Резюме
Оплата по подписке прошла. Но я её могу открывать резюме ни по одному шаблону. Пустой лист. Непонятно.
Описание
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)
Встроенные покупки
- Premium Annual
- €59.99
- Premium Monthly
- €17.99
- Premium Weekly
- €5.99
- Premium For 1 Week
- €4.99
- Premium For 1 Month
- €14.49
- Premium For 3 Months
- €24.99
Скриншоты
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Приложение Resume Maker¹ бесплатное?
Да, Resume Maker¹ можно скачать бесплатно, однако в приложении есть встроенные покупки или подписки.
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Resume Maker¹ имеет несколько покупок/подписок внутри приложения, средняя цена покупки составляет €21.41.
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Так себе
Только платная версия. Без подписки нельзя сохранить резюме
Péssimo
Sai sozinho do apo e não da pra terminar
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
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Resume Maker¹ Конкуренты
CV Resume Maker ¹ Установки
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CV Resume Maker ¹ Доход
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Зарегистрируйтесь сейчас, чтобы получить доступ к статистика загрузок и доходов и многому другому.
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Информация о приложении
- Категория
- Business
- Разработчик
- Vladimir Ivakhnenko
- Языки
- English, German, Italian, Portuguese, Russian, Spanish, Turkish
- Последнее обновление
- 1.20.12 (2 недели назад )
- Выпущено
- Jul 3, 2022 (3 года назад )
- Также доступно в
- Бразилия, Соединенные Штаты, Россия, Италия, Аргентина, Южно-Африканская Республика, Португалия, Индия, Турция, Филиппины, Доминиканская Республика, Испания, Нигерия, Гана, ОАЭ, Саудовская Аравия, Малайзия, Шри-Ланка, Канада, Германия, Парагвай, Румыния, Непал, Япония, Мексика, Швейцария, Казахстан, Чили, Австрия, Кувейт, Нидерланды, Израиль, Колумбия, Тайвань, Таиланд, Ливан, Армения, Сингапур, Франция, Перу, Великобритания, Индонезия, Узбекистан, Финляндия, Пакистан, Украина, Беларусь, Австралия, Польша, Египет, Кипр, Тунис, Алжир, Литва, Мадагаскар, Хорватия, Бруней, Венгрия, Эквадор, Азербайджан, Новая Зеландия, Гонконг (САР), Бахрейн, Ирландия, Чехия, Словакия, Республика Корея, Эстония, Греция, Бельгия, Дания, Люксембург, Вьетнам, Словения, Мальта, Латвия, Северная Македония, Норвегия, Болгария, Швеция, Китай, Исландия
- Обновлено
- 7 месяцев назад
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