Trading Plan

Trading Plan is a working document defining objectives, trading methods, risk rules and evaluation. CME compares it to a business plan with assumptions about costs, revenues and conditions; some assumptions may prove wrong. Its value therefore does not lie in guaranteeing a profit. It should make it possible to decide in advance when an action is permitted and how it will later be assessed. Our distinction: a trading idea explains why to try something, while a plan must also cover when the trade will not take place. [1]

A plan needs defined markets, products, holding practices and times when attention can be given to them. In discussing methodology, CME emphasizes experience, market knowledge, available capital and the ability to attend to important moments. Our practical inference: a plan requiring continuous monitoring is not feasible merely because it looks good on paper. It must be clear who monitors an open position, which information they use and when conditions are inadequate for a decision. Choosing a time frame does not turn uncertainty about future prices into certainty. [2]

CME distinguishes conditions preparing a trade, the specific entry trigger, and rules for managing an open position and exiting. A vague instruction to buy when the market looks strong does not establish whether the process was followed. Our methodological requirement is to record available inputs, the exact condition and decision time. The plan should also specify when an intended trade is no longer valid. Rewriting an entry rule after learning the outcome would replace the original decision with a new interpretation. Even a precisely described trigger does not itself prove a strategy's edge. [3]

In risk management, CME distinguishes intended leverage, loss per trade, daily loss, concurrent position count and total exposure. A position that is acceptable alone may therefore be unacceptable alongside others or after previous losses. Our example requires both the per-trade limit and the unused daily budget to permit it. Each limit needs a definition of included costs, open positions and recalculation time. Planned loss is an input to a decision rule, not an independently verified upper bound on the actual outcome. [4]

For stock orders, Investor.gov explains that a regular stop becomes a market order when triggered and the trigger price is not a guaranteed execution price. A stop-limit may instead remain unfilled. Specific terms differ by market and provider, so they cannot be applied to any Bitcoin service without verification. Our implication for a plan: it must distinguish the intended exit, submitted order and confirmed fill. Assumptions about price, fees and liquidity must be reflected in the budget; worse actual execution can exceed the planned loss. [5]

The CME worksheet explicitly includes trading hours, holding duration, a break after a loss and conduct around economic events. Our own checking framework adds rejection of new entries when data are stale or order status is unclear. Such a pause is not a forecast of the next market movement. It separates permission to take new risk from the urge to recover a past result immediately. Existing positions still need a separately described management procedure and confirmation of their actual status; prohibiting a new entry does not itself close existing positions. [6]

CME recommends recording trade reasons, entries, exits, times and subsequent conclusions. Our methodological distinction is to evaluate adherence to the plan separately from the economic result after costs. A profitable trade can violate rules, while a losing trade can follow them exactly. Records should also preserve rejected opportunities and rejection reasons so the plan is not judged only by a selection of executed winners. Accurate records do not themselves answer the causal question of whether another strategy would have done better; that requires an appropriate comparison. [7]

Our editorial recommendation is to retain the plan version, effective date and reason for change. New rules can be evaluated as new rules, rather than used to justify earlier violations retrospectively. NFA notes that hypothetical results use hindsight and may fail to capture liquidity, slippage or the ability to follow a process through actual losses. Successfully checking a simulated rule therefore does not confirm future profits. Our example verifies only decision logic using given inputs; it provides neither returns nor success probabilities. [8]