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The TestStrategy class is an implementation of a trading strategy. It uses technical analysis (TA) indicators to generate buy and sell signals for a given DataFrame of market data. The strategy first populates the DataFrame with various TA indicators such as ADX (Average Directional Index), Bollinger Bands, TEMA (Triple Exponential Moving Average), and HT_SINE (Hilbert Transform - SineWave).
In the populate_buy_trend method, the strategy determines the buy signal based on certain conditions.
The conditions include the ADX value being greater than 30, the TEMA being below the Bollinger Bands' middle band, and the TEMA value increasing compared to the previous value.
In the populate_sell_trend method, the strategy determines the sell signal based on certain conditions. The conditions include the ADX value being greater than 70, the TEMA being above the Bollinger Bands' middle band, and the TEMA value decreasing compared to the previous value. The strategy assigns a value of 1 to the 'buy' and 'sell' columns in the DataFrame to indicate the occurrence of a buy or sell signal, respectively. By backtesting this strategy on historical market data, users can evaluate its performance and potentially make informed decisions for trading based on the generated signals.
In the populate_buy_trend method, the strategy determines the buy signal based on certain conditions.
The conditions include the ADX value being greater than 30, the TEMA being below the Bollinger Bands' middle band, and the TEMA value increasing compared to the previous value.
In the populate_sell_trend method, the strategy determines the sell signal based on certain conditions. The conditions include the ADX value being greater than 70, the TEMA being above the Bollinger Bands' middle band, and the TEMA value decreasing compared to the previous value. The strategy assigns a value of 1 to the 'buy' and 'sell' columns in the DataFrame to indicate the occurrence of a buy or sell signal, respectively. By backtesting this strategy on historical market data, users can evaluate its performance and potentially make informed decisions for trading based on the generated signals.
startup_candle_count : 50 adx: -7.240% tema: -0.002%
stoploss: -0.1 timeframe: 5m hash(sha256): a79e26ff709732815ee9f926537420a3018214f18448ad3fc63484a6745bcfc8 indicators: upper htsine CDLDRAGONFLYDOJI minus_dm tema plus_dm CDLGRAVESTONEDOJI CDLHANGINGMAN CDLSHOOTINGSTAR close ha_low CDLSPINNINGTOP mfi bb_lowerband ema5 CDLENGULFING fastd_rsi CDL3WHITESOLDIERS fastk macdhist CDLHAMMER htleadsine sma slowd leadsine CDLMORNINGSTAR CDLEVENINGDOJISTAR open plus_di fastd ema10 CDLPIERCING CDLEVENINGSTAR sar ha_open CDL3OUTSIDE high macdsignal slowk mid fisher_rsi fastk_rsi ema100 fisher_rsi_norma cci ha_close macd CDL3INSIDE ema3 CDLINVERTEDHAMMER CDLHARAMI ha_high adx
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last change: 2023-08-16 11:42:25