Every individual coin's chart lives inside a larger structure: where the whole market sits in its cycle, which sectors capital is rotating into, how much of a coin's volume is real, and whether a price target is a forecast or a scenario. This guide is the top-down half of analysis, the part that decides what is worth looking at before the chart decides where to look.
No page on this site, including the coin price prediction pages, knows a future price. Forecasts here are conditional scenarios: if these things happen, this range becomes plausible. Reading them any other way is the most common way to lose money on them.
Published September 3, 2026.
Cycles: the structure above every chart
Crypto markets have moved in multi-year cycles: extended advances driven by new capital and leverage, followed by declines in which most assets lose the majority of their value and many never recover. Where the market sits in that cycle changes what every other signal means. A breakout in the late stage of an advance is a very different bet from the same breakout early in a recovery; a coin that is "cheap" by 80% in a bear market is usually still expensive relative to the capital that is going to be available for it.
The market cycles guide covers the phases and their tells. For the purposes of this guide, three practical readings matter:
- Bitcoin's structure on the weekly chart is the market's structure. The Bitcoin page discusses its levels; a market where Bitcoin is below its yearly pivot and making lower weekly highs is not a market for aggressive altcoin longs, whatever a single altcoin chart shows.
- Breadth. How many coins are above their own weekly pivots and rising moving averages. Advances led by a handful of coins while the rest deteriorate are late.
- Leverage and funding. Persistently high perpetual funding rates mean the market is long on borrowed money, and borrowed money is what turns pullbacks into cascades.
Sectors: what a coin is, before what it costs
Coins are not interchangeable bets on "crypto". They belong to sectors with different drivers, and capital rotates between sectors within a cycle. The coin pages in the price predictions hub are grouped this way:
| Sector | What drives it | What to check |
|---|---|---|
| Store of value (Bitcoin) | Macro liquidity, institutional flows, halving supply schedule | Weekly structure, spot volumes across venues |
| Smart-contract layer 1s | Developer activity, fees paid, stablecoin balances on the chain | Whether usage grows without incentives |
| Layer 2s and scaling | Transaction share of the parent chain, sequencer revenue | Token supply unlocks against demand |
| DeFi | Total value locked, protocol revenue, token value accrual | Whether the token captures the protocol's revenue at all |
| Infrastructure and data | Adoption by other protocols, service revenue | Real demand versus token-incentivised demand |
| Payments and settlement | Transaction volume, regulatory clarity | Whether volume comes from users or from the network's own activity |
| Gaming and metaverse | Active users, in-game economies | Users who are not there for the token |
| Meme coins | Attention, liquidity, launch mechanics | Liquidity depth, holder concentration, contract controls |
The how to evaluate which crypto to buy guide turns this table into a seven-part scoring framework and a workflow, and is explicit about the red flags that end a review early.
Narratives, trending lists, and attention
Most short-term capital rotation follows a narrative: an ecosystem, a category, an event. Trending lists on exchanges and social feeds are where narratives become visible, and they are useful for one thing only: telling you what other people are already looking at. By the time a coin trends, a large part of the move it is trending for has happened. The trending coins tracker guide shows how to classify a momentum signal before deciding anything about it, and why "trending" and "tradeable" are different tests.
The useful discipline is to separate attention from information. Attention is measurable and fast: mentions, list positions, volume spikes. Information is slow: a contract audit, a revenue figure, an unlock schedule. Trading attention is a legitimate short-horizon activity with tight risk controls; confusing it with information is how people end up holding a narrative after the attention has moved on. The FOMO psychology guide covers the personal side of that mistake.
New launches and meme coins: where volume lies
The fastest-moving corner of the market is also the one where the usual signals fail. Volume can be manufactured, holders can be bot wallets, and a token's contract can allow its creator to freeze transfers or mint supply. Reading this corner is a screening problem, and the screens come before any chart:
- Liquidity relative to market cap. A token showing a large market cap on thin pool liquidity has a price that cannot be realised. Liquidity depth is the first number FullSwing's discovery screens check on every new launch, before volume.
- Two-sided activity. Real interest shows as buys and sells from many wallets over a day, not a burst of buys from a few.
- Persistence. A launch that is still active and holding its market cap hours after it first appears is a different asset from one that appeared once. Confirmation over time beats any snapshot.
- Contract and holder controls. Mint authority, freeze authority, tax settings, and holder concentration are checkable before a single candle matters.
The meme coin trading strategies guide is the full six-step review, written as a process that usually ends in "avoid". FullSwing's own discovery alerts follow the same order, and every flagged launch is graded later against what it actually did so the screens can be tightened on evidence rather than opinion.
Venues: where the price is made
The same coin trades on centralised exchanges, on decentralised exchanges, and on perpetual-futures venues, and the venue changes the analysis. Centralised spot venues carry counterparty risk and provide the deepest books for large coins. Decentralised exchanges are where new tokens exist first and where liquidity depth is the real constraint. Perpetual venues add funding rates and liquidation mechanics that can move price independently of spot demand. The Hyperliquid guide is a worked example of how a perpetual venue's mechanics shape the trades available on it, and the wallet security guide covers the custody decisions that come with moving between venues.
How to read a price prediction
A responsible price scenario states its conditions. "If Bitcoin holds its yearly pivot and altcoin breadth expands, a retest of the prior high is plausible" is a scenario with an invalidation. "$X by December" is a number with a date. The coin pages in the predictions hub are written as scenarios: bull, base, and bear cases tied to observable conditions, with the current structure and key levels alongside. The XRP $1,000 analysis is an extended example of doing the arithmetic on a popular target and showing what would have to be true.
Use a forecast to generate questions, not positions. If the base case requires a condition, the condition is the thing to watch; when it appears, the chart analysis guide takes over and finds the level and the entry, and the risk management guide decides the size.
A top-down workflow
Market. Bitcoin's weekly structure, breadth, funding. Decide whether the environment supports the kind of trade you are looking for at all.
Sector. Which sectors are attracting capital, and whether that is narrative or usage.
Coin. Score it with the evaluation framework; screen new launches before anything else.
Chart, then size. Levels and triggers from the chart analysis guide; quantity from the position size calculator and the loss budget.
Record and revisit. The thesis, its conditions, and its outcome in the journal; the market's own grading of alerts is in the Alert Explorer.
Supply, unlocks, and dilution: the demand a chart cannot see
Price is set by the supply available to trade, not by the supply that exists. Two coins with the same market capitalisation can be very different bets if one has most of its supply circulating and the other has most of it locked in team, investor, or foundation allocations that unlock on a schedule. Every scheduled unlock is future selling pressure that the chart has not priced, and it is public information.
Check three figures before evaluating any non-Bitcoin asset:
- Circulating versus fully diluted valuation. A fully diluted valuation several times the circulating market cap means the token's price has to absorb a multiple of today's supply. Market-data sites publish both figures; the methodology behind them is worth reading once.
- The unlock calendar. Large cliffs (a single date when a big allocation becomes liquid) matter more than linear vesting. A strong chart into a cliff is often a distribution setup, not an accumulation one.
- Who holds the supply. Concentrated holdings in a few wallets, whether a foundation or early investors, are a governance and liquidity risk that a decentralised narrative does not remove.
None of this predicts the price. It changes the probability that a given chart pattern resolves upward, which is the only kind of edge top-down analysis provides.
A worked example: reading a coin page on this site
Take any coin page from the predictions hub and read it in this order. First the sector: what the coin is for and what drives its category, from the table above. Second the cycle context: where Bitcoin's structure and market breadth sit, which decides whether the bull scenario on the page is a near-term possibility or a next-cycle one. Third the scenario conditions: each case on the page names the things that would have to be true, and those are the watchlist, not the price. Fourth the levels: the support and resistance the page discusses are where the chart method takes over. Only then does a number on the page mean anything, and it means "plausible under these conditions", nothing more.
Read this way, a prediction page is a research brief. Read as a target, it is a lottery ticket with a date on it, and the reasons traders lose money guide explains what happens to lottery tickets bought with leverage.
Sources
- CoinGecko: Methodology — how market capitalisation, volume, and liquidity figures are calculated and what they exclude.
- BIS Working Paper 1049 — retail adoption and trading behaviour across the 2015–2022 cycles.
- FINRA: Crypto assets — investor guidance on crypto-asset products and the risks of trading platforms.
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