Hi everyone,
I’ve developed a deep learning AI model designed to predict BTC's price movement over the next 24 hours on the 15-minute timeframe.
It’s important to note that this model does not directly provide exact entry points for trades. Instead, it indicates the likely direction of the market, meaning you’ll still need basic trading knowledge to apply it effectively.
After testing it over the course of one month, I achieved a success rate of around 90% in my trades when using the model as part of my strategy.
The model was trained using the following features:
Time-related: Hour, DayOfWeek
Price & volume lags: Close_lag_1, Close_lag_2, Close_lag_4, Close_lag_8, Close_lag_12, Volume_lag_1, Volume_lag_2, Volume_lag_4, Volume_lag_8, Volume_lag_12
Moving averages & statistics: MA_4, Std_4, Dist_MA_4, MA_16, Std_16, Dist_MA_16, MA_48, Std_48, Dist_MA_48, MA_96, Std_96, Dist_MA_96
Technical indicators: Return_log, MACD, RSI
Hourly Forecast for the Next 24 Hours
2025-09-22 16:00:00+00:00 112868.108911
2025-09-22 17:00:00+00:00 112757.054106
2025-09-22 18:00:00+00:00 112557.937320
2025-09-22 19:00:00+00:00 112373.151712
2025-09-22 20:00:00+00:00 112210.080137
2025-09-22 21:00:00+00:00 112064.107080
2025-09-22 22:00:00+00:00 111933.244060
2025-09-22 23:00:00+00:00 111814.787805
2025-09-23 00:00:00+00:00 111705.927459
2025-09-23 01:00:00+00:00 111607.475843
2025-09-23 02:00:00+00:00 111524.840873
2025-09-23 03:00:00+00:00 111437.635095
2025-09-23 04:00:00+00:00 111343.749129
2025-09-23 05:00:00+00:00 111246.298540
2025-09-23 06:00:00+00:00 111147.683271
2025-09-23 07:00:00+00:00 111049.586709
2025-09-23 08:00:00+00:00 110950.490318
2025-09-23 09:00:00+00:00 110849.816470
2025-09-23 10:00:00+00:00 110747.656416
2025-09-23 11:00:00+00:00 110644.007192
2025-09-23 12:00:00+00:00 110539.209243
2025-09-23 13:00:00+00:00 110433.590563
2025-09-23 14:00:00+00:00 110327.417880
2025-09-23 15:00:00+00:00 110221.241699
2025-09-23 16:00:00+00:00 110115.552154
I’ve developed a deep learning AI model designed to predict BTC's price movement over the next 24 hours on the 15-minute timeframe.
It’s important to note that this model does not directly provide exact entry points for trades. Instead, it indicates the likely direction of the market, meaning you’ll still need basic trading knowledge to apply it effectively.
After testing it over the course of one month, I achieved a success rate of around 90% in my trades when using the model as part of my strategy.
The model was trained using the following features:
Time-related: Hour, DayOfWeek
Price & volume lags: Close_lag_1, Close_lag_2, Close_lag_4, Close_lag_8, Close_lag_12, Volume_lag_1, Volume_lag_2, Volume_lag_4, Volume_lag_8, Volume_lag_12
Moving averages & statistics: MA_4, Std_4, Dist_MA_4, MA_16, Std_16, Dist_MA_16, MA_48, Std_48, Dist_MA_48, MA_96, Std_96, Dist_MA_96
Technical indicators: Return_log, MACD, RSI
Hourly Forecast for the Next 24 Hours
2025-09-22 16:00:00+00:00 112868.108911
2025-09-22 17:00:00+00:00 112757.054106
2025-09-22 18:00:00+00:00 112557.937320
2025-09-22 19:00:00+00:00 112373.151712
2025-09-22 20:00:00+00:00 112210.080137
2025-09-22 21:00:00+00:00 112064.107080
2025-09-22 22:00:00+00:00 111933.244060
2025-09-22 23:00:00+00:00 111814.787805
2025-09-23 00:00:00+00:00 111705.927459
2025-09-23 01:00:00+00:00 111607.475843
2025-09-23 02:00:00+00:00 111524.840873
2025-09-23 03:00:00+00:00 111437.635095
2025-09-23 04:00:00+00:00 111343.749129
2025-09-23 05:00:00+00:00 111246.298540
2025-09-23 06:00:00+00:00 111147.683271
2025-09-23 07:00:00+00:00 111049.586709
2025-09-23 08:00:00+00:00 110950.490318
2025-09-23 09:00:00+00:00 110849.816470
2025-09-23 10:00:00+00:00 110747.656416
2025-09-23 11:00:00+00:00 110644.007192
2025-09-23 12:00:00+00:00 110539.209243
2025-09-23 13:00:00+00:00 110433.590563
2025-09-23 14:00:00+00:00 110327.417880
2025-09-23 15:00:00+00:00 110221.241699
2025-09-23 16:00:00+00:00 110115.552154
Disclaimer
The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.
Disclaimer
The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.