Executive Biography & Profile Pedigree
1. Institutional Apprenticeship in Chicago & New York (2010–2016)
Aurora Hayes graduated with a B.A. in Finance from the NYU Stern School of Business before beginning her career under veteran CBOT profile analysts in Chicago and New York. Trained in J. Peter Steidlmayer’s original Market Profile architecture, Aurora specialized in decomposing market auctions into graphic bell curves, evaluating whether price movement represents responsive participant activity at fair-value extremes or aggressive initiative discovery driving into new territory.
2. Macro Advisory & TPO Architecture (2016–2023)
Aurora served for seven years as Senior Microstructure Strategist for an institutional advisory desk in New York, publishing daily auction structure briefs for global macro hedge funds. She developed empirical models classifying intraday session behavior via Initial Balance (IB) range extensions ($1.5\times$, $2.0\times$, and $3.0\times$), differentiating balanced rotational days from one-way liquidation trends. In addition, she codified the Monday Range Framework, proving how Previous Monday Highs (PMH), Lows (PML), and range quarter partitions establish the weekly institutional liquidity roadmap.
3. Auction Market Theory Leadership at Thru Capital (2023–Present)
At Thru Capital, Aurora leads curriculum development across Auction Market Theory (AMT) and Time Price Opportunity (TPO) profiling. She demystifies complex market concepts—such as the resolution of poor highs/lows lacking single-print excess, the mechanics of virgin Point of Control (nPOC) magnetic retests, and day-over-day Value Area migration patterns—giving traders a clear roadmap of institutional intent.
Standard Thru Capital Byline:
Written by Aurora Hayes, CMT (Senior Profile Specialist) • Reviewed & Fact-Checked by Marcus Everett (Head of Proprietary Trading)
Audited Auction Market Theory Competencies
Aurora's curriculum operationalizes the core auction market concepts audited across Thru Capital's foundational archives:
| Auction Market Concept |
Institutional Architecture |
Tactical Application |
| The Triad of Market Structure |
Price advertises opportunity, Time regulates opportunity, and Volume measures participant acceptance or rejection. |
Distinguishing temporary price spikes from true time-and-volume acceptance within auction boundaries. |
| Initial Balance (IB) Extensions |
The price range carved out during the first 60 minutes (Periods A and B), acting as the session volatility baseline. |
Applying statistical $1.5\times, 2.0\times, 3.0\times$ extensions to identify Normal Days, Trend Days, and Double Distributions. |
| Buying & Selling Tails (Single Prints) |
Single vertical TPO letter columns reflecting rapid rejection and aggressive Other-Time-Frame (OTF) conviction. |
Anchoring structural trend defense lines; forecasting complete rotational retracements upon single-print fills. |
| Poor Highs & Poor Lows |
Price extremes characterized by flat profile cutoffs lacking excess single prints, signaling incomplete mechanical auctions. |
Targeting poor extremes as magnetic structural targets for subsequent session liquidity sweeps. |
| The Monday Range Framework |
Weekly auction benchmarks defined by the Monday High (PMH), Monday Low (PML), and Mid-Pivot. |
Trading range quarter deviations ($0\text{--}25\%$, $75\text{--}100\%$) and fading stop sweeps via Swing Failure Patterns (SFP). |
Selected Masterclasses & Profile Guides
Core curriculum modules authored by Aurora Hayes on Thru Capital:
Auction Market Theory
The Three Dimensions of Market Structure: Price, Time & Volume
How continuous double auctions establish fair value and how to trade balanced versus imbalanced market regimes.
Market Profile
Initial Balance (IB) Dynamics: Trading 1.5x, 2.0x, and 3.0x Extensions
Using the first hour of trading to classify day types and project terminal session auction targets.
Execution Strategy
The Monday Range Framework: Institutional Mechanics of Weekly Levels
How to utilize Monday Highs and Lows as the primary baseline for liquidity sweeps and asymmetric mean reversions.
Market Profile
Finished vs. Unfinished Auctions: Demystifying Poor Highs and Poor Lows
Why flat profile boundaries represent incomplete auction business and act as high-probability future price magnets.
