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The BigZ04_TSL3 strategy is a trading strategy that involves several conditions for buying assets. Here's a breakdown of the important parts of the strategy:
Indicators Population:
The strategy first populates indicators using a given DataFrame and metadata. It retrieves informative indicators from a 1-hour timeframe and merges them with the current timeframe.
It also adds normal timeframe indicators to the DataFrame.
Buy Trend Conditions: The strategy defines multiple conditions for initiating a buy order.
Each condition is represented as a separate element in the conditions list. The conditions are evaluated based on various indicators and criteria. Here are some of the important conditions: Condition 1: Checks if the close price is above the 200-day exponential moving average (ema_200), among other criteria. Condition 2: Considers the histogram (hist) being positive, along with other criteria. Condition 3: Takes into account a low RSI (Relative Strength Index) value and a volume-related condition. Condition 4: Considers the close price being below the lower Bollinger Band, along with volume-related criteria. Condition 5: Focuses on the convergence of moving averages (ema_12 and ema_26) and their relationship with the open price. These conditions are designed to capture specific market situations that suggest favorable buying opportunities. Additional Conditions: The strategy includes more conditions beyond those mentioned above, denoted as condition 6 and onwards. Each condition incorporates various indicators and criteria to identify potential buying opportunities. Overall, the strategy aims to generate buy signals based on the given conditions, which consider price movements, moving averages, RSI, Bollinger Bands, and volume-related factors. Implementing this strategy on a backtesting website would enable users to evaluate its performance and assess its effectiveness in different market scenarios.
It also adds normal timeframe indicators to the DataFrame.
Buy Trend Conditions: The strategy defines multiple conditions for initiating a buy order.
Each condition is represented as a separate element in the conditions list. The conditions are evaluated based on various indicators and criteria. Here are some of the important conditions: Condition 1: Checks if the close price is above the 200-day exponential moving average (ema_200), among other criteria. Condition 2: Considers the histogram (hist) being positive, along with other criteria. Condition 3: Takes into account a low RSI (Relative Strength Index) value and a volume-related condition. Condition 4: Considers the close price being below the lower Bollinger Band, along with volume-related criteria. Condition 5: Focuses on the convergence of moving averages (ema_12 and ema_26) and their relationship with the open price. These conditions are designed to capture specific market situations that suggest favorable buying opportunities. Additional Conditions: The strategy includes more conditions beyond those mentioned above, denoted as condition 6 and onwards. Each condition incorporates various indicators and criteria to identify potential buying opportunities. Overall, the strategy aims to generate buy signals based on the given conditions, which consider price movements, moving averages, RSI, Bollinger Bands, and volume-related factors. Implementing this strategy on a backtesting website would enable users to evaluate its performance and assess its effectiveness in different market scenarios.
startup_candle_count : 200 ema_50_1h: -0.001% macd: -0.001% signal: -0.002% hist: 0.002%
stoploss: -0.99 timeframe: 5m hash(sha256): 49aae769360226b3ae0115efa042afa218717141e9141ad618954fc14e7d3bbf indicators: upper ema_200 ema_50 close sma_5 bb_lowerband ema_200_1h ma_sell_val volume open volume_mean_slow mid macd rsi_1h bb_lowerband_1h hist atr lower ema_12 signal bb_middleband rsi bb_upperband ema_26 low close_1h
Similar Strategies: (based on used indicators)
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last change: 2023-07-03 18:35:17