Crypto since ‘14 | Technology Exec @ Big4 | TA + Macro + Trend Spotter 💹 | Emotionless Charts, No Hype 🧠 | Music. Travel. Coffee. Charts. Repeat. 🙌🏽
Blockchain
Joined May 2019
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0xrebel 📈 retweeted
At 3Cr, your life changes dramatically.
1) Setup a tax base abroad. Move your liquid money. And, start paying 0% capital gains.
2) This move comes with frictions. Setting up a tax base, paying money upfront, 250K LRS etc whatnot.
Most people give up here.
And, accept their fate.
But: if you power through this phase, new opportunities open up like never before.
3) Example: if you have a UAE tax base. You can easily invest across: US equities, derivatives, SEA equities, you name it.
It takes 1 min to move 1Mn$, legally. Friction is 0.
4) No nonsense of dealing with currency depreciation, unreliable laws, filing 100 forms for every little move.
You can focus your mental energy growing your wealth. Not on compliances.
5) On top of this: new income streams open up. For eg. Wheel strategy -- you sell Puts 15% OTM. Once you get the stocks, you sell call 15% OTM.
This is a solid active investing strategy with 0% tax.
****
Is the pain worth it? 100% yes. Numbers prove it.
3CR.
Let's say this grows at 13% with 0% capital gains.
₹3 Cr × (1.13)^30 = ₹3 Cr × 39.12 = ₹117.36 Cr
Total gain = ₹114.36 Cr
If you pay 12.5% (and other BS taxes), you will end up paying: 14.30Cr for a passive investment strategy.
If you undertake active investing, this number would be much higher.
Now you decide if paying X lakhs/year as the setup fee is worth it.
****
No Indian fund manager/CA will tell you this. Because if they tell you this, you will leave them & the system, lol 😅
Now, this is what I have been waiting for.
🚨 Someone built an AI that reads candlestick charts the way GPT reads English.
Trained on 12 billion records from 45 exchanges. Outperforms every model by 93%. Live BTC demo. Free.
It's called Kronos.
The first open source foundation model built for financial markets. Not a general AI repurposed for finance. An AI that speaks the native language of candlestick patterns.
Every other model treats financial data like weather data. Kronos treats financial data like financial data.
Here's what it does:
→ Price forecasting. Feed it candlesticks. It predicts where price goes next.
→ Volatility prediction. Forecasts how volatile an asset will be before it happens.
→ Zero-shot. No fine-tuning. Works on any asset, any market, any timeframe.
→ 45 exchanges. Binance, NYSE, NASDAQ, LSE, and 41 more.
→ 4 model sizes. 4M params runs on a laptop. 499M for max accuracy.
→ Live demo running right now. BTC/USDT. 24-hour forecast. Updated hourly.
Here's the wildest part:
→ 93% more accurate than the leading time series model
→ 87% more accurate than the best non-pretrained baseline
→ All zero-shot. No fine-tuning. Out of the box.
Hedge funds spend millions on proprietary models. Bloomberg Terminal costs $24,000/year.
This runs on your laptop. Few lines of Python. Free.
Built at Tsinghua University. Accepted at AAAI 2026. Models on Hugging Face.
11.6K GitHub stars. 2.4K forks. MIT License.
100% Open Source.
0xrebel 📈 retweeted
🚨 Someone built an AI that reads candlestick charts the way GPT reads English.
Trained on 12 billion records from 45 exchanges. Outperforms every model by 93%. Live BTC demo. Free.
It's called Kronos.
The first open source foundation model built for financial markets. Not a general AI repurposed for finance. An AI that speaks the native language of candlestick patterns.
Every other model treats financial data like weather data. Kronos treats financial data like financial data.
Here's what it does:
→ Price forecasting. Feed it candlesticks. It predicts where price goes next.
→ Volatility prediction. Forecasts how volatile an asset will be before it happens.
→ Zero-shot. No fine-tuning. Works on any asset, any market, any timeframe.
→ 45 exchanges. Binance, NYSE, NASDAQ, LSE, and 41 more.
→ 4 model sizes. 4M params runs on a laptop. 499M for max accuracy.
→ Live demo running right now. BTC/USDT. 24-hour forecast. Updated hourly.
Here's the wildest part:
→ 93% more accurate than the leading time series model
→ 87% more accurate than the best non-pretrained baseline
→ All zero-shot. No fine-tuning. Out of the box.
Hedge funds spend millions on proprietary models. Bloomberg Terminal costs $24,000/year.
This runs on your laptop. Few lines of Python. Free.
Built at Tsinghua University. Accepted at AAAI 2026. Models on Hugging Face.
11.6K GitHub stars. 2.4K forks. MIT License.
100% Open Source.
CME gap at $92K. Lol, is $BTC going to fill that now?
If yes, @JamesWynnReal congrats bud - you won.
@GrantCardone layer in those buys.
