EXECUTION & TRADE MANAGEMENT

LIMIT ORDERS: A limit order sets the maximum price you are willing to pay when buying, or the minimum price you are willing to accept when selling. It may fill at the desired price or better, but it can remain unfilled if price does not reach it. Some ICT-style models place limits at a specified part of an FVG, OB or BPR; these are model-specific references, not automatically optimal prices. MARKET ORDERS: A market order prioritizes execution at the best available price, but the actual fill may differ from the displayed price, especially in fast or illiquid conditions. It may be used when the written setup requires confirmation, but can also lead to slippage or a worse entry. CHOOSING AN ORDER TYPE: • Specify in advance when the strategy uses limit, market or stop orders. • Test missed fills as well as completed trades; a backtest that assumes every limit order fills when touched can overstate results. • Include spread, commissions and slippage when comparing realized R:R. • Avoid chasing a move outside the setup's defined entry conditions, but do not assume limit orders always provide a better outcome. Order type is an execution choice with tradeoffs, not a shortcut to higher expectancy. Compare alternatives under the same signals and cost assumptions.

Stop placement should follow the invalidation rule defined for the specific setup, not a universal boundary for every chart pattern. A setup may use a candle boundary, range extreme, structure point or another explicit condition, depending on the model. POSSIBLE MODEL-SPECIFIC REFERENCES: • For an FVG, define whether invalidation is a touch, close through an edge, or traversal of the zone. • For an order block, define which part of the candle or zone matters and what price action invalidates the idea. • For a sweep or reversal setup, define the level that invalidates the reversal hypothesis rather than assuming every wick is a stop hunt. • For a BPR, write down the boundary or condition used by your strategy. GENERAL PROCESS: Choose the stop from a rule that can be applied before knowing the outcome. Calculate position size from stop distance, contract value, planned account risk and execution costs. A stop is not a guarantee of the exact exit price: gaps, slippage and low liquidity can make realized loss larger than the planned amount. Avoid moving a stop farther away merely to avoid realizing a loss.

Take-profit placement is one of the exit rules a trading model should define before entry. Some ICT traders use candidate Draws on Liquidity (DOL) as targets; others use a fixed-R multiple, timed exit, volatility-based exit or a combination. No target type guarantees a fill or a profitable outcome. POSSIBLE REFERENCE TARGETS: • An internal-range reference such as a defined FVG, OB or prior swing. • An external-range reference such as a prior-day/week high or low. • A larger-timeframe reference for a swing model. The nearest reference does not necessarily offer the best payoff or have to be reached. A target at a liquidity level can still be skipped or rejected before price arrives; a fixed-R target can also be a valid model if tested. Compare target-selection rules using the same entry, stop and cost assumptions. Before entry, record the target, the invalidation condition, the time horizon and any partial-exit rule. Keep the plan conditional and evaluate missed fills, early exits and partial exits in the results.

Partial exits can change the trade's average realized win/loss, risk and drawdown. They are one possible management choice, not a guaranteed way to reduce stress or improve performance. When testing partials, define in advance: the condition for taking a partial, the fraction closed, the stop rule for the remaining size, and the final exit condition. Do not assume that moving the stop to breakeven makes the remaining position risk-free; spread, commissions, slippage and a stop execution beyond the entry can still produce a net loss. Compare the partial-exit variant with a full-position exit under the same setup, entry, stop, target and cost assumptions. Include all trades and measure expectancy, drawdown, missed fills and the effect of early exits. Do not change the exit rule on a trade simply because holding it feels uncomfortable unless that action is part of the tested plan.

BREAK-EVEN RULES SHOULD BE MODEL-SPECIFIC: Some plans move a stop to entry after a defined move (for example, 1R) or after a named reference has been reached. Other plans keep the original stop until the target or invalidation is hit. Test the chosen rule; moving to breakeven early can reduce some losses but can also increase stop-outs on trades that later continue. TRAILING STOPS: A structural trail can be defined around swing points or other explicit invalidation references; a fixed-distance trail is another possible method. Neither method is universally better. Write down how the stop moves and test it with realistic costs and intrabar assumptions. FULL EXIT LOGIC: Define in advance whether the exit is target-based, time-based, structure-based or a combination. A candidate DOL or opposite structure shift can inform the rule, but should not be applied retrospectively to justify an exit.

RISK LIMITS ARE ACCOUNT- AND STRATEGY-SPECIFIC: There is no single percentage that is appropriate for every trader, instrument, strategy or account. Choose a maximum planned loss per trade that fits your tested strategy, account rules and ability to tolerate drawdown. Include total open exposure and correlated positions; a setup grade such as A+ should not automatically justify higher risk. CALCULATING POSITION SIZE: 1. Choose the amount you are willing to lose if the stop is reached. 2. Define the entry and stop from your written setup rules. 3. Convert the stop distance into monetary risk using the instrument's contract size, tick/pip value and account currency. 4. Account for spread, commissions, slippage and other execution costs. 5. Check aggregate risk across open positions before placing the order. HYPOTHETICAL EURUSD EXAMPLE: Assume a $50,000 account, a planned risk cap of 1% ($500), a 25-pip stop, and a pip value of $10 per standard lot. Under those assumptions, $500 / (25 × $10) = 2 standard lots before additional costs or slippage. Actual sizing depends on the broker, contract specifications, quote currency and execution conditions. DAILY AND WEEKLY PAUSE RULES: Some traders set daily or weekly loss limits and pause trading when they are reached. Choose thresholds in advance based on your strategy, account limits and risk capacity, then review the cause of a drawdown. A limit may reduce exposure, but it does not guarantee that losses will stop exactly at that percentage.

The mechanics of execution -- where to enter, where to stop, where to exit -- are teachable and learnable within weeks. The psychology of execution takes much longer and is where most traders fail despite correct setups. THE CORE EXECUTION PSYCHOLOGY CHALLENGES: 1. PREMATURE EXIT: Closing a winning trade before the target because you are afraid it will reverse. Caused by past experiences of winners becoming losers. Solution: partial profits at TP1 reduce this fear while keeping the position running. 2. STOP MOVEMENT: Moving the stop further away when price approaches it -- "giving it more room." This turns defined-risk trades into undefined-risk disasters. Solution: write the stop level in your journal before entry and treat it as a physical contract you cannot break. 3. LATE ENTRY: Entering a trade after missing the intended entry level because you cannot bear to let it go. This creates worse entries with worse R:R. Solution: if you miss the entry, write "missed" in your journal and wait for the next one. 4. OVERTRADING: Taking additional trades after a winner to "keep the momentum going" or after a loser to "make it back." Both are destructive. Solution: maximum two trades per day. After two, close all charts. 5. ANALYSIS PARALYSIS: Knowing the setup is valid but being unable to pull the trigger due to fear of being wrong. Solution: pre-planned limit orders placed before the session -- the order fills automatically without requiring a real-time decision.