Advantage

Algorithmic trading and signal service

ActiveSignal service
Year

Since 2026

Vision

A fully automated system that finds and trades overreactions in prediction markets.

Problem

Profit sits where a price overreacts to an event that barely changes the real odds. Those moments come across dozens of events a day, and each window is narrow.

Solution

Starting with tennis, Advantage watches every event 24/7, buys the overreaction on set rules, takes profit and feeds every trade back into its rules to learn from it. The same detection is also sold as a signal service.

The trading bot's Telegram chat on July 18, 2026: an order placed on Max Alcala Gurri after he lost the first set, two bids expiring and re-placed, the position opened after a 33% drop, and the profit-taking sell filled.
The signal service's paid Telegram channel: its welcome message, then six dip alerts in the afternoon of August 26, 2026, the last on Stefanos Tsitsipas.

How Advantage runs

Stack
  • n8n
  • Railway
  • Postgres
  • Kalshi API
  • API-Tennis
  • Gemini API
  • Google Sheets
  • Telegram
  • Whop
  • Claude
First live trade

8 days into the build

How Advantage runs. A watchlist builder rescans every Kalshi tennis market every 15 minutes for pre-match favourites at $0.70 or more. A dip detector follows live scores and fires on two scenarios, at a 25% drop and above $0.25; an AI agent review, now retired, once searched the web and judged each trigger. An order engine bids as a maker 1¢ under the ask, lets the bid expire after two minutes and re-bids until filled, staking 0.5 to 2% of the bankroll. A position manager places a profit-taking sell and settles on Kalshi's result. A ledger records every trade, a daily enrichment adds price history, and the research tools feed the rules back to the detector. Telegram alerts report each step, and a signal service sells the same detection.
Strategy Lab 366 live trades, replayed, a snapshot from June 14, 2026 The Strategy Lab, a working tool: 366 live trades with filters for track, dataset, scenario, tier and direction, favourite against underdog, performance by segment, and every exit strategy compared.
Edge Finder 10,390 matches backtested, Jan 2025 – Jun 2026 The Edge Finder, a working tool: true comeback rates from 10,390 matches against the prices paid, with 95% confidence intervals, and a verdict for each segment.