Scalar Field GTM brain

Scalar Field offers traders and investment firms an AI agentic trading platform for research, backtesting and brokerage-connected execution.

category

Agentic trading platforms

market profile

  • text: Trading workflows span market data, research, strategy testing, monitoring and execution across distinct venues.
  • text: The product targets both individual platform users and firms needing custom deployments and integrations.

personas

  • title: Independent systematic trader
    pains:
    • Moving trading ideas between research tools, backtests and a broker
    • Monitoring many market signals continuously
  • title: Portfolio manager or fund research lead
    pains:
    • Testing hypotheses across fragmented financial data
    • Operationalizing strategy monitoring and execution while retaining oversight
  • title: Investment firm technology lead
    pains:
    • Connecting proprietary data and broker APIs securely
    • Controlling access and deployment of trading tools

icp

  • text: Active US market participants who research and test systematic strategies and use supported brokerages.
  • text: Firms and funds needing private workspaces, tailored limits, broker integrations or private cloud deployment.

message pillars

  • text: Bring research, testing and trading together.
  • text: Monitor and automate trading strategies.
  • text: Support institutional deployment requirements.

objections

  • objection: Can it connect to the brokerage and data we already use?
    response: Review supported retail connections and enterprise custom brokerage and data integration options.
  • objection: Can the firm control access and deployment?
    response: Enterprise lists private workspaces, SSO, RBAC and private cloud options; confirm implementation details.
  • objection: Can backtest results guarantee future returns?
    response: No; the company explicitly states past performance does not guarantee future results.

competitors

  • name: AnyAlpha
    why: Agentic trading platform offering data, backtests and live trading.
  • name: Elastics
    why: Uses agentic AI to automate trading workflows with market data.

influencers

  • name: Ramakant Yadav
    url: https://www.expresscomputer.in/guest-blogs/beyond-llms-what-it-takes-to-build-reliable-infrastructure-for-agentic-trading/138829/
    why: Co-founder writing publicly about agentic trading infrastructure.

keywords

  • agentic trading platform
  • AI trading agent backtesting
  • automated trading strategy builder
  • AI market research platform
  • brokerage connected trading agents
  • quant strategy backtesting

voice

  • ambitious and future-oriented
  • technical and market-specific
  • direct

signals

  • text: A trading team is evaluating automated strategy testing and live brokerage integration.
  • text: A fund needs to bring proprietary market data into a private AI research environment.

stack

  • Robinhood
  • Alpaca
  • Public.com
  • Polymarket
  • Python

pricing

model: unknown

motion

hybrid

channels

  • SEO
  • X
  • Discord
  • founder content

confidence

medium

Founders

  • name: Amandeep Singh
    title: Founder/CEO
    role: CEO
    bio: An ex-trader building the future of trading terminals.
  • name: Ramakant Yadav
    title: Founder/CTO
    role: CTO
    bio: Building the new era of agentic trading

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