There are numerous great and very powerful trading journals out there. However, I wanted to build a journal for traders who care about data security and privacy but also for individuals that need simplicity and flexibility.
By creating and sharing TradeNote as an open source project, I hope to help other days traders like myself store, discover and recollect trade patterns so they can become and remain consistent and profitable traders.
For support or feedback, feel free to join our Discord, or create an issue on this repository.
Join the emailing list to receive news about updates and new features.
You can see upcoming features and project development on the project page.
TradeNote is a responsive website that runs on VueJs, JS and HTML and uses Parse for its backend.
If you like this project, please 🌟 this repository and don't hesitate to show me the money love ;)
TradeNote is divided in 2 sections, each being an essential building block for becoming a consistent trading and managing your trading business.
TradeNote offers a dashboard, daily view and calendar view so you can measure your progress. You can easily filter your trades by month or date range.
With TradeNote you can keep a daily diary of your trading journey to work on your trader psychology as well as add annotated screenshots of interesting setups or your entries. You can also write your (yearly) playbook.
TradeNote supports intraday and swing trades but keep in mind that the project arose from a personal need and as such is most widely used (and tested) for intraday stock trades (using TradeZero Broker).
Depending on the broker and thanks to the contribution of the community, you can import and journal the following assets in TradeNote: Stocks, Futures, Options (only tested on single options) and Forex.
Please look at the brokers folder to see the list of supported brokers and instructions for exporting and importing to TradeNote.
You can contact me via Discord if you wish to integrate your broker.
Alternatively, you can use the template and adapt it to your export file.
On daily page you can see your trades per day. You can add tags and a note to each of you trades. Moreover, you can specify your satisfaction with the trade (for example if you followed or not your rules) with thumbs up or down.
Besides notes for every trade, you can record things related to your every day trading, like feelings, moods and emotions or more technical related issues like patterns, in order to make important discoveries.
Upload screenshots of you trades ("Entry" option) or simply an interesting setup you have identified ("Setup" option) and make annotations for further analysis.
TradeNote uses MongodDB as its database. Please make sure to follow MongoDB's recommendations and requirements before installing and running TradeNote with MongoDB.
For detailed information, please read MongdoDB's production notes .
Some users have experienced issues running MongoDB on a Raspberry Pi. At the time of writing, they managed to make it work using v4.4.8 of MongoDB rather than the latest version.
MongoDB 5.0+ version is (currently) not compatible with Ubuntu VM on windows platform. Indeed, MongoDB 5.0+ needs a CPU that supports AVX, which seems like a known issue with latest version of MongoDB 5.0+ and Windows+Ubuntu VM. A workaround is to use MongoDB 4.4.18 (last known version that does not need AVX support) in the docker compose file.
Here is the list of the other, most common issues
If you have any other issues, please visite the Discord #installation channel and use the search bar to see if your issue has already been discussed.
docker compose up -d
This will automatically setup the database (mongodDB) and the TradeNote app.
You can then access the website on http://localhost:8080.
If you cannot access the website, please refer to the importante notice above (and try changing the mongo version) or get support via Discord
You need to have a running MongoDB database. Please see their Docker Hub for instructions.
Then, run the TradeNote image with its environment variables.
docker run \
-e MONGO_URI=<mongo_uri> \
-e TRADENOTE_DATABASE=<tradenote_database>
-e APP_ID=<app_id> \
-e MASTER_KEY=<master_key> \
-e TRADENOTE_PORT=<tradenote_port> \
-p <tradenote_port>:<tradenote_port> \
--name tradenote_app \
-d eleventrading/tradenote
If you want to run the latest version of TradeNote you can also build the image locally, directly from GitHub repository.
docker compose -f docker compose-local.yml up -d
docker build -f docker/Dockerfile . -t tradenote:<tag>
npm install
APP_ID=xxx MASTER_KEY=xxx ANALYTICS_OFF="true" MONGO_USER=xxx MONGO_PASSWORD=xxx TRADENOTE_DATABASE=xxx MONGO_URL=xxx MONGO_PORT=xxx TRADENOTE_PORT=xxx NODE_ENV='dev' node index.mjs
Start by registering a user. Visit http://localhost:8080/register
to register a TradeNote user.
Please make sure to follow the instructions in the brokers folder for exporting and importing trades.
Community members have also created custom scripts to convert export files to fit the template in custom scripts.
âť—Important Noticeâť—
To avoid open positions and/or P&L Discrepancy when importing swing trades, please make sure of the following.
Example 1 (recommended)
Example 2 (advanced)
When you have an open trade you will see "Open" in the time column on the daily page and "Closed" when the swing trade has been closed. Hover your mouse over the question mark to get information when the trade was opened and closed.
P&L as well as partial close is calculated on the closing day.
The following information is just for your convienance. We encourage you to make your own research on how to update running applications.
Remember to replace < service-name> with the name of your service as defined in your docker compose.yml file.
This is a general process and may vary depending on the specifics of your application and your Docker Compose setup. Always make sure to test your changes in a safe environment before deploying them to production.
Remember to replace < image-name >, < tag >, and < container-id > with the appropriate values for your application and Docker setup.
This is a general process and may vary depending on the specifics of your application and your Docker setup. Always make sure to test your changes in a safe environment before deploying them to production.
TradeNote provides an API so that you can setup an auto import of your trades. Please note that this a very experimental feature AND unfortunately, I will not be able to provide support on how to make a POST request.
POST /api/trades
Base url: < your tradenote url >
The trades endpoint allows you to import trade executions directly to the database.
This project uses Parse as its backend framework, for the following reasons:
Additionally, if you want to view and manage the database, you can use MongoDB Compass or install and run the Parse Dashboard.
This projects uses PostHog as its product analytics suite to collect anonymous analytics about TradeNote installations and page views. This helps me better understand if and how people are using TradeNote and evaluate the outreach of my project. If you want to opt-out of this program, you can simply add -e ANALYTICS_OFF=true
when running the docker image.
During installation, mongoDB runs with persistent data. This way, if you restart or update your mongoDB container, your data will not be lost.
Additionally, you can, and should, backup your database.
For convenience, here is an example using s3cmd for backing up your database. As this is not part of the TradeNote projet, I will unfortunately not be able to provide support on this part. But you will find more information about this on google and stackoverflow.
I'm a trader and recreational developer. My days are very packed but I will do my best to answer your questions and update the code when needed. As such, do not hesitate to contact me if you would like to contribute and help improve this project. Things to work on and improve:
This project is open sourced under the GNU GPL v3 licence.