Algorithmic trading refers to using computer programs written by quantitative traders in order to place trades. Such programs can often be extremely complex. Investors and advisors have access to numerous algorithmic trading strategies designed to maximize long-term returns while others focus on short-term gains. Market Making Market making is a trading strategy used by high-volume traders and investors in the …
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Technical analysis is a trading strategy that uses charts and indicators to identify profitable trade opportunities. It aims to interpret supply and demand forces that drive stock prices. Many traders rely on technical analysis as a tool for decision-making in financial markets, providing investors with greater insights than traditional approaches that focus on macroeconomics and other factors. Indicators Indicators are …
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Algorithmic trading (AT) refers to computerized trading that follows pre-programmed instructions in order to complete trades efficiently and minimize costs while mitigating market impact and human errors. The goal of AT is to minimize both these factors while at the same time minimising human errors and their associated costs. Decisions between AT and manual trading should be based on personal …
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When developing an algorithmic trading system, it’s crucial that you know how to assess its performance. This article outlines key tests you can perform on the system to make sure it is profitable and efficient. Historical tests and walkforward testing can both provide invaluable tools for gauging the performance of your system, although backtest results must be used with caution …
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Algorithmic trading has long been an integral component of the stock market, using automated decisions to eliminate emotions and impulse trading. As technology develops, trading algorithms will become smarter and responsive to live market conditions – increasing their effectiveness while building pre-trade trust. Big Data & Cloud Computing Cloud computing refers to the provisioning of resources such as servers, databases, …
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