Step 1 β Pick an industry (avg 1-month change)
Step 2 β Pick a company
History
Last close
β
1M change
β
Volatility
β
Sharpe
β
Max drawdown
β
Forecast confidence
β
Price
How the forecast works (plain English)
We fit a classic time-series model (ARIMA) to past prices and extend the trend 30 business days out; the shaded band is the 95% confidence interval β wider means less sure. It cannot predict news, results or events. To judge trust, we replay history: hide the last 30 days, forecast them, and measure how far off we were. High = clearly better than assuming tomorrow equals today Β· Medium = about the same as that guess Β· Low = ignore the projection.
AI Insight (AI-generated, educational only)
Loadingβ¦
Forecast reliability: β
What the news says (AI reading of recent headlines)
Recent anomalies (unusual daily moves)
- Loadingβ¦
Step 3 β Read the market (chosen industry)
Loadingβ¦
Who's winning? return, last 30 days, % β β = market index
Is the reward worth the risk? top-right = high return, low volatility (best)
How far from the top? distance below 52-week high, % β dip candidates on the right
Above or below trend? distance from 50-day average, % β green = uptrend
Ranking (by 1-month change β click a company to inspect)
| # | Ticker | Industry | 1M % | Vol | Sharpe | Forecast trust |
|---|
Head-to-head growth of 100 invested β pick up to 3
Do they move together? correlation of daily returns β click a company to compare
Least related β diversifiers (lowest correlation, across all industries)
Moves together (highest correlation, across all industries)
What do these words mean? (30-second guide)
- 1M change β price move over the last ~21 trading days. Momentum snapshot.
- Volatility β how wildly the price swings, annualised. 0.15 is calm, 0.40+ is a rollercoaster.
- Sharpe β return per unit of risk. Above 1 = genuinely good; below 0 = pain without pay.
- Max drawdown β worst peak-to-trough fall. Your worst-case history lesson.
- MA20 / MA50 β the average price over the last 20 trading days (about a month) / 50 days (about 2Β½ months). Think of them as the market's memory: price trading above its average means buyers have been in charge lately; below means sellers are.
- 52-week high β highest price in a year. Far below it can mean a dip β or a reason.
- Typical miss (Β±%) β average % the forecast was off when replayed on the last 30 days. Lower is better.
- Forecast confidence β how far off the forecast would have been on the last 30 days. High = beats the simple guess "tomorrow = today" Β· Medium = no better Β· Low = ignore the projection.
- Anomaly (z-score) β a daily move so big (>3 standard deviations) it stands out from the last 60 days.
- Correlation β do two stocks move together? 1.0 = lockstep, 0 = independent. Low pairs diversify you.