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candle-transformer-46m – AI Model by Ashu9675 | AlphaNeural AI

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Ashu9675/
candle-transformer-46m

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Candle Transformer 46M

Custom transformer LLM for BTC/USDT trading using candlestick data.

Model Details

Parameters: 46,355,576
Architecture: 12 layers, 8 heads, 512d, 2048ff
Training: 1-year BTC data (1d + 4h + 1h = 11,315 candles)
Tokenizer: Hybrid (price bins + pattern tokens + indicator tokens)

Usage

python

from inference import CandlePredictor
predictor = CandlePredictor("Ashu9675/candle-transformer-46m/best_model.pt")
pred = predictor.predict(candles, timeframe="1h")
# Returns: signal (BUY/SELL/HOLD), confidence, probabilities, next_candle

Results

Overall accuracy: 46.7% (backtest, 30 windows)
Signal: BUY 67%, SELL 31%, HOLD 1%
Inference: ~4.5s on CPU

See benchmark_report.md for full details.