There have been many misconceptions around on chain analysis, especially about whether it gives real edge or if it is overhyped data dressed in charts.
In this Thread 🧵, I will clarify what on chain analysis platforms are, how they work, and how you can use them in a practical way.
After reading this, you will decide whether on chain analysis deserves a place in your trading or research process.
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Step 4. Measure real profitability across time
Use @Dune Analytics dashboards focused on wallet profit and loss.
Search community dashboards tracking realized gains, token level ROI, and holding periods.
Evaluate performance across at least three dimensions:
Win rate across trades
Average return per position
Drawdown during losing periods
A strong wallet does not avoid losses. A strong wallet controls losses and maintains net growth.
Step 3. Verify raw transaction history
Open wallet address inside @etherscan
Review actual transactions, not summary dashboards.
Look at token swaps, contract interactions, and timing of entries.
You want evidence of skill, not marketing labels.
Check three key signals:
Entry timing
Did wallet enter before large price movement or after momentum started
Exit discipline
Does wallet take profit near peaks or hold through drawdowns
Consistency
Do profitable trades repeat across different market conditions
If profit appears across many trades with structured timing, move forward. If performance depends on one or two large wins, reject wallet.
Step 2. Identify wallet owner or behavior profile
Move shortlisted wallets into @arkham
Check whether wallet links to a known entity such as fund, market maker, insider, or individual trader. Identity matters because behavior patterns differ.
Funds scale positions differently from retail traders.
Insider linked wallets often enter earlier than public participants.
Market makers follow liquidity strategy, not directional trading.
If identity stays unknown, study behavioral pattern instead. Look at frequency of trades, holding duration, and risk tolerance.
Step 1. Start with smart money discovery
Open @nansen_ai
Search sections labeled Smart Money, Top Traders, or High ROI wallets.
These dashboards rank wallets based on realized profit, trading activity, and portfolio growth.
Your goal here: build a shortlist of wallets with consistent gains across multiple trades, not one lucky position.
Focus on wallets showing:
• repeated profitable entries
• active trading history across weeks or months
• exposure to multiple tokens, not one single bet
• position sizing that looks deliberate, not random
Save 5 to 10 wallets for deeper investigation.
The Kaito meta has faded, and you are searching for the next way to earn.
Most people now focus on prediction markets, trading, or both.
If you trade without strong technical analysis skills, copying profitable traders is a practical option.
Copy trading starts with one key step. You need to find and track wallets with proven performance.
This guide walks you through a clear step by step process to help you find your first profitable wallet and evaluate performance before you copy any trade.
Follow the sequence carefully. Treat the process as structured research, not speculation.👇🙂↕️
Just launched a comprehensive @Dune Analytics dashboard for @decimated_game and the $DIO token.
Decimated is a post-apocalyptic survival game on Solana where players fight for resources, complete missions, and earn $DIO tokens through gameplay.
Why build this dashboard?
Transparency matters.
With 1B total supply and 543M circulating, tracking on-chain metrics gives players and investors real visibility into:
⏳Token distribution and holder concentration
⏳Daily active players since game launch
⏳In-game token economy (earned vs spent)
All dashboard ata pulled directly from Solana blockchain.
Check it out: [https://t.co/LqJ4YiIgN2]