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The provided code represents a trading strategy implemented in Python using pandas, TA-Lib (Technical Analysis Library), and qtpylib (a library for trading strategies). The strategy, named "NHO113V3," involves several technical indicators and conditions to determine buy and sell signals in the context of backtesting. Here's a short description of what the strategy does:
Indicator Calculation (populate_indicators):
Calculates Exponential Moving Averages (EMAs) with various time periods for buying and selling signals.
Computes the Hull Moving Average (HMA) with a window of 50.
Calculates a 100-period Exponential Moving Average (EMA).
Computes a 9-period Simple Moving Average (SMA). Calculates the Elder's Force Index (EFI) indicator. Calculates the Relative Strength Index (RSI) with different time periods. Computes stochastic indicators for fast %K and %D values. Calculates the Chaikin Trend Index (CTI) and its moving average. Computes the Chande Momentum Oscillator (CMO). Buy Signal Generation (populate_buy_trend): Generates buy signals based on various conditions: RSI fast is below 35. Close price is below a specific moving average multiplied by a low offset. EWO (Elder's Force Index) is above a certain value. RSI is below a predefined buy threshold. Volume is greater than zero. Close price is below another moving average multiplied by a high offset. Additional conditions with RSI below 25 for a different buy tag. Generates different buy tags based on conditions. Sell Signal Generation (populate_sell_trend): Generates sell signals based on conditions: Conditions based on moving average crossovers and RSI values for one type of sell signal. Conditions based on a combination of moving average, RSI, and HMA values for another type of sell signal. The script uses logical operations to combine conditions for generating sell signals. If any of the conditions are met, the 'sell' column is set to 1. The strategy involves a combination of technical indicators such as EMAs, HMAs, RSI, stochastic indicators, and others to determine buy and sell signals based on specific conditions. These conditions consider factors like price movements, momentum, volume, and indicator thresholds. The strategy aims to capture potential trading opportunities by generating signals for both buying and selling positions.
Computes the Hull Moving Average (HMA) with a window of 50.
Calculates a 100-period Exponential Moving Average (EMA).
Computes a 9-period Simple Moving Average (SMA). Calculates the Elder's Force Index (EFI) indicator. Calculates the Relative Strength Index (RSI) with different time periods. Computes stochastic indicators for fast %K and %D values. Calculates the Chaikin Trend Index (CTI) and its moving average. Computes the Chande Momentum Oscillator (CMO). Buy Signal Generation (populate_buy_trend): Generates buy signals based on various conditions: RSI fast is below 35. Close price is below a specific moving average multiplied by a low offset. EWO (Elder's Force Index) is above a certain value. RSI is below a predefined buy threshold. Volume is greater than zero. Close price is below another moving average multiplied by a high offset. Additional conditions with RSI below 25 for a different buy tag. Generates different buy tags based on conditions. Sell Signal Generation (populate_sell_trend): Generates sell signals based on conditions: Conditions based on moving average crossovers and RSI values for one type of sell signal. Conditions based on a combination of moving average, RSI, and HMA values for another type of sell signal. The script uses logical operations to combine conditions for generating sell signals. If any of the conditions are met, the 'sell' column is set to 1. The strategy involves a combination of technical indicators such as EMAs, HMAs, RSI, stochastic indicators, and others to determine buy and sell signals based on specific conditions. These conditions consider factors like price movements, momentum, volume, and indicator thresholds. The strategy aims to capture potential trading opportunities by generating signals for both buying and selling positions.
stoploss: -0.04 timeframe: 5m hash(sha256): 89353fd491db89bf06d131695b50362e2935bd4eed50b416aa820e5500e7b5b3 indicators: rsi_buy EWO ewo_high ewo_low high_offset_2 close cti_mean ewo_high_2 sell_signal fastk rsi_fast ma_sell_val ma_buy_val volume low_offset retries high_offset low_offset_2 fastd base_nb_candles_buy fast_d ewobad ___retries base_nb_candles_sell hma_50 buy buy_tag cti sma_9 ema_100 max_slippage rsi_slow rsi fast_k low cmo
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last change: 2023-08-07 02:52:41