Context
Compare decisions made under comparable conditions.
Strategy, session, market condition, direction, and instrument narrow the history before a descriptive expectation is shown.
Broader history is used when an exact context is too small.
Behavioral decision intelligence
Measure decisions.
Improve execution.
Actumetry reconstructs how a trade was planned, executed, and managed, then turns that process into evidence the trader can inspect and improve.
No signals. No predictions. No profit promises.
Illustrative Decision TraceDemo data / NQ
Reconstructed decision
Liquidity sweep reversal
New York open / balanced market
Planned entry
Actual entry
Exit captured
Context
NY open / balanced
Entry
5 points late
Profitable outcome
A winning trade can still be poorly executed.
A positive result does not erase late entry, excess risk, or an unplanned exit.
Supported process
A losing trade can still be a good decision.
Actumetry keeps opportunity, execution, and realized outcome separate.
One complete review
See the process your P&L leaves out.
Follow one illustrative decision from captured context to a specific improvement. The product carries the explanation; advanced mathematics remains one inspection away.
Decision ReviewIllustrative demo
NQ / New York open
Liquidity sweep reversal
Current reconstruction
Raw trade captured
Step 1
Raw trade captured
The trader records NQ, New York open, a balanced market, and the original setup.
Step 2
Decision reconstructed
The original thesis, confidence, checklist, and planned risk stay attached to the decision.
Step 3
Plan compared with execution
The actual entry arrived five points later than planned, creating a measurable 0.20R cost.
Step 4
Outcome kept separate
The trade finished at +0.80R. That result does not erase the captured execution difference.
Step 5
Comparable evidence connected
Forty-two prior decisions in comparable contexts support a descriptive historical expectation.
Step 6
One improvement becomes clear
Wait for the planned confirmation before entry when this setup appears in a balanced session.
Three questions, kept separate
Understand the decision before studying the engine.
Execution
Measure what changed between the plan and the fill.
Entry, exit, slippage, position size, and explicit execution events stay separate from ordinary outcome variance.
Missing fills remain unavailable instead of becoming false precision.
Trading profile
See which observable patterns persist over time.
Decision, risk, execution, context, behavior, and adaptation remain evidence dimensions rather than personality labels.
Every supported pattern links back to its metrics and trades.
Evidence Reveal
Conclusions assemble from evidence.
First the result. Then the sample, reliability, formula version, and contributing history for anyone who wants to inspect why it appeared.
Evidence assembled
+0.46R
Historical expectation
Comparable decisions in this context produced a positive descriptive average. This is not a prediction for the next trade.
Sample
42 trades
Reliability
Usable
Inspect evidence
Formula version
contextual-ev-v0.2 / demo
Evidence policy
Descriptive history, not a prediction
Formula transparency
Simple by default. Inspectable by design.
You never need to read the mathematics to use the product. You can always inspect the calculation when confidence matters.
historical context + measurable execution adjustments
= execution-adjusted expectation
Residual outcome variance remains separate from execution cost.
Privacy and security
Private by default.
Invite-only access
Authenticated, provisioned accounts with tenant-scoped data access.
Purpose-limited telemetry
Journal text, screenshots, tokens, and form values stay outside product telemetry.
Questions, answered clearly.
Does Actumetry tell me what to trade?
No. Actumetry does not provide signals, predictions, or trade recommendations. It measures your own decision and execution history.
How does Actumetry reach a conclusion?
Every supported metric includes its formula, variables, sample, reliability, calculation version, and contributing evidence.
What happens when there is not enough data?
Actumetry names the missing evidence and stays inconclusive. It does not replace missing history with an invented score.
Who is the private alpha for?
The private alpha is for discretionary traders willing to capture complete trades, review evidence, and give direct product feedback.
Invite-only private alpha
Help shape a more honest way to review discretionary trading.
We are inviting a small group of traders willing to capture complete workflows, challenge weak conclusions, and report rough edges.
See how the alpha worksRequest an invitation
Places remain intentionally limited while reliability and usability are validated.