Interview noteThis page restates a public interview in new words. Dollar results, win rates, and payouts are claims made by the speaker or the host. They are not this desk's record, and they are not a result to expect.
Robert Rother is introduced as an ex-hedge-fund manager who ran about $150 million, with almost seven figures in prop payouts over the life of that trading. The host ties the $150 million to one scalping strategy. What Rother describes is the fund he managed, and then the day-trading niche he uses now, which is built on how a fund of that size has to get in and out. The niche, in his sentence, is detecting when algorithms are going to buy and sell. The anchor is VWAP. Each time the market comes to it, those algorithms start working, and the work creates the pullback he scalps. Holds are mostly under a minute, sometimes a couple of seconds. He does not describe it as trading against anyone. He wants to know when they get in, because that is an impact, and the impact is the trade.
A price is three facts, and then the book
Most traders, he says, look at a chart and think they know the market. Asked what a market is, or what a price is, they do not have the definition. A price, everywhere, is a price, a volume, and a timestamp. Those are history. The fourth thing, which he says people are not aware of, is liquidity: buy limits, sell limits, iceberg orders, and the other types. The market goes where the liquidity is. That is the future location of price. At the fund he could not click once and expect a fair fill. If a stock trades 10,000 shares a day and he has to buy 100,000, the order has to be divided over a longer period, and he has to know what price is fair. How a large player thinks is a different job from what retail does, and he thinks retail often does not know what it is doing. Knowing when those orders are placed is the advantage he still uses.
The fair-price benchmark is the volume-weighted average price. Traders at a fund get paid on the entry and the exit relative to that benchmark. When he has to work orders over hours, days, or weeks, VWAP is the reference. The pullback at the average is the algorithm starting to buy or sell. He uses more than one. One starts with official trading hours. One starts with the extended session. Openings that matter, London among them, get their own. Liquidity is the second look, and he has the tools. Icebergs are the part the book will not show in full. The large player does not want the size visible. You know something is there. You see the top. You do not know what is underneath or how big it is. Those anchors are how he reads how the large players are positioned today.
He is not trading with them in the sense of joining a campaign, and he is not trading against them. He uses the path they are forced to take. A large player entering in small pieces moves the market. He calls those moves pullbacks, and that is the scalp. Price around the VWAP is not enough by itself if he can also see liquidity there. Liquidity at the level is further confirmation. The direction is specific. If the market comes up to VWAP from below, he is short exactly at VWAP. If that fails, he is stopped, and he accepts it. If the market has gone above VWAP and is coming back down to it, he is long.
What the $150 million taught him that a retail account would not is to think about tomorrow. Do not die today. If the account is gone, there is no next trade. Survival is how much you can lose, not how much you can make. The philosophy of risk is the same at small size and at large size. The exits are not. A large position cannot be sold in one click. A small trader presses the button and is out, which he calls a real advantage. The quantity changes. The idea does not.
The book, the magnet, and an eleven-tick target
The chart is Bookmap. Green lines are buy limits. Red lines are sell limits. He knows where people want to buy and where they want to sell. He does not know whether a red line is a new short or a cover. Compared with the other side of the market, a stack is liquidity, and price tends to travel to it. On the screen the market is sideways, approaches the liquidity, and keeps going until the liquidity is gone. When the interest is gone, the market normally turns. He expects, sooner or later, a return to the liquidity still sitting there, because that is where the large business gets done. He does not know when. Deeper in the book, today, there is nothing important. The main area is around 467. For day trading he is mostly in the E-mini S&P. The same liquidity picture exists in Bitcoin and in Nasdaq futures. Bitcoin means either stitching exchanges together or watching one. As he talks, price is rising and the liquidity is disappearing. No large interest left, and no clear direction, means no trade for him. The lines on the chart are the VWAPs. A return to those levels is where he assumes the algorithms will work and a pullback will print. That would be a short.
The position he is actually running, on the 50K prop accounts, is a fixed 11-tick take-gain and a 10-tick stop in the ES. He uses 50K accounts because he thinks they have the best reward against the risk in this case. One or two contracts, not more. One or two trades, and the day is finished. A scalper does not owe the market a hundred trades. After thirty years, more time in the chair and more trades do not mean more money. Less time and fewer trades do. If the first trade is profitable, he turns the computer off. The win rate he states is about 75 to 80 percent. At 11 ticks against a 10-tick stop, that rate is how he says he survives. A lower win rate, at that payoff, would not make money.
Price goes to liquidity because a large buy or a large sell in an empty book moves the price to a level that is unfair to the person who has to fill it. A buy needs a seller. Without one, price runs. He can see where people are willing to sell, and he can see how many contracts are there. Three or four hundred contracts into a stack at 85, in his example, execute around 85. The same size with no stack might finish at 90 or 95, and that slippage is expensive. The question is who is willing to be the other side. A retail trader in one or two lots does not move the book and is, in his wording, the exception. Everyone else has to think this way. If the liquidity is visible and then disappears, and new liquidity appears higher, the market has to travel to the new level. If nothing of interest is showing, the tape is not predictable, and he is not interested.
TradingView is the longer picture and the other markets. The volatility index is the indication of how much he can trade, and he thinks most traders never look at it. Around 18 it is fair. Around 16 it is easy, and size can go up. Above 20, and further above that, the same strategy starts losing money and the trader blames the strategy. The book has changed. Moves are larger. Liquidity is thinner. Sweeps are stronger. A 10-point drop that comes back 10, and then another 10, is the example. A 10-tick stop might become 15 or 20, and the target widens with it. The strategy does not change. Above that, at a VIX around 30, the trades can be larger still, and so can the stop. The line he wants written down before anything else, every day, is where volatility is. If the strategy starts losing, look at the index. At 25 or 27 the losses are expected. They do not mean the method died. Switching strategies at that point is the circle he says 99 percent of traders enter. Adjust the money and the risk. Do not replace the idea.
The black hole, and which average
On TradingView he adds the VWAPs. Today is Wednesday. The day VWAP starts at midnight, and he is adjusting it because the chart is not on Central European time. London is 9:00 a.m. Central European time. He was asleep for the overnight drop. Price went down and came back around the average. It is not a perfect setup, and the shape is visible. He calls it a black hole. The market leaves the day VWAP and leaves an emptiness, then returns, finds the retracement, and continues the downtrend. Price leaves, stops at the VWAP, and continues lower. The next places he would trade are around 7,500 or 503, two levels sitting together. He is on a laptop in New York, not in the office, with data latency, and he says the internet is no better than in Germany. A valid short is the level he would right-click and send. A trade copier puts that order on his personal accounts and on about twenty prop accounts.
On the simpler chart, the London VWAP and the day VWAP are the two candidates, near 500 and near 499 to 504 depending on the moment he is pointing. He assumes algorithms will sell there, or at least bring selling pressure, and liquidity appearing in the last minute is another confirmation. Far from the level, he does not trade. He waits all day for the market to come to the VWAP. The day VWAP is the favorite. It starts after the one-hour break, 11:00 p.m. to midnight in Europe, 5:00 p.m. to 6:00 p.m. in New York, and then the electronic session opens. That is where his day starts. A return to that level is the short he wants.
On the examples he scrolls, price touches VWAP, selling orders arrive, and he is already out. A second touch is another scalp. A large retracement off the day VWAP, a return, and a reaction are the algorithms selling. He is explicit that they are not short because they have a view that the market is going down. They have a benchmark. If they execute there, counterparties exist, and the trade can be filled. Price then rotating around the VWAP is confirmation that the level is fair and that size is changing hands, until the market leaves. It will come back. Asked which VWAP, he prefers the day VWAP. Volume and price are the calculation. Time is not in it. Sooner or later, if you follow the math, the VWAPs meet.
The bands are secondary. They can be traded, and he does not need them as entries. If they spread, one up and one down, volume is coming in and there is movement. That is a trend confirmation. If they drift sideways, there is no intention. When the market is chopping around VWAP and the pullback turns into noise, the standard deviations can be used to trade the range. It depends. Normally he does not. They tell him whether momentum is actually arriving, and they hint at where price can go. They are not the entry.
Ten ticks and eleven ticks are not a formula. He has traded the S&P for what he calls ten years inside the thirty. He started on the full S&P 500 index at the Chicago Mercantile Exchange, by phone, at a contract he prices at $1.250. The E-mini arrived at the end of the 1990s and the beginning of 2000, and the pit gave way to the screen. That is when he started, and the distances are a feeling. Ten ticks is what he can mostly expect in the short-term trade. Higher volatility, back to the index, and it can be 20 or 25. He will not take the second touch immediately after a loser. He takes a break. He might take one more. If that one wins, he is even, and he might consider a third. Two losers in a row and the day is over. A loss because price went straight through the VWAP is not, by itself, a reason he states for a second try. The host suggests Trump as the thing that can invalidate the picture. Rother's answer is that he cannot compete with that, and that when Trump is talking, everything else is useless.
Bookmap is confirmation and execution, not a requirement for the idea. The same approach can be watched on TradingView as price approaches the average. He would not recommend it for his timeframe. Bookmap has tick data. TradingView, for him, has aggregated data. Execution on Bookmap is more stable, on the order of ten times, and a scalp this short needs that stability and the best data he can get for a fair price. TradingView has other uses. On a longer timeframe it does not matter.
Boring, hidden size, and a translator who followed the rule
There is no missing secret. Thirty years at the institutional level, reduced to the minimum. A hundred indicators create confusion and, worse, an excuse. One of them will always say a trade is allowed. If the work becomes boring, that is when it is working. If it feels like an adventure, the casino pays off faster and bleeds off the gambling. Excitement means the size is too big, and it means the account loses. The life, as he describes it, is sitting in front of the computer and doing the same stupid thing every day for the money. Once it feels exciting, something is wrong.
The difference between a good retail trader and an institutional trader is the volume, and the thinking that volume forces. Retail clicks and is in and out, a couple of ticks better or worse. An institution has to ask how a huge quantity gets into the market. A hedge fund manager is not alone in a room clicking. Rother had thirty traders and analysts. The order was to buy 100,000 shares of a stock whose daily volume was 10,000, without the competitors knowing. Not from one account. From something like a hundred accounts, step by step, so the other side cannot see who is there. If someone knows the position, they can lean against it until a margin call or until the loss limit forces a liquidation. He compares it to poker. The cards stay down. Two or three retail lots are nothing. A visible large order gets front-run, higher or lower, because the market knows the size still has to be done. The trades have to be hidden to get a fair entry. Retail and institutional trading, in his comparison, have nothing in common.
The knowledge he brought back, and the knowledge he says he teaches on the live streams, is when the funds are going in. Retail looks at candles and formations. He does not know all the names. They laughed at them. A book of patterns is not, for him, knowledge of the market. Retail also does not look at liquidity, at where the buy orders and the sell orders are, or at icebergs. None of that is secret, and it is not expensive. He likes CME futures because they are transparent relative to other markets. People do not look at the volatility index. They do not know what a thin book does to a price compared with a thick one. The facts are free. A lot of people, he says, would rather you did not know them, because following them would probably make you profitable or at least cut the losses.
RSI, MACD, and Fibonacci were not taken seriously at the institutional level, at least not that he knows. They never used them. Market structure, if it means a sideways zone or a trend, is obvious. Support and resistance are the places where the liquidity actually is. Price comes back into a rotation and normally stops, because that is where other players exist to trade the large size against. That is the whole of it.
Retail, in his experience, mixes the job with entertainment. They need the excitement. They are gambling, and the hobby is expensive. Fishing, or an actual casino, can be cheaper. They do not take it seriously. When he ran the fund in China, every month or every two months he took the traders to Macau. He gave each of them two or three thousand and told them to lose all of it. They came back with more. That was not the point. The point was to get the addiction out somewhere other than the book. He includes himself. A day on the stock or futures market where he is trying to play is a day a lot of people, not only him, end up broke. The live streams and the communities exist so that waiting for one click is not an empty room.
The path he would hand someone who wants the job is books, because they are cheap. Jesse Livermore, and the story around 1929. Market Wizards, for how the best traders think. Mind Over Markets, for the volume profile and for reading an ordinary chart. Then stop, and figure out who you are. He cannot hold a position for hours. An hour or two costs him too much energy. He wants in and out. Someone else is mathematical and needs statistics. Someone else is discretionary and decides by intuition. The students who became successful took a core of his understanding and then changed it until it was theirs. Copying him does not work.
A pure risk-taker, he says, will have their day. The best results he had were with women. The best trader in the fund was a young Chinese woman who had been translating for him. She knew nothing. He called that better, a blank page, and he told her what he knew. She followed it without questioning, became one of the larger Hang Seng traders in Hong Kong, and at the open the company's orders moved the market. She made a lot of money. The problem with the men, in his telling, is that they think they are smart. They arrive and try to teach him how markets work. He has the money and the business. They can start their own fund. Very few make it. The ones who do are humble, they listen, they are patient, and they treat the market as the thing that is right.
Psychology, in a daily session, is 99 percent of what keeps him going. Traders spend 99 percent of the time on entries and the rest on themselves, which is the proportion reversed. He does not support demo accounts as a way to learn trading. A demo is for clicking around a new piece of software so the first live click is not a mistake. The emotions are different, and the execution is fake. Success on a demo is a dangerous belief to carry onto real capital. A cheap prop challenge at least contains emotion. His own use of a challenge is not a school. Time is money and it is also the quality of a life, and a week on an evaluation is a week he does not get back. He goes all in. One or two good entries, and he lets it run until the gain goal or until the account is blown. That is a professional trying not to waste time. Someone who is learning is a different case. Once he is funded, the trading is completely different. The question is what the firm wants, and then the rules are followed. No surprises. At the hedge fund he did not want a trader who made a lot of money every day, because that trader could lose a lot the next day and had no plan. He wanted the same gain and the same loss, so he knew how much capital he could give them. Fifty percent one day, minus twenty the next, then a hundred, then minus fifty, and there is no reliability. The person never gets big. One percent a day, and sometimes a loss of half a percent, over a long period, is how the size goes from one contract to a thousand. Consistency is the part he thinks retail does not understand.
He opened his first brokerage account in Germany in 1995, at 13. At 17 he set up his first investment firm in Frankfurt with two partners, and they taught him the institutional business. It had been the dream. He did not expect how far it went. His twenties, with too much money too young, included a car racing team at the 24 hours of Le Mans and the Ferraris. He says the videos people post now cannot compete with what he had. A country like China putting him in detention, because he was a risk to the financial system, is how he knew the scale of what he had done. He was young and naive, and he paid for it. Asked what he would tell that younger man, he says to do it again. It was a great time. The ending included prison. It was tough, and he learned about himself, about people, and about culture. He read more than four hundred books, which he had never had time to do, and he met people from all over the world. The line he offers the host is that he could be dropped almost anywhere and know who to call. The system on the chart, next to that life, is the small one. Ten ticks, eleven ticks, the average, the book, and the computer turned off after the first winner.