Optactic simplify complex options strategies through interactive visual chart. It can help traders plan strategies, exit plans, visualize risks and rewards and simulate strategies across time and volatility, before placing a single trade. Once strategies are created, traders can track their progress and test different exit plans. Optactic also includes powerful recommendation and ranking system to help traders choose the right strategy under various scenarios.
- Visualize option strategies. Traders can see how different strategies perform over time and under different volatility scenarios.
- Design and visualize exit plans, allowing traders to plan ahead and minimize their losses.
- Optactic comes with an advisor that recommends strategies to maximize profit.
- Over 40 prebuilt option strategies to choose from, or build your own custom strategy.
- Rankings of the most successful strategies and in-depth analysis of each strategy's performance.
- Margin and greeks estimation
- The app is easy to use, with an intuitive interface that makes it simple to build and manage option strategies.
- The app is fully functional offline, making it easy to access trading strategies from anywhere, at any time.
DIY data provider server:
The app offers hooks to your own market data server. It uses simple RESTful API protocols. Full description is in the app.
In summary, Optactic is a powerful mobile app that provides traders with the tools they need to manage their option strategies. With its comprehensive features, easy-to-use interface, and offline functionality, Optactic is the perfect app for traders looking to maximize their profits and minimize their risks.
We take accuracy very seriously. The app is an invaluable tool for our in-house trading, and it is rigorously tested to ensure that all calculations are accurate and reliable.
Optactic uses the Black-Scholes pricing model for all option price calculations, ensuring that all pricing estimates are as accurate as possible. In addition, the probability of stock prices is based on the log-normal distribution, which is a widely accepted model for stock price movements.