Reporter: SHEN Ziwei With the increasing complexity and globalization of financial markets, risk management has become an ...

Firms need to have sufficient pre-trade risk controls and checks in place to monitor and prevent algorithmic errors as well as regular post-trade monitoring, to identify and potentially prevent market ...

while limiting the risk on their part. Today, algorithmic trading accounts for approximately 20 percent of all institutional foreign exchange trading volume and half of all equity trading volume. By ...

It is estimated that 50 percent of stock trading volume in the U.S. is currently being driven by computer-backed high frequency trading. Also known as algo or algortihmic trading.

Last month, the Securities and Exchange Board of India (SEBI) proposed significant changes to its framework governing algo ... of risk-return metrics inter alia for algo trading.

Participants will learn how to build a trade simulator to analyse model and strategy risk, while interactive sessions will delve into the key principles of algorithmic trading strategies, including ...

While it is difficult to put a precise figure on the percentage of algorithmic ... risk factors, and investment opportunities. It’s even possible to create your own crypto trading bot using ...

Buy-side firms ensure they are achieving “best execution” using algorithmic trading strategies by constantly reviewing their activity through transaction cost analysis (TCA), strategy comparison, and ...

The more complex a trading system, greater the risk As much as Algorithmic-based programmed trading can be a boon, in terms of increasing the probability of greater profits, the collateral damage ...

The new guidelines, outlined in Sebi’s circular issued on Tuesday, will require stockbrokers, exchanges, and algorithmic trading providers to implement stricter risk management measures.