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Financial markets lessons in Luxembourg

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Rene - Chiang Mai, Thailand29€
29€Derivatives Trading and Chart Analysis Private Class
Trusted teacher: You will learn how to interpret price charts using technical analysis and place trades in the market. Examples of markets: FX, Gold, Commodities, Bitcoin. I will cover price action trading (with minimal use of indicators) and classical chart patterns. You can use what you learn to trade most markets. Some examples of what you will learn: 1) How to spot trends and reversals 2) How to enter trends 3) Which tools to use to interpret the market 4) Drawing Support and resistance zones. 5) Common pitfalls and mistakes of trading and technical analysis 6) Risk management 7) Help you build a trading plan 8) General lifestyle advice about trading as a career and business. I will recommend you tools and resources to take advantage of and tips based on my 7+ years of experience in technical analysis and trading. Chart Analysis: *Classical Chart patterns -Reliable chart patterns that have worked for almost a century and have been successfully used by professional traders. We will use Richard Schabacker's "Technical Analysis and Stock Market Profits" method to study chart patterns. *Price action- Understanding what is happening with price through impulsive and corrective moves, types of trends, reversals, and candlesticks. *We will use the tradingview platform to do chart analysis. *I can adjust the teaching style to your level. I can also advise you on specific trading opportunities during lessons, analyze charts together, give recommendations and share anything I've learned over the years.
Finance · Financial markets · Economics for adults
Mattia - London, United Kingdom69€
69€Finance, 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 Luxembourg evaluate their Financial Markets teacher.

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Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.7 out of 5 based on 7 reviews.

Asset portfolio management / market finance course
Othmane
That's my first time getting into the online courses field and i'm really impressed, Thank you Mr Othmane.
Review by MOHAMMED
Earn extra income learning Graphic designing skills
Rajiv
I really liked the lesson . Thank you so much . Mr Rajiv is really very good teacher
Review by NAVNEET

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Financial Markets in Luxembourg