hft-paper-trader
High-frequency paper trading framework for crypto. Multi-indicator TA scoring (RSI/MACD/EMA/BB/OBV/StochRSI), position sizing (Kelly criterion), stop-loss management, and trade ledger. Targets 300+ trades/day at 0.05% risk per trade. Use for paper trading, backtesting trading logic, HFT simulation, or building an autonomous trading agent.
DeepseekModel
官方收录技能
质量 良好 · 64
v1.0.0
获取
https://deepseekmodel.com/api/download.php?id=modbender-skill-library-mcp-data-hft-paper-trader-skill-md&format=skill
下载 .skill
标准格式，含 system_prompt 与 model_config，导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name hft-paper-trader version 1.0.0 description High-frequency paper trading framework for crypto. Multi-indicator TA scoring (RSI/MACD/EMA/BB/OBV/StochRSI), position sizing (Kelly criterion), stop-loss management, and trade ledger. Targets 300+ trades/day at 0.05% risk per trade. Use for paper trading, backtesting trading logic, HFT simulation, or building an autonomous trading agent. author JamieRossouw tags ["trading","paper-trading","hft","crypto","kelly","backtesting","autonomous-agent"] HFT Paper Trader — Autonomous Crypto Trading Framework A complete high-frequency paper trading system for building and testing autonomous crypto trading agents. Architecture Market Data (Binance public API) ↓ TA Engine (RSI + MACD + EMA + BB + OBV + StochRSI) ↓ Signal Score (-10 to +10) ↓ Kelly Position Sizer (0.05% risk per trade) ↓ Paper Portfolio Manager (PORTFOLIO.json) ↓ Trade Ledger (LEDGER.csv) Features Multi-indicator confluence : 7 indicators combined into one score OBV divergence detection : hidden accumulation/distribution Quarter-Kelly sizing : conservative risk management Drawdown controls : auto-pause at 2% daily NAV Full audit trail : every trade logged with entry/stop/target/outcome Self-improvement loop : lessons.md updated after each loss Usage Use hft-paper-trader to run TA on BTC and place a paper trade Use hft-paper-trader to check portfolio performance Use hft-paper-trader to scan the watchlist and trade all signals Watchlist BTC ETH SOL XRP TRX DOGE ADA AVAX BNB LINK LTC SUI ARB OP NEAR DOT ATOM UNI MATIC Performance Binance paper NAV: $748+ on $750 starting capital. Daily target: 100+ trades.
Agent 识别该技能的关键词，点击任意一个即可复制。
该技能未提供触发词。
下载的 .skill 包内含以下字段。
| 字段 | 说明 |
|---|---|
| format | 格式标识（skill/v1） |
| skill_id | 技能唯一 ID |
| name | 技能名称 |
| version | 版本号 |
| description | 技能描述 |
| category | 所属分类（数组） |
| trigger_words | 触发词列表 |
| tags | 标签列表 |
| source | 来源标识 |
| source_url | 来源链接（本页地址） |
| exported_at | 导出时间（每次下载生成） |
| system_prompt | 系统提示词正文 |
| model_config | 模型参数：provider / model / temperature / max_tokens / top_p |
| examples | 示例 |
| install_guide | 各平台导入说明（Coze / Dify / Claude / 自定义框架） |
