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XRPL Foundation announced a major update to its AMM curves, enhancing DeFi capabilities on the network.

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Discover how XRPL is boosting DeFi with its latest AMM curve updates, improving market efficiency and liquidity.

XRPL: Enhancing DeFi with AMM Curves Update

## AMM Curves Update on XRPL to Enhance DeFi Market

**XRPL Foundation** has proposed a significant update to automated market makers (AMM), adding **StableSwap** features and concentrated liquidity. These enhancements aim to improve the efficiency and liquidity of decentralized finance (DeFi) markets, stablecoins, and **RWA** (real-world assets) markets on the **XRP Ledger**.

### Project History
**XRP Ledger (XRPL)** is an open blockchain designed for fast and cheap international transactions, created in 2012. XRPL has long been known for its reliability and speed, but the functioning of its DeFi segment remained limited compared to other blockchains.

### Technical Features of the Update
The current changes include the integration of **StableSwap**, which allows for more efficient exchanges of different types of stablecoins, and the use of concentrated liquidity concepts brings more profit to liquidity providers by enhancing capital investments.

### Impact on the DeFi Market
The new update could significantly impact the DeFi market by increasing its liquidity and attractiveness to large investors. Introducing concentrated liquidity allows investors to better manage their investments, achieving higher returns.

### Competitive Context
Similar features are already widely used in other networks, such as **Uniswap**. The introduction of such tools on the XRPL could increase its competitiveness and make it more attractive to developers and investors.

### Conclusion
The implementation of new AMM technologies and the expansion of decentralized finance on the XRPL have significant potential.
* Strengths: Enhancing DeFi efficiency
* Risks: Dependence on user adoption
* Opportunities: Attracting new investors
* Threats: Competition with more established platforms

---
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AMM Curves Update on XRPL to Enhance DeFi Market

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BAS (Bid-Ask Spread) is a tool for analyzing the spread between the best buy and sell prices. The spread shows the difference between the price at which you can buy an asset and the price at which you can sell it.

What is BAS?

BAS visualizes the spread dynamics on the chart. You'll see how the spread changes over time — when it widens (low liquidity) and when it narrows (high liquidity). This helps determine the best moments for entering and exiting positions.

What does BAS show?

BAS analysis helps avoid entering positions during low liquidity moments when the spread is wide and entry/exit costs are high. Investors can use BAS to choose the optimal time for executing large orders with minimal slippage.

How does it help traders?

BAS Tool Tour

This is the BAS tool button. Click it to open the spread display settings.

Here you can enable or disable BAS data display on the chart.

The popover header has help buttons: onboarding (what this tool is), tour (step-by-step guide), and simulator (examples on historical data).

On the cluster chart, BAS is displayed as an additional data layer. You'll see the spread visualization on each candle.

This is a powerful tool for analyzing trade volume distribution. Unlike candlestick charts, the cluster chart shows exactly where traders are buying and selling.

Welcome to the Cluster Chart!

Each cluster shows the trade volume at a specific price. Red clusters = sells, green = buys. The larger the cluster, the greater the volume.

Clusters — the Foundation of Analysis

Shows the volume profile by price. Helps identify support and resistance levels.

Vertical Histogram

Shows volume distribution over time. Helps see trading activity during different periods.

Horizontal Histogram

Visualizes limit orders. Red zones = many sell orders, green = buy orders.

Limit Order Heatmap

With a subscription, you get access to advanced analysis tools, settings saving, data export, and much more.

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Platform Tour

Ticker selection button. Here you can select the trading pair for analysis on the cluster chart.

Timeframe selection. Determines the time interval of each bar on the chart: from minutes to days. Add frequently used timeframes to favorites for quick switching.

Chart data types. Choose which data to display in clusters: Volume, Delta, Number of Trades, and more. Use presets for quick switching between configurations.

Cluster detalization. Determines the level of data detail on the chart — from 50 to 400. The higher the value, the more price levels are displayed in each bar.

Left toolbar. Contains the crosshair, ruler, drawing tools, and analytical instruments for working with the chart.

Drawing tools. Create positions (Long/Short) directly on the chart, toggle visibility of drawn elements, or delete them all with one click.

Analytical instruments: Hippo Heatmap (large trades heat map), BAS (spread analysis), FTT (footprint tail tracking), and statistics histogram. Each tool has its own settings and onboarding.

The right panel is your control center: tickers, favorites, position analytics, and the trading simulator. Click on the panel to continue.

Tickers list in the right panel. Quickly switch between trading pairs, view key data, and add tickers to session lists.

Favorite tickers. Save frequently used trading pairs for instant access. Manage your favorites list from the right panel.

Position analytics. Track all your trading positions, analyze win rate, profit factor, and other metrics. Use the PnL histogram to evaluate and improve your strategy.

Trading simulator. Practice on historical data without risk — open positions, test strategies, and analyze results. Includes ready-made examples and homework assignments.

The cluster chart displays data in three sections: Cluster (main cluster), Horizontal (horizontal histogram), and Vertical (vertical histogram). Each section can show different data types: Volume, Delta (difference between buys and sells), Number of Trades, and others.

Chart Data Types

Use ready-made presets for quick switching between popular configurations: V (Volume) — trading volumes, D (Delta) — difference between buys and sells, Q (Quantity) — number of trades, C (Cumulative) — cumulative indicators. Click the star to add a preset to favorites.

Ready-made Presets

Create your own data type combinations! Configure data types for each chart section, then save the configuration to one of six custom preset slots. Your settings will be saved and available for quick application at any time.

Custom Presets

FTT (Footprint Tail Tracker) is a tool for analyzing "tails" on the cluster chart. Tails show areas where the price quickly bounced, indicating strong pressure from buyers or sellers.

What is FTT?

FTT automatically detects and highlights significant tails on clusters. You'll see markers showing: bounce strength (z-score), volume ratio (tail ratio), and pressure direction. The brighter the marker — the more significant the signal.

What does FTT show?

FTT helps find levels from which the price is likely to bounce again. Traders use these levels for setting stop-losses and determining entry points. Investors can use FTT to confirm the strength of support and resistance levels.

FTT Tool Tour

This is the FTT tool button. Click it to open the tail markers display settings.

Here you can enable or disable FTT markers display on the chart.

Layer controls allow you to choose which tail types to display: upper (sellers) or lower (buyers).

Filters allow you to adjust the tool's sensitivity. You can filter out weak signals and keep only significant ones.

AMM Curves Update on XRPL to Enhance DeFi Market

AMM Curves Update on XRPL to Enhance DeFi Market

Project History

Technical Features of the Update

Impact on the DeFi Market

Competitive Context

Conclusion

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