Strategy: SMAOffsetProtectOptV1HO1
Downloaded: 20220113
Stoploss: -0.5

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Average Overall
Trades/DayRejected Signals
Ninja Score: 62
The strategy implemented in the provided code is called "SMAOffsetProtectOptV1HO1". Here is a short description of what the strategy does: The strategy is designed to perform backtesting of trading strategies using the Freqtrade platform. It uses a combination of technical indicators such as Exponential Moving Average (EMA), Elliot Wave Oscillator (EWO), and Relative Strength Index (RSI) to generate buy and sell signals.

The strategy employs a Simple Moving Average (SMA) offset technique for buying and selling.

It calculates multiple moving averages for buying and selling, based on the specified number of candles.

The offset parameters determine the buy and sell thresholds relative to the moving averages. The strategy also incorporates a protection mechanism based on the EWO indicator. It sets a range for the EWO values, and if the EWO value falls below the specified low threshold or exceeds the high threshold, it generates a buy signal. Additionally, the strategy uses the RSI indicator to generate buy signals when the RSI value is below a specified threshold. For selling, the strategy generates sell signals when the closing price exceeds the specified offset percentage above the moving average. The strategy includes other features such as a trailing stop loss, profit-taking options, and the ability to define the optimal timeframe for the strategy. Please note that this description provides an overview of the strategy, and the actual performance may vary depending on the specific parameters and market conditions used during backtesting.

startup_candle_count : 30
Recursive Analysis found no issues while using 30 startup_candle_count
stoploss: -0.5
timeframe: 5m
hash(sha256): 6a0ad15e1c2d79ed5b51ac9efd9725dfa07d39523ba274d7131631f162cbb51a
rsi_buy ma_sell_val volume EWO ewo_high
low_offset close ewo_low rsi high_offset
base_nb_candles_sell base_nb_candles_buy ma_buy_val

No similar strategies found. (based on used indicators)

last change: 2024-04-02 00:01:06