A step-by-step financial system that helps working people gain control, stability, and long-term money growth.
When Renaissance Technologies Tanked Their FundIn this excerpt, tribulations rocked the premier machine learning firm. It was a sunny day on Wall Street, and the machine was learning. In nearby Long Island, a small group of mathematicians led by an erstwhile Stony Brook department chair implemented what would be wildly successful learning algorithms on market data. Automation removed the slow reaction times of human input. Yet in terms of broader impact, Renaissance Technologies' methods fell short. Firms like Citadel torpedoed market liquidity benefits via algorithmic front-running. When Renaissance launched their value fund, the Institutional Equities Fund, it failed to deliver on their expectation. Shortly after creation, the fund dropped 8.7% in the single month of August 2007 and worse, lagged the market by 10%.
Turn AI into leverage, engineer your first $29 sale, and prove your business is real - in days, not months.
Worksheets and practical tools to apply the Financial Operating System in real life.
¿Quieres empezar a invertir pero no sabes ni por dónde empezar? Esta guía sin tecnicismos te explica lo básico —claro, al grano y sin promesas vacías— para que puedas dar tu primer paso con confianza.
What if the real test of government isn't how much it spends, but what it leaves behind? The Sovereign Prosperity Framework challenges conventional political debate and explores how better decisions, stronger national capabilities and long-term stewardship can create lasting prosperity.
Quantitative finance in Python: a hands-on, interactive look at the QuantLib library through the use of Jupyter notebooks as working examples.
Quantitative finance in C++: an inside look at the architecture of the QuantLib library.
Blockchain in 2025 is no longer about hype. It’s about execution, regulation, and real business value. This report explains where blockchain is delivering today and how leaders should act next.
The wrong trading platform can cost you before you place your first trade. Zero commission doesn't mean zero cost. An advertised API doesn't mean your account can use it. Discover how to compare brokers, exchanges, forex, futures, crypto, trading software, market data, and true execution costs in this comprehensive 330-page guide—and build a trading setup that works on your terms.
A book that compiles into the software it describes.Learn double-entry accounting by building a complete ledger in C and SQLite, using literate programming. From journal entries and accounting invariants to an AI-powered bookkeeper through MCP, every component is explained and implemented.
A rigorous framework for leveraged prediction markets: payoff geometry, microstructure, finality, credit, and protocol design, with empirical studies of Polymarket and Kalshi.
AI can analyze a thousand charts in seconds. So why can't it reliably make you rich? Discover the uncomfortable truth about AI trading, the mistakes most people overlook, and what these powerful tools can actually do for you.
A 29-page working book on one calculation: UAE accounting income to Corporate Tax Payable, with the article cited on every line. Seven worked cases, each recalculated cell by cell through an independent formula engine rather than asserted. PDF and EPUB.
A structured, practical approach to financial modeling – from financial statements and business drivers to integrated forecasting, model validation, scenario analysis, and valuation. Illustrative examples throughout the handbook help translate financial concepts and modeling methodology into practical application.