Boarding a plane takes five minutes and one document. Nobody studies the gate. Everybody studies the destination, the seat, the time it lands. The door you walk through is the smallest decision in the entire trip, and no airline has ever built its safety record around how passengers board.
Buying is the gate. Samuel Rondot spent years watching traders treat it like the flight.
The price you pay is the smallest part of the trade
In 2014, Samuel made a confession that should unsettle anyone who has spent an evening agonising over a buy price: a good number of his own strategies used near-random entries. He could almost flip a coin to decide whether to open a position. If a win paid 2 and a loss cost 1, capped, then at a 50% win rate the method made money regardless of which side of the coin it landed on. What mattered was not the price. It was the moment: a condition that handed the trade a real edge, found and tested, independent of where the asset happened to be trading when he clicked.
That is not an argument against thinking before you buy. It is an argument against thinking the buy is where the trade is decided. A traveller who studies the departure gate and ignores the weather at the destination has prepared for the one hour of the trip that was never going to hurt him.
The case for a careful entry
The strongest objection writes itself: a cheaper entry needs a smaller move to turn a profit, professional desks build entire systems around precise timing, and nobody pays full price for an asset on purpose. All of that is true, and none of it is the point. Samuel's coin-flip strategies were not undisciplined. They were disciplined about the wrong variable's opposite: instead of hunting for the perfect price, they hunted for the condition, then let an asymmetric payoff do the work a precise entry was never going to do. A trade with a 2-to-1 payoff survives a mediocre entry. No entry survives a payoff that loses more than it wins.
Cutting the loss is the hardest door on the plane
In 1995, before the internet put a trading desk in every home, Samuel ran a trading room where private individuals came to trade live. What struck him was not the losses. It was what losses did to people. He watched traders so frozen they could not dial a phone to place an exit order. Their hands shook too badly. Some could not get the words out and asked him to place the order for them.
He gives two pieces of advice from that memory, and he calls them non-negotiable. First: set a maximum loss threshold and hold it, always, because the account is the raw material and once it is gone the trade is over for good. Second, for the day the market catches you anyway: step away long enough to rebuild, the way an injured athlete returns to training gradually rather than crossing swords again the same afternoon. The market will still be there. The opportunities will still be there. What will not still be there, if you stay in past the threshold, is the account.
This is the emergency exit row of the metaphor, and it earns the comparison. An emergency exit is the one door on the plane nobody wants to think about before they need it, and the one door where hesitation has a cost measured in more than money.
Holding the winner is a discipline, not a feeling
The wringer runs both ways. A new position starts with small losses, almost by definition, because you cannot buy at the exact low, and doubt arrives on schedule: was the entry right, is the strategy right, how long do you give it. Then, if the trade moves the way you hoped, a second and more dangerous round of questions begins. How long do you hold. Do you sleep on it. Are you willing to watch gains you have already banked shrink back down, waiting for more.
Samuel's answer is a trading robot, and the comparison is not flattering to traders. A robot runs two instructions, one to enter and one to exit, and it has been validated because, tested over time, those two rules together make money. The robot has no qualms about either one. It is not braver than you. It simply never has the argument with itself that you are having right now, and time plus systematic application is what lets it win, not any capacity to feel its way through the position.
You are capable of the same discipline. It is never too late to adopt it, and the math is specific about why it matters: the big gains, the ones a frightened exit cuts short, are precisely what gives an account a real chance of surviving the losses that any method takes along the way.
The rare big winner pays for the whole flight
Here is the number that ties the first three sections together. Across the accounts Samuel watched, a genuinely large gain, above one or two percent of the account in a single trade, was rare. Part of that is a style bias: most traders work counter-trend, and counter-trend trading is not built to produce big winners. But the market also carries accidents that no technique prevents: events that were never supposed to happen and happen anyway. An account only survives those if it also, over the long run, produces the mirror image: positive accidents, the significant gains that hand the account a genuine mathematical expectation of coming out ahead.
Without them, Samuel's conclusion is blunt: you are not trying to succeed at trading, you are postponing the moment you fail at it. The gate got you on board. The rare long flight that actually goes somewhere is what you paid for.
The exit logic does not change when the market never closes
Samuel wrote about markets that shut for the night and the weekend, which gave every one of his traders a built-in pause: a door that closed on its own, whether they were ready or not. A perpetual futures market has no such door. It is always boarding.
The maximum-loss threshold matters more here, not less, because there is no overnight close to enforce a break you did not choose yourself. The robot's unemotional exit logic matters more here too, since nothing about a 24/7 market makes human hesitation less costly; it only removes the hours when hesitation was free. And the one new mechanic Samuel never had to write about is the one that punishes hesitation hardest: if a leveraged position moves against you far enough, it is closed for you. Estimated liquidation price shows where that point sits before you ever place the trade, which is the only time it is useful to know.
Entries and exits: questions answered
Does the entry price matter at all?
It is rarely the deciding factor. What decides a trade is the condition you entered on and the discipline you apply afterwards: cutting losses at a pre-set threshold and holding winners long enough for the rare large one to arrive. A precise entry cannot rescue a method that loses more than it wins; an imprecise entry cannot sink one that doesn't.
How do I know when to exit a losing trade?
Set the threshold before you open the position, not while you are in it. Samuel's own rule was a maximum loss, decided in advance and held without negotiation, because a trader who waits to decide in the moment is the trader who talks themselves past the line they meant to hold.
Why is it so hard to hold a winning trade?
Because doubt does not stop once a trade turns profitable; it changes shape. The fear of losing becomes the fear of giving back what you have already made, and that fear closes winners early far more often than it should. A take-profit order set in advance removes the decision from the moment you are least equipped to make it well.
What is a "positive accident" in trading?
A gain large enough to offset the losing accidents every method eventually takes: the move nobody predicted, scaled by the discipline to still be holding when it arrives. Samuel's accounts suggest a trading plan survives on the presence of these, not on avoiding losses altogether.
Read the series
Each article below was published by Samuel Rondot between 2010 and 2014. The originals are linked at the top of each page.
- Winning Trades Make All the Difference (25 September 2010)
- Knowing How to Get Out of the Market (24 May 2012)
- Who's Capable of Holding a Position Like That? (26 April 2013)
- Trading's Biggest Secret: How to Win! (11 February 2014)
- What Price to Buy At: The Question You Shouldn't Be Asking (13 June 2014)
- Only the Exit Counts: The Part of a Trade Nobody Works On (25 June 2014)
Trading leveraged products carries a high risk of loss. The accounts above are one trader's observations between 2010 and 2014, not studies and not forecasts.
