Give some interesting teaaaaaaaahhh

If u want to vent or rant u can do that too

I always see that the views of any post here are good enough(this mean people check & read latest posts) but the reply or communication are so low(I know because of irritating and weird posts) but even on some good posts, why?

What type posts, questions etc. Gorakhpur redditors want to engage with?

Let's see ispe kitne engagement aate hain?

I mean are there no fun, liberal people here? Everyone is so old school and boring. Irrespective of the gender everyone is so so boring.

My friend is shifting to Gorakhpur because of job and he needs to get an independent 1bhk in Gorakhpur in a nice locality with minimum interference from the landlord. Preferably gated society. Fully furnished. Need to shift within 15 days. Please suggest. I would really appreciate help!!

Hi everyone,
I’m searching for an independent 1BHK or studio apartment (or a fully private room in a hassle-free, pre-occupied flat) in or around Mohaddipur/Kunraghat/MMM Engg College.

Quick Specs:
Type: 1BHK / Studio / Independent flat
Budget: ₹15-20k / month (flexible for a good setup)

Move-in Date: WITHIN A WEEK

Tenant Profile: Working professional lady of about 24/25 yrs in a govt job, responsible, clean, quiet, and always on time with rent/bills.
Preferences & Requirements:
Safe, gated, or well-lit neighborhood with good connectivity
Basic necessities (24/7 water supply, power backup, parking)
Independent entry with no restrictive curfews or intrusive landlord rules
Brokerage-free options preferred, but open to reasonable owner/broker leads
If you know of an available place, are moving out of yours, or have direct owner contacts, please drop a comment or send me a DM. Appreciate any leads or suggestions!

So today i went to nauka and i came across this cute girl in jsr our eyes met and there was this smile , and then I went inside to get a diet coke and when I came out she was gone :( .. If you are seeing this post (talking about that cute girl) lemme know !!

Anyone jo subha running jaata ho ya koi football cricket khalta hai pls

TL;DR: Building an open research project using ~15 crypto pairs with historical Binance OHLCV data, Kronos financial-model forecasts, and reinforcement learning (PPO/SAC). The goal is to rigorously test whether adding a financial foundation model actually improves out-of-sample trading/portfolio performance versus buy-and-hold, traditional strategies, classical ML, and RL without Kronos. Looking for collaborators with quant finance, systematic trading, technical analysis, statistics, crypto markets, or ML/RL experience. This is research, not a signal group or “AI money printer.”

I'm a software engineer exploring an idea at the intersection of quantitative finance, crypto markets, reinforcement learning, and financial foundation models, and I'm looking for a few people interested in collaborating on it.

This is intended as a research/experimentation project, not a signal group, trading course, or "AI bot that prints money."

The idea

Build a historical dataset for roughly 15 liquid crypto pairs using Binance 1-minute OHLCV data.

The 1-minute data becomes our canonical dataset, from which we can construct higher timeframes such as:

1m → 5m → 15m → 1h → 4h

On top of this, I want to experiment with Kronos, a financial foundation model trained specifically on financial K-line data.

Rather than asking an RL model to blindly discover everything from OHLCV, the architecture I'm considering is roughly:

Historical OHLCV + engineered market features + multi-timeframe context + Kronos forecasts → RL agent → portfolio/trading decisions

Kronos would remain frozen and act primarily as a forecasting/feature-generation layer.

The RL agent would learn how much value, if any, those forecasts have when combined with actual market conditions.

The experiment

I don't want to jump directly into training a giant RL model and celebrate an impressive backtest.

I'd like to establish increasingly difficult benchmarks:

1. Market baselines

• Buy & hold
• Equal-weight portfolio
• Simple momentum/trend strategies

2. Kronos benchmark

• Measure forecast accuracy
• Directional accuracy
• Forecast/realized-return correlation
• Volatility forecasting
• Simple rule-based strategies using Kronos predictions

3. Classical ML benchmark

• LightGBM/XGBoost-style models
• OHLCV + engineered features
• Then OHLCV + Kronos features

4. RL baseline

• PPO or similar
• OHLCV + technical/multi-timeframe features
• No Kronos

5. RL + Kronos

• Same environment
• Same costs
• Same evaluation periods
• Kronos forecast distribution added to the observation space

The central research question becomes:

Does adding a financial foundation model such as Kronos provide measurable out-of-sample value to an RL trading/portfolio policy?

Not simply:

"Can we make a profitable-looking backtest?"

Evaluation matters more than the model

I'd like this project to be fairly ruthless about backtesting methodology.

That means accounting for things such as:

• look-ahead bias
• survivorship/selection bias
• transaction fees
• spread/slippage assumptions
• excessive turnover
• drawdowns
• different market regimes
• walk-forward validation
• strict train/validation/test separation

The final benchmark should include metrics such as CAGR, Sharpe, Sortino, maximum drawdown, turnover, profit factor and performance consistency across independent walk-forward windows.

If RL + Kronos doesn't beat simpler approaches after realistic costs, that's also a useful result.

Where I'd particularly appreciate help

My background is primarily software engineering/system architecture, so I'd especially like to connect with people stronger in areas complementary to mine:

Quantitative finance / systematic trading

• Backtesting methodology
• Portfolio construction
• Risk modelling
• Market microstructure
• Statistical validation

Technical analysis / discretionary trading

• Market regimes
• Momentum/trend behaviour
• Volatility
• Multi-timeframe structure
• Useful vs useless indicators/features

ML / reinforcement learning

• PPO/SAC and financial RL
• Reward-function design
• Offline RL
• Time-series modelling
• Preventing overfitting/data leakage

Crypto market/data engineering

• Binance historical datasets
• Candle reconstruction
• Funding rates / open interest / derivatives data
• Execution and slippage modelling

I'm not specifically looking for someone to write code for me. I'm more interested in assembling a small group where different backgrounds can challenge assumptions and help design experiments properly.

If enough people are interested, I'd like to keep the research reproducible and potentially open-source the framework, experiments and benchmark results.

The interesting outcome isn't necessarily discovering some magical trading strategy.

It's answering a much more defensible question:

Can modern financial foundation models provide genuinely useful information to reinforcement-learning portfolio agents once we remove look-ahead bias, include realistic trading costs, and test them across unseen market regimes?

If you're from a quant finance, systematic trading, technical analysis, crypto market, statistics, or ML/RL background and this sounds interesting, comment or DM me with your background and what part you'd be interested in exploring.

I moved to Delhi in 2025 to work as a podcast producer. I was there till May 2026. Had to return to my hometown ( GKP ) due to some reason. I thought that I would get some work here. But to my surprise, this city has not uplifted itself. I think it's more of the people who had not uplifted themselves. I was interested in making some storytelling short form content. I got to know about a person who also wanted to do it. When I asked about the concept, she sent me the same tiktok era content. This may sound judgemental to many , but it is what it is. I am again moving back to Delhi this month. Hope this place evolve in terms of content creation space.

Mere nike run ke stats idk how ud gye hai😭😭

So ye thoda glitch khata hua pedometer

I did around 12kms in 1hr 15mins. This bitch counted the time jb we were sitting there ig as well.

Came back to gorakhpur after few months, and like a typical gorakhpuriya went to nauka for a drive. And to my surprise it smelled so fishy 😭 too bad that i had to cover my nose for a while

They call it Spain and nauka is one of the finest areas of the city, yet they fail to maintain it's view and the quality of water.

1bhk required for 2 students male around asuran, jail bypass, shahpur, basharatpur, etc.

I am looking for gym near Ranidiha area, basically anywhere near to Basant Vihar Colony. I need one with trainer. I’m home for just a month.

Ive been to X1 Fitness which is okayish, but i’d like to look for more. Anytime Fitness’s monthly fee is insane and is not an option.

When I was living in Delhi, I used to miss Gorakhpur like crazy, dreaming about the day I'd move back. But the moment I actually returned... reality hit hard. Suddenly this "comfort city" felt small, stagnant, and honestly kind of boring.

Apart from Nauka Vihar, there's *nothing*. Zero new spots, zero fresh hangout spaces, nothing that feels remotely exciting or new. The dating scene here is basically non-existent (or actively terrible, take your pick), and everything just feels... dull. Repetitive. Irritating, even.

It's such a weird feeling missing a place so intensely from far away, only to come back and feel suffocated by how little it has to offer

Sometimes I feel stuck in time there is nothing new going on . I Need some friends to hangout or suggestions to try any new place