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12 calculadoras interativas que cobrem tudo o que um curso de gestão de investimentos ensina. CAPM, Markowitz, DCF, precificação de títulos, Sharpe, Jensen — cada fórmula, ao vivo, com lógica por país e dados de exemplo prontos para carregar.
Quantifique o trade-off — retorno esperado, variância e como os ativos co-movem.
Calcule E(r), σ², σ, Sharpe, assimetria, curtose a partir de dados probabilísticos ou históricos.
Visualize como os ativos co-movem; quantifique o benefício da diversificação.
Separe o risco de uma ação em sistemático (impulsionado por β) vs idiossincrático.
Valuation de títulos e ações — as ferramentas centrais em toda revisão de alocação.
De pesos de dois ativos à otimização Markowitz multi-ativos.
Otimização média-variância Markowitz multi-ativos com carteira tangente.
Sliders para pesos e correlação; veja como σ se desloca.
Questionário de perfil de risco e depois alocação recomendada com backtest de 10 anos.
CAPM, SML, alpha — o cânone da teoria de precificação em equilíbrio.
Retornos ajustados ao risco e testes de eficiência de mercado.
Annotated tool sequences for self-study or classroom use. Each path links the Labs in pedagogical order with short context for each step.
The canonical Investment Management curriculum, taught through hands-on tools instead of dense textbook chapters. Risk and return, diversification, optimal portfolios, equilibrium pricing, and risk-adjusted performance evaluation — in one connected journey.
Bond pricing, yield to maturity, modified duration, convexity — and how to use them to size interest-rate risk. The practitioner pieces that come up daily on a rates desk.
Five different ways to value a stock, when to use each, and how to triangulate them into a defensible price target. Practical workflow used at every long-only fund.
Test the Efficient Market Hypothesis directly. Run autocorrelation, runs, and variance-ratio tests on real data. Decompose risk through a behavioral lens: which anomalies are real signal, and which are just survivorship?
Heavy-math version of Investment Management 101. Same tools, but you're building optimizers, sizing factor bets, and stress-testing the Markowitz framework against real-world frictions (estimation error, regime change, transaction costs).
We're not Bloomberg. They have things we don't — real-time depth, fixed-income analytics that go four levels deeper, an institution-grade execution stack. We win on cost, country flexibility, mobile, and open data. Pick the right tool for the job.
| Capability | Bloomberg Terminal $28K / yr / seat | Portfolio Visualizer Free · $35–$75/mo | Blockcircle Labs Free · always |
|---|---|---|---|
| Cost | $28,000/yr | Free tier limited | Free |
| Account required | Subscription | Account for full features | None |
| Real-time market depth (Level 2) | Delayed only | ||
| Fixed-income analytics (curves, OAS) | Industry leader | DCF, YTM, duration | |
| CAPM live β regression | |||
| Markowitz Efficient Frontier | |||
| Asset Allocation Wizard | |||
| Country-flexible defaults (17 markets) | US-centric | 17 countries | |
| Indonesian rates / IDX coverage | |||
| Mobile-friendly UI | Desktop terminal | Responsive | |
| Open public data sources | |||
| URL-based shareable state | |||
| Citation-ready output for academia |
Bloomberg Terminal and Portfolio Visualizer are independent products. Capability summaries are based on publicly published feature lists — consult their documentation for authoritative sources.
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