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HFT Paper Trader — Autonomous Crypto Framework
by
JamieRossouw
· GitHub ↗
· v1.0.0
855
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0
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2
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1
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Install in OpenClaw
/install hft-paper-trader
Description
High-frequency paper trading framework for crypto. Multi-indicator TA scoring (RSI/MACD/EMA/BB/OBV/StochRSI), position sizing (Kelly criterion), stop-loss ma...
README (SKILL.md)
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)
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TA Engine (RSI + MACD + EMA + BB + OBV + StochRSI)
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Signal Score (-10 to +10)
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Kelly Position Sizer (0.05% risk per trade)
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Paper Portfolio Manager (PORTFOLIO.json)
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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.
Usage Guidance
This SKILL.md looks like a README, not runnable code. Do not install it expecting an out-of-the-box HFT simulator. Before trusting it, ask the publisher for: 1) the actual implementation files or a reproducible install/run procedure; 2) specific Binance endpoints used and whether any API keys or testnet credentials are required; 3) a verifiable homepage or source repository and author identity; 4) exact file IO behavior (where PORTFOLIO.json / LEDGER.csv are stored); and 5) whether the agent will be allowed to autonomously fetch/run external code. If you cannot obtain those, treat the skill as documentation only and avoid giving it autonomous execution rights or any secrets.
Capability Analysis
Type: OpenClaw Skill
Name: hft-paper-trader
Version: 1.0.0
The skill bundle describes a high-frequency paper trading framework. The `SKILL.md` file outlines its architecture, features, and usage, which are all consistent with a legitimate trading simulation tool. It mentions interacting with the Binance public API and managing local files (`PORTFOLIO.json`, `LEDGER.csv`, `lessons.md`) for state and logging, which are expected behaviors. There is no evidence of prompt injection, data exfiltration, malicious execution, persistence mechanisms, or any other harmful intent in the provided content.
Capability Assessment
Purpose & Capability
The name/description promise a complete HFT paper-trading framework (multi-indicator TA engine, Kelly sizing, ledger, auto-pause, 300+ trades/day). However there are no code files, no install spec, no required binaries, and no declared environment variables. A legitimate framework would normally include code or a clear install/runtime plan; this skill provides none, which is incoherent with its stated capabilities.
Instruction Scope
The SKILL.md is high-level and vague: it references a 'hft-paper-trader' tool and Binance public API but gives no concrete commands, endpoints, or code. It tells the agent to 'Use hft-paper-trader' without specifying how. That grants the agent broad discretion (it could try to invent, download, or execute code) and is insufficient as a runtime instruction set.
Install Mechanism
There is no install spec (instruction-only). This is low technical risk by itself, but unexpected for a capability that claims complex, high-throughput behaviour — the absence of any code or install instructions is itself a red flag about whether the skill is what it claims to be.
Credentials
The skill declares no required environment variables or credentials. That could be legitimate if it only reads public market data, but a real paper-trading HFT framework often needs API keys (for paper/polygon/testnet endpoints or exchange test APIs), configuration, or persistent storage details. The lack of declared secrets or config is disproportionate to the described functionality.
Persistence & Privilege
The skill does not request persistent privileges (always:false), does not modify other skills, and has no install actions. There is no evidence it will persist or escalate privileges on its own.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install hft-paper-trader - After installation, invoke the skill by name or use
/hft-paper-trader - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release: full HFT paper trading framework. 7-indicator TA engine, Kelly sizing, auto stop-loss, audit trail, self-improvement loop.
Metadata
Frequently Asked Questions
What is HFT Paper Trader — Autonomous Crypto Framework?
High-frequency paper trading framework for crypto. Multi-indicator TA scoring (RSI/MACD/EMA/BB/OBV/StochRSI), position sizing (Kelly criterion), stop-loss ma... It is an AI Agent Skill for Claude Code / OpenClaw, with 855 downloads so far.
How do I install HFT Paper Trader — Autonomous Crypto Framework?
Run "/install hft-paper-trader" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is HFT Paper Trader — Autonomous Crypto Framework free?
Yes, HFT Paper Trader — Autonomous Crypto Framework is completely free (open-source). You can download, install and use it at no cost.
Which platforms does HFT Paper Trader — Autonomous Crypto Framework support?
HFT Paper Trader — Autonomous Crypto Framework is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created HFT Paper Trader — Autonomous Crypto Framework?
It is built and maintained by JamieRossouw (@jamierossouw); the current version is v1.0.0.
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