The model sees enough upward opportunity for the strategy to be active.
Separate static algorithm silo
Q-Signal System
Q-Signal is separate from the regime, pivot, and strategy-signal framework. The current model example uses QQQ: active when the static algorithm sees enough upward opportunity, and cash when it does not.
This page explains a research model and signal process. It is not personalized investment advice, a managed account service, broker execution, or a guarantee of future performance.
What it does
The static model decides when QQQ has enough upward opportunity to be active.
The Q-Signal system is intentionally simple. The idea is straightforward: when the model turns on, the strategy is active. When the model turns off, the strategy can free up cash and wait for the next qualified opportunity.
This is not a day-trading or few-day trading plan. A position may continue for months or years. In other periods, there may be no trade for months or years because the model does not see the kind of upward growth opportunity it is designed to capture.
The model no longer sees enough opportunity or sees risk conditions that justify stepping aside.
The posted level is usually informational. Most weeks require no action.
Long cash periods are not a failure. They are the model refusing weak opportunity.
Forward signal history
This is not only a backward-looking tuned example.
WealthVelocity has followed and posted Q-Signal updates in real market conditions for years. When an image or report shows the strategy as active, that means the live signal state was active at that time.
The model is not presented as perfect hindsight. Real signal history can include imperfect moments, such as exiting during uncertain conditions and later re-entering when the evidence improves. That behavior is part of the value: the model follows its rules without needing the investor to invent a new opinion every week.
The investor still has to follow the model, accept cash periods, notice Friday risk updates when they matter, and avoid overriding the strategy because of short-term market emotion.
Q-Signal trade record
Imperfect and effective compounded gains.
The Q-Signal trade history includes excellent long holds, losing trades, cash periods, exits that were not ideal in hindsight, and later re-entries when the evidence improved. That is the point: the model does not need to be perfect to be useful. It needs to follow a repeatable process that can compound effectively over time.
The current trade shown below began on July 14, 2025 and remains active as of June 5, 2026. The supplied active model image showed a weekly stop/risk level of 607.75 for that open trade.
This record does not include the dot-com bubble period because those signal dates were not published. That matters because the dot-com bubble was one of the most euphoric boom markets in history. The record below is not a perfect bull-market-only scenario; it includes difficult periods such as the mortgage and housing crisis, the 2020 pandemic shock, and later market drawdowns.
The advantage is not simply finding good entry dates. The advantage is compounding: stepping aside during major dumps, preserving capital, and often buying back in at a better price instead of riding a position toward the bottom and wondering how low it can go.
| Signal On | Entry Price | Signal Off | Exit Price | Gain | Weeks |
|---|---|---|---|---|---|
| 4/12/1999 | 25.43 | 8/16/2007 | 41.54 | 63.4% | 435 |
| 11/5/2007 | 53.86 | 1/18/2008 | 45.15 | -16.2% | 10 |
| 5/5/2008 | 48.73 | 9/16/2008 | 41.47 | -14.9% | 19 |
| 6/1/2009 | 35.73 | 8/24/2015 | 93.79 | 162.5% | 325 |
| 11/16/2015 | 109.74 | 2/8/2016 | 94.91 | -13.5% | 12 |
| 4/4/2016 | 110.31 | 12/19/2018 | 153.77 | 39.4% | 141 |
| 2/19/2019 | 171.39 | 3/9/2020 | 193.44 | 12.9% | 55 |
| 6/15/2020 | 232.44 | 1/24/2022 | 335.14 | 44.2% | 84 |
| 1/30/2023 | 292.93 | 4/4/2025 | 438.14 | 49.6% | 113 |
| 7/14/2025 | 553.99 | Active | Active | Open | Open |
Why this is practical
A broad basket, Friday updates, and real compounding behavior.
QQQ is easier to trade than a single favorite stock because it is a broad basket of major growth and technology companies. The investor is not depending on one company report, one CEO, one product cycle, or one surprise headline. The basket structure makes the strategy cleaner and reduces the pressure to analyze every individual stock inside it.
The Q-Signal model summary showed compounded gains of 1100.3%. That figure matters because the advantage is not only being right on one trade. The advantage is letting gains build across multiple completed cycles while stepping aside during periods where the model does not see enough opportunity.
Cash periods may also create optional flexibility. WealthVelocity is not managing that cash, but an investor may choose to keep parked capital in a money market fund, high-yield cash account, Treasury vehicle, or another suitable allocation while waiting for the next active signal. Those possible ancillary gains are separate from the QQQ trade record, but they are part of why freeing cash can be more useful than staying attached to a weakening position.
This strategy includes trailing stop-loss logic, with an updated stop or risk level posted each Friday. Most weeks, this is simply information to know. When the level matters, members use it as the place where the strategy would consider selling, but the level should not be entered as a visible broker stop order.
Visible stop orders can attract short, sharp price moves that briefly reach obvious levels before recovering. Keeping the level private helps the member use the risk rule without advertising it to the market.
Who it fits
Best for investors who want a cleaner core plan.
This strategy is most natural for someone who wants exposure to a broad growth and technology basket, but does not want to rotate constantly between individual stocks or sectors.
It may also fit investors who are bothered by daily market flutter. Instead of reacting to every move, they can follow the active or cash signal state and watch for Friday updates that actually require attention.
The investor wants fewer decisions and is willing to wait.
The investor can accept that the model may exit and later re-enter without being ideal.
The investor wants frequent trades, constant market exposure, or day-to-day excitement.