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In my previous post, I shared my first impressions after trying BingX Ultra TradingView. But for me, a trading feature only proves its value when it actually improves my workflow in real market conditions not just on paper. So over the past few days, I decided to trade exclusively...

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DGroup Capital 🇻🇳

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19,651 görüntüleme • 2 ay önce •via X (Twitter)

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here we go again. It’s a pretty common theme to attack me and discredit everything I do, regardless of what I share to prove otherwise. Why? Because it gains traction for all the influencers. i wanted to address the “paper trading” allegations on X, but before i do i want to point out that the ones capitalizing on the engagement are the same ones who have flip flopped their narrative on me again and again. the same people saying i’m a paper trader suddenly decide my trading is real when im losing or in drawdown. whatever positioning gets them the most engagement is the narrative they run with. I’ve been trading for 11 years now and have a longer track record than most in this space. If you go back and watch my YouTube videos you’ll see my broker statements presented. I can appreciate healthy skepticism and will continue to show the statements to those it benefits. Now let’s address the paper trading allegation. A video is floating around that I posted where you see “paper trading” on my screen. Yes, I had paper trading open. But why is the first assumption that I’m a paper trader? Am I not allowed to open paper trading? If I do, I’m immediately a paper trader? That window was open because I tell everyone in my community to paper trade first and I walk them through how to do it. See the attached video that I recorded for my community where you can clearly see paper trading open while I’m walking them through TradingView paper trading. Now let’s assume I’m lying about that and people still want to call me a paper trader simply because I had paper trading open while teaching my community. That would mean I don’t trade real money and that I’m not profitable. Well I’ve posted my broker statements for the last four years, all on YouTube. See attached. Let’s also address my recent trade where I made $18k. When I posted it, people on X said it was fake and that it was paper trading because of certain settings. Here is the attached order ID number for that trade. I’m up $57k this year so far and I’ve stopped sharing trades and updates with the trading community because regardless of whether I share or not, people will continue to come at me because it gets views. All items are attached below. I’ll make a YouTube video soon to address this as well. But give it a break at this point.
0:13

here we go again. It’s a pretty common theme to attack me and discredit everything I do, regardless of what I share to prove otherwise. Why? Because it gains traction for all the influencers. i wanted to address the “paper trading” allegations on X, but before i do i want to point out that the ones capitalizing on the engagement are the same ones who have flip flopped their narrative on me again and again. the same people saying i’m a paper trader suddenly decide my trading is real when im losing or in drawdown. whatever positioning gets them the most engagement is the narrative they run with. I’ve been trading for 11 years now and have a longer track record than most in this space. If you go back and watch my YouTube videos you’ll see my broker statements presented. I can appreciate healthy skepticism and will continue to show the statements to those it benefits. Now let’s address the paper trading allegation. A video is floating around that I posted where you see “paper trading” on my screen. Yes, I had paper trading open. But why is the first assumption that I’m a paper trader? Am I not allowed to open paper trading? If I do, I’m immediately a paper trader? That window was open because I tell everyone in my community to paper trade first and I walk them through how to do it. See the attached video that I recorded for my community where you can clearly see paper trading open while I’m walking them through TradingView paper trading. Now let’s assume I’m lying about that and people still want to call me a paper trader simply because I had paper trading open while teaching my community. That would mean I don’t trade real money and that I’m not profitable. Well I’ve posted my broker statements for the last four years, all on YouTube. See attached. Let’s also address my recent trade where I made $18k. When I posted it, people on X said it was fake and that it was paper trading because of certain settings. Here is the attached order ID number for that trade. I’m up $57k this year so far and I’ve stopped sharing trades and updates with the trading community because regardless of whether I share or not, people will continue to come at me because it gets views. All items are attached below. I’ll make a YouTube video soon to address this as well. But give it a break at this point.

Tori 💜

457,061 görüntüleme • 5 ay önce

Video Walkthrough of My Daily Process: How I merge my Finviz screener, TradingView watchlists, and a 'Compression' screener to generate stalk & focused ideas. Here’s a quick walkthrough of how I generate my stalk/focused ideas—also shared exclusively with my X subscribers through a daily pre-market tweet condensed into a 5-minute reference. A breakdown of the process; 1. Tradingview as my based charting and watchlist management platform. It is tile next to my finviz web browser. 2. I have 13 preset screeners across both platforms , 9 in finviz (post-market to watchlist), 4 in tradingview (watchlist compression, pre-market gapper of stock & etf, watchlist RVOL sorted). Details of each screener are shared in Chapter 3 of You can also get direct Shared Screen access from 3. I copy each screened result from Finviz and paste it into its corresponding TradingView watchlist (e.g., “Hottest Stock” results go into the “Hottest Stock” watchlist). Erik Carell has built a Finviz API workaround that lets you import an entire screen directly into a TradingView watchlist. 4. Screened results aren’t usually actionable on their own, so I add an extra layer— “compression” screener within TradingView—and run it through each dedicated watchlist. This is what I refer to as a “screen within a screen.” My watchlists are color-coded to show which screener each stock came from—and to highlight when a name appears across multiple screeners (e.g.,🔴= Hottest Stock). 5. I review each name that passes the “compression” screener, evaluating them one by one on the chart to determine whether they qualify for my stalk/focused idea watchlist. The criteria I use are outlined in my “15 Hard Rules” in Chapter 6. 6. The same process is then applied at the ETF level, since TradingView separates its Stock and ETF screeners into two different sections. 7. On top of that, I manually review over 160 ETFs to track day-by-day price action/RS across industry groups (not shown in the video). The full workflow—including post-market study—takes at least 2 hours per session. The process flows as follows: Screening → Watchlist Management → Focus List Rebuild & Preparation → Qualitative Market Reading for Situational Awareness → Portfolio Stop Management (when needed). No single screener will ever capture every opportunity. To stay ahead of the market, you need unwavering dedication, discipline, and consistency. Eventually, the market rewards that effort with the strong, or trending moves. But first, you need a strategy and process that fits your lifestyle and is sustainable over the long term. I hope you all find this helpful as we navigate this challenging yet financially rewarding journey.
10:19

Video Walkthrough of My Daily Process: How I merge my Finviz screener, TradingView watchlists, and a 'Compression' screener to generate stalk & focused ideas. Here’s a quick walkthrough of how I generate my stalk/focused ideas—also shared exclusively with my X subscribers through a daily pre-market tweet condensed into a 5-minute reference. A breakdown of the process; 1. Tradingview as my based charting and watchlist management platform. It is tile next to my finviz web browser. 2. I have 13 preset screeners across both platforms , 9 in finviz (post-market to watchlist), 4 in tradingview (watchlist compression, pre-market gapper of stock & etf, watchlist RVOL sorted). Details of each screener are shared in Chapter 3 of You can also get direct Shared Screen access from 3. I copy each screened result from Finviz and paste it into its corresponding TradingView watchlist (e.g., “Hottest Stock” results go into the “Hottest Stock” watchlist). Erik Carell has built a Finviz API workaround that lets you import an entire screen directly into a TradingView watchlist. 4. Screened results aren’t usually actionable on their own, so I add an extra layer— “compression” screener within TradingView—and run it through each dedicated watchlist. This is what I refer to as a “screen within a screen.” My watchlists are color-coded to show which screener each stock came from—and to highlight when a name appears across multiple screeners (e.g.,🔴= Hottest Stock). 5. I review each name that passes the “compression” screener, evaluating them one by one on the chart to determine whether they qualify for my stalk/focused idea watchlist. The criteria I use are outlined in my “15 Hard Rules” in Chapter 6. 6. The same process is then applied at the ETF level, since TradingView separates its Stock and ETF screeners into two different sections. 7. On top of that, I manually review over 160 ETFs to track day-by-day price action/RS across industry groups (not shown in the video). The full workflow—including post-market study—takes at least 2 hours per session. The process flows as follows: Screening → Watchlist Management → Focus List Rebuild & Preparation → Qualitative Market Reading for Situational Awareness → Portfolio Stop Management (when needed). No single screener will ever capture every opportunity. To stay ahead of the market, you need unwavering dedication, discipline, and consistency. Eventually, the market rewards that effort with the strong, or trending moves. But first, you need a strategy and process that fits your lifestyle and is sustainable over the long term. I hope you all find this helpful as we navigate this challenging yet financially rewarding journey.

Jeff Sun, CFTe

437,400 görüntüleme • 9 ay önce

Here is my full daily routine and scan process I follow. I swing trade stocks, and do all of my work in the last 30 min of the trading day. That's how I manage to average 100%+ returns/year with -10% max DD, entering my trades EOD. If you don't have a daily routine/process you adhere to, it will be almost impossible to make money swing trading stocks in the long term. I have the same routine and scanning process I followed for the past 6 years without fail. That's how you build consistency in your own trading and your setup/system/strategy. If you don't have a solid process you repeat every single day, you would be doing random stuff. Random stuff = losing money. Here is how my day goes: --> 3:30pm EST - I get to my laptop (yes, ditched the 5 monitors for a single laptop), - open up my software (TC2000, TradingView, and TWS) - And begin scanning on my long, short, and ETF scans on TradingView (see video attached for scan details and layout ✅) --> 3:50pm EST By this time, I: - already know which stocks are giving my signals according to my system, - I sort them in TradingView by ADR %, - And prioritize if I have more than 5 signals (that's my max limit per day) --> 3:58pm EST - Now I pre-loaded my orders on TWS, - check my position size to have a 1% risk per trade in all positions, - and execute just before the close --> 4:01pm EST - Markets are closed, so I add my Stop Loss and BE alarm - close my computer, and come back tomorrow in the last 30 minutes before the close and repeat... As you see, once you have your system and process in place, you can execute your system flawlessly, and that's what brings consistency and growth to your account over days, weeks, months, and years of doing the same thing over and over again... Build your process, and execute every day and you will grow with your system 📈
0:27

Here is my full daily routine and scan process I follow. I swing trade stocks, and do all of my work in the last 30 min of the trading day. That's how I manage to average 100%+ returns/year with -10% max DD, entering my trades EOD. If you don't have a daily routine/process you adhere to, it will be almost impossible to make money swing trading stocks in the long term. I have the same routine and scanning process I followed for the past 6 years without fail. That's how you build consistency in your own trading and your setup/system/strategy. If you don't have a solid process you repeat every single day, you would be doing random stuff. Random stuff = losing money. Here is how my day goes: --> 3:30pm EST - I get to my laptop (yes, ditched the 5 monitors for a single laptop), - open up my software (TC2000, TradingView, and TWS) - And begin scanning on my long, short, and ETF scans on TradingView (see video attached for scan details and layout ✅) --> 3:50pm EST By this time, I: - already know which stocks are giving my signals according to my system, - I sort them in TradingView by ADR %, - And prioritize if I have more than 5 signals (that's my max limit per day) --> 3:58pm EST - Now I pre-loaded my orders on TWS, - check my position size to have a 1% risk per trade in all positions, - and execute just before the close --> 4:01pm EST - Markets are closed, so I add my Stop Loss and BE alarm - close my computer, and come back tomorrow in the last 30 minutes before the close and repeat... As you see, once you have your system and process in place, you can execute your system flawlessly, and that's what brings consistency and growth to your account over days, weeks, months, and years of doing the same thing over and over again... Build your process, and execute every day and you will grow with your system 📈

Felipe Guirao

30,972 görüntüleme • 9 ay önce

Live trading session on the 15min BTC Polymarket - I made a +100% profit trade right on video. Tools used: my smart-money radar + krajekis 🎒 trading assistant + Polygun TG bot Radar called +400% moonshot - but my paper hands folded early. Trading bot helps eliminate any lag or delays during execution: Playbook of my trade on video: - my smart-money radar spotted top PnL bots starting to buying UP outcome - made the first buy for 35c, trading assistant showed 70% probability in LONG - UP price kept dumping, but smart money kept sweep shares - heiken ashi candles showed too many reds in a row and one of the best wallets on PM crypto markets just buy UP - averaged my position for 15c based on these factors End result: my avg entry at 20c, limit sell for profit at 40c. What happened next? UP price full send to 100c. I could have taken a 400% profit on this trade if I had listened to my tools.
2:18

Live trading session on the 15min BTC Polymarket - I made a +100% profit trade right on video. Tools used: my smart-money radar + krajekis 🎒 trading assistant + Polygun TG bot Radar called +400% moonshot - but my paper hands folded early. Trading bot helps eliminate any lag or delays during execution: Playbook of my trade on video: - my smart-money radar spotted top PnL bots starting to buying UP outcome - made the first buy for 35c, trading assistant showed 70% probability in LONG - UP price kept dumping, but smart money kept sweep shares - heiken ashi candles showed too many reds in a row and one of the best wallets on PM crypto markets just buy UP - averaged my position for 15c based on these factors End result: my avg entry at 20c, limit sell for profit at 40c. What happened next? UP price full send to 100c. I could have taken a 400% profit on this trade if I had listened to my tools.

cvxv666

31,103 görüntüleme • 6 ay önce

Honestly, I’m a simple guy, and life has taught me to trust only what I see with my own eyes — and I know very well how people can play games with statistics So I decided to check for myself whether Lighter really has such huge order execution delays and slippage that it makes trading on it unprofitable So I just did what I normally do: when I want to buy something or close a position, I click “market buy” and “close position” $1k – 10x leverage – 5 times market buy and close position 𝔡 vs Andrew Cost: Lighter – $4 Hyperliquid – $47 Please also note the delay. On the lighter, it is the same or faster Next time some smart guy starts throwing fancy terms in your face, just show him this video
1:44

Honestly, I’m a simple guy, and life has taught me to trust only what I see with my own eyes — and I know very well how people can play games with statistics So I decided to check for myself whether Lighter really has such huge order execution delays and slippage that it makes trading on it unprofitable So I just did what I normally do: when I want to buy something or close a position, I click “market buy” and “close position” $1k – 10x leverage – 5 times market buy and close position 𝔡 vs Andrew Cost: Lighter – $4 Hyperliquid – $47 Please also note the delay. On the lighter, it is the same or faster Next time some smart guy starts throwing fancy terms in your face, just show him this video

Stace

55,157 görüntüleme • 9 ay önce

My Trading Process, Tools, Routine, and Core Beliefs A 60 pages of experience-based lessons and insights curated from 15 years of my tweets. 1. Glossary – Terms and Expressions I Use 2. Charting – My Approach Using TradingView 3. My Screeners – Workflow of Finviz & Tradingview 4. Process & Routine – Moving Ideas to the Focus List 5. Pre-Market Routine – Situational Awareness 6. Proficient Execution– Trade Design, Stops, % Risk 7. Post-Execution – Trade Management 8. Journaling – Fine-Tuning to Improve YoY % Return 9. Conviction – Internalizing These 6 Graphics 10. Full-Time Trading – What Does It Takes 11. Five Books I Highly Recommend To Everyone 12. Free Productivity Tools & Websites I Rely On 13. How I Delayed My Own Progress by 3 Years 14. Reflections and Experiences for You to Relate To 15. Closing Remarks – A Call to Inspiration 16. FAQ, Paired with Thought-Provoking Questions 17. Subtle Strategies to Attract Institutional Attention Managed to finish this project early as a Christmas gift🎄for everyone — enjoy!
1:33

My Trading Process, Tools, Routine, and Core Beliefs A 60 pages of experience-based lessons and insights curated from 15 years of my tweets. 1. Glossary – Terms and Expressions I Use 2. Charting – My Approach Using TradingView 3. My Screeners – Workflow of Finviz & Tradingview 4. Process & Routine – Moving Ideas to the Focus List 5. Pre-Market Routine – Situational Awareness 6. Proficient Execution– Trade Design, Stops, % Risk 7. Post-Execution – Trade Management 8. Journaling – Fine-Tuning to Improve YoY % Return 9. Conviction – Internalizing These 6 Graphics 10. Full-Time Trading – What Does It Takes 11. Five Books I Highly Recommend To Everyone 12. Free Productivity Tools & Websites I Rely On 13. How I Delayed My Own Progress by 3 Years 14. Reflections and Experiences for You to Relate To 15. Closing Remarks – A Call to Inspiration 16. FAQ, Paired with Thought-Provoking Questions 17. Subtle Strategies to Attract Institutional Attention Managed to finish this project early as a Christmas gift🎄for everyone — enjoy!

Jeff Sun, CFTe

974,347 görüntüleme • 9 ay önce

After many requests, here is my full stock scanning and daily process to swing trade momentum breakouts. I've been swing trading momentum stocks and averaged 100%+ returns per year, with $1 - Avg $ volume past 20 days is 20MM min - 8 >20>50 EMAs - Close above 20 EMA - Close > previous day high - CML indicator GREEN I just inverted these for shorts, and the same for ETFs long and short. My universe is US stocks + American depositary receipts. Once I get my scanning going, all I do is identify stocks breaking out according to my rules. I manually go through the scan results (shown in the video), identify potential setups, bring them onto TradingView, and decide if I want to enter. If you want to know more about my setup and how I swing trade momentum breakouts long and short to play with this scanning process, make sure to read my latest explanation in the tweet below. Once I identify with a manual review a setup that meets my criteria, I load it into TWS, make sure my position sizing is in check to risk 1% per trade from entry to stop, and enter. After 4:00 pm EST, the markets are closed, and I enter my stops and my BE alarms. That's it. I close my computer and come back the next day, and repeat the process, every day, every week, every month, every year. If you are NOT doing the same thing over and over in your process, you are doing random stuff. As you see, scanning is NOT the answer to a profitable strategy. Scanning is a process that derives directly from your EDGE. Not the other way around. Once you know what your edge is with extreme detail, you know how to find the stocks you want. Remember. Setup > Process > Scans. Everything starts with your EDGE 📈
0:29

After many requests, here is my full stock scanning and daily process to swing trade momentum breakouts. I've been swing trading momentum stocks and averaged 100%+ returns per year, with $1 - Avg $ volume past 20 days is 20MM min - 8 >20>50 EMAs - Close above 20 EMA - Close > previous day high - CML indicator GREEN I just inverted these for shorts, and the same for ETFs long and short. My universe is US stocks + American depositary receipts. Once I get my scanning going, all I do is identify stocks breaking out according to my rules. I manually go through the scan results (shown in the video), identify potential setups, bring them onto TradingView, and decide if I want to enter. If you want to know more about my setup and how I swing trade momentum breakouts long and short to play with this scanning process, make sure to read my latest explanation in the tweet below. Once I identify with a manual review a setup that meets my criteria, I load it into TWS, make sure my position sizing is in check to risk 1% per trade from entry to stop, and enter. After 4:00 pm EST, the markets are closed, and I enter my stops and my BE alarms. That's it. I close my computer and come back the next day, and repeat the process, every day, every week, every month, every year. If you are NOT doing the same thing over and over in your process, you are doing random stuff. As you see, scanning is NOT the answer to a profitable strategy. Scanning is a process that derives directly from your EDGE. Not the other way around. Once you know what your edge is with extreme detail, you know how to find the stocks you want. Remember. Setup > Process > Scans. Everything starts with your EDGE 📈

Felipe Guirao

13,068 görüntüleme • 10 ay önce

How to Create a Stock Dashboard Using TradingView Charts Without Any Coding Skills Even if you're starting from 0programming knowledge, you'll first need to install PyCharm (an IDE for Python programming). It is free for 30 days. TradingView offers a free widget that can be embedded into your custom webpage. Here's how to do it: 1. Configure Your TradingView Chart: - First, set up the TradingView chart exactly how you want it to appear. - Copy the embed code provided by TradingView for their free widget. 2. Use AI Assistance: - Find an AI assistant like ChatGPT. - Explain what kind of dashboard you want to create. For example: I want to create a stock dashboard for AAPL, TSLA, and NVDA. The left side should display stock tickers with columns for price, price change, 5-day change %, and 20-day change %. Each column should be sortable. When I click on a row, the TradingView chart on the right should automatically switch to display the corresponding stock. Please write this in Python using Flask, in a single file. + "EMBED CODE from Tradingview" This approach allows you to build a functional stock dashboard shown in the video. If you want a better-looking UI and more features, just keep communicating with the AI to gradually improve it.
0:25

How to Create a Stock Dashboard Using TradingView Charts Without Any Coding Skills Even if you're starting from 0programming knowledge, you'll first need to install PyCharm (an IDE for Python programming). It is free for 30 days. TradingView offers a free widget that can be embedded into your custom webpage. Here's how to do it: 1. Configure Your TradingView Chart: - First, set up the TradingView chart exactly how you want it to appear. - Copy the embed code provided by TradingView for their free widget. 2. Use AI Assistance: - Find an AI assistant like ChatGPT. - Explain what kind of dashboard you want to create. For example: I want to create a stock dashboard for AAPL, TSLA, and NVDA. The left side should display stock tickers with columns for price, price change, 5-day change %, and 20-day change %. Each column should be sortable. When I click on a row, the TradingView chart on the right should automatically switch to display the corresponding stock. Please write this in Python using Flask, in a single file. + "EMBED CODE from Tradingview" This approach allows you to build a functional stock dashboard shown in the video. If you want a better-looking UI and more features, just keep communicating with the AI to gradually improve it.

Will Hu

26,988 görüntüleme • 1 yıl önce

15 YEARS OF TRADING ADVICE I started trading in 2011, and my first lesson was brutal but simple: trust the process and focus on getting better every day. My start was awful. Real-time trading was fast, chaotic, and unforgiving. I hesitated on entries, chased moves, and held losers far past my stop. I made the same mistakes over and over. Before long, I was at the back of my training class at Trillium Trading. Progress didn’t come from trading more — it came when I stepped back and built a framework for improvement: deliberate practice, structured review, and systemizing my work. I wasn’t making money yet, but my win rate and consistency were improving. That mattered. In 2012, I learned something that changed everything: most profits come from very few opportunities. I coined the “Broken Slot Machine” concept and drastically narrowed my focus to in-play stocks — names with exceptional volume, volatility, or fresh news. Cutting out noise was a turning point. I still trade this way today. 2013 was my breakthrough year. I stopped chasing complexity and built a small playbook of “easy money” trades — simple, repeatable setups with defined risk. A few mean-reversion plays. Small, consistent wins. Fewer unforced errors. That’s when my PNL finally stabilized and my confidence started compounding. In 2014, I nearly blew up my career. A fat-tail after-hours loss wiped out over $100K in minutes. That drawdown forced me to build strict drawdown protocols — daily, weekly, and monthly loss limits with zero exceptions. Those rules didn’t just save my career — they’ve saved countless others since. By 2015, I shifted my mindset away from obsessing over PNL and toward improving expected value every day — what I now call the Bobblehead Concept. Red days became feedback. Growth became the metric. That mindset carried me through the emotional swings of trading. In 2016, I learned how much environment matters. Trading isn’t purely an individual sport. Being surrounded by serious traders — sharing ideas, accountability, and lessons — accelerated growth faster than anything else. In 2017, I adopted the Daily Report Card habit. Daily reflection. One improvement at a time. Treating trading like a professional athlete reviewing game film. This single habit was foundational to everything that followed. In 2018, I stopped trying to be early. I learned to wait for the right side of the V — letting moves exhaust before entering. Risk dropped. Win rate rose. Size increased. Being right mattered more than being first. From 2019 onward, it was about 1% improvements, adaptability, and pressing size only when edge was extreme. 2020 rewarded preparation. After almost 10 years of trading, COVID hit and it was a day trader's dream market. Most traders scale linearly, but the real outlier performance comes from identifying when you have an A+ setup and absolutely maximizing it. Doing so allowed me to have my first year making over $10m in PNL. By 2021, my technical skills were dialed in. What mattered most was psychology and performance optimization. I realized that how I managed my mental game determined how consistently I could execute at the highest level. Once you have edge, your mental state is what determines how consistently you stick to your system and capture the opportunities in front of you. Strong mental game allows you to avoid FOMO, ragetrading, and other bad habits that leech our PNL. 2022 the markets slowed down and punished many that didn't adapt. I realized that survival in trading isn’t about always being aggressive—it’s about trading based on what the market requires of you. The best traders don’t try to force the market to fit them, they fit their trading to the market and evolve faster than everyone else. 2023 I started allocating more energy toward swing trading—holding positions for days rather than seconds or minutes. This, coupled with selling options premium, gave me the space to step back, zoom out, and build a more sustainable lifestyle. I was no longer glued to the screen 10 hours a day. It reminded me that trading is a means to an end. 2024, I pushed myself to go beyond stocks. I dove deeper into options, futures, and overnight trading. Each new product came with its own quirks, nuances, and edge opportunities. Learning these instruments wasn’t just about more tools—it was about building a truly diversified and adaptable trading approach that maximizes your expected value based on the situation. At the elite level, the more markets and products you open yourself up to, the more opportunities you have to profit and the more mediums you have to express your trade in the most effective way possible. Now at the end of 2025, after 15 years, the biggest lesson is this: There’s no finish line in this game. The best traders stay curious. They stay hungry. And no matter how good you get, if you’re going to stay relevant in markets, you need to always be learning. I'm excited to see what 2026 will bring and I wish you all nothing but health, happiness, and the success you all are looking for.
14:26

15 YEARS OF TRADING ADVICE I started trading in 2011, and my first lesson was brutal but simple: trust the process and focus on getting better every day. My start was awful. Real-time trading was fast, chaotic, and unforgiving. I hesitated on entries, chased moves, and held losers far past my stop. I made the same mistakes over and over. Before long, I was at the back of my training class at Trillium Trading. Progress didn’t come from trading more — it came when I stepped back and built a framework for improvement: deliberate practice, structured review, and systemizing my work. I wasn’t making money yet, but my win rate and consistency were improving. That mattered. In 2012, I learned something that changed everything: most profits come from very few opportunities. I coined the “Broken Slot Machine” concept and drastically narrowed my focus to in-play stocks — names with exceptional volume, volatility, or fresh news. Cutting out noise was a turning point. I still trade this way today. 2013 was my breakthrough year. I stopped chasing complexity and built a small playbook of “easy money” trades — simple, repeatable setups with defined risk. A few mean-reversion plays. Small, consistent wins. Fewer unforced errors. That’s when my PNL finally stabilized and my confidence started compounding. In 2014, I nearly blew up my career. A fat-tail after-hours loss wiped out over $100K in minutes. That drawdown forced me to build strict drawdown protocols — daily, weekly, and monthly loss limits with zero exceptions. Those rules didn’t just save my career — they’ve saved countless others since. By 2015, I shifted my mindset away from obsessing over PNL and toward improving expected value every day — what I now call the Bobblehead Concept. Red days became feedback. Growth became the metric. That mindset carried me through the emotional swings of trading. In 2016, I learned how much environment matters. Trading isn’t purely an individual sport. Being surrounded by serious traders — sharing ideas, accountability, and lessons — accelerated growth faster than anything else. In 2017, I adopted the Daily Report Card habit. Daily reflection. One improvement at a time. Treating trading like a professional athlete reviewing game film. This single habit was foundational to everything that followed. In 2018, I stopped trying to be early. I learned to wait for the right side of the V — letting moves exhaust before entering. Risk dropped. Win rate rose. Size increased. Being right mattered more than being first. From 2019 onward, it was about 1% improvements, adaptability, and pressing size only when edge was extreme. 2020 rewarded preparation. After almost 10 years of trading, COVID hit and it was a day trader's dream market. Most traders scale linearly, but the real outlier performance comes from identifying when you have an A+ setup and absolutely maximizing it. Doing so allowed me to have my first year making over $10m in PNL. By 2021, my technical skills were dialed in. What mattered most was psychology and performance optimization. I realized that how I managed my mental game determined how consistently I could execute at the highest level. Once you have edge, your mental state is what determines how consistently you stick to your system and capture the opportunities in front of you. Strong mental game allows you to avoid FOMO, ragetrading, and other bad habits that leech our PNL. 2022 the markets slowed down and punished many that didn't adapt. I realized that survival in trading isn’t about always being aggressive—it’s about trading based on what the market requires of you. The best traders don’t try to force the market to fit them, they fit their trading to the market and evolve faster than everyone else. 2023 I started allocating more energy toward swing trading—holding positions for days rather than seconds or minutes. This, coupled with selling options premium, gave me the space to step back, zoom out, and build a more sustainable lifestyle. I was no longer glued to the screen 10 hours a day. It reminded me that trading is a means to an end. 2024, I pushed myself to go beyond stocks. I dove deeper into options, futures, and overnight trading. Each new product came with its own quirks, nuances, and edge opportunities. Learning these instruments wasn’t just about more tools—it was about building a truly diversified and adaptable trading approach that maximizes your expected value based on the situation. At the elite level, the more markets and products you open yourself up to, the more opportunities you have to profit and the more mediums you have to express your trade in the most effective way possible. Now at the end of 2025, after 15 years, the biggest lesson is this: There’s no finish line in this game. The best traders stay curious. They stay hungry. And no matter how good you get, if you’re going to stay relevant in markets, you need to always be learning. I'm excited to see what 2026 will bring and I wish you all nothing but health, happiness, and the success you all are looking for.

Lance Breitstein 🇺🇸🌎

45,319 görüntüleme • 8 ay önce

I just found one of the biggest platform bug on Polymarket that cost me my $8.5k portfolio today. Please watch this video. I opened the exact same BTC 5m market on two different devices right next to each other. My computer monitor shows 2 minutes and 50 seconds remaining. My MacBook shows 4 minutes and 02 seconds remaining. There is more than a full minute of time difference on the exact same live market. This video is undeniable proof of exactly why I lost my money today. I was trading on my computer earlier and I waited until the 5m time frame end. When Polymarket UI showed me on my computer the timeframe was completely over and the price was safely above the target, I placed a market up order to provide liquidity. I was 100 percent sure it was a zero risk move because your platform timer showed me the market was already finished and BTC price is up from the beat price. But because of this bug my computer timer was closing 1 minute earlier than the real market time. So after I placed my order believing the market was settled as Up, the actual market was still open. It kept counting the Bitcoin price movements for the next full minute after I placed my trade. During that hidden extra minute the price of BTC dropped and the market finally settled Down, instantly wiping out my entire portfolio. When people told me it might be a UI delay I was shocked, but now I have it on video. The Polymarket timer is completely broken and out of sync across devices. My Polymarket wallet address is: 0xf0AD2eeb8F898619460a38c015a7897a4E797651 Trade URL 1: Trade URL 2: On those above two trade i lost total $8500 The first video I just recorded now when i noticed this bugs and the second video i made when my trade lost and i didn’t have any reason how its happened. I am begging Shayne Coplan 🦅 and the Polymarket support team to review this video. I did not make a trading mistake. I trusted a broken platform timer that showed completely wrong data and forced me into an active market I thought was closed. Please fix this massive bug protect your user and refund my loses.
0:34

I just found one of the biggest platform bug on Polymarket that cost me my $8.5k portfolio today. Please watch this video. I opened the exact same BTC 5m market on two different devices right next to each other. My computer monitor shows 2 minutes and 50 seconds remaining. My MacBook shows 4 minutes and 02 seconds remaining. There is more than a full minute of time difference on the exact same live market. This video is undeniable proof of exactly why I lost my money today. I was trading on my computer earlier and I waited until the 5m time frame end. When Polymarket UI showed me on my computer the timeframe was completely over and the price was safely above the target, I placed a market up order to provide liquidity. I was 100 percent sure it was a zero risk move because your platform timer showed me the market was already finished and BTC price is up from the beat price. But because of this bug my computer timer was closing 1 minute earlier than the real market time. So after I placed my order believing the market was settled as Up, the actual market was still open. It kept counting the Bitcoin price movements for the next full minute after I placed my trade. During that hidden extra minute the price of BTC dropped and the market finally settled Down, instantly wiping out my entire portfolio. When people told me it might be a UI delay I was shocked, but now I have it on video. The Polymarket timer is completely broken and out of sync across devices. My Polymarket wallet address is: 0xf0AD2eeb8F898619460a38c015a7897a4E797651 Trade URL 1: Trade URL 2: On those above two trade i lost total $8500 The first video I just recorded now when i noticed this bugs and the second video i made when my trade lost and i didn’t have any reason how its happened. I am begging Shayne Coplan 🦅 and the Polymarket support team to review this video. I did not make a trading mistake. I trusted a broken platform timer that showed completely wrong data and forced me into an active market I thought was closed. Please fix this massive bug protect your user and refund my loses.

Sheikh Silicon

88,738 görüntüleme • 5 ay önce

$ETH I finally show my ETH positions here. In Trading you want to develop your system so that you can identify setups that you are comfortable taking. It could be as simple as a moving average cross over. But that is where people fall short. They only focus on nailing the entries. No one told them the most important part was holding onto the gains. And so you want to develop a stop loss system. It could just be using a generic trailing stop. An entry and a stop is a system. And any system will give you better results than just trading on emotion and what people say on X. Here is my method. My system. And how we are currently using it on Ethereum.
3:58

$ETH I finally show my ETH positions here. In Trading you want to develop your system so that you can identify setups that you are comfortable taking. It could be as simple as a moving average cross over. But that is where people fall short. They only focus on nailing the entries. No one told them the most important part was holding onto the gains. And so you want to develop a stop loss system. It could just be using a generic trailing stop. An entry and a stop is a system. And any system will give you better results than just trading on emotion and what people say on X. Here is my method. My system. And how we are currently using it on Ethereum.

Wick 🔥

21,595 görüntüleme • 8 gün önce

7 years of trading options. Lost over $30,000. Blown accounts I can't even count. There was a point I seriously considered quitting forever. I was making less than $ 30k at my 9-5. Struggling financially. Struggling mentally. Trading was supposed to be the way out. Instead it became the thing that was destroying me. I remember one point, it was 2am. I was staring at my brokerage screen after blowing $500 on a revenge trade. Kept refreshing hoping the number would change. It never did. Too embarrassed to tell anyone. Dodging family questions. Starting to wonder if maybe I just wasn't smart enough. Maybe these traders on social media had something I didn't. I tried everything. Every YouTube strategy. Every Discord. Spent thousands on courses. Scalping. Swing trading. Signals. Indicators. All of it. Every time - further in the hole. Then one January morning. Down $4,000 year to date. Sat on the edge of my bed, head in my hands. Told myself I was done. And then I realized something. I had been treating trading like gambling. Forcing trades. Oversizing. Chasing. Revenge trading. I scrapped everything. Started over with tiny positions and a checklist . One rule: if a trade doesn't meet every condition, I don't take it. Doesn't matter how good it looks. The edge was being boringly selective, not finding a better setup. That's when everything changed. 7 years later. I'm consistently profitable. I still have a full-time job (a better one now). The centerpiece of that checklist is something most retail traders have never heard of. It's called GEX - Gamma Exposure. Every time you buy an options contract, someone has to be on the other side of that trade. That someone is almost always a market maker - firms like Citadel, SIG, Wolverine. They don't want directional risk. They just want to collect the spread. So the moment they sell you that contract, they immediately go into the market and hedge their position by buying or selling the underlying shares. That hedging is not optional. They have to do it. Continuously. All day long. As price moves. At certain price levels there is a massive concentration of forced buying or forced selling from those dealers. Price reacts to those levels because dealers are mechanically obligated to transact there. That's a GEX level. Not a line you drew on a chart. Not a pattern you spotted. A level backed by real institutional positioning data. I pull the GEX map every single morning using ITMatrix HQ before I open a single chart. It shows me exactly where the major levels are, what kind of environment I'm trading in, and where the clean air is between levels. So instead of guessing where price might react - I know where it has to. Because it almost always behaves the exact same way! But GEX is only one piece of it. The checklist has four components total. And all four have to be green before I place a single trade. Miss one - I wait. That's what makes it an A+ setup. I used it to turn $1,000 into $21,000, and I consistently collect around 5k every month from trading alone! If all this sounds complicated, watch the video below. The checklist is FREE btw - I recently turned it into a web app find it in the comments below ↓
23:11

7 years of trading options. Lost over $30,000. Blown accounts I can't even count. There was a point I seriously considered quitting forever. I was making less than $ 30k at my 9-5. Struggling financially. Struggling mentally. Trading was supposed to be the way out. Instead it became the thing that was destroying me. I remember one point, it was 2am. I was staring at my brokerage screen after blowing $500 on a revenge trade. Kept refreshing hoping the number would change. It never did. Too embarrassed to tell anyone. Dodging family questions. Starting to wonder if maybe I just wasn't smart enough. Maybe these traders on social media had something I didn't. I tried everything. Every YouTube strategy. Every Discord. Spent thousands on courses. Scalping. Swing trading. Signals. Indicators. All of it. Every time - further in the hole. Then one January morning. Down $4,000 year to date. Sat on the edge of my bed, head in my hands. Told myself I was done. And then I realized something. I had been treating trading like gambling. Forcing trades. Oversizing. Chasing. Revenge trading. I scrapped everything. Started over with tiny positions and a checklist . One rule: if a trade doesn't meet every condition, I don't take it. Doesn't matter how good it looks. The edge was being boringly selective, not finding a better setup. That's when everything changed. 7 years later. I'm consistently profitable. I still have a full-time job (a better one now). The centerpiece of that checklist is something most retail traders have never heard of. It's called GEX - Gamma Exposure. Every time you buy an options contract, someone has to be on the other side of that trade. That someone is almost always a market maker - firms like Citadel, SIG, Wolverine. They don't want directional risk. They just want to collect the spread. So the moment they sell you that contract, they immediately go into the market and hedge their position by buying or selling the underlying shares. That hedging is not optional. They have to do it. Continuously. All day long. As price moves. At certain price levels there is a massive concentration of forced buying or forced selling from those dealers. Price reacts to those levels because dealers are mechanically obligated to transact there. That's a GEX level. Not a line you drew on a chart. Not a pattern you spotted. A level backed by real institutional positioning data. I pull the GEX map every single morning using ITMatrix HQ before I open a single chart. It shows me exactly where the major levels are, what kind of environment I'm trading in, and where the clean air is between levels. So instead of guessing where price might react - I know where it has to. Because it almost always behaves the exact same way! But GEX is only one piece of it. The checklist has four components total. And all four have to be green before I place a single trade. Miss one - I wait. That's what makes it an A+ setup. I used it to turn $1,000 into $21,000, and I consistently collect around 5k every month from trading alone! If all this sounds complicated, watch the video below. The checklist is FREE btw - I recently turned it into a web app find it in the comments below ↓

Nick Ireland

28,240 görüntüleme • 4 ay önce

$DXYZ Trade Recap I want to share my full trading journey on $DXYZ, from the first entry to the final exit. I first posted this stock on April 30th and took my initial position at $31.58. Within seven days, the stock exploded to $60+, and my position doubled quickly. My usual rule is simple: When my investment doubles, I sell all or most of the position. This time, I only sold half. On May 13th, I bought back the shares I sold, around $51, and shared that update as well. Price pushed back to the $70 area, but after forming a clear double top and failing to break $71, I sold the shares I added on May 13th at price $59. Soon after, the stock dropped sharply to the $50 area. I bought again around $50, with a stop slightly below $47, and that stop was hit. Later, when price pulled back to the $38 range, I entered again and waited for price action into the SpaceX IPO. I eventually exited all remaining shares in premarket before the IPO, around $36. That completes my entire trade sequence on this name. I made a profit overall, but not as much as I originally expected. The key reason is: Price never broke above the previous $70 resistance. Looking back, the part I didn’t execute well was letting my bias take over. I believed the stock could go much higher, and because of that, I didn’t follow my usual discipline: I didn’t sell the entire position when I doubled my investment the first time. I didn’t sell everything when the stock failed to break the previous high. Both moments were clear opportunities to lock in the full gain. Still, it was a solid learning experience and a profitable trade overall. Thanks for reading, and I hope this recap helps others stay disciplined in their own trading.
2:04

$DXYZ Trade Recap I want to share my full trading journey on $DXYZ, from the first entry to the final exit. I first posted this stock on April 30th and took my initial position at $31.58. Within seven days, the stock exploded to $60+, and my position doubled quickly. My usual rule is simple: When my investment doubles, I sell all or most of the position. This time, I only sold half. On May 13th, I bought back the shares I sold, around $51, and shared that update as well. Price pushed back to the $70 area, but after forming a clear double top and failing to break $71, I sold the shares I added on May 13th at price $59. Soon after, the stock dropped sharply to the $50 area. I bought again around $50, with a stop slightly below $47, and that stop was hit. Later, when price pulled back to the $38 range, I entered again and waited for price action into the SpaceX IPO. I eventually exited all remaining shares in premarket before the IPO, around $36. That completes my entire trade sequence on this name. I made a profit overall, but not as much as I originally expected. The key reason is: Price never broke above the previous $70 resistance. Looking back, the part I didn’t execute well was letting my bias take over. I believed the stock could go much higher, and because of that, I didn’t follow my usual discipline: I didn’t sell the entire position when I doubled my investment the first time. I didn’t sell everything when the stock failed to break the previous high. Both moments were clear opportunities to lock in the full gain. Still, it was a solid learning experience and a profitable trade overall. Thanks for reading, and I hope this recap helps others stay disciplined in their own trading.

SEPTINVESTING

19,252 görüntüleme • 2 ay önce

Day trading used to feel like walking into a casino blindfolded every single morning. I’d sit there from 9:30 AM EST with five screens open, heart rate already elevated, chasing every little spike on the 1-minute chart, getting chopped up on fakeouts, revenge trading after a loss, and by 11 AM I was either up a little or down a lot — but always emotionally wrecked. My win rate hovered around 45-50%, commissions ate half my profits, and I constantly questioned whether I even had an edge or was just lucky on green days. About two months ago I integrated Intellectia’s real-time Day Trading Signals into my routine. Now I start the day by opening the app while the market is still pre-open. It gives me a prioritized list of high-probability setups — clean entries with stop levels, targets, confidence scores, and short reasoning (e.g., “volume breakout + sector rotation + RSI divergence”). I no longer scan 200 tickers; I focus on 3-5 signals that pass my own filter. Last week was a perfect example: Tuesday it flagged a clean long on a mid-cap tech name at 9:32 AM; I took it, trailed the stop, exited at +2.1% by 10:15 AM. Thursday had a short signal on an overextended small-cap — covered +1.8% in 40 minutes. Those two trades alone covered my weekly coffee budget and then some. The signals aren’t magic (nothing is), but they’re fast, data-driven, and remove 80% of the “where do I even look?” paralysis. My average hold time shortened, my risk per trade dropped, and I’m actually ending days in the green more consistently instead of bleeding out slowly. If you day trade and still feel like you’re always reacting instead of leading, give this a real week of testing — the clarity it brings is honestly addictive:
0:22

Day trading used to feel like walking into a casino blindfolded every single morning. I’d sit there from 9:30 AM EST with five screens open, heart rate already elevated, chasing every little spike on the 1-minute chart, getting chopped up on fakeouts, revenge trading after a loss, and by 11 AM I was either up a little or down a lot — but always emotionally wrecked. My win rate hovered around 45-50%, commissions ate half my profits, and I constantly questioned whether I even had an edge or was just lucky on green days. About two months ago I integrated Intellectia’s real-time Day Trading Signals into my routine. Now I start the day by opening the app while the market is still pre-open. It gives me a prioritized list of high-probability setups — clean entries with stop levels, targets, confidence scores, and short reasoning (e.g., “volume breakout + sector rotation + RSI divergence”). I no longer scan 200 tickers; I focus on 3-5 signals that pass my own filter. Last week was a perfect example: Tuesday it flagged a clean long on a mid-cap tech name at 9:32 AM; I took it, trailed the stop, exited at +2.1% by 10:15 AM. Thursday had a short signal on an overextended small-cap — covered +1.8% in 40 minutes. Those two trades alone covered my weekly coffee budget and then some. The signals aren’t magic (nothing is), but they’re fast, data-driven, and remove 80% of the “where do I even look?” paralysis. My average hold time shortened, my risk per trade dropped, and I’m actually ending days in the green more consistently instead of bleeding out slowly. If you day trade and still feel like you’re always reacting instead of leading, give this a real week of testing — the clarity it brings is honestly addictive:

Marry Evan

10,081 görüntüleme • 6 ay önce

I asked Claude Fable 5 (Extra High) to build an arb bot for Polymarket. One rule: trade only when YES + NO in 2 hours it almost doubled it (+$96.31) > in 5 hours it showed +$579 PnL > current balance: +$3,799.73 Cost: 10M tokens. Here's how it works and why: Every BTC Up/Down market on Polymarket has exactly two outcomes. YES and NO. When the market resolves, one pays $1. The other pays $0. That means owning BOTH sides should always cost exactly $1. But markets aren't perfect. Sometimes YES trades at $0.48 while NO trades at $0.49. Together that's only $0.97 so the bot instantly buys both. A position worth $1... for just $0.97. And Claude knows it, this is the simplest arb that exists. You can paste this to it and use this logic in your prompt. This $0.03 difference is locked in regardless of whether Bitcoin pumps, dumps, or goes sideways. No prediction required. And difficult part isn't finding the opportunity, it's execution. These pricing gaps usually disappear in seconds. If one order fills but the other doesn't, the trade can become a loss. So my bot constantly scans every BTC market, checks fees, validates liquidity, places both orders almost simultaneously and skips what isn't worth the risk. It's less like trading and more like catching tiny accounting mistakes before everyone else notices them. Funny enoughh, the hardest part was not writing arb logic. It was making the execution reliable enough that free money actually stayed free. This completely changed how I think about trading. What's the point of it if you can just fill mispriced BTC markets?? Automatically. The biggest edge is getting AI to execute simple ideas faster and more consistently than any human ever could. Shared the exact build in my last article, leaving it below. Good luck!
0:41

I asked Claude Fable 5 (Extra High) to build an arb bot for Polymarket. One rule: trade only when YES + NO in 2 hours it almost doubled it (+$96.31) > in 5 hours it showed +$579 PnL > current balance: +$3,799.73 Cost: 10M tokens. Here's how it works and why: Every BTC Up/Down market on Polymarket has exactly two outcomes. YES and NO. When the market resolves, one pays $1. The other pays $0. That means owning BOTH sides should always cost exactly $1. But markets aren't perfect. Sometimes YES trades at $0.48 while NO trades at $0.49. Together that's only $0.97 so the bot instantly buys both. A position worth $1... for just $0.97. And Claude knows it, this is the simplest arb that exists. You can paste this to it and use this logic in your prompt. This $0.03 difference is locked in regardless of whether Bitcoin pumps, dumps, or goes sideways. No prediction required. And difficult part isn't finding the opportunity, it's execution. These pricing gaps usually disappear in seconds. If one order fills but the other doesn't, the trade can become a loss. So my bot constantly scans every BTC market, checks fees, validates liquidity, places both orders almost simultaneously and skips what isn't worth the risk. It's less like trading and more like catching tiny accounting mistakes before everyone else notices them. Funny enoughh, the hardest part was not writing arb logic. It was making the execution reliable enough that free money actually stayed free. This completely changed how I think about trading. What's the point of it if you can just fill mispriced BTC markets?? Automatically. The biggest edge is getting AI to execute simple ideas faster and more consistently than any human ever could. Shared the exact build in my last article, leaving it below. Good luck!

Oracle Boar

155,656 görüntüleme • 2 ay önce

I asked Claude Fable 5 (Extra High) to build an arb bot for Polymarket. One rule: trade only when YES + NO in 2 hours it almost doubled it (+$98.40) > in 5 hours it showed +$493 PnL > current balance: +$3,279.73 Cost: 7.5M tokens. Here's how it works and why: Every BTC Up/Down market on Polymarket has exactly two outcomes. YES and NO. When the market resolves, one pays $1. The other pays $0. That means owning BOTH sides should always cost exactly $1. But markets aren't perfect. Sometimes YES trades at $0.48 while NO trades at $0.49. Together that's only $0.97 so the bot instantly buys both. A position worth $1... for just $0.97. And Claude knows it, this is the simplest arb that exists. You can paste this to it and use this logic in your prompt. This $0.03 difference is locked in regardless of whether Bitcoin pumps, dumps, or goes sideways. No prediction required. And difficult part isn't finding the opportunity, it's execution. These pricing gaps usually disappear in seconds. If one order fills but the other doesn't, the trade can become a loss. So my bot constantly scans every BTC market, checks fees, validates liquidity, places both orders almost simultaneously and skips what isn't worth the risk. It's less like trading and more like catching tiny accounting mistakes before everyone else notices them. Funny enoughh, the hardest part was not writing arb logic. It was making the execution reliable enough that free money actually stayed free. This completely changed how I think about trading. What's the point of it if you can just fill mispriced BTC markets?? Automatically. The biggest edge is getting AI to execute simple ideas faster and more consistently than any human ever could. Shared the exact build in my last article, leaving it below.
0:39

I asked Claude Fable 5 (Extra High) to build an arb bot for Polymarket. One rule: trade only when YES + NO in 2 hours it almost doubled it (+$98.40) > in 5 hours it showed +$493 PnL > current balance: +$3,279.73 Cost: 7.5M tokens. Here's how it works and why: Every BTC Up/Down market on Polymarket has exactly two outcomes. YES and NO. When the market resolves, one pays $1. The other pays $0. That means owning BOTH sides should always cost exactly $1. But markets aren't perfect. Sometimes YES trades at $0.48 while NO trades at $0.49. Together that's only $0.97 so the bot instantly buys both. A position worth $1... for just $0.97. And Claude knows it, this is the simplest arb that exists. You can paste this to it and use this logic in your prompt. This $0.03 difference is locked in regardless of whether Bitcoin pumps, dumps, or goes sideways. No prediction required. And difficult part isn't finding the opportunity, it's execution. These pricing gaps usually disappear in seconds. If one order fills but the other doesn't, the trade can become a loss. So my bot constantly scans every BTC market, checks fees, validates liquidity, places both orders almost simultaneously and skips what isn't worth the risk. It's less like trading and more like catching tiny accounting mistakes before everyone else notices them. Funny enoughh, the hardest part was not writing arb logic. It was making the execution reliable enough that free money actually stayed free. This completely changed how I think about trading. What's the point of it if you can just fill mispriced BTC markets?? Automatically. The biggest edge is getting AI to execute simple ideas faster and more consistently than any human ever could. Shared the exact build in my last article, leaving it below.

Oracle Boar

78,062 görüntüleme • 27 gün önce

So first things first i have absolutely zero idea about how liquidity provisioning works, i only got some theoretical knowledge when i started yapping about Theoriq. So after much waiting i got my hands on the alpha suite and i decided to test the LP agent just for the fun of it and it was an awesome experience Imagine chatting with an agent and it’s setting up positions in pools to earn you yields, it’s just crazy. Below is a short video showing what I did already because the initial video I did which showed everything was too long…. I was reading everything carefully not to sign off the wrong transactions, lol As you can see the agent provided me with two options yield and recommend the best one, which I even selected because it gave me a reason why it picked it, and as a newbie, why not? WETH/KAITO Fee = 0.3% APY = 93% After that the agent suggested I use a little portion of my wallet balance to open a position, which I did And i signed of a couple of transactions I had ETH so it converted my: - ETH -> WETH - ETH -> KAITO then opened a position for me where I signed more transactions Then i successfully opened a position. It’s quite an experience and I am glad to be part of the first public batch testing out the Theoriq alpha suite.
1:29

So first things first i have absolutely zero idea about how liquidity provisioning works, i only got some theoretical knowledge when i started yapping about Theoriq. So after much waiting i got my hands on the alpha suite and i decided to test the LP agent just for the fun of it and it was an awesome experience Imagine chatting with an agent and it’s setting up positions in pools to earn you yields, it’s just crazy. Below is a short video showing what I did already because the initial video I did which showed everything was too long…. I was reading everything carefully not to sign off the wrong transactions, lol As you can see the agent provided me with two options yield and recommend the best one, which I even selected because it gave me a reason why it picked it, and as a newbie, why not? WETH/KAITO Fee = 0.3% APY = 93% After that the agent suggested I use a little portion of my wallet balance to open a position, which I did And i signed of a couple of transactions I had ETH so it converted my: - ETH -> WETH - ETH -> KAITO then opened a position for me where I signed more transactions Then i successfully opened a position. It’s quite an experience and I am glad to be part of the first public batch testing out the Theoriq alpha suite.

E L I G A N T

15,309 görüntüleme • 1 yıl önce

We mapped this exact trade out live this morning and here is the live execution video with text explanations mapping the rationale for the trades This video showcases a video I did a while back showing how we use stats and align them with live price / manage risk! I often troll people that talk down on negative RR style trading but tbh I share my executions with everyone here all the time and I very rarely actually position myself in a "negative" less than 1 RR in most trades. The fact of the matter is, I just simply dont trade with RR being the goal for my risk but instead the statistical invalidation. The area on the chart that has the LOWEST objective probability of going to, then I analyze the remaining stats for the day and IF my target is sufficient for my risk, I take the trade. This gives me the freedom to not put alot of pressure on being perfect, and being very process oriented vs outcome oriented. In addition to this you even get to see how I take a loss! Have a great weekend 🤟
4:43

We mapped this exact trade out live this morning and here is the live execution video with text explanations mapping the rationale for the trades This video showcases a video I did a while back showing how we use stats and align them with live price / manage risk! I often troll people that talk down on negative RR style trading but tbh I share my executions with everyone here all the time and I very rarely actually position myself in a "negative" less than 1 RR in most trades. The fact of the matter is, I just simply dont trade with RR being the goal for my risk but instead the statistical invalidation. The area on the chart that has the LOWEST objective probability of going to, then I analyze the remaining stats for the day and IF my target is sufficient for my risk, I take the trade. This gives me the freedom to not put alot of pressure on being perfect, and being very process oriented vs outcome oriented. In addition to this you even get to see how I take a loss! Have a great weekend 🤟

Austin Clark

16,704 görüntüleme • 10 ay önce

Why Exchanges Banned This Bot: The 142,000% Return Liquidation Strategy Revealed i finally posted the strategy that got me banned and now the exchanges are probably sweating because i am handing you the keys to the liquidation engine. most people think trading is about charts but the real alpha is hidden in the moments when other traders lose everything. if you can understand why market makers hunt these positions you will never look at a candlestick the same way again. it took years of losing money to liquidations and over trading to realize that hand trading is a losing game for almost everyone on the planet. code is the great equalizer because it removes the emotion that usually causes you to hold a losing position until your account hits zero. i spent hundreds of thousands on developers in the past thinking i could not code myself until i realized i just needed to iterate to success. trading by hand is just driving a horse while everyone else is in a ferrari and the fees alone will chop you up before you even realize you were wrong. i watched a guy with a six million dollar short position sitting just two percent away from total liquidation while i was building this. seeing those numbers on the screen gives me ideas that i can automate into a bot so i dont have to spend my life staring at a monitor. the process i follow is called the rbi system which stands for research backtest and implement. most traders skip the first two steps and go straight to implementation which is why they get smoked on their very first bot. research starts with a backlog of ideas from books or papers or even just watching how the market reacts to big moves. once you have that idea you have to see if it worked in the past using a backtest because if it did not work then it certainly won't work in the future. i have been collecting liquidation data for eighteen months because that data is the lifeblood of a winning system. there is a hidden loop in the market where market makers try to liquidate as many people as possible to find liquidity. i wanted to build a strategy that either trades with that momentum or bets on the bounce right after the liquidation happens. the first strategy i tested was a pure liquidation momentum play that looks for a threshold of nine hundred seventy five thousand dollars in liquidations. when longs get liquidated it shorts the market to continue the down move and it tries to take a one percent profit. this strategy showed a return of over four hundred percent in the backtest while the buy and hold was only thirty three percent. it sounds amazing but you have to be careful with optimized results because you can search with math until you find anything. i decided to flip the logic on its head and create an inverse liquidation strategy that acts as a contrarian. instead of following the move it waits for the longs to get liquidated and then buys the dip after a small price spread. this is where i stumbled onto something that felt like a mistake but turned out to be pure alpha. i accidentally typed in a threshold of three hundred thousand dollars instead of three million and the results were unbelievable. the backtest return jumped to over one hundred forty thousand percent because the bot was catching every single micro bounce in the market. even when i doubled the commission fees to account for the high trade volume the strategy still stayed incredibly profitable. most people would have missed this because they are too busy trying to be right instead of just looking at what the data says. i use tools like claude and cursor to build these bots in minutes when it used to take me an entire week to write the code. if you are not using ai to automate your ideas you are essentially choosing to work ten times harder for less money. i built three separate bots during this session including a momentum bot and two different versions of the inverse spread bot. running these together creates a sort of statistical arbitrage where you can hedge your positions across different market conditions. one bot wins when the market cascades and the other wins when it fakes out and reverses. you have to start with tiny ten dollar sizes because a backtest is never a hundred percent guarantee of what will happen today. i always run my p and l close logic first to make sure the bot exits the position if the stop loss or take profit is hit. it is vital to check your position every fifteen seconds and make sure you are not double ordering or getting stuck in a trade. the goal is to have fully automated systems trading for you so you can actually live your life while the bots do the work. i push all of this code to my private github because i believe that wall street will never show you how this actually works. you have to be a doer and not a dabbler if you want to actually make it in this industry. the reason i show everything live on youtube is to prove that anyone can learn to do this if they are willing to iterate. you dont need to be a math genius you just need to follow the rbi system and stay disciplined with your risk. every liquidation you see on the chart is a signal and if you know how to read them you are no longer the one being hunted. i am currently running the third version of the bot to see how it handles the live market volatility. it is a beautiful thing to see a system enter and exit a trade perfectly without you having to click a single button. the fees are the silent killer of hand traders but a bot can be programmed to use limit orders and stay efficient. if you learn to code you can build anything for the rest of your life regardless of where you are in the world. stop trying to guess which way the candle will go and start building systems that can handle both directions. i am going to keep testing these three strategies against each other to find the ultimate ensemble for this current market. once you find a winning edge you just have to scale it up slowly and keep refining the parameters. the exchanges might not like that i am sharing this but code is the great equalizer and it is time for you to use it. i will be back tomorrow to show the results and keep building more systems until everything is fully automated
1:23:35

Why Exchanges Banned This Bot: The 142,000% Return Liquidation Strategy Revealed i finally posted the strategy that got me banned and now the exchanges are probably sweating because i am handing you the keys to the liquidation engine. most people think trading is about charts but the real alpha is hidden in the moments when other traders lose everything. if you can understand why market makers hunt these positions you will never look at a candlestick the same way again. it took years of losing money to liquidations and over trading to realize that hand trading is a losing game for almost everyone on the planet. code is the great equalizer because it removes the emotion that usually causes you to hold a losing position until your account hits zero. i spent hundreds of thousands on developers in the past thinking i could not code myself until i realized i just needed to iterate to success. trading by hand is just driving a horse while everyone else is in a ferrari and the fees alone will chop you up before you even realize you were wrong. i watched a guy with a six million dollar short position sitting just two percent away from total liquidation while i was building this. seeing those numbers on the screen gives me ideas that i can automate into a bot so i dont have to spend my life staring at a monitor. the process i follow is called the rbi system which stands for research backtest and implement. most traders skip the first two steps and go straight to implementation which is why they get smoked on their very first bot. research starts with a backlog of ideas from books or papers or even just watching how the market reacts to big moves. once you have that idea you have to see if it worked in the past using a backtest because if it did not work then it certainly won't work in the future. i have been collecting liquidation data for eighteen months because that data is the lifeblood of a winning system. there is a hidden loop in the market where market makers try to liquidate as many people as possible to find liquidity. i wanted to build a strategy that either trades with that momentum or bets on the bounce right after the liquidation happens. the first strategy i tested was a pure liquidation momentum play that looks for a threshold of nine hundred seventy five thousand dollars in liquidations. when longs get liquidated it shorts the market to continue the down move and it tries to take a one percent profit. this strategy showed a return of over four hundred percent in the backtest while the buy and hold was only thirty three percent. it sounds amazing but you have to be careful with optimized results because you can search with math until you find anything. i decided to flip the logic on its head and create an inverse liquidation strategy that acts as a contrarian. instead of following the move it waits for the longs to get liquidated and then buys the dip after a small price spread. this is where i stumbled onto something that felt like a mistake but turned out to be pure alpha. i accidentally typed in a threshold of three hundred thousand dollars instead of three million and the results were unbelievable. the backtest return jumped to over one hundred forty thousand percent because the bot was catching every single micro bounce in the market. even when i doubled the commission fees to account for the high trade volume the strategy still stayed incredibly profitable. most people would have missed this because they are too busy trying to be right instead of just looking at what the data says. i use tools like claude and cursor to build these bots in minutes when it used to take me an entire week to write the code. if you are not using ai to automate your ideas you are essentially choosing to work ten times harder for less money. i built three separate bots during this session including a momentum bot and two different versions of the inverse spread bot. running these together creates a sort of statistical arbitrage where you can hedge your positions across different market conditions. one bot wins when the market cascades and the other wins when it fakes out and reverses. you have to start with tiny ten dollar sizes because a backtest is never a hundred percent guarantee of what will happen today. i always run my p and l close logic first to make sure the bot exits the position if the stop loss or take profit is hit. it is vital to check your position every fifteen seconds and make sure you are not double ordering or getting stuck in a trade. the goal is to have fully automated systems trading for you so you can actually live your life while the bots do the work. i push all of this code to my private github because i believe that wall street will never show you how this actually works. you have to be a doer and not a dabbler if you want to actually make it in this industry. the reason i show everything live on youtube is to prove that anyone can learn to do this if they are willing to iterate. you dont need to be a math genius you just need to follow the rbi system and stay disciplined with your risk. every liquidation you see on the chart is a signal and if you know how to read them you are no longer the one being hunted. i am currently running the third version of the bot to see how it handles the live market volatility. it is a beautiful thing to see a system enter and exit a trade perfectly without you having to click a single button. the fees are the silent killer of hand traders but a bot can be programmed to use limit orders and stay efficient. if you learn to code you can build anything for the rest of your life regardless of where you are in the world. stop trying to guess which way the candle will go and start building systems that can handle both directions. i am going to keep testing these three strategies against each other to find the ultimate ensemble for this current market. once you find a winning edge you just have to scale it up slowly and keep refining the parameters. the exchanges might not like that i am sharing this but code is the great equalizer and it is time for you to use it. i will be back tomorrow to show the results and keep building more systems until everything is fully automated

Moon Dev

11,948 görüntüleme • 5 ay önce