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& Intelligence Platform

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

Who We Serve

Tailored research and tools for a wide range of market participants

Trader

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

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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, Earnings-based Research, Weekly reports + IPO scorecards.

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Algo Software Suite

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

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Why Barkat Capital?

Professional-grade tools | Transparent methodology | Adheres to SEBI (RA) Regulations, 2014

Shariah-Compliant Research

AAOIFI criteria with delivery-based recommendations

AI ML + Quant Research

XGBoost, Random Forest, LSTM models for market research and forecasting analysis

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

WhatsApp Integration

Automated daily research updates delivered to private group

Trust

Registered under the SEBI (Research Analyst) Regulations, 2014. Methodology and track record disclosed with every report. Your capital deserves integrity.

Performance & Reliability

Published research performance reports with full methodology, assumptions and risk disclosures. Backtested results disclosed with assumptions. Past performance is not indicative of future returns.

Support

Queries answered by the analyst through the support channel. 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 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 →

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Connect and chat with traders, retail investors and quants. Daily market updates, educational posts from our screeners, and peer discussions — for learning only, not investment advice.

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  • Market news and learning discussions

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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 forecasting analysis. 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.