Global Equity Indices

Our forecasts provide data-driven insights into major global equity indices, identifying trends and opportunities over a three-month horizon. Using a blend of quantitative analysis and market intelligence, we deliver actionable forecasts designed to enhance portfolio positioning, optimize risk management, and improve returns.

Frequency: Monthly; Prediction timeframe: 3 months

Updated: 3rd Feb 2025

Membership Required

You must be a member to access this content.

View Membership Levels

Already a member? Log in here

Indicator Information:

Fundamental = Score out of 10 for the intrinsic value of the asset using various economic, accounting, operational and market data sources.

Technical = Score out of 10 for the predicted future price action based on historical price data, volume and expected statistical trends.

Forums Sentiment Aggregator = Score out of 10 for the recommendations and optimism in the particular asset or security as surveyed with a select list of exclusive stock market trading forums, research platforms, communities and sophisticated trader networks.

Quant Signals Aggregator = Score out of 10 for the optimism and bullish sentiment in the particular asset as gauged from the aggregate signals and ratings from major quantitative machine-learning based trading signal providers.

Top-Rated Analyst Consensus = A consensus rating of some of the top analysts, investors and experts from their holdings and recommendations.

Hedge Fund Activity = The level of bullish activity in the asset determined from analysis of holdings of top hedge funds and quantitative investment funds.

Overall AI = AI generated and proprietary formulated score out of 10 for investment rating of the asset considering all data and analysis.

Risk = Level of Risk in the asset based on the factors that can impact the performance and stability of assets, such as market volatility and economic conditions.Probability of Positive Return = Gives the percentage chance that the performance is net positive (avoids a loss) over the forecast horizon. Based on the probabilities of similar predictions based on historical data in back-tested models for the asset.

Scroll to Top