Research Infrastructure
Backtesting, data ingestion, experiment tracking, signal libraries, and reproducible research workflows.
Quant research / automation / decision infrastructure
Publishing market intelligence and building quant systems for serious operators.
Monte Markov is an independent research and systems studio for data-driven teams. I publish findings, build dashboards, and design automation workflows that turn fragmented signals into usable decisions.
4
system tracks
24/7
monitoring mindset
API
first workflows
research-console
Signal quality
0.78 Regime-adjusted scoreData latency
12s Pipeline healthingest macro calendar normalized
model volatility regime updated
alert spread compression threshold hit
market microstructure
forecasting
n8n automation
risk dashboards
synthetic data
prediction markets
factor research
agent workflows
Solutions
Four ways Monte Markov can help.
Market Intelligence
Dashboards for monitoring assets, regimes, anomalies, macro events, liquidity, and model outputs.
Automation Systems
n8n workflows, data pipelines, reporting bots, alerts, AI analysis agents, and tool integrations.
Decision Support
Scenario models, risk views, portfolio diagnostics, and explainable reports for operators and investors.
Research
Publish the work, not just the pitch.
Monte Markov should feel like a live research desk: findings, notes, dashboards, videos, and build logs.
From raw market feeds to decision dashboards
A practical breakdown of a research pipeline: ingestion, cleaning, signal calculation, regime tagging, alerting, and human-readable reporting.
Commission a similar systemHow to evaluate a trading signal before trusting it
Building an automated macro watchlist with n8n
Volatility regime monitor for crypto and equities
Work
Prototype systems you can show before you have case studies.
Early public work can be synthetic, anonymized, or demo-based. The point is to prove taste, reasoning, and implementation quality.
Dashboard
Market Regime Monitor
Cross-asset watchlist with volatility state, trend pressure, liquidity notes, and event overlays.
Automation
Research Brief Generator
Daily pipeline that collects market data, summarizes changes, and drafts a morning note.
Quant
Signal Validation Lab
Backtest and diagnostics view for factor behavior, turnover, drawdown, and out-of-sample decay.
Build in public
A credible studio can show its operating system.
Inspired by transparency sections, but adapted for a freelance quant practice: publish progress, methods, and sample outputs.
Ideas tracked across macro, crypto, synthetic data, and automation.
Public prototypes for dashboards, workflows, and research infrastructure.
Short notes first, deeper articles when a system or finding is mature.
Company
Monte Markov is a quant systems studio.
The studio exists to connect research, engineering, and automation. It is built for clients who need someone who can reason about markets and data, then turn that reasoning into practical systems.
01
Show the work through research, dashboards, and demos.
02
Prefer useful systems over decorative analytics.
03
Keep claims precise, testable, and professionally conservative.
FAQ
Is Monte Markov a fund?
No. The first version should present Monte Markov as an independent quant research and systems studio, not a fund or broker.
What kind of freelance work fits?
Research dashboards, data pipelines, automation workflows, signal validation, reporting systems, and market intelligence tools.
Where do blog posts and videos live?
The Research section becomes the publishing hub. Later it can be powered by MDX in Next.js so posts can contain charts and live components.
Contact