Research, backtests, and live markers

Market Predictions

Predictions start with market history, remove noisy outliers, model a trade hypothesis, backtest it, then wait for the same profitable markers to appear in the live Bazaar.

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Prediction access code

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How to read these calls

From hypothesis to trade parameters

Example: if Big Sword repeatedly dips near 100 coins and history shows it corrects to 120, the setup becomes a buy order around 101 and a sell order around 119.

Research first
1. Analyze Collect Bazaar prices, volume, spread, mayor/event context, and long-range history.
2. Clean Reduce outliers so one strange spike does not become the whole thesis.
3. Model Look for repeatable dips, corrections, momentum, or undervaluation.
4. Backtest Check whether the same marker would have worked on old data.
Mayor and events Mayor polls, perks, ministers, and event timing can boost or reduce the modeled edge.

Live markers

Backtested trade setups

Each row translates the model into an entry area, target, expected edge, and confidence score.

Estimates, not guarantees
Item and hypothesis Signal Trade plan Confidence
Analyzing market history...

Track record

Past prediction results

Evaluating predictions after their forecast horizon...

Prediction Result Expected / actual Evaluated
Loading prediction history...