Blackhedge (now Surmount AI) — AI financial market intelligence
A real-time platform that turns raw market data into clear, AI-driven stock insights, predictive alerts, and automated trading signals.
Introduction
Blackhedge (now Surmount AI) gives investors real-time, data-driven insight into the stock market. It aggregates raw data from many sources, analyses behavioural patterns, and produces AI-driven predictions on market trends, helping users make informed buy and sell decisions.
The predictive engine, built on machine-learning models, generates real-time signals and alerts tailored to each user's preferences. A secure wallet handles storing, managing, and transferring funds, with planned support for UPI and QR-based payments. Customisable watchlists, real-time charts, historical data, and an integrated news feed turn complex market information into clear, actionable insight for both new and professional investors.
The market intelligence pipeline
- Data sources — three streams — price data, news, and sentiment — feed the pipeline.
- Ingestion & normalisation — fragmented inputs are cleaned and unified into one model.
- AI/ML engine — predictive models plus NLP sentiment analysis.
- Signal & risk scoring — the engine produces actionable signals with risk scores.
- Real-time alerts — personalised alerts and live dashboards reach the investor.
- Investor — watchlists, charts, and a secure wallet in one view.
Prices, news, and sentiment from many sources, unified into one real-time signal.
Challenges with traditional trading tools
Limited real-time insight
Traditional platforms serve delayed or partial data, so investors can't react quickly to price moves, and manual monitoring of many stocks is slow and error-prone.
Fragmented data sources
Prices, news, indicators, and history live in separate tools, forcing constant cross-referencing and making a holistic view hard to get in time.
No predictive analytics
Most tools rely on historical data and basic indicators, offering little foresight, so investors react to the past instead of anticipating the future.
Manual monitoring
Watching prices, indicators, and news across exchanges by hand is overwhelming, and without automated alerts, opportunities slip by.
Disconnected market signals
News, sentiment, and price trends aren't combined into one view, so the impact of an event on a stock is slow and hard to read.
Little personalisation
Rigid watchlists, alerts, and dashboards make it hard to focus on the stocks and metrics that matter to a given strategy.
Cluttered, complex navigation
Overloaded dashboards bury key data, steepening the learning curve and slowing decisions for new and experienced investors alike.
AI-powered solutions
Real-time predictive analysis
ML models continuously analyse historical and live data (prices, volumes, sector performance, macro indicators), find patterns and correlations, and forecast likely stock movements, so investors can anticipate shifts and act proactively.
AI-driven sentiment & news analysis
NLP monitors news, social posts, analyst reports, and filings in real time, scoring sentiment as positive, negative, or neutral and flagging market-moving events, so investors can read market psychology and anticipate volatility.
Automated alerts & notifications
The system watches for momentum shifts, trend reversals, and unusual activity, then pushes real-time, personalised alerts, so investors act on a move the moment it emerges rather than discovering it later.
Behavioural pattern insights
AI clustering and anomaly detection group stocks by behaviour, risk profile, and performance, surfacing subtle recurring patterns traditional analysis misses, so investors can prioritise opportunities and manage risk.
Personalised investment guidance
ML analyses each investor's behaviour, portfolio, and trading patterns to deliver tailored recommendations and adaptive insights that sharpen over time, improving both decisions and financial literacy.
Volatility & risk analysis
The platform models volatility, sector trends, and stock-level risk, runs scenario simulations (earnings shocks, geopolitical events, sector downturns), and produces dynamic risk scores and heatmaps, so investors can hedge and adjust before events hit.
Algorithmic trade execution
ML optimises execution by analysing order-book depth, liquidity, price history, and volatility to choose timing, order size, and strategy that reduce slippage and cost, adjusting dynamically to live market conditions.
Risk & signal intelligence
AI turns raw market behaviour into a clear, at-a-glance view of risk and opportunity.
Integrations & technology
Market data
Real-time price and volume feeds via Polygon.io, powering live charts, signals, and historical analysis.
News & sentiment
News and social/sentiment sources feeding the NLP engine.
AI/ML
Predictive models, NLP for sentiment, clustering and anomaly detection for pattern and risk analysis.
Payments & wallet
Secure fund storage and transfer, with planned UPI and QR-based payment support.
Real-time delivery
Streaming data and push notifications for live charts and instant alerts.
Impact & outcomes
Faster decisions
Real-time insight and predictive alerts let investors respond to opportunities instantly, acting proactively instead of reactively.
Improved accuracy
Data-driven predictions reduce human error and emotional decisions, grounding choices in forecasts, trend analysis, and detected anomalies.
Greater confidence and engagement
A comprehensive, actionable view of the market helps investors navigate complexity with confidence and stay engaged.
Risk mitigation and strategic edge
AI risk analysis and scenario modelling help investors anticipate volatility, hedge, and cut potential losses.
Efficiency and time savings
Automated analysis, alerts, and trade suggestions cut the hours spent on manual research, freeing investors to focus on strategy.
Personalised experience
The platform adapts to each user's portfolio, strategy, and risk tolerance, tailoring alerts, recommendations, and learning to their goals.
Technologies we built with
The stack behind Blackhedge, grouped by function.
Conclusion
AI and automation are changing how investors work the stock market, removing guesswork and delivering timely, personalised, data-driven insight. By combining AI, machine learning, and real-time analytics, Blackhedge (now Surmount AI) gives investors predictive alerts, automated recommendations, and a clear view of risk, so they can anticipate market moves, spot high-potential opportunities, and manage risk with confidence, while the AI handles the heavy analysis behind the scenes.
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