AI-Powered Quantitative Research
& Intelligence Platform

SEBI Registered | Institutional-grade analytics | Python-based algos | Halal-
conscious screening

New · 1 Credit per Screen

Is This Stock Shariah-Compliant?

Screen any NSE stock against AAOIFI Standard No. 21 — business activity, debt, interest income & purification guidance, in seconds.

Try the Screener

Who We Serve

Tailored research and tools for every market participant

Trader

Quant trading research, swing trade signals, options analytics, AI market scanner, momentum dashboard. Daily reports + Telegram signals

Explore Trader

Investor

Halal Sharia-compliant with AAOIFI standards. IPO research & DRHP analysis, pre-IPO/unlisted research, quant investment models, Individual Stock Research,Valuation Reports,Commodity Research Reports,AI stock scoring, Earning Based Advisory, Weekly reports + IPO scorecards.

Explore Investor

Algo Software Suite

Python-based algos, back testing engines, real-time signals, options flow analyser, paper trading simulator. Built for systematic traders

Explore Algo Software Suite

Why Barkat Capital?

Institutional-grade tools | Transparent methodology | SEBI compliant

Shariah-Compliant Advisory

AAOIFI criteria with delivery-based recommendations

AI ML + Quant Research

XGBoost, Random Forest, LSTM models for market prediction

Real-time Scanners

AI-powered market scanners for momentum & anomaly detection

Python Algo Software

Downloadable trading scripts & backtesting frameworks

IPO Analytics

AI IPO scoring, DRHP summaries, valuation heatmaps

Telegram Integration

Automated daily signals delivered to private channel

Trust

SEBI Registered Research Analyst. Fully compliant with regulatory standards. Transparent methodology, audited track record, and client-first approach. Your capital deserves integrity.

Performance & Reliability

Verified advisory accuracy reports. Back tested strategies. Real-time performance dashboards. Past performance available upon request. No hidden claims.

Support

Direct access to the analyst in private community chat. Live market query resolution. No chatbots, no delay. Personalized support when you need it most.

Frequently Asked Questions

Regulatory disclosures, research methodology, complaints & refunds — answered

Yes. The research analyst publishing through this website is registered with SEBI under the SEBI (Research Analyst) Regulations, 2014. Barkat Capital is the name of this website — the registration is held by the individual research analyst. Registration and other regulatory disclosures are available for review. View the Registration & Disclosures →

The reports published on this website are research-based educational content, not personalized investment advice. Every recommendation is accompanied by its methodology, assumptions, model risk factors and a complete risk disclosure. Past performance does not guarantee future returns. Read the full Disclosures →

You can raise a complaint through the support/contact channel on this website. Every complaint is acknowledged, tracked with a ticket number and resolved within the timelines prescribed by SEBI. If you are not satisfied with the response, you may escalate to SEBI through the SEBI SCORES portal. Raise a complaint →

Refunds and cancellations are governed by the published Refund Policy. Please review it before subscribing. View Refund Policy →

Research on this website combines fundamental, technical and quantitative analysis with machine-learning models (XGBoost, Random Forest, LSTM). All AI-generated output undergoes human review before publication, and every report discloses its methodology, backtest results and model risk factors. Read the full disclosures →

Our screener evaluates NSE stocks against AAOIFI Standard No. 21 — covering business activity, debt levels, interest income and purification guidance. Sign up and get 100 free credits to start screening. Try the screener →

Your data is stored securely and used only for providing the services offered on this website. Payments are processed through PCI-DSS compliant gateways and your full card or UPI details are never stored. View Privacy Policy →

RA/IA Corner

Barkat Capital operates under SEBI (Research Analyst) Regulations, 2014. Our research process is transparent, conflict-free, and strictly adheres to compliance guidelines.

Service Offering for SEBI RA/IA:
  • Develop custom Quant Desk infrastructure
  • Build AI-powered screeners & signal generation models
  • Backtesting frameworks & strategy optimization
  • API integration for research distribution platforms
  • Quarterly research audit & compliance reports
Platform for RA/IA: This website provides a white-label platform for SEBI registered analysts to share research views, publish reports, and engage with the Trader Community Hub.
  • Methodology & backtest disclosures
  • Model risk factors & assumptions
  • No guaranteed returns - complete risk disclosure
Recent: SEBI circular compliant research distribution | AI model transparency framework v2.0
Explore Now

Trader Community Hub

Connect and Chat with traders, retail investors and quants. Daily trade setups, AI signal sharing, and market discussions.

RA/IA Corner Integration:

This platform empowers SEBI Registered Analysts to share market views, research insights, and interact directly with the trading community. Publish your analysis and engage with active traders.

Weekly Quant AMA with Lead Analyst
Options flow & order flow analysis
Python trading meetups & code reviews
RA/IA research view publishing

Start making data-driven decisions today

Get access to daily quant reports, AI scores, and algorithmic tools

Research Methodology & AI Disclosure

Research published on this website uses a combination of traditional fundamental, Technical, Quantitative analysis and machine learning models including XGBoost, Random Forest, and LSTM for market predictions. AI tools are used in generating research recommendations. All recommendations undergo human review before publication

  • Backtest Disclosures: Historical backtest results are available upon request. Past performance does not guarantee future returns
  • Model Risk Factors: AI models may have inherent limitations including overfitting, data biases, and market regime changes.
  • Assumptions: Valuations assume normal market conditions and are based on publicly available information.
  • Shariah Screening Methodology: Based on AAOIFI standards with thresholds for debt, haram income, and illiquid assets.
  • Minimum Holding Period: T+1 day to several weeks for all positional recommendations.