ACIF + PACF = ZENO AI
Zeno AI: Process Flow Breakdown:
Stage 1: Data Collection and Initial Modeling
Zeno AI pulls in data from three essential sources that directly influence market behavior and token performance:
Telegram Chats Data: More than just scraping messages, Zeno AI digs deep into the mood and sentiments of the community, analyzes public perceptions, and keeps a close eye on team/admin activities. This helps reveal the underlying tone of conversations, whether hype-driven or grounded in facts.
Twitter Posts Data: It’s not just about counting tweets. Zeno AI focuses on influencers posting about the token, gauging their credibility, engagement levels, and the actual impact of their words on the community. This helps filter out noise and zoom in on voices that really matter.
On-Chain Transactions of Token: Blockchain data isn’t just numbers. Zeno AI looks at the number of holders, transaction volume, and other relevant metrics, offering a complete view of how a token is performing on-chain.
Aggregating all this info, the refined data is then passed through the ACIF Model (Advanced Cybernetic Investment Framework), a sophisticated machine learning model that investment giants rely on for initial predictions. The ACIF model offers a solid starting point with 41.7% accuracy, analyzing the token using advanced financial techniques.
Market Standard Tools: Where They Fall Short
Here’s the thing: most investment tools stop here. They take this initial data and push it out to users, assuming that the job is done. This is where Zeno AI breaks away from the pack. Rather than feeding users incomplete and half-baked data, Zeno AI takes things a step further to deliver insights with zero errors.
Stage 2: Zeno AI’s Refinement Process—The Game-Changer
This is where Zeno AI’s unique process kicks in. We don’t settle for good enough. We take the raw output from the ACIF model and put it through our custom-built PACF Model (Partial Autocorrelation Function), which refines the data to a whole new level.
The PACF model sharpens the ACIF results, improving accuracy by about 16% with each iteration.
If the results aren’t spot-on (we’re talking 97.3% accuracy or better), the data is sent back to the ACIF model for another round of analysis. This back-and-forth continues until we’ve hit that zero-error mark.
By the time the process is complete, Zeno AI has transformed rough predictions into actionable insights, with a level of accuracy that stands out in the market.
Stage 3: Delivery through the Zeno dApp—Precision in Your Hands
Once the refinement process is done and we’ve hit our accuracy target, the data is sent to the Zeno dApp (Zero-error Enhanced Neural Orchestration). This dApp serves as the interface where users access and interact with the clean, precise data.
Client-Side Interaction: Users engage with the Zeno dApp to access the refined data and use it to make informed decisions.
User with Accurate Data: The endgame is simple—users get the zero-error data they need to make smart moves in the market.
Zeno AI’s entire data processing and prediction system is broken down into three key stages, each playing a critical role in transforming scattered raw data into refined, highly accurate insights. The key to Zeno AI’s success lies in its zero-error philosophy—no shortcuts, no compromises—just precise data that users can actually rely on.
Last updated
