SignalWhisper: Congress Trades
AI Chart Trading Analysis
About
Track real-time stock trades made by members of Congress and receive AI-generated trading signals. Analyze stocks, forex, crypto, and commodities with insights into dark pool and options flow. Offers a free tier with daily signals and optional upgrades for premium features.
What's New in SignalWhisper
9.6
July 8, 2026
bug fixes
Subscription plans
Weekly Pro Access
Full access to premium trading signals for 1 week
Developer apps
FAQ
Does SignalWhisper have ads?
Yes, SignalWhisper contains advertisements. As a free app with in-app purchases, advertisements are part of the user experience.
How are congressional trades updated in SignalWhisper?
Congressional trade data is updated within hours of STOCK Act filings. This ensures you receive timely information on what members of Congress are buying and selling.
What types of assets does SignalWhisper cover?
SignalWhisper covers a wide range of assets including stocks and ETFs with specific entry and exit levels, forex pairs, cryptocurrencies like Bitcoin and Ethereum, and commodities such as gold and oil.
Can I try SignalWhisper's premium features before subscribing?
Yes, SignalWhisper offers a 3-day free trial for its Weekly, Monthly, and Yearly Pro Access subscription plans. This allows you to explore premium features before committing.
How do I cancel my SignalWhisper subscription?
You can manage or cancel your subscription anytime through your App Store account settings. Auto-renewal can be turned off at least 24 hours before the end of the current period.
What is the age rating for SignalWhisper?
SignalWhisper has an age rating of 4+. This indicates it is suitable for a broad audience, though its trading features are most relevant to adult users.
How often is SignalWhisper updated?
SignalWhisper was last updated on July 8, 2026, with version 9.6. This indicates a consistent update schedule to improve features and reliability.
What makes SignalWhisper's AI signals unique?
The AI trading signals are generated by a machine learning engine that analyzes over 50 data sources, including price action, volume, sentiment, and institutional flow, to identify high-probability trading opportunities.