# Send VibeTrading to your agent Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually. ## Fast path - Download the package from Yavira. - Extract it into a folder your agent can access. - Paste one of the prompts below and point your agent at the extracted folder. ## Suggested prompts ### New install ```text I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete. ``` ### Upgrade existing ```text I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run. ``` ## Machine-readable fields ```json { "schemaVersion": "1.0", "item": { "slug": "vibetrading", "name": "VibeTrading", "source": "tencent", "type": "skill", "category": "开发工具", "sourceUrl": "https://clawhub.ai/crabbytt/vibetrading", "canonicalUrl": "https://clawhub.ai/crabbytt/vibetrading", "targetPlatform": "OpenClaw" }, "install": { "downloadUrl": "/downloads/vibetrading", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=vibetrading", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "packageFormat": "ZIP package", "primaryDoc": "SKILL.md", "includedAssets": [ "SKILL.md", "references/api-details.md" ], "downloadMode": "redirect", "sourceHealth": { "source": "tencent", "status": "healthy", "reason": "direct_download_ok", "recommendedAction": "download", "checkedAt": "2026-05-07T17:22:31.273Z", "expiresAt": "2026-05-14T17:22:31.273Z", "httpStatus": 200, "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=afrexai-annual-report", "contentType": "application/zip", "probeMethod": "head", "details": { "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=afrexai-annual-report", "contentDisposition": "attachment; filename=\"afrexai-annual-report-1.0.0.zip\"", "redirectLocation": null, "bodySnippet": null }, "scope": "source", "summary": "Source download looks usable.", "detail": "Yavira can redirect you to the upstream package for this source.", "primaryActionLabel": "Download for OpenClaw", "primaryActionHref": "/downloads/vibetrading" }, "validation": { "installChecklist": [ "Use the Yavira download entry.", "Review SKILL.md after the package is downloaded.", "Confirm the extracted package contains the expected setup assets." ], "postInstallChecks": [ "Confirm the extracted package includes the expected docs or setup files.", "Validate the skill or prompts are available in your target agent workspace.", "Capture any manual follow-up steps the agent could not complete." ] } }, "links": { "detailUrl": "https://openagent3.xyz/skills/vibetrading", "downloadUrl": "https://openagent3.xyz/downloads/vibetrading", "agentUrl": "https://openagent3.xyz/skills/vibetrading/agent", "manifestUrl": "https://openagent3.xyz/skills/vibetrading/agent.json", "briefUrl": "https://openagent3.xyz/skills/vibetrading/agent.md" } } ``` ## Documentation ### vibetrading Agent-first crypto trading framework. Strategies are Python functions decorated with @vibe that call sandbox functions (get_perp_price, long, short, etc.). Same code runs in backtest and live. ### Install pip install vibetrading # Core pip install "vibetrading[hyperliquid]" # + Hyperliquid live trading pip install "vibetrading[dev]" # + pytest, ruff ### 1. Write a Strategy import math from vibetrading import vibe, get_perp_price, get_perp_position, get_perp_summary from vibetrading import set_leverage, long, reduce_position, get_futures_ohlcv from vibetrading.indicators import rsi @vibe(interval="1h") def my_strategy(): price = get_perp_price("BTC") if math.isnan(price): return position = get_perp_position("BTC") if position and position.get("size", 0) != 0: pnl = (price - position["entry_price"]) / position["entry_price"] if pnl >= 0.03 or pnl <= -0.02: reduce_position("BTC", abs(position["size"])) return ohlcv = get_futures_ohlcv("BTC", "1h", 20) if ohlcv is None or len(ohlcv) < 15: return if rsi(ohlcv["close"]).iloc[-1] < 30: summary = get_perp_summary() margin = summary.get("available_margin", 0) if margin > 100: set_leverage("BTC", 3) qty = (margin * 0.1 * 3) / price if qty * price >= 15: long("BTC", qty, price, order_type="market") ### 2. Backtest import vibetrading.backtest results = vibetrading.backtest.run(code, interval="1h", slippage_bps=5) m = results["metrics"] # Keys: total_return, sharpe_ratio, sortino_ratio, calmar_ratio, max_drawdown, # win_rate, profit_factor, expectancy, number_of_trades, cagr, etc. ### 3. Deploy Live import vibetrading.live await vibetrading.live.start( code, exchange="hyperliquid", api_key="0xWalletAddress", api_secret="0xPrivateKey", interval="1m", ) ### Strategy Rules Every strategy must: Import and use @vibe or @vibe(interval="1h") decorator Guard against math.isnan(price) — prices are NaN before data loads Check position before entering (avoid stacking) Have both take-profit and stop-loss exits Check margin > 50 and qty * price >= 15 before trading Order types: "market" (fills immediately + slippage) or "limit" (fills at price). ### Sandbox Functions Data: get_perp_price(asset), get_spot_price(asset), get_futures_ohlcv(asset, interval, limit), get_spot_ohlcv(asset, interval, limit), get_funding_rate(asset), get_open_interest(asset), get_current_time(), get_supported_assets() Account: get_perp_summary() → {available_margin, total_margin, ...}, get_perp_position(asset) → {size, entry_price, pnl, leverage} or None, my_spot_balance(asset?), my_futures_balance() Trading: long(asset, qty, price, order_type="market"), short(asset, qty, price, order_type="market"), buy(asset, qty, price), sell(asset, qty, price), reduce_position(asset, qty), set_leverage(asset, leverage) ### Indicators from vibetrading.indicators import sma, ema, rsi, bbands, atr, macd, stochastic, vwap All take pandas Series, return pandas Series. Pure pandas — no dependencies. FunctionSignatureReturnsrsirsi(close, period=14)Series (0-100)bbandsbbands(close, period=20, std=2.0)(upper, middle, lower)macdmacd(close, fast=12, slow=26, signal=9)(macd_line, signal, histogram)atratr(high, low, close, period=14)Seriesstochasticstochastic(high, low, close, k=14, d=3)(%K, %D) ### Position Sizing from vibetrading.sizing import kelly_size, fixed_fraction_size, volatility_adjusted_size, risk_per_trade_size kelly_size(win_rate, avg_win, avg_loss, balance, fraction=0.5) — half-Kelly default risk_per_trade_size(balance, risk_pct, stop_distance, price) — risk-based ### Templates from vibetrading.templates import momentum, mean_reversion, grid, dca, multi_momentum code = momentum() # Returns valid strategy code string ### AI Generation import vibetrading.strategy code = vibetrading.strategy.generate("BTC RSI oversold entry, 3x leverage", model="claude-sonnet-4-20250514") result = vibetrading.strategy.validate(code) # Static analysis report = vibetrading.strategy.analyze(results, strategy_code=code) # LLM analysis Requires ANTHROPIC_API_KEY or OPENAI_API_KEY in environment. ### Comparing Strategies import vibetrading.compare results = vibetrading.compare.run({"RSI": code1, "MACD": code2}, slippage_bps=5) vibetrading.compare.print_table(results) df = vibetrading.compare.to_dataframe(results) ### Data Download import vibetrading.tools from datetime import datetime, timezone data = vibetrading.tools.download_data( ["BTC", "ETH", "SOL"], exchange="binance", interval="1h", start_time=datetime(2025, 1, 1, tzinfo=timezone.utc), end_time=datetime(2025, 6, 1, tzinfo=timezone.utc), ) results = vibetrading.backtest.run(code, data=data, slippage_bps=5) ### Exchange Credentials Store in .env.local (gitignored): Exchangeapi_keyapi_secretExtraHyperliquidWallet address 0x...Private key 0x...—ParadexStarkNet public keyStarkNet private keyaccount_address=LighterAPI keyAPI secret—AsterAPI keyAPI secretuser_address= ### Common Patterns For detailed API docs, strategy patterns, and exchange-specific setup: see references/api-details.md. ## Trust - Source: tencent - Verification: Indexed source record - Publisher: crabbytt - Version: 1.0.1 ## Source health - Status: healthy - Source download looks usable. - Yavira can redirect you to the upstream package for this source. - Health scope: source - Reason: direct_download_ok - Checked at: 2026-05-07T17:22:31.273Z - Expires at: 2026-05-14T17:22:31.273Z - Recommended action: Download for OpenClaw ## Links - [Detail page](https://openagent3.xyz/skills/vibetrading) - [Send to Agent page](https://openagent3.xyz/skills/vibetrading/agent) - [JSON manifest](https://openagent3.xyz/skills/vibetrading/agent.json) - [Markdown brief](https://openagent3.xyz/skills/vibetrading/agent.md) - [Download page](https://openagent3.xyz/downloads/vibetrading)