1. Pick ONE strategy rule (keep it boring)

Start with something simple like moving averages or a 12-1 momentum.

Your goal is execution and learning, not “printing money.”

2. Pull clean price data

Use a real data source (even free to start). If your data is messy, your results are fiction.

Do it with this (free): yfinance github.com/ranaroussi/yfinance

3. Turn rules into code (with ChatGPT)

Prompt: “Write Python to compute signals + positions + returns for this strategy.”

Then iterate until it’s correct.

4. Backtest with reality baked in

If it only works with zero fees, it doesn’t work.

Add transaction costs + slippage.

Do it with this (free): zipline-reloaded github.com/stefan-jansen/zipline-reloaded

4. Add risk guardrails

A bot without limits is a grenade.

Track these: Max position, max daily loss, max trades/day, cooldown periods, max drawdown, sharpe, total returns.

5. Paper trade it end-to-end

Connect to a broker paper account and prove it can: connect → buy → sell → track positions automatically.

6. Automate reports + iterate weekly

Daily logs, weekly review, and remove tweaks that only help the past.

Scale only after it survives multiple market regimes.

Python is mind-boggling for finance.

Case in point: There's a Finance database of 300,000 tickers.

Available 100% for free:
github.com/JerBouma/FinanceDatabase

Nvidia $NVDA CEO Jensen Huang just said we are at the beginning of a new market

CPUs FOR AGENTS

Here's who is already signed up to use Nvidia's new Vera CPU:

EARLY ADOPTERS:
- OpenAI
- Anthropic
- SpaceX $SPCX

CLOUD PARTNERS:
- Nebius $NBIS
- Oracle Cloud $ORCL
- CoreWeave $CRWV
- Nscale
- Crusoe
- Firmus
- Lambda
- Together AI

ECOSYSTEM PARTNERS:
- Dell Technologies $DELL
- HPE $HPE
- Lenovo
- Super Micro Computer $SMCI
- Aivres
- ASRock Rack
- Asus
- Compal
- Foxconn
- Gigabyte
- Hyve Solutions
- Inventec
- Mitac Computing
- MSI
- Pegatron
- QCT
- Wistron
- Wiwynn

🛣️ Local AI → This week at Computex in Taiwan, a new competitor was revealed on the PC home inferencing landscape

💻 Localmaxxing is becoming the new laptop war. ⚔️

Check out the prebuilt AI PC options 👇

🔥 AMD Strix Halo (now)
Strix Halo is here. Up to 128GB RAM. AMD Agent PC (1st ed)

🐈‍⬛ Intel Panther Lake (now)
Panther Lake Core Ultra Series 3 (up to X9 388H). Strong Arc Xe3 iGPU + NPU (~180 TOPS) up to 96GB RAM. Runs LLMs using OpenVINO (no CUDA).

⚡ AMD Gorgon Halo / AI Max PRO 400 (end of '26)
is official → up to 192GB unified memory + strong iGPU, AMD Agent PC (2nd ed)

💥NVIDIA RTX Spark PC and Laptops (coming fall '26)
Officially announced! Windows-on-Arm superchip with custom 20-core Grace CPU + Blackwell RTX GPU (6,144 CUDA cores), up to 128GB unified memory, ~1 petaflop AI performance. Laptops from Microsoft (Surface Laptop Ultra), Dell, ASUS, Lenovo, HP, MSI

💾 Intel Razor Lake-AX (Expected ~2027–2028)
Rumored Halo-class APU → on-package memory (likely LPDDR6), much bigger Arc Xe3 iGPU.

🔮 AMD Medusa Halo (Rumored late ’27/’28.)
Rumored Zen 6 + RDNA 5 + LPDDR6 follow-up.

🤝 Intel Serpent Lake (Rumored late ’28/’29)
Rumored Intel x86 + NVIDIA RTX tile SoC → official Intel/NVIDIA partnership exists, but name/specs/timing still based on leaks.

Anthropic just took the formal first step toward its IPO.

They confidentially sent the draft S-1 to the SEC.

A draft S-1 is the IPO document that will eventually disclose Anthropic’s business model, financials, risks, share structure, use of proceeds, and underwriters, so submitting it means the company has done enough legal, accounting, and banker work to begin the real pre-IPO process.

The confidential part means the public still cannot read the filing yet, because the SEC allows companies to submit draft registration statements for nonpublic review before the public version appears.

Anthropic can receive SEC comments before exposing the full filing, so the market gets a signal of intent before getting the financial x-ray.

The next visible milestone will be the public S-1, because that is when everyone finally sees the numbers that matter: revenue, losses, gross margin, compute spending, customer concentration, Amazon or Google dependence, executive control, and legal risks.

The Return of Software

Jensen Huang reveals the world's most powerful laptop ever built.

He's been building it for years.

Genuinely insane.

BANKS JUST FOUND A WAY TO USE BLOCKCHAIN WITHOUT TOUCHING CRYPTO. AND IT CHANGES EVERYTHING.

🇺🇸 SWIFT is moving its global payment network on-chain. 40+ banks. 200+ countries. Live with real transactions this year.

The key isn't the blockchain. It's what moves on it: tokenized bank deposits.

A stablecoin is a claim on a private issuer outside the banking system.
A tokenized deposit is real money, in a real bank, under real regulation. Just on-chain.

Banks get the speed and 24/7 settlement of crypto rails. The money never leaves their control.

That's why they stopped fighting blockchain. They found the version that keeps them in charge.

🇦🇺 Journalist Ross Coulthart says full UFO disclosure could break the stock market.

His argument: If reverse-engineered craft have cracked zero-point energy, unlimited free energy becomes real, and the entire fossil fuel economy collapses overnight.

Oil barons sweating harder than a disclosure witness ☠️

SpaceX goes public in 11 days at a $1.8 TRILLION valuation and most portfolios have zero space exposure.

There are exactly 3 ETFs built for this sector: $NASA, $ORBX, and $UFO. Each one targets the space economy differently. I pulled apart all three so you know what you actually own.

This is no longer a niche. And for most investors, the simplest way in is one of three ETFs built specifically for this sector. Each one approaches it differently. Here's what's inside.

🛰️ $NASA: TEMA SPACE INNOVATORS ETF

The actively curated fund. Tema handpicks positions based on where they see the most innovation across the space economy.

Top holdings: $RKLB 10.8%, $SPCX 10.2%, $PL 6.1%, $LUNR 5.9%, $FLY 5.5%, $ASTS 4.8%, $BKSY 4.1%.

This is the most growth oriented of the three. Heavy on pure play names, lighter on legacy telecom and satellite operators. The SpaceX pre IPO allocation makes it unique. If you want concentrated exposure to the companies actually building next generation space infrastructure, this is the fund doing the most active work to identify them.

🌍 $ORBX: GLOBAL X SPACE TECH ETF

The concentrated pure play fund.

Top holdings: RKLB 21.8%, PL 11.2%, ASTS 8.7%, LUNR 6.0%, FLY 5.8%, $IRDM 5.3%, $VSAT 4.4%, $RDW 4.1%.

Rocket Lab at 21.8% is more than double its weight in either of the other two funds. The top three holdings alone account for over 40%. If Rocket Lab has a great quarter, this ETF moves. If it stumbles, same thing. No legacy media. No tangential names. Every holding is directly tied to space operations, launch, or satellite technology.

🚀 $UFO: PROCURE SPACE ETF

The revenue weighted, broader exposure play.

Top holdings: RKLB 7.1%, PL 6.5%, VSAT 5.9%, FLY 4.9%, $MDA 4.8%, ASTS 4.8%, IRDM 4.6%, $SIRI 4.3%.

More evenly distributed. Tilts toward companies with established revenue streams like Viasat and MDA Space, not just high growth pure plays. Also includes Sirius XM, which makes it the most diversified but the most diluted in terms of space purity. Less upside in a breakout. Less downside in a selloff.

Now let me walk through the companies that show up across these funds.

🧠 FINAL THOUGHTS

Each fund gives you a fundamentally different version of the space economy.

Tema Space Innovators is the active conviction bet with pre IPO SpaceX exposure and concentrated growth names. Global X Space Tech is the aggressive pure play where your performance lives and dies with Rocket Lab, Planet Labs, and AST SpaceMobile. Procure Space ETF is the broadest, most diversified take with revenue weighted allocation and established operators in the mix.

Across the sector: Rocket Lab's execution is in a different league. Intuitive Machines is quietly building one of the most impressive revenue trajectories in aerospace. AST SpaceMobile is pricing in a future that hasn't arrived yet. And the defense side is underappreciated. Golden Dome alone could be $1.2 trillion over 20 years, flowing directly to names like Rocket Lab, Redwire, and Viasat.

🚨Nvidia's Jensen Huang just described AI as a 5 layer cake🍰

⚡️Energy is the bottom layer.

Zuckerberg said the same thing.

The 2 most important people in AI agree:
GPUs are not the bottleneck... Power is⚠️

Huang's 5 layer AI stack:

1️⃣ Energy ← the floor. The binding constraint.
2️⃣ Chips and computing
3️⃣ Infrastructure data centers, networking, cooling
4️⃣ Models
5️⃣ Applications

Everything above layer one is limited by layer one.
"Every token produced is the result of electrons moving. There is no abstraction layer beneath this."

This is the CEO of NVIDIA the company that makes the GPUs saying his own product is not the limiting factor.

What Huang sees coming?

→ Every data center of the future will be power-limited

→ Grid connection queues and substation upgrades take years GPUs ship in months

→ Tech companies will become power generators, not just power consumers

→ AI factories that modulate load dynamically to fit existing grid capacity because upgrading infrastructure is too slow

The grid is the new semiconductor bottleneck and you can't just build more grid in 18 months...

For Goldman Sachs: data center electricity demand up 175% this decade.

The AI boom is an energy boom.

$NSRX One of the more interesting micro-cap biotech setups developing right now.

Technically, the chart is beginning to resolve higher after a brutal decline from $9.50 to under $2.

What stands out:

✅ Higher lows forming
✅ Triangle breakout developing
✅ OBV turning higher
✅ RSI recovering
✅ TTM downside momentum fading
✅ Buyers aggressively defending the $3 area

The key level sits near $3.50-$4.00.

A confirmed breakout there could quickly open the door toward the $6-$7 zone, representing a potential 100%+ move from recent lows.

But this isn’t only a technical story.

Investors are also watching:

🔹 Proprietary powder-based intranasal drug delivery platform

🔹 Positive NS002 Phase 2 clinical data vs EpiPen

🔹 Multiple pipeline assets advancing (NS003, NS004, NS005)

🔹 $15M financing extending runway into 2027

🔹 Experienced biotech leadership team with prior public company success

With a market cap of only ~$28M and only 4.86M float shares, this remains one of those names where improving fundamentals and improving technicals are beginning to align.

Definitely one worth keeping on the radar.

Humanoid robotics is turning into a capital race.

Tesla sits at $1.54T market cap Figure is shown at a $39B valuation SoftBank Robotics is backed by a $306B parent company and UBTECH is already public in Hong Kong.

Then comes the serious private stack: Unitree Apptronik Agility Robotics Boston Dynamics Fourier Intelligence 1X Sanctuary AI Neura Robotics Xpeng Robotics RobotEra EngineAI LimX Dynamics Booster Robotics Kepler Galbot and Persona AI.

The chart mixes market cap, parent company market cap valuations and funding so read it as a capital map rather than a clean revenue ranking.

Still the signal is hard to ignore: humanoid robots are moving from lab demos into a heavily funded industrial race.

Which company do you think survives the hardware bottleneck first?

OpenAI and Oracle $ORCL are breaking ground on a $16 Billion data center campus in Saline Township, Michigan

1GWh data center is a part of Project Stargate - CNBC