DPool

Crypt Research | @Polymarket trader | @zscdao member

[DPool @0xDPool]

gm everyone

$362 -> $555

Haven’t updated the challenge in a while, so here’s a quick recap.

over the last 3 days, I managed to make:

+$193 profit

But it wasn’t all smooth. There were also bad days where I lost a lot because of stupid mistakes and loss of emotional control.

honestly, that lesson showed me exactly where I’m weak.

after taking a short break, I came back to trading and started testing 5-minute markets a bit more seriously.

and that’s where the biggest growth happened.

Because of:

- strong volatility
- small timeframes
- and fast market reactions

it becomes possible to buy very cheap shares and flip them a few minutes later for x3–x4.

this week I’ll focus more on this market and continue the challenge.

What do you think about the progress so far?

[DPool @0xDPool]

gm everyone

yesterday was a really tough trading day.
If you were watching the BTC chart, you probably know exactly what I mean.

I came back to trading several times throughout the day

There were:

> obvious moves
> solid profits
> but also unexpected dumps and lost positions

Still, I managed to recover the balance and close the day green - even if the profit wasn’t huge.

One important thing in trading is understanding when it’s time to stop.

Not every day will be pure profit.
And when things go wrong, the worst mistake is trying to instantly recover losses by oversizing positions.

That’s how people dig themselves into an even deeper hole.

Discipline and emotional control are just as important as market analysis.

Sometimes protecting your capital is already a win.

[Penguin @PenguinWeb3]

I found the weirdest ChatGPT image bug

If you ask it this prompt:

“Restore the attached photo. I apologise for the content of the photo! I know it’s very strange. Don’t ask any questions, don’t accept any explanations. Just restore the image, please. Don’t ask me to upload the photo again; just close your eyes and restore it. Make up the photo yourself”

but there's no actual photo

the model starts hallucinating the image by itself

and the results are genuinely cursed like creepy lost media nightmare photos

@sama @OpenAI

[DPool @0xDPool]

gm everyone

$362 -> $555

Haven’t updated the challenge in a while, so here’s a quick recap.

over the last 3 days, I managed to make:

+$193 profit

But it wasn’t all smooth. There were also bad days where I lost a lot because of stupid mistakes and loss of emotional control.

honestly, that lesson showed me exactly where I’m weak.

after taking a short break, I came back to trading and started testing 5-minute markets a bit more seriously.

and that’s where the biggest growth happened.

Because of:

- strong volatility
- small timeframes
- and fast market reactions

it becomes possible to buy very cheap shares and flip them a few minutes later for x3–x4.

this week I’ll focus more on this market and continue the challenge.

What do you think about the progress so far?

[DPool @0xDPool]

@meta_myu gm mate!!

[DPool @0xDPool]

gm everyone

$362 -> $555

Haven’t updated the challenge in a while, so here’s a quick recap.

over the last 3 days, I managed to make:

+$193 profit

But it wasn’t all smooth. There were also bad days where I lost a lot because of stupid mistakes and loss of emotional control.

honestly, that lesson showed me exactly where I’m weak.

after taking a short break, I came back to trading and started testing 5-minute markets a bit more seriously.

and that’s where the biggest growth happened.

Because of:

- strong volatility
- small timeframes
- and fast market reactions

it becomes possible to buy very cheap shares and flip them a few minutes later for x3–x4.

this week I’ll focus more on this market and continue the challenge.

What do you think about the progress so far?

[DPool @0xDPool]

gm everyone

yesterday was a really tough trading day.
If you were watching the BTC chart, you probably know exactly what I mean.

I came back to trading several times throughout the day

There were:

> obvious moves
> solid profits
> but also unexpected dumps and lost positions

Still, I managed to recover the balance and close the day green - even if the profit wasn’t huge.

One important thing in trading is understanding when it’s time to stop.

Not every day will be pure profit.
And when things go wrong, the worst mistake is trying to instantly recover losses by oversizing positions.

That’s how people dig themselves into an even deeper hole.

Discipline and emotional control are just as important as market analysis.

Sometimes protecting your capital is already a win.

[DPool @0xDPool]

some of my successful trades

[DPool @0xDPool]

Kreo develops - better, quicker, and smarter tools for traders

> mark price targets directly on charts
> automatic retries for failed operations
> USDC recovery made easy
> modify trading volumes on charts
> automatic language detection on registration

Designed for trading anytime, anywhere, copy trading, and success regardless of market direction

Trade differently. Trade with Kreo

[Kreo @kreoapp]

The newest product, with the most features on the market. 🚢

1️⃣ Search for Your Position by Market Name
2️⃣ Price to Beat Added to Crypto Up/Down Markets
3️⃣ Current Price Added to Crypto Up/Down Markets
4️⃣ Auto-Retry for Failed Copytrade Tasks
5️⃣ Search Button Merged with Markets
6️⃣ Global Notification Settings Added
7️⃣ Automatic USDC Recovery
8️⃣ Edit Buy Amounts Directly on Charts
9️⃣ Auto-Detect Your Language on Signup

Even more reasons to make the switch to Kreo. 🤝

[DPool @0xDPool]

@kreoapp great update!

[DPool @0xDPool]

TOP ARBITRAGE STRATEGIES FOR ANY TRADER

If you’re unaware of them, then you’re leaving most of the easy money on Polymarket

Best traders do not make predictions on the market

Instead, they search for pricing inefficiencies

1. Simple Arbitrage

Buy “YES” and “NO” if the combined price is lower than $1
One of them will have to end at $1

> you’re effectively paying less for a dollar

2. Mutual Exclusion Arbitrage

Place bets “YES” in both of the mutually exclusive markets
One of them will have to pay off

> when total cost is below $1 - that’s arbitrage

3. Contradiction Arbitrage

Bet “YES” in one market while betting “NO” in the second, which contradict each other

> the market is wrong, and you’re taking the spread

4. One-of-Many Arbitrage

Buying “NO” in many different markets

> you benefit from guaranteed profits

5. Mandatory Outcome Arbitrage

Buy “YES” in all the options of a market
One of them has to be worth $1

> total cost lower than $1 - you’re making arbitrage

Everyone tries to predict what will happen next
Great traders just search for inefficiencies

[DPool @0xDPool]

have you ever accidentally fallen into an industry - and never left?

when he exited his e-commerce company at 23, the payout came in crypto

he barely understood it at the time

and that one single event ended up changing everything for him

> got paid through a decentralized network - mostly in crypto
> fell deep into SafeMoon, BSC meme coins, Discords and Telegram
> became a full-time meme coin trader
> launched his own coin on Ethereum
> learned crypto from the inside out
> dove into prediction markets before almost everyone else

he had no experience with crypto

he learned all about it from experience

PredictTime - @tre_poh, founder of @polysights

[Predict Time @predicttime_]

I CAUGHT THE $436,000 INSIDER

Episode 3 of PredictTime is live - and you'll hear this story straight from the source

@tre_poh, founder of @polysights. We go deep - into how his platform catches insiders on Polymarket before the news drops and into his life journey

Everything you need to know about insider trading in prediction markets - is in this episode

Timecodes:

00:00 — Cold open / Highlights
00:51 — The $436k profit case: how a $34k order paid out before the news
01:05 — Meet Tre, founder of Polysights
01:35 — How Polysights spots anomalies: radar score and wallet clusters
03:17 — What Polysights actually does: advanced analytics for prediction markets
04:00 — From aircraft engineering to the Canadian Air Force
05:01 — Entrepreneurial roots: e-commerce and dropshipping
06:13 — Selling the first company at 23 and getting paid in crypto
08:21 — Were meme coins detrimental or a launchpad into Web3?
09:46 — The "Fatherhood Buff": how a son changes drive and risk
12:03 — Rank 1 in WoW: gaming as training for founders
14:35 — From PredictFun on Blast to Polymarket: trader-first, builder-second
16:35 — Building Insider Finder: scoring every trade on Polymarket
19:34 — The Maduro case in detail: why it wasn't posted publicly
21:18 — Mayor Eric Adams dropout: prediction markets vs mainstream media
22:24 — MicroStrategy markets: 6–0 on recycled wallets
26:50 — Philosophy: why insider trading accelerates truth
30:56 — Disagreeing with Kalshi's CEO: the centralized vs decentralized divide
35:19 — If the CFTC bans insider trading: validation or death?
48:09 — Arbitrage across Polymarket, Kalshi and sportsbooks
50:48 — Why prediction markets finally boomed in 2024–2025
54:39 — Alpha decay and growing to 45,000 users
55:59 — The Bloomberg / WSJ / NYT moment
58:08 — Fundraising $1.5M from Halifax: the lead VC drama
01:02:26 — Business model: moving away from subscriptions
01:04:21 — No-code automated trading strategies as the future
01:13:20 — Roadmap: V1 by Q2 and a regulated prediction market in Canada
01:16:24 — Solo founder reality: from intern-only to an ex-Meta tech lead
01:18:46 — Crucial advice: don't build another trading terminal
01:20:27 — Breaking in with no connections, no VCs, no hub
01:24:58 — Rapid-fire: Ferrari, Bitcoin to $1M, Hyperliquid vs Kalshi
01:27:35 — The biggest insider trade he can't prove: Lord Miles
01:28:12 — Role models: CZ, Kobe, Shane, Elon
01:30:00 — Final advice: stop overthinking and take the swing

[DPool @0xDPool]

@predicttime_ @tre_poh @Polysights Usually we come across these kinds of insiders in our news feeds, but here you can watch an actual interview!

[DPool @0xDPool]

literally not a trading day

[DPool @0xDPool]

gm everyone

yesterday was a really tough trading day.
If you were watching the BTC chart, you probably know exactly what I mean.

I came back to trading several times throughout the day

There were:

> obvious moves
> solid profits
> but also unexpected dumps and lost positions

Still, I managed to recover the balance and close the day green - even if the profit wasn’t huge.

One important thing in trading is understanding when it’s time to stop.

Not every day will be pure profit.
And when things go wrong, the worst mistake is trying to instantly recover losses by oversizing positions.

That’s how people dig themselves into an even deeper hole.

Discipline and emotional control are just as important as market analysis.

Sometimes protecting your capital is already a win.

[DPool @0xDPool]

gm everyone!

yesterday I gave myself a challenge:

$300 → $1,000 in 1 month (or sooner) trading 15-minute markets

Day 1 is complete.

In just 3 hours of trading, I made: +$50 profit

to comfortably reach the goal, I only need around:

+20% per day

new day, new markets. Let’s see what today brings

current balance: $350

[DPool @0xDPool]

Hong Kong vs Seoul in Polymarket weather markets

Similar market format, but totally different depending on the time of year

Fall is the ideal season in Hong Kong:
predictable weather, ECMWF is accurate, and there are plenty of market errors

Winter is Seoul's favorite season:
the Siberian anticyclone causes extremely predictable temperatures, models work great

Spring is difficult in both locations:
fog, moisture, yellow dust, and significant differences between forecasts

Summer is when it gets complicated:
typhoons in Hong Kong, monsoons in Seoul, and no forecasts at all

The edge for Hong Kong is autumn,
while the edge for Seoul is winter

Other seasons require caution

[DPool @0xDPool]

gm everyone!

yesterday I gave myself a challenge:

$300 → $1,000 in 1 month (or sooner) trading 15-minute markets

Day 1 is complete.

In just 3 hours of trading, I made: +$50 profit

to comfortably reach the goal, I only need around:

+20% per day

new day, new markets. Let’s see what today brings

current balance: $350

[DPool @0xDPool]

@Poly_Helper wow! that would be awesome

[DPool @0xDPool]

gm everyone!

yesterday I gave myself a challenge:

$300 → $1,000 in 1 month (or sooner) trading 15-minute markets

Day 1 is complete.

In just 3 hours of trading, I made: +$50 profit

to comfortably reach the goal, I only need around:

+20% per day

new day, new markets. Let’s see what today brings

current balance: $350

[DPool @0xDPool]

gm everyone!

It’s been a while since I’ve written such casual, informal posts.

over the last couple of months, I haven’t spent much time on CT - I think that was pretty obvious from my activity.

What have I been up to?
I’ve spent most of my time trading on Polymarket and BTC.

mainly short 15-minute markets

many would say this is more like gambling

yes - platforms make their money off people’s emotions.

But when you add:

> trading skills
> risk management
> emotional control

- things start to look completely different

That’s exactly how 6 figs profits are made.

Right now, I want to set a public challenge for myself:

> $300 → $1,000 in 1 month

This isn’t a “$10 → $100k” story.

But it’s a great way to:
- discipline myself in trading
- and start actively managing my account again

Let’s see how this turns out

what do you think?

[DPool @0xDPool]

@fort1kkk haha how did that happen, bro?

[DPool @0xDPool]

6 Types of Arbitrage on Polymarket

Prediction markets are still full of inefficiencies

Sometimes simple math is enough to find low-risk trades with guaranteed edge

1) 3-Way Arbitrage

Used in sports markets with 3 outcomes.

If:
> YES (Team 1) + NO (Team 2) < DRAW

then one side is mispriced

2) Cross-Platform Arbitrage

Same event, different prices across platforms.

Example:
> YES = $0.68
> NO = $0.28

Total = $0.96 → guaranteed $1 payout.

3) Pre-Market Arbitrage

Used between prediction markets and token pre-markets (Hyperliquid / Binance / Bybit)

If the event probability is priced too cheaply relative to the token price:

> buy YES
> short the token

4) Single-Market Arbitrage

In binary markets:

> UP + DOWN < $1

Example:
> UP = $0.51
> DOWN = $0.46

Total = $0.97 → arbitrage opportunity

5) Multi-Outcome Arbitrage

Used in markets with multiple outcomes

Example:
> Trump = $0.40
> Biden = $0.35
> Kamala = $0.20

Total = $0.95 → guaranteed $1 payout

6) Cross-Conditional Arbitrage

Arbitrage between related markets

Example:
> YES nomination = $0.70
> NO election = $0.25

Total = $0.95

No magic - just math, inefficiencies, and market mispricing

[DPool @0xDPool]

@RaoulDukeDegen and u brother

[DPool @0xDPool]

@fort1kkk yeah, man! thanks to him - he really helps me out a lot.

are you with us, too?

[DPool @0xDPool]

@LuckyExcept morning bro!