WHY DESLARGE?
We aim to be the powerful tool for inexperienced as well as experienced traders, as we provide faster execution, increased accuracy, better risk management, personalization and transparency which can lead to improved returns and a greater sense of trust in the trading process.
Proactivity
Algorithmic trading is becoming increasingly popular, but it is important to be aware of the potential pitfalls. The most common pitfalls include over-trading, over-optimizing, and over-leveraging.
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Trading algorithms are computer programs that are designed to generate trading signals and make trading decisions. These algorithms are programmed to analyze large amounts of data and identify profitable trading opportunities. Once a trading opportunity has been identified, the algorithm will generate a trading signal and make a trade automatically.
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Trading algorithms are typically based on mathematical formulas and algorithms that identify patterns in market data. These patterns can be used to identify profitable trading opportunities and generate trading signals.
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Trading algorithms can also be programmed to analyze a variety of different factors, such as market news, economic data, and company fundamentals. By analyzing these factors, trading algorithms can make more accurate trading decisions.
Algorithmic trading, also known as automated trading or black-box trading, is the use of computer programs to execute trades based on a set of predefined rules and algorithms. While it can bring many benefits to experienced traders, it can also have drawbacks if used by inexperienced users.
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Lack of understanding: Inexperienced users may not fully understand the algorithms and rules used in algorithmic trading, which can lead to poor decision making and potential losses.
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Over-reliance on technology: Inexperienced users may become overly reliant on the technology and may not be able to make decisions or react to market changes without the help of the algorithm.
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Lack of human judgement: Algorithmic trading is based on pre-defined rules and may not account for unexpected market events or other factors that require human judgement.
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Lack of transparency: Some algorithmic trading systems may be opaque and not fully transparent, which can make it difficult for inexperienced users to understand how trades are being executed.
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High costs: Algorithmic trading can also be costly, as inexperienced users may require significant investments in technology and expertise.
Overall, algorithmic trading can be a powerful tool for experienced traders, but it can be risky for inexperienced users. Inexperienced users may not fully understand the algorithms and rules used in algorithmic trading, may become overly reliant on the technology, and may not be able to make decisions or react to market changes without the help of the algorithm, which can lead to poor decision making and potential losses. Additionally, some algorithmic trading systems may be opaque and not fully transparent, which can make it difficult for inexperienced users to understand how trades are being executed and can also be costly.
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We bring to you an experience of more than 6 years in algorithm development, strategy optimization and operation.
Experienced Leadership
Authenticity
Algorithmic trading offers several key benefits that make it an attractive option for traders. One of the main benefits of algo trading is that it is fast and efficient. Algo trading can execute trades in milliseconds, allowing traders to take advantage of market opportunities that may otherwise be missed.
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Algo trading also allows traders to make decisions based on objective criteria, rather than relying on subjective judgments. This can reduce the risk of making trading decisions based on emotion or hunches. Algo trading can also provide traders with real-time market data and analysis, which can help them make more informed trading decisions.
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Algo trading can also help traders maximize returns. By taking advantage of market opportunities quickly and efficiently, algo trading can help traders maximize their returns on investment. Algo trading can also be used to minimize risk by reducing the possibility of human error.