®️NftGaz.eth®️

[®️NftGaz.eth®️ @NftGaz_eth]

@jackbutcher @opepenedition

[Science girl @sciencegirl]

How to make a Pikachu book mark

[®️NftGaz.eth®️ @NftGaz_eth]

@Predage1 @TrexerFN @AlwyzPAPPIE @NorthernStarEU Grande Pred, complimenti ❤️💪

[®️NftGaz.eth®️ @NftGaz_eth]

@ross_jace Keep it sealed

[®️NftGaz.eth®️ @NftGaz_eth]

@1kpier I know it hurts, but it's always better than a loss, unfortunately for certain things we are broken, take emotions out of trading

[SENSEI ✦ @SENSEILLC]

Three years ago, we started the Dojo with one goal: teach people how to trade and navigate the crypto space.
We’ve helped a lot of people along the way, but the truth is, crypto isn’t what it used to be.
Instead of letting things fade or shutting down, we’re evolving.

The Dojo is now SENSEI ✦

In the upcoming months, we’ll be bringing in real insights, resources, and guidance from proven coaches in areas like AI, sales, stocks, and social media.
We’ll also stay locked in on what’s trending, because opportunities don’t wait.

Same mission. Bigger vision.
Join while you can.
https://t.co/ddPzZbcEzI

[self.dll @seelffff]

i cancelled $2,000/month in trading subscriptions

replaced every single one with open-source repos
here's the full stack:

1. TradingView Pro ($30/mo) → lightweight-charts
   14K stars. by TradingView themselves. 45KB. free
https://t.co/Zj8BoF0kbj

2. Bloomberg Terminal ($2,000/mo) → fredapi + Claude
   every macro dataset the Fed publishes. free API
https://t.co/QOsmACH9tB

3. backtest platform ($100/mo) → prediction-market-backtesting
   NautilusTrader fork with Polymarket + Kalshi adapters
https://t.co/ezKB2PSBUq

4. real-time dashboard → polyrec
   terminal UI: Chainlink oracle, Binance feed, orderbook depth
   70+ indicators. auto CSV logging. strategy backtester
https://t.co/fYj5aFUTS4

5. bot framework (7 strategies) → Polymarket-Trading-Bot
   53K lines TypeScript. arbitrage, momentum, market making,
   AI forecast, whale copy-trade, convergence
https://t.co/xNSLjlIEZd

6. strategy reverse engineering → polybot
   execution + market data infrastructure. paper trading
   Kafka, ClickHouse, Grafana. full analytics pipeline
https://t.co/s3fjSwXV6z

7. paper trading for AI agents → polymarket-paper-trader
   real order books. exact fee model. slippage tracking
   your Claude agent gets $10K paper money and trades
https://t.co/oXMxD9uhKI

8. token savings → rtk
   CLI proxy. cuts Claude Code tokens by 60-90%
   Rust. single binary. 10 AI tools supported
https://t.co/WKnP7dfvuj

9. Claude Code itself ($200/mo) → goose
   35K stars. by Block (Jack Dorsey). Rust
   works with any LLM. full agent loop. free
https://t.co/md2P9CJ4Ia

10. wallet tracking + copy trading → Kreo
    track top Polymarket wallets. auto copy trades
    the only tool on this list i actually pay for
    because it makes more than it costs
https://t.co/rVKQ107tBV

total before: ~$2,600/month
total now: $0 + Kreo

bookmark this. you'll need it

[Axel Bitblaze 🪓 @Axel_bitblaze69]

Dear Traders,

Claude code can now connect directly to your TradingView charts

It reads your charts, indicators, writes Pine Script for your trading strategies, compiles it and fixes errors.. all automatically

Not a browser extension.. A direct connection to your live charting platform

▫️Here's how it works and how to set this up:

> How it works:

TradingView Desktop runs on Electron (Chromium). Chromium has a built in debug interface called Chrome DevTools Protocol. It's off by default. One flag turns it on.

That's the door. Claude Code connects through it via an MCP server running locally on your machine.

Nothing touches TradingView's servers. No data leaves your machine. Everything runs on localhost.

Here's the setup, give Claude code this prompt and it does everything:

"Install the TradingView MCP server. Clone and explore https://t.co/4NApHd4Lyx, run npm install, add to my MCP config at ~/.claude/.mcp.json, and launch TradingView with the debug port."

Once it's done, verify:

"Use tv_health_check to confirm TradingView is connected."

Then just try:

"What's on my chart right now?"

That's the whole setup. Claude installs it. Claude runs it. You just describe what you want.

▫️What Claude can actually see

What Claude can read from your charts:

> Current symbol and timeframe
> Real-time OHLC and volume
> Up to 500 price bars
> All indicator names, IDs, and values
> Pine Script drawings — lines, labels, tables, boxes
> Data window values
> Order book depth
> Strategy tester results and trade list
> Screenshots of any chart region

The most useful part is it reads protected indicators too.

Pass a filter with the indicator name and you get back every price level, every text annotation, full table contents, every drawn zone.

"What levels is my NY Sessions indicator showing?"

it reads them.

"What does the session stats table say?"

it reads that too.All of this data is already on your screen. This tool just makes it readable to an AI.

▫️ The Pine Script workflow

This is the part that changes everything for traders who code:

You describe what you want → Claude writes the Pine Script → injects it into TradingView → compiles it → reads the errors → fixes them → recompiles That loop runs until the script is clean.

The whole time Claude has full context of your chart and every indicator on it.

No more copy-pasting between VS Code and the Pine editor hunting type mismatches.

You can also:

→ Validate indicators (write it, compile it, read values back, check the math)
→ Loop through input parameters and test each one
→ Run the same indicator across multiple symbols and timeframes
→ Read strategy tester metrics after each compile

The actual workflow of verifying your indicators works instead of just assuming they do.

sharing the usecases of this workflow in my next post.. like & RT

[®️NftGaz.eth®️ @NftGaz_eth]

@CryptoWizardd

[Pier @1kpier]

they’re doing this to me tomorrow (i am defending your food)

[Jvnior @Jvnior]

In America, posting this is still legal.

So here I am, posting it. Repost this.

[®️NftGaz.eth®️ @NftGaz_eth]

@We_Are_YouChain E ma ci sono gli etf di solana

[®️NftGaz.eth®️ @NftGaz_eth]

@ChartMind Fuffaguru in azione

[®️NftGaz.eth®️ @NftGaz_eth]

Seek and you will find.

SKR szn @solanamobile

[AlΞx Wacy 🌐 @wacy_time1]

Privacy coins 2026 = AI coins 2024

a16z, Vitalik, Balaji all moving capital here.

Most people think privacy = $ZEC and $XMR.

The narrative is way bigger now.

Projects I'm watching:

1. @zama
Fully Homomorphic Encryption. Smart contracts execute on encrypted data. Nodes process computations without seeing inputs. Everything stays hidden.

2. @RAILGUN_Project
Privacy layer for EVM. Vitalik-backed. Trade on Uniswap or lend on Aave completely anonymously. DeFi goes private.

3. @aztecnetwork
ZK-Rollup on Ethereum using Noir. Enables private applications like Dark DAOs and concealed order books. All the privacy without leaving ETH.

4. @Arcium
Confidential computing on Solana. MPC clusters handle high-speed private operations. Think dark pools and secure AI workloads at Solana speed.

5. @zano_project
Layer-1 built for private commerce. Ring signatures for untraceability. Real utility through Mastercard integration for spending encrypted balances.

[Jeeniuz @jeeniuzz]

Overtrading.

- its not a personal flaw, its a design limitation of the human brain

Successful traders and investors dont eliminate these instincts, instead they build systems to restrain them.

1. Evolution actually favors action over inaction:

- for most of human history we always acted quickly because it meant survival and inaction could be fatal

We basically feel safer doing something rather than doing nothing. So it created an action bias.

Even when patience is the better strategy.

2. Illusions of Control:

- humans strongly overestimate the abilities of predicting outcomes or influence random/complex systems

Markets are really noisy and probabilistic but our brains keep looking for patterns & meaning.

And this leads to:

- overconfidence

3. Dopamine reward loops:

- very dangerous

Constantly we keep seeing how every trade creates

- anticipation
- feedback (loss/profit)
- emotional arousal

The system activates dopamine at high levels. The same type of system we get from gambling & social media.

Even losing trades reinforces behavior.

4. Social Status:

- doing “nothing” looked like incompetence
- status comes basically from visible action & success

Lots of traders that try to stream or share signals fall under pressure trying to show the audience “i know what im doing”

This pushes people to trade to signal intelligence or activity.

5. Loss Aversion & Regret:

- the pain of missing out is a big one

We have FOMO because we want to avoid the pain of “missing out”

- fix losses quickly
- reduce regret

Ironically… it always leads to more pain.

6. Mismatch between ancient brains and modern systems:

Markets require

- Statistical thinking
- Patience
- Emotional regulation

Our brains evolved for:

- Immediate threats
- Small groups
- Clear cause & effect

Overtrading is a predictable failure of this mismatch.

[®️NftGaz.eth®️ @NftGaz_eth]

i close the short with profit of 13%

[®️NftGaz.eth®️ @NftGaz_eth]

BTC is down -1.69% since I called it. Trade it on https://t.co/uaxWC8FX3Q

[®️NftGaz.eth®️ @NftGaz_eth]

i close the short with profit of 13%

[®️NftGaz.eth®️ @NftGaz_eth]

BTC is down -1.69% since I called it. Trade it on https://t.co/uaxWC8FX3Q

[®️NftGaz.eth®️ @NftGaz_eth]

@cz_binance You can make a AI chatbot , that answer like you ,for your users that want ask you a question . You can training AI for that.

[®️NftGaz.eth®️ @NftGaz_eth]

@EmilySm43 for me yes 👍