Overview: What PumpView Signals Actually Tell You
PumpView is a real-time Solana DEX trade scanner that ingests live swaps from Pump.fun, PumpSwap, Raydium (AMM/CPMM/CLMM), RayLaunchpad, Meteora and related pools, then turns that raw flow into structured signals for each token.
According to the public PumpView site, every token is scored and ranked using:
- Buy Score (0–9) built from 8 real-time signals
- 1m & 5m candle price changes plus a green-candle streak counter
- Wash Score (0–100%) based on 4 wash-trading signals
- Early Scanner bubble view for very new launches
- Live Trades and a Solana TPS chart for raw context【turn0search0】
This article focuses on how to turn those signals into concrete strategies rather than just reading the UI.
Important: None of this is financial advice. PumpView surfaces on-chain data; you still control entries, exits, and risk.
Core PumpView Signals You Should Build Strategies Around
From PumpView’s own documentation and FAQ, these are the key mechanics you can rely on:
1. Buy Score (0–9) — Composite Momentum & Quality
PumpView’s Buy Score is a composite of eight signals, including:
- Buy volume dominance (buys vs sells)
- Market-cap-to-volume ratio (MC/Vol)
- Multi-DEX presence (e.g., Pump.fun + Raydium + Meteora)
- Short-term price trend (≈10s)
- Net 30s buy pressure
- Solana TPS context
- Launchpad type
- Wash trading impact
Tokens with Buy Score ≥ 7 and low wash score are explicitly described by PumpView as having strong organic buying momentum【turn0search0】.
How to use it in a strategy:
- Treat Buy Score as a filter, not a blind buy signal.
- Focus on 7–9 as your candidate range, then apply your own checks (chart, liquidity, fundamentals if any).
- Avoid chasing sudden spikes from 2 → 8 without confirming that volume and wallets are real (see Wash Score section).
2. Candle Data & Green-Candle Counter
PumpView tracks:
- 1-minute and 5-minute candle price changes
- Green candles counter (0–5) — how many of the last five 1m candles closed green【turn0search0】
This is short-term momentum in a form that’s easier to scan than a full chart.
How to use it:
- Scalp bias:
- 1m change strongly positive, 5m moderate, 3–5 green candles → sustained micro-trend.
- 1m red but 5m green, and Buy Score still high → possible pullback in an uptrend.
- Combine with external charts on DexScreener or Birdeye to see structure (support/resistance, wicks, etc.).
3. Wash Score (0–100%) — Fake Volume Filter
PumpView computes a Wash Score from four signals over the last ~60 seconds of trades:
- Same-wallet round trips (40% weight) — wallets both buying and selling the same token in the same window
- Top-5 wallet concentration (25%) — if a few wallets dominate volume
- Repeat trading frequency (20%) — high trade-per-wallet rates
- Wallet diversity (15%) — very few unique wallets despite volume【turn0search0】
Tokens with high Wash Score are penalized in the Buy Score ranking【turn0search0】.
How to use it:
- Treat Wash Score > 50% as a hard caution zone.
- For most strategies, prefer Wash Score < 30% and ideally < 15–20%.
- If you do touch high-wash tokens, treat them as pure short-term speculation with tiny size.
4. Early Scanner Bubbles — New Launch Radar
Early Scanner shows very recent launches as bubbles where:
- Bubble size ≈ net delta volume
- Color heat (blue → yellow → red) ≈ activity level
- Green or red ring ≈ net buy vs sell pressure
Clicking a bubble reveals:
- TPS context
- 30s delta
- Buy/sell volume
- MC/Vol ratio
- Price change and token links【turn0search0】
This is essentially a new-token radar before they hit typical trending lists.
How to use it:
- Focus on medium-to-large bubbles with green rings and moderate MC/Vol (not extreme).
- Use it to build watchlists rather than instantly aping every new dot.
Strategy 1: High-Quality Momentum Filter (Hot Tokens)
Goal: Find tokens with real, sustained momentum and avoid wash-traded traps.
Signal rules (PumpView side):
- Buy Score ≥ 7
- Wash Score ≤ 30% (preferably ≤ 20%)
- 1m and 5m price change both positive
- Green candles ≥ 3 out of last 5
Execution workflow:
- Start in Hot Tokens and sort by Buy Score, then visually scan Wash %.
- Shortlist tokens that meet the four rules above.
- For each candidate:
- Open DexScreener or Birdeye for:
- Liquidity size (is there enough depth for your size?)
- Basic structure (not vertical-only, not already parabolic blow-off)
- Check Solscan for:
- Top holders concentration
- Dev wallet behavior (recent large sells, suspicious transfers)
- Only then decide entry and risk.
Why this works:
- You’re stacking independent signals: buy dominance, short-term trend, low wash, and external liquidity/holder checks.
- PumpView’s wash-trading detection is specifically designed to catch fake volume patterns that are now common on Solana memecoins【0reddit18】, so you’re not relying solely on raw volume.
Strategy 2: Early Scanner “Watch Then Strike” Playbook
Goal: Use Early Scanner to spot promising launches early, but avoid blind sniping.
Phase 1 – Discovery (no entries yet):
- Open Early Scanner and watch for:
- Medium/large bubbles turning yellow/red (activity heating up)
- Green outer ring (net buy pressure)
- Click the bubble and inspect:
- MC/Vol ratio — extremely low MC with huge volume can be pure farm/wash; extremely high MC with tiny volume is illiquid.
- 30s delta & net buy volume — is this a one-off spike or building trend?
- Wash Score via Hot Tokens (once it appears there).
Phase 2 – Confirmation (consider small entries):
Once the token appears in Hot Tokens:
- Check for Buy Score ≥ 6 and Wash Score ≤ 30%.
- Confirm there are multiple unique wallets trading (PumpView’s wash model already incorporates wallet diversity, but you can double-check on Solscan).
- Use DexScreener/Birdeye to verify:
- Liquidity pool size is reasonable
- No obvious dev rug behavior (e.g., massive dev sells into first liquidity).
Phase 3 – Scaling or Cutting:
- If Buy Score climbs to 7–9, wash stays low, and 1m/5m candles remain mostly green → you can scale size carefully.
- If Buy Score drops, wash spikes, or green candles disappear → treat it as exhaustion and either tighten stops or exit.
Why this is safer than raw sniping:
- You let on-chain behavior stabilize for a short window instead of buying the very first tick.
- You’re combining Early Scanner’s time advantage with Hot Tokens’ quality filters.
Strategy 3: Wash-Score-Based Avoid List
Goal: Systematically avoid the worst wash-traded tokens, even when they look hot elsewhere.
Wash trading services explicitly advertise generating fake volume and trending on Solana DEX trackers using fresh wallets and coordinated trades【0reddit15】【0reddit21】. PumpView’s Wash Score is built to detect patterns like:
- Same-wallet round trips
- Extreme top-5 wallet volume concentration
- Very high repeat trading frequency
- Low unique wallet counts【turn0search0】
Practical rule set:
- Never open new positions in tokens with Wash Score > 60–70%.
- For Wash Score 40–60%:
- Only trade if you fully understand the risk and size is tiny.
- Treat it as a short-term scalp, not an “investment”.
- For Wash Score < 30%:
- Eligible for normal strategies, but still do external checks.
Implementation tips:
- In Hot Tokens, sort by Wash % to quickly see the worst offenders.
- Maintain a personal avoid list of token addresses that repeatedly show high wash; don’t re-evaluate them every time they pop up.
Strategy 4: TPS-Aware Entries (Avoiding Congestion Traps)
PumpView exposes a live Solana TPS chart with multiple timeframes (Live, 1m, 5m, 15m, 1h, 4h, 1d)【turn0search0】.
High TPS bursts often coincide with:
- Network congestion
- Higher priority fees
- Slippage and failed transactions
How to incorporate TPS into your strategy:
- Before entering a fast-moving token, glance at the TPS tab:
- If TPS is spiking hard and memecoin mania is obvious, assume higher failure risk and wider slippage.
- Adjust:
- Position size down during extreme TPS spikes.
- Slippage tolerance carefully in your wallet or trading interface (Phantom, Jupiter, Raydium, etc.).
- If you’re already in a trade and TPS spikes:
- Consider pre-placing limit/stop orders on a DEX that supports them (e.g., Jupiter limit orders) so you’re not racing the network manually.
You’re not using TPS as a buy/sell signal, but as a risk and execution context overlay.
Strategy 5: Building Custom Signal Rules Around PumpView
PumpView itself provides the core signals, but you can layer them into your own playbook or even external bots.
Example conservative rule set for manual trading:
- Only consider tokens where:
- Buy Score ≥ 7
- Wash Score ≤ 25%
- 5m change > 0%
- Green candles ≥ 3
- Then require all of:
- Liquidity ≥ your minimum threshold (checked on DexScreener/Birdeye)
- No obvious dev dump in last 10–20 minutes (Solscan)
- Reasonable holder distribution (no single wallet holding majority of supply in liquid form)
More aggressive intraday rule set:
- Consider tokens where:
- Buy Score ≥ 6
- Wash Score ≤ 40%
- 1m change > 0%, 5m can be flat or slightly red (looking for early reversal)
- Use tight invalidation (small stop distance) and smaller size.
You can log these rules in a spreadsheet or a small script and then simply feed in PumpView metrics + external data when evaluating each candidate.
How PumpView Complements Other Solana Tools
PumpView isn’t a wallet or a DEX; it’s a signal and scanning layer. You’ll get the best results by pairing it with:
- DexScreener / Birdeye — full charts, liquidity, and multi-pair views.
- Phantom / Solflare — wallets for execution and managing slippage/priority fees.
- Solscan / SolanaFM — token and wallet forensics (holders, dev wallets, contract interactions).
- Jupiter — routing and limit orders for more controlled entries/exits.
PumpView’s edge is real-time, structured signals (Buy Score, Wash Score, Early Scanner, TPS). The other tools handle execution, visualization, and deeper forensics.
Risk Management: Signals Are Not a Shortcut Around Discipline
Even with strong signals, Solana memecoins remain extremely risky:
- Rug pulls and malicious dev behavior are common on Pump.fun and similar launchpads【0reddit20】.
- A token can have great early metrics and still nuke minutes later.
When using PumpView signals:
- Size small relative to your total stack.
- Decide invalidations in advance (price level, time-based exit, or signal deterioration like Buy Score dropping and wash rising).
- Avoid revenge trading when a promising setup fails; there will always be another token in Hot Tokens or Early Scanner.
Conclusion: Turn PumpView From a Dashboard Into a System
PumpView gives Solana traders:
- A Buy Score that compresses eight real-time signals into a 0–9 ranking.
- A Wash Score that actively penalizes fake volume and suspicious wallet patterns.
- An Early Scanner that surfaces new launches as they start trading.
- Live Trades and TPS for raw market context【turn0search0】.
The edge doesn’t come from staring at the numbers; it comes from codifying how you react to them:
- Use Buy Score + candles to define what “good momentum” means for you.
- Use Wash Score as a hard filter against manipulated volume.
- Use Early Scanner for discovery, then confirm with Hot Tokens and external tools.
- Always overlay TPS and basic on-chain checks before committing size.
If you treat PumpView as the signal engine inside a broader, rules-based playbook, you’ll make fewer emotional decisions and rely more on what the Solana chain is actually telling you in real time.