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Research and validation

Prumora Quant Lab

Prumora Quant Lab

Systematic research for markets where improvisation is not enough.

Prumora develops independent systems for quantitative research, allocation decision support, and experimental execution across equities, ETFs, and crypto assets. Each initiative maintains isolated capital, strategies, data, and risk controls.

01AI TraderValidation — Paper Trading02Dividend TraderIn development — Decision Support03Momentum CryptoExperimental Research — Isolated Risk

Three systems, three mandates

The actual stage of each initiative.

The systems do not share the same autonomy or risk profile. Each one has a distinct objective, decision flow, and explicit operating boundary.

01

US equities and ETFs

AI Trader

Validation — Paper Trading

Systematic research for US equities and ETFs.

AI Trader combines market data, scoring models, and risk controls to research strategies across US equities and ETFs. It applies volatility-aware position sizing, tracks orders and outcomes, and maintains a traceable operational ledger. It currently operates in paper trading, with dashboard and Telegram monitoring used to validate execution, costs, reconciliation, and strategy behavior before any real-capital deployment.

  1. 01Data
  2. 02Signals
  3. 03Evaluation
  4. 04Risk
  5. 05Execution
  6. 06Reconciliation
  • Opportunity research and ranking
  • Risk, volatility, and ATR-aware position sizing
  • Stops and operational controls
  • Integration with the broker simulation environment
  • Dashboard, Telegram, and execution reports
  • Operational ledger and reconciliation
02

US income allocation

Dividend Trader

In development — Decision Support

Allocation intelligence for income, dividends, and long-term portfolio building.

Dividend Trader is a conservative decision-support system for allocating new capital across US-listed income and dividend assets. Rather than evaluating each asset in isolation, it considers the existing portfolio, concentration, expected income, taxes, liquidity, drawdown risk, and currency exposure. Alternatives are compared against cash and short-term Treasury exposure, while the final decision and execution remain under human control.

  1. 01Portfolio
  2. 02Alternatives
  3. 03Comparison
  4. 04Explanation
  5. 05Human approval
  • Existing portfolio and concentration analysis
  • New-capital allocation planning
  • Comparison with cash and short-term Treasuries
  • Estimated net income and taxation
  • Dividend calendar
  • Buy and rejection explanations
  • Reports and manual Telegram approvals
03

Crypto markets

Momentum Crypto

Experimental Research — Isolated Risk

Directional research and experimental execution in crypto markets.

Momentum Crypto continuously monitors crypto markets for short-lived directional movements. It combines momentum, order-flow context, volatility expansion, and liquidity conditions to rank opportunities and maintain an operational hotlist. Execution takes place within strict boundaries, including isolated capital, maximum position sizing, stop controls, exit targets, and drawdown circuit breakers.

  1. 01Scanner
  2. 02Ranking
  3. 03Hotlist
  4. 04Risk
  5. 05Experimental execution
  6. 06Attribution
  • Continuous scanner and asset ranking
  • Momentum, flow, and volatility signals
  • Operational hotlist
  • Stops, targets, and partial exits
  • Circuit breakers and capital isolation
  • Ledger and P&L attribution
  • Telegram operational cockpit

Operations and control

Shared observability. Isolated mandates.

Telegram, dashboards, and reports form a control layer for signals, decisions, positions, risk, reconciliation, and emergency commands.

Observe

  • Signals and events
  • Hotlists and candidates
  • Positions and exposure
  • Drawdown and outcomes

Decide

  • Manual approvals
  • Traceable explanations
  • Execution receipts
  • Daily reports

Interrupt

  • Operational pause
  • Kill switch
  • Per-strategy limits
  • History and audit

Telegram operates as an operational cockpit, not as a tips bot.

Research scope

These systems are private research and engineering initiatives. They do not constitute investment advice. They do not manage third-party assets or promise results or returns. Strategies, backtests, and automation remain subject to market, data, model, liquidity, and execution risk.

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