On-chain analytics platforms compared
| Platform | Strength | Free tier | Paid tier | Best for |
|---|---|---|---|---|
| Glassnode | Cycle indicators, supply distribution | ~50 metrics free | $300-2,000/mo | Macro analysts, cycle traders |
| CryptoQuant | Exchange flows, miner activity | ~30 indicators | $50-500/mo | Short-term traders, miners |
| Arkham Intelligence | Entity labeling, address graphs | Generous free | $500+/mo | Investigative analysts |
| mempool.space | Mempool, fees, Lightning | Full free | n/a (donations) | Everyone — sovereign tool |
| Hashrate Index (Luxor) | Miner economics, hashprice | Free dashboards | API + analytics | Miners, treasury teams |
| Bitcoin Magazine Pro | Curated dashboards, cycle context | Most free | $10/mo subscription | Retail learners |
| Nansen | Smart-money flows (multi-chain) | Free tier limited | $150-2,500/mo | Multi-chain professionals |
| Chainalysis (compliance) | KYT, sanctions screening | Enterprise | Enterprise only | Regulated exchanges, govts |
| Coin Metrics | Institutional-grade data | Limited | Enterprise | Funds + ETFs |
| BitcoinTreasuries.net | Corporate BTC holdings tracker | Free | n/a | Anyone tracking MetaPlanet, MSTR, etc. |
| into the block | Holder distribution + flow | Limited free | API subscription | Quant teams |
The 10 indicators that actually matter
Market Value / Realized Value, standardized. Identifies cycle tops (Z > 6) and bottoms (Z < 0). 2024 cycle top: ~5.8. 2018-19 bottom: -1.0. Available on Glassnode + CryptoQuant.
Whether spent coins are realising profit or loss. SOPR > 1 = profit; < 1 = loss. Resets around 1.0 mark cycle pivots. Glassnode default.
Coins held >155 days. Tends to peak before cycle tops as long-term holders distribute. 2024 peak preceded April halving.
Aggregate cost basis of all on-chain BTC. Shows where "real money" entered the system. Slow but reliable cycle indicator. Glassnode + CryptoQuant.
HODLer confidence relative to price. Low Reserve Risk = HODLers strong despite low price (accumulation phase). High = HODLers selling into strength (distribution).
Miner revenue stress relative to 1-year average. > 4 = miner over-earning (top signal). < 0.5 = miner stress (bottom signal). Critical post-halving.
Crossover of 30d vs 60d hashrate. Capitulation signals miner shutdowns; recovery historically marks cycle bottoms within months.
BTC moving onto vs off exchanges. Sustained outflows = self-custody accumulation (bullish). Sustained inflows = distribution (bearish).
Aggregate realized profit (or loss) by spending coins. Spikes during euphoric tops; resets at bottoms.
Time-weighted measure of how much "old" coin is moving. Spikes signal long-term-holder distribution (caution).
Asian-specific use cases
Arkham labels Druk Holdings + MetaPlanet wallets. Monitor accumulations + distributions. Useful for understanding sovereign + corporate buy pressure.
CryptoQuant tracks Binance, OKX, Huobi/HTX, Bybit, KuCoin reserves. Useful for detecting Asian-driven trends ahead of price action.
Hashrate Index tracks geographic hashrate distribution. Asian miners moving (e.g. Kazakhstan after subsidy removal) show up as regional shifts.
CryptoQuant + custom dashboards track Upbit / bitFlyer / Coincheck premium vs Binance. Wide premium = local accumulation signal.
CoinDCX + WazirX volume + flow data via CryptoQuant. INR-pair volume historically leads broader Asian retail tone.
Arkham + custom tracking of HashKey + DBS + Sygnum custody flows. Indicates institutional accumulation pace.
FAQ
Can I learn on-chain analytics for free?
Yes. Glassnode Studio basic + CryptoQuant free indicators + mempool.space cover 80% of meaningful analysis. Bitcoin Magazine Pro newsletter explains key indicators weekly. Plan B Network has free on-chain modules in multiple Asian languages.
Are on-chain indicators reliable for trading?
For long-term cycle positioning: yes, with caveats. For short-term entries / exits: weak signal-to-noise. Use them as macro context, not signal generation. Combine with fundamentals + risk management.
How accurate are entity labels (Arkham, Chainalysis)?
For major entities (exchanges, mining pools, sovereign wallets, public companies): highly accurate, regularly verified. For individual wallets: heuristic-based, ~70-85% confidence. Treat labels as probabilistic, not definitive.
Can analytics platforms see my wallet?
Yes — all on-chain data is public. Specific platforms label your wallet if you've publicly disclosed it (e.g. via tweet, NIP-05). To minimise wallet linkage to identity: use fresh addresses, avoid public disclosure, combine with privacy tools.
Should I build my own dashboards?
Worth it for analysts running quant strategies. Open-source: Mempool Space (self-host), Bitcoin RPC + Grafana, Statoshi.info. Closed-API: Glassnode/CryptoQuant subscriptions. For most users, paid dashboards are cheaper than custom infrastructure.