{"id":4918,"date":"2026-01-06T09:49:00","date_gmt":"2026-01-06T09:49:00","guid":{"rendered":"https:\/\/cryptonews.com\/cz\/?p=4918"},"modified":"2025-11-17T09:22:47","modified_gmt":"2025-11-17T09:22:47","slug":"jak-umela-inteligence-meni-fungovani-financnich-trhu","status":"publish","type":"post","link":"https:\/\/cryptonews.com\/cz\/news\/jak-umela-inteligence-meni-fungovani-financnich-trhu\/","title":{"rendered":"Jak um\u011bl\u00e1 inteligence m\u011bn\u00ed fungov\u00e1n\u00ed finan\u010dn\u00edch trh\u016f"},"content":{"rendered":"

Um\u011bl\u00e1 inteligence se b\u011bhem posledn\u00edch let stala jedn\u00edm z nejvlivn\u011bj\u0161\u00edch technologick\u00fdch trend\u016f<\/strong>, kter\u00fd zasahuje i do fungov\u00e1n\u00ed finan\u010dn\u00edch trh\u016f. Nejde pouze o investi\u010dn\u00ed t\u00e9ma, kter\u00e9 p\u0159itahuje kapit\u00e1l a pozornost m\u00e9di\u00ed. <\/p>

Jde u\u017e i o postupnou prom\u011bnu tr\u017en\u00ed infrastruktury<\/strong>, kde se n\u011bkter\u00e9 procesy p\u0159esouvaj\u00ed z manu\u00e1ln\u00ed roviny do automatizovan\u00fdch syst\u00e9m\u016f. AI se tak st\u00e1v\u00e1 sou\u010d\u00e1st\u00ed prost\u0159ed\u00ed, ve kter\u00e9m vznik\u00e1 likvidita, prob\u00edh\u00e1 obchodov\u00e1n\u00ed a vyhodnocuj\u00ed se informace.<\/p>

Jedn\u00edm z nejv\u00fdznamn\u011bj\u0161\u00edch posun\u016f je r\u016fst pod\u00edlu automatizovan\u00e9ho obchodov\u00e1n\u00ed<\/a><\/strong>. R\u016fzn\u00e9 studie a burzovn\u00ed statistiky uv\u00e1d\u011bj\u00ed, \u017ee na vysp\u011bl\u00fdch trz\u00edch p\u0159edstavuj\u00ed algoritmick\u00e9 strategie des\u00edtky procent celkov\u00e9ho objemu. <\/p>

P\u0159esn\u00fd pod\u00edl se li\u0161\u00ed podle trhu a segmentu, ale trend je jednozna\u010dn\u00fd. Automatizace se st\u00e1v\u00e1 b\u011b\u017enou sou\u010d\u00e1st\u00ed obchodn\u00edho procesu<\/strong>. Pro obchodn\u00edky to znamen\u00e1 nov\u00e9 prost\u0159ed\u00ed, kde hraje roli rychlost zpracov\u00e1n\u00ed dat i zp\u016fsob, jak\u00fdm technologie interpretuje ud\u00e1losti.<\/p>

Od jednoduch\u00fdch algoritm\u016f k pokro\u010dilej\u0161\u00edm model\u016fm<\/strong><\/h2><\/span>

Tradi\u010dn\u00ed algoritmy pracovaly s pevn\u011b definovan\u00fdmi pravidly. Naproti tomu modern\u00ed modely u\u017e dok\u00e1\u017eou pracovat s \u0161ir\u0161\u00edm spektrem informac\u00ed a rychleji reaguj\u00ed na zm\u011bny v prost\u0159ed\u00ed. Syst\u00e9my se um\u00ed p\u0159izp\u016fsobit ne\u010dekan\u00fdm ud\u00e1lostem, rychle upravuj\u00ed parametry exekuce a vyhodnocuj\u00ed data v re\u00e1ln\u00e9m \u010dase<\/strong>. Obchodn\u00edk sice i nad\u00e1le stanovuje strategick\u00fd r\u00e1mec, ale mnoho rozhodnut\u00ed prob\u00edh\u00e1 automatizovan\u011b.<\/p>

\"Vztah
Vztah technologick\u00fdch spole\u010dnost\u00ed v oblasti AI k OpenAI. Zdroj: Financial Times<\/figcaption><\/figure>

V praxi tak vznik\u00e1 prost\u0159ed\u00ed, kde lidsk\u00e1 anal\u00fdza a strojov\u00e9 zpracov\u00e1n\u00ed funguj\u00ed vedle sebe<\/strong>. V\u00fdhodou technologick\u00e9 vrstvy je rozsah dat, kter\u00fd je schopna vyhodnotit. Ve\u0159ejn\u00e1 ozn\u00e1men\u00ed, makroekonomick\u00e9 zpr\u00e1vy nebo zm\u011bny objemy na trz\u00edch se dost\u00e1vaj\u00ed do rozhodovac\u00edho procesu b\u011bhem zlomku vte\u0159iny.<\/p>

Kdy\u017e na trhu interaguj\u00ed r\u016fzn\u00e9 typy syst\u00e9m\u016f<\/strong><\/h2><\/span>

R\u016fst po\u010dtu automatizovan\u00fdch strategi\u00ed vytv\u00e1\u0159\u00ed prost\u0159ed\u00ed, kde se r\u016fzn\u00e9 modely potk\u00e1vaj\u00ed na jedn\u00e9 cenov\u00e9 hladin\u011b. Ka\u017ed\u00fd z nich pou\u017e\u00edv\u00e1 jinou logiku, data a zp\u016fsob, jak\u00fdm reaguje<\/strong>. Pr\u00e1v\u011b toto prol\u00edn\u00e1n\u00ed m\u016f\u017ee ovliv\u0148ovat volatilitu, rychlost pohyb\u016f i charakter kr\u00e1tkodob\u00fdch reakc\u00ed. Neznamen\u00e1 to v\u0161ak, \u017ee by finan\u010dn\u00ed trhy ztratily smysl nebo strukturu. Sp\u00ed\u0161e se m\u011bn\u00ed mechanismus, kter\u00fdm se informace p\u0159en\u00e1\u0161\u00ed do ceny<\/strong>.<\/p>

\n
\"Algorithmic
Algo Trading Market (2025 – 2030). Zdroj: Grand View Research<\/a><\/figcaption><\/figure>\n<\/div>

Co se t\u00fd\u010de strategie, tak ta st\u00e1le z\u016fst\u00e1v\u00e1 v rukou obchodn\u00edka. Instituce i jednotlivci ur\u010duj\u00ed c\u00edle, limity a \u010dasov\u00fd horizont. Technologie pouze zaji\u0161\u0165uje rychlej\u0161\u00ed a p\u0159esn\u011bj\u0161\u00ed proveden\u00ed v prost\u0159ed\u00ed<\/strong>, kde se objem dat neust\u00e1le zvy\u0161uje.<\/p>

Dostupn\u011bj\u0161\u00ed n\u00e1stroje pro retail<\/strong><\/h2><\/span>

Zm\u011bny nejsou viditeln\u00e9 pouze u institucion\u00e1ln\u00edch subjekt\u016f<\/strong>. Modern\u00ed investi\u010dn\u00ed platformy za\u010daly zp\u0159\u00edstup\u0148ovat analytick\u00e9 n\u00e1stroje, kter\u00e9 byly d\u0159\u00edve ur\u010den\u00e9 pouze profesion\u00e1ln\u00edm t\u00fdm\u016fm. Jde nap\u0159\u00edklad o pokro\u010dilej\u0161\u00ed pr\u00e1ci s daty, simulace sc\u00e9n\u00e1\u0159\u016f nebo automatizovan\u00e9 \u0159\u00edzen\u00ed rizika. Drobn\u00ed obchodn\u00edci tak z\u00edsk\u00e1vaj\u00ed mo\u017enost l\u00e9pe vyhodnocovat situaci na trhu a p\u0159esn\u011bji \u0159\u00eddit sv\u00e9 portfolio<\/strong>.<\/p>

\n

Here is an interesting fact about the DotCom bubble collapse from 2000 to 2002

When the bubble burst, the tech heavy Nasdaq 100 fell 77% and the S&P 500 fell 49%, dragged down by extremely overvalued Internet Tech stocks.

At the same time, Warren Buffett's Berkshire Hathaway\u2026 pic.twitter.com\/fzuHDrEeVA<\/a><\/p>— Adam Khoo (@adamkhootrader) October 8, 2025<\/a><\/blockquote>