The NostalgiaForInfinityNext strategy is a trading strategy that involves backtesting and analyzing various indicators to make buying decisions in the market. Here is a breakdown of what the strategy does:
Populating Indicators:
The strategy retrieves BTC (Bitcoin) data on different timeframes (5 minutes and 1 hour) and calculates indicators specific to those timeframes. The indicators from the BTC data are merged with the main dataframe used for backtesting.
Informative timeframes and resampled timeframes are also considered, and their respective indicators are merged into the main dataframe.
Populating Buy Trend:
Conditions and buy protection measures are defined to determine when to buy.
The strategy considers various parameters such as moving averages (EMA and SMA), close price relative to moving averages, safe dips, safe pump periods, BTC trend, volume, RSI (Relative Strength Index), MFI (Money Flow Index), and CTI (Composite Trading Index). Multiple buy conditions are defined based on the parameters mentioned above. The buy conditions are applied to the dataframe, and the corresponding buy_condition columns are updated. The strategy uses a combination of indicators and buy conditions to identify potential buying opportunities in the market.