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Optimism's experiment with transaction prioritization through OP staking. Learn more.

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Optimism Experiment with transaction priority via OP staking. Learn about the analysis and implications.

Optimism's Experimental Feature: Transaction Acceleration via OP Staking

## Optimism Experiment: Staking to Accelerate Transactions

**Optimism**, a popular layer-2 (L2) protocol, has announced a four-week experiment allowing users to increase the priority of their transactions. To participate, one must stake a minimum of 100,000 **OP** tokens. This is the first time transaction sequence will be determined not only based on gas fees but also through staking participation.

### Detailed Technology Breakdown
Optimism utilizes the rollup principle to aggregate transactions from the Ethereum chain, reducing gas fees and increasing data processing speed. In this new experiment, users can gain priority in transaction processing time, presenting new opportunities for operational optimization.

### Market Comparison
This innovation sets Optimism apart from other L2 solutions. Usually, protocols like **Arbitrum** and **Polygon** use more traditional methods for transaction sorting. The experiment with priority mechanisms through staking could significantly change the approach to transaction management in decentralized networks.

### Impact on the Ecosystem
If successful, the experiment could create a new trend in the industry, where transaction priority is linked not only to economic parameters (such as gas costs) but also to staked asset volume. This approach could also stimulate further growth of the OP ecosystem by attracting more users and increasing its economic activity.

### Conclusion
The experiment by **Optimism** has the potential to significantly impact the market:
* **Strengths**: Improved network performance, increased user engagement.
* **Risks**: Possible manipulation of transaction prioritization.
* **Opportunities**: Expanding the functionality of L2 solutions.
* **Threats**: Reaction from other L2 projects and the necessity for them to adapt new features.

---
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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.

Optimism Experiment: Staking to Accelerate Transactions

Optimism Experiment: Staking to Accelerate Transactions

Detailed Technology Breakdown

Market Comparison

Impact on the Ecosystem

Conclusion

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