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An Investor’s Guide to Algorithmic Trading
These days, many aspects of everyone’s lives are being overtaken by algorithms — from online searches to social media accounts and even investments. You may hear terms thrown around — for example, ...
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Quantitative trading: what is it and examples
Quantitative trading is an approach that is normally associated with institutional investors handling huge sums of money, but technological advances have made it easier for amateur and individual ...
Algorithmic trading is a rule-based system where humans set the parameters in advance. It merges automation with human ...
The phrase "trading" is used when you and another one agree to exchange what you own for something they possess. A blue jacket, for example, may be traded with someone who has a coat of another hue if ...
Algorithmic, algo or automated trading is a practice that involves a computer program to execute trades. The program uses complex mathematical models and pre-defined rules (i.e., algorithms). When ...
The Financial Conduct Authority (FCA) is now weighing in on all things regarding algorithmic trading. On its website, the European regulator has published a new report that summarizes its viewpoint on ...
The first type of algo trading strategy that we'll talk about is an arbitrage strategy. Arbitrage strategies use price differentials to generate risk free profit. Although these price differentials ...
Algorithmic (algo) trading is a trading strategy that uses computer programs with predefined criteria to automatically execute trades. Algorithmic (algo) trading is a trading strategy that uses ...
This is the third in a series of blog posts on MiFID II (Markets in Financial Instruments Directive II). If you missed the earlier posts, seeMiFID II: How Did We Get Here and What Does it ...
Agency broker Bloomberg Tradebook has released a new equity portfolio trading algorithm which it claims is the first to help traders automate portfolio trades across all regions while remaining dollar ...
As hedge funds increasingly turn to machine learning techniques in their trading strategies, regulators and clients are having to come to terms with money being managed by black box algorithms, so who ...
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