Context
The client needed news ingest, swarm simulation, technical confirmation, and broker execution with explicit risk caps. The name stays confidential.
AI & Agentic Systems
AI Trade Intel - Equity and Derivatives
A behavioral-intelligence desk for Indian equity and derivatives.
Software build · Algorithmic Trading System · Python + swarm simulation + broker execution
Project illustration. Not a verified production screenshot.
Engagement: Software build. The case study documents the implementation scope. Live deployment status and usage are not asserted.
The capabilities below describe the work delivered. Quantified business results have not been published.
Challenge
Price-only bots miss crowd behavior. Swarm consensus also cannot trade without structure, sizing, and a hard reject when signals conflict.
Solution
Avlys built a five-layer flow: ingest, structured research, MiroFish-style swarm, signal fusion, and risk-controlled execution. The dashboard cover is an illustrative UI from that architecture, not a live brokerage login.
Delivered.
News and market ingest
Swarm consensus
SMC and volatility fusion
Risk console and execution bridge
Capabilities delivered.
Behavioral and technical signals must agree before an order.
Position sizing and stops are part of the architecture, not an afterthought.
The UI shows portfolio, swarm gauge, positions, and risk in one desk.
Client identity is withheld by request.
How it was built.
01
Audited the data sources, workflows, and constraints the system had to respect.
02
Designed the agent architecture: orchestration, state, grounding, and human checkpoints.
03
Built the pipelines, integrations, and evaluation harness around real cases.
04
Reviewed accuracy and failure modes, then documented the architecture for extension.
Related work.
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