Nottinghamshire Forex Trading Strategies Video Course

The module examines how the major financial markets operate and how fiscal instruments that are traded in these markets are priced. Specifically, the module covers markets for equities, debts, foreign exchange, and derivatives. It also covers the primal theoretical models of mod finance, central market conventions, trading mechanisms, and the management of risk management using financial derivatives.

It also provides yous with a knowledge and understanding of the key financial instruments such as money market place instruments, bills and bonds, forwards, futures, swaps, and options. Information technology equips you with the essential techniques applied in fiscal calculations.

The module covers important concepts in Python. These include:

1. data types
2. operators and expressions
3. conditional and unconditional loops
4. data structure
5. functions
6. exception handling
7. file handling

Yous volition learn how to employ Python to analyse data, design trading algorithms, back-exam trading strategies, and construct portfolios. The module also covers estimation of econometric models and pricing derivatives using Monte Carlo simulations using Python.

The module covers important concepts of:

1. relational database design
2. information direction and manipulation in Python
3. regression analysis (unmarried, multiple, and logistic)
4. determination trees
5. naïve Bayes and K-NN
6. clustering
7. dimensionality reduction
8. support vector machines (SVM)
9. introduction to deep learning and neural network

The module covers the following topics:

1. Financial regulation and its function in the protection of consumers and markets
2. Financial regulation at the national and the international levels
3. Financial regulation specific to the FinTech industry
4. RegTech and how it can be used in the monitoring, reporting, and compliance of FinTech firms
5. How data are collected, managed, stored, and monetised by FinTech firms
6. Compliance with the General Information Protection Regulation (GDPR)
7. Cyber-crime and cyber-security

The module focuses on the following topics:

1. The concept of open distributed ledger
2. Public and private, permission and permissionless ledgers
3. Hash functions and their employ in creating a blockchain
4. Mining
5. Bitcoin and other major cryptocurrencies
6. Applications of the blockchain technology in the financial services manufacture

The Business Projection requires students, working equally groups, to undertake research in a topic which is relevant to business, management, marketing, finance, accounting, or data arrangement. You must choose their inquiry topic that is relevant to your named degree programme. The specific topic is subject to a formal approval process.

The module is intended for y’all to utilize knowledge, concepts, skills, and techniques, acquired during the taught phase of your programme to real-world, business organisation scenarios. You will exist presented with real-word business problems for which you are required to review relevant literature, carry inquiry, analyse data, and formulate feasible solutions.

This module covers:

• designing data systems: tools of the merchandise
• systems analysis and blueprint
• interface pattern
• relational databases and SQL in practice
• alignment of IS evolution and business strategy
• engineering, organisation and alter

This module examines:

• exchange rates and FX markets
• FX market efficiency
• real exchange rate and purchasing ability parity
• commutation rate determination
• exchange rate forecasting
• FX predictability: Statistical significance and economic value
• FX volatility strategies
• global equity analysis
• global performance evaluation

This module covers the following:

• International finance and globalisation
• Exchange rates regimes: to bladder or not to float?
• In search of an international monetary system
• Central banks and monetary policy
• Bank vs. market based economies
• Economics of bail markets and involvement rates