Not Enough Data to display!
Average Overall
| Not Enough Data! / Avg statistics not populated yet. |
|---|
The Patterns strategy is a backtesting strategy that utilizes various technical analysis (TA) indicators to generate buy and sell signals for trading. Here's a breakdown of what the strategy does:
populate_indicators function:
This function takes a DataFrame and adds several TA indicators to it, such as MFI (Money Flow Index), Stochastic Fast, RSI (Relative Strength Index), Fisher RSI, Bollinger Bands, EMA (Exponential Moving Average), SAR (Stop and Reverse), and Candlestick pattern indicators. Each indicator is calculated based on the given DataFrame and added as a new column to the DataFrame.
populate_buy_trend function: This function populates the buy signal for the DataFrame based on the TA indicators and predefined conditions.
It checks various conditions such as RSI, simple moving average (SMA), MFI, and specific candlestick patterns to determine whether a buy signal should be generated.
The buy signal is marked as 1 in the 'buy' column of the DataFrame for the corresponding time period. populate_sell_trend function: This function populates the sell signal for the DataFrame based on the TA indicators and predefined conditions. It checks conditions related to candlestick patterns to determine whether a sell signal should be generated. The sell signal is marked as 1 in the 'sell' column of the DataFrame for the corresponding time period. Overall, the strategy combines various TA indicators and predefined conditions to generate buy and sell signals based on the patterns observed in the market data. It allows for customization of the indicators and conditions to adapt to different trading strategies and market conditions.
populate_buy_trend function: This function populates the buy signal for the DataFrame based on the TA indicators and predefined conditions.
It checks various conditions such as RSI, simple moving average (SMA), MFI, and specific candlestick patterns to determine whether a buy signal should be generated.
The buy signal is marked as 1 in the 'buy' column of the DataFrame for the corresponding time period. populate_sell_trend function: This function populates the sell signal for the DataFrame based on the TA indicators and predefined conditions. It checks conditions related to candlestick patterns to determine whether a sell signal should be generated. The sell signal is marked as 1 in the 'sell' column of the DataFrame for the corresponding time period. Overall, the strategy combines various TA indicators and predefined conditions to generate buy and sell signals based on the patterns observed in the market data. It allows for customization of the indicators and conditions to adapt to different trading strategies and market conditions.
stoploss: -0.333 timeframe: 5m hash(sha256): 4385222c8683a625f0b13b08b55e6a37689d21d817aa7068c21c06c30e792ee4 indicators: CDLDRAGONFLYDOJI CDLGRAVESTONEDOJI CDLHANGINGMAN CDLSHOOTINGSTAR close CDLSPINNINGTOP mfi bb_lowerband ema5 CDLENGULFING CDL3WHITESOLDIERS CDLHAMMER fastk sma CDLMORNINGSTAR CDLEVENINGDOJISTAR CDLEVENINGSTAR CDLPIERCING fastd ema10 sar CDL3OUTSIDE fisher_rsi ema100 CDL3INSIDE CDLINVERTEDHAMMER CDLHARAMI lower rsi CDL3LINESTRIKE CDLDARKCLOUDCOVER ema50
Similar Strategies: (based on used indicators)
Strategy: legacy_strategy, Similarity Score: 87.88%
Strategy: legacy_strategy_28, Similarity Score: 87.88%
Strategy: test_strategy, Similarity Score: 87.88%
Strategy: test_strategy_163, Similarity Score: 87.88%
Strategy: test_strategy_193, Similarity Score: 87.88%
Strategy: test_strategy_194, Similarity Score: 87.88%
Strategy: test_strategy_302, Similarity Score: 87.88%
Strategy: test_strategy_471, Similarity Score: 87.88%
Strategy: test_strategy_5, Similarity Score: 87.88%
Strategy: DefaultStrategy, Similarity Score: 84.85%
Strategy: DefaultStrategy_0, Similarity Score: 84.85%
Strategy: default_strategy, Similarity Score: 84.85%
Strategy: default_strategy_111, Similarity Score: 84.85%
Strategy: default_strategy_132, Similarity Score: 84.85%
Strategy: default_strategy_15, Similarity Score: 84.85%
Strategy: default_strategy_189, Similarity Score: 84.85%
Strategy: default_strategy_2, Similarity Score: 84.85%
Strategy: default_strategy_23, Similarity Score: 84.85%
Strategy: default_strategy_3, Similarity Score: 84.85%
Strategy: default_strategy_5, Similarity Score: 84.85%
Strategy: default_strategy_51, Similarity Score: 84.85%
Strategy: default_strategy_6, Similarity Score: 84.85%
Strategy: default_strategy_7, Similarity Score: 84.85%
Strategy: default_strategy_8, Similarity Score: 84.85%
Strategy: default_strategy_9, Similarity Score: 84.85%
last change: 2022-07-02 19:54:08