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The Book on One Card

Reading time ~12 min • Module 13: The Book
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Four columns are on the card and none of them could answer the only question a reader actually has, which is what to run. Answer it. Take the four-rule book and delete one member at a time, and three of the four deletions improve it. Deleting the worst rule by return takes the book from 3.70 net to 3.81 and from 2.000 of net return per unit of depth to 2.155. Deleting the busiest takes it to 2.077. Deleting the slowest, the only member that never looked impressive in the return column, is the one deletion that makes the book worse, at 1.718. And every one of the four three-rule books loses to that slowest rule run entirely on its own, which nets 3.98 on one position change and a worst run of 1.10, for 3.615. The module built a book out of four rules, measured it four ways, and finished by deleting three of them.

Prerequisites: all four columns of this module’s card: lesson 91 for what each rule earns, lesson 92 for the three moves it came from, lesson 93 for the turnover, and lesson 94 for the depth. This is the lesson none of them could have carried alone.

What a card is for

A column is a measurement and a card is a decision. Module 9 finished the same way, in lesson 75, with four columns that did not argue but queued, and the one that bound was the one that could be enforced before an order went out. This module’s four columns queue differently, and the reason is worth naming before the table: none of these four can be enforced in advance. Return, concentration, turnover and depth are all measured after the fact, on a record, which means the card cannot tell you what to run. It can only tell you what to stop running, and that turns out to be enough.

So the operation is deletion rather than selection. Take the book as it stands, remove one member, and recompute all four columns on the three that are left. Do it four times, once per member. Every figure below is on the same twenty-eight moves, at the same 0.1230 a share per position change, weighted equally across whatever remains, and the last column is net return divided by worst run, which is the only number on the card that needs three of the four columns to exist.

The card, and the card with one row removed

BookGrossChangesNetBest three movesWorst runNet for each unit of depth
All four4.10133.700280.5%1.852.000
Without 2 and 53.8343.669386.1%1.772.077
Without 3 and 104.17113.715779.2%1.772.103
Without 5 and 204.30123.808076.7%1.772.155
Without 8 and 304.10123.608080.5%2.101.718
Only 8 and 304.1013.977087.8%1.103.615
Holding6.6016.477057.6%2.103.084

Read the last column down the first five rows. Every deletion but one improves the book, and the improvements are not small: the best of them raises net return per unit of depth by 7.8 per cent while raising the net return itself. A four-rule book is worse than three of the four three-rule books you can make out of it, which means the fourth rule was never paying for itself in the first place.

The exception is the row that matters. Deleting the 8-and-30 is the only deletion that makes the book worse, and it makes it worse on three columns at once: the net falls to 3.61, the depth goes back to the 2.10 that every long position in this window shares, and the ratio drops by 14.1 per cent. That rule was third of four on gross return, which is the column a reader arrives at this module already ranking on, and it is the one member the book cannot afford to lose.

The sixth row is the one that ends the argument. Run the 8-and-30 alone, with no book around it at all, and it nets 3.98 against the four-rule book’s 3.70, on one position change instead of thirteen, with a worst run of 1.10 instead of 1.85. It beats the four-rule book and all four three-rule books on net return, on turnover and on depth simultaneously. There is no column on this card on which running the book is better than running one of its members.

The queue, and what is at the front of it

Take the card to the decision it exists for. A reader has these four rules and has to choose what to run on Monday.

Rank on return alone, which is what lesson 91 supplied and what almost everybody stops at, and the answer is the 2-and-5 at 4.90 gross. Add lesson 93’s turnover column and that answer is wrong: nine position changes cost 1.11 and the 2-and-5 falls to second at 3.79. Add lesson 94’s depth column and it falls again, because it carries the full 2.10 run while the 8-and-30 carries 1.10. Add lesson 92’s concentration column and the entire ranking loses its support, because 80.5 per cent of the four-rule book’s result is three moves and no ordering resting on three observations is an ordering.

So the queue is: the return column proposes, the turnover column reverses it, the depth column reverses it again, and the concentration column says none of the three had enough evidence to be making claims. Four measurements, four different answers, and the first three of them are the ones a platform prints.

What survives all four is the one statement none of the columns contradicts: this book should not exist. Its best available version is one of its own members, and that member wins by not doing things. It changes position once. It is out of the market for the first two moves of the worst run and in for the rest. It has no diversification benefit, no weighting scheme, no rebalancing, and no answer to the question of what to do when it is wrong.

A card is not a scoreboard. It is a list of the ways a book can be worse than one of its parts.

Then there is the seventh row, and this module has been putting it at the bottom of every table since lesson 91 for a reason. Holding nets 6.48 over the same twenty-eight moves, which is 63 per cent more than the best thing on this card, on one position change and the same 2.10 worst run that four of the six other rows carry. It loses only one column, the last, where the 8-and-30’s 3.615 beats its 3.084, and it loses that one because it takes a deeper run to make more money. That is the honest summary of module 13: four lessons of measurement on a book of four rules produced one rule that is better per unit of pain than doing nothing, and nothing that is better in dollars.

So take your own book, delete each member in turn, and recompute all four columns on what is left.

What this does not settle

That deletion is a strategy. It is a diagnostic. Deleting the member that improves the card most, on a record of twenty-eight moves in which the result is three of them, is a spectacular way to overfit, and it is the same error lesson 63 measured when it searched 253 rules and found the winner below the median of what a structureless series produces. The correct use of this card is to notice that the book is dominated, not to run the deletion the card recommends.

That four rules is a book. It is four settings of one idea, and the module has said so on every page. Lesson 71 measured what that costs at 0.9472, and a book of genuinely different objects is a different question that this course has no data to answer. What transfers is the card and the deletion test, not the verdict.

That the last column is a respectable statistic. Net return divided by worst run is not a Sharpe ratio, is not comparable across records of different lengths, and rewards a record that happened to avoid one bad fortnight. Lesson 94 cited the reason: expected maximum drawdown grows with the length of the record, so this ratio flatters short samples and this sample is very short.

That holding wins. It won every column in this module because the price rose from 99.9 at bar 31 to 106.5 at bar 59, and lesson 63’s shuffle is the whole reason a single rising window settles nothing. What the benchmark is for is to stop a book being graded against zero, and this book was graded against 6.48 and lost. That is a fact about this window and it is the fact lesson 66 said to record rather than to argue with.

And the concession that costs most: this module measured a book and never once asked what the person running it was going to live on. Every figure on this card is dollars a share on one instrument, with no account size, no withdrawals and no fixed costs, which is exactly the abstraction lesson 79 and lesson 80 spent their pages dismantling. Module 14 puts the account back and starts where this card stops: at the pace lesson 76 measured, a system with a genuine edge of a tenth of an R a trade loses money in 41.3 per cent of its months, and the first thing a trading business has to survive is not a drawdown but an ordinary year.

Problems

  1. Fill in one row. Take your own book over the last twelve months and compute the four columns for it: net return, the share of it coming from your best three days, your position changes, and your worst run. Ten minutes if you already did the problems in lessons 91 to 94, and you end holding one number: net return divided by worst run.
  2. Delete one member. Remove whichever rule you like least, recompute the same four columns on what is left, and compare the two ratios. Half an hour, and you end holding one number: the change in the ratio. If it is positive, the rule you removed was costing you.
  3. Delete each of them. Do it once per member, so you have as many rows as you have rules, and add a row for each member run alone. An evening, and you end holding one number: how many of your single rules beat your whole book on the ratio. On this card the answer is one of four, and that one beats it on every column at once.

Sources. Victor DeMiguel, Lorenzo Garlappi and Raman Uppal, “Optimal Versus Naive Diversification: How Inefficient Is the 1/N Portfolio Strategy?” (Review of Financial Studies, 2009), for the result the equal-weight book on this card rests on: across fourteen data sets, no optimising rule reliably beat 1/N out of sample, because the estimation error in the inputs outweighs the gain from optimising them. Michael C. Jensen, “The Performance of Mutual Funds in the Period 1945–1964” (Journal of Finance, 1968), for the practice the last row of the table follows, of grading a book against a passive alternative rather than against zero, which is the only comparison that can be lost.

Module 13 ends here, and the module 13 quiz is six questions that hand you numbers and ask for a number back: average four rules into a book and compare it with its best member, find what share of a year three moves are, subtract the turnover and watch the ranking invert, measure a worst run against a fully long position, find the rule that wins by never trading, and delete one member to find the book improves. Module 14 then puts the account back.

Related Lessons
Lesson 91

What the Whole Grid Earns

The first column, and the 4.16 the whole grid earns.

Read Lesson →
Lesson 75

Which Limit Binds First

The other card in this tier, and the column on it that can be enforced in advance.

Read Lesson →
Lesson 94

The Ride You Actually Bought

The depth column this page spends.

Read Lesson →
Terms From This Lesson

Each of these is defined in the glossary against the arithmetic on this page.

Equal-Weight Book · Leave-One-Out Test · Return Concentration · Turnover · Worst Run

Educational only. Trading involves substantial risk of loss. Not financial advice. Past performance does not guarantee future results.

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