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Strategy: BinHV27_short_7
Downloaded: 20220702
Stoploss: -0.99


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The BinHV27_short strategy is designed for backtesting trading strategies. Here's a breakdown of what the strategy does: It populates various indicators based on the provided dataframe and metadata. The strategy defines conditions for entering a trade (populate_entry_trend method) based on multiple criteria, including RSI, moving averages, trend direction, and other technical indicators.

It also defines conditions for exiting a trade (populate_exit_trend method) based on predefined exit rules.

The strategy calculates the proposed leverage based on certain parameters.

It includes a custom stop loss mechanism (custom_stop_loss method) that determines when to exit a trade based on the current profit and specified stop loss thresholds. It also includes a custom sell mechanism (custom_sell method) that determines when to sell a trade based on the current profit and predefined rules, such as pullback amount and minimum return on investment (ROI). Overall, the strategy combines various technical indicators and rules to determine entry and exit points for trades. It also incorporates risk management elements, such as stop loss and sell rules, to protect against potential losses.

stoploss: -0.99
timeframe: 5m
hash(sha256): 5df968d237cc7ae06dc2f6c495c6fac391d3788f7114cc33501a3a6bd344bd49
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

Similar Strategies: (based on used indicators)

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last change: 2024-11-01 23:43:10