fix: remove unused onnx_sessions import in metadata endpoint

api: add ML model metadata endpoint for ONNX session; returns trained_date, features, and accuracy from model metadata

chore: remove redundant Dockerfiles and boilerplate main.py

docs: create professional and detailed README files for all subfolders

fix: pass PYTHONUNBUFFERED=1 to all Python processes in supervisord to prevent console log buffering

fix: resolve empty container logs on HF by routing supervisord outputs to /dev/fd/1 and /dev/fd/2 instead of /dev/stdout and /dev/stderr

feat: integrate Contextual News Sentiment (QuantIQ News Sentiment) and Earnings Calendar (QuantIQ Catalyst Watch) tools into Gemini ReAct agent loop

fix: enable strict=False in JSON extractor to parse Gemini responses containing literal raw newlines inside JSON string values

fix: filter out flat closed-market candles in both ingestion worker and graphql stock_history resolver to prevent horizontal flat-line 1D charts when market is closed

fix: force yfinance daily fallback if stock history has flat price movement (nunique close <= 1) during closed market hours

fix: add 15-minute Redis dynamic backfill lock in crud.get_stock_history to prevent hammering yfinance on cold database

fix: eliminate yfinance rate limiting - retry backoff in cached helper + Celery tasks use cached helper instead of raw yf.Ticker every 2min

fix: resolve NameError in get_ml_prediction - stale onnx_session ref left over from multi-model router refactor (should be onnx_sessions dict)

fix: add shared Redis-cached yfinance helper to eliminate rate limiting and event-loop blocking across indicator tool, ONNX predictor, and ATR calculator

fix: add yfinance daily fallback to indicator tool and ONNX predictor when local DB has <26 candles post-restart

fix: enforce JSON-only Gemini responses and add graceful plain-text fallback to prevent agent crash

fix: resolve Celery decorator syntax error and handle NaN technical indicators in ONNX prediction inputs

feat: implement weekly MLOps retraining loop and specialized multi-model router

fix: resolve Celery asyncpg event loop crash with NullPool and guard PnL division by zero

feat: implement dynamic volatility fallback with Redis DB 1 cache and category defaults

fix: resolve Celery Beat scheduling, crud logic errors, and implement ATR volatility-adjusted stop-loss levels

feat: implement dynamic historical backfilling from yfinance in get_stock_history

fix: clarify bearish framing in ReAct analyst system instructions to prevent user confusion

feat: add recently_analyzed and trending_tickers GraphQL queries utilizing prediction logs

feat: add user strategy performance tracker table, lockInStrategy GraphQL mutation, and auto-labeler updates

fix: integrate real ONNX prediction helper into Advisor chat and improve memory context guidelines

feat: add MLOps prediction logs table, background labeling task, and model metrics endpoint

fix: use google_id to store/check password hash, prevents picture_url overwrites breaking login

feat: add delete_email query param to diagnostic endpoint to reset test user registrations

feat: integrate Resend HTTP API support for firewall-safe email delivery

fix: propagate SMTP exceptions in diagnostic endpoint to display exact SMTP error details

fix: add connection timeout to smtplib SMTP/SMTP_SSL calls to prevent hanging

fix: support both SSL and TLS SMTP ports and add /auth/test-email diagnostic endpoint

feat: add secure 6-digit OTP email verification flow

fix: set database connection timeout to 30s to handle Neon cold starts

config: redirect supervisord and service logs to container stdout/stderr for HF console diagnostics

fix: manually implement protected /metrics route in main.py to fix expose type error

config: protect /metrics endpoint with Basic Auth (admin/admin) for Grafana compliance

clean: remove temporary debug endpoint before production release

debug: add temporary get-logs endpoint to endpoints.py

config: run Redpanda in dev-container mode and enable Celery root execution in supervisord

config: make model.onnx copy optional in Dockerfiles to fix HF Spaces build error

config: update fastapi server and docker ports to 7860 for hugging face spaces

refactor: migrate gemini client code to the new official google-genai SDK

fix: import asyncio globally in endpoints.py to resolve market-movers NameError

feat: integrate Prometheus metrics suite and polish landing page navigation

feat: add live Market Movers section (Top Gainers, Top Losers, Most Active)

feat: implement dynamic trending assets API sorted by price change percentage

feat: supply live stock price and calculated indicator coordinates to Chatbot context

feat: add strict entry/exit plan formatting guidelines to AI Analyst system prompt