Yesterday, 53,211 new tokens launched on Solana. I traded five of them. Three were profitable. That ratio — five out of fifty thousand — might sound absurd, but it is the entire game. The traders who lose money in memecoins are not the ones who miss a moonshot. They are the ones who never learned to filter.
I have been tracking new Solana tokens full-time for the better part of a year now. What started as degen gambling has turned into a repeatable, almost boring process. I run every token through a six-layer funnel. Each layer eliminates roughly 80-95% of what remains. By the end, I am left with a handful of tokens that are actually worth risking capital on.
This post is that exact funnel, step by step. No theory. No “do your own research” hand-waving. Just the filters I apply, the thresholds I use, and the tools that make it possible without staring at a screen for sixteen hours a day.
The Funnel: From 50,000 to 5
Before diving into each filter, here is how the numbers break down at each stage:
| Stage | Filter Applied | Tokens Remaining | % Eliminated |
|---|---|---|---|
| Raw feed | None | ~50,000 | — |
| Filter 1 | Source quality | ~8,000 | 84% |
| Filter 2 | Minimum liquidity | ~1,200 | 85% |
| Filter 3 | Safety screening | ~250 | 79% |
| Filter 4 | Holder growth pattern | ~50 | 80% |
| Filter 5 | Volume-to-liquidity ratio | ~15 | 70% |
| Filter 6 | Community signals | ~5 | 67% |
Each filter is binary. A token either passes or it does not. No “maybe” pile. No “I’ll check later.” Ambiguity is how you end up holding a rug.
Filter 1: Source Quality — Where the Token Was Born Matters
Not all launchpads are equal. The vast majority of those 50,000 daily tokens come from no-name deployers using raw contract deployments. These are overwhelmingly scams, test tokens, or abandoned experiments. I do not even look at them.
My feed starts with two sources:
- Pump.fun new tokens — the dominant launchpad for Solana memecoins. The bonding curve mechanism means every token starts with at least some baseline of structure. Not safety — structure. Here is a full breakdown of how Pump.fun works if you are unfamiliar.
- Moonshot tokens surfacing on DexScreener — these have already passed DexScreener’s minimum visibility threshold, which filters out the most obvious garbage.
I also pay close attention to pump.fun new tokens that migrate to Raydium. Migration means the bonding curve filled completely — enough buyers showed up to graduate the token to a real DEX. That alone is a signal. Roughly 2-3% of pump.fun launches ever migrate. Those are the ones worth watching.
A good memecoin screener should let you filter by source. If yours does not, you are manually doing work that software should handle. I use TokenRadar to monitor these feeds in real time, but whatever tool you choose, source filtering is non-negotiable.
Filter 2: Minimum Liquidity Threshold
A token with $200 in liquidity is not a trading opportunity. It is a trap. You cannot enter or exit a position of any meaningful size without moving the price against yourself.
My minimum thresholds:
- For pump.fun tokens still on the bonding curve: at least $15,000 in market cap (roughly 60-70% through the bonding curve)
- For migrated tokens on Raydium: at least $5,000 in pooled liquidity
- For Moonshot tokens: at least $8,000 in liquidity
These numbers are not arbitrary. They represent the minimum depth where I can enter a $200-500 position and exit within a few percentage points of slippage. If you are trading larger sizes, raise these floors accordingly.
Understanding what liquidity actually means in crypto and why it matters will save you more money than any single trade ever will. Illiquid tokens are where most beginners get destroyed — they buy in, the price looks great on the chart, and then they discover they cannot sell without cratering it.
This single filter eliminates roughly 85% of the source-filtered tokens. Most new Solana tokens never accumulate meaningful liquidity. They launch, get a handful of buys from bots, and flatline.
Filter 3: Safety Basics — Automated Screening
Here is where a proper solana memecoin tracker earns its keep. Manual safety checks on 1,200 tokens per day are impossible. You need automated screening.
The checks I require a token to pass:
- Mint authority revoked — the deployer cannot create new tokens and dilute your position
- Freeze authority revoked — no one can freeze your tokens in your wallet
- No suspicious top-holder concentration — if one wallet holds more than 15% of supply (excluding the liquidity pool), it is a skip
- Liquidity burned or locked — the deployer cannot pull the rug by removing liquidity
- RugCheck score within acceptable range — I use this as a composite sanity check, not as a sole decision maker
I have written a complete Solana token safety checklist that covers each of these in detail. If you are not checking all five, you are gambling with a blindfold on.
A dedicated memecoin screener can run these checks automatically as tokens enter the feed. TokenRadar, for example, enriches each token with safety data within minutes of detection. The point is not which tool you use — the point is that this step must be automated or you will either skip it (dangerous) or burn out doing it manually (unsustainable).
After safety screening, roughly 250 tokens remain. That still sounds like a lot, but we are getting into territory where the remaining tokens have at least proven they are not obvious scams with actual liquidity behind them.
Filter 4: Holder Growth Pattern
This is where analysis shifts from “is this token safe?” to “is this token alive?”
A token can pass every safety check and still be dead. What I want to see is organic holder growth — not a spike of 50 wallets in the first minute (that is bot activity), but a steady climb over the first 30-60 minutes.
What I look for:
- Holder count above 100 within the first hour — below this and there is not enough interest to sustain momentum
- Growth rate that is accelerating, not decelerating — if the token gained 80 holders in minute 1-15 and only 10 in minute 15-30, interest is dying
- Wallet diversity — are the holders unique wallets or is one entity spreading across many? Check the top 10 holders for connected wallets (same funding source, same timing)
I track holder count over time using a solana memecoin tracker that polls on-chain data. The key insight most people miss: absolute holder count matters less than the shape of the growth curve. A token with 80 holders and an accelerating curve is a better candidate than one with 200 holders and a flat line.
This filter is the hardest to automate fully. I use automated alerts for tokens crossing holder thresholds, but the growth-pattern assessment still requires a few seconds of human judgment per token. At 250 candidates, that is manageable.
Filter 5: Volume-to-Liquidity Ratio
This is the filter that separates tokens people are actually trading from tokens people are just holding (or have forgotten about).
The formula is simple:
V/L Ratio = 24h Trading Volume / Total Pooled Liquidity
My thresholds:
| V/L Ratio | Interpretation | Action |
|---|---|---|
| Below 0.5 | Low activity, likely stagnant | Skip |
| 0.5 – 2.0 | Moderate interest | Watch |
| 2.0 – 8.0 | Strong trading activity relative to liquidity | Candidate |
| Above 8.0 | Suspicious — possible wash trading | Skip |
The sweet spot is 2.0 to 8.0. Below that, the token is not generating enough interest to produce short-term price movement. Above that, someone is likely artificially inflating volume — and when they stop, the token collapses.
For new Solana tokens that are only a few hours old, I adjust these numbers downward since they have not had a full 24 hours to accumulate volume. For tokens under 6 hours old, I look at a V/L ratio of 1.0+ as a positive signal.
This filter cuts the remaining pool from about 50 to about 15. These 15 tokens have real liquidity, pass safety checks, have growing holder bases, and are being actively traded. We are close.
Filter 6: Community Signals
The final filter is the most subjective, and I have gone back and forth on whether to include it. But honestly, community matters — especially for memecoins where the entire value proposition is social momentum.
What I check in 60 seconds or less per token:
- Does a Telegram or Discord exist? If no, skip. A memecoin without a community channel is a memecoin without a community.
- Is the chat active with real messages? Bot spam and “LFG” walls do not count. I want to see people asking questions, sharing memes, discussing the token.
- Is there a Twitter/X account with organic engagement? Replies and quote tweets matter more than follower count. A 200-follower account with genuine replies beats a 10,000-follower account with bot comments.
- Is there a narrative? The best-performing memecoins attach to something — a trend, a cultural moment, a meme format. A token called “DOGWIFHAT2” with no original angle is derivative. A token that captures a trending moment has momentum potential.
I spend no more than 60 seconds on this step per token. If the community signal is not immediately obvious, that itself is a signal — skip it.
After this final pass, I am left with roughly 5 tokens. Some days it is 3. Some days it is 8. The number does not matter. What matters is that every token on this shortlist has survived six layers of increasingly selective filtering.
The Final 5: What “Worth Trading” Actually Looks Like
A token that survives all six filters typically looks like this:
- Launched on a reputable platform (usually pump.fun, often already migrated to Raydium)
- Liquidity above $5,000, often $10,000-30,000
- Mint and freeze authority revoked, no suspicious holder concentration
- 100+ holders with an accelerating growth curve
- V/L ratio between 2.0 and 8.0
- Active community with organic engagement and a clear narrative
These are not guaranteed winners. Nothing in this market is guaranteed. But they are tokens where the risk-reward ratio makes sense. You are not blindly aping into a random contract address. You are entering a position in a token that has demonstrated real demand across multiple independent metrics.
My typical approach with the final 5: I enter small positions in 3-4 of them, set stop losses at 30-40% below entry, and let the winners run with trailing stops. On average, 1-2 out of 5 produce meaningful gains. The key is that my losses are capped and my winners are uncapped.
Why Most People Never Filter
I talk to new memecoin traders regularly, and the pattern is always the same. They find a token through Twitter, a Telegram call group, or by scrolling a raw feed of pump.fun new tokens. They see a price going up. They buy. No safety check. No liquidity analysis. No holder data. Nothing.
And sometimes it works. That is the cruel part. Random entries occasionally hit, and that intermittent reinforcement keeps people coming back without a process. It is the slot machine effect applied to trading.
The math, though, is unforgiving. If you are randomly selecting from 50,000 daily tokens, the base rate for picking something that even goes up 2x is well below 1%. Factor in rugs, honeypots, and liquidity pulls, and you are playing with a massively negative expected value.
A memecoin screener with proper filters flips that equation. You are no longer picking from 50,000. You are picking from 5. And those 5 have already demonstrated the characteristics that correlate with short-term price appreciation.
The setup cost is a few hours — learning what each filter means, configuring your tools, and running through the process manually a few times until it becomes second nature. Comparing the best Solana memecoin trackers is a good starting point for finding tools that support this workflow.
After that, the daily time investment is about 30-45 minutes. Scan the filtered feed. Check the shortlist. Enter positions. Manage stops. That is it.
Fifty thousand tokens launch every day. You do not need to see all of them. You need to see the right five. Build the funnel, trust the process, and let the filters do the work that your emotions should never be doing.