Changelog

- Token trading for Pump online (copy trading, limit order, fast buy & sell)

- Copy trading supports following the smart money's sell ratio

- Bribery (Jito) online ( auto sniper, copy trading, limit order, fast buy & sell)

- Significant Hardware Upgrades and Speedups for Solana Private Nodes

- Multi-chain token multisender online (Solana / Base / Ethereum / Arbitrum / Bsc)

- Multi-chain token collection online (Solana / Base / Ethereum / Arbitrum / Bsc)

- Telegram is available to register and log in DBot. And Referral Program is available on Telegram as well

- Telegram Bots support multiple language switching

- Token Multisender online. Send tokens to multiple addresses with a single click

- Token Collection online. Collect tokens from multiple addresses to one with a single click

- DBot trading fees and rebates are online, invite friends to trade to get a high rate of rebates

- Automation API is online, you can customize the creation of auto sniper/copy trading/limit order/fast buy/sell tasks through the interface

- Mobile adaption, wallet list optimization

- ORE machine support

- DBot Arbitrum Bot launched (auto sniper, copy trading, limit order, fast buy / sell, etc.)

- Retry and multi-node concurrency settings support

- Adapt more mobile H5 pages (auto sniper settings, copy trading settings, limit order settings, etc.)

- Auto sniper on Base launched

- Copy trading of custom address on Base launched

- Custom limit order on Base launched

- Fast buy / sell and one-click asset transfer on Base launched

- Auto Sniper, Copy Trading, Limit Order on BSC launched

- One-click transfer of wallet assets including SOL / BNB / ETH

- Dashboard supports tokens trading directly and quickly

- Some of the dashboard's functions are adapted to mobile H5

- Solana adds Anti-MEV protection

- Solana monitoring mode is optimized to improve bot response speed

- Solana contract parsing upgraded to support more events and interaction prompts

- Auto sniper (Solana)

- Copy trading (Solana)

- Limit order (Solana)

- Asset management (Solana)

- Profit & Loss Analysis (Solana)

- Support to snipe buy with custom tokens and automated take profit and stop loss

- Support all DEX Bot features at zero cost in the trading simulator

- Copy trading supports to copy custom addresses

- Copy trading and limit order support to view trading history

- Webhook, Discord Bot, Telegram Bot support custom filter conditions for events

- Support to buy and sell tokens in Telegram

- Copy trading

- Limit order

- Asset management

- Profit & Loss Analysis

View the gains & losses of Aimbot in different time periods, as well as the detailed data, and receive real-time trading alerts of Aimbot in your endpoint URL, Discord and Telegram

DBot Webhook online

- Support for over 30 on-chain events with configurable endpoint URLs to receive alerts

DBot Discord and Telegram Bots online

- Custom Bot

- View real-time on-chain monitoring messages in Discord and Telegram

- Use commands to query information of Token/NFT etc.

DBot Twitter monitoring online

- View timed on-chain statistics and real-time whale transaction alerts in twitter

- View details of statistics and whale transactions on DBot's official website

Welcome to DBot and be a Blockchain Scientist!

The first batch of Web3 on-chain APIs include four major categories, with a total of 28 data interface services provided: Wallet APIs, Token APIs, NFT APIs, and Whale APIs

Added chain data support for L2 network, Arbitrary and Optimization

Add blockchain event monitoring and subscription at any scale

Added address book to customize the addresses and contracts that need to be monitored

Added endpoint book to customize endpoint url that accept push

After half a year of improvement and modification, DBot ushered in its first official version. In the initial version, it supported Ethereum, Polygon, BNB Chain and Tron respectively.

Based on DBot's powerful real-time data processing, we have further developed a data query Bot on Discord and Telegram. The monitoring and analysis of on-chain data can sometimes be monotonous. We hope it can help you and accompany you.

Of course, the craze of AI technology is sweeping now, and we plan to also give "intelligence" to these hard-working robots working on the chain 24/7. With the training of a large amount of on-chain data, maybe they will become real experts in blockchain technology?

Real-time monitoring and response to all on-chain events and messages is the goal that DBot pursued from the very beginning (after all, it is called a super blockchain terminator robot). Therefore, we have developed a rigorous and detailed event list for almost all current chains, including hundreds of on-chain events such as transfers, minting, DeFi flows, whale changes, account changes, smart contract execution, blockchain memory pool changes, etc.

Although the on-chain data of different chains have similar standards and implementations, they still have many differences in details. Therefore, it is particularly critical to formulate a RESTful standardized API data structure that is as close as possible to the original chain protocol. Why RESTful? Because this is currently the most widespread, simple and efficient data interface standard in the world, you can easily get the HTTP response result by just entering the address in the browser.

For developers, most of the data on the chain will be responded to through the dedicated SDK request RPC interface. However, complex chain node deployment and smart contract analysis have relatively high technical thresholds. We hope that most users who love and expect to be able to monitor and observe data on the chain in real time can easily obtain this capability.

Of course, we will continue to launch a variety of data interfaces including jsonrpc, grpc, graphql, etc. in the future to further facilitate users with different docking needs.

During the actual processing of on-chain data, we observed that the powerful parallel computing performance of GPU for the processing of blockchain data is surprising, because compared with traditional complex and diverse industry data, blockchain data has a high consensus of consistency, standardization and structure. This provides the most important foundation for us to build a large amount of parallel data pipeline, through the pure GPU programming model, we create tens of thousands of data processing streams on GData, and under the support of distributed GPU hardware clusters, we can achieve nearly terabytes of real-time data throughput.

Then the name DBot was proposed (We're also big fans of sci-fi robots), and we decided to make DBot what it is: a super Terminator robot dedicated to blockchain data.

After a lot of data testing and verification, even under the acceleration of ordinary consumer-grade graphics cards, GPU data engines can achieve extremely high performance gains compared to traditional databases. After further refining the engine, we began to apply GData to blockchain data processing (We are both enthusiasts of the crypto world).

Although the trend of applying GPU to POW chain nodes is still hot at this time, the design goal and direction of GData are not so, we firmly believe that POS or other low-energy blockchain technology solutions are the ultimate future (in fact, most chains have been upgraded to POS).

This is the earliest origin of DBot. After two years of research and development in the GPU lab of the university, we have preliminarily completed a high-performance data processing and analysis engine based on a general GPU programming model.

GData was created with the goal of maximizing the ultra-high concurrent pipeline performance of modern GPU hardware to enable parallel processing of very large amounts of data, and thus solve the congestion and bottlenecks encountered by traditional CPU computing models.