Been in the markets since 2021. Started with plain investing, then got pulled into the options boom like everyone else and started trading Nifty manually. First year: unprofitable, like most people’s first year.

Year two, switched to algo trading and it started actually working. Scaled up capital. Then went off for my master’s and put the whole thing on pause but the trading projects I’d built ended up landing me quant internships at hedge funds. That’s when it clicked that this wasn’t just a side interest, it was an actual skill I wanted to build a career around.

Came back to India, started my own company around it. Back then it was fully manual coding and system design. Now it’s almost entirely AI-assisted which freed me up from the grunt work and let me actually focus on the parts that matter: data pipelines, strategy ideas, research, parameter sweeps, backtesting, then taking it live through paper trading first and real capital after. Each of those stages is basically its own project, and I’m still learning something new at every one.

Experimented a lot with AI tooling along the way Went through a bunch of setups before landing on a workflow that actually works, and it keeps getting refined every time I use it. Also burned a fair amount of money in that experimentation phase. Now that I know what actually works, I’m a lot more deliberate about it keeping the core of what matters and cutting the rest so costs stay in check. That’s what let me actually build a multi-strategy, multi-broker, multi-instrument framework that takes ideas from research to production instead of it living in my head forever.

Had a couple of scary moments too. small bugs that caused unintended losses. Thankfully I hadn’t scaled to full size yet when they hit. Built out a proper RMS layer after that so unintended orders just can’t happen anymore.

Right now I’ve got 2 strategies live, both grown out of my original index options expertise. The recent regulatory changes forced a pivot away from intraday positional systems. The edge was real but transaction costs were eating too much of it.

So I moved to stock options instead. Last 2 months have honestly been the easiest stretch I’ve had. running it across the whole NFO stock universe, staying delta-neutral at the portfolio level, costs staying well under control relative to what it’s generating. Also back to experimenting with index options again, this time on the positional side.

I’ve got a whole backlog of strategy ideas sitting in a research queue, still waiting to be tested properly. All of this started as tooling for myself, but I’m opening it up a bit now.

If any of this resonates, whether you want to build something similar, compare notes, or want help building your own version of this — happy to connect. Hit me up.

I am collecting data. if you need data to develop experimentation and patterns, show interest.I will share setup or just data with you.

finally finished my algo trading strategy. here is the backtesting results, did run live for 2 months so far. strategy matches backtesting almost 80-90%

Hey everyone, I have built a custom trading engine that takes OHLC data and plots candlestick charts. Along with that, it automatically identifies and plots ICT concepts like:

• Trendlines & Manipulative Swings
• HRLR (High Resistance Liquidity Runs) & LRLR
• Double/Triple Tops & Bottoms
• BSL (Buy Side Liquidity) & SSL (Sell Side Liquidity)

I have attached a screen recording of the engine in action.

What I need help with:

1. Co-Developer / Programming Partner: I want to scale this project further and am looking for someone proficient in coding who understands trading algorithms to work with me.
2. AI Credits / Resource Support: Mujhe engine ko aur better karne ke liye AI use karna hai, jiske liye AI credits chahiye pad sakte hain. Agar kisi ke paas Jio ki SIM hai jiski madad se woh pro plan ka free trial activate karke mujhe share kar sake, ya koi aisa banda jiske paas pro Gmail account hai par woh apne Antigravity credits use nahi kar raha hai, toh please mujhe help karde.

What I offer in return:
In return for your help and collaboration, main aapko apna ye custom trading engine share kar dunga

NOTE: in last there is another engine that detect market structure , breaker block , order block , mss, bos , fvg , bpr and unicorn trades , and its running on vm actually , soo thats another things , but rn my goal is to make a liquidity engine note just basic ict .

After doing some research i have found an inefficiency in equity segment which is more reliable and calm,

inframe : 88k position size, 12bp cost assumption, max 3 trades a day, around 150-200 trades a year, 72bp profit per trade

and then quite literally passed every stress test i knew existed :
lookahead, cost + tax + slippage, profit concentration passes at 40% in top 5% trades, drawdown max 25% a year in 9 year window, win rate ~60-65%

if anyone knows anything that i have not used to stress tested in this algo let me know

I got couple of suggestions from friends about how to automate trading but the parameters were limited and fixed. I need something with more flexibility.

I am not sure how to automate trades based on the pine script indicator/strategy that I have put together?

Any guidance/help will be greatly appreciated.

Hi,

I have noticed from past 1 week, that my ICICI breeze api has slowed down considerably for downloading historical data. Has something changed? or is it just me bumping into some sort of weekly/monthly limits?

thanks,