Salih Kurucan, PhD c.

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I have a wide range of experience in quantitative analysis of power market dynamics, cross-border power trading, optimization based bidding of a power plant and trading portfolio optimization. I constantly follow regulatory changes in the energy markets. Specialties: Data manipulation, interactive data visualisation, econometric analysis, web based programming. Excellent understanding of PHP, MYSQL, ACCESS&SQL, MATLAB, EVIEWS, R. Good level of understanding of Python, Fortran, WINRATS, OXMETRICS, GAUSS, JS. Good track record on forecasting models of power demand & price from D+1 to D+30. Successfully completed various projects based on ANN, Nonlinear, Regime Switching Models, Fundema...

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Salih Kurucan, PhD c.

A Guided Tour of Machine Learning for Traders by Tucker Balch at QuantCon 2016

Deep Learning in Python with Tensorflow for Finance

Quantified News Based Trading: Is it the next big thing in algorithmic trading?

AlgoBit - One Pager

Q trade presentation

GPU Accelerated Backtesting and Machine Learning for Quant Trading Strategies

"A Framework for Developing Trading Models Based on Machine Learning" by Kris Longmore, Founder of robotwealth

L15. Machine Learning - Black Art

Algorithmic trading and Machine Learning by Michael Kearns, Professor of Computer and Information Science, UPenn

Applications of Machine Learning in High Frequency Trading

Areva fukushima

Yapı Kredi Özel Bankacılık Ekonomi Sohbetleri

Stochastic Neural Network Model: Part 2

ALCO Process - Liquidity Risk Management