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On-Chain Data: How Smart Crypto Traders Use Blockchain Records to Get an Edge

By:
Alejandro Arrieche
Published: Jul 14, 2025, 19:08 GMT+00:00

On-chain data turns crypto into an open book: learn how to analyze whale transfers, stable-coin inflows, funding-rate flips and much more.

On-Chain Data: How Smart Crypto Traders Use Blockchain Records to Get an Edge

What if I told you that every single Bitcoin whale movement, every institutional accumulation phase, and every major market shift leaves digital fingerprints that you can track in real-time?

Welcome to the world of on-chain data – where blockchain transparency has accidentally created the most democratic financial intelligence system in history.

I’ve been trading crypto for over six years and I can tell you this: the game changed completely when I started listening closer to what on-chain data was telling me. While traditional finance hides behind closed doors and Bloomberg terminals that cost $24,000 a year, the crypto market broadcasts to the entire world every transaction that takes place.

More power to the people.

What is On-Chain Data?

On-chain data can be understood as an organized and comprehensive way to understand the nature of every transaction recorded on public blockchains like Bitcoin or Ethereum.

Here’s the thing though – this data isn’t just sitting there looking pretty. It’s screaming trading signals at us 24/7.

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On-Chain Data Dashboard for EVM – Source: Etherscan

When I analyze Etherscan or Solscan, I’m not just looking at random numbers. I’m watching how entire crypto ecosystems are performing in real time. Every wallet interaction, every token transfer, every smart contract call – it’s all there, waiting to tell us what’s really happening beneath the surface.

The key insight? Unlike traditional markets where you’re always trading in the dark, the blockchain shows you exactly where the money is flowing. No guessing. No speculation. Just raw, transparent data.

The Metrics That Actually Matter

Let me break down the signals I watch religiously. These aren’t just theoretical concepts – they’re the bread and butter of my trading strategy.

Whale Watching (My Personal Favorite)

“How can I possibly track every whale movement?”, is what you’re probably thinking.

The answer is simpler than you think. When a wallet that’s been holding 50,000 ETH for three years suddenly moves 10,000 ETH to Binance, that’s not a coincidence. That’s a whale preparing to sell, and it usually means one thing: get ready for some downward price pressure.

Services like Nansen and Arkham Intelligence provide alerts signalling when these big moves occur. They deliver these alerts via a subscription service primarily but they sometimes share occasional alerts on their social media accounts.

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Lookonchain Official X Account – Source: X.com

I use these signals as one of the first insights that I consider in my trading routine. It has allowed me to take profits off my long positions before they are gone more times than I can count.

Tracking Stablecoin Flows

Here’s something most traders miss: stablecoin inflows are like jet fuel for crypto rallies.

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Stablecoin Market Cap on Ethereum – Source: DeFiLlama

When I see USDC and USDT flooding onto exchanges, especially onto specific blockchains, I know buying pressure is building. It’s like watching traders load their cannons before a battle.

CryptoQuant has a chart called Exchange Reserves, for example, that tracks the volume of ERC-20 (Ethereum) held by exchanges at any given point.

One way to check for interesting signals is to draw 21-day, 50-day, and 200-day moving averages for this chart and check if reserves are moving below or above those levels as that indicates a change in the trend.

If reserves move below the average, it means that investors are withdrawing stablecoins off exchanges at a fast pace and vice versa.

Bottom line: Money talks, and in crypto, stablecoin flows scream.

Activity Levels Talk About Ecosystem Growth

New wallet creation rates and daily active addresses – these metrics don’t lie about genuine interest. When I see wallet creation spiking on Solana while the price is still consolidating, that’s institutional FOMO building up behind the scenes.

The smart money always moves first.

It is also indicative that an ecosystem is growing. Active wallets tell you that investors are pouring money into DeFi and are ready to interact with dApps in that particular chain.

Liquidation Cascades

Liquidation data is where rubber meets the road. When long positions get liquidated en masse, it creates a feedback loop of selling pressure that can crush even the strongest technical setups.

I’ve learned to read liquidation maps like weather forecasts. High liquidation clusters above the current price? That’s where the storm will hit if we rally.

The Derivatives Layer: Where the Real Action Happens

For active traders like myself, the derivatives market is where fortunes are made and lost. Let me share the three metrics that have transformed my short-term trading strategy:

1. Funding Rates: The Market’s Emotional Barometer

Here’s the thing about funding rates – they’re basically the market’s way of showing its hand.

Funding rates indicate how the futures market is evolving. When they are positive, it means that short sellers will earn interest for taking the other side of the trade. This typically happens when futures prices exceed spot prices, primarily due to increasing demand.

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Funding Rates per Coin per Exchange – Source: CoinGlass

The opposite is true when funding rates are negative. In this scenario, long positions earn interest income and it typically indicates that selling pressure is high, which is why market makers decide to compensate buyers.

When funding rates flip from positive to negative, it’s like watching sentiment change in real-time. I use free services like Coinalyze to track funding rate changes across major exchanges and the patterns are remarkable.

Personal example: In March 2024, I noticed that BTC funding rates had been negative for 72 hours straight while the price was hitting a support area. That divergence signaled oversold conditions and the rally that came after was explosive.

2. Futures Open Interest: Tracking Speculators’ Behavior and FOMO

Open interest (OI) refers to the number of outstanding futures contracts that have not been settled at any given point in time.

Since futures are mostly used by traders to speculate about the trajectory of an asset’s price, analyzing OI allows swing traders to get a sense of how market participants are positioning for future price movements.

Open interest rising alongside price? That’s pure FOMO rocket fuel. But here’s where it gets interesting – when OI rises but price stays flat, that’s accumulation in disguise.

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BTC Futures Open Interest (All Exchanges) – Source: CoinGlass

I’ve seen this pattern play out dozens of times:

OI builds quietly for weeks. Price trades range-bound. Suddenly, the breakout happens with force.

The key here is patience. Those sideways periods while OI builds are where the ‘smart money’ is positioning for the next big move.

3. Cumulative Volume Delta: Reading the Room

Delta volume is a sophisticated way of saying “net volume”. It means the result of subtracting sell volumes from buy volumes.

If delta volume is positive, it means that buying volumes exceed selling volumes and vice versa. Cumulative Volume Delta (CVD) measures how this net result fluctuates over time. The metric is typically plotted as a line and can be used to spot convergence and divergence.

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Spot Cumulative Volume Delta (CVD) – Source: Glassnode

When CVD is rising alongside prices, it means that strong buying pressure is supporting the uptrend. This is a continuation signal. The same goes for downtrends, if CVD turns negative and keeps declining, it means that selling pressure is mounting.

CVD can be a secret weapon for confirming trend strength. When the price makes new highs but CVD diverges (moves lower), I know the rally is running on fumes.

This has saved me multiple times from fake-outs. While everyone is celebrating new highs, if CVD shows signs of exhaustion, it means that a correction is coming.

Example of Trading Signals

Signal Possible meaning
OI is rising alongside price Speculation is rampant, market sentiment is extremely positive, and FOMO dominates. This is bullish in the near term but it may also mean that volatility will increase.
OI is rising but prices are range-bound This signals ongoing accumulation and it is also bullish as market participants are preparing for a big move, typically to the upside.
OI is declining alongside prices Negative momentum is taking over, traders are cashing out of their long positions.
OI is declining but prices are range-bound Market participants prefer to stay on the sidelines, possibly as they are cautious about the impact of an upcoming macro event or news. It could result in further price increases as buying pressure will remain low.

My Go-To Data Arsenal

After years of testing different platforms, these are the services that stand out to get insights from on-chain data:

Glassnode (Favorite for Swing Traders and Investors)

Their $49/month tier they offer is a great deal. The hourly data updates and whale movement alerts provide valuable actionable data for swing trades. Their SOPR (Spent Output Profit Ratio) metric alone is worth the subscription.

Free tier:

  • Supports 1,000 assets and data points are updated every 24 hours.
  • Only one alert can be set for indicators.
  • This tier supports 4 spot markets, 7 futures market indicators, 41 on-chain metrics.

Paid tiers:

  • This subscription package costs $49 per month.
  • Supports 1,000 assets and 300 derivatives. Data points are updated every 1 hour.
  • Users can set up to 20 alerts.
  • It combines data from all crypto exchanges.
  • This tier covers more than 60 different metrics across the spot, futures, ETFs, options, and perps markets.
  • It also covers 96 different on-chain metrics.

There is also a Professional tier that costs $833.33 per month. It offers unlimited access to all of the Glassnode library to indicators along with trading signals and indicators. These signals can be backtested by using its resources as well.

Coinalyze (For Perps Addicts)

If you’re trading perpetuals, you will use this website quite often. Their funding rate heatmaps and liquidation clusters are incredible tools to get a daily (or hourly) snapshot of how the market is doing. The free version gives you 80% of what you need.

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Futures Market Data Overview – Source: Coinalyze

They offer a pro version free of ads for just $10.95 per month. However, the free version is quite robust and provides tons of insightful data points.

DeFiLlama (The Ecosystem Overview)

Perfect for identifying which protocols are gaining real traction. When I see TVL rising within a new DeFi protocol or side chain while its token is still under the radar, that’s alpha.

Their website is accessible to anyone without registering but they also offer a paid subscription tier called DeFiLlama Pro for $49 per month that allows users to download historical data on CSV files for backtesting and analysis, enhanced customization for charts, and curated market information.

DeFiLlama’s resources can be used to identify long-term trends. Its information may be more beneficial to swing traders and buy-and-hold investors.

Dune Analytics (For Data Nerds)

This is where quants go to build models. It can be used to create custom dashboards to track specific wallets and transaction types. It’s like having a Bloomberg terminal built specifically for crypto.

Its free tier gives users 2,500 credits (1,000 data points per credit) to query its database for backtesting, analysis, and develop proprietary indicators that can be shared with the community or kept private.

A premium tier costs $49 per month and it provides a higher number of credits and higher storage capacity.

Meanwhile, the Plus and Premium packages cost $349 and $849 per month. They support CSV exports and provide access to more sophisticated query management systems.

Dune is most suitable to data scientists, programmers, and sophisticated investors (e.g., quants) who will use its resources and database to a/b test strategies and come up with advanced indicators that predict changes in market cycle, analyze sentiment, and spot early trends for individual protocols and chains.

Putting It All Together: Real Trading Setups

Let me show you how on-chain data can be used in practice:

Bullish Setup Example

  • Stablecoin inflows to Solana DEXs have increased by 25% over 7 days.
  • Funding rates went negative despite strong fundamentals.
  • CVD started climbing while the price was consolidating.
  • New wallet creation has hit a 12-month high.

Verdict: Smart money is positioning for a bullish move and traders and rushing to get their hands on this token.

Bearish Setup Example (August 2024)

  • Whale wallets are moving funds to exchanges.
  • Long liquidations are spiking.
  • CVD has flopped to negative during an apparent rally.
  • Open interest has been declining for a week straight.

Verdict: Bulls may have exhausted their ammo. Downswings are getting stronger. Traders are cashing out. Time to sell.

The Truth About Data-Driven Trading

Here’s what I’ve learned after thousands of trades: no single metric tells the complete story.

The real edge comes from triangulating signals across multiple data sources. Price action, on-chain flows, derivatives metrics, and fundamental analysis – they all need to align.

Backtest everything obsessively but don’t overfit. What looks obvious in hindsight often falls apart under proper statistical analysis. Demo accounts with real-time data are your best friend for testing new strategies.

Stay flexible. The market evolves and your interpretation of data needs to evolve with it.

Why This Changes Everything

Think about this for a second: We’re living through the first truly transparent financial revolution in history.

For the first time ever, retail traders have access to the same institutional-grade insights that used to cost millions. Every whale movement, every accumulation phase, every sentiment shift – it’s all there in the blockchain, waiting for us to read it.

The platforms I mentioned have democratized financial intelligence in ways that seemed impossible just a decade ago. Whether you’re scalping 5-minute charts or holding for months, this data levels the playing field.

But here’s the catch: Data alone won’t make you profitable.

The real edge lies in developing the intuition to read these signals correctly, the discipline to wait for proper setups, and the risk management to survive when you’re wrong.

Bottom line? In a world where information is power, crypto traders now have access to more real-time financial intelligence than any generation before us. The question isn’t whether you should be using on-chain data – it’s whether you can afford not to.

The blockchain never lies. The question is: Are you listening?

 

About the Author

Alejandro Arrieche specializes in drafting news articles that incorporate technical analysis for traders and possesses in-depth knowledge of value investing and fundamental analysis.

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