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Backtrader Alternatives
Similar projects and alternatives to backtrader
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ccxt
A JavaScript / TypeScript / Python / C# / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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backtesting.py
:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.
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awesome-quant
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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fast-trade
low code backtesting library utilizing pandas and technical analysis indicators
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paperbroker
An open source simulated options brokerage and UI for paper trading, algorithmic interfaces and backtesting.
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blankly
🚀 💸 Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package.
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fastquant
fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!
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vectorbt
Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.
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interactive-broker-python-api
A python packaged used to interact with the Interactive Brokers REST API.
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univocity-trader
open-source trading framework for java, supports backtesting and live trading with exchanges
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malgova
go module for algo live trading and backtesting library to use with NSE/NFO traded scrips. supports Level 1/ Level 2 tickdata
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backtrader reviews and mentions
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[HIRING] Develop template code for crypto backtesting using backtrader
You need to create a template code using https://github.com/mementum/backtrader. 1. Get the 1m candlestick data from binance for a period of 1 month for two symbols and store it in a data folder with data for each day and symbol in a different csv file. Read data for the symbols BTC & ETH. 2. Read the data for 1 month in python and put it in a dataframe for each symbol. 3. Import backtrader and feed data for these two symbols. 4. Create a basic strategy to check the ratio of prices and take trades accordingly. 5. Get the results using library. I am not much interested in the trading logic, just want to get the system to backtest up. It's a straightforward task for someone who has used backtrader before or 30-min job to read the documentation and do it. Project compensation : 5$ Can transfer directly to your binance account.
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What backtest data would you say is more accurate.
For this reason I think it's important to have a deep understanding of exactly how the backtesting engine that you are using works. Building your own backtesting engine is the absolute best way to gain this understanding. That is the path I personally chose and I don't regret it! However, that is also a very difficult and time consuming undertaking. So the next best thing is using something that is open source and has a good reputation like backtrader (https://www.backtrader.com/).
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Backtesting Engines for Testing Intraday Data on Thousands of Symbols Simultaneously
However, if you decide to go down the more well-trodden path of using open source backtesting frameworks then I personally would recommend backtrader (https://www.backtrader.com/). As far as I can tell, it has pretty much all the same features as my own system. The only difference is speed. My backtester is an order of magnitude faster and scales much better to testing thousands of symbols simultaneously. However, for 99% of retail algo traders this will be completely irrelevant.
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Algo Trading for SQQQ/TQQQ
You are welcome to go to discord or any other place. Your question wasn't very clear and thus I made that comment. Now, you still haven't made it clear so I am going to assume that you are looking for someone to "share a bot" that can trade your strategy. It doesn't work that way with algo trading. You code your "bot" to do things for you - The easiest way to start would be to look at backtrader but you will still have to code your own strategy in.
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Quantconnect Rant
I mean, some random dude managed to pull a platform with more basic functionalities than that. Sadly that repo is dead and the live trading implementation no longer works
- Do you use automated trading software or nah?
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Python library to retrieve data from TradingView
I've been working on a Python library which lets the user retrieve data from TradingView.com so it could be used in backtesting a strategy. The project is called TvDatafeedLive and is available on GitHub. To be fair, the project is actually an extension of a project called TvDatafeed, which is a really good project, but only supports retrieving historic data (so far). So, I've taken the liberty to fork it and implement retrieving data continously and "real-time". The data is retrieved in Pandas DataFrames and can easily be plugged into backtrader. There is instructions included in the GitHub page. If this sounds interesting then please check it out and leave feedback if there are any thoughts.
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Historical Trading to Prove/Disprove Plan
If you are a python programmer there is backtrader.
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Backtesting tools
For stocks and crypto: QuantConnect and Backtrader For options: MesoSim and OptionNetExplorer
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Algo Trading Environments
Backtrader can also do live trading afaik.
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A note from our sponsor - SaaSHub
www.saashub.com | 19 Apr 2024
Stats
mementum/backtrader is an open source project licensed under GNU General Public License v3.0 only which is an OSI approved license.
The primary programming language of backtrader is Python.