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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... with Ultra TradingView and record the entire process to see whether it could genuinely make mobile trading more efficient. 1⃣ Workflow #1: Managing an Open BTC Position After identifying a support zone, I opened a BTC long at 59.397. 🎯 Take Profit: 59.491 🛡 Stop Loss: 59.342 What I really wanted to test wasn't the order execution speed, but how convenient it is to manage an open position afterward. Instead of switching to a separate Position panel like I usually do on other platforms, I simply dragged both my Take Profit and Stop Loss levels directly on the chart. Every adjustment was reflected instantly, making the entire position management process much more intuitive. 2⃣ Workflow #2: Planning Two ETH Scenarios For ETH, I didn't rush into a market order. Instead, I prepared two trading scenarios in advance. 📍 Long Entry: 1,564 📍 Short Entry: 1,573 Both pending orders were placed directly within the TradingView chart, allowing me to monitor my trading plan, adjust entry levels when needed, and manage multiple scenarios without leaving the chart. After several days of using Ultra TradingView, what impressed me most wasn't the 108 technical indicators or 86 drawing tools. It was the trading workflow itself. From market analysis to order placement and position management, everything happens on a single chart. For someone who trades frequently on mobile, eliminating unnecessary screen switching makes a noticeable difference especially during fast-moving markets. I've included the full trading session in the video below so you can see exactly how I used Ultra TradingView across these two different trading scenarios. If you've already tried it, I'd love to hear how it fits into your own trading workflow. #BingXUltraTV BingXshow more

DGroup Capital 🇻🇳

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19,651 Aufrufe • vor 27 Tagen •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.

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 💜

445,929 Aufrufe • vor 4 Monaten

Qullamaggie on Big Losses “Do you know what happens every time I take a big loss? My trading goes to the next level. Because if you take a big loss, right? And you make it back or make most of it back, you know that, okay, I took that big loss, I survived. Then you can take your trading to the next level. If you're gonna scale your trading up, right? If you go from trading $10,000 positions to $100,000 positions to multi-million dollar positions, you're always going to take new record losses. That's how you scale your trading. Record gains and record losses. That's the way you scale your trading. You got to get used to it. It's going to happen to me many, many times over in my trading career. I never experienced something like this. And that's the thing in trading. You got to be prepared for anything, like literally anything can happen. Every year something crazy happens to you in trading. Obviously you can't be prepared for everything but you know, you just gotta be prepared for the fact that something crazy is gonna happen. No matter what.

Qullamaggie on Big Losses “Do you know what happens every time I take a big loss? My trading goes to the next level. Because if you take a big loss, right? And you make it back or make most of it back, you know that, okay, I took that big loss, I survived. Then you can take your trading to the next level. If you're gonna scale your trading up, right? If you go from trading $10,000 positions to $100,000 positions to multi-million dollar positions, you're always going to take new record losses. That's how you scale your trading. Record gains and record losses. That's the way you scale your trading. You got to get used to it. It's going to happen to me many, many times over in my trading career. I never experienced something like this. And that's the thing in trading. You got to be prepared for anything, like literally anything can happen. Every year something crazy happens to you in trading. Obviously you can't be prepared for everything but you know, you just gotta be prepared for the fact that something crazy is gonna happen. No matter what.

Lone

11,022 Aufrufe • vor 1 Jahr

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.

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

371,829 Aufrufe • vor 7 Monaten

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 📈

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 Aufrufe • vor 7 Monaten

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.

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 Aufrufe • vor 5 Monaten

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

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

55,079 Aufrufe • vor 7 Monaten

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!

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

871,409 Aufrufe • vor 7 Monaten

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.

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

26,947 Aufrufe • vor 1 Jahr

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 📈

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 Aufrufe • vor 9 Monaten

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.

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 Aufrufe • vor 6 Monaten

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.

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

84,865 Aufrufe • vor 3 Monaten

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 ↓

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

20,376 Aufrufe • vor 2 Monaten

$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.

$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

18,828 Aufrufe • vor 1 Monat

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:

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 Aufrufe • vor 4 Monaten

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!

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

152,917 Aufrufe • vor 20 Tagen

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 🤟

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

16,670 Aufrufe • vor 9 Monaten

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.

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 Aufrufe • vor 1 Jahr

Easy way to decide to buy or hold or sell the stock with help of ChatGPT: 1. Take screenshot of your chart from TradingView 2. Paste it in chatGPT and give the following prompt *"Here is a stock chart (screenshot attached). Please analyze it in detail and give me a full report covering both technicals and fundamentals: Technical Analysis Explain EMA, RSI, volume, and any other indicators visible on the chart. Identify support and resistance levels. Highlight short-term and medium-term trend (bullish, bearish, or consolidation). Mention any chart patterns forming (breakout, breakdown, double top, cup & handle, etc.). Fundamental Analysis Provide latest financial data (revenue, profit, margins, debt, ROE, ROCE, EPS, P/E, valuation). Comment on growth trends (sales/profit CAGR, industry position). Highlight strengths and risks. Recent Price Action Explain what might be causing the stock to rise or fall recently. Compare valuation vs. peers if possible. Investment View Should I buy, hold, or sell at current levels? Give possible entry levels, stop-loss, and targets (short-term and medium-term). Suggest whether this stock is good for trading, long-term investing, or avoid for now."*

Easy way to decide to buy or hold or sell the stock with help of ChatGPT: 1. Take screenshot of your chart from TradingView 2. Paste it in chatGPT and give the following prompt "Here is a stock chart (screenshot attached). Please analyze it in detail and give me a full report covering both technicals and fundamentals: Technical Analysis Explain EMA, RSI, volume, and any other indicators visible on the chart. Identify support and resistance levels. Highlight short-term and medium-term trend (bullish, bearish, or consolidation). Mention any chart patterns forming (breakout, breakdown, double top, cup & handle, etc.). Fundamental Analysis Provide latest financial data (revenue, profit, margins, debt, ROE, ROCE, EPS, P/E, valuation). Comment on growth trends (sales/profit CAGR, industry position). Highlight strengths and risks. Recent Price Action Explain what might be causing the stock to rise or fall recently. Compare valuation vs. peers if possible. Investment View Should I buy, hold, or sell at current levels? Give possible entry levels, stop-loss, and targets (short-term and medium-term). Suggest whether this stock is good for trading, long-term investing, or avoid for now."

Sneha S

60,295 Aufrufe • vor 10 Monaten

I Built a 37.0 Profit Factor Bot by Cracking Every TradingView Source Code tradingview is a gold mine hiding in plain sight and i just found the master key to unlock every single secret hidden within its community scripts. most traders spend their entire lives staring at candles and hoping for a miracle while the actual alpha is buried in the open source code that nobody bothers to look at. i used to be that guy who sat there getting liquidated at three in the morning because i thought i could outplay the market with my gut feeling and some drawings on a screen. it turns out that the game is completely rigged against you if you are trading manually but there is a specific way to flip the script. i am going to show you how to stop guessing and start knowing exactly what works across every possible market condition before you ever risk a single dollar. i spent years losing money and thousands on developers because i thought i was not smart enough to code the systems myself but i was wrong. the first step to cracking the market is realizing that every indicator on the super charts has a source code section that is completely open to the public. you can literally scroll through the community scripts and pull the exact logic for thousands of different strategies that people claim are the holy grail of trading. but the secret is not just having the code because most of these indicators are actually garbage that will blow your account up in a week. this is where the real loop opens because you need a way to test these ideas across twenty five different data sets in seconds rather than months. i use a custom setup with ai agents specifically a sub agent i call the backtest architect to handle the heavy lifting of turning pine script into python code. the goal is to create a factory where you can feed in a raw indicator and get back a full report on its expectancy and profit factor without lifting a finger. most people find one strategy and marry it for life but a real data dog knows that you have to iterate to success or you will get left behind. i am running eighty one different backtests right now because i know that ninety percent of what i find will be trash but that remaining ten percent is where the wealth is made. the backtest architect knows exactly how to structure the folders and data paths so that we are testing everything from the base indicator to complex versions with filters. you might think that popular tools like fibonacci or order blocks are the way to go because everyone on social media talks about them like they are law. but when i actually ran the numbers through the machine the results were embarrassing and most of those strategies just resulted in negative expectancy. it is a dangerous trap to follow the crowd into a trade just because some guru said a certain level was important when the data shows it is a coin flip at best. the dynamic swing indicator was one of the few that actually held its weight during the recent massive testing sessions we ran. it was pulling in profit factors of over thirty seven with annualized returns that look too good to be true until you see the trade list. we combined it with filters like the adx and the money flow index to see if we could refine the signals and the results were absolutely staggering. when you have a system that can run through forty data sets while you are drinking tea you realize that manual trading is a form of self harm. i realized this after spending hundreds of thousands on apps and devs only to find out that i could just learn to build these bots myself live on the internet. the speed of iteration is the only thing that matters in this game because the faster you can fail the faster you can find the one strategy that actually prints. one of the biggest hurdles i faced was thinking that i needed to be a math genius or a senior engineer to automate my trading systems. the truth is that code is the great equalizer because it allows a regular person to compete with massive hedge funds by using the same logic and speed. i decided to learn everything in public because i wanted people to see the process of losing money with liquidations and then finally finding a path to automation. the reality of the market is that it moves in cycles and what worked yesterday will almost certainly fail tomorrow unless you are constantly testing. that is why i built the agents to automatically look through the results folder and rank the top performers based on a composite score. it takes all the emotion out of the process because i am no longer looking for a reason to enter a trade i am just looking at a csv file that tells me the truth. if you are still drawing lines on a chart and hoping for the best you are basically playing a game of chance against a high speed casino. the transition from a manual trader to a systems builder is the single most important pivot you will ever make in your life. it is not about being right or wrong it is about having a positive expectancy that has been proven across thousands of trades and multiple years of history. i had to fix a few errors in the short selling logic where the agents were getting confused between maximum and minimum values for take profit levels. these tiny bugs are the difference between a winning system and a blown account so you have to be willing to dive into the code and refine the machine. but once the system is tuned and the sub agents are running it becomes a beautiful workflow that functions entirely without your input. we are currently moving through the editors picks and the trending indicators one by one because i want to have a database of every single strategy on the platform. being a data dog means you never stop searching for that edge and you never settle for a strategy that just looks okay on a single chart. you have to demand excellence from your code because the market will not give you a single inch of mercy if you are lazy with your research. the ultimate goal is to have fully automated systems trading for you so you can focus on scaling rather than staring at a screen for ten hours a day. i am already up to over eighty backtests in this single session and i plan on hitting hundreds more by the end of the week. once you realize that you can crack the code of any indicator you see on the internet you will never look at a chart the same way again. this is the power of using agents to bridge the gap between a raw idea and a finished trading bot that actually works in the real world. i am done with getting liquidated and i am done with the stress of over trading because the code handles everything with cold precision. the path to success is paved with data and if you are not willing to automate your process you are just waiting for your next liquidation to happen

I Built a 37.0 Profit Factor Bot by Cracking Every TradingView Source Code tradingview is a gold mine hiding in plain sight and i just found the master key to unlock every single secret hidden within its community scripts. most traders spend their entire lives staring at candles and hoping for a miracle while the actual alpha is buried in the open source code that nobody bothers to look at. i used to be that guy who sat there getting liquidated at three in the morning because i thought i could outplay the market with my gut feeling and some drawings on a screen. it turns out that the game is completely rigged against you if you are trading manually but there is a specific way to flip the script. i am going to show you how to stop guessing and start knowing exactly what works across every possible market condition before you ever risk a single dollar. i spent years losing money and thousands on developers because i thought i was not smart enough to code the systems myself but i was wrong. the first step to cracking the market is realizing that every indicator on the super charts has a source code section that is completely open to the public. you can literally scroll through the community scripts and pull the exact logic for thousands of different strategies that people claim are the holy grail of trading. but the secret is not just having the code because most of these indicators are actually garbage that will blow your account up in a week. this is where the real loop opens because you need a way to test these ideas across twenty five different data sets in seconds rather than months. i use a custom setup with ai agents specifically a sub agent i call the backtest architect to handle the heavy lifting of turning pine script into python code. the goal is to create a factory where you can feed in a raw indicator and get back a full report on its expectancy and profit factor without lifting a finger. most people find one strategy and marry it for life but a real data dog knows that you have to iterate to success or you will get left behind. i am running eighty one different backtests right now because i know that ninety percent of what i find will be trash but that remaining ten percent is where the wealth is made. the backtest architect knows exactly how to structure the folders and data paths so that we are testing everything from the base indicator to complex versions with filters. you might think that popular tools like fibonacci or order blocks are the way to go because everyone on social media talks about them like they are law. but when i actually ran the numbers through the machine the results were embarrassing and most of those strategies just resulted in negative expectancy. it is a dangerous trap to follow the crowd into a trade just because some guru said a certain level was important when the data shows it is a coin flip at best. the dynamic swing indicator was one of the few that actually held its weight during the recent massive testing sessions we ran. it was pulling in profit factors of over thirty seven with annualized returns that look too good to be true until you see the trade list. we combined it with filters like the adx and the money flow index to see if we could refine the signals and the results were absolutely staggering. when you have a system that can run through forty data sets while you are drinking tea you realize that manual trading is a form of self harm. i realized this after spending hundreds of thousands on apps and devs only to find out that i could just learn to build these bots myself live on the internet. the speed of iteration is the only thing that matters in this game because the faster you can fail the faster you can find the one strategy that actually prints. one of the biggest hurdles i faced was thinking that i needed to be a math genius or a senior engineer to automate my trading systems. the truth is that code is the great equalizer because it allows a regular person to compete with massive hedge funds by using the same logic and speed. i decided to learn everything in public because i wanted people to see the process of losing money with liquidations and then finally finding a path to automation. the reality of the market is that it moves in cycles and what worked yesterday will almost certainly fail tomorrow unless you are constantly testing. that is why i built the agents to automatically look through the results folder and rank the top performers based on a composite score. it takes all the emotion out of the process because i am no longer looking for a reason to enter a trade i am just looking at a csv file that tells me the truth. if you are still drawing lines on a chart and hoping for the best you are basically playing a game of chance against a high speed casino. the transition from a manual trader to a systems builder is the single most important pivot you will ever make in your life. it is not about being right or wrong it is about having a positive expectancy that has been proven across thousands of trades and multiple years of history. i had to fix a few errors in the short selling logic where the agents were getting confused between maximum and minimum values for take profit levels. these tiny bugs are the difference between a winning system and a blown account so you have to be willing to dive into the code and refine the machine. but once the system is tuned and the sub agents are running it becomes a beautiful workflow that functions entirely without your input. we are currently moving through the editors picks and the trending indicators one by one because i want to have a database of every single strategy on the platform. being a data dog means you never stop searching for that edge and you never settle for a strategy that just looks okay on a single chart. you have to demand excellence from your code because the market will not give you a single inch of mercy if you are lazy with your research. the ultimate goal is to have fully automated systems trading for you so you can focus on scaling rather than staring at a screen for ten hours a day. i am already up to over eighty backtests in this single session and i plan on hitting hundreds more by the end of the week. once you realize that you can crack the code of any indicator you see on the internet you will never look at a chart the same way again. this is the power of using agents to bridge the gap between a raw idea and a finished trading bot that actually works in the real world. i am done with getting liquidated and i am done with the stress of over trading because the code handles everything with cold precision. the path to success is paved with data and if you are not willing to automate your process you are just waiting for your next liquidation to happen

Moon Dev

26,010 Aufrufe • vor 4 Monaten

Three days ago I asked myself a dumb question. It was so stupid I was actually ashamed to Google it. Can AI earn money while I sleep? Not saving time. Not automating routine. I mean putting real money into my account while I am not looking at the screen. Everyone says ClawdBot will change how we work. Automation. Task management. Smart replies. But I was sitting in my kitchen thinking about something else entirely. You know that feeling when you look at a tool and realize everyone is using only 1% of its potential? It is like being given a race car and only using it to drive to the store for bread. I decided to test it. I started a notebook. I record everything. > Day One I started with something simple. I gave Clawdbot a task. Find wallets on Polymarket where the numbers do not add up. Where the profit is too high for the win rate. Where the result smells like a system rather than luck. It thought for 14 minutes. I had time to pour a coffee and forget about it. Then the screen flashed. 4 addresses. I scrolled through the first three in a minute. Big bets on politics. They guessed the election. Classic. On the fourth one I stopped. Not because it was the most profitable but because I did not understand what I was looking at. The wallet was not trading politics or sports or anything people write reviews about. It was trading the weather. I read it three times. Weather. Will it be 9 degrees in London tomorrow? Will it rain in Tokyo? These are markets I would not even click on by accident. Then I looked at the numbers. > It started with $27. It is now at $63,853. $27 is two trips to McDonald's. It is nothing. $63,853 is a new car or a down payment on an apartment. It is two years of someone's salary. Between those two numbers was only one thing. Thousands of bets on rain. I closed the tab. Opened it again. Checked if it was a glitch. Real dollars. On markets that look like a bad joke. > Day Two I could not get that wallet out of my head. I went to look at its transaction history. I expected to find one big win that explained everything. A lucky hurricane forecast. Instead I saw thousands of small bets. Boring. "Will the temperature in New York be above 15 degrees?" Then I noticed the detail that finally broke my brain. Its win rate: 33%. It loses more often than it wins. 2 out of 3 bets go to zero. Any normal person with that result would be posting about how the market is unfair. Yet this wallet is sitting on $63,000 in profit. How? I started deconstructing the trades. After an hour I got it. When it loses, it loses 10 or 20 cents. When it wins, it takes $1.00. Loses 9 times in a row? Lost $1.80. Wins 1 time? Got $10.00. > This is not trading. It is math that works as long as you do not interfere with your emotions. Here is how it works. Weather is one of the most predictable things on the planet. Governments invest billions in satellites. Data is updated every 2 or 3 hours. Precision to a tenth of a degree. This data is public. But Polymarket is not a weather station. It updates its markets with a delay of 6 or 8 hours. Imagine the situation. 6 AM. The weather service updated the forecast. The probability that London reaches 9 degrees tomorrow rose to 80%. Algorithms everywhere already recalculated the data. But on Polymarket the YES button is still sitting there for 10 cents. Because the market has not woken up yet. This bot sees the difference. It buys YES for 10 cents when the real probability is already 80%. It is not guessing. It is buying what is essentially already known. It just waits a day and collects the dollar. 10 cents turn into a dollar. On information available to anyone who can read weather APIs. That evening I called a friend. He has been trading for 3 years. He sits in analytical chats. Draws support levels. I asked him: "How was the last month?" "I broke even. The market is tough right now. Too much noise." I looked at the screen. A bot betting on rain with a 33% win rate. Profit: $63,853. My friend with 3 years of experience and hundreds of hours of analysis. Profit: $0. Who is doing it wrong? I am not asking you to take my word for it. The blockchain does not lie: > Day Three I decided to dig deeper. I looked at the wallet description. I expected something complex. A hedge fund. A team of developers. Secret data sources. I found one line: Claude plus public weather APIs. Ordinary Claude. The one on your phone. Connected to free weather services. No secret stations. No insiders. No millions for infrastructure. Just an AI doing what any of us could do. But we are too lazy. Or bored. Or we think it is too simple to work. If someone already built this with basic Claude and free APIs... What happens when Clawdbot gets direct access to trading? > Day Four I watched the wallet in real time. First bet: loss. Second bet: loss. Third bet: loss. I thought: this is it. The statistics are collapsing. Fourth bet: loss. Fifth bet: loss. Down $12 in an hour. I was ready to write a post about how I overestimated this. Sixth bet: Temperature in Chicago. Win. +$87. Seventh bet: Win. +$94. By evening: 9 losses. 5 wins. Daily total: +$385. No emotions. No posts about injustice. No strategy changes after a loss. Just the next bet. I wrote to my friend. The one who has been trading for 3 years. "How was your day?" "Down $200. Market makers caught my stop loss again." I looked at the screen. A bot with no posts and no loud claims. +$385 for the day on rain bets. My friend with 3 years of experience and dozens of books. Minus $200 and a post about how the system is against him. > Day Five I woke up with a thought that kept me up all night. It finally hit me. It is not about the weather. It is not about APIs. It is not that the bot is "smarter". > It is about what the bot does NOT have: an ego that hates being wrong. No urge to revenge-trade. No boredom from repetition. My friend trades against the market. He tries to be smarter than the crowd. This bot trades against human nature. And nature loses every day. Clawdbot found me this wallet in 14 minutes. The weather bot turned $27 into $63,000 on markets everyone else thinks are trash. Both use the same principle. Do something simple. Remove emotions. Repeat. I do not know when Clawdbot will start trading on its own. Maybe in a month. Maybe in a year. But I know one thing. While we discuss if it is possible... Someone already set up their bot and went to live their life. Right now as you read this. Somewhere a weather service updated a forecast. Polymarket is sleeping. The bot is already entering a position. And my friend is writing a post about how market makers do not let honest people earn. Guess who wakes up tomorrow with money in their account?

Three days ago I asked myself a dumb question. It was so stupid I was actually ashamed to Google it. Can AI earn money while I sleep? Not saving time. Not automating routine. I mean putting real money into my account while I am not looking at the screen. Everyone says ClawdBot will change how we work. Automation. Task management. Smart replies. But I was sitting in my kitchen thinking about something else entirely. You know that feeling when you look at a tool and realize everyone is using only 1% of its potential? It is like being given a race car and only using it to drive to the store for bread. I decided to test it. I started a notebook. I record everything. > Day One I started with something simple. I gave Clawdbot a task. Find wallets on Polymarket where the numbers do not add up. Where the profit is too high for the win rate. Where the result smells like a system rather than luck. It thought for 14 minutes. I had time to pour a coffee and forget about it. Then the screen flashed. 4 addresses. I scrolled through the first three in a minute. Big bets on politics. They guessed the election. Classic. On the fourth one I stopped. Not because it was the most profitable but because I did not understand what I was looking at. The wallet was not trading politics or sports or anything people write reviews about. It was trading the weather. I read it three times. Weather. Will it be 9 degrees in London tomorrow? Will it rain in Tokyo? These are markets I would not even click on by accident. Then I looked at the numbers. > It started with $27. It is now at $63,853. $27 is two trips to McDonald's. It is nothing. $63,853 is a new car or a down payment on an apartment. It is two years of someone's salary. Between those two numbers was only one thing. Thousands of bets on rain. I closed the tab. Opened it again. Checked if it was a glitch. Real dollars. On markets that look like a bad joke. > Day Two I could not get that wallet out of my head. I went to look at its transaction history. I expected to find one big win that explained everything. A lucky hurricane forecast. Instead I saw thousands of small bets. Boring. "Will the temperature in New York be above 15 degrees?" Then I noticed the detail that finally broke my brain. Its win rate: 33%. It loses more often than it wins. 2 out of 3 bets go to zero. Any normal person with that result would be posting about how the market is unfair. Yet this wallet is sitting on $63,000 in profit. How? I started deconstructing the trades. After an hour I got it. When it loses, it loses 10 or 20 cents. When it wins, it takes $1.00. Loses 9 times in a row? Lost $1.80. Wins 1 time? Got $10.00. > This is not trading. It is math that works as long as you do not interfere with your emotions. Here is how it works. Weather is one of the most predictable things on the planet. Governments invest billions in satellites. Data is updated every 2 or 3 hours. Precision to a tenth of a degree. This data is public. But Polymarket is not a weather station. It updates its markets with a delay of 6 or 8 hours. Imagine the situation. 6 AM. The weather service updated the forecast. The probability that London reaches 9 degrees tomorrow rose to 80%. Algorithms everywhere already recalculated the data. But on Polymarket the YES button is still sitting there for 10 cents. Because the market has not woken up yet. This bot sees the difference. It buys YES for 10 cents when the real probability is already 80%. It is not guessing. It is buying what is essentially already known. It just waits a day and collects the dollar. 10 cents turn into a dollar. On information available to anyone who can read weather APIs. That evening I called a friend. He has been trading for 3 years. He sits in analytical chats. Draws support levels. I asked him: "How was the last month?" "I broke even. The market is tough right now. Too much noise." I looked at the screen. A bot betting on rain with a 33% win rate. Profit: $63,853. My friend with 3 years of experience and hundreds of hours of analysis. Profit: $0. Who is doing it wrong? I am not asking you to take my word for it. The blockchain does not lie: > Day Three I decided to dig deeper. I looked at the wallet description. I expected something complex. A hedge fund. A team of developers. Secret data sources. I found one line: Claude plus public weather APIs. Ordinary Claude. The one on your phone. Connected to free weather services. No secret stations. No insiders. No millions for infrastructure. Just an AI doing what any of us could do. But we are too lazy. Or bored. Or we think it is too simple to work. If someone already built this with basic Claude and free APIs... What happens when Clawdbot gets direct access to trading? > Day Four I watched the wallet in real time. First bet: loss. Second bet: loss. Third bet: loss. I thought: this is it. The statistics are collapsing. Fourth bet: loss. Fifth bet: loss. Down $12 in an hour. I was ready to write a post about how I overestimated this. Sixth bet: Temperature in Chicago. Win. +$87. Seventh bet: Win. +$94. By evening: 9 losses. 5 wins. Daily total: +$385. No emotions. No posts about injustice. No strategy changes after a loss. Just the next bet. I wrote to my friend. The one who has been trading for 3 years. "How was your day?" "Down $200. Market makers caught my stop loss again." I looked at the screen. A bot with no posts and no loud claims. +$385 for the day on rain bets. My friend with 3 years of experience and dozens of books. Minus $200 and a post about how the system is against him. > Day Five I woke up with a thought that kept me up all night. It finally hit me. It is not about the weather. It is not about APIs. It is not that the bot is "smarter". > It is about what the bot does NOT have: an ego that hates being wrong. No urge to revenge-trade. No boredom from repetition. My friend trades against the market. He tries to be smarter than the crowd. This bot trades against human nature. And nature loses every day. Clawdbot found me this wallet in 14 minutes. The weather bot turned $27 into $63,000 on markets everyone else thinks are trash. Both use the same principle. Do something simple. Remove emotions. Repeat. I do not know when Clawdbot will start trading on its own. Maybe in a month. Maybe in a year. But I know one thing. While we discuss if it is possible... Someone already set up their bot and went to live their life. Right now as you read this. Somewhere a weather service updated a forecast. Polymarket is sleeping. The bot is already entering a position. And my friend is writing a post about how market makers do not let honest people earn. Guess who wakes up tomorrow with money in their account?

Blaze

29,808 Aufrufe • vor 5 Monaten