Your inputs—asset symbol, economic indicators, asset class, time frame—feed an AI model that blends macro data with price trends, then returns a long-term outlook in seconds. World Bank reports the global GDP growth rate averaged 3.1 % from 2011-2021 (World Bank, 2023).
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How to use the tool
Asset field: Enter a symbol or name—e.g., TSLA (Tesla) or XAUUSD (spot gold).
Key economic indicators: Paste concise data such as “GDP Growth 3.4 %, Inflation 5.1 %” or “Fed Funds Rate 5.25 %, PMI 52.0.”
Asset class: Define the category—Green Bonds or Commodities.
Time frame (optional): Add horizons like “6 years” or “20 years.”
Additional considerations (optional): Note factors such as “EV tax credits” or “monsoon risk on crops.”
Generate Analysis: Click the button; review the narrative, download or copy it for your strategy file.
Update annually or after major economic shifts so the model reflects fresh macro data (IMF World Economic Outlook, 2023).
Can the tool guarantee returns?
No. It offers probabilistic forecasts; investment outcomes depend on market behavior (SEC “Investing Basics” guide).
Does it support international assets?
Yes. Enter foreign symbols and country-specific indicators; the engine references OECD and World Bank datasets automatically.
What datasets feed the model?
Price history from Refinitiv, macro series from FRED, and news sentiment via GDELT (dataset documentation, 2023).
How are conflicting indicators handled?
The model applies a gradient boosting ensemble to weight indicators; high-volatility metrics receive lower scores (Chen & Guestrin, 2016).
Is the output exportable?
Yes. Use “Copy to Clipboard” or the API endpoint /export?report_id= to retrieve JSON.
What security measures protect your data?
Transport Layer Security 1.3 encrypts every request; logs purge after 30 days (NIST SP 800-52r2).
Expert quote on long-term analysis
“Combining macro trends with technical signals improves forecast accuracy by up to 15 %” (JP Morgan Quantitative Research, 2022).
Important Disclaimer
The calculations, results, and content provided by our tools are not guaranteed to be accurate, complete, or reliable. Users are responsible for verifying and interpreting the results. Our content and tools may contain errors, biases, or inconsistencies. We reserve the right to save inputs and outputs from our tools for the purposes of error debugging, bias identification, and performance improvement. External companies providing AI models used in our tools may also save and process data in accordance with their own policies. By using our tools, you consent to this data collection and processing. We reserve the right to limit the usage of our tools based on current usability factors. By using our tools, you acknowledge that you have read, understood, and agreed to this disclaimer. You accept the inherent risks and limitations associated with the use of our tools and services.
