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https://github.com/techfanetechnologies/pytvlwcharts

An Experimental Python Wrapper For Tradingview's Lightweight-Charts To Be Used In Notebook Environments (Google Colab).
https://github.com/techfanetechnologies/pytvlwcharts

banknifty drmoonejune financial-charting-library financial-charts lightweight-charts live-charts live-ohlc-chart nifty nifty50 nse nseindia ohlc ohlc-chart ohlc-plot option-chain python tradingview tradingview-chart tradingview-charting-library tradingview-widget

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An Experimental Python Wrapper For Tradingview's Lightweight-Charts To Be Used In Notebook Environments (Google Colab).

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# Python Tradingview's Lightweight-Charts (pytvlwcharts)
An Experimental Python Wrapper For [Tradingview's Lightweight-Charts](https://tradingview.github.io/lightweight-charts/) To Be Used In Notebook Environments _(Google Colab etc.)_. [Example Lightweight-Charts](https://codesandbox.io/examples/package/lightweight-charts)

#### _If You have liked the library, Do Star This Repository and Stay-Up-To-Date_


How To Star A Repository

## Instructions on running the program for the first time
Install The `pytvlwcharts` Library Via `pip install -U git+https://github.com/TechfaneTechnologies/pytvlwcharts.git` And Then Open A Jupyter Notebook Locally _(With Voila)_ or On [Google Colab](https://colab.research.google.com/) or On Flask Mode.

Please Refer [pytvlwcharts.ipynb](https://github.com/TechfaneTechnologies/pytvlwcharts/blob/main/pytvlwcharts.ipynb) for usage details.

## Screen Shots
https://youtu.be/zQKB9_bMkfM

https://youtu.be/BIu8I8hC2xI

https://youtu.be/3ncFk_KdZzs

![image](https://user-images.githubusercontent.com/96371033/188302874-25dea27f-07c5-4723-810a-65d51e8b70fd.png)

![image](https://user-images.githubusercontent.com/96371033/188294528-73ddaf9e-55b2-491e-bfba-2733a9361994.png)

![image](https://user-images.githubusercontent.com/96371033/188294553-ac8ec934-251e-4fe9-a30c-d40f63d5f9f6.png)

![image](https://user-images.githubusercontent.com/68828793/188259987-b5976ef1-5c83-4f2f-a937-c83c53fec791.png)

![image](https://user-images.githubusercontent.com/96371033/188273414-83a7ea6a-90ad-4f6a-90da-07c277abf2ff.png)

![image](https://user-images.githubusercontent.com/96371033/188295701-e48861e7-68d3-47ad-ad7a-f0f4f4f49e11.png)

![image](https://user-images.githubusercontent.com/96371033/188295727-98a79ce0-7d3a-4608-96cf-d4551aca3ef6.png)

![image](https://user-images.githubusercontent.com/96371033/188295706-dc566287-b651-4bf9-a37f-37682828259e.png)

![image](https://user-images.githubusercontent.com/96371033/188295711-3b29da01-65ba-45c4-a05e-b1d0fbe0eef8.png)

![image](https://user-images.githubusercontent.com/96371033/188297491-44960067-22ab-42cf-948b-51fcaf3310ef.png)

![image](https://user-images.githubusercontent.com/96371033/216821065-644a1eb4-ca7b-40f7-966e-ead78aa08939.png)

Anchored VWAP [Notebook](https://colab.research.google.com/drive/1ApN2CHWNUZsKNxiqYjpT9glQdwt1c6qN?usp=sharing), [Flask App](https://colab.research.google.com/drive/1w1T2erRjyz3xLkentuIffI75z9kUkN6_?usp=sharing)

![image](https://user-images.githubusercontent.com/96371033/220196000-65690a23-4321-4c9c-9bf5-1426b1ac6b7f.png)

![image](https://user-images.githubusercontent.com/96371033/220196166-afcb9fe2-9e7f-4867-9f22-f42834eb27da.png)

![image](https://user-images.githubusercontent.com/96371033/221234325-ef7d00de-4c38-4918-9d1d-8426e383302c.png)

## License

Licensed under either of

- Apache License, Version 2.0 ([LICENSE-APACHE](LICENSE-APACHE) or http://apache.org/licenses/LICENSE-2.0)
- MIT license ([LICENSE-MIT](LICENSE-MIT) or http://opensource.org/licenses/MIT)

### Contribution

Unless you explicitly state otherwise, any contribution intentionally submitted
for inclusion in the work by you, as defined in the Apache-2.0 license, shall
be dual licensed as above, without any additional terms or conditions.