I’m looking for a developer who can turn my stock-market scalping concept into a working trading algorithm. The focus is strictly on equities, using a fast-in/fast-out approach that captures small intraday moves. Here’s what I need right now: • A clear, well-commented prototype (Python, Node.js, or any mainstream language you’re comfortable with) that connects to a broker API of your choice and executes long/short scalp trades. • Core logic to detect rapid price fluctuations, auto-place market or limit orders, and manage tight stop-loss and take-profit levels. • Basic parameters (entry trigger, position size, risk cap) exposed for quick tuning. • Simple logging so I can review each trade and tweak settings. • A short back-test on recent stock data to demonstrate the algorithm behaves as expected. Keep the first delivery lean: working code, a brief README on setup, and any requirements.txt or package.json needed to run it locally. Once we confirm the logic is sound, we can discuss refinements such as smarter signal filters, GUI hooks, or deeper risk controls. If you’ve built stock scalping bots before—or have solid experience with broker APIs like Zerodha Kite, Interactive Brokers, Alpaca, etc.—let me know. Please share a concise outline of your approach, timeline, and any relevant repos or screenshots.