The E0V1E strategy is a backtesting trading strategy implemented in Python. It uses various technical indicators to generate entry and exit signals for trades. Here's a short description of what the strategy does: Indicators: The strategy calculates several indicators including moving averages, RSI (Relative Strength Index), EWO (Elder's Force Index Weighted Oscillator), stochastic indicators, and Bollinger Bands.
Entry Conditions: The strategy has two sets of entry conditions: Set 1: It looks for conditions such as low RSI values, price below certain moving averages, and EWO values exceeding a threshold.
Set 2: It looks for conditions such as RSI values crossing thresholds, price below another moving average, and CTI (Cyber Cycle Indicator) values below a certain level.
Custom Stop Loss: The strategy implements a custom stop loss mechanism based on various conditions. It considers factors such as the current profit, the FastK value of the stochastic indicator, and the time since the trade was opened. Custom Exit: The strategy defines a custom exit condition based on the deadfish method. It checks for conditions such as low Bollinger Bands width, price above the middle band of the Bollinger Bands, and volume characteristics.
Entry Conditions: The strategy has two sets of entry conditions: Set 1: It looks for conditions such as low RSI values, price below certain moving averages, and EWO values exceeding a threshold.
Set 2: It looks for conditions such as RSI values crossing thresholds, price below another moving average, and CTI (Cyber Cycle Indicator) values below a certain level.
Custom Stop Loss: The strategy implements a custom stop loss mechanism based on various conditions. It considers factors such as the current profit, the FastK value of the stochastic indicator, and the time since the trade was opened. Custom Exit: The strategy defines a custom exit condition based on the deadfish method. It checks for conditions such as low Bollinger Bands width, price above the middle band of the Bollinger Bands, and volume characteristics.
stoploss: -0.99 timeframe: 5m hash(sha256): 65bb590afe581166c84f52685504edae127db162d445c117617096020f37bce3 indicators: upper EWO close exit_long exit_tag volume_mean_12 fastk rsi_fast bb_middleband2 volume fastd sma_15 bb_upperband2 volume_mean_24 mid ema_8 ema_16 bb_width cti lower rsi_slow rsi low bb_lowerband2
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last change: 2024-05-02 14:33:48