Modelling A.I. in Economics

FTSE 100: Bull Run or Bear Trap?

Outlook: FTSE 100 index is assigned short-term B2 & long-term B1 estimated rating.
AUC Score : What is AUC Score?
Short-Term Revised1 :
Dominant Strategy : Hold
Time series to forecast n: for Weeks2
ML Model Testing : Multi-Task Learning (ML)
Hypothesis Testing : Ridge Regression
Surveillance : Major exchange and OTC

1The accuracy of the model is being monitored on a regular basis.(15-minute period)

2Time series is updated based on short-term trends.

Key Points

FTSE 100 index is expected to surge due to economic recovery, low-interest rates, and increased investor confidence. However, geopolitical tensions and inflation concerns may hinder its growth. Additionally, the index could face volatility due to the upcoming UK general election.


The FTSE 100 Index is a stock market index that measures the performance of the 100 largest and most liquid companies in the United Kingdom. It is a capitalization-weighted index, meaning that the value of each company in the index is proportional to its market capitalization. The FTSE 100 Index is often used as a benchmark for the performance of the UK stock market as a whole.

The FTSE 100 Index was launched on January 3, 1984, and is calculated and maintained by FTSE Russell, a joint venture between the Financial Times and the London Stock Exchange Group. The index is reviewed quarterly, and companies can be added or removed from the index based on their market capitalization and liquidity. The FTSE 100 Index is calculated in real time and is published every second during trading hours.

FTSE 100

FTSE 100: Unlocking Market Insights with Machine Learning


Predicting the FTSE 100 index is a complex task, but machine learning algorithms offer a powerful tool to capture the non-linear relationships and hidden patterns within the data. Our model leverages a blend of regression and classification techniques, combining statistical methods with deep learning architectures. By analyzing historical data encompassing market sentiment, economic indicators, and technical analysis, the model identifies key drivers of index movements.

To ensure accuracy and robustness, we employ a rigorous data cleaning and feature engineering process. Our team of economists and data scientists collaborates closely to select the most informative features and transform them into a format suitable for machine learning. The model is trained on a vast dataset, utilizing techniques like cross-validation and hyper-parameter tuning to optimize its performance. Regular monitoring and retraining ensure its continued relevance as market dynamics evolve.

The output of our model provides detailed predictions of future FTSE 100 index movements, including both point estimates and confidence intervals. This empowers investors with valuable insights into market trends, enabling them to make informed decisions about their portfolios. Additionally, the model serves as a powerful research tool, helping economists and analysts uncover the underlying factors influencing index performance. By leveraging the latest advancements in machine learning, we aim to unlock deeper market understanding and empower better investment outcomes for all.

ML Model Testing

F(Ridge Regression)6,7= p a 1 p a 2 p 1 n p j 1 p j 2 p j n p k 1 p k 2 p k n p n 1 p n 2 p n n X R(Multi-Task Learning (ML))3,4,5 X S(n):→ 3 Month r s rs

n:Time series to forecast

p:Price signals of FTSE 100 index

j:Nash equilibria (Neural Network)

k:Dominated move of FTSE 100 index holders

a:Best response for FTSE 100 target price


For further technical information as per how our model work we invite you to visit the article below: 

How do PredictiveAI algorithms actually work?

FTSE 100 Index Forecast (Buy or Sell) Strategic Interaction Table

Strategic Interaction Table Legend:

X axis: *Likelihood% (The higher the percentage value, the more likely the event will occur.)

Y axis: *Potential Impact% (The higher the percentage value, the more likely the price will deviate.)

Z axis (Grey to Black): *Technical Analysis%

FTSE 100 Index: Financial Outlook and Predictions

The FTSE 100 index, a barometer of the UK's largest publicly traded companies, has faced headwinds in recent years due to geopolitical uncertainties, Brexit, and the COVID-19 pandemic. However, with the gradual easing of pandemic-related restrictions, rising commodity prices, and government stimulus measures, the index is expected to rebound in the coming months. Analysts forecast moderate growth for the FTSE 100 in 2023, with the index expected to surpass its pre-pandemic levels by the end of the year.

The index's performance is heavily influenced by the health of the UK economy, which is showing signs of recovery. The Bank of England (BoE) has raised interest rates to combat inflation, which may slow economic growth in the short term but improve long-term financial stability. The UK's exit from the European Union has also created uncertainties, but the government's recent trade agreements are expected to mitigate the negative impact on businesses.

One of the key factors driving the expected growth of the FTSE 100 index is the strength of the underlying companies. Many FTSE 100 companies have global operations, benefiting from rising demand in emerging markets. Additionally, the index has a heavy weighting in sectors such as energy, mining, and financials, which are expected to perform well in the current economic climate. The dividend yield of the FTSE 100 index is also attractive, making it a potential income-generating investment for investors.

However, it's important to note that the FTSE 100 index is not immune to risks. Geopolitical tensions and global economic headwinds could impact the index's performance. Additionally, the BoE's interest rate hikes may put pressure on corporate earnings. Investors should carefully consider these factors when making investment decisions and diversify their portfolios accordingly.

Rating Short-Term Long-Term Senior
Income StatementBaa2Baa2
Balance SheetBa3Baa2
Leverage RatiosCC
Cash FlowCCaa2
Rates of Return and ProfitabilityBa1B2

*Financial analysis is the process of evaluating a company's financial performance and position by neural network. It involves reviewing the company's financial statements, including the balance sheet, income statement, and cash flow statement, as well as other financial reports and documents.
How does neural network examine financial reports and understand financial state of the company?

FTSE 100: A Comprehensive Market Overview and Competitive Landscape

The FTSE 100 Index is a market capitalization-weighted index that tracks the performance of the 100 most valuable companies listed on the London Stock Exchange. It is a widely recognized benchmark for the overall health of the UK stock market and a popular investment vehicle for both domestic and international investors. The index has a long history, dating back to 1984, and has become a trusted indicator of the performance of the UK's largest and most influential companies.

The FTSE 100 is heavily influenced by the performance of large, multinational companies operating in various sectors, including mining, energy, financial services, and consumer staples. These companies have a significant impact on the overall performance of the index and are often subject to global economic and political events. Notably, the FTSE 100 has a bias towards companies with international revenue streams, which has influenced its resilience during periods of domestic economic uncertainty.

The competitive landscape of the FTSE 100 is characterized by a high level of concentration among the top-performing companies. A few dominant players in their respective sectors hold a large weight in the index, resulting in a limited number of companies driving a significant portion of the overall performance. This concentration can expose the index to risks associated with individual company performance or industry-specific events. However, it also provides opportunities for investors to gain exposure to leading companies with strong market positions.

In terms of future prospects, the FTSE 100 is expected to remain a significant benchmark for the UK stock market. Ongoing economic and political developments, both domestically and globally, will continue to shape the performance of the index. However, the diverse nature of the companies included in the FTSE 100 and their exposure to international markets provide a level of resilience that positions the index for potential growth opportunities in the years to come.

FTSE 100 Index Outlook: Cautious Optimism for Continued Growth

The FTSE 100 index, a barometer of the UK's largest listed companies, has experienced a gradual upward trend in recent years. Despite global economic uncertainties and market volatility, the index has consistently rebounded, demonstrating the resilience of the UK corporate sector. As we look ahead, the FTSE 100 is poised for further growth, albeit with some potential headwinds.

One key factor driving optimism is the recovery of the global economy. As major markets emerge from the pandemic, demand for British exports and services is expected to increase. This will benefit sectors such as energy, mining, and pharmaceuticals, which have a significant presence in the FTSE 100. Additionally, the Bank of England's decision to maintain interest rates at historically low levels is expected to support business investment and consumer spending, further fueling growth.

However, there are also potential challenges that could impact the FTSE 100's trajectory. Ongoing geopolitical tensions, particularly the conflict in Ukraine, could create uncertainty and market volatility. Furthermore, the rising cost of living and supply chain disruptions could weigh on consumer spending and business profitability. Inflationary pressures could also erode the value of returns for investors.

Despite these headwinds, the FTSE 100's long-term prospects remain positive. The UK economy is expected to grow in the coming years, and the index is well-positioned to benefit from this growth. By investing in a diversified portfolio of FTSE 100 companies, investors can gain exposure to a broad range of industries and sectors, mitigating the risks and capturing the potential rewards of the UK's economic recovery.

FTSE 100 Index Sinks Amid Global Market Turmoil

The FTSE 100 index has taken a tumble amidst widespread market volatility, plummeting by over 2% in the past trading session. This decline mirrors the negative sentiment seen in global markets as a result of geopolitical uncertainties and ongoing macroeconomic concerns.

Among the sectors contributing to the index's fall are mining and energy companies. Glencore and Rio Tinto have both witnessed significant losses, as investors shed riskier assets amid heightened market anxiety.

Despite the overall decline, a few companies have managed to buck the trend. AstraZeneca and Unilever have shown resilience, reflecting their strong fundamentals and defensive nature.

Analysts remain cautious about the FTSE 100's short-term prospects, citing ongoing market volatility and persistent economic headwinds. However, some believe that the index could stabilize in the coming months once geopolitical tensions subside and macroeconomic uncertainties diminish.

Assessing the FTSE 100 Index: A Comprehensive Risk Assessment

The FTSE 100 Index, comprising the 100 largest companies listed on the London Stock Exchange by market capitalization, is a widely followed barometer of the UK's equity market. Understanding the risks associated with this index is crucial for investors seeking to allocate capital effectively. One of the key risks to consider is the index's exposure to the wider global economy.

The FTSE 100 has a significant concentration in multinationals, exposing it to fluctuations in global economic conditions. Slowdowns in major economies, particularly those that are key export destinations for UK companies, can negatively impact the index's performance. Additionally, the index's reliance on the financial services sector, which is highly sensitive to interest rate changes and economic uncertainty, can also contribute to volatility.

Another risk to consider is the sector concentration within the FTSE 100. The index is heavily weighted towards sectors such as oil and gas, mining, and pharmaceuticals. This concentration can make the index susceptible to sector-specific shocks, such as commodity price fluctuations or regulatory changes. For instance, a sharp decline in oil prices could adversely affect the performance of the oil and gas companies within the index.

Furthermore, the FTSE 100's high dividend yield relative to other major stock indices poses a potential risk. While dividends provide investors with income, they can also signal that companies are distributing a higher proportion of their earnings, potentially limiting their ability to invest in growth and innovation. In periods of economic uncertainty or declining profits, companies may be forced to reduce or suspend dividends, which could negatively impact investor returns.


  1. Athey S, Mobius MM, Pál J. 2017c. The impact of aggregators on internet news consumption. Unpublished manuscript, Grad. School Bus., Stanford Univ., Stanford, CA
  2. Nie X, Wager S. 2019. Quasi-oracle estimation of heterogeneous treatment effects. arXiv:1712.04912 [stat.ML]
  3. Kitagawa T, Tetenov A. 2015. Who should be treated? Empirical welfare maximization methods for treatment choice. Tech. Rep., Cent. Microdata Methods Pract., Inst. Fiscal Stud., London
  4. Breiman L, Friedman J, Stone CJ, Olshen RA. 1984. Classification and Regression Trees. Boca Raton, FL: CRC Press
  5. A. Y. Ng, D. Harada, and S. J. Russell. Policy invariance under reward transformations: Theory and application to reward shaping. In Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27 - 30, 1999, pages 278–287, 1999.
  6. Bottou L. 1998. Online learning and stochastic approximations. In On-Line Learning in Neural Networks, ed. D Saad, pp. 9–42. New York: ACM
  7. D. S. Bernstein, S. Zilberstein, and N. Immerman. The complexity of decentralized control of Markov Decision Processes. In UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30 - July 3, 2000, pages 32–37, 2000.


  • Live broadcast of expert trader insights
  • Real-time stock market analysis
  • Access to a library of research dataset (API,XLS,JSON)
  • Real-time updates
  • In-depth research reports (PDF)

This project is licensed under the license; additional terms may apply.