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Biography

Throughout my career, I have been actively involved in designing and implementing trading strategies for both institutional and retail investors. I have collaborated with various teams to develop tailored algorithms that optimize trading performance, minimize risks, and maximize returns. My expertise lies in transforming trading requirements into an automated system, backtesting strategies, and analyzing market data. I specialize in developing within QuantConnect, a backtesting and live trading platform that leverages its trading engine, LEAN. I also work as a Data Science & Engineering consultant, where I have delivered Fortune 500 companies personalized data solutions that have optimized the way they work internally and interact with their consumers.

Activity on QuantConnect

We are pioneering the radical future for open-source quant finance. QuantConnect is the world's largest quant community, empowering 220,000 quants with a framework, data, and infrastructure for their investments.


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Community

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Quinn left a comment in the discussion SPY, Minute The issue starts at the start of the data; and continues until now

qb = QuantBook() self = qb self.resolution = Resolution.Minute self.aggregation =...

1 years ago

Quinn left a comment in the discussion SPY, Minute The issue starts at the start of the data; and continues until now

qb = QuantBook()

1 years ago

Quinn started the discussion Help with installing lean engine for Python in Eclipse

Hello,

4 years ago

Quinn left a comment in the discussion SPY, Minute The issue starts at the start of the data; and continues until now

qb = QuantBook() self = qb self.resolution = Resolution.Minute self.aggregation =...

1 years ago

Quinn left a comment in the discussion SPY, Minute The issue starts at the start of the data; and continues until now

qb = QuantBook()

1 years ago

Quinn started the discussion Help with installing lean engine for Python in Eclipse

Hello,

4 years ago