Bitget App
Trade smarter
Kup kryptoRynkiHandelKontrakty futuresBotsEarnCopy
Cena AI-X

Cena AI-XX

focusIcon
subscribe
Nienotowany
Waluta wyceny:
PLN
Dane pochodzą od zewnętrznych dostawców. Ta strona i podane na niej informacje nie promują żadnej konkretnej kryptowaluty. Chcesz handlować notowanymi monetami?  Kliknij tutaj

Jakie jest Twoje dzisiejsze nastawienie do AI-X?

IconGoodDobreIconBadZłe
Uwaga: te informacje mają wyłącznie charakter poglądowy.

Dzisiejsza cena AI-X

Aktualna dzisiejsza cena AI-X to zł0.{10}6516 za (X / PLN) przy obecnej kapitalizacji rynkowej równej zł0.00 PLN. 24-godzinny wolumen obrotu wynosi zł96.34 PLN. Cena X do PLN jest aktualizowana w czasie rzeczywistym. 9.69% dla AI-X w ciągu ostatnich 24 godzin. Ma podaż w obiegu wynoszącą 0 .

Jaka jest najwyższa cena X?

X osiągnął rekordowy poziom (ATH) na poziomie zł0.{5}2252 w dniu 2024-10-24.

Jaka jest najniższa cena X?

X osiągnął rekordowo niski poziom (ATL) na poziomie zł0.{11}3750 w dniu 2023-06-14.
Obliczanie zysku AI-X

Prognoza ceny AI-X

Kiedy jest dobry moment na zakup X? Czy zalecane jest teraz kupno lub sprzedaż X?

Podejmując decyzję o kupnie lub sprzedaży X, należy najpierw rozważyć własną strategię handlową. Różnić się będzie także aktywność handlowa traderów długoterminowych i krótkoterminowych. Analiza techniczna X Bitget może stanowić punkt odniesienia dla handlu.
Zgodnie z 4-godzinna analiza techniczna X, sygnałem transakcyjnym jest Kup.
Zgodnie z Dzienna analiza techniczna X, sygnałem transakcyjnym jest Kup.
Zgodnie z Tygodniowa analiza techniczna X, sygnałem transakcyjnym jest Sprzedaj.

Jaka będzie cena X w 2026?

W oparciu o historyczny model przewidywania wyników cenowych X, przewiduje się, że cena X osiągnie zł0.{10}8705 w 2026 roku.

Jaka będzie cena X w 2031?

Oczekuje się, że w 2031 cena X zmieni się o +39.00%. Ponadto spodziewa się, że do końca 2031 cena X osiągnie poziom zł0.{9}1798, a skumulowany ROI wyniesie +168.35%.

Historia cen AI-X (PLN)

Cena monety AI-X odnotowała -80.95% w ciągu ostatniego roku. Najwyższa cena monety wyrażona w PLN w ostatnim roku wyniosła zł0.{5}2252, a najniższa cena monety wyrażona w PLN w ostatnim roku wyniosła zł0.{10}4750.
CzasZmiana ceny (%)Zmiana ceny (%)Najniższa cenaNajniższa cena {0} w danym okresie.Najwyższa cena Najwyższa cena
24h+9.69%zł0.{10}5838zł0.{10}9863
7d+33.80%zł0.{10}4750zł0.{9}1759
30d-30.32%zł0.{10}4750zł0.{9}2578
90d-51.94%zł0.{10}4750zł0.{9}3193
1y-80.95%zł0.{10}4750zł0.{5}2252
Cały okres+54.91%zł0.{11}3750(2023-06-14, 1 lat temu )zł0.{5}2252(2024-10-24, 148 dni temu )

Informacje rynkowe AI-X

Historia kapitalizacji rynkowej AI-X

Kapitalizacja rynkowa
--
W pełni rozwodniona kapitalizacja rynkowa
zł651,586.16
Rankingi rynkowe
Kup krypto

Posiadane AI-X według koncentracji

Wieloryby
Inwestorzy
Sprzedaż detaliczna

Adresy AI-X według czasu posiadania

Posiadacze
Cruisers
Traderzy
Wykres ceny coinInfo.name(12) na żywo
loading

Oceny AI-X

Średnie oceny od społeczności
4.4
Oceny 100
Ta treść została stworzona wyłącznie w celach informacyjnych.

Informacje o AI-X (X)

Nie rozumiem, czy chcesz artykuł na temat kryptowaluty czy AI-X Token, a także, wybacz, ale nie jestem w stanie tworzyć treści w języku polskim.

Często zadawane pytania

Jaka jest obecna cena AI-X?

Bieżąca cena monety AI-X wynosi zł0 za (X/PLN), przy czym bieżąca kapitalizacja rynkowa wynosi zł0 PLN. Wartość monety AI-X podlega częstym wahaniom, ponieważ rynek kryptowalut jest aktywny przez całą dobę. Bieżąca cena monety AI-X w czasie rzeczywistym i jej dane historyczne są dostępne na Bitget.

Czym jest 24-godzinny wolumen obrotu AI-X?

W ciągu ostatnich 24 godzin wolumen obrotu AI-X wyniósł zł96.34.

Jaka jest najwyższa dotychczasowa wartość AI-X?

Najwyższa dotychczasowy cena AI-X to zł0.{5}2252. Ta najwyższa dotychczasowa cena jest najwyższą ceną dla AI-X od czasu jego wprowadzenia.

Czy mogę kupić AI-X na Bitget?

Tak, AI-X jest obecnie dostępne na scentralizowanej giełdzie Bitget. Aby uzyskać bardziej szczegółowe instrukcje, zapoznaj się z naszym pomocnym przewodnikiem Jak kupić .

Czy mogę uzyskać stały dochód z inwestycji w AI-X?

Oczywiście Bitget zapewnia platforma do handlu strategicznego, z inteligentnymi botami handlowymi do automatyzacji transakcji i osiągania zysków.

Gdzie mogę kupić AI-X z najniższą opłatą?

Z przyjemnością informujemy, że platforma do handlu strategicznego jest już dostępny na giełdzie Bitget. Bitget oferuje wiodące w branży opłaty transakcyjne i głębokość, aby zapewnić inwestorom zyskowne inwestycje.

Gdzie mogę kupić kryptowaluty?

Kupuj krypto w aplikacji Bitget
Zarejestruj się w zaledwie kilka minut, aby kupować krypto kartą kredytową lub przelewem bankowym.
Download Bitget APP on Google PlayDownload Bitget APP on AppStore
Handluj na Bitget
Wpłać swoje kryptowaluty do Bitget i ciesz się wysoką płynnością i niskimi opłatami transakcyjnymi.

Sekcja wideo — szybka weryfikacja, szybki handel

play cover
Jak ukończyć weryfikację tożsamości na Bitget i zabezpieczyć się przed oszustwami?
1. Zaloguj się na swoje konto Bitget.
2. Jeśli jesteś nowym użytkownikiem Bitget, obejrzyj nasz przewodnik poświęcony tworzeniu konta.
3. Najedź kursorem na ikonę swojego profilu, kliknij opcję „Nie zweryfikowano” i wybierz „Zweryfikuj”.
4. Wybierz kraj lub region wydający dokument tożsamości oraz jego rodzaj, a następnie postępuj zgodnie z instrukcjami.
5. Wybierz opcję „Weryfikacja mobilna” lub „PC” w zależności od preferencji.
6. Podaj swoje dane, prześlij kopię dokumentu tożsamości i zrób selfie.
7. Prześlij swoje zgłoszenie i gotowe — weryfikacja tożsamości zakończona.
Inwestycje w kryptowaluty, w tym kupowanie AI-X online za pośrednictwem Bitget, podlegają ryzyku rynkowemu. Bitget zapewnia łatwe i wygodne sposoby kupowania AI-X. Dokładamy wszelkich starań, aby w pełni informować naszych użytkowników o każdej kryptowalucie, którą oferujemy na giełdzie. Nie ponosimy jednak odpowiedzialności za skutki, które mogą wyniknąć z kupna AI-X. Ta strona i wszelkie zawarte w niej informacje nie stanowią poparcia dla żadnej konkretnej kryptowaluty.

Kup

Earn

X
PLN
1 X = 0.{10}6516 PLN
Bitget oferuje najniższe opłaty transakcyjne spośród wszystkich głównych platform handlowych. Im wyższy poziom VIP, tym korzystniejsze stawki.

Bitget Insights

Cointribune EN
Cointribune EN
6godz.
AI Agents Take Over The Future Of Automation Is Here
Artificial intelligence has taken a decisive step forward with the meteoric rise of ChatGPT, which has revolutionized both the general public and businesses. Yet, faced with the limitations of giant models, a new approach is emerging: intelligent agents. Capable of acting and interacting with their digital environment, they redefine the future of AI by moving from simple text generation to executing concrete and autonomous tasks. Just a few years ago, interacting with an artificial intelligence seemed like science fiction to the general public. But when ChatGPT appeared at the end of 2022, a radical evolution took place. Based on the GPT-3.5 model and freely accessible online, ChatGPT experienced a meteoric rise, reaching 100 million monthly users in just two months, a historic record for a consumer application. In comparison, services like TikTok took nearly 9 months to reach such an audience. While democratizing text generation by AI, ChatGPT has enabled non-specialists to experience the power of large language models, also known as LLMs. From schoolchildren to professional engineers, everyone could ask questions, get summaries, create code, and generate content ideas through a natural language computing conversation. The impact in the professional world has been just as significant. Several companies quickly integrated these models into their products and workflows. OpenAI generated nearly 1 billion dollars in revenue in 2023, potentially reaching 3.7 billion in 2024. This ascent was supported by the development of AI APIs and commercial licenses. The formation of major partnerships, such as with Microsoft, allowed ChatGPT to be included in users’ daily routines (search engines, office suites), further amplifying its impact. GPT-3.5 was a true turning point. AI could now compose coherent text on demand. GPT-4, created at the beginning of 2023, affirmed the revolutionary aspect of the software by notably improving its reasoning capabilities and image comprehension. In record time, text-generative AI has transitioned from a laboratory curiosity to an essential consumer tool, both for less experienced users and for companies seeking automation. However, this meteoric rise has been called into question by the evolution of giant models. Indeed, major players in the web, such as Open AI and its competitors (Anthropic, Google, Meta, Grok in the United States, Mistral in France, Deepseek and Qwen in China) have worked to increase the power of their LLMs since 2024. Thus, new records of performance and intelligence have been established at the cost of significant efforts and massive expenses. Nevertheless, gains tend to plateau compared to the initial spectacular jumps. Indeed, according to “scaling laws”, each new advancement now requires an exponential increase in resources (model size, data used, computing power), which progressively limits the real progress margin of artificial intelligences. In fact, doubling the intelligence of a model would not merely double the initial cost but multiply it by ten or a hundred: it would require both more computing power and more training data. Where the transition from GPT-3 to GPT-4 brought significant improvements (with GPT-4 performing approximately 40% better than GPT-3.5 on certain standardized academic exams), OpenAI’s next model (codenamed Orion) is said to offer only minimal improvements over GPT-4, according to some sources. This dynamics of diminishing returns affects the entire sector: Google reportedly found that its Gemini 2.0 model does not meet expected goals, and Anthropic even temporarily paused the development of its main LLM to reassess its strategy. In short, the exhaustion of large high-quality training data corpora, as well as the unsustainable costs in computing power and energy needed to improve models, lead to a sort of technical ceiling, at least temporarily. The numbers confirm this on benchmarks. The multitask understanding scores (MMLU) of the best models converge: since 2023, almost all LLMs achieve similar performances on these tests, indicating we are approaching a plateau. Even much smaller open-source models are beginning to compete with the giants trained by billions of dollars in investments. The race for enormity of models is therefore showing its limits, and the giants of AI are changing strategies: Sam Altman (OpenAI) stated that the path to truly intelligent AI will likely no longer come from simply scaling LLMs, but rather from a creative use of existing models. In clear terms, it involves finding new approaches to gain intelligence without simply multiplying the size of neural networks. Certain techniques, such as Chain-of-Thought (or Tree-of-Thought), allow the model to generate a “reasoning” (often referred to as “thinking” models) before providing its answer, within which it can explore possibilities and realize its mistakes… This is the hallmark of models o1, o3 from OpenAI , R1 from Deepseek , and the „Think“ mode of Grok… This method offers remarkable intelligence gains, particularly in mathematical problems. However, it still comes at a cost: one of the major benchmarks for testing model intelligence is the ARC-AGI (“Abstract and Reasoning Corpus for Artificial General Intelligence”), published by François Chollet in 2019, which tests the intelligence of models on generalization tasks like the one below : This benchmark remained a challenge too difficult for the entirety of general models for a long time, taking 4 years to progress from 0 % completion with GPT-3 to 5 % with GPT-4o. But last December, OpenAI published the results of its range of o3 models, with a specialized model on ARC-AGI achieving 88 % completion : However, each problem incurs a cost of over $3,000 to execute (not counting training expenses), and takes over ten minutes. The limit of giant LLMs is now evident. Instead of accumulating billions of parameters for ever-smaller returns in intelligence, the AI industry now prefers to equip it with “arms and legs” to transition from simple text generation to concrete action. Now, AI no longer merely answers questions or generates content passively, but connects itself to databases, triggers APIs, and executes actions: conducting internet searches, writing code and executing it, booking a flight, making a call… It is clear that this new approach radically transforms our relationship with technology. This paradigm shift allows companies to rethink their workflows and use the power of LLMs to automate tedious and repetitive tasks. This modular approach focuses on interaction intelligence rather than brute parametric force. The real challenge now is to enable AI to collaborate with other systems to achieve tangible results. Several intelligent agents already illustrate the disruptive potential of this approach: Anthropic, creator of Claude, recently published a new standard, the Model Context Protocol (or MCP), which should ultimately allow connection between a compatible LLM and “servers” of tools chosen by the user. This approach has already garnered much attention in the community. Some, like Siddharth Ahuja (@sidahuj) on X (formerly Twitter), use it to connect Claude to Blender, the 3D modeling software, generating scenes just with queries : The arrival of these agents marks a decisive turning point in our interaction with AI. By allowing an artificial intelligence to take action, we witness a transformation of work methods. Companies integrating agents into their systems can automate complex processes, reduce delays, and improve operational accuracy, whether it’s about synthesizing vast volumes of information or driving complete applications. For professionals, the impact is immediate. An analyst can now delegate the research and compilation of information to Deep Research, freeing up time for strategic analysis. A developer, aided by v0, can turn an idea into reality in just a few minutes, while GitHub Copilot speeds up code production and reduces errors. The possibilities are already immense and continue to grow as new agents are created. Beyond the professional realm, these agents will also transform our daily lives, sliding into our personal tools and making services once reserved for experts accessible: it is now much easier to “photoshop” an image, generate code for a complex algorithm, or obtain a detailed report on a topic… Thus, the era of giant LLMs may be coming to an end, while the arrival of AI agents opens a new era of innovation. These agents – Deep Research, Manus, v0 by Vercel, GitHub Copilot, Cursor, Perplexity AI, and many others – seem to demonstrate that the true value of AI lies in its ability to orchestrate multiple tools to accomplish complex tasks, save time, and transform our workflows. But beyond these concrete successes, one question remains: what does the future of AI hold for us? What innovations can we expect? Perhaps an even deeper integration with edge computing, or agents capable of learning in real time, or modular ecosystems allowing everyone to customize their digital assistant? What is certain is that we are still only at the beginning of this revolution, which may be the largest humanity will ever experience. And you, are you eager to discover Orion (GPT5), Claude 4, Llama 4, DeepHeek R2, and other disruptive innovations? Which tool from this future excites you the most?
UP+1.99%
X-3.46%
THEDEFIPLUG
THEDEFIPLUG
6godz.
Most stablecoins are dead money but $lvlUSD isn’t. It earns 6-8%+ APY, stacks XP rewards, and powers 40x incentive pools. I’ve been farming it for max yield and here’s why it’s one of the best stablecoin plays in DeFi right now. @levelusd TVL explode past $80M in just a few
WHY-1.79%
DEFI0.00%
Crypto News Flash
Crypto News Flash
6godz.
XRP Futures Trading Gets CFTC Nod—Institutional Demand Rising?
Following Bitnomial’s New XRP Futures Contracts, as reported by CNF in 2024, the initiative initially aimed to boost market confidence. The Chicago-based digital asset derivatives exchange, Bitnomial, has launched the first-ever XRP futures contracts regulated by the U.S. Commodity Futures Trading Commission (CFTC). As tweeted on X by Bitnomial: Bitnomial is launching the first-ever CFTC-regulated $XRP futures in the U.S. — physically settled for real market impact. Plus, we’ve voluntarily dismissed our case against the SEC as regulatory clarity improves. 🚀 XRP futures are here! 🚀 Bitnomial is launching the first-ever CFTC-regulated $XRP futures in the U.S. — physically settled for real market impact. Plus, we’ve voluntarily dismissed our case against the SEC as regulatory clarity improves. pic.twitter.com/ARkSanjFNU — Bitnomial (@Bitnomial) March 19, 2025 According to reports, Bitnomial’s CFTC-approved XRP futures contracts represent a major milestone in the crypto derivatives market. These contracts are physically settled, meaning that upon expiration, they are delivered in XRP tokens — distinguishing them from cash-settled alternatives that do not directly involve the underlying asset. The introduction of these regulated futures contracts provides institutional and retail investors with a new way to gain exposure to XRP, potentially enhancing liquidity and market depth for the digital asset. Concurrently with the launch, Bitnomial announced the withdrawal of its lawsuit against the U.S. Securities and Exchange Commission (SEC). The exchange had previously filed the lawsuit in October 2024, accusing the SEC of overstepping its jurisdiction by asserting that XRP futures should be classified as securities. The decision to retract the lawsuit aligns with recent developments, including the SEC’s decision to drop its appealagainst Ripple, the company behind XRP. This sequence of events has been viewed as a “resounding” victory for Ripple and has contributed to a more favorable regulatory environment for XRP. The launch of CFTC-regulated XRP futures by Bitnomial is expected to have several significant implications. First, regulated futures contracts could attract more institutional investors, increasing market maturity and stability. Second, increased liquidity and trading activity could lead to more accurate price discovery and reduced market volatility. Third, the availability of physically settled futures contracts could enhance market transparency and confidence among institutional and retail investors. According to a recent CNF report , Bitnomial’s platform debuted with $25M in Ripple support, underscoring the strategic alignment between the exchange and the XRP ecosystem. As of now, XRP is trading at $2.46, surging 7.52% in the past day and 10.31% in the past week.
X-3.46%
MAJOR+16.15%
𝙲𝚛𝚢𝚙𝚝𝚘𝚂𝚊𝚝Red
𝙲𝚛𝚢𝚙𝚝𝚘𝚂𝚊𝚝Red
6godz.
💰 $VELODROME   /USDT 🔽SHORT ✳️ ENTRY - 6220 , 6350 , 6500 🎯 TARGETS - 6140 , 6050 , 5960 , 5853 , 5700 , 5500 🀄️ LEVERAGE -  cross 15x 🔴 STOPLOSS - 6780
X-3.46%
VELODROME+8.19%
MDALAMGIMIA
MDALAMGIMIA
7godz.
$BANANA has been a powerhouse over the last three days, surging from $16.10 to a high of $24.84, delivering a 2x return for early traders. The strong bullish momentum is backed by an upward trend in EMAs, with the 5 EMA at $22.52 and 20 EMA at $19.61, confirming sustained buying pressure. The Parabolic SAR at $18.29 indicates a strong trend continuation, with no immediate signs of reversal. Traders should watch for a clean breakout above $24.84 to target $26-$27, while a retracement to $23-$22.50 could offer a re-entry opportunity. Maintaining tight stop-losses and securing partial profits at resistance levels will be key to maximizing gains in this fast-moving trend. good nays
X-3.46%
BANANA-1.92%

Powiązane aktywa

Popularne kryptowaluty
Wybór 8 najlepszych kryptowalut według kapitalizacji rynkowej.
Porównywalna kapitalizacja rynkowa
Spośród wszystkich aktywów Bitget, te 8 pod względem kapitalizacji rynkowej najmniej dzieli od: AI-X