The MultiMA_TSL3 strategy is a trading strategy that uses multiple moving averages and technical indicators to determine buying opportunities in the market. Here's a breakdown of what the strategy does:
It populates various indicators based on the input dataframe, including:
EWO (Elliott Wave Oscillator)
RSI (Relative Strength Index) at different time periods (14, 4, 84, and 112)
Heikin Ashi candles
PM and PMX values calculated using pmax function
Source values derived from the high, low, open, and close prices
It applies the Heikin Ashi transformation to the input dataframe. If the strategy is running in live or dry run mode, it checks the availability of live data.
It maintains custom information for each trading pair.
In the "populate_buy_trend" function, the strategy defines buying conditions based on different offset values and indicators, including: Exponential Moving Averages (EMA) TRIMA (Triangular Moving Average) ZEMA (Zero Lag Exponential Moving Average) Hull Moving Average (HMA) Various price and indicator comparisons It checks additional conditions, such as data availability, price thresholds, maximum price conditions, RSI values, EWO values, and volume.
If the buying conditions are met, the strategy sets the "buy_copy" and "buy" columns to indicate a buying opportunity. In the "populate_sell_trend" function, the strategy does not perform any specific actions related to selling. The MultiMA_TSL3a class is a subclass of MultiMA_TSL3 and extends its functionality. It includes additional steps to populate indicators from a 15-minute informative timeframe and merges the informative pair data with the main dataframe.
It maintains custom information for each trading pair.
In the "populate_buy_trend" function, the strategy defines buying conditions based on different offset values and indicators, including: Exponential Moving Averages (EMA) TRIMA (Triangular Moving Average) ZEMA (Zero Lag Exponential Moving Average) Hull Moving Average (HMA) Various price and indicator comparisons It checks additional conditions, such as data availability, price thresholds, maximum price conditions, RSI values, EWO values, and volume.
If the buying conditions are met, the strategy sets the "buy_copy" and "buy" columns to indicate a buying opportunity. In the "populate_sell_trend" function, the strategy does not perform any specific actions related to selling. The MultiMA_TSL3a class is a subclass of MultiMA_TSL3 and extends its functionality. It includes additional steps to populate indicators from a 15-minute informative timeframe and merges the informative pair data with the main dataframe.
stoploss: -0.15 timeframe: 5m hash(sha256): c28037f8215192b27499438125bbe3f56fb54482fa1a881bf5a4910fc2effebc indicators: Smooth_HA_C basic_ub close hma_offset_buy HA_Close Smooth_HA_O pmx pump ewo rsi_fast zema_offset_buy Smooth_HA_L HA_High volume live_data_ok rsi_84 date source ema_offset_buy open trima_offset_buy buy_tag pmax_thresh high rsi_112 buy_copy buy rsi_fast_15m Smooth_HA_H HA_Open HA_Close high hma_offset_buy2 result final_ub ema_sell pm basic_lb final_lb buy_copy rsi ema_offset_buy2 runmode HA_Open low zema_offset_buy2 HA_Open HA_Close low HA_Low trima_offset_buy2 date open high low close volume
No similar strategies found. (based on used indicators)
last change: 2024-05-02 21:24:44