Abstract: The growing complexity and dynamism of modern computational environments demand more adaptive and intelligent methodologies for strategic decision-making, especially in multi-agent systems.

Malicious packages on the Node Package Manager (npm) and the Python Package Index (PyPI) delivered stealer malware to ...

16 AI trading tools transform raw market data into actionable strategies, from Claude-generated Pine Script to real-time news ...

The best AI trading bots depend on your strategy, how hands-on you want to be, and your budget. As automated trading goes ...

Learn how One Cancels the Other OCO orders help traders manage risk, automate exits, and maintain discipline across stocks, futures and crypto.

Learn why traders break their own rules, the common triggers behind impulsive decisions, and how systems can improve ...

In 2026, trading is no longer just about charts, instincts, or financial experience. The real competition in the market has ...

India’s growing job insecurity – and the rise of AI – push more professionals to tradeskills: Bombay Trading School.

Seven AI trading tools that actually read charts, automate strategies, and help you build profitable systems for crypto and ...

Candlestick patterns alone cannot guarantee profitable trading, the article argues, citing academic research and SEBI data showing most retail traders lose money. It advocates systematic backtesting, ...

This project implements a complete machine learning pipeline for Bitcoin price prediction and trading strategy development. The system uses 55 engineered features (44 technical indicators + 11 ...

Full-stack intraday options trading research platform for NIFTY — tick-level replay backtest engine, XGBoost + RL ML models, dynamic risk management, and a live retro terminal dashboard.