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https://github.com/mchmarny/tsignal

Analyzing social media sentiment and its impact on stock market
https://github.com/mchmarny/tsignal

analytics golang nasdaq nlp sentiment-analysis twitter

Last synced: about 1 month ago
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Analyzing social media sentiment and its impact on stock market

Host: GitHub
URL: https://github.com/mchmarny/tsignal
Owner: mchmarny
License: apache-2.0
Created: 2017-05-14T22:34:58.000Z (about 7 years ago)
Default Branch: master
Last Pushed: 2023-10-21T06:44:36.000Z (8 months ago)
Last Synced: 2024-02-11T10:39:01.128Z (4 months ago)
Topics: analytics, golang, nasdaq, nlp, sentiment-analysis, twitter
Language: Go
Homepage:
Size: 310 KB
Stars: 36
Watchers: 6
Forks: 5
Open Issues: 0
Metadata Files:
- Readme: README.md
- License: LICENSE

Lists

awesome-go-quant - tsignal - Analyzing social media sentiment and its impact on stock market (Golang / Sentiment Intensity Analyzer)

README

# tsignal
Analyzing social media sentiment and its impact on stock market

> Personal project, does not represent Google

![tsignal topology](/../master/images/tsignal-topology-small.png?raw=true "tsignal topology")

This Go app deploys into [GKE](https://cloud.google.com/container-engine/), subscribes to Twitter stream for all companies defined in the `Stocks` table in [Cloud Spanner](https://cloud.google.com/spanner/) and scores each event against the [Google NLP API](https://cloud.google.com/natural-language/) while comparing the user sentiment against the stock ask price against Yahoo API.

Eventually there will be a UI, for now, there are sample SQL scripts you can use to execute against the Cloud Spanner DB to analyze the data.

![sample query](/../master/images/sample-query-result.png?raw=true "sample query")

> All GCP services used in this example can be run under the GCP Free Tier plan. More more information see https://cloud.google.com/free/

## Configuration

Edit the `scripts/config.sh` file with your Twitter API info. Alternatively
define the following environment variables. Instructions how to configure your Twitter API access codes are found [here](http://docs.inboundnow.com/guide/create-twitter-application/):

```
# export T_CONSUMER_KEY=""
# export T_CONSUMER_SECRET=""
# export T_ACCESS_TOKEN=""
# export T_ACCESS_SECRET=""
```

## Run

Once all the necessary environment variables are defined you can execute the `tsignal` appl locally `go run *.go` or use the included `Dockerfile` to create an image which you can then publish to the GCP (if needed, there is a script `build-publish` that will do all that for you.

## Cleanup

The cleanup of all the resources created in this application can be accomplished by executing the `scripts/cleanup.sh` script.

### TODO

* Tests, yes please
* UI for reports and config
* Way to subscribe to non-NASDAQ stock prices