Energy AI agent · Trading and bidding

Wholesale Trading & Bidding AI Agent

Build bids in power and gas from your own positions and forecasts, record why each order exists, check it against your configured limits — and hold it for an authorised trader to release.

Typical delivery
4–6 weeks
Deployment
Your stack
Trader release
Pre-release
After launch
Agent Care

What this agent does

Builds the order, not the decision to send it

In

  1. 01

    Positions, forecasts and market data from the customer's own ETRM, market-data and metering sources are ingested.

  2. 02

    Instrument names, units and delivery periods are normalised, each carrying the source it came from.

Reason

  1. 03

    Candidate bids and offers are constructed for the products and locations the desk has configured.

  2. 04

    Desk limits — volume, location, product and price — are applied to every candidate order.

  3. 05

    The reason the order exists is recorded against the positions and forecasts that produced it.

Decide

  1. 06

    Position, forecast and limit inputs are read from the desk’s own book, never from another book.

  2. 07

    Orders route to an authorised trader on the desk, who decides whether any of them is released.

Out

  1. 08

    The order, its reason, its limit checks and the trader's decision are retained against the trade.

  2. 09

    Write actions happen only inside the approval boundaries agreed during implementation.

Product statement

The agent proposes orders; an authorised trader decides whether any is released, and the firm remains the market participant of record.

Example workflow

One order, book to release

  1. 1Trading window opensDay-ahead, real-time or gas bidweek window on a configured market
  2. 2Book assembledPositions, forecasts, desk limits and market data, each with its named source
  3. 3Order proposedProduct, location, price, reason, confidence
  4. 4Controls appliedLimit checks, prohibited-pattern screens, cross-book review and confidence threshold

No human action required

Stages 1 to 4 run unaided and nothing reaches a market at any of them — the agent is building an order, and the trader's lane opens at the confidence gate.

5DecisionBranches at the confidence threshold
High confidence

Goes to an authorised trader to release.

Low confidence

Picks up a surveillance read first.

Trader release

The order is held with its reason, its limit checks and the confidence.

Authorise · Amend · Send to surveillance review

Authorised — sent to market

  1. 6Trading systems updatedOnly where write access and release policy allow it
  2. 7Outcome evaluatedAmend rate, screen outcomes, fill quality and post-trade surveillance findings

Amends

Every trader amendment, and every post-trade query, is counted in the evaluation.

What should not run autonomously

Human approval stays in control

Outside the boundary — human approval required

8 items

  • Releasing an order into a power or gas market.
    • Declaring a unit unavailable or off automatic control.
    • Trading outside the limits configured for the desk.
    • Using data from outside the customer's own book.
  • Automation boundary

    Agent acts unaided

    • ✓Build a bid from the customer's own positions and forecasts.
    • ✓Record why each order exists, in terms a trader can defend.
    • ✓Run the proposed order against the limits configured for the desk.
    • ✓Hold the order, with its reason and its limit checks attached for the named owner.

    Nothing is released ahead of a trader — exposure accrues per violation, per day, and disgorgement sits on top of it.

    • Enabling a newly discovered trading strategy.
    • A loss on one leg justified by another book.
    • Orders whose only rationale is an allocation.
  • Changes to limits, thresholds or release rules.

Example output

One order, annotated

Everything the agent proposes is attached to the book it was built from.

Bidding output · single order

Illustrative example
Market
Day-ahead power
Proposed order
Offer at a single configured node, morning block
Volume
25 MW
Reason on file
Own generation position
Confidence
91%
Limit check
Inside desk volume and price limits

As received

Taken from the desk's own positions and forecasts — nothing on this side is written by the agent.

Book evidence used

  • Owned unit position
  • Own load forecast
  • Desk limit set

Why this order exists

It sells a position the desk already holds and a person still decides.

What the score decides

Below the configured threshold the order picks up a surveillance read before a trader sees it.

Action

AuthoriseAmendSend to surveillance review

Value

Where AI adds value

The same four claims, placed at the point in the workflow where each one applies.

Where the value lands

Value 01 – 04

Every proposed order

From the desk's own book

03Bid construction

Build from the book

Draw only on the customer's own positions, forecasts and desk limits — pooled or competitor data is out of scope by construction.

01Approved path

A pattern is not a strategy

Routine bids and offers arrive already built, with their reason attached.

02Human review

Send review where risk sits

Flagged patterns and low-confidence orders are marked, so the trader's read starts where exposure concentrates.

04

Build an evidence trail

The bid, the position and signals behind it and the trader who released it stay on the order.

Integrations

Typical integrations

Five system groups connect to the same agent. Which of them are in scope is decided in discovery.

  • Market systems

    • PJM
    • MISO
    • CAISO
    • ERCOT
    • SPP
    • ISO-NE
    • NYISO
  • ETRM and scheduling

    • Allegro
    • Endur
    • RightAngle
    • Molecule
    • Aspect
    • Enuit
  • Market data

    • Platts
    • Argus
    • ICE
    • Weather and load forecasts

Agent

Trading & bidding

  • Reads your book
  • Builds the order
  • Holds for release
  • Risk and surveillance

    • Position and limit systems
    • Trade surveillance tooling
  • Observability & evaluation

    • OpenTelemetry
    • Langfuse
    • Supported monitoring/evaluation sources

Integration availability depends on the client's existing systems and API access.

Agent controls

Six layers between the model and the market

The controls are nested. What survives all of them appears in the map underneath.

L6 · Outermost — last line of defence

Inward → L1 · closest to the model

L6Rollback / safe modePull the agent back to proposal-only when evaluation or production signals degrade.Roll back
L5Version monitoringTrack model, prompt, limit-set and market-configuration changes.Track
L4Order traceabilityRecord the positions, the reason, the limit checks and the release time.Record
L3Trader releaseHold orders for an authorised trader; it governs release, not whether a released order was sound.Gate
L2Limits and screensTest orders against desk limits and charged patterns; a failure returns the order. Passing is not a defence.Restrict
L1Confidence thresholdsRoute low-confidence orders to a surveillance read before a trader sees them.Require review
Model coreOrder proposed — product, location, price, the reason and confidence
L1 – L2
Test whether an order may stand
L3
Puts the release in a trader's hands
L4 – L5
Show what the bid was built from
L6
Holds orders for the trader when signals degrade

How Nestack evaluates it

Evaluate the bidding workflow — not only the order that got filled.

Coverage runs the whole depth of the workflow, and every layer is cut by slice.

Surface — the order the market sees

  1. E1Final-output evaluationDid the recorded reason actually explain the order?
  2. E2Step-level evaluationDid the agent use the right positions, forecasts and desk limits?
  3. E3Tool evaluationDid it read and write the correct book, market and product?
  4. E4Confidence calibrationDo low-confidence orders actually attract more trader amendments?
  5. E5Slice evaluationHow does performance change across specific markets and products?
  6. E6Business outcomeHow many orders needed a trader amendment or a post-trade correction?

Floor — the outcome the firm answers for

Failure modes

Where each failure originates in the agent

Seven ways an order goes wrong, set at its own stage.

Agent lifecycle

Direction of processing →

  1. 01 · Retrieval

    1 mode

    • MQ-03

      Cross-tenant data leakage

      A signal from outside the customer's own book reaches an order.

    Stage gathers

    Positions, forecasts, desk limits and market data

  2. 02 · Reasoning

    2 modes

    • MQ-04

      Learned manipulation pattern

      A profitable learned pattern matches a theory the regulator charges.

    • MQ-06

      Cross-book loss leg

      A loss-making order is explicable only by another book's position.

    Stage proposes

    Product, location, price, the reason and confidence

  3. 03 · Tool / write

    2 modes

    • MQ-02

      Price-driven unavailability

      Availability is proposed as a function of what the award pays.

    • MQ-05

      Repeated machine footprint

      Identical orders repeat into a pattern surveillance screens read.

    Stage writes

    Only where write access and approval policy allow it

  4. 04 · Output

    1 mode

    • MQ-01

      Reason that will not hold

      The recorded reason does not survive a trader's reading.

    Stage returns

    The order a trader releases and the market sees

  5. 05 · Change / Version

    1 mode

    • MQ-07

      Silent limit regression

      A model or limit change widens what the agent will propose.

    Stage tracks

    Model, prompt, limit sets and market config

  • Sev-1 · an order leaves outside the boundary
  • Sev-2 · a wrong order reaches a trader
  • Sev-3 · inputs degrade, order routes to review
See the complete Energy & Utilities failure-mode catalogue

Affected slices

Overall quality can hide one bad book

Base rates differ sharply by market and by product, so a single desk-wide amendment rate says very little about where the rework actually sits. Nestack reports the trader-amendment rate by slice, not only in total.

Slice performance — reported separately, not only in aggregate

Illustrative example
SliceFailure rateLiftLift vs. thresholdStatus
Virtual and financial products9.6%3.3×Review
Cross-commodity positions8.1%2.8×Review
Newly configured markets4.9%1.7×Watch
Established power nodes2.6%0.9×Normal

Bar: trader-amendment-rate lift vs. established-node baseline · scale 0–4.0× · tick marks the 2.0× review threshold

2 of 4 slices over threshold

Evidence-linked improvement

The loop closes on a case, not a view

Explaining a bad fill does not close the cycle. A standing regression case does, and that suite is what the next order sent out is measured against.

Improvement cycle · five stages

Switchback — the path turns at Improve and returns at Learn

  1. 01

    Detect

    Trader-amendment rate rises in a market slice.

  2. 02

    Diagnose

    If the cause is the inputs, the limits or the reasoning, orders are read with a trader until it narrows to one.

  3. 03

    Improve

    The fix is versioned against the orders that produced it.

  4. 04

    Verify

    The release stops until every affected case is passing.

  5. 05

    Learn

    The case stays in the suite, and the trading limits are amended.

  6. Learn → Detect

    The return edge. The next detection runs against a suite one case longer.

Typical build scope

Twelve workstreams across six weeks

The build scope read against the delivery timeline. Week structure follows the six-week plan — discovery, sources, bidding workflow, evaluation, integration, then production validation and handover.

Workstream

Week 1Week 2Week 3Week 4Week 5Week 6

  1. 01Trading workflow discovery and boundary definition.Week 1
  2. 02Market, ETRM and data-source assessment.Week 1, Week 2
  3. 03Desk limit, prohibited-pattern and market mapping.Week 1, Week 2
  4. 04Position and market-data normalisation.Week 2
  5. 05Bid construction and reason binding.Week 2, Week 3
  6. 06Confidence scoring and flag routing.Week 3
  7. 07Trader release workflow.Week 3, Week 4
  8. 08Trading-platform and market integration.Week 5
  9. 09Intent and pattern cases.Week 4, Week 5
  10. 10Guardrails and release controls.Week 4
  11. 11Order-trail instrumentation.Week 5, Week 6
  12. 12Deployment, documentation and Agent Care handover.Week 6

12 workstreams · 6 weeks · bar shows the weeks a workstream is active — several run in parallel

Final scope and sequence confirmed in discovery

Engagement tiers

What each tier includes

Rows are the capabilities named in each tier's scope. Higher tiers include everything below them.

Capability✓ in scope · — not at this tierPilotOne market, one deskProductionProduction trading systemsAdvancedMultiple markets / entities
Introduced at Pilot
Bid construction from your book✓✓✓
Trader authorisation✓✓✓
Bid-quality baseline✓✓✓
Introduced at Production
Reporting by market and product—✓✓
Authorisation workflow in your systems—✓✓
Write-back to your trading systems—✓✓
Trading-platform integration—✓✓
Introduced at Advanced
Multi-market and cross-product rules——✓
Multi-stage desk approvals——✓
High order volume——✓
Multi-market trading controls——✓
Build priceFrom $5,000From $8,000Custom quote
Final build price
Confirmed after discovery based on integrations, workflow complexity, transaction volume, approval controls and deployment requirements.
Separate from build
Build pricing is separate from recurring Agent Care, which covers managed monitoring, evaluations, incidents and verified improvements after launch.

What we need from you

What you bring, and what we build with it

Each input maps to a piece of build scope and a week in the delivery timeline.

  1. 01Your book structure and position sources

    Position and market-data ingestion and mapping

    Week 1
  2. 02Representative historical orders

    Bid-construction baseline and reason binding

    Week 2
  3. 03Your desk limits and prohibited patterns

    Desk limit, prohibited-pattern and market mapping

    Week 1
  4. 04Access to relevant APIs, feeds or exports

    Market, ETRM and data-source assessment, then integration setup

    Week 2
  5. 05Orders you would not want filled

    Pattern cases and the evaluation suite

    Week 4
  6. 06Where an order must stop and wait for a trader

    Confidence scoring, flag routing, guardrails and release controls

    Week 3
  7. 07Named authorised traders to release orders

    Trader release workflow, then pilot and production validation

    Weeks 5–6

Nothing else is required

Deployment, documentation and Agent Care handover are ours.

Delivery timeline

Four phases across six weeks

Phases occupy the weeks the work really needs, so week 5 runs evaluation and launch side by side.

Phase

W1

W2

W3

W4

W5

W6

  1. DiscoveryW1
  2. BuildW2 – W3
  3. EvaluateW4 – W5
  4. Pilot & LaunchW5 – W6

Week focus

W1Trading workflow discovery, limit mapping and the automation boundary

W2Source integration and the bid-construction baseline

W3Bidding workflow, confidence logic and release controls

W4Evaluation suite, pattern screens and failure-mode testing

W5Trading-platform integration, pilot orders and targeted corrections

W6One trading period run under the desk, then handover

Reading the band
A bar spans only the weeks its work is named in. Week 5 carries two because that is how it runs.
At the end of W6
The period closes validation and Agent Care picks up the monitoring.
Duration
Six-week plan shown · typical delivery 4–6 weeks depending on scope confirmed in discovery.

Next step · Energy AI agent

Build a trading agent around your desk's release chain.

Show us your book, your desk limits and who releases an order. Could you explain, months later, why each of yesterday's bids existed? That is the record we build and the boundary we set.

Typical delivery
4–6 weeks
Deployment
Your desk and ETRM
Trader release
Pre-release
After launch
Agent Care available

Nestack Agents · Trading & bidding

AGT-EN-06 · Agent Care available after launch

Build a trading agent

Four questions so the call starts from your actual setup — then pick a time that suits you.

About you
Your trading

No obligation. We’ll map the workflow, name the automation boundary and tell you if an agent is the wrong answer.