TickerDB is a platform that provides pre-computed market context data designed for AI agents, offering structured information to help automate trading and analysis workflows.
#finance
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Lattica Finance introduces a solution to unlock idle liquidity in prediction markets by tokenizing claimable payouts into synthetic tokens (sUSDC) that can be deployed across DeFi protocols, enabling capital efficiency without requiring users to exit positions.
Andrew is hosting a private AMA with Anthony Pompliano and TEXASOL61 to discuss traditional finance markets, Bitcoin, and financial technology innovation. The event has limited spots available via Zoom registration.
A mobile app for trading shares of Trump Media & Technology Group is set to launch Thursday, allowing retail investors who hold DJT shares on certain platforms to buy and sell the stock through the app, which is designed to cater to supporters of former President Donald Trump.
A website called "Epstein Index" tracks the stock performance of companies linked to Jeffrey Epstein, showing a cumulative return of 2,563% since his 2008 conviction, compared to the S&P 500's 609% gain over the same period.
The website EdgarAnalyst.com promotes an AI agent designed to automate financial analysis tasks typically performed by human analysts earning around $100,000 annually, claiming to replace or significantly reduce the need for finance professionals in such roles.
The AI boom is driving significant demand for data-center and infrastructure loans, pushing private credit firms to sell loans among themselves more frequently — a practice once considered taboo — as they seek to manage risk and free up capital for new deals.
The article argues that most accounting software is designed for professional accountants, not for small business owners or non-experts. It highlights the gap between complex tools built around accounting rules and the simpler needs of people who just want to manage their finances without learning accounting jargon.
Hedge funds are increasingly adopting artificial intelligence strategies, known as "AImaxxing," to enhance trading and investment decisions, as the technology promises to transform the industry by improving efficiency and returns.
The author proposes a "Baby Fund"—a government-managed investment account created for every child at birth, seeded with a small initial deposit and funded by future tax credits from the child's lifetime earnings, designed to reduce wealth inequality without increasing national debt.
Prediction markets like Polymarket have gained traction as ordinary traders outperform traditional Wall Street analysts in forecasting political and financial outcomes. The article examines how these decentralized platforms allow average users to make accurate predictions by leveraging collective intelligence and real-time information.
The article presents a numerical breakdown of the U.S. money supply, detailing M0, M1, M2, and other monetary aggregates as of recent data. It examines total dollars in circulation, bank reserves, and broader money measures, offering a snapshot of the current monetary base and broader money stock figures.
Dutch bank ING is using an experimental AI approach called "vibe coding" to develop new trading systems, where the AI writes code based on natural-language instructions from traders. The system allows non-programmers to build and modify trading algorithms without traditional software development, potentially speeding up the creation of financial tools.
Mohamed El-Erian's weekly review covers global economic trends and market developments, highlighting key risks, central bank policy shifts, and financial stability concerns. The analysis examines how inflation, geopolitical tensions, and diverging growth trajectories among major economies are shaping investment outlooks and market behavior.
Neo-Capital is a local-first AI bookkeeping application that runs entirely on the user's own machine, offering privacy and offline capability for financial data management.
Hedge funds are struggling to maintain their performance advantage as low-cost ETFs grow in popularity and accessibility. The article argues that the traditional edge of hedge funds—such as exclusive strategies and high fees—is eroding in a market increasingly dominated by passive, transparent investment vehicles.
The page introduces a market making sandbox simulation where users can experiment with strategies and observe how market makers profit from bid-ask spreads. It illustrates the concept that market makers can be consistently profitable by capturing small price differences on each trade.
Wall Street banks are paying AI trainers up to $25,000 a day to help engineers and traders adopt agentic AI tools. These specialists, often from top tech firms, provide hands-on coaching to shift financial institutions toward autonomous AI agents for trading, research, and operations.
Treasury is a financial tool that lets users ask natural language questions about their money, providing AI-powered insights and analysis of personal finances.
A quote attributed to Henry Ford suggests that public ignorance of the banking and monetary system prevents a revolution, implying that widespread understanding would lead to immediate upheaval.
Anthony Pompliano claims that @cfosilvia is the fastest growing finance product for multi-millionaires. He and @shaincodes break down the product, its technology, FAQs, and tips for maximizing its use, with a link to try it at cfosilvia.com.
The article argues that Western AI agents will dominate global commerce and finance due to their superior handling of complex transactions and data, while Chinese AI excels in government-led applications and societal control. This divergence creates an existential crisis for other nations struggling to keep pace in the AI race.
The article examines instances of financial engineering in the biotechnology sector, exploring how companies use complex financial strategies to manage risks, raise capital, and influence stock performance. It highlights specific cases where such tactics have impacted company valuations and investor outcomes.
Money Me is a finance app that calculates and displays your actual spendable balance by accounting for upcoming bills, savings goals, and recurring expenses, helping users avoid overspending.
The website "Wealth, Shown to Scale" visualizes and compares vast amounts of wealth, illustrating the scale of fortunes of the ultra-rich alongside everyday incomes and national budgets.
A user named Salvatore Norge claims that the AI tool Silvia (cfosilvia.com) identified a critical financial detail overlooked by multiple accountants and professionals for years, describing it as a major breakthrough for his independent investing.
The article reviews *The Art of Money Getting* by P.T. Barnum, highlighting its timeless financial advice on earning, saving, and investing through discipline and integrity. Kevin Kelly endorses the book as a concise, practical guide on personal finance and wealth-building principles.
The article discusses how investors can profit from the impending contraction in higher education, as demographic shifts and rising costs force many smaller colleges to close or merge. It suggests strategies such as shorting for-profit colleges and investing in companies that provide cost-saving technologies and services to the sector.
Anthony Pompliano claims that @cfosilvia is the fastest growing finance product for multi-millionaires. He and @shaincodes break down the product, its underlying technology, FAQs, and how users can make the most of Silvia.
"Capital and the Debt Trap" is a 2011 book by Claudia Sepúlveda that analyzes how financial capital creates debt traps for developing countries, arguing that neoliberal policies and unequal power relations in global finance perpetuate cycles of indebtedness and economic dependency.