DanjelDurmo
Calories Count App for iOS – Powered by AI
Snap a photo of your meal Instantly get calories and insights Personalize your diet based on your data See what your friends are eating – right in the app!
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Detection of new pairs as they are listed. Data collection including token name, symbol, and holder percentages using Python libraries. Market data retrieval such as price, market cap, liquidity, and more from free APIs like Jupiter and Dexscreener. Tradeability check based on user-defined conditions (e.g., MCAP over $1B, top 1-40 holders owning < 0.50%, etc.). Automated trading execution: If the token meets the "tradable" criteria, the bot will automatically buy and then sell after a user-specified time interval, using optimized slippage. Telegram notifications are sent upon each BUY and SELL, providing all relevant transaction details Data logging: All trades (both tradable and non-tradable tokens) are recorded in a MySQL database for monitoring. Tech & Usage The script works with free APIs from Jupiter, DexScreener, and Helius. To start the bot, once strategies, investment amount (SOL), and Phantom wallet private key are configured, simply run a systemctl command from the terminal.
Source Code & Support The source code is sold "as-is" along with a guide. Customization and integration support are available as a paid service, depending on the effort required.
Note: The code is written in pure Python with no graphical interface, so we recommend it for users with basic technical knowledge—though modifying parameters and running it is very straightforward.
For inquiries: [email protected]
Solana Trading Bot for Raydium Liquidity Pool V4
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Why DataNext? Ease of Use: User-friendly interface, no coding required. Scalability: Handle small tasks or large-scale data gathering. Affordable Plans: Designed for startups and individuals without breaking the bank. We’d love for you to check it out and share your feedback!