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The BinClucMadSMADevelop strategy is a trading strategy implemented in a backtesting website. Here's a short description of what the strategy does:
The strategy involves populating indicators on a given DataFrame, which represents the trading data. These indicators are calculated based on various conditions and technical analysis tools.
In the populate_indicators method, informative indicators are merged with the main DataFrame to provide additional information for analysis.
Normal time frame indicators are also calculated and added to the DataFrame.
In the populate_buy_trend method, the strategy defines multiple conditions for triggering a buy signal. Each condition is associated with a specific enable flag and a buy tag. The conditions involve comparing various data points, such as closing prices, moving averages, oscillators, and volume, against predefined thresholds. If a condition is met, the corresponding enable flag is set to true, and the buy tag is assigned to the buy_tag column in the DataFrame. The conditions consider factors like price movements, relative strength index (RSI), moving averages, Bollinger Bands, and more. The strategy evaluates multiple buy conditions and keeps track of the count of enabled conditions using the conditions_count column in the DataFrame. Overall, the BinClucMadSMADevelop strategy combines various technical indicators and conditions to identify potential buy signals based on the provided trading data.
In the populate_indicators method, informative indicators are merged with the main DataFrame to provide additional information for analysis.
Normal time frame indicators are also calculated and added to the DataFrame.
In the populate_buy_trend method, the strategy defines multiple conditions for triggering a buy signal. Each condition is associated with a specific enable flag and a buy tag. The conditions involve comparing various data points, such as closing prices, moving averages, oscillators, and volume, against predefined thresholds. If a condition is met, the corresponding enable flag is set to true, and the buy tag is assigned to the buy_tag column in the DataFrame. The conditions consider factors like price movements, relative strength index (RSI), moving averages, Bollinger Bands, and more. The strategy evaluates multiple buy conditions and keeps track of the count of enabled conditions using the conditions_count column in the DataFrame. Overall, the BinClucMadSMADevelop strategy combines various technical indicators and conditions to identify potential buy signals based on the provided trading data.
stoploss: -0.228 timeframe: 5m hash(sha256): 1419c5836c4d813f137615b4e54cca8373bf1407e802428f638c18498687d23d indicators: sma_200_1h EWO v9_buy_condition_4_enable v9_buy_condition_1_enable buy_tag v9_buy_condition_9_enable buy_tag v6_buy_condition_1_enable buy_tag v9_buy_condition_8_enable v9_buy_condition_10_enable buy_tag close ema_50 tail v9_buy_condition_1_enable ema_200 sma_5 bb_lowerband v9_buy_condition_6_enable buy_tag mfi f"ma_buy_val bbdelta v6_buy_condition_3_enable volume ma_buy v6_buy_condition_2_enable closedelta v8_buy_condition_4_enable buy_tag date conditions_count open v8_buy_condition_1_enable bu
Similar Strategies: (based on used indicators)
Strategy: BinClucMadSMACore, Similarity Score: 97.3%
last change: 2022-07-02 19:54:08