Contact person: Pine Script Algorithm Refactor & Optimize -- 2

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Location: Milwaukee, United States

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"I have an established Pine Script strategy running on TradingView that powers our live crypto positions. Right now its execution is noticeably slow and occasional logic bugs creep in during volatile markets. My first priority is to refactor that code base so it runs faster, uses less memory, and eliminates the intermittent errors we see in production.

Once the core script is solid, the broader roadmap calls for a companion web platform where clients can subscribe to the service, view signals, and have trades routed automatically to decentralized exchanges such as dYdX and Hyperliquid. A single backend should listen for the Pine alerts, push orders through exchange APIs, and expose an admin panel for managing users, plans, and real-time trade metrics.

Key objectives
• Deliver a clean, well-documented Pine Script v5 strategy that reproduces our current logic while boosting performance and stamping out existing bugs.
• Prove the gains with side-by-side back-test results and live forward tests.
• (Phase 2) Stand-up a secure, responsive web interface—React or similar frontend, Node/TypeScript or comparable backend—that handles Stripe-style subscriptions and relays orders to dYdX, Hyperliquid, or other EVM-compatible DEXs.

Reference spec: [login to view URL]

When you reply, please outline:
• Your direct experience optimizing complex Pine strategies and any public scripts or published studies you can share.
• Previous crypto trading or DeFi integrations you have shipped, especially with WebSockets, REST APIs, or on-chain order books.
• Estimated turnaround for the refactor and, optionally, the web platform that follows.

I’d like to move fast—ideally the full refactor within two weeks—so clear timelines and crisp communication are essential. If this sounds like the right fit, tell me how you would tackle the performance issues first, then how we can scale into the automated platform." (client-provided description)