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Strategy: CofiBitStrategy_126
Downloaded: 20220112
Stoploss: -0.25


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The CofiBitStrategy is a trading strategy designed for backtesting on a website. Here's a brief description of what the strategy does: The strategy uses various technical indicators to generate buy and sell signals based on specific conditions in the price data. The buy parameters include "buy_fastx" and "buy_adx," which are integer values used as thresholds for making buy decisions.

The sell parameter is "sell_fastx," an integer value used as a threshold for generating sell signals.

The strategy defines a minimal return on investment (ROI) for the trades.

The ROI values are specified in the "minimal_roi" dictionary, where the keys represent the time periods, and the values represent the expected ROI for that period. The stoploss value is set to -0.25, indicating that if the trade's price drops by 25%, it will be automatically sold to limit losses. The timeframe for analyzing the price data is set to 5 minutes. The strategy uses various indicators such as Stochastic Fast, Exponential Moving Averages (EMA), and Average Directional Index (ADX) to generate buy and sell signals. In the "populate_buy_trend" function, the strategy identifies conditions for buying, such as the price crossing below the EMA low, the Stochastic Fast crossing above its signal line, and the ADX value being above the specified threshold. In the "populate_sell_trend" function, the strategy identifies conditions for selling, such as the price crossing above the EMA high or the Stochastic Fast crossing above the specified sell threshold. Overall, the CofiBitStrategy aims to generate buy and sell signals based on the specified technical indicators and parameters, with the goal of achieving a positive return on investment while managing risk through a stoploss.

startup_candle_count : 50
adx: -7.240%
stoploss: -0.25
timeframe: 5m
hash(sha256): c878385798466596ae26237bce7d415bb850a2ba8a90ec0813b61c090aea43e6
indicators:
ema_close adx ema_high open ema_low
fastd fastk

No similar strategies found. (based on used indicators)

last change: 2023-07-05 15:31:33