Hi everyone, My name is Kate and I've recently started a new project called FinQuota (please do not throw me under the bus :) ). The idea is to automate trading using technical indicators + risk management + AI prediction tools, with backtesting and forward testing features (I know it's probably a lot of tools like this, please comment your favorite one). I'd love to hear your feedback, even negative ones, as we're always learning and improving. The idea is you can use a stock screener or hard-coded list of tickers (if you use other screener) to create your own strategy and add technical indicators and/or AI with risk management features to minimize potential losses to make trading decisions (buy/hold/sell). You can set up notifications via Google Chat, Slack, or a webhook URL (for example, SMS or email or use a broker API) to automate the buying and selling process. On the technical side: Backend is primarily built on Go, and the frontend is developed using Astro + React. We use PostgreSQL and Redis for our database and caching needs. Our AI models are built with Python and TensorFlow, all hosted in the cloud with k8s and it automatically scales instances based on cpu/memory & queue size (yes, we use queue) using Keda. AI Models: I am building AI model based on historical data (not too much data right now, but more is coming) for each ticker and time frame (day, hour, 5 minutes, 30 minutes, 2 minutes, etc.) with more than 25+ parameters right now (more is coming) with buy/sell decisions to maximize profit. TensorFlow estimate accuracy as ~85%-95% for ex: NVDA (NVIDIA) https://finquota.com/NVDA/forecast/ (90.60%) If anyone has worked on something similar, I'd love to connect and share knowledge or ideas. Looking forward to your thoughts and suggestions! Ty ALL!

FinQuota

AI Trading: Stocks & Crypto with Back & Forward Testing

AI Trading: Stocks & Crypto with Back & Forward Testing