The "CombinedBinHAndClucV8" strategy is designed for backtesting trading strategies on a website. Here is a brief description of what the strategy does:
The strategy first populates indicators based on the provided data and metadata. It merges informative data from a 1-hour timeframe into the current timeframe being tested.
The "populate_buy_trend" function defines several conditions for entering a buy trade.
These conditions include: The closing price is above the 200-period exponential moving average (ema_200_1h).
The 50-period exponential moving average (ema_50) is above the 200-period exponential moving average (ema_200). The 50-period exponential moving average in the 1-hour timeframe (ema_50_1h) is above the 200-period exponential moving average in the 1-hour timeframe (ema_200_1h). Various dip thresholds and moving average relationships are checked. Bollinger Band (BB) conditions are checked, including the relationship between price and the lower Bollinger Band (lower), BB delta, closedelta, and tail. Volume is greater than zero. The "populate_sell_trend" function defines conditions for exiting a buy trade and entering a sell trade. These conditions include: The closing price is above the upper Bollinger Band (bb_upperband), and the previous two closing prices were also above the upper Bollinger Band. The RSI (Relative Strength Index) is above a specified threshold. Volume is greater than zero. If any of the defined conditions are met, the strategy sets the "buy" or "sell" signal in the dataframe accordingly.
The "populate_buy_trend" function defines several conditions for entering a buy trade.
These conditions include: The closing price is above the 200-period exponential moving average (ema_200_1h).
The 50-period exponential moving average (ema_50) is above the 200-period exponential moving average (ema_200). The 50-period exponential moving average in the 1-hour timeframe (ema_50_1h) is above the 200-period exponential moving average in the 1-hour timeframe (ema_200_1h). Various dip thresholds and moving average relationships are checked. Bollinger Band (BB) conditions are checked, including the relationship between price and the lower Bollinger Band (lower), BB delta, closedelta, and tail. Volume is greater than zero. The "populate_sell_trend" function defines conditions for exiting a buy trade and entering a sell trade. These conditions include: The closing price is above the upper Bollinger Band (bb_upperband), and the previous two closing prices were also above the upper Bollinger Band. The RSI (Relative Strength Index) is above a specified threshold. Volume is greater than zero. If any of the defined conditions are met, the strategy sets the "buy" or "sell" signal in the dataframe accordingly.
stoploss: -0.99 timeframe: 5m hash(sha256): 43b43b5cfdfe72d0f5ea3e0eafc62a49addcf5159ea6514788e7117b33002de3 indicators: sma_200_1h ema_200 ema_50 close sma_5 tail bb_lowerband mfi bbdelta volume closedelta open volume_mean_slow ema_50_1h sma_200 mid rsi_1h lower ema_12 bb_middleband rsi sma_200_dec bb_upperband ema_slow ema_26 ssl_up_1h
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last change: 2024-05-02 12:02:28