Make better trading decisions based on data
Stock recommendations
View stock recommendations based on leading stock tech indicators such as moving averages, bollinger bands, MA cross overs and more
Fundamental data analysis
Review a stocks latest news and fundamental data using a collected selection of key links that make analysis quick
Buy / sell notifications
Add stocks to watch lists and be notified when it’s time to buy or sell a stock based on the data
Frequently Asked Questions
Why choose Dataslug.com?
Can I cancel my subscription?
Subscriptions cancelled using the cancelling page here to cancel your subscription. You’ll still have access to your premium plan until the end of your subscription cycle. If you would like your account completed deleted, please Contact Us and we will remove immediately.
Where do you get your data?
What is your privacy policy?
If results related to you or your website have been included in our results and you would like them to be removed, please let us know and we will remove this information once you have sent an email from the domain concerned or provided ID proof or proof of ownership of website. More details of our privacy policy can be accessed here
How does the credit system work?
Each Dataslug.com subscription is assigned a certain number of credits.
The credit system is as follows:
Each new search term: 4 credits charged if results are returned
Each new page of results 1 credit charged
Export of results: 10 credits for every 1000 results (or part thereof) exported
Note: with the Starter Plan, a maximum of 4000 results for each search can be exported to CSV.
E.g A new search query returns 2 pages of results, both of which have been visited by the user
Credits used = 4 (new search term) + 1 (1st page of results) + 1 (2nd page of results) = 6 credits used
If the exact same search is done within the current billing period (excluding an export), the same search will not be charged any credits
Get In Touch
If we didn’t answer all of your questions, feel free to drop us a line anytime.