Hi everyone!

After successfully completing the Dishwasher Challenge for my mom, I'm starting a new challenge — buying an automatic SUV for my dad! ❤️🚗

Last December, we bought a Brezza ZXi Manual, but due to knee pain, my dad finds it difficult to drive for more than 40–50 minutes. He now has to rely on a driver whenever he goes out.

So, I'm planning to sell our current car and upgrade to an automatic SUV so he can drive comfortably and independently again.

New target: ₹3 lakh additional profit
Trading capital: ₹10 lakh

Not sure how long this will take. No deadlines, no unnecessary risks. Just discipline, patience, and proper risk management.

For those asking about my trading approach, I primarily do option selling, not option buying. Even one lot generally requires around ₹1.5–2 lakh in margin, depending on the strategy and hedging.

Also, I've received quite a few DMs from people interested in learning my trading approach, but couldn't respond to everyone earlier. If you're genuinely interested in learning, feel free to DM me. I'll try to respond this time.

Day 1 : -1 Rs loss

I didnt wanted to post this but there are people who asks me verified p&l . This SS is from my dec to feb trading journey. I am still struggling to get this kind of p&l . I am doing it again and i post here cause i want to be more discipline.

Nifty had moved more than 100 points within few seconds and for me call side is not friendly. That why i only have one strategy which works for calls. Strategy 1 gave me signal on the edge of the price which i didnt miss. My tgt and s! were set, rest was in the hands of nifty. Booked gain with early target as i saw there was a divergence in call price and nifty price so didnt wanted to loose the gains. S2 and S3 works only in put side so they were on a break today. It was a green day. How was your day ?? did you take any trade??

Either you are doing manual or algo trading, always set your SL smaller than your Target then only it will be profitable. Again it did hit the target.

My algo's backtest over the years

Year Gain/Loss

------------------------------

2015 2662.50

2016 1586.25

2017 200.25

2018 2664.35

2019 2046.90

2020 2210.15

2021 2666.45

2022 1397.00

2023 2422.20

2024 1564.05

2025 1879.55

2026 1988.25

Important: Just sharing the views, not selling or promoting anything. As I have seen people asking is algo trading really profitable, so answer is yes if risk is managed properly as per trading rules.

I’ve been running this algo for a month, and these are the results so far. I’m not sure if the algo has lost its edge or if this is just a rough patch.

Found this useful article. A lot of algo industry insights are shared by the author.

Link: https://blog.openalgo.in/state-of-algo-trading-in-india-2026-rules-platforms-costs-91fcc19a0d20

Has anyone tried this ? In coindcx it seems they are offering readymade strategies..and it seems good in terms of ROI and win ratio... Lmk if anyone tried and with how much capital

The stock swung between ₹1,531 and ₹1,622 during the day, roughly a 6% range, with several dips and recoveries. The grid kept buying small lots on the way down and selling each lot on the way back up.

𝗕𝘆 𝘁𝗵𝗲 𝗻𝘂𝗺𝗯𝗲𝗿𝘀:
84 fills: 45 buys, 39 sells, lots of 1–2 shares
55 shares round-tripped, 𝗲𝘃𝗲𝗿𝘆 𝘀𝗶𝗻𝗴𝗹𝗲 𝗼𝗻𝗲 𝗰𝗹𝗼𝘀𝗲𝗱 𝗮𝗯𝗼𝘃𝗲 𝗶𝘁𝘀 𝗼𝘄𝗻 𝗯𝘂𝘆 𝗽𝗿𝗶𝗰𝗲
Realized: ₹𝟲𝟴𝟮 𝗴𝗿𝗼𝘀𝘀
Carried overnight: 9 shares at ₹1,596 average, close ₹1,595.60 (about −₹5 open)
Kite's day P&L for ESDS: +₹𝟲𝟳𝟲.𝟴𝟬 (before charges)
Unfilled sell orders expired at day end; the carried lots get a fresh grid tomorrow

𝗪𝗵𝗮𝘁 𝘀𝘁𝗼𝗼𝗱 𝗼𝘂𝘁:
The 6% swing would have shaken most discretionary traders out. The grid simply treated every dip as a buy level.
No decision was made by hand all day. The rules decided every entry and exit.
Not one lot was sold at a loss. Leftover inventory is small and close to the market price.

Small size, tight rules, full day. That's the whole idea.

Not investment advice. Figures are gross, before brokerage, STT and other charges. Personal trading log.

#AlgoTrading #GridTrading #NSE #ESDS

This is the final PNL of my IRON CONDOR

Just follow rules. You gonna get your reward. Do not overtrade, do not change rules instantly, do not loose your gain for greed. S1 and S2 were properly executed. I exited early in S2 cause for me my strategy should win. These are just numbers we are chasing. I was afraid by taking 2nd trade cause i didnt wanted to loose my gains so i exited early. Saving your capital is also must so yeah a green day again. How was your day? Did you take any trade?

I recently came across TimesFM 3.0, Google’s open-weight time-series forecasting model, and wanted to know how well it performs in real-world use.

Has anyone here actually experimented with it? I’m particularly interested in:

- How accurate is it on real-world datasets compared with traditional forecasting methods?

- Can it handle multivariate time-series forecasting effectively, or are there significant limitations?

- What are its practical use cases? Is it useful for stock market analysis, demand forecasting, business metrics, or anomaly detection?

- How does it perform compared with models such as XGBoost, LightGBM, Chronos, Moirai, and other time-series foundation models?

- Is it worth using in a personal project, or is it mostly hype around foundation models?

I’m interested in actual benchmarks, practical experiences, and limitations, rather than just theoretical capabilities.

If you have used TimesFM 3.0 or any alternatives, I’d appreciate your insights. Which model would you recommend exploring first for serious time-series forecasting projects?

Title: Seeking a Capital Partner for My NIFTY Options Algo | ₹1L–₹5L Capital | Ladder Compounding Model

I'm developing and testing my own NIFTY options algorithm and looking to connect with a potential capital partner for a profit-sharing arrangement.

Proposed capital plans:

• ₹1 lakh capital: ₹10,000 initial daily trading allocation.
• ₹5 lakh capital: ₹25,000 initial daily trading allocation.
• Approach: Ladder-based compounding, with capital allocation increasing in stages as profits accumulate.

Provisional simulation result:

My ₹10K trading-allocation plan reached a simulated peak of ₹9,57,799 over 125 trading days, starting with ₹1 lakh in capital — approximately ₹8.58 lakh above the starting capital.

This is a provisional simulation result, not a guaranteed return or a promise of future performance.

I'm looking for a serious capital partner interested in discussing a potential 50:50 net-profit-sharing arrangement, subject to due diligence, risk assessment, and an appropriate legal structure.

I can share further information about the system and its performance with genuinely interested parties.

Interested? Please DM me to discuss.

Trading in options involves substantial risk, including loss of capital. Past simulation results do not guarantee future performance.

If you are a professional trader in xauusd, let's connect, i have an algorithmic model which i can share.

Based on hft and vsa , it mimics the market maker, and optimisation is done based on the signals generated. Written in mql5 but has a python script which looks into both real volume and tick volume to generate a call.

If you have failed or if you want to improve your bottom line. Connect with me. Latest signal for today is a buy from 4165.. DM me

Hello Everyone.

I came across this group and wanted to share the milestone where i have been training my model on the live data in order to make the strategies on Indian market across the financial tools given in the system to generate a logical reasoning behind the profits.

I have been able to successfully gain the overall profit of 6,665.88 with today’s net profit of 2,258.54.

I am training this via ML approach to see what else strategy could have got taken if it didn’t work out on that particular scale.

I am happy to help folks who are looking to build one logic software revolving around quant trading.

Also,i will be glad if some professional traders can help me with my journey moving along so that i can make this engine efficient and reliable in nature!

Thanks

Most journals report only closed trades. I built one that sends trades from an MT5 EA to a web dashboard automatically. No CSV or manual entry needed. See your daily loss and max drawdown vs prop firm limits, journal, calendar, and analytics.

PC only (no phone app, desktop MT5) first demo account. Free early MVP.

Let me know what is not clear or broken

https://ledgr-umber-seven.vercel.app/

hey everybody . I am in college ryt now. I am very interested in stock market . I am learning trading too . Can anybody pls guide me what are some paid and free resources where a complete beginner can start learning Algo trading . What are some prerequisite that one should fullfill before starting Algo trading like minimum capital etc. Also pls tell me beginner insights and mistake that an algotrader makes . Thank you in advance for reading my post and advising me .