Sistema de Negociação A NSE opera no sistema de National Exchange for Automated Trading (NEAT), um sistema de negociação baseado em tela totalmente automatizado, que adota o princípio de um mercado orientado a pedidos. NSE conscientemente optou em favor de um sistema orientado por ordem em oposição a um sistema orientado por cotações. Isso ajudou a reduzir os spreads de trabalho não só na NSE, mas também em outras bolsas, reduzindo assim os custos de transação. Tipos de mercado O sistema NEAT possui quatro tipos de mercado. Eles são: Todos os pedidos que são de tamanho de lote regular ou múltiplos destes são comercializados no Mercado Normal. Para as ações que são negociadas no modo desmaterializado compulsório, o lote de mercado dessas ações é um. O mercado normal consiste em vários tipos de livros em que as ordens são segregadas como ordens de lotes regulares, ordens de prazo especial, ordens comerciais negociadas e ordens de parada, dependendo de seus atributos de ordem. Todas as encomendas cujo tamanho da ordem é inferior ao tamanho do lote regular são negociadas no mercado de lote estranho. Um pedido é chamado de ordem de lote estranho se o tamanho da ordem for menor que o tamanho do lote regular. Esses pedidos não têm nenhum atributo de termos especiais vinculados a eles. Em um mercado de lote estranho, tanto o preço como a quantidade de pedidos (compra e venda) devem corresponder exatamente para que o comércio ocorra. Atualmente, a facilidade do mercado de lote estranho é usada para o Mercado Físico Limitado de acordo com as diretrizes do SEBI. No mercado de leilões, os leilões são iniciados pela troca em nome dos membros de negociação por motivos relacionados com a liquidação. Existem 3 participantes neste mercado. Iniciador - a parte que iniciou o processo de leilão é chamada de concorrente iniciador - a parte que entra nas ordens do mesmo lado do iniciador Solicitor - a parte que entra nas ordens do lado oposto do iniciador Ordem Livros O sistema de negociação NSE fornece Flexibilidade completa para os membros nos tipos de pedidos que podem ser colocados por eles. As encomendas são numeradas pela primeira vez e marcadas com a hora no recibo e depois são processadas imediatamente para uma possível correspondência. Cada ordem tem um número de ordem distintivo e um carimbo de hora único. Se uma correspondência não for encontrada, as ordens serão armazenadas em diferentes livros. As ordens são armazenadas na prioridade do preço-tempo em vários livros na seguinte sequência: - Preço mais baixo - com preço, por prioridade de tempo. A prioridade de preço significa que se duas ordens forem inseridas no sistema, a ordem com o melhor preço obtém a maior prioridade. Prioridade de tempo significa que se duas ordens com o mesmo preço forem inseridas, a ordem que é inserida primeiro obtém a prioridade mais alta. O segmento de ações possui os seguintes tipos de livros: O livro de lote regular contém todos os pedidos de lotes regulares que não possuem nenhum dos seguintes atributos. - Tudo ou Nenhum (AON) - Livro mínimo de preenchimento mínimo (MF) - Stop Loss (SL) O livro Termos especiais contém todos os pedidos que tenham um dos seguintes termos anexados: - Tudo ou Nenhum (AON) - Preenchimento mínimo (MF ) Nota: Atualmente, as ordens de termo especial, ou seja, AON e MF não estão disponíveis no sistema de acordo com as diretrizes SEBI. As ordens Stop Loss são armazenadas neste livro até que o preço de disparo especificado na ordem seja atingido ou superado. Quando o preço de disparo é atingido ou superado, a ordem é lançada no livro do lote regular. A condição de stop loss é atendida nas seguintes circunstâncias: Ordem de venda - Uma ordem de venda no livro Stop Loss é desencadeada quando o último preço negociado no mercado normal atinge ou cai abaixo do preço de disparo da ordem. Comprar pedido - Um pedido de compra no livro Stop Loss é ativado quando o último preço negociado no mercado normal atinge ou excede o preço de disparo da ordem. O livro de lote estranho contém todos os pedidos de lote estranho (pedidos com quantidade inferior ao lote negociável) no sistema. O sistema tenta combinar uma ordem de lote estrito ativo com ordens passivas no livro. Atualmente, de acordo com uma diretriz SEBI, o mercado de lotes ímpares está sendo usado para pedidos que tenham uma quantidade menor ou igual a 500 viz. O Mercado Físico Limitado. Este livro contém ordens que são inseridas para todos os leilões. O processo de correspondência para pedidos de leilão neste livro é iniciado somente no final do período do advogado. Regras de correspondência de pedidos O melhor pedido de compra é combinado com a melhor ordem de venda. Um pedido pode coincidir parcialmente com outra ordem, resultando em vários negócios. Para a correspondência de pedidos, o melhor pedido de compra é aquele com o preço mais alto e a melhor ordem de venda é aquela com o menor preço. Isso ocorre porque o sistema vê todas as ordens de compra disponíveis do ponto de vista de um vendedor e todas as ordens de venda do ponto de vista dos compradores no mercado. Assim, de todas as ordens de compra disponíveis no mercado em qualquer ponto do tempo, um vendedor, obviamente, gostaria de vender com o preço de compra mais alto possível oferecido. Assim, o melhor pedido de compra é a ordem com o preço mais alto e a melhor ordem de venda é a ordem com o menor preço. Os membros podem inserir as ordens proativamente no sistema, o que será exibido no sistema até que a quantidade total seja igualada por uma ou mais contra-ordens e resulte em comércio (s) ou seja cancelada pelo membro. Alternativamente, os membros podem ser reativos e colocar pedidos que correspondem aos pedidos existentes no sistema. As ordens que não correspondem ao sistema são as ordens passivas e os pedidos que correspondem às ordens existentes são chamados de pedidos ativos. As encomendas são sempre compatíveis com o preço da encomenda passiva. Isso garante que as ordens anteriores tenham prioridade sobre os pedidos que vierem mais tarde. Condições de Pedido Um Membro Negociante pode entrar em vários tipos de pedidos, dependendo de seus requisitos. Essas condições são amplamente classificadas em três categorias: condições relacionadas ao tempo, condições relacionadas ao preço e condições relacionadas com a quantidade. DIA - Uma ordem do dia, como o nome sugere, é uma ordem válida para o dia em que foi inserida. Se a ordem não for correspondida durante o dia, a ordem será cancelada automaticamente no final do dia de negociação. GTC - Um pedido Good Till Canceled (GTC) é uma ordem que permanece no sistema até que seja cancelada pelo Membro Negociante. Por conseguinte, poderá abranger os dias de negociação se não for correspondente. O número máximo de dias em que uma ordem GTC pode permanecer no sistema é notificado pelo Exchange de tempos em tempos. GTD - Um bom prazo até DaysDate (GTD) permite que o Membro Negociante especifique o dia-dia até o qual a ordem deve permanecer no sistema. No final deste período, a ordem será descarregada do sistema. Cada dia contado é um dia de calendário e feriados inclusivos. O dia contado inclui o dia em que a ordem é colocada. O número máximo de dias em que uma ordem GTD pode permanecer no sistema é notificado pelo Exchange de tempos em tempos. COI - Uma ordem imediata ou cancelada (COI) permite que um membro comercial compre ou venda uma garantia assim que a ordem for lançada no mercado, na falta da qual o pedido será removido do mercado. É possível uma paragem parcial para a ordem, e a parte incomparável da ordem é cancelada imediatamente. Limite de PriceOrder Um pedido que permite que o preço seja especificado ao inserir o pedido no sistema. Market PriceOrder Um pedido para comprar ou vender títulos ao melhor preço que pode ser obtido no momento da inscrição no pedido. Stop Loss (SL) PriceOrder O que permite ao Membro Negociador fazer uma ordem que só é ativada quando o preço de mercado da segurança relevante atinge ou cruza um preço limiar. Até então, o pedido não entra no mercado. Uma ordem de venda no livro Stop Loss é desencadeada quando o último preço negociado no mercado normal atinge ou cai abaixo do preço de disparo da ordem. Uma ordem de compra no livro Stop Loss é desencadeada quando o último preço negociado no mercado normal atinge ou excede o preço de disparo da ordem. Por exemplo. Se, para a ordem de compra da parada, o gatilho é de 93,00, o preço limite é de 95,00 e o preço do mercado (última negociação) é de 90,00, então este pedido é lançado no sistema quando o preço de mercado atinge ou excede 93,00. Esta ordem é adicionada ao livro de lote regular com o tempo de disparo como o carimbo de data / hora, como uma ordem limite de 95.00 Quantidade Divulgada (DQ) - Um pedido com uma condição DQ permite ao Membro Negociante divulgar apenas uma parte da quantidade de pedido para o mercado. Por exemplo, uma ordem de 1000 com uma condição de quantidade divulgada de 200 significará que 200 é exibido no mercado por vez. Depois disso, é comercializado, outros 200 são lançados automaticamente e, assim, até que a ordem completa seja executada. A troca pode definir periodicamente um critério mínimo de quantidade divulgada. As ordens MF - Minimum Fill (MF) permitem que o Membro Negociador especifique a quantidade mínima pelo qual um pedido deve ser preenchido. Por exemplo, uma ordem de 1000 unidades com preenchimento mínimo 200 exigirá que cada comércio seja de pelo menos 200 unidades. Em outras palavras, haverá no máximo 5 negócios de 200 cada um ou um único comércio de 1000. O Exchange pode estabelecer normas de MF de tempos em tempos. AON - Todas ou Nenhuma ordens permitem que um Membro Negociante imponha a condição de que somente a ordem completa deve corresponder. Isso pode ser por meio de vários negócios. Se a ordem completa não for correspondida, permanecerá nos livros até coincidir ou cancelar. Nota: Atualmente, as encomendas AON e MF não estão disponíveis no sistema de acordo com as diretrizes SEBI. Solucionada com o Sistema Automatizado de Negociação Índia Solução a ser usada para clientes do software Spider IRIS A Symphony Fintech, fornecedora de Sistemas Automatizados de Negociação, anunciou a colaboração com a Spider Programas. O Symphony amp Spider desenvolverá conjuntamente uma interface Spider8217s IRIS com Symphony8217s Presto OMS. Essa oferta combinada permitirá que o Power Traders desenvolva, teste e implemente seus algos baseados em indicadores técnicos de forma perfeita. Aborda um problema comum que o Power Traders enfrenta Esta oferta combinada aborda um problema comum que os comerciantes de energia enfrentam na Índia para automatizar seus algos. Spider8217s IRIS pode ser usado para desenvolver 8216 estratégias de negociação 8216 com base na análise do AnalysisEvent técnico. Usando o Presto, pode-se testar as estratégias após serem desenvolvidas e negociar as estratégias e, em seguida, implementar as estratégias 8216live8217 em corretores participantes. Serviço de valor agregado para muitos clientes A solução turnkey 8217Symphony Fintech8217s permite que a Spider ofereça serviços de valor agregado aos seus clientes, 8221 disse Ravi Lokhande, diretor do software Spider. A plataforma 8220Symphonys algo será integrada no nosso front-end 8211, uma plataforma única para trocas múltiplas: BSE amp NSE (Cash amp FampO), MCX. Spider Software Pvt Ltd é um pioneiro no desenvolvimento de software de análise técnica em tempo real e final de dia para comerciantes do mercado de ações na Índia. Desde a sua criação no ano 2000, a Spider Software Pvt Ltd desenvolveu continuamente um software exclusivo e extremamente eficaz e superior, utilizado por mais de 5000 usuários em toda a Índia. A Symphony Fintech Solutions Pvt Ltd, fornecedora de Sistemas Automatizados de Negociação, anunciou hoje a colaboração com a PhillipCapital India. A Symphony irá desenvolver uma interface com a OMS da PhillipCapitals. Essa oferta combinada permitirá que PhillipCapitals Active Traders desenvolva, teste e implemente seus algos de forma transparente. Aborda um problema comum que os comerciantes ativos enfrentam: esta oferta combinada aborda um problema comum que os comerciantes ativos enfrentam na Índia para automatizar seus algos. A plataforma Symphony8217s Presto pode ser usada para desenvolver 8216 Estratégias de negociação8217 com base em indicadores técnicos fundamentais com dados atuais (Intra-day) ou históricos. Pode-se testar de volta as estratégias depois de serem desenvolvidas e negociar as estratégias e depois, implementar as estratégias 8216live8217 no PhillipCapital. Serviço de valor agregado para muitos clientes 8220Symphony Fintech8217s solução chave na mão permite que a PhillipCapital India ofereça serviços de valor agregado aos seus clientes, 8221 disse que o Sr. Kalpesh Vora, VP Retail, PhillipCapital (Índia) Pvt Ltd. 8220Symphonys algo plataforma será integrada nas nossas costas - edite 8211 uma plataforma única para trocas múltiplas: BSE amp NSE (ampèrefamp amp FampO), MCX-SX. Com mais de 3500 funcionários em todo o mundo, a PhillipCapital gerencia os ativos mundiais sob total de gerenciamento para mais de US $ 22 bilhões com os acionistas 8217 fundos acima de US $ 1 bilhão. PhillipCapital opera nos centros financeiros de 16 países em todo o mundo. Para mais informações: Symphony Fintech Shantanu U, 91-8898699175, shantanu. uniyalsymphonyfintech symphonyfintech PhillipCapital Índia Sr. Kalpesh Vora. 91 9920913399, kvoraphillipcapital. in phillipcapital. in PhillipCapital Group Kwang Sook Fong, 65 6531 1567, marcommphillip. sg phillip. sg Prop Desks da Índia à procura de estratégias Algo rentáveis podem selecionar qualquer um deles ao assinar o contrato com a Symphony. Todas essas estratégias são aprovadas por trocas e são desenvolvidas com a ajuda de alguns dos Gurus mais populares da Índia: 8211 Presto-SmartTrading: uma estratégia lucrativa de mercado 8211 Presto-SmartJobbing: lógica de trabalho totalmente automatizada 8211 Presto-AB-Crossover : Uma estratégia baseada em AmiBroker, muito lucrativa, com lógica de execução personalizada 8211 Presto-Xover: selecione os seus osciladores e personalize o entryexit, o Bracket Orders, Slicing, Trailing SL, etc. 8211 Presto - Opportunity Target Completion Strategy Post navigationMT4 O plugin Robo é iniciado. Ligue para 9142227173 para obter detalhes. O segredo por trás de uma negociação bem-sucedida é uma boa relação de recompensa de risco. Se você ignorar isso, certamente você perderá. Não se importa, qual ótimo gráfico ou estratégia comercial que você está usando. A maioria dos provedores de gráficos e provedores de dicas estão ignorando RRR. Resultado. sim. você sabe. Emoção é o maior inimigo da negociação. Use o software Auto Trading. E veja a diferença. O que é Robotic Trading System O sistema de negociação robótico também referido como trading, negociação automática, negociação algorítmica ou executor de comércio automático, permite que os comerciantes entrem e saem do comércio sem intervenção humana com base em condições simples ou complexas. A maioria dos sistemas Robotic Trading exigiu um software de gráficos com dados em tempo real, o plugin de executor comercial e o terminal de comércio de corretores. Tudo o que você precisa fazer é ativar uma estratégia em seu software de gráficos e executar o plugin de comércio robótico. Ele será executado até você desativá-lo. Você pode monitorar seu desempenho a qualquer momento e fazer mudanças em tempo real conforme necessário. A primeira coisa na negociação robótica é criar uma estratégia comercial. A estratégia pode ser o cruzamento médio médio, a ruptura do nível do pivô, as estratégias de abertura do intervalo (ORB) ou osciladores. Por exemplo: se a sua estratégia for 20-5 em média móvel. Sempre que a média móvel de 5 períodos mude a média móvel de 20 em direção ascendente, ocorrerá uma condição de compra e o software de negociação robótica colocará uma ordem de compra no seu terminal de negociação. Com base na sua estratégia de saída, ele irá obter lucros ou sair quando parar de bater hits. Por exemplo, se o seu preço de compra for 7700. target é 7750 e stop loss é 7680. Depois de executar o vendedor, o robo trader monitorará o gráfico para 7750 ou 7680 para sair da posição longa. Para fazer uma estratégia de negociação complexa, você deve ter um bom conhecimento de habilidades técnicas de análise e programação ou pode se inscrever de um especialista. 95 Os comerciantes estão perdendo seu capital devido à comercialização emocional. Use Robo Trader para evitar isso. REAL ROBO TRADER O software Ultimate auto trading. Modo de negociação real e de papel T rade com Controle de Controle de Controle ilimitado por tempo longo, apenas curto ou longo apenas no modo de reserva de lucro de quantidade de peça. Target 1 e Target 2 opções de reserva de lucro. Negociação baseada em nível para comerciantes pivô, Gann ou Fibonacci. Xsignal-YScrip Trading Primeira vez na Índia Trailing stop loss perda de stop stop no alvo 1 hit Stop lossentry (no Target 1) reverso na perda de parada Defina o gerenciamento diário ativo do gerenciamento de lucros com o lucro. Notificação comercial por som ou e-mail. Instalação VPS (Virtual Private Server) sob demanda. Robo on-demand de múltiplos usuários (para corretores intermediários de amplificadores) Adequado para qualquer Amibroker AFL Executador de estratégia baseado em Excel Comércio de cesta MultyScript Nova Opção de automação de estratégia Primeira vez na Índia Inscrição mensal mais baixa. Compare nosso robo com outros e depois decida. Uma simples negociação robótica da AFL é uma estratégia de trinco robotizada muito simples para criar estratégias complexas, entre em contato com realsenseindia ou ligue para 9142227173. Plot (C, Close, ParamColor (Color, colorDefault), styleNoTitle ParamStyle (Estilo) GetPriceStyle ()) PlotShapes (IIf (Comprar Formulário, forma, shapeNone), ColorBlue, 0, L, Offset-45) PlotShapes (IIf (Short, shapeDownArrow, shapeNone), colorRed, 0, H, Offset-45) PlotShapes (IIf (Capa, shapeSmallCircle, shapeNone), ColorBlue, 0, L, Offset-35) PlotShapes (IIf (Sell, shapeSmallCircle, shapeNone), colorRed, 0, H, Offset35) copie e cole o código acima para Amibroker juntamente com o plugin robótico e teste-o. Qual é a vantagem do comércio robótico. Isso reduz suas emoções. As emoções têm um rolo importante em nosso sucesso comercial, especialmente no dia comercial. É uma alternativa perfeita para controlar as emoções. Está impedindo o comércio excessivo. A maioria dos comerciantes tem esse problema. Quando o mercado é altamente volátil, os comerciantes irão seduzir para o comércio e pode acabar com uma enorme perda. Mantendo a disciplina. É um outro inimigo do comerciante. Entrada tardia, mudança de stop loss, espera por mais lucro, etc. Melhoria a velocidade de negociação. Depois de aparecer o sinal de compra, normalmente dentro de 3 segundos, a ordem será colocada no seu terminal. Mas, manualmente, pode demorar de 10 a 30 segundos. Adequado para qualquer mercado líquido. Sim, é adequado para negociação de ações, negociação de Opções de Futuros, negociação de commodities e negociação de moeda. Comércio de cesta. O comércio de caixas é uma estratégia de negociação de alta probabilidade. Especialmente em intraday. Mas é muito difícil de executar manualmente. Robo trading é uma escolha perfeita para comerciantes de basquete. Resultado consistente. É uma outra vantagem, que é muito difícil de conseguir na negociação manual. O que é negociação algorítmica ou negociação Algo Este é um novo sistema de negociação modelo que utiliza fórmulas matemáticas altamente avançadas para gerar as decisões de negociação em mercados de ações e derivativos. Geralmente, negociação ou negociação robótica usada por comerciantes institucionais devido à forte negociação em volume. Mas agora, mesmo os pequenos comerciantes também podem usar o software de negociação robótica para evitar o comércio emocional. O comércio robótico ajudará os comerciantes a seguir as regras comerciais e a disciplina. O que é o software de Robotic Trading ou Software de Negociação Automatizado. É um programa de computador, que executará automaticamente o comércio no seu terminal de corretores com base na estratégia de negociação pré-estabelecida. Um Sistema de Negociação totalmente automatizado sem intervenção humana. Negocie todo o sinal e rastreie scripts múltiplos ao mesmo tempo. Saída automática em Target e Stop Loss. A maneira ideal para evitar o comércio emocional. Call-09142227173, 09142227174 para demonstração gratuita. ID do Yahoo messenger. Realsenseindia REAL ROBO TRADER é uma interface entre a plataforma Amibroker e NOWNESTODINANGEL DIET Trading. Sempre que um Buy, Sell ou Short, os sinais de Capa se disparam na plataforma de gráficos, o sinal enviará ao terminal NowNest instantaneamente. De acordo com as diretrizes do SEBI, o usuário terá que monitorar e aprovar o pedido antes de enviar para a troca. Etapa 1. Plataforma de compartilhamento (Amibroker com estratégia) (uma ordem de compra desencadeada na estratégia) Etapa 2. REAL ROBO TRADER Passo 3. AgoraNETODINANGEL DIET Terminal Interface simples de usar com operações de arrastar e soltar. O conhecimento de programação zero é necessário para usar este Plugin de negociação. Pode ser aplicado ao sistema de negociação já comercial sem escrever a edição de nenhum código. As configurações básicas do software comercial Robo. Selecione os Parâmetros de Scripts. AT: Como o XP se encaixa no mercado BT: XP é o maior corretor independente do Brasil, não estamos vinculados a nenhum banco. Em 2015, estamos em terceiro lugar em termos de volume de ações e opções, e segundo em termos de número de contratos em futuros na bolsa de valores. Temos um corretor nos EUA, XP Securities, com dois escritórios: Nova York está focada no fluxo norte-sul - de modo que os clientes estrangeiros que negociam LatAm - e o escritório de Miami são o oposto - investidores brasileiros que comercializam os mercados dos EUA e da Europa. Nós negociamos ações, opções e futuros. Nós também temos mesas para renda fixa, empréstimos de segurança, commodities e também somos fabricantes de mercado. Oferecemos todos os serviços que os clientes institucionais e de varejo precisam. Temos uma mesa de troca eletrônica com foco principal. Integrações de conectividade e OMS, plataformas de negociação, colocação e todas as demandas específicas de comerciantes de alta freqüência. Também estratégias de negociação que são desenvolvidas internamente pelo XP. Estes algos de execução são oferecidos aos nossos clientes e usados pelas nossas mesas de negociação. AT: BVMF estava ativamente receptivo ao HFT. Como isso funcionou com a BT: eles fizeram muitas melhorias em sua tecnologia, no ambiente comercial e pós-comercial, juntamente com novas políticas para descontos HFT. Sua parceria com a CME trouxe o novo motor de correspondência PUMA e novos dados de mercado foram estabelecidos - o Unified Market Data Feed. A integração de clearings é um projeto importante no aspecto pós-negociação. Os futuros de janeiro de Nifty mergulham 5, deixa os jogadores adivinhar se é um resultado um comércio algorítmico NEW DELHI: A BSE ajustou as normas de Capital Mínimo Base (BMC) para corretores, um movimento que assegurará que os depósitos sejam mantidos com a troca e não com A corporação de compensação. O Capital Mínimo Base (BMC) é o depósito mantido pelo membro de uma bolsa de valores contra a qual nenhuma exposição para negociações é permitida. É destinado a enfrentar contingências em qualquer segmento da troca e proporcional aos riscos que o corretor pode trazer para o sistema. . Todos os depósitos em relação à BMC serão obrigados a ser mantidos com troca, a BSE disse em uma circular. Atualmente, o BMC está bloqueado das colaterais mantidas com a corporação de compensação de BSE, ICCL, (Indian Clearing Corporation Limited (ICCL). A Bolsa (BSE), com ICCL, iniciou o processo de segregação e assumir a garantia para a BMC a partir da As garantias mantidas com a ICCL, acrescentou. Na fase inicial, o componente equivalente em dinheiro das garantias da BMC, na medida do possível, será segregado dos depósitos colaterais mantidos com o ICCL e mantidos separadamente com a troca. Qualquer déficit na garantia do BMC assumido Pela troca seria bloqueada dos depósitos colaterais do membro comercial mantido com a ICCL. A BSE disse que os membros comerciais seriam informados sobre os colaterais que foram transferidos da ICCL para a BMC. Os corretores foram convidados a garantir que, no momento das renovações De depósitos fixos (FDs) e garantias bancárias (BGs) dados como garantia para a corporação de compensação, tais montantes (na medida do déficit) são depositados w Com a troca. Os Membros Negociadores, cujo déficit no BMC está bloqueado dos depósitos colaterais mantidos com o ICCL, devem garantir, no momento da renovação de suas garantias bancárias, depósitos fixos com FGs BGs com ICCL ou depósito de colaterais adicionais com a ICCL, que os BGs do FDs na medida desses O déficit é desenhado em favor da BSE e depositado na troca, disse a BSE. Esses membros negociadores também podem depositar voluntariamente FDs BGs com BSE em direção a BMC e, nesse sentido, o BMC não será bloqueado no ICCL, acrescentou. De acordo com as normas, os corretores de bolsa ou os membros comerciais devem manter um capital mínimo de Rs 10 lakh em caso de negociação de títulos são feitos através de seu próprio dinheiro em vez de clientes sem usar o comércio da Algo. Em 2013, o regulador do mercado de capitais, Sebi, aumentou o depósito de capital mínimo básico (BMC) para corretores de ações até Rs 50 lakh, de um máximo de Rs 10 lakh mais cedo, especialmente os que lidam com negociação algorítmica (algo), a fim de Mitigar riscos no mercado. MUMBAI: Foi um erro de dedo gordo ou um comércio algorítmico. Essa foi a pergunta que os corretores estavam se perguntando depois que os futuros Nifty caíram e depois se recuperaram dramaticamente nos negócios iniciais na terça-feira. Por volta das 9h15, os futuros Nifty abriram-se para negociação em 8422, mas caiu para 8000 às 9:55 e depois recuperaram rapidamente mais de 100 pontos. Um acidente nos futuros Nifty nos negócios iniciais resultou em uma pressão de margem sobre aqueles que estavam negociando com uma parada de perda. Futuros astutos de janeiro derramaram 15,40 contratos lakh em aberto interesse na terça-feira. Parece principalmente como um dedo gordo errôneo para mim, disse à Reuters um analista de derivativos com um corretor estrangeiro. Em 5 de outubro de 2012, o índice Nifty caiu 920 pontos, onde um comerciante com a corretora baseada em Bombaim, Emkay Global, teria marcado o comércio. Os futuros futuros de janeiro terminam 5, deixa os jogadores adivinhar se é um resultado um comércio algorítmico. Apertando as normas para o comércio algorítmico, a Securities and Exchange Board of India (SEBI), na terça-feira, tornou obrigatório que os usuários tenham seus sistemas auditados a cada seis meses e aumentassem as penalidades em corretores de ações errantes. O comércio algorítmico ou o linguagem do mercado refere-se a ordens geradas a uma velocidade super rápida por meio de modelos matemáticos avançados que envolvem a execução automatizada do comércio. É principalmente usado por grandes investidores institucionais. Ele suscitou preocupações de que algo expõe pequenos investidores, e o próprio mercado, a possíveis riscos sistêmicos. O SEBI primeiro emitiu diretrizes sobre o algo trades em março de 2012, depois de ter assistido a uma tendência crescente de uso de tecnologia avançada para negociação de instrumentos financeiros. Em uma circular emitida na terça-feira, a SEBI disse que decidiu revisar as diretrizes de algo seguindo as representações feitas pelo seu Comitê Consultivo Técnico e as novas normas entrarão em vigor a partir de 27 de maio. De acordo com as diretrizes alteradas, intermediários e comerciantes que oferecem algo A instalação precisaria sujeitar seu sistema de negociação algorítmica a auditoria a cada seis meses, de modo a garantir o cumprimento dos requisitos prescritos pela Sebi e as bolsas de valores. Essas auditorias deveriam ser realizadas por um auditor do sistema com certificações relevantes. A Sebi também permitiu que as bolsas de valores impusessem penalidades adequadas em caso de falha no corretor de bolsa ou membro comercial para tomar medidas corretivas satisfatórias dentro de um período de tempo especificado pelas bourses. O regulador também pediu às bolsas para revisar periodicamente seus arranjos de vigilância para melhor detectar e investigar a manipulação do mercado e as interrupções do mercado. Credit Suisse lança negociação algorítmica na Índia ECONOMICTIMES 22 de junho de 2009, 10.25pm IST NEW DELHI: A Unidade de Serviços de Execução Avançada (AES) do Crédito Suisses lançou negociação algorítmica em ações indianas. Com este clientes do Credit Suisse, agora pode empregar uma ampla gama de estratégias de negociação algorítmica AES para ações indianas, podendo negociar de forma mais eficiente e alcançar a melhor execução. Desde a formação do grupo AES em 2001, o banco foi pioneiro em novas tecnologias e a levou a tantos mercados quanto possível. Na Ásia-Pacífico, o Credit Suisse AES tornou-se o primeiro corretor estrangeiro a lançar o acesso direto ao mercado (DMA) na Malásia em janeiro de 2008 e seguiu isso, tornando-se o primeiro corretor estrangeiro a oferecer DMA no mercado indonésio em agosto passado. O Credit Suisse AES também foi um dos primeiros corretores estrangeiros a oferecer DMA na Índia em setembro de 2008, informou a empresa. Algoritmos sofisticados de busca de liquidez ajudarão a entregar uma melhor execução aos clientes que negociam ações indianas, disse Brook Teeter, chefe da AES Sales for Asia Pacific. Os investidores serão capazes de automatizar suas estratégias comerciais e personalizar os algoritmos para atender seus objetivos. Isso irá ajudá-los a reduzir o risco de sinalização e o impacto no mercado e acessar liquidez ao preço ideal. Os algoritmos tornaram-se cada vez mais populares a nível mundial, uma vez que os investidores procuraram trocar de forma mais eficiente e evitar picos bruscos de volatilidade, minimizando o impacto no mercado, particularmente devido às condições de mercado menos líquidas prevalecentes em muitos mercados nos últimos 18 meses. Uma estratégia destinada a minimizar esse impacto é o SNIPER, um algoritmo de busca de liquidez agressivo e oportunista desenvolvido pelo Credit Suisse para retirar liquidez à medida que se torna disponível a um preço-alvo. O uso do SNIPER mais do que duplicou nos últimos 18 meses, refletindo que muitos investidores desejam conseguir uma execução rápida, enquanto os mercados têm sido voláteis. O conjunto de algoritmos AES também inclui estratégias algorítmicas tradicionais que procuram dividir o volume de negócios ao longo do tempo e as estratégias que buscam trocar no preço médio ponderado por volume de uma ação. Além disso, a AES oferece estratégias que buscam minimizar a falta de implementação - ou a diferença entre o preço a que um cliente decide negociar e o custo de execução real, como o INLINE e outras estratégias de busca de liquidez, como GUERRILLA. 31 de março de 2012 ET Bureau MUMBAI: O regulador do mercado de capitais colocou verificações e contrapesos para negociação de alta freqüência. O SEBI emitiu diretrizes detalhadas pedindo permutas para conter possibilidades de risco sistêmico potencial causado pelo uso de sofisticados softwares automatizados por corretores para negociar em bolsas de valores. O regulador disse que as trocas devem garantir que todas as ordens algorítmicas, motores automáticos de execução de ordens impulsionados por software, sejam encaminhadas através de servidores intermediários localizados na Índia e possuam um mecanismo de controle de risco apropriado para enfrentar o risco que emana de ordens e tradições algorítmicas. O SEBI disse que os controles mínimos de nível de nível de ordem devem incluir um cheque de limite de preço e quantidade. O preço cobrado pelo pedido não violará as faixas de preços definidas pela troca pela garantia. Para os títulos que não possuem bandas de preços, os filtros fofos devem ser utilizados efetivamente para servir de sistema de alerta precoce para detectar aumento súbito dos preços, informou a SEBI em uma circular publicada em seu site na sexta-feira. A quantidade citada na ordem não deve violar a quantidade máxima permitida por ordem conforme definido pela troca pela segurança. O comércio algorítmico ou as estratégias de negociação de alta freqüência usam modelos matemáticos e computadores poderosos para ordenar negócios a velocidades rápidas. Em oposição às negociações manualmente perfuradas, esses negócios são mais rápidos e, portanto, podem beneficiar de mudanças rápidas nos preços. O regulador disse que, no interesse do comércio ordenado e da integridade do mercado, os intercâmbios deveriam implementar um sistema para identificar o algoritmo disfuncional, o que poderia levar a uma situação desenfreada e tomar medidas adequadas, incluindo o aconselhamento do membro, desligar tais algoritmos e remover qualquer Ordens pendentes no sistema que emanaram desses algoritmos disfuncionais. SEBI também disse em exigência, a bolsa de valores deveria estar em posição de desligar o terminal dos corretores. No início, as diretrizes regulatórias lidam com a gestão sistêmica de riscos e não parecem infringir a propriedade intelectual de um corretor, o que é ótimo, disse Rajesh Baheti, MD, Crosseas Capital Services. Um comerciante proprietário. 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 trading 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 banks 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 trading. This 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 Icaps 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 stocks 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, 1015 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 in 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: execution 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 Asias 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 encourage 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 apprehended 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 this 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 circularsnotices, 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 brokertrading 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 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. 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 Lewiss 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 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 Kumar, 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 PwC, 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 FPIs 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 Sebis 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. Thats 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 exchanges trading system, they decided to put in both their feet. Prior to 2009, their only connection with India was the occasional visit 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. Meanwhile, 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 governments 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 branches that retail brokerages had, which is not the case in the US. It did not take too much time for RKSVs 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 Mumbais 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. Thats 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 amp ExchangeCommission (SEC), allowed the first high-frequency 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 11,000th of second and a micro second is 11,000,000 of a second. What is a high frequency traders 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 trader 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 buysell 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 analysing 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 execution 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 Lewiss 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 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 Kumar, 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, Schaumburg 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 Europes common currency, yielding a profit of 120.65 euros per 1 million invested. The so-called round-trip transaction, or triangular arbitrage, doesnt 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 couldnt 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 dont think very highly of it, though the acting, particularly Leonardo DiCaprios, 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 scale. We need to keep in mind the movie is set in the 1990s when stock markets 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 ones 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 couldnt 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 dont remember a single broker whose wealth could be compared to that of an industrialist. We have never had the excesses of Wall Street 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 wouldnt 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 Settlement 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 end. 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, Indias 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 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 circularsnotices, 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 brokertrading 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.
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