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Financial markets lessons in Switzerland

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7 financial markets teachers in Switzerland

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7 financial markets teachers in Switzerland

(1 review)
Azzedine - GenevaRecently active32Fr
32FrMaîtrisez NinjaTrader: Develop an expert in trading!
Trusted teacher: Get an expert in trading with NinjaTrader! If you are passionate about trading and souhaitez maitriser on one of the platforms of trading with more people in the market, this announcement is for you! If you are an expert in NinjaTrader, I offer you some training to help you get into this trading platform as an exception. If you want to use the trading manual or automate your strategies to use the C# language and other personal indicators, these configurations will guide you through the process. Advice for all Nivea traders, technicians, and experienced professionals, to see who you can attend: A training app for the use of NinjaTrader, comprenant of navigation in the interface, execution of orders and analysis of operations. Detailed instructions on the creation and optimization of automated trading strategies using the C# language. Conseils pratiques sur l'utilisation des indications personnalisés pour ajouter votre touche analytique et prendre des décisions de trading claires. If you want to generate additional revenues from trading or do trading activities at regular times, you will be able to prepare the necessary concierges and competencies to make profit from your financial markets. I hope you have the opportunity to develop a veritable expert in trading with NinjaTrader! Contact your maintenant to reserve your place and start your purchases over the successful financing.
Computer programming · Investing · Financial markets
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Mattia - Zurich69Fr
69FrFinance, Statistics, Econometrics, Algorithmic Trading Tutor for master thesis and assignments
Trusted teacher: MsC in Engineering with top marks and research assistant of Econometrics for Italian top University. Business Expert in Risk Management. Academic Research in Quantitative Finance and Algorithmic Trading. Common discipline covered: Econometrics (with applications in R, Stata, SPSS, Eviews, Gretl), Statistics, Financial Mathematics, Quantitative Support for Master Degree Thesis (from Regressions to all statistical applications), Risk Management, Mathematics, Computer Science I help with assignments, exams, presentations, advanced research, dissertations, big programming projects and general skill enhancement. Proficient in all major statistical packages: R, SPSS, Stata, Matlab, EViews, Gretl. Covering university courses all around Europe: Italy, United Kingdom, France, Germany, Spain, Portugal,... Technical Skills (application and often implementation from scratch): 1) Econometrics: Multivariate Regression, Discrete variable models (i.e. Logit), Time series models (i.e. AR/MA, ARCH/GARCH), Vector AutoRegressive model (VAR), Cointegration (Engle-Granger, VECM), Long-memory process (Fractional Integration), Regime switching models (Hamilton Filter), Kalman Filter, Unobserved Components ARIMA model, Beveridge-Nelson decomposition (Hansen's approach), Copula methods, Metropolis-Hastings algorithm, Black-Litterman model (Meucci's approach), Hierarchical Risk Parity 2) Quantitative Trading (Mid-High Frequency Trading): Stat Arb & Pairs Trading models, Order Imbalance & Order Replenishment effects on intraday returns, Optimal Setup of Entry-Exit Trading Triggers for Quant Trading Strategies, Stat Arb Bertram Model, Data sampling rules for non equally-spaced data (time vs. volume clock for high freq data), Bid-Ask Bounce Bias & Sahalia Method for Microstructure Noise Estimation & Test, Hayashi-Yoshida Lead-Lag Index, D'Aspremont Method for Mean Rev Portfolios, Market Fragmentation in Financial Markets, High-Low prices & Pivot Points trading rule, Trend Following Strategy, Avellaneda-Stoikov Model for Optimal Trading Execution 3) Risk Management: P&L production & analysis for energy trading, VaR & Profit at Risk for energy trading, Merton approach for Credit VaR with/without credit rating migrations, EVT & Copula-based VaR, Stress Test models, Structured Credit Models for Regulatory Risk-Transfer, Additional Value Adjustments for Balance Sheet, Risk Aggregation, Model Risk, Interpolation Methods for multi-year PD Term Structure, Methods for Semidefinite-Positive Corr Matrix Adjustment 4) Financial Mathematics: Longstaff-Schwartz, HJM model (Glasserman's scheme), Greeks with Finite Difference Method, CPPI Products & Cushion Multiplier Setup 5) Machine Learning: Support Vector Machine, Decision Tree, Principal Component Analysis & Regression, XGBoost, Random Forest
Statistics · Finance · Financial markets
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Our students from Switzerland evaluate their Financial Markets teacher.

To ensure the quality of our Financial Markets teachers, we ask our students from Switzerland to review them.
Only reviews of students are published and they are guaranteed by Apprentus. Rated 5.0 out of 5 based on 4 reviews.

Support courses in mathematics intended for high school students, adapted to different sectors: Science Maths, Science Exp, Letters (Lyon)
Azzedine
Azzedine truly stands out as a remarkable instructor! Despite the short notice, he displayed remarkable consideration for our hectic timetable, ensuring to carve out time to equip me with Excel and Power BI skills for the assessment. A heartfelt thank you, Azzedine, for your exceptional teaching methods. I highly endorse Azzedine as your go-to teacher!
Review by IMANE
Statistics, Econometrics (including calibration of models on real data) (Adliswil)
Gianmarco
Gianmarco helped me understand and solve my problems in a friendly, quick and clear manner. He displayed a thorough understanding of the topic. I very much appreciate him as a teacher and can recommend him to anyone.
Review by CHRISTINA

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