Tola David's starred repositories
EliteQuant
A list of online resources for quantitative modeling, trading, portfolio management
QuantResearch
Quantitative analysis, strategies and backtests
awesome-python-data-science
Probably the best curated list of data science software in Python.
awesome-broadcasting
A curated list of amazingly awesome open source resources related to broadcast technologies
algorithmic-trading-python
The repository for freeCodeCamp's YouTube course, Algorithmic Trading in Python
studyquant
StudyQuant- Quant Finance code and vedios. Help you to learn Quantatitive Trading. 提供学习量化交易的代码和视频，帮助你快速学习量化。
startquant
本仓库为公众号FinHack炼金术《从零开始卷量化》系列文章示例代码，带你零基础入门量化交易！
Trading-Curriculum
Curating resources for learning how to trade
zillionare
请访问 😄www.jieyu.ai和公众号🫶量化风云
Quant-Finance-Resources
Courses, Articles and many more which can help beginners or professionals.
QuantsPlaybook
量化研究-券商金工研报复现
awesome-ai-in-finance
🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.
zero-to-mastery-ml
All course materials for the Zero to Mastery Machine Learning and Data Science course.
Twitter-Trends
Twitter Trends is a web-based application that automatically detects and analyzes emerging topics in real time through hashtags and user mentions in tweets. Twitter being the major microblogging service is a reliable source for trends detection. The project involved extracting live streaming tweets, processing them to find top hashtags and user mentions and displaying details for each trending topic using trends graph, live tweets and summary of related articles. It also included Topic Modelling and Entity Categorization to classify the tweets and extract valuable information about its contents and find similar tweets and related articles and URLs. A trending topic is represented as a word cloud created from set of keywords (hashtags or user mentions) that belong to that topic. Thus this application provides the required information to get an overhaul of the topics which are trending at that particular time. This data can be used to support social analysis, finance, marketing or news tracking.
financial-machine-learning
A curated list of practical financial machine learning tools and applications.
howtrader
Howtrader: A crypto quant framework for developing, backtesting, and executing your own trading strategies. Seamlessly integrates with TradingView and other third-party signals. Simply send a post request to automate trading and order placement. Supports Binance and Okex exchanges.
data-analyst-roadmap
Based on my own experience, I think this roadmap will answer all the questions of how to become a data analyst from zero, which technologies and programming languages are better to know, what kind of soft skills do we need, how do I start my professional career in this field.
quant-jobs-zurich
A list of companies of possible interest for mathematicians (or related) that are looking for a job in quantitative finance in Zurich.
ml-finance
💰 A collection of finance related machine learning examples
mastering-python-for-finance-second-edition
Sources codes for: Mastering Python for Finance, Second Edition
research_public
Quantitative research and educational materials
QuantFinanceBook
Quantitative Finance book
awesome-quant
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
pysystemtrade_examples
Examples using pysystemtrade for my blog qoppac.blogspot.com
systematictradingexamples
Examples of code related to book www.systematictrading.org and blog qoppac.blogspot.com
Deep_Learning_Machine_Learning_Stock
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.