Eight tracks, one foundation.
Index funds and ETFs, mutual funds, stocks, options, CFDs, metals, commodities and forex share the same basics.
Learn how
markets work.
Lessons built on official data and real events. Choose your depth, test one idea at a time, and see what the record shows, with every figure dated and sourced.
Runs on your computer · Lessons need no account
No investment advice and no trading.
INFLATION LESSONOfficial data
CPI-U · index, 1982–84 = 100305.109
JUN 2023Inflation falling12-month rate against a year earlier
12-month change+3.0%
BLS · CUUR0000SA0Same basket, later JunesRecorded, not a forecast
$100 of June 2020 prices$118.35
Prices against a year earlierHigher
BLS / CUUR0000SA0 Retrieved 8 Oct 2026
Inflation measures how fast prices rise, not whether they fall. In June 2023 the 12-month rate dropped to 3.0%, yet the same basket cost more than ever.
Source & method
Consumer Price Index for All Urban Consumers (CPI-U), U.S. city average, all items, not seasonally adjusted, from the U.S. Bureau of Labor Statistics public data API on 8 October 2026. The 12-month change compares each June with the June before; the basket scales $100 by the index against June 2020.
About the Consumer Price Index ↗Dashboard access
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01 / How it worksEvery lesson.
Every lesson.
A path back to evidence.
Four steps connect a dated observation to what you understand. A lesson explains a mechanism; it never tells you what to buy.
The lesson loopObserve → Explain → Experiment → Check
- 01
Observe
Start from a dated observation: an official release, a market level or a recorded event.
ProducesA sourced, dated value - 02
Explain
Read the mechanism at the depth you choose: foundations, practice or analysis.
ProducesAn explanation at your level - 03
Experiment
Change one assumption in a labelled model and watch the outcome move. Controls never alter recorded data.
ProducesA labelled what-if - 04
Check
Answer two application questions with different examples. A wrong answer points to the idea it depends on.
ProducesProgress saved in your browser
Real events, revealed in order.
Event studies hold back what happened until you choose to see it.
Your depth, per topic.
Knowing stocks does not skip the options basics, and you can change depth at any time.
02 / BoundariesKnow what
Know what
a lesson can tell you.
Lessons teach mechanisms and history. They do not recommend investments, place orders or predict prices.
- 01Current scope
Official data first
Public lessons use official releases such as BLS consumer prices. Licensed market data stays in the operator's own workspace.
- 02By design
Understanding, not profit
Checks score your reasoning, never a guessed direction or a return. Illustrative models are labelled as such.
- 03Incomplete
Strategy and scenario labs
Sourced strategy comparisons and future-scenario journeys are still being built. The Lab offers recorded replay and labelled scenarios today.
03 / How it's engineeredAgentic engineering.
Agentic engineering.
Explicit constraints.
AI agents work inside defined architecture and API boundaries. Runtime validation checks their changes; bounded retries keep failures visible.
Agentic AI systems operating under upfront constraints and runtime validation.
Explore the engineering harnessControl loop
- 01Define the boundariesArchitecture · interfaces · requirements
- 02Validate the changeTests · contract gates · fitness checks
- 03Resolve or escalateBounded retries · recorded decisions
Shape the lessons
Get in touch Let's compare notes.
Radu Pop, Founder & Engineer