Stocker: FinTech Innovation in Stock Market Prediction and Trading Automation

The rapid evolution of financial markets, combined with the increasing reliance on technology-driven solutions, highlights the necessity of intelligent systems to assist traders in making informed decisions. The "Stocker" platform is designed as an innovative stock market prediction and trading solution that leverages advanced machine learning algorithms to analyze market trends and forecast stock prices. With features including real-time stock trading, predictive analytics, and a user-friendly interface, Stocker aims to empower investors by providing accurate insights and seamless trading experiences. By integrating secure payment processing, real-time data tracking, and intelligent recommendations, Stocker enhances user engagement and supports efficient financial decision-making in the dynamic stock market landscape. The integration of FinTech in stock market prediction and trading automation is revolutionizing the financial world. AI-driven tools like algorithmic trading, high-frequency trading (HFT), and predictive analytics are enabling faster, data-driven decision-making. These technologies analyze vast amounts of data in real-time, identify patterns, and execute trades with precision. The AI-powered systems can process market trends, financial news, and economic indicators to predict price movements and optimize trading strategies. This reduces human error and emotional biases, making trading more efficient and potentially more profitable.

Authors

Publication Details

Journal
International Journal For Multidisciplinary Research
Published
2025-03-17
DOI
https://doi.org/10.36948/ijfmr.2025.v07i02.39169
Primary Topic
FinTech, Crowdfunding, Digital Finance
Type
article
Field-Weighted Citation Impact
0.00
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Stocker: FinTech Innovation in Stock Market Prediction and Trading Automation

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International Journal For Multidisciplinary Research
FinTech, Crowdfunding, Digital Finance
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Stocker: FinTech Innovation in Stock Market Prediction and Trading Automation

Utpal Anand, Sunil Kumar, Gopal Patidar, Abhay Raj Raj, M. K. Jayanthi Kannan, Yashwant Ramesh Mule
article en

Abstract

The rapid evolution of financial markets, combined with the increasing reliance on technology-driven solutions, highlights the necessity of intelligent systems to assist traders in making informed decisions. The "Stocker" platform is designed as an innovative stock market prediction and trading solution that leverages advanced machine learning algorithms to analyze market trends and forecast stock prices. With features including real-time stock trading, predictive analytics, and a user-friendly interface, Stocker aims to empower investors by providing accurate insights and seamless trading experiences. By integrating secure payment processing, real-time data tracking, and intelligent recommendations, Stocker enhances user engagement and supports efficient financial decision-making in the dynamic stock market landscape. The integration of FinTech in stock market prediction and trading automation is revolutionizing the financial world. AI-driven tools like algorithmic trading, high-frequency trading (HFT), and predictive analytics are enabling faster, data-driven decision-making. These technologies analyze vast amounts of data in real-time, identify patterns, and execute trades with precision. The AI-powered systems can process market trends, financial news, and economic indicators to predict price movements and optimize trading strategies. This reduces human error and emotional biases, making trading more efficient and potentially more profitable.

International Journal For Multidisciplinary ResearchVol. 7(2)
Openalex Percentile: Top 93%
FinTech, Crowdfunding, Digital Finance
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