Quantitative Simulations
Analyzes your portfolio quantitatively: a one-year Monte Carlo simulation, a correlation matrix, beta vs the S&P500, and volatility + Value-at-Risk.
Sector Insights
Importance 7/10 · Confidence 60%
17/06 17:34
Hidden risk in the hot picks (correlation + beta)
The setups may look diverse — but here is the shared exposure hiding beneath the surface:
Highly correlated (>=0.7): GOOG-GOOGL (+1.00)
Importance 7/10 · Confidence 55%
17/06 17:34
Monte Carlo on the setups (10,000 scenarios)
The probability that each technical setup closes in profit over ~3 weeks, out of 10,000 GBM simulations per stock:
$QCOM: chance of profit ~57.7% within 15 days (median +2.5%)
$AAPL: chance of profit ~67.6% within 15 days (median +2.5%)
$NVDA: chance of profit ~60.4% within 15 days (median +2.3%)
$GOOG: chance of profit ~73.0% within 15 days (median +4.5%)
$GOOGL: chance of profit ~73.1% within 15 days (median +4.4%)
(A statistical probability from the historical distribution — not a promise.)
Importance 6/10 · Confidence 60%
17/06 17:34
Monte Carlo simulation - one year ahead
Out of 3,000 scenarios on a default basket (no portfolio yet):
Pessimistic scenario (5%): $95,729
Median scenario (50%): $117,975 (expected return +18.0%)
Optimistic scenario (95%): $146,063
Probability of a loss by year-end: 9.3%
Importance 4/10 · Confidence 75%
17/06 17:34
Portfolio risk analysis (Quant)
Analysis scope: a default basket (no portfolio yet) (value $100,000)
Portfolio beta vs S&P500: 0.89 (calmer than the market)
Annual volatility: 12.9%
Daily VaR (95%): $1,336 - the maximum daily loss expected in 95% of cases
High correlations: QQQ-XLK: +0.95, SPY-QQQ: +0.94, SPY-XLK: +0.87, SPY-XLF: +0.61, SPY-BTC-USD: +0.52
Importance 7/10 · Confidence 60%
17/06 16:51
Hidden risk in the hot picks (correlation + beta)
The setups may look diverse — but here is the shared exposure hiding beneath the surface:
Highly correlated (>=0.7): NXPI-MCHP (+0.75)
Importance 7/10 · Confidence 55%
17/06 16:51
Monte Carlo on the setups (10,000 scenarios)
The probability that each technical setup closes in profit over ~3 weeks, out of 10,000 GBM simulations per stock:
$PFE: chance of profit ~56.9% within 15 days (median +1.0%)
$ES: chance of profit ~55.7% within 15 days (median +0.8%)
$QCOM: chance of profit ~57.6% within 15 days (median +2.4%)
$PWR: chance of profit ~68.2% within 15 days (median +4.4%)
$NXPI: chance of profit ~58.0% within 15 days (median +2.2%)
$MCHP: chance of profit ~57.9% within 15 days (median +2.1%)
$COHR: chance of profit ~69.3% within 15 days (median +9.7%)
$DLR: chance of profit ~53.8% within 15 days (median +0.5%)
$CTVA: chance of profit ~52.8% within 15 days (median +0.4%)
$TDY: chance of profit ~60.3% within 15 days (median +1.5%)
(A statistical probability from the historical distribution — not a promise.)
Importance 6/10 · Confidence 60%
17/06 16:51
Monte Carlo simulation - one year ahead
Out of 3,000 scenarios on a default basket (no portfolio yet):
Pessimistic scenario (5%): $95,746
Median scenario (50%): $117,996 (expected return +18.0%)
Optimistic scenario (95%): $146,091
Probability of a loss by year-end: 9.2%
Importance 4/10 · Confidence 75%
17/06 16:51
Portfolio risk analysis (Quant)
Analysis scope: a default basket (no portfolio yet) (value $100,000)
Portfolio beta vs S&P500: 0.89 (calmer than the market)
Annual volatility: 12.9%
Daily VaR (95%): $1,336 - the maximum daily loss expected in 95% of cases
High correlations: QQQ-XLK: +0.95, SPY-QQQ: +0.94, SPY-XLK: +0.87, SPY-XLF: +0.61, SPY-BTC-USD: +0.53
Importance 7/10 · Confidence 60%
17/06 16:28
Hidden risk in the hot picks (correlation + beta)
The setups may look diverse — but here is the shared exposure hiding beneath the surface:
Highly correlated (>=0.7): NXPI-MCHP (+0.75)
Importance 7/10 · Confidence 55%
17/06 16:28
Monte Carlo on the setups (10,000 scenarios)
The probability that each technical setup closes in profit over ~3 weeks, out of 10,000 GBM simulations per stock:
$PFE: chance of profit ~56.9% within 15 days (median +1.0%)
$ES: chance of profit ~55.6% within 15 days (median +0.8%)
$QCOM: chance of profit ~57.6% within 15 days (median +2.4%)
$PWR: chance of profit ~68.2% within 15 days (median +4.4%)
$NXPI: chance of profit ~58.0% within 15 days (median +2.2%)
$MCHP: chance of profit ~57.8% within 15 days (median +2.1%)
$COHR: chance of profit ~69.4% within 15 days (median +9.7%)
$DLR: chance of profit ~53.9% within 15 days (median +0.5%)
$CTVA: chance of profit ~52.7% within 15 days (median +0.3%)
$TDY: chance of profit ~60.4% within 15 days (median +1.5%)
(A statistical probability from the historical distribution — not a promise.)
Importance 6/10 · Confidence 60%
17/06 16:28
Monte Carlo simulation - one year ahead
Out of 3,000 scenarios on a default basket (no portfolio yet):
Pessimistic scenario (5%): $95,864
Median scenario (50%): $118,148 (expected return +18.1%)
Optimistic scenario (95%): $146,287
Probability of a loss by year-end: 9.1%
Importance 4/10 · Confidence 75%
17/06 16:28
Portfolio risk analysis (Quant)
Analysis scope: a default basket (no portfolio yet) (value $100,000)
Portfolio beta vs S&P500: 0.89 (calmer than the market)
Annual volatility: 12.9%
Daily VaR (95%): $1,336 - the maximum daily loss expected in 95% of cases
High correlations: QQQ-XLK: +0.95, SPY-QQQ: +0.94, SPY-XLK: +0.87, SPY-XLF: +0.61, SPY-BTC-USD: +0.52
Importance 7/10 · Confidence 60%
17/06 16:18
Hidden risk in the hot picks (correlation + beta)
The setups may look diverse — but here is the shared exposure hiding beneath the surface:
Highly correlated (>=0.7): MCHP-NXPI (+0.75)
Importance 7/10 · Confidence 55%
17/06 16:18
Monte Carlo on the setups (10,000 scenarios)
The probability that each technical setup closes in profit over ~3 weeks, out of 10,000 GBM simulations per stock:
$QCOM: chance of profit ~57.7% within 15 days (median +2.5%)
$MCHP: chance of profit ~58.6% within 15 days (median +2.2%)
$NXPI: chance of profit ~58.3% within 15 days (median +2.4%)
$PWR: chance of profit ~68.2% within 15 days (median +4.4%)
$DLR: chance of profit ~53.8% within 15 days (median +0.6%)
$CTVA: chance of profit ~52.0% within 15 days (median +0.3%)
$TDY: chance of profit ~58.7% within 15 days (median +1.4%)
$GRMN: chance of profit ~56.2% within 15 days (median +1.1%)
$VTRS: chance of profit ~69.4% within 15 days (median +3.9%)
$EG: chance of profit ~51.5% within 15 days (median +0.2%)
(A statistical probability from the historical distribution — not a promise.)
Importance 6/10 · Confidence 60%
17/06 16:18
Monte Carlo simulation - one year ahead
Out of 3,000 scenarios on a default basket (no portfolio yet):
Pessimistic scenario (5%): $95,798
Median scenario (50%): $118,063 (expected return +18.1%)
Optimistic scenario (95%): $146,177
Probability of a loss by year-end: 9.2%
Importance 4/10 · Confidence 75%
17/06 16:18
Portfolio risk analysis (Quant)
Analysis scope: a default basket (no portfolio yet) (value $100,000)
Portfolio beta vs S&P500: 0.89 (calmer than the market)
Annual volatility: 12.9%
Daily VaR (95%): $1,336 - the maximum daily loss expected in 95% of cases
High correlations: QQQ-XLK: +0.95, SPY-QQQ: +0.94, SPY-XLK: +0.87, SPY-XLF: +0.61, SPY-BTC-USD: +0.53
Importance 7/10 · Confidence 60%
17/06 15:48
Hidden risk in the hot picks (correlation + beta)
The setups may look diverse — but here is the shared exposure hiding beneath the surface:
Highly correlated (>=0.7): TXN-MCHP (+0.76), MCHP-NXPI (+0.75)
Importance 7/10 · Confidence 55%
17/06 15:48
Monte Carlo on the setups (10,000 scenarios)
The probability that each technical setup closes in profit over ~3 weeks, out of 10,000 GBM simulations per stock:
$SBUX: chance of profit ~54.8% within 15 days (median +0.9%)
$ES: chance of profit ~55.6% within 15 days (median +0.8%)
$COHR: chance of profit ~70.7% within 15 days (median +10.2%)
$PWR: chance of profit ~68.2% within 15 days (median +4.4%)
$QCOM: chance of profit ~57.0% within 15 days (median +2.1%)
$TXN: chance of profit ~60.7% within 15 days (median +2.6%)
$MCHP: chance of profit ~57.2% within 15 days (median +2.1%)
$NXPI: chance of profit ~58.0% within 15 days (median +2.2%)
$DLR: chance of profit ~54.4% within 15 days (median +0.6%)
$TDY: chance of profit ~60.4% within 15 days (median +1.5%)
(A statistical probability from the historical distribution — not a promise.)
Importance 6/10 · Confidence 60%
17/06 15:48
Monte Carlo simulation - one year ahead
Out of 3,000 scenarios on a default basket (no portfolio yet):
Pessimistic scenario (5%): $95,688
Median scenario (50%): $117,922 (expected return +17.9%)
Optimistic scenario (95%): $145,997
Probability of a loss by year-end: 9.3%
Importance 4/10 · Confidence 75%
17/06 15:48
Portfolio risk analysis (Quant)
Analysis scope: a default basket (no portfolio yet) (value $100,000)
Portfolio beta vs S&P500: 0.89 (calmer than the market)
Annual volatility: 12.9%
Daily VaR (95%): $1,336 - the maximum daily loss expected in 95% of cases
High correlations: QQQ-XLK: +0.95, SPY-QQQ: +0.94, SPY-XLK: +0.87, SPY-XLF: +0.61, SPY-BTC-USD: +0.53
Importance 7/10 · Confidence 60%
17/06 15:41
Hidden risk in the hot picks (correlation + beta)
The setups may look diverse — but here is the shared exposure hiding beneath the surface:
Highly correlated (>=0.7): MCHP-NXPI (+0.75)
Importance 7/10 · Confidence 55%
17/06 15:41
Monte Carlo on the setups (10,000 scenarios)
The probability that each technical setup closes in profit over ~3 weeks, out of 10,000 GBM simulations per stock:
$TDY: chance of profit ~60.0% within 15 days (median +1.6%)
$SBUX: chance of profit ~54.4% within 15 days (median +0.8%)
$PFE: chance of profit ~56.7% within 15 days (median +1.0%)
$ES: chance of profit ~56.2% within 15 days (median +1.0%)
$PWR: chance of profit ~67.8% within 15 days (median +4.2%)
$MCHP: chance of profit ~57.8% within 15 days (median +2.1%)
$QCOM: chance of profit ~56.3% within 15 days (median +2.0%)
$NXPI: chance of profit ~58.0% within 15 days (median +2.2%)
$DLR: chance of profit ~54.4% within 15 days (median +0.6%)
$GRMN: chance of profit ~57.1% within 15 days (median +1.2%)
(A statistical probability from the historical distribution — not a promise.)
Importance 6/10 · Confidence 60%
17/06 15:41
Monte Carlo simulation - one year ahead
Out of 3,000 scenarios on a default basket (no portfolio yet):
Pessimistic scenario (5%): $95,677
Median scenario (50%): $117,909 (expected return +17.9%)
Optimistic scenario (95%): $145,980
Probability of a loss by year-end: 9.3%
Importance 4/10 · Confidence 75%
17/06 15:41
Portfolio risk analysis (Quant)
Analysis scope: a default basket (no portfolio yet) (value $100,000)
Portfolio beta vs S&P500: 0.89 (calmer than the market)
Annual volatility: 12.9%
Daily VaR (95%): $1,336 - the maximum daily loss expected in 95% of cases
High correlations: QQQ-XLK: +0.95, SPY-QQQ: +0.94, SPY-XLK: +0.87, SPY-XLF: +0.61, SPY-BTC-USD: +0.53
Importance 7/10 · Confidence 60%
17/06 15:31
Hidden risk in the hot picks (correlation + beta)
The setups may look diverse — but here is the shared exposure hiding beneath the surface:
Highly correlated (>=0.7): NXPI-MCHP (+0.75)
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Sector Chat
Ask me about portfolio risk, correlations, beta, or Monte Carlo scenarios.