Finance templates

Lazy templates help developing apps for Finance. Lazy is a revolutionary software tool that turns the traditional Finance application development process on its head. Using Lazy AI, developers can create Finance apps using just prompts, freeing themselves from the complex and time-consuming coding processes.

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Financial Analysis Bot

The Financial Analysis Bot generates AI summaries of financial data for renowned US companies using the Alpha Vantage API.

Python

Emoji Financial News Bot

This app creates a Telegram bot that fetches the latest financial news from Bloomberg's RSS feed, analyzes the news titles using LLM ability, and shares it with users in the form of emoji representations. The user will be asked for their API token when they run the app.

Python
Telegram

Emoji Financial News Bot

This app creates a Telegram bot that fetches the latest financial news from Bloomberg's RSS feed, analyzes the news titles using LLM ability, and shares it with users in the form of emoji representations. The user will be asked for their API token when they run the app.

Python
Telegram

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Discord Bot

This powerful app skeleton is a great starting place for a Discord bot

Send & Post Message to Slack using API

A Rest API that sends personal messages to Slack, supporting both direct private messages to user and posting messages in threads.

Scrape Data from PDF using Python & Flask

This scraper tool extracts text from PDF files and displays it on a webpage. Built with Python and Flask. Upon running, users receive a link to access the website. Upload a text-based PDF, hit submit, and view the extracted data on an HTML page.

Get & Read Email with GMail API

This Python script uses Flask to create a web application that connects to the Gmail API and retrieves the user's unread emails. The script defines two routes: "/" displays the user's unread emails, and "/oauth2callback" is the OAuth 2.0 callback URI. Following api keys need to be set as environment secrets to authenticate with google api: 1. CLIENT_ID 2. CLIENT_SECRET 3. REDIRECT_URI

Implement Custom Stripe Checkout Page in Python & FastAPI

This app integrates a custom Stripe checkout page in a Python application. It includes both a backend and a frontend. The backend service is set up using FastAPI and is compatible with any price point established through the Stripe API. The backend service creates a Stripe checkout session and retrieves the status of a checkout session. It also allows all CORS and logs sent requests and checkout session statuses. The price ID is fetched during the request from the user. After adding the Stripe API key and directing the backend service to the price ID, the backend service can be activated by clicking the test button. The frontend code can be integrated into a Python application to create a custom payment page. This method can be used to set up various types of payment pages, including one-time payments and subscriptions. The required environment secrets for this app are STRIPE_SECRET_KEY and YOUR_DOMAIN.

Discord Welcome Bot

This bot will be designed to perform a single task on Discord, which is to welcome new users with a unique poem. The bot requires two environment variables to function properly: DISCORD_BOT_TOKEN (the token of your Discord bot) and WELCOME_CHANNEL_ID (the ID of the channel where the bot will send welcome messages).

Lazy apps can be helpful in the Finance category by automating various financial tasks and providing convenient features that save time and effort for users. Here are a few ways lazy apps can be beneficial:

  1. Expense tracking: Lazy apps can automatically track and categorize expenses by syncing with bank accounts and credit cards. This eliminates the need for manual entry and ensures accurate records of spending.
  2. Bill payment: Lazy apps can automate bill payments by linking to bank accounts and scheduling payments in advance. This helps users avoid late fees and ensures bills are paid on time without the need for manual intervention.
  3. Budgeting: Lazy apps can create and manage budgets by analyzing spending patterns and suggesting personalized budget plans. They can also send notifications and reminders to help users stay on track with their financial goals.
  4. Investment management: Lazy apps can provide automated investment management services, often referred to as robo-advisors. These apps use algorithms to create and manage investment portfolios based on user preferences and risk tolerance.
  5. Savings automation: Lazy apps can help users save money effortlessly by automatically transferring a portion of their income into savings or investment accounts. This promotes consistent saving habits without requiring users to actively manage their savings.
  6. Financial insights: Lazy apps can analyze financial data and provide users with personalized insights and recommendations. This can include identifying potential savings opportunities, suggesting better credit card options, or providing tips for improving financial health.

Overall, lazy apps in the Finance category aim to simplify and streamline financial tasks, making it easier for users to manage their money with minimal effort.

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