Master the Confluence of Astrology, Gann, Technical Analysis

Where Time Meets Price: Master Astro-Finance, Gann, Technical Analysis, AI & Back testing for Advanced Market Research
What you'll learn

---

Master the Astro finance set up
Back tested strategy's
Easy tools with excel sheets and ready made work sheets
How to catch big move in Gold, Silver and some stocks
Requirements

---

Complete my first course then join
Description

---

Decode Time, Price & Planetary Cycles to Build a Data-Driven Trading Framework
Master the Confluence of Astrology, Gann, Technical Analysis & Market Timing
From Market Prediction to Research-Driven Trading: Astro-Finance, Gann & Back testing
Understand Why the Market Moves - Time, Price, Cycles, Planets & Data
Advanced Market Timing Through Astro-Finance, Gann, Price Action & AI
Where Time Meets Price: An Advanced Framework for Market Analysis
Discover the Hidden Relationship Between Time, Price, Cycles & Market Behavior
Build, Test & Refine Advanced Trading Setups Using Astro-Finance and Market Data
"Where Time Meets Price: Master Astro-Finance, Gann, Technical Analysis, AI & Back testing for Advanced Market Research"
By completing theAdvanced Astro-Finance Trading Course, students will learn to move beyond the basic question,"Which stock should I trade?" and develop a structured framework for asking deeper questions:Why this stock? Why this sector? Why this date? Why this price? Where are the important support and resistance levels? What planetary configuration exists? What does historical data and back testing show? And, most importantly, where is the risk?
The core objective of this advanced level is to integrate multiple analytical disciplines into one research-driven trading framework
Astro-Finance + Fundamentals + Seasonality + DOB Analysis + Gann + Fibonacci + Technical Analysis + Price Action + Back testing + AI Tools = Advanced Trading Framework
Students will learn how to combine traditional market analysis with Astro-Finance concepts without relying on any single indicator, planetary position, or prediction. They will understand howNakshatra, Thithi, planetary movements and configurations can be studied alongside price action and market structure to identify potential periods of volatility, trend changes and significant market movements.
The course will also introduceAI-powered tools and workflows designed to make research, data analysis, historical testing and Astro-Finance studies more efficient. Students will learn how AI can assist in organizing planetary data, identifying historical patterns, comparing dates, generating research hypotheses and improving the speed of market analysis.
Key Advanced Learning Areas
Nakshatra & Thithi Analysis: Learn how Nakshatra and Thithi can be incorporated into intraday research and market timing studies.
Catching Big Moves: Develop a framework for identifying potential high-momentum moves in NIFTY, Bank NIFTY and other indices using multiple confirmations.
Stock DOB Analysis: Study how a stock's incorporation/listing date and the trader's DOB can be incorporated into an experimental research framework.
Advanced Setups: Learn multi-factor setups combining technical, fundamental, cyclical and Astro-Finance variables.
Gann & Fibonacci: Apply price-time relationships, Gann angles, important degrees, Fibonacci levels and market geometry.
Historical Back testing: Test hypotheses against historical market data rather than accepting assumptions blindly.
Mercury Planet Trading Setup: Study Mercury-related market configurations and develop rules for researching their historical relationship with price, volatility and trend behavior.
Risk Management: Define entry, stop-loss, target, position size and risk-to-reward parameters before taking a trade.
The ultimate goal is to help students develop the mindset of amarket researcher and systematic trader, rather than simply following predictions.
Important: Planetary and DOB-based relationships taught in this course should be treated asresearch and trading frameworks, not guaranteed predictors of market direction or returns. Every hypothesis should be validated using historical data, statistical analysis, back testing and paper trading before being considered for live-market application.
Who this course is for

---

Expert level
Homepage

---