AppRecs review analysis
AppRecs rating 3.0. Trustworthiness 90 out of 100. Review manipulation risk 24 out of 100. Based on a review sample analyzed.
★★★☆☆
3.0
AppRecs Rating
Ratings breakdown
5 star
50%
4 star
0%
3 star
0%
2 star
0%
1 star
50%
What to know
✓
Low review manipulation risk
24% review manipulation risk
✓
Credible reviews
90% trustworthiness score from analyzed reviews
About Stock Position
* 8 portfolios of 40 assets each (or 1 portfolio of 5 assets if no subscription).
* quick display of asset and portfolio current values and gain/loss (many values are real time)
* use asset proxies (surrogates) to track intra-day asset values
* weekly beta calculated from any start/end dates
IMPORTANT NOTE: Although initially free, Stock Position requires an In App Purchase subscription (non-renewing) to use many features. A one month initial subscription for each device is included for free.
Screenshots below: (All with similar portfolios)
1) CAPM graph showing portfolio diversification with a beta of .96, return slightly better than the market risk with an Alpha of 2.2%.
2) asset table - portfolio total is $ down $464 in the day. A proxy (SPY) is used to value the day's change in FPURX.
3) stocks graphed cumulatively from 2013 to 2021. Rate of return 14.9%.
4) Portfolio correlation to a market factor (SPY) showing a beta of .96 since 01/01/13, a return of 15.2% which is 2.2% (alpha) better than the market risk-related return. Beta sensitivity to Start Date is displayed by moving the slider.
5) Portfolio comparison to a market factor (SPY) showing close correlation with small residuals until recently (due to FDX and TSLA).
Stock Position Screenshots
Tap to Rate:
Reviews for Stock Position
LoLaMC
Does not work at all
Knowing the developer's other apps I am sure this one was pretty amazing, unfortunately it does not seem to work anymore: when opening the app, the following error message appears "web connection fail"...
Stock Trader seeking alpha
Great for correlations
I use this app to compare the historic price of stocks and show how correlated they are (to each other and to indexes). It has great graphics.