Scalping trading strategy: test the rules and execution costs

Specify one complete one-minute rule

Use the following long-only breakout as a fixed baseline. Before testing, record one exact US equity symbol and data feed, the date range, and whether prices are adjusted. The arithmetic assumes a $0.01 tick and 100 shares; verify the chosen instrument supports those assumptions. These parameters are illustrative, not optimized settings or a recommendation.

Check the order clock before the result

TradingView documents next-tick fills for default market orders. For a signal on the 10:00 to 10:01 bar, the entry is therefore at the 10:01 open. Five held bars finish at 10:06; a time exit requested then fills on the next available tick, normally the 10:06 open. Missing bars or a halt can delay that exit, so five minutes is a model assumption, not a guaranteed holding limit.

• With a hypothetical $100.00 entry fill, the bracket is $99.90 stop and $100.15 target. A worse entry changes both levels because they are measured from the actual fill.
• If both levels lie inside one historical candle, OHLC alone does not reveal which was reached first. The emulator assumes a price path; inspect the trade with lower-timeframe data.
• Keep intrabar recalculation and same-close fills disabled for this baseline. Record any changes to those settings as a different experiment.
• A stop is a trigger, not a guaranteed maximum loss. A gap through $99.90 can produce an exit below it.

Calculate the cost budget in ticks

For an arithmetic-only scenario, suppose 60% of trades win 15 ticks and 40% lose 10 ticks before friction. Gross expectancy is 0.60 × 15 - 0.40 × 10 = 5 ticks per share. The table holds those outcomes constant to isolate costs; it is not a backtest of the rule above. Time exits would create other outcomes and require the actual average win and loss.

• For a constant cost c in ticks, net expectancy = win rate × 15 - loss rate × 10 - c. Break-even win rate = (10 + c) / (15 + 10).
• The base case assumes $0.005 commission per share on each side, a $0.01 full spread paid once per round trip relative to midprice, and $0.01 additional slippage on each side. These are invented test inputs, not broker quotes.
• At 100 shares, the planned $10 stop loss plus $4 base costs is $14, below the example $25 risk cap. A larger gap, partial fill, or delayed exit can exceed that estimate.

Map the costs to TradingView without counting them twice

Strategy Properties applies commission at entry and exit. Slippage is entered in ticks and affects market and stop orders; it does not apply the same adjustment to a limit target. A fixed slippage setting can approximate spread costs but cannot reconstruct changing bid and ask quotes. Keep a written mapping between your broker charges, spread assumption, and strategy settings.

• The arithmetic table starts from frictionless prices. If a trade export already uses fills affected by spread or slippage, do not subtract that same cost again.
• Rerun the strategy for each execution scenario. Adjusted fills can change which exit happens and the win rate, so subtracting a fixed fee from an unchanged trade list is only a first sensitivity check.
• Use Verify Price For Limit Orders to test a stricter target-fill assumption. Touching a target in historical OHLC does not prove your order had queue priority or sufficient liquidity.
• Record per-order minimum commissions and exchange charges if they apply. A per-share approximation can understate the cost of small orders.

Audit ambiguous fills and chart construction

Bar Magnifier uses lower-timeframe prices to refine historical fills. Compare trades that touch both stop and target, and record whether intrabar coverage exists for the tested dates. TradingView limits lower-timeframe requests to 200,000 bars, so early trades may lack that detail. More detailed bars still do not establish order-book depth, latency, or your position in a limit-order queue.

• Use standard candles for the main execution test. TradingView warns that Renko brick prices are synthetic and can create fills that were unavailable in the market.
• If the idea uses Renko signals, specify the brick construction separately and investigate execution using standard price data. A smoother brick chart is not evidence of executable profit.
• Flag every bar whose stop/target order is ambiguous. If plausible fill sequences change the conclusion, report the result as unresolved.

Freeze the rule and test what would invalidate it

Select the symbol, dates, session, and cost assumptions before examining results. Use an earlier period to develop the rule, then freeze it for a later untouched period. Retain losing days and all eligible signals. An attractive result that disappears with two additional ticks of round-trip friction is too cost-sensitive to support the original conclusion.

• Compare net expectancy per trade, trade count, drawdown, and holding duration across base and stressed costs. Check time exits separately from stop and target exits.
• Review daily concentration: one unusual session should not be mistaken for repeatable behavior across the sample.
• Forward-test the frozen rule and log signal time, submission time, quoted spread, and observed fills. Compare those observations with the assumptions before considering real capital.
• Reject claims of a best scalping strategy based only on win rate. The payoff ratio, costs, sample, and fill model determine what that number means.