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Financial markets lessons in Skhirate

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1 financial markets teacher in Skhirate

Trusted teacher: Trading is a zero-sum game. It is an activity where the sum of the gains and losses of all traders is equal to zero. This means that the gain of one necessarily constitutes a loss for the other. Therefore to be a winning trader, it is "sufficient" to be "better" than 50% of the other traders (to simplify things even if that does not is not totally accurate). It seems easy as long as you know what to buy, at what price and when to sell. I am an industrial engineer and I trade (stocks and ETFs) for over 20 years. During the first years of trading I was losing because I had no clear strategy and I was not advised by an winning expert. I mostly did my own research in books and on the internet. I was developing strategies that I tested with my own money. Over time I eliminated the losing strategies and improved those which made me win in order to optimize them. Today I only use four strategies (one main and three complementary) because they make me win regularly and with the best risk / gain ratio. If you are a beginner or if you are a trader who is losing or not earning enough, then I can help you become a winning trader over the year by sharing my 4 strategies with you. Since I am an engineer and not a financial expert, I am not going to overload you at all with theoretical financial concepts that are not necessary in order to become a successful trader. I will teach you the bare minimum that you need to know in order to become a successful trader. Because what is important is to be a successful trader and not not an expert who knows the theory inside out but who loses in trading. Depending on your level and your choices, I offer the following modules : 1) Choice of best trading platform that is suitable for you. 2) Presentation of my main strategy and the checklist (34 criteria that must be positive before buying stocks). 3) Adaptation of my main strategy to the level of risk you wish to take. 4) Presentation of the 3 complementary strategies. 5) Discover the useful websites for the 4 strategies. 6) Explanation of the golden rules for the management of the bankroll that you have devoted to trading. NB: see below Specialized in stocks and ETFs as bull. Against selling short for purely mathematical reasons (i am happy to explain why). I take swings for several weeks to several months.
Financial markets · Investing · Personal finance
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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Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.5 out of 5 based on 13 reviews.

Accounting for business people and degree students (Twyford)
Phil
Great lesson with Phil, he's very knowledgeable about corporate finance and valuation methods. Thank you so much!
Review by ANNE-SOPHIE
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
Trading courses from a successful trader with over 20 years of experience (Brussels)
Christian
Excellent teacher. Just clear and straightforward to the important points.
Review by JAVIER