You will be redirected to the original Strategy in 15 seconds.
The UziChan strategy is a trading strategy that uses various indicators to determine buying and selling opportunities in the market. Here is a breakdown of what the strategy does:
The populate_indicators function calculates and adds several indicators to the input dataframe, including:
uc_mid: A simple moving average of the closing prices. uc_stdv: The standard deviation of the uc_mid values over a specified period.
uc_low: An exponential moving average of (uc_mid - uc_stdv) values.
uc_up: An exponential moving average of (uc_mid + uc_stdv) values.
co: The Chaikin A/D Oscillator. The populate_buy_trend function identifies buy signals based on specific conditions: If the current closing price or opening price is lower than the uc_low value. If the current co value is greater than the previous co value. The populate_sell_trend function identifies sell signals based on the following condition: If the current high price is higher than the uc_up value. If the current co value is greater than the previous co value. The UziChanTB class extends the UziChan class and adds additional functionality to the strategy. It overrides the populate_indicators function to calculate additional indicators such as percentage change, exponential moving average of percentage change, and normalized percentage change. The strategy also includes trailing buy and sell functionality, which dynamically adjusts buy and sell levels based on market conditions. The populate_buy_trend and populate_sell_trend functions in the UziChanTB class contain additional logic related to trailing buy and sell orders. Note: The provided code snippet is incomplete and contains some parts that are cut off. It may not be possible to provide a complete understanding of the strategy without the full code.
uc_low: An exponential moving average of (uc_mid - uc_stdv) values.
uc_up: An exponential moving average of (uc_mid + uc_stdv) values.
co: The Chaikin A/D Oscillator. The populate_buy_trend function identifies buy signals based on specific conditions: If the current closing price or opening price is lower than the uc_low value. If the current co value is greater than the previous co value. The populate_sell_trend function identifies sell signals based on the following condition: If the current high price is higher than the uc_up value. If the current co value is greater than the previous co value. The UziChanTB class extends the UziChan class and adds additional functionality to the strategy. It overrides the populate_indicators function to calculate additional indicators such as percentage change, exponential moving average of percentage change, and normalized percentage change. The strategy also includes trailing buy and sell functionality, which dynamically adjusts buy and sell levels based on market conditions. The populate_buy_trend and populate_sell_trend functions in the UziChanTB class contain additional logic related to trailing buy and sell orders. Note: The provided code snippet is incomplete and contains some parts that are cut off. It may not be possible to provide a complete understanding of the strategy without the full code.
stoploss: -0.1 timeframe: 5m hash(sha256): 0c5f5e443213617d03772b9e33f1f96b5370475acf036fe0e72d47b571538f6f
Was not able to fetch indicators from Strategyfile.
last change: 2022-07-26 20:52:15