Public beta / tracked models / scorecards

Review the evidence behind each strategy.

Preset tracking, imports, and model outputs are implemented. Public result boards remain unpublished until data quality and source parity are verified. Results are research signals, not promises of future returns.

Catalog See Public Scorecards

News Updates Entities

Benchmark status

Compare preset evidence.

Validation

Tracked models

Preset buckets reporting now

Sampled boards

Boards with trade history

Stored trades

000

Webhook + imports

Latest signal

Awaiting signal

Model update clock

Entity context

IG Group Holdings plc 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.

Each board identifies the workflow, sample, and evidence required for publication.

Identity before totals

Each board belongs to one preset or strategy so results remain attributable and separate from unrelated setups.

Context defines the sample

Market, session, trigger style, and directional filter stay attached so each result remains attributable.

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 and conditions. Results are not combined across distinct setups.

Sweep + Structure Bundle

No webhook data

Trades

---

Win

--%

Net

--.--

Liquidity and structure decisions use a separate verification sample.

Updated Awaiting sample

Execution Map Bundle

No webhook data

Trades

---

Win

--%

Net

--.--

Value, imbalance, and POI comparisons remain unpublished until sample coverage is sufficient.

Updated Awaiting sample

Core Workflow Bundle

No webhook data

Trades

---

Win

--%

Net

--.--

End-to-end workflow from context through execution, reviewed as one named preset.

Updated Awaiting sample

Full BiasForge Suite

No webhook data

Trades

---

Win

--%

Net

--.--

Cross-preset, side, and style comparisons remain unpublished until enough labeled trades are verified.

Updated Awaiting sample

Model structure

What the board is measuring.

Direction, session context, trigger quality, and trade management remain separate in each scorecard.

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

Webhook alerts and imported history share one replayable pipeline.

Separate

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

Verify

Only clean, labeled samples reach the public board.

Current snapshot

What the board currently contains.

Public boards withheld

Tracked models

Models registered in the benchmark store

Sampled boards

Boards with attached trade history

Stored trades

000

Closed records available for replay

Member research

Building

Private diagnostics and replay

Public scorecards

Preset boards, kept separate.

0 published / 5 tracked

Sweep + Structure Bundle

No webhook data

Balanced / GOLD

Structure workflow

Win rate--%

Net

--.--

Trades

---

Win

--%

Signals 0 recent / 0 total

Signal coverage is still limited for this board.

Liquidity and structure decisions use a separate verification sample.

Awaiting stronger sample size

Execution Map Bundle

No webhook data

Balanced / GOLD

Daily to 1h

Win rate--%

Net

--.--

Trades

---

Win

--%

Signals 0 recent / 0 total

Signal coverage is still limited for this board.

Value, imbalance, and POI comparisons remain unpublished until sample coverage is sufficient.

Awaiting stronger sample size

Core Workflow Bundle

No webhook data

Balanced / GOLD

Bias to trigger

Win rate--%

Net

--.--

Trades

---

Win

--%

Signals 0 recent / 0 total

Signal coverage is still limited for this board.

End-to-end workflow from context through execution, reviewed as one named preset.

Awaiting stronger sample size

Full BiasForge Suite

No webhook data

Balanced / Multi-market

Preset comparison

Win rate--%

Net

--.--

Trades

---

Win

--%

Signals 0 recent / 0 total

Signal coverage is still limited for this board.

Cross-preset, side, and style comparisons remain unpublished until enough labeled trades are verified.

Awaiting stronger sample size

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.

Session-sweep results remain separate from bundle presets.

Awaiting stronger sample size

Benchmark boards are beta research surfaces. They summarize tracked samples and model behavior; they do not promise future returns or replace independent risk management.

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 every result remains attributable and auditable.

The alert payload includes strategy, side, session, stop, and reference levels for replay and result labeling.

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

current 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 is published only after sample size, labeling, and QA checks pass.