Build an investment system step by step
Build foundational understanding first, then move into portfolio construction, valuation, macro environment and risk management. You can learn sequentially or jump directly to the topic you need most right now.
Compounding and the time value of money
Understand how rate of return, contribution cadence and time together shape the wealth curve.
Read section ↗02 · BasicsETF and index investing
Build a selection framework considering the tracked index, expense ratio, tracking error, and diversification.
Read section ↗03 · PortfolioAsset allocation and rebalancing
Manage volatility by target weights, returning risk to the plan rather than the news narrative.
Read section ↗04 · ValuationFundamentals and margin of safety
Decompose P/E, free cash flow and valuation ranges to distinguish price from value.
Read section ↗05 · Risk managementVolatility, maximum drawdown and risk
Use quantitative metrics to understand the difference between “you can afford it” and “it looks stable.”
Read section ↗06 · Hands-onRetirement cash flow and withdrawals
Translate asset balances into sustainable living cash flows and scenario planning.
Read section ↗07 · AdvancedBehavioral finance and decision discipline
Identify biases and build reproducible, repeatable investment processes.
Read section ↗08 · Hands-onFIRE and withdrawal rules
Understand the math of financial freedom — from target spending and savings rate to withdrawal flexibility.
Read section ↗09 · Fixed incomeBonds, yields and duration
Understand how interest rate changes affect bond prices and portfolio stability.
Read section ↗10 · MacroInflation and hedging assets
Think of cash, gold, real estate and productive assets in terms of real returns.
Read section ↗11 · Advancedmacro observation
Map inflation, interest rates, the business cycle and market pricing on the same map.
Read section ↗12 · AdvancedUnderstand the three financial statements
Cross‑validate company quality across profit & loss, balance sheet and cash flow.
Read section ↗13 · MethodsBoundaries of technical indicators
Understand signals, out‑of‑sample validation and avoid mistaking patterns for causation.
Read section ↗14 · MethodsBacktesting & overfitting
Use a research process to reduce data mining, survivorship bias and backtest illusions.
Read section ↗15 · PracticeCross‑border investing and tax concepts
Identify sources of friction from account structure, currency, dividends, and transaction costs.
Read section ↗16 · PracticePitfalls of high‑dividend ETFs ETF
Differentiate cash dividends, total return, industry concentration and return of capital.
Read section ↗17 · Risk ManagementPosition sizing and risk budgeting
Define acceptable loss first, then decide entry size and concentration.
Read section ↗18 · ProcessInvestment research checklist
Write hypotheses, evidence, valuation, risks and trigger conditions into a process.
Read section ↗19 · PracticeBrokerage and trading frictions
Costs, FX, liquidity and operational risk are part of returns.
Read section ↗20 · SummaryCreate a personal investment policy
Integrate objectives, constraints, allocations and rebalancing rules into an IPS.
Read section ↗21 · ResearchQuant research workflow
From 5MA adjustments and volatility Z‑Score to out‑of‑sample backtests, build a reproducible evidence chain. Z-Score
Read section ↗22 · DerivativesPair trading with Taiwan index futures / 富台期
Separate contract unit, basis, term structure, hedge lots and roll risk for study.
Read section ↗Learn by doing the math — make the framework operational.
All tools compute locally in the browser; input data is not uploaded. Results are educational demonstrations and do not constitute investment, tax, or retirement planning advice.
Compound roll calculator
Compute future value →Allocation and Rebalancing
Check weight deviations →Margin of safety valuation
Reverse‑engineer fair price →Historical VaR estimate
Estimate single‑day risk →Retirement cash‑flow simulation
Check asset runway →DCF valuation scenario
Decompose enterprise value →Position size calculation
Reverse max position →emergency fund
Estimate cash buffer →Asset allocation stress test
See deviation amount →Bond duration sensitivity
Estimate interest‑rate impact →Savings rate and target path
Estimate time‑to‑target →Volatility Z‑Score Z-Score
Analyze volatility positioning →Cash‑futures spread for Taiwan index futures / 富台期
Decompose Basis and roll →Kelly risk budget
Calculate Kelly score →Risk‑return and maximum drawdown
Analyze Sharpe, MDD →Trading expectancy
Include fees and slippage →Practical plan and position check
Reverse max position →Trading journal analysis
Analyze win rate & drawdown →Pre‑trade rules check
Check process completeness →Write research hypotheses as a reproducible process.
Quant tools won't create market moves for you; they require you to provide data scope, assumptions and failure conditions, then fully expose formulas and constraints.
Practical trading: from rules to post‑trade review
Category 13 links trading plan, order execution, position risk controls, strategy validation, position management and trade journal into an actionable process; it does not provide real‑time signals nor claim to predict markets.
Connect learning to a verifiable framework.
The course does not encourage predicting the market with a single indicator; instead it practices documenting objectives, time horizon, risk tolerance and evidence clearly. The external resources below are recommended further reading.
Not for forecasting markets, but for managing decisions.
Write down assumptions before computing sensitivities; define the maximum acceptable loss first, then decide position size. After each tool calculation, save the results as your own investment checklist.