The strategy implemented in the provided code is a stochastic oscillator-based trading strategy. Here's a brief description of what the strategy does:
The strategy uses the stochastic oscillator indicator to identify potential buy and sell signals. In the populate_indicators method, the strategy calculates the slow %K and %D values using the talib.STOCH function based on the high, low, and close prices of the asset.

In the populate_buy_trend method, the strategy generates a buy signal when the slow %K line crosses above the slow %D line.

In the populate_sell_trend method, the strategy generates a sell signal when the slow %K and %D values are above certain thresholds (slow %D > 95 and slow %K > 69).

The strategy uses a fixed stop-loss value of -0.05 (5%) and defines a minimal return on investment (ROI) of 1000% for backtesting purposes. The strategy operates on 1-hour timeframe candles and requires at least 60 candles of historical data for initialization. Please note that this is a simplified explanation, and there may be additional details and considerations specific to your implementation that are not mentioned here.

In the populate_buy_trend method, the strategy generates a buy signal when the slow %K line crosses above the slow %D line.

In the populate_sell_trend method, the strategy generates a sell signal when the slow %K and %D values are above certain thresholds (slow %D > 95 and slow %K > 69).

The strategy uses a fixed stop-loss value of -0.05 (5%) and defines a minimal return on investment (ROI) of 1000% for backtesting purposes. The strategy operates on 1-hour timeframe candles and requires at least 60 candles of historical data for initialization. Please note that this is a simplified explanation, and there may be additional details and considerations specific to your implementation that are not mentioned here.

stoploss:0timeframe:1hhash(sha256):0bf6ad92ea2c886618e807ea22a0cdda0ff61403948bfdefd602a75f3c785fddindicators:high slowk slowd close open low

No similar strategies found. (based on used indicators)last change: 2024-01-28 17:22:35