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The "StarRise" strategy is a backtesting trading strategy that uses various technical indicators to make buying and selling decisions. Here is a short description of what the strategy does:
The strategy first populates the indicators based on the provided dataframe, including RSI (Relative Strength Index) with different time periods, Bollinger Bands, close price delta, top percent changes, simple moving averages (SMA), Commodity Channel Index (CTI), Average Directional Index (ADX), Williams %R, MESA Adaptive Moving Average (MAMA), and a custom indicator called CRSI (Composite Relative Strength Index). It retrieves informative data from a different timeframe (1 hour) and populates additional indicators for the informative data.
The informative data is merged with the original dataframe.
The "populate_buy_trend" function identifies potential buying opportunities based on several conditions.
These conditions include checks on price changes, MAMA and FAMA values, relative strength index values, CTI, ADX, and rolling maximum price. The "populate_sell_trend" function identifies potential selling opportunities based on conditions related to the upper Bollinger Band and RSI. The "StarRise_dca" class extends the "StarRise" strategy, possibly adding additional functionality related to dollar-cost averaging. Overall, the strategy aims to identify buy signals when certain technical conditions are met and sell signals when price reaches the upper Bollinger Band and RSI is high. The inclusion of multiple indicators and conditions suggests a more complex and comprehensive trading approach.
The informative data is merged with the original dataframe.
The "populate_buy_trend" function identifies potential buying opportunities based on several conditions.
These conditions include checks on price changes, MAMA and FAMA values, relative strength index values, CTI, ADX, and rolling maximum price. The "populate_sell_trend" function identifies potential selling opportunities based on conditions related to the upper Bollinger Band and RSI. The "StarRise_dca" class extends the "StarRise" strategy, possibly adding additional functionality related to dollar-cost averaging. Overall, the strategy aims to identify buy signals when certain technical conditions are met and sell signals when price reaches the upper Bollinger Band and RSI is high. The inclusion of multiple indicators and conditions suggests a more complex and comprehensive trading approach.
startup_candle_count : 168 rsi_84: 1.043% rsi_112: -0.291% adx: 0.003% mama_diff: -0.067% mama_diff_1h: -0.011%
Biased Exit Signals:
1
stoploss: -0.998 timeframe: 5m hash(sha256): c104ca0363724e9d54f1003202d1a23eea92b5037695f014ba142f784509689f indicators: upper close mama_1h bb_lowerband crsi r_96 r_14 mama_diff_1h tpct_change_1 tpct_change_4 closedelta rsi_84 sma_50 fama open r_96_1h fama_1h sma_200 hl2 rsi_112 high mid tpct_change_2 stake_amount r_480 tpct_change_0 tpct_change_5 mama cti mama_diff adx lower bb_middleband rsi cti_40 bb_upperband tpct_change_9 low cti_40_1h mama_dif
Similar Strategies: (based on used indicators)
Strategy: McQueen1, Similarity Score: 97.56%
Strategy: SR, Similarity Score: 95.12%
Strategy: SR2, Similarity Score: 95.12%
Strategy: SRR, Similarity Score: 95.12%
Strategy: Srerrr, Similarity Score: 95.12%
Strategy: SR_stoploss, Similarity Score: 82.93%
last change: 2023-07-05 14:37:57