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The UziChan strategy is a backtesting strategy that uses various indicators to generate buy and sell signals for trading. Here's a breakdown of what the strategy does:
Populate Indicators: This function calculates and adds several indicators to the input dataframe, such as percentage change, exponential moving average, normalized percentage change, upper channel mid, upper channel standard deviation, upper channel low, upper channel up, and Accumulation/Distribution Oscillator (ADOSC). Populate Buy Trend: This function identifies buy signals based on specific conditions.
It sets the 'buy' column in the dataframe to 1 when the following conditions are met: the close price or open price is lower than the upper channel low, and the ADOSC value is greater than the previous ADOSC value.
Populate Sell Trend: This function identifies sell signals based on a specific condition.
It sets the 'sell' column in the dataframe to 1 when the high price is higher than the upper channel up, and the ADOSC value is greater than the previous ADOSC value. The UziChan strategy is derived from the base class IStrategy and overrides the populate_indicators, populate_buy_trend, and populate_sell_trend methods. Additionally, there is a subclass UziChanTB that extends the UziChan strategy and adds trailing buy and sell functionality. The trailing buy and sell logic is not explicitly provided in the code snippet, but it seems to involve tracking the current price, comparing it with predefined thresholds, and making decisions based on the trailing buy and sell conditions. Logging statements are used to provide information about the trailing buy and sell process. Overall, the UziChan strategy aims to generate buy and sell signals based on the calculated indicators and additional trailing buy and sell functionality.
It sets the 'buy' column in the dataframe to 1 when the following conditions are met: the close price or open price is lower than the upper channel low, and the ADOSC value is greater than the previous ADOSC value.
Populate Sell Trend: This function identifies sell signals based on a specific condition.
It sets the 'sell' column in the dataframe to 1 when the high price is higher than the upper channel up, and the ADOSC value is greater than the previous ADOSC value. The UziChan strategy is derived from the base class IStrategy and overrides the populate_indicators, populate_buy_trend, and populate_sell_trend methods. Additionally, there is a subclass UziChanTB that extends the UziChan strategy and adds trailing buy and sell functionality. The trailing buy and sell logic is not explicitly provided in the code snippet, but it seems to involve tracking the current price, comparing it with predefined thresholds, and making decisions based on the trailing buy and sell conditions. Logging statements are used to provide information about the trailing buy and sell process. Overall, the UziChan strategy aims to generate buy and sell signals based on the calculated indicators and additional trailing buy and sell functionality.
startup_candle_count : 50 Recursive Analysis found no issues while using 50 startup_candle_count
stoploss: -0.1 timeframe: 5m hash(sha256): 6c027f1bf19c9bf51e13a80903097665e2b63d0c074a0c43d36e7217b281d1df indicators: sell uc_low close perc_norm uc_mid perc fastperiod open buy_tag high uc_up sell_tag buy uc_stdv offset co runmode avg3_perc low
Similar Strategies: (based on used indicators)
Strategy: MrDiro, Similarity Score: 95%
Strategy: UziChan2, Similarity Score: 95%
last change: 2023-07-01 16:45:53