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Since May 2026
Instructor since May 2026
Building Automated Trading Bots with Python and MetaTrader 5 (MT5)
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From 263 $ /h
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MetaTrader 5 remains a industry standard for trading Forex, commodities, indices, and crypto, but manual execution leaves room for emotion and missed opportunities. In this practical course, you'll learn how to connect Python to the MT5 platform to automate your trading logic end-to-end.

We will cover initializing the MT5 Python module, retrieving real-time tick and candle data, executing market and pending orders, and calculating dynamic position sizing and stop-loss/take-profit levels. By the end of the class, you will have a working script structure to run and monitor your own automated strategies safely on a demo account.
Extra information
Bring your laptop with Python 3.x and MetaTrader 5 installed.

Set up a free MT5 Demo Account with your broker before class begins.
Location
location type icon
Online from Hungary
Age
Children (7-12 years old)
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Advanced
Duration
30 minutes
45 minutes
The class is taught in
English
Availability of a typical week
(GMT -04:00)
New York
at teacher icon
Online via webcam
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
Solana’s sub-second block times and low transaction fees make it one of the most active blockchains for automated trading, token swaps, and DEX interactions. In this practical course, you will learn how to build Python/Node.js scripts that connect securely with Phantom Wallet credentials and Solana decentralized exchanges (DEXs) like Jupiter and Raydium.

We will cover setting up RPC connections, handling keypair authentication securely, fetching real-time liquidity pool data, calculating slippage, and automating token swaps via DEX aggregators. By the end of the class, you will have a working framework for executing automated swaps, managing risk, and monitoring portfolio balances directly on-chain.
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Pump.fun is one of the most active token launchpads on Solana, where speed and real-time data streaming are critical for tracking new liquidity and token launches. In this hands-on course, you will learn how to build automated scripts to monitor live bonding curve events, parse token data, and execute fast swaps.

We will cover integrating Solana WebSocket connections (gRPC/RPC), monitoring transaction logs for new token creations, calculating bonding curve progress, and structuring automated buy/sell rules with strict stop-loss logic. By the end of this class, you will have a functional Python or Node.js framework to track new token mints and automate trade execution safely.
Read more
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Hello, I am a doctoral student in electrical engineering and associate professor in engineering sciences, experienced in the field of electrical engineering, I offer support courses in the subjects of engineering sciences (Electronics, automatics, electrical engineering, automation, programming).

Digital electronics
Analog electronic
electromagnetism (propagation of high frequency waves)
Automatic (continuous, sampled)
electrical engineering (transformers, electrical machines, switching power supply)
C / c ++ programming, Assembler, ARM, STM32
renewable energy (wind, PV)
engineering Sciences
RDM
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PIC Microprocessor and Microcontroller
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COURSE OBJECTIVES AND PEDAGOGICAL APPROACH

Resumption and deepening of fundamental concepts through exercises with course reminders.

Put the student in a situation of questioning and research.

Respond to individual issues and questions

Exercise training in order to achieve real mastery of the content.

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Specific preparation for higher education requirements (in-depth content, increase in work capacity, enrichment of scientific background)

This educational approach is effective since it has often led me to interesting results with my students.

Associate professor provides support courses in electrical engineering
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Python is the most in-demand programming language in the world right now — and one of the easiest to learn with the right guidance.
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I'm not a student teaching on the side — I'm a professional engineer who uses Python daily for data analysis, modeling, and automation. I know exactly which concepts matter in the real world and which ones you can skip for now.
Sessions are 100% personalized: I adapt the pace, the examples, and the exercises to your background and your goal — whether that's passing your university exam, building a project, or landing a job.
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doctoral student in engineering sciences provides support courses in analog and digital electronics at any DEUG level and engineering schools. having scientific and technical knowledge, three years of experience in the field of teaching, pedagogy and a sense of listening and analysis, I am able to help pupils and students and train them in the chapters of which they are having difficulty. for more info please contact me
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Don't settle for anything less than excellence.
I am an Aerospace Engineer with a Master's degree in Quantum Physics and have completed Ph.D. work at the University of Cambridge in Computational Physics. Additionally, I have 4 years of experience developing MATLAB and possess deep programming skills in MATLAB/Simulink family, C/C++, Fortran, and Python.

With over 12 years of tutoring experience, I have successfully guided more than 50 students worldwide to achieve distinction in various fields. Consistent results are my priority, and I strive for excellence in all aspects of my teaching.

My lessons are customized to meet each student's unique needs and are designed to be engaging and insightful.

Whether you are at a school level or require advanced or professional-level instruction, I offer support in the following areas:
- Preparation for IB/IA, A-Levels, GCSE, University Entry, or equivalent.
- Experience in preparing students to access world-class schools and universities, including Cambridge University, Oxford, Ivy League and other top institutions in the UK and US.
- University levels (undergraduate and postgraduate).
- High school studies and diploma programs.
- Assistance with specific projects at a professional level, including job interview preparation.
- Extensive experience working with children.

Every lesson is meticulously planned in advance to ensure that it aligns with your goals and targets areas for improvement.
I prioritize a dynamic and interactive learning experience, with one-on-one sessions tailored to your individual requirements. Lessons will be conducted via webcam, enabling you to connect from anywhere.

I have a highly flexible schedule and can adapt to accommodate your needs.
If you have any questions about my teaching method, availability, or pricing, please don't hesitate to reach out. I am here to assist you and provide the support you need.
verified badge
Hi student,

Are you a university student who are struggling in Finance, Accounting and Economics - related courses and needs further help?
Are you looking for a tutor who can help you pass the exams and inspire you to develop the love for Finance?
Then don't hesitate to join my class!

About Me:
I graduated with Cum Laude distinction in Masters Business Administration (MSc BA) - Finance major from University of Twente, Netherlands. I also hold a Bachelor Business Administration degree (BSc BA) in from Erasmus University Rotterdam (top 70th Global rank), GPA 4.0/4.0. I ranked in top 2% student (top 15/675) in Finance and Quantitative Decision Making courses during my student time. And I have completed a variety of Finance, Accounting, and Economics-related courses, from the most basic to the more advanced, so I can tailor my tutoring approach based on your level and learning goals. I now work as an Order to Cash controller in Unilever Netherlands, where I use my accounting & finance knowledge everyday.

Besides, I have experience working as university teaching assistant for over 3 courses and private tutoring many university students.

Course Highlights:
- Comprehensive Coverage: Dive deep into the core concepts of Finance, Accounting and Economics based on the materials you provided. Examples of topics: Time value of money; Risk and return; Portfolio theory; Financial Statements; Cost accounting; Microeconomics vs. Macroeconomics.
- Problem-Solving Skills: Develop analytical and problem-solving skills that are required to solve financial problems/exercises. Learn to effectively use formulas.
- Real-World Applications: Explore how these concepts are applied in the outside world and understand why it matters to you.
- Flexible Schedule: Choose from flexible schedules to accommodate your university workload and personal commitments. Please propose a few preferences and I will try my best.

Note:
- Please send me the booking request and your materials at least 48 hours before the class.
verified badge
Master Python with Personalized Courses

Discover the art of programming with Python courses tailor-made to meet your specific needs. Whether you are a beginner, intermediate or professional, my lessons are suitable for all levels.

Why Choose My Courses?

Personalized Teaching Approach: Each course is tailored to your skill level and individual goals.

Practical Experience: Learn by doing with real-world projects that build your understanding and skills.

Ongoing Support: Get unlimited email support for any questions you have between sessions.

As a Python expert, I have a passion for teaching and sharing my knowledge. My goal is to guide you effectively in your learning journey.

Book Your First Lesson:

Start your journey to Python mastery now by booking your first lesson. Whether you aspire to enter the development field or hone your existing skills, these courses are designed for you.
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I teach Python specifically for finance and data applications - the kind used in economics, business analytics, and quantitative programs. This isn't a general "learn to code" course; it's built around real financial data, benchmarking, and the workflows you'll actually use in coursework or early career work.

Topics include:
Python fundamentals through a finance lens (data structures, functions, control flow).
Working with financial data and datasets.
Performance benchmarking and writing efficient code.
Applying concepts from Hilpisch's Python for Finance.
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This course is designed for anyone interested in learning data science using Python. It provides a hands-on introduction to fundamental data analysis tools such as NumPy, pandas, matplotlib, and seaborn. You'll learn how to manipulate datasets, create visualizations, and lay the foundations for statistical analysis and machine learning.

The course combines theory and practical exercises for effective, practical progress. No prior programming experience is necessary: we'll start with the basics to build solid, usable skills quickly.
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► EXPERT BUSINESS, ACCOUNTING, FINANCE & ECONOMICS TUTOR FROM SWITZERLAND
► IB, A-LEVEL, IGCSE & INTERNATIONAL SCHOOL SUPPORT

I completed my Master’s degree in Business Information Systems at a Swiss University of Applied Sciences, where my academic background strongly combined business, finance, economics, mathematics, analytical thinking and problem-solving. This technical and business-oriented foundation shaped the way I teach today: clearly, logically and with a strong focus on real understanding.

For many years, I have successfully supported students in Business Studies, Accounting, Finance and Economics. As a tutor from Switzerland, I bring a structured, patient and highly individual teaching style to students who want to improve their grades, prepare for important exams and build real confidence in business-related subjects.

My lessons are designed for students who want more than just memorizing definitions and formulas. I focus on understanding business concepts, applying financial logic, interpreting economic relationships and solving accounting problems step by step.

► EXAM PREPARATION & ACADEMIC SUPPORT

► IGCSE BUSINESS, ACCOUNTING & ECONOMICS
I help students build a strong foundation in business concepts, financial calculations and economic thinking. My lessons include clear theory explanations, topic-by-topic revision and exam-style practice to prepare students confidently for their assessments.

► A-LEVEL BUSINESS, ACCOUNTING, ECONOMICS & FINANCE
A-Level subjects require strong analytical thinking, clear written arguments and confident application of theory to real business situations. I support students with structured revision, essay technique, calculation practice, case-study analysis and preparation for demanding exams.

► INTERNATIONAL BACCALAUREATE — IB BUSINESS MANAGEMENT & ECONOMICS
I provide structured support for IB students, focusing on deep understanding, strong terminology, analytical writing and exam technique. Students learn how to explain concepts clearly, analyse case studies, evaluate decisions and structure high-quality answers.

► INTERNATIONAL SCHOOL PROGRAMMES
I support students following international, bilingual and private school curricula in Business Studies, Economics, Accounting, Finance, Commerce and Management. Since every school can have different expectations, I adapt my teaching to the student’s syllabus, textbook, teacher requirements and exam format.

► UNIVERSITY & FOUNDATION COURSES
For older students, I offer support in Accounting, Corporate Finance, Economics, Business Administration, Financial Management, Statistics and quantitative business modules. I help students understand difficult theory, solve assignments, prepare for exams and develop strong analytical skills.

► HOW I TEACH

► I FOCUS ON REAL UNDERSTANDING, NOT MEMORISATION.
I explain business, accounting and economic concepts step by step so students understand the logic behind the theory and can apply it confidently in exams.

► I CONNECT THEORY WITH REAL BUSINESS EXAMPLES.
Business and economics become easier when students can see how concepts work in real life. I use practical examples to make topics clear, relevant and memorable.

► I SIMPLIFY COMPLEX CALCULATIONS.
In Accounting and Finance, I break calculations into clear steps so students understand what is given, which formula is needed and how to reach the final answer correctly.

► I TRAIN EXAM TECHNIQUE CAREFULLY.
Students learn how to structure answers, use key terminology, analyse case studies, justify decisions and manage time under exam conditions.

► I ADAPT EVERY LESSON TO THE STUDENT.
Every student learns differently, so I adjust my explanations, pace, examples and practice questions to match the student’s exact level and goals.

► YEARS OF EXPERIENCE WITH IB, A-LEVEL, IGCSE & INTERNATIONAL SCHOOL STUDENTS

Over the years, I have successfully supported students from prestigious schools and demanding academic programmes, helping them strengthen their understanding, master exam techniques and achieve excellent progress in Business Studies, Accounting, Finance and Economics.

► ONLINE LESSONS

► Interactive whiteboard
► Clear digital notes
► Personalised exercises
► Exam-style practice
► Flexible lesson structure
► Focused one-to-one support from Switzerland

Online lessons are structured, personal and highly effective. Students can ask questions directly, follow every step in real time and review the materials after the lesson.

► MY GOAL

My goal is not only to improve grades, but to help students become confident, independent and analytical thinkers. With the right guidance, Business, Accounting, Finance and Economics become logical, practical and much easier to master.

► SUBJECTS: Business Studies, Accounting, Finance, Economics, Business Administration, Management
► LEVELS: IGCSE, A-Level, IB, International School, Foundation Courses, University Modules
► FORMAT: Online tutoring from Switzerland
► FOCUS: Deep understanding, exam confidence, analytical thinking and long-term academic success.
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# **Master C/C++: Build the Foundation of Modern Software Development**

Unlock the power of one of the most influential programming languages in computing history! Whether you're an absolute beginner or looking to deepen your expertise, this comprehensive C/C++ course delivers structured learning from fundamentals to advanced concepts that power operating systems, game engines, and high-performance applications.

## **Why Choose This C/C++ Program?**

**Industry-Relevant Curriculum:** Learn expert guidance on the design of effective classes, functions, templates, and inheritance patterns that form the backbone of professional C++ development. Move beyond basic syntax to understand how to write clean, efficient, and maintainable code that stands the test of time.

**Templates & Generic Programming Mastery:** Go beyond introductory material with in-depth coverage of templates—the cornerstone of modern C++—enabling you to create robust, reusable code components that work across multiple data types. Discover how function templates, class templates, and variadic templates work to maximize your coding efficiency.

**Practical, Hands-On Approach:** This isn't just theory! You'll build real-world projects that demonstrate memory management, object-oriented programming, and system-level programming techniques used in today's technology landscape.

## **Your Learning Journey**

Our structured path takes you from writing your first "Hello World" program through advanced template metaprogramming, with special attention to modern C++ standards (up to C++20). You'll gain the confidence to tackle complex programming challenges and understand the "why" behind effective C++ practices—not just the "how."

## **Transform Your Career Today**

C/C++ skills remain in high demand across industries from finance to gaming to IoT. By mastering these foundational languages, you'll develop problem-solving abilities that translate to any programming environment.
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A- TOPICS YOU CAN EXPLORE AND MASTER:
1- PYTHON FOUNDATIONS
• Variables, data types, operators, conditional structures, loops, functions, modules, files, exceptions, and object-oriented programming
• Lists, tuples, dictionaries, sets, comprehensions, debugging, and writing clear, reusable, well-structured code
• Jupyter Notebook, Anaconda, Visual Studio Code, virtual environments, and package management

2 — PROGRAMMING, ALGORITHMS, AND COMPUTER SCIENCE FOUNDATIONS
• Algorithmic thinking, problem decomposition, pseudocode, flowcharts, procedural programming, object-oriented programming, recursion, and modular program design
• Fundamental data structures including arrays, lists, stacks, queues, dictionaries/hash tables, sets, trees, graphs, and their appropriate use
• Searching, sorting, traversal, algorithm efficiency, computational complexity, Big-O notation, debugging, testing, code organization, and problem-solving strategies
• Practical programming exercises ranging from beginner problems to university-level algorithmic and computational challenges

3- DATA PREPARATION AND EXPLORATION
• NumPy and pandas for importing, cleaning, transforming, filtering, grouping, reshaping, and merging data
• Missing values, duplicates, outliers, inconsistent formats, data leakage, and data-quality validation
• Exploratory data analysis using descriptive statistics, Matplotlib, Seaborn, and graphical interpretation

4- MATHEMATICAL FOUNDATIONS
• Linear algebra, vectors, matrices, derivatives, optimization, probability, and statistics
• Loss functions, gradients, distance measures, regularization, likelihood, and model complexity
• Mathematical concepts are explained according to the learner’s level and the requirements of the selected algorithms

5- SUPERVISED MACHINE LEARNING
• Linear and polynomial regression, logistic regression, and regularized models
• k-nearest neighbours, decision trees, random forests, gradient boosting, support vector machines, and Naive Bayes classifiers
• Classification, regression, model assumptions, decision boundaries, feature importance, and interpretation of results

6- UNSUPERVISED LEARNING
• Clustering using k-means, hierarchical clustering, and density-based methods
• Principal component analysis, dimensionality reduction, anomaly detection, and pattern or structure discovery
• Method selection, evaluation of data structure, and interpretation of results without predefined labels

7- MODEL EVALUATION AND IMPROVEMENT
• Training, validation, and test sets; cross-validation; hyperparameter optimization
• Accuracy, precision, recall, specificity, F1 score, ROC–AUC, confusion matrices, MAE, MSE, RMSE, and R2
• Underfitting, overfitting, bias–variance trade-off, class imbalance, feature engineering, feature selection, scaling, and regularization

8- DEEP LEARNING
• Neural-network foundations, activation functions, forward propagation, backpropagation, and gradient descent
• Multilayer perceptrons, convolutional neural networks, recurrent neural networks, and Transformer foundations
• TensorFlow, Keras, or PyTorch depending on the learner’s project and working environment

9- ARTIFICIAL INTELLIGENCE APPLICATIONS
• Natural language processing, text classification, embeddings, sentiment analysis, and foundations of language models
• Computer vision, image classification, fundamental principles of object detection, and image preprocessing
• Recommendation systems, forecasting, anomaly detection, intelligent automation, and decision-support applications

10- GENERATIVE AI AND LARGE LANGUAGE MODELS
• Transformer architecture, tokens, embeddings, attention mechanisms, prompt engineering, Retrieval-Augmented Generation (RAG), and model evaluation
• Use of artificial-intelligence APIs, vector databases, document-retrieval systems, and structured AI-enabled workflows when relevant
• Reliability, hallucinations, bias, privacy, responsible use, and appropriate human validation

11- TOOLS AND LIBRARIES
• Python, NumPy, pandas, Matplotlib, Seaborn, scikit-learn, SciPy, Statsmodels, TensorFlow, Keras, and PyTorch
• Jupyter Notebook, Anaconda, Visual Studio Code, Git, GitHub, SQL, Excel, and Power BI when useful to the project
• Additional libraries may be introduced depending on the selected specialization and dataset

12- PROJECTS, RESEARCH, AND INTERVIEW PREPARATION
• Complete projects covering data preparation, model development, evaluation, interpretation, and presentation of results
• University assignments, dissertations, theses, research projects, portfolio projects, technical interviews, and professional applications
• Code review, debugging, documentation, reproducibility, model comparison, and communication of results

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B- PERSONALIZED TUTORING: LEARNING HOW TO REASON
Machine learning and artificial intelligence become much more accessible when mathematics, algorithms, Python code, data, and real-world applications are clearly connected.

My lessons help you move beyond simply copying code or using models as “black boxes.” You will learn how to define the problem correctly, prepare the data, select an appropriate algorithm, understand how it works, train and evaluate the model, diagnose errors, improve performance, and interpret results rigorously and responsibly.

Each lesson is personalized according to your current level, mathematical background, programming experience, dataset, university work, research project, interview preparation, or professional objective. We begin by identifying your existing knowledge, software environment, expected outcomes, and main conceptual or technical difficulties. We then establish a structured learning plan.

The first lesson combines a discussion of your background, objectives, and tutoring needs; an initial assessment of your current knowledge; personalized planning and organization of future sessions; and a short trial lesson to determine the most effective learning approach.

A typical session may include conceptual explanation, development of mathematical intuition, live coding, guided implementation, model evaluation, technical problem solving, and a concise summary of the next steps.

You may work with your own dataset, university assignment, research project, or professional problem, provided that confidential information is handled appropriately. I can also provide structured examples and datasets suited to your level.

My goal is not simply to help you run an algorithm. It is to help you understand why it is appropriate, how it learns from data, how to evaluate it correctly, why it may fail, and how to build a reliable, interpretable, and scientifically rigorous solution.
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📊Microsoft Office: To establish your office skills, manage data via Excel, write professional reports with Word, and prepare impressive presentations with PowerPoint.

📐 AutoCAD: To learn engineering drawing and design two-dimensional and three-dimensional plans with high accuracy and speed.

🛣️ Civil 3D: To learn road design, network design, surveying, and quantity surveying in a scientific and practical way
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Microsoft Excel is a powerful Microsoft corporation application that helps one do various mathematical, statistical and logic operations on data sets. It's a powerful tool for data analysis.

In this lesson you will be introduced to Microsoft Excel, it's importance and the basic features of the Microsoft Excel user interface.
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Have you ever wanted to learn how websites are created but didn’t know where to start? This class is designed for complete beginners who want to learn web development in a simple, practical and enjoyable way.

I will guide you step by step through the fundamentals of HTML, CSS and JavaScript, helping you understand how websites are structured, styled and made interactive.

In this class, you will learn how to:

- Understand the basics of web development and how websites work
- Use HTML to create the structure of a webpage.
- Use CSS to add colours, layouts, fonts and styles.
- Get started with JavaScript and understand basic website interactivity.
- Write and organise simple code.
- Build your first basic webpage through practical exercises.

No previous coding experience is required. We will learn at your pace, with clear explanations, hands on practice and time to ask questions.

My goal is to help you build a strong foundation in web development and gain the confidence to continue learning and creating your own websites.
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Are you interested in learning Python but don't know where to start? This course is designed to help you understand the fundamentals of Python programming in a simple, practical, and enjoyable way.

Python is one of the most popular programming languages in the world. It is widely used in software development, automation, data analysis, artificial intelligence, and web development.

Whether you are a complete beginner, a student, or someone looking to develop new technical skills, these lessons will help you build a strong foundation in programming.

You will learn
1. Introduction to Python
2. Python Fundamentals
3. Conditional Statements and Loops
4. Working with Data
5. Functions and Practical Programming
6. Mini Projects
Good-fit Instructor Guarantee
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