Tushare Data
zillionare/zillionare
面向中文自然语言的 Tushare 数据研究技能。用于把“看看这只股票最近怎么样”“帮我查财报趋势”“最近哪个板块最强”“北向资金在买什么”“给我导出一份行情数据”这类请求,转成可执行的数据获取、清洗、对比、筛选、导出与简要分析流程。适用于 A 股、指数、ETF/基金、财务、估值、资金流、公告新闻、板块概念与宏观数据等研究场景。
Select the best MetaTrader 5 trading robots (Expert Advisors) that have not been backtested yet, by running the MT5 Strategy Tester from the command line through a 3-round pipeline.
$ npx skills add tradermonty/claude-trading-skills --skill mt5-robot-tester -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install tradermonty/claude-trading-skills mt5-robot-tester --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/tradermonty/claude-trading-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/mt5-robot-tester .claude/skills/mt5-robot-tester && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "mt5-robot-tester" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/mt5-robot-tester into .claude/skills/mt5-robot-tester/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mt5-robot-tester", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/tradermonty/claude-trading-skills/tree/main/skills/mt5-robot-testerType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add tradermonty/claude-trading-skills --skill mt5-robot-tester -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install tradermonty/claude-trading-skills mt5-robot-tester --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tradermonty/claude-trading-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/mt5-robot-tester .agents/skills/mt5-robot-tester && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "mt5-robot-tester" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/mt5-robot-tester into .agents/skills/mt5-robot-tester/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mt5-robot-tester", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add tradermonty/claude-trading-skills --skill mt5-robot-tester -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install tradermonty/claude-trading-skills mt5-robot-tester --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tradermonty/claude-trading-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/mt5-robot-tester .cursor/skills/mt5-robot-tester && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "mt5-robot-tester" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/mt5-robot-tester into .cursor/skills/mt5-robot-tester/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mt5-robot-tester", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/tradermonty/claude-trading-skills.git --path skills/mt5-robot-tester--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add tradermonty/claude-trading-skills --skill mt5-robot-tester -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install tradermonty/claude-trading-skills mt5-robot-tester --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tradermonty/claude-trading-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/mt5-robot-tester .gemini/skills/mt5-robot-tester && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "mt5-robot-tester" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/mt5-robot-tester into .gemini/skills/mt5-robot-tester/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mt5-robot-tester", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install tradermonty/claude-trading-skills mt5-robot-testerInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add tradermonty/claude-trading-skills --skill mt5-robot-tester -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/tradermonty/claude-trading-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/mt5-robot-tester .github/skills/mt5-robot-tester && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "mt5-robot-tester" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/mt5-robot-tester into .github/skills/mt5-robot-tester/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mt5-robot-tester", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add tradermonty/claude-trading-skills --skill mt5-robot-tester -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install tradermonty/claude-trading-skills mt5-robot-tester --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tradermonty/claude-trading-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/mt5-robot-tester .opencode/skills/mt5-robot-tester && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "mt5-robot-tester" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/mt5-robot-tester into .opencode/skills/mt5-robot-tester/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mt5-robot-tester", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
mt5-robot-testerSelect the best MetaTrader 5 trading robots (Expert Advisors) that have not been backtested yet, by running the MT5 Strategy Tester from the command line through a 3-round pipeline.
Mt5 Robot Tester is an agent skill from tradermonty/claude-trading-skills. Select the best MetaTrader 5 trading robots (Expert Advisors) that have not been backtested yet, by running the MT5 Strategy Tester from the command line through a 3-round pipeline. Use when the user wants to batch-test MT5 bots/EAs, screen robots across all symbols, optimize EA parameters, or move candidate bots to finalists based on profit, drawdown, positive months/years and equity-curve criteria. Runs terminal64.exe headless; Windows + MetaTrader 5 required at run time.
Its SKILL.md is about 2.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 23 other files, including scripts, reference files and assets (for example `assets/pipeline_config.template.json`, `references/mt5-cli-reference.md` and `scripts/dashboard.py`).
It sits in Business, Finance & HR, covering Trading and backtesting. The repository describes itself as: Claude Code skills for equity investors and traders — market analysis, technical charting, economic calendars, screeners, and trading strategy development. The licence is MIT.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit c8d58f0. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 11 files in scripts/ (Python, from the files we listed), which the agent can run.
Shell commands in SKILL.md call:
python3From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Mt5 Robot Tester loads about 2.6k tokens when it runs, and up to ~4.2k if it reads all its reference files. Until then it costs about 124 tokens; SKILL.md has 1,195 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from tradermonty/claude-trading-skills at commit c8d58f0, republished under its MIT licence (© tradermonty). 1,195 words, ~2,586 tokens.
.claude/skills/mt5-robot-tester/SKILL.md (or your agent's skills folder). This skill also uses 18 other files; get the full folder from GitHub.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.
common.symbols list (one Optimization=0 backtest per symbol —
MT5 build 6061 leaves the Optimization=3 XML empty, so per-symbol backtests
are used). Gate: ≥5 symbols profitable AND best symbol ≥3× deposit.MagicNumber, one at a time, range ±50% step 5%; then a final backtest.Tested bots move to in-testing; finalists are also copied to finalists with
their optimized .set.
terminal64.exe).Model=4).MQL5\Experts: candidates, in-testing, finalists.common.symbols set in the config — the pairs Round 1 backtests (your
Market Watch symbols)..set files (config sets_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.Copy assets/pipeline_config.template.json, fill in the three folder paths and
set terminal_path to an explicit terminal64.exe path. For actual tester execution, a terminal path is
required unless you opt into discovery when no path is supplied. Pass it via
--terminal-path, config terminal_path, or $MT5_TERMINAL_PATH.
--dry-run generates INIs without resolving or launching a terminal and needs
no terminal path. Never commit real personal paths — pass the config at run
time. Defaults already encode the agreed settings (2020.01.01→2026.06.30, H1,
Model=4, 10000 USD, 1:100, gates and thresholds).
Terminal selection is opt-in. For safety, the pipeline never auto-discovers
terminal64.exeunder Program Files. On a machine that also trades live, the auto-detected terminal is often the broker's live terminal; the generated INI has noLogin, so it wakes on whatever account was last used, andShutdownTerminal=1closes it at the end. To avoid silently borrowing (and closing) a live terminal, pass an explicit path to a portable, tester-only install (a/portablefolder with its own data directory). If you explicitly accept the risk,--allow-auto-detectrestores Program Files discovery only when no--terminal-path/$MT5_TERMINAL_PATH/config.terminal_pathis set.
Migration from the old precedence/fallback behavior: selection now uses
--terminal-path > config.terminal_path > MT5_TERMINAL_PATH; config outranks the environment variable. The highest-precedence supplied path must exist: a missing path is a hard error, with no fallback even with--allow-auto-detect. For example, a staleconfig.terminal_pathblocks a validMT5_TERMINAL_PATH. Fix or remove the stale config setting, or override it with a valid CLI path. Auto-detection is opt-in and applies only when no path is supplied.
Verify the generated Round-1 INIs without resolving or launching MT5. No terminal path or installed MT5 is required for this offline dry-run:
python3 skills/mt5-robot-tester/scripts/mt5_batch_tester.py \
--config my_config.json --output-dir reports/mt5_pipeline --dry-runpython3 skills/mt5-robot-tester/scripts/mt5_batch_tester.py \
--config my_config.json --output-dir reports/mt5_pipeline \
--terminal-path "C:\Program Files\MetaTrader 5\tester\terminal64.exe"Each bot flows R1 → R2 → R3 → finalist decision. Progress is written to
state.json and run.log after every step.
python3 skills/mt5-robot-tester/scripts/mt5_batch_tester.py \
--config my_config.json --output-dir reports/mt5_pipeline --resume \
--terminal-path "C:\Program Files\MetaTrader 5\tester\terminal64.exe"--resume skips completed bots and reuses finished rounds only while the
execution config, EA binary, and input .set fingerprints still match. A
changed period, symbol list, binary, or .set restarts that bot safely.
Launch a local dashboard to see the bots in each folder, each bot's phase and verdict, and a Launch button — no CLI needed after starting it:
python3 skills/mt5-robot-tester/scripts/dashboard.py \
--config my_config.json --output-dir reports/mt5_pipelineIt serves http://127.0.0.1:8765/ (opens automatically, localhost only). The
page auto-refreshes every 3 s: folder contents, per-bot phase (R1/R2/R3/done),
pass/fail verdicts, summary counts, and the live run.log. Start/stop requests
are limited to the exact local origin and require the per-server CSRF token.
leaderboard_<ts>.md / .json — ranking with verdict and key metrics.learnings.json / learnings.md — what the skill learned this loop
(parameter impact and symbol priors) under the configured output directory.mt5_reports/ and mt5_ini/ — raw MT5 reports and configs per bot/round.count_positive_profit(passes) ≥ round1_min_positive (default 5).best_symbol_profit ≥ round1_min_profit_multiple × deposit (default 3×).Fail → bot rejected (moved to in-testing).
Net profit ≥300%, worst DD <15% (larger of balance/equity %), positive months
70%, all years positive, LR Correlation ≥0.80, months-to-new-high ≤3. Reported per bot; the hard finalist gate is Round 3.
For each of the 5–6 inputs after MagicNumber (learned order first), optimize
that single parameter over [V×0.5, V×1.5] step V×0.05 (Optimization=1)
while fixing every other .set input, fix its best value, then continue. Run a
final backtest with the exact complete input set saved for a finalist.
evaluate_finalist: improved on Round 2 and profit ≥4× deposit and worst
DD ≤12%. → copied to finalists with <bot>.set.
learnings.json accumulates, per run: parameter average profit improvement
(reorders Round-3 optimization so the most impactful parameters are tried first),
symbol priors (how often each is a best pair), and per-bot verdicts. This makes
selection converge faster each loop. Deterministic — plain aggregate statistics.
leaderboard_<ts>.json — list of {name, verdict, best_symbol, r2_profit, final_profit, final_dd_pct, lr, reason} sorted finalists-first by profit.leaderboard_<ts>.md — same as a table.state.json — resumable per-bot/per-round checkpoint.scripts/mt5_batch_tester.py — pipeline orchestrator + INI builders (CLI).scripts/parse_mt5_optimization.py — optimization report (XML/HTML) parser +
Round-1 gate.scripts/parse_mt5_report.py — backtest report parser + balance-series metrics.scripts/mt5_learnings.py — cross-run learning store.scripts/mt5_common.py — shared parsing helpers (EN/ES headers, numbers).references/mt5-cli-reference.md — MT5 [Tester]/[TesterInputs] keys, enums,
report formats and caveats.assets/pipeline_config.template.json — config template with placeholders.Report= names because build 6061 ignores absolute report paths;
collect completed reports from the terminal data directory.Model=4) need broker tick data; it is slow — expect long runs.--resume reuses only fingerprint-
matching work and retries execution errors..blocked marker; verify the recorded PID/process tree
has exited before removing that marker manually.© tradermonty, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 18 other files (scripts, references, assets) in skills/mt5-robot-tester of tradermonty/claude-trading-skills.
Open the folder on GitHubat commit c8d58f0
Mt5 Robot Tester next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Mt5 Robot Tester this skilltradermonty/claude-trading-skills | 3k | — | ~2.6k | Automated safety check: Pass | MIT | |
| Tushare Datazillionare/zillionare | 322 | 2 repos | ~2.3k | Automated safety check: Pass | None | |
| Tradingview MCPatilaahmettaner/tradingview-mcp | 5k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Digital Oraclekomako-workshop/digital-oracle | 878 | — | ~5.9k | Automated safety check: Pass | MIT | |
| Polyclawchainstacklabs/polyclaw | 359 | 1 repos | ~2k | Automated safety check: Pass | Apache-2.0 | |
| Markdownfacioquo/stock-indicators-dotnet | 1.2k | — | ~812 | Automated safety check: Pass | Apache-2.0 |
zillionare/zillionare
面向中文自然语言的 Tushare 数据研究技能。用于把“看看这只股票最近怎么样”“帮我查财报趋势”“最近哪个板块最强”“北向资金在买什么”“给我导出一份行情数据”这类请求,转成可执行的数据获取、清洗、对比、筛选、导出与简要分析流程。适用于 A 股、指数、ETF/基金、财务、估值、资金流、公告新闻、板块概念与宏观数据等研究场景。
atilaahmettaner/tradingview-mcp
AI Trading Intelligence — live prices, 30+ technical indicators, backtesting (6 strategies), walk-forward overfitting detection, trade logs, equity curves, licensed news sentiment (Marketaux), and…
komako-workshop/digital-oracle
Answer prediction questions using market trading data, not opinions.
chainstacklabs/polyclaw
Trade on Polymarket via split + CLOB execution. An agent skill from chainstacklabs/polyclaw.
facioquo/stock-indicators-dotnet
Format and lint Markdown in this repository against GitHub Flavored Markdown and its markdownlint-cli2 configuration — headers, lists, code fences, callouts (VitePress containers on docs-site pages…
MobiusQuant/OpenMobius-skill
Provides multi-school trading Q&A, chart/OHLCV analysis, annotation, and fresh-market workflows covering ICT/SMC, ChanLun, Wyckoff, Price Action, Order Flow, VSA, and Elliott Wave.
tradermonty/claude-trading-skills
This skill should be used when analyzing weekly price charts for stocks, stock indices, cryptocurrencies, or forex pairs.
tradermonty/claude-trading-skills
Detect and analyze trending market themes across sectors. An agent skill from tradermonty/claude-trading-skills.
tradermonty/claude-trading-skills
Track investment theses across their lifecycle — from screening idea to closed position with postmortem.
tradermonty/claude-trading-skills
Critically review strategy drafts from edge-strategy-designer for edge plausibility, overfitting risk, sample size adequacy, and execution realism.
tradermonty/claude-trading-skills
This skill should be used when analyzing sector rotation patterns and market cycle positioning.
tradermonty/claude-trading-skills
Druckenmiller Strategy Synthesizer - Integrates 8 upstream skill outputs (Market Breadth, Uptrend Analysis, Market Top, Macro Regime, FTD Detector, VCP Screener, Theme Detector, CANSLIM Screener)…
Categories
Select the best MetaTrader 5 trading robots (Expert Advisors) that have not been backtested yet, by running the MT5 Strategy Tester from the command line through a 3-round pipeline. Mt5 Robot Tester is an agent skill from tradermonty/claude-trading-skills. Select the best MetaTrader 5 trading robots (Expert Advisors) that have not been backtested yet, by running the MT5 Strategy Tester from the command line through a 3-round pipeline.
Mt5 Robot Tester fits situations like: the user wants to batch-test MT5 bots/EAs; screen robots across all symbols; optimize EA parameters; move candidate bots to finalists based on profit.
Run `npx skills add tradermonty/claude-trading-skills --skill mt5-robot-tester -a claude-code`. Or copy the skill folder (skills/mt5-robot-tester in tradermonty/claude-trading-skills) into .claude/skills/mt5-robot-tester in your project. Claude Code loads it when a task matches its description.
Run `npx skills add tradermonty/claude-trading-skills --skill mt5-robot-tester -a codex`. Or copy the skill folder (skills/mt5-robot-tester in tradermonty/claude-trading-skills) into .agents/skills/mt5-robot-tester in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add tradermonty/claude-trading-skills --skill mt5-robot-tester -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/mt5-robot-tester, .gemini/skills/mt5-robot-tester, .github/skills/mt5-robot-tester and .opencode/skills/mt5-robot-tester in your project.
Going by SKILL.md and its folder, Mt5 Robot Tester needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Mt5 Robot Tester is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.6k tokens (SKILL.md is roughly 10k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.6k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Mt5 Robot Tester: Tushare Data (zillionare/zillionare, 322 stars), Tradingview MCP (atilaahmettaner/tradingview-mcp, 5k stars), Digital Oracle (komako-workshop/digital-oracle, 878 stars) and Polyclaw (chainstacklabs/polyclaw, 359 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
tradermonty (a GitHub user) maintains it in tradermonty/claude-trading-skills, which has 2,982 GitHub stars. The repository holds 74 skills in this directory. The repository was last updated on October 11, 2026.
Source: tradermonty/claude-trading-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.