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Install in OpenClaw
/install hft-paper-trader-pro
Description
High-frequency paper trading framework for crypto. Multi-indicator TA scoring (RSI/MACD/EMA/BB/OBV/StochRSI), dual-regime filter (15m fast + 4h macro), posit...
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)
↓
TA Engine (RSI + MACD + EMA + BB + OBV + StochRSI)
↓
Signal Score (-10 to +10)
↓
Dual Regime Filter (15m EMA8/21 fast + 4h EMA20/50 macro)
↓
Kelly Position Sizer (3% max risk per trade)
↓
Paper Portfolio Manager (portfolio.json)
↓
Trade Ledger (journal.json) + Auto-Observation Logger (observations.md)
Features
- Multi-indicator confluence: 7 indicators combined into one score
- Dual regime filter: 15m EMA8/21 (fast) gates entries alongside 4h EMA20/50 (macro) — prevents trading against short-term trend
- OBV divergence detection: hidden accumulation/distribution
- Quarter-Kelly sizing: conservative risk management
- Correct SL placement: Math.max caps risk at 3% — fixes bug where SL ran 5–11% instead of 3%
- Drawdown controls: auto-pause at 2% daily NAV
- Full audit trail: every trade logged with entry/stop/target/outcome
- Auto-observation logging: losses and SL hits automatically appended to
observations.mdfor strategy learning - Self-improvement loop: lessons captured 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
Use hft-paper-trader to check today's observations and lessons
Regime Filter Logic
Entries are only allowed when BOTH regimes are bullish:
- Fast (15m): EMA8 > EMA21
- Macro (4h): EMA20 > EMA50
This gates out counter-trend entries that otherwise pass signal scoring. When either regime is bearish, new positions are blocked regardless of score.
Stop-Loss Placement (Fixed v1.1.0)
// CORRECT — caps SL at 3% below entry
stopLoss = entry * (1 - MAX_RISK); // Math.max not used here — direct cap
// Bug in v1.0.0 — Math.min let SL run to 5-11%
// Fix: use direct percentage cap on entry price, not min of wick distance
Watchlist
BTC ETH SOL XRP TRX DOGE ADA AVAX BNB LINK LTC SUI ARB OP NEAR DOT ATOM UNI MATIC
File Layout
trading/
paper-dashboard/portfolio.json ← live portfolio state
journal.json ← full trade ledger
observations.md ← auto-logged trade lessons
Performance
Starting capital: $1,000. Runs hourly (XX:01 UTC). Max 5 concurrent positions at 10% each.
Usage Guidance
Do not install or run this skill without additional verification. Key actions to take before trusting it: 1) Ask the publisher for the full source code or a canonical repository/homepage and confirm the owner identity (the registry metadata, SKILL.md, and _meta.json contain inconsistent owner/slug/version values). 2) Request explicit details about any external endpoints used by the 'self-improvement loop' (where lessons are sent/stored); disallow any unexpected network exfiltration. 3) Run the skill in an isolated environment (no access to sensitive network segments or credentials) and monitor outbound connections; ensure it only calls public Binance endpoints you expect. 4) Inspect any implementation for network calls, hardcoded URLs, or code that reads other credentials or system files. 5) Do not connect any real exchange accounts or real funds — this is described as paper trading. 6) If you need autonomous execution, prefer skills with a public repo, clear provenance, and reproducible builds; if the author can’t or won’t provide source/clarity, treat the skill as untrusted.
Capability Analysis
Type: OpenClaw Skill
Name: hft-paper-trader-pro
Version: 1.1.0
The skill bundle contains metadata and instructions (SKILL.md) for an autonomous crypto paper trading agent. It outlines logic for technical analysis, risk management using the Kelly criterion, and trade logging. No executable code, suspicious network calls, or data exfiltration attempts were identified; the instructions are consistent with the stated purpose of simulating high-frequency trading using public Binance API data.
Capability Assessment
Purpose & Capability
SKILL.md describes a coherent paper-trading framework (TA indicators, regime filters, file-based portfolio/ledger). That functionality does not require extra credentials or installers, so the declared lack of required env vars/install is plausible. However registry metadata (slug/version/owner) does not match _meta.json and SKILL.md (registry lists 'hft-paper-trader-pro' v1.1.0 while _meta.json and SKILL.md show different slugs/versions/owner), and there is no homepage or source URL — this provenance mismatch is unusual and unexplained.
Instruction Scope
The SKILL.md is instruction-only and describes reading market data from 'Binance public API' and writing local files (portfolio.json, journal.json, observations.md). Those actions are consistent with paper trading. But instructions are high-level and vague (no explicit endpoints, no commands, no code), and the 'self-improvement loop' / 'lessons captured after each loss' is underspecified (no target for telemetry or model training). Vague instructions can give an agent broad discretion to call external endpoints or aggregate and transmit data if implemented later.
Install Mechanism
No install spec and no code files — lowest-risk packaging pattern. Nothing will be written to disk by an installer at install time. The security surface is entirely the SKILL.md instructions when the agent runs.
Credentials
The skill declares no required environment variables or credentials, which is reasonable for public-market-data-only paper trading. However, SKILL.md references 'Binance public API' (some Binance endpoints require keys/rate-limited access) and an autonomous/self-improvement loop that might need remote storage or credentials; the absence of any declared env vars or endpoints leaves ambiguity about what secrets (if any) might be needed or used by an implementation.
Persistence & Privilege
Flags are default (always:false, user-invocable:true, model invocation allowed). The skill will not be force-included system-wide. It will be able to act autonomously if invoked, which is normal for skills; this combination alone is not a red flag.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install hft-paper-trader-pro - After installation, invoke the skill by name or use
/hft-paper-trader-pro - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.1.0
- Added a detailed SKILL.md with expanded architecture, feature set, and usage instructions.
- Introduced a multi-indicator TA engine combining 7 indicators for signal scoring.
- Implemented a dual-regime filter (15m EMA8/21 and 4h EMA20/50) to gate entries.
- Fixed stop-loss logic: SL now hard-capped at 3% risk per trade (was 5–11% in v1.0.0).
- Enhanced risk management with Kelly position sizing and daily NAV drawdown pause.
- Improved trade journaling and automated observation logging for self-improvement.
Metadata
Frequently Asked Questions
What is HFT Paper Trader Pro?
High-frequency paper trading framework for crypto. Multi-indicator TA scoring (RSI/MACD/EMA/BB/OBV/StochRSI), dual-regime filter (15m fast + 4h macro), posit... It is an AI Agent Skill for Claude Code / OpenClaw, with 225 downloads so far.
How do I install HFT Paper Trader Pro?
Run "/install hft-paper-trader-pro" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is HFT Paper Trader Pro free?
Yes, HFT Paper Trader Pro is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does HFT Paper Trader Pro support?
HFT Paper Trader Pro is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created HFT Paper Trader Pro?
It is built and maintained by Zero2Ai (@zero2ai-hub); the current version is v1.1.0.
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