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Building a Polymarket TWAP Momentum Price-Field Bot

#polymarket #twap #momentum #bot

Using token momentum, market structure, and TWAP timing to detect potential entries

Polymarket's move toward TWAP-based resolution changes how short-duration crypto markets can be analyzed.

Instead of simply asking:

"Is YES trading at $0.70?"

a trading system can ask:

Why did YES move to $0.70, and does the underlying market support that movement?

This is the idea behind a TWAP Momentum Price-Field Bot.

The Strategy

The bot continuously maintains a real-time state for each active market:

YES / NO price
Price momentum
Price velocity
Order-book depth
Bid/ask imbalance
Underlying price
TWAP state
Time remaining
Spread
Liquidity
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The goal is to detect a directional price field where multiple signals align.

For example:

YES

0.58 → 0.61 → 0.65 → 0.68 → 0.71

Underlying:      UP
TWAP state:       UP
Order book:       Buyer-supported
Momentum:         Strong
Time remaining:   35s
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Rather than buying simply because YES crossed 0.65, the bot evaluates whether the movement is supported by the broader market state.

Momentum Calculation

A basic momentum calculation can be:

momentum = current_price - price_n_seconds_ago
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Velocity adds the time dimension:

velocity = (
    current_price - previous_price
) / time_difference
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The system can also measure momentum persistence.

For example:

0.56
0.59
0.62
0.65
0.68
0.70
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is a very different signal from:

0.61
0.66
0.62
0.67
0.63
0.65
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The first sequence shows more consistent directional movement.

Example Signal

A simplified signal engine might look like:

def momentum_signal(market):

    if market.token_price < 0.65:
        return False

    if market.momentum < MIN_MOMENTUM:
        return False

    if market.momentum_duration < MIN_DURATION:
        return False

    if not market.underlying_confirms:
        return False

    if not market.twap_confirms:
        return False

    if market.spread > MAX_SPREAD:
        return False

    if market.liquidity < MIN_LIQUIDITY:
        return False

    return True
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The 0.65 level is only a filter. The actual signal comes from the combination of momentum, underlying data, TWAP state, order-book conditions, and timing.

Price Field Architecture

A practical implementation can separate the system into several services:

Polymarket WebSocket
        ↓
Market State Engine
        ↓
Momentum Calculator
        ↓
TWAP / Underlying Data
        ↓
Signal Engine
        ↓
Risk Manager
        ↓
Execution Engine
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The market-state engine maintains the latest information for each active slug, while the signal engine evaluates whether the current state satisfies the trading conditions.

This separation also makes backtesting and debugging easier.

Why Time Matters

The same token price can represent very different situations depending on the remaining time.

YES = 0.70

4 minutes remaining
        vs
20 seconds remaining
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A momentum strategy therefore needs to include time remaining as part of the signal.

The appropriate time windows and thresholds should come from historical testing rather than being hard-coded from assumptions.

Order-Book Confirmation

Token momentum becomes more useful when combined with market structure.

The bot can monitor:

Bid volume
Ask volume
Order-book imbalance
Depth near mid-price
Spread
Recent fills
Liquidity
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For example:

YES = 0.69

Bids:
0.69 → 120
0.68 → 180
0.67 → 240

Asks:
0.70 → 30
0.71 → 45
0.72 → 60
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A relatively thin ask side can allow aggressive buying to move the token quickly through several price levels.

However, the bot still needs to account for slippage and the possibility that the visible book changes before execution.

Risk Management

Momentum can reverse quickly, so execution should be separated from risk management.

Important controls include:

Maximum position size
Maximum market exposure
Maximum slippage
Maximum spread
Daily loss limit
Stale-data detection
WebSocket disconnect protection
Execution timeout
Price-reversal detection
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Stale-data protection is especially important. If the underlying feed stops updating while the Polymarket order book continues changing, the system should stop treating the signal as valid.

Backtesting

For each historical market, I would record:

Timestamp
YES / NO price
Underlying price
TWAP
Order book
Momentum
Time remaining
Signal
Entry price
Settlement result
Slippage
PnL
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Then test different thresholds and market regimes.

The objective is not to find a perfect number such as:

YES > 0.673
Momentum > 0.084
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The objective is to determine whether the signal remains robust outside the dataset used to develop it.

A useful development process is:

Historical backtest
        ↓
Market replay
        ↓
Paper trading
        ↓
Small live test
        ↓
Execution analysis
        ↓
Iteration
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The Core Idea

The TWAP Momentum Price-Field Bot combines several layers of market information:

Token Momentum
      +
Underlying Price
      +
TWAP State
      +
Order-Book Structure
      +
Time Remaining
      +
Execution Quality
      +
Risk Management
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The goal is not to predict every market correctly.

It is to systematically identify situations where the market is repricing quickly and determine whether that movement is supported by the underlying data and market structure.

That makes the strategy a useful framework for researching short-duration TWAP markets and building systematic trading infrastructure around them.

Explore the Code

I also maintain a Polymarket trading-bot repository for educational and development reference:

GitHub:

GitHub logo Benjam1nCup / Polymarket-trading-bot-python-V2

polymarket trading bot polymarket bot polymarket twap bot polymarket arbitrage bot polymarket trading bot polymarket bot polymarket twap bot polymarket arbitrage bot polymarket trading bot polymarket bot polymarket twap bot polymarket arbitrage bot polymarket trading bot polymarket bot polymarket twap bot polymarket arbitrage bot polymarket bot

Polymarket Trading Bot | Polymarket Arbitrage Bot | Polymarket TWAP Trading Bot

An open-source and Strong Strategy collection of Polymarket trading bot and Polymarket arbitrage bot and Polymarket TWAP trading bot in Python for high-performance automated trading on polymarket crypto 5min and 15min markets.

Polymarket-benjamincup-bot-dashboard

This repository is primarily intended for educational and research purposes. It includes strategy concepts, implementation approaches, and selected performance screenshots to help developers understand how different automated trading strategies can be designed and tested.

The repository does not provide a complete production-ready trading bot source code. Instead, it provides strategy descriptions and research materials that you can use as a foundation for developing your own system.

If you are interested in building a Polymarket Trading Bot, you can follow my tutorials and use the concepts in this repository to develop your own implementation.

For users who prefer a ready-to-deploy solution or require custom strategy development, commercial…


View on GitHub


For development, collaboration, or technical discussion:

Telegram:
https://t.me/BenjaminCup

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