Forex-Rates

Description

Forex Rates: Price analysis for currency markets. Gain insights, sentiment evaluation, and text completion.

Details

Added6 months ago

Votes0

Total Installations0

Categoryfinance

Websiteforex-gpt.ai

https://live.forex-gpt.ai/.well-known/ai-plugin.json

{
    "schema_version": "v1",
    "name_for_human": "Forex-Rates",
    "name_for_model": "forex_gpt",
    "description_for_human": "Forex Rates: Price analysis for currency markets. Gain insights, sentiment evaluation, and text completion.",
    "description_for_model": "When a user asks ChatGPT for 'EUR/USD analysis since January', the plugin needs to interpret this user input and convert it into parameters that the Oanda API understands. User Input: Ensure the user is aware of the correct format for their request. For instance, 'What is the overall sentiment for the EUR/USD currency pair since January?' Parameter Extraction: 'EUR/USD' corresponds to the 'instrument' parameter, and it should be passed as 'EUR_USD'. 'since January' corresponds to the 'from_time' parameter. However, the Oanda API expects this parameter in a specific format, for example '2023-01-01T00:00:00.000000000Z' for January 1, 2023. Time Format: Implement a function to convert the user's input (e.g., 'since January') into the required format for the 'from_time' parameter. Granularity and Price Parameters: If 'granularity' and 'price' parameters are not specified by the user, ask the user to provide these details to ensure the analysis is as accurate and relevant as possible. Default values can be used if the user prefers not to specify. Note that asking for just the bid price or just the ask price will make the message smaller, allowing a larger duration for a given time-series or more granular time-series for a given duration. For example, if the maximum is one hour for one-minute candles when getting both bid and ask prices, you may be able to get two hours of bid-only data for the same range. Error Handling: If the time-frame and granularity cause a message that is too big, an error will trigger. Provide clear instructions on how to avoid this error and what to do if it occurs. Market Hours: Before attempting to fetch prices, check if the Forex market is currently open. The Forex market operates 24 hours a day from 5 p.m. EST on Sunday until 4 p.m. EST on Friday. Outside of these hours, the market will be closed, and the API may not be able to fetch the latest prices. Examples: Provide a range of examples to cover a variety of user inputs. For instance: 'What is the overall sentiment for the EUR/USD currency pair using ten-minute candles for the past nine hours, excluding volume data?' 'What is the overall sentiment for the GBP/USD currency pair using sixty-minute candles for the past sixty hours, excluding volume data?' 'What is the overall sentiment for the USD/JPY currency pair using monthly candles for the past sixty months, using bid prices only and excluding volume?' Disclaimer: Any analysis is not investment advice and is for educational purposes only. Forex trading involves substantial risk and is not suitable for everyone. Past performance is not indicative of future results.",
    "auth": {
        "type": "none",
        "permissions": [
            "tabs",
            "contextMenus"
        ]
    },
    "api": {
        "type": "openapi",
        "url": "https://live.forex-gpt.ai/openapi.yaml",
        "is_user_authenticated": false
    },
    "logo_url": "https://live.forex-gpt.ai/logo.png",
    "contact_email": "forexgptai@gmail.com",
    "legal_info_url": "https://forex-gpt.ai"
}

https://live.forex-gpt.ai/openapi.yaml

openapi: 3.0.1
info:
  title: Forex Rates powered by OpenAI
  description: Unleash Forex Rates; Advanced analysis for currency markets. Gain insights, sentiment evaluation, and text completion.
  version: 'v1'
servers:
  - url: https://live.forex-gpt.ai
oanda:
  hostname: api-fxpractice.oanda.com
  streaming_hostname: stream-fxpractice.oanda.com
  port: 443
  ssl: true
  token: YOUR_OANDA_TOKEN
  username: YOUR_OANDA_USERNAME
  accounts:
    - YOUR_ACCOUNT_ID_1
    - YOUR_ACCOUNT_ID_2
  active_account: YOUR_ACTIVE_ACCOUNT_ID
paths:
  /analyze:
    post:
      operationId: analyze
      x-openai-isConsequential: false
      summary: Analyze text
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/analyzeRequest'
      responses:
        "200":
          description: OK
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/analyzeResponse'
  /generate:
    post:
      operationId: generate
      x-openai-isConsequential: false
      summary: Generate text
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/generateRequest'
      responses:
        "200":
          description: OK
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/generateResponse'
  /complete:
    post:
      operationId: complete
      x-openai-isConsequential: false
      summary: Complete text
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/completeRequest'
      responses:
        "200":
          description: OK
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/completeResponse'
  /search:
    post:
      operationId: search
      summary: Search for text
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/searchRequest'
      responses:
        "200":
          description: OK
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/searchResponse'
  /playground:
    post:
      operationId: playground
      x-openai-isConsequential: false
      summary: Use the OpenAI playground
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/playgroundRequest'
      responses:
        "200":
          description: OK
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/playgroundResponse'
  /prices:
    post:
      operationId: prices
      x-openai-isConsequential: false
      summary: Get historical prices from the OANDA API
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/pricesRequest'
      responses:
        "200":
          description: OK
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/pricesResponse'
components:
  schemas:
    analyzeRequest:
      type: object
      required: 
        - text
      properties:
        text:
          type: string
          description: The text to analyze.
        entities:
          type: array
          items:
            type: object
            properties:
              type:
                type: string
                description: The type of entity.
              start:
                type: integer
                description: The start index of the entity.
              end:
                type: integer
                description: The end index of the entity.
              text:
                type: string
                description: The text of the entity.
    analyzeResponse:
      type: object
      properties:
        sentiment:
          type: string
          description: The overall market sentiment based on the analysis.
        smas:
          type: object
          additionalProperties:
            type: number
          description: A dictionary of Simple Moving Averages (SMAs) for various periods.
        error:
          type: string
          description: Error message in case the analysis fails.
    generateRequest:
      type: object
      required: 
        - prompt
      properties:
        prompt:
          type: string
          description: The prompt for the generator.
        temperature:
          type: number
          format: float
          description: The temperature of the generator.
          default: 0.5
    generateResponse:
      type: object
      properties:
        generated_text:
          type: string
          description: The generated text.
    completeRequest:
      type: object
      required: 
        - text
      properties:
        text:
          type: string
          description: The text to complete.
    completeResponse:
      type: object
      properties:
        completed_text:
          type: string
          description: The completed text.
    searchRequest:
      type: object
      required: 
        - query
      properties:
        query:
          type: string
          description: The search query.
    searchResponse:
      type: object
      properties:
        results:
          type: array
          items:
            type: object
            properties:
              title:
                type: string
                description: The title of the search result.
              url:
                type: string
                description: The URL of the search result.
    playgroundRequest:
      type: object
      required: 
        - code
      properties:
        code:
          type: string
          description: The code to execute in the OpenAI playground.
    playgroundResponse:
      type: object
      properties:
        output:
          type: string
          description: The output of the code execution in the OpenAI playground.
    pricesRequest:
      type: object
      required: 
        - instrument
        - from_time
        - granularity
        - price
      properties:
        instrument:
          type: string
          description: The instrument to get historical prices for.
        from_time:
          type: string
          description: The start time for retrieving historical prices.
        granularity:
          type: string
          description: The granularity of the historical prices.
        price:
          type: string
          description: The price type to retrieve (e.g., BA, BC, BO).
    pricesResponse:
      type: object
      properties:
        prices:
          type: array
          items:
            type: object
            properties:
              timestamp:
                type: string
                description: The timestamp of the price.
              bid:
                type: object
                properties:
                  o:
                    type: string
                    description: The open bid price.
                  h:
                    type: string
                    description: The high bid price.
                  l:
                    type: string
                    description: The low bid price.
                  c:
                    type: string
                    description: The close bid price.
              ask:
                type: object
                properties:
                  o:
                    type: string
                    description: The open ask price.
                  h:
                    type: string
                    description: The high ask price.
                  l:
                    type: string
                    description: The low ask price.
                  c:
                    type: string
                    description: The close ask price.

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