The SqueezeMomentum strategy is a trading strategy that utilizes various technical indicators to identify buying and selling opportunities in the market. Here's a breakdown of what the strategy does:
populate_indicators: This function calculates and adds several technical indicators to the input DataFrame. The indicators used include Simple Moving Average (SMA), Exponential Moving Average (EMA), Triple Exponential Moving Average (TEMA), Moving Average Convergence Divergence (MACD), Money Flow Index (MFI), Average Directional Index (ADX), Directional Movement indicators (DM+ and DM-), Parabolic SAR (SAR), Relative Strength Index (RSI), Fisher Transform of RSI, Bollinger Bands (BB), Keltner Channels (KC), Donchian Channels (DC), and other derived indicators.
populate_buy_trend: This function determines the buying conditions based on the populated indicators.
The strategy checks for various conditions such as ADX, DM+, DM-, MFI, EMA, MACD, Bollinger Bands, and predicted values.
If the conditions are met, the 'buy' signal is generated for the corresponding data points. populate_sell_trend: This function determines the selling conditions based on the populated indicators. The strategy checks for conditions such as SAR, Donchian Channels, Fisher RSI, and predicted values. If the conditions are met, the 'sell' signal is generated for the corresponding data points. The SqueezeMomentum strategy combines multiple indicators to identify potential market trends and generate buy and sell signals accordingly. It aims to capture momentum and squeeze patterns in the market for improved trading decisions.
populate_buy_trend: This function determines the buying conditions based on the populated indicators.
The strategy checks for various conditions such as ADX, DM+, DM-, MFI, EMA, MACD, Bollinger Bands, and predicted values.
If the conditions are met, the 'buy' signal is generated for the corresponding data points. populate_sell_trend: This function determines the selling conditions based on the populated indicators. The strategy checks for conditions such as SAR, Donchian Channels, Fisher RSI, and predicted values. If the conditions are met, the 'sell' signal is generated for the corresponding data points. The SqueezeMomentum strategy combines multiple indicators to identify potential market trends and generate buy and sell signals accordingly. It aims to capture momentum and squeeze patterns in the market for improved trading decisions.
stoploss: 0 timeframe: 5m hash(sha256): b3ccaf0c325f7f54eb2ec2a7a642dfa6e3ece25b5a6630738f642efde1bd38d8 indicators: upper sqz_off dc_lf tema sqz_on kc_lower close dm_delta dc_h mfi bb_lowerband ema5 sqz_lower bb_gain dc_hf macdhist sqz_accel sma sqz_delta dc_cl open dm_plus ema10 sar sqz_val high macdsignal ema mid fisher_rsi dc_upper dc_lower dc_clf macd dc_ch dc_mid ema3 dc_dist dc_chf sqz_a sqz_angle adx lower kc_middle kc_upper dc_l rsi bb_upperband low sqz_of dm_minus sqz_ave bb_mid sqz_upper
Similar Strategies: (based on used indicators)
Strategy: SqueezeMomentum_3, Similarity Score: 98.18%
Strategy: SqueezeOff, Similarity Score: 90.91%
Strategy: SqueezeOff_2, Similarity Score: 90.91%
Strategy: Squeeze002, Similarity Score: 89.09%
Strategy: Squeeze002_2, Similarity Score: 89.09%
last change: 2024-04-29 02:24:16