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From TradersList Editors
Enhance trading model development and execution with Blankly's versatile backtesting, cross-exchange trading, and secure collaboration tools.
Enhance trading model development and execution with Blankly's versatile backtesting, cross-exchange trading, and secure collaboration tools.
Trade Management Platform
Trade Management Platform
Blankly Platform: Open-Source Python Trading Model Development and Backtesting
Blankly Platform: Open-Source Python Trading Model Development and Backtesting
Blankly Website Preview
Blankly Website Preview
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Blankly is a platform and open-source Python package that enables developers to build, backtest and deploy automated trading models for stocks, cryptocurrencies, and forex across multiple exchanges in a streamlined fashion.
Blankly is a platform and open-source Python package that enables developers to build, backtest and deploy automated trading models for stocks, cryptocurrencies, and forex across multiple exchanges in a streamlined fashion.
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Open Source
Listing has publically available source code that can be audited and modified as needed.
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Open Source
Listing has publically available source code that can be audited and modified as needed.
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Free/Paid Access
Some features of this listing are fully free to use, but for unlimited access a payment is required.
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Free/Paid Access
Some features of this listing are fully free to use, but for unlimited access a payment is required.
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Robust Theory
Concepts and theories mentioned in listing are based on generally approved and well established notions.
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Robust Theory
Concepts and theories mentioned in listing are based on generally approved and well established notions.
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Popular Topic
Concepts and theories mentioned in listing are popular topics in web search
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Popular Topic
Concepts and theories mentioned in listing are popular topics in web search
Published by Blankly
Write Once, Trade Anywhere
Blankly's core strength is portability - write your trading logic once and deploy it across stocks, crypto, and forex without modifying code. Switching from Coinbase to Alpaca or Binance is as simple as changing one line. This eliminates the months typically spent adapting strategies to different exchange APIs.
Integrated Backtesting to Live Deployment
The framework unifies the full development workflow: backtest with historical data, paper trade, sandbox test, and go live - all using the same strategy code. For example, an RSI-based crypto bot can be backtested over a year of data and then deployed live in under 25 lines of Python with no code changes.
Write Once, Trade Anywhere
Blankly's core strength is portability - write your trading logic once and deploy it across stocks, crypto, and forex without modifying code. Switching from Coinbase to Alpaca or Binance is as simple as changing one line. This eliminates the months typically spent adapting strategies to different exchange APIs.
Integrated Backtesting to Live Deployment
The framework unifies the full development workflow: backtest with historical data, paper trade, sandbox test, and go live - all using the same strategy code. For example, an RSI-based crypto bot can be backtested over a year of data and then deployed live in under 25 lines of Python with no code changes.
Built-In Indicators and ML Integration
Blankly includes pre-built indicators like RSI, MACD, and Ichimoku Cloud, alongside cookbook examples for common strategies. It also integrates smoothly with machine learning libraries, allowing you to feed model predictions directly into your trading logic - from simple moving average crossovers to LSTM neural networks.
Cloud Deployment and Team Collaboration
The Blankly Platform handles cloud deployment, monitoring, and analytics through a single dashboard. Teams can share strategy ideas, compare backtesting runs across metrics like Sharpe and Sortino ratios, and manage multiple deployed models. The open-source package has over 2,400 stars on GitHub and runs with minimal CPU overhead.
Built-In Indicators and ML Integration
Blankly includes pre-built indicators like RSI, MACD, and Ichimoku Cloud, alongside cookbook examples for common strategies. It also integrates smoothly with machine learning libraries, allowing you to feed model predictions directly into your trading logic - from simple moving average crossovers to LSTM neural networks.
Cloud Deployment and Team Collaboration
The Blankly Platform handles cloud deployment, monitoring, and analytics through a single dashboard. Teams can share strategy ideas, compare backtesting runs across metrics like Sharpe and Sortino ratios, and manage multiple deployed models. The open-source package has over 2,400 stars on GitHub and runs with minimal CPU overhead.
Streamline building trading algorithms
Streamline building trading algorithms
Blankly lets you write trading logic once and deploy across stocks, crypto and forex without modifying code. The open-source Python package unifies backtesting, paper trading and live deployment using the same strategy code across multiple exchanges.
Blankly lets you write trading logic once and deploy across stocks, crypto and forex without modifying code. The open-source Python package unifies backtesting, paper trading and live deployment using the same strategy code across multiple exchanges.
Develop portable trading strategies
Switch from Coinbase to Alpaca or Binance by changing one line. Eliminate the months typically spent adapting strategies to different exchange APIs.
Move from backtest to live seamlessly
Use the same code for historical backtesting, paper trading and live execution. An RSI-based bot can be tested and deployed in under 25 lines.
Connect with ML and indicator libraries
Access pre-built indicators like RSI, MACD and Ichimoku. Integrate with machine learning libraries to feed model predictions into trading logic.
Common Questions About Algorithmic Trading Development
Common Questions About Algorithmic Trading Development
Blankly enables developers to build, backtest and deploy automated trading models across multiple exchanges. Here are common questions.
Blankly enables developers to build, backtest and deploy automated trading models across multiple exchanges. Here are common questions.
What makes Blankly different from other algo trading frameworks?
Write once, trade anywhere. Your trading logic works across stocks, crypto and forex without code modification. Switching from Coinbase to Alpaca or Binance is as simple as changing one line, eliminating months of API adaptation work.
Can I use machine learning models with Blankly?
Yes. Blankly integrates smoothly with ML libraries, allowing you to feed model predictions directly into trading logic. Examples range from simple moving average crossovers to LSTM neural networks.
Is Blankly open source?
Yes. The open-source package has over 2,400 stars on GitHub. Blankly also offers a cloud platform for deployment, monitoring and analytics through a dashboard for teams managing multiple models.
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Web sentiment
Web sentiment
Traders view Blankly positively, appreciating its ease, precision, openness, and support, despite noticing limitations in advanced features and development pace.
Traders view Blankly positively, appreciating its ease, precision, openness, and support, despite noticing limitations in advanced features and development pace.
Source: Online Discussion
Source: Online Discussion
Source: Online Discussion
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TradersList Reviews (2)
TradersList Reviews (2)
TradersList Community has given this listing two stars, indicating mild trust and some utility value. Do your research first.
TradersList Community has given this listing two stars, indicating mild trust and some utility value. Do your research first.
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Source: TradersList Reviews
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