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The "PRICEFOLLOWING" strategy is a trading strategy that utilizes various technical analysis indicators to make buy and sell decisions. Here's a breakdown of what the strategy does:
The method "populate_indicators" adds several technical analysis indicators to the given DataFrame. These indicators include:
ADX (Average Directional Index)
RSI (Relative Strength Index)
MACD (Moving Average Convergence Divergence)
EMA (Exponential Moving Average)
SAR (Stop and Reverse)
TEMA (Triple Exponential Moving Average)
HT_SINE (Hilbert Transform - Sine Wave)
Heikin Ashi (a candlestick charting technique)
The method "populate_buy_trend" is responsible for determining the buy signals based on the indicator values.
It checks conditions such as: RSI being below a certain value (if enabled) EMA7 crossing below TEMA TEMA being lower than its previous value If these conditions are met, the "buy" column in the DataFrame is set to 1, indicating a buy signal.
The method "populate_sell_trend" determines the sell signals based on the indicator values.
It checks conditions such as: RSI being below a certain value (if enabled) EMA7 crossing above TEMA If these conditions are met, the "sell" column in the DataFrame is set to 1, indicating a sell signal. The strategy combines these indicators and conditions to generate buy and sell signals for trading. It can be used for backtesting different trading strategies by evaluating their performance based on historical data.
It checks conditions such as: RSI being below a certain value (if enabled) EMA7 crossing below TEMA TEMA being lower than its previous value If these conditions are met, the "buy" column in the DataFrame is set to 1, indicating a buy signal.
The method "populate_sell_trend" determines the sell signals based on the indicator values.
It checks conditions such as: RSI being below a certain value (if enabled) EMA7 crossing above TEMA If these conditions are met, the "sell" column in the DataFrame is set to 1, indicating a sell signal. The strategy combines these indicators and conditions to generate buy and sell signals for trading. It can be used for backtesting different trading strategies by evaluating their performance based on historical data.
stoploss: -0.1 timeframe: 5m hash(sha256): 59c51dfde6be628dbd1690161dc2fb494b1ac1e5c218f78a061bc0563d260075 indicators: htsine tema ha_low asks close macdhist htleadsine leadsine open best_ask sar ha_open high macdsignal bids ha_close macd ema7 best_bid ha_high adx rsi sine low ema24
Similar Strategies: (based on used indicators)
Strategy: PRICEFOLLOWING2, Similarity Score: 96.15%
Strategy: Machete, Similarity Score: 88.46%
last change: 2023-06-24 21:46:32