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Strategy: ADXMomentumHO
Downloaded: 20220116
Stoploss: -0.25


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The ADXMomentumHO strategy is a trading strategy that aims to identify trends and momentum in the market. It is based on the Average Directional Index (ADX) and momentum indicators. Here's a breakdown of how the strategy works: The strategy uses the ADX indicator, which measures the strength of a trend, to determine the overall trend in the market.

It also calculates the Plus Directional Indicator (+DI) and Minus Directional Indicator (-DI) using the PLUS_DI and MINUS_DI functions from the Technical Analysis Library (TA-Lib).

These indicators help identify the direction of the trend.

The strategy calculates the momentum of the price using the MOM function from TA-Lib. Momentum measures the rate of change of the price over a specified period. To generate buy signals, the strategy looks for conditions where the ADX is above a certain threshold (buy_adx_limit), the momentum is positive (mom > buy_mom_limit), the +DI is higher than the -DI (plus_di > minus_di), and the +DI is above a certain threshold (plus_di > buy_plus_di_limit). Similarly, to generate sell signals, the strategy looks for conditions where the ADX is above another threshold (sell_adx_limit), the momentum is negative (mom < sell_mom_limit), the -DI is higher than the +DI (minus_di > plus_di), and the -DI is above a certain threshold (minus_di > sell_minus_di_limit). The strategy applies these conditions to the historical price data and generates signals to buy or sell at specific points. The strategy also defines a minimal return on investment (ROI) and a stop-loss value to manage risk. The timeframe used for the strategy is 1 hour (timeframe = '1h'). The strategy requires a startup candle count of 20, meaning it needs at least 20 candles of historical data before it can produce valid signals. Overall, the ADXMomentumHO strategy combines the ADX, momentum, and directional indicators to identify potential trading opportunities based on trend strength and momentum.

stoploss: -0.25
timeframe: 1h
hash(sha256): 5cec9fa006be00ce782e8a0d452a1a3933aea5549145890b7dcfc06c9f15d498

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last change: 2023-06-23 08:25:35