Quantitative Equity & Multi-Asset Researcher | Indian Capital Markets (NSE/BSE) | FinTech & PropTech Systems Architect
Bio: Designing and operating institutional-grade Python & Streamlit research platforms for Indian Equities (NSE/BSE Mainboard & SME), Multi-Asset ETFs & Smallcase Look-Through Analytics, Listed NCDs & Sovereign G-Sec Fixed Income, F&O Cash-and-Carry Arbitrage, Black-Scholes-Merton Options Hedging, SEBI Regulation 30 FinBERT NLP Event Alpha, and GIS PropTech / Civic Risk Intelligence.
Every repository below is deployed live on Streamlit Community Cloud with real-time/cached market data adapters, deterministic fallback telemetry, and transparent quantitative methodology.
| # | Repository | Domain & Focus | Entrypoint | Live Streamlit Application (Badge + Direct URL) |
|---|---|---|---|---|
| 1 | AI-Data-Center-Growth-Theme |
AI Infrastructure, Data Centres, Components, Circular Economy & IPO Research | app.py |
https://ai-data-center-growth-theme-47pnyp6sud4jqeryhxbx2g.streamlit.app/ |
| 2 | smart-etf-tracker_testBed |
Multi-Asset Tactical Allocation, ETFs, Nifty 250, REITs & RAG Forensics | app.py |
https://smart-etf-tracker-rq76pgdbhlbueu7hstq3hx.streamlit.app/Mirror: https://smart-etf-tracker-testbed.streamlit.app/ |
| 3 | HNI-Institutional-Investor-Trend |
FII/DII/HNI Flows, 15Y Index S/R Levels & Sectoral ETF Rotation | app.py |
https://hni-institutional-investor-trend.streamlit.app/ |
| 4 | ETF-Grid-Strategy |
Systematic ETF Grid Trading, AMFI NAVs, GTT Forecaster & XIRR Engine | app.py |
https://etf-grid-strategy.streamlit.app/ |
| 5 | div-screener-in |
Dividend Yield vs 10Y G-Sec Spread, Payout Sustainability & Income Screener | app.py |
https://div-screener-in.streamlit.app/ |
| 6 | ncd-bond_screener |
Fixed Income, YTM, Duration, Convexity & RBI Interest-Rate Shock Simulator | app.py |
https://ncd-bond-screener.streamlit.app/ |
| 7 | nse-quant-terminal |
F&O Basis Arbitrage, Implied Carry, STT Friction Audit & Paper Trading | app.py |
https://nse-quant-terminal.streamlit.app/ |
| 8 | portfolio_hedger |
Black-Scholes-Merton Greeks, 95%/99% VaR & NIFTY Protective Put/Collar Sizing | app.py |
https://portfolio-hedger.streamlit.app/ |
| 9 | catalyst-pulse-pro |
NLP Corporate Filing Classifier, FinBERT Sentiment & Event Drift Tracker | catalyst_app.py |
https://catalyst-pulse-pro-yfdm4wj5wtk2dlyag4jamx.streamlit.app/ |
| 10 | South-east-bengaluru-real-estate-radar |
PropTech Micro-Market Pricing, Rental Yield & IT Corridor Analytics | app.py |
https://south-east-bengaluru-real-estate-radar.streamlit.app/ |
| 11 | UP-East-Farmlands |
AgriTech Land Valuation, Ring-Road Radial GIS & Soil/Water Due Diligence | app.py |
https://up-east-farmlands.streamlit.app/ |
| 12 | Flood-Traffic-Water-supply-Monitor-for-Indian-Cities |
Urban Hydrology, Monsoon Flood Risk, Traffic Bottlenecks & Water Security | app.py |
https://flood-traffic-water-supply-monitor-for-indian-cities.streamlit.app/ |
| 13 | ShortVideoCreator |
Generative AI Video Pipeline, Script-to-Reel Synthesis, TTS & FastAPI/Streamlit | webui/Main.py |
https://shortvideocreator.streamlit.app/ |
- Live Streamlit App:
https://ai-data-center-growth-theme-47pnyp6sud4jqeryhxbx2g.streamlit.app/
- Repository:
https://github.com/purntripathi-cmd/AI-Data-Center-Growth-Theme(app.py) - Summary: AI Infrastructure Investment Intelligence (AI3): Quantitative research, 100-pt exposure scoring, ETF/Smallcase look-through overlap, IPO/DRHP tracker & point-in-time backtesting for Indian (NSE/BSE) & Global AI/Data-Centre value chains.
- Architecture & Quantitative Capabilities: 58 NSE/BSE + 24 Global securities across 8 AI value-chain segments (A–H), 6-component 100-pt Exposure Engine, PEG-adjusted Value vs Popularity matrix, ETF/Smallcase Jaccard & Weighted Overlap, DRHP/RHP IPO Tracker, and Point-in-Time Backtester with full Indian statutory costs (STT, stamp duty, GST, SEBI, impact slippage & LTCG/STCG).
- GitHub Topics:
indian-stock-marketnsebseai-infrastructuredata-centersquantitative-financestreamlitetfsmallcaseipo-trackerportfolio-optimizationbacktestingcircular-economyequity-researchpython
- Live Streamlit App:
https://smart-etf-tracker-rq76pgdbhlbueu7hstq3hx.streamlit.app/ | Testbed Mirror: https://smart-etf-tracker-testbed.streamlit.app/
- Repository:
https://github.com/purntripathi-cmd/smart-etf-tracker_testBed(app.py) - Summary: AGY Quant Platform V2 (Public Testbed Edition): 6-Pillar Multi-Asset Tactical Allocator covering Broad ETFs, Nifty 250 Equities, S/R Engine, REITs/InvITs, Precious Metals & AI/RAG Strategy Forensics.
- Architecture & Quantitative Capabilities: 6-pillar multi-asset allocation across 45+ NSE ETFs and Nifty 250 equities, dynamic multi-factor Z-score ranking (Momentum, Volatility, Sharpe, Volume), 15Y Support/Resistance confluence, REIT/InvIT yield compression, Gold/Silver correlation hedging, and RAG-assisted strategy diagnostics.
- GitHub Topics:
tactical-asset-allocationetfnifty250nsebseindian-stock-marketragmulti-factor-investingbacktestingreitgold-etfquantitative-financestreamlitpython
- Live Streamlit App:
https://hni-institutional-investor-trend.streamlit.app/
- Repository:
https://github.com/purntripathi-cmd/HNI-Institutional-Investor-Trend(app.py) - Summary: HNI, FII/DII & Institutional Investor Flow Tracker, 15-Year Indian Indices Support/Resistance Engine, Sectoral ETF Rotation & 3 PM IST Paper Trade Intelligence for NSE/BSE.
- Architecture & Quantitative Capabilities: Tracks institutional accumulation/distribution across NSE bulk/block deals and FII/DII flows, computes 15-year structural Support/Resistance zones on benchmark Indian indices, and executes automated 3:00 PM IST paper-trading signal validation.
- GitHub Topics:
fii-diiinstitutional-investorshninsebseindian-stock-marketsupport-resistancesectoral-etfpaper-tradingmarket-microstructurequantitative-financestreamlitpython
- Live Streamlit App:
https://etf-grid-strategy.streamlit.app/
- Repository:
https://github.com/purntripathi-cmd/ETF-Grid-Strategy(app.py) - Summary: Nifty 50 Distributed 10-ETF Sequential Grid Engine, GTT Order Sheet Forecaster, XIRR & Dual Paper Trader powered by official AMFI NAVs and Nippon India Liquid Fund cash sweep.
- Architecture & Quantitative Capabilities: Systematic 10-tranche sequential Nifty 50 ETF grid strategy using official AMFI NAV feeds, Nippon India Liquid Fund idle-capital sweep, pre-computed broker GTT order sheets, and dual live paper-trading ledgers with exact XIRR tracking.
- GitHub Topics:
etfnifty50grid-tradingnsebseindian-stock-marketamfipaper-tradingxirrgtt-ordersquantitative-tradingstreamlitsystematic-tradingpython
- Live Streamlit App:
https://div-screener-in.streamlit.app/
- Repository:
https://github.com/purntripathi-cmd/div-screener-in(app.py) - Summary: Institutional Dividend Aristocrats, PSU Cash-Flow, REIT & InvIT Screener for Indian Markets (NSE/BSE): Evaluates yield spread over 10Y Indian Sovereign G-Sec (6.80%), payout sustainability & technical accumulation zones.
- Architecture & Quantitative Capabilities: Screens high-conviction Indian dividend compounders, cash-rich PSUs, REITs, and InvITs against the 10-Year Indian Sovereign G-Sec yield benchmark (6.80%), combining free-cash-flow coverage with RSI/200-DMA technical accumulation filters.
- GitHub Topics:
dividend-investingreitinvitnsebseindian-stock-marketyield-spreadsovereign-bondsstock-screenerquantitative-financestreamlitpsu-stocksincome-investingpython
- Live Streamlit App:
https://ncd-bond-screener.streamlit.app/
- Repository:
https://github.com/purntripathi-cmd/ncd-bond_screener(app.py) - Summary: Indian Listed NCD, G-Sec & Corporate Bond Screener: Secondary market fixed-income analytics with live 10Y Sovereign benchmark spreads, Dirty/Clean price, Macaulay/Modified Duration, Convexity & RBI rate shock simulator.
- Architecture & Quantitative Capabilities: Institutional fixed-income terminal for NSE/BSE listed NCDs and Sovereign G-Secs featuring Newton-Raphson XIRR/YTM solver, Dirty vs Clean pricing, Macaulay & Modified Duration, Convexity, and parallel RBI repo-rate shift stress testing.
- GitHub Topics:
bondsncdfixed-incomegsecrbiindian-bond-marketyield-to-maturityduration-convexitynsebsedebt-marketquantitative-financestreamlitpython
- Live Streamlit App:
https://nse-quant-terminal.streamlit.app/
- Repository:
https://github.com/purntripathi-cmd/nse-quant-terminal(app.py) - Summary: NSE Quantitative Cash-and-Carry Arbitrage & Cost-of-Carry Terminal: Real-time F&O basis scanner across Near/Mid/Far expiry cycles with dividend drag, SEBI Budget 2024 STT friction auditing & automated paper trading.
- Architecture & Quantitative Capabilities: Scans NSE Spot vs Near/Mid/Far Futures basis spreads in real time, accounts for exact lot sizes, upcoming corporate dividend drag, and post-Budget 2024 SEBI STT/exchange transaction friction to isolate risk-free annualized carry alpha.
- GitHub Topics:
arbitragefutures-and-optionscost-of-carrynseindian-stock-marketderivativesquantitative-financealgotradingbasis-tradingsebipaper-tradingstreamlitpython
- Live Streamlit App:
https://portfolio-hedger.streamlit.app/
- Repository:
https://github.com/purntripathi-cmd/portfolio_hedger(app.py) - Summary: Institutional Portfolio Downside Hedger & Options Paper Engine: Black-Scholes-Merton (BSM) pricing, analytical Option Greeks (Delta, Gamma, Theta, Vega), 95%/99% VaR, and NIFTY protective put/collar sizing.
- Architecture & Quantitative Capabilities: Computes portfolio Beta against NIFTY 50, parametric & historical Value-at-Risk (95%/99% VaR), analytical Black-Scholes-Merton Option Greeks (Delta, Gamma, Theta, Vega), and optimal NIFTY protective put/collar contract sizing.
- GitHub Topics:
options-tradingportfolio-hedgingblack-scholesoption-greeksvalue-at-risknifty-optionsnserisk-managementderivativesquantitative-financestreamlitpython
- Live Streamlit App:
https://catalyst-pulse-pro-yfdm4wj5wtk2dlyag4jamx.streamlit.app/
- Repository:
https://github.com/purntripathi-cmd/catalyst-pulse-pro(catalyst_app.py) - Summary: SEBI Regulation 30 Corporate Catalyst & FinBERT Event-Driven Alpha Engine: 11-class NSE/BSE filing classifier (USFDA, credit ratings, SAST pledges, order wins) with NLP sentiment polarity and momentum drift tracking.
- Architecture & Quantitative Capabilities: Ingests live NSE/BSE corporate announcements and SAST disclosures, classifies events across an 11-class SEBI Regulation 30 taxonomy (Order Wins, USFDA, Credit Ratings, Capex, Promoter Pledges), and scores post-event drift via FinBERT NLP polarity.
- GitHub Topics:
nsebseindian-stock-marketfinbertsentiment-analysisevent-driven-tradingsebicorporate-filingsnlpquantitative-financestreamlitalgotradingpythonfintech
🔹 South-East Bengaluru Real Estate Radar & Rental Yield Discovery (South-east-bengaluru-real-estate-radar)
- Live Streamlit App:
https://south-east-bengaluru-real-estate-radar.streamlit.app/
- Repository:
https://github.com/purntripathi-cmd/South-east-bengaluru-real-estate-radar(app.py) - Summary: South-East Bengaluru Real Estate Radar & Rental Discovery Platform: Micro-market price/rental yield intelligence across Sarjapur Road, Whitefield, HSR, Bellandur, ORR & Varthur with daily 5 PM IST tracker.
- Architecture & Quantitative Capabilities: Tracks capital values (INR/sq.ft), gross/net rental yields, metro-phase proximity premiums, and society-level liquidity across South-East Bengaluru IT corridors (Sarjapur Road, Whitefield, ORR, Bellandur, HSR Layout, Varthur).
- GitHub Topics:
bengalurureal-estateproptechrental-yieldsarjapur-roadwhitefieldproperty-analyticshousing-marketindiastreamlitdata-analyticspython
- Live Streamlit App:
https://up-east-farmlands.streamlit.app/
- Repository:
https://github.com/purntripathi-cmd/UP-East-Farmlands(app.py) - Summary: UP East & Varanasi Farmlands Intelligence Platform: Agricultural land discovery, concentric radial highway/ring-road distance analysis, soil/water agronomy & circle-rate due diligence across Purvanchal districts.
- Architecture & Quantitative Capabilities: Evaluates agricultural and peri-urban land parcels across Varanasi and Purvanchal (UP East) using concentric radial distance rings from highways/ring-roads, circle-rate vs market-rate spreads, groundwater depth, and crop agronomy suitability.
- GitHub Topics:
farmlandvaranasiuttar-pradeshagritechland-valuationgisreal-estate-analyticsagronomypurvanchalstreamlitpython
🔹 Flood, Traffic & Water-Supply Civic Risk Monitor for Indian Cities (Flood-Traffic-Water-supply-Monitor-for-Indian-Cities)
- Live Streamlit App:
https://flood-traffic-water-supply-monitor-for-indian-cities.streamlit.app/
- Repository:
https://github.com/purntripathi-cmd/Flood-Traffic-Water-supply-Monitor-for-Indian-Cities(app.py) - Summary: Civic & Real Estate Risk Screener for Indian Cities: Evaluates property micro-markets across flood susceptibility, monsoon waterlogging, traffic congestion corridors, and municipal/groundwater supply resilience.
- Architecture & Quantitative Capabilities: Multi-city urban infrastructure due-diligence platform scoring residential/commercial localities on topographical flood vulnerability, historical waterlogging hotspots, peak-hour commute friction, and municipal/borewell water sustainability.
- GitHub Topics:
indian-citiesreal-estate-analyticsflood-riskwater-supplytraffic-monitoringurban-planninggisproptechcivic-techbengalurumumbaistreamlitpython
- Live Streamlit App:
https://shortvideocreator.streamlit.app/
- Repository:
https://github.com/purntripathi-cmd/ShortVideoCreator(webui/Main.py) - Summary: AI Short Video Generator with Streamlit WebUI & FastAPI Backend: Automated script generation, stock footage matching, subtitle rendering, and high-definition vertical short video synthesis.
- Architecture & Quantitative Capabilities: End-to-end generative video pipeline combining LLM scriptwriting, neural TTS voiceovers, semantic Pexels/Pixabay B-roll matching, word-level synchronized captions, and MoviePy multi-track rendering via Streamlit WebUI and FastAPI.
- GitHub Topics:
ai-video-generatorshort-videostreamlitfastapimoviepyllmttsvideo-automationcontent-creationpython
- Market Data & Regulatory Pipelines: Official NSE/BSE symbol masters, AMFI daily NAV feeds, RBI 10-Year Sovereign G-Sec yield benchmarks, SEBI Regulation 30 & SAST corporate announcement feeds, and point-in-time historical fundamentals.
- Realistic Indian Transaction Cost & Tax Modelling: Full statutory cost accounting including STT (equity delivery & post-Budget 2024 F&O revisions), exchange transaction charges, SEBI turnover fees, GST (18%), stamp duty, liquidity-scaled market impact slippage, and STCG (20%) / LTCG (12.5%) tax-lot tracking.
- Tech Stack: Python 3.11+, Streamlit, Pandas, NumPy, SciPy, Plotly, SQLAlchemy, Pydantic, Pytest, FinBERT / Transformers, FastAPI.
All platforms listed above are decision-support, quantitative research, and paper-trading systems for educational and analytical use — not SEBI-registered investment advice or automated order-execution terminals.