QuantSmith Downloads & RevenueQuantSmith · App Store
Not in any tracked top chart right now.
Updated 8 Nov 2026 · rankings refresh through the day
DeveloperWilliam O'neil India PVT LTD
CategoryFinance
PriceFree
Released
Rating★ 3.8 (13)
Version1.0.7
Age rating4+
First seen by us
24 Oct 2026
Full timeline · 4 events
- 📦QuantSmith updated to version 1.0.7bug fixes.
- 🆕QuantSmith first spotted by AppInsiderIndia (found via developer)
- 📦QuantSmith version 1.0.6bug fixes.
- 🆕QuantSmith released on the App Store
Collected from the stores by AppInsider since we first spotted the app. Dates are when we saw each change.
Rating
3.8 ★
13 ratings
Measured
QuantSmith on the App Store
App details
App ID
1497492118
Publisher
WILLIAM O'NEIL INDIA PRIVATE LIMITED
On the store since
Feb 2020
6 years on the store
Minimum OS
iOS 13.0+
iPhone 6s and later
Devices
iPhone · iPad
Universal purchase
Content rating
4+
Languages
1
EN
Size
15 MB
Where it ranks now
Every top chart it appears in across 30 countries.
| Country | Charts | Rank |
|---|---|---|
| Not charting right now. | ||
Ratings
App Store, worldwide.
Rating
3.8 ★
13 ratings
Measured
Ratings
13
Measured
About QuantSmith
We open the door for everyone to invest better than professional money managers.
QuantSmith creates dynamics for finding the right pattern to give you the right set of advisory. Our algorithms and robots have crunched data of over 100 years of various market cycles in all the markets across the globe, and are now equipped to help you find the most accurate ideas in the stock market.
AlgoSmith uses proven portfolio allocation tools and research methodologies for portfolio construction and combines a human selection of stocks with machine level forecasting of stock market direction. AlgoSmith uses a combination of fundamental and technical analysis to identify key stocks, decide on weightage of each stock in the portfolio and time the entry and exit price for stocks. The whole process aims to eliminate the biases of human behavior in buying or selling which invariably leads to greed or fear in decision making.
How does AlgoSmith platform work?
· AlgoSmith blends fundamental, quantitative and technical analysis with profile analysis that identifies stocks poised for outperformance.
· Our Data Scientists, Equity Analysts and Technology team build products and portfolios that help you maximize your profit
· Select the Algo best suited to your needs and seamlessly invest via trading account from leading brokers
All you need to do is give an investing mandate to AlgoSmith, and it will do the rest to help you make more money in the stock market. It truly is the future!
QuantSmith creates dynamics for finding the right pattern to give you the right set of advisory. Our algorithms and robots have crunched data of over 100 years of various market cycles in all the markets across the globe, and are now equipped to help you find the most accurate ideas in the stock market.
AlgoSmith uses proven portfolio allocation tools and research methodologies for portfolio construction and combines a human selection of stocks with machine level forecasting of stock market direction. AlgoSmith uses a combination of fundamental and technical analysis to identify key stocks, decide on weightage of each stock in the portfolio and time the entry and exit price for stocks. The whole process aims to eliminate the biases of human behavior in buying or selling which invariably leads to greed or fear in decision making.
How does AlgoSmith platform work?
· AlgoSmith blends fundamental, quantitative and technical analysis with profile analysis that identifies stocks poised for outperformance.
· Our Data Scientists, Equity Analysts and Technology team build products and portfolios that help you maximize your profit
· Select the Algo best suited to your needs and seamlessly invest via trading account from leading brokers
All you need to do is give an investing mandate to AlgoSmith, and it will do the rest to help you make more money in the stock market. It truly is the future!
Latest updates
1.0.7
bug fixes.
1.0.6
bug fixes.