
Taylor Bennett
223 posts


@Fearless_Trades Nice work, what sort of instruments do you play using?
English

System account just hit 100k 🚀🍻
($1,700 > $100k in 8 months, fully systematic. Or maybe more like 95% systematic).
Now running 13 strategies (12 short, 1 long), all vibe coded using Cursor and Massive.
I know folks have been complaining about small caps lately, and things have been slow.
What I will say is that scalps have been the way to go in this market. All day holds have been rough.
A lot of my system profit has come from trades < 1h so far this year.


English

@Fearless_Trades @martinlukkt The hero trade of the last 5 years was longing SLV and reversing it . That and Meta lmao
English

I've watched all of @martinlukkt's streams like an absolute fan boy. Making 1000% on liquid stocks in 2025 is insane.
Martin Luk@martinlukkt
My first $100k trade. Closed my shorts on $SLV and $GLD. Very unfortunate I can't keep my promise of holding into the 50 EMA. May revisit if there is any rebound.
English

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
English

Have your 𝕏 recommendations improved?
Adam Lowisz X Meetup 🇺🇸🇵🇱🇪🇺🇬🇧🇺🇦@AdamLowisz
The Grok algo lately has been fire 🔥
English

@dreyk0o0 Censorship always comes at interesting times in our quest to be knowledge seekers.
English

Why do they really want to ban AI?
The answer is - money
Lawyers charge $300-500/hour.
AI answers the same question in 10 seconds. For free.
Engineers charge $150-300/hour for consultations.
AI drafts the same technical solution instantly.
So they lobbied. And politicians listened.
The scheme:
→ Law firms donate to campaigns
→ Engineering unions lobby politicians
→ Politicians write the bill
→ You lose free access to expertise
Classic move:
Can't compete → criminalize the competition
The irony?
You can still Google. Still use Stack Overflow. Still read legal forums.
They're not banning information.
They're specifically targeting the version that's free, instant and actually understandable.
Because that's the one regular people use.
Not everyone can afford a $400/hour lawyer when signing a contract.
Not everyone can pay an engineer to review their project.
AI was giving regular people access to knowledge that was gatekept for decades.
That's why they want it gone.
Polymarket@Polymarket
BREAKING: New York bill would ban AI from answering questions related to medicine, law, dentistry, nursing, psychology, social work, engineering, & more.
English
Taylor Bennett retweetledi
Taylor Bennett retweetledi

ChatGPT called a move to $1300 a "Nominal melt-up vs Asset-price supercycle" and it got me thinking to some of my prior comments I have made about global markets entering into a super cycle, here are those comments.

rileyfinancials@rileyfinancials
Throughout my entire career I have studied these "glitches" or darkpools, this by far, is the most extreme one I have ever seen. Attached is an example of $META getting one of these prints right before earnings, and what happened to the stock. $1300 or $70? $SPY $SPX $ES_F
English

@OptsMillionaire Bro, 6850 ES occupancy is crazy high, if anything we might be looking at an inside bar for the year.
English

@OptsMillionaire I followed your alerts way back in the day when you had a free discord. You have good energy. I still remember you calling out "Red on the VIX" like it was yesterday. Ready to hit 10,000 SPX with you, happy new year. Got some cool projects/indicators i'll send your way soon.
English

@OptsMillionaire We are making a ascending triangle and holding the 20 dma, we might hit 7000 soon. Although generally I agree with the distribution pattern thesis we may have one more leg to visit before we continue to rotate and distribute for much of 2026.
English
Taylor Bennett retweetledi

@OptsMillionaire Check out the derivative divergence on the ATM spy call vs its counter part put today bro. That is 100 dollars more that it was possible to be lost than gained. You can even search for the better gamma scenario it still is shy of the downside potential.


English
Taylor Bennett retweetledi











