Algorithmic Trading
Complete guides on how to create, validate and evaluate algorithmic strategies. No shortcuts, no empty promises. Just the real technical framework.
What you'll find here
Algorithmic trading is not a shortcut to riches. It's a technical discipline combining programming, statistics, market knowledge and psychological management. Most courses sell fantasies; these guides go the other way.
Guides covering the full path: from understanding what algorithmic trading really is, building your tech stack, getting quality data, designing a strategy, validating it without fooling yourself, to measuring risk with serious metrics.
Questions this section answers
- How much capital you really need based on the market you trade
- How to distinguish a robust strategy from an overfit with a pretty curve
- Which metrics are actually useful (and which are noise)
- Why most backtests lie — and how to avoid it
- How to manage drawdowns without destroying your account (or your mind)
Learning path
The guides are organized in three blocks. Follow the order if you're starting from scratch — each block builds on the previous one. Or jump straight to the topic you need.
Algorithmic Trading Fundamentals
The basics: what it is, tools, data and how to design strategies
PillarAlgorithmic Trading: What It Is, How It Works and Capital Needed
Professional platforms, real capital by market, technical requirements and industry truth most courses won't tell you.

Algorithmic Trading Tools: Complete Tech Stack Guide
Python vs C++, MetaTrader vs NinjaTrader, broker APIs and backtesting platforms. Everything you need to build your stack.

Market Data for Algorithmic Trading: Complete Guide
Types (tick, OHLC), free vs premium providers, biases to avoid and how to choose the best source for your strategy.

Anatomy of a Trading Strategy: The 6 Essential Components
Setup, Trigger, Entry, Stop Loss, Take Profit and Position Sizing. Learn how a robust strategy is built.

How to Create an Algorithmic Trading Strategy from Scratch
Generate ideas, formulate hypotheses and code. Academic sources, complete framework and typical mistakes to avoid.
Backtesting & Metrics
How to honestly evaluate what your strategy actually does

Backtesting Problems: 7 Reasons Why Your Backtest Lies
Look-ahead bias, survivorship bias, overfitting, data snooping, slippage. Detect them and build realistic tests.

Algorithmic Trading Metrics — Complete Guide to Evaluate Your Strategy
Sharpe Ratio, Profit Factor, Win Rate, Drawdown and equity curve. What values are good, which are suspicious and how to interpret them.

Advanced Trading Metrics: Sharpe, Sortino, Calmar, SQN & K-Ratio
Guide to risk-adjusted metrics. Which one to use based on your strategy, how to combine them and the nuances most never explain.

Drawdown in Trading: Measure and Survive the Pain
Types, calculation, Ulcer Index, psychology and limits. Recovery table + kill switch protocol to protect your account.
Validation & Robustness
The process that separates a real strategy from an overfit

How to Validate a Trading Strategy — Complete Guide
Walk Forward, Monte Carlo, honest optimization and the full validation process that separates a strategy from an overfit.
Overfitting: The Silent Enemy
How to detect and avoid overfitting in your algorithmic trading strategies.
Walk Forward Analysis
The most rigorous validation method: continuous optimization with out-of-sample data.
Institutional reading
Your algorithm needs an edge — market reading provides it
Algorithmic trading executes without emotions, but the edge still comes from knowing how to read the market. Train yourself in the Wyckoff Method and Volume Profile.
Advanced Wyckoff Course + VP
+60 hours, +90 theory videos and +50 hours of practical recordings on the Wyckoff Method and Volume Profile. The reference course in English — straight to the core.
Full training catalog
All courses, workshops and books: Wyckoff Avanzado, Volume Profile, Order Flow, Wyckoff 2.0, Wyckoff in Depth. Pick the route that fits your level and goals.
Looking for Wyckoff, Volume Profile or Order Flow?
Go to the main blog