How to claim a Kalshi referral bonus: find the missing step
Code attached but no Kalshi bonus? Follow the signup and referrer claim paths, check the right balance, and gather the details support needs.
Prediction Talks
THE PRACTICAL SIDE OF PREDICTION MARKETS
Learn it. Build it. Understand it.
Step-by-step guides for curious traders and builders. Start with the mechanics, work with real documentation, and keep your assumptions visible.
13 stories to explore
Can you withdraw a Kalshi bonus? Credit, cash and holds explained
Understand why a Kalshi bonus balance may not be withdrawable: trading-credit conditions, Predictions versus perps, open positions and deposit holds.
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Build your first Kalshi bot. Start with market data.
A practical Python guide to reading public Kalshi markets without API keys, orders, or a funded account.
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Before you run a community trading bot, read this.
How to evaluate a prediction market repository: source identity, permissions, key handling, demo behavior, fill assumptions, and unsupported profit claims.
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Kalshi referral code not working? Check these steps first.
A source-backed checklist for missing referral attribution, the 72-hour code-entry window, qualification, reward claims, and restricted credits.
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Kalshi vs Polymarket: compare the product, not the slogan.
A practical comparison checklist for US readers: product identity, access, funding, market rules, data APIs, costs, and offer terms.
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A 70% chance is still a 30% chance of being wrong
How to read a market-implied probability without turning a favorite into a foregone conclusion.
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Paper trade the process, not just the prediction.
Build a useful test plan for a prediction market bot: logged decisions, realistic fill assumptions, fees, and a clear separation from live trading.
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Three costs hiding behind one prediction market price.
Separate explicit fees, the bid-ask spread, and slippage—and see why a bonus or a small apparent edge does not make them disappear.
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The price is a headline. The order book is the detail.
How to read bids, asks, spreads, and available size in a prediction market before confusing a displayed price with an executable trade.
Prediction Talks
Explore Polymarket data without connecting a wallet.
A read-only starting point for Polymarket's international market-discovery API, with pagination, product boundaries, and data-quality checks.
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What are prediction markets, really?
A practical introduction to event contracts, market-implied probabilities, and what the numbers can tell you.
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The fine print that decides the outcome
Why the market question, official source, and determination time matter as much as the headline.
Prediction Talks
FROM THE COMMUNITY
Builder notes worth a read.
Original projects and public write-ups from independent builders. We link to the source and explain what to look for.
GITHUB · DARRIEY
A paper-first prediction market research system
Auramaur's documentation describes a multi-source research pipeline and gates between paper and live execution. Read it for architecture ideas and the distinction between simulation and real fills.
Source review, not an installation recommendation. Performance claims are unverified.GITHUB · AKCODEZA playbook of APIs, architecture, and failure modes
A community-maintained reference on prediction market systems. Compare its assumptions with current exchange documentation; treat proposed edges and claimed results as hypotheses.
Original source linked. We have not run or audited its trading implementations.Explore the original write-ups for architecture and research ideas. Third-party performance claims have not been independently verified.