Phase 3 introduction
Market microstructure. Understand how an order becomes a fill, slippage, and a price, and how leverage turns declines into chain reactions.
What this phase establishes
The first two phases treated price as a randomly changing number. This phase opens its internals: order books, liquidity, market makers, venues, derivatives, and liquidation.
You will understand why your market order costs more than the screen price, why the same order costs more late on a weekend, why an exchange lets you hold a full position with a fraction of its value deposited, and why declines often accelerate faster than anyone expects.
It is also the first phase targeted by the 3D edition: order books, liquidity, leverage, and liquidation cascades account for four of the six 3D MVP simulations.
Six chapters
What happens in the book when you click market buy?
Why does a $1 million purchase barely move one coin but move another by several percent?
Why is quoting both sides and earning the spread harder than it looks?
Why do exchanges, on-chain AMMs, and aggregators quote and execute the same coin differently?
Spot, dated futures, and perpetuals all say buy BTC. What differs?
Why can a decline accelerate beyond anyone's expectations?
Phase project: Crypto Market Structure Report
Choose a token (BTC, ETH, SOL, or a smaller token you follow) and write a market-structure report. Date and source every number. No orders or account login are needed.
- Where it trades (Chapter 16): centralized exchange spot and perpetuals, and on-chain pools. Give two or three actively traded venues in each category.
- How deep it is (Chapters 13 and 14): record “±2% depth” from two public order books; calculate average fill prices and slippage for $10,000 and $1,000,000 buys.
- How large an on-chain pool is (Chapter 16): record both reserve quantities in a major pool; estimate impact for the same notional using “twice the purchase amount ÷ dollar reserves in the pool.”
- How crowded derivatives are (Chapter 17): perpetual funding, annualized basis of a dated future, and recent open-interest changes.
- How a decline might amplify (Chapter 18): combine depth and derivative crowding to describe what might happen after a 5% price drop.
- Conclusion: roughly what is your maximum single order in this market? Where should it execute? Under which conditions would you pause?
Copy this outline:
# <Token> Market Structure Report (observed: YYYY-MM-DD HH:MM)
## 1. Venues
- Centralized exchanges:
- On-chain pools:
- Perpetuals:
## 2. Depth and slippage
| Exchange | ±2% depth | Slippage buying $10,000 | Slippage buying $1,000,000 |
| --- | --- | --- | --- |
## 3. On-chain pool
- Pool: Reserve quantities: Estimated impact ($1,000,000):
## 4. Derivatives
- Funding: Annualized basis: Open-interest change:
## 5. If price falls 5%
## 6. Conclusion
- Maximum single order:
- Execution venue:
- Pause conditions:Knowledge nodes
| concept_id | Nodes | Foundation | Advanced | 3D |
|---|---|---|---|---|
| TRD-MICRO-001 | Order book Order Book | Chapter 13 | E | Order book |
| TRD-MICRO-002 | Liquidity Liquidity | Chapter 14 | E | Liquidity |
| TRD-MICRO-003 | Market making Market Making | Chapter 15 | E | Market making |
| TRD-MICRO-004 | Crypto market structure Crypto Market Structure | Chapter 16 | E | — |
| TRD-MICRO-005 | Derivatives and leverage Derivatives & Leverage | Chapter 17 | B | Leverage |
| TRD-MICRO-006 | Liquidation feedback Liquidation Feedback | Chapter 18 | B | Liquidation cascade |
Self-test before skipping
If you have live trading experience and answer all six correctly, you may start from Phase 4.
No. 60,005 is below the lowest ask of 60,010. It rests in the book as the new best bid, waiting for someone to sell into it. (Chapter 13)
Nearly four times. The price increase and the average-price increase are each proportional to notional; extra dollars paid are their product. (Chapter 14)
Income comes from earning half the spread on each fill. Losses come from informed counterparties selecting its quotes (adverse selection) and price changes on inventory. The former is systematic; the latter produces the largest daily swings, so inventory dominates market-making risk controls. (Chapter 15)
A pool's price changes only when someone trades. Arbitrageurs buy at its old price and value or sell elsewhere at the new price, moving the pool price higher. The difference is borne by pool depositors. (Chapter 16)
Three payments per day give approximately 10.95% per year. Hot markets may reach 0.05%, roughly 54.75% per year. (Chapter 17)
With a 0.5% maintenance margin rate, approximately 9.55%. Liquidation sells at market, lowering prices and crossing the next positions' liquidation thresholds. If every 1% drop triggers more selling than the book can absorb, the decline self-accelerates. (Chapters 17 and 18)