Industry WIKI
Digital assets and currencies
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Algorithmic trading
Algorithmic trading is a method of executing orders using automated pre-programmed trading instructions accounting for variables such as time, price, and volume. This type of trading attempts to leverage the speed and computational resources of computers relative to human traders. In the twenty-first century, algorithmic trading has been gaining traction with both retail and institutiona
FinanceCommittee on Capital Markets Regulation
The Committee on Capital Markets Regulation is an independent and nonpartisan 501(c)(3) research organization financed by contributions from individuals, foundations, and corporations.
FinanceHigh-frequency trading
High-frequency trading (HFT) is a type of algorithmic automated trading system in finance characterized by high speeds, high turnover rates, and high order-to-trade ratios that leverages high-frequency financial data and electronic trading tools. While there is no single definition of HFT, among its key attributes are highly sophisticated algorithms, co-location, and very short-term inve
FinanceInternational Financial Services Centre, Dublin
The International Financial Services Centre (IFSC; Irish: Lárionad Seirbhísí Airgeadais Idirnáisiúnta) is an area of central Dublin and part of the CBD established in the 1980s as an urban regeneration area and special economic zone (SEZ) on the derelict state-owned former port authority lands of the reclaimed North Wall and George's Dock areas of the Dublin Docklands. The term has beco
FinancePayment for order flow
Payment for order flow (PFOF) is the compensation that a stockbroker receives from a market maker in exchange for the broker routing its clients' trades to that market maker. The market maker profits from the spread (the difference between purchase price and sale price) and rebates a portion of this profit to the routing broker as PFOF. Some of this benefit may be passed on to the retail
Trading basicsQuantitative fund
A quantitative fund is an investment fund that relies on systematic, data-driven methods, such as mathematical models, statistical techniques, AI, and machine learning, to make investment decisions, rather than fundamental human analysis. These funds are often referred to as systematic funds, and many employ factor investing strategies such as value and momentum, which are widely studied