School of Algorithmic Trading.
Say 'algo trading' and people picture an AI printing money. The reality: recipes, executed by machines that never flinch — powerful, testable, and surrounded by walls the sales pitches never mention. Nine chapters from the first if-then rule to the advanced frontier: the five boxes inside every algorithm, the strategy families retail can actually play, backtesting's beautiful lies, the honest limits of the technology, going live, and machine learning without the mystique. Global throughout, with an India Angle in every chapter.
The Recipe That Cooks Itself
Say 'algorithmic trading' and people picture a glowing AI brain printing money in a dark room. The reality is closer to a vending machine: precise rules, executed exactly, every time, without feelings. The magic was never the machine. It's the recipe.
The 2 A.M. Pilot
Commercial planes fly on autopilot most of the flight — not because autopilot is smarter than pilots, but because it doesn't get tired, distracted, or frightened at 2 a.m. over the ocean. That, precisely, is the case for automating a strategy. And it comes with a bill.
The Five Boxes
Strip away the jargon and every trading algorithm on Earth — from a hobbyist's weekend bot to a billion-dollar fund's engine — is the same five boxes: something interesting happened, should we act, how much, place it, and when do we pull the plug. Learn the boxes and nothing in this field will ever intimidate you again.
The Family Tree
Ask what algorithms actually DO all day and the answer is a family tree: five great strategy families, each with its own personality, its own players, and its own price of entry. Three are open to you. Two belong to machines in the exchange basement — and knowing the difference protects your savings.
The Beautiful Lie
A student steals last year's exam paper and memorises every answer. He scores 100%. Is he ready for this year's exam? That, exactly, is the danger of backtesting — the most useful tool in this school, and the most fluent liar. This is the chapter that decides whether the rest of them work.
What the Machines Cannot Do
In 2012, one of Wall Street's most sophisticated firms deployed new code. A single configuration error made its machines buy and sell uncontrollably. In forty-five minutes it lost about $440 million and effectively died. The machines are powerful. This chapter is about everything they cannot do — and everything you cannot do with them.
The Funnel With Gates
New medicines aren't sold the day the lab results look good — they pass trials, in phases, with criteria set in advance. Your strategy is the medicine and your savings are the patient. This chapter is the trial protocol: a funnel with gates, and the discipline of writing the gates before you're in love.
The Frontier
Now the frontier — honestly surveyed. Machine learning: a pattern-finder of terrifying power, pointed at the noisiest data on Earth. Execution algorithms: how elephants cross rivers. And the move that actually separates advanced practitioners from beginners — which turns out not to be a smarter algorithm at all.
The Library and the Road
This school gave you the map: the recipe, the five boxes, the families, the honest test, the walls, the funnel, the frontier. What it cannot give you is the miles. This closing chapter hands you the library that goes deeper, the road for your first year — and the one discipline that judges everything.
Move on to School of Market Science.
Before you learn how to trade, learn how markets actually work — why prices move, how value is discovered, and why every trade needs two people. Plain language, real-world analogies, zero jargon.