Telegram Robot Battle Unibot, Banana Gun, MaestroBot Comparative Analysis

Comparing Telegram Bots Unibot, Banana Gun, and MaestroBot for the Ultimate Battle

TelegramRobots are changing cryptocurrency trading, and this article compares three top Telegram bots – Unibot, Banana Gun, and MaestroBot. The data shows that Banana Gun is taking market share from MaestroBot, and the monthly trading volumes for Unibot and Banana Gun local tokens are 200M and 30M, respectively. The success of Banana Gun can be attributed to its user-centric strategy, trading competitions that drive trading volumes, and the control of 60% of the token’s total supply.

Original title: The Battle of the Telegram Bots

Original author: Kunal

Original source: medium

Translation: Mars Finance, MK

In 2023, Telegram bots became popular on the instant messaging platform Telegram, thanks to their user-friendly interface. For cryptocurrency trading, the process is more complicated compared to stock trading, which has been a major barrier to cryptocurrency adoption.

Telegram bots aim to simplify this process, allowing users to directly trade and devise trading strategies on the Telegram application. This is made possible by Uniswap V3 – an order routing system for decentralized exchanges, eliminating the need for users to interact directly with Uniswap.

This simplified approach indicates that Telegram bots will play a crucial role in the next cryptocurrency bull market, attracting more new users. This article will analyze three top Telegram bots – Unibot, Banana Gun, and MaestroBot. It is worth mentioning that, in addition to MaestroBot, Unibot and Banana Gun have also launched their own native tokens. These bots were launched in July 2022 (MaestroBot), May 2023 (Unibot), and June 2023 (Banana Gun).

All calculated data link: [Google Spreadsheets](https://docs.google.com/spreadsheets/d/1LxWA6U4xl_JxMIa2BwkrvVpK1yYMqwDUPR44Bb77NwU/edit?usp=sharing)

1. Feature Comparison

Upon initial comparison, these bots have similar functionalities. Although MaestroBot is more experienced in this field, other bots have quickly caught up in terms of features. MaestroBot and Unibot seem to focus more on providing a centralized exchange experience, while Banana Gun focuses on improving the convenience of in-app trading on Telegram. Currently, Telegram bots are still in the early stages of development, and more innovations can be expected in the future.

Telegram

Comparing High-Level Features

2. Indicator Comparison

The overall monthly user chart shows that although MaestroBot dominates, its user count is decreasing, while Banana Gun’s user count is rapidly growing.

Telegram

Total Monthly Users

A similar trend is seen in the overall monthly transaction chart. However, the average number of transactions per user is roughly the same for each bot: Unibot at 4.26 transactions, Banana Gun at 5.27 transactions, and MaestroBot at 5.70 transactions.

Telegram

Total Monthly Transactions

Monthly transaction volume is a key statistic that reflects the health of the bots. Banana Gun continues to grab market share from MaestroBot and shows potential to dominate the market. With GMX’s derivative trading volume of 314M in the past 24 hours as a reference, this suggests that Telegram bots still have significant growth potential.

Telegram

Monthly Transaction Volume Composition

The cost data generated each month shows a downward trend overall for all bots over time, with similar revenue generation among the three. Despite Unibot’s significantly lower actual trading volume compared to the other two, its monthly trading volume with the local token is around 200M. Considering UNIBOT’s 4% tax rate per transaction, this largely drives Unibot’s revenue.

Although Banana Gun has high in-app trading volume, its local token BANANA only has a trading volume of about 30M. Banana Gun’s transaction fee ranges from 0.5-1%, which is lower than the local token trading tax. For MaestroBot, its revenue mainly comes from a 1% fee per transaction, making it the highest earning bot currently.

Telegram

Monthly Expenses

3. Tokenomics

Users holding BANANA and UNIBOT tokens have the right to share in the revenue. Banana Gun maintains the same profit-sharing ratio as Unibot: 40% of transaction fees and 50% of local token trading tax goes to token holders. To qualify for profit sharing, Unibot requires holding at least 10 tokens, while Banana Gun has no such restriction.

Telegram

Current Annualized Yield for Token Holders

Based on my conservative estimate, both bots are expected to generate a similar annualized compound yield of around 25%. Currently, all UNIBOT tokens are fully in circulation, and with the token repurchase policy, 5% deflation is expected in the future. Banana Gun only has 26.3% of its tokens in circulation and currently compensates users for a certain proportion (0.05-1) of robot fees with the local token. In the past four months, 2.82% of the total supply has been distributed as rewards, while only 1.45% has been burned, resulting in an issuance to burn ratio of about 2. I expect Banana Gun’s revenue to increase with the growth of transaction volume, which will offset any inflationary pressures over time. Based on my calculations, I anticipate a 0.3% deflation for Banana Gun next year.

4. Valuation

Due to the limited number of competitors in the field, I have decided to use the earnings per share (FDV/Fees) ratio as a valuation metric. Unibot’s valuation seems reasonable, while Banana Gun appears to be overvalued. If I were considering an investment, I would wait until the valuation reaches close to 5 times, at which point the price of BANANA could be close to $10.

Telegram

Comparison of FDV/Fees valuations

5. Risks

One key risk of Telegram bots is the “secure” storage of wallet keys within the bot system. All mentioned bots have implemented security measures to protect these keys and are actively seeking to introduce more security features. However, all three bots have experienced various forms of attacks in the past. Fortunately, these issues have been swiftly resolved, and affected users have been compensated.

6. Conclusion

Banana Gun has made an impressive performance. As a newcomer in the industry, it has rapidly grown its trading volume and user base. Its success can be attributed to its user-centric strategy and the trading competition that drives the trading volume. Typically, emerging projects stimulate growth by increasing the token supply, but Banana Gun has effectively controlled this, ensuring the sustainable development of its protocol.

Banana Gun still controls 60% of its total token supply to drive in-app demand. While this may create inflationary pressure, if managed properly, the increased revenue can be offset through buyback and burn mechanisms. The team values the deflationary nature of BANANA and has recently repurchased and burned $21K worth of BANANA using their treasury funds. As more tokens circulate, the trading volume of their native token will also increase, bringing more revenue to the bot.

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