Wordcloud
Strategy: ReinforcedSmoothScalp_2
Downloaded: 20230426
Stoploss: -0.8
The ReinforcedSmoothScalp strategy is designed to generate a large number of potential buy signals and make small profits on each trade. Here is a short description of what the strategy does: The strategy recommends having at least 60 parallel trades at any time to cover unavoidable losses. It targets a minimal ROI of 2% for each trade.

The stop loss is set at -0.8, meaning a maximum loss of 0.8% is allowed before selling.

The strategy operates on a ticker interval of 1 minute, aiming for short-term trades.

The data is resampled to establish the general trend using a resample factor of 5. Various indicators are calculated, including exponential moving averages (EMA), stochastic oscillators (STOCH), average directional index (ADX), commodity channel index (CCI), relative strength index (RSI), and money flow index (MFI). Bollinger Bands are also calculated for graphing purposes. The buy signal is generated when specific conditions are met, such as the price being below the EMA low, ADX above 30, MFI below 30, fastK and fastD below 30 with a cross above, and resampled SMA below the closing price. The sell signal is generated when conditions indicate a possible exit, such as the price being above the EMA high, fastK or fastD crossing above 70, and CCI above 100. The strategy also includes a resampling function that establishes the trend by resampling the data and calculating a resampled SMA. Overall, the strategy aims to identify short-term trading opportunities and generate small profits on each trade.

stoploss: -0.8
timeframe: 1m
hash(sha256): c673a8cb310ee37a8755d8a44319dd14d75e6392241a3afba65cd88850993935
indicators:
upper ema_close close mfi bb_lowerband
fastk date open fastd mid
ema_high cci ema_low open high
low close adx lower bb_middleband
rsi bb_upperband resample_sma

Similar Strategies: (based on used indicators)

Strategy: ReinforcedSmoothScalp, Similarity Score: 95.83%
Strategy: ReinforcedSmoothScalp_117, Similarity Score: 95.83%
Strategy: ReinforcedSmoothScalp_3, Similarity Score: 95.83%
Strategy: tSmoothScalp20230110, Similarity Score: 95.83%
Strategy: ReinforcedSmoothScalp2, Similarity Score: 91.67%
Strategy: ReinforcedSmoothScalp_230224, Similarity Score: 91.67%
Strategy: ReinforcedSmoothScalp_4, Similarity Score: 91.67%
Strategy: ReinforcedSmoothScalp_429, Similarity Score: 91.67%
Strategy: ReinforcedSmoothScalp_450, Similarity Score: 91.67%
Strategy: ReinforcedSmoothScalp_97, Similarity Score: 91.67%
Strategy: ScalpStrategy, Similarity Score: 91.67%
Strategy: StrategyScalpingFast2_288, Similarity Score: 91.67%
Strategy: StrategyScalpingFast2_3, Similarity Score: 91.67%
Strategy: StrategyScalpingFast2_4, Similarity Score: 91.67%
Strategy: StrategyScalpingFast2_6, Similarity Score: 91.67%

last change: 2024-04-29 20:45:54