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FRX

FRX Archive

KNOWLEDGE INFRASTRUCTURE

A hybrid environment pairing proprietary documentation with video-based execution logic.

FROM PUBLIC FOUNDATION TO RESTRICTED EDGE.

Built to transfer independence, not manufacture dependence.

A single principle

Most trading education keeps operators dependent. This is constructed to do the opposite.

Built to transfer experience — the logic of markets, the mechanics of execution, the architecture of risk — in a form thorough enough that, one day, the reader no longer requires it.

How it's structured

Organized by domain, not difficulty.

Two access layers: public foundation (open) and restricted depth (members). Every module versioned, cross-referenced, and continuously refined.

Two tiers. One Library.

Open Access

Public Foundation

Open primers that establish language, frameworks, and operating context.

Designed as durable onboarding for independent study and replay.

-> Core primers -> Public videos -> Glossary systems -> Starter playbooks

Member Only

Restricted Depth

Advanced modules, desk protocols, and execution architecture beyond foundational coverage.

Versioned updates with dense links across domains and operational use-cases.

-> Advanced protocols -> Restricted terminal -> Full module trees -> Case intelligence

Every domain, mapped.

Click any Row to expand the preview Tree

1.1 Order Book Dynamics

1.1.1 LOB Mechanics
1.1.2 Bid-Ask Spread Formation
1.1.3 Order Book Imbalance

1.2 Price Discovery

1.2.1 Auction Mechanisms (Opening, ...)
1.2.2 Information Incorporation Models
1.2.3 Price Impact Functions

1.3 Market Maker Models

1.3.1 Avellaneda-Stoikov Framework
1.3.2 Guéant-Lehalle-Fernandez-Tapia
1.3.3 Inventory Risk Management

2.1 Execution Algos

2.1.1 VWAP
2.1.2 TWAP
2.1.3 Implementation Shortfall

2.2 Signal-Driven Systems

2.2.1 Momentum &Trend-Following Algos
2.2.2 Mean Reversion Algos
2.2.3 Statistical Arbitrage Engines

2.3 Adaptive Systems

2.3.1 Multi-Agent Trading Systems
2.3.2 Reinforcement Learning Trading Agents
2.3.3 Deep RL Portfolio Optimization

3.1 Factor Models

3.1.1 CAPM & Single-Factor
3.1.2 Fama-French 3/5-Factor
3.1.3 Carhart Momentum Factor

3.2 Time Series Models

3.2.1 ARIMA / SARIMA / ARIMAX
3.2.2 GARCH Family (EGARCH, GJR-GARCH, DCC-GARCH)
3.2.3 Stochastic Volatility (Heston, SABR)

3.3 Derivatives Pricing

3.3.1 Black-Scholes-Merton
3.3.2 Local Volatility (Dupire)
3.3.3 Stochastic Volatility Models

4.1 Supervised Learning

4.1.1 Linear/Logistic Regression for Alpha
4.1.2 Tree-Based Models (XGBoost, LightGBM, CatBoost)
4.1.3 Support Vector Machines

4.2 Unsupervised Learning

4.2.1 Clustering (K-Means, DBSCAN, Gaussian Mixture)
4.2.2 Dimensionality Reduction (t-SNE, UMAP, Autoencoders)
4.2.3 Anomaly Detection

4.3 Reinforcement Learning

4.3.1 Q-Learning & Deep Q-Networks
4.3.2 Policy Gradient Methods (PPO, A2C, SAC)
4.3.3 Model-Based RL for Market Simulation

5.1 Core ICT Framework

5.1.1 Market Structure (BOS, CHoCH, Swing Structure)
5.1.2 Order Blocks (Bullish OB, Bearish OB, Mitigation)
5.1.3 Fair Value Gaps (FVG / Imbalance)

5.2 ICT Time & Price Theory

5.2.1 ICT Killzones (London, New York, Asian)
5.2.2 ICT Power of Three (Accumulation, Manipulation, Distribution)
5.2.3 ICT Optimal Trade Entry (OTE)

5.3 ICT Institutional Models

5.3.1 ICT Market Maker Model (Buy/Sell Programs)
5.3.2 ICT Judas Swing
5.3.3 ICT Turtle Soup (Liquidity Grabs)

6.1 Technical Analysis - Classic

6.1.1 Support & Resistance
6.1.2 Trendlines & Channels
6.1.3 Volume Profile & Market Profile

6.2 Indicators & Oscillators

6.2.1 Moving Averages (SMA, EMA, DEMA, TEMA, Hull)
6.2.2 RSI, Stochastic, CCI, Williams %R
6.2.3 MACD & Signal Line Crossovers

6.3 Advanced Retail Frameworks

6.3.1 Elliott Wave Theory (Impulse, Corrective, Extensions)
6.3.2 Wyckoff Method (Accumulation, Distribution, Schematics)
6.3.3 Harmonic Patterns (Gartley, Butterfly, Bat, Crab, Cypher)

7.1 Equities

7.1.1 Single Stock Trading
7.1.2 Sector Rotation
7.1.3 Index Trading (S&P 500, NASDAQ, DAX, Nikkei)

7.2 Foreign Exchange (FX)

7.2.1 Major, Minor & Exotic Pairs
7.2.2 Carry Trade
7.2.3 Central Bank Intervention

7.3 Futures & Commodities

7.3.1 Futures Contract Mechanics (Roll, Basis, Contango/Backwardation)
7.3.2 Energy (Crude, Natural Gas, Power)
7.3.3 Metals (Gold, Silver, Copper, Platinum)

8.1 Macroeconomic Analysis

8.1.1 GDP, Inflation, Employment Data
8.1.2 Central Bank Policy (Fed, ECB, BOJ, BOE, PBOC)
8.1.3 Yield Curve Analysis & Inversion Signals

8.2 Equity Fundamentals

8.2.1 Financial Statement Analysis (Income, Balance Sheet, Cash Flow)
8.2.2 Valuation Models (DCF, Multiples, Residual Income)
8.2.3 Earnings Quality & Accruals Analysis

8.3 Alternative Data

8.3.1 Satellite Imagery (Parking Lots, Oil Storage, Shipping)
8.3.2 Credit Card & Transaction Data
8.3.3 Web Scraping & App Usage Data

9.1 Position-Level Risk

9.1.1 Stop-Loss Optimization
9.1.2 Position Sizing Models
9.1.3 Correlation-Adjusted Exposure

9.2 Portfolio-Level Risk

9.2.1 Portfolio VaR & ES Aggregation
9.2.2 Factor Exposure Management
9.2.3 Concentration Risk

9.3 Operational Risk

9.3.1 Fat Finger / Erroneous Trade Prevention
9.3.2 System Failover & Redundancy
9.3.3 Regulatory Breach Detection

10.1 Cognitive Biases in Trading

10.1.1 Overconfidence & Illusion of Control
10.1.2 Loss Aversion & Disposition Effect
10.1.3 Anchoring & Recency Bias

10.2 Emotional Regulation

10.2.1 Fear, Greed & FOMO Management
10.2.2 Tilt & Revenge Trading Prevention
10.2.3 Stress Response & Performance Under Pressure

10.3 Behavioral Finance Theory

10.3.1 Prospect Theory (Kahneman & Tversky)
10.3.2 Bounded Rationality (Simon)
10.3.3 Noise Trader Risk (DSSW Model)

11.1 Trading System Architecture

11.1.1 Event-Driven Architecture (EDA)
11.1.2 Complex Event Processing (CEP)
11.1.3 Message Queues (Kafka, ZeroMQ, Aeron)

11.2 Data Engineering

11.2.1 Tick Data Storage & Retrieval
11.2.2 Time-Series Databases (KDB+/q, InfluxDB, TimescaleDB)
11.2.3 Data Normalization & Symbology

11.3 Cloud & Compute

11.3.1 Cloud-Native Trading Infrastructure (AWS, GCP, Azure)
11.3.2 GPU Computing for Quant Research
11.3.3 Containerization (Docker, Kubernetes for Trading)

12.1 Global Regulatory Frameworks

12.1.1 SEC / FINRA (US Equities)
12.1.2 CFTC / NFA (US Derivatives)
12.1.3 MiFID II / MiFIR (EU)

12.2 Compliance Requirements

12.2.1 KYC / AML for Trading Firms
12.2.2 Position Limits & Large Trader Reporting
12.2.3 Short Selling Regulations

12.3 Tax & Accounting

12.3.1 Capital Gains Treatment by Jurisdiction
12.3.2 Mark-to-Market vs. Realized Accounting
12.3.3 Wash Sale Rules

13.1 Market History

13.1.1 Origins of Exchanges (Amsterdam, London, NYSE)
13.1.2 Evolution from Open Outcry to Electronic
13.1.3 Decimalization & Reg NMS

13.2 Financial Crises

13.2.1 1929 Crash & Great Depression
13.2.2 1987 Black Monday
13.2.3 1997 Asian Financial Crisis

13.3 Legendary Traders & Firms

13.3.1 Jesse Livermore
13.3.2 George Soros & Quantum Fund
13.3.3 Renaissance Technologies (Medallion Fund)

14.1 Seminal Papers

14.1.1 Efficient Market Hypothesis (Fama 1970)
14.1.2 Option Pricing (Black-Scholes 1973)
14.1.3 Prospect Theory (Kahneman & Tversky 1979)

14.2 Journals & Publication Venues

14.2.1 Journal of Finance
14.2.2 Review of Financial Studies
14.2.3 Journal of Financial Economics

14.3 Research Methodology

14.3.1 Empirical Asset Pricing Methods
14.3.2 Natural Experiments in Finance
14.3.3 High-Frequency Data Econometrics

16.1 Frontier AI Research

16.1.1 Foundation Models for Financial Markets
16.1.2 Causal Inference for Alpha Discovery
16.1.3 Graph Neural Networks for Market Networks

16.2 Market Simulation & Digital Twins

16.2.1 Agent-Based Market Simulators
16.2.2 Synthetic Order Book Generation
16.2.3 Digital Twin of Exchange Ecosystems

16.3 Novel Data Sources

16.3.1 Brain-Computer Interface Trading (Speculative)
16.3.2 IoT / Sensor Data for Commodity Trading
16.3.3 Drone & UAV Imagery for Agriculture

note: this is a listing of available domains in excerpt form. additional domains and modules exist beyond what is shown here. the full structure is continuously evolving and expanding.

Every domain, four ways in.

01/04

Research Papers

Structured reading paths from public primer to institutional-grade depth.

Public Primers · Member Deep-Dives

02/04

Video Protocols

Visual execution logic from public foundation to restricted terminal breakdowns.

YouTube & Social · Restricted Terminal

03/04

Technical Guides

Applied implementation notes for architecture, risk, and execution workflows.

Foundation Set · Member Vault

04/04

Case Studies

Real market scenarios with post-trade review, adaptation, and decision logic.

Member Only

FRX Academy

From zero -> to autonomy

A structured curriculum walk for operators starting from zero. Not a course, not a bootcamp - a three-stage path that takes you from complete newcomer to independent operator, then steps aside.

Start

Autonomy

01 / Foundation

Free - Public

Open-Source Foundation

Where everyone starts. No prerequisites.

The basics, democratized. Vocabulary, structure, and mental models needed to read any market without confusion.

VocabularyOrder BooksAsset ClassesRisk BasicsCharting

You understand what you are looking at - and why most retail strategies fail before the first click.

02 / Operator Intelligence

Members

Operator Intelligence

Where retail ends and operation begins.

The disciplines a real desk runs on - probability, psychology under fire, execution mechanics, risk architecture.

ProbabilityRisk ArchitecturePsychologyExecutionBacktesting

You evaluate any strategy with discipline and operate under pressure without breaking your own rules.

03 / Strategic Autonomy

Members

Strategic Autonomy

The end state. The reason this exists.

You stop absorbing and start authoring - synthesizing everything into a bespoke edge that fits you, not anyone else.

Edge SynthesisSystem DesignResearch LoopPortfolio Architecture

You no longer need to log in. You just trade - on your own architecture, at your own standard.

A real mentor is meant to be surpassed.

Enter Stage One - Free