← All skills
Tencent SkillHub · AI

Polymarket Trader

Build and analyze a BTC 1h Up/Down trading strategy anchored to Binance BTCUSDT, applying edge thresholds, regime filters, and detailed trade validation.

skill openclawclawhub Free
0 Downloads
0 Stars
0 Installs
0 Score
High Signal

Build and analyze a BTC 1h Up/Down trading strategy anchored to Binance BTCUSDT, applying edge thresholds, regime filters, and detailed trade validation.

⬇ 0 downloads ★ 0 stars Unverified but indexed

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
references/strategy.md, scripts/binance_klines.py, scripts/binance_regime.py, scripts/explain_fills.py, 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 7 sections Open source page

Polymarket Trader

Maintain a profitable BTC 1h Up/Down strategy by anchoring decisions to Binance BTCUSDT (the resolution source) and enforcing anti-churn/risk rules.

Workflow (use this order)

Confirm the market type This skill is optimized for bitcoin-up-or-down-* 1h markets (Binance 1H open vs close). Compute the anchor signal (Binance) Fetch 1m closes + the 1h open for the relevant hour. Compute volatility (sigma) and time-to-expiry. Convert to fair probability for Up/Down. Trade only when there is measurable edge Enter only if edge = fair_prob - market_price exceeds a threshold. Add a directional guardrail: do not bet against the sign of the move when |z| is non-trivial. Exit using the right logic for the entry mode Model entries: exit on edge decay / model flip; hold to preclose when confidence is extreme. Mean-reversion entries: exit on reversion targets (not model-tp), with strict churn limits. Validate with logs Every suspected “nonsense trade” must be explained via: reason / entry_mode Binance-derived fair probability + z whether the correct exit block fired

Bundled scripts

All scripts are designed to be run from the OpenClaw workspace.

1) Fetch Binance klines

{baseDir}/scripts/binance_klines.py Pulls klines and prints JSON.

2) Dump/stabilization and regime metrics

{baseDir}/scripts/binance_regime.py Computes ret5/ret15/slope10 + simple “stabilized” boolean.

3) Explain fills (events.jsonl) with Binance context

{baseDir}/scripts/explain_fills.py Reads paperbot events.jsonl and prints a concise table for the last N fills: side/outcome/px/reason estimated fair_up + z “against trend?” flag

References

{baseDir}/references/strategy.md — the math model, parameters, and tuning checklist.

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
3 Scripts2 Docs
  • SKILL.md Primary doc
  • references/strategy.md Docs
  • scripts/binance_klines.py Scripts
  • scripts/binance_regime.py Scripts
  • scripts/explain_fills.py Scripts