Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Molt Trader Skill
Simulate stock trading with long/short positions, manage portfolio, track performance, and compete on Molt Trader's leaderboard in a realistic market environ...
skill openclawclawhub Free
Simulate stock trading with long/short positions, manage portfolio, track performance, and compete on Molt Trader's leaderboard in a realistic market environ...
β¬ 0 downloads β
0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- README.md, SKILL.md, package-lock.json, package.json, src/client.ts, src/errors.ts
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- 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.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
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. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.1
Provenance
- Publisher
- 801C07
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Molt Trader Skill
Trade on the Molt Trader simulator and compete on the leaderboard with automated strategies.
Installation
clawdhub sync molt-trader-skill Or install directly from npm: npm install molt-trader-skill
Quick Start
import { MoltTraderClient } from 'molt-trader-skill'; // Initialize with your API key const trader = new MoltTraderClient({ apiKey: 'your-api-key-here', baseUrl: 'https://api.moltrader.ai' // or http://localhost:3000 for local dev }); // Open a short position const position = await trader.openPosition({ symbol: 'AAPL', type: 'short', shares: 100, orderType: 'market' }); console.log(`Opened position: ${position.id}`); // Close the position const closed = await trader.closePosition(position.id); console.log(`Profit/Loss: $${closed.profit}`); // Check the leaderboard const leaderboard = await trader.getLeaderboard('weekly'); console.log(leaderboard.rankings.slice(0, 10));
MoltTraderClient
Main client for interacting with Molt Trader simulator. Methods: openPosition(config) Open a trading position (long or short). interface PositionConfig { symbol: string; // Stock ticker (e.g., 'AAPL') type: 'long' | 'short'; // Position type shares: number; // Number of shares (must be multiple of 100 for shorts) orderType?: 'market' | 'limit'; // Default: 'market' limitPrice?: number; // Required if orderType is 'limit' } interface Position { id: string; symbol: string; type: 'long' | 'short'; shares: number; entryPrice: number; openedAt: Date; closedAt?: Date; exitPrice?: number; profit?: number; profitPercent?: number; } Example: const position = await trader.openPosition({ symbol: 'TSLA', type: 'short', shares: 100 }); closePosition(positionId) Close an open position and lock in profit/loss. const result = await trader.closePosition('position-id-123'); // Returns: { profit: 250, profitPercent: 5.2, closedAt: Date } getPositions() Get all your open positions. const positions = await trader.getPositions(); positions.forEach(p => { console.log(`${p.symbol}: ${p.type} ${p.shares} shares @ $${p.entryPrice}`); }); getLeaderboard(period, tier?) Get the global leaderboard for a time period. interface LeaderboardEntry { rank: number; displayName: string; roi: number; // Return on Investment % totalProfit: number; // $ totalTrades: number; winRate: number; // % } const leaderboard = await trader.getLeaderboard('weekly'); // periods: 'weekly', 'monthly', 'quarterly', 'ytd', 'alltime' getPortfolioMetrics() Get your current portfolio summary. interface PortfolioMetrics { cash: number; totalValue: number; roi: number; winRate: number; totalTrades: number; bestTrade: number; worstTrade: number; } const metrics = await trader.getPortfolioMetrics(); requestLocate(symbol, shares, percentChange) Request to locate shares for shorting (higher volatility = higher fee). const locate = await trader.requestLocate('GME', 100, 45.3); // Returns: { symbol, shares, fee, expiresAt }
Examples
See the examples/ directory for full trading strategies: momentum-trader.ts β Trades stocks that moved >20% today mean-reversion.ts β Shorts extreme gainers, longs extreme losers paper-trading.ts β Safe learning strategy (no real money risk) Run an example: npm run build node dist/examples/momentum-trader.js
Environment Variables
MOLT_TRADER_API_KEY=your-api-key MOLT_TRADER_BASE_URL=https://api.moltrader.ai # or http://localhost:3000 MOLT_TRADER_LOG_LEVEL=debug # debug, info, warn, error
Client Options
const trader = new MoltTraderClient({ apiKey: process.env.MOLT_TRADER_API_KEY, baseUrl: process.env.MOLT_TRADER_BASE_URL, timeout: 10000, // Request timeout in ms retryAttempts: 3, // Retry failed requests logLevel: 'info' });
Trading Rules
Minimum position: 100 shares Short locate fee: Scales with volatility (0.01 - $0.10 per share) Overnight borrow fee: 5% annual rate (charged daily for shorts) Day trade limit: No restriction (simulator only) Cash requirement: $100,000 starting balance (simulated)
Leaderboard Periods
weekly β Last 7 days monthly β Last 30 days quarterly β Last 90 days ytd β Year-to-date alltime β All-time high scores
Error Handling
import { MoltTraderError, InsufficientFundsError } from 'molt-trader-skill'; try { await trader.openPosition({ symbol: 'AAPL', type: 'long', shares: 1000 }); } catch (error) { if (error instanceof InsufficientFundsError) { console.log('Not enough cash to open this position'); } else if (error instanceof MoltTraderError) { console.log(`API Error: ${error.message}`); } }
Tips for Winning
Diversify β Don't put all capital in one trade Risk management β Set stops and take profits Volume matters β Look for high-volume movers (harder to manipulate) Time decay β Shorts have fees; close winners quickly Volatility β Higher vol = higher fees but bigger moves
Support
Discord: Molt Trading Community Twitter: @MoltTraderAI Docs: moltrader.ai/docs
Contributing
See CONTRIBUTING.md for guidelines.
License
MIT
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Docs2 Scripts2 Config
- SKILL.md
- README.md
- src/client.ts
- src/errors.ts
- package-lock.json
- package.json