QuantAbundanciaAbundance, Quantified.
BrokersActively using· US / global

Interactive Brokers

Pro-grade access to US + global equities, options, futures, FX. Lowest margin rates I've found at retail scale.

Signup bonus: Up to $1,000 of IBKR stock when you fund and trade your new account (T&Cs apply) - see details

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What I use it for

  • Long-only equity positions in the AI supercycle names. Most of my conviction trades sit here, not on a crypto venue.
  • Cash equities + ETFs across the US, plus the half of the AI supply chain that doesn't trade in US sessions - TSMC in Taipei, ASML in Amsterdam, Samsung and SK Hynix in Seoul.
  • Paper-trading every tradfi bot in the QuantAbundancia fleet before any of them sees real capital. The IBKR paper account is on the same API, the same fills model, the same gateway as the live account - what passes paper has a real chance of surviving live.
  • FX hedging when a position introduces unwanted currency beta.

Why I picked it

  • Margin rates. Competitive at retail size; the gap widens as the account grows. For a long-duration thematic book this compounds.
  • Real API. TWS / IB Gateway + the official Python client. Fills behave the way the docs say they behave. Order types I actually use (bracket, OCO, adaptive) all work programmatically.
  • Global venues, one account. TSMC, ASML, Samsung, SK Hynix, Tokyo Electron - the AI supercycle isn't a US-only trade. IBKR is the only retail broker I've found that gets me direct exchange access to all of them without ADR markup.
  • Paper account that matches live. Same gateway, same API surface, same data subscriptions. The translation cost from paper-validated to live is close to zero.
  • Jurisdiction. US-regulated entity. Statements reconcile cleanly for accounting.

Honest tradeoffs

  • The UI is built for institutions. TWS has a learning curve; if you're not going to use the API, the experience is worse than a modern app like Public or Robinhood.
  • Data subscriptions are à la carte. Real-time depth, exchange feeds, regional bundles - every line item is opt-in. Worth budgeting ~$10-30/month depending on what you actually want.
  • Customer support is slow and ticket-driven. Fine for me; not fine if you want hand-holding.
  • IB Gateway has its quirks: nightly reauth windows, occasional IBC re-login loops, the "unhealthy but Up" container state I learned to monitor for. None of these are dealbreakers, but you will operate the thing - it isn't a black box.
  • Withdrawal of margin cash is restricted on non-US-resident personal accounts. Worth checking against your own residency before you fund.

Bot infrastructure: every IBKR-routed bot in the fleet has its own runbook and walk-forward audit. See /bots/public for the live equity curves.

Related research

· 7 min read
Roundhill Neocloud ETF ($NCLD): the first concentrated US bet on GPU-as-a-Service
Roundhill filed $NCLD on May 22 2026 - a concentrated Neocloud ETF tied to GPU-as-a-Service, high-density AI datacenters, and AI networking. Likely holdings, the private capacity leaders, comparable ETFs, and what to track before launch.
· 8 min read
Neoclouds ranked by risk-adjusted value: CoreWeave, Nebius, IREN, Applied Digital, SharonAI
The market treats 'neocloud' as one trade. It is five very different risk bets, separated by valuation, leverage, and customer concentration - ranked here from CoreWeave to SharonAI.
· 9 min read
Why memory is the hardest thing to build - HBM, DRAM, NAND, and HDD ranked by difficulty
Ranked by how hard they are to build, memory goes HBM > DRAM > NAND > HDD. Difficulty maps onto market concentration and pricing power - the reason the DRAM deficit is more defensible than NAND's.
· 7 min read
Your first trade - a pre-flight checklist - trading basics, chapter 12
The whole beginner course distilled into the steps you run before clicking buy. A ten-point pre-trade checklist covering thesis, levels, risk, sizing, and the exits that have to exist before you enter.
· 7 min read
Why most trading strategies fail - curve-fitting and out-of-sample testing - trading basics, chapter 10
A beautiful backtest is the easiest thing to fake and the easiest way to lose money. What curve-fitting is, why a strategy that worked on the past can be worthless, and the walk-forward bar that 46% of QA's tested strategies failed.
· 8 min read
What moves a stock price - fundamentals, flows, and narrative - trading basics, chapter 6
Three forces move every stock: fundamentals (what the business earns), flows (who's forced to buy or sell), and narrative (the story the crowd believes). Why the third one drives bubbles, and how to tell which force is in control.
· 8 min read
What is short selling? Borrowing shares, unlimited risk, and short squeezes
Short selling means borrowing shares, selling them, and buying them back lower. The risk profile is inverted - gains cap at 100%, losses run unbounded - plus borrow fees and squeezes.
· 8 min read
What is an option? Contracts that transfer risk, not lottery tickets - options trading, chapter 1
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· 7 min read
What is a stock? Ownership, price, and why it moves - trading basics, chapter 1
A stock is a fractional ownership claim on a real business, not a lottery ticket. What you actually own, why the price moves second to second, and the one mechanic - buyers vs. sellers - behind all of it.
· 8 min read
What is a moving average? SMA vs EMA, crossovers, and what they actually tell you
A moving average smooths price by averaging the last N closes, recalculated each bar. SMA vs EMA, the 20/50/200-day lengths, golden and death crosses, and why MAs lag instead of predict.
· 9 min read
Vertical spreads explained - defined risk, defined reward - options trading, chapter 12
A vertical spread buys one option and sells another of the same type and expiry. How debit and credit spreads cap both loss and gain, with worked max-profit and max-loss math.
· 7 min read
Support, resistance, and Fibonacci retracement - finding levels that matter - trading basics, chapter 5
Support and resistance are price levels where the buyer/seller balance has flipped before. What makes a level real, why Fibonacci retracements work as a self-fulfilling map, and how to use levels to define risk instead of guessing.
· 8 min read
Strike price and expiration: how to read an option chain - options trading, chapter 3
The strike is the fixed price you can transact at; expiration is when the contract dies. Weeklies vs monthlies vs LEAPS, American vs European exercise, cash vs share settlement, and the chain.
· 8 min read
Straddles and earnings plays - why the move isn't enough - options trading, chapter 14
A long straddle bought before earnings often loses even when the stock gaps. The reason is IV crush. How the expected move is priced in, and why earnings is a volatility trade.
· 7 min read
R-multiple and expectancy - does your trading system actually make money? - trading basics, chapter 8
Win rate is the most over-rated number in trading. R-multiples measure every trade in units of risk, and expectancy tells you what you make per trade on average - the one number that decides if a system is worth running.
· 8 min read
Position sizing and risk - the 1% rule that keeps you in the game - trading basics, chapter 7
The reason most beginners blow up isn't bad picks - it's bad sizing. How the 1% risk rule works, why your stop distance sets your share count, and the math that lets you survive a losing streak you will absolutely have.
· 7 min read
Order types explained - market, limit, and stop orders - trading basics, chapter 3
The three orders every trader uses, and the slippage trap that empties beginner accounts. When a market order fills at a price you didn't expect, why limit orders trade certainty for control, and how stops actually work.
· 9 min read
Options risk management - the capstone checklist - options trading, chapter 16
The risks unique to options and the rules that contain them: premium-at-risk sizing, defined-risk structures, liquidity, and an eight-point pre-trade checklist.
· 8 min read
The Greeks: theta and vega - why direction isn't enough - options trading, chapter 8
Theta is the daily time decay you pay as a buyer and collect as a seller - and it accelerates near expiry. Vega is your exposure to IV swings, the engine behind IV crush. The two Greeks that beat correct directional calls.
· 8 min read
The Greeks: delta and gamma - your option's directional exposure - options trading, chapter 7
Delta is how much your option moves per $1 in the stock - and doubles as a rough probability and a shares-equivalent. Gamma is how fast delta itself changes. The two Greeks that govern direction, with worked examples.
· 8 min read
Option premium: intrinsic vs extrinsic value, and why OTM options decay to zero - options trading, chapter 4
The premium splits into intrinsic value (already in the money) and extrinsic time value (which decays to zero by expiration). Moneyness, a worked example, and what an option is worth at expiry.
· 8 min read
Iron condors and strangles - defined-risk range trades - options trading, chapter 13
Strangles and iron condors are how you bet that a stock stays quiet. Why the iron condor caps your risk, when high IV makes it pay, and a full four-leg numeric example.
· 8 min read
Implied volatility explained - why being right can still lose - options trading, chapter 6
IV is the market's forecast of movement, backed out of an option's price. What high vs low IV means, how IV rank works, and why IV crush makes you lose on a correct earnings call. The beginner's biggest trap.
· 8 min read
How to read an options chain - the columns that matter and the ones that trap you
An options chain looks like a wall of numbers; it's a structured table. What each column means (bid/ask, volume, open interest, IV, the Greeks), how to spot illiquid strikes, and how to pick an expiration and strike.
· 8 min read
How to read an earnings report - results vs expectations, guidance, and the call
A stock reacts to earnings versus what was priced in, not to the raw numbers. How to read revenue/EPS against estimates, why guidance moves the stock more than the quarter, and why good prints still drop.
· 7 min read
How to read a stock chart - candlesticks, timeframes, and volume - trading basics, chapter 4
A candlestick chart is a record of who won each time slice, buyers or sellers. How to read a single candle, why the timeframe changes the whole story, and what volume confirms - without the pattern mysticism.
· 7 min read
How stock markets actually work - exchanges, bid/ask, and liquidity - trading basics, chapter 2
Behind every trade is an order book matching buyers to sellers. What an exchange really is, why the bid/ask spread is a hidden cost, how liquidity decides whether you get a fair fill, and what market hours change.
· 8 min read
How options are priced - the six inputs behind every premium - options trading, chapter 5
An option's price isn't one number you read off a screen - it's six inputs run through a model. What moves a premium, why time and volatility both add value, and why buying an option is a three-dimensional bet.
· 8 min read
Dollar-cost averaging vs lump sum: the math, the psychology, and when each wins
DCA spreads a fixed dollar amount over time; lump sum invests it all at once. The honest math says lump sum wins on average - but DCA wins where it counts: risk, regret, and the way real income actually arrives.
· 8 min read
Covered calls explained - selling premium for income, not protection - options trading, chapter 10
A covered call sells upside for income against shares you own. Why it caps gains, why it isn't a hedge, how assignment works, and when neutral-to-mildly-bullish makes it fit.
· 7 min read
Correlation and diversification - why ten stocks can be one bet - trading basics, chapter 9
Owning ten stocks feels diversified. If they all move together, it's one position with extra steps. What correlation is, why narrative-driven clusters move as one, and how to diversify the risk that actually matters.
· 8 min read
Cash-secured puts - getting paid to set a limit buy - options trading, chapter 11
A cash-secured put sells a put while holding cash to buy the shares if assigned. How it lowers your cost basis, the full downside risk it carries, and how it feeds the wheel.
· 9 min read
Calls and puts explained: the four basic option positions and their payoffs - options trading, chapter 2
Long call, long put, short call, short put - the four building blocks. Max gain, max loss, and breakeven for each, with numeric examples, and why buyers and sellers face opposite asymmetries.
· 8 min read
Buying calls and puts - directional bets with capped downside - options trading, chapter 9
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· 7 min read
Building a trading playbook - turning rules into a repeatable process - trading basics, chapter 11
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· 8 min read
Assignment, exercise, and rolling - expiration mechanics - options trading, chapter 15
The boring plumbing that surprises beginners: auto-exercise thresholds, random assignment, early assignment before ex-dividend, pin risk, and how to roll a position.
· 7 min read
SK Telecom (SKM): not the SK Hynix backdoor everyone thinks - what you're actually buying
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· 16 min read
The SK Group, fully mapped - the chaebol behind the AI memory supercycle
SK hynix is worth ~$1.07T. The holdco owning 20% of it trades ~42% under that stake, the parent above smaller still. The SK family tree, the money cascade, and the two Anthropic stakes hiding inside.
· 7 min read
Arm Holdings (ARM) - the CPU IP underneath every AI chip, and how the v9 royalty stepup works
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· 8 min read
Nebius (NBIS): what it does, the $50B Microsoft-Meta backlog, and the AI-utility read
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· 8 min read
Adobe (ADBE) explained - the AI-disruption trade, Firefly, and a 10x forward multiple
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· 8 min read
What is walk-forward validation? 104 strategy-ticker pairs tested - only 54% survived
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· 8 min read
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· 8 min read
What is Fibonacci retracement? A quant's 3-year backtest on 48 live levels
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· 10 min read
Half the AI supercycle doesn't trade in New York
TSMC fabs in Taiwan. ASML lithography in Amsterdam. Samsung and SK Hynix HBM in Seoul. Tokyo Electron in Japan. The most critical AI supply-chain stocks list outside the US - and most US retail brokers can't actually buy them. Here's why we route the international leg through Interactive Brokers.
· 11 min read
TSMC has a structural lock-in on AI compute - and most retail traders are buying the wrong way
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· 12 min read
IBKR Trader Workstation for systematic bots: the operational map nobody publishes
Interactive Brokers' docs cover the API, the symbols, the order types. They don't cover what actually breaks when you run a real bot against a paper account at 3am - IBC re-login windows, the port 4002 trusted-IP trap, the unhealthy-but-Up gateway state, the order-rejection wrapper you need but isn't documented. Here's what we learned shipping live bots against IBKR over 12 months.
· 11 min read
HBM is the tightest bottleneck in the AI cycle - and three companies own it
High-Bandwidth Memory is the constraint that gates whether each new GPU generation can actually run at spec. Three companies - SK Hynix, Samsung, Micron - control essentially 100% of supply. The compute side gets the headlines; the memory side decides which compute ships. Here's the structural map and what's actually trade-able from a US-retail account.
· 13 min read
I ran 12+ trading bots for a year. Here's what survived, what died, and what I learned.
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· 11 min read
Aschenbrenner Q1 2026 13F: $8.5B chip short (SMH/NVDA puts)
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· 11 min read
Q1 2026 13Fs: Buffett, Ackman, Druckenmiller, Tiger, TCI, Gates
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