The Framework
Market structure, quantified.
What We Built
Most sentiment tools show you one thing: what retail is doing.
That's useful. But it's not enough.
Positioning data in isolation is noisy. It needs context. When is an extreme meaningful? When is it noise? What other structural factors matter?
And crucially: does the same pattern work better on some instruments than others? In some conditions than others?
We spent years and millions of data points figuring that out.
The result: a framework that synthesizes positioning with the structural context that makes it actionable — and tells you what the validation shows.
The 11 Drivers
Our pattern detection spans 11 structural factors. Each contributes to identifying when market conditions create observable setups.
| Driver | What It Measures | Category |
|---|---|---|
| Trend Regime | Prevailing price direction | Direction |
| VIX Regime | Fear/complacency levels | Speed |
| GEX Regime | Dealer gamma exposure | Context |
| RSI Regime | Momentum structure | Context |
| Z-Score | Statistical positioning extremes | Direction |
| Duration | Persistence at extremes | Speed |
| Fibonacci | Price at key structural levels | Timing |
| SSI Direction | Retail positioning direction | Direction |
| MA Position | Price vs. moving averages | Direction |
| ATR Regime | Volatility compression/expansion | Speed |
| Volume | Activity surges | Timing |
No single driver tells you what to do. The synthesis does.
Our Foundation
Our positioning data comes from retail-dominated markets: spot FX and CFDs (Contracts for Difference).
Coverage: 40+ instruments across currencies, indices, and commodities.
- Currencies — Major pairs, crosses, and related futures
- Indices — S&P 500, Nasdaq, plus select global indices
- Commodities — Gold, Silver, Crude Oil
No individual stocks. We focus on liquid, macro-level instruments.
We don't just track positioning levels. We quantify:
- Extremes— Statistical significance, not arbitrary thresholds
- Duration— How long has this condition persisted?
- Velocity— Is positioning accelerating or exhausting?
- Cross-asset coordination— Are related instruments aligned?
This isn't the sentiment indicator you've seen before.
The Synthesis
Individual factors are inputs. The synthesis is insight.
When positioning reaches an extreme AND volatility is elevated AND the setup is counter-trend AND the instrument has a strong track record for this configuration — that's structural context.
We don't just tell you what's happening. We tell you what conditions are present, how similar setups have behaved historically, and what factors are contributing — or detracting.
Same pattern, different behavior.
A positioning extreme on GBP/USD doesn't resolve identically to the same setup on British Pound futures (6B). SPX500 CFD patterns don't behave exactly like ES futures or VOO or leveraged products like UPRO.
We track these differences. You get context for what you're specifically trading — and insight into where you might find more optimal execution across related instruments.
Every instrument has characteristics worth understanding.
What's Different
| Others | FX Engineer |
|---|---|
| Single sentiment number | 11 structural drivers synthesized |
| Same reading everywhere | Instrument-specific characteristics |
| "It's extreme" | "It's extreme, here's the context, here's the track record" |
| You guess timing | We track duration and resolution patterns |
| Isolated view | Cross-asset coordination detection |
We built the tool we wanted but couldn't find.
What We're Building
The Positioning Intelligence Dashboard is currently in validation. We're stress-testing our models, refining our methodology, and preparing for launch.
Founder Access members get early access to the platform as we build, direct input on product features and functions, plus a permanent discount when we launch.
For the Quantitatively Curious
Full methodology documentation — including validation statistics, driver definitions, and analytical techniques — will be available to subscribers.
We believe in transparency. The data will speak for itself.
Questions? Contact us →