PredictNow provides Corrective AI solutions that apply machine learning to optimize trading strategies for hedge funds and financial institutions. The platform uses proprietary algorithms and pre-engineered features to forecast the probability of profitable trades, enhancing existing prediction models. This no-code approach allows firms to integrate data-driven optimization directly into their decision-making processes for improved efficiency.
Funding
$800K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Hedge funds and financial institutions often struggle to integrate machine learning predictions effectively into their existing trading strategies. Traditional approaches may require extensive model retraining or displacement of established practices, leading to inefficiencies and resistance from domain experts.
Solution
PredictNow.ai offers a Corrective AI platform designed to enhance, rather than replace, human decision-making in financial trading. The platform leverages machine learning to refine existing trading strategies by providing accurate forecasts of profitable trades. It seamlessly integrates with a firm's current prediction models and data infrastructure, augmenting their capabilities with specialized, pre-engineered features tailored for the financial domain. By synergizing domain expertise with advanced data science, PredictNow.ai empowers hedge funds to make data-driven decisions, optimize trading performance, and improve risk management.
Target Audience
The primary target audience includes hedge funds, asset managers, and financial institutions seeking to optimize their trading strategies and improve profitability through the integration of machine learning.
Features
- Pre-engineered input features tailored for the financial sector to enhance error prediction in decision-making
- Conditional Portfolio Optimization (CPO) technique for portfolio asset allocation and trading parameter optimization
- No-code user interface and API for easy integration and use of pre-engineered features and CPO method
- Integration with existing prediction models and data infrastructure
- Enriched historical trading record with comprehensive market insights for enhanced profit probability calculations