Stock Trading AI: SharePreds

Review by eFreeware

SharePreds is a finance app from Loheden AI Solutions AB, and it sits in a category that is crowded with noise. What separates it, at least in how it is built, is a narrow focus: it generates daily machine-learning forecasts for US-listed stocks and pairs those forecasts with simulated portfolios you can watch over time. It is free to download, has no ads, and offers in-app purchases for parts of its analysis toolkit.

The reason to consider it is not that it tells you what to buy. It is that it gives you a structured way to see how a model's predictions behave day to day, without risking money to find out. If you already trade US stocks or ETFs and want another layer of evidence before you act, that is the appeal. This app suits investors who want daily stock forecasts and technical analysis rather than a place to place trades.

It has been on Google Play since June 2022 and has built a modest following, with more than 50,000 installs and a 4.4 average from 759 ratings. Those numbers suggest a small but engaged audience rather than a mass-market product, which fits the tool's serious, data-first tone.

How the daily prediction engine works

The core of SharePreds is a machine-learning model that produces a fresh forecast each day for thousands of stocks across American markets, including NASDAQ and NYSE listings. For each stock, the app shows the probability of a price increase, framed as a short-term outlook rather than a long-range price target. The developer describes this as actionable intelligence rather than raw data, and the framing matters: you are meant to treat the probability as one input among several, not as a signal to follow blindly.

Alongside the daily number, you can look back at how the predictions have trended over the past week. That historical view is arguably the more useful half of the feature. A single probability tells you very little about whether the model is stable or erratic; seeing a week of forecasts for the same ticker gives you a sense of whether the signal is holding or shifting. For anyone building swing trading strategies around short-term moves, that context is where the app earns its keep.

Signals each day flag stocks that may be trending up or down. The developer pitches these as a way to detect trend reversals early, though any reversal call is inherently a judgment about timing. I would treat the signals as a starting point for your own research, not as a standalone trigger.

Simulated portfolios you can follow

Two simulated portfolios sit at the center of the app's transparency story. The first is a general portfolio built from the model's own top-rated signals. It logs profits and losses on its own, using stop-loss and sell targets set by the algorithm. Because the rules are set in advance, you can watch a disciplined strategy play out from entry to exit rather than seeing a highlight reel of winners.

The second simulation focuses on penny stocks, a separate and more volatile corner of the market. A small-cap portfolio is built and followed to show how the models perform there. Penny stocks are notoriously difficult to model, so this is the simulation I would watch most closely; it is also the one most likely to reveal the limits of the approach.

Both portfolios are simulations, not recommendations, and the app does not claim otherwise. Their value is educational: they show you what happens when a set of rules is applied consistently, including the losing trades. That is a more honest presentation than a curated track record, and it gives you something concrete to compare against your own process.

Market Barometer and the wider picture

The Market Barometer is the app's macro layer. Each day it also forecasts the wider market, covering large caps and penny stocks. The idea is to give you context before you commit to a position: if the model's read on the wider market is negative, a bullish single-stock signal deserves more scrutiny.

This is the feature that turns SharePreds from a stock screener into something closer to a market dashboard. It will not tell you why sentiment is shifting, and it does not replace reading the news or understanding a company's fundamentals. What it does is give you a consistent, model-driven read on conditions, which is a reasonable thing to check before you size a position.

The developer also mentions forex and futures in the app's broader scope, though the prediction coverage described is centered on US equities and ETFs. If your trading is concentrated in American markets, the Barometer and the stock signals will line up with how you work.

Charts, indicators and your own watchlist

Beyond the signals, SharePreds includes a suite of analysis tools: advanced charts and a variety of technical indicators. The app pairs its signals with technical analysis tools, and the charting shows how far that goes. If you already rely on a dedicated charting platform, you may find this supplementary; if you want signals and charts in one place, it saves you switching between apps.

You can also build and track a custom watchlist. This is the feature that makes the app feel personal rather than generic, because your watchlist reflects your own interests and the app updates it for you.

There is also a back-tested trend trading method with daily buy, hold, and sell signals, and you can follow the performance of the Trend Trading Portfolio inside the app. Back-tests describe how a method would have behaved on past data, not how it will behave next month, so treat the results as a study aid rather than a forecast.

What it asks of you

The app is free to download and shows no ads, which is unusual for a finance tool of this scope. Some analysis tools sit behind in-app purchases. What is clear is that some parts of the toolkit are paid.

The bigger requirement is your own engagement. SharePreds is built for people who will check it daily, look at a week of prediction history, and think about what the signals mean. If you open it once, glance at a probability, and act on it, you are using the app badly and the model's output will not help you. The app rewards a routine.

You also need to be comfortable with US markets specifically. The prediction coverage, the watchlist, and the Barometer are all oriented toward American stocks and ETFs. If your portfolio is mostly international, the app's usefulness narrows considerably.

Getting the most from the signals

SharePreds works best as a filtering layer for narrowing down candidates. Start with the daily bullish and bearish signals to build a shortlist, then check the past week of predictions for each name to see whether the model has been consistent. A stock that shows a high probability of an increase today but has been drifting downward in the model's own history is a different proposition from one where the signal has been steady.

From there, the Market Barometer gives you the backdrop. If the broader market forecast is weak, you can adjust how much weight you give to an individual bullish call. This is not a mechanical system, and the app does not present it as one, but it is a sensible sequence: screen, verify, contextualize.

Finally, use the simulated portfolios as a benchmark for your own discipline. Watching how the app's stop-loss and sell rules play out over weeks is a reminder that exits matter as much as entries. If your own results diverge sharply from the simulation, that gap is worth investigating before you change your strategy.

A measured tool for US stock traders

SharePreds is a well-defined app with a clear purpose: daily machine-learning forecasts for US stocks, supported by simulations, a market barometer, and technical analysis tools. It is free, ad-free, and has a respectable 4.4 rating from 759 reviewers, which suggests it delivers on its core promise for the people who use it regularly.

It is best suited to traders who already have a process and want an additional, model-driven input, particularly those focused on short-term moves in American equities and ETFs. It is less suited to anyone hoping for a ready-made buy list, or to investors whose holdings sit outside US markets. The in-app purchases are worth checking before you commit to the premium analysis features.

If you treat SharePreds as a research companion rather than an oracle, it has a lot to offer for the price of a download. The simulations and the prediction history are the parts I would lean on most, because they show the model's behavior over time rather than a single day's output.

What's new in version 2.2.56

SharePreds is updated to ensure better performance and long term maintenance. All internal software packages are updated to latest versions. Get access to daily updated stock predictions and market barometer, analyse stocks and ETFs from American stock markets including NASDAQ and NYSE, and follow our algorithmically managed portfolio simulations. And this release comes with user interface improvements as well!