Risk Management

This is the most important lesson in the course, and it is also the simplest. There is no new formula to learn. Everything here needs plus, minus, multiply and divide.

Every trader who has lasted says a version of the same thing: you only make money in this game if you stay in it. Risk management is the part of the system that keeps you in it. And still, some of the sharpest people in the market make one sizing mistake, lose the account, and never come back to trading.

We have already established that every trade needs a stop loss. That rule protects a trade. This lesson is about the layer above it, because you are not only a trader taking a trade. You are managing a pool of money.

Why one trade is a bad idea

Assume you are managing $5,000 and you put all of it into one stock.

Three things can happen:

1. The trade works, reaches your target, and you make a lot of money.
2. The trade fails, reaches your stop loss, and you lose a lot of money.
3. The stock goes nowhere. It never reaches your target and it never reaches your stop.

Only the first one is good for you.

The third one is the one people forget about. Nothing has gone wrong. No rule was broken. And yet all of your capital is parked in a position that is doing nothing, while every other setup on your screen goes past you.

So two out of three outcomes are not in your favour.

Now take the same $5,000 and spread it across several positions. Each one resolves on its own schedule. Some reach their target early, some stop out early, and that money comes back to you and goes to work again somewhere else. That is called efficient churning, and it is a completely separate argument for diversifying from the usual safety one.

If you want your money to work, it makes more sense to have it working in several directions at once.

The simplest framework that works

Divide your capital into 20 chunks.

Capital per position = $5,000 / 20 = $250

Every one of those positions carries a stop loss and a target, both defined before you enter.

That is the entire framework. It is not clever and it does not need to be.

Where does 20 come from? Experience, not a formula. It is a number that leaves each position small enough that no single trade can hurt you, and large enough that you are not paying costs to trade dust.

I should be honest about what it demands, though. Placing 20 orders by hand, each with its own stop and target, is not easy. Neither is finding twenty setups that all have a backtest behind them. With the right tooling it is a 15 to 20 minute job. Without it, it is a full time one, which is exactly why most people quietly skip the step and go back to putting everything into one idea.

The numbers in this lesson are illustrative arithmetic, not results. Historical backtests are not predictions. Not investment advice.

From position size to risk

There is a second way to look at the same thing, and it is worth carrying both in your head.

The 20-chunk rule fixes how much capital goes into a position. R, from chapter 6, fixes how much you can lose on it. The stop distance is what connects them.

Take one of those $250 positions, with a stop sitting 5% below your entry:

Risk per trade = position size × stop distance
               = $250 × 5%
               = $12.50

Share of the account at risk = $12.50 / $5,000 = 0.25%

So a wide stop and a tight stop on the same $250 are not the same trade at all. Position size alone does not tell you what you are risking. Size and stop distance together do.

Read that the other way round and it becomes a rule you can actually run: decide what you are willing to lose, look at where the stop has to go, and let those two numbers hand you the size. The size is an output, not a decision.

Which matters, because the size is exactly where emotion sneaks back in. A setup that looks unusually clean is the moment you will want to put a little more on it. That instinct is the same one this whole course is built to take out of your hands. Fix the number before you click, outside market hours, when nothing is open and nothing is at stake.

Why this survives a losing streak

Chapter 7 gave us two numbers that measure pain: the longest losing streak and the maximum drawdown. Position sizing is what decides how much a streak actually costs you.

Same strategy, same 5% stop, same ten losses in a row:

All in on one position
  $5,000 -> about $2,995     (down 40%)
  gain needed to get back to $5,000: about 67%

Spread across 20 positions
  $5,000 -> about $4,877     (down 2.5%)
  gain needed to get back to $5,000: about 2.5%

Nothing about the strategy changed between those two lines. Not the entry, not the exit, not the win rate. Only the size changed, and it decided whether ten losses in a row were an inconvenience or the end of your trading.

Ten losses in a row is not a disaster scenario either. Go back to chapter 6: a strategy with a 40% win rate is perfectly capable of being the best one you own, and a strategy like that produces long losing streaks as a matter of routine. Your sizing has to assume they are coming, because they are.

That is the whole reason this lesson is the most important one. A real edge only pays you if you are still there when it shows up.

Two more dimensions

The framework above is good. It can be made better by adding dimensions to it.

Sector. Stocks in one sector tend to move together. Twenty positions that are all semiconductors is not twenty positions, it is one position wearing twenty tickers. So decide which sectors you are willing to hold, and cap how many positions you take inside any one of them.

The long short ratio. This is how your capital is split between long positions and short ones. Here is where chapter 8 comes back: your regime read should show up in this number, rather than being an opinion you hold and never act on.

• In a very oversold market that you expect to bounce, you might want heavier long exposure. For example 80% long and 20% short.
• In a very overbought market, perhaps 20% long and 80% short.
• In a sideways market, 50-50.

Those numbers are illustrative, not a recommendation. Choosing them properly takes a longer discussion and more understanding than this lesson can carry.

But the two rules underneath them are not negotiable, and they are the ones to take away: always diversify, and always limit your quantity.

In the last lesson we deal with the thing that decides whether any of this gets used at all. Not whether you can build a system, but whether you can run it on an ordinary Tuesday when you do not feel like it.