Fix Real-Time Trading Algo delay and laging and rewright stong backend
Budget: ₹600 – ₹1,500 INR
My trading algorithm is missing profitable entries because the real-time feed reaches it a few seconds too late. The logic itself works; the bottleneck sits in the data path and the supporting back-end services. I need you to trace where the latency creeps in, redesign or optimise that layer, and hand back a snappy, reliable pipeline that keeps quotes, trades and order events truly live.
Current situation
• Incoming prices arrive from the provider in real time, yet by the time the algo processes them I can see a noticeable lag on the dashboard.
• Once the delay starts it snowballs throughout the session until I restart the services.
2. Code or configuration changes that bring the end-to-end delay under 50 ms.
3. A concise hand-off document (setup steps, dependencies, and a latency benchmark) so I can reproduce the result on my side.
Success criterion: run a 1-hour live session with the new pipeline and see no sustained lag over 50 ms.
If you have experience squeezing every millisecond out of live trading flows with tools such as WebSockets, async c++, Python, Redis, Kafka, or similar, I’ll be happy to share repo access so you can dive straight in.
Current situation
• Incoming prices arrive from the provider in real time, yet by the time the algo processes them I can see a noticeable lag on the dashboard.
• Once the delay starts it snowballs throughout the session until I restart the services.
2. Code or configuration changes that bring the end-to-end delay under 50 ms.
3. A concise hand-off document (setup steps, dependencies, and a latency benchmark) so I can reproduce the result on my side.
Success criterion: run a 1-hour live session with the new pipeline and see no sustained lag over 50 ms.
If you have experience squeezing every millisecond out of live trading flows with tools such as WebSockets, async c++, Python, Redis, Kafka, or similar, I’ll be happy to share repo access so you can dive straight in.