BTC RSI CYCLE

Every time RSI hits this zone – it marks the cycle low

2015 -> bottom
2019 -> bottom
2023 -> bottom

We are here again

https://x.com/0xChainMind/status/2038201997757673776

🚨KEY EVENTS NEXT WEEK:

MONDAY:
- FED OFFICIALS SPEAKING

TUESDAY:
- U.S. JOB OPENINGS DATA (FEB)

WEDNESDAY:
- U.S. FACTORY ACTIVITY (MAR)

FRIDAY:
- U.S. NON-FARM PAYROLLS (MAR)
- U.S. UNEMPLOYMENT RATE (MAR)

BIG WEEK FOR VOLATILITY

https://x.com/0xChainMind/status/2038357181158785324

I GAVE CLAUDE FULL ACCESS TO MY MAC

Before work, I decided to test this whole thing properly

Just gave Claude full access to my Mac and told it to figure out how to make money on Polymarket

Came back from work and opened my laptop

There was already something running in the terminal

Some kind of trading bot, but honestly, it looked raw

No UI, just logs, wallet tracking, trades – hard to even understand what’s going on

Before going to sleep, I gave it one more task: "build a proper interface for this system"

So I can actually see what it’s doing

Next morning I open my Mac again, and now it’s a completely different thing

Full dashboard, live stats, wallet tracking, PnL – everything structured and readable

At that point, it was basically ready

I connected it to a TG copytrading bot for execution and gave it $100 to test

Bot: http://t.me/poly_copytrade_bot?start=join

Polymarket: https://polymarket.com/?r=chainmind

At first, nothing special happened

Balance was moving up and down, but staying around the same level

It clearly was still figuring things out

I left it running and went to work again

When I came back, the system was already different

It had switched wallets, adjusted its selection, and stopped copying the ones that weren’t performing

That same $100 was now $850

That’s when I decided to scale

Gave it $1,000 instead of playing small

Right now the total PnL is over $23,000

And the most interesting part is how it actually works

It doesn’t stick to the same wallets

If performance drops, it replaces them

It constantly scans, filters, and updates its selection

https://x.com/0xChainMind/status/2038404835003748547

I WAS LOSING MONEY COPYING WALLETS

A few weeks ago I genuinely thought copytrading was the easiest edge on Polymarket

You find a wallet with a clean track record, copy the trades, and just ride the same positions

On paper it looks perfect, especially when you see 70–80% winrate

But once I started doing it with real money, it felt completely different

Sometimes the price had already moved, and even when the wallet closed in profit, my execution was barely breakeven or even negative

It didn’t make sense at first

I remember copying one wallet that looked insanely consistent

High winrate, good ROI, clean history

Polymarket: https://polymarket.com/?r=chainmind

I followed it for a few days and somehow still ended up down, even though the wallet itself was clearly profitable

That’s when it clicked that I wasn’t actually testing anything – I was just copying and hoping

So instead of trying another wallet, I decided to understand what’s actually going on

I gave Claude access to my Mac and asked it to build something simple:

"Build for me a demo system that would simulate copytrading and show what the real result would look like if I followed specific wallets"

What it built was surprisingly useful

It started tracking wallets, replaying their trades with realistic timing, and calculating PnL as if I was actually copying them in real time

And that’s where everything changed

A lot of wallets that looked great on the surface completely fell apart in the simulation

At the same time, a few wallets that didn’t look impressive at first turned out to be much more stable

Lower winrate, but cleaner entries, better timing, and results that actually translated when copied

Now I don’t even think about copytrading the same way

Before following any wallet, I run it through the system and see how it performs under real conditions

It takes the guesswork out completely

What looked like an easy strategy turned out to be way more nuanced

And honestly, this one change probably saved me more money than any trade ever made

https://x.com/0xChainMind/status/2038766830588940678

BTC repeating same expansion structure

2019 -> $19K
2022 -> $69K
2025 -> $126K

Each cycle sets a higher range

Now targeting $200K

https://x.com/0xChainMind/status/2038926604999528856

My friend thought I was faking it

He saw my terminal open, looked at the screen for a few seconds and just laughed

He thinks it was some kind of fake dashboard or demo I was running for fun

He asked me what it even was, and I told him it’s a system Claude built for trading Polymarket

He didn’t really take it seriously at first, so I didn’t try to convince him

I just let it run

After a few seconds, new lines started appearing in the terminal

Small profits, one after another, getting printed in real time

+$2.14
+$5.03
+$9.88

He stopped talking and leaned closer to the screen

He asked what exactly it was doing, and I explained that most of the time it copytrades wallets, but it doesn’t blindly follow everything

It filters entries, skips bad timing, and only takes trades that still make sense by the time they show up

While I was saying that, another trade came through

COPY -> +$6.21

Then right after that, another one

INDP -> +$11.47

He noticed the difference immediately and asked what “INDP” means

I told him those are trades the system takes on its own, without following any wallet

When it detects a high probability setup based on timing, price movement, and how the flow is developing

At that point he stopped smiling completely

Polymarket: https://polymarket.com/?r=chainmind

You can also copytrade here: http://t.me/poly_copytrade_bot?start=join

He asked how much I started with, and I told him it was around $250

I showed him the current balance, already above $1,800, and explained that I didn’t place a single trade manually

He just stood there watching the screen for a bit

After a while he just said, “send me this”

https://x.com/0xChainMind/status/2039781373469491482

BTC vs 400W EMA

Last cycle:
- flush below EMA
- fast reversal
- ~50% move in weeks

Right now price still above that zone

If structure holds:
- sweep into ~$45K area
- then sharp bounce

Make sure to turn notifs on, will call the bottom

https://x.com/0xChainMind/status/2040151826373251227

CLAUDE BUILT ME A TRADING BOT IN JUST A FEW HOURS

I was sitting at my desk, trying to figure out how people are actually making money there

Nothing was clicking

At some point I got tired and just told Claude to take a look at it

I gave it access to my Mac and said something like, “figure out how this works and see if there’s anything interesting”

Then I left it running in the background

A few hours later I came back

Terminal was still open and something was running

Lines moving, logs updating, wallets being tracked

Didn’t look like anything useful

At that point, the system was already built, but it still wasn’t executing any trades

So the only thing left for me was to connect it to a Telegram copytrading bot

Bot: http://t.me/poly_copytrade_bot?start=join

Polymarket: https://polymarket.com/?r=0xchainmind

After that, it immediately started opening positions, and at first I thought it was just copying wallets like any other setup

But after watching it for a bit, I noticed that some trades were being skipped

Even from wallets that were performing well, which didn’t really make sense

Then a position appeared that wasn’t tied to any wallet at all, and a few seconds later it closed in profit

Which made it obvious that the system wasn’t just copying signals anymore

From that point on, it was clear that it was doing both:

Filtering wallet trades and occasionally opening its own positions when it detected a cleaner setup

https://x.com/0xChainMind/status/2040441944971587788

BTC CYCLE STRUCTURE

35 months up -> 12 months down

Every single time

https://x.com/0xChainMind/status/2040808837138063639

OTHERS/BTC FOLLOWING SAME TRENDLINE SINCE 2017

NEXT LEG = EXPANSION

ALTSEASON 2026 WILL BE BIGGER THAN EVER

https://x.com/0xChainMind/status/2040902062389551314

I STOPPED TRYING TO OUTTRADE BOTS ON POLYMARKET

At some point it became obvious I’m not competing with people anymore

I’m competing with systems that price inefficiencies faster than I can even react

So instead of trying to beat them, I asked Claude to find them

I told it to scan Polymarket for one thing only:

Where price doesn’t match probability

Within hours it was tracking hundreds of wallets

Then filtering them down to a small group that consistently trades those inefficiencies

Not high winrate traders

Efficient ones

It’s not predicting outcomes – it’s trading spread

Entering when probability is underpriced, exiting when it normalizes

Over and over again

That’s when it clicked

You don’t beat these systems, you either build one, or you follow them properly

Polymarket: https://polymarket.com/?r=0xchainmind

Copytrade here: http://t.me/poly_copytrade_bot?start=join

So Claude built a terminal that monitors these wallets in real time

Filters entries, and only executes when timing still holds

Now it’s not just copytrading – it’s structured:

- find mispricing
- track wallets exploiting it
- filter late entries
- execute clean trades
Most people are trying to be right
The system is just waiting for the market to be wrong

https://x.com/0xChainMind/status/2041155422040609223

OTHERS/BTC BREAKING MULTI-YEAR DOWNTREND

SAME 13-MONTH BASE AS BEFORE

ALTSEASON 2026 WILL BE MASSIVE

https://x.com/0xChainMind/status/2041274105668718855

OTHERS/BTC FORMING MASSIVE DESCENDING TRIANGLE

YEARS OF COMPRESSION AT SUPPORT

MACD TURNING FROM THE BOTTOM

ALTSEASON IS NEXT

https://x.com/0xChainMind/status/2041470727807709429

THE EDGE ON POLYMARKET IS NOT WHERE YOU THINK

A few days ago I was sitting in front of my screen late at night

Going through markets and trying to understand why the same group of wallets keeps extracting money while most people just rotate capital between positions

At first it looked like prediction

But when I actually broke down their trades, that theory fell apart pretty quickly

Some of those wallets were barely above 50% winrate, yet their PnL curves were unnaturally clean

No large drawdowns, no chasing, no late entries

Which only makes sense if you’re not trading outcomes – you’re trading positioning

So I stopped looking at price entirely and focused on what happens before it moves

I pulled wallet-level data and started reconstructing execution:

- exact entry timestamps
- size distribution across wallets
- order book depth at the moment of entry
- how fast liquidity was getting consumed

Then I passed all of that to Claude and gave it a very specific constraint:

“Don’t try to predict the result. Only model how positioning forms before price displacement.”

The first thing it identified was clustering

Not random entries, but 2–4 wallets entering within a very tight time window, usually in low-liquidity conditions

Then came the liquidity layer

Most of these entries were happening in thin books, where even small size is enough to move price once it starts filling

If you wait until size hits the tape, you’re already late

The edge is in recognizing the setup before expansion

The third component was timing decay

Once the first expansion happens – spread tightens, volume increases, more wallets start entering – the expected value collapses

That’s exactly where most copytraders get in

Claude built the system around these constraints

It scans wallets continuously, but doesn’t rank them by winrate

It ranks them by how early they enter relative to the first expansion event

Then it applies a filter:

- if liquidity already increased -> ignore
- if multiple follow-up entries appear -> ignore
- if spread already compressed -> ignore

Only early positioning survives

Execution is simple, but strict

If it detects a cluster of early entries in a thin market, before volume expansion, it enters

If the market starts filling and flow becomes visible – it exits

When I connected it to execution, the behavior looked almost underwhelming at first

Polymarket: https://polymarket.com/?r=0xchainmind

Copytrade here: http://t.me/poly_copytrade_bot?start=join

But after watching it for a few hours, the pattern became obvious

The system isn’t trying to maximize individual trades

It’s controlling entry quality

And that changes everything

Because once you remove late entries, overextended positions, and crowded trades, the distribution cleans up on its own

That’s when it finally made sense

On Polymarket, edge doesn’t come from predicting events

It comes from understanding when liquidity hasn’t arrived yet – and positioning before it does

https://x.com/0xChainMind/status/2041606468336570523

I ASKED CLAUDE HOW TO MAKE MONEY WHEN BOTS ALREADY RUN THE MARKET

At some point it became obvious that liquid Polymarket markets are basically efficient

Spreads are tight, pricing updates instantly, and any obvious edge gets arbitraged away almost immediately

So instead of competing there, I asked Claude a different question:

“Where does pricing break down?”

It shifted focus to low-liquidity markets close to resolution

That’s where things get interesting

Because as an event approaches resolution, implied probability should converge to either ~0% or ~100%

Polymarket: https://polymarket.com/?r=0xchainmind

Copytrade here: http://t.me/poly_copytrade_bot?start=join

In practice, that convergence is rarely clean

Claude started modeling this as a simple convergence problem

If a market is trading at 62% with 2–3 days to resolution, but historically similar events resolve at ~85–90%, there’s a gap

It combined three layers:

1. Base rate deviation

Compare implied probability (P_market) with empirical probability (P_base)

If |P_market − P_base| > threshold -> potential mispricing
2. Time-to-resolution compression
As time -> 0, variance should collapse

If variance remains high close to resolution -> inefficiency

3. Liquidity constraint

Low depth -> slower correction

Even small size can move price

Then it added a simple expected value filter:

EV = P_true x payoff − (1 − P_true) x risk

If EV > 0 after fees -> valid trade

The system scans for markets where:

- liquidity is thin

- resolution window is near

- probability hasn’t converged
- EV is still positive
Enter before compression
Exit as probability normalizes toward resolution

That’s when it clicked

In liquid markets, you’re trading against bots
In illiquid ones, you’re trading against inefficiency
And inefficiency is much easier to beat

https://x.com/0xChainMind/status/2041828271344472119