We believe that by leveraging transparent blockchain data, AI can forecast crypto market movements. We harness Recurrent Neural Networks(RNNs) and machine learning techniques to analyze real-time technical indicators such as Price, Volume, EMA, RSI, MACD, and Stochastic Oscillator. By continuously refining hyperparameters through a Bayesian optimization feedback loop, we aim to provide reliable crypto predictions.
We rigorously backtested our AI's performance using hourly crypto time series data spanning three years, from Jan 2020 to Dec 2022. The results were outstanding, with a return of 24,510% for Bitcoin and 15,162% for Ethereum. These remarkable figures highlight the potential of our predictive models to generate substantial returns in the crypto market.
Interview
Petar Vojinovic | Published on: July 1, 2025
In today’s interview for SafetyDetectives, we spoke with Satoshi, CEO of CryptoWeather.xyz, about how his team is transforming the turbulent crypto landscape into clear, AI-powered forecasts – combining complexity science, machine learning, and a weather-inspired interface to help users trade smarter, safer, and faster.
It began with a simple but powerful question: If crypto markets are powered by real-time, on-chain data and open networks — could we actually predict them more effectively than traditional finance?
Most people dismissed the idea. Too chaotic. Too volatile. Too unpredictable. But in that chaos, we saw a pattern — and a possibility.
Crypto markets behave like complex adaptive systems, driven by millions of micro-signals: price actions, wallet flows, social sentiment, protocol updates — all shifting in real-time. In many ways, it resembled another notoriously unpredictable system: the weather. That’s when it clicked.
What if we applied AI-powered modeling and predictive analytics to the crypto space, the same way meteorologists forecast storms? What if your next Web3 investment signal came like a weather update — visual, intuitive, constantly refreshed, and powered by data science? So we created CryptoWeather — not just as a tool, but as a Web3-native forecasting experience.Beneath the surface, it leverages machine learning, complexity science, and real-time blockchain analytics to model market conditions. On the surface, it’s as simple as checking the weather. No jargon. No friction. Just AI-driven signal clarity — when and where you need it.
CryptoWeather gives you an easy way to read the crypto market before trading — like checking the weather before stepping outside.
Right now, we cover Bitcoin and Ethereum. Our AI analyzes live price charts using technical indicators and gives you a simple forecast: “Sunny” when the price looks strong, “Cloudy” when the outlook is weak. Each signal also includes how confident the AI is, shown as a percentage — so you know exactly what it’s seeing, and how strongly it believes in the move. We also show the current position and performance of our AI robo-advisor — so you’re not just getting opinions, you’re seeing what the AI is actually doing in real time. Signals refresh every hour based on the latest market data, and updates are pushed instantly across platforms like X, Threads, Discord, Telegram, and Farcaster — so you’re always in the loop, wherever you are. And for users who want to go deeper, we created Squirrel Scouts — a mini-app on Telegram and Farcaster. It lets anyone collect Credits and train their own AI agent (AGI). You can test its performance, fine-tune its logic, and receive personalized real-time signals. It’s like having your own mini robo-advisor that evolves with you. At the end of the day, our goal is simple: Give everyone a smarter, friendlier way to follow the market — with an interface as intuitive as your favorite weather app.
At CryptoWeather, we believe that in the age of AI, precision isn’t optional — it’s everything. Our trading signals are powered by a recurrent neural network (RNN), specifically designed to analyze sequential market data — identifying subtle shifts in momentum, volatility, and trend formation over time. This architecture excels at pattern recognition across time-series inputs, making it ideal for forecasting the ever-changing crypto landscape. But architecture alone doesn’t create intelligence — tuning does. That’s where Bayesian optimization comes in. During development, we applied it to perform rigorous hyper parameter optimization — selecting the ideal configuration of learning rates, layer sizes, and memory units. This process allowed our RNN to be trained not just harder, but smarter. The result is an AI model that’s been intelligently tuned to the heartbeat of crypto markets — a system that continuously produces hourly signals based on a deep, time-aware understanding of price behavior. In a world flooded with noise, we built something that listens — and learns. That’s the future of algorithmic forecasting.
The best way to protect user data? We don’t collect any. (laughs) At CryptoWeather, we’ve built a platform that requires no user accounts, no logins, and collects zero personal information. Our focus is singular: delivering AI-generated crypto signals, hour by hour, with total simplicity and transparency. Under the hood, our architecture is designed for security through separation. The AI models are trained on dedicated, secure servers, completely isolated from any user-facing infrastructure. Once the models are trained, the signal data they generate is stored and distributed via independent backend systems, ensuring integrity and consistency from training to delivery. In an era defined by artificial intelligence and blockchain innovation, we believe system design should reflect the same principles: decentralization, minimal exposure, and trust through architecture — not just policy. This is how we approach cybersecurity at CryptoWeather: not as an afterthought, but as an invisible strength built into every layer.
Most crypto platforms build features first and then scramble to protect them. At CryptoWeather, we did the opposite. From day one, we designed the system as if it were under attack — because in crypto, it always is. To guard against threats like phishing, API abuse, and data tampering, we separate the entire system into independent trust zones. The frontend is purely for display — it has zero write access. The backend handles data delivery, but never touches signal generation. And the AI engines and signal generation servers live in secure, isolated environments — unreachable by any external API or public interface. This separation makes phishing irrelevant. Even if someone spoofed our UI, there’s nothing for them to steal — no logins, no user funds, no API keys. Each signal is distributed simultaneously across multiple independent channels. This cross-channel redundancy acts as a consensus mechanism: if discrepancies are detected, the system automatically reconciles them, ensuring consistency and integrity — much like the longest-chain principle in blockchain prevents fraud. We don’t just react to crypto-native threats. We design as if they’re inevitable — and that’s why CryptoWeather stays resilient, even when the weather gets stormy.
“When it comes to trading decisions, our job is to inform — not to interfere.” CryptoWeather delivers AI-driven crypto intelligence that’s radically transparent, non-custodial, and fair by design. Our signals are published hourly, and everyone — from a beginner to a whale — sees the same data at the same time. That may sound obvious, but in today’s market, it’s not. Too many platforms gatekeep insights behind paywalls or offer tiered signals depending on your subscription level. That creates an unequal playing field — and in crypto, timing is everything. We do the opposite. CryptoWeather’s signals are trustless: they’re generated by secure AI engines, published publicly, and available in real time to all users equally. This isn’t just fair — it’s verifiable. As for automated trading? We don’t offer it — and that’s intentional. We never ask for API keys, custody, or user data. Your wallet is your business. Security, for us, means giving users control, not taking it away. Our philosophy is simple: You keep your keys. You keep your data. You make your decisions. Our AI reads the market for you.