Rule summary
Buy 20% of the available cash in META every trading day.
Buy META
Buy 20% of the available cash in AAPL every trading day.
Buy AAPL
Buy 20% of the available cash in AMZN every trading day.
Buy AMZN
Buy 20% of the available cash in NFLX every trading day.
Buy NFLX
Buy 20% of the available cash in GOOGL every trading day.
Buy GOOGL
What this recipe does
FAANG (with Netflix): Buy the most original FAANG tech stocks and hold them using 20% of your buying power
Exact strategy rules
These are the library's actual rule definitions. Conditions, assets, position sizing and order actions are shown together so the strategy can be inspected before it is copied.
json
[
{
"_id": "6aca340a8b1862f84f25e9bb",
"name": "Buy 20% of the available cash in META every trading day.",
"userId": null,
"active": true,
"condition": {
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"targetAssets": [],
"value": 1,
"form": {
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],
"multiple": false,
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]
},
"type": "Value",
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},
"rhs": {
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"form": {
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{
"fields": [
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],
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]
},
"type": "Value",
"name": "Constant 1"
},
"name": "always",
"_id": "6aca340ada1c4478ec5fc405",
"comparison": "equal",
"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": "2026-10-10T12:48:10.988Z",
"action": {
"type": "Buy",
"targetAsset": {
"name": "META",
"type": "Stock",
"symbol": "META"
},
"amount": {
"type": "percent of buying power",
"amount": 20
}
},
"orderExecution": {
"type": "Market"
},
"automaticOrderApproval": false
},
{
"_id": "6aca340a8b1862f84f25e9bd",
"name": "Buy 20% of the available cash in AAPL every trading day.",
"userId": null,
"active": true,
"condition": {
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"targetAssets": [],
"value": 1,
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},
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},
"type": "Value",
"name": "Constant 1"
},
"name": "always",
"_id": "6aca340aca294b0102768e15",
"comparison": "equal",
"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": "2026-10-10T12:48:10.988Z",
"action": {
"type": "Buy",
"targetAsset": {
"name": "AAPL",
"type": "Stock",
"symbol": "AAPL"
},
"amount": {
"type": "percent of buying power",
"amount": 20
}
},
"orderExecution": {
"type": "Market"
},
"automaticOrderApproval": false
},
{
"_id": "6aca340a8b1862f84f25e9bf",
"name": "Buy 20% of the available cash in AMZN every trading day.",
"userId": null,
"active": true,
"condition": {
"lhs": {
"compound": false,
"targetAssets": [],
"value": 1,
"form": {
"fields": [
{
"fields": [
{
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"isInteger": false
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],
"multiple": false,
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]
},
"type": "Value",
"name": "Constant 1"
},
"rhs": {
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"targetAssets": [],
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"form": {
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},
"type": "Value",
"name": "Constant 1"
},
"name": "always",
"_id": "6aca340a7ca2a33212620e9e",
"comparison": "equal",
"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": "2026-10-10T12:48:10.988Z",
"action": {
"type": "Buy",
"targetAsset": {
"name": "AMZN",
"type": "Stock",
"symbol": "AMZN"
},
"amount": {
"type": "percent of buying power",
"amount": 20
}
},
"orderExecution": {
"type": "Market"
},
"automaticOrderApproval": false
},
{
"_id": "6aca340a8b1862f84f25e9c1",
"name": "Buy 20% of the available cash in NFLX every trading day.",
"userId": null,
"active": true,
"condition": {
"lhs": {
"compound": false,
"targetAssets": [],
"value": 1,
"form": {
"fields": [
{
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{
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],
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]
},
"type": "Value",
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},
"rhs": {
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"targetAssets": [],
"value": 1,
"form": {
"fields": [
{
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{
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],
"multiple": false,
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]
},
"type": "Value",
"name": "Constant 1"
},
"name": "always",
"_id": "6aca340abbbd4055156b4f87",
"comparison": "equal",
"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": "2026-10-10T12:48:10.988Z",
"action": {
"type": "Buy",
"targetAsset": {
"name": "NFLX",
"type": "Stock",
"symbol": "NFLX"
},
"amount": {
"type": "percent of buying power",
"amount": 20
}
},
"orderExecution": {
"type": "Market"
},
"automaticOrderApproval": false
},
{
"_id": "6aca340a8b1862f84f25e9c3",
"name": "Buy 20% of the available cash in GOOGL every trading day.",
"userId": null,
"active": true,
"condition": {
"lhs": {
"compound": false,
"targetAssets": [],
"value": 1,
"form": {
"fields": [
{
"fields": [
{
"helperText": "Constant value",
"name": "value",
"label": "Value",
"required": true,
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"max": 100,
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"globalMax": 1000000,
"isInteger": false
}
],
"multiple": false,
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}
]
},
"type": "Value",
"name": "Constant 1"
},
"rhs": {
"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"
},
"name": "always",
"_id": "6aca340ad7df395f3ae68cf4",
"comparison": "equal",
"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": "2026-10-10T12:48:10.988Z",
"action": {
"type": "Buy",
"targetAsset": {
"name": "GOOGL",
"type": "Stock",
"symbol": "GOOGL"
},
"amount": {
"type": "percent of buying power",
"amount": 20
}
},
"orderExecution": {
"type": "Market"
},
"automaticOrderApproval": false
}
]Before testing
Open the library, find this recipe by its title and preview the rules. Choose Use template for a built-in entry, or Add to portfolio for a saved entry. Review the copied rules and customize their thresholds and allocations before testing. Choose a historical period and starting capital in the portfolio backtester. Check trade count, drawdown, costs and a benchmark before enabling a paper portfolio. A recipe is a configuration, not a performance result.
A completed test should show the selected period, orders and portfolio statistics. If it records no trades, inspect the entry conditions and selected assets before loosening rules. If market data is missing or the run fails, keep the error and fix the coverage issue before comparing results. Changing a threshold or allocation changes the strategy. Keep the original definition and compare changes on a separate period rather than selecting settings from one favorable result.