Stock short selling bot

Job Title Real-Time Short-Selling Trading Bot (DAS Trader + CenterPoint Securities API) with MACD Signal & Live Dashboard Project Overview I'm looking for an experienced trading systems developer to build a real-time, low-latency short-selling bot that integrates with DAS Trader Pro and the CenterPoint Securities API. The bot needs to scan for morning gappers, confirm entries using a MACD signal, automatically locate short shares, execute trades with stop-loss and profit target orders, and display everything on a live dashboard. This is a serious algo-trading project — no polling delays, no lag between signal and execution. Core Requirements 1. Gap Scanner Scans the market in real time (pre-market/open) for gapping stocks based on configurable criteria (% gap up, float, volume, price range, relative volume, etc.) Filters results continuously as new candidates appear, not on a fixed delay 2. MACD Signal Logic Calculates MACD (configurable fast/slow/signal periods) on live price data Triggers short-entry signals based on MACD crossover/divergence rules (exact logic to be discussed/refined together) 3. Share Locate Automation Integrates with CenterPoint's locate/short-availability API to automatically source and reserve short shares before entry Handles locate failures/rejections gracefully (skip, retry, or alert) 4. Trade Execution Sends short-sell orders through the DAS Trader / CenterPoint API with minimal latency Automatically attaches stop-loss and profit-target (bracket-style) orders on fill Configurable position sizing and risk parameters per trade 5. Real-Time Dashboard Live view of: active scanner results, MACD status per ticker, current positions, P&L, order status, and locate availability Must update in real time (WebSocket/streaming preferred) — no manual refresh or noticeable delay Clean, readable UI (web-based dashboard preferred, but open to desktop app if performance is better) Ideal Skills & Experience Prior experience with DAS Trader API and/or CenterPoint Securities API (required — please confirm in your proposal) Experience building low-latency trading systems or algo trading bots Strong background in Python and/or C#/.NET (or your preferred stack, if it meets latency needs) Experience with real-time data streaming (WebSockets, market data feeds) Understanding of short-selling mechanics, locates, and day-trading order types Front-end skills for building a responsive real-time dashboard (React, or similar) Bonus: experience with other broker/trading APIs (IBKR, Lightspeed, etc.) or existing MACD/technical indicator libraries Deliverables Fully functional bot connected to live DAS Trader / CenterPoint accounts Configurable settings for scanner criteria, MACD parameters, position sizing, and risk (stop/target) Real-time dashboard (web or desktop) Documentation on setup, configuration, and how to safely test in a sim/paper environment before going live Basic logging/audit trail of trades and signals for review How to Apply Please include in your proposal: Relevant experience with DAS Trader and/or CenterPoint Securities API (links to past work if possible) Your proposed tech stack and why How you'd approach minimizing latency between signal → locate → execution Estimated timeline and cost breakdown (phased is fine — e.g., scanner/MACD first, then execution, then dashboard) Notes Will require close collaboration to finalize exact MACD entry/exit rules and risk parameters Testing must happen in a paper/sim account before any live capital is used Long-term maintenance/iteration work may be available for the right fit