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The sma strategy is a trading strategy implemented in the Freqtrade bot. It uses a combination of Simple Moving Averages (SMA) and other technical indicators to generate buy and sell signals. Here is a brief description of how the strategy works:
Minimal ROI: The strategy does not specify a specific minimal return on investment (ROI) target.
Stoploss: The strategy uses a fixed stoploss value of -0.10, indicating a 10% loss threshold.
Ticker interval: The strategy operates on 1-hour candlestick data.
Order types: All orders (buy, sell, stoploss) are executed as market orders. Order time in force: The orders are set as Good 'Til Cancelled (gtc). Informative pairs: The strategy does not define any additional informative pair/interval combinations. Indicators: The strategy calculates the Exponential Moving Average (EMA) with time periods of 10 and 20, as well as the Simple Moving Average (SMA) with time periods of 50 and 200. Buy condition: The strategy defines a buy condition based on the percentage change between the close price and the low price, where the percentage change is greater than 0.01 (1%). Sell condition: The strategy defines a sell condition based on the percentage change between the high price and the close price, where the percentage change is greater than 0.01 (1%). Populate buy trend: The strategy generates a buy signal when the close price crosses above the 200-day SMA and the buy condition is met. Populate sell trend: The strategy generates a sell signal when the close price crosses below the 50-day SMA and the sell condition is met. Overall, the sma strategy aims to capture potential trends by identifying buy and sell signals based on moving average crossovers and specific price percentage changes.
Stoploss: The strategy uses a fixed stoploss value of -0.10, indicating a 10% loss threshold.
Ticker interval: The strategy operates on 1-hour candlestick data.
Order types: All orders (buy, sell, stoploss) are executed as market orders. Order time in force: The orders are set as Good 'Til Cancelled (gtc). Informative pairs: The strategy does not define any additional informative pair/interval combinations. Indicators: The strategy calculates the Exponential Moving Average (EMA) with time periods of 10 and 20, as well as the Simple Moving Average (SMA) with time periods of 50 and 200. Buy condition: The strategy defines a buy condition based on the percentage change between the close price and the low price, where the percentage change is greater than 0.01 (1%). Sell condition: The strategy defines a sell condition based on the percentage change between the high price and the close price, where the percentage change is greater than 0.01 (1%). Populate buy trend: The strategy generates a buy signal when the close price crosses above the 200-day SMA and the buy condition is met. Populate sell trend: The strategy generates a sell signal when the close price crosses below the 50-day SMA and the sell condition is met. Overall, the sma strategy aims to capture potential trends by identifying buy and sell signals based on moving average crossovers and specific price percentage changes.
startup_candle_count : 50 ema20: -0.005%
stoploss: -0.1 timeframe: 1h hash(sha256): 5c3663739d46594d4d9caad17ed0360c0d15084347064a523aca53dba6f10a2d indicators: high sell_condition sma50 ema20 close buy_condition low ema10 sma200
No similar strategies found. (based on used indicators)
last change: 2023-07-05 05:39:20