
Trading & Options · Volume 6 of the Equation Series
The Edge Equation
How Traders and Trading Systems Create, Capture and Destroy Value
By Thomas Kofi Annan · First edition, 2026
In 2025 Americans and the firms that served them traded more listed options than in any year before. 3% on 2024, and logged the 32 busiest days in its history. 2% in July 2026 (Cboe). On the other side of much of that trading sat a small number of firms. Read more
- 25
- chapters
- 24
- industry studies
- 100
- companies
- 751
- moves
Complete EditionBest value
Everything above, at the best price
PDF + EPUB + M4B
$99
The Book
25 chapters · ~109,000 words
PDF + EPUB, plus the narrative edition
$29
Research Companion
24 studies · 100 profiles · 751 moves · ~1.6 million words
PDF + EPUB, plus the narrative edition
$59
Audiobook
17 hr 28 min across 1 volume
M4B (chaptered)
$39
From the preface
The edge equation
In 2025 Americans and the firms that served them traded more listed options than in any year before. The Options Clearing Corporation cleared about 15.26 billion contracts, up 24.3% on 2024, and logged the 32 busiest days in its history. Options on the S&P 500 index that expired on the day they were traded made up a record 59% of the index's options volume for the year, and 66.2% in July 2026 (Cboe). On the other side of much of that trading sat a small number of firms. Reuters reported in April 2026, from documents and anonymous sources that the firms did not confirm, that Jane Street's net trading revenue in 2025 was about $39.6 billion, a figure that reportedly included gains from revaluing private stakes, and that Hudson River Trading and Citadel Securities had about $12 billion each. In India, whose National Stock Exchange had become the world's largest derivatives exchange by contracts traded, the securities regulator had found that 93% of 1.13 crore individual futures and options traders lost money over the three years to March 2024, about ₹1.81 lakh crore in all (SEBI, September 2024). The same contracts, at the same prices, made a few firms some of the most profitable businesses in finance and made most of the individuals who traded them poorer.
The difference is rarely the cleverness of the idea. This book argues that durable trading profit exists only when four things are true at once, and that the factors multiply rather than add: if any is zero, the result is zero. There must be an edge: a positive expected value after costs, with a source that can be named, a risk premium someone pays to shed, a behavioural or structural mispricing, information, or speed and liquidity provision, and evidence that survives out of sample. There must be survival: sizing and leverage such that the worst plausible sequence of results does not end the game, whether it arrives as a margin call, an overnight gap or the crash that a seller of insurance is paid to bear. There must be execution: costs, liquidity, capacity, technology and operations that let the edge be captured at the size the trader needs. And there must be discipline and adaptation: following the rules through drawdowns, watching for decay, and capital that stays. Around those four factors sit two forces that no trader controls, the market regime and the rules. They do not decide whether a trader is sound, but they decide how long an unsound one survives. Most of the failures in this book come from treating one factor as proven because another was: a high win rate mistaken for an edge, a backtest mistaken for evidence, an edge mistaken for survival, a zero commission mistaken for zero cost, and a good five years mistaken for a strategy.
The twenty-five chapters develop that view in seven parts. Part I explains why most traders lose and a few firms win, how trading became a business, who is on the other side of a trade, and how to tell evidence of an edge from a story about one. Part II takes the markets and their players in turn: options and the business of selling insurance, volatility as an asset, market makers and the speed business, hedge funds, quants and pod shops, trend followers and macro traders, exchanges, brokers and the retail boom, and futures, foreign exchange and crypto. Part III examines what it takes to build a system that works: an edge that can be named, options income done right and wrong, trend, momentum and factors, arbitrage and relative value, sizing and survival, and costs, taxes and execution. Part IV covers capacity, crowding and decay, the rules and regulators that license trading, blow-ups and how they happen, and technology, data and artificial intelligence. Part V turns to people: the psychology of trading, and how a trading business or career is built. Part VI reads five cases side by side and sets out the scorecard of the companion's 118 trading systems, and the Practical Reference supplies worked examples, checklists, a glossary and a guide to the evidence. Each chapter opens with a documented case, explains the mechanics it illustrates, works one stylized example and closes by naming the factor of the equation on which its case turned.
The book · ~109,000 words
Contents
Each chapter has a free preview of its opening and section list.
Part I
Foundations
Part II
The Markets and Players
Part III
Building a System That Works
Part IV
Scaling, Capital and Rules
Practical Reference
Appendices
- AWorked Trading Examples
- BTools and Checklists
- CGlossary
- DSources and the Research Companion
Trading and Options Research Companion · Part I
24 industry studies
The companion opens with an in-depth study of each part of the industry, backed by 12 technical exhibits: worked examples, diligence checklists and case studies.
Trading and Options Research Companion · Part II
100 companies, 751 strategic moves
A profile of each company, followed by its defining moves year by year from 1892 to 2026: what was decided, why, how it was financed, and what happened next.
- Alameda Research8
- Amaranth Advisors6
- AQR Capital Management9
- Archegos Capital Management7
- Aspect Capital8
- Barings and Nick Leeson6
- Berkshire Hathaway Derivatives8
- BitMEX8
- BlueCrest Capital Management9
- Brevan Howard9
- Bridgewater Associates9
- Campbell & Company8
- Capital Fund Management (CFM)8
- Cboe Global Markets9
- Charles Schwab and thinkorswim8
- Chesapeake Capital7
- Citadel LLC9
- Citadel Securities9
- CME Group9
- Coinbase Derivatives8
- D. E. Shaw8
- Da Vinci Derivatives (Da Vinci Trading)6
- Deribit8
- DRW8
- Dunn Capital Management9
- Duquesne (Stanley Druckenmiller)6
- eToro8
- Eurex and Deutsche Börse7
- Euronext and LIFFE7
- Flow Traders9
- Futu Holdings9
- FXCM and the Franc Shock7
- GSA Capital6
- High-Flyer Quant7
- Hudson River Trading8
- Hunt Brothers and Silver6
- IG Group8
- IMC Trading9
- Infinity Q Capital Management6
- Interactive Brokers9
- Jane Street10
- Japan Exchange Group8
- Jesse Livermore6
- John W. Henry & Company8
- JPMorgan London Whale7
- Jump Trading9
- Kidder Peabody and Joseph Jett6
- Knight Capital6
- Korea Exchange8
- Kynikos Associates (Jim Chanos)7
- Larry Williams5
- Linda Bradford Raschke5
- LJM Partners6
- Long-Term Capital Management7
- Macquarie Group7
- Malachite Capital Management5
- Man Group and Man AHL9
- Mark Minervini6
- Marshall Wace8
- Melvin Capital7
- Metallgesellschaft (MG Refining & Marketing, 1991–1995)6
- Millennium Management8
- National Stock Exchange of India10
- Nicolas Darvas5
- Options Clearing Corporation (OCC)8
- Optionsellers.com5
- Optiver9
- Paulson & Co.7
- PEAK69
- Point72 / SAC Capital8
- Princeton Newport Partners7
- Qube Research & Technologies (QRT)8
- Renaissance Technologies9
- Robinhood10
- Salomon Brothers Arbitrage Group7
- Saxo Bank8
- Scion Capital (Michael Burry)7
- Société Générale and Jérôme Kerviel6
- Soros Fund Management10
- Squarepoint Capital6
- Sumitomo Copper and Yasuo Hamanaka6
- Susquehanna International Group8
- Takashi Kotegawa (BNF)5
- tastytrade7
- Three Arrows Capital7
- Tower Research Capital7
- Tudor Investment Corp7
- Turtle Traders7
- Two Sigma8
- Ubiquant7
- UBS and Kweku Adoboli6
- Universa Investments9
- Virtu Financial9
- William O'Neil and IBD6
- Wintermute8
- Winton Capital (Winton Group)9
- Wolverine Trading6
- XIV and Volmageddon7
- XTX Markets8
- Zerodha8
Companion · Trading Systems Catalogue
118 documented trading systems, graded A–F on the evidence
Each system covers what it does, where its edge comes from, its mechanics, costs, capacity and risks, how it fails, who is documented using it, and whether its track record is live or only backtested.
Options Income and Premium Selling (10)
- Calendar and Diagonal Spreads
- Cash Secured Put Write
- Collar and Protective Put
- Covered Call Buy Write
- Iron Butterfly and Butterflies
- Iron Condor and Credit Spreads
- Ratio Spreads and Jade Lizard
- Short Strangle and Straddle
- The Wheel
- ZeroDTE Premium Selling
Volatility Risk Premium and Volatility Trading (10)
- Delta Hedged Short Options Variance Risk Premium
- Dispersion and Correlation Trading
- Earnings Implied Move Selling
- Gamma Scalping Long Options
- Long VIX and Tail Hedging Overlays
- Short VIX Futures Roll Carry
- Skew and Risk Reversal Trading
- Term Structure Trading
- Variance and Volatility Swaps
- Volatility Arbitrage Forecast vs Implied
Trend Following and Time Series Momentum (10)
- Channel and ATR Breakout Systems
- Crisis Alpha Trend Plus Equity
- Darvas Box
- Dual Momentum
- Long Term Trend Commodities
- Moving Average Crossover and 200 Day Filter
- Time Series Momentum Diversified Futures
- Trend Following on Single Stocks
- Turtle Donchian Breakout
- Volatility Targeted Trend
Cross Sectional Factors and Anomalies (11)
- CAN SLIM
- Cross Sectional Momentum
- Greenblatt Magic Formula
- Low Volatility and Betting Against Beta
- Multi Factor Smart Beta
- Piotroski F Score
- Post Earnings Announcement Drift
- Quality and Profitability
- Short Term Reversal
- Size Small Cap Premium
- Value HML
Mean Reversion and Statistical Arbitrage (9)
- Bollinger Band Reversion
- ETF and Closed End Fund Discount Arbitrage
- Index Reconstitution and Rebalancing
- Leveraged ETF Rebalancing Flow
- Opening Gap Fade
- Overnight vs Intraday Returns
- Pairs Trading
- RSI2 and Short Term Oversold Index
- Residual Statistical Arbitrage
Carry and Relative Value (10)
- Bond Carry and Roll Down
- Capital Structure Arbitrage
- Commodity Roll Yield and Curve Carry
- Convertible Arbitrage
- Crypto Perpetual Funding Basis
- Dividend and Tax Arbitrage
- FX Carry Trade
- Merger Arbitrage
- On the Run Off the Run
- Treasury Cash Futures Basis Trade
Event Driven and Calendar Effects (10)
- Analyst Revision and Short Interest Signals
- Earnings Announcement Premium
- FOMC Pre Announcement Drift
- Insider Buying and Clone Strategies
- January and Holiday Effects
- Options Expiration Week Effects
- SPAC Trust Floor Arbitrage
- Sell in May Halloween
- Spin Offs
- Turn of the Month
Market Making and Liquidity Provision (8)
- Block and Risk Trading
- Crypto Market Making
- ETF Market Making
- Equity Market Making and HFT
- Latency Arbitrage
- Options Market Making Delta Hedged
- Rebate Capture
- Retail Order Flow Internalisation PFOF
Arbitrage (8)
- ADR and Dual Listed Share Arbitrage
- Box Spreads as Financing
- Closed End Fund Activist Arbitrage
- Cross Exchange Crypto Arbitrage
- Index Arbitrage Futures vs Basket
- Prediction Market and Sports Arbitrage
- Put Call Parity Conversions and Reversals
- Triangular and Cross Venue FX Arbitrage
Macro Allocation and Spread Trading (8)
- Commodity Spread Trading Crack and Crush
- Currency Peg and Central Bank Trades
- Global Macro Discretionary
- Risk Parity
- Seasonal Futures Spreads
- Sixty Forty Rebalancing Premium
- Tactical Asset Allocation Momentum Rotation
- Yield Curve Steepener Flattener
Tail Hedging and Convexity (7)
- Barbell Taleb Style
- CDS and Credit Shorts
- Long Volatility Funds Allocation
- Put Spread Collars
- Systematic OTM Put Buying
- Trend Plus Tail Combination
- VIX Call Overlays
Retail and Day Trading Systems (12)
- Buying Short Dated OTM Options Lottery
- Candlestick Patterns
- Chart Patterns Head and Shoulders and Friends
- Copy Trading and Signal Services
- Elliott Wave and Fibonacci
- Leveraged ETF Buy and Hold
- Martingale and Grid Bots
- Momentum Growth Swing Trading SEPA VCP
- Opening Range Breakout
- Prop Firm Challenges
- Smart Money Concepts ICT
- VWAP Reversion and Scalping
Machine Learning Alternative Data and AI (5)
- Alternative Data Satellite Card Web
- LLM and AI Trading Bots
- Machine Learning Return Prediction
- News and Social Sentiment
- Order Book and Microstructure ML
Audiobook & narrative editions
17 hr 28 min of narration
Both volumes are rewritten as narrative editions that read straight through, in long-form prose instead of tables. The audiobook is narrated from those editions as chaptered M4B files that play in Apple Books, VLC, BookPlayer and most audiobook apps.
- The Book17 hr 28 min
Appendix C
Glossary: 161 terms
- 0DTE
- An option traded on the day it expires ("zero days to expiry"); same-day options made up a record 66.2% of SPX volume in July 2026 (Cboe).
- 60/40 treatment
- The tax treatment of Section 1256 contracts, under which gains and losses count as 60% long-term and 40% short-term whatever the holding period.
- Adverse selection
- The loss a liquidity provider suffers from trading with counterparties who know more than it does about the next price move.
- Alpha
- Return not explained by exposure to the market or to known factors; what remains after a factor regression.
- Alternative data
- Non-traditional data, such as card transactions, satellite images or web traffic, used to forecast prices or company results.
- American option
- An option that can be exercised at any time before expiry; most US single-stock and ETF options are American.
- Anchoring
- Fixing on a reference number, such as the purchase price or a round number, when judging value.
- Arbitrage
- Buying and selling the same or equivalent claims at different prices to lock in the difference; in practice most arbitrage carries some risk of the gap widening before it closes.
From the blog
Read before you buy
Complete guide
How Trading Firms Make Money: The Business of Trading Explained
Trading firms make money from spreads, risk premia, order flow, fees and speed, mostly at the expense of other traders. Here is who wins, who pays and why.
14 min read
Explainer
How Payment for Order Flow Works: Robinhood, Citadel and You
Payment for order flow is how commission-free brokers like Robinhood get paid: wholesalers such as Citadel Securities pay to fill your orders. Here is how it works.
8 min read
Guide
How to Spot Backtest Overfitting: A 20-Question Checklist
Most backtests look better than the live results that follow. Here is how to spot overfitting, with the statistics, the common biases and a 20-question checklist.
9 min read
The Edge Equation
Learn the framework from the book. Test it against the companion.
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