Claude Trading Skills is a collection of Claude Code workflows for individual investors who want structured market analysis, charting, economic-calendar review, screening, trade planning, journaling, and risk management. It is designed for people using long-term investing, ETFs, dividend stocks, and disciplined swing trading, and the catalogue entries package these workflows as skills, agents, commands, settings, and instructions.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add tradermonty/claude-trading-skills --skill mt5-robot-testergit clone --depth 1 https://github.com/tradermonty/claude-trading-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/tradermonty/claude-trading-skills/mt5-robot-tester)<a href="https://agentmods.dev/skills/tradermonty/claude-trading-skills/mt5-robot-tester"><img src="https://agentmods.dev/badge/skills/tradermonty/claude-trading-skills/mt5-robot-tester/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/tradermonty/claude-trading-skills/mt5-robot-tester"><img src="https://agentmods.dev/badge/skills/tradermonty/claude-trading-skills/mt5-robot-tester.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00111 | $0.02626 |
| Opus 5.5 | $0.00044 | $0.01050 |
| Sonnet 5.5 | $0.00022 | $0.00525 |
| Haiku 4.5 | $0.00011 | $0.00263 |
Grade A, and why
mt5-robot-tester scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 22d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 208 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MT5 Robot Tester
Overview
Select the best MetaTrader 5 robots (Expert Advisors) from a candidates folder by driving the Strategy Tester from the command line through a 3-round pipeline, moving each bot between folders as it advances, and learning across runs to improve selection each loop. The whole run is checkpointed and resumable.
- Round 1 — screening (all pairs): backtest the EA on each symbol in the
configured
common.symbolslist (oneOptimization=0backtest per symbol — MT5 build 6061 leaves theOptimization=3XML empty, so per-symbol backtests are used). Gate: ≥5 symbols profitable AND best symbol ≥3× deposit. - Round 2 — best-pair backtest: single backtest on the best symbol; analyze net profit %, worst drawdown %, % positive months, all-years-positive, LR Correlation, months-to-new-high.
- Round 3 — sequential parameter optimization: optimize the 5–6 inputs after
MagicNumber, one at a time, range ±50% step 5%; then a final backtest. - Finalist: optimized result improves on Round 2 and profit ≥4× deposit and worst drawdown ≤12%.
Tested bots move to in-testing; finalists are also copied to finalists with
their optimized .set.
When to Use
- "Prueba robots / bots / EAs en MetaTrader 5."
- Screen a folder of MT5 Expert Advisors and pick the best across all pairs.
- Optimize EA parameters and decide finalists by profit/drawdown/consistency.
- Resume an interrupted testing run.
Prerequisites
- Windows + MetaTrader 5 installed (the tester runs
terminal64.exe). - Broker tick data downloaded (default modeling is real ticks,
Model=4). - The three folders under
MQL5\Experts: candidates, in-testing, finalists. common.symbolsset in the config — the pairs Round 1 backtests (your Market Watch symbols).- Optional per-bot
.setfiles (configsets_dir) for the Round-2 baseline and Round-3 parameter optimization. Every input is fixed during optimization except the one parameter currently being searched; without a.set, Round 3 is skipped and the verdict comes from Round 2. - Close MetaTrader 5 before running — the tester needs exclusive use of the data folder.
- Python 3.9+ (standard library only). No paid API.
What ships with it
18 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- assets/dashboard.html 11 KB
- assets/pipeline_config.template.json 2.3 KB
- references/mt5-cli-reference.md 6.4 KB
- requirements.txt 70 B
- scripts/dashboard.py 15 KB runs code
- scripts/mt5_batch_tester.py 57 KB runs code
- scripts/mt5_common.py 7.4 KB runs code
- scripts/mt5_learnings.py 7.5 KB runs code
- scripts/parse_mt5_optimization.py 6.5 KB runs code
- scripts/parse_mt5_report.py 9.7 KB runs code
- scripts/tests/fixtures/sample_opt.xml 12 KB
- scripts/tests/fixtures/sample_report.htm 2.8 KB
- scripts/tests/test_batch_tester.py 40 KB runs code
- scripts/tests/test_dashboard_gates.py 3.6 KB runs code
- scripts/tests/test_dashboard.py 7.8 KB runs code
- scripts/tests/test_learnings.py 1.9 KB runs code
- scripts/tests/test_parse_optimization.py 1.9 KB runs code
- scripts/tests/test_parse_report.py 2.9 KB runs code
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 22d ago Changed · +26 lines 8048035bb299
- 1mo ago First seen · 182 lines · 111 tokens per session scan A 586e7be5a532
mt5-robot-tester is a skill published in the GitHub repository tradermonty/claude-trading-skills (3,373 stars, last pushed yesterday), licensed MIT. It adds 111 tokens to every session and 2,626 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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