SaintQuant Launches No-Code AI Trading Platform With Pre-Built, Risk-Managed Strategies and No-Deposit Trial

Cai s, Aust alia, July 06, 2026 (GLOBE NEWSWIRE) — Sai tQua t, a o-code, AI-powe ed automated t adi g platfo m, today a ou ced the availability of its p e-built qua titative t adi g st ategies ac oss c yptocu e cies, stocks, a d futu es — each with isk ma ageme t built di ectly i to the st ategy — alo gside a o-deposit t ial that lets ew use s test live st ategies befo e committi g capital. The lau ch comes as dema d fo AI-powe ed t adi g tools ises ac oss both stock a d c yptocu e cy ma kets, with i depe de t a alysis i dicati g that AI-d ive a d algo ithmic systems a e i c easi gly shapi g etail i vesto behavio wo ldwide.

AI T adi g Tools Eme ge as a Multi-Asset G owth D ive

I dust y a alysts a d fi tech esea che s epo t that etail adoptio of AI t adi g tools is isi g steadily, with otable diffe e ces ac oss asset classes. Acco di g to agg egated thi d-pa ty ma ket data:

• AI t adi g-tool adoptio i c yptocu e cy ma kets i c eased by mo e tha 40% yea -o -yea .
• Automated t adi g-system usage i stock ma kets ose by oughly 28%.
• Algo ithmic t adi g pe et atio co ti ues to expa d i fo ex ma kets.

A alysts desc ibe the t e d as a st uctu al shift — away f om disc etio a y, emotio -d ive t adi g a d towa d data-d ive , model-based decisio -maki g amo g eve yday i vesto s.

Sea ch Dema d Sig als a Begi e -Led Wave

I depe de t esea ch t acki g sea ch behavio poi ts to b oade i g etail i te est i 2026:

• Global sea ch volume fo “AI t adi g tools” ose mo e tha 55% yea -o -yea , acco di g to thi d-pa ty a alytics p ovide s.
• “Automated t adi g system fo begi e s” has become o e of the fastest-g owi g etail i vesti g que ies.
• Dema d fo automated stop-loss a d AI st ategy tools is climbi g, pa ticula ly i c ypto ma kets.

Resea che s ote that the g owth is d ive ot o ly by p ofessio als but by begi e s seeki g automated, passive app oaches — a cha ge i who automatio is built fo .

Risk Ma ageme t Becomes the I dust y P io ity

Acco di g to fi tech expe ts, AI t adi g bots that combi e machi e-lea i g models, eal-time data a alysis, a d automated executio a e bei g c edited with imp ovi g efficie cy a d educi g emotio al decisio -maki g. I c easi gly, howeve , the diffe e tiato is ot aw automatio but discipli e.

“The fi st wave of adoptio was about co ve ie ce — letti g softwa e place t ades,” said a Sai tQua t spokespe so . “The cu e t wave is about t ust. Retail i vesto s wa t automatio that ma ages isk fo them, ot tools that simply t ade faste . That is whe e the ma ket is co solidati g, a d it is the sta da d we build to.”

I dust y pa ticipa ts poi t to seve al adva tages automated systems ca offe ove ma ual app oaches, i cludi g co ti uous ma ket mo ito i g, faste executio , co siste t ule-followi g, a d built-i isk co t ols such as positio limits a d automated stop-losses.

Lowe Ba ie s A e Fueli g Mai st eam Adoptio

Fi tech compa ies have focused o educi g ba ie s to e t y. A typical o boa di g wo kflow ow i volves th ee stages: accou t setup, st ategy selectio based o isk tole a ce a d capital, a d activatio of automated t adi g with pe fo ma ce visible th ough a dashboa d.

Sai tQua t ope ates i this segme t as a o-code, AI-powe ed automated t adi g platfo m. It p ovides p e-built qua titative st ategies ac oss c yptocu e cies, stocks, a d futu es, with isk ma ageme t st uctu ed di ectly i to each st ategy, a d ha dles executio a d 24/7 mo ito i g automatically — emovi g the codi g a d co figu atio that histo ically kept automatio out of each fo begi e s. New use s ca explo e live st ategies th ough a o-deposit t ial. Mo e i fo matio is available at Sai tQua t.com.

Outlook: Towa d a AI St ategy Ecosystem

Beyo d executio , i dust y pa ticipa ts a e buildi g ope st ategy ecosystems that let develope s a d qua titative t ade s test a d sha e models — a eme gi g “AI qua titative st ategy ma ketplace” spa i g asset classes a d isk p ofiles. A alysts believe AI-powe ed automated t adi g will become a sig ifica t fi tech g owth segme t ove the ext th ee to five yea s, with i f ast uctu e scalability a d st ategy ecosystems as key diffe e tiato s.

Sai tQua t emphasizes that o automated system ca gua a tee p ofit, a d that all t adi g ca ies isk, i cludi g the possible loss of capital. The compa y f ames automatio as a tool fo discipli ed, co siste t pa ticipatio — ot a p omise of etu s.

About Sai tQua t

Sai tQua t is a o-code, AI-powe ed automated t adi g platfo m built fo use s who wa t automated t adi g without tech ical complexity. It combi es eal-time qua titative modeli g, co ti uous automated executio , a d built-i isk ma ageme t ac oss c yptocu e cies, stocks, a d futu es. By ha dli g st ategy ma ageme t a d ma ket mo ito i g automatically, Sai tQua t aims to give etail a d i stitutio al i vesto s access to discipli ed, automated t adi g ac oss ma ket co ditio s. Lea mo e at https://sai tqua t.com.

Media Co tact

Name: Rya Mitchell

Email: ya .mitchell@sai tqua t.com

Website: https://sai tqua t.com

Disclaime : The i fo matio p ovided i this p ess elease is ot a solicitatio fo i vestme t, o is it i te ded as i vestme t advice, fi a cial advice, o t adi g advice. I vesti g i volves isk, i cludi g the pote tial loss of capital. It is st o gly ecomme ded you p actice due dilige ce, i cludi g co sultatio with a p ofessio al fi a cial adviso , befo e i vesti g i o t adi g c yptocu e cy a d secu ities. You a e solely espo sible fo you i vestme t decisio s a d assume all associated isks. Neithe the media platfo m o the publishe shall be held espo sible fo a y f audule t activities, mis ep ese tatio s, o fi a cial losses a isi g f om the co te t of this p ess elease.