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The E0V1E strategy is a backtesting trading strategy implemented in Python. It aims to generate profits by identifying potential buying opportunities and determining exit points for trades. Here is a short description of what the strategy does:
Timeframe: The strategy operates on 5-minute candlestick data.
Indicators: The strategy uses several technical indicators to make trading decisions.
These indicators include Simple Moving Average (SMA), Commodity Channel Index (CTI), Relative Strength Index (RSI), and Stochastic Fast (STOCHF).
Entry Conditions: The strategy defines entry conditions based on the values of the indicators. It looks for a combination of conditions such as the RSI values, SMA value compared to the close price, and CTI value. If these conditions are met, a buy signal is generated. Exit Conditions: The strategy has a custom stop-loss mechanism. If a trade is in profit and the Stochastic Fast indicator exceeds a certain threshold (sell_fastx), a small negative stop-loss value (-0.0001) is set to protect the profits. Otherwise, a predefined stop-loss value (-0.1) is used. ROI (Return on Investment): The strategy has a minimal ROI (Return on Investment) target of 10, meaning it aims to achieve at least a 10% return on each trade. Please note that this description provides a general overview of the strategy and may not capture all the intricacies or nuances of its implementation.
Indicators: The strategy uses several technical indicators to make trading decisions.
These indicators include Simple Moving Average (SMA), Commodity Channel Index (CTI), Relative Strength Index (RSI), and Stochastic Fast (STOCHF).
Entry Conditions: The strategy defines entry conditions based on the values of the indicators. It looks for a combination of conditions such as the RSI values, SMA value compared to the close price, and CTI value. If these conditions are met, a buy signal is generated. Exit Conditions: The strategy has a custom stop-loss mechanism. If a trade is in profit and the Stochastic Fast indicator exceeds a certain threshold (sell_fastx), a small negative stop-loss value (-0.0001) is set to protect the profits. Otherwise, a predefined stop-loss value (-0.1) is used. ROI (Return on Investment): The strategy has a minimal ROI (Return on Investment) target of 10, meaning it aims to achieve at least a 10% return on each trade. Please note that this description provides a general overview of the strategy and may not capture all the intricacies or nuances of its implementation.
startup_candle_count : 210 Recursive Analysis found no issues while using 210 startup_candle_count
stoploss: -0.1 timeframe: 5m hash(sha256): 0807d0735b7e2c696e0b70f230c0cf9b708d82693d482ae30376b4e82fb5f54d indicators: rsi_slow close rsi exit_long exit_tag fastd fastk cti rsi_fast sma_15
No similar strategies found. (based on used indicators)
last change: 2024-05-02 08:31:46