๐ฅ #DAY1 on the portfolio optimization project
Today I focused on understanding the project before touching any code, and honestly, a lot of new finance concepts hit me at once๐ค๐๐but I try to manage it.
What I Have done and learn today:
Pulled historical data via YFinance and cleaned missing values
๐ Explored trends, volatility, and outliers through visualizations
๐งช Ran stationarity tests (ADF) prices are non-stationary, returns are stationary
โ ๏ธ Calculated risk metrics VaR and Sharpe Ratio for all 3 assets
Struggle of the day: finance terms were genuinely new to me, try to understand by using simple real-life analogies just to get the concepts to startโก๏ธโก๏ธ
Day2 will be on the forecasting models ๐ฅ๐ฅ
And also don't forget to take hydration break๐๐
Today I focused on understanding the project before touching any code, and honestly, a lot of new finance concepts hit me at once๐ค๐๐but I try to manage it.
What I Have done and learn today:
Pulled historical data via YFinance and cleaned missing values
๐ Explored trends, volatility, and outliers through visualizations
๐งช Ran stationarity tests (ADF) prices are non-stationary, returns are stationary
โ ๏ธ Calculated risk metrics VaR and Sharpe Ratio for all 3 assets
Struggle of the day: finance terms were genuinely new to me, try to understand by using simple real-life analogies just to get the concepts to startโก๏ธโก๏ธ
Day2 will be on the forecasting models ๐ฅ๐ฅ
And also don't forget to take hydration break๐๐
๐ฅ3
Good night fams ๐ด๐ด
Everyday begins with expectations and
ends with experience๐
โค2
Forwarded from TechVibe
If you're not tired of rejecting me, I won't be tired of applying. ๐
GN gangโ๏ธ
@devwitheyob
#TechVibe #jobs #LinkedIn
GN gangโ๏ธ
@devwitheyob
#TechVibe #jobs #LinkedIn
๐2
Media is too big
VIEW IN TELEGRAM
Let's bless our Fridayโบ๏ธ with Loza's thoughts. The way she sees things from such amazing perspectives always amazes me.๐ค Don't forget to check her out on TikTok and Instagram when you take a break from your PC! ๐
For today, I want to share some of her understanding in an eye-catching way:
It is incredibly easy to fall into a victim mindset and blame our background, our environment, or the circumstances around us for our struggles. But while those excuses might feel valid, staying trapped in a cycle of complaining only drains our power and keeps us completely stuck.
The Core Philosophy: If you want your life and circumstances to change, stop waiting for the outside world to fix it... take accountability and change it yourself.
Melkam Friday โ๏ธ
#simruthoughts
For today, I want to share some of her understanding in an eye-catching way:
It is incredibly easy to fall into a victim mindset and blame our background, our environment, or the circumstances around us for our struggles. But while those excuses might feel valid, staying trapped in a cycle of complaining only drains our power and keeps us completely stuck.
True maturity and freedom begin the moment we take full responsibility for our own lives. When we stop leaking our energy into blame, we finally gain the power to steer our future toward where we actually want to go.
The Core Philosophy: If you want your life and circumstances to change, stop waiting for the outside world to fix it... take accountability and change it yourself.
Melkam Friday โ๏ธ
#simruthoughts
โคโ๐ฅ2๐1
Friday check-in... how did you spend your day? โ๏ธโจ
Anonymous Poll
33%
๐ป Just quietly getting through my tasks.
11%
โ๏ธ Enjoying a peaceful day away from the screen.
0%
๐ Taking a deep breath and recharging for the weekend.
33%
๐ Seeing Simri's message on her channel
22%
๐คท Just doing nothing.
Forwarded from Luna's pathway๐ค (Luna)
Please open Telegram to view this post
VIEW IN TELEGRAM
๐คฃ5
Forwarded from Lid's Verse (Lidiya)
The world is small place for real๐คฏ Some one you know knows some one. By this rate i think i might know someone who have close contact with Elon musk
@lidsverse
@lidsverse
How was your weekend, fams? ๐ Did you take enough break to start the new week with good energy? ๐ฅ๐ฅ Or did you just spend the weekend with grinding? ๐ช Let us know! โบ๏ธโบ๏ธ
๐ฅฐ2
๐ฅ3๐2
Simret.exe
๐ฅ #DAY1 on the portfolio optimization project Today I focused on understanding the project before touching any code, and honestly, a lot of new finance concepts hit me at once๐ค๐๐but I try to manage it. What I Have done and learn today: Pulled historicalโฆ
#ProjectUpdate
I got so focused on this project (and honestly surprised by how much there was to learn ๐ ) that I forgot to post updates. I was busy learning new finance terms and trying to finish before the deadline.
It was a great experience, but it taught me one important thing: fintech is not something you can learn quickly. It takes a lot of reading, practice, and patience because some concepts take time to understand.
What I found difficult (but finally understood):
๐ Stationary vs. non-stationary data
โ ๏ธ VaR & Sharpe Ratio (understanding risk and reward)
๐ฎ Confidence intervals why long-term predictions are much less certain than short-term ones
What I built:
๐ Cleaned and analyzed real stock data (TSLA, BND, SPY)
๐ค Compared ARIMA and LSTM LSTM was about 3ร more accurate
๐ Predicted TSLA stock prices for the next 12 months with uncertainty ranges
โ๏ธ Built an optimized investment portfolio using Modern Portfolio Theory
๐งช Backtested it against a simple benchmark to see if the strategy could actually outperform the market.
Biggest lesson:
A model that makes good predictions is not always a strategy that works in the real world. In fintech, knowing when not to trust a model is just as important as knowing how to build one.
Learning these things was challenging, but that's what real learning looks like. ๐ช
I got so focused on this project (and honestly surprised by how much there was to learn ๐ ) that I forgot to post updates. I was busy learning new finance terms and trying to finish before the deadline.
It was a great experience, but it taught me one important thing: fintech is not something you can learn quickly. It takes a lot of reading, practice, and patience because some concepts take time to understand.
What I found difficult (but finally understood):
๐ Stationary vs. non-stationary data
โ ๏ธ VaR & Sharpe Ratio (understanding risk and reward)
๐ฎ Confidence intervals why long-term predictions are much less certain than short-term ones
What I built:
๐ Cleaned and analyzed real stock data (TSLA, BND, SPY)
๐ค Compared ARIMA and LSTM LSTM was about 3ร more accurate
๐ Predicted TSLA stock prices for the next 12 months with uncertainty ranges
โ๏ธ Built an optimized investment portfolio using Modern Portfolio Theory
๐งช Backtested it against a simple benchmark to see if the strategy could actually outperform the market.
Biggest lesson:
A model that makes good predictions is not always a strategy that works in the real world. In fintech, knowing when not to trust a model is just as important as knowing how to build one.
Learning these things was challenging, but that's what real learning looks like. ๐ช
๐5
Hustle like your life depends on it
1 right move can change your life!
Keep moving your future self will thank you ๐ค๐ค๐ซก
#simruthoughts
1 right move can change your life!
Keep moving your future self will thank you ๐ค๐ค๐ซก
#simruthoughts
๐ฅ3