One of the common methods of testing algorithmic trading is backtesting. Testing algorithmic trading requires continuous data flow such as LTP, LTQ and market depth. Here a simulator is used to ...

AppLabs – As trading has become electronic, trading applications need to be reliable and effective; emphasizing more on the speed of delivery with peaks and troughs in demand. And the answer to these ...

A test-first EA playbook for 2026 works because it treats scalable trading as a sequence: backtests that respect margin and liquidation mechanics, robustness checks that reduce overfitting risk, and a ...

Futures trading used to be reserved for institutions and professional traders; after all, it's known for being fast-paced, complicated and hard to access. But times are changing, and that's no longer ...

New to day trading? Master the basics with 10 proven tips—choosing the right platform, managing risk, controlling emotions, ...

Leveraged S&P 500 funds outperform during bull markets and recoveries, underperform during bear markets. Investing in leveraged S&P 500 funds, but only after a downturn, could result in market-beating ...

IIT Madras graduate Raghav Talwar is tackling a major pain point in quantitative trading: the lengthy process of testing new datasets and strategies. With most small and mid-sized trading firms ...

AI trading is the use of artificial intelligence (AI) in the trading process to analyze market data, get investment ideas, and build portfolios. The use of AI in trading has revolutionized the ...

1024EX is building infrastructure for prediction market onchain trading, focusing on transparent execution, verifiable workflows, and market behavior validation. The 1024 Testnet Beta, launched on ...