AI-Powered Decision Intelligence
for Market Prediction
Using AI and machine learning to help hedge funds and asset managersimprove timing, reduce volatility, and make smarter investment decisions across shifting market regimes.
How it Works
Demandlytix uses Artificial Intelligence to refine and strengthen existing decision processes, not replace them. The system takes your current signals, execution logic, and allocation rules, then identifies where decisions historically over- or under-performed. It models the conditions that drive those outcomes and produces probability-based estimates for the next trade or allocation event. This allows you to adjust sizing, timing, or exposure only where it matters. The workflow stays the same. The decisions become sharper.
Connect Data
Ingest internal strategy returns, execution logs, factor exposures, and market microstructure data into a unified pipeline without altering existing workflows.
Real-Time Analysis
System evaluates cross-asset signals continuously, extracting regime states, volatility conditions, crowding pressure, and liquidity dynamics.
Predict Edge
Models quantify probability of profit, capital efficiency, and drawdown risk for upcoming trades and position adjustments and expected timing.
Execute Action
Outputs integrate directly into your current execution stack: size adjustments, entry filters, exit timing, and portfolio allocation shifts delivered as clear, operational signals.
Real Results from Our Signals
Discover how a leading fund transformed performance with data-driven trading intelligence.
Proven Performance in Action
Discover how leading funds have transformed performance with our data-driven trading intelligence.

15% Reduction in Drawdown
Smarter ML exposure control cut drawdowns and kept performance steady, boosting resilience.
AI-Enhanced Momentum
Adaptive intelligence that strengthens every trade.
- ChallengeStrong in trends, but sharp reversals caused drawdowns and inconsistent performance.
- SolutionML signals adjusted exposure, filtering weak setups and targeting high-conviction trades.
- ResultMore consistency, better downside protection, and stronger risk-adjusted returns.
ML Performance Snapshot
A meaningful boost in CAGR and Sharpe, driven by an ML engine that filters noise, enhances conviction, and cuts trade volume nearly in half.
| 46% | CAGR post ML from 41.71% |
| 1.53 | Sharpe post ML from 1.22 |
| 51% | Trades taken results in high efficiency |
Proven Performance in Action
Discover how leading funds have transformed performance with our data-driven trading intelligence.

58% Reduction in Drawdown
ML strengthened the short overlay, cutting drawdowns 58% and turning volatility into steadier protection.
AI-Powered Precision That Reinvents Short Momentum
Smarter Downside Filtering for a More Controlled Strategy
- Challenge The short framework caught downside, but whipsaws caused reversals and losses.
- Solution ML used pre-market and sentiment-macro signals to adjust exposure and target high-conviction shorts.
- Outcome The short leg became proactive, delivering smoother returns and stronger downside control.
ML Performance Snapshot
This was not just an incremental improvement; our ML fundamentally sharpened the strategy’s precision and efficiency.
| 33% | CAGR post ML from 14.21% |
| 1.47 | Sharpe post ML, up from 0.62 |
| 50% | Trades taken reduces risk |
Proven Performance in Action
Discover how leading funds have transformed performance with our data-driven trading intelligence.

23% Reduction in Volatility
Demandlytix’s ML cut volatility 23%, making the strategy smoother, more predictable, and resilient to shifts.
Intelligent Momentum Reinvented for Modern Market Dynamics
AI-Driven Regime Awareness That Filters Noise and Sharpens Exposure
- Challenge The strategy caught long-term momentum but regime shifts and reversals caused uneven returns and drawdowns.
- Solution ML using macro and pre-market signals filtered noise, adjusted exposure, and added regime awareness.
- Outcome The model became more adaptive and steady, handling reversals better and capturing higher-quality signals.
ML Performance Snapshot
Demandlytix leveraged the proprietary features to better capture daily market dynamics and regime shift.
| 32% | Reduction in Max Drawdown |
| 17.41% | CAGR post ML from 15.31% |
| 1.23 | Sharpe post ML from 0.91 |
| 58% | Trades taken, reduces risk |
Proven Performance in Action
Discover how leading funds have transformed performance with our data-driven trading intelligence.

21% Reduction in Max Drawdown
ML filtering improved stability, cutting max drawdown 21% and delivering smoother, more resilient QIS returns.
AI That Reinforces and Refines Momentum Execution
Sharper Signal Selection. Higher-Confidence Trades. Better Outcomes.
- Challenge The QIS variant trimmed weak names but still faced volatility, uneven returns, and limiting drawdowns.
- Solution ML with macro features filtered weak signals and scaled exposure to focus on higher-confidence opportunities.
- Outcome The enhanced approach kept core momentum while improving stability, consistency, and risk-adjusted returns.
ML Performance Snapshot
Using the proprietary feature framework, Demandlytix captured daily market dynamics and regime shifts with sharper clarity.
| 85 | Drawdown days reduced form 146 |
| 13% | CAGR post ML, up from 9.67% |
| 1.13 | Sharpe post ML, up from 0.88 |
Proven Performance in Action
Discover how leading funds have transformed performance with our data-driven trading intelligence.

64% Reduction in Volatility
ML filtering stabilized the strategy, cutting volatility 64% and creating smoother, more predictable returns.
Intelligent ML That Reinforces Volatility-Driven Execution
Regime-Sensitive Signal Refinement for Greater Stability and Control.
- Challenge The strategy saw uneven returns, high volatility, and drawdowns as static signals missed regime shifts.
- Solution ML with custom micro-macro features filtered and adapted signals using probability and regime awareness.
- Outcome The strategy became more adaptive and resilient, improving stability, reducing risk, and delivering steadier performance.
ML Performance Snapshot
Demandlytix used its proprietary features that captured daily market shifts with greater accuracy, unlocking better Sharpe, lower drawdowns, and improved compounding.
| 82% | Reduction in Max Drawdown |
| 1.27% | CAGR post ML, up from 0.36% |
| 2.16 | Sharpe post ML, up from 0.23 |
| 60% | Trades taken reduces risk |
Proven Performance in Action
Discover how leading funds have transformed performance with our data-driven trading intelligence.

46% Reduction in Volatility
ML turned the volatile VIX hedge into a steadier, risk-controlled strategy with stronger downside protection.
AI-Enhanced Hedging Framework for Superior VIX Stability
Regime-Aware Intelligence That Filters Noise and Prioritizes High-Conviction Signals
- Challenge The VIX hedge traded often but stayed reactive, causing uneven returns, high volatility, and missed opportunities.
- Solution AI/ML with macro signals filtered 70% of low-quality days, boosting focus on clearer, high-confidence trades.
- Outcome The regime-aware upgrade improved stability, strengthened downside protection, and made the hedge more disciplined.
ML Performance Snapshot
Demandlytix’s proprietary feature architecture captured daily market dynamics and regime shifts with greater clarity, enabling sharper risk-adjusted performance and a significantly more resilient return path.
| 60% | Reduction in Max Drawdown |
| 18.14% | CAGR post ML up from -19.24% (negative needs emphasis in someway) |
| 0.97 | Sharpe post ML from -0.3 (negative needs emphasis in someway) |
| 33% | Trades taken, reduces risk |
Smarter Investing.
Made Simple.
Why chase predictions when you can play smarter?
Old Way Prediction chasing
- High costs in data, compute and infrastructure
- Complex models prone to overfitting
- Diminishing alpha as edges erode
- Costly, crowded arms race with constant risk
Our Way Smarter participation
- Clear signals on when to act or step back with probability insights
- Simple, strategy-agnostic insights using ML
- Lower risk, reduced drawdowns, improved returns via regime awareness
- Faster results delivered within weeks through ML filtering
Transparent and
Affordable Pricing
We’re so confident in our ability to improve performance that we only charge when you see results. No fees unless your fund generates returns in excess of its baseline performance using our signals. We offer simple, performance-aligned pricing designed for hedge funds and asset managers.
Starter
Free (Trial)

- Test Demandlytix on one strategy for 4 weeks
- Daily offline probability signals
- No integration required
- Pay nothing unless we outperform your baseline
Growth
Strategy
License

- Access our signals for one or more strategies
- Continuous monitoring and performance support
- Monthly fee only if performance improves
- Discounts available for multi-strategy use and long-term engagements
Premium
Fund
Partnership

- Deploy across teams, portfolios, or asset classes
- Custom calibration and model tuning
- Dedicated collaboration and support
- Tiered pricing linked to AUM and realized uplift
- Annual cap for predictable costs and budget control
We only win when you win.
No license fees unless our signals deliver measurable outperformance for your strategy.

Ready to See
Demandlytix in Action?
Schedule a personalized walkthrough with our team and discover how Demandlytix can boost your returns without changing your existing strategy or operations. See real-time insights, performance optimization, and predictive intelligence in a demo tailored to your goals.
What You’ll See in the Demo

Before & After Results
See performance boosts from our recommendations in real trading scenarios using ML enhanced signals.

Seamless Integration
Learn how Demandlytix fits into your workflow with no tech overhaul needed and minimal setup.

Proven Methodology
Understand our approach to generating high-impact trade signals with probability-based modeling.

Real-World Use Cases
Watch how we help clients reduce trade noise and boost risk-adjusted returns across different market regimes.