Investment research & tools
Investment teams have more data than ever and less time to read it. ASTRA builds the research and risk tooling that turns the flood into decisions — continuously, and on a method you can repeat.
Risk monitoring, portfolio analysis, backtesting.
The challenge
Investment teams are awash in data — markets, filings, news, positions — but the signal is buried. Risk monitoring tends to be periodic, portfolio analysis is manual and backward-looking, and backtests are slow to set up and easy to get subtly wrong. Decisions end up made on stale or partial views, and the unstructured material that often carries the real signal goes under-read.
How we reframe it
We build the tooling that turns that flood into decisions — continuous risk monitoring, portfolio analytics, and rigorous backtesting, with AI reading the unstructured material (filings, news, disclosures) alongside the numbers. The methods are research-grade — capital markets is part of the AIFT research lineage — and the system is governed and accountable, running where your data already lives so nothing leaves your control.
The expected outcome
The aim is risk seen as it moves rather than at month-end, portfolio questions answered in minutes rather than days, and backtests you can actually trust — because the method and the data behind them are recorded and repeatable.
- Continuous risk monitoring instead of periodic snapshots
- Unstructured signal (filings, news) read alongside the numbers
- Backtests that are reproducible, not one-off
From input to a decision you can defend.
Bring the signals together
Market data, positions and the unstructured material are pulled into one place the system can read.
Monitor & analyse continuously
AI watches risk as it moves and answers portfolio questions on demand — not on a monthly cycle.
Test before you trust
Backtests run on a recorded method and data, so a result can be repeated and defended.
Across the ASTRA team and the AIFT research lineage. Client names available on request.