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Strategy: Squeeze002_2
Downloaded: 20230104
Stoploss: 0
The "Squeeze002" strategy is a trading strategy that utilizes various technical indicators to generate buy and sell signals. Here is a brief description of what the strategy does: The strategy populates the given DataFrame with several technical indicators such as 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), Parabolic SAR (SAR), Relative Strength Index (RSI), Fisher Transform of RSI (fisher_rsi), Bollinger Bands (bb_upperband, bb_mid, bb_lowerband), Keltner Channels (kc_upper, kc_lower, kc_middle), Donchian Channels (dc_upper, dc_lower, dc_mid), and others. The strategy calculates the Bollinger Bands gain (bb_gain) and checks for conditions such as ADX value, MACD crossover, and Bollinger Bands gain.

The strategy populates the entry trend of the DataFrame based on the calculated indicators.

It checks conditions such as ADX value, sqz_val not null, MACD value, and Bollinger Bands gain.

The strategy populates the exit trend of the DataFrame based on the calculated indicators. It checks conditions such as sqz_val not null and crossed below 0. It also checks for additional sell triggers based on Fisher RSI and SAR values. Overall, the strategy combines various technical indicators to identify potential buy and sell signals in the market.

stoploss: 0
timeframe: 5m
hash(sha256): 9c0d051fc6e427ba93929c6a89f75289f15760daa5cde5e7eef07634756162d8
indicators:
upper sqz_off dc_lf tema sqz_on
kc_lower close dc_h bb_gain mfi
bb_lowerband ema5 sqz_lower dc_hf macdhist
sma sqz_delta dc_cl dm_plus 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
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: Squeeze002, Similarity Score: 97.96%
Strategy: SqueezeMomentum_2, Similarity Score: 97.96%
Strategy: SqueezeMomentum_3, Similarity Score: 97.96%
Strategy: SqueezeOff, Similarity Score: 97.96%
Strategy: SqueezeOff_2, Similarity Score: 97.96%
Strategy: Squeeze001, Similarity Score: 77.55%
Strategy: Squeeze001_2, Similarity Score: 77.55%

last change: 2024-04-29 19:19:26