TradeSage is an AI-powered platform offering a comprehensive suite of AI technologies for various applications. It provides access to advanced language models like GPT-4o for text generation and image understanding, and Dalle3 for image creation. The platform specializes in trading-related tools, including Pine Script generation and optimization, while also offering a wide range of AI services for work, study, and daily life tasks.
TradeSage - TradingView Enhancement Suite
Your trading copilot powered by ChatGPT Pine Script generator
Introduction
Feature
AI-Powered Trading Tools
- Generate Pine Script indicators/strategies within seconds
- Optimize trading strategies and identify most profitable inputs effortlessly
- Apply changes to existing scripts using plain English explanations
- Fix Pine Script errors instantly within the editor
Learning and Alerts
- AI-assisted learning companion for trading education
- Desktop notifications for new symbols on active screeners
Versatile AI Services
- Access to nearly 200,000 GPT models for various applications
- Free daily usage of GPT-4o (20 times per day)
- Dalle3 integration for text-to-image generation
User-Friendly Features
- No need for ChatGPT Plus subscription to access GPTs
- Works in all countries, even where ChatGPT is restricted
- Free credits upon sign-up, with Premium Plan option for unlimited access
Privacy and Data Protection
- User information not used for training data
- Option to delete account and remove all associated data
FAQ
How does TradeSage compare to ChatGPT Plus?
TradeSage utilizes an advanced version of GPT-4, optimized with contextual understanding and precision-tuning. This results in more reliable outcomes and fewer syntax errors compared to ChatGPT Plus.
What search engines does TradeSage support?
Currently, TradeSage supports Google, Bing, and other search engines, with plans to expand support in the future.
Do I need a ChatGPT or OpenAI account to use TradeSage?
No, you only need to create a free account through the TradeSage extension.
Is TradeSage available in countries where ChatGPT is banned?
Yes, the TradeSage extension works in all countries, including those where ChatGPT is restricted.
When should I consider a TradeSage subscription?
If you require more than the 20 free daily GPT-4o conversations and heavily rely on its capabilities, subscribing to TradeSage's affordable products would be beneficial.
Latest Traffic Insights
Monthly Visits
193.90 M
Bounce Rate
56.27%
Pages Per Visit
2.71
Time on Site(s)
115.91
Global Rank
-
Country Rank
-
Recent Visits
Traffic Sources
- Social Media:0.48%
- Paid Referrals:0.55%
- Email:0.15%
- Referrals:12.81%
- Search Engines:16.21%
- Direct:69.81%
Related Websites
![Batch Save ChatGPT to Notion
This is a guide on how to save multiple ChatGPT responses to Notion in a batch.
Tools You'll Need:
* ChatGPT: An AI chatbot that can generate text.
* Notion: A note-taking and project management tool.
* Python: A programming language.
* Requests Library: A Python library for making HTTP requests.
Steps:
1. Get Your Notion API Token:
- Go to your Notion workspace settings.
- Navigate to the "Integrations" tab.
- Click "Create new integration" and choose "API Token".
- Copy your API token.
2. Install Python Libraries:
- Open your terminal or command prompt.
- Type `pip install requests` and press Enter.
3. Write Python Script:
- Create a new Python file (e.g., `save_chatgpt_to_notion.py`).
- Paste the following code into the file, replacing `YOUR_NOTION_API_TOKEN` with your actual token:
```python
import requests
def save_chatgpt_response_to_notion(response, page_id, token):
"""Saves a ChatGPT response to a Notion page."""
url = f"https://api.notion.com/v1/pages/{page_id}/children"
headers = {"Authorization": f"Bearer {token}"}
data = {
"parent": {
"page_id": page_id
},
"properties": {
"title": {
"title": [
{
"text": {
"content": "ChatGPT Response"
}
}
]
},
"content": {
"rich_text": [
{
"text": {
"content": response
}
}
]
}
}
}
response = requests.post(url, headers=headers, json=data)
print(response.status_code)
Example usage
page_id = "YOUR_NOTION_PAGE_ID"
token = "YOUR_NOTION_API_TOKEN"
Get ChatGPT responses (replace with your actual ChatGPT interaction)
chatgpt_responses = [
"This is the first ChatGPT response.",
"This is the second ChatGPT response.",
"This is the third ChatGPT response."
]
Save each response to Notion
for response in chatgpt_responses:
save_chatgpt_response_to_notion(response, page_id, token)
```
4. Run the Script:
- In your terminal, navigate to the directory where you saved the Python file.
- Type `python save_chatgpt_to_notion.py` and press Enter.
5. Check Notion:
- Open your Notion workspace and go to the page specified by `page_id`.
- You should see your ChatGPT responses saved as separate blocks.](https://static.right-ai.com/tools/2024/7/4/chromewebstore-google-com-detail-save-chatgpt-to-notion-da-djefhicmpbpmmlagbgooepmbobdhajgn-thumbnail-1720087209.png "Batch Save ChatGPT to Notion
This is a guide on how to save multiple ChatGPT responses to Notion in a batch.
Tools You'll Need:
* ChatGPT: An AI chatbot that can generate text.
* Notion: A note-taking and project management tool.
* Python: A programming language.
* Requests Library: A Python library for making HTTP requests.
Steps:
1. Get Your Notion API Token:
- Go to your Notion workspace settings.
- Navigate to the \"Integrations\" tab.
- Click \"Create new integration\" and choose \"API Token\".
- Copy your API token.
2. Install Python Libraries:
- Open your terminal or command prompt.
- Type `pip install requests` and press Enter.
3. Write Python Script:
- Create a new Python file (e.g., `save_chatgpt_to_notion.py`).
- Paste the following code into the file, replacing `YOUR_NOTION_API_TOKEN` with your actual token:
```python
import requests
def save_chatgpt_response_to_notion(response, page_id, token):
\"\"\"Saves a ChatGPT response to a Notion page.\"\"\"
url = f\"https://api.notion.com/v1/pages/{page_id}/children\"
headers = {\"Authorization\": f\"Bearer {token}\"}
data = {
\"parent\": {
\"page_id\": page_id
},
\"properties\": {
\"title\": {
\"title\": [
{
\"text\": {
\"content\": \"ChatGPT Response\"
}
}
]
},
\"content\": {
\"rich_text\": [
{
\"text\": {
\"content\": response
}
}
]
}
}
}
response = requests.post(url, headers=headers, json=data)
print(response.status_code)
Example usage
page_id = \"YOUR_NOTION_PAGE_ID\"
token = \"YOUR_NOTION_API_TOKEN\"
Get ChatGPT responses (replace with your actual ChatGPT interaction)
chatgpt_responses = [
\"This is the first ChatGPT response.\",
\"This is the second ChatGPT response.\",
\"This is the third ChatGPT response.\"
]
Save each response to Notion
for response in chatgpt_responses:
save_chatgpt_response_to_notion(response, page_id, token)
```
4. Run the Script:
- In your terminal, navigate to the directory where you saved the Python file.
- Type `python save_chatgpt_to_notion.py` and press Enter.
5. Check Notion:
- Open your Notion workspace and go to the page specified by `page_id`.
- You should see your ChatGPT responses saved as separate blocks.")
Batch Save ChatGPT to Notion This is a guide on how to save multiple ChatGPT responses to Notion in a batch. Tools You'll Need: * ChatGPT: An AI chatbot that can generate text. * Notion: A note-taking and project management tool. * Python: A programming language. * Requests Library: A Python library for making HTTP requests. Steps: 1. Get Your Notion API Token: - Go to your Notion workspace settings. - Navigate to the "Integrations" tab. - Click "Create new integration" and choose "API Token". - Copy your API token. 2. Install Python Libraries: - Open your terminal or command prompt. - Type `pip install requests` and press Enter. 3. Write Python Script: - Create a new Python file (e.g., `save_chatgpt_to_notion.py`). - Paste the following code into the file, replacing `YOUR_NOTION_API_TOKEN` with your actual token: ```python import requests def save_chatgpt_response_to_notion(response, page_id, token): """Saves a ChatGPT response to a Notion page.""" url = f"https://api.notion.com/v1/pages/{page_id}/children" headers = {"Authorization": f"Bearer {token}"} data = { "parent": { "page_id": page_id }, "properties": { "title": { "title": [ { "text": { "content": "ChatGPT Response" } } ] }, "content": { "rich_text": [ { "text": { "content": response } } ] } } } response = requests.post(url, headers=headers, json=data) print(response.status_code) Example usage page_id = "YOUR_NOTION_PAGE_ID" token = "YOUR_NOTION_API_TOKEN" Get ChatGPT responses (replace with your actual ChatGPT interaction) chatgpt_responses = [ "This is the first ChatGPT response.", "This is the second ChatGPT response.", "This is the third ChatGPT response." ] Save each response to Notion for response in chatgpt_responses: save_chatgpt_response_to_notion(response, page_id, token) ``` 4. Run the Script: - In your terminal, navigate to the directory where you saved the Python file. - Type `python save_chatgpt_to_notion.py` and press Enter. 5. Check Notion: - Open your Notion workspace and go to the page specified by `page_id`. - You should see your ChatGPT responses saved as separate blocks.
Batch Save ChatGPT to Notion This is a guide on how to save multiple ChatGPT responses to Notion in a batch. Tools You'll Need: * ChatGPT: An AI chatbot that can generate text. * Notion: A note-taking and project management tool. * Python: A programming language. * Requests Library: A Python library for making HTTP requests. Steps: 1. Get Your Notion API Token: - Go to your Notion workspace settings. - Navigate to the "Integrations" tab. - Click "Create new integration" and choose "API Token". - Copy your API token. 2. Install Python Libraries: - Open your terminal or command prompt. - Type `pip install requests` and press Enter. 3. Write Python Script: - Create a new Python file (e.g., `save_chatgpt_to_notion.py`). - Paste the following code into the file, replacing `YOUR_NOTION_API_TOKEN` with your actual token: ```python import requests def save_chatgpt_response_to_notion(response, page_id, token): """Saves a ChatGPT response to a Notion page.""" url = f"https://api.notion.com/v1/pages/{page_id}/children" headers = {"Authorization": f"Bearer {token}"} data = { "parent": { "page_id": page_id }, "properties": { "title": { "title": [ { "text": { "content": "ChatGPT Response" } } ] }, "content": { "rich_text": [ { "text": { "content": response } } ] } } } response = requests.post(url, headers=headers, json=data) print(response.status_code) Example usage page_id = "YOUR_NOTION_PAGE_ID" token = "YOUR_NOTION_API_TOKEN" Get ChatGPT responses (replace with your actual ChatGPT interaction) chatgpt_responses = [ "This is the first ChatGPT response.", "This is the second ChatGPT response.", "This is the third ChatGPT response." ] Save each response to Notion for response in chatgpt_responses: save_chatgpt_response_to_notion(response, page_id, token) ``` 4. Run the Script: - In your terminal, navigate to the directory where you saved the Python file. - Type `python save_chatgpt_to_notion.py` and press Enter. 5. Check Notion: - Open your Notion workspace and go to the page specified by `page_id`. - You should see your ChatGPT responses saved as separate blocks.Save ChatGPT Conversations to Notion with One Click Export your ChatGPT conversations directly to Notion with a single click.
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![Midjourney API - Automate Midjourney AI Image Generation
This document outlines how to use the Midjourney API to automate the generation of AI images.
What is the Midjourney API?
The Midjourney API allows developers to programmatically interact with the powerful Midjourney AI model. This means you can generate images, control various parameters, and integrate Midjourney into your own applications and workflows.
Why Use the Midjourney API?
* Automation: Automate the creation of images for various purposes, such as marketing materials, website content, or research projects.
* Customization: Fine-tune image generation by controlling parameters like aspect ratio, style, and seed values.
* Integration: Seamlessly integrate Midjourney's capabilities into your existing tools and platforms.
Getting Started
1. Sign Up for a Midjourney Account: You'll need a Midjourney account to access the API.
2. Obtain an API Key: Once you have an account, you can generate an API key from your account settings.
3. Choose a Programming Language: The Midjourney API supports various programming languages, including Python, JavaScript, and Go.
4. Install the API Client: Install the appropriate API client library for your chosen language.
5. Start Generating Images: Use the API client to send image generation requests to the Midjourney server.
Example (Python):
```python
import midjourney
Replace with your actual API key
api_key = "YOUR_API_KEY"
Create a Midjourney client
client = midjourney.Client(api_key=api_key)
Generate an image
response = client.create_image(prompt="A cat wearing a hat", num_images=1)
Print the image URL
print(response.images[0].url)
```
Documentation and Resources
For detailed information about the Midjourney API, including available endpoints, parameters, and examples, please refer to the official documentation: [https://docs.midjourney.com/](https://docs.midjourney.com/)](https://static.right-ai.com/tools/2024/7/10/apiframe-pro-thumbnail-1720625482.png "Midjourney API - Automate Midjourney AI Image Generation
This document outlines how to use the Midjourney API to automate the generation of AI images.
What is the Midjourney API?
The Midjourney API allows developers to programmatically interact with the powerful Midjourney AI model. This means you can generate images, control various parameters, and integrate Midjourney into your own applications and workflows.
Why Use the Midjourney API?
* Automation: Automate the creation of images for various purposes, such as marketing materials, website content, or research projects.
* Customization: Fine-tune image generation by controlling parameters like aspect ratio, style, and seed values.
* Integration: Seamlessly integrate Midjourney's capabilities into your existing tools and platforms.
Getting Started
1. Sign Up for a Midjourney Account: You'll need a Midjourney account to access the API.
2. Obtain an API Key: Once you have an account, you can generate an API key from your account settings.
3. Choose a Programming Language: The Midjourney API supports various programming languages, including Python, JavaScript, and Go.
4. Install the API Client: Install the appropriate API client library for your chosen language.
5. Start Generating Images: Use the API client to send image generation requests to the Midjourney server.
Example (Python):
```python
import midjourney
Replace with your actual API key
api_key = \"YOUR_API_KEY\"
Create a Midjourney client
client = midjourney.Client(api_key=api_key)
Generate an image
response = client.create_image(prompt=\"A cat wearing a hat\", num_images=1)
Print the image URL
print(response.images[0].url)
```
Documentation and Resources
For detailed information about the Midjourney API, including available endpoints, parameters, and examples, please refer to the official documentation: [https://docs.midjourney.com/](https://docs.midjourney.com/)")
Midjourney API - Automate Midjourney AI Image Generation This document outlines how to use the Midjourney API to automate the generation of AI images. What is the Midjourney API? The Midjourney API allows developers to programmatically interact with the powerful Midjourney AI model. This means you can generate images, control various parameters, and integrate Midjourney into your own applications and workflows. Why Use the Midjourney API? * Automation: Automate the creation of images for various purposes, such as marketing materials, website content, or research projects. * Customization: Fine-tune image generation by controlling parameters like aspect ratio, style, and seed values. * Integration: Seamlessly integrate Midjourney's capabilities into your existing tools and platforms. Getting Started 1. Sign Up for a Midjourney Account: You'll need a Midjourney account to access the API. 2. Obtain an API Key: Once you have an account, you can generate an API key from your account settings. 3. Choose a Programming Language: The Midjourney API supports various programming languages, including Python, JavaScript, and Go. 4. Install the API Client: Install the appropriate API client library for your chosen language. 5. Start Generating Images: Use the API client to send image generation requests to the Midjourney server. Example (Python): ```python import midjourney Replace with your actual API key api_key = "YOUR_API_KEY" Create a Midjourney client client = midjourney.Client(api_key=api_key) Generate an image response = client.create_image(prompt="A cat wearing a hat", num_images=1) Print the image URL print(response.images[0].url) ``` Documentation and Resources For detailed information about the Midjourney API, including available endpoints, parameters, and examples, please refer to the official documentation: [https://docs.midjourney.com/](https://docs.midjourney.com/)
Midjourney API - Automate Midjourney AI Image Generation This document outlines how to use the Midjourney API to automate the generation of AI images. What is the Midjourney API? The Midjourney API allows developers to programmatically interact with the powerful Midjourney AI model. This means you can generate images, control various parameters, and integrate Midjourney into your own applications and workflows. Why Use the Midjourney API? * Automation: Automate the creation of images for various purposes, such as marketing materials, website content, or research projects. * Customization: Fine-tune image generation by controlling parameters like aspect ratio, style, and seed values. * Integration: Seamlessly integrate Midjourney's capabilities into your existing tools and platforms. Getting Started 1. Sign Up for a Midjourney Account: You'll need a Midjourney account to access the API. 2. Obtain an API Key: Once you have an account, you can generate an API key from your account settings. 3. Choose a Programming Language: The Midjourney API supports various programming languages, including Python, JavaScript, and Go. 4. Install the API Client: Install the appropriate API client library for your chosen language. 5. Start Generating Images: Use the API client to send image generation requests to the Midjourney server. Example (Python): ```python import midjourney Replace with your actual API key api_key = "YOUR_API_KEY" Create a Midjourney client client = midjourney.Client(api_key=api_key) Generate an image response = client.create_image(prompt="A cat wearing a hat", num_images=1) Print the image URL print(response.images[0].url) ``` Documentation and Resources For detailed information about the Midjourney API, including available endpoints, parameters, and examples, please refer to the official documentation: [https://docs.midjourney.com/](https://docs.midjourney.com/)Easily integrate Midjourney AI into your apps using the Midjourney API. Start creating AI images automatically today!
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Please provide me with the poster content you want me to translate. For example, you can give me: * Text from the poster: Copy and paste the text directly. * A picture of the poster: I can try to extract the text from the image. * A description of the poster: Tell me what the poster says and what it looks like. Once I have the poster content, I can translate it into English for you.
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