Quantitative Finance

Quantitative Finance or Mathematical Finance is applied mathematics with a strong focus on the financial markets. In Quant Finance, especially quant finance for trading firms, the quant seeks to use numerical models from market prices, company or asset fundamental data, and alternative data to develop new trading or investment models. The goal is to provide a new trading model.

CloudQuant provides quantitive financial enthusiast and professionals with free tools to develop new trading models. These crowd researchers develop the trading models and work with quantitative traders to execute the trading strategy. The quant is paid based on a license agreement where the trading strategy receives an allocation and they retain their own intellectual property (the algo.)


Quantamental alternative data

The Rise of Quants in Trading and Financial Markets

Cloud computing and access to industrial grade investment and data science tools are changing the playing field for quantitative trading firms. CloudQuant's CEO Morgan Slade participated in a panel at Stocktoberfest West in October 2017. This has raised the discussion of quantamental investment and data science techniques. This is the merger of technology, investment management, and data science.
Bullish Turn of Events for Sprint - S by Theodore Kekstadt

Bullish Turn Of Events For - $S: TA-LIB Three Outside Strategy

This stock has been on a negative slide for months, and every bounce has been one to sell into. The outlook is different for this current turn in direction. A “Three Outside Up” Japanese Candlestick reversal pattern... Source code for signal links included.
John "Morgan" Slade

Open Source Meets Quant Trading - Futures Industry Association

Recording of October 17-19, 2017 Future Industry Associations EXPO panel discussion on Open Source Meets Quant Trading.

Backtest Visualization on CloudQuant

The Quantitative Strategy Backtest ScoreCard is saving time for crowd researchers who are able to visualize the results of multi-day backtests quickly, even as the backtest is running.
chicago cityscape and sears tower

Built in Chicago: Wanna try your hand at high-frequency trading? There's an app for that

Built in Chicago discusses CloudQuant, a Chicago-based algorithmic trading startup, lets anyone try their hand at devising their own strategies.
John "Morgan" Slade

FintekNews: 3 Questions with John “Morgan” Slade of CloudQuant

FintekNews recently asked 3 Questions of our CEO Morgan Slade. This is in response to our recently announced launch with a $15M allocation to a crowd based trading strategy algo creator.
Algo developer getting paid

Intro to Machine Learning with CloudQuant and Jupyter Notebooks

Trevor Trinkino, a quantitative analysts and trader at Kershner Trading Group recently put together an introduction to Machine Learning utilizing CloudQuant and Jupyter Notebooks. In this video he walks you through a high-level process for implementing machine learning into a trading algorithm, ...
Morgan Slade, Python Data Scientist and Trader

Quant Trading and Superpowers: Morgan Slade speaks on Opportunity

"You have a chance to try and change an industry" said Slade, CEO of CloudQuant at the MarketsWiki Education’s World of Opportunity event in New York.
New York

New York, midtown - Experienced Quantitative Portfolio Manager or Strategist

CloudQuant’s Global Systematic Trading unit is seeking experienced Quantitative Portfolio Managers and Strategists for the U.S. equity market. Ideal candidates will have an MS or Ph.D. in an Engineering or Pure Science discipline from a top school with formal academic coursework in Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Digital Signal Processing,
Quantitative Strategies and Capital for Trading

Quantitative Trading and Data Science in the News August 7 2017

Citadel fund up 7%, Hedge funds betting against Tesla (and losing), Data Analytic trends, ...