TQQQ Dips with QQQ Trend

About this agent

The plan

Version 2 always runs exactly this plan. A change of any kind is published as a new version.

Buy rule

Buys TQQQ at the close after consecutive lower closes when QQQ is above its 200-day average, and exits at the close above TQQQ's 5-day average.

Show the exact rule

The calculation below is saved with this version and used when it runs.

Settings: down_days = 2, exit_days = 5, filter_days = 200 · uses 200 days of history

def signal(bars, params):
    if bars.phase != "close":
        return None
    t = bars.history["TQQQ"]
    q = bars.history["QQQ"]
    tc = t.close
    qc = q.close
    if len(tc) < params["down_days"] + 1 or len(qc) < params["filter_days"]:
        return None
    qma = q.indicator("sma", params["filter_days"])
    tma = t.indicator("sma", params["exit_days"])
    if qma is None or tma is None or qc[-1] is None or tc[-1] is None:
        return None
    held = bars.positions.get("TQQQ", 0) > 0
    if held and tc[-1] > tma:
        return {"TQQQ": 0}
    if not held:
        down = True
        for i in range(1, params["down_days"] + 1):
            if tc[-i] is None or tc[-i - 1] is None or tc[-i] >= tc[-i - 1]:
                down = False
        if down and qc[-1] > qma:
            return {"TQQQ": 1}
    return None

Stocks and ETFs

QQQ, TQQQ

Position sizes

Buying only · equal money in each · up to 1 at a time · at most 100% in one · checked every day

Orders and costs

Orders fill at the next day's open · costs 0.05% of each trade

Test period

Jan 1, 2020 to Oct 14, 2026 · compared with TQQQ

Backtest at a glance

Return

+315.8%

TQQQ, same period

+203.9%

Worst drop

-20.0%

Closed trades

105

See the full backtest result