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Strategy: TEMA
Downloaded: 20220113
Stoploss: -0.1


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The TEMA (Triple Exponential Moving Average) strategy is a trading strategy that uses various technical indicators to generate buy and sell signals. The strategy calculates and adds several indicators to the given dataset, including ADX (Average Directional Index), RSI (Relative Strength Index), Stochastic Fast, MACD (Moving Average Convergence Divergence), MFI (Money Flow Index), Bollinger Bands, SAR (Stop and Reverse), TEMA, and HT_SINE. The populate_indicators function takes a dataframe of exchange data and adds these indicators as columns to the dataframe.

The populate_buy_trend function populates the buy signal column in the dataframe based on the indicators.

It looks for conditions such as the TEMA being below the Bollinger Bands' middle band, the TEMA value increasing compared to the previous period, and non-zero volume.

The populate_sell_trend function populates the sell signal column in the dataframe based on similar conditions but with the TEMA above the Bollinger Bands' middle band and the TEMA value decreasing compared to the previous period. These functions assist in backtesting trading strategies by providing buy and sell signals based on the technical indicators.

stoploss: -0.1
timeframe: 1m
hash(sha256): 59e0f6c50d86dbaabee59573d940d2005aa2e59a7198cd48dc95cea9d558a7b8
indicators:
upper htsine tema asks close
mfi bb_lowerband bb_percent macdhist fastk
htleadsine leadsine volume fastd best_ask
sar bids macdsignal mid bb_width
macd best_bid adx lower bb_middleband
rsi bb_upperband sine

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last change: 2023-07-05 05:37:55