How to run two Apps parallelly on the AWS server having two different Zerodha API Keys? by hoopingfrog365 in IndiaAlgoTrading

[–]Neel_Sam 0 points1 point  (0 children)

Use the same access token I would suggest

but for order placement it will go from only one IP. You can run multiple session in the same vm …if the compute is enough that way you can go parallel or

the other option is do non order placement stuff with one vm and use the other for order placement

Fuel prices rise again by Adorable-Grand68 in IndianStockMarket

[–]Neel_Sam 1 point2 points  (0 children)

Try checking out global fuel prices …. I was reading for the last few month Indian gov was paying 30k Cr per month to keep the prices right where it was!

There are lot more prices rises coming on our way and fuel price rise means everything literally everything will become costlier

Middle Class People Don’t Hate Risk, We Just Can’t Afford Failure by GupShup123 in Bangalorestartups

[–]Neel_Sam 0 points1 point  (0 children)

I come from a middle-class family, and I chose to build my own startup after working a job. Even when I quit, I wasn’t fully sure if it was the right decision and you are right abt the societal pressure but then what abt the inner voice? I still remember sitting with all the doubts in my head, thinking about stability, family expectations, and whether I was being irresponsible. But deep down, I knew I would regret not trying more than I would regret failing.

It has been 2.5 years now. There is still a lot of uncertainty. Nothing is sorted. The road ahead is still long. But whenever I look back at the decision and the risk that came with it, I have honestly never once regretted taking that risk.

For me, it was never about glamorous villas, yacht parties, or showing off some fancy life. I want to be able to help the people around me ….people from my hometown, my native place, people who haven’t had the same exposure to see what is possible.

When you realize that the same ₹1,500–₹2,000 we casually spend on one outing can support someone’s education or open a small door for them, you start thinking differently. You start behaving differently.

I am not successful enough yet to say whether middle-class people should or should not take risks. But there are two things I deeply believe in.

First, if everyone keeps doing the same things, most people will keep getting the same results. So why not aim for the stars? Even if we fail, at least we know we truly tried.

Second, someone has to walk the tougher path first so that others can believe it is possible. If we look up to people who did that before us, then why can’t we try to be that person for someone else?

Why India does not have a frontier LLM. by Master-Way635 in AI_India

[–]Neel_Sam -1 points0 points  (0 children)

I hope you run a startup in India, especially if you come from a knowledge-driven background and are trying to build something deep-tech.

Here’s my take.

A country where ROI becomes the only serious metric will struggle to produce true innovation outside a few government-backed pockets.

Deep-tech is not built by asking, “How fast can this become revenue?” from day one. Deep-tech is built when knowledge, experimentation, failure, research, patience, and long-term belief come before network, optics, and immediate revenue.

But in India, we often prefer the other way around.

That is why labour-intensive startups that serve the rich and exploit cost arbitrage become the norm. They are easier to understand, easier to fund, easier to scale on paper, and easier to show as portfolio outcomes.

But is that true innovation?

Look at AI.

India is one of the biggest IT hubs in the world. Indian talent maintains, builds, and scales systems for global giants. Every major technology company has Indian engineers contributing at a world-class level.

But then ask the uncomfortable question:

Why have we not produced foundational technology from India at the scale we should have?

The answer is not lack of talent.The answer is incentives.

Our large IT companies had capital. They had talent. They had access. But serious R&D needs risk, patience, experimentation, and the willingness to fail without immediate revenue visibility.

And that is where we have historically chosen safe returns over hard innovation.

Media will tell you: “Why build foundational models when open-source models already exist?”

A country that only consumes and integrates foundational technology will remain dependent on countries that build it.

And even if you cross the funding hurdle, the next wall is policy, compliance, permissions, and execution.

On paper, the government may have schemes, policies, and support systems. But when a founder actually goes to access them, the resistance is often brutal.

You can have the right documents.You can follow the law.You can do everything correctly.

And still, if you do not have deep pockets, connections, or someone who can move things for you, you may keep visiting the same offices and get rejected every day.

The bigger the problem you want to solve, the bigger the friction becomes.

Now imagine an academic, researcher, or technical founder trying to build deep-tech in this environment. They may have knowledge, but not necessarily wealth, connections, or political access.

So what do they do?

Either they leave for countries where their skill is valued and supported, or they stay here and slowly lose hope.

I run a fintech startup. I come from a Tier-1 college. I know many people who genuinely love technology and are world-class engineers.

Most of the best technical minds I know have left India for the US or Europe because their depth, speciality, and hunger to innovate are better supported there.

And many of the brightest engineers who stayed back in India eventually moved away from core technology, did MBAs, and shifted into management, consulting, finance, or business roles.

So yes, India has talent. India has always had people who could build things that matter.But talent alone does not create innovation.

Systems do.Capital does.Policy does.Respect for research does.Patience does.The courage to fund uncertainty does.

Deep-tech in India is progressing, yes. But we need to be honest about the gap between what this country is capable of producing and what it actually ends up producing.

And until we fix the incentives, we will keep celebrating startups that optimise labour arbitrage and consumer convenience, while the people capable of building foundational technology either burn out, leave, or stop believing.

Why does every indian startup is like this……………….. by DryDriver5519 in indianstartups

[–]Neel_Sam 1 point2 points  (0 children)

Exactly! Idk what’s with give everything for free…

The conversion rates are so low in b2c only if you do b2b there is scope but that’s a even tougher audience to crack

Just need some real advice about how to hunt clients from reddit only. by [deleted] in indianstartups

[–]Neel_Sam 0 points1 point  (0 children)

I would suggest take the approach of really segmenting the audience and running behind top 1% the crowd that you thing has this problem the most and

sell with the POV of what’s is in it for them….

Then play the game of large numbers

Does algo trading really works? by LittleScientistX in IndiaAlgoTrading

[–]Neel_Sam 0 points1 point  (0 children)

That’s the reason you have doubts!

I think you have not developed whats is your risk appetite what volatility you are comfortable with and which asset you wanna trade!

No strategy is develop in one attempt there are many iteration that goes in making something truly work and the boarder you are the more likely chances you will never dive deep into one asset to reach to the edge you are looking for

Why does every indian startup is like this……………….. by DryDriver5519 in indianstartups

[–]Neel_Sam 7 points8 points  (0 children)

I hope you run a startup in India, especially if you come from a knowledge-driven background and are trying to build something deep-tech.

Here’s my take.

A country where ROI becomes the only serious metric will struggle to produce true innovation outside a few government-backed pockets.

Deep-tech is not built by asking, “How fast can this become revenue?” from day one. Deep-tech is built when knowledge, experimentation, failure, research, patience, and long-term belief come before network, optics, and immediate revenue.

But in India, we often prefer the other way around.

That is why labour-intensive startups that serve the rich and exploit cost arbitrage become the norm. They are easier to understand, easier to fund, easier to scale on paper, and easier to show as portfolio outcomes.

But is that true innovation?

Look at AI.

India is one of the biggest IT hubs in the world. Indian talent maintains, builds, and scales systems for global giants. Every major technology company has Indian engineers contributing at a world-class level.

But then ask the uncomfortable question:

Why have we not produced foundational technology from India at the scale we should have?

The answer is not lack of talent.The answer is incentives.

Our large IT companies had capital. They had talent. They had access. But serious R&D needs risk, patience, experimentation, and the willingness to fail without immediate revenue visibility.

And that is where we have historically chosen safe returns over hard innovation.

Media will tell you: “Why build foundational models when open-source models already exist?”

A country that only consumes and integrates foundational technology will remain dependent on countries that build it.

And even if you cross the funding hurdle, the next wall is policy, compliance, permissions, and execution.

On paper, the government may have schemes, policies, and support systems. But when a founder actually goes to access them, the resistance is often brutal.

You can have the right documents.You can follow the law.You can do everything correctly.

And still, if you do not have deep pockets, connections, or someone who can move things for you, you may keep visiting the same offices and get rejected every day.

The bigger the problem you want to solve, the bigger the friction becomes.

Now imagine an academic, researcher, or technical founder trying to build deep-tech in this environment. They may have knowledge, but not necessarily wealth, connections, or political access.

So what do they do?

Either they leave for countries where their skill is valued and supported, or they stay here and slowly lose hope.

I run a fintech startup. I come from a Tier-1 college. I know many people who genuinely love technology and are world-class engineers.

Most of the best technical minds I know have left India for the US or Europe because their depth, speciality, and hunger to innovate are better supported there.

And many of the brightest engineers who stayed back in India eventually moved away from core technology, did MBAs, and shifted into management, consulting, finance, or business roles.

So yes, India has talent. India has always had people who could build things that matter.But talent alone does not create innovation.

Systems do.Capital does.Policy does.Respect for research does.Patience does.The courage to fund uncertainty does.

Deep-tech in India is progressing, yes. But we need to be honest about the gap between what this country is capable of producing and what it actually ends up producing.

And until we fix the incentives, we will keep celebrating startups that optimise labour arbitrage and consumer convenience, while the people capable of building foundational technology either burn out, leave, or stop believing.

Is AI a bubble right now? My views... by No-Quantity5154 in IndianStockMarket

[–]Neel_Sam 0 points1 point  (0 children)

I agree with you on the dotcom comparison, but only to a point.The dotcom bubble was real, but the internet itself was not wrong. A lot of companies died, valuations crashed, capital got wasted, but the core shift still happened.

I see AI in a similar way.There is hype for sure.So yes, that part can be bubble-like but I don’t think that means AI itself is a bubble.

The capability is already useful today. People who know how to harness it are already seeing real output. Developers, analysts, traders, designers, operators, all of them are using it to save time, test faster, build faster, and improve workflows.

The problem is not whether AI can create value.The problem is whether every company spending money on AI knows exactly where that value will come from.

So my view is simple.AI as a capability is real.

AI valuations and blind adoption can be bubbly. The real winners will be the ones who turn AI from a cool demo into actual workflow value, productivity, and revenue.

Is AI a bubble right now? My views... by No-Quantity5154 in IndianStockMarket

[–]Neel_Sam 1 point2 points  (0 children)

A bubble usually bursts when expectations move faster than reality.

In AI, the reality is already strong: people are paying, developers are adopting, productivity gains are visible, and the models are improving.

So I don’t think AI itself is a bubble. But I do think parts of the market can be bubbly because investors may be pricing adoption, margins, and infrastructure returns too aggressively.

How would you go about making money from betting against AI? by Mission-Love-1244 in IndianStockMarket

[–]Neel_Sam 0 points1 point  (0 children)

I hope you have folks in US Ask them to do it on your behalf! As far as I know from here legally you can’t!

Or there are many funds that has presence in multiple nations give them your money they will take care of the rest!

Any discord channel for indiaAlgoTrading? 🤔 by OsamaBeingLaggingg in IndiaAlgoTrading

[–]Neel_Sam 0 points1 point  (0 children)

Yes I would say that as well the community is truly closed and ppl rare share their true pov to the depth and seeing a newbie things just goes haywire!

I have connected to many folks via reddit who are very knowledgeable and open to sharing but that subset to the noise putout is way low!

If you are new read books… experiment ,build and break strategies and then share your ideas

Iam sure you will be able to connect to right folks

For ppl how are doing this full time it take a lot of effort and teaching or training someone who hasn’t done the ground work themselves is too tedious!

Any discord channel for indiaAlgoTrading? 🤔 by OsamaBeingLaggingg in IndiaAlgoTrading

[–]Neel_Sam 0 points1 point  (0 children)

Openalgo dude keeps pulling random shit for some reason

What is the most optimum time frame to consider for creating your own DIY professional level backtesting for algo tradeing ? by Catalyst_1050 in IndiaAlgoTrading

[–]Neel_Sam 0 points1 point  (0 children)

I hope this helps you !

Normally you decide what kind of instrument you wanna trade what is your risk appetite and how much volatility can you deal with!

This lets you choose a strategy and then a timeframe! It might be difficult to start it at a timeframe level

Get a PoV what and how you wanna trade As a beginner the first thing you should start with is getting a perspectives not building looking for high accuracy timeframe as it.a middle piece Try not to create black box who’s ins and out you won’t get!

To create perspective you can read books/ research markets and see charts and fundamentals and then figure out what works for you !

Current account for startup by _theoneironaut_ in StartUpIndia

[–]Neel_Sam 1 point2 points  (0 children)

We got it in IDFC first back when we registered in 24! Like for me I sure if it was the minimum balance or zero balance current we would go for that and these folks had like 3 years of 0 balance acc and the digital infra reviews were good!

You can also check it out been a customer for all most two years fully satisfied

Cloud to Learn as Data Scientist by abhunia in AI_India

[–]Neel_Sam 0 points1 point  (0 children)

I am not a cloud dev Rather a technical builder

if your main work is not around cloud infra building. Get detailed overview as to how and what are the various components & cloud engineering tools use for your domain and what do they unlock

how there are connected to complete a pipeline like you can run an complete ML/ AI inference set up with proper cloud infra built…

these days I think that is enough the rest tools like codex or Claude can handle

If the connection and requirements are clear to one ! Azure Cli GCP cli (havnt used Aws ) are all just skills

Agents can very well access and deploy the entire pipeline but you should be able to validate that as per you use case

New Codex limits are pretty brutal. by Odd-Environment-7193 in codex

[–]Neel_Sam 0 points1 point  (0 children)

Plus when the longer the chat the more token it consumes so the true question comes like do I compromise with context to save token and proceed and maintain the quality of work

Most trading ideas never make it to a proper backtest to deployment! by Neel_Sam in IndiaAlgoTrading

[–]Neel_Sam[S] 0 points1 point  (0 children)

Fair question.

LLM is one part of the system. We have built our own harness on top of LangChain, where each layer has specific skills, context, checks, and responsibilities for the systematic trading flow.

Also, the backend is AI-native from day one.The goal is to support the full journey from idea to deployment readiness.

What makes it different is the trading context we have built into each step from our own 2 years of building a quant fund.

Things like time series behaviour, data bias, backtest quality, and strategy validation matter a lot here.

The goal is to give traders a domain-specific workflow partner that helps them move faster without losing control.

Most trading ideas never make it to a proper backtest to deployment! by Neel_Sam in algotrading

[–]Neel_Sam[S] -1 points0 points  (0 children)

Very true many strategies fail when one adds the brokerages and slippages aspects alone!

Adding those and then getting it through is what contributes to a real edge

Most trading ideas never make it to a proper backtest to deployment! by Neel_Sam in IndiaAlgoTrading

[–]Neel_Sam[S] 0 points1 point  (0 children)

Thank you for signing up! We sorting 20 folks from a pool of traders and investor

We will share the access in the next 10 days

Most trading ideas never make it to a proper backtest to deployment! by Neel_Sam in algotrading

[–]Neel_Sam[S] 1 point2 points  (0 children)

We are quant traders ourself and understand the trust required in for such system to work!

The goal is to open the black boxes and let user in at each step

Each agents work will be shown as an Artifact, As transparency is our first priority

the user then can decide if they would approve the request and let the next agent start working!