RETRAINING 5 MODELS...
HEXA-CORE AI
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STATUS: CONNECTING
Monte Carlo
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Random Forest
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KAN (v2.0)
Splines
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Neural Trend
Network
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SimDiff DiT
Diffusion
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HaKAN
Hahn Poly
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Main Consensus:
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SimDiff Consensus:
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HaKAN Consensus:
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Main CSV SimDiff CSV HaKAN CSV

DISCLAIMER:

This is a test page only and does not constitute investment advice. Trading Bitcoin involves significant risk. Every user buys and sells at their own risk. It is possible to lose your entire capital in this market. This site serves solely for testing AI models, Monte Carlo systems, and Random Forest algorithms. Trading cryptocurrencies involves a high degree of risk and is not suitable for all investors. This tool is for educational purposes only and uses simulated paper trading. Past performance is not indicative of future results.



System Logic Explained

All percentage values represent the probability of an UPWARD trend.
0% = Strong Sell, 100% = Strong Buy.

Multiplier (x-1) indicates a contra-trade strategy (Betting against the consensus).
Multiplier (x+1) indicates following the trend.



Simulation Technical Notes

Each of the three curves displayed in the bottom chart represents a purely hypothetical, virtual balance value. These simulations do not account for transaction costs, specifically:
1. Opening and closing position commissions.
2. Market order spreads (slippage).
3. Funding rates for position holding on CEX/DEX platforms.

These variables were intentionally excluded to prevent data noise, which is critical for future R&D focused on training a meta-layer model based on cumulative curve optimization or inter-curve spread analysis.


Source code, model architecture, pretrained models, training methods & hyperparameters

Git Hub