The "keltner" strategy is a trading strategy implemented in Python using the Freqtrade framework. Here's a short description of what the strategy does:
The strategy is designed to achieve a minimal ROI (Return on Investment) of 0.2. The stoploss is set at -0.10, meaning that if the price of an asset drops by 10%, the strategy will trigger a sell order to limit losses.
The strategy operates on 4-hour candlestick data (ticker interval).
The order types used in the strategy are "market" orders for buying, selling, and stoploss.
The time in force for orders is set to "gtc" (Good Till Cancelled) for both buy and sell orders. The strategy does not define any additional informative pair/interval combinations. The strategy uses several technical indicators from the TA-Lib library, such as EMA (Exponential Moving Average) and ATR (Average True Range). It calculates the lower and upper bands of a Keltner Channel using the EMA and ATR indicators. The buy signal is generated when the closing price crosses above the lower band of the Keltner Channel. The sell signal is generated when the closing price crosses below the upper band of the Keltner Channel. Overall, the strategy aims to identify potential buying opportunities when the price is at or below the lower band and selling opportunities when the price is at or above the upper band of the Keltner Channel.