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Strategy: ObeliskRSI_v6_1_319
Downloaded: 20220113
Stoploss: -0.3
5mFailedSpotv2Link

Strategy failed backtesting!
Reason: Duplicate of ObeliskRSI_v6_1_668

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The ObeliskRSI_v6_1 strategy is a trading strategy implemented as a class in Python. Here's a description of what the strategy does: In the populate_indicators method, the strategy calculates the RSI (Relative Strength Index) indicator for a given dataframe. The dataframe is resampled to a specified interval, and the RSI is computed with a time period of 14.

The resampled RSI values are filled with the last valid value.

The strategy defines a condition for a bullish market based on the resampled RSI being greater than 60.

This condition is stored in a column called 'bull' in the dataframe. In the populate_buy_trend method, the strategy determines the conditions for initiating a buy trade. The volume should be greater than 0, and the RSI should cross below a specified value ('bull-buy-rsi-value') when the market is bullish or 'bear-buy-rsi-value' when the market is bearish. In the populate_sell_trend method, the strategy defines the conditions for selling a position. Similar to the buy conditions, the volume should be greater than 0. The RSI should be above a specified value ('bull-sell-rsi-value') when the market is bullish or 'bear-sell-rsi-value' when the market is bearish. The strategy calculates a dynamic stop-loss value based on the time elapsed since the trade was opened. The stop-loss percentage decreases gradually using a cubic easing function. The calculated stop-loss value is returned. Overall, this strategy uses the RSI indicator and market conditions to determine when to initiate buy or sell trades. It also incorporates a dynamic stop-loss mechanism based on the time since the trade was opened.

stoploss: -0.3
timeframe: 5m
hash(sha256): 4b171075743749eed49e9c529b3889852f38ed3fe02b70dc9682442182813373
indicators:
bearsellrsivalue bull volume _long _longrsi
rsi bullbuyrsivalue bullsellrsivalue bearbuyrsivalue

No similar strategies found. (based on used indicators)

last change: 2022-07-02 19:54:08