How to Read a Crypto Accuracy Scoreboard
Read this first: This is social media analysis, not financial advice. You will lose money in crypto and should not invest or trade crypto.
The scoreboard at a glance
If you’ve looked at Crypto Confluence you’ve seen the scoreboard section: a table of creators with three columns showing hit-rate over the last 7, 30, and 90 days, plus how many calls have resolved versus how many are still pending.
It looks simple. It is not simple. There are at least four ways to misread it. Here’s how to read it correctly.
Concept 1: A “call” is a falsifiable claim
Not every sentence a creator says is a call. “BTC is going to the moon” isn’t a call. “I’m bullish on ETH” isn’t a call. “Watch the 102k level” isn’t a call.
A call is a (coin, direction, target_level, time_horizon) quadruple. Example: “If we lose 102k I see 95k inside two weeks.” That has all four ingredients — an asset (BTC), a direction (down), a target ($95,000), and a horizon (two weeks). It can be checked. It will eventually be either HIT or MISS.
Gemini extracts only this kind of claim. Vibes don’t make the scoreboard. Vague predictions don’t make the scoreboard. That’s a feature, not a bug.
Concept 2: Hit-rate is a fraction with a denominator that matters
Suppose Creator A has a 30-day hit-rate of 67% (4/6 resolved). Suppose Creator B has 60% (12/20 resolved). Who’s the better caller?
Creator B. Their sample size is large enough to mean something. Creator A’s 67% is what you’d expect ~30% of the time from a 50/50 flip with 6 trials — pure noise.
Statistical rule of thumb: under 20 resolved calls, ignore the percentage. The signal is noise-dominated. The scoreboard shows pending counts on purpose — that’s the “how seriously should I take this number” axis.
Concept 3: Direction matters as much as level
Crypto creators do not get random 50/50 odds on their calls. They get whatever odds the market structure offers at the time.
In a strong uptrend, bullish calls look prophetic — most bullish targets get hit because the market is rising regardless. The relevant question isn’t “did the call hit?” but “did the call hit faster or higher than the market would have anyway?”
The scoreboard doesn’t currently adjust for market regime. We’re working on a “alpha vs. beta” decomposition for v2. For now, a creator who only ever makes bullish calls in a bull market will have an inflated score that doesn’t translate when the regime changes.
The honest read: look at hit-rate during the part of the cycle that punishes the creator’s bias. Perma-bulls who survive 90 days through a 20% drawdown are interesting. Perma-bulls in a vertical bull market are just along for the ride.
Concept 4: Time horizon eats accuracy
A creator who calls “BTC to 110k inside 7 days” and one who calls “BTC to 110k inside 6 months” are running totally different strategies. The 7-day caller is doing technical analysis on something approaching a random walk. The 6-month caller is making a macro thesis call.
If you’re trying to read the scoreboard, treat short-horizon calls (under 14 days) as fundamentally noisier than longer ones. A 60% hit-rate on short-horizon calls is unusual. A 60% hit-rate on 90+ day calls is much closer to expected given typical trend persistence in crypto.
Click into any creator’s profile and look at the actual horizon distribution before drawing conclusions.
What to do with a creator who hits 65%+ consistently
If you find one, the honest thing to do is: nothing different than before.
Three reasons:
- The market discovers them too. If their hit-rate is real, the market is going to price in their calls within a few cycles. The edge erodes.
- You can’t size correctly. Even if their calls were perfectly accurate, you’d need to size each trade against your full portfolio, manage drawdown risk, and probably stop yourself out of moves before they complete. Most retail traders can’t.
- Survivorship is a real problem. If you sort 1,000 random creators by 90-day hit-rate, the top one will look like a genius. That’s not skill, that’s just where the right tail lives.
The useful thing to do with a high-hit-rate creator isn’t to trade their calls. It’s to study what they actually look at — the indicators, the time horizons, the way they think about risk — and incorporate any of it that fits your situation.
What to do with a creator who hits 35%
Same answer: nothing dramatic.
A 35% hit-rate doesn’t mean fade them. (Tempting thought, doesn’t work — their MISSes aren’t randomly distributed, they’re concentrated in regimes where everyone gets things wrong.) It just means you should weight their specific calls less, while still potentially valuing their methodology.
Most useful crypto YouTubers — full stop — are useful for teaching frameworks, not for picking trades.
The case the scoreboard makes for being boring
Look across all 9 creators in the comparison view. After 30-90 days of data accumulates, you’ll see something striking: the hit-rate spread is going to be smaller than you’d expect. Most creators will cluster in the 40-60% range. A few outliers in either direction. Very few sustained 65%+ scores.
That’s not a failure of the creators. That’s what active calling against a noisy, semi-efficient market looks like. The honest takeaway is the boring one: most attempts to time the crypto market — even smart attempts — barely beat coin-flip odds after costs and slippage.
If that’s the actual base rate, then the rational allocation strategy for most readers is: small position size, long horizon, no leverage, no day-trading. The Aedilis Stack is exactly that for the broader portfolio.
What we’re adding next
The scoreboard is v1. Things we’re building for v2 over the next quarter:
- Alpha vs. beta decomposition — distinguishing “right because the market went up” from “right at the level they specified.”
- Confidence-weighted scoring — now live. Gemini extracts a confidence level (high / medium / low) for every call. High-confidence calls count 1.5× in the weighted score; low-confidence calls count 0.75×. The scoreboard now shows both a raw hit-rate and a weighted score. A creator who hedges every call as “low confidence” will score lower on the weighted metric even if their raw hit-rate looks decent.
- Per-asset scoreboards — a creator may be great at BTC and terrible at altcoins. The current aggregate hides that.
- Quarterly methodology audits — we’ll publish what changed and why.
Concept 5: What the trade setup cards tell you
Beyond the scoreboard table, each creator profile page now shows structured trade setup cards for every call. Here’s how to read one.
Timeframe badge. Every card has a Scalp (purple), Swing (blue), or Macro (teal) badge. This comes from the number of days the creator implied — 1–3 days is scalp, 4–30 is swing, 31+ is macro. If a creator said “by end of year,” Gemini will set this to Macro. If they said “this week,” it’s Scalp. If unclear, we default to Swing (14 days).
Entry zone, stop, target. When a creator gives a specific entry range (“I’d buy between 101k and 103k”), a stop (“if we lose 98k the thesis is broken”), and a target (“I see 112k”), all three appear on the card with percentage moves from the entry midpoint. A card showing Entry $102k / Stop $98k (-3.9%) / Target $112k (+9.8%) gives you R:R immediately — in this case, roughly 1:2.5.
Not all cards are complete. Many creators name a target but not a stop. The entry zone is often implied (“at current price”) rather than stated. Cards with partial information are normal — it reflects what the creator actually said, not a data gap.
Active vs. resolved calls. Pending calls (still within the time horizon) appear first on the creator profile. Resolved calls (HIT or MISS) are below, with the outcome and the price at resolution shown.
The verbatim quote. Every card ends with a short quote from the transcript. This is your sanity check. If the quote doesn’t support the direction and level on the card, treat the extraction with skepticism and go watch the source video.
— Marcus Webb
Reminder: This is social media analysis, not financial advice. We have no idea what your financial situation is, and have no business giving you financial advice. You will lose money in crypto, and should not invest or trade crypto.
