facebook
Become a Tutor

Discover the Best Private Financial markets Classes in Twyford

For over a decade, our private Financial markets tutors have been helping learners improve and fulfil their ambitions. With one-on-one lessons at home or in Twyford, you’ll benefit from high-quality, personalised teaching that’s tailored to your goals, availability, and learning style.

search-teacher-icon

Find Your Perfect Teacher

Explore our selection of Financial markets tutors & teachers in Twyford and use the filters to find the class that best fits your needs.

chat-icon

Contact Teachers for Free

Share your goals and preferences with teachers and choose the Financial markets class that suits you best.

calendar-icon

Book Your First Lesson

Arrange the time and place for your first class together. Once your teacher confirms the appointment, you can be confident you are ready to start!

Private lessonsFinancial MarketsFinancial Markets in Twyford

1 financial markets teacher in Twyford

0 teachers in my wish list
|
+–

1 financial markets teacher in Twyford

(2 reviews)
Christian - Brussels, Belgium£46
£46Trading courses from a successful trader with over 20 years of experience
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
Translate this text using Google Translate.
Mattia - London, United Kingdom£61
£61Finance, 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
« Previous«
Showing results 76 - 94 of 9476 - 94 of 94

Our students from Twyford evaluate their Financial Markets teacher.

To ensure the quality of our Financial Markets teachers, we ask our students from Twyford to review them.
Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.5 out of 5 based on 13 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
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

You are here

Private lessons
Financial Markets
Financial Markets in Twyford