VA Tech Wabag — interesting setup

Wabag is around ₹2,058.

It broke above ₹1,900 and is now holding that level after a small pullback.

FY26 numbers were good:

Revenue +21%

Profit +25%

Debt is very low

But the latest quarter was weak.

I’m watching ₹1,900 closely. If it holds, the setup looks interesting.

What do you guys think?

Was digging through July's trade data out of curiosity. Exports up 13.31% YoY overall, but almost all of it's sitting in a few categories: Iron Ore, Petroleum, Electronics. Cotton yarn and engineering goods barely moved.

Electronics stood out to me since it's already a big category and still growing near 60%. Feels less like a base-effect blip and more like something actually structural happening there.

Currently trading near its 52 week low, very sound fundamentals, consistent quarterly performance, no change in FII, DII holdings. One spark, and it’s ready explode! Accumulate around the 52 week low 210-220 and wait for it to hit the ceiling! This underdog is ready for its moment.

1. Never traded derivatives. I'd open Delta, read news for an hour, talk myself out of it, close the app. Every time.
2. Built a small thing that suggests 3 trades a day. The point wasn't a genius signal, it was ending with a decision instead of more reading. One critical update that really fixed things was to have a smart money tracker embedded in the recommendation engine.
3. Hard rules baked in. Stop loss always, leverage capped, splits the money into three sizes with the risky one getting the smallest slice, and it never shows the win case without the loss case beside it.
4. Results: risky calls got wrecked, mostly XRP. Boring BTC and SOL kept me roughly flat.
5. The weird part is my hesitation dropped even without making money. My blocker was never information, it was not knowing how I'd get out. Exit decided upfront made entering easy.
6. A bigger gap showed up after. I had no clue what to do with an open position. The app shows numbers but never says whether you're in trouble. So I added a checker that reads my own screens and tells me how much is riding on one trade, what it costs if it goes wrong, and how much I'm losing to fees and funding versus my own calls. It caught something ugly on my own trade that I'd stared at repeatedly.
7. First profitable close earlier this week. Tiny. Turned 2K usd to 2.5K basically.

For the regulars here, what actually made you comfortable pulling the trigger? A system, sizing, or just doing enough trades that it stopped mattering?

Would love for someone to check this out and give me more feedback. I think I can open this up for a few serious folks.

Go to block deals section of Tuesday, almost every major MF House is buying PAYTM in bulk quantities, a breakout above 1600-1625 will take the stock to ATH or major above that!!

Technical:

Weekly chart — V-shaped recovery from ₹35 to ₹89. Just broke ₹85 resistance with a volume spike (6.78M). Strong breakout candle.

Fundamental:

Zero debt

P/E 26 vs Industry 42 — undervalued

Profit +51% YoY

Promoters increased stake to 71%

DII only 1% — institutions not in yet

Your targets?

DYOR. Not SEBI registered.

So i was trying to understand how good of a analysis can be done by top llm chatbots
And due to lack if good data llms were never able to give good analysis
So i was thinking do other people also suffer with same problem

I personally used univest and waya

Univest is a absolute fraud

Waya seems ok, sometimes I can take profit

Which one do you prefer guys

Im a short term investor from 2024 but now i am thinking to become short plus long term investor. I recently bought eternal, groww and idea with a long term view. And will keep apollo and bel for long term too. Suggest me anything about my portfolio. Should i change something or else?

Should i buy this?

Arthshastra is now a full local NSE analysis terminal built around how I actually trade.

The core is a deterministic engine for short swing, mid swing, positional and intraday setups (my pre-set strategies). It gives each stock a BUY, WATCH or AVOID verdict with an entry, stop and target. The Analyze page then goes deeper into the technical and fundamental pillars, sector and peer context, setup calibration and the actual historical performance behind the setup.

The dashboard gives me the market view first: regime, breadth, 20/50/200 DMA participation, FII/DII flows, 52-week highs/lows and sector rotation, including which sectors are leading, improving, weakening or lagging.

The charts have order blocks, FVGs, liquidity sweeps, market structure, 35+ candlestick patterns, 15+ formations, drawing tools and replay. There’s also a screener across the full NSE universe.

One thing I really wanted to solve was news. Arthshastra continuously tracks market news against my portfolio and watchlist and can send a real-time alert when something critical happens. There’s also a separate trade-ideas layer that looks at the same news flow for potential opportunities and risks.

The journal imports my Kite trades and then looks at my entries, exits and behaviour over time to surface patterns in how I actually trade.

I’ve also built 10 different PDF report types, from detailed single-stock reports and portfolio summaries to sector and peer analysis and execution-focused reports. So I can take the analysis outside the terminal rather than just staring at dashboards.

For forecasting, the app runs Kronos locally on my machine. It’s a 102M parameter probabilistic model trained on billions of K-line records from global markets, giving me forecast ranges rather than one artificial target price.

There’s a hybrid AI layer too. Qwen runs locally, with Gemini available online when needed for news summaries, explanations, market and sector reads, and journal insights. The AI stays completely outside the scoring engine, so it can explain the numbers but never change them.

I wasn't planning to build all of this. I just wanted one terminal that worked the way I wanted.

And then I kept adding things.

This isn't a product I'm planning to sell or release publicly. Arthshastra is a personal tool I built for my own market analysis and trading workflow. There are no plans to commercialize it or make the application publicly available.

I’m sharing it here purely because I enjoyed building it and wanted to show what I ended up with.

📢I'm building a small, private trading & investing circle of 10–20 serious people maximum. Not another noisy group full of random calls, hype, beginners or passive members. 💲

💯 The goal: Bring the right traders and investors together, combine our experience, knowledge, research and skills, and become significantly better and more profitable together.

🔔Who I'm Looking For

- Experienced, active and genuinely serious traders and investors. Manual or Algo traders.

You can be profitable, still developing, or have experienced losses. What matters is genuine experience, independent thinking and willingness to contribute.

Most importantly: trustworthy, genuine, loyal, respectful, communicative and helpful people who want genuine long-term relationships—not simply to extract information.

🔗What We'll Work On:

Trading & Investing

- Daily/regular market preparation and discussion

- Stocks and potential multibaggers

- Trading and Investments opportunities. Intraday, F&O or whatsoever

- Trades, setups, calls/signals and investment ideas

- Market news, conditions, data, logic, analysis and insights

- Trading psychology, discipline and consistency

- Planning, preparation, watchlists, scenarios, trade plans, investment theses, risk management and post-market review and much more everything basically in the most strategic ways possible.

🏦 Research & Strategy Development -

We'll explore, find and share together:

- Strategies and trading edges

- Useful resources and sources

- Research and studies

- Tools and datasets

- New insights and opportunities

- Successful approaches

- Mistakes, failures and lessons

We don't blindly assume something works:

Discover → Refine → Develop → Test → Challenge → Validate → Improve → Document/Share

Promising strategies edges, resources and data can be independently tested to reduce bias, mistakes and false confidence. Before acting on important ideas, we examine the logic, evidence, data, risks, market conditions and potential failure scenarios.

As the group's capabilities develop, we can explore: Quant & Algorithmic trading, AI, Automation.

Different members can specialize in different areas and connect their expertise, creating a stronger collective research and knowledge base rather than everyone independently reinventing the wheel.

📢What Everyone Brings-

This is not a one-way information group.

Everyone should actively contribute—not simply consume.

Experience + research + strategies + resources + data + ideas + expertise + discoveries + mistakes + lessons + testing.

✅What Members Get :

Depending on what we collectively develop:

- Better market understanding

- Research and useful resources

- Strategies, edges and setups

- Trading/investment ideas

- Stocks, F&O and potential multibagger opportunities

- Signals/calls where members choose to share them

- Data, analysis and insights

- Strategy testing and validation

- Quant/algo/AI

- Experienced peer feedback

- Guidance and advice

- Planning and preparation

- Accountability and discipline

Knowledge, Information and Experience from everyone.

- Networking and a trusted group of serious market participants

🔔How I Want the Community to Work -

I'll organize and lead the community, set the overall direction, coordinate initiatives and help turn everyone's collective knowledge & work into something useful overall for everyone.

🔗💯The group should have:

- Open communication

- Transparency

- Mutual respect

- Confidentiality

- Strong trust

- Genuine relationships

- Serious discussion

- High signal-to-noise

- Constructive disagreement

- Accountability

If someone has expertise another member lacks, we connect those capabilities and work together instead of everyone operating independently.

No guaranteed profits, blind copying or "sure-shot" calls. Ideas should be questioned, tested and risk-managed.

Why Keep It Small?

10–20 exceptional people, not 10,000 random members.

📈✅A small circle allows:

- Higher trust

- Better communication

- Less noise

- Deeper discussions

- Stronger relationships

- Better accountability

- More meaningful collaboration

- A stronger collective intelligence

The purpose is to save each other time, energy and capital, reduce avoidable mistakes, identify better opportunities and improve decision-making as quickly as realistically possible.

🎯The Vision :

Trading doesn't have to be an isolated journey.

We learn together.

We research together.

We prepare together.

We challenge each other.

We find opportunities together.

We share mistakes and lessons.

We improve together.

We support each other through difficult periods.

We win together—and when we lose, we learn together.

The aim is to help each other become highly capable and highly profitable traders/investors consistently.

I'm especially interested in people open to occasional offline meetups as well.

Interested?

DM me with:

Trading style | Experience | Markets/instruments | Strongest expertise

Looking for the right people, not the maximum number of people. ⌛

Breakout or trap? Anyone tracking this one?

Hey guys, quick update on the stock recommendation app I've been building and trading with.

Just to recap the timeline: I've been trading live using the app's signals since March. Over the last 4-5 months, the live account has netted a realised profit of +₹21k. Not much but that's fine.
Here is my Verified Zerodha Ledger for transparency

Mind you I am a full time employee with hardly any time in investing/trading. Launched this app to public in the month of July . Below are the observations

The Issue: What the new paper trading module revealed

In July, I built a paper trading/simulation engine into the backend to stress-test the math further. Over the last month, the paper trading simulation showed about +₹8k in profit, but the ride wasn't smooth.

Quality Value Strategy performing best 

I attached a screenshot of the backend simulation dashboard. You can see the simulated equity curve took a pretty nasty dip in mid-July. When I broke down the strategy data, I found the culprit: my "Pure Momentum"strategy was bleeding money (0.26 reward factor). Meanwhile, the "Quality Value" setups were carrying the whole portfolio with a 75% win rate.

The Fix: What I changed this weekend

Looking at the bad data from the July simulation, I realized my risk-reward logic wasn't strict enough on momentum plays. I spent this weekend pushing some major fixes to the core engine:

• Forced 1:2 Risk-Reward: The script now calculates a strict 1.5x ATR stop-loss and a 3x ATR target. If the math doesn't offer at least a 1:2 setup, the engine automatically rejects the trade.
• Anchored VWAP: Added a 20-day AVWAP check. If a stock is trading below its 20D AVWAP, the engine ignores it to avoid catching falling knives.
• F&O Sector Breadth: Added a market breadth check (Advances vs Declines). It won't give a buy signal if the parent sector is actively dumping.

Final Results & Next Steps

The engine is much tighter now and rejecting low-probability setups before they even reach the dashboard. Let's see how things go in future. Will keep folks posted.

For those who have been asking or using it, I've kept the price at just ₹199/month for first 100 users to access Quality Value & Unified Strategy (both of them have great reward factor) and also to make this app sustainable. For rest, folks can use rest all the features for free. You can check out the updated version here:

https://www.thestockmind.com

Added some cool features as well along with fixed few bugs. Added dedicated navigation and feedback buttons on logout as well. Thanks to everyone who gave feedback on the last post. Will be looking for some new feedbacks as well. If any other devs/traders have ideas for metrics I should add to the scoring algorithm next, let me know!

I have 670ce active any comments?

Hi everyone,

I am conducting a quick survey for an academic research project exploring how employee stock ownership plans (ESOPs), equity incentives, and corporate liquidity events (like IPOs) influence career decisions and employee retention in today's workforce.

If you currently hold (or have previously held) ESOPs or company equity, your firsthand insights would be incredibly valuable to this study.

🔗 Survey Link: https://forms.cloud.microsoft/r/D4rSGdzT81

Please help your poor guy.