Introducing My Free Net Dashboard for Portfolio Algotraders
Six months in the past my prop-firm P&L appeared like a roller-coaster.
I had 10–20 dwell algo-strategies firing orders across the clock, but each month I used to be nonetheless elbow-deep in Excel—pivot-tabling, copy-pasting, muttering at damaged formulation. It labored, but it surely by no means felt… modern.
So I scratched the itch and constructed the instrument I’d been wishing for: a web-based efficiency dashboard that ingests MetaTrader CSVs and turns them into real-time, slice-and-diceable stats.
At this time it’s dwell, it’s free, and I’m genuinely excited to share it with you.
Why one other efficiency tracker?
Most industrial commerce journals offer you shiny charts—however ignore half the information MetaTrader spits out. As a portfolio dealer I have to:
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filter each technique by magic quantity or remark
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see, at a look, which bots are paying hire and that are burning fairness
That’s precisely what this dashboard does and no month-to-month price, no vendor lock-in.
Some Functionalities
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Statistics on many trader-loved metrics
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Filters
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Image
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Magic quantity
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Feedback
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Customized intervals
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Charting
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By column $ outcomes per day, week or month, or take a look on the operating totals
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Variety of trades per image or flip to revenue/loss per image, technique or remark.
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Interactive commerce record — each commerce is seen within the desk and its linked to all filters, so you possibly can evaluation specific trades intimately.
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Customized color schemes & movable widgets — save your favorite structure color with a single click on en transfer the widgets round and save.
Tips on how to begin?
- Go to MT5Metrics.com
- Obtain the CSV exporter & pdf guide
- Export your MetaTrader historical past file (see guide directions 🙂
- Add the file within the dashboard (stays in cache reminiscence).
- Evaluation your stats each week, month, or everytime you like.
Tip: Wish to have a glimpse first on the dashboard: simply click on pattern information to get a cling of the dashboard with mock information (see: beneath the .csv information import window).
