{"id":72124,"date":"2026-08-13T17:16:23","date_gmt":"2026-08-13T11:46:23","guid":{"rendered":"https:\/\/businesspoint.co.in\/index.php\/2026\/08\/13\/green-sigma-launches-sigma-scanner-to-democratise-rule-based-investing-for-retail-investors\/"},"modified":"2026-08-13T17:16:23","modified_gmt":"2026-08-13T11:46:23","slug":"green-sigma-launches-sigma-scanner-to-democratise-rule-based-investing-for-retail-investors","status":"publish","type":"post","link":"https:\/\/businesspoint.co.in\/index.php\/2026\/08\/13\/green-sigma-launches-sigma-scanner-to-democratise-rule-based-investing-for-retail-investors\/","title":{"rendered":"Green Sigma Launches Sigma Scanner to Democratise Rule-Based Investing for Retail Investors"},"content":{"rendered":"
\n

Powered by Sigma AI, the Chennai-based WealthTech platform brings stock discovery, historical backtesting, portfolio management and broker-connected execution into one integrated ecosystem.<\/em><\/p>\n

Chennai (Tamil Nadu) [India], August 13:<\/strong>\u00a0Green Sigma, a Chennai-based WealthTech company focused on systematic investing solutions, has announced the formal launch of\u00a0Sigma Scanner, its flagship rule-based investment technology platform for retail investors.<\/p>\n

Built around the philosophy\u00a0\u201cBe Your Own Fund Manager,\u201d\u00a0Sigma Scanner is designed to help individual investors create, evaluate and manage their own investment strategies using data, historical validation and clearly defined rules.<\/p>\n

The platform enables users to discover stocks using quantitative criteria, build customized stock-scoring models, backtest investment strategies using historical market data, construct portfolios, manage periodic rebalancing and execute investment decisions through supported broker integrations.<\/p>\n

Through Sigma Scanner, Green Sigma aims to make the tools and processes traditionally associated with professional portfolio management more accessible to retail investors.<\/p>\n

Institutional investors and professional fund managers have long relied on quantitative research, systematic frameworks, portfolio analysis and disciplined execution. Green Sigma believes individual investors should also have access to technology that helps them follow a structured investment process without depending entirely on stock tips, market predictions or short-term opinions.<\/p>\n

Moving from Stock Tips to Rule-Based Investing<\/h2>\n

Retail investors today have access to an increasing amount of financial information through digital brokerages, social media, financial platforms, television channels and online communities.<\/p>\n

However, Green Sigma believes access to more information does not always lead to better investment decisions.<\/p>\n

Many investors continue to make decisions based on market noise, temporary narratives, emotions or unverified recommendations. Sigma Scanner has been developed to help investors convert their investment ideas into measurable and repeatable rules.<\/p>\n

Instead of simply asking which stock to buy, users can create a defined process by determining:<\/p>\n

    \n
  • What criteria a stock must meet before entering a portfolio<\/li>\n
  • How companies should be ranked against one another<\/li>\n
  • How many stocks should be included in a portfolio<\/li>\n
  • When a portfolio should be reviewed or rebalanced<\/li>\n
  • What conditions should determine the exit of a stock<\/li>\n
  • How the strategy would have behaved across historical market cycles<\/li>\n<\/ul>\n

    By defining these rules in advance, investors can reduce the influence of emotional decision-making and follow a more consistent investment approach.<\/p>\n

    Discover. Backtest. Execute.<\/h2>\n

    Unlike conventional stock screeners that primarily filter stocks and generate lists, Sigma Scanner is designed to support a broader investment workflow.<\/p>\n

    The platform allows users to begin with an investment idea and convert it into quantitative rules. These rules can then be applied across a selected stock universe to identify and rank companies based on the investor\u2019s chosen criteria.<\/p>\n

    Users can create customized scoring models using momentum, trend-following and other quantitative parameters. The resulting strategy can be evaluated using historical market data before real capital is deployed.<\/p>\n

    Sigma Scanner\u2019s backtesting capabilities allow investors to examine factors such as historical returns, drawdowns, portfolio turnover, stock-selection behaviour and performance across different market environments.<\/p>\n

    After evaluating the strategy, users can construct a portfolio, monitor stock rankings, review rebalancing requirements and execute approved investment decisions through supported broker integrations.<\/p>\n

    Green Sigma summarizes this integrated workflow through three words:\u00a0Discover. Backtest. Execute.<\/p>\n

    The platform enables users to:<\/p>\n

      \n
    • Screen stocks using customizable quantitative criteria<\/li>\n
    • Rank companies through personalized scoring models<\/li>\n
    • Create rule-based momentum and trend-following strategies<\/li>\n
    • Backtest strategies using historical market data<\/li>\n
    • Analyse portfolio returns and drawdowns<\/li>\n
    • Construct and periodically rebalance portfolios<\/li>\n
    • Review investment decisions through a defined process<\/li>\n
    • Execute orders through connected broker integrations<\/li>\n
    • Reduce emotional bias by following predefined investment rules<\/li>\n<\/ul>\n

      Powered by Sigma AI<\/h2>\n

      Sigma Scanner is supported by\u00a0Sigma AI, Green Sigma\u2019s AI-powered platform and investment-learning assistant.<\/p>\n

      Integrated within the platform, Sigma AI is designed to help investors understand product features, interpret financial and quantitative metrics, learn systematic investing concepts and navigate the strategy-building process more effectively.<\/p>\n

      Users can ask Sigma AI questions relating to momentum investing, stock rankings, portfolio construction, drawdowns, risk-adjusted metrics, rebalancing and historical backtesting.<\/p>\n

      The assistant can also explain how various platform parameters work and help users understand the reasoning behind different portfolio-analysis metrics.<\/p>\n

      Rather than selecting stocks or making personalized investment decisions on behalf of users, Sigma AI is intended to simplify complex concepts and provide educational support. The investor continues to define the strategy and make the final investment decision independently.<\/p>\n

      Green Sigma believes conversational AI can reduce the learning barrier associated with quantitative investing and make advanced analytical tools more accessible to users across different experience levels.<\/p>\n

      Leadership Perspective<\/h2>\n

      \u201cOur mission is to help every investor think, analyse and invest through a structured process,\u201d said\u00a0Tamil Selvan S., Founder and CEO of Green Sigma.<\/p>\n

      \u201cRetail investors today do not suffer from a shortage of information. The greater challenge is converting information into a disciplined and repeatable investment framework. Sigma Scanner gives investors the infrastructure to define their own rules, test their ideas historically and manage their portfolios with greater clarity.\u201d<\/p>\n

      \u201cSigma AI further simplifies the experience by helping users understand investment concepts and platform metrics. Our objective is not to make decisions for investors, but to equip them with the tools and knowledge needed to take greater ownership of their investment process,\u201d he added.<\/p>\n

      Building an Integrated WealthTech Ecosystem<\/h2>\n

      Green Sigma\u2019s long-term vision extends beyond developing a standalone stock-screening application.<\/p>\n

      The company is building an integrated WealthTech ecosystem that brings together stock discovery, quantitative scoring, strategy validation, portfolio construction, periodic rebalancing, broker-connected execution and investor education.<\/p>\n

      Since its initial rollout, more than\u00a012,000 users have experienced Green Sigma\u2019s ecosystem\u00a0through its products, webinars, investor communities and educational initiatives, according to the company.<\/p>\n

      Green Sigma believes this growing participation reflects increasing interest among Indian retail investors in systematic, data-driven and technology-enabled approaches to investing.<\/p>\n

      The company plans to continue enhancing Sigma Scanner with deeper analytics, improved portfolio-management capabilities, expanded broker integrations, additional strategy-building tools and more advanced AI-powered assistance.<\/p>\n

      Its broader philosophy,\u00a0\u201cYour Portfolio. Your Strategy. Your Rules,\u201d\u00a0reflects the company\u2019s focus on enabling investors to develop an investment process suited to their individual objectives, preferences and risk tolerance.<\/p>\n

      About Green Sigma<\/h2>\n

      Green Sigma is a Chennai-based WealthTech company focused on building intelligent and accessible investment technology for retail investors.<\/p>\n

      Its flagship platform, Sigma Scanner, combines rule-based stock discovery, customizable scoring models, momentum investing, historical backtesting, portfolio construction, periodic rebalancing and broker-connected trade execution within a unified investment ecosystem.<\/p>\n

      Powered by Sigma AI, Green Sigma helps users understand investment concepts, evaluate historical strategies and follow a more structured, data-driven investment process.<\/p>\n

      Media Contact<\/h2>\n

      Green Sigma<\/strong>
      Company Website: https:\/\/www.greensigma.in
      Product Website: https:\/\/www.sigmascanner.in
      Email: support@greensigma.in
      Phone: +91 81221 72424 \/ +91 85239 53368<\/p>\n

      If you object to the content of this press release, please notify us at pr.error.rectification@gmail.com. We will respond and rectify the situation within 24 hours.<\/em><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

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