/

Research · Build · Backtest · Deploy · Monitor

AI-Native Quant Infrastructure for Portfolio Managers

Say the idea in one sentence; the platform turns it into a backtested strategy or factor, for crypto and US stocks, with every step in view.

Try the agent7 capabilitiesGet allocated on PM.finance

Built for every kind of quant

The AI quant workbench for funds, independent PMs and individual quant enthusiasts: minute-level data for medium- and low-frequency strategies.

Independent PMs and small quant teams

No infrastructure to build: data, backtests and paper trading out of the box, for crypto and US stocks, so one person can run a full quant research process.

Family offices and fund PMs

An institutional process for rule-based strategies: every version traceable, out-of-sample checks in tuning, and stop-losses, leverage caps and one-click flattening throughout.

Quant enthusiasts

No coding needed: say the idea in one sentence, the agent writes the code, the platform backtests and checks it, then it runs on paper.

What you can use today

From research to paper trading, these 7 capabilities are in place today.

Agent

One conversation for all your quant work.

Factor library

Ideas written as factors, tested and reviewed into the library.

Research

Upload a paper; the agent reads out ideas and writes factors.

Strategy library

Every version kept, to reopen and re-run.

Data

Crypto and US stock data built in; bring your own too.

Paper trading

Strategies step through live markets, bar by bar.

Skill library

A playbook for every strategy family.

Three lines, each building on the next

Six steps each for strategies and factors, three for research; every step says who does it — judgement goes to the agents, validation and backtests run on the platform by themselves.

Strategy

from a sentence to a backtested strategy

01
  1. State the request
  2. Parse it into a specification
  3. Load the skill pack
  4. Write the module
  5. Gates, then the backtest
  6. Report, analysis, tuning, library

Factor

from an idea to a factor a strategy can reference

02
  1. Say the idea
  2. Written as a formula
  3. You confirm
  4. The platform runs the four gates
  5. Reading and review
  6. Promote and use

Research

from a document to ideas that can be tested

03
  1. Add a document
  2. A research note
  3. Ideas into factors

Nine steps, one platform

From research to monitoring, nine stages run as one line on one platform — data, backtesting, paper trading, execution and risk included, nothing bolted on.

Research and build

  1. 01Research
  2. 02Data
  3. 03Strategy Development

Validate and deploy

  1. 04Backtesting
  2. 05Simulation
  3. 06Deploymentplanned

Execute and monitor

  1. 07Executionpartly live
  2. 08Riskpartly live
  3. 09Monitoringpartly live

One platform

Start with one sentence.

Pick a template or write down your first idea; minutes later the strategy, its code and the backtest report are waiting in the same conversation.

Try the agent7 capabilities