r/IndiaAlgoTrading

Hi, I am a Consultant, helping people from India to trade in overseas markets (particularly in USA).
Most people currently don't do overseas market from India, due to RBI policy - "sending money abroad for speculation is not allowed".
I help to overcome this barrier, and help people to trade abroad.
Let me know if anyone interested, and happy to connect.

Hi folks,

I have been working on a strategy for a few months, learning stuff along the line and created a strategy that give good result. I backtested it on 14 years data.

The result look something like this

CAGR: 27.9%

Max drawdown: 14.4%

Volatility (ann): 12.6%

Sharpe ratio: 1.57

Sortino ratio: 2.38

Calmar (CAGR/DD): 1.93

Years tested: 14

The strategy is not over fitted or so and was tested on different cycle of market(4 year range sliding window).

I gave LLM the details and as per it, it was sellable. It created lot of hype. But can't trust it.

Concern:

1. Am i missing something in backtesting flow? I used tradingview

2. In india, is NISM the only way to legally monetize this strategy?

3. Has anyone ever done anything like selling to HNI?

Lets say for an algo with a capital of investment 4lakhs, the win rate is around 52%, and there are three ways you can run it,
-monthly ROI 12% with 3.75% DD
-monthly ROI 38% with 6% DD
-monthly ROI 31% with 7.5% DD

SEBI recently released a consultation paper proposing significant changes to the Accredited Investor (AI) framework. If implemented, these changes could streamline onboarding and massively expand the pool of eligible investors for AIFs, PMS, and SIFs.

Here is a quick breakdown of the key takeaways:

• Manager-Led Accreditation: Investment managers may soon be allowed to verify and record an investor's AI status directly during onboarding, eliminating the current double-step process with independent Accreditation Agencies.
• 3-Year Validity: Once accredited, the status remains valid for 3 years for all products under the same manager/group. (You'd still need fresh verification if switching to an unrelated manager).
• Dual-Route System: The existing Accreditation Agency route isn't going away—investors can choose whichever path is more convenient.
• New Securities Market Assets Route: SEBI proposes allowing accreditation based purely on liquid securities assets rather than overall net worth:
  • Individuals: ₹5 Crore
  • Body Corporates / Trusts: ₹20 Crore
• Digital Verification: Eligible holdings will cover equities, debt, REITs/InvITs, AIFs, MFs, F&O open interest, and overseas securities. Verification will rely on e-CAS, depository, or broker statements—moving away from manual CA certificates.
• Expanding the AI Universe: SEBI estimates the ₹5 Cr liquid securities criterion could make ~3.7 lakh investors eligible (up from ~96,000 current AIF investors).
• Why It Matters: AI status unlocks major flexibility across AIFs, PMS, SIFs, Angel Funds, and CIVs (including reduced or removed minimum investment ticket sizes).
• Foreign Investors: Deemed AI status is proposed for all Persons Resident Outside India (PROIs), including all FPIs.
• Safeguards: Managers will face strict record-keeping, audit, data privacy, and conflict-of-interest compliance requirements to prevent misuse.

Note: This is currently a consultation paper, not final policy. SEBI is accepting public comments on these 10 proposals until September 3, 2026.

been running algos on tradetron for a while now and mostly its fine but few things still annoy me daily

broker token expiring every single morning. i have to sit and login before 9 just for this. if i forget or im travelling the whole day is gone, strategies just sit there doing nothing. this is 2026 why is this still manual. i ended up building something for myself to auto regen it because i kept missing it. works fine now but i shouldnt have had to

stats are per deployment only. yes i can see total pnl of all strategies but thats just a number today. there is no combined equity curve, no combined drawdown, nothing that tells me what my whole book did last month or how deep it went down together. i have to open each strategy stats page one by one and note it down. for 20 strategies thats not happening daily

the stats page not counting todays trades. so till EOD your total pnl there is basically yesterdays number. confusing when you check mid day and think something is wrong

and when you re add a strategy with share code it creates a new entry instead of updating the old one. old one just sits there dead. took me a while to figure out why some strategies stopped showing in my tracking

pnl also before charges but everyone knows that one already

what else annoys you all, curious if im the only one bothered by the stats part

I've been on both sides of this — subscribed to a few strategy sellers, and now running my own strategies.

What kills conversion isn't bad performance. It's that nobody believes a screenshot. I've watched genuinely good strategies fail to sell because the only proof was a cropped P&L image, and mediocre ones sell fine because the seller had something checkable.

Four things I've found actually move the needle:

Show the drawdown.

Counter-intuitive, but a page admitting "max drawdown 20%, currently 19 days underwater" converts better than one showing only green days. Anyone who has actually traded knows a green-only record is a lie, and the second they suspect you're hiding something, you're done.

Show it live, not as of last Tuesday.

The most common subscriber message is "how's it doing today?" If the answer is something they can check themselves, you stop answering that fifty times a week.

Show net, not gross.

Most platforms report P&L before brokerage and STT. On one of my strategies that gap was 22% — ₹12,456 gross became ₹9,684 after brokerage, STT, exchange charges, GST and stamp duty. If a subscriber works that out after joining, you've lost them. Better they see the real number up front.

Have the boring stats ready.

Win rate, profit factor, and how much of your profit came from your best 5 days. Mine was 62% on one strategy, which was uncomfortable to learn but is exactly what a sophisticated buyer will ask about. If your top 5 days are most of your profit, that's worth knowing before someone else points it out.

None of this needs fancy tooling — I've seen people do it well with a shared Google Sheet that updates daily. The point is moving off static images to something a prospect can verify themselves.

Curious what's worked for others selling strategies here. Is anyone doing anything better than screenshots?

Is it the win rate or ROI which attracts people towards algorithmic trading? I have seen that some have really good win rates and obviously win rates look good to the eye and I have seen good ROI also, what would you choose?. Institutional grade algo systems have win rate of around 25 percent, which might seem very low but with their 100s of millions of investment they make 6 to 7 ROI an year, which is a lot if you think about it. If you're someone who uses algo or have investment in any, why did you choose it?

Hi All- Please check this indicator if you have trading view premium account and leave your comments.

I’ve been running an automated system live for a while now, and it’s consistently generating about 1.5% to 2% monthly returns. The system captures trading decisions in real-time and executes automatically.

I’m now looking to take this operation to the next level, but I want to avoid the classic trap of scaling up my capital only to watch my edge disappear due to slippage or infrastructure limits.

I have trained my system to focus on stocks only and not options to play in low risk setup.

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have a pine alert sending json to a small fastapi endpoint. endpoint validates it and places the option order through nubra uat.

found one bad case while testing:

webhook reaches backend → nubra order request is sent → client times out before i save the returned order id → worker retries → same signal can become 2 orders.

currently blocking duplicates with an in-memory set, which is obviously useless after a restart or multiple workers.

thinking of persisting every intent before calling the broker:

signal_id | payload_hash | status | broker_order_id | created_at

flow would be:

receive alert, verify signature, insert signal_id with unique constraint, return 200, then process through a queue. on timeout, check nubra order state/positions before retrying instead of assuming failure.

nubra uat is nice for this because i can replay the same alerts and inspect actual order lifecycle without doing the experiment live.

how are people generating a durable idempotency key from tradingview though? alert id + bar time + strategy version? also what do you treat as source of truth after an uncertain broker response: order book, positions or both?

I've been building a trading platform for retail traders, and I'm at the point where I want to get some honest feedback from people who actually trade.

The idea isn't to build another “magic trading bot” or sell signals.

The problem I'm trying to solve is the amount of work and decision-making scattered across different tools when you're trading.

My current workflow looks like this:

1. Daily Market Brief
Important news, events and market developments summarized so you know what actually matters before looking at charts.

2. Market Analysis
Structured analysis across Gold, Crypto and Forex to identify market conditions, levels and potential scenarios.

3. Trade Finder
Instead of staring at charts all day, the system looks for predefined trade conditions and alerts when a potential setup appears.

4. Optional Execution
For traders who want it, execution can eventually be automated. But this is intentionally the last part of the system, not the core product.

The bigger idea is:

News → Analysis → Trade Setup → Alert → Optional Execution

I'm building this because I think a lot of retail traders don't necessarily need another indicator or another strategy.

They need a better workflow.

Right now, I'm trying to figure out where this concept is genuinely useful and where I'm just building features that sound good on paper.

So I'd love some criticism from traders here:

• What part of your daily trading workflow wastes the most time?
• What information do you currently have to check manually?
• Would a daily market brief actually be useful to you?
• Would you trust an automated system to find setups while keeping the final decision yours?
• At what point, if any, would you want automated execution?
• What would make you not trust a platform like this?

I'm building this as a real project and would genuinely appreciate criticism — especially from people who think the idea is unnecessary or already solved.

What would you remove, add, or change?

I have an algo trading firm and looking for an experienced algo trader. DM me for more info!