TL;DR
NexusTrade provides saved strategy research, backtests and paper observation before a direct Public brokerage connection. Public native Agents handle workflows inside the brokerage, while Public MCP gives an external assistant account tools. These are separate routes: the MCP connector does not import NexusTrade portfolios into native Public Agents. Check available account features, asset approvals and which system owns execution; this comparison contains no matched live-fill or performance test.
Inspect an actual NexusTrade strategy
Buy 100% of the available cash in GOOG whenever GOOG's 50-day average price is at or above its 200-day average price and days since the last filled buy order of GOOG is above 14 and days since the last filled buy order of GOOG is above 3.
Buy GOOG 50 Day GOOG SMA ≥ 200 Day GOOG SMA and # of Days Since the Last Filled Buy Order of GOOG > Constant 14 and # of Days Since the Last Filled Buy Order of GOOG > Constant 3
Sell 100% of the portfolio worth of GOOG whenever GOOG's 50-day average price is at or below its 200-day average price and days since the last filled buy order of GOOG is above 14 and days since the last filled sell order of GOOG is above 3.
Sell 100% GOOG 50 Day GOOG SMA ≤ 200 Day GOOG SMA and # of Days Since the Last Filled Buy Order of GOOG > Constant 14 and # of Days Since the Last Filled Sell Order of GOOG > Constant 3
Worked example: review Google rules before choosing an account
Open the exact Google library preview below and inspect both rule cards. Copy or customize the rules in NexusTrade before running a historical test. Check the completed test period, orders and allocation sizes, then observe a separate paper portfolio. Those records belong to the NexusTrade workflow.
If you later select a Public account for live execution, confirm the account identity, buying power and instrument permissions in Live Trading. Recheck the saved portfolio and deployment settings. Do not activate a native Public Agent and a NexusTrade portfolio for the same intended orders without deciding which system owns execution.
Choose account monitoring or strategy research
Choose the workflow you need
Choose which system owns the task: NexusTrade rules, Public native Agents or an external MCP client.
Compare the actual object you need to keep: inspectable saved rules, a code artifact, an allocation tree or a brokerage workflow. The dated source sections describe the available routes.
Work through the declared example
Open the saved Google rules. Check their historical test and separate Paper portfolio before selecting a Public account.
Open this exact Google recipeKeep the example's declared rules and units with the resulting object. A proposed translation remains separate from an executed matched test.
Review the same task in Aurora
Open the prepared review using the exact example. Keep source dates, rule differences and account requirements with your comparison.
The request previews the selected artifact. Record returned results separately from reviewed code or documentation.
Choose NexusTrade for saved research and tests before Public execution
NexusTrade is the stronger fit when you want to inspect a strategy definition and historical experiment before connecting a Public account. Its direct Public brokerage integration lets the research workspace and brokerage serve different roles. Public native Agents are a good fit when the task belongs entirely inside the brokerage, such as account monitoring or cash movement.
Public also offers an external MCP server. That connector gives another assistant account tools; it does not import a NexusTrade portfolio into native Public Agents. Keep those three routes separate when choosing your workflow.
What Public documents, and what still needs an account check
Public describes prompt-created native workflows, activation approval, activity records and transaction history. Public says some illustrated capabilities are not yet available. Use the available workflow in your own account as the eligibility check; a marketing example alone is not proof that a particular trigger is supported.
Check Public fees, asset access and options approval alongside the NexusTrade plan and research usage. This page does not report matched backtests, live fills or execution speed. The NexusTrade screenshot proves the saved rule interface, not that Public accepted an order.
Compare the working model
Show the table · 4 rows, 3 columns
Scroll sideways to compare all columns. Select a heading to sort.
| Rule authoring | Saved indicators, conditions and actions | Native Public Agent workflow proposed from a prompt |
| Validation | Historical backtests and separate paper deployments | Review proposed workflows and trade scenarios; check account feature availability |
| Broker access | Direct Public account connection in NexusTrade | Native Public account or external Public MCP |
| Audit trail | Saved configuration, results and deployed portfolio history | Native activity feed and transaction ledger |
No matching rows. Clear the filter to see all records.
Use the direct Public connection in NexusTrade
Open Live Trading in NexusTrade, select Public and complete the connection flow for your account. Confirm the account and buying power before selecting it for a live portfolio. Test the rules in paper trading and inspect proposed order sizing first.
The implementation supports stocks, crypto and options, including multi-leg options, subject to account approval. Broker permissions and asset availability still determine which orders can be accepted.
Use Public MCP when you want an external client
Public documents a separate remote server at https://mcp.public.com/mcp with browser authorization. Use the Public setup instructions for your client. Authorizing that connector can permit account reads and orders; it does not create a NexusTrade portfolio or make Public responsible for the external agent.
What the saved rules mean
Inspect the complete conditions and allocation export
The buy rule checks whether the 50-day moving average is at least the 200-day average, with more than 14 days since the last buy and an additional more-than-3-day buy check. The sell rule checks the inverse state, with more than 14 days since the last buy and more than 3 days since the last sell. These are state checks with cooldowns. They do not require a new crossing event.
The JSON below retains the library conditions and actions while omitting editor forms, generated identifiers and timestamps. It is a semantic export for inspection, not a saved customer portfolio.
The buy spends 100% of buying power; the sell uses 100% of portfolio value. Equality meets both moving-average comparisons. There is no explicit zero-position entry guard. Review those details before changing the recipe or translating it to another engine.
View complete record
[
{
"name": "Buy 100% of the available cash in GOOG whenever GOOG's 50-day average price is at or above its 200-day average price and days since the last filled buy order of GOOG is above 14 and days since the last filled buy order of GOOG is above 3.",
"userId": null,
"active": true,
"condition": {
"name": "50 Day GOOG SMA ≥ 200 Day GOOG SMA and # of Days Since the Last Filled Buy Order of GOOG > Constant 14 and # of Days Since the Last Filled Buy Order of GOOG > Constant 3",
"type": "And",
"description": "All conditions must be true",
"example": "If Apple's price is up today but down for the week.",
"conditions": [
{
"lhs": {
"compound": false,
"targetAsset": {
"name": "GOOG",
"type": "Stock",
"symbol": "GOOG"
},
"targetAssets": [],
"window": {
"length": 50,
"interval": "Day"
},
"type": "SimpleMovingAverage",
"name": "50 Day GOOG SMA"
},
"rhs": {
"compound": false,
"targetAsset": {
"name": "GOOG",
"type": "Stock",
"symbol": "GOOG"
},
"targetAssets": [],
"window": {
"length": 200,
"interval": "Day"
},
"type": "SimpleMovingAverage",
"name": "200 Day GOOG SMA"
},
"name": "50 Day GOOG SMA ≥ 200 Day GOOG SMA",
"comparison": "greaterThanOrEqual",
"type": "Base",
"description": "Left-Hand indicator (comparator) Right-Hand Indicator",
"example": "If the Rate of Change of Apple's price is > the Value 0."
},
{
"lhs": {
"compound": false,
"targetAssets": [
{
"name": "GOOG",
"type": "Stock",
"symbol": "GOOG"
}
],
"side": "Buy",
"type": "DaysSinceOrder",
"orderStatus": "Filled",
"name": "# of Days Since the Last Filled Buy Order of GOOG"
},
"rhs": {
"compound": false,
"targetAssets": [],
"value": 14,
"type": "Value",
"name": "Constant 14"
},
"name": "# of Days Since the Last Filled Buy Order of GOOG > Constant 14",
"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."
},
{
"lhs": {
"compound": false,
"targetAssets": [
{
"name": "GOOG",
"type": "Stock",
"symbol": "GOOG"
}
],
"side": "Buy",
"type": "DaysSinceOrder",
"orderStatus": "Filled",
"name": "# of Days Since the Last Filled Buy Order of GOOG"
},
"rhs": {
"compound": false,
"targetAssets": [],
"value": 3,
"type": "Value",
"name": "Constant 3"
},
"name": "# of Days Since the Last Filled Buy Order of GOOG > Constant 3",
"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."
}
]
},
"action": {
"type": "Buy",
"targetAsset": {
"name": "GOOG",
"type": "Stock",
"symbol": "GOOG"
},
"amount": {
"type": "percent of buying power",
"amount": 100
}
},
"orderExecution": {
"type": "Market"
},
"automaticOrderApproval": false
},
{
"name": "Sell 100% of the portfolio worth of GOOG whenever GOOG's 50-day average price is at or below its 200-day average price and days since the last filled buy order of GOOG is above 14 and days since the last filled sell order of GOOG is above 3.",
"userId": null,
"active": true,
"condition": {
"name": "50 Day GOOG SMA ≤ 200 Day GOOG SMA and # of Days Since the Last Filled Buy Order of GOOG > Constant 14 and # of Days Since the Last Filled Sell Order of GOOG > Constant 3",
"type": "And",
"description": "All conditions must be true",
"example": "If Apple's price is up today but down for the week.",
"conditions": [
{
"lhs": {
"compound": false,
"targetAsset": {
"name": "GOOG",
"type": "Stock",
"symbol": "GOOG"
},
"targetAssets": [],
"window": {
"length": 50,
"interval": "Day"
},
"type": "SimpleMovingAverage",
"name": "50 Day GOOG SMA"
},
"rhs": {
"compound": false,
"targetAsset": {
"name": "GOOG",
"type": "Stock",
"symbol": "GOOG"
},
"targetAssets": [],
"window": {
"length": 200,
"interval": "Day"
},
"type": "SimpleMovingAverage",
"name": "200 Day GOOG SMA"
},
"name": "50 Day GOOG SMA ≤ 200 Day GOOG SMA",
"comparison": "lessThanOrEqual",
"type": "Base",
"description": "Left-Hand indicator (comparator) Right-Hand Indicator",
"example": "If the Rate of Change of Apple's price is > the Value 0."
},
{
"lhs": {
"compound": false,
"targetAssets": [
{
"name": "GOOG",
"type": "Stock",
"symbol": "GOOG"
}
],
"side": "Buy",
"type": "DaysSinceOrder",
"orderStatus": "Filled",
"name": "# of Days Since the Last Filled Buy Order of GOOG"
},
"rhs": {
"compound": false,
"targetAssets": [],
"value": 14,
"type": "Value",
"name": "Constant 14"
},
"name": "# of Days Since the Last Filled Buy Order of GOOG > Constant 14",
"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."
},
{
"lhs": {
"compound": false,
"targetAssets": [
{
"name": "GOOG",
"type": "Stock",
"symbol": "GOOG"
}
],
"side": "Sell",
"type": "DaysSinceOrder",
"orderStatus": "Filled",
"name": "# of Days Since the Last Filled Sell Order of GOOG"
},
"rhs": {
"compound": false,
"targetAssets": [],
"value": 3,
"type": "Value",
"name": "Constant 3"
},
"name": "# of Days Since the Last Filled Sell Order of GOOG > Constant 3",
"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."
}
]
},
"action": {
"type": "Sell",
"targetAsset": {
"name": "GOOG",
"type": "Stock",
"symbol": "GOOG"
},
"amount": {
"type": "percent of portfolio",
"amount": 100
}
},
"orderExecution": {
"type": "Market"
},
"automaticOrderApproval": false
}
]
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