Module 4: Technical Analysis for Crypto
Crypto-Specific Signals
Chapter 15 of 16 · about 7 minutes
15.1 Data the stock market doesn't have
Node, the stock investor, was surprised by how much extra information crypto traders look at. "Funding rates? Open interest? Liquidation maps? Stablecoin supply? In stocks, I mostly had price and volume."
"Crypto is unusually transparent," said Hash. "Derivatives exchanges publish positioning data in real time, and blockchains show money moving on-chain. Used carefully, this data tells you not just where price is, but how traders are positioned, and where they might be forced to act."
This chapter introduces the most widely used crypto-specific signals. Later modules go deeper: the Perpetual Futures module covers derivatives data in detail, and the On-Chain Analysis module covers blockchain data.
15.2 Funding rates
Perpetual futures use funding rates to keep their price close to spot. When the funding rate is positive, traders holding long positions pay those holding short positions. When negative, shorts pay longs. (The Perpetual Futures module explains the mechanics.)
For technical analysis, funding is a gauge of crowding:
| Funding | What it suggests |
|---|---|
| Strongly positive | Many leveraged longs, willing to pay to stay long. Bullish crowding |
| Near the baseline | Balanced positioning |
| Strongly negative | Many leveraged shorts. Bearish crowding |
Extreme funding doesn't predict an immediate reversal. But crowded positioning makes the market fragile. If price moves against the crowd, forced exits can accelerate the move.
15.3 Open interest
Open interest (OI) is the total value of open futures and perpetual contracts. Unlike volume, which counts trades, OI counts positions that are still open.
Combining price and OI gives useful context:
| Price | Open interest | Common interpretation |
|---|---|---|
| Rising | Rising | New positions opening, often leveraged longs; the move has new money behind it, but leverage is building |
| Rising | Falling | Shorts closing (a short squeeze) or longs taking profit; the move may lack fresh conviction |
| Falling | Rising | New shorts opening, or longs adding as price falls; leverage building on the downside |
| Falling | Falling | Positions closing, often longs being liquidated or exiting; deleveraging |
Chapter 15 · Reading price with open interest
A two-by-two matrix pairs price rising or falling with open interest rising or falling. Price up with open interest up: new longs opening, new money behind the move but leverage building. Price up with open interest down: short covering or long profit taking, with less fresh conviction. Price down with open interest up: new shorts opening, leverage building on the downside. Price down with open interest down: longs closing through liquidations or exits, a deleveraging.
A worked example. Over a week, Bitcoin rises from $95,000 to $104,000. Open interest rises 20%, and funding climbs to about three times its baseline.
"So lots of new leveraged longs, all paying high funding," said Mint.
"Right," said Hash. "The trend is up, but the leverage behind it is getting heavy. If price dips sharply, those longs are exposed."
Two days later, Bitcoin drops 6% in an hour. Open interest falls 12%, as long positions are liquidated. Funding returns to normal. The leverage has been flushed out. Traders often describe this as a reset, and the market may be healthier afterward, even though the price is lower.
15.4 Liquidation levels and heatmaps
When leveraged traders open positions, each position has a liquidation price: the level at which it will be forcibly closed. Many data providers estimate where liquidation levels cluster and display them as liquidation heatmaps.
Large clusters of liquidation levels can act like magnets. If price approaches a cluster, triggering those liquidations can create forced buying or selling that pushes price through the level quickly. Some traders watch these clusters as potential targets or danger zones.
Treat heatmaps cautiously. They're estimates based on assumptions about leverage and entry prices, not exact data. Different providers show different pictures. And positions can be closed or adjusted before price reaches them. Module 7 explores liquidation mechanics in depth.
15.5 Spot versus derivatives
A rally driven mainly by spot buying, people actually buying the asset, tends to be more durable than one driven mainly by leveraged perp buying. Perp-driven moves can reverse sharply when positions are liquidated.
Signals that help distinguish them include:
- Comparing spot volume with perp volume (Chapter 7).
- Watching the difference between perp and spot prices. Perps trading well above spot, along with high funding, suggests leverage is leading.
- Watching price differences between major exchanges. For example, when Bitcoin trades at a premium on major US spot exchanges compared with offshore exchanges, some traders read it as strong demand from US buyers, including institutions.
15.6 Bitcoin dominance and ETH/BTC
As Module 1, Chapter 10 explained, Bitcoin dominance is Bitcoin's share of the total crypto market cap.
| Bitcoin dominance | Common interpretation |
|---|---|
| Rising | Money concentrating in Bitcoin; often during uncertainty or early in bull markets |
| Falling, with the market rising | Money rotating into other tokens; often in later, more speculative phases |
| Falling, with the market falling | Other tokens may be falling less than Bitcoin, or stablecoins' share is rising |
The ETH/BTC ratio shows Ethereum's price in bitcoin. When it rises, Ethereum is outperforming. Many traders watch it as a gauge of appetite for assets beyond Bitcoin.
Note that stablecoins are included in total market cap, so a rising stablecoin share can change dominance numbers without any change in Bitcoin's relative strength.
15.7 Flows into and out of the market
Some data tracks money moving into crypto:
Stablecoin supply. Growing stablecoin supply is often seen as fresh capital entering the crypto ecosystem, ready to be deployed.
ETF flows. Daily flows into and out of spot Bitcoin and Ether ETFs (Module 1, Chapter 9) show demand from traditional investors.
Exchange flows. Large amounts of crypto moving onto exchanges can signal intent to sell; movement off exchanges can suggest holding. The On-Chain Analysis module covers these in detail, including their many caveats.
15.8 Calendar effects
Because crypto trades 24/7 while traditional markets don't, some timing patterns are worth knowing:
Weekends often have lower volume and narrower ranges, but thin liquidity can also produce sharp moves (Chapter 11).
CME gaps. For years, Bitcoin futures on the CME, a major US derivatives exchange, didn't trade over the weekend, so a significant weekend move left a gap between Friday's close and the next session's open on CME charts. A popular belief said these gaps tend to "fill," with price returning to the gap level. It happened often enough that many traders watched for it, though it was far from guaranteed, and large gaps stayed unfilled for long periods. In May 2026, the CME moved its crypto futures and options to 24/7 trading, apart from a short maintenance window, so new weekend gaps have largely disappeared. The idea is still useful for reading older charts and for other venues that pause.
Major economic announcements, like interest rate decisions and inflation data, often cause volatility spikes in crypto, especially now that institutions are more involved.
15.9 Using these signals well
"There's so much data," said Mint. "How do I use it without drowning?"
"Use it as context, not as triggers," said Hash. "Price structure and levels decide the trade. Funding, open interest, and flows tell you how crowded and fragile the market is, which affects how much risk you take and where things could go wrong."
| Signal | Main question it answers |
|---|---|
| Funding rate | Is leverage crowded on one side? |
| Open interest | Is new leverage entering or leaving? |
| Liquidation levels | Where might forced buying or selling occur? |
| Spot versus perp activity | Is the move driven by real demand or leverage? |
| Dominance and ETH/BTC | Where is money flowing within crypto? |
| Stablecoin supply and ETF flows | Is money entering or leaving crypto? |
15.10 Try it yourself
Find a free dashboard showing Bitcoin's funding rate and open interest across major exchanges. Note today's values. Then find the last major price drop of 5% or more and check what funding and open interest looked like the day before, and what happened to them during the drop.
Key takeaways from this chapter
- Crypto offers real-time positioning and on-chain data that traditional markets rarely provide.
- Funding rates show which side of the market is crowded with leverage.
- Combining price with open interest shows whether moves are driven by new positions or closing positions.
- Liquidation heatmaps estimate where forced exits may cluster, but they're estimates, not exact data.
- Spot-driven moves tend to be more durable than leverage-driven ones.
- Bitcoin dominance, ETH/BTC, stablecoin supply, and ETF flows show where money is moving.
- Weekend effects, CME gaps, and economic announcements create timing patterns, none guaranteed.
- Use these signals as context about crowding and fragility, not as trade triggers on their own.