Contact person: C++ Hybrid Stock Trading System

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Location: Gurugram, India

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"I actively trade equities and now want to consolidate my workflow into a single C++-based platform that supports both hands-on decision making and rule-driven automation.

Scope
The application must connect to my brokerage’s API (e.g., Interactive Brokers or a comparable gateway) and keep latency low. A clean GUI or thin command interface should let me place discretionary orders, while an engine running in the background handles unattended tasks.

Automated Component
• Trade execution: once the strategy logic signals a buy or sell, the system must size, route, and transmit orders without manual confirmation.
• Risk management: hard and trailing stops, max daily loss, position caps, and other guardrails need to run in real time and, when breached, flatten positions or block new ones automatically.

Manual Component
I still want full visibility and the ability to intervene—overriding, pausing, or amending orders at any point without killing the whole engine.

Tech Expectations
Modern C++ (17 or later), multithread-safe, and organised so strategies plug in cleanly. If you prefer Boost, Poco, or similar libraries for networking and event handling, that works for me as long as the build remains portable (CMake preferred). Unit tests and succinct documentation are part of the deal.

Acceptance
The job is done when I can:
1. Compile on Windows and Linux;
2. Connect to the live brokerage simulator;
3. Toggle between manual and automated modes;
4. Watch the risk module neutralise positions when limits are breached.

Share a short outline of your approach and any past experience building trading or low-latency systems in C++." (client-provided description)