free hit counter

Udemy - AI Investing and Trading - From Beginner To Real Market S...

Category: Other
Type: Tutorials
Language: English
Total Size: 1.8 GB
Uploaded By: freecoursewb
Downloads: 37795
Last checked: Sep. 26th '26
Date uploaded: Sep. 26th '26
Seeders: 25965
Leechers: 8903
INFO HASH: A41F12BCF99C9D3F3CDBFA05E3EE3BF138418D4F

AI Investing & Trading: From Beginner To Real Market System

https://WebToolTip.com

Published 9/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.78 GB | Duration: 4h 15m

Cut research from hours to 15 minutes. AI, tools & method for busy professionals. Apply it in a live trading day.

What you'll learn
Understand how the stock market works and distinguish long-term investing, swing trading, and day trading using AI.
Complete an end-to-end real-time trading-day simulation from premarket preparation through journal and review.
Use AI to summarize research, organize watchlists, review charts, calculate risk, and improve post-trade analysis.
Apply AI and portfolio thinking to investing, trading, risk, and smarter decisions.
Build a repeatable workflow that moves from market context and premarket scanning to trade planning and journaling.
Create long and short trade plans with a defined entry, protective stop, profit target, rejection rule, and reward-to-risk calculation.
Apply fundamental analysis to revenue, earnings, margins, debt, cash flow, valuation, catalysts, and business risk.
Use technical analysis to identify trends, support, resistance, multi-timeframe levels, volume behavior, and confirmation signals.
Use scanners, alerts, Level II, Time and Sales, and platform layouts without becoming overwhelmed by market data.
Build a basic AI Trading Platform in Google Colab without needing prior programming experience.
Design a safe automation roadmap from manual checklists to alerts, scans, backtests, and paper-trading workflows.
Apply an execute, wait, or reject decision gate instead of forcing a trade.

Requirements
No prior investing, finance, accounting, stock market or programing experience is required.