01→
Observe
Capture decisions, market context, runtime health, and policy metadata as inspectable events.
GroveX public systems proof
Finance Feedback Engine
A living technical showcase for building trading-system feedback loops with production discipline: audit trails, typed decision contracts, replayable evidence, and experiment gates for evaluating changes before promotion.
Decision events
Typed
Contracts make every proposed action reviewable.
Outcome linkage
Replayable
Signals can be checked against later market movement.
Experiment gates
Evidence-led
Promotion requires baseline and spillover context.
Public surface
Sanitized
Proof without account exposure.
Live feedback map
Decision quality loop
Audit trail
Inspectable
Decision records are built to be reviewed.
Experiment gates
Explicit
Changes need defined evidence and rollback rules.
Runtime visibility
Observable
Health and policy metadata stay visible to reviewers.
Live public feed
Sanitized paper-mode evidence is now served from the live portal.
The showcase fetches the public-safe feed directly from ffe.grovextech.com. The upstream workflow fails closed on sensitive content before deploying, so the website can show current evidence without exposing private account, broker, order, or recommendation data.
Workflow-gated endpoint
FFE · Public feed
Loading
Mode
paper
Delay floor
15+ min
Source as of
Unavailable
Waiting for the public-safe feed response.
Infographic architecture
The loop is the product.
FFE makes each trading-system iteration visible as a research-grade workflow: observe the decision, compare the outcome, gate the change, and publish safe evidence.
02→
Compare
Read outcomes against baselines so each change can be judged by behavior, not vibes.
03→
Gate
Promote, tune, or kill strategies through explicit evidence gates and rollback rules.
04
Publish
Expose architecture, roadmap, and sanitized findings while protecting private trading state.
Public evidence surfaces
Built to show the work without exposing the account.
FFE is not a promise of returns. It is GroveX proof of disciplined systems engineering around a hard domain: every public surface should help reviewers understand how decisions are generated, tested, governed, and evaluated while private runtime details stay private.
- GitHub Pages technical portal deployed at ffe.grovextech.com
- Live public-safe feed deployed through GitHub Actions with a PII/sensitive-content gate
- Roadmap organized around evidence-backed milestones and exit gates
- Experiment catalog designed around baseline, post-change, and spillover readouts
- Publication policy separates public proof from sensitive trading/account state
Technical portal
Live public entry point for the FFE architecture, roadmap, and evidence surfaces.
Live public-safe feed
Workflow-published JSON feed with paper-mode, delayed, allowlisted metrics only.
GitHub source
Inspectable implementation history for the trading-system runtime and docs portal.
Roadmap
Milestone framing from runtime correctness toward evidence-gated research workflows.
Experiment ledger
Sanitized public view of how experiment outcomes are tracked and promoted, tuned, or killed.
Publication policy
Fail-closed boundaries for what FFE can publish without exposing private account, broker, or live-position data.
Runtime-first discipline
FFE treats trading decisions as production software events: typed contracts, replayable artifacts, and explicit promotion gates come before broad experimentation.
Measured improvement loops
Changes are framed as narrow experiments with baseline comparison, spillover checks, and reversible rollout paths instead of anecdotal one-cycle wins.
Public evidence, private safety
The public portal exposes architecture, roadmap, and sanitized metrics while keeping broker state, live positions, account data, and private runtime logs out of view.
A portfolio piece for serious technical buyers.
FFE demonstrates the same GroveX operating pattern used for client work: make the system observable, define the acceptance gate, ship a narrow slice, verify behavior from the source of truth, and keep improving one loop at a time.