#SEBi

[andjeocuvar]

Želim da se ježim,

dok me gledaš.

[fairylando]

i literally just came back home from watching venom 3 (gayest shit ever) AND ALL OF THIS HAPPENED??? and brasil house got kind of confirmed too?????👀

also im begging give me this photo in hd my 555 rights 😭😭 the two eras of me loving f1... 5 numbered guys

[forzacinquesedici]

made these into polaroids and gave myself some Big Feelings

[f-y-b-k]

[nilobunny]

sketch commission for @sebb3r of their ice cream cat, Sebi! please follow me! bluesky || itaku || twitter || furaffinity || patreon

[littlebigfandomtrash]

Sebihawk halloween doodles

[yeahthatsmypapi]

[cirilee]

cuties for @crazyvik97 🥹❤️❤️❤️

go check out her "for i have sinned" tag!! its about an AU where a priest falls in love with a punker, its very ADORABLE

[xlalitax]

Be honest….. what is the situation with you and Sebi?

“ the situation is a man from Jersey Shore so there is not situation with me and Sebi. He’s my soon to be husband for family reasons and he’s been actually a really good friend as much as I want to deny that fact. Offering to do that for me is kind of huge. I owe him.

Is he easy on the eyes? Yeah. But we’re taking that to the grave @sebitorres

[savagefunk]

[tianalavica]

[andjeocuvar]

O ovome se ne priča

Niko zapravo ne priča o stvarim problemima, o onima što nas ubijaju svaki dan. I ne to nije poksupljenje hleba, niti ko je na vlasti, i nije zato što je gužva u prevozu. Te stvari nikog od nas zapravo ne dotiču, ali svi uporno pričamo o glupostima jer niko od nas neće da prizna zapravo koliko je sjeban. I ne znam kad je ovo postalo ovako, samo odjednom preokret. Ćutanje. A vrištala bih svaki dan koliko sam uništena, ispražnjena, sjebana. Pričala bih o svojim problemima, o pravim problemima. Više nemam snage da glumim. Jednostavno nemam, i znate kako me sad ljudi gledaju? Ne gledaju...i kad krenem da pričam, da spomenem, da načnem temu samo mi kažu "prolazno", i onda ni ne završim sve ono što želim. Ućutim. I verujte mi boli, boli što sam ja uvek tu za druge, i što pokušavam da nađem svako rešenje, a sad kad trenutno nemam rešenje za sebe, opet sam sama. I proći će, možda. Ali i ako ne prođe, jebiga.

Ali o ovome se ne priča.

[mafiatsunafish]

"You just wait sunshine, you just wait..."

[blog101ig]

Riding the Digital Wave: Algorithmic Trading in India

Brief Introduction :-

Algorithmic Trading in India has emerged as a transformative force, leveraging advanced algorithms and cutting-edge technology to revolutionize financial markets. It uses intricate mathematical models to execute trades at blazing speed, giving traders speed and accuracy. We investigate available resources, negotiate regulatory frameworks, and look forward to the bright future of algorithmic trading in this ever-changing scene, which is revolutionizing our understanding of and interactions with finance in the Indian market.

History of Algorithmic Trading in India :-

In India, algorithmic trading began in the early 2000s and gained popularity when computerised trading platforms were introduced. An important turning point was the transition from conventional floor trading to screen-based systems, which set the stage for algorithmic trading techniques. Edelweiss Financial Services was a trailblazing organisation in this regard, having adopted algorithmic trading due to its effectiveness and speed, particularly when it came to processing big orders. As technology evolved, financial institutions in India followed suit, with the advent of Direct Market Access (DMA) further quickening the adoption and enabling traders to directly communicate with exchanges. The market has grown increasingly sophisticated over time as a result of Indian companies using artificial intelligence and creating their own proprietary algorithms. Algorithmic trading is currently a major participant in the financial ecosystem in India.The market has grown increasingly sophisticated over time as a result of Indian companies using artificial intelligence and creating their own proprietary algorithms. Algorithmic trading is becoming a major force in India's financial sector, changing the nature of the market and providing new opportunities for both investors and traders.

What is HFT?

High-frequency trading, or HFT for short, is a type of algorithmic trading that uses sophisticated algorithms to execute a large number of orders at speeds never seen before in the financial industry. HFT has emerged as a major force in the Indian financial scene, using cutting-edge technology to take advantage of tiny price differences and inefficiencies in the market. HFT seeks to take advantage of momentary opportunities by analysing data quickly and acting quickly, improving market efficiency and liquidity. Its function is scrutinised, too, and this has sparked debates about how it affects market stability and the necessity of regulatory regimes.

Regulations for Algorithmic Trading in India :-

The Securities and Exchange Board of India oversees algorithmic trading in India (SEBI). The "Algorithmic Trading Framework," a set of recommendations published by SEBI in 2011, was designed to guarantee equitable and transparent market operations. To protect against systemic risks associated with algorithmic trading and to promote market integrity, the laws include requirements for the use of "unique client codes" to track individual trades, risk controls, and order-to-trade ratio limitations.

Skills Required for Algorithmic Trading :-

Econometrics is a tool used in algorithmic trading to model and analyse economic data, offering insights into market movements and possible trading opportunities.

Programming abilities are necessary for developing and putting trading algorithms into practice, which allows for the automation and quick execution of strategies in volatile market environments.

Quantitative analysis: Used to assess market dynamics and financial instruments, enabling traders to spot trends and create data-driven algorithmic trading methods.

Probability and statistics are used to evaluate the chance of market events, which helps with risk management and the development of algorithms that adapt to shifting market conditions.

Proficiency in Financial Markets and Trading: Essential for comprehending market subtleties, allowing traders to create algorithms that conform to current market structures and circumstances.

The ability to reason logically is essential for creating algorithmic trading strategies with clear rules and logic that enable methodical decision-making in the face of changing market conditions.

Conclusion and Future Scope :-

In summary, algorithmic trading has improved market efficiency and opened up new trading opportunities for traders, dramatically changing the Indian financial scene. As the sector continues to be shaped by technological breakthroughs, machine learning, and regulatory frameworks, the future prospects are bright. Algorithmic trading is expected to become increasingly prevalent and play a crucial part in the future of India's financial markets, which are active and growing at a quick pace.

[f-y-b-k]

[lifeinbooks]