Platform TS0 Protocol MC Models Use Cases AI Agents Pricing Documentation
AI Driven
Models Execute Automatically
Biweekly Updates
Dynamic Algorithm Management
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AI-Driven Automated Trading

Experience true AI automation with our self-executing models that adapt and optimize biweekly. No manual intervention required - just pure algorithmic intelligence.

AI
AI analyzes market data
GEN
Generates recommendations
HUM
Human reviews & decides
EXE
AI executes approved actions
78%
Annual Return
2024 Performance
24/7
Automated
Zero Downtime
14
Days Cycle
Algorithm Updates

AI Agent Driven Operations

LLM AI Model Agents handle 95% of analytical workload while humans retain strategic control over critical decision points.

95% AI Automation
5% Human Oversight
Learn More About AI Agents
QuantAI Model Series Demo

Fully Automated AI Intelligence

Our advanced AI models operate completely autonomously, executing trades and optimizing strategies with zero human intervention.

Automated
AI

AI-Driven Automation

Models execute trades automatically based on real-time market analysis. No manual oversight required - pure AI decision-making at scale.

Biweekly
UPD

Dynamic Management

Algorithms are updated and optimized every two weeks, ensuring peak performance and adaptation to changing market conditions.

Real-time
EXE

Instant Execution

Millisecond response times with automated job scheduling. AI models process market data and execute strategies without delay.

Adaptive
ML

Self-Learning Systems

Neural networks continuously improve performance through reinforcement learning and pattern recognition algorithms.

Autonomous
RSK

Automated Risk Control

Built-in risk management that operates 24/7 with automated stop-loss, position sizing, and portfolio rebalancing.

Continuous
TRK

Live Performance Tracking

Real-time monitoring of automated strategies with instant alerts and performance optimization recommendations.

Advanced MC Valuation Models

Our proprietary MC series models provide sophisticated automated valuation with continuous learning and adaptation.

MC

MC Fixed Valuation

Automated baseline model

Core formula: MC = Σ(Xᵢ × Sᵢ* × Wᵢ) with automated sentiment normalization and real-time data processing.

  • Automated 10-K/10-Q data extraction
  • Real-time sentiment analysis
  • Instant valuation calculations
  • Zero manual intervention required
MC1

MC1 Path-Based

Success/failure probability modeling

Advanced path modeling with automated success/failure probability calculations and dynamic risk assessment.

  • Automated probability calculations
  • Dynamic path optimization
  • Real-time risk assessment
  • Biweekly model recalibration
MCR

MCR Reinforcement Learning

Self-improving AI system

AI that learns from historical performance with automated weight adjustments and continuous strategy optimization.

  • Automated reinforcement learning
  • Self-adjusting model weights
  • Continuous performance optimization
  • Predictive error minimization

Automated Trading Applications

See how our AI automation transforms traditional trading across multiple financial sectors.

Automated Algorithmic Trading

High-frequency strategies that execute automatically with biweekly optimization cycles and zero downtime.

Dynamic Portfolio Management

AI-driven rebalancing with automated risk adjustment based on real-time market conditions and volatility.

Predictive Risk Assessment

Automated credit scoring with continuous model updates and real-time default probability calculations.

Market Prediction Engine

Neural networks that automatically process sentiment, technical indicators, and macro data for forecasting.

Automated Options Strategy

AI-powered options pricing with dynamic hedging strategies that adapt to market volatility automatically.

Regulatory Compliance AI

Automated reporting and stress testing that updates biweekly to ensure continuous regulatory compliance.

TS0 Protocol v2.0

Advanced tax-optimized portfolio trimming strategy integrated with our MC model series for intelligent position management.

TS0

Trade Strategy 0 Execution Protocol

Final Model-Aligned Version

A tax-optimized portfolio trimming strategy that determines optimal share quantities (X) to sell while preserving remaining positions (N − X) for long-term capital gains and valuation-aligned upside.

1

Analyze Account Trade History

Decompose positions into distinct lots with acquisition dates, quantities, cost basis, and holding duration analysis.

2

Apply MC Model Series

Integrate MC sentiment-weighted valuation, MC1 path modeling, and MCR reinforcement learning.

3

Derive Optimal Quantity X

Target short-term holdings with low risk-adjusted returns and overvalued segments per MC/MC1 analysis.

4

Preserve (N − X) Residual Position

Maintain positions with low cost basis, near long-term thresholds, aligned with MC/MCR upside.

Protocol Commands

TS0 TICKER Run full TS0 protocol
TS0 TICKER +sellticket Generate execution instruction
TS0 TICKER +covered Attach covered call strategy
TS0 TICKER +reminder Create long-term unlock reminder

Decision Matrix

Sell X
Tax-efficient risk reduction, cash realization
Hold N−X
Optimized long-term value retention
Sell All
Degrades tax efficiency, sacrifices long-term return
!

Protocol Warning

Do NOT sell beyond model-determined quantity (X). Target: hold through 12+ months for tax optimization (24% → 15% reduction).

TS0 Protocol v2.0

Advanced tax-optimized portfolio trimming strategy integrated with our MC model series for intelligent position management.

TS0

Trade Strategy 0 Execution Protocol

Final Model-Aligned Version

A tax-optimized portfolio trimming strategy that determines optimal share quantities (X) to sell while preserving remaining positions (N − X) for long-term capital gains and valuation-aligned upside.

1

Analyze Account Trade History

Decompose positions into distinct lots with acquisition dates, quantities, cost basis, and holding duration analysis.

2

Apply MC Model Series

Integrate MC sentiment-weighted valuation, MC1 path modeling, and MCR reinforcement learning.

3

Derive Optimal Quantity X

Target short-term holdings with low risk-adjusted returns and overvalued segments per MC/MC1 analysis.

4

Preserve (N − X) Residual Position

Maintain positions with low cost basis, near long-term thresholds, aligned with MC/MCR upside.

Protocol Commands

TS0 TICKER Run full TS0 protocol
TS0 TICKER +sellticket Generate execution instruction
TS0 TICKER +covered Attach covered call strategy
TS0 TICKER +reminder Create long-term unlock reminder

Decision Matrix

Sell X
Tax-efficient risk reduction, cash realization
Hold N−X
Optimized long-term value retention
Sell All
Degrades tax efficiency, sacrifices long-term return
⚠️

Protocol Warning

Do NOT sell beyond model-determined quantity (X). Target: hold through 12+ months for tax optimization (24% → 15% reduction).

AI Agent Driven Operations

Advanced LLM AI Model Agents handle complex analysis and execution while preserving critical human decision-making oversight.

AI

Human-AI Collaborative Intelligence

LLM Agents + Human Oversight = Optimal Decisions

Our LLM AI Model Agents handle 95% of analytical workload while humans retain strategic control over critical decision points, creating the perfect balance of efficiency and oversight.

AI Agent Responsibilities (95%)

DATA
Data Processing & Analysis

Real-time market data ingestion, sentiment analysis, and pattern recognition across multiple data sources

CALC
Model Execution & Calculations

Run MC/MC1/MCR models, perform complex mathematical computations, and generate valuation reports

OPT
Strategy Optimization

Continuous strategy refinement, risk assessment, and performance optimization based on historical data

RPT
Report Generation

Automated creation of detailed analysis reports, trade recommendations, and compliance documentation

Human Decision Points (5%)

STRAT
Strategic Direction

Set overall investment goals, risk tolerance, and portfolio allocation strategies

APPR
Execution Approval

Final approval for high-value trades, major position changes, and strategic pivots

RISK
Risk Override

Manual intervention during market anomalies, black swan events, or unusual circumstances

TUNE
Model Calibration

Adjust AI parameters, set confidence thresholds, and fine-tune algorithmic behavior

Collaborative Advantages

FAST
95% Efficiency Gain

AI handles routine analysis, freeing humans for strategic thinking

SAFE
Human Safety Net

Critical decisions always require human approval and oversight

LEARN
Continuous Learning

AI learns from human decisions to improve future recommendations

BAL
Optimal Balance

Best of both worlds: AI speed with human wisdom and intuition

AI
AI analyzes market data
GEN
Generates recommendations
HUM
Human reviews & decides
EXE
AI executes approved actions

Ready for True AI Automation?

Join institutions already benefiting from our fully automated AI systems. No manual intervention, just pure algorithmic performance.