Most traders think about stop-losses carefully and treat take-profit targets as an afterthought. I made the same mistake. The original take-profit rule was straightforward: exit when the position reaches a certain percentage above the weighted average cost. It made intuitive sense, but once I looked at it alongside the rest of the grid structure, it became clear that this rule was working against the strategy rather than with it.
How the Original Take-Profit Rule Worked
The first version of the take-profit logic set the exit target as a fixed percentage gain above the weighted average cost — something like "exit when the position is up 3% from the blended entry price." This is the most common approach, and it has a certain appeal: it's easy to calculate, easy to understand, and it guarantees that a winning trade locks in a specific percentage return regardless of where the original high was.
The problem is that this approach treats the trade as if it exists in isolation, disconnected from the price structure that generated the entry signal. In a grid strategy built around a breakout from a pullback, the entry signal is specifically tied to a price level — the recent high that the stock broke through to trigger the trade. Exiting based on average cost alone ignores that structure entirely.
Why Average Cost Is the Wrong Reference Point
Here's the issue in concrete terms. Suppose a stock made a high at 10,000, pulled back to 9,200 through the grid stages, and the weighted average cost came out to 9,500. A take-profit at +3% above average cost means exiting around 9,785 — a price still well below the original high of 10,000.
The original high of 10,000 is where the breakout thesis lives. That's the price the market had already demonstrated it was willing to pay once. Taking profit at 9,785 means exiting before the trade has confirmed the one thing the strategy was built to see: that the price can reclaim and exceed the previous high.
Exiting before that confirmation has a hidden cost beyond just leaving money on the table. It means the trade's success is being measured against a reference point — average cost — that was artificially created by the staged buying process, rather than against the market structure that actually mattered.
The New Rule: Exit Above the Previous High
The revised take-profit rule sets the exit target at a defined percentage above the breakout high — the price level the stock cleared when the entry signal was triggered. Something like "exit when the price exceeds the recent high by 1%."
This change reframes the entire trade. The exit is no longer about recovering to average cost and then a little more — it's about the original breakout level being reclaimed and extended. The grid's purpose is now explicitly to lower the average entry cost so that when the price returns to its previous high, the position profits more than a simple one-time entry would have.
There's also a filtering effect. If a stock breaks out, pulls back deep enough to fill multiple grid stages, and then can't recover to the previous high — that tells you something about the quality of the original move. The new take-profit rule implicitly requires the trade's original thesis to be confirmed before the exit is triggered.
The Tradeoff That Comes With It
Moving to a new-high take-profit introduces one real cost: trades that partially recover but fall short of the previous high end up stopped out rather than exited at a small profit. Under the average-cost rule, a 3% recovery from the blended entry might have been good enough to exit profitably. Under the new-high rule, the same partial recovery is not enough.
This tradeoff is worth accepting as long as the strategy's core premise holds — that stocks breaking out of a pullback pattern tend to recover to and exceed the previous high. When that premise doesn't hold, the new rule makes outcomes worse than the old one. Both approaches are making a bet; they just differ in what they're betting on.
Today's Investing Insight — Previous Highs as Resistance and Support
Previous highs often act as resistance when the price approaches them from below, and as support once they've been decisively cleared. The mechanism is behavioral: traders who missed the initial breakout tend to wait for a pullback to that level to enter, while traders who were long near the high and sold feel validated when the price comes back to where they exited. When a previous high is broken through with strong volume, it shifts from being a resistance level to a potential support base — the old ceiling becomes the new floor. This is sometimes called a "resistance-to-support flip" in technical analysis, and it's the structural logic that the new-high take-profit rule is built around.
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This post documents a personal journey of building an algorithmic trading system and is not a recommendation of any specific strategy. All investment decisions and their outcomes are the sole responsibility of the investor.
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