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The guidelines that govern automated trading environments such as algorithms, domestic and international legal frameworks, and the rules for trading exchanges are all adhere to. In the US, the SEC, SEBI in India, and MiFID II in Europe make sure that all markets are engaging in any trading activity that is fair and transparent. These […]
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Using satellite imagery in quantitative trading has recently developed as a groundbreaking practice that targeting the impact of this kind of trading. Traders are able to have an unmatched information advantage when it comes to predicting the movement of the markets as well as the price movement of stocks. They also have the resources to […]
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Feature selection is the process of identifying the most important variables for model training in machine learning, be it for feature engineering or model evaluation and provides an opportunity to select and discard features that are unimportant or repetitive. There’s a strong need for feature selection when working with trading models, because there are usually […]
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High-Frequency Trading (HFT) acts in a space where even milliseconds are very important. Competing on who can get a trade done the fastest comes down to latency – the delay between a trading signal and the order being inched out. As HFT models turn out to be more and more competitive, latency management becomes significant. […]
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After being introduced to the world by Harry Markowitz in 1952, his Modern Portfolio Theory has been a crucial tool in the evolution of investment management ever since. Although MPT was focused mainly on risk minimization while maximizing returns on a portfolio, it is also helpful in algorithmic trading. When algorithmic systems are made to […]
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The Relative Strength Index (RSI) is one of the popular momentum oscillators that captures the rate of change and the amplitude of price changes of a financial instrument. RSI is a noteworthy tool in trading developed by J. Welles Wilder Jr. as it aids the traders in identifying the overbought or oversold conditions and subsequently […]
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The phenomenon of lost information is something that happens quite regularly especially in financial databases. It is usually due to factors such as incomplete market feeds, holidays, or discrepancies with the data providers. Missing data for traders and analysts is a critical aspect that needs to be resolved so that they can formulate sound algorithm […]
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Algorithmic Trading is a method where trading is done using algorithms as the word ‘algo’ indicates. On the other hand, R, a prominent programming language which has fantastic capabilities in terms of statistics and data visualization, has been gaining traction among the algorithmic trading fraternity due to its large number of packages and flexibility to […]
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As it seems, cut-throat sharks in the financial industry require high level trading tools that are embeddable straight into the algorithms. And, cloud based Quantitative Trading platforms tend to be the go-to solutions for such traders who want to get more value in their algorithms. One such platform, QuantConnect, was launched back in 2011 and […]
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Natural Language Processing (NLP) permits traders to make sense of huge piles of unstructured data in a more effective manner than ever before. NLP has allowed for opinion mining to be applied across the board with a lot of benefits in recognizing news, social media, or any other text that spurs commentary. This capability enables […]