Alessio Farhadi posted “A.I. Trading – A Question of Ethics” on LinkedIn. His main point is that machine learning and algos do not have ethics. … Fairness to the industry requires that one should review the steps that have been taken by innovators, regulators, broker-dealers, and exchanges to mitigate any potential dangers of using computers and algorithms to trade.
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
AI & ML news covering: Overvalued Markets, crypto-currencies, Quantamental funds, Social Sentiment Deceptions, Hiring of Buy-Side Quantitative Trading, …
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
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 …
Recording of October 17-19, 2017 Future Industry Associations EXPO panel discussion on Open Source Meets Quant Trading.
A suggested a Zig-Zag trading strategy that bounces back and forth on the stock market to make small profits. Testing shows the strategy wouldn’t work.
AI and ML for CloudQuant, ArcaEx, Corporate earnings reports, Hedge Funds, Microsoft, Alexa, Saturday Night Live, the apocalypse, Elon Musk, and more …
An interview by Anthony Crudele of Futures Radio Show discussing the success of the Trading Strategy Incubator, crowd researching, and algorithmic trading.