Search Results for "data capture framework"
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Showing 16 open source projects for "data capture framework"
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Chainlink
node of the decentralized oracle network
...Build on a flexible framework that can retrieve data from any API, connect with existing systems, and integrate with any current or future blockchain. Integrate pre-built, time-tested oracle solutions that already secure tens of billions in smart contract value for market-leading decentralized applications. Use a decentralized network of Chainlink Automation nodes to automate contracts, mitigating risk of manual interventions and centralized servers. -
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Synthetix
Synthetix Solidity smart contracts
Synthetix is a new financial primitive enabling the creation of synthetic assets, offering unique derivatives and exposure to real-world assets on the blockchain. Leveraging the Synthetix debt pool and our innovative liquidity framework, our traders are guaranteed to have some of the best price execution around, with little to no slippage and fills you can’t get elsewhere. Capture the price movements of popular cryptocurrencies, fiat currencies, stocks, commodities and more with zero slippage. Synthetic assets, or Synths, are assets voted into existence by the community and can come in the form of fiat currencies, cryptocurrencies, stocks, commodities and anything else with a price. ... -
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Crypto Trading Bot
Cryptocurrency trading bot in javascript for Bitfinex
...It aims to go beyond basic buy-and-sell signal bots by supporting more practical trading mechanics such as stop-loss or stop-limit-style behavior where available. The project is explicitly not production-ready, so it should be treated as an educational and experimental trading framework rather than a safe financial automation system. It is useful for developers learning algorithmic trading architecture, exchange APIs, market data handling, and strategy testing. -
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Jesse
An advanced crypto trading bot written in Python
Jesse is an open-source AI agent framework designed to help developers build and orchestrate intelligent workflows that combine large language models (LLMs) with external tools, automation logic, and real-world actions. It acts as an agent manager where you can define tasks, contexts, and tool integrations so that AI reasoning is reliably connected to deterministic procedures like API calls, data retrieval, and task execution. -
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Ninjabot
A fast cryptocurrency platform for trading bot in Go
A fast cryptocurrency trading bot framework implemented in Go. Ninjabot permits users to create and test custom strategies for spot markets. Ninjabot is an open-source platform that provides tools to implement custom strategies and backtests for trading cryptocurrencies in Go. Ninjabot CLI provides utilities commands to support backtesting and bot development. Currently, we only support Binance exchange. If you want to include support for other exchanges, you need to implement a new struct... -
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Union
Serverless backend platform for Web3-native app development
Union is a backend-as-a-service (BaaS) framework designed for building Web3-native applications. It provides a serverless execution layer with built-in authentication, event handling, and state management tailored for decentralized systems. Developers can write backend logic using WebAssembly and deploy logic that interacts with smart contracts and blockchain data without managing infrastructure. -
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btcd
An alternative full node bitcoin implementation written in Go (golang)
It properly downloads, validates, and serves the block chain using the exact rules (including consensus bugs) for block acceptance as Bitcoin Core. We have taken great care to avoid btcd causing a fork to the block chain. It includes a full block validation testing framework which contains all of the 'official' block acceptance tests (and some additional ones) that is run on every pull request to help ensure it properly follows consensus. Also, it passes all of the JSON test data in the Bitcoin Core code. It also properly relays newly mined blocks, maintains a transaction pool, and relays individual transactions that have not yet made it into a block. ... -
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Starknet Foundry
Blazing fast toolkit for developing Starknet contracts
Starknet Foundry is a fast development toolkit for building and testing Starknet smart contracts. It is written in Rust and built around native Cairo testing and Starknet-specific execution infrastructure. The project includes snforge for contract testing and sncast for interacting with deployed Starknet contracts from the command line. It is useful for developers who need testing, deployment, transaction handling, chain data access, and contract interaction tools in one workflow. The... -
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SQUEEZER
Squeezer framework, build serverless dApps
Squeezer is a platform that empowers new-entry blockchain developers to build serverless dApps simply as dead. The main usage of the ChainKit is to unify top blockchains interfaces into a single normalized API interface, therefore you can build blockchain dApps easily without digging into blockchain complex infrastructure. Bi-directional on-chain transactions (inbound and outbound). Build dApps connecting to smart contracts using chain kit agnostic connector. Quick intuitive code deployments... -
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This project provides a framework for scanning and executing various trading strategies on the TON blockchain ecosystem. It retrieves market data from multiple decentralized exchanges (DEXs) and applies a range of trading strategies to identify potential opportunities. This open-source, AI-powered bot is a versatile tool designed to run seamlessly on both Windows and macOS platforms.
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11
JesseAi
Advanced AI-Powered Python Crypto Trading Bot 2026 - Free Backtesting
Jesse Bot: Advanced AI-Powered Python Best Crypto Trading Bot & Framework (2026) Jesse Bot — free open-source Python crypto trading bot & robust framework for cryptocurrency markets. Build, backtest, AI-optimize, and execute precise automated strategies with zero look-ahead bias. Use JesseGPT — built-in AI assistant — to write, debug, and refine strategies effortlessly, even as a beginner. Secure live trading on Binance, Bybit & major exchanges, full risk management, leverage/futures... -
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Blankly
Easily build, backtest and deploy your algo in just a few lines
Blankly is a live trading engine, backtest runner and development framework wrapped into one powerful open-source package. Models can be instantly backtested, paper traded, sandbox tested and run live by simply changing a single line. We built blankly for every type of quant including training & running ML models in the same environment, cross-exchange/cross-symbol arbitrage, and even long/short positions on stocks (all with built-in WebSockets). Blankly is the first framework to enable... -
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Dapp tools by DappHub
Dapp, Seth, Hevm, and more
Command line tools and smart contract libraries for Ethereum smart contract development. All you need Ethereum development tool. Build, test, fuzz, formally verify, debug & deploy solidity contracts. Ethereum CLI. Query contracts, send transactions, follow logs, slice & dice data. Testing-oriented EVM implementation. Debug, fuzz, or symbolically execute code against local or mainnet state. Sign Ethereum transactions from a local keystore or hardware wallet. dapptools is currently in a stage... -
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Exonum
An extensible open-source framework for creating blockchain apps
Exonum is an extensible open-source framework for creating blockchain applications. Exonum can be used to create cryptographically powered distributed ledgers in virtually any problem domain, including FinTech, GovTech, and LegalTech. The Exonum framework is oriented towards creating permissioned blockchains, that is, blockchains with the known set of blockchain infrastructure providers. Blockchain is a groundbreaking technology that can help streamline and improve key business processes... -
15
Catalyst
An Algorithmic Trading Library for Crypto-Assets in Python
Catalyst is an algorithmic trading library for crypto-assets written in Python, originally developed to let quants and developers design, backtest, and deploy trading strategies in a unified environment. It builds on top of Zipline, extending that ecosystem to support crypto exchanges and high-resolution historical data (daily and minute bars). Users can express strategies in Python, run backtests against historical price data, and analyze performance through built-in metrics and analytics to evaluate profitability, risk, and behavior under different market conditions. Beyond backtesting, Catalyst was designed to support live trading on multiple crypto exchanges such as Binance, Bitfinex, Bittrex, and Poloniex, bridging simulation and production within the same framework. -
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fooltrader
Quant framework for stock
Build a standard data schema, and then implement various connectors to import systems you are familiar with for analysis. fooltrader is a quantitative analysis trading system designed using big data technology, including data capture, cleaning, structuring, calculation, display, backtesting and trading. Its goal is to provide a unified framework for the whole market (stock, futures, bonds, foreign exchange, digital currency, macroeconomics, etc.) for research, backtesting, forecasting, and trading. ...
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