Paid · 4-week curriculum · self-paced

Crypto Quant Foundations

Four weeks of structured curriculum on what actually moves crypto prices and how to extract edge from it. The same material we use to onboard junior research at the firm.

Sixteen lessons across market microstructure, perpetual derivatives, on-chain forensics, and rigorous backtesting. Lifetime access. Pay once with USDT (BSC).

$99
one-time · USDT-BSC · lifetime access
Week 1 · Market microstructure
How crypto prices actually move
1.1Order books, taker flow, and aggregate-trade tapeThe mechanics of where price comes from on a CEX.
1.2Liquidity and slippage modellingWhy your fills are worse than the chart shows. Concrete formulas.
1.3Volume, OI, CVD: what each one tells youReading the three core flow signals without relying on lagging indicators.
1.4Market makers and their footprintHow HFT desks behave around news, listings, and liquidations — and what retail can spot.
Week 2 · Perpetual derivatives
The instrument that runs crypto
2.1Perpetual futures — mechanics, funding, basisBeyond the surface: how funding is calculated, what the basis tells you, why it matters.
2.2Funding-rate arbitrage in depthThe full cash-and-carry construction with margin, fees, and capital rotation math.
2.3Liquidation cascadesThe mechanics of forced selling. How to read the cascade and not be the bottom.
2.4Cross-exchange arb residualsWhat still pays in 2026 (hint: not what you think).
Week 3 · On-chain forensics
Reading the data nobody else reads
3.1Whale-wallet tracking — what works, what doesn'tWhy most "smart-money" mirroring is a bad bet, and the narrow exception.
3.2CEX inflow/outflow signalsReading large transfers to/from exchanges. False-positive filtering.
3.3Token unlocks and supply shocksPredictable flows. How to trade them — and why most retail gets the direction wrong.
3.4Exploit detection and contagionThe Cyvers/PeckShield/Lookonchain feed. Trading the front-run window before official statements.
Week 4 · Backtesting & validation
Knowing if your edge is real
4.1Path-dependent backtest designWhy most backtests lie. Path-dependent simulation, slippage, fees, funding modelled correctly.
4.2The optimization trapWhy combo-search filters often improve per-rule WR while destroying portfolio return. (Real example from our NEVA work.)
4.3Out-of-sample, walk-forward, regime conditioningPractical validation methods that survive contact with reality.
4.4Killing your strategy at the right timeHow to know when an edge has decayed. The math of when to retire a model.

Get lifetime access — $99

One-time payment in USDT (BSC chain). Course materials unlocked within ~2 minutes of on-chain confirmation.

No subscription, no upsell. Email support for course questions for 90 days post-purchase.

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