VIX: -- | VIX 9D: -- | VIX 3M: -- | VIX 6M: -- | AAII BULL: -- | AAII BEAR: -- | FEAR & GREED: -- | S&P Put/Call (Vol): -- /// VIX: -- | VIX 9D: -- | VIX 3M: -- | VIX 6M: -- | AAII BULL: -- | AAII BEAR: -- | FEAR & GREED: -- | S&P Put/Call (Vol): -- ///
MAMKARA
PSYCHE SIGNAL ATTRIBUTION FLOW CONVICTION TILT YIELD
THE DIAGNOSTIC MIRROR FOR TRADERS

YOUR TRADES REVEAL YOUR MIND.
YOUR BODY REVEALS THE TRUTH.

AI-Driven Behavioral Finance. Bridging human psychology with quantitative precision for superior decision making.
ONYX+ Bio-Intelligence Platform
Private Beta: Q2 2026
HARDWARE / BIOMETRIC INTELLIGENCE
ONYX+
Bio-Intelligence Platform
Real-Time Trading Emotions • Live Biometric Monitoring
While Trader Behavioral Analysis provides retrospective insights from past trades, ONYX+ delivers real-time emotional state detection during live trading. Monitor TILT, FOMO, FEAR, and cognitive freeze as they happen—not after the trade.
SENSORS
ECG + GSR + BioZ
LATENCY
Real-Time Intervention
AUTHENTICATION
Continuous Bio-ID
01 / PSYCHOLOGY

TRADER BEHAVIORAL
ANALYSIS

Understand Trader Bias and Behavioral Patterns against Market Psychology

03 / PORTFOLIO

BEHAVIORAL
ATTRIBUTION

Portfolio risk analysis and projected returns

05 / COMPARE

CONVICTION
STRESS-TEST

Compare two stocks side-by-side with detailed metrics

02 / RESEARCH

COGNITIVE ALPHA
RESEARCH

Comprehensive analysis of a single stock with economic context

04 / OPTIONS

SENTIMENT-FLOW
OPTIONS

Delta-Neutral • Directional Alpha • Institutional-Grade

06 / RANKINGS

CROWD-TILT
INDEX

Popular stocks from social media • AI multi-model analysis

Trader Behavioral Analysis

Understand trader bias and behavioral patterns against market psychology

Upload Trading History

Please upload your trading history Excel or CSV file

CSV, XLSX, XLS

REQUIRED COLUMNS: Date, Action, Symbol/Ticker, Quantity, Price Auto-maps variations (e.g., "Ticker" → "Symbol")

Download Sample File

Our Behavioral Framework

Every trade you made is cross-referenced against historical market sentiment to reveal how your psychology aligns with—or diverges from—the crowd.

28
Total Traits Measured
6
Primary Emotions Analyzed
Trade-by-Trade
Analysis Granularity
Plutchik's
Emotion Framework
Trade-Level Sentiment Mapping
Each buy/sell is matched to VIX, AAII bull/bear spread, Fear & Greed index, and S&P futures sentiment at that moment.
Quantified Behavioral Science
Academic formulas from Kahneman, Tversky translate your patterns into measurable cognitive biases with percentile rankings.
Context-Aware Scoring
Your decisions are evaluated against market regime, options flow, sector rotation, and calendar effects.
NLP-Enhanced Detection
FinBERT sentiment analysis on news combined with Gemini AI synthesis identifies psychology divergence.
💓 Primary Emotion Analysis
Plutchik's Wheel applied to trading: Fear, Anger, Joy, Sadness, Anticipation, Surprise—measured from your patterns.
How It Works
01
Upload Trades
Date, action, ticker, quantity, price
02
Sentiment Lookup
VIX, AAII, Fear & Greed at trade time
03
Pattern Analysis
21 behavioral traits computed
04
Emotion Analysis
6 primary emotions via Plutchik's Wheel
05
AI Coaching
28 dimensions with personalized insights
OPTIONS / INCOME STRATEGY

Covered Call Screener

Screen your watchlist for optimal covered call opportunities. Get ranked recommendations across short-term, medium-term, and LEAPs horizons.

ENTER TICKERS (comma-separated)
Enter up to 50 tickers. SPY uses special market indicators (VIX, Fear & Greed, PCR).

Conviction Stress-Test

Compare two stocks side-by-side with comprehensive AI-powered analysis

Enter Stock Tickers

Our Comparison Framework

Side-by-side analysis using gradient ML for short-term precision and time-tested heuristics for long-term stability—each model optimized for its forecasting horizon.

2
Stocks Analyzed
5
Forecast Horizons
4
Model Types
Gemini AI
Winner Synthesis
Gradient ML Forecasting
Machine learning models trained on 60-day sequences capture short-term momentum and mean-reversion patterns for 5-day price targets.
Trend-Following Heuristics
Time-tested moving average and momentum rules provide stable signals for longer horizons (1W-1Y) where ML tends to overfit.
NLP Sentiment Synthesis
FinBERT analyzes news sentiment while Gemini AI synthesizes scores with macro context for each stock's composite rating.
Risk-Adjusted Comparison
GARCH volatility forecasts and beta-adjusted metrics ensure fair comparison across different risk profiles.
How It Works
01
Enter Tickers
Two stocks for head-to-head comparison
02
Data Collection
Price, fundamentals, news, options flow
03
Model Execution
ML for 5-day, heuristics for long-term
04
Winner Synthesis
Gemini AI determines the better pick

Behavioral Attribution

Comprehensive portfolio risk analysis and projected returns

How many stocks in your portfolio?

Our Portfolio Intelligence Framework

Your portfolio is stress-tested against real-time market dynamics—VIX regimes, S&P futures positioning, forward earnings estimates, and cross-asset correlations—to quantify risk and surface actionable rebalancing opportunities.

8
Risk Dimensions Analyzed
Live
S&P Futures & VIX Data
Forward
S&P 500 EPS Estimates
Gemini AI
Portfolio Guidance
Market Regime Risk Assessment
VIX term structure (contango vs backwardation), S&P futures basis, and put/call ratios combine to classify market regime and adjust your portfolio's risk profile.
Drawdown Stress Testing
Historical crisis scenarios (2008: -57%, 2020: -34%) applied to your portfolio's beta and concentration estimate potential drawdowns.
ML-Powered Composite Scoring
Each holding scored via ensemble ML (XGBoost + neural networks) trained on 60-day sequences with macro regime awareness.
AI Strategic Guidance
Gemini AI synthesizes risk metrics, drawdown scenarios, and composite scores into personalized rebalancing guidance with forward EPS context.
What We Deliver
01
Risk Dashboard
VaR, Beta, Correlation, Sharpe
02
Drawdown Scenarios
Typical & severe market stress
03
Trim Rankings
Composite score for each holding
04
AI Recommendation
Gemini strategist guidance

Cognitive Alpha Research

Comprehensive analysis of individual stocks with 5-day forecast and economic context

Enter Stock Ticker

Analyze any US stock with AI-powered fundamental, technical, and macro analysis

Enter any US stock ticker symbol for comprehensive analysis

Our Research Process

Institutional-grade analysis combining quantitative models, NLP sentiment, and real-time market intelligence to generate explainable 5-day price forecasts.

120+
Data Points Analyzed
4
Quarters of Transcripts
6
Proprietary Models
Real-time
Market Data
Earnings Intelligence
BART-summarized earnings calls extract C-suite sentiment and forward guidance from 4 quarters of transcripts.
ML Price Forecasting
XGBoost + LSTM ensemble predicts 5-day price targets using 60-day sequences with SHAP-explainable feature attribution.
NLP Sentiment Synthesis
FinBERT analyzes news headlines while Gemini AI synthesizes sentiment with macro context into a composite score.
Volatility Modeling
GARCH(1,1) forecasts forward volatility, calibrating confidence intervals and risk-adjusted position sizing signals.
How It Works
01
Enter Ticker
Single stock for deep analysis
02
Data Gathering
Price, earnings, news, options flow
03
Model Execution
XGBoost, LSTM, FinBERT, GARCH
04
Report Generation
Explainable 5-day forecast with SHAP

Stock Ranking in Top Investor's Portfolio

Select an investor to analyze their portfolio holdings

Daily Rankings

AI-Powered Analysis

∞

CUSTOM STOCKS

Bill Ackman

Pershing Square Capital

12

HOLDINGS

Tom Lee

Fundstrat Global Advisors

13

GRANNY SHOTS

Warren Buffett

Berkshire Hathaway

8

TOP POSITIONS

Bill Ackman's Portfolio

Pershing Square Capital Management - Comprehensive AI-Powered Stock Analysis & Ranking

Bill Ackman's Portfolio Holdings

Pershing Square Capital Management - 12 Stock Portfolio

AMZN
GOOGL
HTZ
HLT
BN
UBER
QSR
HHH
CMG
GOOG
SEG
CP

Tom Lee's Granny Shots Portfolio

Fundstrat Global Advisors - Comprehensive AI-Powered Stock Analysis & Ranking

Tom Lee's Granny Shots Portfolio

Fundstrat Global Advisors - 13 High-Conviction Stocks

LRX
AMD
GOOG
CAT
TSLA
HOOD
CRWD
PANW
KLAC
AVGO
PWR
AXP
AAPL

Warren Buffett's Top Holdings

Berkshire Hathaway - Comprehensive AI-Powered Stock Analysis & Ranking

Warren Buffett's Portfolio

Berkshire Hathaway - 8 Top Positions

AAPL
BAC
AXP
CO
CVX
LEN
MCO
OXY

Crowd-Tilt Index

AI-Powered Multi-Model Analysis • Click column headers to sort

OUR RANKING METHODOLOGY

Every stock is analyzed through 5 scoring dimensions
and 4 predictive models to generate a unified
composite score and price target.

5
SCORING DIMENSIONS
4
PREDICTIVE MODELS
5yr
HISTORICAL DATA
D+1
PRICE FORECAST
Ensemble
STACKING METHOD
• Technical Score T

RSI, MACD, Bollinger Bands, ATR, Williams %R, CCI, and 20+ technical indicators.

• Fundamental Score F

P/E, P/B, ROE, debt ratios, earnings growth, and DCF valuation metrics.

• Sentiment Score S

News sentiment via FinBERT NLP, social media signals, and analyst ratings.

• Macro Score M

VIX levels, Fear & Greed Index, sector rotation, yield curve, and GDP signals.

• Behavioral Score B

Insider activity, institutional flows, put/call ratios, and AAII sentiment.

HOW IT WORKS

01
Data Collection

5 years of OHLCV from Yahoo Finance

02
Score Calculation

5 dimensions weighted by market regime

03
Model Training

XGBoost + LSTM + Heuristics + Momentum

04
Ensemble Stacking

Weighted blend with confidence score

05
Ranking Output

Sorted by composite score with signals

DEEP DIVE: PREDICTIVE MODELS

XGBoost X 40% WEIGHT
Gradient Boosting · 300 Trees +

ARCHITECTURE

  • 300 decision trees
  • Max depth: 8 levels
  • Learning rate: 0.03
  • 5-fold Time-Series CV
  • Early stopping (50 rounds)

TRAINING DATA

  • 5 years daily OHLCV
  • 80/20 train/test split
  • Target: 5-day log return
  • ~1,250 training samples

INPUT FEATURES (40+)

RSI MACD ATR Williams %R CCI Stoch RSI MFI Bollinger ROC 5/10/20 MA Ratios VIX Fear & Greed AAII Sentiment Put/Call Ratio Sector Beta
LSTM L 30% WEIGHT
Deep Learning · 60-Day Sequence +

ARCHITECTURE

Input (60×9)
→ LSTM(64) + Dropout
→ BatchNorm
→ LSTM(32) + Dropout
→ BatchNorm
→ Dense(32) + LeakyReLU
→ Dense(5) → D+1 to D+5

TRAINING

  • 30 epochs (early stop @ 15)
  • Batch size: 32
  • Optimizer: Adam (LR=0.001)
  • LR reduces on plateau
  • 15% validation split

INPUT FEATURES (9 × 60 days = 540 inputs)

Log_Return_Stock
Stock's daily return
Log_Return_SPY
S&P 500 benchmark
VIX_Daily_Change
Volatility change
FGI_Change
Fear & Greed delta
VIX_Term_Structure
Contango signal
AAII_Spread
Bull - Bear sentiment
Sector_Return
Sector ETF performance
PC_Ratio_Vol
Put/Call volume
PC_Ratio_OI
Put/Call open interest
Heuristics H 20% WEIGHT
Technical Analysis · Rule-Based +

No training required. Uses fixed technical analysis rules with weighted signals.

SIGNAL WEIGHTS

30%
Trend
MA crossovers
10/20/50/200
25%
RSI
>70 overbought
<30 oversold
25%
MACD
Crossover signals
12/26/9 EMA
20%
Bollinger
Mean reversion
at band edges

Logic: Combined signal (-1 to +1) is scaled by historical volatility and applied to current price with decay factor for longer horizons.

Simple Momentum SM 10% WEIGHT
Trend Following · 20-Day +

Pure trend extrapolation. No training. Just math.

FORMULA

avg_return = mean(last_20_days_returns)

D+1 = Price × (1 + avg_return × 1)
D+2 = Price × (1 + avg_return × 2)
D+3 = Price × (1 + avg_return × 3)
D+4 = Price × (1 + avg_return × 4)
D+5 = Price × (1 + avg_return × 5)

Best for: Trending markets. Weight increases when MA10 > MA20 > MA50.

Ensemble Stacking META-LEARNER
Adaptive Regime-Based Weighting +

BASE WEIGHTS

XGBoost
40%
LSTM
30%
Heuristics
20%
Momentum
10%

REGIME ADJUSTMENTS

High Volatility (Vol > 1.2×)
↑ Heuristics ↓ Momentum
Strong Trend (MA10>MA20>MA50)
↑ Momentum ↓ Heuristics
Extreme RSI (>70 or <30)
↑ Heuristics (mean reversion)

CONFIDENCE SCORE

predictions = [XGB, LSTM, Heur, Mom]
spread = std(predictions)
mean = avg(predictions)

confidence = 1 - (spread / mean)

>90% = High agreement ✓
70-90% = Moderate
<70% = Models disagree ⚠

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MAMKARA © 2026 For educational purposes only. Not financial advice. Contact: investors@mamkara.com | Los Altos, CA

Understanding Your Stock Analysis

Understanding Scores (0-1 Scale)
Composite Score
The weighted average of all analysis factors. This is your primary buy/sell signal combining fundamental, technical, macro, and behavioral signals.
> 0.7 = Strong Buy signal 0.4-0.7 = Hold/Neutral < 0.4 = Sell signal
Fundamental Score
Measures company financial health using valuation ratios (P/E, P/B), profitability (ROE, margins), and balance sheet strength (debt levels, liquidity).
> 0.7 = Financially strong 0.4-0.7 = Average < 0.4 = Concerns present
Technical Score
Evaluates price momentum using RSI, MACD, Bollinger Bands, moving averages, and volume trends. Shows if the stock is overbought/oversold.
> 0.7 = Strong upward momentum 0.4-0.7 = Neutral momentum < 0.4 = Downward pressure
Macro Score
Assesses broader economic conditions affecting stocks: interest rates, GDP growth, unemployment claims, yield curve, and market sentiment indicators.
> 0.7 = Favorable economy 0.4-0.7 = Mixed signals < 0.4 = Economic headwinds
Market Sentiment Indicators
Fear & Greed Index (FGI)
CNN's sentiment gauge (0-100) measuring market emotions. Based on VIX, put/call ratios, junk bond demand, stock price breadth, and safe haven demand.
0-25 = Extreme Fear (contrarian buy) 26-74 = Neutral 75-100 = Extreme Greed (caution)
AAII Bull/Bear Spread
American Association of Individual Investors weekly survey. Shows retail sentiment. This is a CONTRARIAN indicator - extreme readings often precede reversals.
< -20% = Extreme bearish (contrarian buy) -20% to +20% = Neutral > +20% = Extreme bullish (contrarian sell)
Put/Call Ratio
Total put open interest divided by call open interest. Shows options market positioning - higher values indicate more bearish bets.
> 1.2 = Extreme pessimism (contrarian bullish) 0.7-1.0 = Neutral positioning < 0.7 = Complacency (contrarian bearish)
VIX (Volatility Index)
The "fear gauge" - S&P 500 expected 30-day volatility derived from options prices. Spikes during market stress, low during calm periods.
< 15 = Low vol (complacent market) 15-25 = Normal volatility > 30 = High fear (potential opportunity)
Economic Indicators
Yield Spread (10Y-3M)
Difference between 10-year and 3-month Treasury yields. When negative (inverted), historically predicts recessions 6-18 months ahead.
> 1% = Healthy economy expected 0-1% = Caution zone < 0% = Inverted (recession warning)
Initial Claims (ICSA)
Weekly unemployment insurance claims from FRED. Leading indicator of labor market health and consumer spending power.
< 250K = Strong job market 250-350K = Normal levels > 350K = Labor market stress
GDPNow
Atlanta Fed's real-time GDP growth estimate. Updated frequently as new economic data releases. Shows current quarter growth trajectory.
> 2.5% = Strong growth 1-2.5% = Moderate growth < 1% = Weak/Recession risk
CFNAI
Chicago Fed National Activity Index. Weighted average of 85 economic indicators. Values above 0 indicate above-trend growth.
> 0 = Above-trend growth -0.35 to 0 = Trend growth < -0.35 = Below trend (recession risk)
Risk Signals
HYG/LQD Spread
High-yield bond ETF (HYG) performance vs investment-grade (LQD). When HYG outperforms, it signals risk-on appetite. Underperformance signals flight to safety.
> 0.5% = Risk-On (bullish) -0.5% to 0.5% = Neutral < -0.5% = Risk-Off (defensive)
S&P Futures Basis
Premium/discount of S&P 500 futures vs spot. Premium indicates bullish expectations; discount indicates bearish sentiment or hedging activity.
Premium = Bullish expectations Near 0 = Fair value Discount = Bearish/Hedging
Forward EPS Growth
Consensus analyst estimates for S&P 500 earnings growth. From S&P Global Intelligence. Higher growth supports higher valuations.
> 10% = Strong earnings outlook 5-10% = Moderate growth < 5% = Weak earnings outlook
VIX Term Structure
Compares near-term vs longer-term VIX. Contango (upward slope) is normal; backwardation (inverted) signals immediate stress/fear.
Contango = Normal, calm market Flat = Uncertain Backwardation = Immediate fear
Price Forecast Models
XGBoost Model
Machine learning model trained on historical price patterns, technical indicators, and market features. Provides 5-day price predictions with ~60% directional accuracy.
Heuristic Model
Rule-based model using technical analysis patterns, support/resistance levels, and momentum. Often shown in header forecast. ~80% accuracy on trend direction.
Expected Return
Percentage change from current price to Day 5 forecast. Positive values indicate upside potential; negative indicates downside risk.
Target Price
Average of the 5-day forecast prices. Represents the model's estimate of fair value in the near term.