Hello, Bratha.
In this guide, I will walk you step by step into setting up your own QuantVAT account.
Quantitative crypto volume analysis toolkit, also known as QuantVAT, is a volume-driven crypto analysis tool developed by @heisbuba. The tool allows users to perform daily market scans (hundreds per day), cross-market (between spot and futures data) analysis, journal their trades, use an AI auditor to spot where they are lagging behind in their trading journey, and much more.
I developed this tool with a Bring Your Own Key (BYOK) philosophy because currently I cannot afford to bring together all the unified data that I want for myself and others who may find the tool cool to mess with.
Users bring their own API keys; I only provided the engine. Yes, you read it correctly: “you have to bring your fuel.”
Thankfully, all the data providers that we are using are pretty generous with their monthly credit quota.
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Without further ado, let’s dive in.
Step 1: Account Setup
Setting up your own QuantVAT account is very easy and doesn't require much going around.
First, launch the tool here. Click on Get Started, enter your email and password, then click on Create Account.
After you are done creating the account, the next step is to click on the Already Have an Account? link and log in to your account.
Step 2: API Keys Setup
You will be redirected to the Setup Wizard instead of the dashboard. Don't worry, setting it up is a necessary requirement for the tool to function.
You will need three (3) API keys from 3 different crypto market data providers, namely CoinGecko, CoinMarketCap, and LiveCoinWatch.
Here you need to click on the 'Get Key' link that sits to the right of each platform name, visit their API Dashboard, create a fresh account, obtain a free API key, come back to the wizard, and paste it in the box.
Step 3: CoinAlyze Setup
Now you will have to set up a CoinAlyze VTMR link, and what does that have to do with this?
Because in the near future you'll visit CoinAlyze via that link whenever you need fresh and sorted futures data that you will fuse to our futures engine to generate a cross-market report.
First, copy the below quoted VTMR code or get it from GitHub, you are going to need it later.
((vol_1d[0] / mc_1d[0]) * 10) / 10 * (vol_1d[0] / mc_1d[0] >= 0.5)
Then visit coinalyze.net, sign up, and log in to your account.
Navigate to Custom Metrics and click on Create Custom Metrics.
Enter VTMR in the Name and Short Name fields, paste the VTMR code (you copied previously) in the Expression field, then Save & Close.
What to do next is go to Columns, deselect all, and select Market Capitalization, Volume 24H, Open Interest Change % 24H, Predicted Funding Rate Average, OI Weighted, and VTMR, then click Apply.
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| Sorted data sample |
Sort the data by VTMR (in ascending order), copy the URL, paste it in the VTMR box in the Setup Wizard, and proceed to the dashboard.
Note: In the VTMR code that you set up in CoinAlyze, you can change the minimum volume-to-marketcap ratio from 0.5% of the entire marketcap to whatever value suits you. That 0.5 can be changed to 0.4, 0.6, 1, et cetera.
Step 4: How to Use the Tool
Let's begin with:
a). Run Spot Scan
In the dashboard, when you click on SPOT SCAN, it will run a fresh spot tokens scan and bring you the data cleaned, arranged, and sorted in an HTML file which can be found on the Reports page.
You can open, download, or delete the spot analysis HTML report file, or while viewing it, take advantage of our built-in deep diver to see more data about the token and integrated quant ratios.
You only need to tap on the ticker name of each token you want to deep dive into its details from the spot analysis file.
Noticed that we have a filters button on the dashboard? Use it to set up or reset the minimum spot and futures VTMR threshold.
b). Get Futures Data
By now, you already have your spot data ready. Next is to return to the dashboard and click on GET FUTURES → Open CoinAlyze → Go to Chrome Menu (⋮) → Share → Print, and save it as a PDF.
But make sure you log into your CoinAlyze account first for the site to recognize your VTMR sorting URL that comes from QuantVAT.
After you get hold of your futures raw data, then use the upload button in Get Futures to upload the file.
I assure you that the whole PDF data extraction and clean-up will happen right there, and after it is done, you'll be redirected back to the dashboard.
And before running further analysis, you can go to the Reports page, view or download all the extracted futures data from CoinAlyze in clean CSV format.
c). Run Advanced Analysis
By clicking on the ADVANCED button, both your spot analysis file and futures data (extracted from the CoinAlyze PDF you uploaded earlier) will be parsed and extracted, then used to create a comprehensive cross-market analysis PDF report file which can be found on the Reports page.
But here is the catch: all those futures and spot files that you created earlier will be cleaned up after the cross-market creation is finished. You will notice that in the terminal that displays the process.
The thing is you can run this process over and over again until you exhaust your API credits.
Assuming you have the time to do so.
And in Filters, you can set up new minimum VTMR thresholds for futures data too, despite the fact that CoinAlyze already handled that. But who knows whether you want to taste the waters in different ways?
Step 5: Trading Journal & AI Auditor Setup
Our semi-automated trading journal uses Google Drive as a storage where your data is stored. It is saved as journal.json in a very structured way.
To use the trading journal, you might need to connect your Google Drive, and the tool will retrieve the key to always read and write data from the journal file in your drive and store it in the database.
After that, you journal your data, see stats, et cetera. The journal dashboard comprises Normal Mode (Spot) and Memes mode. In normal mode you can journal spot trades, in memes mode you can journal memecoins trades.
But this process isn't automated, and we don't pull trading data from exchanges or onchain data platforms. And the reason is simple: if your goal is to improve your trade execution, identify your flaws, and fix them, then journaling your trade, note, emotional status, et cetera is better done manually. That way you can always download the CSV report (sorted) and run further analysis yourself.
And from the journal page, you can integrate your AI Auditor. It uses the same principle as the trading journal.
But this time around you need to obtain a free Google Gemini API key and set it up on the settings page.
The auditor has in-built memory to pick up from last conversations. And it is very blunt as hell. It is the kind of coach you need to help you stay in line and point out all your wrongdoing during trade.
I do hope that in the future, as I continue to update the tool, we can be able to add more features in the journal section. And add a trade snaps upload feature, an algorithmically powered deep analysis feature, automated trading logging from exchanges (for now), et cetera.
Conclusion
This is technically how to set up this tool. And I do honestly believe that I already spilled more beans than I should've, but I guess that's okay since we are all here for its sake.
Other features are freely available for you to explore. And as you may already know, this project is open sourced. You can view the most recent live code on HuggingFace or GitHub.
But I will publish more, especially in regards to making sense of the data for hommies using the tool.