Strategy: bblower
Downloaded: 20220215
Stoploss: -0.139

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The BBlower strategy is a backtesting strategy that uses several technical indicators to generate buy and sell signals for trading. Here is a breakdown of what the strategy does: In the populate_indicators function, the strategy adds the following technical indicators to the given DataFrame: CMO (Chande Momentum Oscillator) with a time period of 25 RSI (Relative Strength Index) with a time period of 25 TEMA (Triple Exponential Moving Average) with a time period of 50 Bollinger Bands with different standard deviation values (1.0, 2.0, 3.0, 4.0) and a time period of 25 In the populate_buy_trend function, the strategy populates the buy signal based on the following conditions: RSI is increasing over the past four periods RSI is below 50 The TEMA indicator crosses above the lower Bollinger Band with a standard deviation of 1.0 The populate_sell_trend function is not fully implemented and requires additional conditions to populate the sell signal. Overall, the BBlower strategy aims to identify potential buying opportunities based on the increasing RSI, the RSI being below 50, and the TEMA indicator crossing above the lower Bollinger Band.

The sell conditions are not specified in the provided code.

stoploss: -0.139
timeframe: 5m
hash(sha256): ef24be71cd83d2dede30f20e2bfd257b89ebb46a1ea97b1321245427ee66de5a
lowerband middleband bb_lowerbandTA4 bb_middlebandTA3 bb_upperbandTA4
bb_lowerbandTA2 bb_upperbandTA2 CMO upperband bb_upperbandTA3
bb_lowerbandTA1 bb_middlebandTA1 TEMA bb_lowerbandTA3 stake_currency
bb_middlebandTA4 RSI bb_middlebandTA2 bb_upperbandTA1

Similar Strategies: (based on used indicators)

Strategy: tema_pure_two, Similarity Score: 90%

last change: 2023-06-24 10:32:24