Exactly one year ago, I didn’t know the difference between a while loop and a Moving Average. I was just a college student who got obsessed with the markets.

So I went all in for 12 months:

The binge: Watched way too many YouTube strategy videos

The grind: Learned Python just to test if those strategies actually worked

The build: Started coding every strategy that seemed remotely viable

Fast forward to today — I’ve built around 30+ algorithmic trading scripts covering things like:

MACD systems

RSI scalping

Heikin Ashi trends

Mean reversion

Most of them integrate with APIs like Alpaca / CCXT / MT5/ Dhan, and honestly, the biggest learning wasn’t the strategies—it was figuring out:

how to structure trading logic

handle live data

execute orders reliably

If I could go back, I’d skip 80% of the “tutorial hell” and just focus on building + testing faster.

Happy to share more if anyone’s interested—also added some details in my profile.

I will be fetching candle data from upstox api (using upstox plus plan) through the webhook for 40 symbols, keep aggregating them into 3min and 5min data as well and store them locally for the day. plot charts with the data saved locally for visual representation of the strategy.

I’m a scalper who look into fast trades capturing 5-7 points in options trading of indices. The key is the latency

How much work is this according to the cloud systems and which plan would i opt for?

Any suggestion would be of great use to me

PS: I’m a gamedev who got into algo trading just 3 months back. So not an expert. Just someone who knows what to do and not exactly how to do. I keep going forward based on my requirements and find best possible solutions through research as I go

Hey Folks,

To ppl running algos..

did your system get affected with this limit order shift

Thinking should shift to IOC orders or build something entirely custom based on volume ..

Looking for someone with expertise to set up Algo trading and run operations daily.Location Mumbai.Salary can be discussed upon meeting.

hi everyone i got this beta tool for indicators and conditions based backtesting tool where you can put 200+ indicators and conditions

www.strategybender.cloud

Hi All! I am trying to understand the problems with current algo trading platforms. which one do you feel is fully developed for advanced traders? what are the problems you face?

We run a structured option selling approach focused on risk management and consistency over the long term.
The strategy targets ~1–6% monthly, not fixed, depending on market conditions. The focus is on capital protection and disciplined execution.
Backtesting across different market conditions can also be shared for transparency.

Looking to connect with serious investors ₹15L+ capital, who understand long term investing and realistic expectations.

If this aligns with you, feel free to DM or comment.

Disclaimer: This is for informational purposes only and does not constitute investment advice. Markets are subject to risk.

i searched NSE website but i didn't get any specific results.

where do i get constituent list of nifty 2020,2021 etc?

Hey id appreciate some feedback/ beta testers for our app called dojo- Does 2 things right now 1: Gemina- basically you know how traders need to know at exactly ehat times do two assets diverge, whats the deviation and when will they meet again? This does that. Take any two assets and calculate their divergence and convergence stats under your defined thresholds. Meant for pair traders

2: Permucheck- take any asset and any indicator/ pair of indicators and run upto millions of permutation checks per run, under your thresholds

We also have some data loading softwares Fetchrr and Loadrr that are in beta, would really appreciate feedback for these as well.

dojo.studentone.tech

Both have limited free starting creds but happy to give more for some feedback

Hi everyone,

I’m trying to understand real-world challenges faced by people actively running algo strategies with capital (not beginners/backtesting) in India.

I’ve been going through different platforms and setups, and it feels like the problem isn’t just strategy — it’s everything around it (infra, execution, monitoring, costs).

Would really appreciate insights from people actually running systems.

Your current setup

• What does your stack look like today?
  • (Python + API / VPS / AWS / OpenAlgo / Tradetron etc.)
• Do you run it locally or on cloud?

Deployment & infra

• What’s the most painful part of going from strategy → live?
• Do things like static IP, uptime, server issues create problems?

Execution reality

• How reliable is execution in live markets vs backtest?
• Do you face:
  • Order failures?
  • Slippage differences?
  • Latency spikes?

Monitoring & debugging (very curious about this)

• How do you track P&L and strategy performance in real time?
• When something goes wrong, how do you debug why it failed?

Cost vs profit

• Roughly how much do you spend monthly (infra + API + brokerage)?
• Does cost meaningfully eat into your returns?

Platform comparison

For those who’ve used multiple:

• Zerodha
• Dhan
• INDmoney
• Groww

How would you compare them on:

• API reliability
• Ease of setup
• Execution quality
• Overall experience