The VuManChuSwing strategy is a trading strategy that involves using range filters and volume conditions to determine buy and sell signals. Here is a breakdown of what the strategy does:
In the populate_indicators function, the strategy calculates the range size based on the close price and specified parameters. It also calculates the high band, low band, and range filter values.
In the populate_buy_trend function, the strategy defines various conditions for determining buy signals.
These conditions involve checking the direction of the range filter and comparing it with previous values.
The strategy also checks for upward and downward trends. If the conditions are met, the strategy sets the buy_tag column to 'vmc' and appends the volume condition to the list of conditions. After evaluating all the conditions, the strategy sets the buy column to 1 for the rows where any of the conditions are true. In the populate_sell_trend function, the strategy sets the sell column to 0 for rows where the volume is greater than 0. Overall, the VuManChuSwing strategy uses range filters, volume conditions, and trend analysis to generate buy and sell signals. The strategy looks for specific patterns and conditions in the data to make trading decisions.
In the populate_buy_trend function, the strategy defines various conditions for determining buy signals.
These conditions involve checking the direction of the range filter and comparing it with previous values.
The strategy also checks for upward and downward trends. If the conditions are met, the strategy sets the buy_tag column to 'vmc' and appends the volume condition to the list of conditions. After evaluating all the conditions, the strategy sets the buy column to 1 for the rows where any of the conditions are true. In the populate_sell_trend function, the strategy sets the sell column to 0 for rows where the volume is greater than 0. Overall, the VuManChuSwing strategy uses range filters, volume conditions, and trend analysis to generate buy and sell signals. The strategy looks for specific patterns and conditions in the data to make trading decisions.
stoploss: -0.11 timeframe: 1h hash(sha256): e123b4ceba56497748b7ca51d7791e776c957cf43f281c6d004fe71eb964e958 indicators: rng_multiplier volume rng_filt rng_size rng_period AC lo_band avrng hi_band hi_bandlo_bandrng_filt
No similar strategies found. (based on used indicators)
last change: 2024-04-29 00:14:35