AnalEyes

AI that deciphers crypto chaos

From data to insight. From signals to strategy.

🔹 The future of trading begins with analysis.

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Project History & Origin

Sometimes, the most complex solutions stem from the simplest questions. I always wanted to understand trading, but kept hitting the same wall: a chaotic flood of information and no structured path forward. Courses, paid training, bold promises — all led my friends to the same result: losses, disappointment, and the feeling that the market is just a casino. But crypto is not roulette. It's a predictable system — if you know where to look for signals.

I started small. I built a basic data collector to at least avoid wasting hours reading charts. The idea was simple: let the system tell me whether it's even worth looking at a coin. The results were mediocre, but this very prototype gave birth to something bigger — the realization of direction.

Today, we're a team united by a common goal: to build a tool that doesn't just analyze the market but helps anyone understand it — even someone who has never traded before. We're not building software — we're building a chance. A chance for those who don't believe in miracles, but believe in analysis. For those who don't want a yacht, but need stability. And we know — this is only the beginning.

A Name with More Than Just a Joke

The name "AnalEyes" was born from a wordplay merging "analyze" and "eyes" — and yes, the cheeky "anal" part too. Sounds silly? Maybe. But that's the point: we deliberately brought into the spotlight what annoys every trader — the very "ass" of crypto nobody wants to face, but that's always there. Unpredictability, pain, losses, stress — we chose to stare it down.

This name is a challenge — to ourselves and the market.

We're not afraid to be odd if it helps us be precise.

We don't mask trading pain — we analyze it.

Philosophy & System Concept

AnalEyes Crypto is not just an analytics system — it's a full ecosystem of intelligent crypto market analysis built on cutting-edge machine learning, adaptive filtering logic, and multi-model data interpretation. The project was created to move beyond classical trading bots, offering traders and analysts a new level of market insight.

It's a platform that analyzes, adapts, predicts, and learns — using a vast stream of metrics, statistics, and market patterns.

Architectural Principles

Modularity

Each component can be scaled or replaced without affecting the system

Adaptivity

Configurations adjust dynamically to market conditions

Intelligence

Decisions are made through multilayer analysis using ML and LLM models

Resilience

The system logs all operations and withstands API or network failures

Multilevel Analysis

From raw data to strategic interpretation via AI

Data Sources

The system aggregates data from leading crypto exchanges, including:

▸Real-time WebSocket streams
▸Historical REST API data
▸Market snapshots
▸Liquidation metrics
▸Open interest, funding rates, and more

Expansion is planned to major CEXs like Bybit, OKX, Kraken, KuCoin, Bitget.

Who is AnalEyes for?

🎯

Beginners

Who want to understand the market, not guess it

📈

Active Traders

Looking for a second opinion, free from emotional bias

🔍

Analysts

Tired of Excel and manual data collection

⚡

Platforms

Seeking plug-and-play AI analytics integration

Intelligent Analysis

Analysis occurs on multiple levels:

📊

Level 1: Data Collection

Metrics collected on 300+ pairs every 5 seconds. Noise filtering and invalid data removal

⚙️

Level 2: Feature Engineering

Generation and normalization of 50+ metrics. Non-linear transformations and Z-score indicators

📈

Level 3: Technical Analysis

RSI, MACD, Bollinger Bands, Stochastic, EMA, VWAP. Spread, depth, volatility, BB width, OI_Z, and more

🤖

Level 4: AI Decision Making

Models: LightGBM, XGBoost, LSTM, GRU. Training based on real signal outcomes. Auto-evaluation of probabilities and confidence scores

Signal generation is not just metric aggregation, but a comprehensive consensus from multiple layers of logic, statistics, and probabilistic reasoning.

Many signals already show real profitability and accuracy, with the focus on expanding the training base and multilayer filtering to reduce false positives.

Key and Unique Metrics

300+

Pairs analyzed every 5 sec

50+

Metrics generated

ML models (LightGBM, LSTM, XGBoost, GRU)

∞

Custom anti-signal logic

Price & Market Metrics:

Volume Z-Score Price % Change Spread % Order Book Depth Liquidation Volumes Realized Volatility Ratio

Technical Indicators:

RSI MACD Stochastic Ichimoku EMA 21/55 BB Width

Advanced:

Order Flow Imbalance (OFI Delta) OI Z-Score Funding Momentum Implied Volatility Rank Market Regime Detector

Uniqueness: some metrics, like OFI Delta or vol_z on lower timeframes, are used not just as visual indicators, but as part of the filtering and training core — something rarely seen in public systems.

A.E. — A Signal from the Past

Once, in the depths of uncertain code — where even comments were full of doubt — he appeared. Uncertain, tiny, yet persistent. His name — A.E. (AnalEyes, to be exact). He didn't know trading. But he knew one thing: he wanted to learn how to see what others missed.

At first, he was just an observer. Watching charts, collecting raw data, getting lost in numbers. He saw red and green candles — and got confused. He made mistakes. Often. But we didn't delete him. We gave him a chance. And he started learning.

He began distinguishing noise from signal. Remembering. Comparing. Building. He learned from failure — every mistake made him stronger. He didn't search for the perfect trade. He searched for meaning in numbers.

Today, A.E. is not just code. He's a new-generation analyst. He knows when to stay silent and when to send a signal that matters. He doesn't shout — but when he speaks, it's worth listening.

We didn't build a bot. We built a voice that speaks the language of the market. And that voice grows sharper every day.

Artificial Intelligence

A multi-model approach is used, including:

▸Grok AI (contextual trend analysis)
▸GPT (logical consensus analysis)

We've applied for access to GPT-0³ to improve complex market structure interpretation.

But our true goal is not to depend on external LLMs forever, but to create:

▸A specialized trading model, trained on our own market data
▸A system capable of not just producing signals but explaining them, learning from user behavior
▸A tool that can make trading transparent and comprehensible, even for beginners

Filtering & Anti-Signals

We are developing an anti-signal module — a component trained on bad signals, mistakes, and false positives. This inverted learning logic strengthens filtering and moves us closer to a self-correcting system.

Also implemented:

▸Adaptive thresholds & scoring, responsive to volatility, market sentiment, and time-of-day
▸Composite Score — a synthetic metric for signal trust
▸Reverse-logic filters, verifying metric compatibility with past market behavior

Stats & Analytics

The system continuously collects metrics on:

▸Signal success rate
▸Individual model behavior
▸API load
▸WebSocket stream health
▸Filtering performance

Also implemented is an intelligent logging system, storing decision paths and rejected scenarios.

📌 As of now:

✓The platform already generates signals in real-time
✓Metrics are collected consistently
✓Initial results include validated signals and a growing training base
✓Users are already benefiting from the integration

AnalEyes — The Road Ahead

AnalEyes Crypto is just the first iteration. Key future directions include:

Beyond crypto

Stocks, ETFs, currencies, derivatives

User-trained models

Traders will build personal AIs via the platform

Closed LLM platform

Specialized in trading — focused on signal explanation and auto-adaptation

AI assistant

Explains, visualizes, teaches, and predicts, offering a full ecosystem of trading understanding

In the future, the platform will enable anyone to:

▸Understand the market
▸Work with a model tailored to them
▸Move from "random trading" to structured, AI-guided decision-making

Join Us

Want to test AnalEyes? Integrate it into your platform? Invest in its future?

AnalEyes is not an algorithm.

It's a mindset.

A tool that doesn't just analyze the market — but adapts to the trader's behavior, learns from it, and enhances their intuition through algorithms.

The system already shows consistent results, evolves daily, tests new methods, and takes step after step toward one goal: to create a smart, adaptive, explainable AI partner for navigating financial markets.