Description
2 Bedroom Apartment - Parque das Nações - Martinhal In the middle of Parque das Nações at Martinhal Residences, this stunning T2 Designed by Architect Eduardo Capinha Lopes and developed by Elegant Group, is part of a new luxury development and prestige that has a magnificent view over the Tagus River and the sunrise. Apartment Interior: Living Room: Inviting, with panoramic windows and river views Kitchen: Open space, fully equipped with MÃele appliances Finishes: Iroko varnished wood, Calacatta tiles from Margres Prestige, high-quality accessories from brands such as Roca and Bruma Furnished and Equipped: Sold fully furnished and ready to move in Development Amenities: Services: Concierge, 24-hour security Leisure: Indoor and outdoor swimming pools, garden, gym, kids club, business center, restaurant and bar Parking: Includes charger for electric vehicles Martinhal Circle: Exclusive family club Location and Infrastructure: Neighborhood: Cosmopolitan and modern, famous for contemporary architecture Nearby Attractions: Lisbon Oceanarium, Vasco da Gama Tower, Cable Car, Altice Arena, Lisbon Casino, Lisbon Exhibition and Congress Center Nearby Services: Hospital, pharmacies, banks, supermarkets, public and private schools (such as United Lisbon International School) Transport: Proximity to the Airport, Lisbon Center, Gare do Oriente, access to the A8 and A1, and the Vasco da Gama Bridge Investment Benefits: Valuation: Balance between property appreciation and quality of life Opportunity: Unique combination of residential living and hotel experience Investing in this apartment is investing in a unique combination of residential living and hotel experience.
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Property value1 750 000 €
Down Payment175 000 €10%
Monthly Payment (*)7072,45 €
(*) The monthly payment shown is a reference value, based on a variable rate (6-month Euribor), and does not replace a more complete and detailed financial analysis!
The information resulting from these simulations is merely indicative, intended to guide the estimated cost, according to the data provided by the user. Each financial institution has its own financing policies and conditions, and is not bound by the results of this simulation.