readme

Readme.md

@@ -0,0 +1,265 @@
+---
+license: agpl-3.0
+language:
+- en
+tags:
+- finance
+- code
+- solana
+- solfunmem
+- zero-ontology-system
+- zos
+- lean
+- json
+pretty_name: solfunmeme
+size_categories:
+- n>1T
+size_categories_planned:
+- n>1M
+size_categories_notes: We will have many more transactions
+---
+
+# SOLFUNMEME Transaction Cache Dataset
+
+Welcome to the SOLFUNMEME Transaction Cache Dataset hosted on Hugging Face! This repository contains a curated collection of JSON caches derived from Solana blockchain RPC queries for the SOLFUNMEME (SFM) token (BwUTq7fS6sfUmHDwAiCQZ3asSiPEapW5zDrsbwtapump). The dataset encapsulates transaction metadata, token balance changes, and program interactions, providing a robust resource for exploring the trading dynamics, decentralized finance (DeFi) patterns, and community-driven meme propagation of SFM within the Solana ecosystem.
+
+## Dataset Description
+
+The SOLFUNMEME Transaction Cache Dataset is a structured archive of Solana transaction data designed to support research, development, and community engagement with the SFM token, a key element of the Zero Ontology System (ZOS). ZOS is a pioneering framework that blends meme coin mechanics with decentralized governance, self-hosted agents, and zero-knowledge machine learning (ZKML) on Solana’s high-throughput blockchain. 
+
+The dataset abstracts raw transaction data into JSON files, enabling users to:
+- Analyze trading activities, such as buy and sell transactions, on platforms like Raydium.
+- Investigate SFM’s tokenomics, liquidity trends, and market behavior.
+- Apply formal verification techniques (e.g., Lean-based proofs) to ensure transaction integrity.
+- Explore the social and economic dynamics of meme propagation within the SOLFUNMEME community.
+- Inform the development of ZOS-based applications, such as decentralized meme engines or trading bots.
+
+## Key Features
+
+- **Rich Transaction Metadata**: Captures block times, slots, account balances, token transfers, and program logs for comprehensive analysis.
+- **SFM-Centric**: Focuses on the SFM token (BwUTq7fS6sfUmHDwAiCQZ3asSiPEapW5zDrsbwtapump), covering trades, account creations, and token movements.
+- **Optimized for Reusability**: Caches Solana RPC responses to reduce query overhead and ensure reproducibility.
+- **Verification-Ready**: Structured to integrate with formal methods tools (e.g., Lean) for proving properties like token conservation and balance consistency.
+- **Community-Aligned**: Supports the SOLFUNMEME project’s mission to foster decentralized, user-driven meme ecosystems.
+
+## Data Sources
+
+The dataset is generated by querying Solana’s mainnet RPC endpoint (https://api.mainnet-beta.solana.com) using two core methods:
+1. **getSignaturesForAddress**: Retrieves transaction signatures for the SFM token address, indexing a wide range of activities, including trades, transfers, and account operations.
+2. **getTransaction**: Provides detailed transaction metadata, including:
+   - **Timing and Block Data**: Unix timestamps and Solana block heights (slots).
+   - **Account Balances**: SOL balances (in lamports) before and after transactions.
+   - **Token Balances**: Pre- and post-transaction balances for SFM and other tokens (e.g., Wrapped SOL).
+   - **Program Interactions**: Execution logs from programs like Raydium AMM, SPL Token Program, System Program, and Compute Budget Program.
+   - **Instructions**: Details of transaction instructions and nested inner instructions (e.g., token transfers within swaps).
+
+## Dataset Contents
+
+The dataset is organized as follows:
+
+### rpc_cache/
+- **method_getSignaturesForAddress_address_BwUTq7fS6sfUmHDwAiCQZ3asSiPEapW5zDrsbwtapump_[hash].json**: Lists transaction signatures associated with the SFM token, serving as an index for further exploration.
+- **method_getTransaction_signature_[signature].json**: Contains detailed transaction data, including metadata, balance changes, and program logs.
+- **temp_*.json and temp_*.txt**: Temporary files storing request payloads, responses, and error logs for debugging and transparency.
+- **README.md**: This file, providing an overview, usage instructions, and context.
+- **LICENSE**: Specifies the terms of use for the dataset (e.g., MIT License).
+
+## Data Structure
+
+Each JSON file adheres to the Solana JSON-RPC 2.0 format, with key fields optimized for analysis:
+- **result.blockTime**: Unix timestamp of the transaction.
+- **result.slot**: Solana block height.
+- **result.meta.preBalances** and **result.meta.postBalances**: SOL balances (in lamports) for accounts before and after the transaction.
+- **result.meta.preTokenBalances** and **result.meta.postTokenBalances**: Token balances for SFM and other tokens, with fields:
+  - **accountIndex**: Index in the transaction’s account list.
+  - **mint**: Token mint address (e.g., BwUTq7fS6sfUmHDwAiCQZ3asSiPEapW5zDrsbwtapump for SFM).
+  - **uiTokenAmount.amount**: Token amount in smallest units.
+  - **uiTokenAmount.uiAmountString**: Human-readable amount.
+- **result.meta.logMessages**: Program execution logs, identifying interactions with Raydium, Token Program, etc.
+- **result.transaction.message.instructions**: Instructions executed, including program IDs and account indices.
+- **result.transaction.message.addressTableLookups**: Address table lookups for additional account resolution.
+
+## Potential Use Cases
+
+This dataset enables a range of applications:
+- **Trading Pattern Analysis**: Identify buy and sell transactions by examining token balance changes, supporting studies of market dynamics and investor behavior.
+- **Tokenomics Research**: Analyze SFM’s supply, liquidity, and trading volume to understand its role in the Solana meme coin ecosystem.
+- **Formal Verification**: Use with Lean or other formal methods tools to prove transaction properties, such as non-negative balances or token conservation.
+- **Community Mapping**: Study wallet interactions to uncover patterns of engagement within the SOLFUNMEME community, aligning with ZOS’s meme propagation goals.
+- **DeFi Innovation**: Inform the development of ZOS-based tools, such as decentralized agents, trading algorithms, or governance mechanisms.
+- **Educational Exploration**: Learn about Solana’s transaction model, DeFi protocols, and the intersection of blockchain and meme culture.
+
+### Example Use Case: Identifying Trading Activity
+
+A common use case is analyzing SFM trading activity on Raydium. For instance, a transaction might show an account gaining SFM tokens (indicating a buy) in exchange for Wrapped SOL, with the Raydium AMM program facilitating the swap. By comparing `preTokenBalances` and `postTokenBalances`, users can quantify token movements and correlate them with market trends or community activity.
+
+## How to Use the Dataset
+
+### Prerequisites
+- Proficiency in JSON processing (e.g., Python, JavaScript, or Rust).
+- Basic understanding of Solana’s transaction structure and DeFi concepts.
+- Optional: Lean environment for formal verification or dataset extension.
+
+### Getting Started
+1. **Clone or Download the Repository**:
+   ```bash
+   git clone https://huggingface.co/[your-username]/solfunmeme-transaction-cache
+   cd solfunmeme-transaction-cache
+
+   Here is the reformatted Markdown with proper heading levels:
+
+```markdown
+# SOLFUNMEME Transaction Cache Dataset
+
+Welcome to the SOLFUNMEME Transaction Cache Dataset hosted on Hugging Face! This repository contains a curated collection of JSON caches derived from Solana blockchain RPC queries for the SOLFUNMEME (SFM) token (BwUTq7fS6sfUmHDwAiCQZ3asSiPEapW5zDrsbwtapump). The dataset encapsulates transaction metadata, token balance changes, and program interactions, providing a robust resource for exploring the trading dynamics, decentralized finance (DeFi) patterns, and community-driven meme propagation of SFM within the Solana ecosystem.
+
+## Dataset Description
+
+The SOLFUNMEME Transaction Cache Dataset is a structured archive of Solana transaction data designed to support research, development, and community engagement with the SFM token, a key element of the Zero Ontology System (ZOS). ZOS is a pioneering framework that blends meme coin mechanics with decentralized governance, self-hosted agents, and zero-knowledge machine learning (ZKML) on Solana’s high-throughput blockchain. 
+
+The dataset abstracts raw transaction data into JSON files, enabling users to:
+- Analyze trading activities, such as buy and sell transactions, on platforms like Raydium.
+- Investigate SFM’s tokenomics, liquidity trends, and market behavior.
+- Apply formal verification techniques (e.g., Lean-based proofs) to ensure transaction integrity.
+- Explore the social and economic dynamics of meme propagation within the SOLFUNMEME community.
+- Inform the development of ZOS-based applications, such as decentralized meme engines or trading bots.
+
+## Key Features
+
+- **Rich Transaction Metadata**: Captures block times, slots, account balances, token transfers, and program logs for comprehensive analysis.
+- **SFM-Centric**: Focuses on the SFM token (BwUTq7fS6sfUmHDwAiCQZ3asSiPEapW5zDrsbwtapump), covering trades, account creations, and token movements.
+- **Optimized for Reusability**: Caches Solana RPC responses to reduce query overhead and ensure reproducibility.
+- **Verification-Ready**: Structured to integrate with formal methods tools (e.g., Lean) for proving properties like token conservation and balance consistency.
+- **Community-Aligned**: Supports the SOLFUNMEME project’s mission to foster decentralized, user-driven meme ecosystems.
+
+## Data Sources
+
+The dataset is generated by querying Solana’s mainnet RPC endpoint (https://api.mainnet-beta.solana.com) using two core methods:
+1. **getSignaturesForAddress**: Retrieves transaction signatures for the SFM token address, indexing a wide range of activities, including trades, transfers, and account operations.
+2. **getTransaction**: Provides detailed transaction metadata, including:
+   - **Timing and Block Data**: Unix timestamps and Solana block heights (slots).
+   - **Account Balances**: SOL balances (in lamports) before and after transactions.
+   - **Token Balances**: Pre- and post-transaction balances for SFM and other tokens (e.g., Wrapped SOL).
+   - **Program Interactions**: Execution logs from programs like Raydium AMM, SPL Token Program, System Program, and Compute Budget Program.
+   - **Instructions**: Details of transaction instructions and nested inner instructions (e.g., token transfers within swaps).
+
+## Dataset Contents
+
+The dataset is organized as follows:
+```
+.
+├── rpc_cache/
+│   ├── method_getSignaturesForAddress_address_BwUTq7fS6sfUmHDwAiCQZ3asSiPEapW5zDrsbwtapump_[hash].json
+│   ├── method_getTransaction_signature_[signature].json
+│   ├── temp_[cacheKey]_request.json
+│   ├── temp_[cacheKey]_response.json
+│   └── temp_[cacheKey]_error.txt
+├── README.md
+└── LICENSE
+```
+
+### rpc_cache/
+- **method_getSignaturesForAddress_address_BwUTq7fS6sfUmHDwAiCQZ3asSiPEapW5zDrsbwtapump_[hash].json**: Lists transaction signatures associated with the SFM token, serving as an index for further exploration.
+- **method_getTransaction_signature_[signature].json**: Contains detailed transaction data, including metadata, balance changes, and program logs.
+- **temp_*.json and temp_*.txt**: Temporary files storing request payloads, responses, and error logs for debugging and transparency.
+- **README.md**: This file, providing an overview, usage instructions, and context.
+- **LICENSE**: Specifies the terms of use for the dataset (e.g., MIT License).
+
+## Data Structure
+
+Each JSON file adheres to the Solana JSON-RPC 2.0 format, with key fields optimized for analysis:
+- **result.blockTime**: Unix timestamp of the transaction.
+- **result.slot**: Solana block height.
+- **result.meta.preBalances** and **result.meta.postBalances**: SOL balances (in lamports) for accounts before and after the transaction.
+- **result.meta.preTokenBalances** and **result.meta.postTokenBalances**: Token balances for SFM and other tokens, with fields:
+  - **accountIndex**: Index in the transaction’s account list.
+  - **mint**: Token mint address (e.g., BwUTq7fS6sfUmHDwAiCQZ3asSiPEapW5zDrsbwtapump for SFM).
+  - **uiTokenAmount.amount**: Token amount in smallest units.
+  - **uiTokenAmount.uiAmountString**: Human-readable amount.
+- **result.meta.logMessages**: Program execution logs, identifying interactions with Raydium, Token Program, etc.
+- **result.transaction.message.instructions**: Instructions executed, including program IDs and account indices.
+- **result.transaction.message.addressTableLookups**: Address table lookups for additional account resolution.
+
+## Potential Use Cases
+
+This dataset enables a range of applications:
+- **Trading Pattern Analysis**: Identify buy and sell transactions by examining token balance changes, supporting studies of market dynamics and investor behavior.
+- **Tokenomics Research**: Analyze SFM’s supply, liquidity, and trading volume to understand its role in the Solana meme coin ecosystem.
+- **Formal Verification**: Use with Lean or other formal methods tools to prove transaction properties, such as non-negative balances or token conservation.
+- **Community Mapping**: Study wallet interactions to uncover patterns of engagement within the SOLFUNMEME community, aligning with ZOS’s meme propagation goals.
+- **DeFi Innovation**: Inform the development of ZOS-based tools, such as decentralized agents, trading algorithms, or governance mechanisms.
+- **Educational Exploration**: Learn about Solana’s transaction model, DeFi protocols, and the intersection of blockchain and meme culture.
+
+### Example Use Case: Identifying Trading Activity
+
+A common use case is analyzing SFM trading activity on Raydium. For instance, a transaction might show an account gaining SFM tokens (indicating a buy) in exchange for Wrapped SOL, with the Raydium AMM program facilitating the swap. By comparing `preTokenBalances` and `postTokenBalances`, users can quantify token movements and correlate them with market trends or community activity.
+
+## How to Use the Dataset
+
+### Prerequisites
+- Proficiency in JSON processing (e.g., Python, JavaScript, or Rust).
+- Basic understanding of Solana’s transaction structure and DeFi concepts.
+- Optional: Lean environment for formal verification or dataset extension.
+
+### Getting Started
+1. **Clone or Download the Repository**:
+   ```bash
+   git clone https://huggingface.co/[your-username]/solfunmeme-transaction-cache
+   cd solfunmeme-transaction-cache
+   ```
+
+2. **Explore Transaction Data**:
+   - Navigate to `rpc_cache/` and inspect `method_getTransaction_signature_*.json` files.
+   - Use a script to filter transactions involving the Raydium AMM program (`675kPX9MHTjS2zt1qfr1NYHuzeLXfQM9H24wFSUt1Mp8`).
+   - Identify trading activity by checking token balance changes:
+     - **Buys**: SFM balance increases for an account.
+     - **Sells**: SFM balance decreases.
+
+3. **Example Python Script**:
+   See `[read.py]`.
+
+4. **Interpret Findings**:
+   - Buys reflect community engagement or investment in SFM’s Hyper-Pump Mechanism.
+   - Sells may indicate profit-taking or market adjustments.
+   - Aggregate data to derive insights into trading volume, liquidity, or wallet activity.
+
+
+## Limitations
+
+- **Temporal Scope**: The dataset reflects transactions up to the latest RPC query, typically limited to 1000 signatures per `getSignaturesForAddress` call. Continuous updates are needed for real-time analysis.
+- **Liquidity Constraints**: SFM’s low liquidity on Raydium may result in sparse or volatile transaction data, affecting analysis depth.
+- **Data Complexity**: Solana’s JSON-RPC responses are detailed and require parsing expertise to extract meaningful insights.
+- **Temporary Files**: The `rpc_cache/` directory includes temporary files (`temp_*.json`, `temp_*.txt`) for debugging, which are not primary analysis targets.
+
+## Contributing
+
+We encourage contributions to enhance the dataset’s utility:
+1. Fork this repository on Hugging Face.
+2. Add new JSON caches, analysis scripts, or improved documentation.
+3. Submit a pull request with a clear description of your changes.
+4. For code contributions, update the `getSolfunmeme.lean` script on Codeberg and reference this dataset.
+
+Please report issues or suggest features on Codeberg. Verified users (via wallet-signed transactions) can participate in the SOLFUNMEME DAO to shape the project’s future.
+
+## License
+
+This dataset is licensed under the MIT License (`LICENSE`), permitting free use, modification, and distribution, subject to the license terms.
+
+## Contact
+
+Engage with the SOLFUNMEME community:
+- **Codeberg**: [https://codeberg.org/introspector/SOLFUNMEME](https://codeberg.org/introspector/SOLFUNMEME) (primary communication channel)
+- **Discord**: [https://discord.gg/WASKdrBBzu](https://discord.gg/WASKdrBBzu)
+- **Telegram**: [https://t.me/introsp3ctor](https://t.me/introsp3ctor)
+- **Twitter (Official)**: [https://x.com/zos_sfm](https://x.com/zos_sfm)
+- **Twitter (Developer)**: [https://twitter.com/introsp3ctor](https://twitter.com/introsp3ctor)
+- **Website**: [https://solfunmeme.com](https://solfunmeme.com)
+
+## Acknowledgments
+
+- **James Michael DuPont (@introsp3ctor)**: Visionary behind SOLFUNMEME and the Zero Ontology System.
+- **Solana Community**: For providing scalable blockchain infrastructure.
+- **Lean Community**: For enabling formal verification of transaction data.
+- **Hugging Face**: For hosting this open-access dataset.
+
+This dataset empowers users to delve into the SOLFUNMEME ecosystem, uncovering insights into decentralized trading, meme propagation, and the innovative ZOS framework. Start exploring today!