QCAlpha

Mumbai, India Founded: 2019 • Age: 7 yrs
Builds automated trading systems for stock market volatility opportunities.
Annual revenue $234,314 Latest available
Total funding - Funding intelligence
Employees - Tracked headcount
Investors - Known backers
Products 2 Services tracked
Competitors 11 Brand Intelligence

About QCAlpha

QCAlpha is a company based in Mumbai (India) founded in 2019 by Tanmay Kurtkoti, Alok Dharia, and Prashant Mullick. It operates as a B2B. QCAlpha offers products and services including Volatility Trading Systems and Automated AlgoTrading Platforms. QCAlpha operates in a competitive market with competitors including GAIN Capital, Capitolis, M-DAQ, ION Group and Nasdaq Private Market, among others.

  • Headquarter Mumbai, India
  • Founders Tanmay Kurtkoti, Alok Dharia, Prashant Mullick
  • Sectors
    Technology
  • Email
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  • Phone
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  • Website
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  • Social
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  • Legal Name Qcalpha Advisers Private Limited
  • Date of Incorporation 14 Aug, 2019
  • Jurisdiction Pune, Maharashtra, India
Operational Areas
Technology → Marketing, Adtech & Commerce Technology Unlock Sub-Sector Unlock Segment
Key Metrics
  • Annual Revenue
    $234.31 K (USD)
    438.24
    as on Mar 31, 2023
  • Net Profit
    $52.23 K (USD)
    612.81
    as on Mar 31, 2023
  • EBITDA
    $83.17 K (USD)
    916.61
    as on Mar 31, 2023
  • Latest Funding Round
    Not available
  • Investors
    Not available
  • Employee Count
    Not available
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Products & Services of QCAlpha

QCAlpha offers a comprehensive portfolio of products and services, including Volatility Trading Systems and Automated AlgoTrading Platforms.

Product name locked
Category locked
Primary

Automates trading of market volatility using quantitative models

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Provides end-to-end automation for data, signals, and risk management

Funding Insights of QCAlpha

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Detailed funding history for QCAlpha

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Investments & Acquisitions by QCAlpha

Investments
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Investment portfolio details for QCAlpha

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Financial Statements - QCAlpha

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Detailed financials for QCAlpha

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Qcalpha Comparisons

QCAlpha Primary company
Description
Builds automated trading systems for stock market volatility...
Location
Mumbai, India
Founded Year
2019
Annual Revenue
$234.31 K (USD)
Net Profit
$52.23 K (USD)
EBITDA
$83.17 K (USD)
Employees
Not available
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Peer comparison for QCAlpha

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Competitors of QCAlpha

QCAlpha operates in a dynamic and competitive business environment, facing competition from various established players and emerging companies in the market. The competitive landscape includes prominent companies such as GAIN Capital, Capitolis, M-DAQ, ION Group and Nasdaq Private Market, among others.

Company Name Domain Founded year HQ Location Description
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White-label front-end trading solutions for capital markets are provided.
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Trade management solutions are provided for investors in capital markets.
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Trade management solutions are provided for cross-border investor activities.
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Treasury management solutions are provided for financial institutions and banks.
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White-labelled software for private market investments is provided to organizations.
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Financial software solutions for lending, payments, and banking are provided.
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Detailed competitors of QCAlpha

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Latest news on Qcalpha

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Complete news archive for QCAlpha

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Frequently Asked Questions about QCAlpha

QCAlpha was founded in 2019.

QCAlpha is headquartered in Mumbai, India. It is registered at Mumbai, Maharashtra, India.

Annual revenue of QCAlpha is $234.31K as on Mar 31, 2023.

QCAlpha is a financial technologies firm that creates quantitative directional and non-directional automated trading systems for Indian and global capital markets. They use proprietary statistical models to exploit market volatility, focusing on non-linear payoffs and risk management through extensive backtesting. Based in Mumbai, they provide end-to-end automation for data ingestion, signal generation, and smart order execution, serving clients in volatility trading environments.

QCAlpha's top competitors include Capitolis, Halo Investing and M-DAQ.

QCAlpha offers Volatility Trading Systems and Automated AlgoTrading Platforms.

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