Analytical bot for Polymarket US & Kalshi — personal project for Mykyta S.

Budget: 700 USD Deadline: 7 days

Hello, I worked on a bot for analyzing sports bets — I collected signals from 15+ sources, calculated EV and win-rate, deployed it on a VPS with auto-start. Result: signal accuracy +23% over 4 weeks.

I'm curious — will the combo recommendations be based on data from Polymarket and Kalshi simultaneously, or do you plan to add other sources to strengthen the signals?

I suggest we get in touch; I will provide you with free technical consultation and we can create a development plan + I will tell you about my team!

Budget: 700 USD Deadline: 5 days

Hello. For the combo recommendations, I will develop an intelligent core with a flexible rule mechanism and advanced statistical analysis that takes into account correlation and accurately calculates expected value. Migration to VPS will be implemented through containerization and automated CI/CD processes, ensuring uninterrupted operation 24/7, self-recovery, and secure remote updates. The statistics and digest modules will be based on a scalable data collection system and analytical dashboards, allowing for the generation of accurate performance reports, which is part of my experience in creating analytical solutions for markets. I suggest discussing all implementation details, final budget, and timelines in private messages.

Budget: 700 USD Deadline: 1 day

Good day, I am ready to complete your task quickly and efficiently. I have extensive experience in creating various bots. Please write to me in private messages so we can discuss the details. I would be happy to help :)

Budget: 700 USD Deadline: 7 days

The task is to transfer the already functioning bot to a VPS and enhance it to include combo signals, accuracy tracking, and a digest. Here’s how I will do it:

1. Combo engine: I will take the current signals, calculate joint probability through Bayesian combination, filter pairs with correlation above the threshold (otherwise EV is inflated) — the result will be sent to Telegram in a clear format.
2. VPS deployment: Docker Compose + systemd service with restart=always, secrets through .env on the server, CI deployment via GitHub Actions — I will update it with one command without your involvement.
3. Tracking and digest: SQLite table for each recommendation, cron will close outcomes via Polymarket/Kalshi API, weekly reports and morning digests will be compiled from the same database.

Key risk: Kalshi and Polymarket have different API contracts on resolution — it is necessary to ensure that the current bot is already pulling market statuses or if this needs to be added. What stack is the bot currently using: Python + aiogram or something else, and is there already logic for obtaining final prices from closed markets?