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Strategy: BinHV27_short
Downloaded: 20220522
Stoploss: -0.99


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Average Overall
BuysAvgprofTotProfWin%DD%Time
4720-2.54910173.7
SharpeSortinoCalmar
-4.5-5.5-14
Prof.FactorExpectancyCagr
0.950-0.2
Trades/DayRejected Signals
17.09110
Ninja Score: 24
The BinHV27_short strategy is designed for backtesting trading strategies. Here's a brief description of what the strategy does: populate_indicators function: Calculates various technical indicators such as RSI, ADX, EMA, and SMA based on the input data. Generates additional columns in the dataframe to store the calculated indicators.

populate_entry_trend function: Defines several conditions for potential buy signals based on different indicator values.

Evaluates the conditions and assigns corresponding tags to the dataframe to indicate buy signals.

populate_exit_trend function: Sets exit signals for both long and short positions as 0 (no exit signal) and assigns exit tags accordingly. synchronize_portfolio function: Not included in the provided code snippet. get_leverage function: Returns the desired leverage value specified in the strategy. Overall, the BinHV27_short strategy calculates various technical indicators, identifies potential buy signals based on specific conditions, sets exit signals, and determines the desired leverage for the trading strategy.

stoploss: -0.99
timeframe: 5m
hash(sha256): 2736fa7c17370fdf3ecb6489e2f96026f77053dde6b8ba570fe2a1d50129d317
indicators:
preparechangetrend close lowsma exit_long exit_tag
delta trend minusdi slowingdown continueup
slowsma highsma bigdown emarsi bigup
minusdiema adx plusdi fastsma preparechangetrendconfirm
enter_long enter_tag rsi exit_short exit_tag
plusdiema

Similar Strategies: (based on used indicators)

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Strategy: BinHV27_short_10, Similarity Score: 88.89%
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last change: 2024-10-01 15:36:41