Life is Lovely

I created these 5 ICT @tradingview Indicators to do 90% of my charting and I'm sharing them for FREE: 1. ICT Time Elements + Macros 2. Key Intraday Levels 3. FVG / IFVGs 4. SMT Divergence 5. NWOG + ORG Comment "INDICATORS" and I'll DM them to you. Must be following

Got so inspired by @dieworkwear decided to get myself a handmade double monk strap from Jootaywala. Here’s my pair being made. And yes because he’s a Twitter friend I got a crazy good deal

How to avoid overtrading Show up 5 minutes before every H1 Candle Open Show up 15 minute before every H4 Candle Open

گھر میں گرمی کی شدت کم کرنے کا حل ہیٹ پروفنگ کا ایک سستا طریقہ اس کے لئے آپ کو پلاسٹر آف پیرس اور سفید سیمنٹ چاہیئے یہ دونوں چیزیں بلڈنگ میٹیریل والی دوکان سے عام مل جاتی ہیں ایک ہزار مربع فٹ کیلئے تقریباً 50 کلو پلاسٹر آف پیرس اور تقریباً 10 کلو سفید سیمنٹ درکار ہو گا 1👇

a russian mathematician solved trading in 1906 wall street found the paper 70 years later, built billion-dollar funds around it, never mentioned it to retail andrei markov proved markets aren't random - they're state machines trending, ranging, reversing - each state has a fixed historical probability of shifting to the next build a transition matrix from real data: trending -> stays trending: 68% trending -> flips to range: 21% trending -> reverses: 11% now you're not predicting direction. you're entering on 68% historical completion identify your state, size with kelly, take the trade when math says yes that's the edge. the whole edge renaissance has run this since 1988. 37 years of 66% annual returns paper is free, data is free, implementation is 200 lines of python Bookmark and use in your own strategy they kept you staring at candles while they ran probability tables

It is only possible when one has gone through dozens of annual reports and started understanding businesses like an owner rather than just a trader. One needs to develop the analytical skillset of a CA/CFA/MBA at least to properly value businesses in the context of the prevailing environment. Once you start connecting numbers with narratives, certain stories become worth following. A few examples from my own framework: 1. SAZEW: when I covered it, it was selling around 200 vehicles a month at a market cap of only 2–3 billion. That was effectively close to just one month’s sales, which made absolutely no sense to anyone understanding the business dynamics. Eventually the market realized this and rerated it even I kept posting it to make people understand as simple as I could for my followers for half a year atleast.... 2. TOWL: I approached it similarly, but later realized the market was discounting it for valid reasons, so I corrected that mistake ruthlessly. 3. TPLP: another apparent asset play in the making, but eventually I realized it was more of a Whirlpool-type situation, so I corrected the thesis at the earliest. 4. BNL: another successful case, mainly because I understood the broader business dynamics. The entire company was trading around Rs 80 crore while the next quarter earnings were likely to touch around Rs 40 crore. Regardless of management or company quality, that level of undervaluation was absurd, so it was worth taking the position. Eventually it paid off. 5. COLG, PREMA, HINOON, TGL, PABC, MARI, MEBL, FABL and HUBC many more such: these were other multibaggers selected primarily on valuations. Some were sold once narratives started overtaking numbers, though not all. 6. CRTM: recently bought on a somewhat different theme, but eventually it worked out for reasons not initially anticipated during the research phase but somehow anticipated and yet not confirmed but anyhow profits made... So in a lump sum, it’s very difficult to tell someone exactly how to identify growth companies. But if one can estimate intrinsic values as realistically and closely as possible, then gradually a sense develops regarding which narratives have genuine strength behind them. That, however, requires a proper knowledge base, experience, temperament and the ability to think independently. And regarding Investing.com paid data/screensers can definitely help in filtering and tracking opportunities, but no platform alone can make investment decisions for you. At best, they are tools. The real edge still comes from interpretation, business understanding, valuation skills and temperament. 👉 So Investing is unique to Individuals yet some universal laws to be followed by all or atleast can't be broken so those are what we keep hearing from all mentors which needs to be borne in mind 😇

@DionTrades_ BLUEPRINT

I've traded ICT for 5 years. Watched all 41 episodes of the 2022 Mentorship while blowing 200+ challenges I condensed everything into one document. ✅ 2022 Model ✅ FVGs & Order Blocks ✅ AMD & Power of 3 ✅ SMT Divergence ✅ Daily Bias framework ✅ Kill zones & more All 41 episodes. One document. Free. To get it: 1. Like 2. Repost 3. Comment "BLUEPRINT" MUST be Following (so I can DM) I'll DM it today.

عید کرنے بہاولنگر آیا ہوں، صبح 7/30 پر درجہ حرارت 41 تھا جو دن میں بڑھ کر 47 تک چلا گیا، ائیر کولر اور پنکھا آگ پھینک رہا ہے، گزشتہ سال انورٹر اے سی لگوانے کا ارادہ تھا لیکن بجلی کے بل دیکھ کر سولر لگوا لیا، گھر میں پرانے سپلٹ اے سی لگے ہیں، چھوٹے بھائی سے اے سی چلانے کی درخواست کی تو ابو کہتے پتر اے سی تو چلا لو لیکن رات کو واپڈا چلانے کی وجہ سے آلریڈی 150 یونٹ ہوچکے دو دن اے سی چلنا 200 یونٹ کراس ہوجانے پھر چھ مہینے مسلسل 7 سے 8 ہزار ماہانہ اضافی بل بھرنا ہوگا، ابو کی بات کے بعد عجیب سی ذہنی حالت ہے، اس حکومت نے ہمیں اتنا نچوڑ دیا ہے کہ بجلی کے بل اور معاشی ان سیکورٹی ہماری نفسیات کا حصہ بن چکی۔۔۔۔۔

The argument that Gulf countries made a mistake by outsourcing their security to the U.S. needs far more scrutiny than it appears on the surface. For decades, no Gulf state had any reason to believe the U.S. security umbrella would become uncertain. The U.S. was not just the world’s dominant military power, but also the anchor of the global economic and financial system. Any country in the region would have felt secure under such protection. People also forget that previous U.S. presidents, despite immense Israeli pressure, consistently resisted direct war with Iran. It took an unorthodox and highly populist figure like Trump for that threshold to be crossed. But circumstances have now changed. This war has exposed new uncertainties in American decision-making and strategic reliability. Gulf countries will now inevitably reassess, recalibrate and diversify their security assumptions going forward.

Pakistan's diplomatic skills are unmatchable. Perhaps the only time in the recent history of the UN Securiry Council Israeli envoy was put in his shoes was when this happened: (You can watch it a hundred times and won't stop).

Democracy only spread because it was the best system for producing compliant trading partners. A democracy has elections. Elections require parties. Parties require financing. Financing requires capital. Capital has interests. So by design, every democracy in the world has a built-in mechanism that ensures the people with money have disproportionate access to the people with power. You don’t need to bribe a dictator and hope he stays in power. In a democracy, you just fund both candidates and own the outcome regardless. This is why US spent the Cold War toppling democracies that elected the wrong people Mossadegh in Iran, Allende in Chile, Lumumba in Congo and replacing them with dictators who were more “stable.” Stable meaning: predictable to capital. The genius of it is the aesthetics. Democracy looks like self-determination. It has flags and anthems and moving inauguration speeches. People will die for it. But the operating system underneath is remarkably friendly to concentrated wealth arguably more so than overt authoritarianism, which at least makes the power visible. The most honest political scientists will tell you: what actually spread after 1989 was markets. Democracy was the packaging. And the packaging worked so well that the people inside it genuinely believe they’re free which is the final, most elegant feature of the system. A cage you can’t see is the strongest cage ever built.

یہ دنیا کا سب سے طاقتور ملک امریکہ ہے (بظاہر) اور یہ ان کا صدر کی دوڑ میں وزیرخارجہ ہے۔ اسے واپس جانے کے لیے سب انسپکڑ سے سلام دے کر واپس بھیجا جا رہا ہے، نہ کوئی آرمی چیف، نہ کوئی وزیردفاع، وزیرخارجہ،وزیراعظم، نہ مشیر نہ چمچے۔۔۔۔

Interpreting Price, predicting Price, forecasting Price, reading Price, reading the tape... This is all the same thing. You do not need: Level 2 data Volume Profile Depth Of Market Footprint I have created a language that allows anyone to visually see the "tape" before any of the aforementioned opinions are even populated on their respective mediums. You see my executions adhere to the logic I taught and none of it relies on the things I listed above. My students are able to do this as well. When new or inexperienced neophyte viewers hear or read me make these statements, they get upset. There is no need for emotional tantrums or useless debates. I show my executions without the reliance on trinkets of deceit... or any other retail theory. Stay in your lane, I'm not interested in your opinion.

When I spend time away from markets, I lose a sense of connection or rhythm with it. So I start with simple drills to place my attention on things that tend to deliver. Not overcomplicating matters or insist my observations be accurate. It is more about alignment, calibration of myself with Price, not technical analysis, in and of itself. Sometimes it takes only a day to get back in the saddle, never more than 3 days.

Who controls the media? Meta owns: Facebook Instagram WhatsApp Messenger Threads Oculus / Meta Quest VR Meta AI Meta is controlled by Mark Zuckerberg who is jewish Alphabet owns: Google YouTube Android Gmail Chrome Pixel phones Nest smart home devices Fitbit (acquired in 2021) DeepMind Gemini AI assistant/model family Waymo — self-driving cars Verily — health technology Calico — longevity research Wing — drone delivery Alphabet is controlled by Larry Page and Sergey Brin who are both jewish Tic Tok U.S. algorithm, cybersecurity and infrastructure is controlled by Oracle Oracle is controlled by Larry Ellison and he’s jewish Hookup Apps Match Group owns: Tinder Hinge OkCupid Match.com Plenty of Fish Meetic The League BLK Archer OurTime Was founded by Barry Diller who is jewish Grindr Was founded by Joel Simkhai who is jewish Bumble Was founded by Whitney Wolfe Herd who is jewish Porn Onlyfans Owned by Leonid Radvinsky who is jewish Vixen Media Group owns: Blacked Blacked Raw Vixen Tushy Deeper Founded by Greg Lansky who is jewish Aylo/MindGeek Owns/owned: Pornhub YouPorn RedTube Brazzers Reality Kings Digital Playground Men.com Sean Cody Tube8 Solomon Friedman is the owner of Aylo and he’s jewish Gamma Entertainment owns/operates: Adult Time Pure Taboo Wicked Girlsway many affiliate studios/platforms Founded by Karl Bernard who is jewish Movies/TV/News Warner Brothers Discovery owns: Warner Bros. Pictures HBO CNN DC Studios Cartoon Network Discovery Channel TNT TBS Max (formerly HBO Max) Adult Swim HGTV Food Network Animal Planet Warner Brothers is run by David Zaslav who is jewish Disney owns: ESPN ABC Marvel Studios Lucasfilm Pixar 20th Century Studios Disney+ Hulu (major controlling stake) National Geographic Disney is run by Bob Iger who is jewish Paramount Global owns: Broadcast & News CBS CBS News CBS Sports Local CBS stations Film Studios Paramount Pictures Paramount Animation Paramount Players Cable Networks MTV Nickelodeon Comedy Central BET VH1 CMT TV Land Smithsonian Channel Logo TV Pop TV Streaming & Premium Paramount+ Showtime Pluto TV Major franchises/IP Top Gun Mission: Impossible Star Trek South Park (licensing/streaming arrangements) SpongeBob SquarePants Transformers Teenage Mutant Ninja Turtles Paramount Global is controlled by Sheri Redstone, who is jewish Comcast owns: * NBCUniversal * NBC * Universal Pictures * Peacock * MSNBC * CNBC * Telemundo * Sky (Europe) * DreamWorks Animation * Xfinity Comcast is controlled by Roberts family who is Jewish AI/Data Centers OpenAI/ChatGPT Run by Sam Altman who is jewish Palentir provides advanced data integration, surveillance, AI, and analytics infrastructure used by military, intelligence, law enforcement, and major corporations. Its platforms help organizations combine massive amounts of fragmented data into real-time operational intelligence for warfare, policing, logistics, cybersecurity, manufacturing, and decision-making, making it one of the most strategically influential data and defense technology companies in the world. Owned and operated by Peter Thiel and Alex Karp both jewish Oracle owns: Oracle Database Java MySQL NetSuite Cerner Sun Microsystems technologies It’s important because it owns core infrastructure software that powers governments, banks, hospitals, corporations, and large parts of the internet. Its control of technologies like Oracle Database, Java, MySQL, and Cerner gives it enormous influence over the backend systems modern society depends on. Owned by Larry Ellison who is jewish

@TraderDiegoX @tradingview TIME

I just created this ICT Time elements + Macros @tradingview indicator that shows: - ICT Macros - Sessions - Silver Bullet windows - Market Opens - Next 4h candle open - Opening Range Like + comment "TIME" and I'll DM it to you (Make sure to be following)

A 22-year-old graduate student in Kazakhstan got so angry at journal paywalls in 2011 that she built a pirate website holding 88 million scientific papers, and last month she turned the whole thing into an AI that lets you ask one question and get the actual research as the answer. Her name is Alexandra Elbakyan, and the website is called Sci-Hub. The AI she just launched is called Sci-Bot. It lives at sci-bot.ru and almost nobody outside academia knows it exists yet. Here is the story, because it is one of the strangest things to happen in science publishing in the last 50 years. Elbakyan was born in Almaty in 1988, the year the Soviet Union started to collapse. She taught herself programming at 12. She read Soviet science books that explained things her family used to call miracles. She got into computer security at university and graduated in 2009 with a degree she barely needed because by then she was already a serious hacker. Alexandra moved to Moscow that fall. Then Germany. Then a research internship in the United States. She was working on brain-computer interfaces, the kind of research that requires you to read hundreds of papers a year just to keep up with the field. And every single one of those papers was locked behind a journal paywall that cost between 30 and 50 dollars to read once. She did the math. A graduate student in Kazakhstan could not afford to read science. The first thing she did was learn how to get around the paywalls one paper at a time. She passed the trick around to other students. They asked her for papers constantly. She got tired of doing it manually. So in September 2011, in three days, she wrote a script that automated the whole thing. A user pastes a DOI. The script logs in through a donated institutional credential. The paper comes back free. The website caches it. The next person who asks for that paper gets it instantly because the previous request already saved a copy. That was Sci-Hub. Three days of code. One graduate student. Done. 15 years later, the cache holds 88 million scientific papers. Almost every piece of scholarly literature published before 2020 is sitting on her servers. Researchers in 190 countries use it. Studies in Nature have shown that roughly half of all academic paper downloads worldwide now go through Sci-Hub, not the publishers who actually own the copyrights. Elsevier sued her in 2015 and won a 15 million dollar judgment. She did not pay. The American Chemical Society sued her and won an injunction. She did not comply. Courts in India, France, Russia, and the UK have tried to block the domain. She just moves it. Sci-hub.se. Sci-hub.ru. Sci-hub.ee. The site has had over 20 domains and is still up. Nature put her on its list of the 10 people who mattered most to science in 2016. The New York Times compared her to Edward Snowden. The Verge called her the pirate queen of science. She has not been to the United States in over a decade because she would be arrested at the airport. The Sci-Bot launch in April 2026 is the part that nobody is talking about. She took the 88 million paper database and put a small language model on top of it. You ask a question in plain English. The model searches the entire shadow library, pulls the relevant papers, synthesizes an answer grounded in real citations, and links you to the full text of every source. Free. No login. No institutional credential. No paywall. Three real scientists tested it for a Chemical and Engineering News article last month. They asked it medical and chemistry questions. The radiologist said the answer he got was usable. The chemist said the gaps in recent literature were obvious but the older science was solid. The publisher community is furious. What she built is what the paid academic AI tools are trying to build. Except the paid ones are limited to what their parent publisher legally owns. Hers is limited to almost nothing. Alexandra still lives somewhere in Russia. She does not give her address. She does not do video interviews. She gives talks over Skype with the camera off. She runs the largest illegal library in human history from a laptop and a donation page. A graduate student who could not afford to read science built the system the entire scientific community now quietly depends on. The publishers have spent a decade trying to shut her down. She just shipped an AI that makes their entire business model outdated.

How to quit your job in 90 days trading ICT concepts:👇

🚨 "If someone just tells me how many shops are in Raja Bazaar, how many in Akbar Mandi, how many shops are in Sutar Mandi, 🇵🇰 Faisalabad? Tax is a distant matter, even if it is some high ranking offical, enter the market and tell me, I'll commit suicide!" - Shabbar Zaidi.