Magnificent Seven equal-weight rebalance

TL;DR

The Magnificent Seven recipe targets equal weights in seven fixed stocks, but its saved rebalance rule waits until more than 14 days after the last filled buy. Its March 2017 to March 2026 archive row reports 1,353.09% total return with 49.28% drawdown; fees and the SPY outcome are unrecorded there. Across 110 matching execution groups, only 28 have paired baseline outcomes and 13 of those show a positive median difference. Repeated submissions and overlapping periods do not establish independent evidence of outperformance.

An archived result to compare with your first test

Stored medians from the first archived setup. Expand its dates, capital, fees and benchmark below to compare the inputs with your own test.

Start with one recorded equal-weight allocation outcome

This recorded group starts with $10000.00 and reports 1353.09% total return over 2017-03-11 to 2026-03-11. Endpoint arithmetic gives $145,309.00 from the displayed rounded return. Its 49.28% drawdown remains part of that result.

The recorded SPY baseline outcome and fees are unrecorded in this row. Inspect the 28 groups with paired outcomes in the complete table before deciding whether the allocation beat its comparator; the long first period alone cannot settle that comparison.

Translate equal target weights into an actual rebalance decision

Allocation worksheet, separate from the archive: at $10,000 total portfolio value with seven equal targets, each target is $10,000 / 7 = $1,428.57 before rounding and costs. If MSFT is worth $2,000 and AAPL $1,000, target differences are a $571.43 MSFT reduction and $428.57 AAPL increase. Work through the other five assets and cash before converting dollars into share quantities.

The stored rule waits until days since the last filled buy exceeds 14; it is not an unconditional calendar order every 14 days. Whole-share constraints, selling proceeds, available cash and fees can prevent exact targets. Keep the exact configuration below with your reproduction.

A useful first experiment

Start with $10,000.00 and the period 2017-03-11 through 2026-03-11. Keep the template unchanged for your first test.

1. 1. Open the template

   Select the library button, inspect the rules and choose Use template. Keep the original assets, conditions and action amounts.

2. 2. Set up one test

   Open the backtester, enter the dates and capital above, and save the interval, fees and benchmark you select alongside the result.

3. 3. Read the completed result

   Compare return and drawdown with the benchmark, then inspect the orders and costs. If no orders occur, check the conditions and data coverage.

4. 4. Try one change

   Keep your first configuration as a reference. Change one threshold or allocation and test a separate period before considering paper trading.

What to learn from this recipe

Read the asset universe, entry conditions and purchase amounts in the rule summary. Keep the template unchanged at first so you can distinguish a configuration change from a change in the test period.

Explore the recorded comparisons

28 of 110 execution groups have recorded paired baseline outcomes. 13 of those 28 groups have a positive median return difference against their recorded baseline. Inspect each group's dates, assets and costs alongside those outcomes.

The lowest group median was -0.47% over 2026-03-01 through 2026-03-15, with $10000.00 initial test capital. Inspect that period alongside the positive rows before choosing this template.

The table preserves the stored Sharpe values and records each group's risk-free input separately. Use those fields when comparing runs.

Existing backtests of these exact recorded rules

We matched this public template's complete ordered conditions and actions to the existing September archive. 110 recorded execution groups match its thresholds, indicator operands, assets and allocations. No new backtest was created for this page.

Every matching recorded period appears below, including losses. Each row groups repeated submissions with the same recorded dates, tickers, capital, fees, cadence, interval, baseline and risk-free input. Median outcomes and their range describe those submissions; repeated copies are not independent experiments.

The first group records Day/daily; equity; AAPL, AMZN, GOOGL, META, MSFT, NVDA, TSLA; stock fee unrecorded; crypto fee unrecorded; recorded risk-free 0.7900000214576721. Save your chosen settings alongside a new run, including any field shown as unrecorded in the archive.

To inspect your completed run, follow rule activation, order execution, fractional quantities and dividend entries in the events. Keep those settings with the result when comparing another version.

All recorded periods and execution inputs

Universe and allocation

The recipe holds MSFT, AAPL, GOOGL, AMZN, NVDA, META and TSLA with equal target weights and rebalances every 14 days. The universe is explicitly fixed; it does not remove delisted assets or rank new candidates.

Exact library configuration

{
  "_id": "6acba50e8b26bd179f7bc0ac",
  "name": "Buy MSFT, AAPL, GOOGL, AMZN, NVDA, META and TSLA. Put the same amount in each. Hold at most 7. Rebalance whenever days since the last filled buy order is above 14.",
  "userId": null,
  "active": true,
  "condition": {
    "lhs": {
      "compound": false,
      "targetAssets": [],
      "side": "Buy",
      "form": {
        "fields": [
          {
            "fields": [
              {
                "helperText": "Matches order events with this side (buy or sell)",
                "name": "side",
                "label": "Order side",
                "required": true,
                "fieldType": "select",
                "values": [
                  "Buy",
                  "Sell"
                ],
                "value": "Buy"
              }
            ],
            "multiple": false,
            "deletable": false
          },
          {
            "fields": [
              {
                "helperText": "Matches order events with this status",
                "name": "orderStatus",
                "label": "Order Status",
                "required": true,
                "fieldType": "select",
                "values": [
                  "Pending",
                  "Accepted",
                  "Pending User Approval",
                  "Canceled",
                  "Filled",
                  "Partially Filled"
                ],
                "value": "Filled"
              }
            ],
            "multiple": false,
            "deletable": false
          },
          {
            "fields": [
              {
                "helperText": "Ticker name (ex. SPY, BTC)",
                "name": "targetAssets.name",
                "label": "Asset Name",
                "required": false,
                "fieldType": "text",
                "value": ""
              },
              {
                "helperText": "Ticker type (ex. Stock, Crypto)",
                "name": "targetAssets.type",
                "label": "Asset Type",
                "required": false,
                "fieldType": "select",
                "values": [
                  "Stock",
                  "Cryptocurrency"
                ],
                "value": "Stock"
              }
            ],
            "multiple": true,
            "deletable": false
          }
        ]
      },
      "type": "DaysSinceOrder",
      "orderStatus": "Filled",
      "name": "# of Days Since the Last Filled Buy Order"
    },
    "rhs": {
      "compound": false,
      "targetAssets": [],
      "value": 14,
      "form": {
        "fields": [
          {
            "fields": [
              {
                "helperText": "Constant value",
                "name": "value",
                "label": "Value",
                "required": true,
                "fieldType": "number",
                "value": 14,
                "min": -100,
                "max": 100,
                "globalMin": -1000000,
                "globalMax": 1000000,
                "isInteger": false
              }
            ],
            "multiple": false,
            "deletable": false
          }
        ]
      },
      "type": "Value",
      "name": "Constant 14"
    },
    "name": "# of Days Since the Last Filled Buy Order > Constant 14",
    "_id": "6acba50e195a075ee2f4cf1b",
    "comparison": "greaterThan",
    "type": "Base",
    "description": "Left-Hand indicator (comparator) Right-Hand Indicator",
    "example": "If the Rate of Change of Apple's price is > the Value 0."
  },
  "createdAt": "2026-10-11T15:02:38.091Z",
  "action": {
    "type": "DynamicRebalance",
    "universe": {
      "source": "SPECIFIC_ASSETS",
      "assets": [
        {
          "name": "MSFT",
          "type": "Stock",
          "symbol": "MSFT"
        },
        {
          "name": "AAPL",
          "type": "Stock",
          "symbol": "AAPL"
        },
        {
          "name": "GOOGL",
          "type": "Stock",
          "symbol": "GOOGL"
        },
        {
          "name": "AMZN",
          "type": "Stock",
          "symbol": "AMZN"
        },
        {
          "name": "NVDA",
          "type": "Stock",
          "symbol": "NVDA"
        },
        {
          "name": "META",
          "type": "Stock",
          "symbol": "META"
        },
        {
          "name": "TSLA",
          "type": "Stock",
          "symbol": "TSLA"
        }
      ]
    },
    "pipeline": [],
    "weightIndicator": {
      "compound": false,
      "targetAssets": [],
      "value": 1,
      "form": {
        "fields": [
          {
            "fields": [
              {
                "helperText": "Constant value",
                "name": "value",
                "label": "Value",
                "required": true,
                "fieldType": "number",
                "value": 1,
                "min": -100,
                "max": 100,
                "globalMin": -1000000,
                "globalMax": 1000000,
                "isInteger": false
              }
            ],
            "multiple": false,
            "deletable": false
          }
        ]
      },
      "type": "Value",
      "name": "Constant 1"
    },
    "limit": 7
  },
  "orderExecution": {
    "type": "Market"
  },
  "automaticOrderApproval": false
}

Test the rebalance

Open the library and search for this allocation recipe. Preview its fixed seven-stock universe and 14-day rebalance interval, choose Use template, then review the copied allocation before testing. Compare the same starting capital and date range with a buy-and-hold portfolio. Review turnover, available cash, fractional-share support and fees. A calendar rebalance does not establish that equal weights will outperform.

Use paper trading to observe the orders produced by the weights before connecting a broker. Broker capability and buying power can change whether an order is accepted.