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RT @quantscience_: 🚨BREAKING: A new Python library for algorithmic trading. Introducing TensorTrade: An open-source Python framework for….

RT @quantscience_: Python is wild. Take this portfolio chart. I made it in 15 lines of code. And 3 Python packages. .

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Performance: . Here's a performance chart of a reward-optimized example.

Next Steps: Reward Agents. Reward Agents (AI) bring a new capability to allow Reinforcement Learning to integrate a reward system that allows the Agent to optimize the strategy to a reward (e.g. profit).

Step 3: Initialize and run with Ray. Now it’s time to initialize and run Ray, passing all the parameters necessary, including the name of the environment creator function (create_env defined above).

Step 2: Create a Configuration. Here we are using the config dictionary to store the CSV filename that we need to read.

Example: Using TensorTrade to Train and Evaluate with Reinforcement Learning. Step 1: Create training and evaluation sets. We'll start by creating a training and evaluation set as CSV files.

TensorTrade is an open source Python framework for building, training, evaluating, and deploying robust trading algorithms using reinforcement learning leveraging:. - numpy.- pandas.- gym.- keras.- tensorflow.

🚨BREAKING: A new Python library for algorithmic trading. Introducing TensorTrade: An open-source Python framework for trading using Reinforcement Learning (AI)

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That's a wrap! Over the next 24 days, I'm sharing my top 24 algorithmic trading concepts to help you get started. If you enjoyed this thread:. 1. Follow me @quantscience_ for more of these.2. RT the tweet below to share this thread with your audience.

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Python is wild. Take this portfolio chart. I made it in 15 lines of code. And 3 Python packages.

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That's a wrap! Over the next 24 days, I'm sharing my top 24 algorithmic trading concepts to help you get started. If you enjoyed this thread:. 1. Follow me @quantscience_ for more of these.2. RT the tweet below to share this thread with your audience.

🚨 WORKSHOP: How I built an automated algorithmic trading system with Python. Hedge funds have an unfair advantage: better tools & faster execution. That ends on July 24th. 👉 Register here to learn how with Python (500 seats):