StrikePoint Ventures is a data-led quantitative firm with years of experience in live markets. One team can look after every layer of your trading infrastructure, from research through data to execution.
Research an edge, build the system that trades it, then run it on real capital.
A strategy that should be doing more? We subject it to strict backtesting, statistical validation and careful edge research, then return a strategy you can back with statistics and fully own. Everything runs under NDA, and your strategy and IP remain yours.
See Research & Technology →Bespoke software for financial markets: execution systems, backtesting engines, analytics terminals and market data infrastructure, shaped around your workflow and connected to your broker. Created by a team that runs its own automated capital on these same systems.
Tested proprietary strategies with an edge that has lasted for years. We trade our own capital using fully automated, risk managed systems that need very little human intervention. Real markets, not only backtests.
See the Proprietary Desk →Volume is not an edge. The desks that last run on tested rules, automated execution and hard risk limits, and that is the discipline we build into every system.
NSE was the world's largest derivatives exchange by contracts traded, 2019–2023.
NSE ↗of individual equity F&O traders lost money, FY22–FY24.
SEBI ↗lost by those traders over the same three years.
SEBI ↗SEBI brought retail algo trading under registered brokers.
Outlook Money ↗Eight building blocks. Take one, or let us run the whole stack from research to live execution.
Event-driven backtests with realistic fills, slippage, costs and margin, built for options and expiry mechanics.
Signal handling, order routing for multi-leg option structures, position management and full audit trails.
Volatility surfaces, Greeks, IV percentile and the variance risk premium, on index and stock options.
Live and historical tick capture, quality checks, corporate action adjustments and clean research APIs.
Pre-trade checks, position and loss limits, and kill switches that act before a human has to.
Adapters for Indian brokers such as Kite, Shoonya and XTS, global gateways and crypto exchanges.
Live P&L, exposure and positioning views, on your own servers or in the cloud.
An independent review of an existing strategy or bot for overfitting, look-ahead bias and execution bugs.
Four pillars that define our approach to quantitative software and market infrastructure.
Guided by quantitative market professionals with more than seven years of live trading experience.
Constructed on ultra-low latency pipelines, clean architecture and dependable infrastructure.
We remove bias. Each strategy is thoroughly tested against extensive historical quantitative backtests.
One team handles research, software, market data and execution, so you never have to piece together five different vendors.
Thirty minutes, free. You tell us the market and the goal; we say plainly whether it can be done.
Fixed scope, milestones, timeline and cost in writing before any work starts. No open-ended billing.
Research, backtests and software delivered in stages. You see interim results, not a black box.
Code, documentation, tests and the backtest framework are yours, deployed on your infrastructure, with a support period.
Our clients range from single traders to institutional desks. What they share is a preference for evidence over opinion.
You have a manual strategy or an idea and want it validated and turned into disciplined, hands-off execution.
You need research capacity, execution, risk or data infrastructure without hiring a full quant and tech team.
You want white-label research, analytics dashboards or backtesting to offer your own clients.
You need clean, dependable market data pipelines your models can trust.
You bought or built a strategy and want an independent, direct audit before more money goes in.
We are a technology and research firm. Your strategy, your money, your broker, your call.
No. StrikePoint Ventures is a technology and quantitative research firm. We build and validate software and research. We do not give investment advice, sell tips or signals, or manage client money.
You do. Client work runs under NDA. When a project ends you receive the code, documentation, tests and backtest framework, and your strategy and IP remain yours.
No. Systems we build are deployed on your own machines or servers and connect to your own broker account. Your funds and your execution stay under your control.
Any venue with an API. That includes Indian brokers such as Kite, Shoonya and XTS, global gateways like Interactive Brokers, and crypto exchanges through Binance. Most of our own work is in Indian index options.
Since SEBI's February 2025 circular, retail algorithmic orders go through your registered broker's API, from whitelisted static IPs, with algos identified to the exchange. We design deployments to fit your broker's process under that framework.
It depends on scope. After a free scoping call you get a written proposal with fixed scope, milestones, timeline and cost before any work begins.
No one honestly can. What we guarantee is a candid process: we test ideas against real costs and out-of-sample data, and we tell you when a strategy does not hold up.
Come anyway. Many projects start as a rough idea or a manual routine. The scoping call is where we work out whether it is worth testing.
Our posts summarise public research and regulation in our own words. Every post credits its sources, with links, at the end.
No Financial Services Provided: StrikePoint Ventures is a financial technology and quantitative software provider.
No Public Communication Channels: We do not operate any public WhatsApp, Telegram, or social media premium groups for trading tips or signals.
Technology & Strategy Tools Disclosure: Any software, terminal dashboards (including StrikePoint Atlas and StrikePoint Helm), backtesting metrics, or quantitative insights published on this website are for educational, informational, and research support purposes only. They do not constitute a direct recommendation, buy/sell advice, or financial solicitation.
User Responsibility & Broker Deployment: All automated rules, parameters, or strategies executed via our software are deployed at the user's sole discretion within their personal broker infrastructure. Users are entirely responsible for their own trading decisions, regulatory compliance, and risk exposures. Investments in the securities market are subject to market risks.