Stochy: crypto analytics risk desk

We built Stochy because most trading tools answer what is happening, but almost none answer what could happen next in a structured way. The problem is simple: traders are overloaded with charts, signals, and noise, but lack a clear framework for risk, probabilities, and decision-making. You either get raw data or black-box signals. Both are incomplete. So we approached it differently. Stochy is designed as a “market weather system”: 1. What’s happening now → price, volatility, skew, flows 2. What could happen → simulations, probabilities, scenarios 3. What matters → alerts when risk actually changes During development, the biggest shift was moving from “more analytics” to “better decisions.” We removed complexity where it didn’t add value and focused on clarity of outputs, especially for structured products and risk scenarios. Curious how others think about this: Do you rely more on raw data, or do you prefer systems that interpret risk for you?