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The LookaheadStrategy is a trading strategy implemented in Python for backtesting purposes. Here's a brief description of what the strategy does:
It defines buy and sell parameters for executing trades. It specifies a table of return on investment (ROI) values at different time intervals.
It sets a stop loss value to limit potential losses.
It enables trailing stop functionality to protect profits.
It sets the timeframe for the strategy to operate on as 5 minutes. It calculates informative indicators based on a 1-hour timeframe, including the exponential moving average (EMA) with a period of 50. It merges the informative indicator data with the original dataframe. It calculates additional indicators for buying and selling using simple moving averages (SMA) with periods defined in the buy and sell parameters. It determines entry conditions based on the crossing of the fast and slow EMAs and the closing price being above the 1-hour EMA. It marks the entry signal with a "1" and a "buy_reason" tag. It determines exit conditions based on the crossing of the fast and slow EMAs. It marks the exit signal with a "1" and a "some_exit_tag" tag. Overall, the LookaheadStrategy combines multiple indicators and conditions to generate buy and sell signals for backtesting trading strategies.
It sets a stop loss value to limit potential losses.
It enables trailing stop functionality to protect profits.
It sets the timeframe for the strategy to operate on as 5 minutes. It calculates informative indicators based on a 1-hour timeframe, including the exponential moving average (EMA) with a period of 50. It merges the informative indicator data with the original dataframe. It calculates additional indicators for buying and selling using simple moving averages (SMA) with periods defined in the buy and sell parameters. It determines entry conditions based on the crossing of the fast and slow EMAs and the closing price being above the 1-hour EMA. It marks the entry signal with a "1" and a "buy_reason" tag. It determines exit conditions based on the crossing of the fast and slow EMAs. It marks the exit signal with a "1" and a "some_exit_tag" tag. Overall, the LookaheadStrategy combines multiple indicators and conditions to generate buy and sell signals for backtesting trading strategies.
Biased Entry Signals:
20Biased Exit Signals:
3
stoploss: -0.194 timeframe: 5m hash(sha256): a34df9abb5efb84716e4b59c84f1d40692a7a2c32bb301c9ee981f4e0f2c8115 indicators: buy_ema_fast sell_ema_fast close sell_ema_slow buy_ema_slow
No similar strategies found. (based on used indicators)
last change: 2023-07-04 00:41:21