#finance

SoftBank's 46th annual shareholder meeting, led by Masayoshi Son, has drawn mockery for its unconventional presentation slides, with Financial Times' Bryce Elder comparing the spectacle to an "Untethered Goose Game."

Artificial intelligence is already dominating stock trading, and it is now beginning to transform the much larger bond market. The shift promises greater efficiency and lower costs, but also raises concerns about liquidity and systemic risk during periods of market stress.

According to a financial analysis, Donald Trump has earned over $1 billion from cryptocurrency-related ventures in the past year, largely through investments in digital assets and crypto businesses tied to his brand.

Thinking Machines Data Science team developed a machine learning model to automate expert judgment in finance by fine-tuning Llama 3 8B, achieving 80% agreement with senior analysts. The model uses probability-based reasoning instead of direct predictions, and passes critical industry disqualifiers, making it ready for initial deployment alongside a human-in-the-loop system.

The article argues that the ongoing stock market rally is fueled by a "large deficit model," where persistent government deficits inject liquidity into the economy, boosting asset prices despite underlying economic vulnerabilities.

The impending transfer of trillions of dollars from ageing baby boomers to younger generations is reshaping Wall Street, as firms scramble to build relationships with heirs who may move assets to lower-cost providers or different investment strategies. This generational shift threatens traditional wealth management models and fee structures.

New EU regulations give financial consumers the legal right to request human intervention when dealing with automated chatbot systems, ensuring they can opt out of fully digital customer service interactions.

Thinking Machines Data Science has developed a method to replicate expert judgment in financial tasks using machine learning, enabling automated credit risk assessment and transaction monitoring while maintaining accuracy and consistency.

The paper demonstrates that Large Language Model-driven trading systems can be manipulated by inserting specific words into news headlines, causing the model to alter its trading decisions. The authors propose a detection mechanism to identify such adversarial modifications.

Thinking Machines developed models to replicate expert judgment in financial tasks by training on labeled data from domain specialists. Their approach aims to automate complex financial decisions while maintaining the accuracy and nuance of human expertise.

Carson Block warns that the current market environment, fueled by excessive speculation, debt, and passive investing, could lead to a downturn more severe than the 2008 global financial crisis. He argues that structural vulnerabilities in the financial system have grown, making a sharp correction increasingly likely.

A Bloomberg opinion piece examines how the Libor interest-rate benchmark was manipulated, drawing parallels to other manipulated benchmarks like the "Egg Libor" and highlighting the broader implications for financial markets and regulatory oversight.

Donald Trump earned more than $1 billion last year, marking a significant financial return following his return to the presidency.

Medallia's financial struggles highlight risks in the private credit market, as the software company's debt load from a buyout has led to distress, raising questions about the resilience of private lending practices.

Former President Donald Trump reported more than $1.4 billion in income from cryptocurrency ventures in a recent financial disclosure, according to reports. The figure highlights the significant financial returns from his involvement in digital asset projects.

A new daily trading challenge game called KandleQuiz has launched, combining Wordle-style gameplay with financial markets. Players try to identify stocks, ETFs, or crypto using daily candlestick charts and price data, receiving a score based on accuracy and speed.

The United States added 1,200 new millionaires per day last year, according to a report. The surge in wealth was driven by strong stock market performance and rising home values.

KandleQuiz is a daily trading challenge website styled after Wordle, where users guess market movements or identify financial charts to test their trading knowledge.

Credit cards make money primarily through interchange fees (1-3% of each transaction paid by merchants) and interest charges on revolving balances. Additional revenue comes from annual fees, late fees, and foreign transaction fees.

A Bitcoin proponent argues that selling Bitcoin because it is gaining mainstream legitimacy contradicts the original thesis that it would evolve from a fringe experiment into core financial infrastructure, and that this integration is the payoff, not a betrayal.

The article investigates the growing market for wildfire catastrophe bonds and insurance-linked securities, where investors bet on wildfire events. While these financial instruments can provide funding for disaster recovery, critics argue they may disincentivize prevention efforts and shift costs to the public, raising ethical questions about profiting from climate-driven disasters.

The article discusses a crypto product designed to mimic an annuity, offering regular payouts to holders instead of typical volatile price swings. It explores how this approach aims to attract risk-averse investors seeking predictable income streams from digital assets, blending traditional finance concepts with blockchain technology.

The article argues that neither Bitcoin nor stablecoins are truly stable assets. It criticizes the volatility of Bitcoin as a store of value and questions the reliability of stablecoins, suggesting they are not as secure or stable as their proponents claim.

A free earnings calendar for US stocks has been launched, providing users with a schedule of company earnings reports.

Anthony Pompliano lists several Twitter accounts he recommends following for macro and market information, including Ryan Detrick, Charlie Bilello, Mike Zaccardi, Peter Mallouk, OddStats, DrJStrategy, and The Prophet.

A financial expert warns that the current global economic instability could surpass the 2008 financial crisis, citing much higher levels of debt, weaker growth, and limited policy tools available to governments and central banks to respond effectively.

A Python-based micro-temporal transaction velocity baseline filter has been built to analyze time-series data for detecting transaction velocity patterns and anomalies.

Regent is a differentiable graph-based quantitative trading pipeline that combines a VQ-VAE (Vector Quantized Variational Autoencoder) and Graph Neural Networks (GNNs) to process and model financial market data for trading decisions.

Finqos is a stock research terminal designed to retain user context and preferences across sessions, aiming to streamline the analysis workflow for investors by remembering previous searches and settings.

The article argues that significant financial activity has moved off traditional bank balance sheets into private credit, shadow banking, and unregulated markets. This shift complicates risk assessment and regulatory oversight, potentially increasing systemic vulnerabilities in the global financial system.