Péssimo
Sai sozinho do apo e não da pra terminar
Description
Cue is an AI assisted stock research application to help stock traders make informed investment decisions. Our factor based ranking models helps users review company fundamentals while our AI models analyzes technical signals to generate a proprietary ranking and score for many US listed stocks that we cover.
Our systematic strategies leverage our model's history to curate stocks that show certain winning patterns based on statistical analytics of our own factors over the lifetime of these algorithms. Growth and Value and Momentum strategies use ML models to select stocks based on their fundamentals and technical strength.
Whether you are a short-term trader or a long-term investor you will find our rankings and stock curation valuable for your own investment journey.
Factors used in Cue's Ranking Model:
- Growth
This factor will model the potential growth in Revenue and Earnings. Past results are also considered to adjust this factor for constancy over the long term. With both the past, present and future outlook the factor does its best at ranking companies that growth vs the ones that don't
- Valuation
This factor is about answering one question: "is the stock overvalues or undervalued?" we try to do that by comparing the stock to others in the market and high Valuation score indicated that the stock has a good upside while a low score indicates an overvalued name.
- Profitability
This factor summarized the business returns, whether it is gross margins indicting positive unit economics, or operating margin indicating operational efficiency. The profitability factor is often the one that is most overlooked by retail investors.
- Strength
This factor models the financial strength for the business. Debt, Equity and Cash all play a role in determining the short-term cashflow, and in many cases long-term survival or success.
- Sentiment
This factor reviews Analyst recommendations over time to capture sentiment shifts in current and future earning outlook.
- Momentum
This factor reviews the price history over the past year to gage the momentum of the price with relation to its trend.
- Technical Trend
This factor trains on the stock's technical signals to predict the near-term direction (bullish or bearish)
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Our systematic strategies leverage our model's history to curate stocks that show certain winning patterns based on statistical analytics of our own factors over the lifetime of these algorithms. Growth and Value and Momentum strategies use ML models to select stocks based on their fundamentals and technical strength.
Whether you are a short-term trader or a long-term investor you will find our rankings and stock curation valuable for your own investment journey.
Factors used in Cue's Ranking Model:
- Growth
This factor will model the potential growth in Revenue and Earnings. Past results are also considered to adjust this factor for constancy over the long term. With both the past, present and future outlook the factor does its best at ranking companies that growth vs the ones that don't
- Valuation
This factor is about answering one question: "is the stock overvalues or undervalued?" we try to do that by comparing the stock to others in the market and high Valuation score indicated that the stock has a good upside while a low score indicates an overvalued name.
- Profitability
This factor summarized the business returns, whether it is gross margins indicting positive unit economics, or operating margin indicating operational efficiency. The profitability factor is often the one that is most overlooked by retail investors.
- Strength
This factor models the financial strength for the business. Debt, Equity and Cash all play a role in determining the short-term cashflow, and in many cases long-term survival or success.
- Sentiment
This factor reviews Analyst recommendations over time to capture sentiment shifts in current and future earning outlook.
- Momentum
This factor reviews the price history over the past year to gage the momentum of the price with relation to its trend.
- Technical Trend
This factor trains on the stock's technical signals to predict the near-term direction (bullish or bearish)
In-Apps
- Premium Weekly
- USD 4.99
- Premium Annual
- USD 49.99
- Premium Monthly
- USD 14.99
- Premium For 1 Week
- USD 4.49
- Premium For 1 Month
- USD 12.99
- Premium For 3 Months
- USD 22.49
Screenshots
Resume Maker¹ FAQ
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Is Resume Maker¹ free?
Yes, Resume Maker¹ is free to download, however it contains in-app purchases or subscription offerings.
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Is Resume Maker¹ legit?
Not enough reviews to make a reliable assessment. The app needs more user feedback.
Thanks for the vote -
How much does Resume Maker¹ cost?
Resume Maker¹ has several in-app purchases/subscriptions, the average in-app price is USD 18.32.
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What is Resume Maker¹ revenue?
To get estimated revenue of Resume Maker¹ app and other AppStore insights you can sign up to AppTail Mobile Analytics Platform.
User Rating
App is not rated in North Macedonia yet.
Ratings History
Resume Maker¹ Reviews
Tem que pagar
Não baixem!!! Vc fica um tempão fazendo o currículo daí quando termina vc não pode salvar por causa que tem que pagar.
Horrivel o app. Não percam tempo
Péssimo
Não é bom
Baixei o app , fiz o currículo todinho e depois o app fechou e não abri mais , resumindo perca de tempo
Dúvida
Muito bom gostei bastante só queria saber se a renovação é automática ?
Horrivel ,perca de tempo.
Não baixem
Store Rankings
Ranking History
App Ranking History not available yet
Category Rankings
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Chart
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Category
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Rank
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|---|---|---|
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Top Grossing
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43
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Top Free
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372
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Resume Maker¹ Competitors
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App Info
- Category
- Business
- Publisher
- Vladimir Ivakhnenko
- Languages
- English, German, Italian, Portuguese, Russian, Spanish, Turkish
- Recent release
- 1.20.12 (3 weeks ago )
- Released on
- Jul 3, 2022 (3 years ago )
- Also available in
- Brazil, United States, Russia, Italy, South Africa, Argentina, Portugal, India, Türkiye, Philippines, Dominican Republic, Spain, Nigeria, United Arab Emirates, Ghana, Saudi Arabia, Malaysia, Sri Lanka, Canada, Germany, Romania, Mexico, Paraguay, Nepal, Japan, Israel, Netherlands, Austria, Kazakhstan, Switzerland, Colombia, Kuwait, Chile, France, Armenia, Taiwan, Peru, Uzbekistan, Singapore, Indonesia, Thailand, Lebanon, United Kingdom, Algeria, Tunisia, Ukraine, Pakistan, Australia, Egypt, Lithuania, Cyprus, Poland, Belarus, Finland, Ecuador, Slovenia, Norway, Bulgaria, New Zealand, Denmark, Latvia, Luxembourg, Belgium, Iceland, Greece, Ireland, Bahrain, Brunei, Hong Kong SAR China, Estonia, Azerbaijan, Madagascar, China, Sweden, South Korea, Slovakia, Czechia, Vietnam, Malta, North Macedonia, Croatia, Hungary
- Last Updated
- 7 months ago
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