If you’ve ever sat down to research a stock and ended up with 14 tabs open, two analysts saying opposite things, a YouTube video shouting at you, and a Telegram group arguing about the same chart, you already know what we want to talk about today.
Our Head of Product, James Mason, recently sat down with TipRanks for a conversation about exactly this. He calls it information density, and we think it’s worth sharing with you, because it shapes how we’re building the platform you trade on.
The real problem isn’t access. It’s making sense of it all.
Retail investors today have access to more information than at any point in history. Analyst calls, news flow, charts, sentiment data, opinions from every corner of the internet. The hard part isn’t finding the data anymore. It’s knowing what matters, where it’s coming from, and what to actually do with it.
As James put it in the interview, the challenge for any trader, new or experienced, is digesting all that information, checking the sources, and figuring out what’s signal and what’s noise fast enough to act on it.
That’s the problem we’ve been solving for you.
Where AI actually helps
We’re not interested in the version of AI that promises to pick winning stocks for you. That’s not what this technology is good at, and it’s not what we’re building toward.
Here’s what it is good at: reading more data than any human could ever process, and pulling out the parts that matter for the decision you’re trying to make right now. That’s the genuinely useful bit, and that’s where we’re investing.
James said it well: the kind of research that used to live inside hedge fund teams is now something we can put in your pocket. That’s what levelling the playing field actually means to us.
What we’ve built, and who we’ve partnered with
We take a two-track approach. Some tools we build ourselves, because they’re core to how NAGA works and we want full control over how they serve you. Others, we bring in through partnerships with industry leaders, because when someone is the best in the world at a specific thing, the right move is to integrate them so you get the best of both worlds, all in one place.
Our partnership with TipRanks is a good example. TipRanks is one of the most respected stock research platforms globally, used by major brokerages and banks across the US, UK, Singapore, and Canada. We’ve integrated their research suite directly into the NAGA platform, so you get institutional-grade tools without leaving your account.
Here’s what that looks like in practice. Each tool is built to answer a specific question:
Is this analyst any good? Analyst Forecasts show you price targets alongside each analyst’s track record, so you can weigh the call by the caller.
What are the big players doing? Hedge Fund Sentiment shows you how professional fund managers are positioning, with an aggregated confidence signal so you can spot consensus moves quickly.
Is sentiment shifting on something I hold? News sentiment and investor sentiment trends track the mood across 7- and 30-day windows so you can see it change before the price does.
Just give me a quick read. Smart Score gives you a 1-to-10 rating on a stock, built from eight market factors: analyst ratings, hedge fund activity, insider transactions, news sentiment, blogger opinions, retail investor sentiment, fundamentals, and technicals. Scan it in seconds. Dig deeper if it earns the time.
Alongside this, you also get advanced charting, AI-powered trade signals, economic data, and technical strategy insights, so when you do decide to act, you’re acting on a more complete picture.
We’re keeping humans in the loop. On purpose.
You’ve probably seen the AI pitches that say “let the bot trade for you.” That’s not us, and we want to be upfront about why.
James was clear about this in the interview, and it reflects how we think across the whole product team: “We don’t want to allow AI to determine all of our decisions. We need guardrails. We need to keep humans in the loop.”
It’s also why social and copy trading sit right alongside the AI research tools in our platform. AI filters the data. Real traders with real, verifiable performance show you what conviction looks like in practice. You stay in charge of the call. We just give you a better view before you make it.
What we’re working on next
The conversation with TipRanks also touched on where this is heading. Soon, AI will help with things like automated portfolio rebalancing, reinvesting dividends, and even looking back at your own past trades so you can learn from them.
Some of that we’ll partner on. Some of it we’ll build ourselves. All of it will ship with the same principle: tools that elevate the way you already trade, not override it.
AI is going to be central to how we evolve over the next year. Not because it’s the buzzword of the moment, but because, used well, it gives you back the time, clarity, and confidence to make better calls on your own terms.
Have a look around your account — most of what we’ve talked about here is already there.
The full conversation between James and the TipRanks team is available here.
