K3 Prediction
Next-period K3 predictions aligned with IST (Asia/Kolkata). K3 resolves quickly, making it ideal for short, disciplined learning sessions. Outputs are deterministic and reproducible—not guarantees.
Last updated:
Live Predictor (IST)
Targets the upcoming period in IST for 30s, 1m, 3m, and 5m markets. The interface resets daily at 00:00 IST and never shows historical outcomes.
Note: “confidence” is a study hint, not a guarantee. Use it to guide note-taking and post-session review.
Deterministic, Reproducible Method
The predictor joins a period code with a public salt, computes SHA-256, sums the first two bytes, and reduces the value modulo 10 to yield a digit (0–9). From this digit, the UI derives attributes such as Big/Small, Odd/Even, and compatible color mappings. Because the steps are public, anyone can reproduce the same output for the same inputs.
What This Enables
- Verification: same inputs → same outputs, suitable for audits and peer checks.
- Consistent logging: you can record predictions at decision-time and compare later.
- Focused learning: rapid intervals make it easier to study variance and streaks.
How to Use (Study Workflow)
- Pick a short session: 10–20 periods is a good start. Commit before you begin.
- Capture the prediction: note the period, digit, and derived attributes at decision-time.
- Categorize: mark Big/Small, Odd/Even, color, and any combo you are studying.
- Log outcomes later: after the period resolves, record the official outcome in your notes (off-site or personal sheet).
- Review: examine variance, streaks, and regression toward the mean. Do not chase.
Minimal Log Template
Date:
Session: 12 periods (1m)
Period | Pred Digit | BS | OE | Color | Notes
------------------------------------------------
... | 7 | B | O | Red | entry made at T-10s
Responsible Use (18+)
- Define your session limits (time and number of periods) in advance.
- Log every decision; review weekly to understand variance.
- Pause if you feel pressure to “win it back”. Fatigue distorts judgment.
- Remember: deterministic ≠ guaranteed. The tool is for education.
Read more: Responsible Play
Learning Notes
Combine attributes (e.g., Odd/Even + Big/Small) to study intersections. Treat combos as prompts for analysis, not directives. Over time you’ll build an intuition for streaks and cold/hot digits while avoiding narrative fallacies.
FAQ
Which markets are supported?
30s, 1m, 3m, and 5m in IST. The page targets only the next period and resets each day at 00:00 IST.
Are there guarantees?
No. The model is deterministic and reproducible but offers no guarantee of outcomes. It is built for transparent study.
Do you publish results here?
No. This page intentionally avoids historical outcomes to prioritize a forward-looking, study-first workflow.