The strategy "NostalgiaForInfinityV7_SMA" is a backtesting strategy that uses various indicators to generate buy signals for trading. Here is a short description of what the strategy does:
The strategy first populates indicators using the input dataframe and metadata. It merges informative data from a higher timeframe (1 hour) into the current timeframe, filling any missing values.
It also calculates indicators for the current timeframe.
Next, the strategy defines the conditions for generating buy signals.
The conditions include:
RSI Slow Descending: The rolling sum of the 'rsi_slow_descending' indicator is equal to 1. RSI Fast: The 'rsi_fast' indicator is less than 35. Uptrend in 1 hour timeframe: The 'uptrend_1h' indicator is greater than 0. Close below Lower Moving Average: The 'close' price is below the 'ma_lower' indicator. Open above Lower Moving Average: The 'open' price is above the 'ma_lower' indicator. Volume: The trading volume is greater than 0. EMA Fast Condition: The 'open' and 'low' prices are either both above or both below the 'ema_fast_1h' indicator. Buy Protections: Additional buy protections are defined based on various indicators, such as EMAs, SMAs, and safe dips/pump conditions. The buy signals are generated based on the logical conjunction (AND) of these conditions. The strategy uses different buy conditions (buy_01, buy_02, buy_03) with their respective protections and logic. After defining the buy signals, the strategy assigns the buy triggers to the dataframe using the 'buy_01_trigger', 'buy_02_trigger', and 'buy_03_trigger' columns. This strategy allows for flexibility in defining buy conditions and protections based on different indicators and their parameter settings.