TQQQ SMA Crossover Strategy and Portfolio Analysis

Hello. Would you like to use GPT Stock Reports to find the best Technology stocks?

I want a SMA crossover strategy on TQQQ. I want a take profit strategy, but no stop losses — I’m bullish on tech long-term and don’t want to be stop lossed out. I also want to space out my buys and not go all-in at once.

Create a portfolio from this strategy with $10,000

Description:
The SMA Crossover strategy for TQQQ is designed to capture momentum in tech stocks by using a crossover of the 20-day and 50-day Simple Moving Averages (SMA). This strategy aims to enter positions when the 20-day SMA crosses above the 50-day SMA, indicating a potential upward trend. Additionally, the strategy includes a take-profit mechanism to lock in gains when the price of TQQQ exceeds 1.1 times the 20-day SMA, ensuring that profits are realized without relying on stop losses. To manage risk and avoid going all-in at once, the strategy spaces out buys by ensuring at least one day has passed since the last buy order. This approach aligns with a bullish long-term outlook on tech stocks, allowing for gradual accumulation of positions while capturing upward momentum.
JSON:

Re-create this portfolio

Attachment: [{
"_id": "66e720e25eaefb549eeb3e51",
"userId": "63d96768efc1160d9c5e1482",
"name": "GPT-o1-mini TQQQ",
"deployment": {
"type": "paper-trading",
"frequency": "OpenClose"
},
"initialValue": 10000,
"buyingPower": 11.938485981884241,
"commissionPaid": 0,
"createdAt": "2024-09-15T18:01:06.602Z",
"main": false,
"active": true,
"positions": [
{
"asset": {
"name": "TQQQ",
"symbol": "TQQQ",
"type": "Stock"
},
"quantity": 135.94602306461238,
"lastPrice": 82.14,
"averageCost": 82.02094227573282
}
],
"strategies": [
{
"_id": "66e720e25eaefb549eeb3e47",
"name": "Buy 2500 dollars in TQQQ Stock when (50 Day TQQQ SMA > 200 Day TQQQ SMA) and (# of Days Since the Last Filled Buy Order of TQQQ ≥ 7)",
"userId": "63d96768efc1160d9c5e1482",
"condition": {
"name": "(50 Day TQQQ SMA > 200 Day TQQQ SMA) and (# of Days Since the Last Filled Buy Order of TQQQ ≥ 7)",
"_id": "66e720e2bd26b85b3c942f6e",
"comparison": null,
"conditions": [
{
"lhs": {
"targetAsset": {
"name": "TQQQ",
"type": "Stock",
"symbol": "TQQQ"
},
"window": {
"length": 50,
"interval": "Day"
},
"type": "SimpleMovingAverage",
"name": "50 Day TQQQ SMA"
},
"rhs": {
"targetAsset": {
"name": "TQQQ",
"type": "Stock",
"symbol": "TQQQ"
},
"window": {
"length": 200,
"interval": "Day"
},
"type": "SimpleMovingAverage",
"name": "200 Day TQQQ SMA"
},
"name": "(50 Day TQQQ SMA > 200 Day TQQQ SMA)",
"_id": "66e720e29f783a5ac614fa65",
"comparison": "greaterThan",
"type": "Base"
},
{
"lhs": {
"targetAssets": [
{
"name": "TQQQ",
"type": "Stock",
"symbol": "TQQQ"
}
],
"side": "Buy",
"type": "DaysSinceOrder",
"orderStatus": "Filled",
"name": "# of Days Since the Last Filled Buy Order of TQQQ"
},
"rhs": {
"value": 7,
"type": "Value",
"name": "7"
},
"name": "(# of Days Since the Last Filled Buy Order of TQQQ ≥ 7)",
"_id": "66e720e2524a30942226ade7",
"comparison": "greaterThanOrEqual",
"type": "Base"
}
],
"description": "All conditions must be true",
"example": "If asset is sold to open and the price is above the buy price, ...",
"type": "And"
},
"createdAt": "2024-09-15T18:01:06.602Z",
"action": {
"type": "Buy",
"targetAsset": {
"name": "TQQQ",
"type": "Stock",
"symbol": "TQQQ"
},
"amount": {
"amount": 2500,
"type": "dollars"
}
},
"automaticOrderApproval": false
},
{
"_id": "66e720e25eaefb549eeb3e49",
"name": "Sell 100 percent of current positions in TQQQ Stock when (14 Day TQQQ Rate of Change > 15)",
"userId": "63d96768efc1160d9c5e1482",
"condition": {
"name": "(14 Day TQQQ Rate of Change > 15)",
"_id": "66e720e2289481a403d28221",
"comparison": null,
"conditions": [
{
"lhs": {
"targetAsset": {
"name": "TQQQ",
"type": "Stock",
"symbol": "TQQQ"
},
"window": {
"length": 14,
"interval": "Day"
},
"type": "PriceRateOfChange",
"name": "14 Day TQQQ Rate of Change"
},
"rhs": {
"value": 15,
"type": "Value",
"name": "15"
},
"name": "(14 Day TQQQ Rate of Change > 15)",
"_id": "66e720e291b1bc1e0b0ccbe1",
"comparison": "greaterThan",
"type": "Base"
}
],
"description": "All conditions must be true",
"example": "If asset is sold to open and the price is above the buy price, ...",
"type": "And"
},
"createdAt": "2024-09-15T18:01:06.602Z",
"action": {
"type": "Sell",
"targetAsset": {
"name": "TQQQ",
"type": "Stock",
"symbol": "TQQQ"
},
"amount": {
"amount": 100,
"type": "percent of current positions"
}
},
"automaticOrderApproval": false
}
]
}]

Description:
The portfolio "GPT-o1-mini TQQQ" is designed to capitalize on the momentum of the ProShares UltraPro QQQ (TQQQ) stock, which is a 3x leveraged ETF tracking the NASDAQ-100 Index. The strategy involves two main components:

1. Buy Strategy: The portfolio will buy $2,500 worth of TQQQ when the 50-day Simple Moving Average (SMA) crosses above the 200-day SMA, indicating a potential bullish trend. Additionally, the strategy ensures that at least 7 days have passed since the last buy order to space out purchases and avoid going all-in at once. This approach helps in gradually accumulating positions and taking advantage of upward momentum.
2. Sell Strategy: The portfolio will sell 100% of the current positions in TQQQ when the 14-day Price Rate of Change (ROC) exceeds 15%. This condition suggests a significant upward momentum, and selling at this point helps in locking in profits and managing risk.
   The portfolio starts with an initial value of $10,000 and aims to leverage the volatility and potential gains offered by TQQQ while implementing risk management through spaced-out buys and a clear sell condition based on price momentum.
   JSON:

Backtest both these portfolios for the past year. Compare them to TQQQ as the baseline

JSON:

backtest both these portfolios for the past 5 years. Use TQQQ as the baseline

backtest these portfolios for the past 10 years

Refine, finalize strategy and provide Pine script code in version 6

Below is a refined, finalized Pine Script strategy (version 6) that implements the two conditions found in the "GPT-o1-mini TQQQ" portfolio:

• A buy order is triggered when the 50‑day SMA is greater than the 200‑day SMA and at least 7 days have passed since the last filled buy (this is tracked using the bar index on the daily chart). In a real trading system you might need a more advanced mechanism to track order fills, but here we use bar count for simplicity.
• A sell order is triggered when the 14‑day rate of change (percentage) exceeds 15%.

Copy the code below into TradingView’s Pine Script editor (ensuring you’re on a daily timeframe) and adjust any parameters if needed.

---

//@version=6
strategy("GPT-o1-mini TQQQ Strategy", overlay=true, initial_capital=10000, currency=currency.USD, default_qty_type=strategy.fixed)

// Calculate SMAs
sma50 = ta.sma(close, 50)
sma200 = ta.sma(close, 200)

// Calculate 14-day Rate of Change (ROC) as a percentage
roc14 = ((close - close[14]) / close[14]) * 100

// Variable to store the bar index when the last buy was executed
var int lastBuyBar = na

// Define buy condition: SMA50 > SMA200 and at least 7 bars since the last buy
buyCondition = (sma50 > sma200) and (na(lastBuyBar) or (bar_index - lastBuyBar >= 7))

// Define sell condition: 14-day ROC exceeds 15%
sellCondition = roc14 > 15

// Execute buy: use a fixed dollar amount by converting dollars to contract quantity
if buyCondition
// Determine quantity to purchase based on $2500 dollars at current price
qty = 2500 / close
strategy.entry("Long", strategy.long, qty=qty)
// Reset lastBuyBar at the moment of a new buy entry
lastBuyBar := bar_index

// Execute sell: close the existing position when the sell condition is met
if sellCondition
strategy.close("Long")

// Plot SMAs for visual reference
plot(sma50, color=color.blue, title="50 Day SMA")
plot(sma200, color=color.red, title="200 Day SMA")

---

This Pine Script version 6 strategy replicates the refined conditions from the portfolio. You can further adjust the parameters or the quantity calculation as needed for your trading style.