Flowshi vs PolyEdge
Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.
Flowshi
This app analyzes prediction markets to identify statistically unusual trading activity, highlighting meaningful signals like large trades and momentum shifts. It offers real-time alerts and customizable feeds for various market types, providing clarity without noise.
- Real-time whale and cluster alerts
- Unusual Score rankings
- Momentum, pressure, and liquidity indicators
- Market filtering by category
- Custom alert thresholds
- Signal clarity for prediction markets
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Flowshi delivers real-time insights into prediction markets by detecting statistically unusual trading activity. Instead of raw trade spam, Prediction Flow highlights meaningful signals — large trades, coordinated activity, momentum shifts, and liquidity pressure — across crypto, sports, political, and economic markets. Key Features: • Real-time whale and cluster alerts • Unusual Score rankings for high-signal markets • Momentum, pressure, and liquidity indicators • Market filtering by category and time window • Custom alert thresholds and feed controls Flowshi Pro unlocks: • Unusual Score rankings and advanced signals • Momentum & pressure breakdowns • Liquidity impact visualization • Whale & cluster detection • Smart notifications and custom thresholds Flowshi is designed for users who want signal clarity, not noise. This app does not provide financial advice and is for informational purposes only. Payment will be charged to your Apple ID account at confirmation of purchase. Subscription automatically renews unless canceled at least 24 hours before the end of the current period. You can manage or cancel your subscription in your Apple ID account settings. Terms of Use (EULA): https://aback-carp-fc7.notion.site/Terms-of-Service-2e0b0d3e7bb980f79a56f31d659ec6b9 Privacy Policy: https://aback-carp-fc7.notion.site/Privacy-Policy-2e0b0d3e7bb980b19118fb0d4bc90d81
PolyEdge
This app uses a proprietary algorithm to scan prediction markets for mispriced opportunities with high profit potential. It identifies various types of market inefficiencies, providing users with expected profit, edge amount, and confidence scores. Pro features offer enhanced refresh rates and unlimited signal access.
- Proprietary algorithm for edge detection
- Identifies mispriced market opportunities
- Analyzes convergence, momentum, liquidity, and news lag
- Provides expected profit and confidence scores
- Watchlist for market tracking
- Mini price charts and historical data
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PolyEdge is a quantitative edge detection app for Polymarket prediction markets. Our proprietary algorithm scans 200+ markets to identify mispriced opportunities with high profit potential. How It Works Our algorithm analyzes prediction markets to find where the current price doesn't reflect the true probability. When we detect a mispricing, that's your edge—the potential profit if the market corrects. Edge Types We Detect • Convergence - Markets near resolution at extreme probabilities tend to stay there. ~93% historical accuracy. • Momentum Breakout - Strong directional moves with volume confirmation often continue. ~76% accuracy. • Liquidity Gap - Under-traded markets with strong conviction often have larger mispricings. ~82% accuracy. • News Lag - Markets that moved big recently may still be under-reacting to new information. ~74% accuracy. What You Get • Expected Profit - Potential return if the prediction is correct • Edge Amount - The mispricing between fair value and current price • Confidence Score - How many factors align for this signal • Historical Accuracy - Track record for each signal type • Mini price charts showing recent market movement Pro Features • Auto-refresh every 2 minutes • Background refresh when returning to app • New signal alerts when opportunities appear • Unlimited signals (free users see top 3) • Full access to all detected edges Watchlist Save markets you want to track and monitor their progress over time. Market Details Tap any signal to view full price history, detailed stats, and analysis. Built for traders who want a data-driven approach to prediction markets. No opinions, just quantitative edge detection. Privacy Policy: https://github.com/viki-m13/polyedge Terms of Use (EULA): https://www.apple.com/legal/internet-services/itunes/dev/stdeula/ DISCLAIMER: For informational purposes only. Not financial advice. Past performance does not guarantee future results. Prediction markets involve risk of loss. Always do your own research.
Screenshots
Verdict
Flowshi and PolyEdge are too close to call on the numbers: across 8 compared parameters — price, rating, ratings volume and ads among them — neither pulls far enough ahead to decide it. What separates them is feature set and interface, not measurable difference.
Scored on Price · Rating · Positive reviews · Number of ratings · Update frequency · Ads · In-app purchases · Monetization · Best chart rank · Devices · Requires iOS
Both are free to download. Flowshi sells 1 in-app purchase, starting at $4.99 per month and PolyEdge sells 2 in-app purchases, starting at $6.99 per month. Whichever you choose, the download price is not the number that matters.
On the App Store both sit at effectively the same score — 5.0 for Flowshi against 5.0 for PolyEdge. Both are backed by a comparable volume of ratings — 1 and 2 respectively.
| Parameter | Flowshi | PolyEdge |
|---|---|---|
| Price | Free | Free |
| Rating | 5.0 (1 ratings) | 5.0 (2 ratings) |
| Number of ratings | 1 | 2 — better |
| Update frequency | Every 6 days | — |
| Ads | No | No |
| In-app purchases | Yes | Yes |
| Monetization | Freemium | Free with in-app purchases |
| Devices | iPhone, iPod | iPhone, iPod |
| Requires iOS | 15.1 | 15.1 |
| Further details — not scored | ||
| Size | 59 MB | 45 MB |
| Age rating | 4+ | 17+ |
| Developer | ZECHARIAH WAYNE HIPP | PEEK REAL ESTATE LLC |
Customer experience
Flowshi
PolyEdge
In-app purchases
Flowshi
- Whale Watch Premium$4.991 Month
PolyEdge
- PolyEdge: Pro Monthly$6.991 Month
- PolyEdge: Pro Yearly$49.991 Year








