Zipeng Wu

writes the final thesis.

Bis 2021, Quantitative Strategist, Endemaj Token Fund

Student, machine learning, University Malaya

Kuala Lumpur, Malaysia

Über mich

My motto: Spend your life doing one thing well. My future goal is to become a data scientist. Currently applying for a Ph.D. position in machine learning or data mining. My Google Scholar link:https://scholar.google.com/citations?user=CROGdXYAAAAJ&hl=en 1. More than half a year of working experience as a quantitative strategist, work results: independently developed three digital cryptocurrency quantitative algorithmic trading strategy actual trading, independently developed multi-user digital cryptocurrency exchange actual trading framework, independently developed quantitative strategy backtesting framework. 2. Specializing in multivariate time series analysis and forecasting. 3. Current research interests: explainable machine learning, number of new coronary pneumonia cases prediction, sepsis prediction, time series prediction and analysis, causal inference in machine learning.

Fähigkeiten und Kenntnisse

Python-Programmierung
Machine Learning
Deep Learning
Data Mining
Microsoft Excel
PowerPoint
Excel
Team work
time-series prediction
Data Science
Analytics
Quantitative Finance
Algorithmic trading

Werdegang

Berufserfahrung von Zipeng Wu

  • 6 Monate, Feb. 2021 - Juli 2021

    Quantitative Strategist

    Endemaj Token Fund

    work results: independently developed three digital cryptocurrency quantitative algorithmic trading strategy actual trading, independently developed multi-user digital cryptocurrency exchange actual trading framework, independently developed quantitative strategy backtesting framework.

  • 4 Monate, Juni 2018 - Sep. 2018

    Quantitative Strategist

    Beijing Singularity Disintegration Co.

    1. Clean the data of digital currency ochlv, model the regression of financial time series, write a backtesting framework with Sharp rate, maximum retracement, and other indicators in Python, and develop a strategy of Sharp rate 1.57 2. Using python to implement common timing and quantification strategy models, analysis of buying and selling points on the minute data of digital currency, moving average, RSI, Bollinger band.

Ausbildung von Zipeng Wu

  • Bis heute 4 Jahre und 9 Monate, seit Sep. 2019

    machine learning

    University Malaya

    MPhil of computer science

  • 3 Jahre und 11 Monate, Sep. 2015 - Juli 2019

    information countermeasure technology

    Guilin University of Electronic Technology

    related to computer science and information science

Sprachen

  • Englisch

    Fließend

  • Chinesisch

    Muttersprache

Interessen

Photography
Swimming

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