Who buys it
Anyone running a signal-driven process who cannot currently explain why a past decision was made.
Business case
Signal monitoring and episode tracking
Who uses it
The operator watching signals during a session and reviewing them afterwards.
The problem
What this costs you today.
Raw event streams produce far more than a person can read. Without grouping, the operator watches a firehose and retains impressions rather than evidence.
Reviewing afterwards means reconstructing what was visible at the time from memory and fragments. That reconstruction is unreliable, which makes genuine post-session learning close to impossible.
The mechanism
What changes.
Events are grouped into capsules and capsules into episodes, so a session becomes a handful of followed situations rather than a scrolling log.
Each episode carries its probe values, so when something goes wrong the journal shows which signal failed to confirm, which is the part that improves the next session.
Decisions are journalled with the evidence visible at the time, and a replay key reconstructs the exact state behind any past episode.
Where the money is
Your numbers, not ours.
Defaults are illustrative placeholders. This tool monitors and journals; it does not execute anything.
Every figure above is arithmetic on the values you entered. Nothing is a measured result from a prior deployment, and no customer savings are claimed anywhere on this site.
The honest part
When not to buy this.
- Low event volumes a person can already follow directly.
- Where nobody reviews past sessions. The journal is the product, and an unread journal is worth nothing.
- If what you want is automated execution. There is deliberately no execution path.
Adoption
What it actually takes.
Prerequisites
A signal source that can be read reproducibly, so sessions replay identically.
Setup effort
Episode assembly rules and probe definitions are domain work and must be authored with the operator.
Ongoing cost
Rules need revisiting as the underlying process changes.
Engagement
How this would be delivered.
- Build against your signal store and hand over.
Caveat: This is monitoring and record-keeping. It makes no claim about the outcome of any decision taken, and it is not advice of any kind. Figures reportedly located for this product (80% alert reduction, 95% latency reduction, 95% whipsaw reduction) were checked against their source portfolio drafts and do not describe r9: the 80%/95% latency figures describe a separate signal-processing engine, and the whipsaw figure describes a different system's live execution/stop-loss engine, which r9 explicitly does not have. None of r9's own vocabulary (capsule, episode, gm_v9) appears in those drafts. No measured figure for r9 itself was found; this calculator stays illustrative.
Next step
Run the demo, then tell us your numbers.
The fastest way to test any of this is against your own volumes rather than the placeholders above.