Experience two decades of Gann-based analysis expertise with GannTrader. As we are committed to constant development, you are provided with the most advanced Gann software available. GannTrader’s powerful tools and modern graphics deliver precise insights for decisive 21st-century decision-making.
GannTrader gives you:
New indicators rooted in original Gann theory with innovative enhancements.
Most of Gann’s charting work was on fixed graph paper with locked scales. In that environment, a 45° line (the building block for nearly all of Gann’s methods) was easy to draw and was consistent no matter where Gann drew it on the chart. In software, our scales are constantly changing to fill the screen with the data. The tools in GannTrader have been engineered over decades to compensate for this. They use a consistent Price Unit for each security. Every Gann indicator references that unit so you don’t have to do the manual calculations.
Continue reading below for a breakdown of our Gann Analysis features.
“I wanted to repeat many of Gann’s techniques in a charting application so traders like you and me who are not mathematicians could use the advanced trading techniques of Gann. Over the last decade, I’ve met with many of the greatest educators who use Gann techniques in their trading. What I’ve learnt from these experts is invaluable. I’ve applied that knowledge to create an incredibly advanced Gann charting application.”
Mathew Verdouw, CMT, CFTe, Founder & CEO of Optuma
See a full list of our GannTraders tools and features.
Gann Analysis is a form of technical analysis developed by the renowned trader and analyst, W.D. Gann. It involves the study of price patterns, time cycles, and geometric angles to forecast future price movements in financial markets.
At its core, Gann Analysis is based on the premise that price movements in markets are not random, but follow certain mathematical relationships and cyclical patterns. Gann believed that by identifying these patterns and understanding the geometric relationships between price and time, traders could gain an edge in predicting future price behavior.
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