Basics12 min
What Quant Trading Really Is: Explained in 3 Examples
Understand rule-based trading through the three simplest cases: grid, moving average and arbitrage.
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Quant Academy
16 systematic tutorials, four categories ordered by learning sequence. All free, all educational: we cover methods and limitations, not promises of guaranteed profit.
Risk notice:Quantitative trading carries the risk of loss. All strategies, signals and performance figures on this site are historical backtest data and do not constitute a promise of returns, nor investment advice. Crypto markets are highly volatile, so validate with small capital first and comply with the laws of your jurisdiction.
Learning Path
5-Week Learning Path
Following this order is far more efficient than browsing articles at random. Every step has a concrete deliverable.
Week 1
Finish the 4 Basics articles and build your indicator vocabulary. Goal: clearly describe a strategy's entry, exit and risk controls.
Weeks 2-3
Follow the hands-on articles to build a minimal backtest engine, run a moving-average strategy end to end and add a cost model.
Week 4
Run Walk-Forward validation and parameter sensitivity analysis, then discard the overfitted versions.
Week 5 onward
Trade live with small size and compare live results against the backtest; meanwhile finish the 4 Risk Management articles and write down your own risk rules.
BASIC
AI Quant Basics
A zero-background starting point: what quant trading actually does, and what role AI plays in it.
Basics10 min
What AI Can and Cannot Do in Quant
Predicting price is a false need; AI is genuinely good at feature engineering and code translation.
Basics14 min
Exchange APIs and Data Collection Basics
The difference between candlesticks, order book depth and trade prints, plus least-privilege API configuration.
Basics11 min
Reading Four Core Metrics: Annualized Return, Drawdown, Win Rate, Sharpe
Why looking only at annualized return is the biggest beginner trap.
CODE
Strategy Coding
Turning trading ideas into executable code, including AI-assisted generation and review.
Advanced13 min
From Idea to Pseudocode: A Standard Format for Describing Strategies
A four-part structure of entry, exit, position sizing and filters, so AI can translate it correctly.
Advanced15 min
How to Prompt an LLM Properly for Strategy Code
Supplying data structures and constraints works far better than simply asking it to write a strategy.
Advanced16 min
Vectorized vs Bar-by-bar: Pitfalls of Both Implementations
How look-ahead bias quietly slips into your code, with a self-check list.
Advanced18 min
Engineering Structure for Multi-Timeframe and Multi-Asset Strategies
How to organize data alignment, signal merging and state management.
BACKTEST
Backtesting
Making backtest results resemble live trading rather than flatter you.
Hands-on20 min
Building a Minimal Backtest Engine from Scratch
Complete implementations of three modules: data loading, order matching and performance statistics.
Hands-on14 min
Modeling Fees and Slippage: Why Your Backtest Is Fake
Why most high-frequency strategies flip from profit to loss once costs are included.
Hands-on16 min
Hands-on Walk-Forward Validation
The standard method for judging whether a strategy fits noise or captures a real pattern.
Hands-on13 min
Spotting Overfitting: Parameter Plateaus and Sensitivity Analysis
Good parameters should be a broad plateau, not a needle tip.
RISK
Risk Management
The part that decides long-term survival. Returns come from strategy; staying alive comes from risk control.
Essential12 min
Position Sizing: Practical Use of Fractional Kelly
Why full Kelly in crypto markets means liquidation sooner or later.
Essential10 min
A Three-Layer Stop-Loss System: Trade, Strategy, Account
How to set circuit-breaker rules so losing streaks don't lead to emotional averaging in.
Essential11 min
The Real Cost of Leverage: Volatility Drag
The mathematics behind why high leverage loses over the long run.
Essential9 min
Black Swan Drills and Disconnection Contingency Plans
Designing automatic handling for exchange outages, de-pegging and API rate limits.
Beta Access
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