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Human and Artificial
Intelligence (HiAi)

Human and Artificial Intelligence (HiAi)

HIAI Information

What is HiAi and how it helps generating extra alpha?

HiAi is blend of cutting-edge AI and Human Intelligence program (AI), the program works on predictive analysis technology, which canpredict the portfolio performance on date of Investments by giving projected returns with the help of in-house model of forward-looking data, backed Analytics Model. HiAi program use neutral network algo to build predictability of returns. HiAi studies 8000 data points, last 23 years market behavior, and various market attributes to deliver returns.

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How HiAi has shifted the alpha-generating landscape into new

How HiAi has shifted the alpha-generating landscape into new

Deep Learning for Market Prediction (Far Beyond Linear Models)

Traditional statistical models have limitations in capturing the often non-linear, intricate patterns of financial markets. On the other hand, deep learning networks excel in finding correlations within large datasets. These networks adapt and improve over time, constantly refining their alpha-generating strategies for higher accuracies.

Reinforcement Learning

Constant Adaptation and Strategy Refinement, Reinforcement Learning (RL) takes AI-exclusive alpha-generating strategies to the next level by learning optimal decision-making through trial and error. RL algorithms adapt to new market conditions in real time. This realtime adaptation enables traders to modify their strategies quickly, often in response to unforeseen market events.

The Ultimate AI-Exclusive Strategy

The pinnacle of AI-exclusive strategies is autonomous trading strategy. These self-sufficient equity stocks systems need minimal human intervention and can independently develop, execute, and refine equity strategies. Built on complex algorithms that adapt to market changes, these systems can generate alpha consistently.

The HiAi Power Framework

CONSENSUS DATA ACQUISITION

Gather Bloomberg
consensus estimates for selected stocks, focusing on key metrics: 

  • Forward EPS
  • EBITDA Growth
  • Amortization Variance
  • Debt Growth/Reduction
    (Debt Trajectory)

GUIDANCE VS. STOCK MOVEMENT

Compare management
guidance with historical stock performance to assess discrepancies and market reactions.

FINANCIAL TRAJECTORY & RISK SCORECARD

Track debt growth/ reduction for each stock to understand its leverage trajectory and financial health. Calculate the variance in forward guidance over time and its correlation to stock movements.

WEIGHTAGE CALCULATION

Analyse % allocation across Mutual Funds PMS and AIFChart the stock’s presence and significance in various fund categories to gauge institutional confidence.

This framework provides a holistic approach to stock analysis by combining key financial metrics with fund allocation data, offering a clear view of both performance potential and strategic allocation across different portfolios.

How HiAi will help in adverse market scenario

HiAi helps companies keep track of quantify risk factors and predict outcomes (Artificial intelligence works in tandem with human risk management analysts to combine historical data and forward-looking judgment, establishing quantitative measures of market risk.)

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Artificial Neural
Networks (ANN)

ANNs are algorithms inspired by the structure and functioning of the
human brain. They learn from historical data and recognise complex patterns, making them effective in forecasting Equity
market movements.

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Support Vector
Machines (SVM)

SVMs are machine learning models that analyze and classify data into different categories. Based on historical data, they can be used to predict whether equity prices will rise or fall.

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Genetic Algorithms
(GA)

GAs are optimization algorithms that mimic natural selection. They can be used to optimize investment strategies by generating and evolving a population of possible solutions..

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Human Intelligence processing

Analyze news articles, market behavior, Capital movement and other sources of information to identify trends and sentiment related to specific companies or industries. This would help investors make more informed choices than if they did not have this data.