Not Enough Data to display!
Average Overall
| Not Enough Data! / Avg statistics not populated yet. |
|---|
The NostalgiaForInfinityX2 strategy is a backtesting strategy designed for trading. Here is a brief description of what the strategy does:
The strategy first populates informative indicators related to BTC (Bitcoin) on various timeframes, such as daily, 4-hour, 1-hour, 15-minute, and 5-minute intervals. These indicators provide additional information about Bitcoin's performance.
Next, it populates indicators on informative timeframes.
These indicators are based on the metadata provided and are merged with the current timeframe using forward filling.
After that, the strategy calculates indicators for the base timeframe, which is set to 5 minutes. These indicators are specific to the base timeframe. In the populate_buy_trend function, the strategy sets conditions for buying based on various parameters. It checks if the RSI (Relative Strength Index) is below 30.0 and if the volume is greater than zero. If these conditions are met, the strategy marks the corresponding data points for buying. In the populate_sell_trend function, the strategy does not apply any specific conditions for selling. The sell column in the dataframe is set to 0, indicating no sell signal. Finally, the strategy implements a time_in_force function to determine if a buy order should be executed based on the provided rate and the last closing price in the dataframe. It calculates slippage and compares it to a threshold (0.038) to decide whether to proceed with the buy order. Additionally, there are some helper functions and calculations, such as conditions for generating signals based on the sequence of row data, and the calculation of the Chaikin Money Flow (CMF) indicator. Overall, the NostalgiaForInfinityX2 strategy combines various indicators and conditions to generate buy signals for trading, while not providing specific sell signals.
Next, it populates indicators on informative timeframes.
These indicators are based on the metadata provided and are merged with the current timeframe using forward filling.
After that, the strategy calculates indicators for the base timeframe, which is set to 5 minutes. These indicators are specific to the base timeframe. In the populate_buy_trend function, the strategy sets conditions for buying based on various parameters. It checks if the RSI (Relative Strength Index) is below 30.0 and if the volume is greater than zero. If these conditions are met, the strategy marks the corresponding data points for buying. In the populate_sell_trend function, the strategy does not apply any specific conditions for selling. The sell column in the dataframe is set to 0, indicating no sell signal. Finally, the strategy implements a time_in_force function to determine if a buy order should be executed based on the provided rate and the last closing price in the dataframe. It calculates slippage and compares it to a threshold (0.038) to decide whether to proceed with the buy order. Additionally, there are some helper functions and calculations, such as conditions for generating signals based on the sequence of row data, and the calculation of the Chaikin Money Flow (CMF) indicator. Overall, the NostalgiaForInfinityX2 strategy combines various indicators and conditions to generate buy signals for trading, while not providing specific sell signals.
Biased Exit Signals:
20
stoploss: -0.99 timeframe: 5m hash(sha256): b77e49e1672e1c5f58f1892f3fa1fb53b5a9f777bb9004f917133797119d5f24 indicators: bt_agefilter_ok high open close close_s close high_s low_s btc_info_ USDTBUSDUSDCDAITUSDPAXUSDEURGBP xe5 volume live_data_ok xe1 open 5m15m1h4h1d xe4 open_s rsi_14 high low_s open_s close_s low open close 15m1h4h1d not_downtrend xe6 openclosehighlow xe2 stake_currency T3Average high_s open_s close_s runmode low xe3 date open high low close volume
Similar Strategies: (based on used indicators)
Strategy: NostalgiaForInfinityX2, Similarity Score: 97.83%
Strategy: NostalgiaForInfinityX2_234, Similarity Score: 97.83%
Strategy: NostalgiaForInfinityX2_92, Similarity Score: 97.83%
Strategy: NostalgiaForInfinityX2_226, Similarity Score: 89.13%
Strategy: NostalgiaForInfinityX2_5, Similarity Score: 86.96%
Strategy: NostalgiaForInfinityX2_6, Similarity Score: 86.96%
Strategy: NostalgiaForInfinityX2_7, Similarity Score: 86.96%
Strategy: NostalgiaForInfinityX2_237, Similarity Score: 84.78%
Strategy: NostalgiaForInfinityX2_238, Similarity Score: 84.78%
Strategy: NostalgiaForInfinityX2_8, Similarity Score: 84.78%
Strategy: NostalgiaForInfinityX2_9, Similarity Score: 84.78%
Strategy: NostalgiaForInfinityX2_2, Similarity Score: 82.61%
Strategy: NostalgiaForInfinityX2_3, Similarity Score: 82.61%
Strategy: NostalgiaForInfinityX2_4, Similarity Score: 82.61%
last change: 2023-07-05 06:56:08