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Strategy: Definitive
Downloaded: 20220111
Stoploss: -0.25


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The Definitive strategy is a basic trading strategy implemented in Python. It is used for backtesting on a website that tests various trading strategies. Here's a brief description of what the strategy does: The strategy defines a minimal return on investment (ROI) of 0.05, indicating that it aims to achieve at least a 5% return.

It sets a stop loss level of -0.25, which means that if the trade's value drops by 25%, it will be automatically sold to limit potential losses.

The strategy operates on 5-minute timeframes, meaning that it analyzes and makes trading decisions based on data from 5-minute intervals.

The populate_indicators function is used to calculate technical indicators or populate additional data needed for the strategy. However, in this implementation, it returns the original dataframe without any modifications. The populate_buy_trend function is responsible for determining the conditions under which a buy signal is generated. In this case, it doesn't specify any conditions, resulting in a buy signal being generated for all data points in the dataframe. The populate_sell_trend function determines the conditions under which a sell signal is generated. Similar to the buy signal, it doesn't specify any conditions, resulting in a sell signal being generated for all data points in the dataframe. Overall, the Definitive strategy is a simple strategy that generates buy and sell signals without considering any technical indicators or specific trading conditions. It primarily serves as a baseline strategy for testing and comparison purposes on the backtesting website.

stoploss: -0.25
timeframe: 5m
hash(sha256): 2312e3a3100912d48c9ae7b77513369fdf40a6ef7938a3b7f0ce0cf4c41acd57

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last change: 2023-06-30 12:52:35