Abstract: Cryptocurrencies have a high volatility but also provide a high potential of profit. This paper discusses the use of deep reinforcement learning in bitcoin trading aiming to optimize profit.

A ring of elite corporate lawyers were accused of illegally trading on inside info about blockbuster deals over a decade, using a bizarre code that referred to one merger as a “rabbi” as they raked in ...

You’re tired of watching charts. You’ve followed Telegram signal groups that were wrong half the time, tried manual trading during lunch breaks, and still ended up missing the moves that mattered. You ...

The Kalshi Advanced Quantitative Trading Bot is a professional-grade automated trading system designed specifically for event-based markets on the Kalshi platform. This bot leverages advanced ...

trading_bot/ ├── bot/ │ ├── __init__.py # Package init │ ├── client.py # Binance REST API wrapper (direct HTTP, HMAC signing) │ ├── orders.py # Order placement logic & response formatting │ ├── ...

The U.S. Senate unanimously passed a rule barring senators from trading on prediction markets effective immediately. The move came amid concern about insider trading on prediction market platforms ...

Abstract: Underground parking garages present a challenging sensing and navigation setting due to the absence of Global Navigation Satellite System (GNSS) signals, limited illumination, and repetitive ...

It’s been almost three years since Silicon Valley started aggressively pushing large language model-based chatbots like ChatGPT as the supposedly inevitable future of everything, and there’s no group ...

Markets no longer wait for traders to sit in front of a desktop screen. Crypto moves through the night, forex reacts to global headlines before many users wake up, and stock traders often miss key ...