Human decision gates
ProbeAlpha proposes and validates. Your team decides — select, modify, reject, or abstain.
Private access For portfolio managers, traders, and analysts
The AI-native discovery engine for active investing.
Preliminary idea Investment view Trade expressions
A rough idea in. A decision packet out. ProbeAlpha turns a preliminary idea into a structured investment view and competing trade expressions, backed by point-in-time validation, explicit risks, and monitoring. Every decision and outcome becomes evidence for the next cycle.
“The market is pricing cuts but the long end isn’t buying it. Is there a steepener worth structuring?”
- Investment view Front end reprices first; the long end stays pinned
- Trade expressions 2s10s futures · SOFR calendar · conditional options
- Validation Point-in-time backtest across prior easing pivots
- Risks Exit if core inflation momentum re-breaks higher
- Monitoring Market, narratives, sentiment, key releases
- Memory update Lessons tied to the recorded outcome
The problem
Random ideas are everywhere. Good views and trades are few.
Investment professionals should not have to queue for desk-quant support to test every preliminary idea. ProbeAlpha gives portfolio managers, traders, and analysts a self-serve, auditable validation workflow—so they can move from an initial view to decision-ready evidence without another handoff.
- Propose and validate in plain language — no translation loop
- Automated validation from a rigorous backtesting engine
- Evidence a non-coder can audit, question, and iterate
Quant-grade idea validation for every PM, trader, and analyst.
How it works
Every hypothesis becomes a testable experiment.
One auditable workflow from rough observation to recorded outcome — with a human decision at every gate.
- Preliminary idea Market observation
- Investment view Thesis and drivers
- Trade expressions Competing candidates
- Validation Point-in-time evidence
- Decision The human gate
- Outcome P&L and post-mortem
- Evidence-backed memory Every outcome is recorded for the next related run
Human-in-the-loop by design — the workflow preserves key assumptions, evidence, decisions, and outcomes in an auditable trace.
Self-improving memory
Memory that generalizes — not memory that repeats.
Markets are non-stationary: yesterday’s winner is not a signal. Outcomes don’t transfer — process lessons do. Reviewed lessons enter the next related run as checks, falsifiers, and priors.
- What the analysis missed becomes a standard check
- An unforeseen risk becomes tomorrow's falsifier
- Expression fit by view type becomes a prior
Built for the buy side
Deployed the way finance requires.
Point-in-time discipline
Evidence is built on as-of data with explicit lags and caveats, so validation reflects what was knowable.
An auditable trace
ProbeAlpha preserves key assumptions, evidence, decisions, and outcomes in an auditable record.
Your research stays yours
Decision records and lessons are customer-owned and exportable, deployed the way finance requires.
Toward research that compounds.
Funds get better because ProbeAlpha preserves how decisions were made, what was rejected, and what actually happened. It gives discretionary global macro and cross-asset teams an auditable, self-improving research loop across FX, rates, and equities — starting with the workflow they run every day.
- contact@probealpha.ai
- Location
- Singapore