alpaca-backtrader-api is a python library for the Alpaca trade API within backtrader framework. It allows rapid trading algo development easily, with support for the both REST and streaming interfaces. For details of each API behavior, please see the online API document. Note this module supports only python version 3.5 and above, due to the underlying library alpaca-trade-api.
https://pypi.org/project/alpaca-backtrader-api/Tags | alpaca trading trading-bot quants backtrader algotrading stock-trading backtesting finance stock-market trading-algorithms |
Implementation | Python |
License | Apache |
Platform | Windows Linux |
Algotrading Framework is a repository with tools to build and run working trading bots, backtest strategies, assist on trading, define simple stop losses and trailing stop losses, etc. This framework work with data directly from Crypto exchanges API, from a DB or CSV files. Can be used for data-driven and event-driven systems. Made exclusively for crypto markets for now and written in Python.
bot framework crypto trading realtime trading-bot trading-api cryptocurrency algotrading trading-algorithms cryptocurrencies hft hft-trading algorithmic-trading trading-simulator backtesting-trading-strategies backtest high-frequency-trading cryptocurrency-exchanges crypto-algotradingThis ensemble strategy is reimplemented in a Jupiter Notebook at FinRL. Stock trading strategies play a critical role in investment. However, it is challenging to design a profitable strategy in a complex and dynamic stock market. In this paper, we propose a deep ensemble reinforcement learning scheme that automatically learns a stock trading strategy by maximizing investment return. We train a deep reinforcement learning agent and obtain an ensemble trading strategy using the three actor-critic based algorithms: Proximal Policy Optimization (PPO), Advantage Actor Critic (A2C), and Deep Deterministic Policy Gradient (DDPG). The ensemble strategy inherits and integrates the best features of the three algorithms, thereby robustly adjusting to different market conditions. In order to avoid the large memory consumption in training networks with continuous action space, we employ a load-on-demand approach for processing very large data. We test our algorithms on the 30 Dow Jones stocks which have adequate liquidity. The performance of the trading agent with different reinforcement learning algorithms is evaluated and compared with both the Dow Jones Industrial Average index and the traditional min-variance portfolio allocation strategy. The proposed deep ensemble scheme is shown to outperform the three individual algorithms and the two baselines in terms of the risk-adjusted return measured by the Sharpe ratio.
deep-reinforcement-learning openai-gym sharpe-ratio ddpg stock-trading ppo a2c-algorithm ensemble-strategy stock-trading-strategy automated-stock-tradingPyAlgoTrade is a Python Algorithmic Trading Library with focus on backtesting and support for paper-trading and live-trading. Let’s say you have an idea for a trading strategy and you’d like to evaluate it with historical data and see how it behaves. PyAlgoTrade allows you to do so with minimal effort.
trading stock algorithmic-trading library trading-strategiesGekko Trading Bot. Repository of strategies which I found at Git and Google, orginal source is in README or .js file. Strategies was backtested, results are in backtest_database.csv file. I used ForksScraper and Gekko BacktestTool to create content of this repository.
gekko strategies gekko-strategies gekko-backtest backtest-database cryptocurrency cryptocurrencies crypto cryptocurrency-exchanges trading-bot trading-strategies trading-algorithms trading-platform stock stock-price-prediction hodl rsi technical-analysis trading-simulator tradingLean Engine is an open-source fully managed C# algorithmic trading engine built for desktop and cloud usage. It was designed in Mono and operates in Windows, Linux and Mac platforms. Lean drives the web based algorithmic trading platform QuantConnect.Handle all messages from the algorithmic trading engine. Decide what should be sent, and where the messages should go. The result processing system can send messages to a local GUI, or the web interface.
c-sharp algorithmic-trading-engine quantconnect lean-engine finance algorithm options trading-algorithms trading-platform trading-strategies trading-bot stock-indicators forexFinRL is an open source library that provides practitioners a unified framework for pipeline strategy development. In reinforcement learning (or Deep RL), an agent learns by continuously interacting with an environment, in a trial-and-error manner, making sequential decisions under uncertainty and achieving a balance between exploration and exploitation. The open source community AI4Finance (to efficiently automate trading) provides educational resources about deep reinforcement learning (DRL) in quantitative finance. To contribute? Please check the end of this page.
finance deep-reinforcement-learning openai-gym fintech stock-trading multi-agent-learning stock-markets pythorch tensorflow2 drl-trading-agents drl-algorithms finrl-library drl-framework trading-tasksStock-Prediction-Models, Gathers machine learning and deep learning models for Stock forecasting, included trading bots and simulations. I code LSTM Recurrent Neural Network and Simple signal rolling agent inside Tensorflow JS, you can try it here, huseinhouse.com/stock-forecasting-js, you can download any historical CSV and upload dynamically.
deep-learning monte-carlo trading-bot lstm stock-market stock-price-prediction seq2seq learning-agents stock-price-forecasting evolution-strategies lstm-sequence stock-prediction-models deep-learning-stock strategy-agent monte-carlo-markov-chainZipline is a Pythonic algorithmic trading library. It is an event-driven system that supports both backtesting and live-trading. Zipline is currently used in production as the backtesting and live-trading engine powering Quantopian -- a free, community-centered, hosted platform for building and executing trading strategies.Note: Installing Zipline via pip is slightly more involved than the average Python package. Simply running pip install zipline will likely fail if you've never installed any scientific Python packages before.
algorithmic-trading trading machine-learning stock-analysisStockSharp (shortly S#) – are free set of programs for trading at any markets of the world (American, European, Asian, Russian, stocks, futures, options, Bitcoins, forex, etc.). You will be able to trade manually or automated trading (algorithmic trading robots, conventional or HFT).Available connections: FIX/FAST, LMAX, Rithmic, Fusion/Blackwood, Interactive Brokers, OpenECry, Sterling, IQFeed, ITCH, FXCM, QuantHouse, E*Trade, BTCE, BitStamp and many other. Any broker or partner broker (benefits).
stocksharp hft trading-strategies trading-robots trading-platform algorithmic-trading-engine forex bitcoins c-sharp broker markets nasdaq quantitative-finance trading fixprotocol finance hft-trading iqfeed interactive-brokers fxcm bitcoinCCXT – CryptoCurrency eXchange Trading Library. A JavaScript / Python / PHP library for cryptocurrency trading and e-commerce with support for many bitcoin/ether/altcoin exchange markets and merchant APIs. The CCXT library is used to connect and trade with cryptocurrency / altcoin exchanges and payment processing services worldwide. It provides quick access to market data for storage, analysis, visualization, indicator development, algorithmic trading, strategy backtesting, bot programming, webshop integration and related software engineering.
altcoin api arbitrage bitcoin bot cryptocurrency crypto e-commerce ethereum exchange invest library strategy trading btc eth trade merchant market-dataUsing stock historical data, train a supervised learning algorithm with any combination of financial indicators. Rapidly backtest your model for accuracy and simulate investment portfolio performance.During the testing period, the model signals to buy or sell based on its prediction for price movement the following day. By putting your trading algorithm aside and testing for signal accuracy alone, you can rapidly build and test more reliable models.
machine-learning support-vector-machines portfolio-simulation backtesting-trading-strategies stock-marketK.sh is a very low latency market making trading bot with a full featured web interface, it directly connects to several cryptocoin exchanges. On a decent machine reacts to market data by placing and canceling orders in under milliseconds.
trading-bot bitcoin financial trading-platform trading-strategies coinbase okcoin bot-platform docker-application unix-like bob-marley star-trek collaborative trading bot-creation bot-framework market-maker market-data cryptocurrency-tradingAfter this date, you will no longer be able to access IEX Exchange market data through this API. IEX Exchange market data will continue to be available via the TOPS and DEEP feeds, as well as through commercial vendors such as IEX Cloud, which is operated separately from IEX Exchange. If you have any questions, please reach out to api@iextrading.com. This github repository is not a support channel for IEX Cloud. We are looking to migrate to a more centralized, scalable community support site in 2021. In the mean time, please consult the following links for information and support.
api finance real-time fintech stock-market iex market-data stocks stock-prices stock-exchange iex-api iextradingThe most valuable commodity I know of is information.Gekko is a Bitcoin TA trading and backtesting platform that connects to popular Bitcoin exchanges. It is written in javascript and runs on nodejs.
gekko trading-bot trading-strategies bitcoin exchange trading bot ta financeTechAn is a technical analysis library for Go! It provides a suite of tools and frameworks to analyze financial data and make trading decisions. Techan is heavily influenced by the great ta4j. It provides Basic and advanced technical analysis indicators, Profit and trade analysis and Strategy building.
technical-analysis stock stock-market bitcoin trading-strategies trading-bot cryptocurrencyProvide all the tools traders need, both professional and hobbyist alike, to create automated trading bots on the GDAX and supported digital asset exchanges. Note: Node 7.6 or above is required.The src/samples folder contains many working demo scripts showcasing different aspects of the toolkit, while the tutorials folder contains running demo programs to accompany the GTT documentation.
cryptocurrency gdax trading trading-bot trading-algorithms poloniex bitfinex foreign-exchange-rates websocket-api toolkit bot market-maker arbitrageNowTrade is an algorithmic trading library with a focus on creating powerful strategies using easily-readable and simple Python code. With the help of NowTrade, full blown stock/currency trading strategies, harnessing the power of machine learning, can be implemented with few lines of code. NowTrade strategies are not event driven like most other algorithmic trading libraries available. The strategies are implemented in a sequential manner (one line at a time) without worrying about events, callbacks, or object overloading.
trading technical-indicators neural-network random-forest stock currency algorithmic-trading-library machine-learning algorithmic-tradingCassandre is an open-source framework that makes it easy to create your crypto trading bot in Java. Our Spring boot starter takes care of exchange connections, accounts, orders, trades, and positions so you can focus on building your strategy.
bot spring trading coinbase market trading-bot cryptocurrency spring-boot-starter trading-strategies technical-analysis trades sprint-boot binance ta4j kucoin crypto-trading cryptotrading crypto-trading-botBitBot is a Crypto-Currency trading bot and backtesting platform that connects to popular Bitcoin exchanges (Bitstamp, Kraken). It is written in javascript and runs on Node.JS. BitBot is modular and supports multiple trading strategies / exchanges.
cryptocurrency trading botBuild and tune investment algorithms for use with artificial intelligence (deep neural networks) with a distributed stack for running backtests using live pricing data on publicly traded companies with automated datafeeds from: IEX Cloud, Tradier and FinViz (includes: pricing, options, news, dividends, daily, intraday, screeners, statistics, financials, earnings, and more). This will pull Redis and Minio docker images.
docker kubernetes redis deep-neural-networks options deep-learning jupyter tensorflow helm s3 keras minio iex helm-charts stocks algorithmic-trading deep-learning-tutorial tradier backtesting iexcloud iextrading
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