In the fast-paced world of financial markets, staying ahead is crucial. Trality, the automated trading platform, steps in to empower traders of all levels. With cutting-edge technology and a user-friendly interface, Trality enhances retail investing to the next level by making automated and algorithmic trading simple.
Trality offers a comprehensive suite of tools and features. Its intuitive drag-and-drop interface enables to build, backtest, review performance, optimize and most importantly deploy algorithmic trading bots without coding knowledge. This democratizes automated trading, making it accessible to professionals and newcomers.
Trality's strength lies in its robust algorithmic trading infrastructure. Traders leverage indicators, technical analysis tools, and market data to develop, review and fine-tune strategies. The platform supports Python for coding, customization and optimization of trading bots.
However, the standout feature of Trality lies in its Bot Marketplace. This vibrant ecosystem allows traders to discover, share, review and rent out their trading bots, indicators, and strategies to other users. The marketplace fosters collaboration and learning, creating a thriving community of like-minded traders. Whether you're a beginner seeking proven strategies or an experienced trader looking to monetize your expertise, the Bot Marketplace offers endless possibilities.
Risk management is paramount, and Trality addresses it. Advanced features include stop-loss and take-profit orders, position sizing rules, mitigating risks, and simulation environment for testing strategies and performance review based on historical data.
Trality is one of not many platforms at the forefront of the automated investing solutions. With powerful trading tools, latest advances in AI and a supportive community, it empowers traders and investors to realize their full potential. Join Trality today and unlock a new world of possibilities in automated trading.
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Based on our record, ScanTailor should be more popular than Trality. It has been mentiond 9 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Get started automating your strategy and benefitting from the advantages of emotionless trading right now. - Source: dev.to / almost 3 years ago
Trality is a Viennese Fintech startup with the vision to close the gap between professional and private trading. Their platform going by the same name is for anyone who wants to develop and trade with automated trading bots. With just a few clicks on their mobile phones, users have access to a marketplace and the possibility to invest in trading bots developed on the platform. - Source: dev.to / about 3 years ago
There's also https://scantailor.org/ (and a maintained fork at https://github.com/4lex4/scantailor-advanced ) which semi-automates unwarping and other corrective tasks in scanned books. - Source: Hacker News / about 1 year ago
Scantailor (https://scantailor.org) is the tool for self-scanned books that exist in images (png, jpg, etc). However, I usually use Irfanview with PDF plugin (https://irfanview.com - download both Irfanview and the Plugins from this home page) I have elsewhere in r/PDF shown how you can do batch splitting of two-page scans, clean up muddy pages (yellowed or browned) . In the Reddit search box, search for... Source: over 1 year ago
Scantailor https://scantailor.org/ might be useful. Source: over 1 year ago
Scantailor is a good open source option that has a lot of features centered towards this process. Source: over 1 year ago
I use OCRmyPDF on a regular basis to OCR journal articles my library sends me. I've found it works great on English but (with appropriate language packs installed) works poorly on Greek and Hebrew. It also makes no effort to understand the layout of pages (e.g., tables). The project is fantastic, though. I've often considered building a web frontend that cleans up PDFs and then OCRs them using OCRmyPDF. For... - Source: Hacker News / almost 2 years ago
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