How much does a trader's mindset change after years of trading?

How much does a trader's mindset change after years of trading?

Rihari says his trading mindset changed almost completely across three years, from copying chart patterns and chasing quick profits to reading market structure the way institutions do. The shift moved him from emotional, pattern-based guessing toward a probability-based process built on discipline, risk management and mentorship.

The podcast frames this through a direct comparison. Rihari and his co-host react to a TikTok Rihari posted roughly three years earlier, filmed from a home setup in his son's room, where he talks about spotting a head-and-shoulders pattern and asks whether it means a sell-off is coming. Watching it back, Rihari says the version of himself in that clip would not recognise how he trades now, and that the only message he would send back is "don't give up."

That gap between the two versions of the same trader is the spine of the whole episode. Almost every clip they react to, from other traders' viral moments to trading-psychology lectures, gets measured against the same question: would beginner Rihari have understood this, and does experienced Rihari trade it differently. The answer is consistently that the underlying market behaviour has not changed, but the way he interprets it and reacts to it has.

What stages mark a trader's shift from beginner to experienced trader?

Based on Rihari's account in the video, the shift from beginner to experienced trader happens in stages: emotional pattern trading, a losing streak that nearly ends the journey, finding a mentor, funded-account discipline, and finally a personal probability-based system traded across multiple pairs.

1. Early pattern chasing. Rihari says he started by looking for textbook shapes like head-and-shoulders patterns, the same way many beginners do, without understanding why those patterns actually form in the market.
2. Emotional euphoria. The video shows reaction clips of traders talking about early wins triggering thoughts of buying a Lambo, a house, or a golf course, what the co-host calls the "euphoric feeling" every beginner trader gets after a good run.
3. A near give-up point. Rihari says there were times he asked himself whether anyone actually makes money trading, after a stretch of losing.
4. Finding a mentor. Rihari says the turning point was finding someone who could teach him properly, which he credits directly for stopping him from quitting trading altogether.
5. Funded-account discipline. Rihari says he began on funded accounts and used the strict rules that come with them, including payout structures and lockouts, to build discipline before he had proven it himself.
6. Moving to a personal account. Rihari says he moved to trading a personal account once he was consistently profitable, to keep the full benefit of compounding that a funded account's profit split removes.
7. Trading extremes across multiple pairs. Rihari and the co-host describe the current approach as entering only from the extremes of a range with confirmation, across roughly eight currency pairs, instead of guessing at trades in the middle of a range.

Why do experienced traders stop trading on emotion?

Rihari and his co-host say experienced traders remove emotion by trading a fixed probability-based plan and refusing to change it after a loss, since changing the system after one loss corrupts the data they use to judge whether it actually works.

They illustrate the point by reacting to a clip of Mark Douglas, author of Trading in the Zone, explaining why analysis alone cannot stop the pain of a loss. Douglas says a trader operating from the fear of being wrong, the fear of losing money, and the fear of missing out cannot avoid the emotional pain of what it means to lose, no matter how good the analysis is. His fix, as the video presents it, is to take each trade out of a "right or wrong, win or lose" context entirely, so an individual loss no longer means the trader is wrong or a loser.

Rihari's read on this, stated directly in the podcast, is that no matter which strategy a trader uses, they have to stay disciplined to it, work losses into the system, build a track record of statistics, and not let a single loss change the plan. He contrasts this with a clip of two traders reacting differently to a loss: one shows no visible emotion and carries on with her day, while the other stays glued to the screen watching every candle. Rihari and the co-host say the emotionless trader, not the one glued to the screen, is "the trader you want to be," even though both clips show a trade that ends in profit.

How does risk taking change from a beginner to an experienced trader?

The video's Merrill Lynch trading-floor story, about a trader who scaled from one or two contracts to two or three hundred after a winning streak and lost roughly a million dollars, illustrates how beginners risk more as confidence rises, while experienced traders keep position size fixed regardless of recent results.

In the clip, a trading psychologist describes a floor trader at Merrill Lynch in the early 1980s who spent years barely earning fifty or seventy-five dollars a day trading one or two contracts at a time. After a winning streak built his confidence, he began sizing up, and on one trade in the S&P pit he held two to three hundred contracts before a clearing firm noticed and he had lost about a million dollars. The psychologist's point, as stated in the clip, is that beliefs can operate below conscious awareness, so a trader can consciously know the rules and still act against them once confidence and ego take over.

Rihari and the co-host say the floor trader's mistake was letting consistency turn into ego. Rihari says the trader's early results came from discipline, and once he stopped crediting the discipline and started crediting himself, he abandoned the position sizing that had been keeping him consistent. Their conclusion, stated plainly in the podcast, is that going against a trading plan after a winning streak is "where people lose accounts."

What is the difference between trading a personal account and a funded account?

The video breaks down personal accounts against funded accounts on profit split, overnight rules, and money at risk. Rihari says funded accounts suit beginners because they enforce discipline through rules, while a personal account rewards a trader who has already proven that discipline.

| Factor | Personal account (per the video) | Funded account (per the video) | |---|---|---| | Profit split | Trader keeps 100% of profits | Typically an 80/20 split, trader keeps 80% | | Overnight and weekend positions | No restriction, entirely the trader's choice | Often restricted, commonly not allowed | | Money at risk if the account is lost | The full amount deposited, for example $1,000 | Only the fee paid for access, for example $100 | | Capital required to start | Full trading capital, which many beginners do not have | A smaller fee buys access to a larger funded balance, for example $50,000 | | Discipline enforcement | None built in; entirely self-imposed | Built in, for example a lockout after a daily profit target or loss limit |

Rihari says one of the trading community members he mentors is on a funded account with a lockout rule that stops trading for twelve or twenty-four hours, until the next session opens, once a daily goal is hit. He says that kind of forced break is "good for people to be learning discipline." At the same time, Rihari says funded accounts remove the benefit of compounding because of their payout structure, and says he does not like that a blown funded account can make a trader believe they "can't trade," when the underlying skill may still be sound. His own account of moving from funded accounts early on to a personal account once he was consistent reflects that view directly, rather than a claim about what any other trader should expect to earn.

How does chart reading change from copying patterns to institutional thinking?

Rihari says he used to trade off textbook patterns like head-and-shoulders and trend-line breakouts without understanding why they formed. He says the shift came from learning to read market structure and think like the institutions that actually move price, rather than following a shape on a chart.

The podcast reacts to a finance-education clip that walks through why a head-and-shoulders pattern forms: a stock making higher highs and higher lows prints a shoulder and a head, then a lower high warns of caution, and a lower low completes the pattern by breaking the prior structure. Rihari says that once he understood the pattern this way, as a market moving from bullish to bearish structure, the label itself became less important than the structural shift underneath it. He says a head-and-shoulders shape can appear without clear confirmation, and traders who chase the label without a confirmed change of character get "hit out of it."

The video also includes an unnamed institutional trader explaining that professional buyers do not wait for the confirmation that trading books teach retail traders to wait for. In the clip, the trader says an institution wants to buy right at the level where banks are already buying, rather than waiting for a reversal or a lagging indicator, because waiting only "increases risk and decreases reward." Rihari and the co-host connect this directly to their own approach of trading discount and premium inside a range, using the analogy of buying discounted shoes: they say they would buy several pairs at a steep discount but would not pay full retail price for the same shoes, just as an institution buys at the best available price rather than chasing price higher.

On fair value gaps specifically, Rihari says he does not personally rely on them, but tells students they can be treated as a magnet or point of interest if the student collects their own data on how price reacts to them. He also references his own data collection showing that on lower time frames, a fair value gap often acted as inducement for a bigger move rather than the target itself, which is why he says he would rather take a trade offering a larger multiple than force an entry off the gap itself.

The podcast also reacts to a clip of trader Craig Pakoko taking a trade from the middle of a range rather than an extreme, a setup Rihari calls "the old mid-range trade" as the position turns against the trader on screen. Rihari says his own process now looks only for a buy from the bottom of a range or a sell from the top, not anything in between, and credits that single change with removing a layer of second-guessing from his entries. He adds that the same discipline has to hold across roughly eight pairs rather than one, since he says traders who watch only a single symbol, such as gold, rarely see enough extreme setups to stay consistent.

What do the numbers say about retail trading outcomes and market size?

Two independent data points frame why discipline matters. ASIC Report 828 found 68% of Australian retail CFD investors lost money in the 2024 financial year. The BIS 2025 Triennial Survey recorded average daily OTC foreign-exchange turnover of US$9.6 trillion in April 2025 — a reminder that most retail participants lose money in a market of enormous scale.

These two facts sit outside the video itself, and neither one measures Rihari, his mentorship, or any specific trading system. What they do establish is the scale of the environment the video is discussing. A market turning over US$9.6 trillion a day is overwhelmingly moved by large institutional flow, which is consistent with the video's repeated argument that a retail trader benefits from thinking about what a large participant is likely to do at a given price level, rather than trading a chart pattern in isolation. Separately, ASIC's finding that a clear majority of Australian retail CFD investors lost money in FY2024 is consistent with the video's own warning, delivered in Rihari's reacted TikTok clip, that most new trading accounts lose their first deposit. Neither statistic proves that any particular mindset or method changes that outcome for an individual trader, and this article makes no claim that it does.

Why does a mentor matter more in later years of trading than in the first months?

Rihari says directly that finding a mentor was the point his results changed, after a period where he questioned whether trading was "actually real" and whether anyone makes money from it. He frames the mentor relationship as the difference between guessing at patterns alone and having someone correct a flawed process before losses compound.

The co-host's own account in the video supports the same point from the other side of the relationship. He says his own approach shifted once he was learning directly from Rihari, moving away from trend-line breakouts and wide stop losses placed at the extreme low of a move, toward tighter entries based on confirmed change of character. He also credits the mentorship specifically for the shift toward trading only the extremes of a range instead of the middle, describing it as a change he "can't go back" from once he saw the difference in results over a sustained period of live trading.

Everything above is Rihari and his co-host's own account of one trader's three years, told in their words on their podcast. It describes a personal mindset shift, not a business outcome, a licensing claim, a performance figure, or a typical result, and nothing here should be read as a promise about what any other trader will earn or how quickly their own mindset will change.