Algorithmic Trading with Apache Flink | Hands-on guide

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A Complete HANDS-ON and In-depth practical course on a Algorithmic Trading with a tool better than Spark - Apache Flink

1. Introduction

1. Introduction and Background

2. Stock Trading Strategies

3. Process involved in Buying or Selling Stocks

2. System Architecture and Installations

1. System Architecture

2. Installation, Setup and Configuration

3. Historical Data Producers

1. Historical Prices Producer

2. Market News Producer

4. Implementing Custom Trading Algorithms

1. Integrating FlinkSQL for Algorithm Orchestration

2. Implementing Custom Algorithm

3. Creating Trading Signals with Market News and Prices

4. Writing Trading Signals to Kafka for Consumption

5. Finishing up Kafka Consumption implementation

6. Creating Trading Signals Handler and Consumer

7. Creating Trading Signal Consumer Hook

8. Sending Trading Signals to Slack

9. Triggering BUY and SELL Signals in the Market

5. Backtesting and Algorithm Tests

1. Algorithm 1 - AllWeatherStrategy

2. Algorithm 2 - GoldenCrossStrategy

3. Algorithm 3 - MomentumStrategy

4. Implementing AllWeather Backtesting Algorithm

5. Finishing up AllWeather Backtesting Algorithm

6. Implementing GoldenCross Backtesting Algorithm

7. Implementing the MomentumStrategy Backtesting Algorithm

6. Verification of Results and Portfolio Review

1. Market Trade Verification

2. Verification of Past Results on Advanced Markets

7. Resources and Next Steps

1. Full Code and Next Steps

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تولید کننده: Udemy