Every crypto signal platform claims to have AI. Almost none of them tell you which predictions were actually correct — or by how much. ArtinFox was built to fix that.
Most platforms publish unnamed aggregates. We name ours so they can be cited — with stable URLs, plain-English definitions, and structured-data markup that AI agents and search engines can read directly.
Confidence-weighted aggregate of the directional accuracy of the top-ranked external crypto analysts and research sources we track. Computed daily on a rolling 90-day window.
A second-order metric — how spread the top sources are right now. 0 means unanimous, 1 means perfectly split. We've found it leads elevated 48-hour volatility.
How honest a model's confidence is. A model that says it is 80% confident and is right 80% of the time scores 0. Most "AI signal" products are confidently wrong; we publish the gap.
Full definitions and computation details: methodology.html#named-metrics
The crypto signal space is full of noise. Telegram channels declare BUY, automated bots publish SELL — all without a single published accuracy record. You follow a signal with zero evidence it has ever been right.
Even multi-model AI platforms pick one strategy and stick to it, regardless of how it has been performing on that specific asset in recent market conditions.
ArtinFox runs 21 independent AI and quantitative models on every supported asset. Every prediction is logged at generation time. When the market resolves, each prediction is scored against the real outcome.
The models performing best on a given asset in current market conditions get promoted. Underperformers are automatically weighted down. You receive the signal that has earned its position.
From XGBoost and Neural Networks to Ichimoku Cloud and VWAP Premium — a full spectrum of ML, statistical, and technical analysis approaches running in parallel on every asset.
Bitcoin, Ethereum, Solana, and 66+ altcoins. Each asset is ranked independently — the best-performing model for BTC is not necessarily the best model for SOL.
Model accuracy rankings refresh as new market data resolves. Signals you receive today are based on verified recent performance — not backtests from years ago.
Crypto influencers, financial media, and market analysts are monitored and graded against actual outcomes. Their accuracy is scored and ranked the same way our AI models are.
Every accuracy figure is verifiable on the leaderboard. We show you the data, the model, and the scoring method. Nothing is hidden behind a vague "proprietary algorithm."
ArtinFox signals are for educational and informational purposes only. We do not promise profits. We do not guarantee accuracy. Past performance does not predict future results.
We do not sell your personal data. We do not share your identity or usage patterns with third parties for advertising. You are a subscriber, not a product.
We won't claim ArtinFox will make you rich. We won't quote cherry-picked winning streaks. We publish real accuracy numbers across full time windows, including the underperforming periods.
I built ArtinFox because I couldn’t find a signal platform I actually trusted. As an electrical engineer and optical physicist, I’m trained to build instruments that report exactly what they observe — calibrated, reproducible, and honest about their limits.
The crypto signal space felt like the opposite: impressive-sounding tools, zero verifiable output. Analysts who only show their wins. Platforms that bury their methodology behind the word “proprietary.” I built ArtinFox to show its work — every model, every prediction, every outcome scored against real data.
The platform is designed and built entirely in-house. If you have a question, a criticism, or a feature idea, I read every message.
The leaderboard is public. No account required to see exactly how every model has been performing against real market data.