Algorithmic Developers

Algo Developers also called Quantitative Analysts or Quants, design and implement trading algorithms that apply artificial intelligence, machine learning, and deep learning techniques for the purpose of allowing financial firms to price and trade securities. They are employed primarily by proprietary trading firms, investment banks, hedge funds, and other financial institutions that manage funds or have trading/investment operations.  Quants typically work directly with traders, providing them with algos for the purpose of pricing or trading.

Posts

Backtest Homepage showing P&L and Sharpe

CloudQuant rolls out Upgrades to Free Stock Market Backtesting System

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CloudQuant, the trading strategy incubator, announces upgrades to our free stock market backtesting system. The web application allows any market enthusiasts to develop a trading strategy using easy to learn Python programming. Anyone who has ever written a spreadsheet macro or a simple program can easily use the system.
Trading Strategy Scorecard from CloudQuant

One Minute Trader Podcast with Tayloe Draughon of CloudQuant

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One Minute Trader with Matt Davio recently interviewed Tayloe Draughon to discuss Crowd Sourced Trading Ideas using our trading strategy incubator.
Backtest Research Life Cycle for Trading Strategies

Backtesting Trading Strategies

If you knew your trading strategy would work 50% of the time, would you commit your scarce savings to trade it? What if it worked 75% of the time? Backtesting gives one the confidence to know that your trading strategy will work.
Three Inside Up Technical Pattern shown on $IBM Jan 2, 2018

TA-LIB Three Inside Up Buy Signal - $IBM

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IBM, the 100-year-old company, is wedging into a tight trade, but it looks like the Bulls are gearing to press a move higher. Just before year-end, the stock set a Three Inside Up Japanese candlestick pattern setting the stage for a rally. Source code using TA-LIB and Python included.
Harami Sell Signal on Google Dec 20, 2017

Harami Sell Signal with Three Inside Down Demonstrated on $GOOG

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December 19, 2017 Monday Google pressed new highs, but Tuesday closed out the day with a Harami Sell signal. Watch out for today. A negative close today boosts the negative outlook with the emergence of a Three Inside Down pattern. In this event, it will most likely mean that there will be a “little coal in Google stockholders stockings for Christmas”.
www.futuresradioshow.com

Futures Radio Show interviews Morgan Slade December 12, 2017

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CloudQuant's CEO was interviewed by Anthony Crudele of Futures Radios show to discuss topic including Artificial Intelligence, Machine Learning, and Deep Learning applied to algorithmic trading. Alternative datasets are a major topic of discussion. People are saying that data is being created faster than ever before. That really isn't true. What is really happening is that data is being captured and stored at a faster rate than ever before. Vendors are now making AltData available for traders to change the way that they interact with the markets. This applies to futures and stocks with the popularity of Deep Learning in algorithmic trading strategy development.
Machine Learning, Quantitative Investing News

Industry News: Machine Learning and Artificial Intelligence for December 18, 2017

CloudQuant Thoughts: We really like the following quote in this article: “A huge part of financial services built technology in-house or used a small number of vendors and that old model is dying,” Whitcroft added. ‘Financial services is being componentisized.” This gets to the heart of new business models that include innovation and crowdsourcing. We have found that innovators, with atypical backgrounds and education, when given access to institutional grade tools and datasets can create something unique. There is significant value that can be derived. Our business model is proving this out daily.
RSI

Technical Analysis Library (TA-LIB) for Python Backtesting

Anyone who has ever worked on developing a trading strategy from scratch knows the huge amount of difficulty that is required to get your logic right. ... TA-LIB Turbo-Charges Your Research Loop: TA-Lib is widely used by quantitative researchers and software engineers developing automated trading systems and charts. This freely available tool allows you to gather information on over 200 stock market indicators.
Candlestick market data chart

Understanding Candlestick Bars & Market Data for Beginning Algo Programmers

In this video, we introduce you to Candlestick Bars, a store of Historic Market Data, how to access that data via Pythons Lists and how pointers work in lists.

Catalent Inc. – $CTLT – Bearish Engulfing Sell Signal

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There was a fresh sell signal for Catalent Inc. stock this week. The recent rally has been put on hold with the emergence of a Bearish Engulfing signal. More selling pressure is expected to develop as the market degrades from the steep upward slope it has been trending on. This post shows a trading signal and has algo source code links.