Signal Accuracy Report
Air Radar tracks 5,198 signals with 66.9% directional accuracy. Quality scores vary by asset class, ensuring transparent performance evaluation.
Why It Matters
Clear accuracy framing improves trust and answers the question traders always ask first: does this actually work under real market conditions?
Strategic Takeaway
Explicit methodology separates partial wins, clean wins, and failures, preventing misleading marketing claims. Tracks by asset class and regime for precision.
Current Read
Current snapshot shows 31 assets: 6 bullish, 8 bearish, 17 neutral. Crypto leads with 6 neutral signals; stocks and ETFs show mixed bias.
Key Data Points
Resolved Performance
By Asset Type
Recent Resolved Signals
Read This Correctly
This report is a rolling quality-control view of completed seven-day reviews. It is not a promise of future performance, and it should be read alongside current market regime and setup quality.
Live Signal Snapshot
Highest-Conviction Longs
Highest-Conviction Shorts
Asset-Class Balance
Methodology
- 1Define signal direction, time horizon, and invalidation level before outcome review.
- 2Separate partial wins, clean wins, failed setups, and invalidated conditions.
- 3Track by asset class and market regime rather than relying on one blended percentage.
- 4Publish methodology clearly so the metric cannot be mistaken for a marketing-only number.