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Strategy: TenderEnter
Downloaded: 20220112
Stoploss: -0.4


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The strategy, called "TenderEnter," is designed to backtest trading strategies. It consists of three main functions: populate_indicators, populate_buy_trend, and populate_sell_trend. The populate_indicators function adds various technical analysis (TA) indicators to the provided DataFrame.

It is recommended to be frugal in selecting the number of indicators to optimize memory and CPU usage.

The populate_buy_trend function populates the buy signal based on the TA indicators and specific conditions.

It checks for certain criteria such as the closing price and volume of the asset over specific time intervals. If the conditions are met, the buy column of the DataFrame is set to 1. The populate_sell_trend function populates the sell signal based on the TA indicators and conditions. It ensures that the volume of the asset is not zero and sets the sell column of the DataFrame to 0. Overall, the strategy aims to analyze the provided DataFrame using TA indicators and generate buy and sell signals based on specific conditions.

startup_candle_count : 102
Recursive Analysis found no issues while using 102 startup_candle_count
stoploss: -0.4
timeframe: 15m
hash(sha256): bca514ac405aa93a7b2267ed32532bb75e2cbb759537ca61adfb34cba0d8c1db
indicators:
upper CDLDRAGONFLYDOJI CDLGRAVESTONEDOJI close CDLSPINNINGTOP
bb_lowerband bb_percent CDL3WHITESOLDIERS kc_middleband volume
sma10 high fisher_rsi_norma cci ha_high
adx aroonosc ema50 minus_dm plus_dm
CDLHANGINGMAN aroondown CDLEVENINGDOJISTAR plus_di ha_open
slowk macdsignal fastk_rsi minus_di roc
lower rsi sma3 sine kc_percent
wbb_upperband htsine tema wbb_lowerband uo
mfi ema5 kc_width macdhist CDLHAMMER
htleadsine CDLEVENINGSTAR sma100 ema10 sar
wbb_width CDL3OUTSIDE mid fisher_rsi sma50
bb_

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last change: 2023-08-02 13:56:59