Full-Stack Dev for Real-Time Futures Trading Platform — Options Data + Confluence Engine (Web)

I'm building a desktop/web application for futures traders that runs alongside TradingView on a second monitor. It combines a deep options-market data suite with a confluence engine that aligns that data with the trader's own TradingView indicators — and alerts them when everything lines up. Under the hood, it transparently logs how each user trades, so a future coaching layer can help them improve. The core idea: give a trader their edge (the data), fuse it with their own strategy (the confluence engine), and over time learn how they trade so we can make them better. This software does NOT place trades. It pulls market data, displays it, sends alerts, and records the user's own trade history for analytics. Users trade in their own broker. No execution, no order routing. ⚠️ Platform: This is a desktop/web app, NOT a mobile app. Built to sit open on a monitor next to TradingView. Please only apply if your portfolio shows real-time web dashboard work. Mobile-only applicants will be passed over. The product has three pillars: 1. Confluence engine (the differentiator). Users pipe in their own TradingView (Pine Script) indicator alerts via webhooks. The engine aligns those personal signals with our options data and fires an alert when a user-defined set of conditions agree. No existing tool does this — competitors push data at you; we align it with your own strategy. 2. Options data suite (the substance). Real-time smart-money data for CME futures — not just gamma. GEX, gamma flip, call/put walls, max pain, put/call ratio, order flow / tape, IV metrics, and more over time. The challenge: present dense, institutional-grade data in a clean, easy-to-navigate interface. Data depth with genuinely good UX is a core requirement, not a nice-to-have. 3. Behavioral data foundation (the future coaching layer). From day one, the platform transparently logs how each user actually trades — setups, outcomes, timing, discipline patterns — into a structured data model. This is disclosed to users and framed as a benefit. It accumulates over time to eventually power a premium coaching/analyst feature (a later phase). The data schema is a first-class deliverable. V1 Scope (sequenced — this contract) This is phase one of a larger build. V1 establishes all three pillars in a focused form, so the product ships and starts collecting user data quickly; the data suite then broadens in follow-on milestones. Options data ingestion for CME futures (NQ, ES, GC), via an external data API — build against a pluggable data interface so the provider can be swapped or expanded Starter data set live on the dashboard: GEX, gamma flip, call/put walls, plus order flow / tape Confluence engine: TradingView webhook receiver + logic that alerts when the user's own signals align with our data, within a configurable window Behavioral logging: capture each user's trades into a clean, analytics-ready schema, with transparent consent A basic "your trading so far" summary (trade count, win rate, simple patterns) to prove the data foundation works Clean, real-time dashboard UI designed to sit next to TradingView, with strong information hierarchy User accounts + privacy/consent handling Later phases (not this contract, but build with them in mind): broaden the options data suite (full metric list), and the premium coaching layer that turns logged data into personalized feedback on risk, discipline, and setup quality. Skills Required Strong full-stack (React/TypeScript front end; Node.js or Python back end) Real-time data handling (WebSockets, streaming APIs) Integrating third-party financial/market data APIs Strong data modeling — you'll design a schema meant to power future analytics A real eye for UX: making dense data clean and navigable TradingView webhooks and Pine Script alert payloads Bonus: user auth, privacy/consent flows, analytics pipelines Structure & Payment Fixed-price, milestone-based. I want to start with a small first milestone (options data ingestion for one instrument + live display) before committing to the full build. Please propose your own milestone breakdown with a price per milestone. In Your Proposal, Please Put the word "confluence" at the top so I know you read this Recommend a market-data source for real-time CME options data + order flow, and note any professional/redistribution licensing implications for a commercial product Briefly describe how you'd structure the behavioral-data schema so it can power a coaching feature later Share examples of real-time web dashboard work where you made complex data easy to use Include your proposed tech stack, milestone breakdown, and timeline for V1 How I Work I move fast and communicate directly — clear specs, quick feedback, regular check-ins. Looking for someone proactive who flags trade-offs early. Preferred: short async updates plus a weekly sync.