Digital
Next-level trading: Embrace the future with these three game-changing AI Tools
Mumbai: The world of finance is witnessing a transformative revolution with the rise of Artificial Intelligence (AI) in trading. Investors and traders are gaining an edge in exploring the volatile and unpredictable stock market, thanks to the unprecedented insights, speed, and accuracy provided by AI-powered tools. Traders can now make sensible and swift decisions, safeguarding themselves from mere guesswork, as AI algorithms analyze vast amounts of historical data within seconds, generating valuable market trends and patterns that human analysis may miss. Shoonya’s significant leap forward to become India’s first trading platform to offer AI-powered predictive analysis and signals for individual stocks, is a trend setter. Let’s look at some of the AI tools to experience:
Algorithmic Trading Systems
Algorithmic trading, also known as automated trading or black-box trading, involves the use of pre-programmed trading instructions to execute trades at high speed and with precision. AI-powered algorithmic trading systems leverage complex mathematical models, historical data analysis, and real-time market information to identify profitable trading opportunities and execute trades automatically.
Sentiment Analysis Tools
Understanding market sentiment is a crucial aspect of successful trading. Sentiment analysis tools powered by AI can analyze large volumes of news articles, social media posts, and other textual data to gauge the overall sentiment towards specific assets or market conditions. By monitoring and analyzing this sentiment in real-time, traders can gain valuable insights into market trends, investor sentiments, and potential shifts in market dynamics. Sentiment analysis tools can help traders make informed decisions by identifying positive or negative sentiments that may impact asset prices, allowing them to adjust their trading strategies accordingly.
Predictive Analytics Platforms
Predictive analytics platforms leverage AI and machine learning algorithms to forecast future price movements and identify potential trading opportunities. These platforms analyze historical data, market indicators, and various other factors to generate accurate predictions and insights. By employing globally recognized neural networks and studying complex statistical models with Machine Learning, predictive analytics can identify patterns, correlations, and anomalies in market data that human traders may overlook. New-age trading platforms like Shoonya, have pioneered this feature and offered it to Indian users for the first time. This empowers traders to make more informed decisions and capitalize on opportunities with higher probability of success. These platforms can also assist in risk management by identifying potential market downturns or volatility spikes, allowing traders to adjust their positions accordingly.
Embracing AI tools in trading can provide traders with a significant competitive edge by enabling them to make data-driven decisions and react swiftly to market changes. Algorithmic trading systems automate trading strategies, while sentiment analysis tools help gauge market sentiment, and predictive analytics platforms provide accurate forecasts and insights. By incorporating these game-changing AI tools into their trading arsenal, traders can unlock new opportunities, enhance their strategies, and stay ahead in the ever-evolving financial markets. As AI technology continues to advance, we can expect even more innovative tools to revolutionise the way we trade and invest.
Digital
Content India 2026 opens with a copro pitch, a spice evangelist and a £10,000 prize for Indian storytelling
Dish TV and C21Media’s three-day summit puts seven ambitious projects before an international jury, and two walk away with serious development money
MUMBAI: India’s content industry gathered in Mumbai this March for Content India 2026, a three-day summit organised by Dish TV in partnership with C21Media, and it wasted no time making a statement. The event opened with a Copro Pitch that put seven scripted and unscripted television concepts before an international panel of judges, and by the end of it, two projects had walked away with £10,000 each in marketing prize money from C21Media to support development and international promotion.
The jury, comprising Frank Spotnitz, Fiona Campbell, Rashmi Bajpai, Bal Samra and Rachel Glaister, evaluated a shortlist that ranged from a dark Mumbai comedy-drama about mental health (Dirty Minds, created by Sundar Aaron) to a Delhi coming-of-age mystery (Djinn Patrol, by Neha Sharma and Kilian Irwin), a techno-thriller about a teenage gaming prodigy (Kanpur X Satori, by Suchita Bhatia), an investigative crime drama blending mythology and modern thriller (The Age of Kali, by Shivani Bhatija), a documentary on India’s spice heritage (The Masala Quest, hosted by Sarina Kamini), a documentary on competitive gaming (Respawn: India’s Esports Revolution, by George Mangala Thomas and Sangram Mawari), and a reality-horror competition merging gaming and immersive fear (Scary Goose, by Samar Iqbal).
The session was hosted by Mayank Shekhar.
The two winners were Djinn Patrol, backed by Miura Kite, formerly of Participant Media and known for Chinatown and Keep Sweet: Pray & Obey, with Jaya Entertainment, producers of Real Kashmir Football Club, also attached; and The Masala Quest, created and hosted by Sarina Kamini, an Indian-Australian cook, author and self-described “spice evangelist.”
The summit also unveiled the Content India Trends Report, whose findings made for bracing reading. Daoud Jackson, senior analyst at OMDIA, set the tone: “By 2030, online video in India will nearly double the revenue of traditional TV, becoming the main driver of growth.” He noted that in 2025, India produced a quarter of all YouTube videos globally, overtaking the United States, while Indians collectively spend 117 years daily on YouTube and 72 years on Instagram. Traditional subscription TV is declining as free TV and connected TV gain ground, forcing broadcasters to innovate. “AI-generated content is just 2 per cent of engagement,” Jackson added, “highlighting the dominance of high-quality human content. The key for Indian media companies is scaling while monetising effectively from day one.”
Hannah Walsh, principal analyst at Ampere Analysis, added hard numbers to the picture. India produced over 24,000 titles in January 2026 alone, with 19,000 available internationally. The country now accounts for 12 per cent of Asia-Pacific content spend, up from 8 per cent in 2021, outpacing both Japan and China. Key exporters include JioStar, Zee Entertainment, Sony India, Amazon and Netflix, delivering over 7,500 Indian-produced titles abroad each year. The top importing markets are Saudi Arabia, the UAE, Egypt, the United States and the Philippines. Scripted content dominates globally at 88 per cent, with crime dramas and children’s and family titles performing particularly strongly.
Manoj Dobhal, chief executive and executive director of Dish TV India, framed the summit’s ambition squarely. “Stories don’t need translation. They need a platform, discovery, and reach, local or global,” he said. “India produces more movies than any country, our streaming platforms compete globally, and our tech and creators win international awards. Yet fragmentation slows growth. Producers, platforms, and tech move in different lanes. We need shared spaces, collaboration, and an ecosystem where ideas, technology, and people meet. That is why we built Content India.”
The data, the pitches and the prize money all pointed to the same conclusion: India is not waiting for the world to discover its stories. It is building the infrastructure to sell them.
