment below. Risk Warning: Not tested on commodities nor other financial products like currencies (code will not work), feel free to leave comments below. Moving Average Slope Angle Formula: Reproduced and modified from source:
Pine Script™ strategy
by TsangYouJun
3