Lazy Trader / Docs

PLAN menu

How the PLAN menu acts as the single source of truth for the full Lazy Trader scenario.

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The trade plan canvas is the control layer above every other Lazy Trader block. When the plan toggle is off, no new entries are searched for. When it is enabled, the system starts checking Start After, Direction, Time, End At, and Models according to one coherent logic chain.

This matters because the plan is not just a navigation menu. It is the place where entry price, stop, take, risk mode, and high-level execution logic are coordinated. Without that central layer, the rest of the menus would behave like isolated settings rather than one scenario.

In practical terms, a trade plan is a compact answer to several questions: when to start searching for positions, which market side is allowed, when to stop searching, which entry models may participate, when the plan must stay inactive, and how much total risk is allocated to the idea.

The PLAN layer usually answers these questions:

  1. When is the plan allowed to begin searching for positions at all?
  2. Which bias is allowed: long, short, or a dynamic directional regime?
  3. When must the search for new trades stop: at target, on invalidation, or at maximum drawdown?
  4. Which entry models participate and how do they share risk share?
  5. What timing restrictions are part of the idea?
  6. What total risk and management behavior are acceptable for this scenario?

Operational reading

Think of the plan as the contract between your idea and the platform. It is where the intent becomes precise enough for the terminal to execute without improvisation.

A strong plan is usually simple at the top level and specific in the supporting menus. That keeps the operating flow readable when you later test, optimize, or explain the setup to yourself.

A good first draft of the plan can be assembled quickly and then validated in the tester. The point is not to write a perfect description on day one, but to get to a testable scenario as early as possible.

Trading Plan menu in Lazy Trader

The plan delegates detail to these menus

START AFTER menu

Start After does not pick the side of the trade; it defines what must happen before the plan is allowed to begin evaluating entries at all.

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END AT menu

END AT defines when the plan stops looking for new positions, which is different from instantly flattening every already-open trade.

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TIME menu

TIME is where session logic lives: windows, overnights, weekday permissions, daily close, Friday close, and broker-specific timing constraints.

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DIRECTION menu

Direction defines whether the plan is fixed long-only, fixed short-only, or dynamically biased through box, MA, or swing logic.

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MODELS menu

Models are the executable entry modules inside the plan, and the menu is built to let many different model types coexist under one scenario.

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STATUS canvas

Status canvas merges Direction, Start After, End At, Time, and Models into one live state map, so you can see what is aligned, what is still pending, and why the plan is running or waiting.

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Other Lazy Trader sections

What Lazy Trader does

Use this page when the main question is not “which button do I press”, but “what role does Lazy Trader play in the workflow at all”.

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END AT menu

END AT defines when the plan stops looking for new positions, which is different from instantly flattening every already-open trade.

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TIME menu

TIME is where session logic lives: windows, overnights, weekday permissions, daily close, Friday close, and broker-specific timing constraints.

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Automatic direction detection

This section explains the combined logic of Direction plus Start After, which is where many users actually shape the market bias of the plan.

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DIRECTION menu

Direction defines whether the plan is fixed long-only, fixed short-only, or dynamically biased through box, MA, or swing logic.

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START AFTER menu

Start After does not pick the side of the trade; it defines what must happen before the plan is allowed to begin evaluating entries at all.

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MODELS menu

Models are the executable entry modules inside the plan, and the menu is built to let many different model types coexist under one scenario.

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STATUS canvas

Status canvas merges Direction, Start After, End At, Time, and Models into one live state map, so you can see what is aligned, what is still pending, and why the plan is running or waiting.

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Position Manager

Position Manager gives each open trade its own chart-level button and lets you adjust takes, breakeven, stop-loss, and level sizing without leaving the Lazy Trader workflow.

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Base config

Base config is the shared risk and management layer that sits under each model and keeps model-specific logic from drifting into risk chaos.

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Box-Fractal model

Box-Fractal uses a confirmed fractal range as the structural base for entry and stop placement rather than entering at the first raw extremum.

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Larry-Williams model

Larry-Williams works with range extremes and supports both direct breakout continuation and return-entry logic after a raid back into the range.

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Classic Structure family

Classic Structure is the shared logic layer for three related pages: trend continuation, primary liquidity sweep, and reversal structure.

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Classic Structure Trend

Classic Trend participates on a pullback inside the active structure without requiring the structure direction itself to flip.

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Classic Structure via primary liquidity sweep

This variation opens on the first important structural violation and reads it as a sweep rather than as a full structural reversal.

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Classic Structure Reversal

Classic Reversal becomes relevant only when structure itself turns; it is not just a pullback model with a different stop.

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Moving Averages model

The MA model does more than “touch the fast average”: it also validates the nearest eligible fractal to the left before opening.

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Balanced Price Range (BPR)

BPR is the imbalance-compression model: it works with the overlap between opposite inefficiencies and lets you choose how deep into that balance zone entry should happen.

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Strategy optimization and tester workflow

Optimization is where the guide stops being descriptive and becomes operational: save several plan configs, iterate them in the tester, and read the journal by model contribution.

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