Meteora is a decentralized finance (DeFi) protocol built on the Solana blockchain, designed to create an efficient, sustainable, and flexible liquidity layer for the Solana ecosystem. By addressing liquidity fragmentation and inefficiency, Meteora enables smoother trades, lower fees, and improved yield opportunities for liquidity providers (LPs). One of its standout features is the Dynamic Layered Market Maker (DLMM), which allows for granular control over price ranges through customizable liquidity positions.
Understanding how liquidity is distributed across price levels is crucial—especially when tracking developer (dev) activity. For instance, in token pairs like $TRUMP/SOL or $TRUMP/USDC, developers can strategically place single-sided liquidity in specific price bins to either offload tokens (sell) during rallies or accumulate them during dips—all while earning trading fees.
👉 Discover how to track real-time liquidity movements and gain an edge in DeFi trading.
This guide walks you through two reliable methods to view and calculate Meteora liquidity price ranges, helping you uncover strategic market insights and anticipate potential price actions.
Core Concepts You Need to Know
Before diving into the analysis, it’s essential to understand key components of Meteora’s DLMM architecture.
What Is a Trading Pair?
A trading pair consists of two tokens, such as $TRUMP and $SOL forming the TRUMP/SOL pair, or $TRUMP and $USDC forming TRUMP/USDC. Each pair can have multiple liquidity pools based on different fee tiers and bin steps.
Understanding Pools (LP Pools)
Each trading pair may host several pools, differentiated by Bin Step and Fee Tier. For example, the TRUMP/USDC pair might include over 50 distinct pools, each with a unique address. These settings are defined at creation and remain immutable.
What Is a Bin?
In Meteora’s DLMM model, each bin represents a discrete price level where buy or sell orders are placed. Think of bins as individual order book slices—each holding liquidity at a precise price point.
What Is Bin Step?
The bin step defines the percentage gap between adjacent bins, measured in basis points (1 bp = 0.01%). A smaller bin step means tighter spacing and finer liquidity control.
For example:
- Current SOL/USDC price: $20
- Bin step: 25 bps (0.25%)
- Next bin price: $20 × 1.0025 = $20.05
- Following bin: $20.05 × 1.0025 ≈ $20.10
This logarithmic progression ensures consistent relative spacing across all price levels.
What Is a Position?
A position refers to how a user allocates liquidity within a pool. It includes:
1. Price Range
Defined by a continuous set of bins—from lower_bin_id to upper_bin_id—where your liquidity is active.
2. Liquidity Amount
The quantity of each token deposited (e.g., SOL and USDC). The ratio depends on the current market price and your chosen range.
3. Distribution Strategy
Meteora offers three strategies:
- Spot (Uniform): Equal distribution across bins—ideal for stable markets.
- Curve (Bell-shaped): Concentrates liquidity near the current price.
- Bid-Ask (Bimodal): Allocates funds on both sides of the current price—suited for volatile assets.
4. Bin Step
Set at the pool level; cannot be modified when creating a position.
Method 1: Viewing Price Ranges via Wallet Monitoring
You can inspect existing liquidity positions directly on Meteora’s app by connecting or monitoring a wallet address.
Let’s use the $TRUMP token (6p6xgHyF7AeE6TZkSmFsko444wqoP15icUSqi2jfGiPN) as an example:
- Use a blockchain analytics tool to identify the dev wallet (e.g.,
5e2qRc1DNEXmyxP8qwPwJhRWjef7usLyi7v5xjqLr5G7). - Open Phantom Wallet → “Connect Wallet” → “Watch Wallet” → Enter the dev’s public address.
- Connect Phantom to Meteora and navigate to Portfolio.
- Click any DLMM pool to see active positions, including price ranges, bin IDs, fee tiers, and unclaimed fees.
✅ Pros: Simple, visual interface with real-time data
❌ Cons: Only shows currently active positions—historical or withdrawn liquidity won’t appear
👉 See live liquidity flows and detect early market moves before others.
This method is excellent for quick reconnaissance but limited when analyzing past behavior.
Method 2: Calculating Price Ranges from On-Chain Data
For deeper insight—including historical or removed positions—you can compute price ranges using on-chain data.
The Math Behind Price Calculation
Meteora uses the following formulas:
Min Price = (1 + bin_step / 10,000) ^ lower_bin_id
Max Price = (1 + bin_step / 10,000) ^ upper_bin_id
When dealing with tokens of different decimals:
Adjusted Min Price = [(1 + bin_step / 10,000) ^ lower_bin_id] / 10^(decimals_B - decimals_A)
Adjusted Max Price = [(1 + bin_step / 10,000) ^ upper_bin_id] / 10^(decimals_B - decimals_A)
Where:
- Token A is the base token (e.g., TRUMP)
- Token B is the quote token (e.g., USDC)
- Prices reflect how much of Token B one unit of Token A costs
Step-by-Step Example: Analyzing a $TRUMP Single-Sided Position
Let’s analyze a real transaction where a dev added single-sided $TRUMP liquidity.
- Go to Solscan, enter the dev’s address.
- Filter DeFi Activities → ADD LIQUIDITY.
- Find a transaction adding only $TRUMP (indicating a single-sided deposit).
Inspect the transaction details:
- Pool Address:
9d9mb8kooFfaD3SctgZtkxQypkshx6ezhbKio89ixyy2 - lower_bin_id: 1062
- Bin width: 46 → upper_bin_id = 1062 + 46 - 1 = 1107
- bin_step: Retrieved from pool data → 50 bps
- Token decimals: $TRUMP = 6, $USDC = 6 → adjustment factor = 10^(6−6) = 1
Now plug into the formula:
- Min Price = (1 + 50/10,000)^1062 = ~199.69 USDC per TRUMP
- Max Price = (1 + 50/10,000)^1107 = ~249.94 USDC per TRUMP
This confirms the position was set between approximately $199.69 and $249.94, aligning perfectly with on-screen data from Method 1.
This technique works regardless of whether the position still exists—making it ideal for forensic analysis of dev behavior.
Frequently Asked Questions (FAQ)
Q: Why would a developer use single-sided liquidity?
A: Devs use single-sided deposits to automate selling (at higher prices) or buying (at lower prices) while earning fees. It's a stealthy way to manage supply without dumping directly on the open market.
Q: Can I track removed or expired positions?
A: Yes—via on-chain analysis using tools like Solscan. Wallet monitoring only shows active positions.
Q: What does bin step affect in practice?
A: A smaller bin step allows tighter price control but requires more bins to cover the same range—increasing complexity and gas costs slightly.
Q: How do I know if a position is single-sided?
A: Check transaction logs: if only one token is deposited, it's single-sided. In Solscan, look under "Token Balance Changes."
Q: Is this method applicable to other DLMM platforms?
A: Similar logic applies to Orca’s whirlpools or Raydium CLMM, though exact math may vary due to different implementations.
Q: Can I automate this analysis?
A: Currently, no tool fully automates this—but developers are working on dashboards that could display dev actions, price ranges, and profit tracking in real time.
Final Thoughts
Tracking liquidity placement—especially single-sided positions—offers powerful signals about market sentiment and potential price targets. Whether you're monitoring active pools via wallet observation or reverse-engineering historical moves from chain data, understanding Meteora price ranges gives you a strategic advantage in Solana DeFi.
While current tools like DeBot or GMGN provide partial visibility, none yet offer full integration of dev activity with automated range calculations and profit tracking. As the ecosystem evolves, we can expect smarter analytics platforms to emerge.
Until then, mastering these manual techniques puts you ahead of the curve.
👉 Stay ahead with advanced analytics and explore next-gen DeFi opportunities today.
Core Keywords:
Meteora liquidity, DLMM price range, Solana DeFi, check liquidity position, single-sided liquidity, Meteora bin step, on-chain analysis, DeFi analytics