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The TDSequentialStrategy is a trading strategy that utilizes several technical analysis (TA) indicators to generate buy and sell signals. In the populate_indicators method, various TA indicators are added to the input DataFrame. These indicators include 'exceed_high' and 'exceed_low', which are initially set to False.
Additionally, the strategy calculates the 'seq_buy' and 'seq_sell' values based on the comparison of the closing prices with their respective values shifted four periods ago.
The 'seq_buy' and 'seq_sell' values are then modified using groupby and cumcount operations.
The populate_indicators method also contains a loop that iterates over each row in the DataFrame. Within the loop, the strategy checks the value of 'seq_buy' and 'seq_sell' for each row and performs certain calculations based on their values. For example, if 'seq_buy' is 8, the strategy checks if the current row's low price is below the low prices of the two preceding rows. Similar calculations are performed for other cases of 'seq_buy' and 'seq_sell'. The populate_buy_trend method populates the 'buy' column in the DataFrame based on the TA indicators and conditions. If 'exceed_low' is True and 'seq_buy' is greater than 8, the 'buy' column is set to 1 for the corresponding row. The populate_sell_trend method populates the 'sell' column in the DataFrame based on the TA indicators and conditions. If 'exceed_high' is True or 'seq_sell' is greater than 8, the 'sell' column is set to 1 for the corresponding row. Overall, the TDSequentialStrategy aims to identify potential buying and selling opportunities based on the provided TA indicators and their respective conditions.
Additionally, the strategy calculates the 'seq_buy' and 'seq_sell' values based on the comparison of the closing prices with their respective values shifted four periods ago.
The 'seq_buy' and 'seq_sell' values are then modified using groupby and cumcount operations.
The populate_indicators method also contains a loop that iterates over each row in the DataFrame. Within the loop, the strategy checks the value of 'seq_buy' and 'seq_sell' for each row and performs certain calculations based on their values. For example, if 'seq_buy' is 8, the strategy checks if the current row's low price is below the low prices of the two preceding rows. Similar calculations are performed for other cases of 'seq_buy' and 'seq_sell'. The populate_buy_trend method populates the 'buy' column in the DataFrame based on the TA indicators and conditions. If 'exceed_low' is True and 'seq_buy' is greater than 8, the 'buy' column is set to 1 for the corresponding row. The populate_sell_trend method populates the 'sell' column in the DataFrame based on the TA indicators and conditions. If 'exceed_high' is True or 'seq_sell' is greater than 8, the 'sell' column is set to 1 for the corresponding row. Overall, the TDSequentialStrategy aims to identify potential buying and selling opportunities based on the provided TA indicators and their respective conditions.
stoploss: -0.05 timeframe: 1h hash(sha256): 18c8e9e537d1855db07ecbb50a1cf56c3813015228f81f3140503ef7fad6c254
Was not able to fetch indicators from Strategyfile.
last change: 2022-07-02 19:54:08