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Inside a Polymarket Bot: How Mechanical Hedging Locks in Risk-Free Profit

Jayden
/9 hours ago
This article breaks down how a Polymarket bot exploits short-term mispricings without predicting direction. By asymmetrically buying YES and NO and keeping their combined cost below $1, traders can mathematically lock in profit on Polymarket—pure structure, no luck.

Inside the Mind of a Polymarket BOT

If you have ever opened a Bitcoin 15-minute market on Polymarket and wondered why one trader always seems to walk away with a win, this is the deep dive you’ve been waiting for.

Most retail traders gamble on direction. Some pray for green candles. Others panic and exit on red.

But one trader, known as gabagool, consistently squeezes profit out of these tiny windows… even when he has zero idea where price is going next.

This is not luck. This is not magic. It is pure mechanical trading, powered by math that you can understand and apply yourself.

The Strategy: Turning Price Movement Into a Guaranteed Payout

Gabagool never predicts whether Bitcoin will go up or down. He simply waits for cheap opportunities on either side of the binary market.

He buys:

YES when YES becomes unusually cheap.

NO when NO becomes unusually cheap.

He doesn’t buy them together. He buys them asymmetrically, at different timestamps, when the market temporarily misprices one side.

His entire objective is to reach this simple condition: Keep the average cost of YES + the average cost of NO < $1.00

Once this happens, he has mathematically locked in profit.

The Math Behind the Magic

To understand it fully, here are the formulas his bot constantly monitors.

First, he calculates the average price paid per share:

avg_YES = Total Cost (YES) / Total Shares (YES) avg_NO = Total Cost (NO) / Total Shares (NO)

The crucial metric is the Pair Cost:

Pair Cost = avg_YES + avg_NO

As long as Pair Cost < 1.00, he guarantees profit at settlement. No matter who wins.

YES resolves: Payout = Quantity of YES shares

NO resolves: Payout = Quantity of NO shares

His risk-free profit calculation is:

Profit = min(Qty_YES, Qty_NO) — (Cost_YES + Cost_NO)

This is the heart of the strategy. Once you understand this math, anyone can implement it.

A Real Example From His Trades

Look carefully at the image above. It contains four layers of insight:

Individual trade dots (YES and NO entries).

Cumulative shares held.

Cumulative dollars spent.

Exposure curves showing total cost vs. total potential payout.

Across a single 15-minute window, look at his precision:

He bought 1266.72 YES shares for 655.18 dollars (avg ≈ 0.517)

He bought 1294.98 NO shares for 581.27 dollars (avg ≈ 0.449)

His combined cost: 0.517 + 0.449 = 0.966

He paid only 96.6 cents for something guaranteed to be worth 1 dollar.

Final profit on this single short window? $58.52.

When you look closer at the chart, notice that the green YES buys appear when the price temporarily dips, and the pink NO buys cluster when sentiment flips. His quantities remain closely balanced, ensuring a safe hedge.

Why This Works: Markets Oscillate More Than You Think

Binary markets should behave like: YES Price + NO Price ≈ 1.00

But real traders inject emotion. You often see YES at 0.20, NO at 0.85. Then minutes later, YES at 0.82, NO at 0.18.

These mispricings are small windows that gabagool captures.

He never needs to guess direction. He simply waits, identifies cheapness, and adds to his position while keeping his averages in check. Over time, the rapid oscillation of sentiment drives his Pair Cost down.

How You Can Replicate This Strategy Today

The best part? This is transparent. Nothing requires secret APIs or insider info.

Step 1: Track Your Totals

Maintain four numbers in a simple spreadsheet: Qty_YES, Qty_NO, Cost_YES, Cost_NO

Step 2: Simulate Before Every Buy

If you consider buying new shares (Δq) at price (P), calculate your new cost basis first.

New Qty = Current Qty + Δq New Cost = Current Cost + (P × Δq)

Check the new combined cost. Only buy if: New Pair Cost < 0.99 (or your safety margin)

Step 3: Keep Quantities Balanced

When Qty_YES ≈ Qty_NO, your hedge is strongest and your guaranteed payout is maximized.

Step 4: Stop Once You Lock Profit

The moment this condition is met:

min(Qty_YES, Qty_NO) > (Cost_YES + Cost_NO)

Stop. The market outcome becomes irrelevant. Price could pump, dump, or go sideways. You are already guaranteed a win.

Step 5: Repeat Every 15 Minutes

Because of the short time window, emotions run hotter and mispricings occur more often. This is why gabagool repeats the strategy multiple times per hour. You can too.

The Visual Proof

almost there

When you look at the chart one last time, the math becomes tangible.

Cumulative Buys: YES and NO quantities moving upward in sync.

Dollar Exposure: Total cost curve stays below total payout curve.

You don’t just understand the strategy. You feel it. You start to see opportunities the same way he does.

Want the exact scripts that generated these visuals?

Comment: AMAZING STATS, and I’ll send you the full chart generator so you can analyze your own trades exactly the same way.

Traders profile: https://polymarket.com/@gabagool22?via=jayden

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