Use cases

What a review is for

Specific questions Monoqant answers well — and the ones it does not try to answer.

  1. 01Cost sensitivity
  2. 02Regime dependence
  3. 03Risk limits
  4. 04Reproducibility

Cost sensitivity

At what cost does the result disappear?

A strategy output looks attractive. You suspect it assumes near-zero costs.

  1. A: 2 + 2 bps; B: 10 + 15 bps, same regime
  2. Save, then raise B in steps
  3. Read Δ net result and cost share per version

Output: A versioned report showing the cost level at which the sample result turns negative.

Read: slippage, fees and execution

Regime dependence

Does it survive a different market?

The strategy was described using one kind of market. You want to know how it behaves in another.

  1. Keep costs equal on both sides
  2. A: the regime it was built for; B: the opposite
  3. Compare drawdown and exposure, not just return

Output: A side-by-side record of where the rule helps and where it costs.

Read: hidden assumptions in a backtest

Risk limits

Would your own limits have stopped it?

You have rules you intend to follow. You want to see whether a strategy would have broken them, and when.

  1. Write the four limits first
  2. Save the report
  3. Read each breach with its bar and value

Output: A list of breaches you can discuss before anything is decided.

Read: designing auditable risk rules

Reproducibility

Hand a review to a colleague

Someone else needs to check your work without redoing it.

  1. Export the report as Markdown or JSON
  2. Share the file through your own channels
  3. They can recompute every metric from the formulas

Output: A self-contained report with inputs, results, assumptions and trail.

Methodology and formulas

Not what Monoqant does

  • Execute or automate trades
  • Connect to brokers, exchanges or wallets
  • Backtest on historical market prices
  • Recommend strategies or assets
Start a strategy review