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The "MostOfAll" strategy is a trading strategy that uses technical analysis (TA) indicators to make buy and sell decisions. The strategy consists of three main steps: populating indicators, populating buy signals, and populating sell signals. In the first step, the strategy populates several TA indicators in the given DataFrame.
These indicators include "most," "exma," and "trend." These indicators are calculated using the input data from the exchange.
In the second step, the strategy populates the buy signals based on the TA indicators.
The buy signal is triggered when the bullish fractal is active and below the teeth of the gator. Additionally, the volume of the asset should be greater than zero for the buy signal to be valid. In the third step, the strategy populates the sell signals based on the TA indicators. The sell signal is triggered when the bearish fractal is active and above the teeth of the gator. Similar to the buy signal, the volume of the asset should be greater than zero for the sell signal to be valid. Overall, this strategy combines different TA indicators to generate buy and sell signals based on specific conditions. It aims to capture potential market trends and make trading decisions accordingly.
These indicators include "most," "exma," and "trend." These indicators are calculated using the input data from the exchange.
In the second step, the strategy populates the buy signals based on the TA indicators.
The buy signal is triggered when the bullish fractal is active and below the teeth of the gator. Additionally, the volume of the asset should be greater than zero for the buy signal to be valid. In the third step, the strategy populates the sell signals based on the TA indicators. The sell signal is triggered when the bearish fractal is active and above the teeth of the gator. Similar to the buy signal, the volume of the asset should be greater than zero for the sell signal to be valid. Overall, this strategy combines different TA indicators to generate buy and sell signals based on specific conditions. It aims to capture potential market trends and make trading decisions accordingly.
stoploss: -0.2 timeframe: 5m hash(sha256): 97ce2cc284d857971e28d9c2bf2a701ca19401011310e0703a0d9109227cbf1a indicators: basic_lb volume basic_ub trend exma final_lb basic_ub basic_lb final_ub final_lb final_ub most
No similar strategies found. (based on used indicators)
last change: 2024-04-29 00:36:35