I’m no trader, neither full stack developer, and I built AI stock market prediction engine using my expertise in WFM forecasting and planing phases. At the beginning it was just Idea to have quick accessible tool that does not require over sophisticated graphs with rulers and other tools to fit trend lines, but to just quickly give market direction and confidence level based on signal strength.

My early experience on stock market was in unregulated brokerage as a salesman. Seen guys admiring wolf of the wall street, boiler room and staff like that. And only thing I know for sure is that nobody can predict the market with absolute certainty and who does is either charlatan or scammer.

Anyways I built tool which makes sophisticated math behind the scenes and is free to everyone who wants to explore it.

At this stage I would like to have user side feedback, how easy it is to comprehend, what is confusing? what is uninviting etc.

Let me know the advantages and disadvantages

Scope??

Suggestions??

Beginner mistakes?

This is my watchlist which i expect will perform well this week-

Aavas Financiers #AAVAS

Acme Solar Holdings #ACMESOLAR

Adani Green Energy #ADANIGREEN

Astra Microwave Products #ASTRAMICRO

Bank of Maharashtra #MAHABANK

Bharat Forge #BHARATFORG

CarTrade Tech #CARTRADE

Carysil #CARYSIL

Kernex Microsystems #KERNEX

Laurus Labs #LAURUSLABS

Motilal Oswal Financial Services #MOTILALOFS

NIACL (New India Assurance Company) #NIACL

NRB Bearings #NRBBEARING

Nuvama Wealth Management #NUVAMA

Nykaa #NYKAA

Olectra Greentech #OLECTRA

Quess Corp #QUESS

Radico Khaitan #RADICO

Refex Industries #REFEX

Tata Technologies #TATATECH

Trent #TRENT

Welspun Corp #WELCORP

Welspun Living #WELSPUNLIV

Yes Bank #YESBANK

Share your thoughts........

As of the latest quoted market data from the supplied draft, MRAM traded around $28.94, down sharply from recent highs but still far above where the stock began its 2026 rally. The stock has become one of the most controversial small-cap semiconductor names of the year as AI-memory hype, defense demand and short-seller pressure collide.

Instead of looking at one-year numbers, I’ve started focusing on 5–10-year trends in financial statements and it’s made stock analysis much easier.

Here’s my quick checklist:

• Revenue & Profit: Should grow consistently
• Margins: Improving = better efficiency
• Debt: Watch if it’s rising too fast
• Cash Flow: Should match profits (very important)
• Ratios (ROE/ROCE): Look for stable or improving trends

Big takeaway:
Trend > single-year numbers

Even a quick look at past numbers can tell you if a business is actually getting stronger or just looking good on paper.

How do you guys usually analyze fundamentals?

The Alert Streak Fueling the “New Roaring Kitty” Label

The reason traders are making the comparison is the growing list of alerts that supporters say moved sharply after being called inside the Making Easy Money Discor.

Below are some of the most discussed alerts tied to Grandmaster-Obi’s recent run, including the alert date, entry price, peak date, peak price, gain and what a hypothetical $1,000 trade could have become at the reported high.

These examples are calculated from the reported alert entry price to the reported peak price. They do not include taxes, fees, slippage, spreads, liquidity differences or execution timing.

Still, the numbers explain why retail traders are talking.

A 100% move gets attention.

A 500% move creates arguments.

A 1,000% move builds a following.

Multiple 1,000% moves create a movement.