Tradingview MCP
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…
Guides a manual practice session in TradingView replay mode: set a chart, step through historical bars, take trades and review the P&L.
$ npx skills add tradesdontlie/tradingview-mcp --skill replay-practice -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install tradesdontlie/tradingview-mcp replay-practice --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/tradesdontlie/tradingview-mcp.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/replay-practice .claude/skills/replay-practice && 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 "replay-practice" agent skill from https://github.com/tradesdontlie/tradingview-mcp/tree/main/skills/replay-practice into .claude/skills/replay-practice/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "replay-practice", 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/tradesdontlie/tradingview-mcp/tree/main/skills/replay-practiceType 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 tradesdontlie/tradingview-mcp --skill replay-practice -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install tradesdontlie/tradingview-mcp replay-practice --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tradesdontlie/tradingview-mcp.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/replay-practice .agents/skills/replay-practice && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "replay-practice" agent skill from https://github.com/tradesdontlie/tradingview-mcp/tree/main/skills/replay-practice into .agents/skills/replay-practice/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "replay-practice", 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 tradesdontlie/tradingview-mcp --skill replay-practice -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install tradesdontlie/tradingview-mcp replay-practice --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tradesdontlie/tradingview-mcp.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/replay-practice .cursor/skills/replay-practice && 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 "replay-practice" agent skill from https://github.com/tradesdontlie/tradingview-mcp/tree/main/skills/replay-practice into .cursor/skills/replay-practice/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "replay-practice", 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/tradesdontlie/tradingview-mcp.git --path skills/replay-practice--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 tradesdontlie/tradingview-mcp --skill replay-practice -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install tradesdontlie/tradingview-mcp replay-practice --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tradesdontlie/tradingview-mcp.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/replay-practice .gemini/skills/replay-practice && 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 "replay-practice" agent skill from https://github.com/tradesdontlie/tradingview-mcp/tree/main/skills/replay-practice into .gemini/skills/replay-practice/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "replay-practice", 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 tradesdontlie/tradingview-mcp replay-practiceInstalls 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 tradesdontlie/tradingview-mcp --skill replay-practice -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/tradesdontlie/tradingview-mcp.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/replay-practice .github/skills/replay-practice && 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 "replay-practice" agent skill from https://github.com/tradesdontlie/tradingview-mcp/tree/main/skills/replay-practice into .github/skills/replay-practice/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "replay-practice", 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 tradesdontlie/tradingview-mcp --skill replay-practice -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install tradesdontlie/tradingview-mcp replay-practice --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tradesdontlie/tradingview-mcp.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/replay-practice .opencode/skills/replay-practice && 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 "replay-practice" agent skill from https://github.com/tradesdontlie/tradingview-mcp/tree/main/skills/replay-practice into .opencode/skills/replay-practice/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "replay-practice", 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.
replay-practiceGuides a manual practice session in TradingView replay mode: set a chart, step through historical bars, take trades and review the P&L.
Using tools from the tradingview-mcp server, the agent sets the symbol and timeframe, starts replay at a date you choose, pulls historical price data for context, adds any indicators you want and captures a screenshot of the starting chart.
It then advances one bar at a time or with autoplay, checks replay status after significant moves and narrates what happened, such as a breakout or a support test. When you spot an entry, it places a buy or sell in the replay account and confirms the position, then closes it on request.
At the end it reports total trades, wins and losses, net P&L and key lessons, takes a final screenshot and exits replay mode. Tips suggest stepping several bars at a time to find setups, slowing down for entry timing, and marking entries and exits with drawings.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit c05b8f5. 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.
No scripts in the folder and no shell commands in SKILL.md.
From 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.
TradingView Replay Practice loads about 446 tokens when it runs. Until then it costs about 43 tokens; SKILL.md has 225 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); files beside SKILL.md are not scanned.
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 225 words (~446 tokens).
“You are guiding the user through replay-mode practice trading on TradingView.”
Just SKILL.md in skills/replay-practice of tradesdontlie/tradingview-mcp.
Open the folder on GitHubat commit c05b8f5
We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in tradesdontlie/tradingview-mcp, which our catalogue first saw on October 7, 2026.
TradingView Replay Practice 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 |
|---|---|---|---|---|---|---|
| TradingView Replay Practice this skilltradesdontlie/tradingview-mcp | 6.8k | 2 repos | ~446 | Automated safety check: Pass | Custom licence | |
| Tradingview MCPatilaahmettaner/tradingview-mcp | 5k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Agentic Trading DeskOft3r/agentic-trading-desk | 306 | — | ~5.1k | Automated safety check: Pass | MIT | |
| Polymarket Tennislivetennisapi/livetennisapi-mcp | 152 | — | ~3k | Automated safety check: Pass | MIT | |
| Okx Sentiment Trackerdex-original/okx-agent-trade-kit | 110 | 1 repos | ~3.8k | Automated safety check: Pass | MIT | |
| Agentic Trading DeskOft3r/agentic-trading-desk | 306 | — | ~2.4k | Automated safety check: Pass | MIT |
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…
Oft3r/agentic-trading-desk
Personal trading desk for short-term technical analysis on stocks/ETFs via Robinhood MCP.
livetennisapi/livetennisapi-mcp
Build observe-only Polymarket and Kalshi tennis market tooling on the polymarket-tennis Python package (MIT) plus the Live Tennis API free tier.
dex-original/okx-agent-trade-kit
A skill your agent uses when the user asks about: 'any crypto news', 'latest news', 'market update', 'daily briefing', 'BTC news', 'ETH news', 'news on SOL', 'search SEC ETF', 'regulation news'…
Oft3r/agentic-trading-desk
Personal trading desk for short-term technical analysis on stocks/ETFs via Robinhood MCP.
qusong0627/QuantMind
Covers the Tiger Brokers OpenAPI Python SDK for market data, stock, futures and options trading, push subscriptions, a CLI and an MCP server, defaulting to paper trading.
tradesdontlie/tradingview-mcp
Scans a list of trading symbols in TradingView for setups, patterns or strategy results and reports them as a ranked comparison table.
tradesdontlie/tradingview-mcp
Runs a write, compile, fix and verify loop for TradingView Pine Script indicators and strategies, pushing code into the Pine Editor and checking it on the chart.
tradesdontlie/tradingview-mcp
Sets up a TradingView chart with a symbol, timeframe and indicators, marks key levels, takes a screenshot and reports price range, levels and overall bias.
tradesdontlie/tradingview-mcp
Builds a performance report for a backtested Pine Script strategy from TradingView data, covering metrics, trades, the equity curve and improvement ideas.
Works with
Categories
Guides a manual practice session in TradingView replay mode: set a chart, step through historical bars, take trades and review the P&L. Using tools from the tradingview-mcp server, the agent sets the symbol and timeframe, starts replay at a date you choose, pulls historical price data for context, adds any indicators you want and captures a screenshot of the starting chart.
TradingView Replay Practice fits situations like: practicing a trading setup on historical data; backtesting an idea manually, bar by bar; reviewing a practice session with win-loss and P&L figures.
Run `npx skills add tradesdontlie/tradingview-mcp --skill replay-practice -a claude-code`. Or copy the skill folder (skills/replay-practice in tradesdontlie/tradingview-mcp) into .claude/skills/replay-practice in your project. Claude Code loads it when a task matches its description.
Run `npx skills add tradesdontlie/tradingview-mcp --skill replay-practice -a codex`. Or copy the skill folder (skills/replay-practice in tradesdontlie/tradingview-mcp) into .agents/skills/replay-practice 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 tradesdontlie/tradingview-mcp --skill replay-practice -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/replay-practice, .gemini/skills/replay-practice, .github/skills/replay-practice and .opencode/skills/replay-practice in your project.
SKILL.md names no scripts, command-line tools or credentials: TradingView Replay Practice is instructions for the agent only. Our summary lists: TradingView Desktop connected through the tradingview-mcp server.
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. Review the folder before installing.
TradingView Replay Practice has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 446 tokens (SKILL.md is roughly 1.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with TradingView Replay Practice: Tradingview MCP (atilaahmettaner/tradingview-mcp, 5k stars), Agentic Trading Desk (Oft3r/agentic-trading-desk, 306 stars), Polymarket Tennis (livetennisapi/livetennisapi-mcp, 152 stars) and Okx Sentiment Tracker (dex-original/okx-agent-trade-kit, 110 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
tradesdontlie (a GitHub user) maintains it in tradesdontlie/tradingview-mcp, which has 6,769 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on July 28, 2026.
Source: tradesdontlie/tradingview-mcp on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.