KAI Trade
kaa-i
KAI Quantum
Systematic auto-trading · TradingView → IBKR
Paper validation · pre-live
⚠ Demo data — figures are placeholders until the live IBKR paper feed is wired (see project TODO)
Strategy
Live performance
Net Return
since inception
Days Ahead of COIN
sessions above buy & hold
Max Drawdown
peak-to-trough
vs Hold COIN
edge, same window
Road to live capital
/ 30
paper sessions on record
 
Paper feed live — confirmed fills only, no optimistic P&L
30 consecutive clean paper sessions
Max drawdown within cap
Explicit owner sign-off — never automatic

Live capital is switched on only when every gate above is cleared. Until then Quantum stays on paper.

Equity curve
━ Strategy equity ┈┈ Buy & Hold COIN

Strategy vs simply holding COIN — a neutral benchmark. 1D = today's live intraday feed; 1W / 1M / All = the daily track record. Judge it on drawdown and down-market behaviour, not just the endpoint.

With Quantum vs without (holding COIN)
━ With Quantum (strategy %) ┈┈ Without — hold COIN (%) ┄ break-even (0%)

Cumulative return each day, from the daily reports: using Quantum (the auto-strategy) vs not using it (holding COIN over the same window). The gap is what the automation added or cost.

Live signal feed — every bar, even when it holds
no signals received yet — waiting for the V2 alert
Live trade log — actual position flips only
TimeTickerActionSizePriceStatus
COINreverse → longawaiting live feed
COINreverse → shortawaiting live feed
Strategy changelog
  • 2026-06-06
    Project created. Tested Alpaca strategy ported to IBKR as a single reversing-order model. Design docs + draft bridge written.
  • 2026-06-08
    Connected to IBKR paper. Bridge upgraded to confirm a true Filled / Rejected status before logging a trade — no optimistic fills.
  • 2026-06-09
    End-to-end live: TradingView alert → bridge → IB Gateway, first real paper fills on this page. Sizing now reads the real account; per-strategy records + selector added.
  • 2026-06-12
    Promotion rule set: live capital only after 30 consecutive clean paper sessions, drawdown within cap, and explicit sign-off. Never automatic.
  • 2026-06-22
    Paper / live mode flag wired so simulated $0 P&L can never be mistaken for real revenue.
  • In progress
    Paper validation running · V2 strategy forward-testing. Numbers above are live paper results, not backtests.
Health & honesty (errors · slippage · revisions)
Order Errors
last 30d
Avg Slippage
vs signal px
not measured yet
Failed Reverses
short reject / no-fill
not measured yet
Uptime
bridge + gateway
not measured yet

Only order errors is instrumented on the live feed today. Slippage, reverse-failures and uptime come online with the live-capital gateway — until then we show a blank, not a guess.

What makes Quantum different
Always in the market — a single stop-and-reverse order flips long↔short on every trend change. No idle cash, no missed reversal.
Confirmed fills only — a trade is logged after IBKR reports a true Filled / Rejected. No optimistic P&L, no paper-only fantasy fills.
Proven before funded — live capital only after 30 clean paper sessions, drawdown within cap, and explicit sign-off. Never automatic.

We publish only numbers we can prove — no inflated claims, no fabricated competitor benchmarks. The edge is the method above, running in the open on this page.

Marketing pulse
📣
Hero channel
X / Twitter
🆓 grow now
THIS WEEK'S THREAD — DRAFT (CEO-gated) "Building a live auto-trader from scratch — with AI doing the R&D. Week 3. Honest numbers, real bugs, what's next. 🧵"
Shadowing: @TradersMastery · @quantitativo1 — educational only, no live auto-trader P&L published
Surpass move: KAI is the only algo X account with a running bot's daily paper P&L + real equity curve — the gap the field refuses to close
CTA: Join the cockpit waitlist (free) → Marketing page
🎓 Educational only — not financial advice. This is the lab's raw research log, not a recommendation to buy, sell, or hold anything.

The Track Record

Every backtest we run, in the open — loading the lab's iteration history…

Every iteration · newest first
#DateVerdictWhat was tested
history loading…

Each row is one backtest iteration, pulled straight from the lab's log and auto-updated as new iterations run — no cherry-picking. Educational only — not financial advice. The method behind these tests, in plain words, is in the Field Notes →

🎓 Educational only — not financial advice. Nothing here is a recommendation to buy, sell, or hold anything.

Field Notes from the Quantum Strategy Lab

We did the boring, rigorous work — hundreds of backtests, a stack of academic papers, and real paper-trading sessions — and here is the honest truth, shared freely. No hype, no "get rich," nothing to sell. Just what the evidence actually says about automated trading.

1 · The myth vs the truth
The mythThe whole game is finding the perfect entry signal — the magic "buy here" arrow. (An entry signal is just the rule that decides when to open a trade.)
The honest truthThe entry is the smallest lever. What you do after you're in — when you exit, and how much you bet — carries almost all of the result.
2 · The proof — a coin flip still made money

Van Tharp and Tom Basso ran a famous test: enter long or short at random — literally a coin flip — across 10 markets. It still made money every time, once they added just two things: a trailing stop (an exit that follows the price to lock in gains and cap losses) and sensible position sizing (risking only about 1% of the account on each trade). The win rate was only ~38%, yet it was reliably profitable. The lesson is blunt: the exits and the bet-size carried the edge, not the entry.

3 · What actually wins
Breadth — many uncorrelated bets, not one. (Uncorrelated = they don't all move together, so they don't all lose together.) One good idea spread across many independent bets beats one lone bet, every time.
Position sizing — deciding how much to bet. Volatility-targeting (bet smaller when the market is wild, bigger when it's calm, so your risk stays steady) and fractional-Kelly (use only a quarter-to-half of the mathematically "optimal" bet, because your real edge is uncertain).
Risk control — engineered survival. A trailing stop (an exit that follows price) plus a drawdown kill-switch (an automatic "flatten everything and stop" when losses hit a set limit; drawdown = how far you've fallen from your high).
Honest testing — or it's a mirage. Test out-of-sample (build on old data, then check on untouched newer data), walk-forward (tune, test the next slice, roll forward, repeat), and score with the Deflated Sharpe (a Sharpe ratio — return per unit of risk — lowered to punish how many strategies you tried, because if you try enough, one looks great by pure luck).
4 · The one formula, in plain words
IR ≈ IC × √Breadth
Grinold's Fundamental Law. Your risk-adjusted result ≈ your skill-per-bet × the square root of how many independent bets you make. Translation: one symbol + one signal = a breadth of 1 = a hard ceiling, with no multiplier. The same modest edge spread over 25 independent bets multiplies your achievable ratio by √25 = . Diversification is the only real free lunch.
5 · The honest ranked list — what one person can really run

Using liquid, retail-broker instruments — no supercomputers, no exchange co-location:

Diversified trend-following — ride sustained moves across 20–40 markets; many small losses, a few big wins. Real, and century-tested. Realistic result: a modest but durable edge.
Volatility-targeting overlay — not a strategy in itself, but the highest-value, lowest-overfitting-risk thing you can add on top; it smooths the drawdowns of everything above.
Carry as a small sleeve — get paid to hold (yield or roll), but only a thin slice, paired with trend to cover its rare-but-brutal tail. Never on its own.
Cross-sectional momentum via ETFs — "winners keep winning," bought through a ready-made momentum ETF instead of a risky do-it-yourself basket.
A Carver-style multi-rule ensemble — combine many rules across many markets, always volatility-targeted. The whole edge is diversification, not any single signal.
Not replicable by a solo trader — don't try
  • HFT market-making — a microsecond speed game won on hardware.
  • Institutional statistical arbitrage at scale — bound by latency and capacity.
  • Solo machine-learning alpha — an overfitting trap.
  • "Medallion-class" secrets — the famous fund is closed and undisclosed by construction; treat any promise to copy it as a red flag.
6 · Our own honest journey
Backtests run
106
on COIN, one symbol
Best profit factor
1.39
win $1.39 per $1 lost
Max drawdown
-5.8%
worst peak-to-trough
Status
Paper
research only, never live

We ran 106 backtests on COIN (Coinbase stock — a high-beta crypto proxy that swings about 3.5× the market). We found a trend strategy (a Donchian channel — buy on a break above the recent high, sell below the recent low) that beats simply buying and holding, on paper: a profit factor of ~1.39 (win $1.39 for every $1 lost) with a max drawdown of only ~6%.

Then came the honest lesson: a "profit factor above 2 on a single symbol" is essentially a mirage — a number you can only reach by overfitting (tuning so tightly to the past that it fails the moment it goes live). The literature is blunt: real standalone edges are modest, and anything spectacular is either a secret or an artifact. So we re-pointed the lab at what the math actually rewards: a diversified basket plus volatility-targeted sizing.

To be clear: this is paper / research only. Nothing here is live, and none of it is a recommendation to buy, sell, or hold anything. Promoting any strategy to real money is a deliberate human decision — never automatic.

Further reading — the real sources
✦ Coming soon

Honest auto-trading field notes

We'll keep publishing what the lab learns — the wins, the dead ends, and the boring truths. No signals to sell, just the honest work in the open.

Follow @kaai_quantum →
Educational only · not financial advice · nothing for sale
Live cockpit — real-time view & control of the engine
Bridge & gateway status
IB Gateway (port 4002) — not connected  ·  bridge: draft, offline
Master controls
Auto-trading engine
Allow shorting
Trade outside RTH
Duplicate-signal guard
Current position & live P&L
Position
COIN signed qty
Unrealised
open P&L
Today
realised
NetLiq
IBKR account
Calibration (sizing & execution)
Capital fraction65%
Leg size½
Limit buffer0.2%

These mirror the Pine formula 0.5 × 0.65 × equity/price. Calibration writes back to the bridge config once wired.

Linkage

TradingView alert → webhook → bridge → IB Gateway. Real-time, in your hands.

Early access · The Cockpit

Step into the engine room

Behind this glass: the live cockpit. Watch every long↔short flip the moment it fires, steer the engine, tune the sizing, and hit the kill-switch — full real-time command of the auto-trader, not just the scoreboard.

Live position & P&L Start / stop the engine Calibrate sizing Instant kill-switch
Request early access →
By invitation while we prove the track record · no charge today
· owner access ·
Inner circle · by invitation

Hidden Magic

The strategies that actually move — distilled from the live engine and pointed at every stock, not just COIN. The same edge that drives the auto-trader, quietly wired into your KAI Invest Journal & Superformance so the best buy/sell moments find you.

A door that opens once the track record is proven

✦ Edge across every stock

The live strategy, generalised — surfacing the strongest buy/sell setups market-wide, fed straight into your screener.

Inner circle

✦ One-tap auto-execute

Send any Invest-Journal idea to the engine with calibrated sizing — research to position in a click.

Inner circle

✦ Signal boost → Superformance

The auto-trader's sharpest signals become an extra ranking layer in your daily screen.

Inner circle

✦ Carry it anywhere

The most effective, continuously-updated strategies — portable to other platforms you trade on.

Inner circle
Ask for an invitation →
Opens when proven · invitation only · no charge today