trading

BinanceUS promotes instant account funding using credit or debit cards for quick cryptocurrency trading.

A wallet address spent $2.9K on Robinhood chain to buy $AI token, achieving a 183x return and earning $531.7K. Another new wallet made $62.7K in 17 hours.

TrustWallet announces a significant update with enhanced trading features such as 5x faster price and orderbook processing, advanced charts, and improved UI, scheduled for release next week.

Binance Thailand shares questions about trading styles and warns about the high risk of investing in cryptocurrencies.

The article discusses a research paper where LLMs used to write and review a trading feature missed a future-data bug, highlighting the need for structural redesigns in agent systems to prevent such issues.

During intense volatility in the cryptocurrency market, a user shared the performance differences between Binance and OKX applications, noting that Binance's system recovered more quickly under high traffic, while OKX remained relatively normal.

The paper explains how removing market beta and factor exposure reveals true trading signals, emphasizing rigorous stress testing to avoid overfitting and false confidence in backtests.

Grok AI has learned market strategies, including two phases and a three-step approach, involving economic concepts such as Federal Reserve policies, market volatility, and asset performance.

Binance introduces Agent OS, a new platform that integrates AI agents with market intelligence, trading, and payment capabilities to automate cryptocurrency trading.

Binance has launched Agent OS, a platform enabling AI agents to analyze markets and execute cryptocurrency trades on users' behalf, with built-in controls for security and permission management.

The author built PortfolioLab, an AI agent pipeline for trading that stages models through backtesting, paper trading, and read-only API execution to prevent premature exposure to real money. They are seeking feedback on trust patterns in AI agent architectures for high-stakes applications.

CME Group is launching futures contracts tied to AI computing power, allowing companies to trade and hedge GPU rental costs based on Silicon Data indexes.

A new open-source Python framework called TradingAgents has been released for multi-agent LLM trading, and it's available for free.

A tweet promotes using DG3 Terminal to identify betting edges on Polymarket for a LaLiga football match, specifically Alavés Over 0.5 against Getafe.

OpenTrade is an open-source trading harness designed for AI models such as Claude Code and Codex.

Bloomberg data shows 14 of the 20 most profitable Polymarket wallets are AI bots, with over 100,000 humans losing at least $1,000 since January last year. The article argues that AI agents have taken over prediction markets, leaving retail traders at a structural disadvantage.

A user shares a public tracker of the most profitable Polymarket sports traders, whose combined PnL exceeds $52M, allowing others to follow their trades in real time.

A trader placed a $5,000 bet on the Fed keeping rates unchanged in September, illustrating how platforms like Kalshi allow trading on the probability of economic events rather than just the outcomes.

A trader made $58,370 in a week trading Bitcoin Up or Down options, with a systematic strategy on entry points and position sizing.

zipline-reloaded is a continuation of the Zipline backtesting framework maintained by Stefan Jansen after Quantopian shut down, supporting Python 3.11+ and pandas 2.0+, retaining the event-driven architecture and Pipeline API, suitable for factor-based stock selection and machine learning strategy backtesting.