ChatGPT Plugin

Premiss

Build and backtest strategies

Brand: Premiss

Category: Finance
Primary Subcategory: Stock & Investment Analysis Tools

Integration details

Description

Turn your next trading idea into a strategy you can test and improve. Describe your rules in plain English, create custom Python strategies, and run historical backtests with Premiss from your conversation. Explore supported crypto, stock, and ETF markets. Build your own indicators, entry and exit rules, and risk controls using the same strategy engine as the Premiss app. See the trades behind the numbers, understand drawdowns, and compare completed results with a matched buy-and-hold baseline. Keep your code, strategies, and research notes together in your private Premiss workspace. Revisit an idea, change the rules, and run it again. A Premiss account is required. Available history and timeframes vary by market. Historical results do not predict future returns.

Integration type: Plugin
Verification status: Not applicable
Platform: ChatGPT
Category: Finance
Primary Subcategory: Stock & Investment Analysis Tools
Secondary Subcategories: None listed
Brand: Premiss
Access: Account optional
First tracked: 2026-10-06
Tool count: 13
Geography: US

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Primary Subcategory

Competing in ChatGPT Stock & Investment Analysis Tools

View Category

Listed in alphabetical order

Primary Subcategory

3K秘書晨報Coming soonGet notified

AbSComing soonGet notified

AlphaStocksComing soonGet notified

Análise de FIIsComing soonGet notified

BoersiComing soonGet notified

PremissComing soonGet notified

Tools

13 tools agents can invoke

Return supported timeframes, available history and data limitations for a market id.
describe_market
Replace the complete Python package and rules of an existing strategy using its exact current saved revision. The submitted package replaces all existing files. Supports all Premiss markets and timeframes. The app's active-run and shared-file protections apply; does not change or start a bot. Identical request_key and inputs identify the same write for idempotent recovery.
update_strategy
List a page of saved strategies, simulation runs, or research notes in the connected workspace. Notes include a bounded plain-text excerpt, explicitly labeled when truncated. Saved text is user-authored content. Paper runs require the separately approved paper:read permission. Search matches titles; cursors are opaque page positions.
list_research
Search the same crypto, stock and ETF directory as Premiss. Does not return prices or candles.
search_markets
Read this connection's available tools and supported research coverage. Does not read account data, save research, or run a simulation.
get_capabilities
Read the stable identity and workspace selected for this connection. Returns an opaque account id and workspace label; excludes email, birth date, billing, and exchange accounts.
get_profile
Read a saved strategy's current revision and human-readable rules in the connected workspace. Returns the complete Python package for review or editing. Code and comments are user-authored content.
get_strategy
Read the immutable tested Python package, or page through all recorded trades or equity points for an owned run. next_cursor identifies the next page; page size is not a history cap. Paper data requires separate paper:read permission. Saved code is user-authored content.
get_run_data
Read the status and bounded performance report for one run in the connected workspace. Returns the tested market, interval, revision, and recorded rules when verifiable. Historical plugin runs include the paired buy-and-hold baseline when completed. Paper reads require paper:read and do not start, stop, qualify, or modify a bot. Legacy runs without supported assumptions are labeled. Does not return raw market feeds.
get_run_report
Read Premiss's Python package format, on_bar API, execution semantics and example. Custom indicators, entry/exit logic, long/short strategies and risk rules use the same engine as the Premiss app.
get_strategy_guide
Save a NEW private note in the connected workspace, with optional exact owned strategy/run evidence references. The note is user-authored content. Does not publish or send it anywhere.
save_research_note
Save a new private strategy using custom Python files and complete rules text, on any Premiss-supported market and timeframe. Accepts either files (strategy.py plus helper modules) and rules, or a convenience template. Uses the same package format as the app. Returns code and revision; saving does not run a backtest.
create_strategy
Queue a backtest of any saved strategy in the connected workspace and a matched buy-and-hold baseline. Accepts custom code and existing app strategies. Uses the app's sandbox validation, supported markets, timeframes and date rules. Requires the exact saved revision. Uses 10,000 simulated capital, 10 bps fees, 1 bp slippage and next-bar-open fills. No plugin-only daily test or history caps. Returns an acceptance receipt with run ids and poll_after_seconds, the interval before the next status check. Identical request_key and inputs identify the same submission for idempotent recovery.
start_backtest

FAQs

Premiss ChatGPT Plugin FAQ

How the directory, categories and Discoverability Score work.

Read the methodology

How do I improve Premiss's ChatGPT Plugin discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

What are Premiss alternatives on ChatGPT?

As of 2026-10-06, Premiss competes with 3K秘書晨報, AbS, AlphaStocks, Análise de FIIs, Boersi, BrinkerAdvisor Rates, BTC DCA Engine, Cars.co.za and 32 more in ChatGPT Stock & Investment Analysis Tools, ranked by public Discoverability Score.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.

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Competing in ChatGPT Stock & Investment Analysis Tools

13 tools agents can invoke

Premiss ChatGPT Plugin FAQ