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The BinHV27_short strategy is designed for backtesting trading strategies. Here's a short description of what the strategy does:
This strategy uses various technical indicators to make buy and sell decisions. In the populate_indicators method, it calculates and adds indicators such as RSI, EMA, ADX, MINUS_DI, PLUS_DI, SMA, and others to the input dataframe.
These indicators are used to identify trends, momentum, and other market conditions.
In the populate_entry_trend method, the strategy defines several conditions for entering a trade.
These conditions include checking the relationship between different moving averages, RSI values, ADX values, and other indicators. Depending on the values of these indicators, specific "buy" tags are assigned to the dataframe to indicate potential entry points for trades. The populate_exit_trend method is responsible for determining the conditions for exiting a trade. In this strategy, it sets the exit tags to indicate when to close a trade based on predefined rules. There are also custom methods like custom_stoploss and custom_sell that define additional rules for stop-loss and selling, respectively. These methods consider factors such as current profit, trade duration, and various configurable parameters to determine when to exit a trade or adjust the stop-loss level. Overall, the BinHV27_short strategy combines multiple indicators and predefined conditions to generate trade signals and manage positions in a backtesting environment.
These indicators are used to identify trends, momentum, and other market conditions.
In the populate_entry_trend method, the strategy defines several conditions for entering a trade.
These conditions include checking the relationship between different moving averages, RSI values, ADX values, and other indicators. Depending on the values of these indicators, specific "buy" tags are assigned to the dataframe to indicate potential entry points for trades. The populate_exit_trend method is responsible for determining the conditions for exiting a trade. In this strategy, it sets the exit tags to indicate when to close a trade based on predefined rules. There are also custom methods like custom_stoploss and custom_sell that define additional rules for stop-loss and selling, respectively. These methods consider factors such as current profit, trade duration, and various configurable parameters to determine when to exit a trade or adjust the stop-loss level. Overall, the BinHV27_short strategy combines multiple indicators and predefined conditions to generate trade signals and manage positions in a backtesting environment.
stoploss: -0.99 timeframe: 5m hash(sha256): d88ca1408217a15d3a4998d430fa673792316f773bdf0d6d8c3ae367d3ae20ef indicators: static decay step preparechangetrend candledowntrend close zema lowsma emaDec exit_long exit_tag roc time any none ema1 maxdown delta candleup ema90 smaHigh trend btc_usdt_ema90_1d ATR minusdi sslDown maxup slowingdown continueup open hlv low_change highsma slowsma rmi smaLow close_change high sslUp high_change bigdown ssldir emarsi bigup hadtrend btc_usdt_close_1d sroc ema2 minusdiema adx plusdi fastsma preparechangetrendconfirm rmi ssl candle any none rsi enter_long enter_tag rmiup rmidowntren
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last change: 2024-10-01 19:22:15