The Cenderawasih_1b strategy is a trading strategy that utilizes various indicators to determine buying and selling opportunities. Here is a breakdown of its key components:
populate_indicators: This function calculates and adds several indicators to the dataframe, including RSI (Relative Strength Index), SQZMI, and offsets based on HMA (Hull Moving Average) and EMA (Exponential Moving Average). It also checks for live data availability and calculates a volatility condition.
populate_buy_trend: In this function, the strategy determines the conditions for buying based on the populated indicators and parameters.
It checks for various conditions such as live data availability, age filter, volatility, price below EMA offsets, low volume, absence of SQZMI, and low RSI values.
If these conditions are met, the "buy" column is set to 1. populate_sell_trend: This function determines the conditions for selling based on the populated indicators and parameters. It checks for conditions such as price crossing above HMA offset, price crossing below EMA offsets, and volume criteria. If any of these conditions are met, the "sell" column is set to 1. The strategy uses a combination of technical indicators and conditions to identify potential buying and selling opportunities in the market.