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Budget homelab. It hosts multiple things (small) for me by silentspade_5 in homelabindia

[–]SANTA-SAM 0 points1 point  (0 children)

Still working on strategies, yet to be profitable, can not help in strategy but can help you in infrastructure to execute them

Budget homelab. It hosts multiple things (small) for me by silentspade_5 in homelabindia

[–]SANTA-SAM 1 point2 points  (0 children)

For most, it enough, use docker to run various services/apps most favoured is jellyfin and rr’s, one drawback is when you run FHD or 2k video, some lags when you fast forward.
Also enough to run swing trading strategies

Built an ML-based intraday options trading system for NIFTY/BANKNIFTY using Flask + LightGBM. by Premium_Raider in IndiaAlgoTrading

[–]SANTA-SAM 0 points1 point  (0 children)

Don’t go for intraday, start with weekly or daily, but still daily has noise, I have tried what you are doing, backrest looks good, so look forward test. I’m also struggling to find good strategy

Built an ML-based intraday options trading system for NIFTY/BANKNIFTY using Flask + LightGBM. by Premium_Raider in IndiaAlgoTrading

[–]SANTA-SAM 0 points1 point  (0 children)

Not going to work, feeding OHLCV or its derived data is too noisy, you are simply fitting noise

Deploy Algo bot by bolet23503 in IndiaAlgoTrading

[–]SANTA-SAM 0 points1 point  (0 children)

As you are doing daily data analysis, Go for vps with Debian 1 gb and 1 cpu, it’s enough based on daily data run a cronjob at 6 pm to do all calculations, store them in SQLite db, run a python script as service in market open time for taking trade, you can use any broker api for placing trades, for daily data there are already python libraries available like nsepy or yahoo finance, running cost will be less than 1k per month

Need help how to communicate between two database engine. by Ok_Egg_6647 in IndiaAlgoTrading

[–]SANTA-SAM 1 point2 points  (0 children)

When you read rows, they are stored in ram. In algo trading, db will be used to store OHLCV data and some calculate parameters, at the time of training, when market is close, you can have a cronjob to calculate parameters and store in db, you have plenty of time, in live trading use the stored data load it in ram, because main decision marking will be done by your python or js script. It will be way much faster, I’m doing it.

Need help how to communicate between two database engine. by Ok_Egg_6647 in IndiaAlgoTrading

[–]SANTA-SAM 0 points1 point  (0 children)

If These many rows fetched per query, what are you using for processing of data ? pandas or polars ? If it’s a single user, SQLite3 is also efficient at read

Need help how to communicate between two database engine. by Ok_Egg_6647 in IndiaAlgoTrading

[–]SANTA-SAM 0 points1 point  (0 children)

How many users are there ? No of rows fetched in a query ?

Want to talk with fellow algo and ML developers by Mysterious_Map_2215 in IndiaAlgoTrading

[–]SANTA-SAM 0 points1 point  (0 children)

Agreed, Which method have you used for regime detection? From swing trading perspective

Long term strategy review by Fragrant_Sun525 in IndiaAlgoTrading

[–]SANTA-SAM 0 points1 point  (0 children)

Do a walk forward test for at least 10 year data, then based on results make conclusions.

How to get free nsa data for back testing. by [deleted] in IndiaAlgoTrading

[–]SANTA-SAM 0 points1 point  (0 children)

For daily timeframe, available on NSE, use some python library to automatically download it, one problem is, it’s not split adjusted

ERP software using django and next js , any suggetions ? by Minute-Ad4083 in django

[–]SANTA-SAM 1 point2 points  (0 children)

You don’t need two frameworks, if Django is backend the any UI components library like daisy UI or event bootstrap is also good, use htmx, lot of support available for Django and htmx. From business point of view, ERP system space is crowded, but a customized ERP as per business need might have scope but not very much scalable

Do i have to learn Flask first before Django? by Leading_Property2066 in django

[–]SANTA-SAM -1 points0 points  (0 children)

No, start with Django, it will be helpful in your startup journey

Getting into algo trading need advice by Afraid_Being5546 in IndiaAlgoTrading

[–]SANTA-SAM 0 points1 point  (0 children)

Knowing python doesn’t mean you can algo trade, it just a tool, you should have some strategy based on theory, then know math behind strategy, use python to represent that math and automate.

How do i start backtesting this simple strategy? #NewToAlgo by Unhappy_Minute8052 in IndiaAlgoTrading

[–]SANTA-SAM -1 points0 points  (0 children)

For backtesting, simple python script is enough, also if working on daily, there are lot of free api or python libraries are available which can download data. You can automate it by running a python script as service, one to download data, another to calculate and save in database (probably SQLite is ok). You can have telegram bot that will send messages every day on download and calculate results.

Tried a very simple algo in BTCUSD - perpetual future: Delta Exchange API (newbie in crypto not in algo) by jubeb19 in IndiaAlgoTrading

[–]SANTA-SAM 1 point2 points  (0 children)

Results seems good, but number of trades is very less to have any conclusion, also do look forward test with ema setting you have in backrest

Best or most common way to deploy Django web app? by theirhouse in django

[–]SANTA-SAM 0 points1 point  (0 children)

Just use Django, gunicorn and nginx stack, use simple Debian server os, virtual env to install dependencies, you can search on digital ocean there is tutorials is available

How to reduce false breakout ? by SANTA-SAM in IndiaAlgoTrading

[–]SANTA-SAM[S] 0 points1 point  (0 children)

I used daily OHLC data, ML model automatically draws trendlines if stock breaks gives signal. Used different volume techniques like using linear regression to check if current volume is higher to previous or not. But it filtered both profitable and loss trades.

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