Get started

Build strategies.
Advise clients.

Pyon strategy workspace

Pyon Quant tests a trading idea before you trade it.

Describe a strategy in plain English, and Pyon drafts it as a graph you can edit, backtests it on adjusted history and explains the result. Your own AI agent can do the same through the Pyon MCP server.

Describe the rule. See the strategy.

Tell the Pyon agent what you want to test. It drafts the trigger, the condition, both outcomes and the exit as a graph you can edit.

Example request to the Pyon agent
“Buy AAPL when RSI(14) falls below 30. Exit above 70. Define the position size.”
Explore the builder

Illustrative workflow. Review every rule before testing or trading.

Trigger

Market open

Condition

AAPL RSI(14) < 30

If true

Enter with a defined position size

If false

No entry

Exit rule

AAPL RSI(14) > 70

The trigger, both outcomes, and the exit stay visible before testing.

Test the rule. Understand the result.

Backtests run on split-adjusted history, check each rule before a run, and explain what happened, including when a strategy never traded.

History adjusted for splits.

A split changes the quoted price overnight. Adjusted history keeps the series continuous, so the change is not read as a gain or a loss.

split
Adjusted history Unadjusted exampleIllustrative paths, not market data.

Catch the impossible before a run.

RSI(14) > 120

RSI is bounded from 0 to 100. An out-of-range threshold is flagged before it becomes a strategy that never fires.

Model fields and position size are reviewed too.

0 trades can be a useful result.

The backtest can report which entry condition blocked trades and the values it observed in that window.

entry gateobserved condition never passed

Illustrative diagnosis, not a backtest result.

Read risk in the right context.

Strategy backtest
Drawdown, Sharpe ratio, win rate, and profit factor.
Portfolio tear sheet
Sortino ratio, VaR and CVaR, monthly returns, and correlation matrix.

Train a model. Add its signal to a strategy.

Choose market features, train on historical data, and review the signal before using it as a condition.

Choose market inputs.

Five illustrative inputs feed one target, the forward five-day return.

returns_5dRecent price movement
rsi_14Momentum
vol_20Volatility
sma_ratioTrend
volume_zUnusual volume

Five market inputs One illustrative target: forward five-day return

Illustrative walkthrough. Sample values are not a live training run or investment results.

Give your agent the tools to test an idea.

Connect an MCP client to Pyon. Your agent can work through a strategy and return results for you to inspect.

Connect from the client you already use

Codex
  • Market data
  • Strategy building
  • Backtesting
  • Diagnostics
Pyon MCP on GitHub

One request. The tools to work through it.

Your request

Build a momentum basket on AAPL, MSFT and NVDA. Backtest it, then tune it.

  1. create_strategy

    Draft strategy graph returned

  2. run_backtest

    Simulation complete; trades and risk available to inspect

  3. diagnose_strategy

    Entry conditions and execution reviewed

  4. optimize_strategy

    Candidate parameters compared

Review the results in Pyon before deciding what to run.

Connect your agent.

Create an API key under Account in Pyon, then add the MCP server to your client.

Open Pyon to create a key

One command in your terminal:

claude mcp add pyon -e PYON_API_KEY=pyk_your_key -- npx -y pyon-mcp

This sequence illustrates MCP tool use. It is not a live strategy run.

Pyon Wealth runs each client file from fact-find to review.

Pyon Wealth is for financial advisers. Each client's answers, the figures that follow from them and your advice live in one file, which reports, reviews and Consumer Duty records all draw on.

Every client on one map.

Each client opens as a map of their file. Every card, from reviews and risk to pensions and vulnerability, shows where that part stands and opens the work behind it.

The Pyon Wealth client map for an invented client, with a card for each part of their file

Screens show the Pyon Wealth app with invented clients.

A fact-find that does the sums.

Ask one question at a time or show them all on one page. Answers already on file are filled in, so clients only tell you what has changed.

The Pyon Wealth fact-find, filled in for an invented client

Clients answer by link or with you.

Send a secure link to answer at home, or fill the fact-find in together during the meeting.

Each answer feeds the file.

Pyon works out figures such as take-home pay, emergency-fund months and time horizon from the answers.

Suggestions wait for you.

Anything Pyon infers stays a suggestion until you confirm it with the client.

Plans and reports from the same file.

Goals are tested against the client's cashflow plan, and the suitability report drafts from the same figures, so nothing is copied across by hand.

Goals against the plan

See whether each goal is met on the median path and on a poor run of markets, and run a cashflow simulation with platform, fund and adviser charges split out.

Goals against the plan in Pyon Wealth for an invented client, each tested on the median path and a poor run of markets

Suitability reports

Generate a draft from the file, write your rationale for each goal, finalise it with your firm's branding, and send it for the client to read and confirm.

A draft suitability report in Pyon Wealth for an invented client

Pensions, tax and Consumer Duty in one place.

The work that often sits in separate spreadsheets lives on the same client file, ready for the next review or file check.

Clients list past employers through a secure link, and Pyon suggests the scheme each one points to. One signature covers a letter of authority for every scheme, which you print, send and track until the provider replies.

The Pensions tab in Pyon Wealth for an invented client, with traced pots and their charges

Research and market notes.

All articles

Loading articles…