Real blockchain data instead of reading tea leaves
BTC FlowWatch analyses the Bitcoin blockchain live and shows you what the big players are really doing — not what chart patterns imply.
The problem with classical price analysis
Traditional analysis tools like candlestick charts, RSI, MACD, or Bollinger bands all rest on a single data point: price. They try to predict the future from past price patterns. But prices are only the result of supply and demand — they don't reveal who is buying, who is selling, or why.
What if you could instead see directly whether Bitcoin is currently flowing from exchanges to ETF providers? Whether a major custodian is transferring coins to an exchange? Or whether mining pools are offloading their earnings? That's exactly what BTC FlowWatch does.
Our approach: on-chain flow analysis
1. Block analysis
Every new Bitcoin block is analysed in real time. We identify known addresses and assign them to institutional categories: exchanges, ETFs, custodians, mining pools, payment providers, and more.
2. Flow capture
We capture direction and volume of every transaction between these categories. This yields a real-time picture of Bitcoin movements between institutional actors.
3. Price correlation
Flow data is statistically correlated with BTC price movement. You see which capital flows historically align with price action.
What we measure — and why it matters
Bitcoin is a transparent network. Every transaction is public and immutably stored on the blockchain. BTC FlowWatch uses this transparency to make institutional capital flows visible:
- Existence of transactions: is there any transfer between two categories at all (e.g. from exchanges to ETF providers)?
- Volume: how many BTC flow per block between these actors? Significant amounts or background noise?
- Net direction (netflow): do more BTC flow to exchanges (potential sell pressure) or away from exchanges (accumulation)?
- Price correlation: how strongly does a given flow type correlate with subsequent price movements? Measured as Pearson correlation coefficient (r) with configurable time lag.
Crucially: these are not estimates or interpretations of chart patterns. They are verifiable, real transaction data directly from the Bitcoin blockchain.
Category flows: who transfers to whom?
The dashboard shows real-time netflows between all categories — both as a bar chart and as an interactive matrix. You immediately see whether more BTC are flowing into exchanges (bearish) or out of them (bullish).
Correlation heatmap: which flows move the price?
The heatmap shows the Pearson correlation coefficient (r) for every category pair. Green means: when this flow increases, the price tends to rise. Red means the opposite. The lag parameter lets you explore different time shifts.
| Exchange | ETF | Custodian | Mining | Neobroker | Payment | |
|---|---|---|---|---|---|---|
| Exchange | — | 0.42 | -0.18 | 0.31 | 0.08 | -0.22 |
| ETF | -0.35 | — | 0.55 | -0.12 | 0.27 | 0.14 |
| Custodian | 0.21 | -0.44 | — | 0.38 | -0.09 | 0.62 |
| Mining | -0.28 | 0.17 | -0.51 | — | 0.33 | -0.05 |
| Neobroker | 0.15 | -0.23 | 0.44 | -0.37 | — | 0.19 |
| Payment | -0.41 | 0.29 | -0.16 | 0.48 | -0.32 | — |
Price vs netflow: the big picture
The stacked netflow chart overlays aggregated category flows with the BTC price curve. You visually recognise whether large capital shifts preceded a price rise or drop.
Classical chart analysis vs BTC FlowWatch
Candlestick / technical analysis
- Based only on historical price data
- Chart patterns are subjectively interpretable
- No information about the actors behind the trades
- No distinction between institutional and retail trading
BTC FlowWatch — on-chain analysis
- Based on real, verifiable blockchain transactions
- Objective, measurable data instead of pattern recognition
- Shows which institutional categories are active
- Statistical correlation between flows and price movement
Ready for data-driven decisions?
Start for free and experience how the big players move the Bitcoin market in real time.