AI Business Software | Service
AInsight Global Stock Market Intelligence & Portfolio Agent
A professional licensed multilingual AI agent for global stock market analysis, trading signal generation, portfolio construction, quantitative risk analysis, Monte Carlo forecasting, backtesting, and investment monitoring using verified market data. Supports international equities, multiple investment risk profiles, technical and fundamental analysis, portfolio optimization, advanced risk metrics, and visual market reports.
| SKU | AI-GSMIPA-PRO | Version | 1.0.0 |
|---|---|---|---|
| Delivery | Secure digital download | License | Online activation |
AInsight Global Stock Market Intelligence & Portfolio Agent
AInsight Global Stock Market Intelligence & Portfolio Agent is a professional AI-powered investment analysis and decision-support system designed for international stock markets.
The Agent combines verified market data, technical analysis, fundamental analysis, quantitative models, portfolio optimization, risk management, and probabilistic forecasting within a structured interactive workflow.
It is designed to support investors and traders who need a disciplined analytical framework for evaluating securities, generating trading setups, constructing portfolios, measuring risk, and monitoring investment decisions.
License-First Operation
The Agent uses a mandatory license-validation workflow.
Before any market analysis can begin, the Agent checks the user's license.
Startup sequence:
License Verification
→ License Validation
→ Language Selection
→ Language Lock
→ Agent Introduction
→ Market Analysis Workflow
If the license is invalid, expired, suspended, revoked, or exceeds the permitted activation limit, the analytical engine remains locked.
Multilingual Operation
After successful license validation, the Agent displays the supported languages in English and asks the user to select one.
Supported languages:
English
Persian / فارسی
Arabic / العربية
Turkish / Türkçe
Armenian / Հայերեն
German / Deutsch
French / Français
After the user selects a language, the Agent locks the session to that language and communicates exclusively in the selected language unless the user explicitly changes it.
Global Market Analysis
The Agent can analyze supported international equity markets and instruments.
Typical supported markets may include:
NASDAQ
NYSE
London Stock Exchange
XETRA
Euronext
Toronto Stock Exchange
Tokyo Stock Exchange
Hong Kong Exchange
Other supported international exchanges
Each analysis identifies the exact:
Symbol
Exchange
Country
Currency
Timeframe
Data timestamp
Data status
Verified Market Data
The Agent is designed to work with verified external market data.
Its preferred market-data architecture uses Twelve Data or another configured professional market-data service.
The Agent does not fabricate:
Current prices
OHLC data
Indicators
Backtesting results
Monte Carlo results
If verified market data is unavailable, the Agent requests market data from the user instead of inventing values.
Technical Analysis
Technical analysis may include:
SMA 20 / 50 / 100 / 200
EMA 9 / 20 / 50 / 200
RSI
MACD
MACD Histogram
Stochastic
ROC
CCI
ADX
+DI / -DI
ATR
Bollinger Bands
Volume analysis
OBV
Market structure
Support and resistance
Breakout and breakdown zones
Multi-timeframe confirmation
Signals are not generated from a single indicator.
The Agent requires multi-factor confirmation before generating a trading setup.
Fundamental Analysis
When fundamental data is available, the Agent can evaluate:
Revenue growth
EPS growth
Free Cash Flow
Operating Margin
Net Margin
Debt
Debt / Equity
ROE
ROA
P/E
Forward P/E
PEG
Price / Sales
EV / EBITDA
Dividend Yield
Dividend Growth
Share Dilution
Cash Flow Quality
Balance Sheet Strength
Profitability Trends
The Agent generates a transparent Fundamental Score.
Trading Signal Engine
Supported analytical outcomes include:
STRONG BUY
BUY
WATCH
HOLD
REDUCE
SELL
STRONG SELL
Every signal may include:
Verified market price
Data timestamp
Timeframe
Signal
Confidence score
Entry zone
Invalidation level
Stop Loss
Target 1
Target 2
Target 3
Risk / Reward
ATR
Technical Score
Fundamental Score
Liquidity assessment
Primary reasons
Primary risks
Every signal must include an invalidation condition.
Portfolio Construction
The Agent can construct investment portfolios according to the user's capital, investment horizon, risk tolerance, drawdown limits, and market preferences.
Supported portfolio profiles:
Low Risk
Medium Risk
High Risk
Portfolio methodologies may include:
Minimum Variance
Risk Parity
Maximum Diversification
Volatility Targeting
Constrained Maximum Sharpe
Equal Weight
Factor-aware Allocation
Market-cap-aware Diversification
Portfolio construction may consider:
Individual position limits
Sector concentration
Country exposure
Currency exposure
Correlation
Volatility
Liquidity
Drawdown
Risk contribution
Monte Carlo Forecasting
The Agent supports probabilistic forecasting when adequate historical data and computational capability are available.
Supported approaches may include:
Historical Return Bootstrap
Geometric Brownian Motion
Block Bootstrap
Typical simulation count:
5,000 to 10,000+ simulations
Monte Carlo reports may include:
Mean outcome
Median outcome
5th percentile
25th percentile
75th percentile
95th percentile
Probability of loss
Probability of positive return
Probability of exceeding a target
Downside scenarios
Upside scenarios
Monte Carlo output is treated as scenario analysis, not a guaranteed prediction.
Risk Analysis
Supported risk metrics may include:
Volatility
Beta
Alpha
Sharpe Ratio
Sortino Ratio
Calmar Ratio
Maximum Drawdown
Historical VaR
Parametric VaR
Monte Carlo VaR
CVaR / Expected Shortfall
Correlation
Downside Deviation
Profit Factor
Win Rate
Expectancy
Stress Testing
Portfolio and asset stress testing may include:
Market -10%
Market -20%
Market -30%
Volatility spike
Technology-sector selloff
Energy shock
Currency shock
Interest-rate shock
Global risk-off scenario
Backtesting
The Agent can structure and evaluate trading strategies using:
Defined entry rules
Defined exit rules
Stop Loss
Take Profit
Position sizing
Timeframe
Initial capital
Transaction fees
Slippage
The framework is designed to reduce:
Look-ahead bias
Survivorship bias
Data leakage
Overfitting
Supported validation methods may include:
In-Sample
Out-of-Sample
Walk-Forward Testing
Portfolio Monitoring
Existing portfolios can be monitored for:
Current weight
Target weight
Profit / Loss
Risk contribution
Volatility contribution
Correlation
Sector exposure
Country exposure
Currency exposure
Signal status
Rebalancing requirements
Portfolio statuses may include:
KEEP
WATCH
REDUCE
REBALANCE
EXIT REVIEW
Position Sizing
Position sizing is based on portfolio risk rather than arbitrary trade size.
The Agent may calculate:
Risk Capital = Portfolio Value × Risk Per Trade
Position Size = Risk Capital ÷ |Entry Price − Stop Loss|
Position size can be reduced when:
Volatility rises
Liquidity deteriorates
Signal confidence decreases
Event risk rises
Portfolio correlation becomes excessive
Market Scanner
The Agent can screen supported international markets according to:
Liquidity
Volume
Volatility
Trend
Momentum
Technical Score
Fundamental Score
Risk / Reward
Market regime
Portfolio correlation
The system prioritizes a smaller number of higher-quality opportunities instead of producing large numbers of weak signals.
Visualization
Where supported, the Agent can generate or prepare data for:
Candlestick charts
Price and EMA charts
Bollinger Bands
RSI
MACD
Volume
Portfolio allocation pie charts
Horizontal bar charts
Stacked bar charts
Hamburger-style analytical charts
Correlation heatmaps
Risk contribution charts
Monte Carlo fan charts
Monte Carlo histograms
Drawdown charts
Portfolio equity curves
Rolling volatility
Rolling Sharpe Ratio
Sector allocation
Country allocation
Currency exposure
If the chatbot cannot render charts, the Agent provides chart-ready datasets.
Investment Decision Framework
The Agent clearly separates:
Verified facts
Model outputs
Scenarios
Trading signals
Portfolio suggestions
Forecasts are always presented with uncertainty.
The Agent does not claim guaranteed returns or risk-free investment performance.
The final investment decision remains with the user.
AInsight Global Stock Market Intelligence & Portfolio Agent is a professional AI-powered investment analysis and decision-support system designed for international stock markets.
The Agent combines verified market data, technical analysis, fundamental analysis, quantitative models, portfolio optimization, risk management, and probabilistic forecasting within a structured interactive workflow.
It is designed to support investors and traders who need a disciplined analytical framework for evaluating securities, generating trading setups, constructing portfolios, measuring risk, and monitoring investment decisions.
License-First Operation
The Agent uses a mandatory license-validation workflow.
Before any market analysis can begin, the Agent checks the user's license.
Startup sequence:
License Verification
→ License Validation
→ Language Selection
→ Language Lock
→ Agent Introduction
→ Market Analysis Workflow
If the license is invalid, expired, suspended, revoked, or exceeds the permitted activation limit, the analytical engine remains locked.
Multilingual Operation
After successful license validation, the Agent displays the supported languages in English and asks the user to select one.
Supported languages:
English
Persian / فارسی
Arabic / العربية
Turkish / Türkçe
Armenian / Հայերեն
German / Deutsch
French / Français
After the user selects a language, the Agent locks the session to that language and communicates exclusively in the selected language unless the user explicitly changes it.
Global Market Analysis
The Agent can analyze supported international equity markets and instruments.
Typical supported markets may include:
NASDAQ
NYSE
London Stock Exchange
XETRA
Euronext
Toronto Stock Exchange
Tokyo Stock Exchange
Hong Kong Exchange
Other supported international exchanges
Each analysis identifies the exact:
Symbol
Exchange
Country
Currency
Timeframe
Data timestamp
Data status
Verified Market Data
The Agent is designed to work with verified external market data.
Its preferred market-data architecture uses Twelve Data or another configured professional market-data service.
The Agent does not fabricate:
Current prices
OHLC data
Indicators
Backtesting results
Monte Carlo results
If verified market data is unavailable, the Agent requests market data from the user instead of inventing values.
Technical Analysis
Technical analysis may include:
SMA 20 / 50 / 100 / 200
EMA 9 / 20 / 50 / 200
RSI
MACD
MACD Histogram
Stochastic
ROC
CCI
ADX
+DI / -DI
ATR
Bollinger Bands
Volume analysis
OBV
Market structure
Support and resistance
Breakout and breakdown zones
Multi-timeframe confirmation
Signals are not generated from a single indicator.
The Agent requires multi-factor confirmation before generating a trading setup.
Fundamental Analysis
When fundamental data is available, the Agent can evaluate:
Revenue growth
EPS growth
Free Cash Flow
Operating Margin
Net Margin
Debt
Debt / Equity
ROE
ROA
P/E
Forward P/E
PEG
Price / Sales
EV / EBITDA
Dividend Yield
Dividend Growth
Share Dilution
Cash Flow Quality
Balance Sheet Strength
Profitability Trends
The Agent generates a transparent Fundamental Score.
Trading Signal Engine
Supported analytical outcomes include:
STRONG BUY
BUY
WATCH
HOLD
REDUCE
SELL
STRONG SELL
Every signal may include:
Verified market price
Data timestamp
Timeframe
Signal
Confidence score
Entry zone
Invalidation level
Stop Loss
Target 1
Target 2
Target 3
Risk / Reward
ATR
Technical Score
Fundamental Score
Liquidity assessment
Primary reasons
Primary risks
Every signal must include an invalidation condition.
Portfolio Construction
The Agent can construct investment portfolios according to the user's capital, investment horizon, risk tolerance, drawdown limits, and market preferences.
Supported portfolio profiles:
Low Risk
Medium Risk
High Risk
Portfolio methodologies may include:
Minimum Variance
Risk Parity
Maximum Diversification
Volatility Targeting
Constrained Maximum Sharpe
Equal Weight
Factor-aware Allocation
Market-cap-aware Diversification
Portfolio construction may consider:
Individual position limits
Sector concentration
Country exposure
Currency exposure
Correlation
Volatility
Liquidity
Drawdown
Risk contribution
Monte Carlo Forecasting
The Agent supports probabilistic forecasting when adequate historical data and computational capability are available.
Supported approaches may include:
Historical Return Bootstrap
Geometric Brownian Motion
Block Bootstrap
Typical simulation count:
5,000 to 10,000+ simulations
Monte Carlo reports may include:
Mean outcome
Median outcome
5th percentile
25th percentile
75th percentile
95th percentile
Probability of loss
Probability of positive return
Probability of exceeding a target
Downside scenarios
Upside scenarios
Monte Carlo output is treated as scenario analysis, not a guaranteed prediction.
Risk Analysis
Supported risk metrics may include:
Volatility
Beta
Alpha
Sharpe Ratio
Sortino Ratio
Calmar Ratio
Maximum Drawdown
Historical VaR
Parametric VaR
Monte Carlo VaR
CVaR / Expected Shortfall
Correlation
Downside Deviation
Profit Factor
Win Rate
Expectancy
Stress Testing
Portfolio and asset stress testing may include:
Market -10%
Market -20%
Market -30%
Volatility spike
Technology-sector selloff
Energy shock
Currency shock
Interest-rate shock
Global risk-off scenario
Backtesting
The Agent can structure and evaluate trading strategies using:
Defined entry rules
Defined exit rules
Stop Loss
Take Profit
Position sizing
Timeframe
Initial capital
Transaction fees
Slippage
The framework is designed to reduce:
Look-ahead bias
Survivorship bias
Data leakage
Overfitting
Supported validation methods may include:
In-Sample
Out-of-Sample
Walk-Forward Testing
Portfolio Monitoring
Existing portfolios can be monitored for:
Current weight
Target weight
Profit / Loss
Risk contribution
Volatility contribution
Correlation
Sector exposure
Country exposure
Currency exposure
Signal status
Rebalancing requirements
Portfolio statuses may include:
KEEP
WATCH
REDUCE
REBALANCE
EXIT REVIEW
Position Sizing
Position sizing is based on portfolio risk rather than arbitrary trade size.
The Agent may calculate:
Risk Capital = Portfolio Value × Risk Per Trade
Position Size = Risk Capital ÷ |Entry Price − Stop Loss|
Position size can be reduced when:
Volatility rises
Liquidity deteriorates
Signal confidence decreases
Event risk rises
Portfolio correlation becomes excessive
Market Scanner
The Agent can screen supported international markets according to:
Liquidity
Volume
Volatility
Trend
Momentum
Technical Score
Fundamental Score
Risk / Reward
Market regime
Portfolio correlation
The system prioritizes a smaller number of higher-quality opportunities instead of producing large numbers of weak signals.
Visualization
Where supported, the Agent can generate or prepare data for:
Candlestick charts
Price and EMA charts
Bollinger Bands
RSI
MACD
Volume
Portfolio allocation pie charts
Horizontal bar charts
Stacked bar charts
Hamburger-style analytical charts
Correlation heatmaps
Risk contribution charts
Monte Carlo fan charts
Monte Carlo histograms
Drawdown charts
Portfolio equity curves
Rolling volatility
Rolling Sharpe Ratio
Sector allocation
Country allocation
Currency exposure
If the chatbot cannot render charts, the Agent provides chart-ready datasets.
Investment Decision Framework
The Agent clearly separates:
Verified facts
Model outputs
Scenarios
Trading signals
Portfolio suggestions
Forecasts are always presented with uncertainty.
The Agent does not claim guaranteed returns or risk-free investment performance.
The final investment decision remains with the user.
Choose License Plan
| License Plan | Activations | Term | Support | Updates | Downloads | Price | Order |
|---|---|---|---|---|---|---|---|
| Professional AnnualSingle · Annual · 7 day trial | 11 staging | Annual | 365 days | 365 days | 20 | 149.00 USD | Sign in to buy |
Product Description
AInsight Global Stock Market Intelligence & Portfolio Agent
AInsight Global Stock Market Intelligence & Portfolio Agent is a professional AI-powered investment analysis and decision-support system designed for international stock markets.
The Agent combines verified market data, technical analysis, fundamental analysis, quantitative models, portfolio optimization, risk management, and probabilistic forecasting within a structured interactive workflow.
It is designed to support investors and traders who need a disciplined analytical framework for evaluating securities, generating trading setups, constructing portfolios, measuring risk, and monitoring investment decisions.
License-First Operation
The Agent uses a mandatory license-validation workflow.
Before any market analysis can begin, the Agent checks the user's license.
Startup sequence:
License Verification
→ License Validation
→ Language Selection
→ Language Lock
→ Agent Introduction
→ Market Analysis Workflow
If the license is invalid, expired, suspended, revoked, or exceeds the permitted activation limit, the analytical engine remains locked.
Multilingual Operation
After successful license validation, the Agent displays the supported languages in English and asks the user to select one.
Supported languages:
English
Persian / فارسی
Arabic / العربية
Turkish / Türkçe
Armenian / Հայերեն
German / Deutsch
French / Français
After the user selects a language, the Agent locks the session to that language and communicates exclusively in the selected language unless the user explicitly changes it.
Global Market Analysis
The Agent can analyze supported international equity markets and instruments.
Typical supported markets may include:
NASDAQ
NYSE
London Stock Exchange
XETRA
Euronext
Toronto Stock Exchange
Tokyo Stock Exchange
Hong Kong Exchange
Other supported international exchanges
Each analysis identifies the exact:
Symbol
Exchange
Country
Currency
Timeframe
Data timestamp
Data status
Verified Market Data
The Agent is designed to work with verified external market data.
Its preferred market-data architecture uses Twelve Data or another configured professional market-data service.
The Agent does not fabricate:
Current prices
OHLC data
Indicators
Backtesting results
Monte Carlo results
If verified market data is unavailable, the Agent requests market data from the user instead of inventing values.
Technical Analysis
Technical analysis may include:
SMA 20 / 50 / 100 / 200
EMA 9 / 20 / 50 / 200
RSI
MACD
MACD Histogram
Stochastic
ROC
CCI
ADX
+DI / -DI
ATR
Bollinger Bands
Volume analysis
OBV
Market structure
Support and resistance
Breakout and breakdown zones
Multi-timeframe confirmation
Signals are not generated from a single indicator.
The Agent requires multi-factor confirmation before generating a trading setup.
Fundamental Analysis
When fundamental data is available, the Agent can evaluate:
Revenue growth
EPS growth
Free Cash Flow
Operating Margin
Net Margin
Debt
Debt / Equity
ROE
ROA
P/E
Forward P/E
PEG
Price / Sales
EV / EBITDA
Dividend Yield
Dividend Growth
Share Dilution
Cash Flow Quality
Balance Sheet Strength
Profitability Trends
The Agent generates a transparent Fundamental Score.
Trading Signal Engine
Supported analytical outcomes include:
STRONG BUY
BUY
WATCH
HOLD
REDUCE
SELL
STRONG SELL
Every signal may include:
Verified market price
Data timestamp
Timeframe
Signal
Confidence score
Entry zone
Invalidation level
Stop Loss
Target 1
Target 2
Target 3
Risk / Reward
ATR
Technical Score
Fundamental Score
Liquidity assessment
Primary reasons
Primary risks
Every signal must include an invalidation condition.
Portfolio Construction
The Agent can construct investment portfolios according to the user's capital, investment horizon, risk tolerance, drawdown limits, and market preferences.
Supported portfolio profiles:
Low Risk
Medium Risk
High Risk
Portfolio methodologies may include:
Minimum Variance
Risk Parity
Maximum Diversification
Volatility Targeting
Constrained Maximum Sharpe
Equal Weight
Factor-aware Allocation
Market-cap-aware Diversification
Portfolio construction may consider:
Individual position limits
Sector concentration
Country exposure
Currency exposure
Correlation
Volatility
Liquidity
Drawdown
Risk contribution
Monte Carlo Forecasting
The Agent supports probabilistic forecasting when adequate historical data and computational capability are available.
Supported approaches may include:
Historical Return Bootstrap
Geometric Brownian Motion
Block Bootstrap
Typical simulation count:
5,000 to 10,000+ simulations
Monte Carlo reports may include:
Mean outcome
Median outcome
5th percentile
25th percentile
75th percentile
95th percentile
Probability of loss
Probability of positive return
Probability of exceeding a target
Downside scenarios
Upside scenarios
Monte Carlo output is treated as scenario analysis, not a guaranteed prediction.
Risk Analysis
Supported risk metrics may include:
Volatility
Beta
Alpha
Sharpe Ratio
Sortino Ratio
Calmar Ratio
Maximum Drawdown
Historical VaR
Parametric VaR
Monte Carlo VaR
CVaR / Expected Shortfall
Correlation
Downside Deviation
Profit Factor
Win Rate
Expectancy
Stress Testing
Portfolio and asset stress testing may include:
Market -10%
Market -20%
Market -30%
Volatility spike
Technology-sector selloff
Energy shock
Currency shock
Interest-rate shock
Global risk-off scenario
Backtesting
The Agent can structure and evaluate trading strategies using:
Defined entry rules
Defined exit rules
Stop Loss
Take Profit
Position sizing
Timeframe
Initial capital
Transaction fees
Slippage
The framework is designed to reduce:
Look-ahead bias
Survivorship bias
Data leakage
Overfitting
Supported validation methods may include:
In-Sample
Out-of-Sample
Walk-Forward Testing
Portfolio Monitoring
Existing portfolios can be monitored for:
Current weight
Target weight
Profit / Loss
Risk contribution
Volatility contribution
Correlation
Sector exposure
Country exposure
Currency exposure
Signal status
Rebalancing requirements
Portfolio statuses may include:
KEEP
WATCH
REDUCE
REBALANCE
EXIT REVIEW
Position Sizing
Position sizing is based on portfolio risk rather than arbitrary trade size.
The Agent may calculate:
Risk Capital = Portfolio Value × Risk Per Trade
Position Size = Risk Capital ÷ |Entry Price − Stop Loss|
Position size can be reduced when:
Volatility rises
Liquidity deteriorates
Signal confidence decreases
Event risk rises
Portfolio correlation becomes excessive
Market Scanner
The Agent can screen supported international markets according to:
Liquidity
Volume
Volatility
Trend
Momentum
Technical Score
Fundamental Score
Risk / Reward
Market regime
Portfolio correlation
The system prioritizes a smaller number of higher-quality opportunities instead of producing large numbers of weak signals.
Visualization
Where supported, the Agent can generate or prepare data for:
Candlestick charts
Price and EMA charts
Bollinger Bands
RSI
MACD
Volume
Portfolio allocation pie charts
Horizontal bar charts
Stacked bar charts
Hamburger-style analytical charts
Correlation heatmaps
Risk contribution charts
Monte Carlo fan charts
Monte Carlo histograms
Drawdown charts
Portfolio equity curves
Rolling volatility
Rolling Sharpe Ratio
Sector allocation
Country allocation
Currency exposure
If the chatbot cannot render charts, the Agent provides chart-ready datasets.
Investment Decision Framework
The Agent clearly separates:
Verified facts
Model outputs
Scenarios
Trading signals
Portfolio suggestions
Forecasts are always presented with uncertainty.
The Agent does not claim guaranteed returns or risk-free investment performance.
The final investment decision remains with the user.
AInsight Global Stock Market Intelligence & Portfolio Agent is a professional AI-powered investment analysis and decision-support system designed for international stock markets.
The Agent combines verified market data, technical analysis, fundamental analysis, quantitative models, portfolio optimization, risk management, and probabilistic forecasting within a structured interactive workflow.
It is designed to support investors and traders who need a disciplined analytical framework for evaluating securities, generating trading setups, constructing portfolios, measuring risk, and monitoring investment decisions.
License-First Operation
The Agent uses a mandatory license-validation workflow.
Before any market analysis can begin, the Agent checks the user's license.
Startup sequence:
License Verification
→ License Validation
→ Language Selection
→ Language Lock
→ Agent Introduction
→ Market Analysis Workflow
If the license is invalid, expired, suspended, revoked, or exceeds the permitted activation limit, the analytical engine remains locked.
Multilingual Operation
After successful license validation, the Agent displays the supported languages in English and asks the user to select one.
Supported languages:
English
Persian / فارسی
Arabic / العربية
Turkish / Türkçe
Armenian / Հայերեն
German / Deutsch
French / Français
After the user selects a language, the Agent locks the session to that language and communicates exclusively in the selected language unless the user explicitly changes it.
Global Market Analysis
The Agent can analyze supported international equity markets and instruments.
Typical supported markets may include:
NASDAQ
NYSE
London Stock Exchange
XETRA
Euronext
Toronto Stock Exchange
Tokyo Stock Exchange
Hong Kong Exchange
Other supported international exchanges
Each analysis identifies the exact:
Symbol
Exchange
Country
Currency
Timeframe
Data timestamp
Data status
Verified Market Data
The Agent is designed to work with verified external market data.
Its preferred market-data architecture uses Twelve Data or another configured professional market-data service.
The Agent does not fabricate:
Current prices
OHLC data
Indicators
Backtesting results
Monte Carlo results
If verified market data is unavailable, the Agent requests market data from the user instead of inventing values.
Technical Analysis
Technical analysis may include:
SMA 20 / 50 / 100 / 200
EMA 9 / 20 / 50 / 200
RSI
MACD
MACD Histogram
Stochastic
ROC
CCI
ADX
+DI / -DI
ATR
Bollinger Bands
Volume analysis
OBV
Market structure
Support and resistance
Breakout and breakdown zones
Multi-timeframe confirmation
Signals are not generated from a single indicator.
The Agent requires multi-factor confirmation before generating a trading setup.
Fundamental Analysis
When fundamental data is available, the Agent can evaluate:
Revenue growth
EPS growth
Free Cash Flow
Operating Margin
Net Margin
Debt
Debt / Equity
ROE
ROA
P/E
Forward P/E
PEG
Price / Sales
EV / EBITDA
Dividend Yield
Dividend Growth
Share Dilution
Cash Flow Quality
Balance Sheet Strength
Profitability Trends
The Agent generates a transparent Fundamental Score.
Trading Signal Engine
Supported analytical outcomes include:
STRONG BUY
BUY
WATCH
HOLD
REDUCE
SELL
STRONG SELL
Every signal may include:
Verified market price
Data timestamp
Timeframe
Signal
Confidence score
Entry zone
Invalidation level
Stop Loss
Target 1
Target 2
Target 3
Risk / Reward
ATR
Technical Score
Fundamental Score
Liquidity assessment
Primary reasons
Primary risks
Every signal must include an invalidation condition.
Portfolio Construction
The Agent can construct investment portfolios according to the user's capital, investment horizon, risk tolerance, drawdown limits, and market preferences.
Supported portfolio profiles:
Low Risk
Medium Risk
High Risk
Portfolio methodologies may include:
Minimum Variance
Risk Parity
Maximum Diversification
Volatility Targeting
Constrained Maximum Sharpe
Equal Weight
Factor-aware Allocation
Market-cap-aware Diversification
Portfolio construction may consider:
Individual position limits
Sector concentration
Country exposure
Currency exposure
Correlation
Volatility
Liquidity
Drawdown
Risk contribution
Monte Carlo Forecasting
The Agent supports probabilistic forecasting when adequate historical data and computational capability are available.
Supported approaches may include:
Historical Return Bootstrap
Geometric Brownian Motion
Block Bootstrap
Typical simulation count:
5,000 to 10,000+ simulations
Monte Carlo reports may include:
Mean outcome
Median outcome
5th percentile
25th percentile
75th percentile
95th percentile
Probability of loss
Probability of positive return
Probability of exceeding a target
Downside scenarios
Upside scenarios
Monte Carlo output is treated as scenario analysis, not a guaranteed prediction.
Risk Analysis
Supported risk metrics may include:
Volatility
Beta
Alpha
Sharpe Ratio
Sortino Ratio
Calmar Ratio
Maximum Drawdown
Historical VaR
Parametric VaR
Monte Carlo VaR
CVaR / Expected Shortfall
Correlation
Downside Deviation
Profit Factor
Win Rate
Expectancy
Stress Testing
Portfolio and asset stress testing may include:
Market -10%
Market -20%
Market -30%
Volatility spike
Technology-sector selloff
Energy shock
Currency shock
Interest-rate shock
Global risk-off scenario
Backtesting
The Agent can structure and evaluate trading strategies using:
Defined entry rules
Defined exit rules
Stop Loss
Take Profit
Position sizing
Timeframe
Initial capital
Transaction fees
Slippage
The framework is designed to reduce:
Look-ahead bias
Survivorship bias
Data leakage
Overfitting
Supported validation methods may include:
In-Sample
Out-of-Sample
Walk-Forward Testing
Portfolio Monitoring
Existing portfolios can be monitored for:
Current weight
Target weight
Profit / Loss
Risk contribution
Volatility contribution
Correlation
Sector exposure
Country exposure
Currency exposure
Signal status
Rebalancing requirements
Portfolio statuses may include:
KEEP
WATCH
REDUCE
REBALANCE
EXIT REVIEW
Position Sizing
Position sizing is based on portfolio risk rather than arbitrary trade size.
The Agent may calculate:
Risk Capital = Portfolio Value × Risk Per Trade
Position Size = Risk Capital ÷ |Entry Price − Stop Loss|
Position size can be reduced when:
Volatility rises
Liquidity deteriorates
Signal confidence decreases
Event risk rises
Portfolio correlation becomes excessive
Market Scanner
The Agent can screen supported international markets according to:
Liquidity
Volume
Volatility
Trend
Momentum
Technical Score
Fundamental Score
Risk / Reward
Market regime
Portfolio correlation
The system prioritizes a smaller number of higher-quality opportunities instead of producing large numbers of weak signals.
Visualization
Where supported, the Agent can generate or prepare data for:
Candlestick charts
Price and EMA charts
Bollinger Bands
RSI
MACD
Volume
Portfolio allocation pie charts
Horizontal bar charts
Stacked bar charts
Hamburger-style analytical charts
Correlation heatmaps
Risk contribution charts
Monte Carlo fan charts
Monte Carlo histograms
Drawdown charts
Portfolio equity curves
Rolling volatility
Rolling Sharpe Ratio
Sector allocation
Country allocation
Currency exposure
If the chatbot cannot render charts, the Agent provides chart-ready datasets.
Investment Decision Framework
The Agent clearly separates:
Verified facts
Model outputs
Scenarios
Trading signals
Portfolio suggestions
Forecasts are always presented with uncertainty.
The Agent does not claim guaranteed returns or risk-free investment performance.
The final investment decision remains with the user.
System Requirements
User Requirements
Valid AInsight product license
Internet connection for license validation
Access to a supported AI chatbot or compatible AI environment
Access to verified market data
Supported market-data API when live analysis is required
Recommended Market Data
Preferred:
Twelve Data API
or another configured professional market-data provider.
Recommended Environment
Modern desktop or laptop
Modern web browser
Stable internet connection
AI chatbot supporting long prompts and structured reasoning
Optional Advanced Requirements
For advanced quantitative functions:
Python-capable execution environment
Statistical computation capability
Chart-rendering capability
API/Web access
Historical OHLC datasets
License
A valid license must be verified before Agent execution.
The Agent must remain locked when the license is:
INVALID
EXPIRED
SUSPENDED
REVOKED
DEVICE_LIMIT
SUBSCRIPTION_ENDED
Important
Market-data provider subscriptions, exchange permissions, and data redistribution rights are not automatically included with the Agent license.
Users must comply with applicable market-data provider and exchange terms.
Valid AInsight product license
Internet connection for license validation
Access to a supported AI chatbot or compatible AI environment
Access to verified market data
Supported market-data API when live analysis is required
Recommended Market Data
Preferred:
Twelve Data API
or another configured professional market-data provider.
Recommended Environment
Modern desktop or laptop
Modern web browser
Stable internet connection
AI chatbot supporting long prompts and structured reasoning
Optional Advanced Requirements
For advanced quantitative functions:
Python-capable execution environment
Statistical computation capability
Chart-rendering capability
API/Web access
Historical OHLC datasets
License
A valid license must be verified before Agent execution.
The Agent must remain locked when the license is:
INVALID
EXPIRED
SUSPENDED
REVOKED
DEVICE_LIMIT
SUBSCRIPTION_ENDED
Important
Market-data provider subscriptions, exchange permissions, and data redistribution rights are not automatically included with the Agent license.
Users must comply with applicable market-data provider and exchange terms.
Verified Buyer Reviews
No published reviews yet.
Changelog
Initial stable release of AInsight Global Stock Market Intelligence & Portfolio Agent.
Included in this release:
Mandatory license validation before Agent startup
Online license verification workflow
Multilingual language selection after successful license validation
Language Lock for:
English
Persian
Arabic
Turkish
Armenian
German
French
Global stock market analysis
Verified market-data workflow
Twelve Data integration architecture
Technical analysis engine
Fundamental analysis engine
Multi-timeframe analysis
Trading signal generation
Entry, Stop Loss and Take Profit framework
Signal confidence scoring
Signal invalidation rules
Position sizing and risk management
Low-risk portfolio construction
Medium-risk portfolio construction
High-risk portfolio construction
Minimum Variance optimization
Risk Parity
Maximum Diversification
Volatility Targeting
Constrained Maximum Sharpe framework
Correlation analysis
Monte Carlo simulation framework
Historical Bootstrap
Geometric Brownian Motion
Block Bootstrap
VaR and CVaR analysis
Stress testing
Drawdown analysis
Backtesting framework
Walk-Forward validation support
Portfolio monitoring
Portfolio rebalancing analysis
International currency exposure analysis
Market scanner
Trade-status tracking
Chart and visualization framework
Hamburger-style analytical visualization
Monte Carlo fan-chart support
Chart-data fallback for chatbots without native chart rendering
Data-quality validation
Source and timestamp transparency
Uncertainty and scenario-analysis rules
Anti-fabrication rules for market prices, indicators, simulations and backtests
Included in this release:
Mandatory license validation before Agent startup
Online license verification workflow
Multilingual language selection after successful license validation
Language Lock for:
English
Persian
Arabic
Turkish
Armenian
German
French
Global stock market analysis
Verified market-data workflow
Twelve Data integration architecture
Technical analysis engine
Fundamental analysis engine
Multi-timeframe analysis
Trading signal generation
Entry, Stop Loss and Take Profit framework
Signal confidence scoring
Signal invalidation rules
Position sizing and risk management
Low-risk portfolio construction
Medium-risk portfolio construction
High-risk portfolio construction
Minimum Variance optimization
Risk Parity
Maximum Diversification
Volatility Targeting
Constrained Maximum Sharpe framework
Correlation analysis
Monte Carlo simulation framework
Historical Bootstrap
Geometric Brownian Motion
Block Bootstrap
VaR and CVaR analysis
Stress testing
Drawdown analysis
Backtesting framework
Walk-Forward validation support
Portfolio monitoring
Portfolio rebalancing analysis
International currency exposure analysis
Market scanner
Trade-status tracking
Chart and visualization framework
Hamburger-style analytical visualization
Monte Carlo fan-chart support
Chart-data fallback for chatbots without native chart rendering
Data-quality validation
Source and timestamp transparency
Uncertainty and scenario-analysis rules
Anti-fabrication rules for market prices, indicators, simulations and backtests