In 2026, the crypto market is no longer a "wild west"—but it hasn't become predictable either. Retail traders can no longer rely solely on charts and rumors from Telegram. They compete with algorithmic bots, institutional funds, and analysts who read the blockchain like an open book. It is on-chain analysis that becomes the competitive advantage distinguishing conscious trading from a game of roulette.
Why is this important right now? Because the blockchain is transparent by definition: every transaction, every transfer of tokens between wallets and protocols is available for study. But raw data is useless without interpretation. You need to be able to see beyond millions of transactions the behavior of whales, stablecoin inflows to exchanges, outflows from DeFi pools, and TVL growth. This is the focus of the course "Crypto Trading, DeFi, and Web3 Investments" on the asibiont.com platform.
What is on-chain analysis and why does a trader need it
On-chain analysis is the study of blockchain data to predict price movements and assess market conditions. Unlike technical analysis, which looks at price and volume, on-chain analysis answers the questions "why" and "what's next" based on the actions of real participants.
Key metrics covered in the course:
- TVL (Total Value Locked) — the total value of assets locked in DeFi protocols. Rising TVL indicates capital inflow into the ecosystem, while falling TVL indicates outflow. It's convenient to track TVL on DeFi Llama.
- Stablecoin flows to exchanges — if large amounts of USDT/USDC are transferred to centralized exchanges, this often precedes selling. The reverse outflow is a signal of accumulation.
- Whale activity — tracking wallets with large balances. A sudden movement of tokens from a cold wallet to an exchange may indicate preparation for a dump.
- Token movements from protocols — for example, a mass withdrawal of ETH from staking or from lending pools may indicate a shift in sentiment.
All this data is available through public tools. Dune Analytics allows you to create custom dashboards and SQL queries, DeFi Llama aggregates TVL and protocol yields, and TradingView remains the standard for technical analysis. The course teaches you to connect these tools into a unified decision-making system.
What the course teaches: from metrics to automation
The course program is built around practice. You don't just study theory—you immediately apply knowledge to real data.
Module 1. Fundamentals of crypto trading and blockchain. You learn how exchanges work (Binance, Bybit, OKX), how orders differ, what types of charts and indicators exist in TradingView. You understand what liquidity, slippage, and fees are.
Module 2. Technical and fundamental analysis. You learn to read candlestick patterns, support/resistance levels, use RSI, MACD, Fibonacci levels. At the same time, you master fundamental factors: tokenomics, road map, developer activity.
Module 3. On-chain analytics. The main block. Working with Dune Analytics: writing SQL queries, building dashboards on stablecoin flows, whale activity, protocol TVL. Comparing DeFi protocol yields via DeFi Llama, assessing risks (impermanent loss, smart contract vulnerabilities).
Module 4. DeFi and Web3 investments. Staking, farming, lending/borrowing, liquidity pools. You learn how to earn on interest without actively trading. You study the NFT market, smart contracts, and security: how not to lose funds due to phishing or scams.
Module 5. Risk and portfolio management. Diversification, position sizing, stop-losses, hedging. You learn to calculate risk/reward and keep a trading journal.
Module 6. Trading strategies and automation. Scalping, swing trading, arbitrage. You get acquainted with trading bots: how to set up a simple bot to automate a strategy, which APIs to use, and how to test on historical data.
How learning works on asibiont.com
The asibiont.com platform offers a fundamentally new format: instead of recorded video lessons—personalized text lessons generated by AI for each specific student. The neural network analyzes your starting level, goals, and learning pace, then builds an individual trajectory.
What does this mean in practice? If you're a beginner, the AI will start with the basics: explain what a blockchain and wallet are in simple language, without unnecessary math. If you already trade but want to delve into DeFi, the program will immediately move to complex topics: liquidity pools, yield farming, protocol risks. Complex concepts are explained with examples and analogies, not dry definitions.
Access to lessons is 24/7. You can study at any time, return to materials, ask questions, and get detailed answers. The AI doesn't get tired or annoyed—it adapts to you.
Why AI learning is effective
Traditional courses suffer from averaging: all students receive the same material, regardless of their background. As a result, beginners drown, and experienced ones get bored. AI generation solves this problem:
- Adaptation to level. The neural network determines what you already know and doesn't waste time on repetition.
- Personalization of goals. Want to become a DeFi investor? Focus on protocols and yields. Want to trade actively? More attention to technical analysis and psychology.
- Simple language. AI explains complex concepts (e.g., impermanent loss or MEV bots) through understandable metaphors.
- Practical assignments. After each block, you receive exercises: build a dashboard in Dune, compare pool yields, calculate position risk.
This approach saves time and makes learning truly useful.
Who the course is for
- Beginners who want to enter crypto without losses and don't know where to start.
- Experienced traders who want to master on-chain analytics and DeFi.
- Investors looking for passive income through staking and farming.
- Developers and analysts interested in Web3 and smart contracts.
The course does not require prior programming knowledge, but a basic understanding of finance will be a plus.
Comparison of tools you will master
| Tool | Purpose | What it gives a trader |
|---|---|---|
| TradingView | Technical analysis | Charts, indicators, strategies |
| Dune Analytics | On-chain data | SQL queries, dashboards on whales and flows |
| DeFi Llama | DeFi analytics | TVL, yields, protocol comparison |
| Binance/Bybit/OKX | Trading and data | Orders, order book, API for bots |
These tools are interconnected: a signal from Dune or DeFi Llama is confirmed on the chart in TradingView, and execution happens on the exchange. The course teaches you to build this chain automatically.
Practical example: how an on-chain signal helps in a trade
Imagine: you see in Dune that over the last 24 hours, 50,000 ETH have been transferred to exchanges from wallets that were previously inactive. At the same time, the TVL of a major lending protocol is falling. This could be an early sign of a sell-off. You check the chart in TradingView: the price is approaching resistance. The logical decision is to open a short position or take profit. Without on-chain data, you would only see the price and not understand the reason.
Such cases are analyzed in the course using real historical data.
Start learning today
The crypto market doesn't wait. While some are guessing, others are analyzing the blockchain and earning. The course "Crypto Trading, DeFi, and Web3 Investments" on asibiont.com provides a systematic approach: from basic concepts to strategy automation. You get a personalized program, modern tools, and practical skills that can be applied immediately.
Don't delay—join the training and turn the chaos of the crypto market into a manageable process. Crypto Trading, DeFi, and Web3 Investments — your step towards conscious trading.
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