Docs/Chapter 7
Chapter 7

NYSE/NASDAQ - The Original DEXs

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The New York Stock Exchange and NASDAQ are the original decentralized exchanges—if you define "decentralized" as "controlled by a cartel of broker-dealers instead of one entity." Together they facilitate $400 billion in daily volume across $50 trillion in market cap, extracting fees at every step while pretending to provide "price discovery" and "liquidity." They're Uniswap if Uniswap was owned by Citadel, required KYC to trade, and could halt trading whenever prices moved too much.

The Exchange Stack: How Orders Actually Execute

Modern stock exchanges are nothing like the movies—no trading floor, no shouting, just data centers in New Jersey:

The Modern Market Structure

// Order flow in U.S. equities
function executeOrder(order) {
    // Retail order enters at broker
    if (order.source === "retail") {
        // 90% never hit exchange
        return sellOrderToMarketMaker(order);  // Payment for order flow
    }
    
    // Institutional order
    route = smartOrderRouter(order);
    
    // Fragment across 16 exchanges
    exchanges = [
        "NYSE",      // 20% market share
        "NASDAQ",    // 15%
        "NYSE Arca", // 10%
        "BATS",      // 10%
        "IEX",       // 3% (the "good guys")
        // ...11 more dark pools and ATSs
    ];
    
    // Race to execute
    for (exchange of exchanges) {
        sendOrder(exchange, order.slice);
        // HFT firms front-run between exchanges
    }
}

It's like if Ethereum had 16 competing mempools and MEV bots could see your transaction in one before racing to sandwich you in another.

The Original IPO Launchpad: Token Generation for Corporations

IPOs (Initial Public Offerings) are the OG token launches:

The IPO Process

  1. Hire Investment Bank: Pay Goldman Sachs 7% (lol)
  2. File S-1: Disclose everything to SEC
  3. Roadshow: Shill to institutional investors
  4. Price Discovery: Bank decides price (not market)
  5. Allocation: Best clients get shares
  6. First Day Pop: Retail FOMOs in at 50% higher

IPO Fee Structure

Service Fee Who Pays What You Get
Underwriting 7% Company Goldman's reputation
Legal $2-5M Company 500 pages of disclaimers
Accounting $1-2M Company Numbers that add up
Marketing $500k-1M Company CNBC appearances
Listing $150-500k/year Company Ticker symbol

Total cost: 8-10% of raise. It's like paying 10% to launch a token, except you also give up control of your company.

The Underpricing Scam

IPOs systematically underprice by 15-20%:

  • Company wants: Maximum proceeds
  • Bank wants: Happy institutional clients
  • Result: Bank underprices, allocates to friends
  • Friends flip: Sell to retail on day 1
  • Retail holds bags: When price corrects

Example: Airbnb IPO

  • IPO Price: $68 (institutions only)
  • Opening Price: $146 (retail can buy)
  • Day 1 Close: $144
  • Money left on table: $5.3 billion

It's presale tokenomics where VCs get 50% discounts and dump on retail at "launch."

Exchange Technology: The Latency Arms Race

Modern exchanges are technology companies cosplaying as financial infrastructure:

The Speed Game

Component Latency Cost Why It Matters
Colocation <100 nanoseconds $10-50k/month Physical proximity
Microwave Network 8.5 milliseconds Chicago-NYC $300k/month Faster than fiber
FPGA Order Gateway <1 microsecond $500k setup Hardware acceleration
Market Data Feed <100 microseconds $100k/month See orders first

High-frequency trading firms spend billions to be microseconds faster. It's like MEV bots paying for dedicated nodes, custom hardware, and private mempools—except legal.

Exchange Matching Engines

NYSE and NASDAQ run different order matching algorithms:

NYSE: Price-time priority with DMM privileges

  • Designated Market Makers: See order flow early
  • Slow quote: 350 microsecond delay for humans
  • Fast quote: Direct feed for HFT firms

NASDAQ: Pure price-time priority

  • No designated MM: More "fair"
  • Speed advantage: Colocation wins
  • Maker-taker: Pay to remove, paid to provide

It's like different DEX bonding curves—each optimizes for different participants.

Market Makers: The Original Liquidity Providers

Market makers provide liquidity like Uniswap LPs, except they can see your order before deciding whether to fill it:

Major Market Makers

Firm Daily Volume Strategy Edge
Citadel Securities $350B PFOF + HFT See 40% of retail orders
Virtu $200B Pure HFT Profitable 1,238 straight days
Jane Street $150B ETF arbitrage ETF creation/redemption
Two Sigma $100B Statistical arb AI/ML models
Jump Trading $100B Cross-exchange Latency arbitrage

How Market Making Works

// Simplified market maker logic
function marketMake(symbol) {
    // Post quotes on both sides
    bid = marketPrice - spread/2;
    ask = marketPrice + spread/2;
    
    // Adjust based on order flow
    if (buyPressure > sellPressure) {
        // Raise both quotes
        bid += 0.01;
        ask += 0.01;
        // Reduce bid size, increase ask size
    }
    
    // Cancel if news detected
    if (newsAlert || unusualVolume) {
        cancelAllOrders();
        waitForStability();
    }
    
    // Always profit on spread
    profit = (ask - bid) * volume;
}

They profit from spread while pretending to provide a service. It's like Uniswap v3 LPs but with the ability to pull liquidity microseconds before large trades.

Payment for Order Flow: The Original MEV

Payment for Order Flow (PFOF) is institutionalized front-running:

How PFOF Works

  1. You place order on Robinhood
  2. Robinhood sells order to Citadel
  3. Citadel executes at slightly worse price
  4. You get "free" trade (but worse execution)
  5. Robinhood gets paid $0.001-0.003 per share
  6. Citadel profits from spread + information

PFOF Revenue (2023)

Broker PFOF Revenue Users Per User
Robinhood $425M 23M $18.48
TD Ameritrade $372M 12M $31.00
E*TRADE $229M 5M $45.80
Charles Schwab $187M 34M $5.50

The Conflict of Interest

Brokers must get "best execution" but:

  • Legal Definition: Not worse than NBBO (National Best Bid/Offer)
  • Reality: NBBO is stale, real price is better
  • Citadel's Edge: Executes at NBBO, keeps improvement
  • Your Loss: Few cents per share = billions annually

It's like if MetaMask sold your transactions to MEV bots but claimed it was "free" because there's no explicit fee.

Dark Pools: The Original Private Mempools

Dark pools are private exchanges where large trades happen invisibly:

Major Dark Pools

Pool Owner Volume Purpose
Crossfinder Credit Suisse $15B/day Institutional crossing
Sigma X Goldman Sachs $12B/day Prop trading + clients
MS Pool Morgan Stanley $10B/day Wealth management
JPM-X JPMorgan $8B/day Everything
Level ATS Citadel $30B/day Retail internalization

Dark Pool Advantages

  • No Information Leakage: Orders invisible until executed
  • Reduced Market Impact: Large blocks don't move price
  • Price Improvement: Can trade inside NBBO
  • Lower Fees: No exchange fees

The Dark Reality

// What really happens in dark pools
function darkPoolOrder(order) {
    // HFT firm is "liquidity provider"
    if (hftSeesOrderFirst(order)) {
        // Race to exchanges
        frontRun(order);
        
        // Then fill in dark pool
        fillAtWorsePrice(order);
    }
    
    // Bank trading against clients
    if (bankPropDeskWantsOtherSide(order)) {
        takeOppositePosition();
        fillClientOrder();
        profit = clientLoss;
    }
}

It's like private mempools where the block builder also trades against you.

Circuit Breakers: The Original Pause Mechanism

Exchanges halt trading when prices move too fast—protocol-level circuit breakers:

Market-Wide Circuit Breakers

S&P 500 drop triggers halt:

  • Level 1: -7% = 15-minute halt
  • Level 2: -13% = 15-minute halt
  • Level 3: -20% = close for day

Individual Stock Halts

  • T1 Halt: News pending
  • T2 Halt: News released
  • T5 Halt: 10% move in 5 minutes
  • T12 Halt: Regulatory concern
  • LUDP: Volatility outside bands

The GameStop Saga

January 2021 exposed the system:

  • Day 1: GME up 100%, halted 9 times
  • Day 2: Up another 50%, halted 12 times
  • Day 3: Robinhood stops buys (not sells)
  • Result: Price crashes, retail destroyed

Imagine if Uniswap could disable swaps in one direction when whales were losing money. That's literally what happened.

The NBBO: National Best Bid and Offer

The NBBO is supposed to ensure best execution:

How NBBO Works

// NBBO calculation across exchanges
function calculateNBBO(symbol) {
    bids = [];
    asks = [];
    
    for (exchange of allExchanges) {
        bids.push(exchange.getBestBid(symbol));
        asks.push(exchange.getBestAsk(symbol));
    }
    
    NBBO = {
        bid: Math.max(...bids),
        ask: Math.min(...asks),
        spread: ask - bid
    };
    
    // But HFT sees this before you
    // And NBBO is already stale when published
    return NBBO;
}

NBBO Problems

  • Latency: Stale by microseconds
  • Fragmentation: 16 exchanges to check
  • Gaming: HFT firms quote stuff to manipulate
  • Exclusions: Doesn't include dark pools

It's like using a Chainlink oracle that updates every second when MEV bots trade on nanosecond information.

Exchange Fees: The Original Protocol Revenue

Exchanges charge everyone for everything:

NYSE Fee Schedule

Service Fee Who Pays Annual Revenue
Listing $150-500k Companies $500M
Trading $0.0030/share Traders $1.5B
Market Data $3,000/month Everyone $800M
Connectivity $10-50k/month HFT firms $300M
Colocation $10-40k/month HFT firms $200M

The Data Feed Monopoly

Exchanges sell market data multiple times:

  1. SIP Feed: Consolidated, slow, $3k/month
  2. Direct Feeds: Fast, per exchange, $10k/month each
  3. Level 2: Full depth, $50k/month
  4. Historical: Terabytes, $100k+

They create the data (by running matching), then charge you to see it. It's like if Ethereum charged you to query the blockchain.

The Options Market: Leveraged Degeneracy

Stock options trade on separate exchanges with even worse mechanics:

Options Exchanges

Exchange Volume Specialty Fuckery Level
CBOE 40% SPX index options Maximum
NYSE Arca 20% Equity options High
NASDAQ 15% Tech options High
BOX 10% Price improvement Medium

The Options MEV

Market makers in options have massive edge:

  • See Stock Order Flow: From PFOF
  • Hedge Instantly: Before filling your option
  • Pin Strikes: Manipulate stock to max-pain
  • Volatility Games: Crush IV after you buy

It's like if Uniswap LPs could see your swap, trade on another DEX first, then fill your order at worse price.

Clearing and Settlement: The Slow Finality

Stocks settle T+2 (two days after trade) through DTCC:

The Settlement Stack

// Day 0: Trade
executeTrade(buyer, seller, shares, price);

// Day 0 + few hours: Clearing
netAllTrades();  // Net buyer owes $X, seller owes Y shares

// Day 1: Nothing visible happens
waitingForSettlement();

// Day 2: Settlement
if (sellerHasShares && buyerHasCash) {
    transferShares();
    transferCash();
} else {
    FAIL_TO_DELIVER++;  // Just increment a counter lol
}

Failure to Deliver

When sellers don't have shares:

  • Daily FTDs: $50-100B (yes, billion)
  • Penalty: Almost nothing
  • Solution: Borrow shares later (maybe)
  • Result: Phantom shares in system

It's like if you could sell tokens you don't have and maybe deliver them later. Actually, it's exactly that.

The Reg NMS Disaster: Regulatory Capture

Regulation NMS (2005) was supposed to create fair markets:

What Reg NMS Did

  • Order Protection Rule: Must route to best price
  • Result: Complexity that benefits HFT
  • Access Rule: Fair access to quotes
  • Result: Everyone pays for access
  • Sub-Penny Rule: No quotes below $0.01
  • Result: HFT games around penny

It created the fragmented mess that enables all modern market structure exploitation.

Exchange Competition: The Race to Zero

Exchanges compete on:

  • Speed: Microseconds matter
  • Rebates: Pay for liquidity
  • Order Types: 100+ types, mostly for HFT
  • Data: Sell same data multiple ways
  • Access: Colocation, wireless, fiber

New entrants trying to fix it:

  • IEX: Speed bump to stop HFT
  • MEMX: Owned by retail brokers
  • LTSE: Long-term focused

But they all end up playing the same games because that's where the money is.

International Connections: Cross-Border Arbitrage

U.S. exchanges connect globally:

Dual Listings

Companies list on multiple exchanges:

  • NYSE + LSE: European access
  • NASDAQ + TSX: Canadian liquidity
  • NYSE + Tokyo: Asian hours trading

ADRs (American Depositary Receipts)

Foreign stocks wrapped for U.S. trading:

  • Sponsored: Company cooperates
  • Unsponsored: Bank creates without permission
  • Arbitrage: Price differences between markets

It's like wrapped tokens but for stocks. Same problems, same arbitrage opportunities.

The Future: 24/7 Trading and Tokenization

Exchanges moving toward crypto model:

24/7 Trading

  • Robinhood: 24/7 for some stocks
  • Blue Ocean: 24/5 ATS
  • Nasdaq Digital: Exploring crypto integration

Stock Tokenization

  • FTX (RIP): Had tokenized stocks
  • Binance: Pulled stock tokens after regulatory pressure
  • DeFi protocols: Synthetic stocks (SNX, Mirror)

The Convergence

Traditional exchanges becoming more like crypto:

  • Instant Settlement: Moving to T+0
  • Extended Hours: Moving to 24/7
  • Digital Assets: Trading crypto
  • Smart Contracts: Exploring programmable settlement

While crypto exchanges becoming more like TradFi:

  • KYC Everything: No more anon
  • Circuit Breakers: Halting trades
  • Market Makers: Privileged participants
  • PFOF: Selling order flow

Conclusion: Same Game, Different Technology

NYSE and NASDAQ are proof that "decentralized" doesn't mean fair—just distributed exploitation. They're:

  • Fragmented: 16 venues, infinite complexity
  • Gamed: Every rule exploited by HFT
  • Extractive: Fees at every level
  • Opaque: Dark pools, hidden orders
  • Captured: Regulators work for Wall Street

The U.S. equity market is $50 trillion of value traded through systems designed in the 1970s, regulated by rules from 2005, exploited by technology from 2024.

Every problem in crypto exists in TradFi:

  • MEV: Payment for order flow
  • Frontrunning: Latency arbitrage
  • Manipulation: Spoofing, layering, momentum ignition
  • Centralization: Citadel handles 40% of retail
  • Unfairness: Institutions see everything first

The difference? In TradFi it's legal and institutionalized.

The stock market isn't broken—it's working exactly as designed. Designed to extract value from retail, concentrate profits in market makers, and maintain the illusion of fair price discovery while enabling systematic exploitation at every level.

Welcome to the original DEX, where decentralization just means more ways to get rugged.