u/Private_Tank

I’m building a Hermes agent that analyzes marketplace listings. The setup is fairly straightforward: it receives a marketplace link as input, has access to the marketplace API to fetch listing details, and can also use web search. The intended flow is to extract all relevant product information from the link, find comparable listings on the market, and then perform a structured comparison including price, condition, and key specifications. The final output should be a simple score from 0 to 10, where 0 means a bad deal and 10 means a very good deal.

In practice, the agent often doesn’t behave as expected. Sometimes it stops after acknowledging the task, sometimes it asks for confirmation instead of continuing, and other times it ignores the available tools entirely. Even when it does proceed, the output is usually incomplete and lacks proper market comparison.

I’m trying to understand what typically causes this kind of behavior. Is it usually a prompting issue, a tool routing or agent architecture problem, missing constraints in the output format, or something specific to how Hermes handles execution? Any practical debugging advice would help.

I will NEVER use them. You took away daily AB from me. I would be even fine with a 0.5 trade ratio

Probably Not but idk

Hi guys,

i just started out researching information about daytrading. I got myself TradingView, created a Papertrade account and limited it to 100$ since I dont want to train using unreasonably high values of money.

I have a few questions:

1. Is it even worth trading with a few bucks?

2. What is the best place to start?

3. Is there a must see video, where I can learn the fundamentals?

Until now I tried trading SOLANA, but everytime I place an Order I immediately am in the red for some reason and the chart need to climb A LOT for me to get in the green slightly. Is this normal?

Also ive seen a lot of traders using the long/short graph to place orders but then I can only place limt orders. Is the limit order the way to go? I though market orders make the most sense, since you place the order at the time you make a decision.

Is there a good reliable http addon? WebStreamr was nice for a while but I feel like its completely not reliable. And when you find something you get the Player Playback error

I’m working on a project where I want to build an application that evaluates listings of used heavy machinery (e.g., excavators, loaders) and assigns a score indicating whether the asking price is good or bad and ranking it on a scale.

The challenge is that my dataset is relatively small and somewhat mixed. Im currently scraping my dataset as good as possible from different marketplaces and extract the different information into a postgre database. Fields include things like year, operating hours, condition, and price, but not always consistently filled.

My initial idea was to train a machine learning model to predict “fair price” and compare it to the asking price. However, given the limited and noisy data, I’m unsure if this is the right approach.

If anyone has experience with pricing models on sparse/heterogeneous datasets, I’d appreciate input on architecture or general approach. I know its an ambitious project but I would be really happy if I could get it roughly working for the start.

If you need any more information I would love to have chat with you