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indian-algo-trading v1.1.8

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@brisingr123 brisingr123 released this 26 May 14:55
· 9 commits to main since this release
v1.1.8
c9b6e78

Changelog

All notable changes to this project will be documented in this file.

Format follows Keep a Changelog.
This project uses Semantic Versioning.

[1.1.7] - 2026-05-26

Added

  • Loopback SSO login pattern for self-hosted strategies. New critical Rule 8 in SKILL.md requires shipping a login.py that spins up a stdlib HTTPServer on 127.0.0.1:8765/callback, opens the SSO URL in the browser, and exchanges the captured auth_token for an access_token automatically. End users never see either token. Strategies read the cached token via auth.get_client(). Eliminates the most common end-user bug (confusing auth_token with access_token).
  • scripts/scaffold_strategy.py gained a --deployment {self-hosted,container} flag (default self-hosted). Self-hosted scaffolds ship login.py + auth.py; main.py calls get_client(); .env.example carries VORTEX_API_KEY + VORTEX_APPLICATION_ID; requirements.txt pulls in python-dotenv. Container scaffolds skip the login files entirely: main.py does zero-arg VortexAPI() (platform injects VORTEX_ACCESS_TOKEN), .env.example warns against putting broker credentials in .env, and python-dotenv is dropped from requirements.txt. "Next steps" output branches accordingly.
  • references/brokers/rupeezy-vortex.md Self-Hosted section rewritten with full login.py + auth.py code listings; manual OAuth flow demoted to an "advanced/headless only" footnote.

Changed

  • Ticker-first guidance for vortex-api >= 2.1.8. Critical Rule 1 in SKILL.md and the entire references/brokers/rupeezy-vortex.md reference now teach identifying instruments by ticker ("NSE:RELIANCE") instead of (exchange, token) pairs. Updated examples:
    • place_order(ticker=...), historical_candles(ticker=...), get_order_margin(ticker=...)
    • client.quotes(instruments=["NSE:RELIANCE"], ...) — tickers accepted directly
    • wire.subscribe(ticker=..., mode=...) and reading tick["ticker"] from VortexFeed updates
    • client.instruments.get_by_ticker(...) / get_by_exchange_token / get_by_isin / all_by_underlying / filter replace hand-rolled CSV scanning
  • Replaced the broken from vortex import Client + master[master['tradingsymbol']==…] snippet in references/backtesting.md with a working ticker-form historical_candles call.
  • references/indian-market.md tick-size lookup, data-sources table, and "Always download fresh instrument master" sections now point to client.instruments for Vortex while remaining broker-agnostic.
  • scripts/validate_strategy.py — the "hardcoded token" violation message now recommends the ticker form first, with client.instruments.get_by_ticker(...) as the metadata-access path.
  • Documented the IDX ticker convention for indices ("NSE:NIFTYIDX", "NSE:BANKNIFTYIDX", "BSE:SENSEXIDX") — the suffix lives on the ticker, the underlying symbol stays bare.
  • Bumped requirements.txt example from vortex-api>=1.0.0 to vortex-api>=2.1.8.

Notes

  • Legacy (exchange, token) form is still accepted by the SDK but emits FutureWarning. One legacy example is retained per surface (orders, websocket) so users on older code can recognise the deprecated pattern.

[1.1.4] - 2026-03-31

Changed

  • Restructured repo to native plugin layout (skill files under skills/indian-algo-trading/)
  • Repo is now directly installable as a Cowork marketplace — no build step needed
  • Updated Makefile for new directory structure

[1.1.1] - 2026-03-31

Added

  • marketplace.json for plugin discoverability in marketplaces
  • Dual packaging: .skill (platform-agnostic) and .plugin (Claude + Rupeezy MCP)
  • .mcp.json bundling Rupeezy Trading and Strategy Platform MCP servers
  • Makefile with skill, plugin, all, release, validate, and test-scaffold targets
  • CONTRIBUTING_BROKER.md — step-by-step guide for adding broker adapters with AI prompt template
  • validate_broker_adapter.py — automated broker adapter validation script

Changed

  • Removed MCP tool docs from rupeezy-vortex.md (auto-discovered via .mcp.json)

[1.0.0] - 2026-03-31

Added

Core Skill

  • SKILL.md with pre-flight checklist, reference routing table, 13 critical rules, and code architecture patterns
  • Progressive disclosure: 290-line brain routes to 16 reference files by context

Reference Files (16)

  • strategy-patterns.md — 6 core + 5 advanced strategy patterns with code skeletons
  • risk-management.md — position sizing (fixed fractional, ATR, Kelly Lite), drawdown controls, F&O margin monitoring
  • indian-market.md — market timings, expiry calendar, STT rates FY 2025-26, circuit limits, auction risk, tick sizes, DPR, NSE no-API rule
  • backtesting.md — library selection guide, realistic transaction costs, parameter optimization
  • error-handling.md — order state machine, partial fills, graceful shutdown, state persistence
  • code-quality.md — project structure, logging, pytest patterns, config management
  • options-greeks.md — Black-Scholes, delta-neutral, gamma scalping, theta harvesting, IV vs RV
  • regime-detection.md — HMM for 3 regimes, strategy decay via rolling Sharpe
  • india-data-edge.md — FII/DII flows, OI analysis, PCR, max pain, delivery %, rollover, GIFT Nifty
  • execution-alpha.md — TWAP, VWAP, iceberg, impact cost, NSE intraday timing patterns
  • robustness-testing.md — walk-forward optimization, Monte Carlo, sensitivity analysis
  • portfolio-construction.md — multi-strategy allocation, correlation-aware sizing, decay rotation
  • psychological-guardrails.md — daily loss breaker, consecutive loss pause, weekly throttle, killswitch
  • tax-optimization.md — STCG vs LTCG (20% vs 12.5%), tax-loss harvesting, F&O business income
  • python-performance.md — vectorization, Numba JIT, Polars, async, profiling workflow

Broker Support

  • brokers/rupeezy-vortex.md — full Vortex SDK reference (primary broker)
  • brokers/BROKER_TEMPLATE.md — 12-section template for community broker adapters
  • brokers/CONTRIBUTING_BROKER.md — step-by-step guide for adding a new broker with AI prompt template, verification checklist, and maintainer review process

Scripts

  • validate_strategy.py — AST-based linter checking for hardcoded tokens, missing stop-loss, print statements, NSE scraping, tick size rounding
  • validate_broker_adapter.py — validates broker adapter docs against template structure, checks for placeholders, constants completeness, OAuth flow documentation
  • scaffold_strategy.py — generates best-practice project skeleton with main.py, strategy.py, risk_manager.py, guardrails.py, config.py, tests/

Assets

  • assets/strategy_template/ — 9 standalone template files matching scaffold output, browsable as reference

Evals

  • evals/evals.json — 10 test prompts with 65 assertions covering all critical skill capabilities

Governance

  • CONTRIBUTING.md with 6 contribution types, trust tiers, DCO, code of conduct
  • Strategy patterns are core-team only (not open for community contribution)
  • Apache 2.0 license
Assets 4
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