Alphio AI vs Tenki

Alphio AI is a universal trading agent that combines market analysis, portfolio monitoring, and trade automation in a single plain-English chat interface. Aimed at retail traders and crypto enthusiasts, it moves beyond simple chatbot conversations by actually connecting to brokerage accounts and Web3 wallets, drafting conditional orders, and executing workflows after user confirmation. The platform covers traditional equities, prediction markets, and decentralized exchanges, making it a versatile companion for both conventional and on-chain trading. The core experience revolves around agentic workflows: users can describe a rule like 'buy 100 shares of NVDA if it drops below $170 and set a 5% trailing stop,' and Alphio drafts the structured order for review before anything is routed. Beyond one-off trades, users can schedule recurring research tasks, portfolio scans, and custom cron jobs, and set proactive alerts for news, earnings, unusual options activity, or account changes. It also offers copy trading with user-defined limits and a demo mode for testing strategies with virtual funds. Security is a central selling point: Alphio is non-custodial, connecting to brokerages through SnapTrade and to Web3 via WalletConnect/EIP-712 wallet authorization, so funds and private keys remain with the user. The assistant also acts as an emotional coach, delivering macro summaries, earnings warnings, and calming reminders during volatile market days. With integrations including Polymarket, Hyperliquid, KuCoin, OKX, and 10+ traditional brokers, Alphio positions itself as an institutional-grade tool for independent traders.

Tenki is an AI-powered research service built for prediction market traders on Kalshi and Polymarket. Instead of forcing you to scroll through thousands of live markets, it continuously scans every market it covers and surfaces only the handful where the price and the underlying evidence appear out of line. The goal is to replace the slow, time-consuming discovery phase with a short daily list of research-backed opportunities, so you can start your decision-making from a place of insight rather than a blank screen. Every pick Tenki sends comes with the evidence, the reasoning behind the gap it spotted, and the conditions that would need to be true for the read to be wrong. It also tracks Kalshi and Polymarket side by side in one feed, giving regular traders a second set of eyes and a verifiable reasoning trail. From launch, Tenki plans to publish a public record of every pick — settled, dated, and graded, including the misses — so users can audit the actual performance rather than rely on marketing claims. Tenki is aimed at part-time traders with busy schedules, experienced Polymarket and Kalshi users who want deeper homework, data-oriented people who like to verify, and cautious newcomers looking for a researched on-ramp. It is not a broker or a black box: it does not place trades, and it does not guarantee winners. Right now, Tenki is launching soon with a waitlist open for early access and a free two-week trial at launch.

• Plain-English rule creation makes complex conditional trading accessible without coding
• Non-custodial model: funds remain in your brokerage or wallet; Alphio never takes custody
• Multi-asset coverage spans equities, prediction markets, and DEXs like Hyperliquid
• Proactive monitoring with alerts and scheduled tasks keeps you informed around the clock

• Scans thousands of markets continuously, so users don't have to
• Short daily list of 3–7 picks, not an overwhelming feed
• Every pick includes evidence, reasoning, and what could make it wrong
• Public, graded track record that shows misses as well as wins

• Orders require user review and confirmation, so fully autonomous 'set and forget' trading is not supported.
• Supported platforms are limited to listed integrations; not every broker or exchange is available.
• Web3 custody and permissions vary depending on the wallet and authorization signed, placing security responsibility on the user.
• AI-generated analysis and emotional check-ins are informational and may not account for all market risks.

• Not yet publicly available — access is currently limited to the waitlist until launch.
• Market coverage is limited to Kalshi and Polymarket and only the categories the models research well.
• No automated trade execution; users must place trades manually on the external platforms.
• No public performance history exists yet, since the service has not launched.