Why I built PyInvesting

When I was thinking about how I wanted to invest my money, there were 3 key factors that were important to me.

1. Strong performance with high risk adjusted returns
2. Low fees from a discount broker
3. Easy to implement and fully automated

The Web App Solution

It was an app which simply downloads financial data and runs a backtest using my investment strategy. The app then sends me an email with my portfolio's current positions and the orders that I need to trade on my personal account.

This app allowed me to backtest my investment strategies using historical data without having to risk any money in the market while doing my research. This allowed me to test hundreds of different strategies relying on both technical and fundamental analysis where I could choose the most profitable strategy that I'm most satisfied with.

The app is also extremely simple to use. Backtesting is a highly computationally intensive process where professional funds typically depend on a team of software developers to build their trading systems. I've simplified this process where you only need to fill in a form with your backtest details. PyInvesting handles the rest of the calculations and presents to you beautiful graphs with the performance analysis of your investment strategy.

Finally the app allows investors to create highly personalized investment strategies. No two investors are exactly the same. Everyone has their own preferences when it comes to investing. Unlike robo-advisors which force you to investing using their investment strategies, PyInvesting allows you to customize your own investment strategy to suit your needs.

Are you a day trader or swing trader? Check out our moving average backtest which allows you to calculate your entry and exit points before entering a trade. If you're a long term investor, check out our fundamentals backtest where we provide fundamental data such as price to earnings ratio, return on equity and profit growth.

Overview of PyInvesting

There are 4 main sections of the website.

1. The screening tool, which is used to filter stocks based on a certain criteria such as selecting the top 100 stocks with the highest market cap to form your investment universe.
2. The backtesting software, which allows you to simulate your quantitative investment strategy over the last 15 years using stocks that have passed your screen.
3. The backtest results where PyInvesting analyzes the performance of your strategy.
4. Finally, the live section, where users are able to go live with their strategy and receive a daily email update with live orders from their strategy which they can trade on their personal account.

Closing Thoughts

Like most people, I've always been attracted to the idea of being financially independent as it allows me to provide for my family without having to depend on a full time job. This provides me with financial security because there's always a risk that I may lose my job.

To achieve my financial goals as quickly as possible, it is not enough to depend solely on my active income. I need to build my passive income as well by investing in the stock market.

However poor investment decisions can cause a person to lose his entire life savings. To address this problem, I've built a backtesting software for you to easily create an investment strategy and test whether it works without risking any money in the stock market.

I hope that PyInvesting will allow you adopt a data driven approach to investing and support you in your journey towards financial freedom.