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Strategy: tesla7
Downloaded: 20220117
Stoploss: -0.15


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The "tesla7" strategy is a trading strategy implemented in Python. It uses various technical indicators to generate buy and sell signals for trading. Here's a breakdown of what the strategy does: populate_indicators: This method calculates and populates several indicators using the input dataframe, such as exponential moving averages (EMAs), Hull moving average (HMA), simple moving average (SMA), Bollinger Bands, volume-related indicators, and relative strength index (RSI).

populate_buy_trend: This method determines the conditions for buying based on the populated indicators.

It sets the 'buy' signal when specific conditions are met, such as volume base, RSI, close price, EWO (Elliott Wave Oscillator), and moving averages.

populate_sell_trend: This method determines the conditions for selling based on the populated indicators. It sets the 'sell' signal when specific conditions are met, such as close price, RSI, and moving averages. The strategy combines multiple indicators and their respective thresholds to generate buy and sell signals. The specific conditions and thresholds used in the strategy are defined within the method.

startup_candle_count : 168
hma_50: 0.002%
ema_100: 0.077%
ema_slow: -0.002%
rsi_slow: 0.001%
Unable to parse Traceback (Logfile Exceeded Limit)
stoploss: -0.15
timeframe: 5m
hash(sha256): 645ad6354acc2005cbdf30d7172157289247dd3b5ae5f28cb86b82d14b1764cf
indicators:
rsi_buy upper EWO vol_7_min ewo_high
roi close high_offset_2 ewo_low tail
ewo_high_2 roll_7 vol_ma_26 sell_signal bb_lowerband
bbdelta rsi_fast ma_sell_val vol_base ma_buy_val
volume low_offset closedelta high_offset low_offset_2
volume_mean_slow vol_14_min base_nb_candles_buy vol_ma_200 mid
zlema2 vol_7_max base_nb_candles_sell hma_50 buy
buy_tag sma_9 ema_100 vol_14_max lower
rsi_slow bb_middleband rsi ema_10 bb_upperband
ema_slow low

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last change: 2024-09-30 14:16:17