Nasdaq Index Forecast

Outlook: Nasdaq index is assigned short-term B2 & long-term Ba3 estimated rating.
AUC Score : What is AUC Score?
Short-term Tactic¹ :
Dominant Strategy :
Time series to forecast n: for Weeks²
ML Model Testing : Ensemble Learning (ML)
Hypothesis Testing : Stepwise Regression
Surveillance : Major exchange and OTC

¹Short-term revised.

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

Key Points

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About Nasdaq Index

The Nasdaq Composite is a prominent stock market index that tracks the performance of more than 3,000 common stocks listed on the Nasdaq Stock Market. It is one of the most widely followed indices globally and is particularly representative of the technology sector, as a significant portion of its constituents are technology companies. The Nasdaq Composite's market capitalization-weighted methodology means that larger companies have a greater influence on the index's movement. Its performance is often seen as a bellwether for the health of the technology industry and innovation-driven businesses.

Established in 1971, the Nasdaq Composite has become a crucial benchmark for investors, analysts, and policymakers. It reflects the growth and volatility of companies, especially those in fast-paced industries like software, biotechnology, and telecommunications. While the technology sector dominates, the index also includes companies from various other sectors, offering a broader picture of market trends. Its evolution over the decades mirrors the transformative shifts in the global economy and the increasing importance of technology in modern life.

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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(Ensemble Learning (ML))^3,4,5 X S(n):→ 1 Year $R=\left(\begin{array}{ccc}1& 0& 0\\ 0& 1& 0\\ 0& 0& 1\end{array}\right)$

n:Time series to forecast

p:Price signals of Nasdaq index

j:Nash equilibria (Neural Network)

k:Dominated move of Nasdaq index holders

a:Best response for Nasdaq 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?

Nasdaq 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	B2	Ba3
Income Statement	B3	Caa2
Balance Sheet	Ba3	Caa2
Leverage Ratios	C	Ba1
Cash Flow	B3	Baa2
Rates of Return and Profitability	Ba3	Baa2

*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.
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References

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7. Sutton RS, Barto AG. 1998. Reinforcement Learning: An Introduction. Cambridge, MA: MIT Press