Trader & Trader Related Posts and News

A trader is anyone who buys and sells in the financial markets for the purpose of achieving short-term gains (alpha.)  Traders today utilize execution management systems to watch the prices in the market and to execute their orders.

The following are posts and links that are interesting to traders and those who want to move from trading into algorithmic trading and who are seeking capital for trading.

Posts

Andy Kershner, veteran trader discusses CloudQuant

Risk tolerance, daily habits and trade critiques with Andy Kershner

, ,
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. Andy has been an active stock trader since the early 90’s, and in 2001 he founded Kershner Trading Group—a proprietary trading and technology firm in Austin (Texas) and, through a partnership with SMB Capital, Kershner Trading have a second office in Midtown (Manhattan) too.

Topics of discussion:

  • Andy talks about his ability to take pain on trades moving against him, and whether or not day traders with a greater risk tolerance make more money.
  • Beyond good strategies; the daily habits which have contributed to Andy’s trading success. Plus, Andy critiques his trades from the session prior to recording.
  • Andy shares several types of strategies which have been working for him lately, how he “ladders” into favorable positions and a few tips for doing the same.
  • As someone who’s hired many new traders, Andy describes some of the typical errors made by traders just starting out and how they could be better prepared.
  The follow up interview with Morgan Slade is now available too at https://info.cloudquant.com/2017/06/crowd-research/
Kershner Trading, parent of CloudQuant

Traders

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.
Python Scripts in CloudQuant's Algorithmic Trading and Quantitative Strategy Backtesting Application

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.
Stock Market, Quantitative Strategy, Trading, and Algo Development Industry News

Short Term Stock Trading Strategies

Both The RSI And Stochastic Can Help You Create Profitable Short Term Stock Trading Strategies

I typically receive dozens of emails from traders who are just starting out asking me for help in creating short-term stock trading strategies. A few weeks ago I demonstrated a strategy using the RSI indicator; I received several emails from readers asking me to explain the difference between the RSI Indicator and the Stochastic Indicator. Without getting into complex mathematical formulas, the RSI indicator measures the momentum or velocity of price movement or in plain English the RSI indicator measures when prices moved too fast too soon. The Stochastic Indicator, on the other hand, is a measurement of the placement of a current price within a recent trading range. The theory is that as prices rise, closes tend to occur nearer to the high end of their recent range. Conversely, when prices drop, closes tend to be near the low end of the range. This is how the Stochastic Oscillator measures price levels. Both indicators are considered momentum oscillators because their primary role in most short-term stock trading strategies is to locate overbought and oversold market conditions. 
Read the full article on MarketGeeks by Roger Scott on May 9, 2017
Kershner Trading, parent of CloudQuant

Kershner Trading Announces the Formation of CloudQuant

,
November 1, 2016

Chicago, Illinois

For Immediate Release

Kershner Trading Group, LLC announces the formation of CloudQuant®, a wholly owned subsidiary.

CloudQuant is:

  • an educator,
  • a facilitator for traders, technologists, and data scientists
  • a technology provider,
In short, CloudQuant is the Trading Strategy Incubator which will allow the trader, software engineer, data scientist or individual with an great trading idea to receive funding for an algorithm that has been tested and proven in backtesting.

CloudQuant began as an internal trading tool for traders with extraordinary trading ideas to be able to explore quantitative trading with the evolution of data science. The technology behind our innovative approach to incubating trading strategies began as an internal system and has been proven through daily use within the Kershner Trading Group. Kershner’s experience as a trading firm focused every day on the work of operating and executing profitable quantitative trading strategies provided the trading and technology expertise to design a platform that enables researchers to go from idea to production implementation in a matter of hours.

CloudQuant’s mission is to provide you with tools to develop and prove your trading strategies. We then license your strategy from you. Once licensed we assign capital from our funds to your strategy. Our professional traders, risk managers, and technologists oversee the running of the trading strategy.

When a client’s trading strategy makes money the client will be paid.  Loses are the responsibility of CloudQuant.