Analyse markets. Test strategies. Understand the risk.
Bring your research and trading into one connected workspace.
MEET YOUR WORKSPACE
A chart is a starting point. Bring the research, the data and the trading tools into the same picture — arranged around you.
Keep your charts, research and trading tools together. Shape a workspace around the decisions you make, with panels and tabs that let every view earn its place.
A MORE CONSIDERED PROCESS
Look beyond a single result. Move from a hypothesis to a backtest, explore the alternatives, and study how strategies fit together.
Run your strategy against historical data. Trace its equity and drawdown, inspect the individual trades and revisit the parameters behind the result.
Explore parameter ranges with grid, adaptive-grid or genetic search. Examine candidate results and sensitivity to understand how a strategy responds to change.
A strategy's place in a portfolio is a question of its own. Blend the daily-close returns of saved runs, explore allocations and inspect the risk behind the combined picture.
Research informs decisions. Historical and simulated results do not guarantee future performance.
UNDERSTAND THE EXPOSURE
Look beyond a return curve. Explore the factors behind an equity portfolio, the relationships between its parts and the assumptions behind an exit.
Choose a factor model and analyse an equity allocation, current holdings or a saved strategy result. Trace exposures and contributions, then explore how the model responds to different scenarios.
Equity portfolio analysis · exposures, contributions and assumptions in view
Inspect factor, asset and residual relationships from an immutable model snapshot. Explore daily, annualised and horizon-scaled matrices, with the units and saved context retained.
Use traded-volume participation and stress assumptions to explore capacity, liquidation horizons and hypothetical spread and impact costs. See the missing or excluded inputs alongside the estimates.
Save named, dated risk runs. Compare portfolio exposures with a benchmark, review active exposures and revisit the inputs behind a result.
Risk and liquidity outputs are modelled estimates. Historical relationships, proxy coverage and volume assumptions affect the results.
A HOME FOR EACH PART OF YOUR PROCESS
Save the setup for a market watch, a research session or a trading day.
Switch between named workspaces; on desktop, keep several open together.
Save named workspaces, duplicate a starting point, and import or export layouts with their relevant chart and screener definitions.
On macOS and Windows, have several workspaces open concurrently. Keep market watching, research and execution ready in native tabs and windows.
Organise independent charts, research and trading tools in tabbed panel stacks. Explore result subtabs, with instrument and timeframe links where you want them.
The browser keeps these tools in one window. On macOS and Windows, spread native windows across displays and move tabs or panels between them.
NATIVE DESKTOP / macOS & WINDOWS
Keep a market view on one screen and research on another, with native windows that remain part of your workspace.
A dedicated view of AMM's native windows will be added here.
Planned screenshotTHE DETAILS ADD UP
From organising a market universe to distributing a research run, AMM connects the tools behind a trading workflow.
Price charts, indicators, drawing tools, templates and historical trade overlays.
Configurable market tables, indicator columns and alerts that help you follow what matters.
Historical strategy runs, detailed reports and manual forward-testing workflows.
Grid, adaptive-grid and genetic search, with candidate results and sensitivity analysis.
In-sample and out-of-sample windows, plus runs across strategies and instruments.
Strategy selection, allocation analysis, combined results and factor risk inspection.
Exposures, modelled volatility and VaR, risk contributions, stress scenarios and validation.
Inspect factor, asset and residual relationships in immutable, dated model snapshots.
Volume participation, capacity, exit horizons and hypothetical spread and impact costs.
Reusable instrument groups, historical downloads and data coverage tools.
Order tickets, account activity and position monitoring alongside your market views.
Depth of market, depth charts, time and sales, and recording and replay workflows.
Save, duplicate, import and export layouts. Open several concurrently on macOS and Windows.
Arrange independent tools, link instruments and move panels across your desktop.
Extend your research with strategy and indicator plugins, guides and reusable templates.
Automate through REST and local MCP, with configured workers for research jobs.
Keep configured strategy instances, live portfolio activity and execution audit in view.
Follow indicator conditions with saved background alerts and notification history.
Economic events, exchange sessions, holidays and market hours beside your charts.
Configure market data and execution connections for the instruments and accounts you use.
CONNECTED TO YOUR MARKETS
Data and execution capabilities depend on the venue, account permissions and feed entitlements.
A LITTLE MORE CONTEXT
A closer look at the platform
and the research behind a decision.
AMM is a trading and research platform that brings market charting, strategy backtesting, parameter optimisation, portfolio analysis and trading tools into a flexible workspace. You can arrange tools in panels, tabs and separate windows to suit the way you work.
Yes. Charts, indicators, drawing tools, screeners and order management support discretionary workflows. Strategy backtesting, optimisation, walk-forward testing and portfolio research support systematic research. Both can share the same workspace.
Choose a strategy, instruments, a historical period and its parameters, then run a backtest. Inspect the report, equity, drawdown and individual trades. Optimisation explores parameter combinations, while walk-forward testing separates training and evaluation windows.
Combine the daily-close returns of saved strategy runs, explore strategy selection and allocations, and examine the resulting portfolio metrics and factor risk. This helps you study combinations of research results. Running a live portfolio is a separate execution workflow.
Explore factor exposures, factor and residual contributions, modelled volatility and VaR, covariance and correlation, stress scenarios, rolling validation and data coverage. Save a dated risk run and compare its exposures with a benchmark. The results depend on the selected model, proxies and available history.
AMM uses traded-volume history and your participation and stress assumptions to estimate capacity, liquidation horizons and hypothetical exit costs. It shows excluded or missing inputs so you can assess the basis of the result. Actual executable liquidity, timing and costs can differ from these modelled estimates.
AMM has desktop workspaces on macOS and Windows, including native multi-window layouts. The browser client provides a single-window workspace. Market data, research and execution use your configured AMM server and connected feeds.
Save a panel arrangement as a named workspace and switch between saved layouts. Panels and results have tabbed views. The browser uses a single active workspace in one window. On macOS and Windows, you can keep multiple workspaces open concurrently, organise their internal workspace tabs and move tabs or panels between native windows.
No. Historical and simulated results do not guarantee future performance. Data quality, assumptions, trading costs, execution conditions and overfitting all affect how research translates to real markets. Trading involves risk, including loss of capital.
