analyze
Analyze market regime and session structure in this MQL5 workspace using reusable CSV exports from an MQL5 script.
Skill by kecoma1
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/kecoma1-analyze
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: spreadsheets, data, agent-building
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/analyze
What's inside
- Skill name
analyze- Description
- Analyze market regime and session structure in this MQL5 workspace using reusable CSV exports from an MQL5 script. Use when Codex needs to classify a market as Tendencial or Lateral with moving average and ATR, export per-session data to Terminal Common Files for M15, H1, and D1, and then read those CSV files directly to summarize insights and recommendations by session without recreating scripts that already exist.
- License
- MIT
- Instructions
- 171 lines in SKILL.md · view on GitHub
Agent Skills spec issues
- body: contains an absolute path from the author's machine
Files (2)
- SKILL.md
- openai.yaml · agents/
SKILL.md (first lines)
# Analyze ## Overview Use this skill to analyze markets by session in this workspace. Keep the workflow simple: - export CSV data with the MQL5 script - read the CSV directly - answer the user from the exported data Do not create HTML reports. Do not rely on Python for this workflow. ## Reusable files Use these files as the primary workflow: - `Scripts\codex\SessionMarketExporter.mq5` - `Presets\SessionMarketExporter-<SYMBOL>-lastyear.set` - `config\session-market-exporter-<symbol>-lastyear.ini` Do not recreate them on each request. Reuse them and only update them when the export logic is actually wrong. ## Goal Produce session-level market analysis for `M15`, `H1`, and `D1` with: - Session name - Moving average context - ATR context - Market type: `Tendencial` or `Lateral` - Trend direction - Session volatility - Session insights - Session recommendations ## Export workflow 1. Compile `Scripts\codex\SessionMarketExporter.mq5`. 2. Create or update a script preset under `MQL5\Presets\` with plain script values. 3. Create or update a startup `.ini` under `MQL5\config\` using `[StartUp] Script=...`. 4. Close any running `terminal64.exe` before launching. 5. Launch MT5 with `/config:...`. 6. Export CSV files into `Terminal\Common\Files\`. 7. Read the generated CSV files directly and summarize them for the user. ## Script preset rule For `ScriptParameters`, use a normal script preset with simple `key=value` lines. Correct example: ```ini InpSymbol=EURUSD InpLookbackDays=365 InpMAPeriod=20 InpMAMethod=0 InpATRPeriod=14 InpTrendSlopeAtrRatio=0.15 InpTrendDistanceAtrRatio=0.20 InpOutputPrefix=session_market ``` Do not use the optimization format `value||start||step||stop||selected` in a script preset. That format is for optimization, not for scripts. ## Startup ini pattern Use this structure: ```ini [Common] Login=4000030114 [Experts] Enabled=1 [StartUp] Symbol=EURUSD Period=M15 Script=codex\SessionMarketExporter ScriptParameters=SessionMarketExporter-EURUSD-lastyear.set ShutdownTerminal=1 ``` The `Script=` path is relative to `MQL5\Scripts\`. The `ScriptParameters=` file is loaded from `MQL5\Presets\`. ## Exported CSV files Expect one CSV per timeframe: - `session_market_<SYMBOL>_M15.csv` - `session_market_<SYMBOL>_H1.csv` - `session_market_<SYMBOL>_D1.csv` In this workspace they are currently exported directly under: - `C:\Users\user-id\AppData\Roaming\MetaQuotes\Terminal\Common\Files\` ## CSV expectations The exported CSV should include fields like: - `session` - `ma_value` - `ma_slope_points` - `atr_points` - `distance_to_ma_points` - `trend_direction` - `market_type` - `trend_score` Treat these CSV files as the source of truth. ## Session model Use these session buckets for intraday analysis:
From kecoma1/MQL5-SKILLS, MIT.
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Signals
- Stars
- 18
- Forks
- 9
- Open issues
- 1
- Last commit (this folder)
- Apr 9, 2026 (6 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/kecoma1/MQL5-SKILLS
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
analyze skill. Agent Mart. https://agentmart.dev/skills/kecoma1-analyze (last updated 2026-10-24)