Yet behind all of that movement, the traders who stay consistent tend to follow a structured approach. They test ideas, assess risks, and look for evidence long before placing a live order. That’s ...

Every investor has a moment when a brilliant idea pops into their head and they’re suddenly convinced they’ve cracked the market’s secret code. But ideas are cheap, and markets are not, so the real ...

The United States will scale back certain drug-safety testing requirements on monkeys, federal regulators said Tuesday, marking the latest step by President Donald Trump's administration to limit the ...

With the rainy season at hand, farmers are growing increasingly anxious over the availability of fertiliser, an essential input for the 2025/26 farming season. At the heart of the crisis is over 200 ...

This project provides a Python-based backtesting framework for a forex trading strategy, specifically designed for the EUR/USD currency pair. The script simulates trading cycles based on historical ...

A businessman from Thane, Maharashtra was swindled out of Rs 4.11 crore by cyber fraudsters under a fake forex trading scheme. The accused include foreign nationals linked to an online trading company ...

A cutting-edge platform for developing and deploying quantized reinforcement learning agents to trade Forex binary options, leveraging high-frequency tick data and a custom backtesting infrastructure.

Any trader can build a strategy. The real challenge is proving that it works, not just once, but across different market environments, volatility conditions, and timeframes. That’s where backtesting ...

Among the most often used trading systems in the forex market, MetaTrader 4 (MT4) and MetaTrader 5 (MT5) provide traders with effective tools to carry out transactions. Launched in 2005, MT4's ...

The AUD/USD outlook suggests weak risk appetite as Trump’s tariffs drive fears of a US recession. Consequently, the risk-sensitive Australian dollar fell as traders preferred safer currencies like the ...

When backtesting a portfolio strategy, you have to decide how far back to look. Should you use all available data, stretching back decades? Or should you just look at the last few years? There are ...