GTF Eye
At 9:15 AM, when the Indian stock market opens, thousands of retail traders stare at glowing screens. Alerts begin to flash. Breakouts. Volume spikes. Gap-ups. Momentum reversals.
Yet for many traders, decision-making feels more complicated than ever. The issue is not the absence of information. It is the overload of it.
This paradox-abundant data, limited clarity-is what led to the creation of GTF Eye, stock scanner developed by the mentorship and research team at Get Together Finance (GTF), a Jaipur-based stock market institute known for its demand-supply-focused trading philosophy.
Unlike conventional screeners that focus purely on algorithmic conditions, GTF Eye, a stock scanner, positions itself differently: not as a faster scanner, but as a second pair of eyes.
Traditional stock scanners are designed for efficiency. They filter markets using preset conditions-moving average crossovers, RSI triggers, volume breakouts, price highs, and dozens of algorithmic combinations.
On paper, this appears powerful.
In practice, however, it often creates a new problem: too many signals, too little conviction.
A trader tracking 150 stocks may receive 20 alerts in a single session. Every breakout looks promising. Every volume spike feels urgent. Without structural context, execution becomes reactive.
"Most traders don't fail because they lack tools. They fail because they lack structure," says Arun Singh Tanwar, CEO of GTF, a stock market institute.
According to him, speed without interpretation is incomplete. "Markets are driven by participation, not indicators alone. If you don't understand where demand and supply truly sit, you're just reacting."
Instead of asking, "Which stocks meet these numerical conditions?" GTF Eye begins with a more context-driven question:
"Which stocks truly deserve attention right now?"
This shift reflects years of live-market mentorship observations at GTF. During live sessions, mentors noticed a recurring pattern. Even disciplined traders were:
The gap was not knowledge. It was structured at the scanning stage.
Ravish Khatri, head of mentors at GTF, explains the philosophy in the simplest form: "We didn't want to build another signal tool. We wanted to build a second pair of eyes-something that helps traders filter before they analyze."
GTF Eye is called a human stock scanner. It is because most stock screeners in the market work on pre-defined algorithms. They scan stocks using fixed technical rules like indicators, price levels, or volume conditions.
GTF Eye is different.
It was created by GTF to help traders save time and reduce effort. Instead of showing long and confusing stock lists, it focuses only on stocks that are:
Unlike traditional algorithm-based screeners, GTF Eye is continuously monitored by GTF's experts and mentors. It is not left running on autopilot. The research team studies stocks in real time, observes market behaviour, and keeps the scanner updated based on structured demand-supply logic.
Behind this human stock scanner, there are real people-mentors and researchers-who analyze, refine, and improve the filtration process. This human involvement adds practical market understanding that fixed algorithms often miss.
GTF Eye even categorises stocks clearly. It highlights:
One of the defining features of the GTF Eye stock screener is its dual-mode structure.
In Standard Mode, traders see clearly defined demand and supply zones along with broader market structure, allowing them to apply their own analysis within a disciplined framework.
GTF Mode, on the other hand, introduces more selective filtration. It highlights only those stocks where demand-supply logic aligns with current market behaviour and broader top-down analysis.
GTF Eye is currently offered at â¹1,000 per month (plus GST) or â¹10,000 per year (plus GST), discounted from â¹12,000 annually.
While pricing remains competitive within the advanced scanning space, GTF positions its value not around affordability alone, but around clarity.
At its core, GTF Eye is not built to predict the market. It is designed to filter it. In simple terms, it works like a structured, human-driven stock scanner.
Using demand and supply logic, mentor research, and real-time updates, it helps traders move from confusion to clarity. Instead of reacting to every alert, traders can focus on what truly matters.
Whether GTF Eye becomes widely adopted over time will depend on results and user experience. Its main idea is clear and relevant: in a market full of constant signals, clarity can be a real advantage.
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