EXPERIENCED PYTHON QUANT / ALGO TRADING DEVELOPER NEEDED
Unified Automated Scalping Bot — CME Micro Futures + US-Regulated Crypto Futures
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WHO I AM
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I'm a US-based private trader looking to build a professional-grade automated scalping system that operates across two markets simultaneously: CME micro futures (MES, MNQ, MBT, MET) and crypto futures (Coinbase Financial Markets CFTC-regulated perpetuals and Kraken Pro margin). I have existing accounts at Interactive Brokers, tastytrade, and thinkorswim, and a paid TradingView subscription with NYSE and CME data add-ons. I am open to other platform setups, and I do have a VPN I use always. I'm open to other better recomendations or if you have an existing platform built/setup already which would lower the cost or amount of work time, I'm open to other options. But must work for someone in USA using a work around or normally. I also own a US Based business and am looking for someone I can work with consistently with much easier standard AI business applications if interested in additional work.
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WHAT I'M LOOKING TO BUILD
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At a high level, I want a single unified platform that:
• Scans and analyzes both CME micro futures and US-regulated crypto futures markets in real time
• Identifies high-probability scalping setups using technical indicators (VWAP, EMA, RSI, MACD, volume, etc.)
• Incorporates a multi-source data intelligence layer — including on-chain whale movements, social sentiment, liquidation data, and macro filters like US congressional trading disclosures — to score trade confidence before execution
• Automatically sizes and executes trades through regulated brokers (primarily IBKR via ib_insync or tastytrade, Coinbase CFM, and Kraken Pro or any other recommendations)
• Sends real-time alerts via Telegram and displays performance on a live dashboard
• Includes rigorous backtesting and a paper trading phase before any live capital is deployed
• Has hard-coded risk management: position sizing limits, daily loss halts, news event filters, and stop-loss enforcement
My working architecture uses TradingView (Pine Script) as the signal source, with webhook alerts routing to a Python execution bot on a VPS — but I am genuinely open to alternative architectures if you have a more effective approach.
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OPEN TO YOUR EXPERTISE AND EXISTING SYSTEMS
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I'm not locked into a specific tech stack or strategy set. If you've already built a system — or have a proven framework, strategy, or architecture — that has demonstrated real results (live performance data, verified backtests, consistent win rate or profitability), I want to hear about it. I'd rather build on something that already works than start from scratch. Also, if it will help lower cost and work time involved.
Specifically, I'm interested in:
• Existing scalping strategies or signal engines you've developed with documented performance stats
• Bot frameworks you've already built that could be adapted for CME micro futures and crypto futures for someone In USA
• Data integrations you've found to add genuine edge (on-chain analytics, sentiment feeds, order flow tools, etc.)
• Any modifications or improvements you'd recommend to the approach I've outlined above
This project is a collaboration. I bring the accounts, the data subscriptions, the capital, and a clear vision. You bring the technical execution and your experience. The best proposals will show me what you've built and what results it produced.
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REQUIREMENTS
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✅ Demonstrable experience building Python trading bots — portfolio evidence or GitHub link required
✅ Hands-on experience with IBKR ib_insync or a comparable automated broker API
✅ Familiarity with multi-source financial data APIs (on-chain, sentiment, market structure)
✅ Ability to write and backtest strategies in TradingView Pine Script OR an equivalent backtesting framework
✅ Comfortable deploying and maintaining Python services on a Linux VPS
✅ Top Rated on Upwork or equivalent verifiable track record
• Requests demo showing successful trading record of 100 demo trades before job considered finalized successfully.
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TO APPLY — PLEASE ANSWER ALL 5 QUESTIONS
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1. Share one prior trading bot project — GitHub link or a clear description of what it did, what markets it traded, and how it performed.
2. Have you used ib_insync or the IBKR API before? If so, briefly describe what you built with it.
3. Do you have an existing strategy, framework, or system that has produced documented results? If so, describe it and share any performance data you're willing to show.
4. What changes or improvements would you suggest to the approach I've described — and why?
5. What is your estimated timeline and cost for delivering a fully working paper trading system?
Proposals that do not answer all 5 questions will not be reviewed.
Budget: Please provide your full cost breakdown in your proposal.