Solana Bot Developer for Trading Analysis
Budget: $250 – $750 USD
I'm looking for an experienced programmer to develop an advanced signal bot, focused on blockchain data analysis and integration with Telegram (since the bot will be made on Telegram). The ideal candidate should have a deep knowledge of blockchain technologies, experience with third-party APIs, Artificial Intelligence tools, and also the ability to use social media APIs like Twitter. Responsibilities include developing a bot that collects and analyzes real-time blockchain data, implementing advanced AI algorithms for data interpretation, and sending actionable signals via Telegram. These signals should sometimes have a social aspect, utilizing insights from social media platforms. In addition, the candidate must be able to create and optimize their own server, ensuring efficiency in data storage and reduced operational costs. We are looking for someone with exceptional problem-solving skills and the ability to work autonomously and innovatively.
Relevant skills include:
-Telegram API
-Bot creation
-External API integration
One channel will be built where the bot will send signals, for the solana network .
Focused Strategy for a Solana Network Signal Bot on New Tokens
Objective:
Develop a signal bot that identifies trading opportunities for new tokens on the Solana network, focusing on wallet behaviors, particularly those with positive PnL, and specific on-chain metrics related to new tokens.
Key Metrics and Analysis Strategies:
High PnL Wallet Monitoring:
Track wallets with a history of high profitability.
Focus on their activities, especially regarding new tokens.
Utilize significant changes in their positions as signals for potential trading opportunities.
New Token Transaction Analysis:
Monitor newly launched tokens on the Solana network.
Analyze buying and selling patterns, focusing on large transactions and active trading.
Generate signals based on increased buying activity, especially from high PnL wallets.
Liquidity and Token Volume Analysis for New Tokens:
Evaluate trading volume and liquidity of new tokens.
Identify spikes or unusual activity in trading volume as indicators of interest.
Generate signals from sustained increases in volume, liquidity, and large-value transactions.
Wallet Balance Changes in New Tokens:
Monitor shifts in the balances of high PnL wallets, focusing on their involvement with new tokens.
Consider accumulations or distributions of new tokens as potential signals.
'Whale' Wallet Tracking for New Tokens:
Identify large investor wallets and their interactions with new tokens.
Focus on significant position changes in these wallets as potential indicators of confidence in new tokens.
Staking Pool and Liquidity Movement Analysis for New Tokens:
Track participation in staking pools and liquidity provisions specifically for new tokens.
An increase in staking or liquidity provision can indicate a positive sentiment towards the new token.
Smart Contract Interaction Analysis for New Tokens:
Observe wallet interactions with smart contracts associated with new tokens.
Increased interactions can serve as a signal of growing interest in these tokens.
New Token Holder Analysis:
Monitor the number of holders for new tokens.
A rapidly increasing holder count can indicate growing interest and confidence in the token.
Implementation:
Data Collection: Utilize APIs and on-chain analysis tools for real-time data on new tokens and wallet activities.
Analysis and Processing: Implement algorithms to process and analyze the data, focusing on the behavior around new tokens.
Signal Generation: Configure the bot to generate trading signals based on the established criteria, emphasizing new token dynamics and wallet performance.
Continuous Testing and Refinement: Regularly test and adjust the bot to improve accuracy and adapt to evolving market conditions.
User Interface and Alert System: Develop an intuitive interface with a real-time notification system for the generated signals.
Final Considerations:
The bot should be adaptable to the rapidly changing dynamics of new tokens on the Solana network.
Keep the strategy updated with the latest developments in the Solana ecosystem to maintain its relevance and effectiveness.
In addition, I need a call tracker, which will post every day, how many projects a signal was launched, how much marketcap and how much profit it would have had if it had sold at ath.
Example :
Call tracker?
▫️Name: Gemini AI (link to the message that made the call)
⚡️Tracked Mcap: $30k
⚡️ATH: $422k
?Max Profit: 1264.39%
Relevant skills include:
-Telegram API
-Bot creation
-External API integration
One channel will be built where the bot will send signals, for the solana network .
Focused Strategy for a Solana Network Signal Bot on New Tokens
Objective:
Develop a signal bot that identifies trading opportunities for new tokens on the Solana network, focusing on wallet behaviors, particularly those with positive PnL, and specific on-chain metrics related to new tokens.
Key Metrics and Analysis Strategies:
High PnL Wallet Monitoring:
Track wallets with a history of high profitability.
Focus on their activities, especially regarding new tokens.
Utilize significant changes in their positions as signals for potential trading opportunities.
New Token Transaction Analysis:
Monitor newly launched tokens on the Solana network.
Analyze buying and selling patterns, focusing on large transactions and active trading.
Generate signals based on increased buying activity, especially from high PnL wallets.
Liquidity and Token Volume Analysis for New Tokens:
Evaluate trading volume and liquidity of new tokens.
Identify spikes or unusual activity in trading volume as indicators of interest.
Generate signals from sustained increases in volume, liquidity, and large-value transactions.
Wallet Balance Changes in New Tokens:
Monitor shifts in the balances of high PnL wallets, focusing on their involvement with new tokens.
Consider accumulations or distributions of new tokens as potential signals.
'Whale' Wallet Tracking for New Tokens:
Identify large investor wallets and their interactions with new tokens.
Focus on significant position changes in these wallets as potential indicators of confidence in new tokens.
Staking Pool and Liquidity Movement Analysis for New Tokens:
Track participation in staking pools and liquidity provisions specifically for new tokens.
An increase in staking or liquidity provision can indicate a positive sentiment towards the new token.
Smart Contract Interaction Analysis for New Tokens:
Observe wallet interactions with smart contracts associated with new tokens.
Increased interactions can serve as a signal of growing interest in these tokens.
New Token Holder Analysis:
Monitor the number of holders for new tokens.
A rapidly increasing holder count can indicate growing interest and confidence in the token.
Implementation:
Data Collection: Utilize APIs and on-chain analysis tools for real-time data on new tokens and wallet activities.
Analysis and Processing: Implement algorithms to process and analyze the data, focusing on the behavior around new tokens.
Signal Generation: Configure the bot to generate trading signals based on the established criteria, emphasizing new token dynamics and wallet performance.
Continuous Testing and Refinement: Regularly test and adjust the bot to improve accuracy and adapt to evolving market conditions.
User Interface and Alert System: Develop an intuitive interface with a real-time notification system for the generated signals.
Final Considerations:
The bot should be adaptable to the rapidly changing dynamics of new tokens on the Solana network.
Keep the strategy updated with the latest developments in the Solana ecosystem to maintain its relevance and effectiveness.
In addition, I need a call tracker, which will post every day, how many projects a signal was launched, how much marketcap and how much profit it would have had if it had sold at ath.
Example :
Call tracker?
▫️Name: Gemini AI (link to the message that made the call)
⚡️Tracked Mcap: $30k
⚡️ATH: $422k
?Max Profit: 1264.39%