If you are an advanced investor looking for more return, the first thing to filter out is strategies that only look like they produce return.
The research
A Quantpedia interview this September with a developer who has reviewed hundreds of retail bots made a blunt point. The most common bots are grid systems, often with Martingale averaging, where you add larger positions after losses instead of closing them. They sell well because buyers rarely see a losing trade until one large loss arrives. The same discussion said the more durable approaches were usually lower-frequency breakout and trend systems. Those approaches are built on a real market premise, and they are less exposed to commissions and slippage. Watch the interview.
What that means for you
A smooth equity curve can be evidence of hidden risk, not of skill. Before trusting any strategy, ask three things:
- Does it add to losing positions automatically? If so, its worst case is usually far worse than its history shows.
- What is the economic premise? "The indicator worked last year" does not count.
- How sensitive is it to costs? High-turnover systems often hand their edge to the broker.
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Where TradeMind fits
TradeMind's Systematic Growth Strategy is not a grid or a Martingale system. Its main return engine is long-horizon QQQ exposure held through LEAPS. Rules-based premium overlays sit on top, and a risk controller caps total exposure. It has no automatic averaging down and no loss-recovery logic.
Strategy Integrity Check
Use this question on any strategy you evaluate: "If this position loses 30%, what does the system do next?" If the answer is "buy more, larger," walk away.
