Flutter Web App for Options Trading Analysis
Budget: $30 – $250 USD
I'm looking for a seasoned Flutter developer to create a comprehensive options trading analysis tool. This tool is explicitly designed for experienced traders. Please, check attached image for similar expected outcome.
1. Overview of the UI Design:
The UI includes elements such as current prices, expiration dates, option strikes, and the payoff graph that visualizes potential outcomes based on the chosen option strategy. The design is dynamic, providing real-time updates on prices and volatility.
2. Widget Structure for Flutter:
- Expiration Date Selector: A horizontal bar with selectable expiration dates.
- Strike Price Selection (Horizontal Strike Selector): A horizontal scrolling section for strike prices, allowing users to select different strike levels.
- Option Data (Net Credit, Max Loss, Max Profit, etc.): A vertical arrangement that contains different data points like Net Credit, Max Loss, Max Profit, and Chance of Profit.
- Payoff Diagram (Graph of Strategy): The payoff diagram at the bottom is the most complex part of the UI. A custom widget or a third-party charting package like fl_chart can be used to draw the options strategy graph. But, it has to be visually appealing. For more flexibility and control, CustomPaint could be utilized to implement the payoff diagram with the appropriate curves.
- Slider (Range Adjustment): At the bottom, there is a range slider allowing the user to adjust the expected price range.
- Volatility and Date Control Section: To display controls for implied volatility and expiration.
3. Data Ingestion Using CSV:
CSV Data Parsing: Data such as option prices, expiration dates, and strikes will be ingested via CSV files from CBOE Datashop. Flutter has packages like csv or dart:convert to handle CSV parsing. You will read and map the CSV data into models representing each option’s information.
State Management: Since the data will dynamically change based on user interaction, you can use a state management solution Riverpod to manage the data flow between the CSV ingestion and the UI.
4. Financial Concepts (Black-Scholes Model):
To make the strategy builder functional, you will need to implement financial models, such as the Black-Scholes model. Here's how it would fit in:
- Model Class for Black-Scholes: Implement a Dart class that calculates options pricing based on the Black-Scholes formula. This class would be used to generate option prices, implied volatility, Greeks (like Delta, Gamma, etc.), and visualizations in the strategy builder.
- Real-Time Calculation: When the user adjusts the strike price, expiration, or implied volatility, this model would need to recalculate the option values and update the payoff diagram accordingly.
Ideal Skills:
- Extensive experience with Flutter and Web development.
- Previous work on trading apps will be an added advantage.
- A deep understanding of options trading is crucial.
- Experience with API integrations, specifically with Interactive Brokers, would be beneficial.
The goal is to create a robust, user-friendly app that meets the needs of seasoned traders. Please only apply if you meet these qualifications.
1. Overview of the UI Design:
The UI includes elements such as current prices, expiration dates, option strikes, and the payoff graph that visualizes potential outcomes based on the chosen option strategy. The design is dynamic, providing real-time updates on prices and volatility.
2. Widget Structure for Flutter:
- Expiration Date Selector: A horizontal bar with selectable expiration dates.
- Strike Price Selection (Horizontal Strike Selector): A horizontal scrolling section for strike prices, allowing users to select different strike levels.
- Option Data (Net Credit, Max Loss, Max Profit, etc.): A vertical arrangement that contains different data points like Net Credit, Max Loss, Max Profit, and Chance of Profit.
- Payoff Diagram (Graph of Strategy): The payoff diagram at the bottom is the most complex part of the UI. A custom widget or a third-party charting package like fl_chart can be used to draw the options strategy graph. But, it has to be visually appealing. For more flexibility and control, CustomPaint could be utilized to implement the payoff diagram with the appropriate curves.
- Slider (Range Adjustment): At the bottom, there is a range slider allowing the user to adjust the expected price range.
- Volatility and Date Control Section: To display controls for implied volatility and expiration.
3. Data Ingestion Using CSV:
CSV Data Parsing: Data such as option prices, expiration dates, and strikes will be ingested via CSV files from CBOE Datashop. Flutter has packages like csv or dart:convert to handle CSV parsing. You will read and map the CSV data into models representing each option’s information.
State Management: Since the data will dynamically change based on user interaction, you can use a state management solution Riverpod to manage the data flow between the CSV ingestion and the UI.
4. Financial Concepts (Black-Scholes Model):
To make the strategy builder functional, you will need to implement financial models, such as the Black-Scholes model. Here's how it would fit in:
- Model Class for Black-Scholes: Implement a Dart class that calculates options pricing based on the Black-Scholes formula. This class would be used to generate option prices, implied volatility, Greeks (like Delta, Gamma, etc.), and visualizations in the strategy builder.
- Real-Time Calculation: When the user adjusts the strike price, expiration, or implied volatility, this model would need to recalculate the option values and update the payoff diagram accordingly.
Ideal Skills:
- Extensive experience with Flutter and Web development.
- Previous work on trading apps will be an added advantage.
- A deep understanding of options trading is crucial.
- Experience with API integrations, specifically with Interactive Brokers, would be beneficial.
The goal is to create a robust, user-friendly app that meets the needs of seasoned traders. Please only apply if you meet these qualifications.