Quantitative strategy testing
You bring the rules. We backtest, optimise, visualise and deploy them — by hand, with a full report at the end. We don't sell signals, and we don't tell you what to trade.
01 — What we do
No dashboard to learn, no template to fill in. A person reads your idea, writes the spec, runs the work and answers your questions.
Your rules coded exactly as specified and run over clean historical data — with commission, slippage and realistic fills modelled, not waved away.
Parameter sweeps, walk-forward analysis and sensitivity surfaces — tuned toward robustness rather than the prettiest possible curve.
Every entry and exit drawn on the chart, so you can see when your logic fires, when it stays flat, and where it hurts.
Take a strategy you've validated and put it live on your platform, with monitoring, logging and a documented kill-switch.
A rough idea turned into a precise, testable specification — filters, sizing, exits and the edge cases you hadn't decided yet.
You've trained a model — we stress-test whether the edge is real or an artefact of how it was validated. Leakage, decay and honest out-of-sample scoring.
We don't originate strategies, sell signals, manage money, or tell you what to trade. You specify the strategy; we test it and report what we find.
That boundary is deliberate. It's also what keeps our results honest.
02 — How it works
Rough is fine. A paragraph, a screenshot, a TradingView script, or a set of rules scribbled down. If it's incomplete, we'll tell you exactly what's missing.
Your idea becomes an unambiguous written specification — entries, exits, filters, sizing, session rules, edge cases. Nothing gets coded until you approve it.
Coded to spec and run over clean data with costs and slippage. Out-of-sample held back. Parameter sensitivity mapped so you can see whether the edge is real or fragile.
Standard KPIs plus any custom metric you ask for, the full assumption list, and a plain-English read on what held up and what didn't — including when the answer is "this doesn't work".
Scope, timeline and deliverables are agreed in writing before we start. Every engagement has a deadline.
03 — Coverage
We're not limited to a fixed list of supported markets. Data availability is the only real constraint — and we'll tell you whether clean history exists before you commit to anything.
04 — Deliverable
This is the depth every engagement ships with. Scroll it — it's the whole thing, the unflattering parts included.
Out-of-sample performance below in-sample is normal and expected. A strategy that performs better out-of-sample usually means the split leaked — we say so when it happens.
Backtested and simulated results are hypothetical. They do not represent actual trading, carry no guarantee of future performance, and are subject to the modelling assumptions listed above. This report describes the behaviour of a client-specified strategy; it is not advice and not a recommendation to trade.
05 — Why trust the numbers
Not a variant we liked better. If we think a rule is a problem, we say so in writing and let you decide — then we test what you chose.
Commission and slippage are in every result by default. A backtest without costs isn't a backtest; it's a chart.
A held-back window no parameter ever touched. You see both numbers, side by side, even when the second one is worse.
We map the parameter surface and show you the whole thing. Edges that exist at one exact setting aren't edges.
Data source, fill logic, sizing, survivorship handling. If you can't reproduce our reasoning, we haven't finished the job.
Plenty of ideas don't survive contact with costs and out-of-sample data. Finding that out on paper is the cheapest outcome available to you.
06 — Questions
No. We are a testing and reporting service. You specify the strategy; we test it and report what the data shows. We don't recommend instruments, don't sell signals, don't manage money, and nothing we produce is investment advice.
That's normal and it's fine. Most ideas arrive as a paragraph and a screenshot. Turning that into a precise, testable specification is part of the work — we'll ask the questions you haven't answered yet and write it up for your sign-off.
Whatever you have: rules in plain English, a Pine/Python script, chart screenshots, or a description of what you watch for. The more specific the entries, exits and sizing, the faster we start.
Anything tradable with available data — US equity options, index futures, NIFTY F&O, equities, ETFs, FX, commodities, crypto. If clean history for your instrument doesn't exist or is unreliable, we'll tell you that up front rather than quietly producing a result you can't trust.
It depends on the complexity of the rules and the data involved. You get a scope and a firm deadline in writing before any work starts, so you're never waiting on an open-ended promise.
Yes. Your idea is yours. We don't trade it, don't resell it, don't reuse it for another client, and we'll sign an NDA if you want one on file.
Yes — custom KPIs are part of the service. If you care about a specific metric, exposure breakdown, regime split or risk measure, tell us and it goes in the report.
You get the report anyway, with the reasons. We'd rather hand you an honest negative result than a flattering one — and we'll point at which assumptions, if any, were doing the damage.
07 — Start
Tell us roughly what you trade and what you want answered. We'll come back with what we'd need, what we'd do, and how long it takes.
Message us on WhatsApp +91 90164 51019 — usually the fastest wayPrefer email? taurus.consultancyservice@gmail.com