For experienced traders
Advanced Trading: Edge, Expectancy and Execution
Written for traders who already know what a stop is. How to establish statistically whether an edge exists, how to size beyond fixed-fractional, how to read market internals, and which execution costs decide whether a backtest survives contact with a real broker.
This section assumes you know what a stop is, can read a chart, and have executed enough trades that your journal is worth analysing. There is no setup catalogue here.
At this stage the distinguishing skill has very little to do with finding more patterns. It is the willingness to answer a harder question honestly: do I have an edge, how confident am I in that number, and what is the correct size given the uncertainty?
What changes after the basics
| Beginner focus | What replaces it |
|---|---|
| Finding better setups | Validating the setups you already use |
| Win rate | Expectancy and the R distribution |
| A fixed 1% risk rule | A sizing model tied to volatility and confidence |
| "Does this pattern work?" | "How large is my sample and how wide are the error bars?" |
| Chart price only | Breadth, volatility regime and execution cost |
The four areas that matter
- Edge validation. Sample size, confidence intervals, and whether your backtest survives honest cost modelling.
- Sizing models. Fixed fractional is where you start, not where you finish. Volatility-adjusted sizing and fractional Kelly change the growth profile materially.
- Regime awareness. Mean-reversion and momentum strategies each fail in the other's environment, which means knowing which regime you are in is worth more than either strategy by itself.
- Execution. At higher trade frequency, spread and slippage become the dominant term in the P&L. Far more strategies die here than ever die in the analysis.
Where to start
If you have a journal of a hundred trades or more, start with expectancy. Calculate it in R, then work out how wide the confidence interval around that number really is. Most traders find the honest answer uncomfortable, and I would say it is the most useful discomfort available to them.
If you do not have a journal yet, that is the prerequisite, because nothing in this section is computable without one. Risk management remains the foundation all of it is built on.
Trading Expectancy, Sample Size and Sizing Beyond the 1% Rule
Sizing at a flat one percent is very hard to blow an account with, which makes it a fine start and a strange stopping point. The arithmetic that succeeds it begins with whether your edge exists at all.
Read the guide →- advanced
Backtesting Trading Strategies Without Fooling Yourself
Every backtest flatters the strategy that produced it. The useful question is by how much, and each of the five biases here has a procedure that puts a number on it.
- advanced
Market Internals: Reading Breadth Beyond the Index
Four hundred stocks can fall while the index rises, because an index is a weighted average. Breadth data is what tells you how many names are actually taking part.
- advanced
Volume Profile: Trading Price Acceptance, Not Time
How much traded at this price is a more useful question than how much traded this hour, and it is the one that locates levels a time-based chart cannot show you.
- advanced
Multi-Timeframe Analysis: Alignment Without Paralysis
Open three charts looking for agreement and you'll always find it, because some interval always agrees with you. Give each chart one job the others cannot do.
- advanced
Correlation and Portfolio Heat: Why Six Positions Can Be One
Six positions at one percent risk each look like six independent bets. If they answer to the same driver, the book is carrying one six percent position with extra commission attached.
- intermediate
How to Calculate Correlation Between Two Stocks
Correlation is quoted constantly and calculated rarely. The arithmetic takes ten minutes on a spreadsheet, and doing it once changes how the number reads afterwards.
- intermediate
Correlation vs Beta: Which One Sizes a Position?
Beta tells you how far a stock moves when the market moves. Correlation tells you whether it moves at the same time. Sizing needs the second, and most traders reach for the first.
- advanced
Why Correlation Goes to 1 in a Market Crash
A portfolio spread across six uncorrelated ideas can discover, in a single week, that it held one. The convergence is structural, not bad luck, and it is predictable enough to size for.
- intermediate
Portfolio Correlation Checklist Before You Add Risk
Most correlation damage is done at the moment of entry, by a position that looked independent. These seven checks take a few minutes and catch the overlaps a risk report will not show.
- advanced
How to Calculate Risk of Ruin in Trading
A positive expectancy strategy can still bankrupt the account. Risk of ruin is the number that says how likely that is, and position size moves it more than anything else.
- intermediate
How Many Stocks Do You Need to Diversify?
Diversification benefit falls away faster than most lists of holdings suggest. The arithmetic is simple enough to do by hand, and it changes what a long watchlist is worth.
- advanced
How to Rebalance When Correlations Change
Correlation is measured at entry and then left alone, which is where the risk creeps in. Positions that were independent in June can be one bet by October without anything being bought.
- intermediate
How Many Losing Trades in a Row Is Normal?
A five loss run at a 50% win rate is not unusual, it is expected. Knowing the number in advance is what stops an ordinary streak being treated as evidence.
- intermediate
When to Increase Size After a Drawdown
Most drawdown rules say how to cut and go quiet on how to restore. Without a written trigger, size goes back up on confidence, which is the one input that has no bearing on whether the edge returned.
- intermediate
Set Risk Per Trade From Your Drawdown Limit
The 1% rule is a reasonable default and it is not derived from anything about you. Running the arithmetic in reverse gives a number that is, and it is usually smaller.
- intermediate
Fixed Fractional vs Fixed Dollar Position Sizing
A flat cash risk is easier to work with and gets more dangerous exactly as the account shrinks. The percentage version fixes that, and gives up something in exchange.
- advanced
Implied Volatility and Skew: Why Puts Cost More Than Calls
A put and a call the same distance from the price rarely cost the same. That gap is the market pricing crash risk, and most option buyers never look at it.
Advanced FAQs
What separates an advanced trader from a beginner?
Not pattern knowledge. An advanced trader can state their expectancy in R, knows the sample size behind that figure, sizes positions from a model, and can explain why their backtest is likely to be optimistic. Beginners collect setups; experienced traders validate and size them.
How many trades do you need before results mean anything?
More than most people assume. With a typical retail win rate and R distribution, a hundred trades still leaves wide confidence intervals, and a 30-trade sample tells you almost nothing about expectancy. This is why traders conclude a strategy works after a good month and abandon it after a bad one.
Should I use the Kelly criterion for position sizing?
Full Kelly is a poor choice in practice. It maximises long-run growth rate but assumes your edge estimate is exact, and it produces drawdowns that almost nobody can execute through. Half-Kelly or quarter-Kelly captures most of the growth with far less variance, and is closer to what professional risk frameworks run.
Why do backtests overstate real performance?
Several reasons stack: survivorship bias in the universe, look-ahead bias in the data, spread and slippage left out of the model, and above all parameter selection across many variants until one looks good. Each is individually small; together they routinely turn a losing strategy into a profitable-looking backtest.
What are market internals?
Breadth measures covering the whole market: advancing versus declining issues, the NYSE TICK, new highs against new lows, and volume distribution. They show whether an index move is broad participation or a handful of large names, which price alone cannot reveal.