How to Screen Altcoins
A repeatable four-layer process for cutting thousands of tokens down to a shortlist
Screening Is Elimination, Not Discovery
There are thousands of altcoins and only a handful worth your attention on any given week. The job of a screener is not to reveal a hidden gem. It is to remove candidates fast, in a fixed order, so you stop spending evenings reading about assets that were never tradeable in the first place.
Order matters. Most traders screen for price movement first because it is exciting, then discover the asset is too thin to exit, or that the rally already exhausted. Screening for the boring constraints first saves the most time.
The four layers below run cheapest to most expensive: each one removes candidates without requiring you to think about the project at all.
Layer 1 — Liquidity First
If you cannot get out, the trade was never yours to make. Liquidity is the first filter, always.
- 24-hour volume — as a rough floor, prefer assets doing at least $10M in genuine daily volume.
- Volume versus its 30-day average — volume far below average means interest is fading; volume far above it is often a one-off news spike.
- Spread and depth — a wide bid-ask spread means you pay a hidden fee on entry and exit. Thin order books make a stop-loss unreliable.
This single layer removes the majority of small-cap tokens before you have spent any time on them. The mechanics of why this matters are covered in volume analysis in Web3.
Layer 2 — Trend Structure
Next, ask a single question on the daily chart: is this asset above or below its long-term averages, and is the sequence of highs and lows intact?
A practical check, in order:
- Position versus the 200-period EMA — the classic line between a constructive and a broken market. See moving averages in AI trading.
- Higher highs and higher lows — or the opposite. A chart making lower highs is not a dip, it is a downtrend.
- Where price sits in its range — near the top of a multi-month range carries different risk to the middle of it.
Structure is context, not a trigger. It tells you which side of the market is the expensive one to fight.
Layer 3 — Momentum
Now you can look at movement, but read it as momentum rather than excitement. Two questions:
- Is momentum building or fading? A MACD histogram turning positive and RSI recovering from a low is a different condition to RSI at 85 after a vertical move. Read how the MACD works and how to read RSI before using either as a filter.
- Is momentum agreeing with price? When price and momentum disagree, the trend is tiring — that is RSI divergence, and it belongs in your notes, not your entry.
A composite score is useful at this layer because it forces several momentum inputs to agree before an asset looks strong. That is what the TrAIde Score does across cycle position, momentum, RSI strength and liquidity.
Layer 4 — Only Now Read the Project
If an asset has survived liquidity, structure and momentum filters, it has earned fifteen minutes of your research time. Until then, reading a whitepaper is procrastination with extra steps.
When you do open the research, keep it tight:
- What unlocks next? Token unlocks and emissions schedules dilute price regardless of how good the technology is.
- Who is still building? A quiet repository and an absent team are their own sell signal.
- What would make you wrong? If you cannot name an invalidation point before entering, you are not ready to enter.
Screening in Practice
Run all four layers on a fixed schedule rather than continuously. Once a week is enough for swing trading and prevents the screen from becoming a slot machine. Save the resulting shortlist, then work only from that list during the week.
Two habits make the process much stronger. First, record why each asset passed each layer, so a month later you can tell whether the process or the market was wrong. Second, cap the shortlist. A list of forty names is a list you are not really following.
To run layers one to three in one pass, use the altcoin screener, which ranks assets on liquidity health, volume intensity and the TrAIde Score together. For a deeper read on a single candidate, run it through the AI chart analysis tool, and if you want to see how position sizing fits around that process, the portfolio tracker is the next step.