Maklumat Syarikat

Kenali AL Trading

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Maklumat Syarikat

Kenali AL Trading

AL Trading is a global online trading brand operated by AL Nvest Corporation Ltd, a company registered in Saint Lucia. The company provides retail and institutional clients with access to trade CFDs across multiple asset classes, including forex, stocks, indices, commodities, and cryptocurrencies. Its mission is to offer a technologically advanced trading environment with competitive conditions, such as tight spreads and high leverage, aiming to empower traders to access global financial markets.

Tunjukkan Lagi

Industri

Forex Broker RuncitUTAMA
Teknologi Platform Perdagangan Perisian

Perisian

Tiada data tersedia

Nampaknya bahagian ini kosong. Kembali semula untuk kemas kini!

Hubungi

Sosial

PERKHIDMATAN INI TIDAK TERSEDIA DI RANTAU ANDA

AL Trading

Amerika Syarikat

Diasas

Tidak Berkenaan

Diasaskan

Terakhir dalam talian: Tiada aktiviti terkini

Tuntut syarikat Lawati Laman Web

TrustScore tidak tersediaSkor tidak mencukupi untuk memaparkan trend.

Jadilah yang pertama menilai dan mengulas syarikat ini.

SKOR KESELURUHAN

Lesen

--/40

Ulasan

--/60

0 ulasan

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TrustScore tidak tersediaSkor tidak mencukupi untuk memaparkan trend.

Jadilah yang pertama menilai dan mengulas syarikat ini.

TrustFinance bukan penasihat kewangan berlesen dan tidak bergabung dengan mana-mana institusi kewangan di rantau anda. Kami menggalakkan anda menjalankan kajian sendiri sebelum membuat sebarang keputusan pelaburan.

Dikawal

Disyorkan

IUX

(2,283 ulasan)

Mauritius

2015

(10 tahun)

Maklumat Keselamatan :

FSCA

FSC

ASIC

Maklumat Keselamatan

Amaran

Syarikat ini pada masa ini Tidak Terbukti.

Sila berwaspada terhadap risiko yang berpotensi!

Lesen

Lesen Gred A

Dikeluarkan oleh pengawal selia yang terkenal di peringkat global, lesen ini memastikan perlindungan pedagang tertinggi melalui pematuhan ketat, pengasingan dana, insurans, dan audit berkala. Penyelesaian pertikaian dan pematuhan kepada piawaian AML/CTF seterusnya meningkatkan keselamatan.

Lesen Gred B

Diberikan oleh pengawal selia serantau yang dihormati, lesen ini menawarkan langkah keselamatan yang mantap seperti pengasingan dana, pelaporan kewangan, dan skim pampasan. Walaupun kurang ketat sedikit berbanding Tahap 1, ia menyediakan perlindungan serantau yang boleh dipercayai.

Lesen Gred C

Dikeluarkan oleh pengawal selia di pasaran baru muncul, lesen ini menawarkan perlindungan asas seperti keperluan modal minimum dan dasar AML. Pengawasan kurang ketat, jadi pedagang harus berhati-hati dan mengesahkan langkah keselamatan.

Lesen Gred D

Daripada bidang kuasa dengan pengawasan minimum, lesen ini seringkali kekurangan perlindungan utama seperti pengasingan dana dan insurans. Walaupun menarik untuk fleksibiliti operasi, ia menimbulkan risiko yang lebih tinggi kepada pedagang.

Maklumat Syarikat

Kenali AL Trading

Tunjukkan Lagi

Maklumat Syarikat

Kenali AL Trading

Tunjukkan Lagi

Industri

Forex Broker RuncitUTAMA
Teknologi Platform Perdagangan Perisian

Perisian

Tiada data tersedia

Nampaknya bahagian ini kosong. Kembali semula untuk kemas kini!

Hubungi

Sosial

Pengguna yang melihat AL Trading juga melihat…

IUX

XM

FXGT

Deriv

Exness

IUX

XM

FXGT

Deriv

Exness

Berita

TrustFinance Agensi Perisikan

Tarikh penyelidikan: Jun 28, 2026

The article discusses the growing impact of Large Language Models (LLMs) in equity investing, highlighting their ability to analyze vast datasets for market predictions, sentiment analysis, and automated trading. It reviews 84 research studies from 2022 to early 2025, categorizing LLM applications in finance into areas such as stock price forecasting, sentiment analysis, portfolio management, and algorithmic trading. The paper identifies key trends, methodologies, and challenges in utilizing LLMs, including data complexity, time sensitivity, and the need for interpretability in AI-driven financial strategies. It also proposes future research directions to enhance the effectiveness of LLMs in financial markets, emphasizing the integration of hybrid modeling approaches and the importance of addressing ethical considerations in automated decision-making.

The article discusses the growing impact of Large Language Models (LLMs) in equity investing, highlighting their ability to analyze vast datasets for market predictions, sentiment analysis, and automated trading. It reviews 84 research studies from 2022 to early 2025, categorizing LLM applications in finance into areas such as stock price forecasting, sentiment analysis, portfolio management, and algorithmic trading. The paper identifies key trends, methodologies, and challenges in utilizing LLMs, including data complexity, time sensitivity, and the need for interpretability in AI-driven financial strategies. It also proposes future research directions to enhance the effectiveness of LLMs in financial markets, emphasizing the integration of hybrid modeling approaches and the importance of addressing ethical considerations in automated decision-making.

A Khaleej Times investigation reveals a high-stakes online trading scam in the UAE involving fraudulent call centers and unlicensed trading platforms that have defrauded hundreds of investors of millions. The syndicate operates under various names, employing deceptive practices like manipulating trades and using a B-book brokerage model. Victims report significant financial losses, and the scam's network includes shell companies and proxy owners to evade accountability. Regulatory bodies warn against such unlicensed entities, emphasizing the risks of investing with them.

A Khaleej Times investigation reveals a high-stakes online trading scam in the UAE involving fraudulent call centers and unlicensed trading platforms that have defrauded hundreds of investors of millions. The syndicate operates under various names, employing deceptive practices like manipulating trades and using a B-book brokerage model. Victims report significant financial losses, and the scam's network includes shell companies and proxy owners to evade accountability. Regulatory bodies warn against such unlicensed entities, emphasizing the risks of investing with them.

The article discusses a growing scam in the UAE where residents are being duped into investing in fake forex trading platforms through cold calls and fraudulent websites. Victims, lured by promises of high returns and easy withdrawals, end up losing substantial amounts of money, often relying on loans to fund their investments. Many of these companies operate without a physical presence in the UAE, making recovery of lost funds nearly impossible. Experts warn about the risks of dealing with unregulated firms and emphasize the importance of caution in investment decisions.

The article discusses a growing scam in the UAE where residents are being duped into investing in fake forex trading platforms through cold calls and fraudulent websites. Victims, lured by promises of high returns and easy withdrawals, end up losing substantial amounts of money, often relying on loans to fund their investments. Many of these companies operate without a physical presence in the UAE, making recovery of lost funds nearly impossible. Experts warn about the risks of dealing with unregulated firms and emphasize the importance of caution in investment decisions.

An Abu Dhabi resident lost nearly $200,000 in a trading scam after responding to a social media advertisement for a fake trading website. Despite initial success, she was convinced to deposit more money, which led to significant losses. Scammers continued to contact her, suggesting her account was being transferred to another bogus platform. Authorities warn that online fraud is evolving, with scammers using reputable names to gain trust. The article highlights the persistence of scammers and the importance of vigilance against such schemes.

An Abu Dhabi resident lost nearly $200,000 in a trading scam after responding to a social media advertisement for a fake trading website. Despite initial success, she was convinced to deposit more money, which led to significant losses. Scammers continued to contact her, suggesting her account was being transferred to another bogus platform. Authorities warn that online fraud is evolving, with scammers using reputable names to gain trust. The article highlights the persistence of scammers and the importance of vigilance against such schemes.

UAE residents have been warned about scammers impersonating a licensed trading company, ADS Securities, to defraud investors. The Securities and Commodities Authority (SCA) advises individuals to verify the identity of entities before making financial transactions. The SCA has also cautioned against dealing with Platinum FX, which lacks the necessary license. Investors are urged to consult reliable sources for information to avoid falling victim to fraud.

UAE residents have been warned about scammers impersonating a licensed trading company, ADS Securities, to defraud investors. The Securities and Commodities Authority (SCA) advises individuals to verify the identity of entities before making financial transactions. The SCA has also cautioned against dealing with Platinum FX, which lacks the necessary license. Investors are urged to consult reliable sources for information to avoid falling victim to fraud.

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Ulasan

AL Trading Ulasan

Ulasan

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Disediakan oleh Analisis AI TrustFinance

Susun

Penapis

Berita

TrustFinance Agensi Perisikan

Tarikh penyelidikan: Jun 28, 2026

The article discusses the growing impact of Large Language Models (LLMs) in equity investing, highlighting their ability to analyze vast datasets for market predictions, sentiment analysis, and automated trading. It reviews 84 research studies from 2022 to early 2025, categorizing LLM applications in finance into areas such as stock price forecasting, sentiment analysis, portfolio management, and algorithmic trading. The paper identifies key trends, methodologies, and challenges in utilizing LLMs, including data complexity, time sensitivity, and the need for interpretability in AI-driven financial strategies. It also proposes future research directions to enhance the effectiveness of LLMs in financial markets, emphasizing the integration of hybrid modeling approaches and the importance of addressing ethical considerations in automated decision-making.

A Khaleej Times investigation reveals a high-stakes online trading scam in the UAE involving fraudulent call centers and unlicensed trading platforms that have defrauded hundreds of investors of millions. The syndicate operates under various names, employing deceptive practices like manipulating trades and using a B-book brokerage model. Victims report significant financial losses, and the scam's network includes shell companies and proxy owners to evade accountability. Regulatory bodies warn against such unlicensed entities, emphasizing the risks of investing with them.

The article discusses a growing scam in the UAE where residents are being duped into investing in fake forex trading platforms through cold calls and fraudulent websites. Victims, lured by promises of high returns and easy withdrawals, end up losing substantial amounts of money, often relying on loans to fund their investments. Many of these companies operate without a physical presence in the UAE, making recovery of lost funds nearly impossible. Experts warn about the risks of dealing with unregulated firms and emphasize the importance of caution in investment decisions.

An Abu Dhabi resident lost nearly $200,000 in a trading scam after responding to a social media advertisement for a fake trading website. Despite initial success, she was convinced to deposit more money, which led to significant losses. Scammers continued to contact her, suggesting her account was being transferred to another bogus platform. Authorities warn that online fraud is evolving, with scammers using reputable names to gain trust. The article highlights the persistence of scammers and the importance of vigilance against such schemes.

UAE residents have been warned about scammers impersonating a licensed trading company, ADS Securities, to defraud investors. The Securities and Commodities Authority (SCA) advises individuals to verify the identity of entities before making financial transactions. The SCA has also cautioned against dealing with Platinum FX, which lacks the necessary license. Investors are urged to consult reliable sources for information to avoid falling victim to fraud.

Disediakan oleh Analisis AI TrustFinance