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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...

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High Signal

High-frequency paper trading framework for crypto. Multi-indicator TA scoring (RSI/MACD/EMA/BB/OBV/StochRSI), position sizing (Kelly criterion), stop-loss ma...

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md

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.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. 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. 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. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 6 sections Open source page

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.

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
1 Docs
  • SKILL.md Primary doc