I have tried many strategies throughout the year. I have many profitable strategies in backtesting but it looses on forward testing, but none of those worked so before spending more time on it, I want to know from this sub that is there, anyone who have any profitable strategy and doing trading via algorithm?
I don’t want to know the formula, but just looking for a confirmation.
Algo performance update for 21 May 2026. Pure systematic execution.
System Stats At A Glance:
When data meets disciplined automation, consistency follows.
Contact me for more details about this strategy.
We built a feature into our QntAIfy that completely removes the coding part. You literally just type your strategy in everyday English or paste any video link from yt/insta/X to make strategy.
The AI instantly understands the logic, builds the exact entry/exit parameters, and runs a full historical backtest to show your win rate and drawdown. We wanted to make algorithmic trading accessible to people who actually know the markets but aren't software engineers.
And if you see a strategy on YT or Insta or X? Just paste the video link. Our AI watches it, extracts the entry/exit rules, and builds the strategy for you according to the video. Zero coding, zero efforts in building strategy.
Link- Qntaify .com
Some VPNs provide a static IP. Can I use that for algo trading? Or do I need a VPS?
TL;DR: PhonePe's core product (UPI) generates almost zero direct revenue - zero MDR is a policy choice, not a temporary inefficiency. The IPO is reportedly largely OFS which means that existing investors are exiting, little to no fresh capital for the company. Valuation already reset from $15B to $9–10.5B as per Reuters. NPCI's 30% market share cap is still live and would force PhonePe to shed a third of its volume if enforced. The monetization story is real but still evolving.
Been digging deep into the PhonePe IPO and I think most discussions are missing the actual core issue.
Everyone focuses on the scale:
But the most important fact is this: the core product generates almost no direct revenue.
UPI operates under zero MDR. That's a policy choice, not a temporary market inefficiency.
So every transaction PhonePe processes increases:
…but not necessarily earnings.
The most-used product is also the least monetiszable one.
That's not a bug in the business model. That's the architecture.
Most fintech IPOs ask: "Can this company grow fast enough?"
PhonePe asks a different question: "Can a company that already became infrastructure convert that position into durable monetization?"
PhonePe has already solved distribution, trust, scale, and frequency.
What it hasn't fully solved yet is monetization at the scale its user base implies.
That's why the valuation debate became much more complicated between late 2025 and early 2026.
| Metric | Detail |
|---|---|
| FY24 Operating Revenue | ₹5,064 Cr |
| FY25 Operating Revenue | ₹7,115 Cr |
| FY25 Net Loss | ₹1,727 Cr |
| FY25 Adjusted Profit (ex-ESOP) | ₹630 Cr |
| Last Private Valuation | $14.5B (Oct 2025) |
| Jan 2026 IPO Expectation | $15B |
| Reuters reported (Mar 2026) | $9–10.5B |
Revenue growing 40% YoY. Losses narrowing. ESOP-adjusted, the business turned profitable in FY25 for the first time. Direction is improving. But the path to fully reported profitability is still long.
Early reporting assumed PhonePe would raise fresh capital through a standard IPO structure.
That's reportedly not what's happening.
January 2026 reports suggested the IPO may largely be an OFS (Offer For Sale):
That changes the interpretation significantly.
A fresh issue funds growth. An OFS primarily provides liquidity to existing investors.
So the question is no longer: "Will this IPO help PhonePe expand?"
It becomes: "Is the exit price fair for the business as it exists today?"
That's a very different underwriting conversation.
Tiger Global and Microsoft reportedly exiting fully actually simplifies things.
Walmart is more complicated.
Even after dilution, Walmart may still retain ~63% ownership post listing.
Public markets won't just price what's being sold now. They'll also price the possibility of future sell downs.
Institutional investors will care a lot about lock-in structure, future secondary sales, and long term ownership intent.
That overhang matters more than most retail discussions acknowledge.
Not from UPI directly. UPI is the distribution layer. The monetization thesis sits underneath it.
Insurance
Probably the most mature vertical. Commission income on premium. Natural fit for a high-frequency payments platform.
Lending
Highest-margin business - personal loans, merchant loans, BNPL. Also the most regulated. RBI scrutiny around digital lending has already tightened fintech economics materially.
Wealth and broking
PhonePe is directly competing with Groww, Zerodha, and Upstox through Share.Market, WealthDesk, and OpenQ. Intense competition and relatively thin margins.
Indus Appstore
Long-duration strategic bet. Not meaningful revenue today. But if India's regulatory stance toward app-store concentration tightens further, this becomes a structurally interesting asset over time.
PhonePe-SBI Credit Card
Launched April 2026. Card economics are structurally more monetizable than UPI rails - this matters.
The cross-sell potential is genuinely large.
The problem is conversion visibility.
We still don't have clean data on how effectively PhonePe converts payment users into profitable financial-services customers.
NPCI proposed a 30% cap on UPI market share for any single player.
PhonePe is at 47–48%.
The proposal has been deferred multiple times, most recently to December 2026. It has never been formally withdrawn.
If enforced aggressively, PhonePe may need to shed close to a third of its transaction volume. That directly weakens distribution, engagement, and cross-sell potential - the exact things supporting the financial services monetization thesis.
And this is increasingly becoming competitive, not just regulatory.
April 2026 reports suggested Amazon and Meta were pushing for stronger enforcement around UPI concentration rules - platforms with their own payments ambitions now have direct commercial skin in the game.
The user reach justifying the valuation is inseparable from the dominance a cap would constrain.
Every institutional investor evaluating PhonePe will run some version of the Paytm comparison. Hard to avoid.
Paytm listed at a big premium in November 2021, crashed hard, and the RBI-Paytm Payments Bank crisis in early 2024 fundamentally changed how Indian public markets price fintech scale, regulatory risk, monetization visibility, and profitability timelines.
PhonePe is cleaner strategically, more coherent operationally, and stronger on UPI relevance.
But the market is unlikely to completely remove the fintech regulatory discount. That discount got priced in for a reason.
And the valuation conversation already moved materially before a single share traded publicly:
$14.5B private reference → $15B IPO expectation → Reuters reporting $9–10.5B discussions
That's a 40% compression at the starting line.
PhonePe already solved something extremely difficult: distribution at national scale.
700M users. Massive merchant reach. Deep behavioural habit. That's real and not easily replicable.
The unresolved question is whether that distribution converts into durable earnings strong enough to justify a large public market valuation — one that has already reset 40% before listing.
That's what the IPO will ultimately test.
Curious what this sub thinks:
Does PhonePe eventually become a high-margin financial ecosystem built on top of UPI infrastructure?
Or does zero-MDR structurally cap how profitable this model can become?
Not investment advice. Do your own research.
Market Vibe: Short Sided Continuation, Expanded Regime
Trade Structure
May ROI: 21.1%
Entry Time: 9:16 AM after confirmation
Algo was in expanded zone, short trade was taken and expected gap down continuation but we hit SL. I guess this is what I was also waiting for that the algo goes into the negative territory and we can now double the lot size. Chances were 2% but we were long overdue for a SL hit. Regime is really volatile might tweak a few things here and there but here we are.
I dont think this requires a verified PnL but if it does, its available in my last post which is in continuation.
Most traders overcomplicate support & resistance.
TrenVantage automatically:
✔ Detects the trend
✔ Plots key support/resistance levels
✔ Filters market noise
✔ Alerts you before reactions happen
Built directly for TradingView traders who want clean charts and real context.
Would you actually use something like this?
Comment RETAIL if you want access.
Hi guys. Beginner here. Which is the recommended and best way to get static IP based on your experience. Would it be better to contact the ISP and get one, or do you recommend any VPS or cloud, if so which one to go for? Thanks!
I was exploring the backtesting models available with opstra & I am surprised to see that not many of them offer cheaper APIs. This hinders the hobbyist's algo trading enabled over broker apis.
Especially those who are running your custom setup, how do you manage to backtest the strategy, especially when index price is so volatile & backtesting ATM itself is much of a hassle?
Hi guys,
I’m looking to use kotak neo api to execute options for zero brokerage.
The strategy is algo based and it will be routed through API. It’s not sensitive to latency. I’m okay with even 1/2/3 seconds delay in execution but not ok with app freezing for few minutes and you can’t execute anything during that time.
To begin with I will push orders through API after human clearance - so some latency is okay. Also, planning to host the setup at Amazon AWS (Mumbai).
Does anyone has any experience running algos through kotak api? And if they are reliable executors?
Any feedback is appreciated.
Providing accurate analysis without any cost :)
Hi,
For all the different ways people talk about of selling 0dte options with stops etc. I’m curious as how well it has worked this year for the first 5 months?
Lot of noise from these random accounts but if anyone can give good color on what has worked performance wise - high level .
Thanks,
My SaaS generated around $7.5k in 1.5 months.
But the point is not about recurring users, but about a constantly new stream of users.
This is a crypto SaaS with several sections: Market Making, Delta Neutral, and AI Trading. It works on 5 DEX exchanges via API. Non-custodial connection.
The main revenue-generating section is AI Trading, which runs on a major exchange HyperLiquid. Essentially, the user connects their exchange to the bot, and the AI bot trades on their account. In this mode, a sub-mode is automatically activated if the user balance is $500 or more, and the bot trades until full execution and guarantees 66% profit from the user balance via built-in fees to us. This is the official fee allowed by HyperLiquid, and for the user it simply appears as an exchange fee. With a user balance of 500 USDC, we guarantee around $350. If the user balance is $5000, income from one user will be $3500 guaranteed.
We also have an army of 200 people who send marketing cards all over Twitter for a constant stream of users. We pay them $0.20 per comment that does not get flagged as spam and gets impressions. They fill all links in a separate section of our website for workers and we manually verify all applications.
In 1.5 months we generated $7.5k (there are 3 of us in the team), and around $700 went to salaries for people doing comments.
Since none of the three of us have a stable income, this money is too little to support us. This can be scaled through good targeted advertising; the traffic is literally the entire crypto world — everyone who is curious to try trading with AI.
We are looking either for a co-investor: $25k for 25% of recurring profit. The money will be used for advertising on Instagram Reels, Facebook, and others. Or we are ready to sell our service with all workers and everything included for a separately agreed price.
DM me and I will share more info, all links, and answer any questions. All revenue data is on-chain, so it can be easily verified.
Position Size was 1 LOT only - Mainly traded ATM long options
For anyone running broker APIs or automated trading strategies in India, one annoying requirement is static IP whitelisting.
Initially I tried cheap/shared proxy IPs available online.
Most of them:
For broker APIs and algo trading, shared IPs quickly became unreliable.
Then I tried the usual cloud VPS route (AWS/GCP/etc.) since many people recommend it for low-cost setups.
But after some time, a few practical issues started showing up:
For lightweight trading automations, maintaining full VPS infrastructure started feeling like overkill.
Eventually I realized I wanted something that lets me focus on trading instead of constantly managing infra and checking whether IPs are up.
After researching, I found a provider offering dedicated Mumbai-based India IPs.
Compared to overseas VPS providers and shared IPs:
Pricing was also surprisingly lower than maintaining separate EC2/VPS instances for multiple accounts.
Search for “ipv6-proxy.in” if you’re looking for dedicated India static IPs for broker API use cases.
Thought this might help others trying to build low-cost algo setups without spending time managing infrastructure.
Market Vibe: Short side reversal, gap fill probability high. Cautious move.
Trade Structure
We have successfully migrated to Zerodha and I limited the lot size today. Wanted to make sure no bugs are there and yet we were hit by one. We exited early because of TPS calculations from day open and not entry trade. could have done Rs. 4500/lot but ended with Rs. 500 because of early TPS activation. We will be using net profit from next month because zerodha gives us net profit numbers.
I'll still be trading Dhan account because I have to double my lot size, Zerodha is best for verified PnL and live daily trades available. I am also testing a few more prediction mechanisms for our tps and tp activation so might see a drastic difference in PnL from Dhan and Zerodha but both should be similar in profitability.
No trade hit our system on Friday because of choppy market outcome in the morning and no candle verified. Hence didnt post anything on Friday!
Verified PnL: https://verified.sensibull.com/ps/joyous-boa/J4YW5DaQ59cEyb
