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POLY//BOT — Polymarket Micro-Window Scalping Bot

High-frequency prediction market bot exploiting odds drift and delta-neutral positioning across 5-minute crypto windows on Polymarket.

All-Time P&L    → $1,436,159
Total Trades    → 37,781
Assets          → BTC · ETH · SOL · XRP
Strategy Type   → HFT Scalping + Delta Hedging
Status          → Live / Active 24/7

Overview

This bot does not predict whether crypto goes up or down.

Instead, it exploits the structural inefficiency of Polymarket's short-duration crypto markets — specifically the 5-minute and 15-minute "Up or Down" windows — by acting as a quasi market maker, capturing odds drift in real time, and delta-hedging both sides of a position.

The edge comes from speed, systematic laddering, and cross-asset correlation during low-liquidity hours (2–4AM ET) when human participants are thin and mispricings persist longer.


Live Profile

Field Value
Polymarket ID k9Q2mX4L8A7ZP3R
Profile polymarket.com/@k9Q2mX4L8A7ZP3R
Joined Dec 2025
All-Time P&L +$1,436,159
Profile Views 362.2K

Strategy

1. Market Focus

Exclusively targets short-duration crypto prediction markets:

  • 5-minute windows: 3:00–3:05, 3:05–3:10, 3:10–3:15 AM ET
  • 15-minute windows: 3:00–3:15 AM ET
  • Hourly candles: 3AM ET markets as secondary targets
  • Assets: BTC, ETH, SOL, XRP

2. Delta-Neutral Straddle

Simultaneously buys both Up and Down on the same market window near 50/50 odds. Not directional betting — captures the spread and profits when odds drift away from equilibrium post-entry.

3. Ladder / DCA Entry

Instead of single large orders, the bot places multiple incremental buys at successive price ticks:

50¢ → 51¢ → 52¢ → 53¢ → 54¢

Mimics limit-order accumulation, achieving better average entry under slippage.

4. Dynamic Delta Hedging

As the market moves, the bot sells the deteriorating side and doubles the winning side in real time. Classic delta management — cut the loser, ride the winner.

5. Odds-Gated Entries

Aggressiveness scales with proximity to 50/50:

Odds Range Position Size Risk
~50/50 (48¢–52¢) 80–130 shares Low
55/45 (45¢–55¢) 40–80 shares Medium
65/35 (35¢–65¢) 10–40 shares Medium
75/25 (25¢–75¢) 3–10 shares High
90/10 (10¢–90¢) 0–3 shares Extreme

The bot never chases deep favorites.

6. Dynamic Position Sizing

Size is inversely proportional to odds extremity — a Kelly-inspired approach that protects capital on asymmetric bets.

7. Correlated Multi-Asset Trading

BTC, ETH, SOL, and XRP are traded simultaneously in matching time windows. If BTC sentiment turns bearish, the bot positions Down across ETH/SOL/XRP in the same window.

8. Micro-Window Scalping

10–20+ trades within a single 5-minute window, scalping fractions of a cent in odds movement. Requires real-time orderbook monitoring at sub-second intervals.

9. Instant Capital Recycling

Resolved positions are redeemed immediately upon settlement. Zero idle cash. Capital is reinvested into the next window within seconds.

10. Low-Liquidity Hours

Operates most aggressively during 2–4AM ET — thin orderbooks mean inefficiencies persist longer and the bot can set price rather than take price.


Core Algorithm

# POLYMARKET SCALPING BOT — CORE LOGIC

ASSETS  = ["BTC", "ETH", "SOL", "XRP"]
WINDOWS = ["5min", "15min", "1hr"]

loop every_second():

  for asset in ASSETS:
    for window in upcoming_windows(asset):

      up_odds, down_odds = get_current_odds(asset, window)
      imbalance = abs(up_odds - 0.50)

      # ENTRY GATE: Only trade near 50/50
      if imbalance > 0.20: continue

      size = calc_size(imbalance)
      # size ∝ 1 / imbalance  (max ~120 shares @ 50/50)

      # STRADDLE: Buy both sides
      if not has_position(asset, window):
        ladder_buy("UP",   asset, window, size, ticks=5)
        ladder_buy("DOWN", asset, window, size, ticks=5)

      # DELTA HEDGE: Manage live positions
      else:
        pos_up, pos_down = get_positions(asset, window)
        delta = pos_up.value - pos_down.value

        if delta > THRESHOLD:      # Up side overweight
          sell("UP",   asset, window, qty=pos_up * 0.6)
          buy("DOWN",  asset, window, qty=size   * 1.5)

        elif delta < -THRESHOLD:   # Down side overweight
          sell("DOWN", asset, window, qty=pos_down * 0.6)
          buy("UP",    asset, window, qty=size     * 1.5)

      # CORRELATION: Cross-asset signal
      dominant_sentiment = get_btc_sentiment()
      if dominant_sentiment == "BEARISH":
        bias_down(assets=["ETH", "SOL", "XRP"], window=window)

  # SETTLEMENT: Redeem resolved markets instantly
  for market in get_resolved_markets():
    redeem(market)
    recycle_capital(market.payout)

Architecture

INPUTS
  ├── Polymarket CLOB WebSocket   (real-time odds feed)
  ├── Polygon wallet              (order signing via eth-account)
  └── BTC sentiment feed         (cross-asset correlation signal)

CORE MODULES
  ├── [1] OddsMonitor            → detect near-50/50 markets
  ├── [2] EntryEngine            → straddle + ladder buy both sides
  ├── [3] SizeCalculator         → Kelly-scaled by imbalance
  ├── [4] DeltaHedger            → sell drift, buy lag every tick
  ├── [5] CorrelationFilter      → BTC bias → ETH/SOL/XRP
  └── [6] SettlementEngine       → instant redeem + recycle capital

GUARD RAILS
  ├── Max 15% bankroll per 15-min window
  ├── Daily drawdown circuit breaker: 8%
  ├── Order timeout: cancel after 10s unfilled
  └── Win rate monitor: pause bot if below 52%

OUTPUTS
  ├── Trade log         (PostgreSQL)
  ├── Live P&L          (Grafana + InfluxDB)
  └── Profit            (compounding)

Tech Stack

Layer Tool
Language Python 3.11+ (asyncio)
API Client py-clob-client (official Polymarket SDK)
WebSockets websockets / aiohttp
Scheduling APScheduler
Database PostgreSQL
Wallet eth-account (Polygon MATIC signing)
Monitoring Grafana + InfluxDB
Hosting AWS EC2 us-east-1 (low latency)

Where The Edge Comes From

Odds Mean Reversion — On Polymarket's micro-window markets, odds frequently overshoot 50/50 as emotional traders pile in directionally. The bot fades these overreactions and collects when odds revert. Statistically robust on short windows where true probability is ~50/50.

Speed Advantage — Executes at sub-second speed during 2–4AM ET when human liquidity is thin. Effectively the fastest participant at those hours.

Laddered Execution — Splitting orders into ticks achieves a better average price than any single market order. On a thin orderbook this captures 1–3 cents of edge per position — compounding across 37,000+ trades is significant.

Instant Capital Recycling — Settling and redeploying within seconds means effective capital utilization is dramatically higher than it appears. A $5K bankroll recycled 6x per hour is equivalent to $30K deployed.


Risks

Directional Black Swan — Flash crash within a 5-minute window can affect both sides. Mitigate with per-window max-loss circuit breaker.

Liquidity Risk — If a market has no counterparty, orders hang. Implement 10-second order timeout and cancellation logic.

Competition / Edge Compression — As more bots discover these markets, the edge narrows. Monitor win rate weekly — below 52% means the market is efficient and the strategy needs adjustment.


Risk Parameters (Recommended Defaults)

MAX_BANKROLL_PER_WINDOW = 0.15   # 15% of total capital
DAILY_DRAWDOWN_LIMIT    = 0.08   # 8% → pause bot for 4 hours
ORDER_TIMEOUT_SECONDS   = 10     # cancel unfilled orders
MIN_WIN_RATE            = 0.52   # pause if win rate drops below
ENTRY_IMBALANCE_MAX     = 0.20   # only enter within 20% of 50/50
HEDGE_THRESHOLD         = 0.15   # delta trigger for rebalancing

Contact

Have questions, want to collaborate, or looking for consulting on prediction market automation?


Disclaimer

This repository is for educational purposes only. Prediction market trading involves significant financial risk. Past performance does not guarantee future results. Always trade with capital you can afford to lose.


Built with precision. Running 24/7. Verified on-chain.

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