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Talk to an Expert| Category | Assignment | Subject | Financial |
|---|---|---|---|
| University | Loughborough University (LU) | Module Title | BSC006 Financial Trading |
This module will build on financial market theory gained from other modules within practical and relevant live market environments. Students will see first-hand the difference between what should happen in response to market events, and the actual response seen in real-time.
This module will, through practical application, highlight the realities of taking decisions of risk in today’s financial markets. As students take and manage decisions of risk in live market prices, core theory will be explored in relation to the variability of their trading performance.
The module has been used as a basis to deliver training to senior directors at leading buy-side firms including UBS, Legal and General Investment Management (LGIM), Pictet Asset Managers, The Kuwaiti Sovereign Wealth Fund, Natwest Markets, and Barclays Wealth Management.
Loughborough Business School.
The aim of this module is to introduce the world of trading and give the opportunity to work both with high-frequency live market data and simulated price action. Students will learn market microstructure concepts, such as bid-offer spreads, liquidity, margin, marking to market, futures, interest rates, stock indexes, currencies, commodities, alternative investment products, leverage among others. Students will learn about the role of hedgers and speculators and other types of traders such as individual traders, portfolio managers, proprietary trading firms, hedge funds and market makers.
This module will give an introduction to technical analysis; hence students will learn how to identify patterns in market data to identify trends and make predictions. The module will also provide a discussion of how macroeconomic events impact financial markets, and how human emotions and psychological biases can adversely affect trading decisions. The module will be delivered using a combination of lectures, classroom exercises and work with a trading simulation software package.
On successfully completion of this module, the student should be able to:
On completion of this module, students should:
On completion of the module students should have acquired and enhanced transferable skills of broad relevance. These should include:
Students are expected to be familiar with recent developments in financial markets. This will require a daily review of the FT combined with reviewing Bloomberg and Reuters home pages for leading news alongside AmplifyME’s Market Maker Newsletter and Market Maker podcast resources. Specific attention should be given to global political risk, monetary policy changes and the yield curve that will have a significant impact on their trading experience.
Students will be connected directly to AmplifyME’s London trading floor as they research, analyze and strategize for each trading decision made. Students will be encouraged to explore the practical implications of contemporary financial market theory.
Students will need access to a PC or laptop to access the platform. No prior download is required and logins will be provided on Day 1 to operate as a sales and trading desk, asset manager and proprietary trader. All students will receive individual performance reports of their activity in each role combined with reflective advice on how their performance may have been impacted by trading psychology and behavioural finance.
The Trading Process for Exchange and OTC markets, Understanding the Impact of Market moving Information, Liquidity, and Trading, Trading Strategies, Managing Market Risk, Simulated Trading of Financial market instruments.
Day 1: Asset Management
Day 2: Sales and Trading
Day 3: Live Trader
Individual written feedback on coursework and verbal feedback to in-class simulations.
Results of in-class trading simulation and feedback on performance.
| Assessment Title | Weight | Assessment Type | Deadline |
| Participation | 5% | Particpation in AmplifyME
Training Days |
3 days with AmplifyME |
| Performance in
Simulations |
25% | AmplifyME In-Class Tests | 3 days with AmplifyME |
| Individual Report | 70% | Coursework | 11am 23rd April, Week 9 |
Assessment for the module is by an individual report. 70% of your final module mark will be derived from a reflective report reviewing your experience of behavioural finance in practice.
Answer ONE of the following two questions:
| Marking Criteria | 0-39 % | 40-49% | 50-59% | 60-69% | 70-79% | 80-100% |
| Focus | General and sometimes inaccurate focus. | Very general statements. | Mostly focused
on the question asked. |
Good focus on the key question. | Keeps to the point, focus on question. | Highly focused answer. |
| Content | Very basic detail, some inaccurate reporting. | Little detail or explanation, general “headlines” without much supporting text. | Reasonable
level of detail. Some key points missed. |
Good level of detail and explanation. Most key points covered. | Clear facts, well explained, Good level of detail (not overboard) | Excellent level of detail, very well explained. |
| Use of
Models/ Concepts |
No basis in theory or accepted models. | Basic use of theory, derived from lectures alone. | Good use of theory, based largely on lectures. | Good use of relevant theories /models / concepts extending beyond the lecture notes. | Very good use of relevant theories and models, extending beyond the lecture notes. | Excellent use of relevant theories and model. |
| Evidence of Research | No citations / references. Statements have no supporting evidence. | Statements often not supported by evidence, few sources cited. | Statements
supported, some meaningful research undertaken. |
Good
referencing, statements supported by evidence. Good sources used. |
Wide range of research. Very good sources of data and references. | Excellent use of research material, evidence, sources and referencing. |
| Analysis/
Discussion & Evaluation |
No real analysis or application of theories. | Descriptive, shallow, shows basic information without any analysis. | Good attempt to analyse, or prioritise issues. | Good attempt to analyse, or
prioritise issues and to draw conclusions. |
Evidence of argument, analysis and discussion. Good conclusions drawn. | Strong evidence of argument, critical analysis and discussion. |
| Presentation of Report | Unstructured, messy, spelling and grammar mistakes | Neat and tidy but with no real structure. Some spelling errors. | Well presented with minimal
errors. Room for improvement in structure. |
Well presented with a good attempt to structure. | Good logical structure, neat and tidy. Good
“signposts” (headers / footers / subheadings) |
Very well structured and professionally presented. |
Assessment: BSC006 Financial Trading Individual Report Student ID:
| Marking Assessment Criteria | 0-39 % | 40-49% | 50-59% | 60-69% | 70-79% | 80-100% |
| Focus | ||||||
| Content | ||||||
| Use of Models/Concepts | ||||||
| Evidence of Research | ||||||
| Analysis/Discussion & Evaluation | ||||||
| Presentation | ||||||
| Overall feedback comments and areas of strength:
Feedback to help you improve future work: Mark: |
||||||
| Student reflections: List up to three actions you will take forward from this feedback.
To help you reflect on the feedback provided to enhance future submissions refer to : Feedback on your work | Student Handbook | Loughborough University |
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Please note the university’s guidance on the use of Generative AI tools in assessed work is available here: Use of Generative AI tools | Student Handbook | Loughborough University If the module team are concerned that the use of GenAI goes beyond what has been defined as acceptable under the above guidance you may be required to attend a meeting to explain your use of GenAI.
The deadline date is provided above. One electronic copy must be uploaded to the submission point for the module on LEARN by the submission deadline.
You must use the following file naming convention for your work. You should not include your name anywhere on your assignment. You should also include the filename in the header of your report.
StudentNumber – Module code – Coursework component (e.g. F123456-25BSC006-CW)
Your submission should be one document only (i.e. no loose appendices etc), preferably in Word or as a pdf (not scanned copy). If your assignment consists of different documents in varying formats you will need to embed them in a Word document or convert them to pdf and upload one document. The file size limit for your submission is 20MB.
IMPORTANT NOTE: You need to ensure you back up your coursework and any other important documents. Information on data storage can be found here: http://www.lboro.ac.uk/services/it/student/storage/.
Losing your work through technical failure is not a valid reason for a Mitigating Circumstances claim or a coursework extension request.
If you have problems with meeting the deadline for this coursework, and you believe your circumstances may qualify you for an extension (please refer to: Coursework extensions | Student Handbook | Loughborough University) you may wish to request a 48-hour extension and/or submit a Mitigating Circumstances claim. This must be requested in advance via:
Coursework Extension Link: Coursework extensions | Student Handbook | Loughborough University
Mitigating Circumstances Link: Mitigating Circumstances | Student Handbook | Loughborough University
Please note that the maximum extension for a group coursework will be 48 hours.
If you have questions relating to the coursework, just ask! Aside from email, you can ask me during the lectures. In Week 5 we will have a coursework dedicated Q&A session. Note, answers to any questions regarding the coursework will be shared with the entire group to ensure fairness.
Provisional marks and feedback should be available by Friday 22nd May 2026. All marks are provisional until ratified by the formal examination boards
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