Hey everyone! I’m on the hunt for a skilled programmer to help me build some Telegram bots for my stock market channel. I need someone who knows their way around both coding and the US stock market.
Here’s what I’m thinking:
- A bot that grabs the latest stock market news
- Another one to spot the biggest losers of the day
- A third bot to suggest trades based on market conditions
I’m pretty sure we’ll be using Python for this, but I’m open to other ideas if you’ve got 'em. There might be more bots down the line, too.
If you’re up for the challenge, let’s chat about the details and figure out a fair price. I’m excited to see what we can create together!
Anyone here have experience with this kind of project? I’d love to hear your thoughts or suggestions.
hey there, i’ve done some telegram bots befor. python’s gr8 for this stuff. for news, try newsapi. for trade sugestions, be careful not to get in sec trouble. start simple indicators & watch for api limits. good luck!
I’ve actually built a few stock market bots for Telegram in the past, and I can offer some insights. Python is definitely a solid choice for this project, especially with libraries like python-telegram-bot and yfinance.
For the news bot, you might want to consider using NewsAPI or a similar service to aggregate financial news. The biggest losers bot is fairly straightforward to implement using stock data APIs.
The trade suggestion bot is trickier and requires careful consideration. You’ll need to define clear criteria for trade suggestions and include appropriate disclaimers to avoid any legal issues.
One thing to keep in mind is API rate limits and costs. Depending on the data sources you use, you might need to implement caching or limit update frequencies to avoid excessive API calls.
Lastly, make sure to prioritize security. You’re dealing with financial data, so proper encryption and user authentication are crucial.
Hope this helps with your project planning!
I’ve worked on similar projects before, and there are a few important points to consider. First, ensure you’re complying with financial regulations when providing stock advice. It’s crucial to include proper disclaimers.
For data sources, consider using Alpha Vantage or IEX Cloud. They offer reliable APIs with good documentation. You’ll need to handle rate limits carefully to avoid service disruptions.
Regarding the trade suggestion bot, implement a robust backtesting system to validate your strategy before going live. This will help you refine the algorithm and avoid potential losses.
Lastly, don’t underestimate the importance of error handling and logging. Markets can be unpredictable, and your bots need to gracefully handle unexpected situations.
If you need any specific advice on implementation, feel free to ask.