Welcome to Enora Global fund A Multi Class fund
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Our Technology Partners

GUIDE US TO ACHIEVE CONSTANT IMPROVEMENT AND RAPID ADAPTABILITY

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INVESTMENT RESEARCH & ALGORITHMIC TRADING FIRM

MarkeTopper Securities Pvt Ltd. is an India-based investment research & algorithmic trading firm founded in 2001. In its initial phase the firm focused on highly accelerated development of efficient engines for generating deep pools of trading strategies for multiple markets. These pools were then successfully deployed in National Stock Exchange of India over the next decade.

Our Approach

FOR SUPERIOR PERFORMANCE

MARKETOPPER’ s dual objectives are constant improvement and rapid adaptability to ensure consistently superior trading performance. To foster a high degree of independent thinking and innovation, Marketopper has enabled an environment of widespread experimentation.

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    SELECTION FROM
    DIVERSE BACKGROUNDS

  • encouraged

    ENCOURAGED TO
    THINK OUT-OF-THE-BOX

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    FREEDOM TO FAIL

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    INDIVIDUAL MAXIMIZATION

In order to bring varied experiences and approaches to the experimentation process the core team has been strategically selected from appropriately diverse backgrounds. Every team member is encouraged to be out-of-the-box minded and test out the most radical of ideas and concepts. We regard the ‘freedom to fail’ as a core pivot of the learning process and maximization of individual – and therefore organizational – potential.

ALPHA OPENSOURCE

Works on state of the art technologies involving data mining and machine learning.

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Professor Prospero C. Naval, Jr

Department of Computer Science
of the University of Philippines,Diliman.

The Alpha OpenSource Artificial Intelligence (AI) research unit is led by Professor Prospero C. Naval, Jr. who used to be the Chairman of the Department of Computer Science of the University of Philippines, Diliman. He holds a Ph.D. degree in Electrical Engineering from the University of Philippines and a Master's degree in Computer Science from Japan's Kyoto University.

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He has authored a wide range of articles and publications. Among his famous publications is one entitled “Stock trading system based on the multi-objective particle swarm optimization of technical indicators on end-of-day market data” Prof. Naval is the guiding force behind a number of researchers who specialize in making Artificial Intelligence-based engines used for generating trading strategies. .

The team he is working with is presently working on state of the art technologies involving data mining and machine learning. Techniques such as Feature Selection, Genetic Algorithms, Support Vector Machines, Clustering and various stochastic/probabilistic methods are utilized on market data to come up with efficient trading systems.

Team members are also from the University of the Philippines with Master's and Bachelor's degrees from diverse fields such as Computer Science, Molecular Biology, Computer Engineering, and Physics.

for more details please visit:

www.marketopper.com

www.alphaopensource.com