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How much does TraderSmith earn?

Android app from William O'Neil India · Finance

ML forecast ★ 3.8 · 1K Free

~401/mo

ML revenue forecast. Calibrated against 36598 apps in this category.

Confidence band
±15%
High — many comparable apps with verified data

At a glance

What the app looks like

Live screenshots from the Play Store, captured by our snapshot worker. Tap any image to enlarge.

TraderSmith screenshot 1 TraderSmith screenshot 2 TraderSmith screenshot 3 TraderSmith screenshot 4

TraderSmith's revenue trajectory

Forecast revenue from snapshot history. Last 1 months.

Where TraderSmith sits in Finance

Revenue distribution of 36598 comparable apps. TraderSmith highlighted.

TraderSmith vs comparable apps

Revenue trajectory side-by-side. Bold = TraderSmith, ghosted = peers.

App spec

Version
1.0.89
Last update
Sep 05, 2025
Launched
Aug 02, 2018
Price
Free
Monetization
Free

What TraderSmith actually does (from store listing)

TraderSmith applies the rules of CAN SLIM Investing System, propounded by our Founder William J. O'Neil in a swing trading environment to help you take advantage of short term trends. Unlike other swing trade products, TraderSmith combines fundamental analysis with technical analysis to increase your potential for success. We go for quick hits. Most trades will last 15 — 20 days. In a strong market the profit goal is about 7% on the upside with a stop loss of around 3%. TraderSmith is …
Read full description →

Comparable Android apps

The five apps in Finance with the closest revenue to TraderSmith. Click any to see its detail page.

AppRevenueRatingRatings
TDB Online Banking icon TDB Online Banking 401 ★ 3.6 2K
Transact in Mutual Funds -goMF icon Transact in Mutual Funds -goMF 401 ★ 3.3 1K
Star One CU icon Star One CU 401 ★ 4.7 2K
CB&S Bank Mobile icon CB&S Bank Mobile 400 ★ 4.5 1K
Uniqey by JJ Tax icon Uniqey by JJ Tax 401 ★ 3.8 999
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How we calculated this

Each forecast combines App Store rating, ratings count, monetisation model, pricing tier, IAP signals and ad-supported flag. The base estimate is then multiplied by a per-category scaling factor learned from apps with founder-verified MRR. Every number on this page comes from public APIs and bumetric's own snapshot history.

Full methodology covers input variables, accuracy bands per category and how we treat apps without comparable anchors. See also the live data on TraderSmith's tracker page for current rating, reviews and snapshot timeline.

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