Before you read or listen, make sure you never miss another insight and subscribe to James Bulltard on Substack here:
This conversation is for experienced traders, active investors, financial professionals, family offices, advisors, and market participants who understand that markets are not moved only by stories.
They are moved by flows. By levels. By positioning. By machines. By institutions. And most importantly…
By the difference between knowing a company is good and knowing where the trade actually is.
DISCLAIMER: This episode is educational and should not be treated as investment, trading, financial, legal, or tax advice. Always do your own research, and talk with your advisor before putting any real money on the line. Options trading involves substantial risk and is not appropriate for every investor. Do your own diligence, understand your own risk tolerance, and consult a qualified professional before acting.
TL;DR Key Takeaways
James Bulltard is one of the most unusual finance voices on Substack because he has built the highest-conversion “paid community” on Substack around transparency, options flow, technical levels, and a blunt refusal to waste people’s time.
He began learning markets as a kid on Yahoo message boards in the 1990s, long before FinTwit, Discord, Substack, or AI-powered workflows existed.
His early market education came the hard way: buying names, losing money, getting his teeth kicked in, and eventually having someone explain technicals in a way that made the whole game click.
His core operating belief is that a chart either looks good or it does not. That does not mean fundamentals do not matter. It means timing, levels, flows, and price action matter deeply when someone is trying to trade, rather than simply “own” for decades.
James is not a day trader in the frantic sense. He says he rarely makes moves and is highly calculated when he does.
The 21 EMA, or 21-day exponential moving average, is central to his framework. In his view, when a name or index is above the 21 EMA, traders can press. When it breaks below, short-term risk changes.
He keeps his charts simple: 8 EMA, 21 EMA, 50-day, 100-day, and 200-day moving averages.
James believes every stock is a buy somewhere on the chart. The mistake many investors make is believing every good stock is a buy at every level.
His edge is not merely options data. All options data comes from the same core source. His edge is how he filters it, manually logs what he finds relevant, and applies a rules-based process to identify trades that matter.
He personally logs roughly 150 to 160 relevant trades per day, then uses his database and AI to build better trade structures around the institutional flows he sees.
He does not see AI as replacing his judgment. He uses it to scale his rules and apply his parameters across more names than he could manually analyze alone.
His community includes roughly 2,500 people in Discord, including traders across a wide range of account sizes and a meaningful number of finance professionals.
He openly shares his book, entries, exits, and positioning, which he believes is one of the reasons his community trusts him.
The mission began in 2022 with a desire to level the playing field for retail investors who were getting bad information from online “furus” claiming magical entries and exits without real transparency.
His view of the market is simple but not simplistic: institutions leave footprints, machines trade levels, and the individual trader’s job is to stop guessing and start reading where the largest players are actually acting.
The deeper story is that James Bulltard is both avatar and human: a private person who keeps his face offscreen, but has built trust by showing the thing most finance personalities hide.
The book.
Why You Should Listen
This ATOMIQ LEVEL conversation with James Bulltard is not just a trading interview.
It is a rare look inside the operating system of a private trader who has built one of the most compelling paid finance communities on Substack by doing the opposite of what most internet market personalities do.
He does not lead with lifestyle theater. He does not sell certainty. He does not pretend every chart is a mystery. He does not waste time dressing up a weak setup with a good story.
He opens the book. He shows the work. He lets the market judge.
James came up in the old world of Yahoo message boards, where the internet was rougher, slower, and less performative, but still full of the same human impulses that define markets today: greed, fear, ego, hope, confusion, conviction, and the painful education of losing money before learning what the tape is actually saying.
That is where his worldview started. Not in a polished institutional training program. Not in a bank analyst class. Not in a YouTube course. In the messy early internet, as a kid trying to understand why stocks moved and why his own trades kept going wrong.
Then someone taught him technicals. And it clicked.
Three decades later, he has turned that original click into a rules-based workflow that combines moving averages, institutional options flow, manual filtering, AI-powered database analysis, and a Discord community full of people who want one thing:
An edge.
The conversation matters because it sits at the intersection of several powerful themes at once: retail access, institutional footprints, AI leverage, trust as a moat, Substack as a business model, and the difference between being a market commentator and being someone whose actual trades can be seen.
It is also a conversation about humility in a strange form.
James is blunt, sometimes brutally so. He will tell people that if they cannot make money with the information he is putting in front of them, maybe this game is not for them. But beneath the bluntness is a deeper respect for the market. He is not pretending the market owes anyone anything. He is saying the data is there, the levels are there, the flow is there, and the individual trader has to decide whether they are willing to learn how to read it.
Press play on this episode if you want to understand why one anonymous avatar has become one of the most effective paid finance publishers on Substack, how he thinks about the 21 EMA, why he believes options flow offers a live view into institutional intent, and how AI is letting one human’s rules scale across a market that never stops moving.
Because in James Bulltard’s world, the chart either looks good or it does not.
And the tape does not care about your story.
The Avatar Who Opened the Book
James Bulltard, Data Driven Puts, and the Trust Moat Behind One of Substack Finance’s Fastest-Rising Voices
Before James Bulltard became one of the most compelling finance voices on Substack, before the Discord community, before the database, before the AI workflows, before the paid subscribers, before the MarketStack rankings, before the avatar became a recognizable presence inside the finance ecosystem, he was a kid on the Yahoo message boards.
That detail matters.
Because before there was FinTwit, before there was Substack, before there were influencer threads, Discord rooms, algorithmic feeds, live options dashboards, and AI copilots, there were message boards full of strangers trying to figure out the same old game.
What is moving?
Who knows something?
Why did this stock break?
Why did this one run?
Why did I buy it right before it fell?
James was young, curious, and interested in stocks before he fully understood what he was doing. Like many early market obsessives, he learned first through pain. He bought things. He lost. He got his teeth kicked in. He did not yet understand why some stocks were strong, why others were weak, why a good company could still be a bad trade, or why conviction without timing can become very expensive.
Then somebody reached out and explained technicals.
And something in him clicked.
Not partially.
All at once.
From that point forward, James began seeing the market differently. A chart was no longer just a picture of where price had been. It became evidence. It became a visual expression of buying, selling, pressure, strength, weakness, positioning, and probability.
That is the first key to understanding James Bulltard. He is not trying to make markets mystical. He is trying to make them readable.
The Bluntness Is the Brand
There is a reason James’s subscribers respond to him. He does not waste time.
In his own words, a chart either looks good or it does not.
That bluntness is not a performance gimmick. It is part of the operating system. James is not interested in spending twenty minutes explaining why a stock should go higher if the chart is already saying something else. He has very little patience for the kind of market commentary that dresses up uncertainty with confidence or turns every setup into a narrative.
That is why this conversation becomes useful quickly. Chris frames the tension between two investing temperaments: the fundamental investor who wants to own great businesses for the long haul, and the technical trader who understands that a great business is not always a great investment at every price.
James does not reject the idea that great companies can compound over time. In fact, he says it does not take a rocket scientist to know that buying great companies like Amazon or Google can work over long stretches.
But that is not the hard part. The hard part is knowing when the name is strong. When it is weak. When to press. When to step aside.
When the short-term trade has changed, even if the long-term story still sounds beautiful. That is where technicals matter. That is where James lives.
The 21 EMA as the Line in the Sand
Every serious market participant eventually develops a few lines they trust more than others.
For James, one of those lines is the 21 EMA.
The 21 exponential moving average is, in his words, the most important moving average in the market. He describes it as roughly the one-month moving average and treats it as a short-term risk barometer. When a name, index, or setup is above the 21 EMA, he believes there is room to press. When it breaks below, the trader has to start asking what comes next.
He is careful enough to note that most breaks below the 21 EMA do not become catastrophes. Often, the market saves itself a day or two later.
But every major sell-off begins with weakness somewhere. And for James, the break under the 21 EMA is the warning light.
That simplicity is part of the appeal. He is not building a carnival of indicators. He keeps five moving averages on the chart: the 8 EMA, the 21 EMA, the 50-day, the 100-day, and the 200-day.
Short-term barometers. Longer-term structure. Price, flow, and levels.
The deeper idea is not that a moving average is magic. It is that markets are now dominated by computers, algorithms, and institutions that react to levels. The machines are not sitting around reading balance sheets. They are not debating a stock’s long-term brand value. They are buying and selling through programmed levels, triggers, risk controls, liquidity, and momentum.
If you are trading shorter timeframes, James argues, you have to think like the computers.
Because if the machines are trading levels and you are trading feelings, you are playing a different game than the one actually happening.
Every Stock Is a Buy Somewhere
One of the more important ideas in the conversation is deceptively simple.
Every stock is a buy somewhere on the chart.
That does not mean every stock is good. It does not mean every stock should be owned. It does not mean every price is justified.
It means location matters.
This is where James’s worldview becomes useful even for listeners who are not active options traders. The buy-and-hold investor can still learn from the idea that entry matters. The family office can still learn from the idea that position timing changes risk. The advisor can still learn from the idea that markets are not only about what to own, but when to own it, how to size it, and when to stop forcing a story against deteriorating price action.
A great company can be a bad trade. A hated name can become attractive at the right level. A crowded winner can become dangerous below the wrong line. A broken stock can still bounce.
The question is not only, “Is this good?”
The question is, “Where is the trade?”
That is the shift.
The Book as the Moat
James’s rise on Substack did not come from being the loudest finance personality online. It came from transparency.
He says plainly that what made him different was that he was probably one of the first people to actually share his book.
That sentence is the heart of the story.
During the COVID-era explosion of online trading commentary, everyone had opinions. Everyone had screenshots. Everyone had Excel sheets. Everyone seemed to be magically in and out of positions at exactly the right time. The internet was full of people selling confidence, claiming wins, and rarely showing enough detail for anyone to verify the process.
James looked at that landscape and saw a problem.
Retail investors were getting a bad deal.
Too many people were selling the appearance of market competence without showing the evidence that would let a subscriber decide whether the person was actually doing what they claimed.
So James chose a different route.
Show the entries.
Show the exits.
Show the book.
Let people see the volume.
Let them decide.
That transparency became trust.
And trust became the moat.
Chris points this out directly in the conversation. James may not have a traditional institutional moat. Other people can access options data. Other people can use AI. Other people can build dashboards. But not everyone can build the kind of earned trust that comes from four years of showing the work in public.
James’s answer is even simpler. His moat is himself.
The Discord as a Trading Floor
The Discord community is its own character in this story.
James describes it as a world of its own, with roughly 2,500 people inside. Some are trading small books. Others send screenshots of enormous sessions. Many are finance professionals. Some are experienced active traders. They come from different walks of life, but they are there for the same reason.
They want an edge.
James does not pretend the community is designed for absolute beginners who need every term explained from scratch. He is straightforward about that. His work is better suited for people who already understand trading enough to know what they are looking at and want the relevant information filtered into a simple, usable format.
That honesty matters. Not every product is for everyone. Not every community should be beginner-friendly. Not every trading room needs to pretend it can turn anyone into a professional.
James is building for people who can act on an edge if the edge is put in front of them.
And his Discord community gives them something that feels less like a newsletter and more like being a fly on the wall of a live market process.
The Substack is the front door. The Discord is the room where “it” happens.
The Database That Watches the Footprints
The most interesting part of James’s system is not simply that he watches options flow.
Lots of people watch options flow. His distinction is how he filters it.
All options data ultimately comes from the same core source. James does not pretend otherwise. The edge is not in claiming access to magical data no one else can see. The edge is in knowing which trades matter, which ones to ignore, how to classify them, how to log them, and how to build better trades around them.
Each day, James personally logs roughly 150 to 160 trades he considers relevant. This is not fully automated. He is looking through the tape. He has parameters. He has a helper. He has rules. But the judgment is still human.
That is important.
In an era where everyone wants to automate everything, James is not removing himself from the loop. He is placing himself exactly where he believes his judgment matters most: deciding which footprints are worth recording.
Then the database does the next layer of work. It helps build better trades off the institutional flow. The raw trade is not the final trade. It is the clue.
Data Driven Puts
One of the clearest examples comes from put sales.
James explains that when a large institution wants to build a position, it may sell a large amount of puts at a level where it would be willing to own the stock. That put sale is not random noise. It may represent the end result of meetings, analyst work, portfolio manager decisions, risk review, and institutional positioning.
To James, that matters.
A large fund willing to own millions of shares of a company at a specific price is leaving a footprint. The individual trader does not need to pretend to know more than the institution.
The individual trader can ask a better question:
Can I build a better trade around that footprint?
James says someone in his community ran an analysis across thousands of put sales he had logged over several years, and a large majority expired worthless. For a put seller, that is the desired outcome. The nuance is important: he is not saying all put sales have that result. He is talking about the ones he flagged as unusual and relevant.
That is where the database becomes powerful. If the large put sale itself has historically carried attractive probabilities within James’s filtered universe, then building a lower, more conservative put sale around that same institutional footprint may improve the setup even more.
This is the James Bulltard operating system in miniature.
See the institution.
Respect the level.
Filter the data.
Build the better trade.
Do not guess when the tape is showing you where serious money may be willing to act.
AI as a Force Multiplier, Not a Replacement
The AI part of the conversation is especially relevant for the ATOMIQ LEVEL audience.
James is not using AI as a personality replacement. He is not asking the model to become the trader. He is using AI to scale his rules.
That distinction also matters.
He has a rule set for how he views options data. He manually logs what he believes matters. He has years of observed behavior. He knows what he wants the system to examine. AI allows him to apply those parameters across more names, more structures, and more potential trades than he could highlight manually each day.
Before, he might pick five trades a day that he found most interesting. Now, the same parameters can be applied across the broader database.
That is the practical version of human-plus-machine. The human supplies the taste, judgment, filtering, parameters, and context.
The machine supplies the scale.
This is where the conversation becomes about more than trading. It becomes about the future of expertise. James has codified part of his own pattern recognition into a process that can be extended with AI, but the thing being scaled is still his judgment.
That is why the moat is not only the tools. The moat is the human, whose rules, the tool is scaling.
The Live View Versus the Delayed Report
One of James’s sharpest points is his disdain for stale information.
He contrasts live options flow with 13F filings, which show institutional holdings after the fact. By the time most people are studying those filings, the information may already be months old. The trade may have changed. The thesis may have shifted. The hedge may be different. The position may no longer represent what outsiders think it represents.
Options flow, in James’s view, gives a more immediate view.
Not perfect. Not omniscient. Not guaranteed. But live.
If large players are buying puts, selling puts, buying calls, or structuring trades in size, those trades can reveal where institutions are acting now, not where they were positioned last quarter.
That is why James is less interested in storytelling and more interested in the tape. The market leaves clues. Most people just do not know which clues to care about.
The Business of Trust
Jame’s Substack growth story is almost as interesting as the trading story.
James has built a simple funnel. Free subscribers come in through Substack. Paid subscribers receive access to the Discord and a daily recap with market analysis, highlighted names, a database link, and his open book. He sends out an expiring daily database link because the app and Substack are not directly integrated.
It is not overcomplicated. It is not bloated. It is not trying to be everything to everyone. It is a paid relationship built on the belief that the subscriber will receive more value than the monthly price.
James is not shy about that. He charges for value and tells people directly that if they cannot make more than the subscription costs using the amount of information he provides, they may need to find a different hobby.
That may sound harsh.
But in the context of his audience, it is part of the promise. He is not selling comfort. He is selling a filtered edge to people who are supposed to know what to do with one.
That is also why his conversion rate matters. Chris highlights that MarketStack had identified James as one of the strongest finance performers on Substack, not simply because of raw free-subscriber scale, but because his paid conversion performance was extraordinary relative to far larger publications.
That says something important about the future of independent financial media.
Trust converts.
Proof converts.
Utility converts.
Specificity converts.
A faceless avatar can outperform polished media brands if the audience believes the value is real and sees the avatar putting his own money on the line and driving substantial returns consistently.
The Trading Book and the Life Book
There is a revealing moment when James talks about how people should think about money.
He distinguishes between long-term investments and a trading book. He has long-term investments that he does not check often because they are long-term. Then he has trading capital, where the rules are different.
This distinction is essential.
James is not telling people to turn their entire financial life into a casino. He is saying that trading capital should be treated differently from long-term wealth. It should be money someone can afford to lose. It should have its own rules. It should not be confused with retirement capital, core assets, or money needed for life obligations.
That idea may be uncomfortable for some traditional wealth audiences, but it is also clarifying.
Do not pretend your trading book is your family’s long-term financial plan.
Do not pretend your long-term portfolio is a short-term trading account.
Do not use one framework for money that needs different jobs.
That is a Wealth Matters 3.0 ethos at its core. Capital has different roles, each driving towards different matters of wealth in your life and portfolio. Confusing those roles is where trouble begins.
Active Case Study: The Intel Example
The Intel trade becomes the episode’s recurring case study.
James explains that Intel had become one of the hottest names in his database, seeing far more activity than other names. That gave him the conviction to put on a large risk reversal and later a deep-in-the-money call spread. He describes the structure, the strikes, the decay, and why he was not panicking even when the broader market looked weak.
The lesson is not “copy this trade.”
The lesson is his process. He had observed the flow. He ranked the activity. He saw repeated institutional interest. He built the structure. He understood the remaining upside and downside. He knew the conditions under which he would continue to hold.
That is what experienced traders do. They do not simply say, “I like Intel.”
They define the structure. They know the levels. They understand the time decay. They know what still has to happen. They understand where the trade can still work even if the stock moves against them.
For listeners who do not trade options, the mechanics may be advanced. But the principle is simple.
A trade is not an opinion. A trade is a structure.
The Private Man Behind the Avatar
One of the more human elements of the episode is the format itself.
James appears as an avatar. The audience hears his voice but does not see his face. Chris makes clear that this is not a technical error. It is intentional. James is a private person, and the show respects that.
That privacy makes the trust story more interesting, not less.
In a media world obsessed with face, polish, video clips, lifestyle, and personal branding, James has built a high-trust financial community while remaining visually hidden.
That should make every creator and advisor pay attention. The future of media is not only about showing more of yourself. Sometimes it is about showing the right thing.
James does not show his face. He shows his book.
And for his audience, that may matter more, because his book is way sexier than any man could ever be.
The Father Behind the Trader
Near the end of the conversation, another layer appears.
James talks about family. Chris connects it to his own memory of a father who was present, who played catch after school, who may not have been a massive earner but gave something many children do not get enough of: time.
James’s own workday ends when the market closes. That gives him something rare in high-intensity finance: the ability to be present for his kids in a way that matters to him.
That may seem like a small detail after an hour of moving averages, put sales, call spreads, AI models, and options flow.
It is not small.
It may be the detail that explains why this conversation belongs on Wealth Matters 3.0 and why the ATOMIQ LEVEL understanding and acceptance of oneself is the ultimate level we are all trying to get to.
Because the point of building an edge is not only to make money. It is to build a life.
The market closes. The children are waiting. The book can be reopened tomorrow.
Closing Thought
This ATOMIQ LEVEL conversation with James Bulltard is a rare look inside the mind of a trader who has built a business not by hiding the work, but by exposing it.
The story begins with a kid on Yahoo message boards, losing money and trying to understand why. It runs through the early technical lesson that made charts click.
It passes through the COVID-era explosion of online market personalities, where too many people were selling screenshots and confidence without accountability.
It becomes a Substack built on transparency. It becomes a Discord trading floor. It becomes a manually filtered options database. It becomes an AI-assisted rules engine. It becomes a community of professionals and serious traders looking for one more edge. But beneath all of that, the real story is trust.
Trust that the entries are real. Trust that the exits are shown. Trust that the book is open. Trust that the data is filtered. Trust that the person behind the avatar is not wasting your time.
For traders, this episode is a reminder that the market rewards discipline more than narrative. For investors, it is a reminder that even great companies have bad levels.
For advisors and family offices, it is a reminder that clients increasingly want access to transparent, specialized, high-signal independent voices.
For Substack writers, it is a reminder that conversion is not about audience size alone. It is about utility, trust, engagement, and proof.
And for anyone trying to understand the strange new world where one private avatar can outperform far larger finance brands, James Bulltard offers a simple lesson:
Show the work. Filter the noise. Respect the tape.
Press play on this episode with James Bulltard if you want to understand how a private trader turned options flow, moving averages, AI, transparency, and a brutally honest community into one of the most interesting finance businesses on Substack.
Because the market does not care how good your story sounds. It cares where the money is actually moving.
The real risk is doing nothing!
~Chris J Snook
Thank you to everyone who tuned into my live video! Join me for my next live video in the app.
