Roadmap

The roadmap prioritizes initiatives based on a balance of ease of implementation and potential impact, arranging them from the simplest and most beneficial to build, to more complex yet strategically

Phase 1

1. Optimize CPU and Memory Usage

   • This involves refining the bot's code and algorithms to reduce its computational and storage footprint. By doing so, the bot becomes more efficient, can run faster, and costs less in terms of hardware or cloud resources.

2. Scaling up to More Exchanges

   • Expanding the number of exchanges the bot operates on increases the potential for finding profitable arbitrage opportunities. More exchanges mean a broader landscape to exploit price discrepancies across different markets.

3. Machine Learning Decisional Approach

   • Implement machine learning algorithms to analyze market data and predict profitable arbitrage opportunities. This approach could significantly enhance the bot's efficiency by automating the identification of the most lucrative trades based on historical and real-time data.

Phase 2

1. Include Tracking Futures and Spot Pair on CEXes

   • This involves adding functionality to monitor and trade on both futures and spot markets within centralized exchanges (CEXes). It opens up strategies like hedging, where a spot asset can serve as a hedge against a futures position, enhancing the bot's versatility and risk management capabilities.

2. Including DEX Arbitrage Trading

   • Integrating decentralized exchanges (DEXes) into the bot's strategy broadens the scope of arbitrage opportunities, especially given the often wider price discrepancies found in these less regulated markets.

3. Focus on New Pair Listings (High Volatility Moments)

   • Targeting new pair listings on exchanges takes advantage of the high volatility often seen shortly after a pair is listed. These moments can present significant arbitrage opportunities as prices have yet to stabilize.

4. Explore Spot vs. Perpetual Arbitrage

   • Delve into the arbitrage opportunities between spot markets and perpetual futures contracts. This strategy can exploit the price difference between a spot asset and its perpetual future counterpart, often driven by leverage, funding rates, and market sentiment.

Phase 3

1. AXB Token Manifesto WP

   • Develop a white paper for the AXB token, outlining its purpose, technology, economic model, and use cases. This document serves as a foundational piece to communicate the token's value proposition to potential investors and users.

2. AXB Token Pre-sale and IDO

   • Conduct a pre-sale and Initial DEX Offering (IDO) for the AXB token. This fundraising strategy can generate capital for further development and increase the token's liquidity and market presence.

3. Tokenization of the Data to Create an API to Stream Deep Order Book and FR (Funding Rate) Data on Chain

   • Develop an API that leverages blockchain technology to offer real-time access to deep order book and funding rate data. This innovation can provide unparalleled transparency and efficiency for arbitrage strategies.

   The API Can Be Used Paying in Our AXB Token as Utility Token

   • Make the AXB token the primary means of accessing the aforementioned API, adding utility to the token and encouraging its adoption and circulation within the ecosystem.

4. Bot White-label Having the Token in Staking to Have Access to the Service

   • Offer a white-label version of the arbitrage bot, allowing other entities to use and brand the service as their own. Access to the white-label service would require staking AXB tokens, creating an additional use case for the token and a staking mechanism to potentially reduce its circulating supply, adding value for token holders.

Phase 4

1. Compliance-Ready Solutions for Market Makers and Traditional Finance Institutions Entering Crypto Markets

   • Develop a tailored version of the arbitrage bot specifically designed for market makers and traditional finance (TradFi) institutions looking to enter the cryptocurrency market safely and in compliance with regulatory standards. This initiative would involve ensuring the product meets the stringent regulatory and compliance requirements of these institutions, including KYC (Know Your Customer), AML (Anti-Money Laundering), and other financial regulations. The aim is to provide a secure, compliant, and efficient tool for these entities to capitalize on arbitrage opportunities in the crypto space, leveraging the bot's technology to manage risks and enhance profitability while navigating the regulatory landscape of the digital asset market.