Crypto Trading Predictions
57
Quality Score
Solid
Crypto Trading Predictions
Medium confidence
✍️ bumetric analysis
“
Crypto Trading Predictions is an iOS app from Dejan Atanasov in the Finance category, currently rated 4.5★ across 311 ratings. Initial signal reads as largely positive sentiment, users highlighting consistency and feature depth.
Quality Score is 57: Solid (established niche player). For a Finance app, that means established niche player. The full BU Investment Matrix below scores 8 dimensions including monetisation, growth, and operational risk.
Track changes month-over-month in the Performance section below: live snapshot history and revenue forecast included.
💰 Monthly revenue · now vs forecast
● Right now
$5.0K
per month
→
12-mo forecast
$5.2K – $10.8K
per month
→
24-mo forecast
$6.4K – $19.2K
per month
MID tier
💡 Grow this revenue
Free AI audit of this app’s store listing
- Title & subtitle keyword fit
- Description hook & conversion structure
- Screenshots, ratings, reviews strategy
Typical impact: +2-5× organic installs
📊 Performance Tracking LIVE
Loading…
Rating
—
Reviews
—
Forecast Revenue / mo
—
Snapshots tracked
0
since first record
ONE-TIME · BUILD
💰 Estimated build cost
$80K
↳ What it cost to build · not monthly revenue
Likely range $60K – $110K
$25K · MVP floor
$100K · indie scale
$500K+ · studio build
📈
Slow ROI — current MRR is well below build cost
Synthetic estimate. Inputs: category complexity, file size, screen count, monetization layer, platform reach, age × team-size proxy. Calibrated against 2024-2026 indie-agency rate surveys. Full math + source list on /methodology.
Where the money goes
| 🧱 MVP baseline (design + 1-store ship) | +$28K |
| 📱 5 unique screens × $4.5K | +$22K |
| ⚙ Finance complexity ×1.60 | +$30K |
Total estimate
$80K
👥 Estimated audience size
18K
Lifetime downloads (US-equivalent)
Monthly active
5.1K
Daily active
2.0K
Synthetic estimate from ratings × category benchmarks. Calibrated against 2024-2026 mobile-attribution retention + DAU/MAU reports. Numbers are US-storefront-equivalent — true global audience can be 5-10× larger for international apps. Full math + source list on /methodology.
How we sized it
| 📲 Finance engagement | ~60 installs / rating |
| 🔁 Finance D30 retention | 28% |
| 📍 DAU / MAU stickiness | 0.40 |
DAU / MAU
39% sticky
🔬
How we forecast this revenue
MEDIUM CONFIDENCEBaseline
$5.0K/mo · ML-estimated from 234 triggers
Growth rate
+4.0% MoM · MID tier baseline (compound monthly)
6 months
$4.7K – $7.9K
12 months
$5.2K – $10.8K
24 months
$6.4K – $19.2K
Compound growth at +4.0% MoM (tier baseline for MID). Range widens with horizon — typical noise band ±25% at 6mo.. Ranges widen with horizon — distant futures carry more uncertainty.
📊
BU Investment Matrix
Below median · 43/100MID TIERunderperforming peersGrowth Velocity
5.0
Founder Strength
3.3
Product Quality
6.2
Revenue Strength
3.7
Monetization Maturity
1.0
Defensibility
3.3
Market Position
2.0
Operational Safety
10.0
- 💰 Revenue: Modest — $3K - $7K/mo · MID tier · medium confidence, trajectory unclear.
- ⭐ Quality: 4.46★ across 311 reviews — solid.
- 📍 Market: Not yet charting in any of the 9 monitored markets.
- 📈 Growth: Insufficient signal to assess trajectory.
- ⚠️ Risk: Low — no material risk signals detected.
🎯 For competitors: Mixed picture. Worth competing if you have a clear UX or pricing edge — otherwise crowded segment.
💵 For acquirers: Estimated asking range 18-32× monthly = $90K-$160K.
Composite of 8 dimensions computed deterministically from public signals — no LLM, every score traces back to a measurable input. Default weights shown; "compete" / "acquire" / "invest" lenses re-weight without re-fetching.
Range:
💰 Forecast Revenue / mo
MODELRevenue forecast computed from BU's 234 trigger model on each snapshot. Calibrated against ground-truth from 58 verified-revenue apps.
🔬Forecast Breakdown — Why This Estimate?Top 5 of 5 triggers
Our ML model uses 200+ signals from public data. These are the most influential for this app:
| Paid app ($0.00)METRIC | +$2,800 | |
| Multilingual (10 languages)METRIC | +$1,500 | |
| Good rating (4.5★)METRIC | +$800 | |
| Established app (5y old)METRIC | +$800 | |
| Early-stage install base (311 ratings)METRIC | +$400 |
METRIC = structural app data · REVIEW = mined from user reviews · ✓ VERIFIED = Stripe-verified anchor (TrustMRR)
📈 Reviews Growth
LIVECumulative review count from first BU snapshot. Each point = a tracked update.
⭐ Rating Trend
LIVEAverage rating evolution. Updates with each new review batch.
🆕 What's New · v1.4.8
Bug fixes and performance improvements.
Profile & Insights
Everything we know — and don't — about this app and its company.
Identification
- App name
- Crypto Trading Predictions
- Developer
- Dejan Atanasov
- Bundle ID
- com.crypto.predictor
- App Store URL
- Open in App Store
- Category
- Finance
- Content rating
- 17+
- Languages
- NL, EN, FR, DE, IT, PL, PT, RU, ES, UK
Company
- Website
- Not found
- Tagline
- Crypto Predictor: AI-Powered Market Forecasts
- Description
- Stay ahead in the crypto market with AI-driven predictions and insights. We provide accurate forecasts, price trends, and analysis to help you make informed trading decisions with confidence.
- Founded
- Not found
- HQ / Address
- Not found
- Employees
- Not found
- Logo
- Available
Revenue
- Verified revenue / mo
- Not found
- AI revenue estimate / mo
- Not found
- AI annual estimate
- Not found
- ML model estimate / mo
- $201/mo
- Top-grossing rank
- Outside top 100 in US Finance
- All-time revenue
- Not found
- Pricing
- Not found
Founder
Founder data not yet collected for this app.
Funding
Funding data not yet collected for this app.
Press & Links
Press & Links data not yet collected for this app.
Contacts & Socials
Contacts & Socials data not yet collected for this app.
📈Ratings growth311 ratings+31000% lifetimeShow 3-year history estimate ▾
Tracked (18 weeks) Pre-tracking estimate (36 weeks) · model-based, ±5% noise · anchored to release date and current value
🌍Geographic ReachNot ranked
This app is currently outside the top 100 grossing in all 9 countries we monitor (US, UK, DE, FR, JP, CA, AU, BR, IN). Niche or new apps often launch this way — popularity rankings appear once daily revenue clears the regional threshold.
Profile is built from iTunes Lookup + developer site scrape + ML revenue model. Empty fields show "Not found" — additional sources (Crunchbase, X, IndieHackers, Acquire.com) coming.
📝 About this app
What if you could see where crypto prices might be heading next? Explore data-driven insights designed to help you plan ahead, react faster, and make more confident decisions in a constantly changing market. Instead of relying on guesswork, get a clearer perspective on potential price movements and trends across major digital assets.
Explore long-term price scenarios with forecasts extending up to 10+ years. Each year includes mid-year and end-of-year estimates, along with projected growth from today’s price, helping you better understand long-term potential.… View full description on the official store →
Explore long-term price scenarios with forecasts extending up to 10+ years. Each year includes mid-year and end-of-year estimates, along with projected growth from today’s price, helping you better understand long-term potential.… View full description on the official store →
App Specs
🔐 Own this app? Claim & verify MRR →💾 38 MB🔞 17+📱 iOS 16.0+🔖 v1.4.8🔄 updated 0d ago🌐 NL, EN, FR, DE, IT +5📂 Finance💰 Paid
📅
What Worked™ · Development Pipeline
8 EVENTS TRACKEDDetected changes in this app over its tracked lifetime — each event links cause (what changed) to effect (what moved). Sorted newest first.See full history →Version history →
2026-03
⭐
Rating ↑ 3.08 → 4.46 (improved 1.38★)
2025-05
📈
Crossed 10 ratings — social-proof flywheel kicking in
2024-09
⭐
Rating ↑ 2.57 → 2.88 (improved 0.31★)
2023-05
⭐
Rating ↓ 3.20 → 2.83 (dropped 0.37★)
2022-03
⭐
Rating ↑ 2.75 → 3.20 (improved 0.45★)
2022-03
⭐
Rating ↑ 2.00 → 2.75 (improved 0.75★)
2022-01
⭐
Rating ↑ 1.00 → 2.00 (improved 1.00★)
2021-09
🚀
First tracked snapshot — initial data captured
🌍
Multi-Country Performance
Available in 9 of 9 monitored markets| Market | Rating | Reviews | Current version |
|---|---|---|---|
| 🇦🇺 AU | 4.45★ | 20 | 4.45★ this version |
| 🇧🇷 BR | 4.7★ | 30 | 4.7★ this version |
| 🇨🇦 CA | 4.44★ | 25 | 4.44★ this version |
| 🇩🇪 DE | 4.77273★ | 22 | 4.77273★ this version |
| 🇫🇷 FR | 4.53704★ | 54 | 4.53704★ this version |
| 🇬🇧 GB | 4.33333★ | 24 | 4.33333★ this version |
| 🇮🇳 IN | 3.78571★ | 14 | 3.78571★ this version |
| 🇯🇵 JP | 4★ | 3 | 4★ this version |
| 🇺🇸 US | 4.4455★ | 312 | 4.4455★ this version |
🔔
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📝 Description
95
BU Score · Transcendent
Full revenue analysis
Read the article-style breakdown for Crypto Trading Predictions: category rank, percentile, growth signal, comparable apps, and how the forecast is calibrated against verified-MRR anchors in this niche.
About this analysis
Why medium confidence: 311 ratings · no founder-verified revenue (model estimate only).
❓ Frequently Asked Questions
4 answers · auto-generated from this app's public dataHow much does Crypto Trading Predictions make per month?▴
Based on our ML-calibrated revenue forecast, Crypto Trading Predictions earns approximately $200/mo. This is a US-storefront-equivalent estimate; global revenue can be several times larger for internationally-distributed apps. See the methodology page for the full formula and confidence bands.
What apps are like Crypto Trading Predictions?▴
Browse the full Finance category catalog to find similar apps with revenue, build cost, audience and tech stack data. Each /p/{slug} page also shows a Compare side-by-side widget with three peer apps from the same niche.
Who makes Crypto Trading Predictions?▴
Crypto Trading Predictions is published by Dejan Atanasov on the Apple App Store. See the full publisher portfolio (other apps by the same developer) via the More by developer block on the product page above.
What is Crypto Trading Predictions's BU Score?▴
Crypto Trading Predictions has a BU Score of 57/100 (Solid). The score combines App Store rating, ratings count, monetization model and revenue signals calibrated against founder-verified MRR anchors. See the BU Score formula.