Onchain wallets analysis tutorials

The wallet tutorials section covers the full spectrum of ArbitrageScanner's on-chain analytical tools with step-by-step instructions. Theory: Wallet Analysis — fundamental guide to analyzing any crypto address with interpretation of all metrics. Theory: Mass Wallet Analysis — methodology for simultaneous analysis of dozens of wallets. Collections Guide — how to use ready-made collections of funds, market makers, and celebrity wallets. My Collections & Subscriptions — creating personal collections and setting up transaction notifications. Each tutorial contains video demonstration and text version with screenshots.

The 'Theory: Wallet Analysis' tutorial details the meaning of each metric. PnL shows absolute profit/loss in USD — look at dynamics by period, not just the final number. Winrate — percentage of profitable trades; professionals usually have 60-80%, but a whale with 40% Winrate can be more profitable than a trader with 70% due to successful position size. ROI per token helps understand specialization. Volume shows operation scale and activity. Critical to analyze metrics in context.

Tutorials offer proven strategies: For insiders — select a token that grew 100%+, set purchase period 7-30 days before growth, minimum PnL from $50,000+, Winrate >60%. For systematic traders — select popular token (ETH, BTC), set wide time period (3-6 months), filter by high ROI (>50%) and trade count (>20). Tutorials show dozens of real examples with result interpretation.

The 'My Collections & Subscriptions' tutorial explains step by step. After finding an interesting wallet, add it to 'My Subscriptions'. Configure notification parameters: transaction types, minimum USD amount, specific tokens, blockchains to track. Create a dedicated Telegram channel for subscriptions of a specific category. Tutorial includes optimal setting presets for different monitoring goals.

The 'Theory: Mass Wallet Analysis' tutorial reveals a powerful group analytics tool. Mass analysis allows loading 50-1000 addresses simultaneously: identifying common tokens traded by most addresses, comparing effectiveness metrics, temporal analysis of synchronized accumulation, detecting clusters of related addresses through transaction overlaps, data export for further analysis. Practical examples show how users discovered insider networks and profited.

AI search is used when: you found one successful wallet and want more traders with similar strategy, need to scale monitoring list without manual searching, want to discover hidden connections — AI finds similar wallets even without direct transactions, studying a specific strategy through analysis of multiple addresses. AI analyzes 272 criteria: portfolio composition, trade timing patterns, risk profile, protocols used, correlation with known addresses.

The section contains not only technical instructions but fundamental educational materials. Crypto basics guides: private and public keys, HD wallets, custodial vs non-custodial solutions. Popular wallet reviews: detailed MetaMask setup instructions. Understanding blockchain bridges: cross-network asset transfer technology. DeFi concepts for understanding analyzed wallet transactions: staking, yield farming, liquidity provision. These are critical for proper interpretation of analyzed address activity.