QuantShare is an advanced trading software that offers a unique charting experience, several backtesting features and can handle multiple databases. It includes a lot of plug-ins, like the downloader, the composite, the watch-list, the neural network prediction tool...
This trading software supports US and international markets and can be used by stock, forex, options, futures... traders.
We have built a flexible trading software whose possibilities are only limited by your imagination. But because we wanted to provide something unique, we have created a sharing server where you can exchange items or objects with other traders in order to feed your imagination, bring you new ideas, give you the opportunity to use advanced traders tools, and help you improve your trading skills.
Benefits:
- Advanced charting with a bunch of features, full array of line drawing tools, +150 technical indicators...
- QuantShare is a trading software with unlimited possibilities in designing and backtesting trading systems. The True Portfolio Backtester is one of the more advanced and fastest in the market
- Create advanced watch-lists that auto-update when the trading software detects new quotes
- While, most trading softwares offer a database that can store quotes data. This software allows you to create any number of historical and intraday databases. You can store any data in these databases (Call-Put ratios, News, Dividend & Split data, Short Selling data, Fundamental data, Insiders data...) , and use this data in charting, analysis, backtesting…
- You can download scripts, trading indicators, trading systems... from the sharing server
- Artificial intelligence optimization of trading systems, list of rules, ranking systems and neural network prediction items
- Use .Net scripts to automate everything and implement more advanced tools. Download scripts other traders have shared
- Increase your trading knowledge with the help of our community of traders, become an expert.
- Build trading systems using rules, ranking systems, composites, neural network models, money management techniques, and optimize the whole thing using GA or PBIL algorithms
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