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Algorithmic trading is a method of executing orders using automated pre-programmed trading instructions accounting for variables such as time, price, and volume. [1] This type of trading attempts to leverage the speed and computational resources of computers relative to human traders.
QuantConnect is an open-source, cloud-based algorithmic trading platform for equities, FX, futures, options, derivatives and cryptocurrencies.QuantConnect serves over 100,000 quants from over 170 countries, with customers including hedge funds and brokerages, as well as individuals such as engineers, mathematicians, scientists, quants, students, traders, and programmers.
Around 2005, copy trading and mirror trading emerged as forms of automated algorithmic trading. These systems allowed traders to share their trading histories and strategies, which other traders could replicate in their accounts. One of the first companies to offer an auto-trading platform was Tradency in 2005 with its "Mirror Trader" software.
The effects of algorithmic and high-frequency trading are the subject of ongoing research. High frequency trading causes regulatory concerns as a contributor to market fragility. [ 56 ] Regulators claim these practices contributed to volatility in the May 6, 2010, Flash Crash [ 62 ] and find that risk controls are much less stringent for faster ...
Systematic trading (also known as mechanical trading) is a way of defining trade goals, risk controls and rules that can make investment and trading decisions in a methodical way. [ 1 ] Systematic trading includes both manual trading of systems, and full or partial automation using computers.
FX DMA infrastructures, provided by independent FX agency desks or exchanges, consist of a front-end, API or FIX trading interfaces that disseminate order and available quantity data from all participants and enables buy-side traders, both institutions in the interbank market and individuals trading retail forex in a low latency environment.
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