—— Use on-chain data to beat 90% of blind operators
Making money in Web3 relies more on data than luck. While playing NFT or doing DeFi, some chase prices based on feelings, while others strike accurately based on data, leading to vastly different outcomes. Chainbase's data analysis tools have already become the 'secret weapon' of experts, with over 8000 projects using its on-chain data to optimize strategies. This article dissects 6 directly applicable data techniques for NFT players and DeFi users, helping you enhance your profit efficiency with data.
1. 3 data arbitrage techniques for NFT players
1. Warning signals before floor price crashes
90% of NFTs that are stuck are due to not understanding selling signals; use Chainbase's 'Whale Tracking' feature to avoid risks in advance:
Key indicators: Monitor transfer behaviors of the top 10 wallets by holdings; when 2 or more large whale wallets execute bulk transfers (5 or more at once) within 3 days, and they flow to exchange addresses, it often indicates a precursor to a floor price drop;
Practical steps: Enter the NFT contract address in Explorer Pro → Go to 'Holder Analysis' panel → Filter wallets with holdings > 10 → Enable 'large transfer alerts' → When warning signals are triggered, decisively take profits;
Case effect: A BAYC player used this strategy to successfully offload before the floor price dropped from 80ETH to 60ETH in July 2025, avoiding a loss of 2.5ETH (about $5,000).
2. The value mining formula for obscure NFTs
Use data to discover undervalued potential NFTs, which are easier to double profits than chasing hot projects:
Filtering dimensions: Call the 'NFT Fundamental Dataset' in Dataset Hub and set the filtering criteria:
Number of holders > 500 (community base);
30-day turnover rate > 20% (indicating liquidity);
Floor price <0.5ETH but average price rise over the past 7 days > 15% (valuation low point);
No large whale holdings (to avoid dumping risks);
Tool support: Use Explorer Pro's 'Similar Collection' feature to compare market capitalization rankings of similar NFTs and identify targets with market values below the average by 30%;
Practical results: Community players used this formula to discover a certain PFP series, buying in when the floor price was 0.3ETH, and 3 weeks later, due to positive news from the project team, it soared to 1.2ETH, yielding 300%.
3. The art of data analysis for whitelist qualification
Don't blindly refresh to grab NFT whitelists; use data to lock in high-probability projects:
Analysis logic: Call the 'Project Activity API' in API Studio and filter for the past 3 months:
Frequent interactions between official wallets and KOL wallets (collaboration preheating);
Testnet interaction addresses > 10,000 (community heat);
Financing wallet has records of transfers from well-known VCs (potential positive signal);
Operational tips: Find projects that meet the above conditions on Discord, and focus on participating in whitelist activities that require 'on-chain interaction records'; using interaction screenshots exported from Chainbase can increase approval rates by 60%;
Yield comparison: The whitelist signing rate for ordinary users is about 5%, while the signing rate for users who filter projects with data reaches 25%, with a profit of over $200 from a single whitelist qualification transfer.
2. 3 data profit strategies for DeFi users
1. Optimal choice formula for liquidity mining
Avoid losses from mining and selling, use data to find 'high APY + low impermanent loss' golden mining pools:
Core indicators: In Chainbase's 'DeFi Analytics' panel, calculate 'actual yield = APY - impermanent loss risk coefficient', with the risk coefficient assessed using the following data:
Price volatility of trading pairs over the past 30 days < 15%;
Liquidity pool depth > $1 million;
Protocol TVL has increased for 3 consecutive weeks;
Practical tools: Use the 'Yield Optimizer' feature, input principal and risk tolerance, and automatically recommend the optimal mining pool combination;
Case data: A user compared Aave V3 (APY 5%, volatility 8%) and Curve (APY 8%, volatility 25%), choosing the former and achieving a monthly actual yield exceeding that of the high-risk mining pool by 2.3%.
2. Capturing arbitrage opportunities in lending liquidation
Capture liquidation arbitrage opportunities with real-time data for low-risk, stable profits:
Monitoring logic: Call the 'Liquidation Alert API' in API Studio and set warning conditions:
Pledge rate > 1.15 (close to the liquidation line);
Collateral assets are mainstream coins like ETH/BTC (easy to liquidate);
Liquidation rewards > 5%;
Execution steps: After the warning is triggered, use Chainbase's 'Gas Tracker' to check real-time gas fees, and quickly participate in liquidation when gas is below 30gwei;
Yield situation: Skilled users can capture 5-10 liquidation opportunities per month, with single arbitrage yields of 0.5%-2%, and annualized returns stabilizing at 15%-30%.
3. Analysis of signals for new coin launches
Avoid new coin listing traps by using data to judge post-listing trends:
Pre-sale data analysis: Check through 'Token Sale Tracker':
Private placement round price and public round price difference < 2 times (no selling pressure risk);
Institutional investor proportion > 60% (long-term lock-up);
Pre-sale wallet address dispersion > 80% (not controlled by a single large holder);
On-chain preheating data: In the 3 days before launch, if the official contract interaction address increases by >5000, and the transfer amount is concentrated between 0.1-1ETH (indicating real retail participation), the probability of a price increase after launch reaches 75%;
Practical case: A user analyzed the pre-sale data of a new coin, judged it met the conditions for a price increase, bought in at $0.2 after launch, and saw it rise to $0.5 within 3 days, yielding 150%.
3. A combination of cross-track universal data tools
1. Multi-chain data aggregation dashboard
Simultaneously monitor global data for both NFT and DeFi, not missing any opportunities:
Custom panel settings: Add modules in the Chainbase Dashboard:
Real-time floor price + trading volume of key NFT series;
Real-time updates on the APY of commonly used DeFi mining pools;
Risk warnings for held assets (e.g., pledge rate, liquidation price);
Monitor real-time transfer alerts for wallets;
Efficiency improvement: Transitioning from switching between 5 platforms to grasping data on 1 panel saves 2 hours daily.
2. Data export and Excel analysis template
Deep analysis essential skills, using data to validate intuition:
Export dimensions: In Explorer Pro, export the following data to Excel:
NFT: Daily transaction prices, holder changes, and whale operation records over the past 30 days;
DeFi: Mining pool inflow and outflow, number of new users, fee income;
Analysis template: Use the Excel template shared by the Chainbase community to automate calculations:
The 'value deviation index' of NFT = (current floor price / 30-day average) - 1;
The 'fund heat index' for DeFi = net inflow over the past 7 days / total locked amount;
Decision application: Buy when the NFT value deviates from the index <-0.2, sell when >0.3; be cautious of pullbacks when the DeFi fund heat index > 0.15.
4. Avoiding pitfalls upgrade: 3 data traps for advanced players to avoid
False trading volume identification: If an NFT project sees a sudden 10-fold increase in daily trading volume without a change in the number of holders, it may be a 'left hand to right hand' wash trade, which can be automatically flagged using the 'Transaction Anomaly Detection' feature;
API call cost control: Enable 'cache mode' when making bulk queries to save 60% on API call counts for repeated data queries, avoiding exhaustion of free quotas;
Data latency response: Layer 2 chains (e.g., Base) confirm data quickly but occasionally roll back; when doing high-frequency trading, set 'confirmation block count = 2' in API parameters to ensure data finality.
Conclusion: Poor data equates to poor profits
In the same market, some see price fluctuations, while others see the flow of funds behind the fluctuations; some follow trends, while others develop strategies based on data. Chainbase provides not just tools but a way of thinking that drives decision-making based on data. NFT players avoid traps and find potential targets by tracking whales and screening for value; DeFi users achieve stable profits using yield formulas and liquidation alerts. When you can explain market phenomena with data and validate operational logic with indicators, you can surpass most blind operators on the path to making money in Web3. Now open Chainbase, starting with analyzing your first NFT or DeFi project to make data your financial backbone.@Chainbase Official #Chainbase
