Reading market signals — The Daily Coins

Crypto markets generate dozens of signals daily. Most of them are noise. A handful are genuinely useful — and a handful more are useful only when you know how to read them. This guide is the long version of what we watch on The Daily Coins, what we ignore, and how to put it all together into a daily routine that does not eat your morning.

The bias of this guide is toward signals you can actually act on. We do not include things that sound clever but cannot be timed, like “the four-year halving cycle” or “Pi cycle top”. Those make great YouTube thumbnails. They make poor decision inputs because they fire too rarely and too imprecisely to do anything with.

The four signals we trust

If you only watched four things every day, these would be the four. Each one captures something the others miss; together they paint a reasonable picture of what the market is actually doing.

Volume. The total dollar value of trades over a window. Confirms or rejects price moves. High-conviction moves have high volume; low-conviction moves have low volume.
BTC dominance. Bitcoin’s share of total crypto market cap. The single best regime classifier we have — rising dominance means risk-off rotation into BTC; falling dominance means capital flowing out into altcoins.
Fear & Greed Index. The alternative.me composite. A contrarian-leaning sentiment thermometer. Extreme readings on either end are worth paying attention to.
Funding rate. The perpetual-futures premium. Tells you how crowded the leveraged side of the market is.

None of these is predictive on its own. Together, they form a fingerprint of the market state. We will go through each in detail and then build a checklist that combines them.

Volume

Volume is dollar size traded over a window. The standard window is 24 hours, but you can compute volume on any timeframe. The number itself does not matter as much as its context — is this volume high or low compared to the same coin’s average over the last 30 days?

High volume on an up-day means real buyers stepped in. If BTC moves from $80,000 to $85,000 on 30 billion dollars of spot volume, that move has more substance than the same move on 5 billion. Real money was committed. Even if the market gives some of the gain back, the buyer base is now wider.

High volume on a down-day means real selling. Not necessarily panic — sometimes it is genuine distribution by holders who got their thesis right and are taking profits. Either way, the move is supported by participation.

Low volume in either direction is suspect. A 4% move on 5 billion of volume in a market that normally trades 25 billion is probably a thin-liquidity print, an algorithmic squeeze, or a temporary mispricing. It is more likely to reverse than to continue.

One important pitfall: a lot of reported volume is wash-traded. Some exchanges report numbers that are not real economic activity. The fix is to look at volume on regulated venues (Coinbase, Kraken, CME futures, Bitstamp) where wash trading is rare and the numbers are auditable. CMC and CoinGecko publish “adjusted volume” figures that filter for liquidity and reporting quality; use those rather than the raw aggregate.

Volume in conjunction with price movement is the most basic confirmation tool. If you only read one chart pattern signal, read this one.

Order book and slippage

The order book is the live list of buy orders (bids) and sell orders (asks) at each price level. It tells you, in real time, how much size is sitting at each price waiting to trade. Understanding it changes how you think about “the current price.”

The current price is just the most recent trade. It does not tell you whether you can actually buy a meaningful amount at that price. If the best ask is $82,000 with 0.1 BTC available, and the next ask is $82,400 with 1 BTC available, and you place a market order for 1.5 BTC, you will fill some of your size at progressively worse prices. The average fill price might be $83,000 — 1.2% worse than what you saw on screen.

That is slippage. It is the gap between expected price (the headline) and realised price (what you actually paid). On deep books for top coins on major venues, slippage on retail-size orders is a few basis points. On thin books for long-tail coins, slippage on the same size order can be 5% or more.

For users new to spot trading, the practical takeaway is: use limit orders when you can, and look at the order book before you market-buy a coin you are not familiar with. The book is the truth. The headline price is sometimes a lie about how much liquidity is actually available.

If you cannot read the order book directly on your exchange, look at the depth chart — most exchanges show a green/red liquidity profile. A book that drops off sharply just below the current bid means selling pressure will move price fast. A book that gradually thickens means you have a buffer. This single observation is more useful than half the technical-analysis indicators you will see in trading content.

BTC dominance: the regime classifier

BTC dominance is Bitcoin’s share of total crypto market capitalisation. If total market cap is $3 trillion and BTC market cap is $1.5 trillion, dominance is 50%. Track it daily. It does more work than almost any other single signal.

Dominance moves slowly. A meaningful regime shift is multiple weeks of one-directional change, not a day-to-day wiggle. When it does move, it is telling you something important about capital flows.

Rising dominance usually means capital is rotating into BTC and out of altcoins. This happens in three contexts: (a) a flight to quality at the start of a downtrend, (b) consolidation phases between bull market legs, and (c) the early innings of a new bull market when BTC moves first and alts have not yet caught up. The implication for trading is usually risk-off on alts.

Falling dominance usually signals an “altseason” — speculative capital flowing into smaller coins. This is the regime in which alts outperform BTC by wide margins for weeks or months. It is also the regime in which you have the highest chance of catching a 5x move on a mid-cap, and the highest chance of getting wrecked when sentiment shifts back.

One subtlety: BTC dominance has a long-term downward drift because more new coins exist now than five years ago. Compare today’s dominance to its level six and twelve months ago, not to its 2020 levels. We watch the 90-day trend more than the absolute number.

Another subtlety: stablecoins are excluded from some dominance calculations and included in others. If you compare across sources, make sure they are using the same denominator. The CMC dashboard publishes the figure both with and without stablecoins; we use the no-stablecoin version because it more directly answers the question of where speculative capital is going.

Fear & Greed Index

The alternative.me Fear & Greed Index is a 0-to-100 composite that combines momentum, volatility, BTC dominance, volume, and Google trends data. We use it as a contrarian-leaning sentiment thermometer.

The empirical reading on Fear & Greed is straightforward. Extreme readings on either end tend to mark local turning points. The exact thresholds depend on the regime, but:

Below 25 (extreme fear) has historically marked local bottoms more often than chance would predict. Not every fear reading is a bottom, but most bottoms have a fear reading.
Above 75 (extreme greed) has historically marked local tops more often than chance would predict. Same caveat — not every greed reading is a top, but most tops have a greed reading.
Between 35 and 65 is the boring middle. Sentiment is neutral and the index has limited predictive value.

Two ways to misuse this index. First, treating it as a precise timing tool. The index can stay extreme for weeks. “Fear” was the prevailing reading for most of 2022 — early-cycle longs who bought every dip were underwater for months before the cycle finally turned. Use it as one input, not a green-light/red-light system.

Second, ignoring the underlying components. The index is composite. If it is reading 75 because of high momentum but low volatility and modest volume, that is a different signal than 75 driven by all five components in lockstep. We watch the index but also glance at the components to make sure we understand what is driving it.

One practical use: F&G is a cooling check on your own emotions. If you find yourself wanting to buy hard and the index is at 90, ask why your conviction is so high right now. If you want to sell everything and the index is at 10, same question. Often the index is not telling you something new — it is telling you that what you are feeling, everyone else is feeling too, and crowded trades work out poorly.

Funding rate: the perp sentiment thermometer

Perpetual futures are derivative contracts that mirror the spot price but never expire. To keep them anchored to spot, exchanges charge a periodic funding rate — a payment from one side to the other based on which side is more crowded. The rate is paid every 8 hours on most major venues.

When perps trade above spot — meaning longs are bidding the contract up — the funding rate is positive. Longs pay shorts. This is a clear signal of leveraged bullish positioning. When perps trade below spot, the rate is negative. Shorts pay longs. This signals leveraged bearish positioning.

What to do with this:

Persistently high positive funding (say above 0.03% per 8 hours, or 0.09% per day) for several days means longs are crowded. The crowded side is the side that gets squeezed. A sharp move down liquidates leveraged longs in a cascade. This does not mean “short here” — it means the upside is rented, and any negative catalyst hits with leverage.

Persistently negative funding means shorts are crowded. Same dynamic in reverse. A pop up forces shorts to cover and can produce sharp upward moves.

Funding near zero means the perp market is balanced. Neither side is paying a meaningful premium. This is healthy. It usually means price discovery is happening on spot rather than being dragged around by derivatives flow.

You can find funding rate data on Coinglass, Velo, Laevitas, and most major exchanges directly. We watch the BTC and ETH perp funding rates daily as a leverage barometer.

Open interest

Open interest (OI) is the total notional value of outstanding perp and futures contracts. Combined with funding, it gives you a fuller picture of leverage in the system.

Rising OI alongside rising price means new longs are being opened — the move is being driven by new positioning. Rising OI alongside falling price means new shorts are being opened. Falling OI in either direction means positions are being closed; the move is being driven by deleveraging rather than new conviction.

The combinations to watch:

Price up, OI up, positive funding — long-driven rally, crowded, vulnerable to liquidations on a reversal.
Price up, OI down — short squeeze. Bears are closing positions, not new longs piling in. Often runs out of fuel quickly.
Price down, OI up, negative funding — short-driven decline, crowded, vulnerable to a squeeze on a bounce.
Price down, OI down — long capitulation. Holders are exiting. Often signals a meaningful low when combined with extreme fear.

OI alone tells you little. OI combined with price direction and funding rate tells you most of what you need to know about the leverage state of the market.

Stablecoin supply

Stablecoin total supply — USDT plus USDC primarily, plus DAI and FDUSD and a few others — is the dry powder of the crypto market. When stablecoin supply is growing, capital is moving from fiat into crypto-adjacent venues. When it is shrinking, capital is leaving.

The signal is slow and structural. You will not see stablecoin supply explain a 5% daily move. You will see it explain the difference between a market with conviction and a market without. The big bull markets of 2017 and 2021 both featured aggressive stablecoin supply growth in the months leading up to them. The 2022 collapse featured sustained supply decline as Terra and FTX wiped out demand.

Where to watch: DefiLlama’s stablecoin dashboard, or directly from issuer transparency reports. Tether and Circle both publish supply numbers on-chain in near real time. The aggregate across the main fiat-backed stables is the figure to watch.

A growing tether supply alone is not a buy signal. A growing aggregate stablecoin supply across multiple issuers, sustained for weeks, in conjunction with rising volume and dominance shifting toward alts, is a real signal that capital is being put to work.

On-chain signals

Crypto’s great feature is that the ledger is public. You can directly observe address activity, exchange flows, and validator behaviour. A handful of on-chain metrics earn their place in the daily routine.

Active addresses. The number of unique addresses that transacted on a network in a given day. Rising active addresses on Ethereum or Bitcoin signals real usage. Falling active addresses is the opposite. Note that this metric is noisier than people pretend — one user can be many addresses, and one address can be a smart contract servicing thousands of users. Read it as a directional indicator over weeks, not a precise daily measurement.

Exchange flows. When coins move from private wallets to exchange addresses, it often presages selling. When coins move off exchanges to private wallets, it often presages holding. Glassnode and CryptoQuant track this. The signal is most useful during transitional regimes — a sustained outflow at a market bottom is often a leading indicator of accumulation.

Validator counts and staking ratios. For proof-of-stake chains, the proportion of supply staked tells you something about long-term conviction. Holders who stake are not selling in the near term. A rising stake ratio is structurally bullish for supply availability; a falling one means more supply is liquid and potentially for sale.

On-chain metrics are sensitive to interpretation. Use them to ask questions, not to confirm conclusions you already have.

The signals we do not trust

For balance, here is what we deliberately do not include in our routine. None of these is useless in every context — they all have their adherents — but each fails the test of being consistently actionable.

Pure technical analysis frameworks. Head and shoulders, ascending wedges, Elliott waves, Fibonacci retracements. These work as language for describing what a chart did. They do not work as predictive frameworks once you adjust for confirmation bias. Backtest any of them rigorously and the edge disappears. Patterns are easier to see in hindsight than in real time.

Social media sentiment trackers. Twitter sentiment dashboards, Reddit mention counters, Telegram volume. The signal-to-noise ratio is appalling, and the gameable nature of social media means anyone with budget can manufacture “positive sentiment”. We ignore these.

Generic mainstream-media coverage. If CNBC is excited about crypto, you are late. If they are dismissive, you might be early. But the signal is so vague that you cannot trade off it. We read mainstream coverage to know what civilians think; we do not use it as input to decisions.

Whale alerts. “1,200 BTC moved from unknown wallet to Binance” tweets. These are sensational and almost never actionable. Big wallets move size for dozens of reasons — internal exchange transfers, custodian rebalancing, OTC settlement. The interpretation rate of these movements is well below 50%, and you have no way of knowing which is which.

Single-indicator setups. “RSI over 70 means sell” or “MACD cross is bullish”. These rules have been backtested to death. They do not survive out-of-sample. If they worked, the market would have priced the edge out. The same is true for nearly every Twitter-promoted “simple trading rule”.

The general principle: be sceptical of any signal that sounds easy. Markets are full of people looking for easy signals. The ones that work get arbitraged away. The ones that remain useful are the ones that take judgement to apply.

Putting it together: a morning routine

Here is the actual checklist we run through every weekday morning. It takes about 15 minutes once you know where everything is.

BTC and ETH price + 24h change. Headline. What happened overnight.
BTC dominance, current and 30-day trend. Are we in a BTC regime or an alt regime?
Fear & Greed Index. Where is sentiment sitting?
Aggregate spot volume, top 10 coins, vs 30-day average. Confirming or rejecting the overnight move?
BTC and ETH perp funding rates. How crowded is the leveraged side?
Aggregate open interest for BTC and ETH, change overnight. Is leverage being added or removed?
Stablecoin total supply, 30-day change. Is capital flowing in or out of the system?
Glance at the news. Any regulatory headlines, ETF flows, major exchange events?
Our own forecast for BTC and ETH. What does the model say about today and the week ahead?
Decide what, if anything, to do. Most days the answer is “nothing”. That is correct.

The discipline of running through the same checklist daily filters out a lot of emotional decisions. If nothing on the list has changed meaningfully, your portfolio probably should not change meaningfully either.