Turn raw trading evidence into decision-ready validation.
G2D helps funds, quants, and research teams inspect strategies, stress-test assumptions, and produce validation packets before capital, engineering time, or operational trust is committed.
A backtest chart can show performance. It does not explain whether a strategy is robust, repeatable, fragile, overfit, missing friction assumptions, or worth deeper validation.
Example validation packet
RSI 30/70 FX Mean Reversion Study
Example only. Not investment advice. No live-readiness claim.
Overall conclusion
The strategy shows isolated pockets of signal, but current evidence does not support broad robustness, repeatability, or live-readiness.
Strongest candidate
GBP/USDRecovered after a major drawdown and finished above initial capital.
Weakest candidate
USD/CHFPersistent degradation and late-period collapse.
Primary concern
Pair dependence & regime sensitivityPerformance appears pair-dependent, regime-sensitive, and not yet supported by enough evidence for live-readiness claims.
What the raw evidence showed
GBP/USD / RSI 30/70 Drawdown
Material drawdown cluster
GBP/USD showed recovery potential, but the drawdown path reveals a material 2022 stress cluster that requires deeper validation.
Pair-level robustness is uneven, so the strategy should not be treated as broadly validated across instruments.
Friction, slippage, financing, and execution assumptions remain first-order validation questions.
Evidence availability. The source also names a GBP/USD RSI 30/70 Equity Curve — strongest candidate / recovery profile — but does not supply that image. The GBP/USD image shown here is the supplied drawdown chart.
Recommended next experiments
Pair attribution
Leave-one-pair-out testing
Friction stress
Walk-forward validation
Monte Carlo sequence-risk review
Exit threshold sensitivity
Trade-log replay where available
02 Why validation matters
Evidence that survives review.
Fragile
Backtests often depend on hidden assumptions, incomplete friction, narrow time windows, or untested regime exposure.
Disconnected
Evidence lives across notebooks, CSVs, screenshots, PDFs, trade logs, chats, and manually assembled memos.
Slow
Teams spend days or weeks cleaning artifacts, re-running tests, writing reports, and debating what the results actually mean.
Expensive to get wrong
A weak strategy can waste months of research, engineering time, capital, or investor confidence.
Validation packets in days, not weeks.
Send the research you already have. G2D normalizes the material, inspects assumptions, reviews fragility, and returns a structured report your team can review, archive, and act on.
Turnaround depends on the agreed scope and evidence available.
03 Evidence in / packet out
Built on your strategy evidence.
What you provide
G2D can review
Backtests
Trade logs
Strategy memos
Research notebooks
CSVs and datasets
Screenshots and existing reports
AI-generated trade or research outputs
What you receive
Each packet may include
Decision readout
Evidence map
Assumption register
Fragility review
Stress-test summary
Reproducibility notes
Missing-evidence flags
Recommended next experiments
Human-readable report
Machine-readable artifact package
04 How the review works
A bounded question. A reviewable answer.
01
Send evidence
Share a bounded strategy question and the artifacts you already have.
02
G2D normalizes and inspects it
We organize the evidence, identify assumptions, and map what is known, missing, or unclear.
03
G2D stress-reviews the claim
We evaluate fragility, repeatability, failure modes, and deeper validation readiness.
04
Receive a decision-ready packet
You get a clear readout of what holds up, what breaks, and what should be tested next.
05 Deeper validation
Follow the evidence further.
For stronger scopes, G2D can support deeper validation work such as the following. The work depends on the scope; every packet does not include every technique.
Walk-forward analysis
Monte Carlo review
Friction stress
Trade-log replay
Regime sensitivity
Pair or instrument attribution
Threshold and exit sensitivity
Interactive readouts
06 Operating principles & lab
Serious research. Explicit boundaries.
G2D is designed for bounded validation work, private review, and artifact-backed reporting.
Private by default
Bounded validation work and private review.
No trade execution. No investment advice.
The described validation service does not execute trades or provide investment advice.
Clear scope boundaries
Reviewable assumptions and limitations.
Structured, reviewable outputs
Structured artifacts, human-readable reports, and machine-readable outputs.
An independent AI-native financial systems lab.
G2D develops validation, research, reporting, and execution infrastructure for serious financial workflows.
The public surface is simple: send evidence, receive validation. Under the hood, G2D is built to make research more inspectable, repeatable, and trustworthy.
07 Start with your evidence
Bring a strategy question to G2D.
Share a bounded strategy question and the artifacts you already have.
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