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
Curated skill
Quality Good · 64
v1.0.0
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https://deepseekmodel.com/api/download.php?id=modbender-skill-library-mcp-data-hft-paper-trader-skill-md&format=skill
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Standard format with system_prompt and model_config, ready for any agent framework
The actual content of the system_prompt field in the .skill file.
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.
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The downloaded .skill package contains the following fields.
| Field | Description |
|---|---|
| format | Format tag (skill/v1) |
| skill_id | Unique skill ID |
| name | Skill name |
| version | Version |
| description | Description |
| category | Categories (array) |
| trigger_words | Trigger words |
| tags | Tags |
| source | Source |
| source_url | Source URL (this page) |
| exported_at | Exported at (set per download) |
| system_prompt | System prompt body |
| model_config | Model config: provider / model / temperature / max_tokens / top_p |
| examples | Examples |
| install_guide | Import guide for Coze / Dify / Claude / custom frameworks |
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