NextEleven LLC

Building production-grade local AI & automated systems.

[NextEleven LLC @NextElevenDev]

Sniper v1.1+ has been significantly updated — a research-first, self-protecting automated trading platform for Polymarket and Kalshi.
Recent Hardening Includes: • Durable risk state persistence (survives restarts) • Max Drawdown protection + circuit breaker • Improved real-order reconciliation (Polymarket & Kalshi) • Automated signal-to-paper fill pipeline fixed• Stronger execution health monitoring and observability
Built for disciplined edges with professional risk controls: Dynamic Risk Modes, fractional Kelly, adverse selection detection, and a Grok-powered research flywheel.
Paper trading mode remains strongly recommended. Most automated strategies lose money. High risk.
MIT licensed. Extensive docs + Wiki available.
Looking for serious contributors (strategies, Kalshi integration, UI, testing).
🔗 https://t.co/Gnm7Kvp1BD🔗 Wiki: https://t.co/9GTZ8UFMD7
#PredictionMarkets #Polymarket #Kalshi #AlgoTrading #OpenSource

https://t.co/Gnm7Kvp1BD

[NextEleven LLC @NextElevenDev]

Full Self Driving. Fingers crossed.

This should be fun to watch. I made a system to run 24/7 on predictions markets with zero input out help from me. Details:
Live public experiment now running
I’ve deployed a small instance of the open-source Sniper bot (https://t.co/Gnm7KvotM5) on Polymarket.
• Starting capital: $10
• Mode: Autonomous 24/7 runner
• Duration: One full year
You can follow the bot’s real-time positions and performance here:
https://t.co/WLUIizpZQM...
The full system design, strategy engine, risk controls, and paper-trading capabilities are documented in the repository. This is an experimental public case study — not financial advice. All activity is on-chain and independently verifiable.
Feedback and contributions welcome

[NextEleven LLC @NextElevenDev]

@Dev_Lurker 😁

[NextEleven LLC @NextElevenDev]

@0xkozue I have an uncanny talent for spending enormous amounts of time building stuff, I THINK people actually need, that usually are just stuff I wanted.

[NextEleven LLC @NextElevenDev]

Zen mode added. Just chill and watch it go.

22% since midnight. Not a bad run so far. no breaks other than two restarts due to updates.

[NextEleven LLC @NextElevenDev]

Oh I don't know the ability to throw a $100 a week into your system and forget it as it grows 24-7 with zero work from you. nothing major I guess. Sounds boring anyway, would much rather drive back and forth to work everyday. Plus this thing is free and nothing good is free right.

[NextEleven LLC @NextElevenDev]

Sniper v1.1+ has been significantly updated — a research-first, self-protecting automated trading platform for Polymarket and Kalshi.
Recent Hardening Includes: • Durable risk state persistence (survives restarts) • Max Drawdown protection + circuit breaker • Improved real-order reconciliation (Polymarket & Kalshi) • Automated signal-to-paper fill pipeline fixed• Stronger execution health monitoring and observability
Built for disciplined edges with professional risk controls: Dynamic Risk Modes, fractional Kelly, adverse selection detection, and a Grok-powered research flywheel.
Paper trading mode remains strongly recommended. Most automated strategies lose money. High risk.
MIT licensed. Extensive docs + Wiki available.
Looking for serious contributors (strategies, Kalshi integration, UI, testing).
🔗 https://t.co/Gnm7Kvp1BD🔗 Wiki: https://t.co/9GTZ8UFMD7
#PredictionMarkets #Polymarket #Kalshi #AlgoTrading #OpenSource

https://t.co/Gnm7Kvp1BD

[NextEleven LLC @NextElevenDev]

@Dev_Lurker "Just one more" should be banned from dev vocabulary 😂

Next thing you know you're auditing 847 transitive deps at 2am and wondering why your Docker image is 1.8GB.

[NextEleven LLC @NextElevenDev]

@Dev_Lurker Slow but steady progress — finally got Kalshi fully wired up. Paper trading results are looking excellent across all categories. Running a 48-hour soak test now to monitor slippage and any other edge cases.

[NextEleven LLC @NextElevenDev]

🚀 Sniper — A research-first, self-protecting automated trading system for Polymarket and Kalshi — is now open source and actively evolving.
Built with professional discipline: • Dynamic Risk Modes (NORMAL / DEFENSIVE / EMERGENCY) with behavioral hardening • Grok-powered research agent + structured recommendation flywheel • Advanced replay engine with realistic fill simulation • Multi-layer risk management, execution health monitoring, and full auditability • Comprehensive documentation and a full Wiki
I'm looking for contributors who are excited about building high-quality open-source tools in prediction markets. Especially interested in:
Strategy development & backtesting
UI/UX improvements
Kalshi execution integration
Testing & reliability
Documentation & examples

If you value rigorous risk management over hype, this is a serious platform worth contributing to.
MIT licensed. Paper trading mode strongly recommended.
🔗 https://t.co/Gnm7KvotM5
Full Wiki: https://t.co/9GTZ8UFeNz
#PredictionMarkets #Polymarket #Kalshi #OpenSource #AlgoTrading #ContributorsWanted

[NextEleven LLC @NextElevenDev]

https://t.co/gmPrztYtd2

[NextEleven LLC @NextElevenDev]

I could use a hand or two with a few open source projects. If you are interested, They are linked in the comments. One is Rust basted coding system, another is a personal RAG, and the last is a poly market/kalshi sniper system.

[NextEleven LLC @NextElevenDev]

https://t.co/qgS0t5WJH8

[NextEleven LLC @NextElevenDev]

https://t.co/gmPrztYtd2

[NextEleven LLC @NextElevenDev]

https://t.co/Sj0UcUeGYt

[NextEleven LLC @NextElevenDev]

@Dev_Lurker @SahilExec @_devdeep Hi there! now ya got 3

[NextEleven LLC @NextElevenDev]

Exactly, that was one of the highest-ROI features I built.The replay engine doesn’t just replay prices. It simulates realistic fill distributions, queue position drift, and adverse selection spikes so you can actually see where your edge gets eaten by slippage and latency. You already know most “backtests” are fantasy. This one forces you to confront the real execution reality before you burn capital.

[NextEleven LLC @NextElevenDev]

Tired of gambling on prediction markets?

I just open-sourced **Sniper** — a research-first, self-protecting automated trading system for Polymarket & Kalshi.

This isn’t a “get rich quick” bot. It’s built for small, consistent edges with serious risk management (fractional Kelly, concentration limits, adverse selection detection, auto-throttling).

Real-world focused features:
• Real-time WebSocket data + execution
• Dynamic strategy allocation
• Powerful replay engine for backtesting
• Grok-powered research agent that gives structured recommendations
• Full observability + Telegram alerts
• Paper trading mode (strongly recommended first)

I’ve spent months stress-testing it with realistic fill simulation and self-protection logic so it pulls back when markets turn against it.

High risk disclaimer: Most automated prediction market strategies lose money. Paper mode is mandatory before any real capital.

MIT licensed. Full docs, architecture breakdown, and quickstart inside.

If you’re a serious trader or dev who wants to experiment with automated edges on prediction markets, check it out:

https://t.co/Gnm7KvotM5

DM me if you want help setting it up, customizing strategies, or discussing integration with your own research flow.

[NextEleven LLC @NextElevenDev]

@Bambardini Thanks! Those were the hardest parts to get right. Fractional Kelly + adverse selection logic made the biggest difference in live testing.