The studio & marketplace for quant trading agents

Describe a strategy. Deploy an agent.

Write your trading idea in plain English. QuantSpot turns it into a strategy, backtests it honestly, and runs it as an agent on your own portfolio. No idea of your own today? Rent an agent that another quant has built and proven.

Private beta. We are onboarding strategy builders first.

studio / new-agentbacktest
you ›
AgentBenchmarkDrawdownin-sample │ out-of-sample
Illustrative simulation. Not real or expected performance.
One platform, two ways in

Build your own edge,
or rent someone else's.

Quant work used to need a research stack, a data budget, a backtester and an execution engine. QuantSpot puts the whole pipeline behind one conversation, and adds a marketplace so good strategies can find capital.

The Studio · for builders

From idea to live agent in an afternoon.

Talk through your thesis like you would with a research partner. The Studio writes the logic, shows you every assumption, and lets you edit the code directly when you want control.

  • Natural-language strategy design, with readable code you own
  • Backtests that include fees, slippage and out-of-sample checks
  • Paper trading before any real money moves
  • Connect to your brokerage or exchange account and deploy
The Marketplace · for allocators

Put proven agents to work on your portfolio.

Browse agents built by other quants. Compare them on the same standardized report, pick the risk you can live with, and subscribe. The creator's code stays private. You get the execution.

  • Every listing shows backtest, out-of-sample and live history side by side
  • Set your own position limits and a hard drawdown stop
  • Pause or cancel an agent at any time
  • Creators earn when their agents work for you
How it works

Four steps from a sentence
to a running agent.

You stay in charge at every step. Nothing trades with real money until you have seen the backtest, run it on paper, and switched it on yourself.

01 / Describe

Say what you believe.

Explain the market behaviour you want to trade. The Studio asks follow-up questions until the rules are exact.

"Buy the 10 most oversold
S&P 500 names each Monday.
Exit after 5 days or −4%."
02 / Backtest

Test it honestly.

Run it over years of data with realistic costs. QuantSpot holds back recent data so you can see how the idea does on history it never saw.

period   2015 → 2025
costs    5 bps + slippage
holdout  last 24 months
03 / Deploy

Run it as an agent.

Start on paper. When you are ready, connect your account, set limits, and let the agent execute and report back to you.

mode      paper → live
max pos   8% per name
kill at   −15% drawdown
04 / Share

List it, if you like.

Publish your agent to the Marketplace. Others subscribe to it and you earn from its use, without ever exposing your code.

listing   public
code      private
pricing   set by you
Inside the Studio

A research desk,
without the desk.

The tools a small quant team would build for itself, ready on day one. Items marked In development are on the roadmap and not in the beta yet.

Plain-language design

Describe rules in English. Read and edit the generated code whenever you want precision.

Honest backtests

Fees, slippage, survivorship-free universes and a held-out test period are on by default.

Paper trading

Run any agent on live market data with simulated money before it touches your capital.

Guardrails you set

Position caps, daily loss limits and a hard drawdown stop that the agent cannot override.

Account connections In development

Link brokerage and exchange accounts through revocable API keys. Your funds stay in your account.

Portfolio of agents In development

Run several agents together and see combined exposure, correlation and risk in one view.

The Marketplace

Strategies with a track record,
not a sales pitch.

Every agent is listed on the same standardized report, so you compare like with like. Backtest, out-of-sample and live results sit next to each other, and live results always win the argument.

Sample listings to show the format. Names, creators and figures are illustrative and do not describe real agents or results.

Listing standard

What every agent must disclose.

  1. Backtest window and costsThe exact period, universe, fees and slippage used.
  2. Out-of-sample resultsPerformance on data the strategy never saw while it was built.
  3. Live track recordReal results since the agent went live, updated automatically.
  4. Worst drawdownThe deepest peak-to-trough loss, shown as prominently as the return.
  5. Capacity and turnoverHow much capital the idea can absorb, and how often it trades.
  6. PricingWhat the subscription costs, with no hidden performance fees.
For strategy creators

Rent the agent.
Keep the alpha.

You spent months on that signal. Listing on QuantSpot lets other people run your agent on their own accounts while your code, parameters and data stay locked on your side.

Apply as a creator
Creator
Strategy logic, parameters, data. Private.
↓ runs inside QuantSpot
Agent
Produces orders within each subscriber's own limits.
↓ executes on
Subscriber
Their own account, their own risk settings. They see trades and results, not code.
↓ earns
Creator
Subscription revenue from every account that runs the agent.

Every quant starts with an idea. Most never get the infrastructure to test it.

QuantSpot is that infrastructure

FAQ

Straight answers.

Do I need to know how to code?

No. You can build a complete strategy in plain English. The Studio still shows you the code it writes, so if you do code, you can read it, change it and trust it.

Does QuantSpot hold my money?

No. Agents are designed to trade through your own brokerage or exchange account, using API access that you grant and can revoke at any time. Account connections are still in development during the beta.

How do I know a Marketplace agent is any good?

You judge it on the listing standard: backtest, out-of-sample and live results, reported the same way for every agent. We put the worst drawdown next to the return so the risk is never hidden. Past results, including backtests, do not predict future returns.

Can a subscriber copy my strategy?

Subscribers see the trades your agent makes on their account and its reported results. They never see your code, parameters or data.

What markets are supported?

The beta focuses on liquid US equities, ETFs and major crypto pairs. Tell us what you trade when you join the waitlist. That list decides what we add next.

Is this investment advice?

No. QuantSpot provides software tools. You decide what to build, what to subscribe to and what to run. Trading involves risk of loss.

Your next strategy
starts as a sentence.

Join the private beta. We are letting builders in first, then opening the Marketplace to allocators.

We only email you about access. No spam, no sharing your address.
You are on the list. We will email you when your spot opens.