(Tutorial) Learn to Use Amberdata Streamlit

(Tutorial) Learn to Use Amberdata Streamlit

Table of Contents:

1. Introduction
2. What is Streamlit App?
3. How to Set Up and Run Streamlit App
4. Volumes Charts
   • 4.1 Understanding Taker Flow
   • 4.2 Segmenting Trades
   • 4.3 Narrowing Down the Strike Range
5. Positioning Charts
   • 5.1 Net Positioning
   • 5.2 Active and Expired Contracts
6. Gamma Profiles
   • 6.1 Analyzing Dealer Gamma
   • 6.2 Normalizing Contract Gamma
7. Vega Profiles
   • 7.1 Dealer Vega Exposure
   • 7.2 Weighting on Long-Dated Expirations
8. Futures Charts
   • 8.1 Open Interest and Liquidations
   • 8.2 Estimated Liquidation Levels
   • 8.3 Cumulative Net Delta
   • 8.4 Total Leverage Ratio
9. Conclusion

Streamlit App: Visualizing Sophisticated Notebooks with Ease

The Streamlit app is a powerful frontend GUI that allows users to Interact with pre-built Python notebooks through a visual format. With its clean and smooth interface, it provides an efficient way to explore and analyze complex data and API functionalities. This article will guide You through understanding and utilizing the various features of the Streamlit app, empowering you to make the most out of your data analysis and trading activities.

1. Introduction

In today's digital landscape, efficient data visualization and analysis have become crucial for making informed decisions. Whether you are a trader, data scientist, or enthusiast, having access to user-friendly tools that simplify the process can greatly enhance your workflow. Streamlit app is one such tool that enables you to easily interact with sophisticated Python notebooks, making your data exploration seamless and intuitive.

2. What is Streamlit App?

Streamlit app is a front-end graphical user interface (GUI) that allows users to harness the power of pre-built API Python notebooks. By simply inputting your API key, the app automatically runs and visualizes your chosen outputs. With a range of charts and graphs, it provides a comprehensive view of trade volumes, positioning, gamma profiles, vega exposure, and futures trading. Now let's Delve into each of these features and see how they can benefit your data analysis process.

4. Volumes Charts

Volume charts offer valuable insights into market activity, providing a taker's perspective on recent trades. Within this chart section, you can customize the date range and trade types to segment and analyze the data. By narrowing down the strike range, you can focus on specific aspects of the charts, making the information more accessible and readable. The charts included in this section are:

4.1 Understanding Taker Flow

The net cumulative volume Chart displays the net buying and selling activity over time, segmented by takers. Blue lines represent net buying of calls, while darker red lines indicate net selling, likely puts or out-of-the-money calls. This chart allows us to observe the net effect of taker activity through time.

4.2 Segmenting Trades

In this chart, we can explore the cumulative Vega exposure alongside the net volume. By considering the contracts' Vega value, we gain a deeper understanding of the overall Vega exposure resulting from taker activity. This Insight helps us gauge the impact of taker actions on the market.

4.3 Narrowing Down the Strike Range

By narrowing down the strike range, we can enhance the readability of the volume charts. This feature allows users to focus on specific areas of interest, enabling more precise analysis and decision-making.

5. Positioning Charts

The positioning charts provide a comprehensive view of the open interest and net positioning for a given contract. By observing the positioning over time, we can gain insights into market sentiment and identify potential market trends. This section encompasses the following insights:

5.1 Net Positioning

This chart displays the net positioning or open interest for a specific contract over a given date range. By assuming a position of zero at the beginning of the date, we can track the Current positioning and assess any changes over time. This chart reflects only active positioning and excludes expired contracts.

5.2 Active and Expired Contracts

In this section, we revisit the net positioning chart but with the addition of expired contracts. While the top charts focus solely on active contracts, the bottom charts provide a historical perspective by incorporating both active and expired contracts. This broader view allows for a more comprehensive understanding of the market positioning.

6. Gamma Profiles

Gamma profiles offer insights from a dealer's perspective, allowing users to analyze the dealer gamma exposure at different points in time. Here, we normalize each contract to the at-the-money gamma, creating smooth, user-friendly curves. This section provides the following insights:

6.1 Analyzing Dealer Gamma

By selecting a date and time, users can explore the dealer gamma exposure graphically. The chart shows how the gamma exposure fluctuates over time, providing key information for traders and analysts. Understanding dealer gamma is instrumental in anticipating market movements and making well-informed decisions.

6.2 Normalizing Contract Gamma

In this section, we explain the process of normalizing each contract's gamma to the at-the-money gamma. This normalization ensures smooth curves on the gamma exposure chart, making it easier to interpret the data correctly. Short-dated contracts at the money tend to have higher gamma values compared to long-dated contracts, highlighting the importance of normalization for accurate analysis.

7. Vega Profiles

Similar to gamma profiles, vega profiles offer insights into dealer vega exposure over time. Vega, being heavily weighted on long-dated expirations, provides different perspectives compared to gamma profiles. Let's explore the following aspects of vega profiles:

7.1 Dealer Vega Exposure

In this chart, we analyze the dealer vega exposure in the market. By visualizing the vega profiles, we gain an understanding of how dealers are exposed to changes in implied volatility. This knowledge helps traders and analysts anticipate market fluctuations and manage risks effectively.

7.2 Weighting on Long-Dated Expirations

Vega profiles differ from gamma profiles in terms of weighting. Vega is more heavily weighted on long-dated expirations due to the nature of Greek calculations. Traders and analysts must consider this weighting when interpreting and analyzing vega exposure and making trading decisions accordingly.

8. Futures Charts

Futures charts provide essential information for trading perpetuals and futures. By exploring different charts within this section, traders can gain insights into positioning, liquidations, and estimated open interest buildup. This section covers the following aspects:

8.1 Open Interest and Liquidations

The first chart displays the open interest for a specific futures contract. This chart helps traders assess overall market sentiment and the buildup of interest in a particular contract. Additionally, it visualizes the liquidations by displaying green and red bubbles, representing short and long liquidations, respectively.

8.2 Estimated Liquidation Levels

This chart showcases the estimated liquidation levels Based on the buildup of open interest over time. By analyzing the candle intervals and their impact on open interest, users can determine potential key levels where liquidations are likely to occur. This information is valuable for managing risk and making informed trading decisions.

8.3 Cumulative Net Delta

The cumulative net delta chart displays the net buying or selling of contracts in relation to the total delta exposure. By analyzing the net delta and its changes over time, traders can assess market sentiment and trend direction. This insight helps identify potential trading opportunities and manage risk effectively.

8.4 Total Leverage Ratio

In this chart, we consider the total leverage ratio by evaluating the cumulative net delta of contracts with the leverage ratio. By understanding the distribution of buys and sells based on the total leverage, traders gain valuable insights into market dynamics and the balance between long and short positions.

9. Conclusion

The Streamlit app provides a user-friendly and efficient solution for visualizing and analyzing sophisticated Python notebooks. With its array of charts and graphs, users can gain valuable insights into trade volumes, positioning, gamma profiles, vega exposure, and futures trading. By harnessing the power of Streamlit app, traders, data scientists, and enthusiasts can enhance their data analysis process and make well-informed decisions. Start exploring the Streamlit app today and unlock a new level of data visualization and analysis excellence.

FAQ

Q: Can I customize the charts and graphs in the Streamlit app? A: Yes, the Streamlit app allows users to customize various parameters such as date range, trade types, strike range, and more. Explore the app's functionalities to tailor the charts to your specific requirements.

Q: Can I use the Streamlit app for other cryptocurrencies or financial instruments? A: Absolutely! While this article focuses on Bitcoin, the Streamlit app is versatile and can be applied to a wide range of cryptocurrencies and financial instruments. Simply adjust the instrument name within the app to visualize and analyze the desired data.

Q: Can I export the charts and graphs from the Streamlit app? A: Yes, the Streamlit app enables users to export the charts and graphs for further analysis or presentation purposes. Click on the export option within the app to save the visuals in the desired format.

Q: Does the Streamlit app provide real-time data? A: The Streamlit app provides data analysis capabilities for historical data. Real-time data integration can be achieved by connecting the app to real-time data sources or APIs.

Q: Can I access the Streamlit app on mobile devices? A: At present, the Streamlit app is primarily designed for desktop or laptop use. However, it can be accessed on mobile devices with a responsive design, allowing users to explore the charts and graphs on the go.

Q: Is the Streamlit app suitable for beginners or individuals without a technical background? A: Absolutely! The Streamlit app is designed to facilitate data analysis and visualization for users of all skill levels. Its intuitive interface and user-friendly features make it accessible to beginners and professionals alike. Don't shy away from unlocking the power of data analysis with the Streamlit app.

Q: Are there any limitations or system requirements for using the Streamlit app? A: The Streamlit app is a lightweight and versatile tool that has minimal system requirements. It can run on a wide range of devices and operating systems. Simply ensure that you have Python and the necessary dependencies installed to leverage the full potential of the app.