Faster100x Alpha English Docs
Introduction
The Faster100x founding team comes from ByteDance, leading DeFi institutions, and seasoned on-chain traders, combining deep expertise across traditional and decentralized finance.
Leveraging high-performance computing and advanced AI models, we’ve built a robust data infrastructure dedicated to delivering reliable, real-time insights for meme coin traders.
We first developed Faster100x.com, now the most widely used on-chain holder distribution and bubble chart analysis tool in the Chinese-speaking market. Integrated with over 20 exchanges and data partners (including Axiom, Binance, GMGN, CoinMarketCap, and Four.meme), it remains the go-to entry-level tool for traders.
Faster100x Alpha is our advanced analytics platform — designed for professional meme traders who need to go beyond surface-level data.
What is Faster100x Alpha?
Faster100x Alpha helps users uncover insiders, coordinated groups, and hidden wallet clusters, while continuously expanding tools for meme coin data analytics.
Our mission is simple: help traders stay ahead of the market by surfacing actionable signals faster than anyone else.
Quick Start
Sign in with your Google account
Go to the Membership Purchase tab
Connect your wallet and complete payment to activate your subscription
Core Features
1. Token Holder Analysis
Why it matters Quickly spot whether multiple tokens are controlled by the same whales or coordinated groups by cross-analyzing top holders. Making it easier to follow their trades.
How it works
Enter the contract address (CA) you want to analyze.
View a list of top holder addresses.
Use the Copy Addresses button to copy all addresses with one click.
At the bottom of the page, you’ll see all other tokens that share common holders with the selected token. You can check specific tokens to analyze shared holders among them.
Example Analysis – Contract $SPARK (5zCETicUCJqJ5Z3wbfFPZqtSpHPYqnggs1wX7ZRpump): When analyzing the common holders across two SPARK tokens, we identified 19 overlapping wallet addresses.
Hovering over any of these addresses brings up quick-action buttons, letting you instantly check wallet activity on platforms like GMGN or Solscan.
And if going through each wallet one by one feels inefficient? That’s where the next feature steps in — batch wallet behavior analysis, giving you a holistic view of trader activity at scale.
2. Token Correlation Matrix
Why it matters Instead of analyzing one token at a time, visualize the network of relationships between multiple tokens in one view.
After entering a contract address (CA), we analyze holder similarity to identify other tokens — such as B, C, D, and E — that are related to token A. These tokens are not only connected to A, but often have even stronger correlations with each other.
This is exactly what the correlation matrix is designed for: it visualizes correlations in a heatmap-style matrix — the brighter the color, the stronger the overlap. Click any matrix cell to view shared holders directly.
3. Address Behavior Analysis
Why it matters Spotting coordinated wallet behavior at scale is critical for detecting insiders, whales, or coordinated groups before the market reacts.
Address Behavior Analysis is built to quickly uncover these behavioral patterns across multiple wallets — making it far more efficient to identify suspicious or whale-controlled addresses.
Getting started is simple:
Paste in either the top holders of a single token or the overlapping addresses across multiple tokens into the tool.
Apply flexible filters such as:
Activity Type
Token (by contract address)
Transaction Amount
Time granularity & custom time range
Example: From the Token Holder Analysis, we identified 11 overlapping addresses. When we imported them into Address Behavior Analysis, the results were clear: aside from one wallet, the rest executed trades almost simultaneously with highly consistent behavior.
This strongly suggests these addresses belong to a single coordinated group or whale operator — a key insight for traders looking to front-run or avoid manipulation.
Export these addresses to Axiom to view and track their trading behavior.
4. Defi Trader Analysis
Why it matters Uncover links between traders across tokens to detect coordinated groups or whale wallets.
Currently, there are three main application scenarios:
High overlap of traded tokens → likely controlled by the same group.
Multiple tokens with the same active traders → wallets probably belong to a coordinated group.
Presence of whales or blue-chip tokens → positive signal of strong Alpha.
5. Similar Trader Analysis
Why it matters Detect Whales/KOL side wallets (alts) and hidden smart wallets used to front-run or exit at better timing
This feature analyzes the historical trading records of top token holders to measure similarity. Generally, when similarity ≥70% = high likelihood of being the same team or operator.
💡 Pro tip: Many KOL alts accumulate early with small wallets, then exit after their main wallet pumps.
6. Chip Trend Analysis
Why it matters See how a cluster’s holdings evolve over time — a direct insider signal.
This feature displays a bubble chart over time to show changes in token-holding ratios of wallets within a cluster, providing an intuitive view of token flow. Allowing a closer look at insiders / clusters token holdings.
Signals
📈 Cluster holdings rising → accumulation → bullish
📉 Cluster holdings falling → distribution → caution
Glossary
Suspected insider: A collection of suspicious addresses, including cluster addresses, bundled addresses, new wallets, and front-running accounts.
Cluster address: Wallets with single-layer or multi-layer fund transfers between them.
Bundling: Multiple buy/sell transactions of the same token occurring in a single block; the participating addresses are considered bundled.
New wallet: Wallet created within the past 7 days.
Phishing & Rat: Suspicious front-running wallets identified through similar behavioral patterns.
Poor: Wallets with a balance < 10 sol, usually retail traders or insider wallets.
Diamond hands & paper hands: Wallets with long-term vs. short-term holding behavior, respectively.
Common Interpretations of Price & Insider Holding Trends
1. Sideways Accumulation
Pattern: Price moves within a narrow range while insider holdings gradually increase.
Signal: Positive — suggests accumulation.
Action: Consider building positions gradually.
2. Uptrend with Insider Growth
Pattern: Price rises alongside increasing insider holdings.
Signal: Strong bullish confirmation.
Action: Chasing or holding longer may yield higher returns.
3. Downtrend with Insider Distribution
Pattern: Price declines while insider holdings rapidly decrease.
Signal: Bearish — indicates distribution/selling.
Action: Avoid buying; consider cutting losses or exiting.
4. Irregular/No Clear Correlation
Pattern: Price and insider holdings move without a consistent relationship.
Signal: Unreliable — likely influenced by retail sentiment, news events, or incomplete insider detection.
Action: Trade cautiously; confirm with other signals.
The tool not only supports viewing token holding trends of preset groups but also allows users to import custom address lists to track token flow of specific wallets.
7. Roadmap
We’re actively building new features (including deeper cluster intelligence and predictive analytics). 💡 Join our community to share feedback, request features, and help shape the roadmap.
FAQ
1. What’s the difference between Faster100x.com and Faster100x Alpha
Faster100x.com → Entry-level tool for token holdings & bubble maps. Simple, beginner-friendly, used by all meme traders.
Website:https://faster100x.com/
Faster100x Alpha → Advanced tool for pros who need deeper insights into wallet behavior, transfer maps, and coordinated clusters. Core tool for full-time meme traders.
Website:https://alpha.faster100x.com/
2. Copying Addresses
Q: I see shared holdings when entering a contract address. Can I copy a single address individually?
A: Currently, addresses can only be copied in bulk. Hovering over a card displays links to GMGN, Solscan and Arkham, which can be opened, but individual copy functionality is not yet available.
3.Defi Trader Analysis vs Similar Trader Analysis
Q: Under Trade Analysis tab, what’s the difference between Defi Trader Analysis and Similar Trader Analysis?
A:
Defi Trader Analysis: Identifies addresses with high overlap in trades.
Similar Trader Analysis: Measures the actual degree of overlap between these addresses. You can also use Address Behavior Analysis for more detailed insights then verify on GMGN.
4. Defi Trader Analysis vs Token Holder Analysis
Q: What’s the difference?
A: Defi Trader Analysis track trading behavior, while Token Holder Analysis track token ownership.
5. Clusters vs Bundlers
Q: What’s the difference between bundlers and clusters?
A:
Cluster: Connected addresses somehow related by past transactions (sending a token or sol over to one another).
Bundlers: Holders who buy the same token within a single block.
6. POOR Label
Q: What does the “POOR” label mean?
A: Wallet balance < 100 USD
7. Top Trader Definition
Q: How is a Top Trader defined?
A: Top 100 traders ranked by PnL on a specific coin
8. Determining Behavioral Consistency
Q: How do you determine consistency of behavior for addresses when using Address Behavior Analysis? A: Typically by analyzing 1-minute and 5-minute transaction intervals
Social Media
Twitter: https://x.com/faster100x_en
User Group: https://t.me/faster100xAlpha
User Channel: http://t.me/Faster100x
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