Tracked models / public scorecards

Track the edge, not just the idea.

The benchmark stack is live in beta. Preset models, webhook learning, replay imports, and style tracking are running now, while verified public result boards remain intentionally TBA until the data is clean enough to publish.

Catalog See Public Scorecards

News Updates Entities

Benchmark status

Rank what actually works.

Public build

Tracked models

Preset buckets reporting now

Trained models

Models with learned history

Stored trades

876

Live alerts + imports

Latest signal

28 Apr, 02:00

Model update clock

Entity context

Interactive Brokers LLC opened this benchmark view.

Back to entity

This view keeps model scoring and verification front and center while carrying the most relevant entity context with it.

Entity profile News context Map context

Reading the board

How to read the public board.

The point is not one loud number. The board should show which workflow is being measured, what shaped the result, and when the evidence is strong enough to publish.

Identity before totals

Each board belongs to one preset or strategy so the numbers still describe a real workflow instead of a blended bucket.

Context is part of the edge

Market, session, trigger style, and directional filter stay attached to the sample so the benchmark can rank where a setup actually fits.

Publication discipline

The public board moves only when the outcomes are labeled, replayable, and clean enough to represent the product.

Model presentation

Named boards, kept separate.

Each board keeps its own sample, behavior, and preferred conditions instead of hiding everything inside one blended performance number.

Core Workflow Bundle

trained

Trades

224

Win

28%

Net

-349.06

TVC:GOLD / 5 / Balanced

Updated 27 Apr 2026

Sweep + Structure Bundle

trained

Trades

123

Win

26%

Net

-213.88

TVC:GOLD / 5 / Balanced

Updated 28 Apr 2026

Full BiasForge Suite

trained

Trades

021

Win

38%

Net

-23.71

TVC:GOLD / 5 / Balanced

Updated 23 Apr 2026

Execution Map Bundle

trained

Trades

012

Win

50%

Net

+244.64

TVC:GOLD / 5 / Balanced

Updated 27 Apr 2026

Model structure

What the board is measuring.

Direction, session context, trigger quality, and trade management stay separate so the scorecards still describe a real workflow.

Bias model

Higher-timeframe direction

Multi-Timeframe Bias and AMD keep the benchmark grounded in direction before any trigger is allowed to matter.

Multi-Timeframe Bias / AMD Phase Table

Session model

Reference range and timing

Session High/Low structure and the London-to-New-York handoff define when price is stretching and which sweep still counts.

Session HL / London Sweep references

Trigger model

Liquidity and structure confirmation

Sweeps, BOS or CHOCH, and imbalance confirmation turn the chart from a watchlist into a valid entry candidate.

Liquidity Sweeps / BOS + CHOCH / FVG

Management model

Risk and scaling logic

ATR-buffered stops, one-trade rules, and TP ladders keep outcome quality measurable instead of flattening every trade into one exit.

ATR stop / TP1 TP2 TP3 / one-trade rule

Model lifecycle

How a model reaches the board.

Captured, separated, and verified before results appear.

Capture

Live alerts and imported history enter one replayable pipeline.

Separate

Preset, session, trigger, and management logic stay attached.

Verify

Only clean, labeled samples reach the public board.

Live snapshot

What is already active on the board.

Measured in public

Tracked models

Receiving benchmark data now

Trained models

Have learned history attached

Stored trades

876

Closed records available for replay

Member research

Building

Private diagnostics and replay

Public scorecards

Preset boards, kept separate.

4 live / 5 tracked

Sweep + Structure Bundle

No recent webhook

Balanced / GOLD

Win rate26%

Net

-213.88

Trades

123

Win

26%

Signals 0 recent / 373 total

Signal coverage is still limited for this board.

Starter board for the liquidity and structure lane before the full suite is required.

Latest signal 28 Apr, 02:00

Execution Map Bundle

No recent webhook

Balanced / GOLD

Win rate50%

Net

+244.64

Trades

012

Win

50%

Signals 0 recent / 27 total

Signal coverage is still limited for this board.

Value, imbalance, and POI comparisons stay grouped here once the sample is broad enough.

Latest signal 27 Apr, 21:00

Core Workflow Bundle

No recent webhook

Balanced / GOLD

Win rate28%

Net

-349.06

Trades

224

Win

28%

Signals 0 recent / 281 total

Signal coverage is still limited for this board.

Core stack board for the traders who want one repeatable lane from context into execution.

Latest signal 27 Apr, 22:30

Full BiasForge Suite

No recent webhook

Balanced / GOLD

Win rate38%

Net

-23.71

Trades

021

Win

38%

Signals 0 recent / 63 total

Signal coverage is still limited for this board.

Full-suite board for comparing the broadest workflow once enough labeled trades have been verified.

Latest signal 23 Apr, 19:15

London Sweep + New York Expansion

Awaiting webhook data

Session model / GOLD

London to NY

Win rate--%

Net

--.--

Trades

---

Win

--%

Signals 0 recent / 0 total

Signal coverage is still limited for this board.

Dedicated session-sweep board kept separate from the bundle presets.

Awaiting stronger sample size

Tracked strategy

London Sweep + New York Expansion.

This dedicated London sweep model tracks session reference highs and lows, trend alignment, and scaled exits so the public board can show one strategy with a clear identity.

Asia

Build range

Use the Asia session as the first reference range before London and New York start stretching price.

London

Extend range

Track London highs and lows, then merge them into the full reference range for the New York session.

Bias

EMA gate

Use the 21, 55, and 200 EMA stack plus a directional reclaim candle so the model only acts with trend support.

New York

Sweep + entry

Wait for New York to sweep the reference high or low and reclaim back through it before the trade is allowed.

Manage

Scale out

Stops use an ATR buffer and the trade scales through TP1, TP2, and TP3 so management quality stays visible.

Scoring rules

Keep the London sweep strategy in its own model instead of blending it into the bundle presets.

Use the Asia and London sessions to define the range that New York is allowed to sweep.

Require trend alignment and a reclaim candle so sweeps are not treated as automatic entries.

Label only closed trades so the sample stays auditable and easy to replay.

Publish public performance only after sample size and QA thresholds are met.

Keep this strategy separate so its results stay attributable, easy to audit, and ready for clean public reporting.

The alert payload already carries strategy name, side, session, stop, and reference levels, which keeps replay and result labeling clean.

Example trade path

XAU / NY

Reference range

Asia and London build the high-low reference before New York becomes the trigger session.

Directional filter

The trade only qualifies if the EMA stack and reclaim candle still agree with the direction after the sweep.

Risk ladder

Stops use an ATR buffer, then the model scales through TP1, TP2, and TP3 to record managed outcomes instead of one flat exit.

Strategy rules

live rules

Dedicated model per strategy

This London sweep model should stay separate from the bundle presets so its sample remains attributable to one idea.

One trade per New York session

The current logic is intentionally selective: one trade per New York session keeps the benchmark clean while the sample is still small.

Publication follows verification

The public board only goes live after sample size, labeling, and QA checks are strong enough to trust.