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iPulse AI
AI Stock Picker and Surveillance hub for investors
22 followers
AI Stock Picker and Surveillance hub for investors
22 followers
iPulse AI is a multi-agent AI market intelligence platform for investors. It helps users review Top Picks, asset forecasts, buy/sell ratings, AI advisor reports, risks, drivers, and consensus scoring across stocks and global markets, with transparent reasoning behind every signal.
How does it handle conflicting signals between its own agents when the buy/sell ratings or forecasts disagree on the same asset?
@nuriyetarkay
Great question, Nuriye !
We do not try to make the agents “agree” just to produce a cleaner answer. In iPulse, disagreement is treated as signal, not noise.
Each AI advisor produces its own rating, forecast path, thesis, risks, drivers, and scenario logic. Then the consensus layer looks at more than just the average forecast. It considers direction, magnitude, dispersion between advisors, path volatility, dividend-inclusive return where relevant, and whether the upside clears a reasonable hurdle.
So if one advisor is bullish because the valuation looks attractive, but another is bearish because macro pressure, earnings quality, or risk signals are deteriorating, we keep that tension visible. The more advisors agree on the direction ( Bullish or Bearish) the stronger the consensus score. If there is a big disagreement , which we see for example for stocks like Nvidia or BYD the more Neutral the rating.
That is really the philosophy behind iPulse: not “trust one AI opinion,” but get AI Boardroom to express and vote on the direction freely, just like in a true Boardroom or Senate .
I would really suggest to open any asset page in iPulse (Nvidia for example only requires Free Account Signup and no Paid Subscription) and look at the AI Opinions / advisor reports. The interesting part is often not only the final buy/sell label, but why different agents reached different views.
The consensus scoring on stocks is actually useful and not just hype. Surprised the AI reasoning behind each buy/sell signal felt grounded instead of generic.
@nisa282898
Thanks Nisa, really appreciate that. That was honestly one of the hardest parts to get right.
We didn’t want the score to feel like “AI says buy/sell, just trust it”. The goal is to show where the agents agree, where they disagree, and why the signal is coming out that way.
Still early, so if any reasoning feels too generic or not useful, would love that feedback too. That’s the part we’re tuning the hardest.