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.
Benchmark status
Rank what actually works.
Tracked models
04
Preset buckets reporting now
Trained models
04
Models with learned history
Stored trades
876
Live alerts + imports
Current mode
Beta
Measured in public
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
trainedTrades
224
Win
28%
Net
-349.06
TVC:GOLD / 5 / Balanced
Updated 27 Apr 2026
Sweep + Structure Bundle
trainedTrades
123
Win
26%
Net
-213.88
TVC:GOLD / 5 / Balanced
Updated 28 Apr 2026
Full BiasForge Suite
trainedTrades
021
Win
38%
Net
-23.71
TVC:GOLD / 5 / Balanced
Updated 23 Apr 2026
Execution Map Bundle
trainedTrades
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 earns a public board.
Public cards only matter if the sample is captured, separated, and verified before it is shown.
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.
Tracked models
04
Receiving benchmark data now
Trained models
04
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.
Sweep + Structure Bundle
Beta liveBalanced / GOLD
5m
Net
-213.88
Trades
123
Win
26%
Starter board for the liquidity and structure lane before the full suite is required.
Updated 28 Apr 2026
Execution Map Bundle
CollectingBalanced / GOLD
5m
Net
+244.64
Trades
012
Win
50%
Value, imbalance, and POI comparisons stay grouped here once the sample is broad enough.
Updated 27 Apr 2026
Core Workflow Bundle
Beta liveBalanced / GOLD
5m
Net
-349.06
Trades
224
Win
28%
Core stack board for the traders who want one repeatable lane from context into execution.
Updated 27 Apr 2026
Full BiasForge Suite
Beta liveBalanced / GOLD
5m
Net
-23.71
Trades
021
Win
38%
Full-suite board for comparing the broadest workflow once enough labeled trades have been verified.
Updated 23 Apr 2026
London Sweep + New York Expansion
TBASession model / GOLD
London to NY
Net
--.--
Trades
---
Win
--%
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 staged 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.
Collection rules
Example trade path
XAU / NYReference 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 rulesDedicated 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 cleaner during early collection.
Publication follows verification
The public board only goes live after sample size, labeling, and QA checks are strong enough to trust.