Overview: What PumpView Signals Actually Do
Most Solana scanners show you prices and volume. PumpView goes a step further: it turns raw on‑chain trades from Pump.fun, PumpSwap, Raydium, Meteora and other DEXes into structured signals you can trade from.
PumpView: - Streams every swap from major Solana DEXes in real time. - Scores each token with an 8‑factor Buy Score (0–9). - Computes a Wash Score (0–100%) from four wallet‑level signals. - Tracks 1m/5m candles and green‑candle streaks. - Lets you build custom strategies that generate signals and alerts.
These signals don’t tell you what to buy. They compress noisy on‑chain data into a few numbers you can quickly interpret and plug into your own rules.
All of the mechanics below are based on PumpView’s public feature descriptions and in‑app copy. (pumpview.fun)
Core PumpView Signals You Need to Understand
PumpView’s signal system is built around three pillars:
- Buy Score (0–9) – composite momentum & quality signal.
- Wash Score (0–100%) – fake‑volume / manipulation risk.
- Strategy Signals – alerts generated from your own filters.
Let’s break down how each works and how a trader can actually use them.
1. Buy Score: 8‑Factor View of Token Momentum
Every token in Hot Tokens gets a Buy Score from 0 to 9. Behind that single digit is an 8‑factor model:
- Buy volume dominance – how much of recent volume is buys vs sells.
- Market‑cap‑to‑volume ratio – whether current volume is meaningful for the token’s size.
- Multi‑DEX presence – whether the token trades on multiple venues (e.g., PumpSwap + Raydium + Meteora), which usually indicates broader interest.
- 10‑second price trend – very short‑term price direction.
- Net 30‑second buy pressure – buys vs sells over the last ~30 seconds.
- Solana TPS context – whether the move is happening during high or low network activity.
- Launchpad / venue type – e.g., Pump.fun bonding curve vs Raydium pool.
- Wash trading impact – penalty from the Wash Score.
PumpView also shows: - 1m and 5m candle % change, and - A green‑candles counter (how many of the last 5 one‑minute candles closed green).
Tokens with Buy Score ≥7 and low Wash Score are highlighted in PumpView’s own docs as the strongest candidates for further research, not guaranteed buys.(pumpview.fun)
How to use Buy Score in practice
For intraday Solana traders, Buy Score is most useful as a first‑pass filter:
- Momentum hunting
- Start in Hot Tokens.
- Sort by Buy Score and then by 1m/5m change.
-
Focus on tokens with Score ≥7, positive 1m/5m, and increasing volume.
-
Avoiding weak bounces
- A token might be up big on the day but show a falling Buy Score and flat/negative 1m candles.
-
That often means you’re late to the move; the signal is telling you momentum is decaying.
-
Confirming entries from other tools
- If you find a token via Birdeye or DexScreener, check it in PumpView:
- A high Buy Score with low wash supports the idea that the move is organic.
- A low score or high wash suggests you’re walking into a manufactured pump.
2. Wash Score: 4‑Signal Fake‑Volume Detector
Wash trading and volume bots are rampant on Pump.fun and Solana DEXes. Multiple independent articles and guides highlight same‑wallet round trips, micro‑buys, and bot loops as common manipulation patterns.(webopedia.com)
PumpView addresses this with a Wash Score (0–100%) for every token in Hot Tokens, computed over the last ~60 seconds of trades from four signals:
- Same‑wallet round trips (40% weight)
- Wallets that both buy and sell the same token in the same short window.
-
High share of volume from these wallets is a classic wash‑trading footprint.
-
Top‑5 wallet concentration (25% weight)
- If the top 5 wallets account for a very high share of recent volume, that’s suspicious.
-
Organic markets usually have more distributed flow.
-
Repeat trading frequency (20% weight)
- Average trades per wallet in the window.
-
Extremely high frequency from the same wallets points to coordinated bots.
-
Wallet diversity (15% weight)
- Total unique wallets trading the token.
- Very few unique wallets with big volume is a red flag.
Tokens with Wash Score above ~50% are penalized in the Buy Score ranking and can be sorted to the bottom of Hot Tokens.(pumpview.fun)
How to use Wash Score in practice
- Baseline rule: avoid entering new positions on tokens with Wash Score >50–60%, especially if you’re not an expert in reading raw Solscan traces.
- Compare across tokens: if two tokens have similar Buy Scores but one has 10% wash and the other 65%, the lower‑wash token is almost always the safer choice.
- Re‑check before scaling in: a token can start clean and then become botted later. Before adding size, confirm that Wash Score hasn’t spiked.
3. Strategy Signals & Leaderboard
On top of raw scores, PumpView lets you create custom strategies that turn your filters into concrete signals:
- You define filters (e.g., minimum Buy Score, max Wash Score, market‑cap range, volume, venue mix, etc.).
- PumpView tracks when tokens match your filters and records them as signals.
- Signals are tracked for 24 hours with live performance and ATH% (how far they ran from the signal).
- A strategy leaderboard ranks strategies by win rate and points. (pumpview.fun)
This is where PumpView shifts from “scanner” to signal engine: instead of manually eyeballing Hot Tokens all day, you formalize your rules and let PumpView alert you.
Example: simple momentum strategy template
You might build a basic intraday strategy like:
- Buy Score ≥7
- Wash Score ≤25%
- Market cap between 20k and 400k (early but not dust)
- 1m candle change ≥3% and 5m ≥5%
- At least 20 unique wallets in last 10 minutes (via PumpView metrics)
Every time a token matches, PumpView logs a signal. You can then: - Track hit rate (how many signals go positive by X%). - See ATH% after the signal to calibrate realistic targets. - Adjust filters over time based on actual performance.
How PumpView Signals Fit Into a Full Trading Workflow
PumpView is strongest when you treat it as a first‑stage filter and alert system, then confirm with other tools and your own rules.
Step 1: Use Hot Tokens & Early Scanner to Find Candidates
- Open Hot Tokens to see ranked tokens by Buy Score, volume, market cap, wash %, and green‑candle streaks.(pumpview.fun)
- Use Early Scanner to spot brand‑new launches as bubbles, where:
- Bubble size ≈ recent delta volume.
- Bubble color ≈ activity / intensity.
- Ring color shows buy vs sell pressure. (pumpview.fun)
This gives you a shortlist of tokens worth deeper analysis.
Step 2: Filter by Buy Score + Wash Score
For each candidate:
- Require Buy Score ≥7 for aggressive momentum plays; lower thresholds if you’re more conservative.
- Require Wash Score below your risk tolerance (e.g., ≤20–30% for most traders).
- Prefer tokens with:
- Multiple DEX venues (e.g., PumpSwap + Raydium).(pumpview.fun)
- Consistent green 1m/5m candles rather than a single spike.
This step alone removes a large share of purely manufactured pumps.
Step 3: Confirm on External Tools
Before acting on any PumpView signal, cross‑check:
- Birdeye / DexScreener – confirm liquidity, slippage, and broader price history.
- Solscan / Helius explorer – look at:
- Top holders and their behavior.
- Dev wallet history (e.g., repeated rugs across multiple mints, which PumpView users often call out).(reddit.com)
- Jupiter – if the token is on Raydium/Meteora, check route quality and effective slippage.
PumpView’s signals tell you where to look; these tools help you decide whether to pull the trigger.
Step 4: Turn Your Rules Into Strategies & Alerts
Once you have a rough playbook, encode it as a PumpView strategy:
- Define your entry filters (scores, caps, volume, venues).
- Set alerts so you don’t need to watch the screen constantly.
- Let PumpView log signals for 24 hours and review:
- Which filters correlate with better ATH%.
- How often high‑wash tokens fail vs low‑wash.
Iterate: - If many signals never move, tighten Buy Score or volume filters. - If you’re getting rugged or stuck in illiquid names, increase minimum liquidity / market cap and lower max Wash Score.
Practical Risk Management With PumpView Signals
PumpView is explicit that it’s a real‑time scanner, not financial advice.(pumpview.fun) Signals help you manage information, not risk. You still need a framework.
Here are concrete ways to combine PumpView with basic risk controls:
1. Separate "exploration" from "execution"
- Use Live Trades and TPS (both free, no sign‑in) to understand market conditions: is Solana congested, are bots dominating, is volume concentrated on Pump.fun or Raydium today?(pumpview.fun)
- Only when conditions look reasonable do you start acting on Hot Tokens / strategy signals.
2. Size by signal quality
- For high Buy Score + low Wash Score tokens that also pass external checks, you might allow your max planned size.
- For borderline setups (e.g., decent Buy Score but moderate wash or thin liquidity), cut size aggressively or skip.
3. Use time‑based rules
Because PumpView tracks signal performance over 24h, you can:
- Decide a time stop (e.g., if a signal hasn’t moved +X% within Y minutes, you exit or de‑risk).
- Analyze historically whether your best signals play out quickly or slowly and adjust holding periods.
4. Avoid over‑fitting to one metric
- A high Buy Score with terrible liquidity is still dangerous.
- A low Wash Score on a dead chart doesn’t magically create upside.
Treat PumpView’s metrics as inputs to a decision, not the decision itself.
Access, Costs, and Practical Setup
PumpView uses a pills (💊) system for premium features:
- Free forever: Live Trades and Solana TPS (no account required).
- Pill‑gated: Hot Tokens, Early Scanner, and Signals/Strategies.(pumpview.fun)
- New users get a 222‑pill signup bonus, and you can earn more via referrals and daily tasks (check‑ins, sharing on X, running profitable strategies, chat activity, and special “moonshot”/referral milestones).(pumpview.fun)
Pills only drain while a premium tab is open, so a practical setup is:
- Keep Live Trades + TPS open as your baseline view.
- Open Hot Tokens / Early Scanner in focused sessions when you’re actively hunting.
- Configure alerts so you don’t need to sit in the app 24/7.
Conclusion: Turning PumpView Signals Into an Edge
PumpView’s value isn’t just that it shows you trades; it structures Solana DEX chaos into:
- A Buy Score that condenses 8 real‑time factors.
- A Wash Score that catches four classic manipulation patterns.
- Custom strategies and signals that log performance over 24 hours.
Used correctly, these signals help you: - Focus on tokens with real, organic momentum instead of pure noise. - Systematically avoid obvious wash‑traded traps. - Turn your subjective “this looks good” rules into testable strategies with real stats.
They don’t remove risk, and they don’t replace your own due diligence. But for Solana traders who already use tools like Birdeye, DexScreener, Jupiter, and Solscan, PumpView’s signals can be the first filter and alert layer that makes everything else more efficient.
If you’re trading Solana memecoins or long‑tail tokens, learning to read and configure PumpView’s signals is one of the most practical upgrades you can make to your workflow.