PVSRA vector candles
The Traders Reality signal — volume and spread climaxes that flag where large players act — ported faithfully from the open-source Pine to Python.
Now in private beta — early access open
The anti-hype quant terminal. Measure the edge honestly.
Kudbee Quant takes the discretionary Traders Reality PVSRA read and subjects it to real statistics — backtested with fees and slippage, stress-tested with walk-forward and Monte Carlo. Every signal is a hypothesis, and risk is reported as loudly as return. No fake Sharpe ratios. For crypto and prediction markets.
- No fake statsEvery number computed from real data
- Paper-firstLive capital is a guarded opt-in
- AdversarialWalk-forward + Monte Carlo by default
BTC / USDT · 1h · PVSRA + MM context
hypothesis · measuring
Edge est.+1.1% ±2.6
Max DD-11.1%
P(noise)21%
OOS Sharpe＋ pending
Illustrative output — not a track record. Numbers render only when computed from real data.
Liquidity sweep
● flagged
Bull vector candle
▲ detected
Built for traders who treat the markets like a science
PVSRA vector candles•
Market-maker context•
Walk-forward + Monte Carlo•
Risk reported loudly
The short version
What is Kudbee Quant?
Kudbee Quant is an honest quantitative research toolkit for crypto and prediction markets. It takes the discretionary Traders Reality PVSRA method — vector candles and market-maker-cycle context — quantifies it as testable features, and measures whether it actually has an edge.
It is the deliberate inverse of the viral "AI trading terminal" screenshots — the ones with Sharpe 4.9 and 41,000% APY that don't reconcile with reality. Kudbee contains no hardcoded performance numbers. Every figure is computed from real data, every signal is a hypothesis to be tested, and a strategy that loses is reported honestly. The edge isn't a promise — it's the honesty about uncertainty.
CategoryHonest quant research toolkit
MethodTraders Reality · PVSRA
MarketsCrypto · Prediction markets
Default modePaper-trading
The toolkit
A discretionary read, put under a microscope.
Four layers that turn "smart money is here" into a number you can actually trust — or reject.
Market-maker context
Sessions (Asian/London/NY), the Asian range, prior-day and prior-week levels, liquidity-sweep detection, and the weekly MM cycle phase.
Adversarial validation
Event-driven backtester with fees, slippage and no lookahead, then walk-forward and Monte Carlo to estimate the edge — and the odds it's just noise.
Honest risk engine
Max drawdown, VaR/CVaR, risk-of-ruin and capped fractional Kelly — reported next to every return, never buried beneath it.
How it works
Scan → Detect → Validate → Size.
The pipeline that keeps the discretionary signal but never takes it on faith.
01
Scan
Ingest clean OHLCV from Binance (crypto) and Yahoo (equities/FX for uncorrelated checks), plus Polymarket prediction-market prices.
02
Detect
Quantify PVSRA vector candles and market-maker context — sweeps, sessions, prior-day/week levels — into testable features.
03
Validate
Backtest with fees and slippage, then walk-forward and Monte Carlo for the edge estimate, drawdown profile, and probability it's noise.
04
Size
Only if an edge survives: capped fractional Kelly, hard drawdown limits, and paper-trading by default. Live is a guarded opt-in.
Who it's for
Built for traders who want an edge they can prove.
Whether you're scaling a system or just tired of trading on vibes, Kudbee meets you where you are.
The systematic trader
You think in rules and probabilities. Build, backtest, and refine strategies with the rigor of a quant desk — without the quant team.
The busy part-timer
You can't watch charts all day. Let validated strategies do the watching and ping you only when a real, scored opportunity shows up.
The discretionary trader
You trade on read and feel. Use Kudbee's analytics and confidence scores as a second opinion to confirm — or veto — your bias before you size in.
The serious learner
You want to get good, fast. Backtesting turns every idea into a feedback loop, so you learn what actually works instead of guessing.
Backtesting engine
The engine that tells you when there's no edge.
The first time we backtested the raw PVSRA read on BTC, it lost money — and the engine said so out loud. That's the whole point. An event-driven backtester with fees, slippage and no lookahead, plus walk-forward and Monte Carlo, exists to find the reasons a strategy will fail before your capital does.
- Event-driven, fees & slippage, no lookahead
- Walk-forward & out-of-sample validation
- Monte Carlo: the probability your edge is noise
- Multi-asset checks, correlation-adjusted
Naive PVSRA — first backtest
illustrative · 1000h BTC
Return-12.9%
Sharpe-2.79
Max DD-18.8%
P(profit)~12%
The raw read lost money — and the engine reported it honestly. Filtering by market-maker context flipped this small sample; the caveats matter more than the result.
Signals are hypotheses, not promises
- SOL/USDT ▲ EDGE OOS ✓
- BTC/USDT ● TEST p 21%
- ETH/USDT ▼ SKIP p 64%
- POLY · event ● WATCH —
Signals & verdicts
Every signal is a hypothesis to be measured.
A PVSRA vector candle isn't a buy — it's a question. Kudbee answers it with the market-maker context that fired it, the estimated edge, and the Monte Carlo probability it's just noise. Sometimes the honest verdict is skip, and that's a feature.
- Each read tied to its PVSRA + MM-context trigger
- Edge estimate with a confidence interval
- P(noise) so you know when to walk away
- Crypto and prediction markets
Why Kudbee
The whole workflow, in one hive.
Most traders stitch together a charting tool, a signals group, and a spreadsheet. Kudbee replaces all three.
| What you need | The usual way | With Kudbee |
|---|---|---|
| Trade signals | Paid Discord/Telegram, no track record | PVSRA reads, measured and backtested |
| Performance claims | Screenshots: "Sharpe 4.9 · 41,000% APY" | No hardcoded numbers — computed from real data |
| Validation | Hindsight & cherry-picked charts | Walk-forward + Monte Carlo, no lookahead |
| Risk | Buried or never mentioned | Drawdown, CVaR & risk-of-ruin up front |
| When there's no edge | You find out with real money | The engine tells you, and says skip |
See the full breakdown vs. signal groups and spreadsheets on our comparison page.
0Data sources: Binance · Yahoo · Polymarket
0Hardcoded performance numbers
0Honesty-contract rules enforced in code
0Figures computed from real data
The honesty contract
Five promises, enforced in code — not in marketing.
We'd rather show you fewer winners than one fake one. Here's the contract the engine actually holds itself to.
01
No hardcoded performance
If a figure can't be computed from real data, it does not render. Ever. No fake Sharpe, no invented APY.
02
Paper-trading by default
Live capital is an explicit, guarded opt-in with hard drawdown limits. Research first, always.
03
Every signal is a hypothesis
PVSRA reads, MM context, correlation — all are features to be measured, never promises.
04
Risk reported as loudly as return
Max drawdown, risk-of-ruin, CVaR and out-of-sample decay sit right next to every PnL figure.
05
Validation is adversarial
Walk-forward and Monte Carlo by default. We hunt for the reasons a strategy fails before trusting it.
Read the full philosophy
The hybrid system, the lineage, and the caveats — laid out in the open.
Methodology →
Our approach
Built by traders who got tired of guessing.
Kudbee Quant started with a simple frustration: the tools that give real statistical edges were locked inside hedge funds and prop desks, while everyone else was sold hype, screenshots, and signal groups with no track record.
We're closing that gap. Our mission is to put institutional-grade rigor — honest backtests, real risk metrics, and explainable signals — in the hands of every serious trader, with none of the gatekeeping.
- Evidence over hype. Every claim is something you can backtest yourself.
- You stay in control. We inform decisions; we never trade behind your back.
- Transparency by default. Confidence scores and the reasoning behind every call.
01
Honest backtests
Fees, slippage, and out-of-sample validation modeled in — no cherry-picking.
02
Explainable signals
Plain-English reasoning and a confidence score on every call.
03
Risk first
Drawdown and exposure front and center, because survival compounds.
Pricing
Simple plans, founding-member rates.
Final pricing lands at launch. Join the waitlist now to lock founding-member rates and early access.
Explorer
Freeforever
Get a feel for quant trading with the essentials.
- Real-time signals (select assets)
- Core market analytics
- 1 saved strategy
- Community access
Trader
Proearly-bird at launch
For active traders who want the full toolkit.
- Everything in Explorer
- Unlimited signals, all markets
- Full analytics suite
- 25 strategies + backtesting
- Custom alerts
Quant
Eliteearly-bird at launch
For systematic traders who push the limits.
- Everything in Trader
- Unlimited strategies
- Walk-forward & Monte Carlo
- API access
- Priority support
No payment now. Waitlist members are first in line and lock the lowest pricing we'll ever offer.
Early access
Be first into the hive.
Join the waitlist for early access, founding-member perks, and a front-row seat as we roll out new markets and strategies.
FAQ
Questions, answered.
What is Kudbee Quant?
An honest quantitative research toolkit for crypto and prediction markets. It takes the discretionary Traders Reality PVSRA method — vector candles and market-maker-cycle context — quantifies it as testable features, and validates it with an event-driven backtester, walk-forward, and Monte Carlo, reporting risk as loudly as return.
What is the Traders Reality / PVSRA hybrid system?
PVSRA (Price, Volume, Support & Resistance Analysis) uses "vector candles" — volume and spread climaxes — to infer where large players act. Tino's Traders Reality hybrid system pairs PVSRA with the Beat-the-Market-Maker (BTMM) cycle. Kudbee keeps that discretionary read but subjects it to statistical scrutiny instead of treating it as certainty.
Does Kudbee Quant promise high returns?
No — and that's the point. It's the deliberate inverse of the viral "AI trading terminal" screenshots with impossible Sharpe ratios and huge low-risk returns. There are no hardcoded performance figures; every number is computed from real data, and a strategy that loses is reported honestly.
Does it place trades for me?
Paper-trading is the default. Live capital is an explicit, guarded opt-in with hard drawdown limits. Kudbee is a research tool first — you stay in control.
What markets are supported?
Crypto via Binance and prediction markets via Polymarket, with equities, ETFs, FX and commodities via Yahoo used as uncorrelated assets for honest validation.
How does validation work?
Every signal is a hypothesis. The event-driven backtester models fees and slippage with no lookahead, then walk-forward and Monte Carlo estimate the edge, its drawdown profile, and the probability it's just noise. Multi-asset validation is correlation-adjusted so the harness can't fool itself.
How much does it cost?
Kudbee Quant is currently in private beta with an open early-access waitlist. Joining the waitlist is free, and waitlist members help prioritize the roadmap.
Is this financial advice?
No. Kudbee Quant is a research tool. Nothing here is financial advice. Markets do not offer high return at low risk; trading involves substantial risk of loss. Always do your own research.
New to quant trading? Browse the Kudbee Quant glossary for plain-English definitions of every term on this page.