Capital is lost in the wrong regime.
Not execution.
Not when to trade — but how much of you should be in the market right now.
Reduced max drawdown on 84% of tested assets across 30+ instruments and 181,000+ bars of market history.
What you see in TradingView
The live product uses the exact same terminology shown below. What you see on the page is what you see in the live table output.
REGIME ATLAS
D1 | Equity Index
Regime: EXPANSION
Risk: RISK ENABLED
State: Ranging (555) | Score 67
High-quality structure. Direction is not implied.
Core outputs
Regime Atlas classifies market conditions and determines whether deploying risk is structurally justified.
Proof, not promises
Most traders try to optimize entries. This model solves a different problem: whether deploying risk was justified in the first place.
On 12 of 31 assets, regime sizing improved both Sharpe and max drawdown simultaneously.
This was not limited to one niche corner of the universe. It showed up across stronger directional cases where higher-quality participation also meant better downside control.
This is not simply a defensive overlay. On the right assets, it can improve both quality of exposure and downside containment at the same time.
On strongly trending instruments like SPY, Sharpe declines marginally because the model steps aside during transitional windows. In exchange, maximum drawdown improved from −56.5% to −41.4%.
You trade some trending-market Sharpe for materially lower tail risk. That is the design intent, not a side-effect.
Without a regime filter, capital is exposed during structurally weak conditions. That is where most drawdowns originate.
Regime Atlas reduces that exposure. Not by predicting direction, but by restricting participation when conditions degrade.
You are not optimizing trades. You are filtering when trading should happen at all.
Methodology transparency
The concepts are public. The full numeric calibration is not.
Regime Atlas evaluates five independent structural dimensions — Trend Separation, Volatility Expansion, Directional Efficiency, Range Structure, and Structural Stability.
Each dimension is anchored against both the instrument’s own recent history and absolute saturation levels calibrated across a 31-asset validation universe. The dimensions combine into a single composite score, which is smoothed and mapped into three regime states through a confirmation-based state machine with asymmetric hysteresis.
The architecture was frozen in February 2026 and has remained unchanged since. The current v2.4 calibration was finalized on 21 April 2026 following full cross-asset validation. No post-calibration tuning has been applied since.
Full numeric calibration, per-dimension formulas, and the detailed validation pack are shared with founding members during qualification.
Regime Atlas is not a strategy replacement. It sits on top of your existing process.
In practice: if the structure is strong, you deploy normal planned risk. If conditions degrade, you scale down or stand aside according to your own execution framework.
You keep your entries, exits, instrument selection, and directional bias. Regime Atlas only governs whether full participation is justified.
RISK ENABLED → High-quality structure. Direction is not implied.
RISK CONDITIONAL → Selective deployment only.
RISK SUPPRESSED → Risk deployment not justified.
Who built this
I built Regime Atlas after repeatedly seeing capital erode during structurally weak periods — even when entries were technically correct.
Most losses I experienced — and later observed across other traders — did not come from bad entries. They came from deploying capital in the wrong regime.
Regime Atlas was built to solve that specific problem. Not to predict direction. Not to generate signals. But to answer one question consistently: is risk deployment justified right now?
The architecture has remained unchanged since February 2026. The current calibration was finalized in April 2026 following cross-asset validation. No post-calibration tuning. No repaint behavior. Deterministic output.
This is not a fund, not a signal service, and not a black-box system. It is a structural classification layer built for operators who already have a process and want to control when capital is exposed.
Founding access
Limited to the first 10 operators. Lifetime-locked rate through every future tier.
- Daily Regime Atlas™ core model overlay on TradingView
- Expansion / Risk Enabled / State / Score outputs on D1
- Access to the validation pack preview and qualification materials
- Direct line to the builder for methodology questions
- Lifetime price lock — €99 stays €99, even as the public tier moves up
- First-month refund if the model doesn’t fit your workflow
Honest answers
Does the model repaint?
No. Once a daily bar closes, the regime output for that bar is fixed and does not revise. Historical calls remain reproducible bar-for-bar on the TradingView overlay.
Does this replace my existing strategy?
No. You keep your entries, exits, instrument selection, and directional bias. Regime Atlas only determines whether planned risk deployment is justified.
What if the model doesn’t improve my specific asset?
That is exactly why the first-month refund exists. The model improved max drawdown on 84% of tested assets, not 100%. If it does not fit your workflow or universe, you should not keep paying for it.
Do you short?
No. Regime Atlas is not a shorting engine. The classification itself is non-directional, but the live product is designed as a regime-governance layer on top of your own existing process.
Which assets were tested?
The full per-asset validation table is shared during qualification. The public page keeps the headline scope visible, while the qualification materials show the detailed universe and per-asset outcomes.
How does the refund work?
If the model does not fit your workflow during the first month, email us within 30 days of initial payment and your first billing cycle will be refunded in full.
Why D1 only?
Because the product is designed to classify structural conditions, not intraday noise. D1 produces stable, reproducible regime transitions that are actually usable in a real workflow.
Architecture frozen February 2026. v2.4 calibration frozen 21 April 2026. No post-calibration tuning since.
Conceptual framework is public. Full numeric calibration remains private.