You will be redirected to the original Strategy in 15 seconds.
The BB_RPB_TSL_v102 strategy is a backtesting strategy that evaluates various conditions to generate buy and sell signals for trading. Here's a breakdown of its main components:
populate_indicators: This function populates the indicators needed for the strategy. It merges informative data from a 1-hour timeframe with the current timeframe and applies other normal timeframe indicators.
populate_buy_trend: This function determines the conditions for generating buy signals.
It evaluates multiple conditions, such as RMI (Relative Momentum Index), CCI (Commodity Channel Index), SRSI (Stochastic RSI), Bollinger Bands, Ichimoku Cloud, EMA (Exponential Moving Average), EWO (Ehlers' Fisher Transform), COFI (Crossover of FastK and FastD), NFI (Next Gen Fisher Indicator), and BTC (Bitcoin) safety checks.
Each condition checks specific indicators or patterns to identify potential buying opportunities. The conditions are stored in the conditions list, and if any of the conditions are met, the corresponding 'buy_tag' is appended to the 'buy_tag' column in the dataframe. populate_sell_trend: This function determines the conditions for generating sell signals. It checks conditions related to BTC safety, EMA, CMF (Chaikin Money Flow), EMA close delta, and RSI. If any of these conditions are met, the 'sell' column in the dataframe is set to 1. The strategy uses a combination of technical indicators and patterns to identify potential buying and selling opportunities in the market.
populate_buy_trend: This function determines the conditions for generating buy signals.
It evaluates multiple conditions, such as RMI (Relative Momentum Index), CCI (Commodity Channel Index), SRSI (Stochastic RSI), Bollinger Bands, Ichimoku Cloud, EMA (Exponential Moving Average), EWO (Ehlers' Fisher Transform), COFI (Crossover of FastK and FastD), NFI (Next Gen Fisher Indicator), and BTC (Bitcoin) safety checks.
Each condition checks specific indicators or patterns to identify potential buying opportunities. The conditions are stored in the conditions list, and if any of the conditions are met, the corresponding 'buy_tag' is appended to the 'buy_tag' column in the dataframe. populate_sell_trend: This function determines the conditions for generating sell signals. It checks conditions related to BTC safety, EMA, CMF (Chaikin Money Flow), EMA close delta, and RSI. If any of these conditions are met, the 'sell' column in the dataframe is set to 1. The strategy uses a combination of technical indicators and patterns to identify potential buying and selling opportunities in the market.
stoploss: -0.99 timeframe: 5m hash(sha256): 55593652ba17fb4f5324c4ed95befadf311e406d7b6c9a88b3743e242408bb7a indicators: upper bb_middleband3 bb_upperband3 btc_1d EWO ema_200 btc_5m leading_senkou_span_b_1h ema_13 close senkou_a cloud_top_1h cci_length_val tenkan_sen fastk rsi_fast srsi_fk r_14 bb_middleband2 volume srsi_fd cci_long tenkan_sen_1h leading_senkou_span_a senkou_a senkou_b closedelta bb_bottom_cross leading_senkou_span_b open bb_delta chikou_span_greater btc_threshold fastd btc_diff sma_15 bb_upperband2 high kijun_sen volume_mean_4 mid kijun_sen_1h chikou_span_greater_1h senkou_span_a bb_width ema_8 e
Similar Strategies: (based on used indicators)
Strategy: BB_RPB_TSL_976, Similarity Score: 97.92%
Strategy: BB_RPB_TSL_c7c477d_20211030, Similarity Score: 97.92%
Strategy: TheMessenger, Similarity Score: 97.92%
last change: 2022-07-02 19:54:08