Diferencias de gobernanza:
Cuando dirigí las agencia de inversiones de la Ciudad de México de 2012 a 2018, hice el primer censo de la Ciudad de México para detectar los predios baldíos o subutilizados y generé los mejores incentivos para que en alianza con otros particulares pudieran hacerse transferencias de potencialidades y con ello financiar a los pequeños propietarios que por alguna razón no pudieron económica o social construir en sus propiedades abandonadas.
Sin ningún peso público, solo incentivos del Estado para apoyar la propiedad privada con beneficios sociales: certeza y certidumbre.
También, generé los incentivos fiscales para que en esos predios no se pagará predial si se desarrollaba vivienda social y vivienda en renta que se acreditara en renta para estudiantes y trabajadores.
Hoy, a 12 años de mi trabajo, el Narcopartido mexicano Morena ha aprobado una ley que OBLIGA al dueño de un terreno baldío o subutilizado a que en un plazo OBLIGATORIO de 2 a 4 años construya y, si no cumple, el gobierno lo subasta públicamente o se lo queda.
Esa es la diferencia de gobernar democratizando la riqueza y no como Morena socializa la pobreza y la miseria.
The New China–U.S. Era.
No one won Xi’s visit to Washington.
What came out of it is more useful than a winner: a map of where each power can hurt the other, where they still need each other, and which parts of trade they decided to take out of the fight.
If you run a business in the United States or Mexico, this map of understanding is for you, your company, your family, and your future:
https://t.co/umXcy6PgxZ
…En México no hay medias tintas, ni ser tibio.
Cárcel inmediata a los narcopolíticos empezando por el capo mayor Andrés Manuel López Obrador.
Un régimen de excepción que desconozca todo lo que se aprobó desde 2018.
México en un año se mete en cintura.
Sin eso todo será igual.
Mexicanos:
Estoy convencido que si logramos vencer la depresión profunda en la que se encuentran miles de nuestros hermanos; que si somos honestos y reconocemos que hemos y estamos rotos; que decidimos ponerle nombre a nuestros fantasmas, vamos a poder despertar de la larga noche de pesadilla en la que ha caído México.
Para despertar, tenemos que volver a creer en nosotros y para creer en nosotros, tenemos que aprender a amarnos, a ser dignos y ser humanos.
Desde nuestra dignidad podremos llegar a la fuerza mental, a la claridad de organizarnos para derrocar a una burocracia que son una minoría comparada con los millones de mexicanos que sabemos que México es grande, es mágico, que es posible recuperar nuestro destino.
Que es posible la esperanza de ser lo que amamos, de conquistar nuestras metas y tener dinero de una forma digna y honesta.
Para lograrlo, necesito que te atrevas a reconocer en dónde estás parado; que sepas darle la mano al que piensa diferente a ti para unirse en un ejército de ciudadanos organizados para actuar usando el voto y también, formando parte de la insurrección civil organizada en el momento adecuado.
Desde el simple hecho de no registrar tu teléfono hasta nuevas acciones de desobediencia civil pacífica.
Pero antes de todo eso quiero que estés mentalmente fuerte.
Quiero que recuerdes quién eres y todo lo que puedes ser.
Quiero que te atrevas a tener coraje por tener sueños y por aspirar en la vida.
No importa si eres un chavo o eres un adulto mayor; te hablo a ti desempleado; a ti mujer que no encuentras trabajo; a ti ingeniero que no te alcanza lo que ganas.
Para crear hay que creer.
Recuerda y piensa:
Cuando alguien abre los ojos jamás los puede volver a cerrar porque “la verdad nos hará libres”.
Mañana es Brasil, pronto México!!
¡Viva México!!
I lost my job yesterday.
Rent was due.
No backup plan.
Then I remembered I still had Claude.
Asked it:
“Analyze every top Polymarket wallet from the last 90 days and build me something”
$25 → $4,237 in one night.
It scanned 10,000 wallets.
Cross-referenced win rates, sizing, timing.
Found 7 traders whose edge wasn’t luck.
Then built an autonomous agent.
Not a script.
Not an if-then bot.
An agent that reads live news,
maps it to markets,
detects mispricing,
and exploits arbitrage across outcomes.
Sizes every position using Kelly.
I deployed it at 11:47PM.
Closed the laptop.
Woke up to:
$25 → $4,237
94 trades while I slept.
No input.
No hesitation.
No second-guessing.
That’s the game.
Information asymmetry at machine speed.
Wall Street pays millions for this.
I pay $20/month.
You only need Claude + laptop + 1 hour/day.
Giving This Free for 24 hours. To get it:
1. Comment the word 'AutoPilot'
2. Like and Retweet this post
3. Follow me @tec_marco10 (so i can DM you)
78,083 𝐢𝐧 5 𝐝𝐚𝐲𝐬.
Nobody built it to be smart. They built it to be fast.
Example flows shared:
$7 → $3,595
$30 → $11,063
$142 → $13,356
$1,205 → $37,939
[𝐍𝐨𝐭𝐞: Must Follow me: @ZaraAi56190 (To Get Auto DM)]
According to the breakdown, the logic wasn’t complex:
• Track BTC price movements
• Compare them with Polymarket odds
• Enter when pricing is misaligned
• Exit when the gap closes
The idea is simple:
Not “be right” — just “be faster than the adjustment.”
While traders analyze charts…
the system executes in loops.
While decisions are being made…
the edge may already be gone.
While humans hesitate…
automation compounds.
I found this interesting enough to break down the structure behind it.
If you want the full breakdown and flow logic:
To get access:
• Like this post
• Repost
• Comment “ Data ”
• Must Follow me: @ZaraAi56190 (To Get Auto DM)
Citadel has spent decades paying millions for quant research. AI just changed the economics.
Ken Griffin built Citadel into a $67B fund with researchers from Stanford, MIT, and other elite universities.
Now agentic AI can run the same basic research loop dramatically faster.
Here's the process:
1. Find
Start with one trading idea.
The AI converts it into a measurable hypothesis.
2. Code
The agent writes the strategy from scratch:
→ Entries
→ Exits
→ Position sizing
→ Risk management
3. Test
Backtest it against years of historical data.
If the strategy doesn't survive history, it doesn't get deployed.
4. Deploy
If it passes, the workflow can move toward live broker execution.
5. Autopsy
After the trades run, the AI investigates the results.
Where was the edge?
Where did it disappear?
What caused the losses?
6. Learn
This is where the real gap exists.
Most systems record the result
then forget the lesson.
A failed strategy becomes another file nobody opens.
The next agent starts with a blank slate.
But imagine the opposite:
very failure becomes permanent research memory.
The system remembers:
→ Which signals failed
→ Which assumptions were wrong
→ Which market regimes destroyed performance
→ Which parameters caused losses
→ Which ideas have already been tested
Now the next strategy doesn't start from zero.
It starts with everything the previous experiments discovered.
The loop becomes:
Find → Code → Test → Deploy → Autopsy → Learn
And the more experiments you run.
the harder it becomes to repeat the same mistakes.
That's the real AI quant advantage.
Not predicting every market move.
Building a research machine that learns from every failure.
💡 I'm sharing the complete AI QUANT workflow, including the six-stage loop and the failure-memory system.
Free for 24 hours.
To get it:
1️⃣ Comment "QUANT"
2️⃣ Like + Repost
3️⃣ Follow @codewithimanshu
I'll DM you the setup.
You are still scanning charts one by one.
Claude did it in just 14 seconds.
No clicking. No switching tabs. No manual work.
One prompt was enough:
"Find every BTC futures contract with RSI below 30 and volume above 200%."
Claude instantly:
→ Found 6 matching BTC futures contracts
→ Opened all charts side by side
→ Drew key support levels automatically
→ Started Pine Script backtests
→ Marked entry zones in green
Then came the replay test.
Replay the last 7 days and show every valid entry based on my strategy.
Claude switched modes automatically.
Scanned every candle.
Marked 9 historical entries.
Backtest result:
→ $4,780 profit
→ 83% accuracy
Backtest only. Not live trading.
Next test:
Build a momentum oscillator that tracks whale activity against price direction.
40 seconds later...
The custom indicator was built and added to the chart.
Most traders spend hours doing this manually.
Claude does it in about 90 seconds.
It scans hundreds of contracts.
Draws support and resistance.
Runs backtests.
Marks entry zones.
Your trading strategy doesn't change.
The execution becomes almost instant.
Want the complete setup?
1. Comment BTC
2. Like & repost this
3. Follow me @codewithimanshu so I can DM you the full guide.
Save this post and automate your chart analysis.
All Paid Courses (Free for First 4500 People)
𝗣𝗮𝗶𝗱 𝗖𝗼𝘂𝗿𝘀𝗲 𝗙𝗥𝗘𝗘 (PART - 1)
1. Artificial Intelligence
2. Machine Learning
3. Prompt Engineering
4. Claude,Chatgpt,Grok
5. Data Analytics
6. AWS Certified
7. Data Science
8. BIG DATA
9. Python
10. Ethical Hacking
(72 Hours only )
Like + RT + comment ' Drive '
Must Follow me so I can DM you.
A 33-year-old trader became obsessed with probability instead of predictions.
Instead of asking "Where will Bitcoin go?"
He asked:
"What if 31 different models vote before every trade?"
That single idea changed everything.
I studied the system and rebuilt the framework.
Giving it away free for the next 24 hours.
To get it:
1. Comment "BTC"
2. Like & Retweet
3. Follow @codewithimanshu (so I can DM you)
You only need Claude + a laptop + 1 hour/day.
The idea behind the system:
One model is noise.
31 models voting is signal.
Instead of relying on one indicator, the engine waits for overwhelming agreement before risking capital.
Here's how it works:
→ Claude monitors BTC every 5 minutes
→ Feeds market data into the MiroFish simulation engine
→ Runs 31 independent market simulations
→ Trades only when 28+ models agree
→ Rejects trades when consensus disappears
No emotions.
No FOMO.
No impulsive entries.
Just probability.
Most traders force trades every day.
This system is designed to wait.
The framework also includes:
→ Kelly sizing for position management
→ Continuous data collection
→ Automated simulation cycles
→ Bayesian probability updates
→ Risk filters before execution
Why it works:
Most people try to predict the market.
This framework waits until multiple independent models reach the same conclusion before acting.
The edge isn't certainty.
The edge is consensus.
Deployment checklist:
→ Claude API access
→ MiroFish setup
→ Python environment
→ Exchange data feeds
→ Telegram alerts (optional)
Recommended workflow:
→ Test in paper trading first
→ Track performance over hundreds of trades
→ Validate the strategy before risking real capital
→ Scale only after consistent results
Markets reward discipline.
Not predictions.
Save this post.
Build the framework.
Let probability—not emotion—make the decisions.
Follow @codewithimanshu so I can send you the complete guide.