Guacamole

The Guacamole strategy is a trading strategy that utilizes various indicators and conditions to generate buy and sell signals. Here is a breakdown of what the strategy does: populate_indicators: This method populates the dataframe with several indicators such as SAR (Stop and Reverse), RMI (Relative Momentum Index), KAMA (Kaufman Adaptive Moving Average), and MACD (Moving Average Convergence Divergence). It also calculates the moving average of the volume.

populate_buy_trend: This method generates buy signals based on a set of conditions.

If there is no active trade, the conditions include comparing the KAMA-3 value to KAMA-21 value, MACD value to MACD signal, MACD value to a parameter, MACD histogram value to a parameter, RMI value to the previous RMI value, and volume to a multiple of the volume moving average.

If there is an active trade, the conditions include the close price being greater than SAR value and RMI value being greater than or equal to 75. populate_sell_trend: This method generates sell signals based on a set of conditions. If there is an active trade, the conditions include RMI value being less than 30, current profit being greater than -0.03, and volume being greater than 0. The code snippets following the populate_sell_trend method seem to define additional conditions for determining when to sell or not, based on the current price and order information. However, it's not clear how these snippets fit into the overall strategy implementation. The commented section at the end seems to provide some logic for determining whether to continue or exit a trade based on the minimum return on investment (ROI) reached. However, the commented code itself is incomplete, so it's difficult to understand its exact functionality. Overall, the Guacamole strategy combines different indicators and conditions to generate buy and sell signals for trading.