babymore87
MyBoerse.bz Pro Member
AI Investing & Trading From Beginner To Real Market System
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.
Description
This course contains the use of artificial intelligence.Welcome to AI Investing & Trading: From Beginner to Real Market System,This course was designed for busy professionals who want to understand investing and trading, use AI responsibly, and make more disciplined decisions without spending the entire day watching charts.You do not need to be a programmer, quantitative analyst, or full-time trader to build a structured approach to the stock market. You will begin with the foundations: how the stock market works, the difference between investing and trading, basic order types, investment choices, and risk profiles. You will then learn how fundamental and technical analysis work together to support research, timing, risk placement, and trade selection.The course converts those concepts into a practical operating system. You will learn how to review market direction, scan premarket movers, validate catalysts, apply price and volume filters, map levels across multiple timeframes, and build a complete long or short trade plan. Every plan includes the price where you buy or sell, protective stop price, target price, profit-protection rule, position size, reward-to-risk calculation, and a clear reason to reject the opportunity.AI is used as a decision-support assistant-not as an autonomous trader. You will use structured prompts to analyze companies, organize watchlists, review technical evidence, calculate risk, summarize market activity, and audit your own process. You will also learn where AI can be wrong, stale, incomplete, or overconfident, and which decisions must remain under human control.For hands-on practice, the course includes a beginner-friendly Google Colab project that lets you build a basic AI Trading Copilot without writing code. Using guided fields and sample data, the Copilot classifies market bias, filters candidates, reviews weighted support and resistance, builds long and short scenarios, applies expected-value and signal gates, calculates position size, and returns EXECUTE, WAIT, or REJECT for a paper-trading exercise.The course culminates in a real-time trading-day simulation. You will follow the complete workflow from premarket preparation to candidate selection, technical mapping, risk planning, decision gating, paper execution or a stand-aside decision, and end-of-day journaling. The objective is not to predict the market or promise profits. The objective is to build a process that is clear, repeatable, reviewable, and risk-aware.You will receive practical resources including AI prompt libraries, a trade-journal template, a risk calculator, a daily AI market-review template, an automation blueprint, practical exercises, assessments, and the final project: Build Your First AI Trading System.This course is educational and does not provide personalized investment, financial, legal, or tax advice. Examples and simulations are for learning purposes, and no strategy can guarantee future results.
Busy professionals who want a structured introduction to investing and trading without spending all day monitoring the market.,Beginner or developing swing traders and day traders who need stronger planning, risk limits, and journaling discipline.,Developers, Finance, data, product, technology, and operations professionals who want to explore practical AI applications in the stock market.,Anyone willing to practice with simulations and paper trading before considering real capital.,IT portfolio professionals who want trading skills to improve how they manage IT investments.,Entrepreneurs and independent professionals who want to understand market analysis, risk management, and automation workflows.,Managers, consultants, healthcare professionals, legal professionals, accountants, educators, sales professionals, and other nontechnical learners interested in using AI for financial research and decision support.,Learners interested in building a basic AI Trading in Google Colab without prior programming experience.
Homepage
Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live
No Password - Links are Interchangeable
