How accurate is the analysis?
The confidence score reflects structural clarity, not a guarantee of profit. A high score means the chart structure supports the idea; markets are uncertain and any setup can lose. Use it as one input alongside your own judgement and risk management — never as a substitute for it.
Why did my clean-looking setup only score in the 50s or 60s?
The score is a genuine sum of weighted factors — structure alignment, risk:reward, volume, multi-timeframe confirmation — not inflated by default. A setup missing a genuine second-timeframe confirmation, showing internal conflict between factors, or with a marginal risk:reward will score lower even if it looks clean at a glance. The scoring breakdown under each result shows exactly which factors added or subtracted points.
Does a high confidence score mean I should take the trade?
No. It means the AI’s structural read is internally consistent and well-supported by what it can see in the chart. It has no knowledge of your account size, risk tolerance, other open positions, or news events outside the image. Confidence is about clarity of structure, not a recommendation.
Is there a public track record I can check?
Yes — the Daily Call posts one real, timestamped market call every day, and grades the outcome the same day. Nothing is deleted or hidden, win or lose. It’s the most honest way to see how the underlying analysis actually performs over time, and no login is required to view it.
Can the AI be wrong?
Yes, and this is stated plainly rather than downplayed. AI output is probabilistic and can misread a chart, miss context, or produce an incorrect level. Always verify levels against your own charts before acting on any analysis.
Is a 90+ confidence score more reliable than a 65?
Generally, yes — confidence is a straight sum of how many structural factors align, so a 90+ means more factors agreed (break of structure, fair value gap, liquidity sweep, multi-timeframe confirmation, clean risk:reward) than a 65 does. But it’s not a probability of winning: a 65 with genuinely clean structure can still work out, and a 90 can still lose. Treat the score as “how much of the structural picture agrees,” not “how likely this is to profit.”
Why did the confidence score change when I re-scanned the same setup?
Scan Mode reads the chart fresh every time rather than caching a stale result, so new price action between scans can add or remove structural factors — a fair value gap gets filled, a new swing point forms, a liquidity level gets swept. If you scan the same ticker twice at different timeframes close together, the two reads are compared directly and any disagreement is flagged rather than hidden.
How do you avoid hindsight bias when grading past calls?
Every call — Daily Call, Scan History outcomes, Paper Portfolio — is timestamped and locked at the moment it’s made, before the outcome is known, then graded afterward against what actually happened. Internally, models are validated the same way: out-of-fold testing (checking a result only against data the model didn’t see while fitting) and minimum-sample gates before any statistic is shown at all, so a handful of lucky trades can’t get dressed up as a real pattern.
What market conditions typically produce a lower confidence score?
Choppy, range-bound price action with no clear break of structure; a single-timeframe scan with no second timeframe to confirm it; conflicting signals (say, a bullish structure break paired with weak risk:reward); or a setup already extended far past any clean invalidation point. The score is reporting less structural agreement, not being cautious for its own sake.
How are the stop loss and target levels determined?
From the chart’s own structure, not a fixed percentage or dollar distance — the stop sits beyond the level that would actually invalidate the setup (a swing point, liquidity level, or structural break), and targets are drawn from the next meaningful structural levels price would need to clear. That’s also why risk:reward varies setup to setup instead of always landing on a round number.
Can I see how predictions performed over time, not just today?
The Daily Call keeps a full public history — every call ever made, graded, nothing deleted, no login required to check it. Your own Scan History does the same for your personal scans, with outcome tracking against real price data. Track records for newer, feature-specific tools are being built the same way — held back from public display until there’s enough graded history for the numbers to actually mean something, rather than publishing thin or cherry-picked stats.