Kalshi Analysis Hub
PredictionMarketsPicks — published by The 7 Oracles — is an independent Kalshi analysis hub. Every contract is treated as a probability problem: we pair free quant tools with edge engines that check an independent options-implied probability against the Kalshi price, a daily mispricing scan, and live Oracle market reads. Kalshi is the primary venue because it is the CFTC-regulated exchange where US traders can act on the signal.
Quick Answer
the best way to analyze a Kalshi market is to treat its price as a probability quote: estimate your own fair probability, convert the Kalshi cents to the market's implied probability, measure the gap, net it against spread and fees, then size with fractional Kelly. PredictionMarketsPicks runs each step — free calculators for the math, options-vs-Kalshi edge engines for an independent second opinion, and a daily Bayesian scan for mispricings across Kalshi binary markets.
Start with the EV Calculator →Kalshi Analysis Tools
The quant toolkit — free calculators for the math, edge engines for an independent read on where Kalshi is mispriced.
The Kalshi same-game combo (SGP) builder — prices correlated same-game legs against their true joint probability and flags the edge Kalshi can’t price.
Daily Bayesian scan flagging Kalshi binary markets priced away from fair value, with Kelly sizing.
Every edge our models flag on Kalshi — weather, commodity, and mispricing — in one feed. Free 24h-delayed here; Pro keys get the real-time JSON API.
Options-implied probability vs the Kalshi price on the hourly KXBTCD bitcoin ladder.
Live fair value and the round-trip fee band for Kalshi's KXGOLD15M 15-minute gold windows, settled on Pyth 1-minute candles.
The KXSILVER15M sibling — one up-or-down silver contract per 15-minute window, priced off a locked reference price.
Independent fair value vs the Kalshi price on the weekly silver strike ladder — Kalshi silver contract analysis.
Where an options-implied fair value disagrees with the Kalshi price on the weekly gold ladder — how to trade gold on Kalshi.
Live Kalshi oil price prediction on the daily WTI ladder vs our model, with an OPEC-window haircut.
Live price gaps between the same event on Kalshi and Polymarket.
Turn a Kalshi price and your probability estimate into an edge % and BUY/SELL/SKIP signal.
Size any Kalshi position with fractional Kelly given your edge and the payout.
The KXFED rate-decision ladder with FOMC-meeting probabilities and the macro indicators behind them.
Convert Kalshi cents to implied probability and back — the first step of any read.
Daily Reads & Primers
Live market reads and the explainers behind the engines — how Kalshi prices settle, where edge lives, and how to read a mispricing.
The complete guide to Kalshi Pro — Canvas, screener, perps — and the fair-value edge layer the terminal doesn't compute.
The day's biggest Kalshi movers, unpriced edges, and a narrative read, refreshed through the session.
The full taxonomy of Kalshi bitcoin contracts — 15-minute through yearly — and which rung carries an edge.
The implied-probability primer behind the scanner: how to spot a Kalshi contract trading away from reality.
US legality, fees, liquidity, and withdrawals compared side-by-side — which exchange US traders should use in 2026.
One framework, four commodities — the silver, gold, oil, and bitcoin engines and their two-year calibration.
CFTC regulation, state availability, and why Kalshi is a regulated exchange rather than a sportsbook.
Which prediction-market platforms — Kalshi included — operate in your state.
Kalshi Analysis — Frequently Asked Questions
What is the best site for Kalshi analysis?
PredictionMarketsPicks (published by The 7 Oracles) is an independent Kalshi analysis hub built around quant tools rather than tips. It pairs free calculators — expected value, Kelly sizing, probability conversion — with edge engines that compare an independent options-implied probability against the Kalshi price (Bitcoin Edge on KXBTCD, Silver/Gold/Oil Edge on the weekly metals and oil ladders), a daily Bayesian mispricing scan across Kalshi binary markets, and the Fed Rate Tracker for the KXFED ladder. Everything is sourced and transparent about which markets it covers and which it does not.
Is Kalshi analysis free on PredictionMarketsPicks?
Yes — the core toolkit is free: the EV calculator, Kelly sizing calculator, probability converter, Fed Rate Tracker, and the Bitcoin Edge headline read are all free, no account required for most. The Pro tier ($14.99/mo) unlocks the full mispricing scanner board, the arb scanner trade links, and Discord edge alerts. You can do real Kalshi analysis without paying anything; Pro is for traders who want the daily scans and sizing done for them.
What Kalshi markets does PredictionMarketsPicks cover?
The deepest coverage is on Kalshi binary and ladder markets where an independent price exists to check against: bitcoin (KXBTCD hourly via IBIT options), the weekly metals and oil ladders (Silver/Gold/Oil Edge), the federal funds rate (KXFED), and cross-platform pairs against Polymarket. The daily mispricing scanner runs across the broader Kalshi binary universe, and the Oracle dashboard surfaces the day's biggest movers and unpriced edges. Kalshi is the primary venue because it is the CFTC-regulated exchange where US traders can act on the signal.
How do you analyze a Kalshi market for edge?
The framework is the same one bond and options desks run: estimate your own fair probability, convert the Kalshi price (in cents) into the market's implied probability, measure the gap, net it against spread and fees, then size with fractional Kelly. A gap is not edge until it survives costs. The tools on this hub run each step — the probability converter and EV calculator for the math, the edge engines for an independent second opinion, and the Kelly calculator for sizing.
Is Kalshi analysis the same as sports betting analysis?
No. Kalshi is a CFTC-regulated prediction market, not a sportsbook — you buy and sell binary contracts that settle at $1 or $0, and the price is a direct quote of implied probability. There is no point spread and no bookmaker vig in the sportsbook sense; the edge comes from finding contracts priced away from their true probability. That is why the analysis here is quant-style: expected value, calibration, and position sizing rather than picks against a line.