FTSE 100 Index Forecast

Outlook: FTSE 100 index is assigned short-term B3 & long-term B1 estimated rating.
AUC Score : What is AUC Score?
Short-term Tactic¹ :
Dominant Strategy :
Time series to forecast n: for Weeks²
ML Model Testing : Modular Neural Network (Market Direction Analysis)
Hypothesis Testing : Stepwise Regression
Surveillance : Major exchange and OTC

¹Short-term revised.

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

Key Points

The FTSE 100 index is poised for continued upward momentum driven by resilient corporate earnings and a potential easing of inflationary pressures globally. However, this optimistic outlook is not without its risks. A significant risk lies in the persistence of geopolitical tensions which could disrupt supply chains and dampen investor sentiment. Furthermore, an unexpected resurgence in inflation or hawkish monetary policy from major central banks could lead to a sharp correction as higher interest rates impact corporate valuations and consumer spending. Another potential threat is a broader economic slowdown in key trading partner nations, which would negatively affect the export-oriented companies that form a substantial part of the FTSE 100's constituents.

About FTSE 100 Index

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ML Model Testing

F(Stepwise Regression)^6,7= $\begin{array}{cccc}{p}_{\mathrm{a}1}& p_{\mathrm{a}2}& \dots & p_{1n}\\ & ⋮\\ p_{j1}& p_{j2}& \dots & p_{jn}\\ & ⋮\\ p_{k1}& p_{k2}& \dots & p_{kn}\\ & ⋮\\ p_{n1}& p_{n2}& \dots & p_{nn}\end{array}$ X R(Modular Neural Network (Market Direction Analysis))^3,4,5 X S(n):→ 8 Weeks $\overrightarrow{R}=\left(r_1,r_2,r_3\right)$

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 KappaSignal algorithms actually work?

FTSE 100 Index Forecast 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%

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Rating	Short-Term	Long-Term Senior
Outlook	B3	B1
Income Statement	B3	Baa2
Balance Sheet	Caa2	Ba1
Leverage Ratios	Caa2	C
Cash Flow	B3	Caa2
Rates of Return and Profitability	Caa2	B2

*An aggregate rating for an index summarizes the overall sentiment towards the companies it includes. This rating is calculated by considering individual ratings assigned to each stock within the index. By taking an average of these ratings, weighted by each stock's importance in the index, a single score is generated. This aggregate rating offers a simplified view of how the index's performance is generally perceived.
How does neural network examine financial reports and understand financial state of the company?

References

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