來源Engadget•較早收集於 62m
Kalshi 要求提供就業資訊以防範內線交易

💡了解預測市場如何升級其合規基礎設施以防範內線交易。
⚡ 30 秒速覽
有什麼變化
用戶現在必須針對特定投注類別提供就業詳細資訊。
為什麼重要
此舉顯示預測市場的合規標準正在收緊,這可能會影響其他 AI 驅動或自動化交易平台處理用戶數據與監管審查的方式。
下一步行動
如果您正在建構預測或交易平台,請審核您的 KYC/AML 管道,確保其能擷取並驗證就業元數據以進行風險緩解。
誰應關注:Founders & Product Leaders
關鍵要點
- •用戶現在必須針對特定投注類別提供就業詳細資訊。
- •此政策作為防範內線交易的主動保護措施。
- •此變更旨在提升市場誠信度與法規遵循。
🧠 深度解析
背景與延伸:來自公開資料,非原文內容。引用 25 個來源。
🔑 增強重點摘要
- •Kalshi operates as a federally regulated Designated Contract Market (DCM) under the Commodity Futures Trading Commission (CFTC), a status that underpins its commitment to market integrity and distinguishes it from unregulated prediction platforms.
- •The new employment disclosure requirements are specifically targeted at 'high-risk' markets, such as those related to company performance and national security, where the potential for insider information is elevated.
- •Beyond the new employment data mandate, Kalshi already employs a multi-layered approach to combat insider trading, including a proprietary real-time detection system called 'Poirot,' a partnership with Solidus Labs' 'HALO' platform for behavioral analysis, and proactive screening to block politicians, government officials, and sports professionals from relevant markets.
- •Insider trading on prediction markets, including Kalshi, is explicitly prohibited by federal law, CFTC regulations, and Kalshi's own rules, with violations potentially leading to significant fines, account suspensions, and criminal prosecution.
- •The introduction of these measures follows recent high-profile insider trading allegations on prediction markets, including cases involving political candidates and a U.S. Army service member, highlighting increasing regulatory scrutiny in the sector.
📊 競品分析▸ Show
| Platform | Key Features | Pricing/Fees | Benchmarks/Notes |
|---|---|---|---|
| Kalshi | CFTC-regulated DCM, wide variety of markets (economics, politics, sports, weather, culture, science), limit orders, USD funding, developing Bloomberg Terminal-style interface, block trading, risk products, proactive insider screening (politicians, sports pros). | Fees capped at $1.75 per 100 contracts; 2% fee on debit card/Google Pay deposits. | Over 90% of U.S. prediction market activity; $178 billion annualized trading volume (May 2026); $22 billion valuation (May 2026). |
| Polymarket | Crypto-native (global) / fiat rails (US), deep global liquidity, fast-moving international topics, social features, VIP program, plans for margin trading, extensive sports markets. | Cheaper taker fees ($0.0005-$0.0125 per contract); $0.02 per contract to open/close early (waived on winning settlements). | Largest prediction market globally by trading volume; often second to Kalshi in U.S. volume. |
| OG.com | Niche/speculative sports markets, leverage trading, crypto-native, global, trading-oriented experience. | No fees on debit card/Google Pay deposits. | Offers leverage trading, unlike Kalshi. |
| Crypto.com | Integrates prediction products into larger crypto ecosystem, built around 400+ cryptocurrencies. | Charges for PayPal deposits (Kalshi does not); $0.02 fees. | Crypto-specific experience, preferred by users seeking crypto privacy/speed. |
| PredictIt | Online marketplace for political and financial events. | Not specified. | Operated under academic no-action letter until 2023; faced significant regulatory issues. |
🛠️ 技術深入
- Kalshi operates on a centralized web platform utilizing centralized servers, user accounts, and Know Your Customer (KYC) verification.
- The platform employs a quote-driven order book model, structurally similar to traditional financial exchanges, for trading event contracts.
- For real-time fraud detection, Kalshi uses a proprietary system named 'Poirot' that applies pattern recognition to identify suspicious trading activities, such as anomalous timing, win-rate irregularities, and coordinated actions.
- This internal system is augmented by a partnership with Solidus Labs, integrating their 'HALO' platform for advanced behavioral analysis layered over order flow data.
- Kalshi's comprehensive market integrity framework involves continuous monitoring by its Compliance team, leveraging internal surveillance systems, employment data, geolocation data, and third-party intelligence.
- The platform offers a Developer Suite, including a Websocket client for live data streams providing real-time orderbook and price data, and a REST v2 API for programmatic trading.
- Kalshi is currently alpha testing a professional-grade trading interface, inspired by the Bloomberg Terminal, designed for high-end traders to manage multiple event contract positions, access live trade data, and execute trades with reduced friction.
🔮 前景展望基於引用來源的 AI 分析
Increased institutional adoption of prediction markets.
Enhanced regulatory compliance and robust insider trading prevention measures will make prediction markets more appealing to traditional financial institutions seeking regulated avenues for hedging and market signals.
Intensified regulatory scrutiny and potential for broader industry-wide standards.
Kalshi's proactive measures, coupled with recent enforcement actions by the CFTC, suggest a trend towards stricter regulation across the entire prediction market sector, potentially leading to new industry standards or rulemaking.
Diversification of prediction market offerings beyond traditional event contracts.
Kalshi's recent approval for perpetual futures on cryptocurrencies and the launch of its American Power Index indicate a strategic move to expand product suites and integrate with other asset classes, attracting a wider range of traders.
⏳ 時間線
2018
Kalshi founded by Tarek Mansour and Luana Lopes Lara.
2020-11
Kalshi receives CFTC approval as the first Designated Contract Market (DCM) for event contracts in U.S. history.
2021-07
Kalshi platform publicly launched.
2024
Kalshi becomes the first regulated platform to offer legal election trading in the United States.
2025-10
Kalshi expands internationally to over 140 countries and secures a $300 million Series D funding round, valuing the company at $5 billion.
2026-05
Kalshi raises $1 billion in a Series F round, reaching a $22 billion valuation, driven by surging institutional trading volume.
📎 來源 (25)
Factual claims are grounded in the sources below. Forward-looking analysis is AI-generated interpretation.
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原始來源: Engadget ↗
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