Forex Auto Trading Programvare In India

Forex Trading India - Utprøvd FX Trading Robot Software. Namesta Sat Sri Akal Salaam og Hi. Introducing TBFX til India TBFX er en M arket leder i Forex Trading Systems. TBFX har vært i forkant av Trading Robot Systems i løpet av de siste tiårene vårt mål var å skape et intelligent robotsystem for å utføre handler med klinisk presisjon og for å optimalisere hver enkelt handel. Vår suksess på bedriftsnivå er testament for denne prestasjonen, og vårt system er nå tilgjengelig for privatkunder. Og for første gang vår programvare er tilgjengelig i India. TBFX Robot - Selvlærende automatisk tilpasning software. Our Auto Trading programvare er basert på sofistikerte algoritmer og handelsstrategier som har blitt opprettet over flere år, men å være selvlærende, tilpasser den hele tiden til de forandrede markedsforholdene da den kalibrerer hver dag Dette betyr at det aldri blir utdatert, blir bare mer nøyaktig. Vår TBFX Robot handler for deg 24 timer i døgnet, 5 dager i uken uten menneskelig innblanding. Det automat skanner 6 majors USD, GBP USD EUR USD, EUR JPY, GBP EUR og USD JPY for å finne lønnsomme handelsoppføringer og utganger. Klienter fra noe land kan søke, inkludert for første gang, India. Finn ut mer informasjon Finn ut mer Mer informasjon når du klikker Registrer deg på TBFX GRATIS under. TBFX Live Trades - Her er handlingene stengt i løpet av de siste minuttene. For å sikre fullstendig gjennomsiktighet for deg, publiserer vi alle våre bransjer, oppføringer, utganger, positive handler og negative handler, alle lever som vår robot tar hver trade. Last 5 Trades fra TBFX Robot. Your browser støtter ikke inline rammer eller er for tiden konfigurert til ikke å vise inline frames Se flere TBFX Robot Trades fra i dag For å se en full liste over dagens s handler pluss LIVE åpne posisjoner fra vår handelserklæring på MyFXBook - Klikk på Registrering til TBFX GRATIS nedenfor. TBFX Robot Trading Performance - Du kan følge vår handelsprestasjon. Du kan bekrefte våre handelsresultater i sanntid når de skjer. Merk at vi kan sette opp din trading-konto t å speile denne ytelsen i din personlige trading account. See Full TBFX Robot Daglig, Ukentlig, Månedlig Performance. As du kan se dette kan Robot returnere rundt 1 daglig med lav risiko. For å se en rapport som viser den fullstendige sammenbruddet av TBFX-roboten ved , dag, uke og måned gjennom MyFXBook - Klikk på Registrering til TBFX GRATIS nedenfor. TBFX Live Trading Account - Du kan bekrefte våre handelsresultater publisert på MYFXBOOK. Trades i denne kontoen bruker våre automatiserte signaler og utføres live på virkelige midler vist i vår live bradcast av MT4-plattformen og Tadawul FX Broker-kontoen. Dette viser alle åpne stillinger LIVE med fullstendige forretningsdata. Kontonummer, Dato Handelstid, Type Lotstørrelse, Valuta Pair, Pips laget, med Real Kontosaldo fra vår offisielle Live TBFX s Tadawul FX Handelskonto Mikrokonto brukes for salgsfremmende årsaker. Live Broadcast - Få tilgang til vår faktiske TBFX Live Trading-konto med Tadawul FX. For å se dagens åpne posisjoner, handelsbalanse og Egenkapital, klikk på Registrering til TBFX GRATIS nedenfor. TBFX Market Insight - 1 30 PM GMT Daglig Marked Rundown på 6 Major Valuta Par. Du kan få denne rapporten direkte i innboksen din før 11.00 hver dag. Registrer deg gratis i dag. Dato Publisert 26. juli 2012 1 34 45 PM. R og S poeng er nøkkelpriser for hvert par de er mål og også inngangspunkter. Eksempel EURUSD beveger seg opp til R1 pris og senker seg rundt denne prisen, inn i kortsalgslås i handel med lite fortjeneste, og målrett da den daglige pivoten. Fordeler og ulemper ved automatiserte handelssystemer. Trader og investorer kan slå nøyaktig inngangsavgang og pengehåndteringsregler til automatiserte handelssystemer som tillater datamaskiner å utføre og overvåke handelen En av de største attraksjonene i strategiautomatisering er at det kan ta noen av følelsene ut av handel siden handler er automatisk plassert når visse kriterier er oppfylt Denne artikkelen vil introdusere leserne til og forklare noen av fordelene og ulempene, så vel som realiteten til automatiserte handelssystemer. For relatert lesing, se The Power of Program Trades. What er et automatisert handelssystem Automatiserte handelssystemer, også referert til som mekaniske handelssystemer, algoritmisk trading automatisert handel eller systemhandel, tillater handelsmenn å etablere bestemte regler for både handelsoppføringer og utganger som, når de er programmert, kan være automatisk utført via en datamaskin. Handelsregistrerings - og utgangsreglene kan baseres på enkle forhold, for eksempel et bevegelige gjennomsnittsoverskridende eller kan være kompliserte strategier som krever en omfattende forståelse av programmeringsspråket som er spesifikt for brukerens handelsplattform, eller ekspertisen til en kvalifisert programmør Automatiserte handelssystemer krever vanligvis bruk av programvare som er koblet til en direkte tilgangsmegler, og eventuelle spesifikke regler må skrives på det proprietære språket på plattformen. TradeStation-plattformen bruker for eksempel EasyLanguage programmeringsspråket NinjaTrader-plattformen på annen hånd, bruker ninjaScript-programmeringsspråket Figur 1 viser en e Eksempel på en automatisert strategi som utløste tre transaksjoner i løpet av en handelssession. For relatert lesing, se Global Trade and the Currency Market. Figur 1 En fem-minutters oversikt over ES-kontrakten med en automatisk strategi. Noen handelsplattformer har strategibyggende veivisere som la brukerne gjøre valg fra en liste over ofte tilgjengelige tekniske indikatorer for å bygge et sett med regler som automatisk kan handles om. Brukeren kan for eksempel fastslå at en lang handel vil bli innført når 50-dagers glidende gjennomsnitt krysser over 200-dagers glidende gjennomsnitt på et fem-minutters diagram av et bestemt handelsinstrument. Brukere kan også legge inn ordrenes markedstype eller begrense, for eksempel og når handelen vil bli utløst for eksempel ved stengens lukke eller åpne for neste bar, eller bruk standardinngangene til plattformen. Mange handlere velger imidlertid å programmere egne tilpassede indikatorer og strategier eller arbeide tett med en programmerer for å utvikle systemet. Mens denne typen ically krever mer innsats enn å bruke plattformens veiviser, det gir en mye større grad av fleksibilitet og resultatene kan være mer givende. Dessverre er det ingen perfekt investeringsstrategi som garanterer suksess. For mer, se Bruke tekniske indikatorer for å utvikle handelsstrategier. Når reglene er etablert, kan datamaskinen overvåke markedene for å finne kjøp eller salg av muligheter basert på handelsstrategispesifikasjonene. I henhold til de spesifikke reglene, så snart en handel er innført, vil eventuelle ordrer for beskyttende stopptap etterfølgende stopp og fortjenestemål vil automatisk bli generert I rasktflyttende markeder kan denne øyeblikkelige ordreinngangen bety forskjellen mellom et lite tap og et katastrofalt tap i tilfelle handlingen beveger seg mot handelsmannen. Flere av automatiserte handelssystemer Det er en lang liste over fordeler med å ha en datamaskin overvåke markedene for handelsmuligheter og utføre handler, inkludert. Minimize Emotions Automated t rading-systemer minimerer følelser gjennom handelsprosessen Ved å holde følelser i sjakk, har handlende vanligvis en lettere tid som holder seg til planen. Siden handelsordrer utføres automatisk når handelsreglene er oppfylt, vil forhandlere ikke kunne tøffe eller stille spørsmål til handelen i I tillegg til å hjelpe handelsfolk som er redd for å trekke avtrekkeren, kan automatisert handel dempe de som er tilbøyelige til å overstyrke kjøp og salg ved enhver oppfattet mulighet. Evnen til Backtest Backtesting gjelder handelsregler til historiske markedsdata for å bestemme levedyktigheten av ideen. Når designe et system for automatisert handel, alle regler må være absolutte, uten mulighet for tolkning. Datamaskinen kan ikke gjette. Det må fortelles nøyaktig hva man skal gjøre. Traders kan ta disse presise settene med regler og teste dem på historiske data før de risikerer penger i live trading Forsiktig backtesting tillater handelsmenn å evaluere og finjustere en handelsidee, og å bestemme systemets forventning y det gjennomsnittlige beløpet som en næringsdrivende kan forvente å vinne eller miste per risiko. Vi tilbyr noen tips om denne prosessen som kan hjelpe til med å reflektere dine nåværende handelsstrategier. For mer, se Backtesting Tolkning av fortiden. Oppbevar disiplin Fordi handelsreglene er etablert og handel utføres automatisk, disiplin bevares selv i volatile markeder Dissiplin er ofte tapt på grunn av emosjonelle faktorer som frykt for å miste tap, eller ønsket om å eke litt mer fortjeneste fra en handel. Automatisert handel bidrar til å sikre at disiplinen opprettholdes fordi handelsplanen vil bli fulgt nøyaktig I tillegg er pilotfeil minimert og en ordre om å kjøpe 100 aksjer vil ikke bli feil innført som en ordre om å selge 1000 aksjer. Behov for konsistens En av de største utfordringene i handel er å planlegge handle og handle planen Selv om en handelsplan har potensial til å være lønnsomt, endrer handlende som ignorerer reglene noen forventning systemet ville ha hatt Det er ikke slikt som en handelsplan som vinner 100 av tiden, tapene er en del av spillet. Men tap kan være psykologisk traumatiserende, så en næringsdrivende som har to eller tre tapende handler på rad, kan bestemme seg for å hoppe over neste handel hvis denne neste handelen ville vært en vinner, trader har allerede ødelagt noen forventning systemet hadde automatiserte handelssystemer tillate handelsmenn å oppnå konsistens ved å handle planen Det er umulig å unngå katastrofe uten handelsregler For mer se 10 trinn for å bygge en vinnende Trading Plan. Improved Order Entry Speed ​​Siden datamaskiner reagerer umiddelbart på endrede markedsforhold, automatiserte systemer er i stand til å generere bestillinger så snart handelskriterier er oppfylt. Få inn eller ut av handel noen få sekunder tidligere kan gjøre stor forskjell i handel s utfall Så snart en stilling er innført, genereres alle andre ordrer automatisk, inkludert beskyttende stopp og overskuddsmål Markeder kan bevege seg raskt, og det er demoraliserende til få en handel å nå fortjenesten målet eller blås forbi et stopp tap nivå før ordrene kan til og med bli inngått Et automatisert handelssystem forhindrer dette i å skjer. Diversify Trading Automatiserte handelssystemer tillater brukeren å handle flere kontoer eller ulike strategier på en gang Dette har potensialet til å spre risiko over ulike instrumenter samtidig som det skaper en sikring mot å miste posisjoner. Det som ville være utrolig utfordrende for et menneske å oppnå, utføres effektivt av en datamaskin i løpet av millisekunder. Datamaskinen kan skanne etter handelsmuligheter på en rekke markeder , generere ordrer og overvåke handler. Ulemper og realiteter i automatiserte handelssystemer Automatiserte handelssystemer skryte mange fordeler, men det er noen nedfall og realties som handelsmenn bør være oppmerksomme på. Mekaniske feil Teorien bak automatisert handel gjør det til å virke enkelt å sette opp programvare, programmer reglene og se det handelen I virkeligheten, men automatisert handel i en sofistikert handelsmetode, men ikke ufeilbarlig Avhengig av handelsplattformen, kan en handelsordre oppholde seg på en datamaskin og ikke en server. Det betyr at hvis en Internett-tilkobling går tapt, kan det ikke sendes en ordre til markedet. Det kunne også være en avvik mellom de teoretiske handler som genereres av strategien og ordreinngangsplattformskomponenten som gjør dem til virkelige handler. De fleste handelsfolk bør forvente en læringskurve ved bruk av automatiserte handelssystemer, og det er generelt en god ide å starte med små handelsstørrelser mens prosessen er raffinert. Overvåking Selv om det ville være flott å slå på datamaskinen og gå for dagen, krever automatiserte handelssystemer overvåking. Dette skyldes potensialet for mekaniske feil, for eksempel tilkoblingsproblemer, strømbrudd eller datakrasj, og systemkrev Det er mulig for et automatisert handelssystem å oppleve anomalier som kan resultere i feilordre, manglende ordre eller duplikatordrer Hvis systemet overvåkes, kan disse hendelsene identifiseres og løses raskt. Overoptimering Selv om det ikke er spesifikt for automatiserte handelssystemer, kan handelsfolk som bruker backtesting teknikker skape systemer som ser bra ut på papir og utfører seg fryktelig i et levende marked. Overoptimalisering refererer til til overdreven kurvefitting som gir en handelsplan som ikke er pålitelig i live trading. Det er for eksempel mulig å finjustere en strategi for å oppnå eksepsjonelle resultater på de historiske dataene som den ble testet. Traders tar for eksempel feilaktig på at en handelsplan bør ha nær 100 lønnsomme handler, eller bør aldri oppleve en drawdown for å være en levedyktig plan. Som sådan kan parametere justeres for å skape en nesten perfekt plan som helt mislykkes så snart den blir brukt på et levende marked. Denne overoptimaliseringen skaper systemer som ser ut bra på papir bare For mer, se Backtesting og Forward Testing Betydningen av korrelasjon. Serverbaserte Automation Traders har muligheten til å Kjør deres automatiserte handelssystemer via en serverbasert handelsplattform som Strategy Runner. Disse plattformene tilbyr ofte kommersielle strategier for salg, en veiviser slik at forhandlere kan designe sine egne systemer eller muligheten til å være vert for eksisterende systemer på den serverbaserte plattformen. For en Avgift, det automatiserte handelssystemet kan skanne etter, utføre og overvåke handler med alle bestillinger som ligger på serveren, noe som resulterer i potensielt raskere og mer pålitelige ordreinnganger. Konklusjon Selv om det er en rekke faktorer som ikke er et problem, bør automatiserte handelssystemer ikke betraktes som en erstatning for omhyggelig utført handel Mekaniske feil kan skje, og som sådan krever disse systemene overvåkning Serverbaserte plattformer kan gi en løsning for handelsfolk som ønsker å minimere risikoen for mekaniske feil. For relatert lesing, se Dag Trading Strategies For Beginners. The maksimale mengde penger USA kan låne Gjeldstaket ble opprettet under Second Liberty Bond Act. The rente ved hvilken en depotinstitusjon gir midler opprettholdt i Federal Reserve til en annen depotinstitusjon.1 Et statistisk mål for spredningen av avkastning for en gitt sikkerhets - eller markedsindeks Volatilitet kan enten måles. En handling vedtok den amerikanske kongressen i 1933 som Bankloven, som forbyde kommersielle banker å delta i investeringen. Inntektsavkastningen refererer til hvilken som helst jobb utenfor gårder, private husholdninger og nonprofit-sektoren. Det amerikanske presidium for arbeid. Den valuta forkortelsen eller valutasymbolet for den indiske rupee INR, valutaen av India Rupee består av 1.MT4 Robo plugin er lansert ring 9142227173 for detaljer. Hemmeligheten bak en vellykket handel er et godt risikopremieforhold. Hvis du ignorerer dette, vil du sikkert miste det. Det har ikke blitt omhyggelig, hvilket stort diagram eller handelsstrategi du bruker. De fleste kartleverandører og tipsleverandører ignorerer RRR Resultat ja du vet det. Emotion er den største fienden av trading Bruk Auto Trading programvare og se forskjellen. Hva er Robotic Trading System. Robotic trading system også referert som algo trading, automatisk handel, algoritmisk handel eller automatisk handel eksekutor, tillate handelsmenn å gå inn og ut av handel uten menneskelig inngrep basert på enkle eller komplekse forhold. De fleste av de robotiske handelssystemene krevde en kartleggingsprogramvare med sanntidsdata, handelskonfigurasjonsplugin og meglerhandelsterminalen Alt du trenger å gjøre er å aktivere en strategi i kartleggingsprogramvaren og kjøre robotic trade plugin det vil løpe til du deaktiverer det Du kan overvåke ytelsen din når som helst og gjøre endringer i sanntid etter behov. Det første innen robothandel er å skape en handelsstrategi. Strategien kan flytte gjennomsnittlig crossover, pivotnivåbrudd, åpningsintervallbryte ORB eller oscillatorrelaterte strategier, for eksempel hvis strategien din er 20-5 glidende gjennomsnittlig crossover når 5 periode glidende gjennomsnitt krysser 20 periode beveger seg gjennomsnittlig i oppadgående retning, vil en kjøpssituasjon oppstå, og robot handelsprogramvare vil legge inn en kjøpsordre til handelsterminalen. Basert på din exitstrategi, vil den bestille gevinster eller utgang når du stopper tap-treff. For eksempel hvis kjøpesummen din er 7700, er målet 7750 og stoppe tap er 7680 etter at kjøpsignalet er gjennomført, vil robo-aktøren overvåke diagrammet for 7750 eller 7680 for å gå ut av den lange posisjonen. For å gjøre komplekse handelsstrategier bør du ha god kjennskap til teknisk analyse og programmeringsferdigheter, eller du kan abonnere fra en ekspert . 95 Traders mister sin kapital på grunn av følelsesmessig Trading Bruk Robo Trader for å unngå det. REAL ROBO TRADER. Den ultimative auto trading software. Real og papir trading mode. T rade med ubegrenset scrip. Control bryter for lang kun, kort kun eller lang kort bare. Part kvantitet profitt booking modus. Target 1 og Target 2 profitt booking options. Level basert handel for pivot, Gann eller Fibonacci tradere. Xsignal-YScrip Trading første gang i India. Trailing stopp loss. trailing stopp tap på mål 1 hit. Stop tap oppføring på Target 1.reverse på stop loss. Set aktiv daglig fortjeneste loss. scrip wised risk management. Trade varsling av lyd eller email. VPS Virtual Private Server anlegg på forespørsel. Multi-bruker robo på etterspørsel etter meglere sub-meglere. Passer for enhver Amibroker AFL. Excel basert strategi executer. MultyScript kurv trading New. Option strategi automatisering Første gang i India. Lastest månedlig abonnement lagre våre robo med andre og deretter decide. a enkel robot trading AFL. det er veldig enkelt robotic trding strategi. for å lage komplekse strategier vennligst kontakt eller ring til 9142227173.Plott C, Lukk, ParamColor Farge, colorDefault, styleNoTitle ParamStyle Style GetPriceStyle. PlotShapes IIf Kjøp, shapeUpArrow, shapeNone, colorBlue, 0, L, Offset -45.PlotShapes IIf Kort, formDownArrow, formNone, colorRed, 0, H, Offset -45.PlotShapes IIf Cover, shapeSmallCircle, shapeNone, colorBlue, 0, L, Offset -35.PlotShapes IIf Selg, shapeSmallCircle, shapeNone, colorRed, 0, H, Offset 35.copy og lim den ovennevnte koden til amibroker sammen med robotic plugin og test det. Hva er fordelen med robot trading. Det er å redusere dine følelser Følelser har en stor rolle i vår handelssuksess, spesielt i daghandel. Det er et perfekt alternativ for å kontrollere følelsene. Det s hindrer over handel De fleste av handlendene har dette problemet når markedet er svært volatilt, handelsmenn vil friste til over handel, og det kan ende med stort tap. Opprettholde disiplin Det er en annen fiende av handelsmannen sen oppføring, endring av stoppet tap , wa det vil si mer profitt etc. Improves handelshastighet Etter at kjøpesignalet vises, vil normalt innen 3 sekunder rekkefølge plasseres til terminalen. Men manuelt kan det ta 10 til 30 sekunder. Utmerket for alle likvide markeder Ja, det er egnet for aksjehandel, Futures Options trading, Commodity trading og valuta trading Basket trading Basket trading er en stor sannsynlighet handelsstrategi Spesielt i intradag Men det er veldig vanskelig å utføre manuelt Robo trading er et perfekt valg for kurvhandlere Konsistent resultat Det er en annen fordel, noe som er veldig vanskelig å oppnå i manuell handel. Hva er algoritmisk handel eller Algo trading. This er et nytt modell trading system som bruker svært avansert matematisk formel for å generere handelsbeslutninger i egenkapital og derivater markets. Usually algo trading eller robot trading brukt av institusjonelle handelsmenn grunn til tung volumhandel, men nå kan også små handlende også bruke robot trading programvare for å unngå følelsesmessig handel robot trading vil hjelpe handelsmenn til å følge handelsregler og disiplin. Hva er Robotic Trading programvare eller Automated Trading Software. It er et dataprogram som automatisk vil utføre handelen til meglerterminalen basert på den forhåndsdefinerte tradingstrategien. A fullt ut automatisert handelssystem uten menneskelig inngrep Handler på alle signaler og spor flere scrips samtidig Automatisk avslutning på mål og stopp tap Den ideelle måten å unngå følelsesmessig handel. Kall-09142227173, 09142227174 for gratis Demo. Yahoo messenger id realsenseindia. REAL ROBO TRADER er et grensesnitt mellom Amibroker og NOW NEST ODIN ANGEL DIET Trading plattform. Når en Kjøp, Selg eller Kort, Dekksignaler utløser i kartplattform, vil signalet sendes til Now Nest-terminalen umiddelbart. Etter SEBI-retningslinjene må brukeren overvåke og godkjenne bestillingen før du sender til utvekslingen. Steg Platform Amibroker med strategi. en kjøpsordre utløst i strategien. Steg 2 REAL ROBO TRADER. Steg 3 Nå Nest ODIN ANGEL DIET Terminal. Enkel å bruke grensesnitt med drag-n-drop-operasjoner. Null programmeringskunnskap er nødvendig for å bruke denne handelspluggen. Kan brukes til allerede live trading system uten å skrive redigering noen kode. Basic Robo handel programvare settings. Select Scrip Parameters. AT Hvordan passer XP på markedet. BT XP er den største uavhengige megleren i Brasil, vi er ikke vedlagt til alle banker I 2015 er vi rangert som tredje i forhold til volum i aksjer og opsjoner, og andre i antall kontrakter i futures på børsen. Vi har en meglerforhandler i USA, XP Securities, med to kontorer New York er fokusert på nord-sør-flyt - så utenlandske kunder trading LatAm - og Miami-kontoret er det motsatte - brasilianske investorer handler amerikanske og europeiske markeder. Vi handler aksjer, opsjoner og futures Vi har også kontorer for fast inntekt, sikkerhetsutlån, varer og vi Vi er også markedsførere Vi tilbyr alle tjenester de institusjonelle og detaljistkunder trenger. Vi har et elektronisk handelsbord med to hovedfokus. Tilkoblings - og OMS-integrasjoner, handelsplattformer, colocation og alle høyfrekvente forhandlere spesifikke krav Også algo trading strategier som er utviklet internt av XP Disse utførelsen algos blir tilbudt til våre kunder og brukt av våre handelsdisker. AT BVMF var aktivt innbydende HFT Hvordan har det fungert. BT De gjorde mange forbedringer på sin teknologi, i trading og post-trading miljø, sammen med nye retningslinjer for HFT-rabatter. Partnerskapet med CME brakte den nye matchende motoren PUMA, og nye markedsdata ble etablert. - Unified Market Data Feed Integrering av clearings er et viktig prosjekt på etterhandlingsaspektet. Nifty January futures dunge 5, la spillerne gjette om det er et resultat en algoritmisk handel. NYHET DELHI BSE har tweaked Base Minimum Capital BMC-normer for meglere, et trekk som vil sikre at innskuddene opprettholdes med bytte og ikke med Clearing Corporation. Base Minimum Capital BMC er innskudd opprettholdt av medlem av en børs som ingen eksponering for bransjer er tillatt. Det er ment for å møte uforutsetninger i et hvilket som helst segment av utvekslingen og samsvarer med risikoen som megleren kan bringe til systemet. Alle innskudd mot BMC vil bli pålagt å opprettholdes med utveksling, sier BSE i en sirkulær. I øyeblikket er BMC blokkert fra collaterals vedlikeholdt med BSE s clearing selskap, ICCL, Indian Clearing Corporation Limited ICCL. Exchange BSE, med ICCL, har igangsatt prosessen med å segregere og overta sikkerheten mot BMC fra collaterals opprettholdt med ICCL, lagt den til. I den innledende fasen vil den kontante ekvivalente komponenten av BMC-sikkerheten i størst mulig grad være adskilt fra sikkerhetsinnskuddene opprettholdt med ICCL og holdt separat med utvekslingen. En ny nedgang i BMC-sikkerhet som ble overført ved utvekslingen ville bli blokkert fra sikkerhetsinnskudd av handelsmedlem opprettholdt med ICCL. BSE sa at handelsmedlemmer ville bli intimert på collaterals som er blitt overtatt fra ICCL mot BMC. Brokers har blitt bedt om å sikre at ved tidspunktet for fornyelse av faste innskudd FDs og banker garanterer BGs gitt som sikkerhet til clearing selskapet, blir slike beløp i omfanget av underskuddet deponert hos Utveksling. Handelsmedlemmer, hvis mangel i BMC er blokkert fra sikkerhetsinnskuddene opprettholdt med ICCL, skal på tidspunktet for fornyelse av deres bankgarantier, faste innskudd med BGs FD'er med ICCL eller deponere tilleggsavtaler med ICCL, at FDs BGs i den grad slike mangel er trukket til fordel for BSE og deponert ved utvekslingen, sa BSE. Slike handelsmedlemmer kan også frivillig deponere FDs BGs med BSE mot BMC, og i den grad vil BMC ikke bli blokkert ved ICCL, lagt det til. Ifølge normer bør børsmedlemmer eller handelsmedlemmer opprettholde en minimumskapital på Rs 10 lakh i tilfelle handel med verdipapirer gjøres gjennom egne penger i stedet for kundens s uten å bruke Algo-handel. I 2013 har kapitalmarkedsregulator Sebi økt basen minstekapital BMC innskudd for aksjemeglere opp til Rs 50 lakh, fra maksimalt Rs 10 lakh tidligere, spesielt de som arbeider med algoritmisk trading algo, for å redusere risikoen i markedet. MUMBAI Var det en fettfingerfeil eller en algoritmisk handel Det var spørsmålet som meglere spurte seg etter at Nifty-futurene falt, og deretter dramatisk gjenopprettet i tidlige handler på tirsdag. På rundt 9 15.00 åpnet de Nifty-futures for handel i 8422, men falt til 8000 på rundt 9 55 og deretter raskt gjenopprettet mer enn 100 poeng. En krasj i Nifty futures i tidlige handler resulterte i margintrykk på de som handlet med et stoppfall. Nifty futures i januar skur 15 40 lakh kontrakter i åpen interesse tirsdag Det ser mest ut som en feilaktig feber til meg, en avledet analytiker med en utenlandsk megler fortalte Reuters. Den 5. oktober 2012 hadde Nifty-indeksen krasjet 920 poeng der en handelsmann med Mumbai-baserte meglerhus Emkay Global ble sagt å ha slått Januar futures dyp 5, la spillerne gjette om det er et resultat en algoritmisk handel. Å tette normer for algoritmisk handel, gjorde Securities and Exchange Board of India SEBI, tirsdag, gjort Det er obligatorisk for brukerne å få sine systemer revidert hvert halvår, og økte straffer på errant aksjemeglere. Algoritmisk handel eller algo i markedsperspektiv refererer til ordrer generert med en super rask hastighet ved bruk av avanserte matematiske modeller som involverer automatisert utførelse av trade. It er mest brukt av store institusjonelle investorer. Det har hevet bekymringer for at algo utsettes for små investorer og markedet selv, for mulige systemiske risici. SEBI utstedte retningslinjer for algohandler i mars 2012, etter at det var vitne til en økende bruksutvikling av avansert teknologi for handel i finansielle instrumenter. I et sirkulær utstedt på tirsdag sa SEBI at den hadde bestemt seg for å gjennomgå algo-retningslinjene etter representasjoner fra dets tekniske rådgivende komité, og de nye normer ville tre i kraft fra 27. mai. endrede retningslinjer, børsmeglere og handelsfolk som tilbyr algo-anlegg, vil måtte underkaste deres algoritmiske handelssystem for å revidere hvert halvår slik at t o sikre at kravene i henhold til Sebi og børsene overholdes Slike revisjoner må foretas av en systemrevisor med relevante sertifiseringer. Sibi har også gitt børsene mulighet til å pålegge passende straffer i tilfelle av aksjemegler eller handelsmedlems feil å ta tilfredsstillende korrigerende tiltak innen en tidsperiode som er spesifisert av burs. Regulatoren har også bedt kursene til periodisk å gjennomgå sine overvåkingsarrangementer for bedre å oppdage og undersøke markedsmanipulering og markedsforstyrrelser. Credit Suisse lanserer algoritmisk handel i India. 22 juni 2009, 10 25:00 IST. NEW DELHI Credit Suisse s Advanced Execution Services AES-enheten har lansert algoritmisk handel i indiske aksjer Med denne Credit Suisse-klientene kan nå ansette et omfattende utvalg av AES-algoritmiske handelsstrategier for indiske aksjer, å kunne handle mer effektivt og oppnå best execution. Since dannelsen av AES-gruppen i 2001 har banken pioner i ny teknologi og brakt den til så mange markeder som mulig. I Asia Pacific ble Credit Suisse AES den første utenlandske megleren til å lansere Direct Market Access DMA i Malaysia i januar 2008 og fulgte opp dette ved å bli den første utenlandske megleren til å tilby DMA i det indonesiske markedet i august i fjor. Credit Suisse AES var også blant de første utenlandske meglerne å tilby DMA i India i september 2008, sa selskapet. Sofistikerte likviditetssøkende algoritmer vil bidra til å levere bedre utførelse til kunder som handler indiske aksjer, sier Brook Teeter, leder av AES Sales for Asia Pacific. Investerere vil kunne automatisere sine handelsstrategier og tilpasse algoritmer for å tjene deres mål. Dette vil hjelpe dem å redusere signaleringsrisiko og markedsvirkning og tilgang til likviditet til den optimale prisen. Algoritmer er blitt stadig mer populært globalt ettersom investorene har søkt å handle mer effektivt og unngår skarpe spikes i volatilitet samtidig som markedspåvirkning reduseres, særlig gitt de mindre likvide markedsforholdene som er utbredt på mange markeder i løpet av de siste 18 månedene. En strategi for å minimere denne innvirkningen er SNIPER, en aggressiv og opportunistisk likviditetssøkende algoritme utviklet av Credit Suisse for å plukke av likviditet ettersom den blir tilgjengelig til en målpris. Bruk av SNIPER har mer enn doblet seg i løpet av det siste 18 måneder, noe som gjenspeiler mange investorer lyst til å oppnå rask gjennomføring whil e-markedene har vært volatile. AES-pakken med algoritmer inkluderer også tradisjonelle algoritmiske strategier som forsøker å dele handelsvolumer over tid og strategier som forsøker å handle på volumvektet gjennomsnittspris på en aksje. I tillegg tilbyr AES strategier som søker å minimere gjennomføringen mangel - eller forskjellen mellom prisen som en klient bestemmer seg for å handle og den faktiske utførelseskostnaden som INLINE og andre likviditetssøkende strategier som GUERRILLA. March 31, 2012 ET Bureau. MUMBAI Kapitalmarkedsregulatoren har satt sjekker og balanser i plass for høyfrekvent handel SEBI har utstedt detaljerte retningslinjer for at utveksling skal inneholde muligheter for potensiell systemisk risiko forårsaket av bruk av sofistikert automatisert programvare fra meglere til å handle på børser. Regulatoren sier at børsene skal sikre at alle algoritmiske bestillinger, programvaredrevet automatisert ordreutførelsesmotorer, blir dirigert gjennom meglerservere i India og har ap propriate risikostyringsmekanisme for å takle risikoen som kommer fra algoritmiske ordrer og trades. SEBI sa at minimumsreguleringskontrollene på rekkefølge bør inkludere en pris - og kvantitetsgrensekontroll. Prisen som er oppgitt av bestillingen, skal ikke bryte med prisbåndene som er definert av bytte for the security. For securities that do not have price bands, dummy filters shall be brought into effective use to serve as an early warning system to detect sudden surge in prices, SEBI said in a circular posted on its website on Friday. The quantity quoted in the order shall not violate the maximum permissible quantity per order as defined by the exchange for the security. Algorithmic trading or high-frequency trading strategies use mathematical models and powerful computers to order trades at lightning-fast speeds As opposed to manually punched trades, these trades are faster and so stand to benefit from quick change in prices. The regulator said in the interest of orderly trading and market integrity, exchanges should put in place a system to identify dysfunctional algorithm, which could lead to a runaway situation and take suitable measures, including advising the member, to shut down such algorithms and remove any outstanding orders in the system that have emanated from such dysfunctional algorithms SEBI also said in exigency, the stock exchange should be in a position to shut down the broker s terminal. At the outset, the regulatory guidelines deal with systemic risk management and do not seem to infringe on a broker s intellectual property, which is great, said Rajesh Baheti, MD, Crosseas Capital Services a proprietary trader. The regulator said stock brokers desirous of placing orders generated using algorithms should give an undertaking to stock exchanges that they have real-time monitoring systems to identify algorithms that may not behave as expected. Besides, stock brokers should maintain logs of all trading activities to facilitate audit trail The stock broker shall maintain logs of all trading activities to facilitate audit trail, SEBI said. October 27, 2007 AGENCIES. LONDON Recent market turbulence has tested banks technology and is putting a question mark over whether increasingly popular computer-generated algorithmic trading is suited to volatile conditions Algorithmic trading where computers make multiple trades in fractions of a second has soared to make up 30 of equity trad ing volume according to industry analysts AITE group It is also increasing popular in the 3 2 trillion a day in foreign exchange market. EBS, the biggest interbank venue for foreign exchange trading, says algorithmic trading has doubled from around 15 of its volumes at the start of 2006 to 30 now But traders say current volatility is showing the limitations of this form of trading, in equities and forex. Algorithmic trading works by taking historical moves to predict what will happen in the future, said Lee Ferridge, senior proprietary trader at Rabobank. When market moves bear little resemblance to what has happened in the past all types of model will struggle. This certainly appears to be the case for Morgan Stanley who reported a 480 million loss in the third quarter from the bank s in-house equities trading desk that employed computer generated models to drive returns Hedge funds using algo are also likely to have been hit The Hennessee Hedge Fund Index fell 0 96 in August compared with an 10 16 increase for the year as a whole Performance was particularly bad for portfolios employing algorithmic models said Mehraj Mattoo, global head of alternative investment strategies at Commerzbank Corporates and Markets. The losses were caused by sharp moves causing many of the models to trigger sell orders on the same securities at the same time, causing a vicious downward spiral In some cases high degrees of leverage caused further magnification of losses The most aggressive risk takers appear to have tried to avoid this kind of loss by pulling out of algorithmic trading when markets were at their most choppy on August 16 A lot of the high frequency guys like hedge funds and the proprietary trading platforms at banks switched off their engines until the worst of the volatility receded, said a source at a major trading platform When the crunch came, those with the most at stake pulled in their horns and reverted to more traditional means of may have been because the technology was simply not up to the job of dealing with the immense volume of tickets, say bank sources. Banks have had to deal with up to double the number of tickets per day they are used to and this is stretching their technological capabilities, said a head of electronic trading at a major global bank. The sheer volume is testing banks ability to process and settle the trades and to manage risk positions If they are approaching the end of a cycle in technology investment their trading engines will start to creak The big moves in currencies-with the New Zealand dollar losing almost 10 against the yen in the week to August 17, for example-helped push average daily trading volumes for August on Icap s EBS and fixed income platform BrokerTec to 945 billion, up more than 50 on the previous year. Volatile markets are also making the short term strategies that algorithmic programmes employ underperform, analysts reckon The current large daily moves in currencies are meaning that it is the longer term position takers that are those that are making money, said Geoff Kendrick, currency strategist at Westpac Those looking on an intra-day basis are having to step down for the moment. May 17, 2011 Shailesh Menon. MUMBAI An increasing number of broking firms in India are offering algorithmic trading to lure large institutional investors. Most big broking firms have updated their trading software to enable algorithmic trading that allows investors to obtain the best possible price without significantly affecting a stock s price and raising purchasing costs. About 18 of total trades on Indian stock exchanges are done through algorithmic commands This compares with about 60 of the overall trades in Hong Kong and Singapore markets that are done using algorithmic strategies, according to exchange sources. All leading funds use algorithms to increase their trade impact Faster order execution has become important as returns are now generated playing price volatility, said the head of investments of a fund house Algo trading involves use of advanced mathematical models to make transaction decisions in financial markets It helps high-volume investors to place larger orders without disturbing the stock price. Large blocks of shares are usually purchased by dividing the large share block into smaller lots and allowing complex algorithms to decide when the smaller blocks are to be purchased More than 150 broking firms in India have started using algorithms, according to a report from business consultancy firm Celent Of these, 10 15 have proprietary algos for strategy and trade execution exclusivity. Algo trading is becoming more popular among institutional investors adopting option trading strategies This, at some level, resulted in option volumes going up by about 81 last year We offer high-frequency trading to institutional clients selectively, said Rashesh Shah, chairman and chief executive officer, Edelweiss Capital that services about 600 institutional investors. Motilal Oswal, chairman, Motilal Oswal Financial Services said Algorithms bring efficiency to stock trading High-speed trading will be an important offering to institutional clients from the side of top brokers The level of algo trading in equity derivatives, especially index options, is much higher than it is for cash equity. The ease of dealing on a single exchange, namely National Stock Exchange, for equity derivatives, and the lower securities transaction tax on derivatives trading are some of the reasons for this development, the Celent report said Celent expects technology spending levels to go up to 55 million i n 2012 from 45 million in 2011. Algo trading volumes have gone up significantly on Indian bourses However, most of the volume is happening in top-50 stocks, where liquidity is high Option-based strategies are also gaining popularity, said Richard Bentley, industry vicepresident capital markets , Progress Software, a London-based IT company specialising in market technologies Mr Bentley expects algo trading volumes in India to touch 50 in the next five years. October 26, 2010 Apurv Gupta ET Bureau. MUMBAI Algorithmic trading in shares listed on Indian stock exchanges could account for 30 of the overall cash market volumes by 2012, compared with around 20 at present, according to US-based consulting firm Celent, citing liquid stock exchanges, sophisticated technology and connectivity as the enabling factors. Algorithmic trading also commonly known as programmed trading entails the use of a pre-written software code to execute transactions, without manual intervention They are of two types e xecution and situational Execution algorithms minimise the impact cost while executing large orders by spreading them through the day, with price and volume specifications Situational algorithms are more sophisticated and triggered when certain conditions are fulfilled For instance, a complex algorithm could generate a buy order depending on a combination of moves in stock price, index level and currency rate. India represents an excellent opportunity for algorithmic quantitative or systematic traders due to the confluence of several factors a supportive legal and regulatory framework, well-established and liquid stock exchanges, sophisticated technology and connectivity to the exchanges, presence of all major banks and broking firms, abundance of people with relevant knowledge and experience and limited competition in the space, says the Celent report titled, Electronic Trading in Asia-Pacific A Market by Market Update on the Dynamic Region. According to the Celent report algorithmic trading in five of Asia s leading markets Singapore Hong Kong, Japan, Australia and India has seen a sharp rise in the past couple of years. Celent expects that within three years, these markets will have caught up with the European market in terms of volumes of algorithmic trading and high frequency trading HFT For instance, in Singapore, the introduction of ADR trading was accompanied by tax exemptions to encou rage market makers to participate Similarly, there are rebates for options trading in Hong Kong In the case of India, the report says that adoption of new technology has been gradual compared with some of its peers in Asia, and this trend could continue. The tight spreads difference between bid and ask prices , low visible liquidity on the bid and offer and high trade rate require a lot of effort and skill to execute a good trade, Sensex 137 ptssays the report, adding that the imposition of securities transaction tax has reduced the prospects for arbitrageurs and high-frequency traders, and impacted algorithmic trading to some extent. November 29, 2011 PTI. MUMBAI Capital markets regulator Sebi today ruled out a ban on algorithmic trading products, even though it said is worried by the rapid adoption of these tools and called for appropriate risk management systems to be put in place by market players using them. Sebi is not looking at banning these products, Sebi Chairman U K Sinha told reporters on the sidelines of a CII meet on capital markets here, though he added, But we are worried. NEWS The market regulator is slated to conduct a review of its risk management system in the near future and a ban on algorithmic trading products was ap prehended by certain quarters following a technical glitch that resulted in the cancellation of all derivatives deals on the BSE during Muhurat trade on Diwali October 26.Sebi had said it would do a thorough review of the risk management system in algorithmic trading to prevent a repetition of such incidents In this regard, Sinha clarified that stakeholders views will be taken on board. We will consult all the stakeholders before taking a decision Though Sebi is yet to come up with a risk management system for these products, we want all the players to have their own risk management systems in place, Sinha said. Algorithmic trading systems, or high frequency trading systems, use highly advanced mathematical models to make transaction decisions. This highly quantitative trading model employs computerised algorithms to analyse incoming market data and implement proprietary trading strategies wherein large quantities of shares are purchased by dividing them into smaller lots and allowing the complex algorithms to decide when the smaller blocks are to be purchased. Use of these products has been gone up significantly in domestic markets in the last three years. Joining Sinha, BSE Managing Director and Chief Executive Madhu Kannan said when he joined the premier exchange two-and-a-half-years ago, Only 5 per cent trades on the BSE used to take place using algo products, but thi s has now gone up to 25 per cent. Addressing the Association of National Exchange Members of India last week, Sinha had warned that the market regulator would not allow anybody to mess with its system in the backdrop of some members being allegedly involved in manipulation. We have an effective risk management system, but we would not compromise That is why we are ready to review, he had added. May 21, 2013 PTI. MUMBAI Tightening the norms for algorithmic trading, market regulator Sebi today made it mandatory for the users to have their systems audited every six months and increased penalties on errant stock brokers. Algorithmic trading or algo in market parlance refers to orders generated at a super-fast speed by use of advanced mathematical models that involve automated execution of trade It is mostly used by large institutional investors and has raised concerns that algo exposes small investors, and the market itself, to possible systemic risks. Sebi first issued guidelines on algo trades in March 2012, after it witnessed a growing trend of usage of advanced technology for trading in financial instruments In a circular issued today, Sebi said it had decided to review the algo guidelines following representations made by its Technical Advisory Committee and the new norms will come into effect from May 27.As per the amended guidelines, stock brokers and traders offering algo facility would need to subject their algorithmic trading system to audit every six months so as to ensure compliance with the requirements prescribed by Sebi and the stock exchanges. Such audits would need to be undertaken by a system auditor with relevant certifications. Sebi has also allowed the stock exchanges to impose suitable penalties in case of failure of the stock broker or trading member to take satisfactory corrective action within a time-period specified by the bourses. In order to further strengthen surveillance mechanism related to algo trading and prevent market manipulation, stock exchanges are directed to take necessary steps to ensure effective monitoring and surveillance of orders and trades resulting from trading algorithms, Sebi said. The regulator has also asked the bourses to periodically review their surveillance arrangements to better detect and investigate market manipulation and market disruptions. In March last year, Sebi had asked the exchanges to implement a framework of economic disincentives for high daily order-to-trade ratio for orders placed from trading algorithms by prescribing penalties in form of charges to be levied per algo orders at various levels. The penalty rates specified by the stock exchanges have been reviewed and in order to provide sufficient deterrence, stock exchanges are directed to double the existing rates of charges to be levied per algo orders specified in their circulars notices, Sebi said The stock exchanges have also been asked to impose an additional penalty in form of suspension of proprietary trading right of the stock broker trading member for the first trading hour on the next trading day in case a stock broker trading member is penalised for maintaining high daily order-to-trade ratio , if such an entity has been penalised on more than 10 occasions in the previous thirty trading days. Sebi said this step would discourage repetitive instances of high daily order-to-trade ratio Sebi also said that the deficiencies or issues identified during the audit of trading algorithm or software of brokers would need to be reported to the stock exchanges immediately after the completion of such audits. Further, the stock broker and trading members would need to take immediate corrective actions to rectify such issues or deficiencies In case of serious deficiencies or issues or failure to take satisfactory corrective action, the broker or trading member would be barred from using the trading software till the time these issues are rectified and a satisfactory system audit report is submitted to the stock exchange. January 23, 2014 PTI. MUMBAI To address the challenges posed by algorithmic or high frequency trading, market regulator Sebi will organise a two-day conference starting January 27.Algorithmic trading or algo in market parlance refers to orders generated at a super-fast speed by use of advanced mathematical models that involve automated execution of trade, and it is mostly used by large institutional investors. The high frequency trading exposes the market to possible systemic risks. The rise of High frequency trading HFT , a type of algo trading, has raised concerns with regard to its impact on m arket quality, financial stability and regulatory framework. The Securities and Exchange Board of India Sebi is organising its first international research conference from January 27-28 here. The theme of the conference is HFT, Algo Trading and Co-location, according to a statement. During the two-day conference, participants will also discuss issues related to information asymmetry, retailinvestors HFT in developing countries and technology as an enabler to re-level the field. Academicians, market practitioners, regulators from countries such as the US, Spain, Australia, Canada and Japan, among others, would participate at the event. There is a divide in pool of thoughts over positive impact of HFT and associated risks Because of its relative novelty and the uncertainty related to many of the trading strategies being used today, the debate over high frequency trading is of contemporary relevance, Sebi said. As both old and new emerging markets continue to become highly digitised, algo trading strategies will constantly advance, it added. Sebi first issued guidelines on algo trading in March 2012, after it witnessed a growing trend of usage of advanced technology for trading in financial instruments Later in 2013, the regulator tightened the norms related to algo trading. April 11, 2014 Biswajit Baruah ET Bureau. MUMBAI The obscure world of high-frequency trading HFT has come under the spotlight of late after Michael Lewis s latest book Flash Boys A Wall Street Revolt. In India, too, the revelations in the book have caught the attention of critics, authorities and market players, but that is yet to spark a hue and cry as in the US This is because such trades account for just a third of the total trading volumes on Indian bourses against the 60-70 per cent in most developed markets in the US and under algorithmic trading a type of HFT which was launched in India in 2009, witnessed a spurt initi ally, but have remained stagnant of late as the regulator frowns on the influence of such trades on the market In algorithmic trading, a system executes pre-programmed orders based on timing, price, or quantity of the order In most cases, the orders are executed by the computer. As a result, the speed of execution has reduced from milliseconds to microseconds and is expected to move to nanoseconds The big players in the business in India are said to be foreign investment banks such as JP Morgan, Morgan Stanley, Credit Suisse, and Deutsche Bank. Algorithmic trading has not picked up in India as the awareness about this particulate trading platform is not much among market participants At this juncture, only select institutional clients and HNIs are using this platform, Sudip Bandyopadhyay, managing director and CEO at Destimoney Securities, said. The algorithmic trading programme is very successful when there is increased volatility in the markets, as our own brokerage algorithmic software is designed like that, he said Algorithmic trading has opened up faster access to Indian markets for financial institutions across the world However, better algorithms with mathematically proven strategies that consume liquidity and faster systems with very low latency are the need of the day. Critics said it can cause sudden market crashes and easily mask market manipulation or other illegal activity In HFT, the objective is to enter and exit frequently and take advantage of daily and intra-day changes. Typically, HFT does not lead to any delivery positions and all transactions are reversed in the same day In the past few months, foreign institutional investors FIIs have used the algorithmic trading platform for buying shares. Algorithmic trading gives the best price advantage in the market as the system has the speed advantage, said Raghu Kuma r, co-founder at RKSV, a Mumbai-based discount brokerage. September 21, 2014 PTI. NEW DELHI As a liberal tax regime kicks in for overseas investors from next fiscal, the FPIs Foreign Portfolio Investors are expected to expand their activities in Indian markets by using the high-frequency trading technology, experts say. High frequency trading, also known as Algorithmic Trading Algo Trading , refers to the automated execution of trades on the stock markets through pre-programmed software platforms installed on servers The same is becoming popular in India. While presently only a few Foreign Portfolio Investors FPIs have adopted algo-trading, many more a expected to take it up, leading consultancy PwC said. To improve ease of doing business and for better regulatory oversight, the Indian capital markets regulator Sebi created a new FPI category after pooling together different categories of overseas investors such as FIIs, their sub-accounts and Qualified Foreign Investors QFIs. According to P wC, there has been low FPI participation in algo trades so far, mainly because of the ambiguity related to characterisation of their income as business income or capital gains. If their income is treated as business income, FPIs could have been taxable at 40 per cent on a net income basis, PwC Executive Director Suresh Swamy said. Due to high volume of transactions usually carried on by algo-funds, there was a possibility of that their income would be characterised as business income, Swamy added. However, with government announcement in budget 2014-15 that the income arising from transactions conducted by FPIs would be classified as capital gains with effect from April 1, 2015, many more investors are likely to take to algo-trading. This means FPI s long term capital gains earned on transfer of securities on which securities transaction tax is paid will be exempt from tax, Swamy said. While short term capital gains are taxable at 15 per cent, he added. As per Sebi s latest data there are nearly 8,400 registered FPIs in the country The FPIs have poured in a total of USD 204 64 billion so far into the economy and are one of the largest drivers of Indian stock markets. According to the government, necessary amendments to the norms for treating FPI income as capital gains would be made with effect from April 1, 2015.Under the proposed amendments, any security held by FPI which would be treated as capital asset only so that any income arising from transfer of such security by FPI would be in the nature of capital gain There is no tax on long term capital gains while short term capital gains are taxable at the rate of 15 per cent. September 16, 2014 Nishanth Vasudevan ET Bureau. I If the lives of start-up founders are about sweat, blood and tears, no one told the trio at Mumbai-based discount broking firm RKSV. To be honest, we have had a considerably smooth ride, says Raghu Kumar, one of the three promoters, briefly describing in a matter-of-fact tone their two-year journey as entrepreneurs He means it. NEWS Rather, he prefers to let the numbers speak Within two years of starting operations and largely operating in a dull market, RKSV is now clocking daily turnover of Rs 4,000 crore. That s about 1 3 per cent of total turnover of NSE, in a business where even the leaders are at 5-6 per cent For the US-bred trio Raghu, brother Ravi and their friend Shrinivas Viswanath it was a move by the Indian capital market regulator to allow algorithmic trading that encouraged them to dip their toes in Indian waters. And when the Securities and Exchange Board of India allowed the direct market access DMA facility in April 2008, which gives investors direct access to a stock exchange s trading system, they decided to put in both their feet. Prior to 2009, their only connection with India was the occasional vis it to meet relatives DMA was the reason we came to India We saw a lot of opportunities and wanted to explore them, says Raghu, a University of Illinois graduate in actuarial science and finance. The concept of algorithmic, or high frequency, trading was not alien to them Before coming to India, the brothers were active in the US foreign exchange markets between 2006 and 2008.But, in October 2008, they had to wind up after the global financial markets imploded trading opportunities had dried up, liquidity had shrunk and spreads had widened enough By then, however, they made a killing of about 2 million, giving them the self-belief and the capital to explore other business ideas. In 2009, Raghu and Ravi, along with Viswanath, a computer engineer in New York, shifted base to India Although the Indian markets were alien to them, funding a venture was never a problem. Raghu and Ravi spent the first two years trading with their own money, which helped them gauge the pulse of the market here Mea nwhile, they secured a membership to the Bombay Stock Exchange, which had slashed its fees significantly to rope in more members. After making good money in the two years in proprietary trading, they saw stockbroking as a natural progression But to set up shop in India, at the time they did, was a contrarian call. Disappointed by the previous government s tardy attitude towards business and economic policies, business confidence in India had hit its nadir Foreign investors were wary and several nonresident Indians NRIs were returning to countries where they held passports The broking industry was bleeding too While competition in institutional broking business was fierce, retail investors had deserted the markets. But there was still a segment of market participants that was underserved traders, for whom high brokerage costs was making it difficult to make money We realised there were many traders who did not have cheaper options to trade, says Kumar What shocked us was the number of bran ches that retail brokerages had, which is not the case in the US. It did not take too much time for RKSV s business to pick up as its relatively-older rival Zerodha had taken the plunge by then Although there was little that RKSV could do to hold an edge in terms of technology, it managed to attract clients by launching the unlimited trading model , where traders can transact for as many times at a fixed cost. Currently, RKSV has about 20,000 clients They are serviced by about 50 employees from its office in Mumbai s emerging financial services hub, Bandra-Kurla Complex Raghu said the firm is looking to double its client base to about 40,000 in 2014-15 That s not bad for a two-year-old, first-generation firm. STARTED 2012 retail trading. FOUNDERS Raghu Kumar, Ravi Kumar, Shrinivas Viswanath. DAILY TRADING TURNOVER Rs 4,000 crore. REVENUES Not disclosed. April 11, 2014 Ashutosh R Shyam ET Bureau. The US securities market regulator, Securities ExchangeCommission SEC , allowed the first high-freq uency trade HFT in 1998 Now, such trades account for almost 60-70 per cent of equity volumes in the US. A new book by Michael Lewis, called Flash Boys, claims the US stock market is rigged in favour of HFTs, prompting regulators to take a closer look at the trades ET decodes high frequency trading, also known as algorithmic trading. What is high frequency trade. It is a trade based on computer programming, referred to as algorithm that executes orders in exchange-traded securities swiftly Unlike a trading order initiated by a trader, an algorithm is designed to process a colossal amount of data in a fraction of a second. The objective of high-frequency trade HFT is to boost profitability by executing bulk trades on any trading opportunity available at wafer-thin margin The success of an HFT trader depends on the speed of the transaction. The average transaction time for HFT now is micro-milli seconds A milli second is 1 1,000th of second and a micro second is 1 1,000,000 of a second. What is a high frequency trader s mode of operation. On the basis of historical data, a tested pattern is formed to execute numerous trading strategies The computer programmer writes an algorithm based on many such patterns. Depending on the risk-reward rules set in a computer programme, HFT traders move in and out of traded securities, in a time span ranging from a fraction of a second to a few hours. For instance, on analysing some historical data, a programmer may find that about 70-75 per cent of the time, whenever a particular stock breaks below the 10-day moving average on a weekly basis, it leads to a 5 per cent correction in the stock price. On the basis of this trend, whenever that particular stock breaks below the 10-day moving average on a weekly basis, the computer will automatically initiate a sell order in bulk quantity. In other words, an HFT trader exploits predictable temporary deviation from stable statistical relationship among stocks Rather than long-term investors, an HFT trad er usually competes with other HFT traders. What are the basic rules for an HFT trader. The odds of going wrong can be as high six out of 10 times, but profits earned on right trades are many times higher than the loss incurred on wrong trades As a result, Sharpe ratio, a measure of return adjusted for risk is significantly higher than the traditional buy sell strategy. What is the history of HFT trading. US market regulator Securities and Exchange Commission SEC allowed the first HFT trade in 1998 Now, almost 60-70 per cent of equity trading volumes in the US is an HFT. According to Bank of England, HFT trades in Europe reached 40 per cent of equity order volumes, and in Asia, it ranges between 5-10 per cent Getco, Knight Capital, Jump Trading, and Citadel are among the largest HFT trading firms in the US. Why are HFT traders under regulatory lens. Globally, market regulators believe HFT traders bring excessive volatility to the markets and pose serious risks to the financial system While an alysing the reasons for the flash crash that occurred in May 2010, the US SEC concluded in its report that the action of HFT traders contributed to volatility. HFT traders are levied charges for benefiting from the index re-balancing by mutual funds For instance, on account of market capitalisation adjustment, if a stock is moving in or out of the index, the algorithm provides for a projection of the expected stock price movement on the basis of an institutional order-book leading to really handsome returns. Italy was the first country to introduce a levy of 0 002 per cent on an equity transaction that lasts less than 0 05 seconds. What does an HFT trader bring to markets. An HFT trader acts as one of the most important market-makers and brings down the spread between the bid and ask prices. For instance, if the bid price of any security is Rs 100 and ask price Rs 101, the HFT trader will try to place an order at Rs 100 05 for bid and Rs 100 95 for an ask quote This action leads to the exec ution of the trade. High frequency trades form just one-third of total volumes in India. April 11, 2014 Biswajit Baruah ET Bureau. MUMBAI The obscure world of high-frequency trading HFT has come under the spotlight of late after Michael Lewis s latest book Flash Boys A Wall Street Revolt. In India, too, the revelations in the book have caught the attention of critics, authorities and market players, but that is yet to spark a hue and cry as in the US This is because such trades account for just a third of the total trading volumes on Indian bourses against the 60-70 per cent in most developed markets in the US and Europe. Volumes under algorithmic trading a type of HFT which was launched in India in 2009, witnessed a spurt initially, but have remained stagnant of late as the regulator frowns on the influence of such trades on the market In algorithmic trading, a system executes pre-programmed orders based on timing, price, or quantity of the order In most cases, the orders are executed by t he computer. As a result, the speed of execution has reduced from milliseconds to microseconds and is expected to move to nanoseconds The big players in the business in India are said to be foreign investment banks such as JP Morgan, Morgan Stanley, Credit Suisse, and Deutsche Bank. Algorithmic trading has not picked up in India as the awareness about this particulate trading platform is not much among market participants At this juncture, only select institutional clients and HNIs are using this platform, Sudip Bandyopadhyay, managing director and CEO at Destimoney Securities, said. The algorithmic trading programme is very successful when there is increased volatility in the markets, as our own brokerage algorithmic software is designed like that, he said Algorithmic trading has opened up faster access to Indian markets for financial institutions across the world However, better algorithms with mathematically proven strategies that consume liquidity and faster systems with very low latency are the need of the day. Critics said it can cause sudden market crashes and easily mask market manipulation or other illegal activity In HFT, the objective is to enter and exit frequently and take advantage of daily and intra-day changes. Typically, HFT does not lead to any delivery positions and all transactions are reversed in the same day In the past few months, foreign institutional investors FIIs have used the algorithmic trading platform for buying shares. Algorithmic trading gives the best price advantage in the market as the system has the speed advantage, said Raghu Kuma r, co-founder at RKSV, a Mumbai-based discount brokerage. March 12, 2014 Bloomberg. NEW YORK Growth in high-frequency and algorithmic trading may promote efficiency in the spot-trading foreign exchange market according to a research paper published by the Federal Reserve Bank of New York. Arbitrage opportunities, or market price differences, occurred in about 1 in every 20 seconds between the euro-dollar, dollar-yen and euro-yen currency pairs during the active part of the trading day during early 2000s, Ernst Schaumburg a research officer at the New York Fed wrote in a report published on Tuesday, citing EBS data. The discrepancy has declined since about 2004 and has been almost zero since 2008, he said. While other factors may be at play, these data are certainly consistent with a view that the rise in algorithmic and high-frequency trading enhanced market efficiency as measured by the availability and persistence of pricing arbitrage opportunities available in the FX spot market, Schaumb urg wrote High-frequency trading in foreign-exchange markets rose to 25 of the market in 2011 from nearly nonexistent about 14 years ago, according to the report, citing Bank for International Settlements data. The report cited an example using 2007 EBS price quotes, in which an investor could have used 1 billion euros to buy 1 316 billion, then converted the position to 154 2 billion yen, and then finally exchanged it again to Europe s common currency, yielding a profit of 120 65 euros per 1 million invested The so-called round-trip transaction, or triangular arbitrage, doesn t include transaction costs. While this profit may seem small, in efficient markets such arbitrage opportunities ought to be short-lived and few and far between, Schaumburg wrote Schaumburg couldn t immediately be reached by telephone for comment. January 23, 2014 PTI. MUMBAI To address the challenges posed by algorithmic or high frequency trading, market regulator Sebi will organise a two-day conference starting January 27.Algorithmic trading or algo in market parlance refers to orders generated at a super-fast speed by use of advanced mathematical models that involve automated execution of trade, and it is mostly used by large institutional investors. The high frequency trading exposes the market to possible systemic risks. The rise of High frequency trading HFT , a type of algo trading, has raised concerns with regard to its impact on market quality, financial stability and regulatory framework. The Securities and Exchange Board of India Sebi is organising its first international research conference from January 27- 28 here. The theme of the conference is HFT, Algo Trading and Co-location, according to a statement. During the two-day conference, participants will also discuss issues related to information asymmetry, retailinvestors HFT in developing countries and technology as an enabler to re-level the field. Academicians, market practitioners, regulators from countries such as the US, Spain, Australia, Canada and Japan, among others, would participate at the event. There is a divide in pool of thoughts over positive impact of HFT and associated risks Because of its relative novelty and the uncertainty related to many of the trading strategies being used today, the debate over high frequency trading is of contemporary relevance, Sebi said. As both old and new emerging markets continue to become highly digitised, algo trading strategies will constantly advance, it added. Sebi first issued guidelines on algo trading in March 2012, after it witnessed a growing trend of usage of advanced technology for trading in financial instruments Later in 2013, the regulator tightened the norms related to algo trading. January 19, 2014.I have seen The Wolf of Wall Street and don t think very highly of it, though the acting, particularly Leonardo DiCaprio s, was very good Firstly, it was way too long Secondly, the movie was highly exaggerated It is hard to believe that the things portrayed in the movie like drinking and doing drugs at work were common in the US even then It was more an exception rather than the rule In the past 15 years such stories have been hard to come by even the investment banks that we read about, after the Lehman Brothers collapse, were not on this need to keep in mind the movie is set in the 1990s when stock market s were not evolved It was still early days for markets, online trading was nascent and the rules of the game were not established. Fortunately or unfortunately, India was lagging behind developed markets We opened the economy in 1991 and online trading came to India only in 1994 Markets here have not seen the high point the US has, not even in 2007 India accounts for only 0 5-1 of the global fee income and broking commission pool, while the US accounts for 30-40 Average commissions in India in the early 1990s used to be 3-5 , and are today only one-hundredth of that at 0 03-0 05.Algorithmic trading now accounts for 90 of volumes here gone are the rings and the screaming I still remember the first time I visited the ring at the Bombay Stock Exchange in 1993 I had heard and read a lot about it and it was a surreal experience It was around 12 30 pm on a really hot day and everyone was sweating and shouting I could not understand what anyone was saying but people were animatedly buying and selling. The 1990s and early 2000s were marked by long periods of inactivity For a year after the Harshad Mehta scam, people in brokerages would come in at 10 am and leave at 10 15 am There was also a lot of free time once again after the dotcom bust While in the movie, people are really stressed out at work, here the stress was over not having much to do and the fear of losing one s job. In India, 80 of the funds flow is controlled by banks whereas in the US it is only 40-50 Brokers in India never had the kind of money that the movie shows brokers making Owners of brokerages here couldn t display their wealth the way DiCaprio does in the movie because there was no wealth here If the total volume on the markets was Rs 100 crore a day, it was a really big deal Whenever brokers made some money, they would typically invest in a house There was no cash flow I don t remember a single broker whose wealth could be compared to that of an industrialist. We have never had the excesses of Wall Stree t because the broking community is quite conservative by nature and also because of the rules put in place by the Reserve Bank of India and the Securities and Exchange Board of India Most of the community was either Gujarati or Marwari, who are fairly traditional even now I wouldn t say drinking was absent at parties, but it was relatively uncommon Most brokerages were also family-owned and therefore an extension of their home The most important day for brokerages used to be and still is, to an extent, Diwali, the day of Muhurat trading, where most of the owners family is present That is the culture. December 16, 2013 Ram Sahgal ET Bureau. MUMBAI Concerned by a sharp fall in commodity exchange volumes, regulator Forward Markets Commission FMC might announce stronger risk management measures and a few proposals aimed at attracting greater participation in a market hit by the fallout from a newly-introduced transaction tax and the Rs 5,500-crore NSEL crisis. Apart from finalising norms on S ettlement Guarantee Fund SGF , used by exchanges to contain risk of counter party default, the regulator could relax exposure limits for brokers and clients in farm and non-farm futures contracts and automated trading norms to deepen the market, said a commodity exchange official privy to discussions held a few weeks ago. The specific details of these proposals would be finalised early next month, said the official SGF norms will provide comfort to participants that exchanges have the wherewithal to combat risk At the same time, to boost trading in derivative contracts in agri contracts and especially those where commodity transaction tax CTT has been levied, position limits are proposed to be raised Also, algo guidelines stipulate an order to trade ratio of 20 that may be relaxed. For instance, said another exchange official, since CTT was levied on all gold contracts in July, many participants shifted from kilo gold contracts to mini 100 gm and smaller denomination contracts in the metal The plan is to increase position limits in such contracts, which would to some extent offset the effects of CTT In algorithmic trading, every 20 orders currently must result in one trade That ratio would most likely be increased by FMC. The need for SGF norms was felt in light of the NSEL scam, which surfaced in July en d Exchanges have to constitute SGF from 5 of gross revenues each year and base minimum capital paid by brokers to become members of an exchange While it is refundable to brokers, BMC is that portion of deposit on which brokers do not get any trading exposure. In a market hit by CTT and the NSEL crisis, these measures could add their mite to the fallen turnover, said Suresh Nair, executive director, Admisi Commodities. However, other brokers privy to discussions by the newly constituted risk management group - seized of the SGF and position limits proposals - said final norms on SGF will have to take into account the concern that BMC could be withdrawn in case a broker surrenders membership on an exchange On algo trades, they said that a lot of attention must be paid on how to stop the algo from placing orders relentlessly, especially in contracts where far months are not too liquid If, for instance, an algo relentlessly sells a near month liquid contract and buys a far month less liquid contract, it could create artificial scarcity in the far month and also price anomaly. In the fortnight ended November 30, trading volumes on six exchanges led by MCX dipped 65 from a year ago to 2 6 lakh crore Of this, bullion trade was 1 02 lakh crore, down 72 The markets have fallen drastically from July mainly because of CTT of Rs 10 per lakh on sell side of non-farm and processed commodities and a 5,500-crore payment default on Financial Technologies-owned NSEL, which has dented investor confidence FT is also the promoter of MCX, India s largest commex. May 21, 2013 PTI. MUMBAI Tightening the norms for algorithmic trading, market regulator Sebi today made it mandatory for the users to have their systems audited every six months and increased penalties on errant stock brokers. Algorithmic trading or algo in market parlance refers to orders generated at a super-fast speed by use of advanced mathematical models that involve automated execution of trade It is mostly used by large institutional investors and has raised concerns that algo exposes small investors, and the market itself, to possible systemic risks. Sebi first issued guidelines on algo trades in March 2012, after it witnessed a growing trend of usage of advanced technology for tradi ng in financial instruments In a circular issued today, Sebi said it had decided to review the algo guidelines following representations made by its Technical Advisory Committee and the new norms will come into effect from May 27.As per the amended guidelines, stock brokers and traders offering algo facility would need to subject their algorithmic trading system to audit every six months so as to ensure compliance with the requirements prescribed by Sebi and the stock exchanges. Such audits would need to be undertaken by a system auditor with relevant certifications. Sebi has also allowed the stock exchanges to impose suitable penalties in case of failure of the stock broker or trading member to take satisfactory corrective action within a time-period specified by the bourses. In order to further strengthen surveillance mechanism related to algo trading and prevent market manipulation, stock exchanges are directed to take necessary steps to ensure effective monitoring and surveillance of orders and trades resulting from trading algorithms, Sebi said. The regulator has also asked the bourses to periodically review their surveillance arrangements to better detect and investigate market manipulation and market disruptions. In March last year, Sebi had asked the exchanges to implement a framework of economic disincentives for high daily order-to-trade ratio for orders placed from trading algorithms by prescribing penalties in form of charges to be levied per algo orders at various levels. The penalty rates specified by the stock exchanges have been reviewed and in order to provide sufficient deterrence, stock exchanges are directed to double the existing rates of charges to be levied per algo orders specified in their circulars notices, Sebi said The stock exchanges have also been asked to impose an additional penalty in form of suspension of proprietary trading right of the stock broker trading member for the first trading hour on the next trading day in case a stock broker trading member is penalised for maintaining high daily order-to-trade ratio , if such an entity has been penalised on more than 10 occasions in the previous thirty trading days. Sebi said this step would discourage repetitive instances of high daily order-to-trade ratio Sebi also said that the deficiencies or issues identified during the audit of trading algorithm or software of brokers would need to be reported to the stock exchanges immediately after the completion of such audits. Further, the stock broker and trading members would need to take immediate corrective actions to rectify such issues or deficiencies In case of serious deficiencies or issues or failure to take satisfactory corrective action, the broker or trading member would be barred from using the trading software till the time these issues are rectified and a satisfactory system audit report is submitted to the stock exchange.