Big update on RialoPredict
Been grinding on this with my partner @Johson_Nguyen and we just hit a major milestone.
A stock prediction platform built on top of Rialo Protocol that combines AI analysis with gamified staking mechanics.
Let me walk you through what we built and why it matters.
The Problem
Most people treat stock trading like gambling. They buy based on gut feeling, Twitter hype, or worse, pure FOMO. No data, no analysis, just vibes.
We wanted to change that. Give retail traders the same kind of tools institutions use, but make it accessible and actually fun to use.
What RialoPredict Does
Two core features live right now:
AI Stock Predictions using real time market data and RialoBot, an AI assistant that answers questions about Rialo and tracks community contributions.
Both are fully functional and ready to deploy once Rialo mainnet launches.
How The AI Works
I use an LSTM model trained on two years of market history to analyze trends and patterns. By looking at the last 60 days of data, the AI predicts whether the price is likely to be bullish, bearish, or neutral based on a 1% movement threshold.
To help with risk management, every prediction comes with a confidence score so users can see how strong the signal actually is.
The tech itself is built on a 3 layer LSTM architecture which ensures the model is actually learning deep market cycles instead of just memorizing numbers.
This project is not meant to be a magic crystal ball but rather a data driven tool to help users make smarter decisions.
The Full Vision (soon rlo)
Here's how the platform economy will work:
Users stake RLO tokens to earn prediction points. Every time you run a prediction, you wager points to boost your score. If your prediction is correct, your points multiply by 1.5x.
Beyond predictions, we're adding swap functionality, cross chain bridge, and missions to help users accumulate more points.
These points convert into rewards. We're talking exclusive NFTs, early access to features, and other perks. Details coming soon but trust me, it's worth stacking points.
RialoBot (The Community Layer)
While building this, we realized we needed a way to connect the community beyond just trading signals.
So we built RialoBot, an AI assistant powered by @JatevoId GLM 4.7 model.
It answers questions about Rialo Protocol and RialoPredict. Think of it as your onchain knowledge base that actually understands context.
It also tracks community contributions. You can search any username and see their region, bio, and total Discord activity. It even scans messages deep to pull real contribution data.
Works in both English and Indonesian because we're building for a global community.
The dashboard shows live stock data from Polygon's @massive_com API. You get previous close, day range, 52 week range, volume, everything you need at a glance.
The prediction interface is clean. Pick your timeframe from 1 day to 1 month, hit predict, wait 30 seconds while the model trains, then boom, you get your signal with confidence score.
The chatbot sits at the bottom of every page. Click to ask questions or check profiles. Super smooth, no friction.
Why This Matters
Rialo is building the infrastructure for real world assets on chain. @rialopredict shows what's possible when you combine that infrastructure with AI and gamification.
We're not just predicting prices. We're creating a system where being right actually rewards you, where learning gets you ahead, and where the community grows together.
This is just the beginning. Once mainnet drops, we're ready to scale.
Shoutout to @Johson_Nguyen for grinding on this with me. Building in public, shipping fast, staying focused.
If you want to see what we're cooking, drop a follow. Updates coming soon.
Try and give feedback:
https://t.co/IZa8Tyjhwb
Let's build something real. gRialo
@RialoHQ@RialoIDN@itachee_x@ericargent31113
We're getting better at building AI agents.
Now we need to get better at controlling them.
Projects focused on permissions, accountability, and access control are going to matter a lot more than people think.
gRialo @RialoHQ
Dario Amodei: AI Policy
> AI is progressing extremely fast, much faster than the policy process was built to handle, and the gap between the two is becoming the central challenge of the technology.
This is why we built https://t.co/P12bb0WAq7
https://t.co/FI4muydS57
a16z calls this the bottleneck for the entire agent economy
non-human identities already outnumber human employees 96 to 1 in financial services
until this is solved, merchants will keep blocking agents at the firewall
Rialo is the infrastructure making it solvable 👀
companies are giving AI agents master keys on day one and wondering why things go wrong
bad access control has already cost billions —
and that was before agents existed
@RialoHQ gRialo
This is huge!
What started as an internal tool for managing agents, now it will enable you & everyone unleash agents securely!
Sign up 👉 https://t.co/P12bb0WAq7
subzero labs built Latch to fix this — powered by @RialoHQ
your API key never leaves Latch, agents get scoped revocable tokens instead, every call is checked against your policy inside attested hardware
think of it as employee access controls but for AI agents
This is huge!
What started as an internal tool for managing agents, now it will enable you & everyone unleash agents securely!
Sign up 👉 https://t.co/P12bb0WAq7
Bad access control has already cost companies billions. Now everyone's deploying agents as their newest employees and handing them all-access master keys on day one.
We're building a better more secure way, powered by @RialoHQ 🧵
👉 https://t.co/cbCIjBK9tH
Most projects ship a whitepaper and call it innovation
rialo is actually building the infrastructure layer
that real financial systems need to run onchain
still early but the tech is genuinely different 👀
@RialoHQ gRialo guyss.
Rethink. Rebuild. Rialo.
Most chains are just fancy databases
@RialoHQ is building something different — a chain that can actually verify real-world data, run private computations, and upgrade itself without going offline
Gauss — validator upgrades happen in the background, no downtime, no coordinated panic
DKG — no single party ever holds a full private key,
signatures only happen when enough shares combine