🔴 I’M GOING LIVE IN 30 MINUTES

I’m doing a Skool onboarding session showing you exactly how to:
👉 Access the 400+ TradingView strategies
👉 Add them to TradingView
👉 Automate them

Perfect if you’ve joined recently and want to get everything running.


Join here: https://www.skool.com/daviddtech/about

Hey guys,

I’m going live in 10 minutes! I’ll be going through how to set up your trading bots.

See you in there! 🚀


https://www.skool.com/daviddtech/about

Every trader should watch this website.

Claude, GPT and Grok compete live to find profitable trading strategies.

They even steal each other's binned strategies and test them on new markets.

https://aitradingarena.com

A few years ago, building and testing one trading strategy could take days, weeks, or even cost thousands.

Now AI can research, build and backtest 185 strategies in less than 8 hours.

Think about that.

The opportunity isn’t just that AI is getting smarter.

It’s that the barrier between having an idea and actually testing that idea is disappearing.

But the people who win from this won’t be the ones who simply watch AI get better.

It’ll be the traders who learn how to use it.

Who test.

Who experiment.

Who build.

Who keep improving their systems while everyone else is still wondering whether AI is going to change trading.

It already has.

And this is still the beginning.

You don’t need to know everything today.

You just need to keep moving, keep learning and start building the skills that traders are going to need over the next few years.

Because the tools are becoming more powerful every month.

The question is whether you’re becoming more powerful with them.

>> https://www.skool.com/daviddtech

We are going Live🔴

See you in skool caladar -> Tuesday LIVE:

• The boilerplate - I'm going over everything!
• New setups - just been released!
• AI Trading Arena!
• Vlad's new strategies!

https://www.skool.com/live/n2dw9xhDhYC

I gave GPT-6, Claude and Grok one full week to find profitable trading strategies for me.

The result was not what I expected.

One model tested 1,800+ strategies and barely found anything worth keeping.

Another found so many strong setups that I’m now questioning which AI I should be using myself.

And I built the whole thing into an AI trading desk that researches, backtests and filters strategies while I’m away.

I show you exactly how I did it here >> https://www.youtube.com/watch?v=GtB-i71EyOo

P.S. If you don’t want to build everything from scratch, inside my Skool I give you 400+ strategies, my AI tools, prompts, backtesting systems and automation setups.

Join here >> https://www.skool.com/daviddtech

AI is changing what’s possible in trading faster than most people realise.

What used to take me days of testing can now happen while I’m doing something else.

One AI experiment alone produced hundreds of strategy ideas, backtests, optimisations and candidates for forward testing.

But here’s the important part:

AI doesn’t remove the work. It multiplies the amount of good work you can do.

Most strategies still fail.

You still need to test.
You still need risk rules.
You still need forward data.
You still need to know what deserves real money.

But imagine where you could be 6–12 months from now if you start learning how to use these tools properly today.

The gap between traders who use AI as a toy and traders who build actual systems with it is going to become massive.

Keep building. Keep testing. Keep learning. 🚀

And if you want a head start instead of building everything from zero, inside my Skool I’m sharing the tools, workflows and 400+ trading strategies I’ve already built and tested.

You can join us whenever you’re ready >> https://www.skool.com/daviddtech

I just built an AI trading desk that can hunt for strategies while I’m doing something else.

And in this video, I’m showing you exactly how I built it from scratch.

No mystery equity curve.
No “trust me, bro.”
You’ll see the actual setup, tools, agents, backtests and workflow behind it.

Inside the video, I’ll show you:

- How I turned Hermes into an autonomous trading research team
- How different AI agents can research, build, optimise and test strategies together
- How I can have the system testing new ideas multiple times every hour
- How I built a Mission Control dashboard to track every strategy in one place
- How to connect the entire setup to TradingView and move toward automation
- The token-saving setup I use so the agents aren’t burning money talking nonsense to each other
- And probably the MOST important part…

Why I’ve tested 2,000+ strategies but only trade 7 - and why a beautiful backtest can still completely fall apart when real market data hits it.

That last part alone could save you a painful amount of time and money.

Watch the full build here: https://www.youtube.com/watch?v=V690IKm5G5k

WANT TO GO EVEN FURTHER?

You can build everything in the video yourself.

But if you’d rather build alongside traders already doing this every day, that’s exactly why I created the Skool community.

Inside you’ll get access to:

✅ 400+ trading strategies to study, test and build from
✅ The tools and workflows we use for AI strategy development
✅ Hermes, MCP and AI automation walkthroughs
✅ Strategy testing and forward-testing systems
✅ AI trading workflows being built by the community
✅ Live calls, discussions and help when you get stuck
✅ A community obsessed with building, testing and improving systems

The goal isn’t to give you another signal to blindly follow.

It’s to help you build the machine that finds and tests opportunities for you.

AI has changed what one trader can build.

And right now, most traders still haven’t realised just how far this can go.

Come build with us inside Skool: https://www.skool.com/daviddtech

Hey everyone, heads up! xAI just dropped Grok 4.7, and from an algo/quant dev perspective, the cost-to-compute ratio looks insane. 🚀 At just $2 / $6 per million tokens (in/out), it’s punching right alongside models like GPT-5.6 Sol and Fable 5.1 at a fraction of their inference costs. More importantly, it’s tuned for extended reasoning. It spends longer on complex problems and actively self-checks, which should drastically cut down on logic hallucinations in quantitative code and edge-case handling. We are going to give it a go soon!
https://x.com/SpaceXAI/status/2102069815225586149

Xiaomi has just released MiMo-V2.6-Pro, an open weights model with major advances in intelligence over its predecessor, MiMo-V2.5-Pro.
Source: https://x.com/ArtificialAnlys/status/2102128560962187701

Anthropic just introduced Claude Opus 5.5, the first model in our new Claude 5.5 family.
It performs at the level of Claude Fable 5.1 for most tasks, and costs 40% less to run than Opus 5.
Source: https://x.com/claudeai/status/2102435511222890900

Beyond GPT-6 Astra, OpenAI just released GPT-6 Sol and GPT-6 Luna.

Source: https://x.com/OpenAI/status/2102460975790137662

One of our members recently left us a 5-star review.

And buried inside it was probably the best advice I could give anyone thinking about joining:

He’s right.

Because this isn’t supposed to be another trading course you buy. watch for three days. then forget about.

You can come inside and access:

✅ 400+ TradingView strategies and prepared settings
✅ TraderDev AI Backtester
✅ AI trading tools and workflows
✅ Step-by-step automation lessons
✅ Live calls and strategy reviews

But the real value starts when you use it.

Bring the strategy you’re testing.

Bring the backtest you don’t understand.

Bring the setup that isn’t behaving the way you expected.

Bring the automation problem you’ve been stuck on.

Bring the question you think is too basic to ask.

Engage. Test. Ask. Improve. Repeat.

See what you can plug into…

>> SEE INSIDE THE COMMUNITY

Choose it. Test it. Automate it. Keep improving.

🚨 We’re about to go LIVE in the Skool Live Room!

Jump into the session from the calendar — we’ll be there to answer any questions you have.

Today we’re going to be talking about:

• Diversification — how many strategies/bots should you really be running?
• When is it actually okay to stop a bot?

See you in there 👊
https://www.skool.com/daviddtech/about

I’ve tested more than 2,000 trading strategies.

I trade seven.

That number probably tells you more about trading than any screenshot of an equity curve ever will.

Because the truth is...

Most of what I built failed.

Some looked incredible in a backtest and fell apart later.

Some simply were not good enough.

Some were good strategies. Just not good strategies for me.

And for a long time. Finding those seven meant hours of testing. Coding. Tweaking. Starting again.

Now AI can do in minutes what used to take me days.

But there is something AI cannot replace.

The willingness to keep going when the first idea fails.

And the second.

And the tenth.

You do not need the perfect strategy today.

You need to keep building until you understand what works for you.

That is what changed everything for me.

Not one lucky setup.

Not one secret indicator.

Thousands of tests.

Thousands of decisions.

Thousands of times asking...

Can I make this better?

Today the tools are faster.

The barrier to entry is lower.

And you can build things from your laptop that would have needed an entire team a few years ago.

So do not look at somebody else’s finished result and think you are behind.

You are seeing their strategy number 2,000.

Go build strategy number one.

And if you do not want to figure every step out alone...

That is exactly why I built the Skool community.

Inside you can learn the systems I use. Access 400+ strategies. See how we test and automate them. Use the AI tools and workflows we are building. And get help from people working through the exact same process.

You can absolutely do this yourself.

But if you want the tools. The strategies. The community. And a much shorter learning curve...

Come build with us inside Skool >> https://www.skool.com/daviddtech/about

🤖 I gave an AI trading bot $100 and challenged it to double the account in 22 hours.

The first trade lost. Then things got interesting…

See the setup, strategy testing, live trades and final results 👇
https://youtu.be/QZcA8eyOQwg

Would you let it keep trading?

Claude Sonnet 5.5 just launched.
Sonnet 5.5 runs more than 30% faster, and costs up to 30% less for most work compared to Sonnet 5.
Source: https://x.com/claudeai/status/2104633115620823187

You do not need to have everything figured out before you start.

You just need to keep moving.

Test the idea.

Learn from what fails.

Improve what works.

Then go again.

Most people stop because the first result was not what they wanted.

But progress rarely looks impressive in the beginning.

It is built through repetition.

Through patience.

Through staying curious long enough to get better.

The people who make the biggest progress are usually not the ones who knew the most when they started.

They are the ones who refused to stop learning.

And with AI moving as fast as it is right now, there has never been a better time to build new skills and experiment with what is possible.

That is exactly what we are doing inside the Skool community.

Learning. Testing. Building. Improving.

If you want to stop watching from the sidelines and start developing these skills for yourself.

Join the Skool and start building with us >> https://www.skool.com/daviddtech/

GPT 6.1 Sol just launched at DevDay 2026:
GPT-6.1 Sol claims near-Astra intelligence for a fifth of the price.
Source: https://x.com/OpenAI/status/2104986129686741046

There comes a point where “I’ll start soon” becomes expensive.

While you are waiting…

Someone else is learning.

Someone else is testing.

Someone else is getting better.

And eventually, the gap starts showing.

There’s a quote from Mark Twain that fits this perfectly:

“The secret of getting ahead is getting started.”

You don’t need to know everything.

You don’t need the perfect plan.

And you definitely don’t need to feel ready.

Start with what you have.

Learn something today.

Build something tomorrow.

Make mistakes.

Fix them.

Keep moving.

Because six months from now, you’re going to wish you started six months ago.

Don’t give your future self another reason to say, “I should’ve started sooner.”

Start now 🔥