Book: Commodities For Dummies, 2nd Edition
Author: Amine Bouchentouf
Difficulty: Intermediate
The Big Idea
A commodity story and an investment are two different things. Copper may be essential to construction, yet a copper producer can struggle with debt, rising costs or a disrupted mine. Oil can rise while a particular oil fund delivers a different return because it owns futures with a rolling schedule.
Bouchentouf introduces the commodity markets through their economic uses and the many ways to access them. This companion turns that introduction into a series of decisions: identify the exposure, check the units, follow the cash flows, and test the explanation against a plausible counterexample.
Keep the book beside you. Read each assigned chapter before doing its lab; these are original exercises and critical applications, not a replacement for the reading. The supplied edition’s copyright page identifies Wiley Publishing, Inc., ©2011, and ISBN 9781118016879. References below use chapter numbers because EPUB pagination changes with the reading device.
The author often argues for a commodity bull market and recommends particular companies or products using information available around the edition’s publication.
Treat those recommendations, forecasts, prices, tax tables and contract lists as historical material. The workbook’s invented figures teach mechanics; they are not current quotes, allocations or recommendations.
If You Remember Only One Thing
Name exactly what you own before predicting what it will do. A bullion holding, a futures position, an unsecured note and a mining share can respond differently to the same commodity headline.
60-Second Summary
- Separate physical supply and demand from the investment vehicle’s return.
- Check location, grade, unit, currency and delivery period before comparing prices.
- Futures margin is a performance bond; it does not cap losses at the deposit.
- A futures curve compares maturities today. It does not promise tomorrow’s spot price.
- Energy, metals, crops and livestock each need a different research calendar.
- Company costs, financing and hedges can outweigh the commodity’s price move.
- Preserve dated evidence and record what would disprove your idea.
Contents
Quick Study Guide
Use this sheet after the reading. When a calculation feels easy, explain its assumptions without looking at the answer.
| Concept | Working definition / formula | Mistake to avoid |
|---|---|---|
| Exposure | The economic risk actually held: physical inventory, derivative, corporate cash flow or issuer obligation. | A commodity name in a product title does not identify the holdings. Chapter 5 lab. |
| Stocks and flows | Inventory is measured at a point in time; production and consumption are rates over a period. | Comparing barrels with barrels per day without converting periods. Chapter 10. |
| Notional and margin | Notional = quoted price × contract quantity × contracts, after converting quote units. Margin is collateral. | Treating collateral as the whole exposure or maximum loss. Chapter 9. |
| Linear futures P/L | Long P/L = (exit − entry) × quantity × contracts; short reverses the price difference. Excludes costs. | Forgetting cents-to-dollars, currency or multiplier. Chapter 9. |
| Basis | State the convention. Here: cash price − matched futures price. | Comparing different grades, delivery places or dates without recording the mismatch. |
| Curve shape | Contango: later contracts cost more than nearer ones in the comparison. Backwardation reverses that relation. | Calling an upward curve a guaranteed rising-price forecast. |
| Futures fund return | Futures P/L, contract selection and rolling, collateral income and expenses all matter. | Assuming a spot-price headline equals the fund’s holding-period return. Chapter 6. |
| Producer sensitivity | Simplified operating contribution = (realized price − unit cash cost) × volume. | Calling this net income; debt, tax, capital spending and hedges remain. Chapter 18. |
| Energy units | MW measures power; MWh measures energy. MMBtu = one million Btu; a therm = 100,000 Btu. | Equating a cubic foot of gas with a fixed amount of heat without the heat-content assumption. |
| Market information | Record reference period, release time, revision status and what was expected. | Using a later revision as if it was known at the historical decision time. Chapter 23. |
| Rolling drawdown | 100 × (close / highest close in the chosen window − 1), only for positive prices. | Confusing a rolling price statistic with account losses or maximum lifetime drawdown. Indicator lab. |
Seven Study Blocks
These are study blocks, not a promise to finish in seven days. Split long blocks across several sittings. Use a notebook or spreadsheet; no brokerage account or paid data subscription is required for the fictional exercises.
| Block | Read | Produce before moving on |
|---|---|---|
| 1 – Identify the risk | Chapters 1–4 | An exposure map, a two-sided demand thesis and a whole-portfolio loss scenario. |
| 2 – Inspect the wrapper | Chapters 5–7 | A holdings comparison, an index-methodology note and a manager due-diligence page. |
| 3 – Understand the obligation | Chapters 8–9 | An order-behavior comparison and a contract/margin calculation you can explain. |
| 4 – Follow energy cash flows | Chapters 10–14 | Separate inventory, heat content, generating capacity, utilization and shipping economics. |
| 5 – Stress the metals thesis | Chapters 15–18 | A physical-versus-equity comparison and a mining cost/volume sensitivity. |
| 6 – Respect biological timing | Chapters 19–21 | A crop balance sheet, a processing-margin example and a livestock cost scenario. |
| 7 – Build an evidence trail | Chapters 22–25 and the glossary | A verified resource map, observation log and capstone with an explicit rejection case. |
Chapter-to-lab map
| Chapter | Reading title | Assignment |
|---|---|---|
| 1 | Investors, Start Your Engines! An Overview of Commodities | Read the complete chapter, then complete its matching lab below. |
| 2 | Earn, Baby, Earn! Why You Should Invest in Commodities | Read the complete chapter, then complete its matching lab below. |
| 3 | Investing in Commodities: Only for the Brave? | Read the complete chapter, then complete its matching lab below. |
| 4 | Feel the Love: Welcoming Commodities into Your Portfolio | Read the complete chapter, then complete its matching lab below. |
| 5 | Benefiting from Exchange-Traded Funds | Read the complete chapter, then complete its matching lab below. |
| 6 | Track and Trade: Investing through Commodity Indexes | Read the complete chapter, then complete its matching lab below. |
| 7 | Show Me the Money! Choosing the Right Manager | Read the complete chapter, then complete its matching lab below. |
| 8 | Exploring Commodity Exchanges, Brokers, and Trading Accounts | Read the complete chapter, then complete its matching lab below. |
| 9 | Back to the Future: Getting a Grip on Futures and Options | Read the complete chapter, then complete its matching lab below. |
| 10 | It’s a Crude, Crude World: Investing in Crude Oil | Read the complete chapter, then complete its matching lab below. |
| 11 | Welcome to Gas Vegas, Baby! Trading Natural Gas | Read the complete chapter, then complete its matching lab below. |
| 12 | Keeping It Natural: Investing in Renewable Energy | Read the complete chapter, then complete its matching lab below. |
| 13 | Fuel for Thought: Looking at Alternative Energy Sources | Read the complete chapter, then complete its matching lab below. |
| 14 | Totally Energized: Investing in Energy Companies | Read the complete chapter, then complete its matching lab below. |
| 15 | All That Glitters: Investing in Gold, Silver, and Platinum | Read the complete chapter, then complete its matching lab below. |
| 16 | Metals That Prove Their Mettle: Steel, Aluminum, and Copper | Read the complete chapter, then complete its matching lab below. |
| 17 | Weighing Investments in Heavy and Not-So-Heavy Metals | Read the complete chapter, then complete its matching lab below. |
| 18 | Mine Your Own Business: Unearthing the Top Mining Companies | Read the complete chapter, then complete its matching lab below. |
| 19 | Breakfast of Champions: Profiting from Coffee, Cocoa, Sugar, and Orange Juice | Read the complete chapter, then complete its matching lab below. |
| 20 | How to Gain from Grains: Trading Corn, Wheat, and Soybeans | Read the complete chapter, then complete its matching lab below. |
| 21 | Alive and Kicking! Making Money Trading Livestock | Read the complete chapter, then complete its matching lab below. |
| 22 | Ten or So Investing Resources You Can’t Do Without | Read the complete chapter, then complete its matching lab below. |
| 23 | Top Ten Market Indicators You Should Monitor | Read the complete chapter, then complete its matching lab below. |
| 24 | Top Ten Commodity ETFs | Read the complete chapter, then complete its matching lab below. |
| 25 | Top Ten Investment Vehicles for Commodities | Read the complete chapter, then complete its matching lab below. |
Chapters 1–4: Find the Exposure Before the Forecast
Chapter 1 lab: One commodity, several investments
Read first: Chapter 1 in the book. Your objective: Trace who benefits and who pays when an input price changes.
The opening chapter surveys ways into commodity markets. Our starting question is more specific: where does a price change enter the cash flow? A producer sells the raw material; a retailer may buy it as an input. Their shares are not interchangeable bets on that material.
Original worked example – fictional figures
A fictional coffee retailer buys 100,000 pounds each year. Assume its purchase price rises from $2.00 to $2.50 per pound and that volume and selling prices stay fixed.
| Step or observation | Calculation / evidence | Interpretation |
|---|---|---|
| Input bill before | 100,000 × $2.00 = $200,000 | Annual cost under the first assumption. |
| Input bill after | 100,000 × $2.50 = $250,000 | Annual cost rises $50,000. |
| Equity interpretation | No offsetting menu-price increase assumed | Higher bean prices can squeeze the retailer even while helping an unhedged grower. |
Apply it: Choose one commodity in the reading. Draw separate cash-flow arrows for a producer, a processor and a consumer. Identify one risk unique to each.
Practice before opening the answers
- Why is the retailer not a direct long coffee position?
- What observation could overturn the cost-squeeze example?
Show explained answers
- It earns a retail margin and purchases beans. Wages, rents, pricing power and hedges also affect profit.
- An effective hedge, lower volume, a different purchase contract or sufficient selling-price increases. The arithmetic is conditional, not a stock forecast.
Chapter 2 lab: Turn a demand story into a test
Read first: Chapter 2 in the book. Your objective: Write a bullish claim with a falsifiable countercase.
The author emphasizes industrialization, population growth and constrained supply. Those are hypotheses about quantities and timing. They do not by themselves establish an investment return: substitution, new capacity and an already expensive entry price can change the result.
Original worked example – fictional figures
Use an invented annual market measured in millions of units. Demand begins at 100 and supply at 100; then demand grows 3% while production grows 5%.
| Step or observation | Calculation / evidence | Interpretation |
|---|---|---|
| Demand next year | 100 × 1.03 = 103 | Consumption can grow without creating scarcity. |
| Production next year | 100 × 1.05 = 105 | Supply grows faster in this scenario. |
| Balance before adjustments | 105 − 103 = 2 | A potential inventory build; actual prices depend on expectations and other adjustments. |
Apply it: Write a three-line thesis: expected change, causal mechanism and evidence that would make you abandon it. Add a lag for any proposed new supply.
Practice before opening the answers
- Does rising demand prove prices must rise?
- What makes the thesis testable?
Show explained answers
- No. Compare demand with supply, available inventory, substitution and what the market already expected.
- Specify a commodity, region, period, data series and rejection condition. For example, reject the shortage thesis if usable inventories rise despite the forecast demand growth.
Chapter 3 lab: Measure the leverage hiding behind the deposit
Read first: Chapter 3 in the book. Your objective: Distinguish price risk from collateral and funding risk.
The risk chapter discusses leverage, crises, fraud and diversification. Our numerical extension separates notional exposure from the cash balance that supports it. A small initial deposit is not a small position, and daily settlement can create a cash demand before a longer-term thesis has time to work.
Original worked example – fictional figures
A fictional linear futures position represents 1,000 units at $60. The account contains $10,000. This is a teaching contract, not an exchange specification.
| Step or observation | Calculation / evidence | Interpretation |
|---|---|---|
| Notional exposure | $60 × 1,000 = $60,000 | Six times the account balance. |
| Adverse price move | $60 to $56: −$4 × 1,000 = −$4,000 | A 6.67% price decline removes 40% of this account before costs. |
| Balance after loss | $10,000 − $4,000 = $6,000 | Compare with maintenance and broker rules; not every daily loss automatically creates a margin call. |
Apply it: List a price shock, a liquidity shock, an intermediary failure and a fraud warning sign. Give each a different research or mitigation action.
Practice before opening the answers
- Is the initial margin the most the trader can lose?
- Would adding another highly correlated energy contract guarantee diversification?
Show explained answers
- No. Futures losses can exceed the deposit and can require additional money.
- No. Different contract names can share the same underlying shock. Stress co-movement and funding requirements together.
Chapter 4 lab: Look through the whole portfolio
Read first: Chapter 4 in the book. Your objective: Separate risk willingness from financial capacity to bear losses.
The portfolio chapter connects goals, net worth and allocation. Its allocation examples and tax tables are historical, not a prescription for the reader. Treat existing resource shares, employment income and other investments as possible overlapping exposures rather than examining one new account in isolation.
Original worked example – fictional figures
An invented $80,000 investment portfolio already includes $12,000 of resource shares. The investor considers another $8,000 commodity holding.
| Step or observation | Calculation / evidence | Interpretation |
|---|---|---|
| Existing resource share | $12,000 / $80,000 = 15% | Already exposed before adding anything. |
| Combined sleeve | ($12,000 + $8,000) / $80,000 = 25% | Assumes the purchase reallocates existing assets, keeping total value $80,000. |
| Stress loss | $20,000 × 35% = $7,000 | 8.75% of the whole portfolio if other assets are unchanged; actual exposures are not identical. |
Apply it: Complete a fictional assets-minus-liabilities calculation, then identify near-term cash needs. Explain why an age-only allocation rule misses those needs.
Practice before opening the answers
- What changes if $8,000 is new outside money?
- Why is net worth different from liquid risk capital?
Show explained answers
- The denominator becomes $88,000 and the combined sleeve is about 22.73%. State the funding assumption.
- A home, pension restrictions, debts and upcoming expenses can make net worth unavailable to fund losses or withdrawals.
Chapters 5–9: Read the Holdings, Mandate and Contract
Chapter 5 lab: A ticker is a wrapper, not an explanation
Read first: Chapter 5 in the book. Your objective: Classify an exchange-traded product by its legal structure and assets.
The chapter introduces exchange-traded access. Look beneath the broad ETF label: physical trusts, futures pools, equity funds and exchange-traded notes create different obligations. In particular, an ETN is issuer debt, not a basket of assets owned for the noteholder.
Original worked example – fictional figures
Three invented products use the word gold. Assume a 10% gold-price rise; the figures below are illustrative outcomes, not tracking predictions.
| Step or observation | Calculation / evidence | Interpretation |
|---|---|---|
| Product A | Owns allocated bullion; costs reduce holdings per share over time | Its mechanics are closer to bullion than a mining equity basket. |
| Product B | Owns mining companies with debt and operating costs | A 10% metal move does not define the share return. |
| Product C | Unsecured issuer note linked to a benchmark | Benchmark exposure plus issuer credit and note terms. |
Apply it: Use Worksheet 2 to classify two fictional products first. If researching a real product later, record the issuer document date and exact benchmark return type.
Practice before opening the answers
- Which document tells you what the product owns or promises?
- Can a daily 2× product be assumed to return twice a two-month move?
Show explained answers
- The current prospectus and relevant issuer holdings or note supplement. A marketing headline is insufficient.
- No. Daily resets and compounding make the path matter. Its stated daily objective is not a holding-period multiplier.
Chapter 6 lab: Indexes measure different baskets
Read first: Chapter 6 in the book. Your objective: Explain why two commodity benchmarks can disagree.
Chapter 6 compares index construction. Weights, eligible markets, contract selection, rebalancing and return definitions matter. An index is a calculation; an investable product introduces expenses, implementation choices and possibly credit or derivative exposure.
Original worked example – fictional figures
Ignore rebalancing and costs for a single period. Energy rises 20%, metals fall 10%, and other components are unchanged.
| Step or observation | Calculation / evidence | Interpretation |
|---|---|---|
| Benchmark A | 60% energy × 20% + 40% metals × (−10%) = 8% | Higher energy weight helps in this particular period. |
| Benchmark B | 20% energy × 20% + 80% metals × (−10%) = −4% | Same sector moves, different index return. |
| Return label | Price, excess return or total return? | A comparison must match collateral-income and methodology treatment. |
Apply it: Sketch a two-maturity curve and record both prices on the same date. Explain why joining front-month chart prices is not a complete rolled-investment return calculation.
Practice before opening the answers
- Does A’s higher return prove it is the better index?
- Why can a futures fund lag a rising spot market?
Show explained answers
- No. It reflects this period’s exposures. A different sector outcome can reverse the ranking.
- Its contracts can fall or converge differently, rolling changes the exposure, and expenses reduce return; collateral income may offset part of that. Inspect actual holdings and dates.
Chapter 7 lab: Delegation still requires due diligence
Read first: Chapter 7 in the book. Your objective: Distinguish manager skill, fee mechanics and investment structure.
The managed-investment chapter spans funds, commodity pools, advisors and partnerships. A manager’s reported success does not remove custody, mandate or liquidity questions. Registration checks are useful, but registration is not a regulator’s investment endorsement or a guarantee against losses.
Original worked example – fictional figures
A fictional account starts at $100,000 and earns 10% gross. Define the simplified fee order explicitly: a 2% opening-balance fee, then a 20% fee on profit remaining after that fee. No other charges.
| Step or observation | Calculation / evidence | Interpretation |
|---|---|---|
| Gross profit | $100,000 × 10% = $10,000 | Before fees. |
| First fee | $100,000 × 2% = $2,000 | Remaining profit $8,000. |
| Performance fee | $8,000 × 20% = $1,600 | Net profit $6,400; net return 6.4%. Actual contracts may use different timing, hurdles or high-water marks. |
Apply it: Prepare five questions: who holds assets, what can be traded, how losses are funded, when money can be withdrawn, and exactly how fees are calculated. For an MLP, add distribution coverage and applicable tax documentation.
Practice before opening the answers
- What must accompany a manager’s return chart?
- Does pooling automatically create leverage or guaranteed limited liability?
Show explained answers
- Period, net/gross basis, fees, withdrawals, leverage, drawdowns and whether the record is actual, hypothetical or selected.
- No. Leverage depends on positions and financing. Investor liability depends on legal structure and documents; do not infer it solely from the CPO label.
Chapter 8 lab: Follow an order through the market
Read first: Chapter 8 in the book. Your objective: Compare price control, fill uncertainty and intermediary roles.
The exchanges chapter describes market infrastructure, including floor-era practices. Focus your present-day study on the exchange rulebook, broker order handling and clearing relationships. An introducing broker solicits orders but does not accept customer assets in the way an FCM can; those roles should not be treated as synonyms.
Original worked example – fictional figures
A fictional market closes near 100 and reopens with available selling interest at 94. A long holder had considered several exits. Availability and fills are assumptions, not guaranteed outcomes.
| Step or observation | Calculation / evidence | Interpretation |
|---|---|---|
| Stop-market trigger at 98 | May trigger and execute around 94 or worse | Trigger level is not a guaranteed execution price. |
| Stop-limit: trigger 98, limit 97 | May trigger but remain unfilled below 97 | Price constraint creates non-execution risk. |
| Market order | Seeks execution at available prices | It does not reserve the last displayed trade price. |
Apply it: Write an order ticket on paper with contract month, direction, quantity, order type, time-in-force and exit contingencies. Explain how it could fail to behave as hoped.
Practice before opening the answers
- Why distinguish last trade, bid/ask and official settlement?
- Is fill-or-kill a promise of three execution attempts?
Show explained answers
- They serve different purposes and can differ, especially in thin markets or around a close. Margin calculations use the relevant settlement process.
- No. It is an immediate full-fill-or-cancel instruction, subject to the venue’s supported order rules. Verify the actual order type rather than using a remembered shorthand.
Chapter 9 lab: Calculate the obligation in the correct units
Read first: Chapter 9 in the book. Your objective: Work through futures P/L, margin and option payoff without confusing them.
The derivatives chapter introduces futures, curve structure, spreads and options. Record the exchange, grade, month, quote unit, quantity, tick, settlement method and key deadlines before calculating anything. Tick size is the minimum price increment; a daily price limit is a different rule.
Original worked example – fictional figures
Use a teaching contract for 2,000 units quoted in dollars per unit. Buy one at $25.00; initial margin is assumed $3,000, maintenance $2,200 and daily settlement becomes $24.50.
| Step or observation | Calculation / evidence | Interpretation |
|---|---|---|
| Notional | $25 × 2,000 = $50,000 | Not the $3,000 collateral deposit. |
| Settlement loss | ($24.50 − $25.00) × 2,000 = −$1,000 | Account balance falls to $2,000 before other items. |
| Illustrative top-up | $3,000 − $2,000 = $1,000 | Below assumed maintenance; assumes a request to restore initial margin. Actual broker rules differ. |
Apply it: Fill Worksheet 1 using an explicitly fictional contract. Then inspect a live exchange specification only if you want to replace the assumptions; record the access date and broker deadline separately.
Practice before opening the answers
- If price later reaches $23, what is the total price loss from $25?
- A hypothetical put has strike $25, premium $1 per unit and expiry underlying price $22. What is its expiry net payoff?
- Does buying a later contract at $27 after closing one at $25 create an immediate $2 cash trading loss per unit?
Show explained answers
- −$2 × 2,000 = −$4,000 before costs. Margin transfers fund the account; do not add them again as separate trading losses.
- Intrinsic value = max($25 − $22, 0) = $3; net = $3 − $1 = $2 per unit before fees and any multiplier. A put gives the holder the right to sell; a call gives the right to buy.
- Not by that price comparison alone. Futures are margined, not purchased for full notional. Subsequent price paths, convergence, exposure sizing and costs determine realized return.
Chapters 10–14: Energy Is Several Businesses
Chapter 10 lab: Separate reserves, production and usable inventory
Read first: Chapter 10 in the book. Your objective: Build a consistent oil stock-and-flow balance.
The oil chapter mixes geology, benchmarks, production and company access. Reserves are not today’s production capacity, and total national reserves do not say how quickly barrels can reach a particular buyer. Grade, transport and location can produce different prices even within crude oil.
Original worked example – fictional figures
A fictional region starts a 30-day period with 50 million barrels in commercial storage. Production is 2.0 million barrels per day, imports 0.4 and consumption plus exports 2.5.
| Step or observation | Calculation / evidence | Interpretation |
|---|---|---|
| Net daily flow | 2.0 + 0.4 − 2.5 = −0.1 million barrels/day | A draw if no other flows or adjustments occur. |
| Thirty-day change | −0.1 × 30 = −3 million barrels | Convert the rate into a period quantity. |
| Ending inventory | 50 − 3 = 47 million barrels | Does not by itself prove a bullish surprise; compare with expectations and normal seasonal changes. |
Apply it: Label each oil statistic in your notes as stock, rate, price or forecast. Flag mismatched units before drawing a market conclusion.
Practice before opening the answers
- Can reserves be inserted directly into this monthly flow equation?
- Why might two crude benchmarks differ?
Show explained answers
- No. Reserves are a stock of recoverable resources under defined conditions, not barrels produced during the month.
- Quality, delivery location, transport capacity, local balances and contract terms can differ. Match what you compare.
Chapter 11 lab: Gas volume is not gas energy
Read first: Chapter 11 in the book. Your objective: Convert heat-content units and recognize regional constraints.
The natural-gas chapter links weather, storage, transport and LNG. The commodity can move through pipelines or liquefaction and shipping chains, but infrastructure and costs prevent every regional price from being the same. Keep physical volume separate from the energy sold.
Original worked example – fictional figures
Assume a fictional customer uses 500 therms. One therm is 100,000 Btu, while one MMBtu is 1,000,000 Btu. Ignore fixed fees and delivery charges.
| Step or observation | Calculation / evidence | Interpretation |
|---|---|---|
| Energy used | 500 × 100,000 = 50,000,000 Btu | That equals 50 MMBtu. |
| Commodity price assumption | 50 MMBtu × $4/MMBtu = $200 | Only the assumed commodity component. |
| Volume conversion | Requires gas heat content | Do not replace MMBtu with Mcf without a documented conversion assumption. |
Apply it: Create separate columns for region, storage period, weather horizon and delivery price. Explain which physical link connects them.
Practice before opening the answers
- Are a therm and a Btu synonyms?
- Could a cold-weather forecast fail to lift the relevant gas price?
Show explained answers
- No. A therm is 100,000 Btu. Confusing them makes a calculation wrong by a factor of 100,000.
- Yes. It may already be priced in, storage may be ample, production may respond, or the cold region may not match the benchmark’s delivery system.
Chapter 12 lab: Generating capacity does not equal generated energy
Read first: Chapter 12 in the book. Your objective: Translate renewable project capacity into a conditional output estimate.
The renewables chapter discusses solar, wind and biomass. Our extension focuses on project economics rather than repeating old company recommendations. Resource availability, grid access, financing, maintenance and the realized selling price determine the link from technology demand to investor cash flow.
Original worked example – fictional figures
A fictional 100 MW project has a 25% capacity factor over an assumed 8,760-hour year. This is a simplified output calculation, not a feasibility study.
| Step or observation | Calculation / evidence | Interpretation |
|---|---|---|
| Maximum nameplate output | 100 MW × 8,760 h = 876,000 MWh | Assumes continuous full output only as a comparison. |
| Expected output at assumption | 876,000 × 25% = 219,000 MWh | Before separately modeled losses if the capacity-factor definition excludes them. |
| Revenue at assumed $50/MWh | 219,000 × $50 = $10,950,000 | Revenue before operating costs, finance, tax and capital recovery. |
Apply it: Compare a project owner, equipment manufacturer and utility as three different ways to participate. Name one cash-flow driver for each.
Practice before opening the answers
- Does renewable mean available at full output all day?
- Why can demand growth fail to benefit a panel manufacturer’s shares?
Show explained answers
- No. Solar and wind output vary. Dispatchability, storage and transmission require separate assessment.
- Competition can reduce margins, financing can dilute shareholders, input costs can rise or the stock’s valuation can already assume strong growth.
Chapter 13 lab: Coal, uranium and electricity have different bottlenecks
Read first: Chapter 13 in the book. Your objective: Compare fuel markets with location-and-time-specific power.
This chapter brings together coal, nuclear fuel and electric utilities. Do not treat them as one price series. Fuel grade and logistics matter; uranium has a processing and contracting chain; electricity depends on delivery time, grid constraints and the operating structure of the generator or utility.
Original worked example – fictional figures
A fictional generator sells 1,000 MWh at $70/MWh. Variable fuel and operating costs are assumed $45/MWh. Next period, the selling price stays unchanged and variable costs rise to $60.
| Step or observation | Calculation / evidence | Interpretation |
|---|---|---|
| First contribution | 1,000 × ($70 − $45) = $25,000 | Before fixed costs, financing, tax and capital spending. |
| Second contribution | 1,000 × ($70 − $60) = $10,000 | A $15,000 decline despite unchanged electricity price. |
| Business distinction | Regulated utility versus merchant generator | Tariff recovery and contracts can make actual earnings respond differently. |
Apply it: Make three research questions: coal grade and transport, uranium contracting/processing, and electricity hour/location. Avoid comparing fuel prices without a heat-content conversion.
Practice before opening the answers
- Is a uranium mining share the same as owning deliverable uranium?
- Why is a daily power average insufficient for every generator?
Show explained answers
- No. Mining costs, permits, financing, contracts and corporate decisions intervene.
- Its actual generation hours may coincide with much higher or lower prices. Hourly output and location matter.
Chapter 14 lab: Follow the energy value chain
Read first: Chapter 14 in the book. Your objective: Separate refining spreads, utilization and tanker revenue.
The chapter profiles service firms, refiners and tanker operators. These business models should not be treated as interchangeable oil-price positions. Use upstream for exploration/production, midstream for transport/storage and downstream for refining/marketing; then inspect the particular company’s segment mix.
Original worked example – fictional figures
A fictional refinery processes 90,000 barrels per day with operable capacity of 100,000 barrels per day. Separately, a fictional tanker earns $25,000 per earning day for 300 days.
| Step or observation | Calculation / evidence | Interpretation |
|---|---|---|
| Refinery utilization | 90,000 / 100,000 = 90% | A ratio using matched capacity/input definitions, not a subtraction. |
| Unused capacity | 100,000 − 90,000 = 10,000 barrels/day | A quantity, not the utilization percentage. |
| Tanker gross revenue | $25,000 × 300 = $7,500,000 | Before operating costs, off-hire effects not already excluded, finance and capital spending. |
Apply it: For a fictional oil-services company, list customer capital spending, contract backlog and costs. Compare those with the inputs relevant to a refiner and tanker.
Practice before opening the answers
- Would higher crude prices automatically improve a refiner’s profit?
- Does a tanker own a long position in the oil it carries?
Show explained answers
- No. Product prices relative to crude inputs and operating costs matter. A crack-spread proxy also excludes many expenses.
- Not simply by transporting it. Freight rates, earning days, routes, fleet supply, charter terms and costs drive the shipping business.
Chapters 15–18: Test the Metal and the Company Separately
Chapter 15 lab: Bullion returns and mining returns differ
Read first: Chapter 15 in the book. Your objective: Account for physical purchase premiums, resale discounts and carrying costs.
The precious-metals chapter examines gold, silver and platinum through physical holdings, companies and derivatives. Their industrial and investment uses differ. A store-of-value argument does not guarantee a positive return over the reader’s holding period, and authenticity, custody and dealing costs matter for physical purchases.
Original worked example – fictional figures
Buy a fictional one-ounce bullion item when the reference spot price is $2,000. The dealer charges a 5% premium. Later spot is $2,200, but the dealer’s bid is 2% below spot.
| Step or observation | Calculation / evidence | Interpretation |
|---|---|---|
| Purchase price | $2,000 × 1.05 = $2,100 | Cash outlay exceeds the reference metal price. |
| Resale proceeds | $2,200 × 0.98 = $2,156 | Before storage, insurance and tax. |
| Holding return | ($2,156 − $2,100) / $2,100 = 2.67% | Much less than the 10% reference spot rise in this example. |
Apply it: Compare physical metal, a physically backed trust, a miner and a futures position. Give each a separate cost and risk column.
Practice before opening the answers
- Does a coin with lower purity necessarily contain less than its stated fine-metal weight?
- Why should jewelry not automatically be treated like low-cost bullion?
Show explained answers
- Not necessarily. Distinguish gross weight, fineness and the specified fine-metal content. Read the mint’s actual specification rather than inferring from karat alone.
- Fabrication, branding and retail margins may not be recovered at resale. Metal content and dealer terms matter.
Chapter 16 lab: Industrial demand meets industrial costs
Read first: Chapter 16 in the book. Your objective: Explain why more metal demand need not mean wider producer margins.
The industrial-metals chapter covers steel, aluminum and copper. Match each product to its market: steel grades differ, aluminum production is sensitive to power costs, and copper supply has its own mine and refining constraints. Avoid turning an industrial-activity narrative into an automatic equity recommendation.
Original worked example – fictional figures
A fictional metal producer sells 10,000 tonnes. Realized price starts at $2,000/tonne and unit cost at $1,500. Later the selling price rises 10% and unit cost rises 20%.
| Step or observation | Calculation / evidence | Interpretation |
|---|---|---|
| Original contribution | 10,000 × ($2,000 − $1,500) = $5 million | Before other expenses. |
| New price and cost | $2,200 selling price; $1,800 unit cost | Both rise, but by different absolute amounts. |
| New contribution | 10,000 × ($2,200 − $1,800) = $4 million | Down 20% despite a higher metal price. |
Apply it: Build a three-row steel/aluminum/copper comparison with end use, key input cost and supply bottleneck. Use the reading for context and current primary documents for any live figures.
Practice before opening the answers
- Can the book’s aluminum lot-size line be accepted without checking?
- Why is a single copper price not a complete cost forecast for a manufacturer?
Show explained answers
- No. Its 25,000-tonne figure is inconsistent with the official LME standard aluminum lot of 25 tonnes. Always inspect the exact current product specification.
- Grade, delivery premium, location, currency, freight and hedging can change the price actually paid.
Chapter 17 lab: Concentration and substitution belong in the same thesis
Read first: Chapter 17 in the book. Your objective: Stress a small metal market without assuming yesterday’s end uses persist.
The chapter focuses on palladium, zinc and nickel. Geographic concentration can make supply disruption significant, while substitution and changes in product technology can alter demand. The size of an old production share or the apparent necessity of an industrial use is not a permanent guarantee of price strength.
Original worked example – fictional figures
An invented metal market normally produces 1 million tonnes. A region supplies 40% and loses one-quarter of its output. Ignore inventories and other producers initially.
| Step or observation | Calculation / evidence | Interpretation |
|---|---|---|
| Region’s output | 1,000,000 × 40% = 400,000 tonnes | The concentrated exposure. |
| Initial lost output | 400,000 × 25% = 100,000 tonnes | 10% of the original global total. |
| Response case | 60,000 tonnes substitution/recycling + 40,000 inventory release | Could cover this period’s quantity gap under these assumptions; not a price forecast. |
Apply it: Choose one metal and write both a supply-disruption case and a substitution case. Name the measurable evidence needed for each.
Practice before opening the answers
- Does a 10% supply loss imply a 10% price rise?
- A table of mutually exclusive end-use shares totals 120%. What should you do?
Show explained answers
- No. Elasticities, inventory accessibility, contracts, expectations and timing govern the price response.
- Do not normalize it silently. Check source definitions, dates, overlap and possible errors. The book’s palladium end-use table is an opportunity to practice this check.
Chapter 18 lab: A mine is an operating business
Read first: Chapter 18 in the book. Your objective: Calculate price, volume and cost sensitivity before considering a mining share.
The mining chapter contrasts diversified and specialized companies and discusses acquisitions. Our analysis separates commodity sensitivity from operating results. Mine life, ore grade, recovery, ownership share, rehabilitation obligations, debt and capital requirements all affect the cash flow left for shareholders.
Original worked example – fictional figures
A fictional mine sells 100,000 ounces at $1,800 with cash operating cost of $1,200/ounce. Stress price down 10%, volume down 10% and unit cost up 10%.
| Step or observation | Calculation / evidence | Interpretation |
|---|---|---|
| Base contribution | 100,000 × ($1,800 − $1,200) = $60 million | A simplified operating contribution, not net income or free cash flow. |
| Stressed assumptions | 90,000 ounces; $1,620 price; $1,320 unit cost | Three changes act together. |
| Stressed contribution | 90,000 × ($1,620 − $1,320) = $27 million | Down 55%; still excludes finance, tax and capital spending. |
Apply it: Read a fictional acquisition case with a $40 cash offer and a $38 target share price. List reasons the $2 gap is not guaranteed profit; do not assume the deal closes or ignore time and costs.
Practice before opening the answers
- Why can a diversified miner still be concentrated?
- Does unusual volume prove an imminent takeover?
Show explained answers
- One segment, geography, customer or shared funding shock can dominate profits even if several metals are listed.
- No. It is an observation with many explanations. Use public filings and announced terms; a potential deal also carries financing, approval and completion risks.
Chapters 19–21: Timing, Yield and Feed Costs
Chapter 19 lab: Soft commodities need a local crop calendar
Read first: Chapter 19 in the book. Your objective: Connect a growing-region event to the relevant grade and delivery period.
The softs chapter covers coffee, cocoa, sugar and orange juice. A weather story needs a place, crop stage and exposure path. A beverage retailer, a processor, a grower and a futures holder can react differently. Sugar demand can also interact with fuel economics; orange-juice contracts concern a specified processed product, not every fresh orange.
Original worked example – fictional figures
A fictional crop region expects 2 million hectares harvested at 0.8 tonnes/hectare. Disease lowers realized yield to 0.68 tonnes/hectare. Keep harvested area unchanged.
| Step or observation | Calculation / evidence | Interpretation |
|---|---|---|
| Expected production | 2,000,000 × 0.8 = 1,600,000 tonnes | Area × yield. |
| Revised production | 2,000,000 × 0.68 = 1,360,000 tonnes | Down 240,000 tonnes, or 15%. |
| Market interpretation | Check inventories, other regions and prior expectations | A local production loss alone does not determine a contract return. |
Apply it: Make four rows-coffee, cocoa, sugar, orange juice-and record one production risk and one demand or processing risk for each. Keep local harvest seasons distinct.
Practice before opening the answers
- Why not use a single coffee price for every coffee business?
- A price tick is quoted as 0.01 cent/lb on 112,000 lb. What is its dollar value?
Show explained answers
- Bean variety, quality, origin, currency, purchase timing and hedges differ. A retailer may be hurt by higher input costs.
- 0.01 cent = $0.0001; multiplied by 112,000 gives $11.20. Writing $0.01 instead would imply $1,120. This is a unit-conversion exercise, not confirmation of a current contract tick.
Chapter 20 lab: Balance sheets connect crops to scarcity
Read first: Chapter 20 in the book. Your objective: Calculate a stocks-to-use ratio and a processing margin with matched units.
The grain chapter covers corn, wheat, soybeans, soybean oil and meal. Corn links food, feed and fuel; wheat grades and regions are not identical; soybeans produce multiple saleable outputs. A bushel conversion is commodity-specific, so keep report units intact until a verified conversion is needed.
Original worked example – fictional figures
Use a fictional annual grain balance in million bushels: beginning stocks 200, production 1,000, imports 20 and total use 1,100. This is an accounting exercise, not a USDA forecast.
| Step or observation | Calculation / evidence | Interpretation |
|---|---|---|
| Total supply | 200 + 1,000 + 20 = 1,220 | All items refer to the same region and marketing year. |
| Ending stocks | 1,220 − 1,100 = 120 | Supply minus total use. |
| Stocks-to-use | 120 / 1,100 = 10.91% | A conditional buffer measure; definitions and revisions matter. |
Apply it: Compare two editions of a crop report. Separate changes in area, yield, use and beginning stocks. State whether you are comparing marketing years or calendar years.
Practice before opening the answers
- If production drops 50 and all else stays fixed, what happens?
- A fictional batch costs $120 in beans, yields $50 oil plus $100 meal, and costs $20 to process. What is the simplified contribution?
Show explained answers
- Ending stocks become 70 and stocks-to-use becomes 70/1,100 = 6.36%. In reality, prices can also change consumption, trade and planting.
- $50 + $100 − $120 − $20 = $10. Match output yields and units before comparing product prices; this excludes fixed costs and financing.
Chapter 21 lab: Livestock joins biological timing to feed economics
Read first: Chapter 21 in the book. Your objective: Separate animal stage, contract settlement and operating margin.
The livestock chapter discusses live cattle, feeder cattle, lean hogs and the historical frozen pork-belly contract. These are different products at different stages. Feed costs, animal growth, disease, demand, slaughter capacity and trade restrictions can interact rather than creating a simple one-direction price response.
Original worked example – fictional figures
A fictional livestock operation earns $180,000 revenue. Animal purchases cost $100,000, feed $40,000 and other cash operating costs $20,000. Hold revenue fixed and increase feed costs 25%.
| Step or observation | Calculation / evidence | Interpretation |
|---|---|---|
| Base contribution | $180,000 − $100,000 − $40,000 − $20,000 = $20,000 | Before fixed capital, finance and tax. |
| Stressed feed bill | $40,000 × 1.25 = $50,000 | An additional $10,000 cost. |
| Stressed contribution | $180,000 − $100,000 − $50,000 − $20,000 = $10,000 | Contribution halves without a meat-price decline. |
Apply it: Write a disease-event scenario with separate supply, demand and trade channels. Explain why the net price direction cannot be deduced from the word outbreak alone.
Practice before opening the answers
- Why can higher feed costs affect feeder and finished animal prices differently?
- Should the book’s frozen pork-belly futures instructions be treated as an active trading route?
Show explained answers
- They enter different stages of the production chain. Buyers may pay less for animals they still need to feed, while later finished supply can adjust with a lag.
- No. CME delisted those futures and options effective July 18, 2011. Use the section as historical market context, not an order-entry reference.
Chapters 22–25: Turn Information into a Reviewable Decision
Chapter 22 lab: Build an evidence hierarchy
Read first: Chapter 22 in the book. Your objective: Choose sources by the question they can actually answer.
The resources chapter lists press, industry information and regulators. Our extension is a verification workflow: use reporting to find a question, then locate the original dataset, filing or rule. Trade associations can be knowledgeable while also having members’ commercial interests.
Original worked example – fictional figures
A fictional headline says oil stocks plunged. Before treating it as a shortage, build a short evidence chain.
| Step or observation | Calculation / evidence | Interpretation |
|---|---|---|
| Headline | A reporter’s interpretation | Useful lead, not the complete data definition. |
| Original release | Inventory category, region, units and reference week | Distinguish crude from products and commercial from other stocks. |
| Context | Expected change, seasonal pattern and revisions | A large draw may still be smaller than expected. |
Apply it: Build a five-source bookmark list: exchange, regulator, original data agency, issuer/company filing and independent reporting. Record what each cannot establish.
Practice before opening the answers
- Which source verifies a futures contract’s delivery obligation?
- Which source verifies manager registration history?
Show explained answers
- The exchange’s current specification and rulebook, plus broker-specific deadlines. A news article is not the governing contract.
- The relevant regulator or NFA BASIC record, matched to the exact legal identity. A clean record still does not guarantee safety or returns.
Chapter 23 lab: Economic releases are dated information
Read first: Chapter 23 in the book. Your objective: Distinguish reference period, release surprise and later revision.
The indicator chapter connects inflation, employment, output, rates, commodity indexes, the dollar and oil benchmarks. These are contextual variables, not universal trade signals. A stronger economy can lift demand yet also change interest-rate expectations, currency values and the price already paid for an asset.
Original worked example – fictional figures
An invented report shows inventories fell 2 million units; a dated consensus expected a fall of 5 million. Define surprise as actual change minus expected change.
| Step or observation | Calculation / evidence | Interpretation |
|---|---|---|
| Actual change | −2 million | Stocks declined. |
| Expected change | −5 million | The market expected a larger decline. |
| Surprise | −2 − (−5) = +3 million | Relatively more inventory than expected; not automatically a bullish result or a tradable prediction. |
Apply it: Create a paper event log with scheduled time, actual release time, reference period, expected value with source, first release and revision. Do not invent a historical consensus if unavailable.
Practice before opening the answers
- Why is a later revised GDP figure unsuitable for an as-known-then decision?
- Does total nonfarm payroll employment exclude all government and nonprofit employees?
Show explained answers
- It contains information unavailable at the original release. Use a preserved vintage or clearly label retrospective analysis.
- No. The book’s blanket exclusion is misleading. BLS nonfarm payroll measures include civilian government jobs and relevant nonprofit employment; employment change is also distinct from the household-survey unemployment rate.
Chapter 24 lab: Audit the old product list
Read first: Chapter 24 in the book. Your objective: Replace historical ranking with a documented product comparison.
Chapter 24’s top-products list belongs to its publication period. Product names, benchmarks, issuers, terms, fees and availability can change. Do not silently carry the list forward as a current recommendation; use it to practice finding the exact vehicle and checking whether it still fits the intended exposure.
Original worked example – fictional figures
Two fictional products both mention agriculture. A holds crop futures; B owns agricultural-equipment shares. Suppose crop prices rise 12%, while equipment margins fall.
| Step or observation | Calculation / evidence | Interpretation |
|---|---|---|
| Product A | Futures holdings and roll policy | Its return still depends on contracts and costs, not just the spot crop headline. |
| Product B | Equities of manufacturers | Customer spending, operating costs, debt and valuation also matter. |
| Comparison decision | Different economic exposures | A lower expense ratio alone cannot make them substitutes. |
Apply it: Complete Worksheet 2 for a pair of fictional alternatives. For optional real-world research, save the current issuer documents and date each observation. No purchase is required.
Practice before opening the answers
- What if an old ticker now refers to something else or no longer trades?
- What must be matched before comparing returns?
Show explained answers
- Mark the historical item as unresolved or inactive after checking the issuer/exchange. Do not guess a replacement or reuse an old purchase instruction.
- Dates, currency, distribution treatment, benchmark return type, leverage/reset objective and costs. Also understand structure and tracking limitations.
Chapter 25 lab: Separate the asset from the service provider
Read first: Chapter 25 in the book. Your objective: Build a final exposure chain from idea to implementation.
The final chapter revisits investment routes. Its list mixes instruments, benchmarks, companies and service providers. Reorganize them by function: what creates economic exposure, what legal claim you own, who makes decisions and who holds assets. An emerging-market fund adds country, currency and sector risks; it is not a pure commodity position.
Original worked example – fictional figures
An invented learner wants diversified futures exposure but first compares three routes on paper.
| Step or observation | Calculation / evidence | Interpretation |
|---|---|---|
| Benchmark | A specified commodity index | Defines a measurement method; it is not an account or asset you directly buy. |
| Product | A fund with a disclosed futures mandate | Creates the actual investor claim and implementation costs. |
| Service roles | Advisor, operator and carrying FCM as applicable | Decision-making, pool operation and custody/order roles must be identified separately. |
Apply it: Write one paragraph connecting commodity thesis → instrument → legal structure → costs → custodian/intermediary → exit or rejection condition. Use it as the opening of your capstone.
Practice before opening the answers
- Does hiring a CTA tell you exactly what exposures you will hold?
- What is a sound final decision if the structure or data cannot be verified?
Show explained answers
- No. Read its mandate and actual approach. A role or registration category is not a commodity allocation.
- Record the unresolved issue and defer or reject the candidate. A defensible no-action decision is a successful research outcome.
Clarifications for This Edition
These notes distinguish our corrections from the author’s wording. They are selected checks that affect the exercises, not a complete errata list or a claim that every historical company description has been updated.
| Reading issue | Use this distinction | Where to verify |
|---|---|---|
| Margin and loss limits | Futures margin is a performance bond; variation settlement and maintenance requirements are distinct. Deposits do not cap losses. | Exchange margin rules, broker terms and CFTC investor education. |
| Curve interpretation | Contango/backwardation describe a cross-maturity relationship observed at a time. Neither promises a price direction. | CME’s curve explanation, linked below. |
| ETF and ETN labels | A physical trust, futures pool, equity fund and unsecured note differ. IAU’s official materials describe bullion exposure, not a gold-futures portfolio. | Issuer prospectus and SEC product guidance. |
| Options wording | A put holder has a right to sell at the strike; a call holder has a right to buy. Exercise of an option on futures can produce a futures position with margin obligations. | The exact exchange option specification. |
| Gas and refinery units | Therm ≠ Btu; MMBtu is heat, not a fixed gas volume. Refinery utilization is an input/capacity ratio under a stated definition. | EIA definitions and unit guidance. |
| Aluminum contract size | The reading’s 25,000-tonne line should not be used for sizing. The official standard LME aluminum specification lists 25 tonnes. | Current LME specification; verify the exact product and date. |
| Palladium end-use percentages | The displayed end-use shares sum above 100%. Do not use them as a partition without resolving definitions or error. | Original statistical source and category definitions. |
| Historical frozen pork bellies | CME delisted frozen pork-belly futures and options effective July 18, 2011. | CME notice SER-5853. |
| Corporate filings | For a U.S. domestic reporting company, 10-K is annual, 10-Q quarterly and 8-K reports specified current events. Foreign issuers can use other forms. | SEC filing instructions and EDGAR. |
| Partnership payouts and tax | Do not assume all cash must be paid out or that distributions are simply tax free. Review the partnership agreement, coverage, legal structure and tax consequences. | Issuer filings and current professional tax guidance for the investor’s jurisdiction. |
| Payroll definition | Total nonfarm payrolls include civilian government and relevant nonprofit jobs. Payroll jobs and the unemployment rate are different measures. | BLS CES definitions and household-survey documentation. |
| Historical rankings and recommendations | Past company descriptions, tickers, production rankings, benchmark names and tax schedules are dated research leads. | Current issuer filings, exchange records and original statistical releases. |
Glossary retrieval drill
Read the book’s glossary, then close it. In your own words distinguish basis from curve spread; volume from open interest; MW from MWh; call from put; and index from fund. Reopen it and check your wording against the clarifications above. A technical indicator such as RSI or a moving average describes price behavior; its definition alone does not establish predictive ability. The EPUB’s final cheat-sheet pointer is a reference to an external resource, not an additional substantive chapter.
Four Reusable Worksheets
Copy these fields into a notebook or spreadsheet. The cells describe what to record; they are not interactive form fields and do not save information on this page. Use fictional figures where you do not have verified data.
Worksheet 1 – Contract and Observation Record
| Field | Record this | Check before interpreting |
|---|---|---|
| Identity | Commodity, exact contract month, venue, symbol, currency, chart time zone and observation time. | A continuous symbol is a constructed series, not a delivery contract. |
| Specification | Quantity, quote unit, tick, settlement method and specification source/access date. | Convert cents to dollars; distinguish metric tonnes, short tons and pounds. |
| Deadlines | First notice, last trading day, expiry and broker’s earlier cutoff if applicable. | Do not infer deadlines from the delivery month label. |
| Price record | Bid/ask or last trade; official settlement if used; cash benchmark and location. | Name the price type and any stale quote. |
| Scenario math | Notional; P/L for a specified price change; assumed collateral and maintenance. | Margin is not a stop-loss or a maximum loss. |
| Observation | What was known, what you expected, what happened and what remained ambiguous. | No fabricated fill or causal conclusion from a candle. |
Worksheet 2 – Product or Company Research
| Field | Record this | Question to answer |
|---|---|---|
| Claim held | Share, fund interest, trust interest, debt note or derivative. | What is the investor’s legal claim? |
| Economic assets | Holdings, segment revenue, contracts, counterparties or collateral. | What actually transmits the commodity move? |
| Method | Benchmark, selection/roll schedule, hedging and leverage/reset rules. | What can make it diverge from the headline price? |
| Costs and liquidity | Fees, spread, dealing/custody costs, redemption restrictions and tax-document considerations. | Which costs apply to the chosen holding period? |
| Business risks | Debt, refinancing, geography, production, capital spending and governance where relevant. | Could the commodity thesis be right and this vehicle still lose? |
| Evidence and decision | Document title, issuer, publication/access dates, unresolved questions and accept/reject rationale. | Can another reader reproduce your comparison? |
Worksheet 3 – Hypothetical Trade and Funding Plan
| Field | Fill in on paper | Reason |
|---|---|---|
| Research premise | Time horizon, measurable condition and rejection evidence. | Separate an economic explanation from an entry rule. |
| Instrument | Exact month or product, quantity and permitted paper-only activity. | Avoid accidentally substituting a different exposure. |
| Timing | Decision information timestamp; assumed order type and submission time. | A confirmed bar and an executable price are different things. |
| Risk references | Hypothetical entry, adverse scenario, any stop reference and gap/slippage allowance. | An exit trigger cannot guarantee a fill or cap losses. |
| Dollar exposure | Unit conversion, notional, P/L per tick and scenario loss plus explicit cost assumption. | Do the arithmetic independently of collateral. |
| Funding and expiry | Assumed margin, available hypothetical liquidity, maintenance shock and roll/exit deadline. | Funding constraints can arrive before the intended horizon. |
| After-event review | Observed prices versus assumed fills; unknowns; no invented win rate. | A paper plan is not an execution record. |
Worksheet 4 – Review and Error Log
| Field | What to write | Example of a useful correction |
|---|---|---|
| Claim and original belief | State what you expected before looking at the outcome. | I expected a stock draw to be bullish. |
| Evidence available then | Record release vintage, timestamps and source documents. | Actual draw was smaller than the dated consensus expected. |
| Error class | Units, timing, structure, causal logic, missing cost or unverifiable claim. | Compared a spot return with a rolled-futures product. |
| Corrected calculation | Show the calculation and the assumption you changed. | Converted cents per pound to dollars before multiplying. |
| Follow-up | One independent example or document that would test the correction. | Recompute another tick value without using the answer. |
| Decision impact | Keep, revise, defer or reject the original idea, with a reason. | Defer because contract settlement and deadlines remain unresolved. |
Pine Indicator: Observe Rolling Price Drawdown
The book’s risk and portfolio chapters motivate observing losses, but they do not supply the rule below. This is our original chart exercise: measure how far the current close sits below the highest closing price in a chosen rolling window. The default 63 bars and 10% threshold are editable study choices, not the author’s parameters or investment advice.
What This Indicator Shows
The teal line is 100 × (current close / highest close in the window − 1). Zero means the close equals the window’s highest close. The dashed line marks the negative warning threshold. Orange and teal markers identify confirmed crosses below and above that threshold, respectively. The two optional alert conditions use those same confirmed events.
The line includes the developing bar and can change before it closes. Markers and alerts require barstate.isconfirmed, so the event is finalized at the chart bar’s close. Use a once-per-bar-close alert frequency and recreate alerts after changing the indicator’s inputs. There is no higher-timeframe request, future-bar lookup, pivot confirmation or persistent trade setup; each event is a separate threshold crossing.
What This Indicator Does Not Show
It does not measure your account drawdown, cost basis, maximum historical drawdown, margin requirement, contract roll return, inventory balance or a profitable entry/exit method. It creates no orders, stops, targets or simulated fills. OHLCV cannot reveal the full physical balance or institutional intentions.
A rolling peak can expire. The reading can improve while price stays flat because an old higher close drops out of the window. It also uses closing peaks, not intrabar highs. A longer window is a different definition, not automatically a better signal.
Percentage drawdown is not a useful convention for a window containing zero or negative prices. The script suppresses the line for such a window, shades it amber and displays a warning. It also waits for a full window before reporting values. Continuous-futures rolls and historical adjustments can change the statistic; record the exact symbol, contract, adjustment settings, timeframe and data source. Missing chart bars are not reconstructed.
Validation status
The formula, threshold-crossing logic, positive-price guard and HTML code round-trip were checked statically and against an independent arithmetic fixture. The Pine script has not been compiled in TradingView or chart-tested. No performance results or successful live alerts are claimed. Compile it in Pine Editor and verify the fixture and real-time timing before relying on the display.
View Pine Script Indicator Code
//@version=6
indicator("CandleChasers Commodity Drawdown Study", shorttitle="CC Drawdown Study", overlay=false, precision=2)
lookback = input.int(63, "Rolling window (chart bars)", minval=2, maxval=5000)
warningPct = input.float(10.0, "Warning depth (%)", minval=0.1, maxval=99.0, step=0.5)
showEvents = input.bool(true, "Show confirmed threshold events")
peak = ta.highest(close, lookback)
lowClose = ta.lowest(close, lookback)
fullWindow = bar_index >= lookback - 1
validWindow = fullWindow and not na(close) and lowClose > 0 and peak > 0
drawdown = validWindow ? 100.0 * (close / peak - 1.0) : na
crossBelow = ta.crossunder(drawdown, -warningPct)
crossAbove = ta.crossover(drawdown, -warningPct)
warningEvent = barstate.isconfirmed and crossBelow
recoveryEvent = barstate.isconfirmed and crossAbove
plot(drawdown, "Close below rolling closing peak (%)", color=color.teal, linewidth=2, style=plot.style_linebr)
hline(0.0, "Rolling peak", color=color.gray)
hline(-warningPct, "Study threshold", color=color.orange, linestyle=hline.style_dashed)
plotshape(showEvents and warningEvent, title="Confirmed cross below threshold", style=shape.triangledown, location=location.top, color=color.orange, size=size.tiny, text="Below")
plotshape(showEvents and recoveryEvent, title="Confirmed cross above threshold", style=shape.triangleup, location=location.bottom, color=color.teal, size=size.tiny, text="Above")
bgcolor(fullWindow and not validWindow ? color.new(color.orange, 85) : na, title="Invalid nonpositive window")
var table status = table.new(position.top_right, 1, 1)
if barstate.islast
statusText = not fullWindow ? "Waiting for full window" : not validWindow ? "No % reading: window has nonpositive price" : "Rolling close drawdown; not account risk"
table.cell(status, 0, 0, statusText, text_color=color.white, bgcolor=validWindow ? color.new(color.teal, 20) : color.new(color.orange, 20), text_size=size.small)
alertcondition(warningEvent, "Drawdown threshold crossed below", "Confirmed close drawdown crossed below the configured study threshold on {{ticker}} ({{interval}}).")
alertcondition(recoveryEvent, "Drawdown threshold crossed above", "Confirmed close drawdown crossed above the configured study threshold on {{ticker}} ({{interval}}).")
Manual fixture: why the window matters
Set the window to 3 bars and the warning depth to 10%. Feed the following invented closes into a spreadsheet. A cross requires a previous valid reading, so the first reported reading is not itself a crossing event.
| Bar | Close | Rolling three-close peak | Drawdown | Confirmed crossing after close |
|---|---|---|---|---|
| 1 | 100 | Not yet reported | Not yet reported | None |
| 2 | 100 | Not yet reported | Not yet reported | None |
| 3 | 100 | 100 | 0% | None |
| 4 | 120 | 120 | 0% | None |
| 5 | 90 | 120 | −25% | Cross below −10% |
| 6 | 90 | 120 | −25% | None |
| 7 | 90 | 90 | 0% | Cross above −10%: old peak expired |
| 8 | 0 | 90 | Suppressed | No valid percentage reading |
| 9 | 100 | 100 | Suppressed | Zero remains inside the window |
| 10 | 100 | 100 | Suppressed | Zero remains inside the window |
| 11 | 100 | 100 | 0% | No cross from invalid prior reading |
Observation lab: does a deeper reading describe more severe later weakness?
Use a single identified series and a fixed dataset before inspecting outcomes. Our experimental hypothesis is that closes newly crossing below a 10% rolling drawdown threshold have larger subsequent adverse price changes than ordinary closes in the same sample. That is a research question, not an established effect or a trading rule.
- Freeze the definition: use a 63-bar window, the first confirmed cross below −10%, and a 20-bar observation horizon. Change only one element in a later comparison.
- Separate development and review: use the first two-thirds of the selected chronological sample to understand the definition and reserve the final third for an unchanged review. Do not choose dates because a famous crash is visible.
- Record outcomes manually: for a positive event close C, record the 20-bar later close return, 100 × (Ct+20/C − 1), and worst subsequent closing-price change, 100 × (minimum of the next 20 closes/C − 1). The event bar is excluded from that future window. These are price observations, not fills or returns earned by a trader.
- Control overlap: skip new events until the prior 20-bar observation window ends. Apply the same spacing to control observations sampled every 20 bars. Exclude incomplete horizons and windows with nonpositive closes; record exclusions.
- Compare with context: summarize event counts, median outcomes, ranges and calendar clustering against the control observations. The indicator marks events; it does not calculate these future outcomes or the comparison for you.
- Try one robustness check: compare 42 versus 63 bars without selecting whichever looks most profitable. Record whether peak expiry explains apparent recoveries. A single market episode can dominate the observations.
A weak, unstable or reversed relationship is useful evidence against the hypothesis. Even a stable descriptive difference would not establish a tradable edge: execution, costs, market selection, dependence between observations and unseen future regimes remain unresolved.
Capstone: Defend One Exposure and Reject Another
Choose one commodity discussed in the book and two genuinely different ways to obtain exposure. The outcome can be “neither is suitable for this fictional brief.” Use a fictional investor with a stated horizon, liquid capital, obligations and loss capacity; do not enter private account information.
- Build the physical case: identify uses, location, stock/flow units, production constraints, substitution and a seasonal or economic calendar.
- Write both sides: one causal thesis and one plausible countercase, each with observable rejection evidence.
- Map the vehicles: identify legal claim, assets/obligations, intermediaries, costs, leverage, liquidity and possible divergence from the commodity.
- Calculate one stress: show quantity, price move, currency, P/L or operating contribution, and costs excluded. If using futures, add collateral, expiry and an adverse funding scenario.
- Audit the evidence: retain document dates, reference periods, release vintages and unresolved questions. Distinguish historical book material from your original example and current verified information.
- Conclude with a decision: accept for further paper research, revise, defer or reject. Explain what new evidence would change that decision.
| Criterion | Points | Full-credit evidence |
|---|---|---|
| Physical market logic | 0–4 | Correct market, units, region and timing; distinguish stocks from flows. |
| Vehicle and obligation | 0–4 | Legal structure and cash-flow path explained; identify divergence and costs. |
| Arithmetic and funding | 0–4 | Reproducible calculation with conversions, stress assumptions and funding implications. |
| Evidence quality | 0–4 | Original documents and dates; no hindsight, invented consensus or unverified live claims. |
| Countercase and decision | 0–4 | Specific rejection evidence; a decision consistent with the fictional constraints. |
Completion standard: finish all 25 chapter labs, the glossary drill, the four worksheets and the capstone. Aim for at least 16/20 on the capstone with no criterion below 2. Any unresolved unit, contract-obligation or legal-structure error requires revision regardless of score. This is an educational self-check, not a credential or evidence of investment skill.
Show a capstone reasoning example
A fictional copper researcher compares a mine share with a copper-futures product. The demand thesis is increased grid investment, but the countercase includes supply expansion and substitution. The mine adds operating and debt risk; the futures product adds contract-selection, rolling and expense effects. Without verified holdings and costs, the defensible outcome is to defer the comparison. A correct conclusion identifies missing evidence instead of inventing a recommendation.
Official Verification Resources
Use these primary sources to check definitions and locate current documents. They do not validate the fictional examples as forecasts. Live rules, holdings, reporting schedules and tax treatment can change.
| Question | Primary resource | What it helps verify |
|---|---|---|
| Intermediary roles and futures risk | CFTC: FCMs and introducing brokers; understanding contract obligations | Account roles, obligations and risk of losses beyond the deposit. |
| Background checks | NFA BASIC | Match exact legal identity and review registration or disciplinary records; no investment endorsement. |
| Curve mechanics | CME: contango and backwardation | Cross-maturity prices, carrying factors and convergence. |
| Aluminum quantity | LME aluminum specifications | The exact standard product, quote unit, lot size and settlement terms. |
| Historical contract closure | CME frozen pork-bellies delisting notice | Historical delisting date and affected contracts. |
| Energy data and definitions | U.S. Energy Information Administration; petroleum definitions | Original energy releases, units and utilization definitions; check the current release calendar. |
| Crops and livestock | USDA; NASS; WASDE | Original production, use and balance-sheet releases; record vintage and marketing year. |
| Company evidence | SEC EDGAR | Current issuer filings, financial statements, risks and announced material events. |
| Notes and daily leverage | SEC: exchange-traded notes; SEC: leveraged and inverse ETFs | Issuer credit exposure and daily-reset limitations. |
| A physical trust example | Issuer materials for iShares Gold Trust | An illustration of verifying actual bullion exposure; not a product recommendation. |
| Employment definitions | BLS CES FAQ | Payroll coverage, job counts and exclusions. |
| Pine event timing | TradingView: bar states (paid link) | Historical versus developing-bar behavior and confirmed closes. |
Final Takeaway
After every commodity story, ask what is being measured, what you would actually own, how the cash flows change and what evidence could prove you wrong. A careful decision to defer an unclear investment is more useful than a confident forecast built on the wrong units or vehicle.
Risk Disclosure
This workbook is for education and independent research, not personalized investment, tax or legal advice. Commodities, derivatives, commodity-linked products and related equities can be volatile and can lose substantial value. Leveraged futures and certain other positions can produce losses beyond the initial deposit and require additional funding. Liquidity, gaps, counterparty risk, delivery obligations, changing margin requirements and product structure can materially affect outcomes. Hypothetical examples omit costs unless stated and are not actual trading results. The indicator does not establish profitability or simulate execution. Past performance does not guarantee future results; seek appropriately qualified advice for your circumstances.
This independent learning companion is not affiliated with, endorsed by, sponsored by or authorized by the book’s author, publisher, Amazon, TradingView or any exchange, regulator or issuer mentioned.