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The TSIHULLBOT strategy is a trading strategy that combines the True Strength Index (TSI) and the Hull Moving Average (HMA) indicators. It aims to generate buy and sell signals based on the price movements and volume of the asset being traded. Here's a breakdown of how the strategy works:
The strategy calculates the HMA of the price data using the hma() function.
The HMA is a moving average that reduces lag and provides a smoother representation of price trends.
The strategy uses two sets of parameters for buying and selling: For buying, it uses the long_buy, short_buy, signal_buy, and price_buy parameters.
For selling, it uses the long_sell, short_sell, signal_sell, and price_sell parameters. The strategy populates several indicators: pc_buy: The price change (difference) between consecutive closing or opening prices. pc_abs_buy: The absolute value of pc_buy. double_smoothed_pc_buy: The HMA of pc_buy using the double_smooth() function. double_smoothed_abs_pc_buy: The HMA of pc_abs_buy using the double_smooth() function. tsi_value_buy: The TSI value calculated as (100 * (double_smoothed_pc_buy / double_smoothed_abs_pc_buy)) * 5. tsihmaline_buy: The HMA of tsi_value_buy using the hma() function. Similarly, the strategy calculates the above indicators for selling using the sell parameters. The populate_buy_trend() function generates a buy signal when the following conditions are met: tsihmaline_buy is greater than its previous value. The current price is higher than the previous price. The volume is greater than zero. The populate_sell_trend() function generates a sell signal when the following conditions are met: tsihmaline_sell is less than its previous value. The current price is lower than the previous price. The volume is greater than zero. The strategy uses these buy and sell signals to execute trades in the backtesting process. Keep in mind that this is a simplified description, and there might be additional details and considerations within the code that could affect the strategy's performance.
The HMA is a moving average that reduces lag and provides a smoother representation of price trends.
The strategy uses two sets of parameters for buying and selling: For buying, it uses the long_buy, short_buy, signal_buy, and price_buy parameters.
For selling, it uses the long_sell, short_sell, signal_sell, and price_sell parameters. The strategy populates several indicators: pc_buy: The price change (difference) between consecutive closing or opening prices. pc_abs_buy: The absolute value of pc_buy. double_smoothed_pc_buy: The HMA of pc_buy using the double_smooth() function. double_smoothed_abs_pc_buy: The HMA of pc_abs_buy using the double_smooth() function. tsi_value_buy: The TSI value calculated as (100 * (double_smoothed_pc_buy / double_smoothed_abs_pc_buy)) * 5. tsihmaline_buy: The HMA of tsi_value_buy using the hma() function. Similarly, the strategy calculates the above indicators for selling using the sell parameters. The populate_buy_trend() function generates a buy signal when the following conditions are met: tsihmaline_buy is greater than its previous value. The current price is higher than the previous price. The volume is greater than zero. The populate_sell_trend() function generates a sell signal when the following conditions are met: tsihmaline_sell is less than its previous value. The current price is lower than the previous price. The volume is greater than zero. The strategy uses these buy and sell signals to execute trades in the backtesting process. Keep in mind that this is a simplified description, and there might be additional details and considerations within the code that could affect the strategy's performance.
stoploss: -0.99 timeframe: 1h hash(sha256): d46961e9afca195b9029d5cc1e3f967ac3679fb93e2eb200cfa99a40a79747b3 indicators: long_buy short_sell pc_sell signal_buy pc_abs_buy double_smoothed_pc_buy volume pc_buy signal_sell pc_abs_sell price_buy source long_sell double_smoothed_abs_pc_sell short_buy tsi_value_sell tsi_value_buy fist_smooth open close tsihmaline_buy double_smoothed_pc_sell tsihmaline_sell double_smoothed_abs_pc_buy price_sell
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Strategy: TSIHB, Similarity Score: 96.15%
last change: 2023-06-29 16:28:37