The custom trading strategy described in the code implements a set of indicators and conditions for buying assets. Here is a breakdown of what the strategy does:
Indicator Population: The strategy starts by populating various indicators based on the provided dataframe and metadata. These indicators include RSI (Relative Strength Index), rolling minimum and maximum values, valuewhen, moving averages (MA), hull moving averages (HMA), exponential moving averages (EMA), EWO (Elliott Wave Oscillator), and more.
Buy Trend Conditions: The strategy defines conditions for entering a buy trade.
The conditions are as follows:
The "pump_strength" value should be below a certain threshold (antipump_threshold) and there should be no bearish conditions (bearCond and hiddenBearCond).
One of the following conditions should be satisfied:
Bullish conditions (bullCond or hiddenBullCond) are present. The simple moving average (sma_9) is below a specific EMA (ma_buy_X) value. The fast RSI (rsi_fast) is between 4 and 35. The closing price is below a certain percentage (low_offset) of the EMA value (ma_buy_X). The EWO (Elliott Wave Oscillator) value is above a certain threshold (ewo_high). The RSI (rsi) is below a specific value (rsi_buy). The trading volume is above zero. The closing price is below a certain percentage (high_offset) of another EMA value (ma_sell_X). Sell Trend Conditions: The code snippet does not include the implementation of sell trend conditions. It focuses solely on the buy trend conditions. This strategy aims to identify potential buying opportunities based on the specified conditions and a combination of technical indicators. It is important to note that this is just a brief summary of the strategy based on the provided code, and there may be additional details and considerations not covered here.