Why Hot Tokens Matters for Solana Traders
On Solana, new tokens can go from launch to full blow‑off top in under an hour. If you wait for centralized exchanges or social media to tell you what’s moving, you’re late.
PumpView’s Hot Tokens view is designed specifically for this problem. It sits on top of a real‑time feed of swaps from Pump.fun / PumpSwap, Raydium (AMM, CPMM, CLMM, launchpad), Meteora (including dynamic pools), RayLaunchpad and other venues, all streamed directly from on‑chain events without deliberate sampling delay. (pumpview.fun)
Instead of scrolling endless charts, Hot Tokens gives you a ranked list of where flow is concentrating right now, with:
- Buy Score (0–12) – composite momentum score from multiple real‑time signals
- Wash Score (0–100%) – four‑signal wash trading detection
- Volume, market cap, TPS context – so you can judge liquidity and activity
- 1m / 5m candles + green streak counter – short‑term price structure
- Multi‑DEX presence & venue labels – where the token is actually trading
Used correctly, Hot Tokens is not a buy list. It’s a scanner that tells you which tokens deserve deeper research right now.
This article focuses on practical usage: how to read Hot Tokens, combine Buy Score and Wash Score, and plug the data into a concrete trading workflow.
What Hot Tokens Is Actually Showing You
Open the Hot Tokens tab in PumpView and you’ll see a live‑updating table. Under the hood, PumpView is ingesting every swap from supported Solana DEXes and launchpads, then aggregating that raw stream into per‑token metrics. (pumpview.fun)
Key columns you’ll typically see:
- Token – name + icon, with venue tags (e.g., Pump.fun, Raydium, Meteora)
- Buy Score (0–12) – higher = stronger short‑term buy pressure
- Wash % (0–100%) – higher = more likely that a chunk of volume is fake
- Volume / MC – liquidity and size context
- 1m / 5m % – price change over last 1 and 5 minutes
- Green candles – how many of the last 5 one‑minute candles closed green
The table is ranked by Buy Score by default, then refined by other metrics like volume and wash trading impact. (pumpview.fun)
Your job as a trader is not to click the top row and market buy. Your job is to:
- Use Hot Tokens to narrow the universe from thousands of tokens to a handful with real flow.
- Use external tools (Birdeye, DexScreener, Solscan, Phantom, etc.) plus your own rules to decide whether to trade.
How Buy Score Is Calculated (and What It Really Means)
The Buy Score in Hot Tokens is a compact summary of multiple real‑time signals. According to PumpView’s own Hot Tokens page, the score (0–12) combines: (pumpview.fun)
- Buy volume dominance – how much of recent volume is buys vs sells
- Market‑cap‑to‑volume ratio – is the token’s volume healthy relative to its size?
- Multi‑DEX presence – is it trading on more than one venue?
- 10‑second price trend – very short‑term direction
- Net 30‑second buy pressure – buys minus sells over the last ~30 seconds
- Transactions per second (TPS) – activity intensity
- Launchpad type – e.g., Pump.fun vs Raydium vs Meteora
- Wash trading impact – penalty if activity looks fake
On top of that, Hot Tokens shows 1‑minute and 5‑minute candle changes and a green candles counter (how many of the last 5 one‑minute candles closed green) so you can see whether momentum is sustained or just a single spike. (pumpview.fun)
How to interpret Buy Score in practice
A few practical rules of thumb that align with PumpView’s own guidance: (pumpview.fun)
- 0–3 – background noise. Either very early, very illiquid, or mostly selling.
- 4–6 – mixed flow. Some buying, but not clearly dominant.
- 7–9+ – strong short‑term buy pressure and activity.
- 10–12 – very intense, often short‑lived bursts of flow (can be organic or manufactured; you must check Wash %).
The key is context:
- A high Buy Score on tiny volume can be fragile.
- A moderate Buy Score on growing volume can be more sustainable.
- A high Buy Score that survives for multiple minutes with a strong green candle streak is more interesting than a single spike.
How Wash Score Works (and Why You Should Care)
Pump.fun and Solana meme markets are heavily manipulated. Academic work on pump.fun has documented large‑scale wash trading, coordinated buyer cohorts and other tactics designed to fake momentum. (arxiv.org)
PumpView tackles this directly with a Wash Score (0–100%) for every token in Hot Tokens. The official docs describe a four‑signal model over the last ~60 seconds of trades: (pumpview.fun)
- Same‑wallet round trips (40% weight) – wallets that both buy and sell the same token in the same window, by volume share.
- Top‑5 wallet concentration (25%) – if a handful of wallets dominate volume, that’s suspicious.
- Repeat trading frequency (20%) – very high trades‑per‑wallet can signal coordinated ping‑pong.
- Wallet diversity (15%) – very few unique wallets despite high volume is a red flag.
Tokens with high Wash % are penalized in Buy Score, so it’s harder for a heavily wash‑traded coin to sit at the top of Hot Tokens unless there’s also real organic demand. (pumpview.fun)
Practical Wash Score thresholds
You can’t treat Wash % as an oracle, but you can use it to avoid obvious traps:
- 0–20% – usually low concern; flow looks relatively organic.
- 20–50% – mixed; some suspicious behavior. Proceed carefully.
- 50%+ – a large chunk of volume is likely non‑organic. Treat any momentum as suspect.
A simple rule many traders adopt: don’t touch tokens with Wash % above your personal threshold, or at least size much smaller.
Reading the Table: A Step‑by‑Step Usage Pattern
Here’s a concrete way to work through Hot Tokens without getting overwhelmed.
1. Start with basic filters
On the Hot Tokens page you can sort and filter by Buy Score, Wash %, volume and other columns. (pumpview.fun) A practical starting setup:
- Sort by Buy Score (descending).
- Filter out very low volume (e.g., ignore anything below your minimum trade size x 10).
- Filter out high Wash % (e.g., hide tokens above 50% Wash).
This immediately turns a chaotic market into a shortlist of tokens with real buy pressure and at least somewhat organic flow.
2. Check 1m / 5m candles and green streak
For each candidate token:
- Look at 1m % and 5m % – are they both positive, or is the move already fading?
- Check the green candles counter – if 4–5 of the last 5 candles are green, you’re looking at sustained buying, not just a single wick. (pumpview.fun)
Tokens with Buy Score ≥ 7, low Wash %, positive 1m and 5m, and a strong green streak are your highest‑priority research targets.
3. Confirm venue and liquidity
Next, look at where the token is trading and how deep the liquidity is:
- Use the venue labels in Hot Tokens to see if it’s on Pump.fun / PumpSwap, Raydium, Meteora, etc.
- Click through to Birdeye or DexScreener to inspect:
- Pool liquidity
- Slippage at your intended size
- Basic price structure (parabolic, grinding, chopping)
Never rely on a high Buy Score alone. Always confirm that you can actually enter and exit without eating 20–30% slippage.
4. Cross‑check on Solscan and your wallet
Before trading, sanity‑check the token’s on‑chain state:
- Open Solscan for the token mint:
- Is the mint authority revoked?
- Is freeze authority disabled?
- Is liquidity locked or burned (if applicable)?
- In Phantom (or your wallet of choice), simulate a small swap and confirm:
- The token metadata looks sane.
- There are no obvious transfer restrictions.
Hot Tokens tells you where flow is, not whether the token is safe. Basic rug‑check hygiene is still your responsibility.
Combining Hot Tokens with Early Scanner and Signals
Hot Tokens is most powerful when you use it together with PumpView’s other views.
Early Scanner → Hot Tokens
The Early Scanner view in PumpView uses the same underlying trade stream and visualizes very new tokens as bubbles (size ≈ delta volume, color ≈ activity score, ring ≈ buy/sell pressure). (pumpview.fun)
A common workflow:
- Watch Early Scanner for new launches with strong early buy pressure.
- When one of those tokens later appears in Hot Tokens with Buy Score ≥ your threshold and low Wash %, it’s a strong signal that early interest is turning into broader flow.
Signals watching Hot Tokens
PumpView’s Signals & Strategies system can monitor both Early Scanner and Hot Tokens and fire when your conditions are met (for example: “Early Scanner token that later hits Buy Score ≥ 7 in Hot Tokens with low Wash %”). (pumpview.fun)
This lets you:
- Define your own Hot Tokens‑based rules (Buy Score, Wash %, volume, venue, etc.).
- Receive alerts when those conditions are met, instead of staring at the screen all day.
- Back‑test which combinations of Hot Tokens conditions historically led to better outcomes.
Concrete Usage Patterns for Different Trader Types
1. The short‑term momentum scalper
If you’re trading very short timeframes:
- Primary filter: Buy Score ≥ 8
- Secondary filters:
- Wash % ≤ 30–40%
- 1m % and 5m % both positive
- Green candles ≥ 3/5
- Action:
- Use Hot Tokens to locate 2–3 top candidates.
- Confirm liquidity on Birdeye / DexScreener.
- Set tight invalidation (e.g., if Buy Score drops below 6 or 1m candle flips hard red, you’re out).
2. The “early but not first” rider
If you don’t want to snipe the first buyers but still want early entries:
- Start in Early Scanner to see what’s launching.
- Wait until a token:
- Appears in Hot Tokens
- Reaches Buy Score ≥ 7
- Has Wash % ≤ your threshold
- Confirm that:
- Liquidity has grown to a level you’re comfortable with.
- The token is now trading on at least one major DEX (Raydium / Meteora) in addition to the launchpad, if that’s part of your criteria.
3. The “avoid fake pumps” risk‑first trader
If your main goal is to avoid being exit liquidity for wash‑traded pumps:
- Sort by Wash % (ascending) in Hot Tokens.
- Focus on tokens that:
- Have low Wash %
- Still show Buy Score ≥ 6–7
- Have reasonable volume and positive 5m %
- Use this as a curated watchlist of tokens where flow looks comparatively clean.
This is especially relevant given documented patterns of wash trading and coordinated buyer cohorts on pump.fun‑style markets. (arxiv.org)
Practical Risk Management When Using Hot Tokens
Hot Tokens can surface real opportunities, but it can’t remove risk. A few grounded guidelines:
- Never treat Buy Score as a guarantee. It’s a snapshot of recent order flow, not a prediction.
- Respect Wash %. If you choose to trade high‑Wash tokens, size down and assume you might be trading against a coordinated group.
- Watch how scores evolve. A token that holds a strong Buy Score with low Wash % over several minutes is very different from one that spikes for 30 seconds and disappears.
- Check external data. Always confirm liquidity, slippage and basic contract safety with Birdeye, DexScreener, Solscan and your wallet.
- Use alerts, not FOMO. Let PumpView Signals watch Hot Tokens for your conditions instead of chasing every spike manually.
Putting It All Together
PumpView’s Hot Tokens view is a real‑time scanner for Solana DEX flow, built on top of direct on‑chain swap data from Pump.fun / PumpSwap, Raydium, Meteora and other venues. (pumpview.fun)
Used well, it helps you:
- See where buy pressure is actually concentrating right now.
- Filter out a large share of wash‑traded and manufactured volume.
- Combine Buy Score, Wash %, short‑term candles and venue info into a focused shortlist of tokens worth deeper research.
It does not replace your own risk checks, liquidity analysis or discipline. But in a market where new Solana tokens appear every minute and manipulation is well‑documented, having a structured, data‑driven view like Hot Tokens is a significant edge over trading purely off social feeds or random charts.
If you’re already trading Solana memecoins, the fastest way to improve your process is simple: stop scrolling blindly and start every session with Hot Tokens, then let that ranked, real‑time view tell you where to look next.