Tag Reports Individual Tags. This report shows a list of the tags in use, along with P&L, trade counts, and total volume for each. Trades which are currently open will be included here with their current realized P&L When Tradervue first introduced tags, one of the common use cases was to use tags for separating multiple trading accounts. You could tag trades on import, and identify them with the specific account they came from. This works great; however, there are two situations that offered challenges when using this approach https://www.t3live.com/blog/rod-casilli-futures-on-fire-registration-page/ to join Rod's trading roomFutures trader Rod Casilli shows you how to use TraderVu.. Sign in to Tradervue. Username or Email Password Remember me. Forgot your password? New user? Sign up here
If you're exporting data from Tradervue in CSV format (see original blog post about this), we've made a couple of changes to the Trades View export that you'll want to know about. Removed columns: Date; Added columns: Open date/time; Close date/time; Side (e.g. L/S . It just all feels a bit rushed and shows no real user interface skills.
And of course - our top favorite - the Risk Reporting. As a beginner trader, you're likely to take unreasonable risks unless you have got the right checks and balances in place. Fortunately, TraderVue does provide you with the tools to access your risk appetite. You will only need to key-in your R amount per trade. And if you're feeling lazy, you can opt to have a standard R (risk). However, we do encourage traders to manually key-in their Rs so that they can gather meaningful. Greg at Tradervue has been very helpful in guiding me with various issues I have had. One bigger problem was separating SIM from Live trades which as Peter mentioned they have made very simple now if you use the DAS Trader platform. You can add account tags and separate your analyses of Live and SIM trades very easily This is a simple Python application that uses the Tradervue API to add industry tags to existing trades in Tradervue. Only a few symbols are mapped with industry tags, but you can easily modify the script to use any tag you need for any symbol. This script uses py-tradervue-api, a Python API wrapper developed by @nall
Tradervue ist das perfekte Tool, mit dem Du deine Trades einfach journaln und auswerten kannst. Es deckt alle US-Aktien ab, sodass es perfekt mit unserer Vorgehensweise im amerikanischen Markt harmoniert . Even something simple like buying 1000 shares might come in as buy 200, buy 400, and another buy 400. They might not even occur all at the same time - if you entered that order as a limit buy, there could be an arbitrary amount of time between the first and last execution. They also might execute on different venues images: ![text](https://www.tradervue.com/assets/tvlogo1.png) headers: use #, ##, ###, ####, or #####. For example, ### This is a header. For other options, see Markdown syntax documentation. Note that normal HTML tags are not supported in Tradervue
Use Tradervue or any other journaling tool/spreadsheet to look at the cold hard facts. TRADERVUE TAGS It was a decision filled with pros/cons, but I decided to reuse many of the tags from my prior experiences in stocks