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The BigPete strategy is a trading strategy implemented in a backtesting website. Here is a brief description of what the strategy does:
The strategy utilizes various indicators to generate buy signals. It starts by populating indicators on the provided DataFrame, including informative 1-hour indicators and normal time frame indicators.
These indicators are used to make buy decisions.
The buy conditions are defined through multiple conditional statements, each evaluating different aspects of the market data.
Some of the important buy conditions include checking if the closing price is above the 200-day exponential moving average (ema_200) and the 1-hour exponential moving average (ema_200_1h). It also considers the Bollinger Bands, relative strength index (rsi), historical price action, and volume indicators. The strategy considers factors like the relationship between the Bollinger Bands, the presence of positive histogram values, the distance between the middle band and the closing price, and volume-related conditions. These conditions are used to determine if a buy signal should be generated. The strategy also takes into account different configurable parameters, such as buy volume pumps, RSI thresholds, Bollinger Bands values, and MACD (moving average convergence divergence) values. Overall, the BigPete strategy aims to identify potential buying opportunities based on the combination of various technical indicators and market conditions.
These indicators are used to make buy decisions.
The buy conditions are defined through multiple conditional statements, each evaluating different aspects of the market data.
Some of the important buy conditions include checking if the closing price is above the 200-day exponential moving average (ema_200) and the 1-hour exponential moving average (ema_200_1h). It also considers the Bollinger Bands, relative strength index (rsi), historical price action, and volume indicators. The strategy considers factors like the relationship between the Bollinger Bands, the presence of positive histogram values, the distance between the middle band and the closing price, and volume-related conditions. These conditions are used to determine if a buy signal should be generated. The strategy also takes into account different configurable parameters, such as buy volume pumps, RSI thresholds, Bollinger Bands values, and MACD (moving average convergence divergence) values. Overall, the BigPete strategy aims to identify potential buying opportunities based on the combination of various technical indicators and market conditions.
startup_candle_count : 200 hist: -0.001%
stoploss: -0.99 timeframe: 5m hash(sha256): d27f97d739e5c798a772fe471793d5fef4bde4c8ea3df6ee46cb9c2d80b04af2 indicators: buy_rsi_1h_2 buy_rsi_1h_4 buy_rsi_1h_1a upper buy_volume_drop_2 ema_200 ema_50 narrow_stop close buy_condition_4_enable buy_condition_9_enable buy_rsi_0 sma_5 bb_lowerband buy_rsi_1h_5 rsi_1h_val ema_200_1h buy_volume_drop_1 ma_sell_val buy_condition_6_enable buy_rsi_1h_0 pPF_2 buy_rsi_1 buy_condition_0_enable buy_condition_1_enable pSL_1 pSL_2 buy_condition_3_enable volume buy_macd_2 high_offset buy_bb20_close_bblowerband_safe_2 open buy_volume_drop_3 volume_mean_slow buy_condition_7_enable pHS
Similar Strategies: (based on used indicators)
Strategy: BigPeteBU, Similarity Score: 97.37%
last change: 2023-07-28 11:25:36