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Buy TQQQ in steps on a big drop, step down to QLD when QQQ breaks its prior high, and trim QLD back into QQQ when RSI overheats. A community-shared cycle, summarized by structure and risk.
"Buy TQQQ on the drop and switch to QLD on the way up" and "sell QLD on the way up and add TQQQ on the drop" describe the same strategy in a different order. The rule needs a judgment about where the market is, so it is used with only a portion of capital, not all of it.
Community posts describe this method in two ways. One says "buy TQQQ on the drop, sell it on the way up and buy QLD". The other says "sell QLD on the way up, hold the cash, and add TQQQ on the drop". Both describe the same strategy in a different order. This article is the operator's own rewrite of the strategy's structure and risks, based on a community answer by Gyuni.
Leverage goes up at only one moment, after a big drop, and comes down at two: the prior-high breakout and overheating. So most of the time leverage is low, and 3× is held only briefly. That is the biggest difference from holding TQQQ all the time.
The rule only works if you judge whether this is a big drop and whether the market is overheated. That means it contains a forecast of where the market is. During a drop you cannot buy because it looks like it will fall further, and during a rise you cannot trim because it looks like it will rise further. That is the human default (Investor psychology). The rule looks simple, but it is hard to keep in practice.
Here is a simple example. The yardstick is the QQQ (1×) price, not the 3× ETF.
The numbers are only an example. The point is to set in numbers, in advance, when you buy, when you switch and when you trim. An eye for whether price is near the top or the bottom of its channel helps. If that is hard, write numeric rules and follow them as written (Plan before entry).
This is what the original stressed most. Running all of your capital this way is very hard. The base is an S&P 500 or Nasdaq 1× ETF at the core, with this rule used only for the portion aimed at extra return. Apply a rule that contains a forecast to everything, and one wrong call shakes everything (Asset allocation).
This rule also goes by a community name, but each part belongs to a known idea.
Search terms: dynamic leverage, tactical asset allocation, scaling in, volatility targeting, HFEA, leveraged ETF decay, 무한매수법, 밸류 리밸런싱.
The "James Lee" method (a YouTuber). It is known for keeping a 1× index ETF as the base position and adding 2× and 3× positions as the index falls. The skeleton, raising leverage as the market falls, is the same as this article's rule. The difference is how you get out. This rule also sets in numbers when to step 3× down to 2× on a prior-high breakout and 2× down to 1× when overheated, and then repeats that cycle. If only the way up is defined and the way down is loose, you end up holding 3× for a long time during the recovery.
The casino Martingale. After every loss, you bet double the previous stake. The drawdown ladder (10% at -10%, 20% at -20%, 30% at -30%, 40% at -40%) looks similar because it buys more the further the market falls. But the premise is different. In Martingale every round is independent and the expected value is negative, so a long losing streak runs into the table limit or your bankroll first, and one loss wipes out all the earlier gains. This rule rests on the premise that a broad index eventually gets back to its prior high, and it sets the end of the ladder (the cash limit) in advance. The resemblance is in the shape. The difference is in the premise and the limit. Still, in a long slump where that premise fails, this rule shows the same weakness as Martingale, because there is no rule below the last rung of the ladder.
The inputs this rule reads are the same ones Confluence Zone reads through regime and RSI. What differs is how they are used. This site treats regime as a gate and uses the score only for timing inside it. This rule uses that judgment to change leverage itself. The basket method ignores regime and runs on one target amount, so it is the opposite of this rule. The more a rule tries to read the market, the harder it is to keep. In exchange, this rule gets entries in downturns and trimming in overheated stretches.
This article does not recommend any ETF or set drawdown or weight figures. The numbers in the article are the source's simple examples. This site's Backtesting tab has an experimental model that turns these rules into numbers, but it does not reproduce the source's results, and its defaults (15/25/35/45% per drawdown step, half of QLD moved to QQQ and cash when overheated) were chosen by the operator. Volatility decay, tax, currency and product-structure risks of leveraged ETFs are yours to check. Everything here is reference information based on past, public data and is not investment advice.
Cross-rebalancing backtest results · The basket method · Asset allocation · Investor psychology · Plan before entry · Reading indicators
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