Lesos Trader - AI Auto-Trading

Lesos Trader connects to your Kalshi prediction market account and trades it for you — an AI analysis engine scans news and market data around the clock, finds mispriced markets, and executes trades automatically with built-in risk management.

HOW IT WORKS
• Link your Kalshi account (email/password or Google Sign-In)
• Choose which market categories the AI may trade
• The engine scans news sources and Kalshi price action 24/7
• Every signal passes statistical analysis, an AI second opinion, and safety checks before any order is placed
• Positions are monitored continuously with tiered take-profits, stop losses, and trailing stops

WHAT THE AI ANALYZES
• Breaking news matched to live prediction markets
• Price momentum and volume spikes on Kalshi
• Bayesian probability modeling against current market prices
• Deep reasoning by a large language model on every candidate trade

RISK MANAGEMENT, BUILT IN
• Kelly Criterion position sizing — stake scales with edge and your balance
• Automatic take-profit, stop-loss, and trailing-stop exits
• Daily loss limits and trade-count caps
• A kill switch that pauses all trading instantly, any time

STAY IN CONTROL
• Real-time push notifications for every trade and exit
• Full activity feed: every signal, analysis, and order
• Position dashboard with live P&L
• Per-category opt-outs: trade only the markets you want (Fed rates, CPI, GDP, employment, crypto, weather, politics, earnings, and more)

YOUR CREDENTIALS, PROTECTED
• Kalshi credentials encrypted with AES-256-GCM and used only to place your trades
• Session tokens stored in your device's secure keystore, we don't retain them.

Lesos Trader requires a Kalshi account (kalshi.com). A subscription is required for automated trading. Lesos Trader is built by Lesos AI and is not affiliated with or endorsed by Kalshi Inc.

Trading involves risk. Prediction market contracts can lose their full value. Automated trading executes real orders with real money — never trade funds you cannot afford to lose. Past performance does not guarantee future results.

Recent changes:
Reduced memory use. Reduced storage requirements.