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What is Algorithmic trading & How will Panther Quant be the future of algo trading?
Algorithmic trading, also known as algo-trading, has been around for several decades and has become increasingly prevalent in financial markets, including the crypto market. It is a form of trading that uses computer programs and algorithms to make trades based on a set of defined rules and parameters.
Panther Quant is a revolutionary algo trading platform that aims to better hedge your exposure in the crypto markets by providing intricate analysis. The crypto market is more volatile than most traditional markets that we are used to. With trading volumes shooting through the roof in a matter of a few seconds and affecting prices, there's more to crypto markets than fundamental and technical analysis. Panther bots target the heart of this issue by providing premium-quality sentiment and machine learning abilities incorporated in the bot. We believe the high- flying emotions within the market tend to dominate most technical indicators. Panther trading bots use a holistic approach that tracks real-time technical indicators along with data-driven technical analysis based on advanced AI enabled principles. It also does sentiment and emotion analysis of the market with the aid of machine learning to provide users with high- quality data. This data can be further utilized by the users to form the basis of their trading strategies on Panther Quant and further sell/lease/auction their successful strategies as NFT on platform’s marketplace.
The future of algo-trading looks promising, as there are several trends and factors that are driving its continued growth and adoption:
1. Advancements in technology: With the increasing availability of high-speed internet, cloud computing, and big data, it's becoming increasingly easier and more cost-effective to build and run sophisticated algo-trading systems. This will allow for more firms and traders to participate in the market and develop their own strategies.
2. Increased market complexity: As markets become more complex, with a larger number of participants and more data to process, the ability to make quick, data-driven decisions becomes increasingly important. Algo-trading can help traders to identify patterns and opportunities that would be impossible to spot manually.
3. Regulation and Compliance: As regulatory agencies are increasing their scrutiny of the financial markets, many firms are turning to algo-trading as a way to automate their compliance processes and reduce the risk of errors or breaches.
4. Growing adoption of AI and Machine Learning: The integration of Artificial Intelligence and Machine Learning (AI/ML) into the trading algorithms, allow algorithms to learn and adapt to the ever-changing market conditions. This will also help in developing more efficient and profitable strategies.
5. Increased Efficiency: Algo-trading can help to reduce the costs associated with trading by automating routine tasks, reducing the risk of human error and increasing the speed of trades.
While the future of algo-trading looks positive, it's important to note that the field is constantly evolving and changing. And such an evolved platform is Panther Quant!