Markov Analyzer
Assess next-week probabilities, expected run length, and reward stats (horizon: k=2 weeks).
How the Markov model works here
A Markov Chain simplifies weekly price action into statesโDown, Neutral, Upโand learns the probability of moving from one to the next. Itโs โmemorylessโ: the next step depends on the current state, not distant history.
We present: Prob. Up Next Week (one-week transition), Prob. Up โค k (at least one Up in the next k
weeks), Expected Run (typical state duration), and Reward Stats (average weekly returns by state/transition).
Higher Up probabilities / longer Up runs = constructive. Persistent negative rewards or Down bias = caution. Educational only โ not financial advice.
- No results yet.
Move the slider to see probabilities within 1โ8 weeks.
CEIGALL NSE
Metric | Value |
---|---|
Current State | Up |
Prob. Up Next Week | 0.6 |
Prob. Up โค 2 | 0.407 |
Expected Run (Current) | 2.5 |
Expected Run (Up) | 2.5 |
P20 / P80 Bands | -0.399 / 0.083 |
Quick Read
Plain-English Interpretation
Current regime: Up.
Short-term odds favour an Up move soon. Current regime typically lasts a couple of weeks. Even in Up, returns have been soft recently - use extra confirmation. Down regime carries negative drift - avoid knife-catching. Typical weekly range sits between -0.399 and 0.083 (20thโ80th pct).
Reward Stats (avg % return)
State | Avg Return | Samples |
---|---|---|
0 | -0.025 | 8 |
1 | -0.007 | 21 |
2 | -0.008 | 7 |
Transition | Avg Return | Samples |
---|---|---|
0->0 | -0.022 | 7 |
0->1 | -0.044 | 1 |
1->0 | 0.085 | 1 |
1->1 | -0.012 | 18 |
1->2 | -0.008 | 2 |
2->1 | 0.022 | 2 |
2->2 | -0.020 | 5 |
Reading the metrics
- Prob. Up Next Week โ one-step transition. Higher values are constructive.
- Prob. Up โค k โ chance of at least one Up in the next
k
weeks. - Expected Run โ typical duration of current state; longer Up runs support trends.
- P20 / P80 โ typical weekly range for risk sizing.
- Reward Stats โ average weekly returns by state/transition; negatives flag caution.
Legend
Accents appear where metrics indicate strength or risk.