Risk Management

An educational overview of exposure assumptions, invalidation references, drawdown tracking, and session-rule configuration. The guide describes what Hanzo AI displays in paper-study tools; it is not individualized financial advice or an execution plan.

What this page covers

• How the platform displays hypothetical exposure calculations
• How invalidation and volatility references appear in model examples
• How daily loss and drawdown fields work in Phantom Desk simulations
• How to use Hanzo AI features to enforce risk rules automatically
• How to review hypothetical risk/reward assumptions without treating them as targets

The Core Principle

Risk management is a central topic in trading education. Individual outcomes cannot be controlled, while exposure assumptions can be documented and reviewed. Long-term participation depends on managing losses and evaluating methods across many observations rather than relying on selected setups.

Hypothetical Exposure Calculation

Phantom Desk can display a hypothetical exposure calculation from account assumptions, a user-entered percentage, and a reference distance. The calculation is a simulator field, not a recommended amount or individualized instruction.

The Phantom Desk calculator computes the simulator's displayed amount from the fields entered by the user. Review units and assumptions; the output is for paper-study configuration and does not direct live activity.

Exposure Assumptions

Invalidation References

A paper-study scenario may include an invalidation reference to evaluate later. The following are common analytical reference types, not instructions to place live stops:

1. Order-block reference

   Record the modeled order-block boundary and compare later candles with the hypothetical scenario.

2. Structure reference

   Record a Wyckoff or swing level that would change the interpretation, without converting it into an order instruction.

3. Volatility reference

   Record the selected ATR or range context and compare it with later movement. No multiplier or distance is prescribed.

4. Session reference

   Record the session high or low as a historical reference and note whether later candles crossed it.

Reviewing Hypothetical Risk/Reward

A paper-study worksheet can compare hypothetical gain and loss assumptions, fees, and later outcomes. No ratio, win rate, or expectancy value on this page establishes profitability or a minimum standard.

Daily Loss Limits & Session Rules

Daily loss and drawdown fields can be configured in a simulation to study how rule constraints affect a paper account. Their usefulness depends on the selected rules and assumptions; no universal level is prescribed here.

In Phantom Desk's Prop Firm Challenge Mode, these fields can be configured to mirror a selected firm's published parameters. Verify current rules independently; simulation behavior does not guarantee third-party acceptance.

Correlation Risk Management

One of the most underappreciated risk management errors is holding multiple highly correlated positions simultaneously. This creates invisible leveraged exposure to a single macro factor.

1. Open Correlation Matrix before each session

   List every pair you intend to trade today. Check each pair's correlation with every other pair in your list.

2. Compare highly related pairs

   For a displayed high correlation, record the coefficient and lookback period. No half-size or elimination rule is implied.

3. Review negative-correlation examples

   For a hypothetical EURUSD and USDCHF example, compare the historical relationship and document why it may or may not offset exposure. This is not a hedge instruction.

4. Document overlapping assumptions

   If two series move together in a sample, note the overlap in the paper-study record without converting it into an account-risk formula.

Prop Firm Specific Rules

Prop firm evaluations use provider-specific daily and overall drawdown rules. See the dedicated Prop Firm Guide for educational explanations and simulation worksheets; Hanzo does not promise, improve, or verify an evaluation outcome.