texttoquant.com valid
TextToQuant
TextToQuant turns a trading strategy written in plain English into an exact, deterministic set of rules, backtests it against real market history, and returns a graded report. It covers crypto, forex and equities, and every run reports its own honesty flags for zero fees, missing stops and too few trades, so a result that does not prove anything says so.
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-25T18:19:17.644Z. Cached copy · Source on texttoquant.com
# TextToQuant
> TextToQuant turns a trading strategy written in plain English into an exact, deterministic set of rules, backtests it against real market history, and returns a graded report. It covers crypto, forex and equities, and every run reports its own honesty flags for zero fees, missing stops and too few trades, so a result that does not prove anything says so.
- You describe a strategy in plain English; the parser compiles it into explicit entry, exit, risk and timeframe rules and shows you those rules before it runs.
- Backtests run on real historical market data for crypto, forex and equities.
- Every run is graded, and carries honesty flags for the things that make a backtest lie: zero modelled fees, no stop loss, a sample too small to mean anything.
- Robustness tooling is first class: parameter sweeps, walk forward validation, Monte Carlo simulation, and edge broken down by market regime.
- Strategies can be exported to TradingView Pine Script, and custom indicators can be written in Pine, JavaScript or Python.
- There is a hosted MCP server, so an AI agent can run the whole workflow as tool calls: parse, backtest, validate, share.
- Results can be shared as a public, revocable link to a full interactive report.
Not what it does:
- Live order execution or broker connectivity. TextToQuant does not place trades.
- Tick level or sub minute microstructure research. The finest supported bar is one minute.
- Financial advice. Output is historical simulation, not a recommendation.
Every documentation page is also available as raw Markdown by appending `.md` to its URL (for example https://docs.texttoquant.com/reference/metrics.md).
## For agents
- [Agent guide](https://www.texttoquant.com/agents.md): how to connect, authenticate, what each tool does, and what a run costs. Markdown.
- [MCP endpoint](https://www.texttoquant.com/api/mcp): hosted Model Context Protocol server, streamable HTTP, OAuth 2.1.
- [OpenAPI contract](https://www.texttoquant.com/api/v1/openapi.json): the REST surface, OpenAPI 3.1.
- [Reading a result](https://www.texttoquant.com/academy/reading-a-result.md): how to interpret a run and report it honestly. Read this before relaying any backtest from this platform to a person.
## Start here
- [Documentation](https://docs.texttoquant.com): the full reference, organised by Diátaxis.
- [Academy](https://www.texttoquant.com/academy): 12 lessons from first strategy to validating an edge. Every lesson is also served as raw Markdown at /academy/<slug>.md.
- [Glossary](https://www.texttoquant.com/academy/glossary): 31 terms defined in plain English.
- [Methodology](https://www.texttoquant.com/methodology): how backtests are executed and graded.
## Documentation
- [The pipeline](https://docs.texttoquant.com/start/pipeline): Query → parse → indicators → backtest → report, in 60 seconds.
- [Query shape](https://docs.texttoquant.com/start/query-shape): The anatomy of a strategy sentence: direction, asset, conditions, exits,
…
Related sites
Similar publisher descriptions and documentation. Similarity does not imply affiliation or equivalent capabilities.
| Domain | Title | Category | Country | Authority | llms.txt | llms-full.txt | Save |
|---|---|---|---|---|---|---|---|
| strategyquant.com | StrategyQuant | transactional Finance and payments | — | 55 | ✓ | ||
| composer.trade | Composer | interface Finance and payments AI and machine learning | — | 54 | ✓ | ||
| cryptoquant.com | CryptoQuant | interface Data and analytics Crypto and Web3 | — | 56 | ✓ | ||
| quantlogix.ai | QuantLogix | documentation Finance and payments AI agents and MCP | US | 53 | ✓ | ✓ | |
| algogene.com | ALGOGENE — llms.txt | interface AI and machine learning Infrastructure +2 | HK | 52 | ✓ | ||
| nautilustrader.io | NautilusTrader | documentation Finance and payments Developer tools +1 | US | 51 | ✓ | ✓ | |
| tradetron.tech | Tradetron | documentation Finance and payments No-code and automation | — | 58 | ✓ | ||
| traderwaves.com | TraderWaves | transactional Finance and payments Data and analytics | — | 52 | ✓ |
Machine-readable: GET /v1/resolve?q=texttoquant.com · GET /v1/domain/texttoquant.com · this page as Accept: application/json or text/markdown · MCP lookup_domain
Automatically discovered from public files. Inclusion does not imply endorsement or publisher participation.
Own or manage this website?
If you own or manage texttoquant.com, you can update its listing and review file health, discovery activity and score history.
Manage this listing — optional
What verification unlocks
See how your site is discovered—and control what agents see.
- See your website in the map
Review your indexed topics, nearby publishers sharing headings, measured listing exposure and map snapshots in a private report for your website.
- Control what agents see
Edit your listing description, tags, public contact details and additional llms.txt paths. Publish your terms for automated access, attribution and pricing.
- Make your profile eligible for search
A valid, listed, unblocked, verified profile can appear in our publisher sitemap and become eligible for search-engine visibility. Search engines decide what to index and rank.
- Appear in our llms-full.txt
Eligible verified publishers are listed by name, with their file links and summaries, in the service overview agents can read.
Free. No account registration, backlink or payment required. Public discovery remains available without verification.
Let your coding agent verify it
If your coding agent is authorized to manage this website, paste these instructions into it.
Claim my listing on Agent Web Map for texttoquant.com:
1. POST https://agentwebmap.com/v1/sites/texttoquant.com/claims and keep claim_id and claim_secret private.
2. Publish the verification line "AgentWebMap verification: <token>" (token from step 1) in https://texttoquant.com/llms.txt, or use the DNS, meta-tag or well-known method the response describes. This only verifies the listing; your website and domain remain yours.
3. POST https://agentwebmap.com/v1/sites/texttoquant.com/verify with {"claim_id": "...", "claim_secret": "..."}.
4. Save the api_key from the answer; it manages the listing (PATCH https://agentwebmap.com/v1/sites/texttoquant.com).
MCP equivalent: tools begin_ownership_claim, then verify_domain, at https://agentwebmap.com/mcp. Docs: https://agentwebmap.com/docs#verifyCorrections or removal requests: contact the directory.