How do you turn a losing trading day into a profitable one?
In the video, Rihari's training partner takes two losses on GBP/USD during the London session, stops trading, reviews exactly why each trade failed, waits for a confirmed setup, then lets one strong trade close the account up 4% for the day.
That is the sequence the video walks through, not a formula presented as guaranteed to repeat. Rihari and his training partner talk through it on camera as roughly five identifiable steps.
- Stop trading once losses hit your own personal limit for that session, before the losing streak grows. The training partner tells Rihari he stopped himself after the second GU loss during London, saying "that's it, no more."
- Go back over each losing trade separately and name the actual mistake, rather than putting it down to the market moving against you. He tells Rihari one entry was "POI too early" and the other reacted off a fair value gap, "which I would never take an entry off."
- Re-check which part of the range price is sitting in, discount or premium, before placing another trade. Rihari tells him that near the top of a range you should be looking at sells, and near the bottom, buys, because "the very small detail of understanding where you are changes up what you should be looking at."
- Wait for price to confirm the level instead of entering early. Rihari says price usually pushes further into a point of interest before reacting, "nine times out of 10," so entering closer to the stop-loss level, rather than the top of the zone, changes the reward on the trade.
- Keep the recovery trade the same size as every other trade that day. Both men describe risking around 2% of the account, roughly $10 on an account near $500, on each trade, win or lose.
Applied that day, according to the video, the account ended the session up 4%, despite the two earlier losses during London.
Why did stopping after two losses matter more than the losses themselves?
Rihari calls the decision to stop trading discipline, telling his training partner "that's a win in itself, even though it's not a win on the screen." The video treats the stop itself, not the trades that followed it, as the meaningful outcome of that stretch of the day.
The training partner explains he had already set his own limit going into the session: two losses during London and he is done trading for that window. He adds that he "only really do[es] London and Asia New York," which means the stopping point applies within a defined trading window rather than as an open-ended rule for every hour of the day. Rihari pushes on this later, asking how many losses in general should trigger a stop, and answers his own question with "it depends," pointing his training partner back toward analysing why each individual trade lost rather than toward counting to a fixed number.
How do you fix an entry that is too early in a point of interest?
Rihari's read on the first GU loss is that his training partner entered "at the top" of the point of interest instead of waiting for price to push deeper into the zone first. The video calls that entry "unprofitable," and says a point of interest usually gets tested more than once before it actually reacts.
His explanation on camera: "if you just mark up all the POIs, you're going to find nine times out of 10 it goes deeper into the POI." The guidance he gives is to keep the same stop-loss level, wait for price to approach that level before entering, then take the trade closer to the point of invalidation rather than at the first touch of the zone. He estimates that, in this specific example, waiting could have turned the setup into "nearly a 1:4" reward-to-risk trade instead of an early entry with a smaller payoff for the same stop. He is careful to frame this as an example rather than a promise: "not that I'm saying that's what you're going to do... however, that's what you should try and try and do."
Why does knowing your position in the range change what you should be trading?
Rihari tells his training partner that the second GU loss came from being "in buys right at the top" of the range, in what he calls the premium, when the setup called for sells instead. He treats this as the core lesson of the session: know whether price sits in discount or premium before choosing a direction.
His explanation on camera is direct: "if you're at the high, you should be looking at sells... if you're at the low," the opposite applies. He points to the 15-minute chart and "the big imbalance straight into the POI" as the detail his training partner missed on that trade, and closes the point by summing up the day's lesson as "understand where you are in the market."
How much should you risk on each trade so two losses do not end your day?
In the video, both men describe risking around 2% of the account per trade, put at roughly $10 on an account of around $500. Rihari frames that sizing as what let his training partner absorb two losses in a row and still have enough of the account left to recover within the same session.
He says directly, "you don't want to lose the account," and ties that statement back to the fixed 2% figure they use. Later in the conversation he contrasts this against traders who start with $100 or $500 and then feel that the dollar value of a winning trade is not worth the wait, which he says feeds impatience rather than sticking to fixed, repeatable position sizing.
What does over-trading actually look like, according to the video?
The training partner raises the question himself, telling Rihari he feels like he might be over-trading. Rihari's answer is not a number of trades, it is a condition: "you're over-trading when you're losing." Continuing to trade through a losing stretch is what the video calls over-trading, not the raw count of trades taken in a session.
He connects this to patience more broadly, saying "patience is key in this game" and that impatience, not a lack of skill, is "why people are unprofitable." His training partner stopping after two losses is presented in the video as the opposite of over-trading, even though the decision itself did not produce a win in that moment.
What separated the winning trades from the two losing trades?
Across the four trades discussed in the video, the losses shared one pattern and the wins shared another: the losses came from entering before price confirmed the level, while both winning trades waited for that confirmation first, whether a closed candle above resistance or a clear change of character.
| Trade | Entry timing | What the video says went wrong or right | Outcome | |---|---|---|---| | GU loss 1 (London session) | Entered "at the top" of the point of interest | Rihari says price still had room to push deeper into the POI first | Loss | | GU loss 2 (London session) | Entered on a reaction to a fair value gap | Rihari says he "would never take an entry off" a fair value gap alone | Loss | | Gold buy (overnight) | Entered on a "change of character" at the bottom of a push | Training partner calls it a clean setup with a clear point of interest for the take-profit | Win | | The earlier clutch trade referenced at the start of the video | Re-entered only after price closed above a key level | The first attempt without that closure failed; the same setup roughly an hour later, with the closed candle, worked | Win |
What do the wider numbers say about the odds of a profitable trading day?
Nothing in the video claims that this outcome is typical or repeatable, and independent data on retail trading backs that caution. ASIC Report 828: Risky business records that 68% of Australian retail CFD investors lost money in the 2024 financial year.
That figure is a reminder that a single profitable day, even one built on the discipline shown in this video, sits against a market where most retail participants finish behind over a full year.
The market itself is large regardless of any one account's result on any one day. The BIS 2025 Triennial Survey reported average daily OTC foreign-exchange turnover of US$9.6 trillion in April 2025. The size of the market has no bearing on whether an individual trade or trader is profitable; it only describes how much currency changes hands globally each day, and it is not evidence that any particular method or account works.
Read together, the two figures set the boundary this article works inside: the video shows one account, on one day, recovering from two losses through a specific set of decisions that Rihari and his training partner describe on camera. It is not a business claim, a licensing claim, a price claim, or a promise of income, safety, or typical results for anyone watching or reading.
Which sources support these statistics?
ASIC Report 828 and the Bank for International Settlements 2025 Triennial Survey support the cited statistics. They report market-wide CFD-loss and foreign-exchange-turnover data, not evidence that a trading method, educator or reader will obtain any particular result.
- ASIC Report 828: Risky business — 68% of retail CFD investors lost money in FY24.
- Bank for International Settlements 2025 Triennial Survey — OTC FX turnover reached US$9.6 trillion per day in April 2025.
What questions do readers ask about this topic?
The answers below address the adjacent practical questions readers ask after reviewing the article and its source material. Each answer describes the available evidence and does not replace an independent review of current terms, risks or personal circumstances.
Did the losses in the video actually happen, or is "losing day" just a figure of speech?
They happened. Rihari's training partner tells him he took two losses on GBP/USD during the London session that day, then still closed the account up 4% by the end of trading.
What exactly caused the two losing trades?
The video says the first loss came from entering the point of interest too early, before price had pushed deeper into the zone, and the second came from reacting to a fair value gap, which Rihari says he "would never take an entry off."
What does the 1:4 reward-to-risk example in the video actually mean?
Rihari explains that if a trader keeps the same stop-loss level but waits for price to approach it before entering, rather than entering at the top of the zone, the potential reward on the same stop can grow toward roughly four times the risk, in his estimate for that specific setup.
Is the 2% risk per trade shown in the video a rule for every account?
The video only describes it as what the training partner used that day, around $10 on an account near $500, and Rihari ties it to not wanting to lose the account, not as a formula presented for every account size.
What long-term account goal is mentioned in the video?
Rihari talks about aiming to grow his training partner's account toward a $20,000 milestone over time, discussed on camera as a personal goal between the two of them, not as a business claim, a licensing offer, or a projected return for viewers.
Should viewers expect the same 4% recovery by copying these steps?
No. Nothing in the video or this article promises that outcome will repeat, and ASIC Report 828 records that 68% of Australian retail CFD investors lost money in the 2024 financial year, which is the wider backdrop against which one profitable day should be read.
Which RihariFX videos support this article?
The embedded RihariFX videos and their original English transcripts are the primary sources for the source-video claims in this article. They record what was said in each video and do not independently verify performance, price, licensing or typical results.