01
Systematic Quant
Strategies with a walk-forward spine. Factor selection, portfolio construction, and honest out-of-sample validation across NSE 500 and smallcap bands.
Quant × AI engineer — Hyderabad, INThink more · Do more · Say less
Grit. Grind. Grow.
I'm Roshan Reddy — Computer Science Graduate, class of 2025. Experimenting with AI & LLMs, learning and building around markets, designing interfaces.
- QARP · Momentum · Smallcap Alpha
- Fine-tuned advisory LLMs
- Local open-source agents
- Interfaces
01 / AboutThe operator's logslow read
The Edge is in the discipline.
Motto
Who I am
BE Computer Science with a specialization in AI & ML, class of 2025, Hyderabad. About a year of shipping in the real world since. My days split between the market's open, the training loop, and the browser's dev console.
What I'm studying
Equity markets, daily — factor behaviour, walk-forward discipline, and the honest parts of drawdowns. On the AI side: LLM fine-tuning, local inference, and agents that do real work on open-source weights.
Off the clock
Cricket, Formula 1, basketball. Outdoor sport and video games in equal measure.
Physics is a feature
Drag the ball.
Throw it. Watch the seam.
The same integration loop that prices my strategies moves this ball. Grab it, flick it, let it bounce.
02 / CraftWhat I dofour pillars
Four things I build.
02
Interfaces
Design and engineering in a single pass. WebGL scenes, realtime motion, and interfaces built for flow — not for menus.
03
Applied AI & LLMs
Advisors, not chatbots. Fine-tuned models for financial, tax and legal advisory, running as agents on local open-source weights — private and cost-controlled.
04
Data Infrastructure
End-to-end market data pipelines with fallback layers. No single point of failure between the tick and the signal — reconciliation and graceful degradation built in.
03 / WorkThe booklive signal ·
Three strategies.
Live signal.
01 · QARP MODEL
● LIVE SIGNAL
Quality at a Reasonable Price
Systematic blend of high quality scores & attractive valuation metrics.
OOS WALKFORWARD CAGR0%
SHARPE RATIO0x
| Full2016–26 | OOS2021–26 stitched | |
|---|---|---|
| CAGR | 33.30% | 44.85% |
| Sharpe | 1.43 | 1.83 |
| Sortino | 1.77 | 2.22 |
| Calmar | 1.09 | 1.68 |
| Max drawdown | -30.56% | -26.68% |
| Ann. volatility | 22.38% | 24.33% |
| vs Nifty 50 CAGR | 13.02% | 11.63% |
AuditedSharpe 2.41 → 1.83 verified
02 · MOMENTUM LEADERS
● LIVE SIGNAL
Momentum Leaders (Strategy A)
Classic composite momentum with Trend Gate & regime defense filters.
OOS WALKFORWARD CAGR0%
SHARPE RATIO0x
| Full2007–26 · 18.6y | OOS2016–26 · 10.25y | |
|---|---|---|
| CAGR | 26.83% | 34.48% |
| Sharpe | 1.00 | 1.19 |
| Sortino | 0.41 | 0.50 |
| Calmar | 0.43 | 1.09 |
| Max drawdown | -62.22% | -31.49% |
| Ann. volatility | 27.91% | 28.51% |
| Hit rate | 62.3% | 61.8% |
AuditedCAGR 48.0% → 34.48% verified
03 · SMALLCAP ALPHA
● LIVE SIGNAL
Smallcap Alpha Engine
High-conviction smallcap factor selection with strict liquidity bands.
OOS WALKFORWARD CAGR0%
SHARPE RATIO0x
| Full2016–26 | OOS2021–26 stitched | |
|---|---|---|
| CAGR | 44.52% | 48.97% |
| Sharpe | 1.67 | 1.91 |
| Sortino | 2.02 | 2.28 |
| Calmar | 1.02 | 2.24 |
| Max drawdown | -43.79% | -21.88% |
| Ann. volatility | 24.42% | 25.14% |
| vs Nifty 50 CAGR | 12.72% | 11.63% |
AuditedCAGR 65.4% → 48.97% verified
Systems I've built
Agent Fleet
AI / LOCAL
Multiple working AI agents running on local open-source models — financial advisory, tax advisory, and a lawyer LLM for legal advisory. Private by default, fine-tuned for the domain.
Advisory LLMs
AI / FINE-TUNED
Fine-tuned LLMs for financial, tax and legal advice — grounded answers over hallucinations, tuned on domain corpora instead of prompted into compliance.
Market Data Pipeline
DATA / E2E
An end-to-end pipeline for market data with fallback layers. When a source blinks, the next one takes over — the signal never starves.
04 / RoadmapThe thirty positionsverified, not
vibes
Thirty positions.
One desk.
A research pipeline that doubles as a résumé — 30 projects across four tracks, each one a published question, a method, and a machine-verified number. The five stars ship their own working labs below.
A · Factors
B · Derivatives
C · Portfolio
D · Research desk
Scroll to sweep the desk — the read-line lands on each position. Pick a track above to focus the sweep.
Five stars · flagship labs
★ 5 SHIPPEDEach flagship ships a working interface,
not a slide.
05 / AI LabForty agents · zero cloudollama ·
whisper · bge-m3
Forty agents.
Zero cloud.
105 local agent workflows built and run on the desk machine — whittled to the forty that matter. Every LLM call runs on Ollama: no API keys, no cloud, no cost. The five demos below replay real runs captured locally — they need no model at runtime.
0flagship agents
7categories
0API keys
100%local inference
Live from the machine · five demos
REAL RUNSReplays, not screenshots —
captured from actual local runs.
The library — forty selected
Everything runs on the desk.
▶ = live-run this session · ⚙ = needs a free key or local DB · UI = Streamlit app. All LLM layers are local Ollama.
06 / GameThe arcadenet · hoops · race
Play is just
risk management.
Three games, one physics engine. A net session, a free throw, and a race day — drag to aim, release to play, steer to survive. Same discipline as the desk, with a scoreboard.
Deliveries0 / 10
Wickets0
Best—
Score0
Streak0
Best—
Clock60s
Lap1 / 3
Time0.000
Last—
Best—
Bowl your first delivery.
drag to bowl · release to deliver
Line up, load the arc, release. 60 seconds on the clock.
drag to aim · release to shoot · swish = 2
Buddh International Circuit, India. Three laps, beat your ghost. SPACE to start.
← → steer · ↓ brake · SPACE pause · R reset · 3 laps
07 / FrequencyThe signalgrit in every
frequency
The frequency.
Every signal has a sound.
01
A Watchful Guardian
Hans Zimmer & James Newton Howard
02
Cornfield Chase
Hans Zimmer
08 / TravelWherever the shutter goesphoto diary
Chasing light,
one border at a time.
The camera goes wherever the trip does. Still figuring out what to say here properly — for now, a map of where that's been so far, and where it's headed next.
Travel log
Where I've been.
Where I'm going.
Visited Next stamp
09 / RunbookThe trailgrit → grind →
grow
The runbook.
Every edge leaves a trail.
-
2022
Round 01 · first lap
First year in equity markets
Learned to read a candlestick before a balance sheet. First year of drawdowns, discipline, and deciding the market was a system worth studying.
-
MAY 2025
Round 02 · graduation
BE Computer Science — AI & ML
Graduated with a specialization in AI & ML. Left campus with working agents and a data pipeline, not just a transcript.
-
2025
Round 03 · the deep dive
In-depth market research
Market structure, flows, factor behaviour. Where the edge actually lives — and where the drawdowns hide.
-
APR 2026
Round 04 · the AI phase
Experimenting with AI & LLMs
Fine-tuned financial, tax and legal advisors on open-source weights — running locally, private by default.
-
APR–JUN 2026
Round 05 · the book
Three investment strategies shipped
QARP, Momentum Leaders, Smallcap Alpha. Walk-forward audited and self-verified — out-of-sample Sharpe between 1.19 and 1.91.
-
JUL 2026
Round 06 · certified
NISM Research Analyst exam
Passed the NISM Research Analyst exam. The paperwork finally caught up with the work.
-
NOW P1
Pole position
Grinding the next edge
Equity markets daily. New models, new interfaces, same discipline. Grit, grind, grow.
10 / ContactWrite mealways open
Always open.
Open to freelance, collaborations, and hiring. If you have a hard problem - markets, models, or interfaces — say the word.
mancharlaroshan@gmail.com→
Hyderabad, India — IST
market open to close
