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Benjamin-Cup
Benjamin-Cup

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Polymarket Trading Bot: End-Cycle Sniper Signal Confirmation, Entry & Real-Time Risk Management

#polymarket #architecture #tutorial #opensource

Short-duration Polymarket crypto markets can change quickly during the final minutes.

For my End-Cycle Sniper, I don't want the bot to simply wait for the last few seconds and buy whatever token looks like the winner.

Polymarket trading bot

Instead, the bot starts evaluating the market around 90 seconds before resolution.

The important idea is:

Don't just find the token that looks likely to win. Confirm the direction, enter, and continuously monitor the position after entry.

This article explains one part of the entry and risk-management logic.

The 90-Second Entry Window

Around 90 seconds before the market finishes, the bot collects several signals:

  • Chainlink price
  • TWAP
  • Binance momentum
  • Other on-chain/market momentum
  • UP/DOWN token price
  • Time remaining

The bot then looks for directional agreement.

For example, an UP setup requires multiple signals to point in the same direction.

TWAP              → UP
Chainlink         → UP
Binance           → UP
Other momentum    → UP
UP token price    → > 0.50
Time remaining    → ~90 seconds

                 ↓

             BUY UP
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For a DOWN setup:

TWAP              → DOWN
Chainlink         → DOWN
Binance           → DOWN
Other momentum    → DOWN
DOWN token price  → > 0.50
Time remaining    → ~90 seconds

                 ↓

            BUY DOWN
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The important part is that one signal is not enough.

The bot is looking for confirmation across multiple data sources.

Why Combine Multiple Signals?

Imagine the UP token is trading at $0.65.

That number alone doesn't tell us enough.

Example 1 — Signals agree 

Chainlink       → UP
TWAP            → UP
Binance         → UP
Momentum        → UP
UP token        → $0.65
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The market data is aligned.

Example 2 — Signals disagree 

Chainlink       → DOWN
TWAP            → weakening
Binance         → DOWN
Momentum        → DOWN
UP token        → $0.65
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The same token price now represents a completely different situation.

That's why the bot uses the underlying market signals together with the Polymarket token price.

The Buy Is Not the End

This is probably the most important part of the strategy.

A simple sniper can look like:

Analyze
   ↓
Buy
   ↓
Wait
   ↓
Market finishes
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I don't want the system to work this way.

The market can reverse after the position is opened.

Instead:

Analyze
   ↓
Confirm
   ↓
Buy
   ↓
Monitor
   ↓
Re-evaluate
   ↓
Risk action if necessary
   ↓
Exit / finalize
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The position should not automatically be held until market resolution.

Post-Entry Monitoring

After the order is filled, the bot continues monitoring the same important signals.

For example:

Position: UP

Chainlink
TWAP
Binance momentum
Other momentum
UP token price
Order book / liquidity
Time remaining
Position size
Execution conditions
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The risk engine continuously evaluates whether the original entry thesis is still valid.

Example: Market Reversal

Suppose the bot enters:

UP = $0.61
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At entry:

Chainlink       → UP
TWAP            → UP
Binance         → UP
Momentum        → UP
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Everything is aligned.

But several seconds later:

Chainlink       → weakening
TWAP            → weakening
Binance         → DOWN
Momentum        → DOWN
UP token        → falling
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Now the original thesis has changed.

The bot shouldn't blindly think:

"I already bought UP, so I have to hold it."

Instead, the risk engine can trigger the appropriate protection logic.

Depending on the configured rules, this could mean:

  • Reduce the position
  • Sell/close the position
  • Re-evaluate the direction
  • Trigger emergency protection
  • Apply a maximum-loss rule
  • Detect stale market data
  • Apply a time-based exit

Entry Engine vs Risk Engine

I separate the strategy into two logical components.

Entry Engine

The Entry Engine asks:

"Do I have enough directional confirmation to enter?"

Inputs:

TWAP
Chainlink
Binance
Momentum
Token price
Time remaining
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Output:

BUY UP
BUY DOWN
NO TRADE
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Risk Engine

The Risk Engine asks:

"Is the position I already opened still safe according to the strategy?"

It continuously monitors:

Chainlink
TWAP
Momentum
Token price
Liquidity
Time remaining
Position size
Execution conditions
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Output could be:

HOLD
REDUCE
EXIT
PROTECT
RE-EVALUATE
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This separation is important because entry conditions and exit conditions are not necessarily the same thing.

A Simple State Machine

The overall process can be represented as:

WAITING
   ↓
SCANNING
   ↓
ENTRY CONDITIONS
   │
   ├── Not confirmed → SCANNING
   │
   └── Confirmed
          ↓
        BUYING
          ↓
    POSITION OPEN
          ↓
      MONITORING
          │
       ┌──┴──┐
       │     │
    Healthy Danger
       │     │
       │     ↓
       │  RISK LOGIC
       │     ↓
       └──→ EXIT / REDUCE
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This makes the bot easier to develop and test because each state has a specific responsibility.

Why Start Around 90 Seconds?

Waiting until the final few seconds can mean entering after the market has already repriced significantly.

For example:

90s → $0.65
60s → $0.72
30s → $0.84
10s → $0.95
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These numbers are only an illustrative example, but they show the basic problem.

Starting earlier gives the bot time to:

  1. Detect directional agreement
  2. Enter
  3. Monitor the position
  4. Detect a reversal
  5. Execute risk logic
  6. Exit or reduce exposure when necessary

So the 90-second window isn't simply about getting an earlier entry.

It's also about giving the risk engine enough time to react.

The Core Algorithm

A simplified version of the strategy looks like this:

if time_remaining <= 90:

    signals = collect_market_signals()

    if (
        signals.twap_direction == "UP"
        and signals.chainlink_direction == "UP"
        and signals.binance_momentum == "UP"
        and signals.other_momentum == "UP"
        and signals.up_price > 0.50
    ):
        buy("UP")

    elif (
        signals.twap_direction == "DOWN"
        and signals.chainlink_direction == "DOWN"
        and signals.binance_momentum == "DOWN"
        and signals.other_momentum == "DOWN"
        and signals.down_price > 0.50
    ):
        buy("DOWN")
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After the buy:

while position_is_open():

    signals = collect_market_signals()

    if risk_condition_triggered(signals):
        execute_risk_logic()

    else:
        continue_monitoring()
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The production implementation is more complicated, especially around execution, stale data, order state, retries, position management, and timing.

But this shows the core idea.

The Main Lesson

The biggest mistake with an end-cycle sniper is thinking the entry signal is the entire strategy.

It isn't.

The strategy is closer to:

DETECT
   ↓
CONFIRM
   ↓
ENTER
   ↓
MONITOR
   ↓
RE-EVALUATE
   ↓
PROTECT
   ↓
EXIT / FINALIZE
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A good entry can still become a bad position.

That's why I consider real-time risk management to be part of the sniper itself, rather than an optional feature added later.

The goal is not simply:

"Buy the token that will win."

The goal is:

"Enter when multiple signals agree, then continuously verify that the trade thesis remains valid."

Project

I'm continuing to experiment with these concepts in my Polymarket trading-bot project.

GitHub:

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

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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…


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If you're building Polymarket bots, prediction-market infrastructure, market-data systems, or algorithmic trading tools, feel free to connect.

polymarket #tradingbot #python #algorithmictrading #cryptotrading #riskmanagement #twap #chainlink #binance #predictionmarkets

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