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Strategy: AlligatorStrategy
Downloaded: 20220115
Stoploss: -0.99


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The AlligatorStrategy is a trading strategy implemented as a class that inherits from the IStrategy interface. It utilizes various technical analysis (TA) indicators to make buy and sell decisions based on the given DataFrame of exchange data. The strategy consists of three main methods: populate_indicators: This method calculates and adds several TA indicators to the DataFrame.

The indicators used in this strategy are: Stochastic RSI (stoch_rsi) Exponential Moving Averages (ema7, ema30, ema50, ema100, ema121, ema200) populate_buy_trend: This method populates the "buy" column in the DataFrame based on the values of the TA indicators.

The conditions for generating a buy signal are: ema7 > ema30 > ema50 > ema100 > ema121 > ema200 stoch_rsi < self.buy_stoch_rsi.value (buy_stoch_rsi is a parameter of the strategy) volume > 0 populate_sell_trend: This method populates the "sell" column in the DataFrame based on the values of the TA indicators.

The conditions for generating a sell signal are: ema121 > ema7 stoch_rsi > self.sell_stoch_rsi.value (sell_stoch_rsi is a parameter of the strategy) volume > 0 By using these indicators and their respective conditions, the strategy aims to identify potential buying and selling opportunities in the market. The buy and sell signals generated by the strategy can be used for backtesting and evaluating its performance.

startup_candle_count : 50
ema30: 0.024%
stoploss: -0.99
timeframe: 1h
hash(sha256): f8dd6abec007914957b0f39f9f0f0b79b5f0d7059f5201a93b01306a91424592
indicators:
stoch_rsi ema30 volume ema100 close
ema121 ema50 ema7 ema200

No similar strategies found. (based on used indicators)

last change: 2023-07-01 21:23:27