Retail traders finally get institutional-quality alt-data signals, real-time alerts and mock trading for true discipline - See the stocks gaining traction before mainstream coverage - Real-time alerts when sentiment or key data shifts on stocks you track - Understand what drives each signal - Build discipline with Mock Trading: define your thesis, entry and exit before every trade - Learn exactly why you win or lose with auto-logged trade journals - Every signal published with full track record
@trendedge congrats on the launch! Is this oriented towards a specific investment strategy (e.g ETFs)?
@trendedge @austin_heaton
Hey Austin, thanks for the question!
TrendEdge isn't oriented towards any specific investment strategy.
We don't provide strategies or advice.
What we do is give you the data and tools to build your own process. You get alternative data signals (social sentiment, web traffic, hiring trends), AI scores for stocks across multiple exchanges (NYSE, NASDAQ, LSE, Euronext, Xetra), real-time alerts, and mock trading to test your ideas before risking real money.
Whether you're into ETFs, individual stocks, growth, value, or something else entirely, the platform helps you research smarter and build discipline around whatever approach works for you.
Happy to answer any other questions!
Rob
Congrats on the launch!
As someone also working in the financial industry, I appreciate how crucial alternative data has become for investment decision-making.
That said, I’d love it if you could share a bit more detail around update frequency and data latency for your alternative data feeds. One of the big challenges for retail investors is timing: if alt data is only made available after institutional players have already acted on it, there’s a real risk of being run-ahead of in the market. How does TrendEdge handle this? Are there measures to minimize delay, and do you differentiate between true real-time feeds versus aggregated or batched data? How often does the platform refresh its signals, and what sort of lag should users expect relative to the original source? Understanding this more clearly would help retail users better assess how they can leverage these signals in their strategies without unfair disadvantage compared to institutional players.
Thanks again — great to see tools like this becoming more accessible. Looking forward to learning more!
@rmz59
Hi Robert,
Thanks for the thoughtful question - data freshness matters, and it's the right thing to ask.
Update Frequencies:
Price data: 15-minute intervals during market hours
Reddit/social sentiment: Hourly aggregation from multiple subreddits (r/wallstreetbets, r/stocks, r/investing, etc.)
AI predictions & scores: Refreshed daily
Earnings calendar: Daily sync
Our approach:
TrendEdge is built as a learning platform for retail investors - not a tool for millisecond execution. The real value isn't speed; it's helping users understand why certain patterns emerge and what drives stock movements.
Our users test strategies using real alternative data, learn from AI-powered analysis that explains the reasoning behind signals, and build the discipline to become better-informed investors over time. The platform surfaces patterns - like Reddit attention accelerating before price follows - that typically play out over days or weeks, giving plenty of time to research and act thoughtfully.
How TrendEdge helps retail investors:
📊 Test before you invest - paper trade strategies risk-free with real market data
🧠 Understand the "why" - AI analysis explains what's driving each stock, not just "buy/sell"
📈 Spot early signals - see social momentum, volume spikes, and sentiment shifts before they trend
📝 Build trading discipline - document your thesis, track your decisions, learn from outcomes
✅ Transparent track record - we publish our AI prediction accuracy so you can verify results
Happy to dive deeper on any of this. Great to connect with others in the space!
Niall,
CTO TrendEdge