Pranayak

Everyone can be great because everyone can serve.

[Pranayak @upranayak]

Crazy!

[Pranayak @upranayak]

#god #religion #love #book

[Pranayak @upranayak]

@PhysInHistory Superposition ≠ Being in Two Places at Once

[Pranayak @upranayak]

@adalluch But the question is, how to expand our consciousness?

[Pranayak @upranayak]

@MIT_CSAIL C

[Pranayak @upranayak]

@HereLiesBlueDog Bro’s thinking about what crazy thing to do next.

[Pranayak @upranayak]

Want to change your life? Build high agency. Nothing beats the mindset that says - “If it’s possible, I’ll find a way”.

#Motivation #success #life

[Pranayak @upranayak]

These rules may sound generic to an average trader, but following the simple yet effective rules might help you get consistent profits in any type of market. #markets #trading #Bitcoin2025 #trade #forex #investing

[Pranayak @upranayak]

Everyone wants to win in the markets, but only a few traders follow a set of ironclad rules in all conditions. Anyone can follow these rules and book consistent profits in any kind of market, whether the market is highly bullish, quiet, or bearish and volatile.

[Pranayak @upranayak]

Defining our own position sizing ultimately depends on our risk appetite. You should have a clear and well-defined threshold for how much risk you’re willing to take. We should try to reduce the impact of inevitable mistakes on our overall performance in the market.

[Pranayak @upranayak]

I believe it’s possible to build a “Holy Grail” system for a specific market type but it’s impossible to find one that fits all market types.

[Pranayak @upranayak]

Day -> 58/100 of #100DaysOfCode

✅ Natural Language Processing- TFIDF Theory

[Pranayak @upranayak]

Day -> 57/100 of #100DaysOfCode

✅ DSA- Quick sort, binary search with and without recursion(code+theory)

✅ Natural Language Processing- Stemming, Lemmatization, Count Vectorizer (code+theory)

[Pranayak @upranayak]

Day -> 56/100 of #100DaysOfCode

✅ DSA- Bubble, Selection, Merge, Insertion Sort(code+theory)

✅ Natural Language Processing- Bag of words, Tokenization, Count Vectorizer, Normalization Character/Word/subword based Tokenization, Stopwords, NLTK