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Bitget Wallet expanded the DEX aggregator to support orders for tokenized assets, including $1.6 billion in stocks.

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Bitget Wallet expands DEX API for tokenized assets. Learn more details.

Bitget Supports Tokenized Assets

## Expansion of DEX Aggregator by **Bitget Wallet**

**Bitget Wallet** recently announced the expansion of its DEX (Decentralized Exchange) Aggregator API, which provides the ability for market order trading of tokenized assets, or RWA (Real World Assets). This step highlights the growing popularity and significance of the tokenized assets sector, currently valued at $31 billion, including $1.6 billion in tokenized stocks.

### Context and History

The sector of tokenizing real-world assets is rapidly developing. This technology allows for the transfer of physical assets like real estate, stocks, and even art onto the blockchain. This creates an opportunity for wider access to trading and increases liquidity for asset classes that were previously less accessible to most investors.

### Features of the DEX Aggregator Technology

DEX aggregators, such as **Bitget Wallet**'s, gather liquidity from numerous decentralized exchanges, allowing users to get the best prices for their transactions. The new API expansion also simplifies the process of executing market orders, improving the speed and accuracy of trades.

### Comparison with the Market

**Bitget Wallet** is not the only player in the decentralized aggregator market; competitors like **1inch** and **Matcha** also offer aggregated trading solutions. However, the support for tokenized real assets and the focus on this niche distinguish **Bitget** among its competitors.

### Conclusion

The expansion of **Bitget Wallet**'s functionality towards RWA support is an important step in the development of the entire blockchain ecosystem, providing greater access to traditional assets on decentralized platforms.
* Strengths: Increased liquidity, accessibility.
* Risks: Market fluctuations, legal uncertainty.
* Opportunities: Attracting new investors, market diversification.
* Threats: Competition with similar solutions and platforms.

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First steps with Clusters

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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.

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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.

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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.

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The tool sums up limit orders in a range next to the price — for example, from the best bid and a few percent below it. Instead of a raw order book, you instantly see how much real limit volume sits on the buy side (support below the price) and on the sell side (resistance above it).

What are "Limit Volumes" (BAS)?

BAS highlights which side has the upper hand: where more limit buys are stacking up and where sells dominate. It also shows when the market is "thinning out" and orders are drying up. This makes it clearer where strength is building in the book and where liquidity is fading.

What do limits show?

When the price has already fallen hard but sellers can't push it any lower, BAS hints at why: either buyers have built up enough limit volume to hold and turn the market around, or the volume is too thin and sellers lacked the pressure to create a deficit. That helps you decide what to do with your position — add, take profit, or wait.

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Watch where large volume came through, who was more active — buyers or sellers — and whether that activity managed to push the price.

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These tools help you see large limit orders in the order book and track how buyers' and sellers' interest changes at different prices.

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FTT (Full Tail Turn) is a scanner for volume accumulations at the extremes of cluster bars. It finds volume accumulations at the peak of an up or down move — spots where participants were actively buying and selling, putting pressure on the price.

What is FTT?

FTT scans the chart on its own and highlights such accumulations with markers on the upper and lower edges of the clusters. The more prominent the marker, the larger the accumulation and the stronger the potential zone.

What does FTT show?

Accumulations at extremes often appear where strong demand meets equal supply. FTT helps you see these points: to move your stop, look for an entry on a reversal, or confirm the strength of supply and demand.

Hippo Heatmap is a heat map showing the density of large trades (so-called "hippos"). The tool visualizes at which price levels the highest concentration of large volumes occurs.

What is Hippo Heatmap?

The heat map displays zones of large trade accumulation in different colors: from cold (blue — low volume) to hot (red — high volume). You'll see where large players are actively buying or selling.

What does Hippo Heatmap show?

Hippo Heatmap helps identify levels where large market participants are accumulating or distributing positions. These levels often serve as strong support or resistance. Investors can use the heat map to understand "smart money" intentions.

Position Analytics is a panel for tracking and analyzing your trading positions. It displays all your directional positions (Long/Short) for the active ticker in one place.

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The panel shows a list of positions with entry price, current PnL, and open date. You can filter positions by date range, view detailed statistics (win rate, profit factor, streaks, and more), export data to CSV, and analyze PnL distribution on a histogram.

Expansion of DEX Aggregator by Bitget Wallet

Expansion of DEX Aggregator by Bitget Wallet

Context and History

Features of the DEX Aggregator Technology

Comparison with the Market

Conclusion

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