From Dashboards to Decisions: Scalar Field and the Future of Trading Terminals

For decades, trading terminals like Bloomberg and FactSet have dominated financial desks globally. These platforms provide a vast array of data—charts, news, macroeconomic indicators, financial fundamentals—but they’re essentially sophisticated dashboards. They show the data; they don’t help you think with it.

Traders, analysts, and investors often approach these terminals with a hypothesis in mind, consciously or not. They might suspect a correlation between macroeconomic trends and stock prices, or they might want to test whether a spike in ETF flows impacts small-cap performance. Yet, the terminals they use aren't built to help validate these hypotheses. They're static, passive, and reactive.

Scalar Field was born to solve this exact disconnect: to create a terminal that doesn’t just display data but actively works with the user to test, validate, and even act on market ideas in real time. In short, Scalar Field is building the thinking terminal — a tool that goes beyond observation to assist in decision-making.

Who are the minds behind Scalar Field?

Scalar Field was founded in 2025 by Amandeep Singh, a former trader at Tower Research and Goldman Sachs, and Ramakant Yadav, a seasoned engineering leader who previously worked at Microsoft.

Together, they bring decades of experience at the intersection of finance and technology. Aman understands firsthand the frustrations and limitations of existing trading platforms. Ramakant, with his background in leading complex engineering teams, complements that perspective with deep technical expertise. Their combined vision is clear: to build a new category of intelligent financial tools for the modern trader.

This is not a theoretical project or a hopeful beta—Scalar Field is already in action. With a small but powerful team of three, they’ve launched a product with measurable traction, including 800+ paying traders, 34,000+ signups, and $74,000 in monthly revenue.

How does Scalar Field work?

At its core, Scalar Field is an AI-powered trading terminal built around intelligent agents — autonomous, goal-oriented software entities that can analyze, act, and learn.

Unlike traditional terminals that simply present the data, Scalar Field allows users to:

Spin up custom agents that respond to market events and real-time changes
Run compute-heavy backtests using data from multiple asset classes (equities, ETFs, macros, alternative data, etc.)
Persist research memory across sessions, enabling seamless continuation of market investigations
Chain logic-based workflows, so one event (like ETF inflow spikes) can trigger multi-layered responses (e.g., identifying affected sectors, surfacing trade ideas)

Imagine a terminal that doesn’t just let you observe a trend—it alerts you when a trend begins, tells you why it matters, and recommends what to do next. Scalar Field empowers that kind of workflow by making hypothesis validation a native feature of the platform.

It turns what used to be a manual, multi-platform process into a unified and interactive experience.

Why is this different from Bloomberg or FactSet?

Bloomberg and FactSet revolutionized financial data access—but they were built for a different era.

Their interfaces assume that the user will do most of the analytical heavy lifting. They offer data in neatly arranged dashboards and expect the user to pull out the insights. While powerful, these terminals are static tools in a dynamic world. They don’t adapt or respond to the user’s intent in real time.

Scalar Field flips that model.

It’s not a dashboard — it’s an AI coworker.

By embedding intelligent agents at the heart of the experience, Scalar Field transforms a passive tool into a proactive collaborator. Whether it's identifying unusual options activity, flagging macroeconomic shifts that align with your portfolio’s risk profile, or suggesting countertrend trades based on real-time indicators, Scalar Field acts like a second brain for the modern investor.

What can users do with Scalar Field today?

Scalar Field isn’t a concept — it’s a working product with tangible features available to users now. Traders, analysts, and institutional researchers can:

Test market hypotheses on demand: Instead of cobbling together spreadsheets and data sources, they can simply describe the idea, and an agent begins testing.
Backtest across multiple data sources: Not limited to price movements — Scalar Field agents can process fundamentals, earnings reports, ETF flows, macro data, and alternative datasets.
Automate trades based on logic chains: Set up criteria and let agents monitor live data feeds to trigger trades when the strategy aligns.
Stay in context between sessions: Research isn’t lost or forgotten — agents remember what users were working on, enabling long-term investigations and iterative refinement.
Build complex agent workflows: Users can stack hypotheses and build workflows like: “If inflation beats expectations and consumer sentiment drops, highlight short opportunities in the retail sector.”

This is more than convenience. It’s a fundamental rethinking of how financial research and trading are done.

Who is Scalar Field for?

While the long-term vision includes institutional finance, Scalar Field is starting with a focus on advanced retail traders. These are users who already operate at a professional level—often managing their own portfolios or working in boutique trading firms—but lack access to the deep infrastructure of big banks.

By targeting this segment first, Scalar Field is able to build credibility, learn from high-frequency feedback loops, and iterate quickly.

But make no mistake: this is an enterprise-grade platform in the making. The foundational elements—agent orchestration, data pipeline abstraction, and backtesting infrastructure—are all designed to scale to hedge funds, asset managers, and institutional desks.

Why now?

AI is reshaping every industry, and finance is no exception.

While quant firms and HFT players have long had proprietary tooling to analyze and act on market data, the broader financial world is only beginning to adopt intelligent systems. Scalar Field is at the forefront of this transformation.

The market is primed: The rise of retail trading, increased data accessibility, and AI-native workflows have created a demand for tools that go beyond static analysis. Scalar Field meets this moment by delivering an AI-native terminal tailored for hypothesis-driven exploration.

With the backing of Y Combinator and a wave of early user traction, Scalar Field is well-positioned to become a critical player in the future of trading infrastructure.

What’s next for Scalar Field?

With a solid base of paying users and growing revenue, Scalar Field is focused on expanding its capabilities and deepening its agent framework. The roadmap includes:

Integrating more data sources (crypto, private markets, global macros)
Launching an enterprise version tailored for institutional finance
Improving agent natural language capabilities for easier setup and workflow chaining
Adding collaborative features to let teams build and share hypothesis-driven research

As AI continues to evolve, Scalar Field is committed to staying ahead of the curve — blending human intuition with machine intelligence in a way that empowers every trader to think faster, deeper, and smarter.

Conclusion: Is Scalar Field the future of trading?

Scalar Field isn’t just reinventing the terminal — it’s redefining how we interact with markets.

By replacing static dashboards with intelligent, proactive agents, it transforms hypothesis validation from a tedious chore into a streamlined, dynamic process. With its sharp product vision, experienced founders, and early market traction, Scalar Field stands at the cusp of a financial revolution.

In a world awash with data, Scalar Field provides what traders need most: insight, action, and intelligence — on demand.