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.
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.
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.
Grace: Going back to what you are doing now with CloudQuant, I understand that you have a trading strategy incubator where your team has the experience, the technology, the capital and allows algo traders to essentially get a strategy funded. Can you tell us more about that and the vision behind it?
The CloudQuantAI github repository holds the share_ordering_demo tutorial/code that demonstrates ways to buy and sell stocks in the CloudQuant backtesting engine using Market, Limit, and Midpoint Peg Order types.
There is no single “right way” to do any of these. You will have to think carefully about
Technical analysis shows a piercing the line trading signal. This post includes links to source code show how to capture this signal with TA-LIB
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.
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.
AI & ML news covering: the creative process, improving skills, ETFs, Risk, Supervised Learning, RiskGenius, Robo Cops, Fears, NVidia, Quickbooks, SEC Edgar …
The podcast on Massive 30,000 Trades Daily, High-Frequency Quant Trading with Morgan Slade including an interesting breakout trading strategy.