What effect can alternative data sets have on trading algorithms? We asked a few of our teammates and systematic traders what the effect of alternative data sets is on trading algos. We thought we could spread some insight as to why our alternative data is so valuable the also developers. We all start using the […]
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The podcast on Massive 30,000 Trades Daily, High-Frequency Quant Trading with Morgan Slade including an interesting breakout trading strategy.
The former trading floors provided a sense of community. Electronic trading communities like CloudQuant provide a bright future for new traders.
Built in Chicago discusses CloudQuant, a Chicago-based algorithmic trading startup, lets anyone try their hand at devising their own strategies.
“If you are so worried about algos, why don’t you look at Python? Read up on it. Cloudquant, Quantopian. The tools are there, the information is there, for free.”
Four Problems with the Sharpe Ratio
If you are an algorithmic trader, developer, or data scientists they you have already heard of the Sharpe Ratio. Many of you use this measurement as your score card for how well your algo performs.
Trading industry veteran Andy Kershner, the CEO of CloudQuant’s parent company Kersher Trading spoke with Chat With Traders about risk tolerance, daily habits and trade critiques.
Kershner Trading, CloudQuant’s parent company, is seeking new traders to join our team. From capital to automation, we provide qualified, proven US equities traders with everything they need to practice a more well-rounded and competitive trading strategy.
Algo Developers – Entry Level
CloudQuant is THE trading strategy incubator. We’re building a free python data research tool for ordinary people with extraordinary trading ideas. We license and fund the best trading strategies and pay our users a share of the profits. Our group is a FINTECH startup housed under the umbrella of a trading firm with existing infrastructure and financial resources.