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The NFIV7_7_2 strategy is a trading strategy that involves backtesting various indicators and conditions on different timeframes to make buying decisions. Here is a breakdown of its key components:
Indicator Population:
BTC informative (5m/1h): Retrieves BTC/USDT data on the 5-minute and 1-hour timeframes and merges it with the current dataframe. Informative timeframe: Adds indicators from an informative timeframe (if specified) to the current dataframe.
Resampled to another timeframe: Resamples the dataframe to a different timeframe (if specified) and adds corresponding indicators.
The indicators for the normal (5m) timeframe: Adds indicators specific to the normal 5-minute timeframe.
Buy Trend Population: Defines a list of conditions for initiating buy signals. Checks various indicators and conditions based on configurable parameters to determine if a buy signal should be generated. Each condition is appended to the item_buy_logic list based on the specified index. The strategy incorporates indicators such as moving averages (EMA), relative strength index (RSI), money flow index (MFI), Bollinger Bands, volume, and more. The specific conditions and parameters for each buy signal are determined by the index value. This strategy aims to automate the backtesting process for multiple trading strategies by applying indicators and conditions to historical data and generating buy signals based on predefined rules.
Resampled to another timeframe: Resamples the dataframe to a different timeframe (if specified) and adds corresponding indicators.
The indicators for the normal (5m) timeframe: Adds indicators specific to the normal 5-minute timeframe.
Buy Trend Population: Defines a list of conditions for initiating buy signals. Checks various indicators and conditions based on configurable parameters to determine if a buy signal should be generated. Each condition is appended to the item_buy_logic list based on the specified index. The strategy incorporates indicators such as moving averages (EMA), relative strength index (RSI), money flow index (MFI), Bollinger Bands, volume, and more. The specific conditions and parameters for each buy signal are determined by the index value. This strategy aims to automate the backtesting process for multiple trading strategies by applying indicators and conditions to historical data and generating buy signals based on predefined rules.
stoploss: -0.99 timeframe: 5m hash(sha256): ac2379308e4e8f3b815153c8aa0d4fdbb917956b8b061d314f319e3f5f423cef
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last change: 2022-10-03 21:56:32