The behavioral encyclopedia of on-chain trading
Wallet analysis, personality archetypes, risk patterns and chain forensics, every article grounded in public ledger data and tied to the SIGBOT engine.
Reading your own wallet: what your history says about you
You think you know how you trade. The data knows differently. Here is what analyzing your own address teaches about your real behavior.
Reading Solana launch activity: from launchpad to loudspeaker
Solana launch activity is the densest behavioral event in crypto. A guide to reading the wallets, the waves and the wash behind every launch.
From anonymous to accountable: the case for behavioral accountability
Addresses are anonymous, but their behavior is not. Why behavioral accountability matters for trust, partnerships and a healthier ecosystem.
Tracking hype: when a wallet is trading "the event"
Macro events create measurable behavioral waves, new wallets, coordinated buying, sudden risk-on shifts. Analysis reads the reaction, not the headline.
Wallet due diligence: evaluating a counterparty before you transact
Before you send money to an address, you can know a lot about how it behaves. A practical due-diligence checklist using public on-chain analysis.
Sybil attacks: how farming accounts are detected and analyzed
Airdrop farming, governance rigging, review manipulation, sybil networks manufacture identity at scale. Here is how cluster analysis exposes them.
Ethereum vs Solana: how wallet behavior differs by chain
The same person trades differently on Ethereum and Solana, fees, culture and liquidity shape behavior. A field comparison of on-chain behavior across chains.
Solana wallet analysis: a practical guide
Solana's high throughput and low fees change the behavioral picture. Here is how wallet analysis works on Solana and where the patterns differ from Ethereum.
Sell walls and liquidity: what order flow can tell you
Large orders shape markets, and the wallets behind them are visible. Analyzing order-side behavior reveals where resistance and support actually live.
A beginner's guide to reading public ledgers
Every transaction is a public record, if you know how to read it. A field guide to transactions, counterparties, contracts and the stories they tell.
Degen level: measuring the risk-chasing index
Everyone uses "degen" loosely. On-chain analysis defines it precisely, a measurable index of risk-chasing behavior across tokens, chains and protocols.
The Casino Trader profile: high stakes, high frequency
The extreme end of the risk spectrum. Casino Traders bet big, rotate fast, and leave a distinct behavioral trail. Here is what the data shows.
On-chain funding tracing: following the money
From first money to exchange withdrawal to mixer hops, a practical guide to following funds across the public ledger without crossing legal lines.
Stablecoin flows as a market signal
Stablecoins are dry powder. Tracking their movement into and out of wallets and exchanges reveals risk appetite shifting before prices move.
Activity heatmaps: what trading at 3am actually means
When a wallet trades says almost as much as how much it trades. Hour-of-day patterns reveal automation, global traders, and emotional night trading.
Portfolio risk: how concentration and diversification are scored
A wallet's risk is shaped by more than trading style, the portfolio itself carries risk. Here is how concentration, asset mix and stablecoin ratio are measured.
Conviction and holding time: patience as a metric
Holding time is one of the most predictive on-chain behaviors. Here is how conviction is measured from holding windows, sell pressure and re-buy patterns.
Tracking whales and smart money on-chain
Whale wallets move markets and smart money moves before headlines. Wallet analysis makes both trackable, the challenge is reading them without overfitting.
Spotting bot wallets and automated trading accounts
Bots trade differently from humans, unnaturally even timing, no sleep, mechanical sizing. Here is how on-chain patterns expose automated wallets.
The 40 behavioral metrics behind every analysis
Behind every wallet report is a family of 40 behavioral metrics spanning holdings, timing, interaction and network context. Here is the full map, and what each family actually measures.
Trading signatures: the behavioral fingerprint of a wallet
Style, asset rhythm, decision pulse, every wallet has a unique trading signature. Here is how it is computed and why it is the closest thing to a behavioral fingerprint.
Risk appetite scoring: from conservative to casino
How do you score how much risk a wallet actually takes? Position sizing, drawdown behavior, holding time and frequency all feed a single explainable risk axis.
Funding sources: tracing where a wallet's first money came from
The first deposit into a wallet is the origin story of the address. Tracing funding sources reveals exchange links, laundering patterns, and whether an address was factory-made.
Wash trading: how fake volume is detected on-chain
Fake volume pumps a token's narrative. But wash trading is hard to hide on-chain, self-trades and circular rings leave a permanent trace. Here is how it shows up.
How to spot a rug pull before it happens
Rug pulls leave behavioral signatures long before the final exit. Here is how wallet analysis surfaces the warning signs, early, and from public data alone.
Diamond Hands vs Degen: what your holding behavior reveals
Two opposing on-chain archetypes, the patient accumulator and the rapid-rotation risk taker. Here is how their behavior differs in the data, and why neither is "better".
The 14 wallet personalities, explained
We grouped on-chain behavior into 14 recognizable trading personalities, from Diamond Hands to Casino Trader. Here is how each one is defined and what it says about risk.
What is on-chain wallet analysis?
On-chain wallet analysis reads public transaction history to understand how an address actually behaves, not what it claims to be. Here is the mental model, the data, and where it falls short.