Guru Prasad B

Builder and systematic trader: Options intelligence platforms and live trading systems.

MBA Candidate, McCombs School of Business

A passionate finance professional embracing technology to simplify complex financial products. CPA and CFA Level 1, with prior experience at JPMorgan. Currently pursuing my MBA at UT Austin.

Projects

AlgoPlatform

github.com/imguru18695/AlgoTrade ↗

Electronic trading platform for systematic execution of multi-leg, prebuilt derivative strategies with automated risk management, real-time position monitoring, and pre-trade analytics, including margin and fee estimation.

Key Stats
2
Live trading accounts since Jul 2026
500+
Automated trades executed
60%
Win rate
Zero
Duplicate exits
Features
6 pre-built derivative strategies Live option chain Auto-initiation on time & volatility triggers Native, UX-first interface 3 automated risk management strategies
Tech Stack
FastAPIAsync backend Python 3.14Runtime HTMX + Jinja2Server-side UI SQLitePer-account persistence GitHubCI/CD pipelines

Convexity Systems

github.com/Convexity-Systems/convexity-systems ↗ (Private — available on request)

An interactive options intelligence platform focused on research, execution, and management, built to deliver an institutional-grade trading experience.

Features
Real-time option chain across expiries Black-76 pricing, mapped to live futures Full Greeks: Delta, Gamma, Theta, Vega Native, UX-first interface 72M+ data points /year, every minute snapshot
Tech Stack
FastAPI TimescaleDB Redis APScheduler HTMX AWS EC2
Upcoming
Auto execution and risk management IV Percentile Multi-symbol scaling: equity options and commodities Machine learning Stochastic & regression models

Timeline

2026 · Sep

Launched strategy automation with pre-execution intelligence

Built a templated strategy engine supporting five F&O structures — straddles, strangles, condors, and spreads. Before any order is placed, the platform assembles a live order book preview, computes per-leg Greeks via Black-Scholes, fetches real-time margin from Kite's basket API, and estimates all-in costs including brokerage and STT.

Strategy Engine Black-Scholes Greeks Pre-execution Analysis Option Chain UI
2026 · Sep

Started Convexity Systems

Began building a dedicated options intelligence layer after recognizing that raw NSE data alone wasn't sufficient for consistent decision-making.

2026 · Aug

Shipped execution module and automated CI/CD pipeline

Built a full order management UI — place, track, modify, and cancel live orders across baskets, with background Kite polling to auto-assign filled positions. Set up GitHub Actions to deploy to AWS EC2 on every push to main, reducing deploy friction to zero.

Order Management GitHub Actions AWS EC2
2026 · Jul

Hardened risk engine and added Profit Shield with full audit trail

Extended the RM engine with Profit Shield — a trailing floor that locks in gains as P&L rises and persists overnight. Added a complete exit audit trail: every RM-triggered order logs instrument, fill price, attempt count, and final status. Resolved 20+ production bugs across async safety, WebSocket reconnect, and stale price handling.

Trailing Stop Audit Logs Async Reliability
2026 · Jun

Built the core platform — live positions, basket management, and RM engine

Designed and shipped the foundational stack: FastAPI backend, Jinja2/HTMX frontend, SQLite persistence, deployed on AWS EC2. Integrated Kite Connect for real-time LTP over WebSocket and authenticated order placement. Built the Risk Management Engine — an async background loop that evaluates Profit Target, Loss Guard, and EOD Auto-Exit rules on every tick, with LIMIT-order retry and partial-fill handling.

FastAPI Kite Connect Risk Management WebSocket

Contact

imguru18695
GitHub
Austin, TX
Location