# Trade Vectors LLP

> Trade Vectors LLP (formerly Tvisi Algo Systems LLP) is a trading-technology firm, operating since 2012 from Mumbai and Surat, India. We build custom algorithmic trading software to our clients' own strategies: broker API integration, backtesting, quantitative research engineering and automation, across any market and any broker. We are a technology and consulting firm only. We do not provide investment advice, do not manage money, do not supply trading strategies or signals, and make no claim about returns or performance. The client's strategy and every trading decision remain entirely the client's own.

## Core services
- [Custom Algorithmic Trading Software](https://tradevectors.com/services/custom-algorithmic-trading-software/): Turn a client's defined strategy into working, automated software: the logic, order management, risk controls and execution through the client's broker. This is most of what we do.
- [Broker API Integration](https://tradevectors.com/services/broker-api-integration/): Connect a strategy to one or many brokers over REST, WebSocket or FIX, with multi-account, multi-broker execution and reconciliation. Interactive Brokers and 25+ more, plus global exchanges (CME, NYMEX, COMEX, CBOT, Eurex, ICE, NSE, MCX).
- [Interactive Brokers API Integration](https://tradevectors.com/services/broker-api-integration/interactive-brokers/): Custom IBKR development (TWS, IB Gateway, FIX) and multi-account execution. Listed on the IBKR Investors' Marketplace since 2013.
- [Quantitative Research & Consulting](https://tradevectors.com/services/quantitative-research-consulting/): Test and validate a hypothesis the client brings us, out-of-sample and walk-forward, against realistic costs. The decision stays with the client.
- [AI and Machine Learning in Trading Research](https://tradevectors.com/services/ai-powered-research/): Machine learning applied as an engineering tool (pattern recognition, NLP, feature engineering), not a market-predicting or money-making system.
- [Own Your Trading System](https://tradevectors.com/own-your-trading-system/): Move off monthly platform subscriptions to a system the client owns outright.
- [Institutional Research & Technology Operations](https://tradevectors.com/institutional-research-operations/): Research and technology operations for licensed managers as a fixed-fee vendor. The client holds the licence and every decision.

## Markets we automate
- [Markets we automate](https://tradevectors.com/markets/): Automation across every market a client trades. You bring the strategy, we build the software.
- [Options trading automation](https://tradevectors.com/markets/options/): Multi-leg orders, live strike selection, expiry handling and fast execution.
- [Index options automation](https://tradevectors.com/markets/index-options/): Nifty and Bank Nifty in India, plus US index and ETF options.
- [Commodities trading automation](https://tradevectors.com/markets/commodities/): Energy, metals and grains on NYMEX, COMEX, CBOT and MCX, with contract rollover handled.
- [Futures trading automation](https://tradevectors.com/markets/futures/): Rollover, continuous contracts and margin across CME, Eurex, ICE, NSE and MCX.
- [Forex trading automation](https://tradevectors.com/markets/forex/): MetaTrader (MT4 and MT5) Expert Advisors and broker APIs, multi-broker, around the clock.
- [Stocks and ETF automation](https://tradevectors.com/markets/stocks-etfs/): Universe scanning, corporate actions, and inverse or leveraged ETFs, on US and Indian markets.
- [Crypto trading automation](https://tradevectors.com/markets/crypto/): Exchange APIs such as Binance, spot and derivatives, round-the-clock uptime. The client holds their own keys.

## Solutions we build (by system type)
- [Systems we build](https://tradevectors.com/solutions/): Platforms and systems, built for the operator who runs them.
- [Backtesting software](https://tradevectors.com/solutions/backtesting-software/): Look-ahead-free engines with realistic fills, costs and out-of-sample testing.
- [Market scanners and analysis](https://tradevectors.com/solutions/market-scanners/): Real-time screening across a large universe of symbols, by the client's own rules.
- [Multi-strategy and multi-broker platforms](https://tradevectors.com/solutions/multi-broker-platforms/): Many strategies, many accounts, many brokers, with admin panels and monitoring.
- [Copy-trading and allocation](https://tradevectors.com/solutions/copy-trading/): Mirror a master strategy into follower accounts, sized and risk-checked per account. Built for the operator.
- [Strategy marketplace platforms](https://tradevectors.com/solutions/strategy-marketplace/): Provider listings, subscriptions and billing, and execution to subscribers. The operator runs it.
- [Execution engines](https://tradevectors.com/solutions/execution-engines/): Independent, cloud-based engines that run continuously and recover cleanly.
- [Portfolio rebalancing and hedging](https://tradevectors.com/solutions/portfolio-rebalancing/): Automating the client's own rebalancing and hedging rules. Not portfolio management.

## Engineering and infrastructure
- [Platforms, brokers and languages](https://tradevectors.com/technology/): 35+ platforms and 25+ brokers across the US, India and crypto; every major language (Python, C++, C#, Java, MQL, and more).
- [Trading system architecture and infrastructure](https://tradevectors.com/technology/trading-system-architecture/): Matching infrastructure to the workload, so a system is fast where it matters and cheap everywhere else, including when co-location is worth it and when it is not.
- [Market-data engineering](https://tradevectors.com/technology/market-data-engineering/): Choosing and integrating the right data feed for a strategy, honestly advised.

## Case studies (anonymised; no performance figures)
- [All case studies](https://tradevectors.com/case-studies/): Anonymised client systems and in-house research.
- [Multi-broker trading platform](https://tradevectors.com/case-studies/multi-broker-trading-platform/): A multi-tenant platform, a web portal, a central database and a native execution engine across several brokers.
- [Enterprise-scale personal-finance platform](https://tradevectors.com/case-studies/enterprise-fintech-data-platform/): Consent-first data aggregation on India's Account Aggregator framework, an AI analytics pipeline with MLOps, and security and compliance at scale.
- [Linear-regression support strategy](https://tradevectors.com/case-studies/linear-regression-support-strategy/): A look-ahead-free backtesting engine for a pattern strategy that finds dynamic support by linear regression.
- [Automating a 0DTE index-options strategy on IBKR](https://tradevectors.com/case-studies/automating-a-0dte-options-strategy/): Live data, low-latency strike selection and tight two-leg execution.
- [Pattern-recognition strategy on IBKR](https://tradevectors.com/case-studies/pattern-recognition-ibkr/): A client's own strategy taken from research to a paper-traded IBKR system.
- [Multi-market backtesting platform](https://tradevectors.com/case-studies/multi-market-backtesting-platform/): An in-house engine for testing strategies across many markets and asset classes, with realistic costs and out-of-sample discipline.
- [Trend-following index research](https://tradevectors.com/case-studies/trend-following-index-research/): In-house research into trend-following methods on index data. A capability study only, with no product, traded results or performance figures.

## Guides (blog)
- [How to build a trading bot in Python](https://tradevectors.com/blog/how-to-build-a-trading-bot-in-python/)
- [Automating an options strategy in Python](https://tradevectors.com/blog/automating-an-options-strategy-in-python/)
- [How to backtest an options strategy properly](https://tradevectors.com/blog/how-to-backtest-an-options-strategy/)
- [Building a forex trading bot (EA) for MT5](https://tradevectors.com/blog/building-a-forex-ea-for-mt5/)
- [Futures rollover: automating contract continuity](https://tradevectors.com/blog/futures-rollover-contract-continuity/)
- [The edge cases that separate a demo from a live trading system](https://tradevectors.com/blog/edge-cases-live-trading-systems/)
- [Trading infrastructure sizing: when you actually need co-location](https://tradevectors.com/blog/trading-infrastructure-sizing-colocation/)

## Company
- [About](https://tradevectors.com/about/): A small senior team; 350+ projects across 12+ countries since 2012. Formerly Tvisi Algo Systems LLP (the same legal entity).
- [Founders](https://tradevectors.com/about/founders/): Ankur Parikh and Kashyap Thakkar, the two engineers behind Trade Vectors.
- [Training](https://tradevectors.com/training/): Background on the algorithmic-trading and AI-in-markets courses our founders have taught with NSE Academy and TimesPro. Shown for credibility; we do not sell courses here.
- [How We Work](https://tradevectors.com/how-we-work/): Scope, build, cost and the honest gap between a backtest and live trading.
- [FAQ](https://tradevectors.com/faq/): Straight answers on custom trading software, ownership, brokers and NDAs.
- [Contact](https://tradevectors.com/contact/): Book a consultation.

## Where we work
- [India](https://tradevectors.com/in/): NSE, BSE, F&O and MCX; Indian broker APIs; a SEBI-aware technology framing (technology only, not advice).
- [USA](https://tradevectors.com/us/): US equities, futures and options, primarily via the Interactive Brokers API.
- [UAE and the Gulf](https://tradevectors.com/uae/): Global markets via Interactive Brokers and local DFM/ADX; a fixed-fee vendor to licensed managers.
- We also work with clients worldwide, in 12+ countries.

## Important notes
- Trade Vectors provides technology and consulting only. It is not registered with SEBI as a Research Analyst, Investment Adviser, stockbroker or Portfolio Manager, and nothing it offers requires such registration.
- No performance, profit or return figures appear anywhere on the site; trading involves a substantial risk of loss.
- Mutual-fund distribution is a separate business under its own AMFI registration on a separate property (wealth.tradevectors.com) and is not covered here.
- Full terms: https://tradevectors.com/disclaimer/ and https://tradevectors.com/privacy/