The chart above shows the BTC/ETH trading signals from the most recent 15-minute timeframe.
Let me share something: based on the chart above and the many charts in the channel, my signals will definitely appear near a certain extreme point (commonly known as bottom-picking or top-touching from the right side). So your stop-loss only needs to be placed at the nearest previous high/low relative to the signal candlestick—don’t fully follow the entry price recommendations from the group.
For example, suppose you want to open a long position on ETH, and the previous low is 2400. Then set your stop-loss at 2395–2398. If you want to open a short position on ETH, and the previous high is 2400, then set your stop-loss at 2402–2405.
That’s basically it. Don’t widen your stop-loss out of fear—use the position sizing algorithm based on risk and loss (risk-based position sizing).
Risk-based position sizing algorithm: suppose you want to open an ETH short position. 1. First, confirm your per-trade risk (R), meaning how much you plan to lose on this trade—using 100U as an example. 2. Then confirm the entry price and stop-loss price—for instance, entry price is 2390, stop-loss price is 2400. 3. Calculate the stop-loss distance = the absolute value of (entry price − stop-loss price). That is 2390 − 2400 = -10, and the absolute value is 10. 4. Calculate the position size: position size = per-trade risk / stop-loss distance. So this trade is 100/10 = 10 (ETH). 5. Set the order type to a limit order, place an order at entry price 2390, enter the position size of 10 ETH, set the stop-loss at 2400, and the interface will show the expected loss for this order as 100U—then submit the order.
After that, do expectation management: assume that if you can’t get filled for N candlesticks, you cancel the order. I usually cancel after 9 candlesticks without fill. Using the 15-minute signal as an example, that’s 135 minutes. For any timeframe, you can apply the same cancel-order management logic.
Next is position management: assume this trade successfully enters. Based on the risk-reward plan, when you reach a certain floating profit target, you should move the stop to breakeven and reduce the position. I typically move to breakeven at +0.7R (70U) and cut the position in half at +1.5R (150U).
Finally: nobody can predict whether the next candlestick will go up or down. Whether you can profit in the long run depends on whether you can consistently and stably execute a trading system with positive expected value over the long term.
A pure technical analysis trader & indicator developer. The screenshots are of my self-developed TradingView indicator: the MIX indicator
💡 Key features
Truly non-repainting: no future functions. As soon as a signal is confirmed at the close, it gets permanently locked onto the chart—never repainting. You can review and verify the win rate and profit/loss ratio yourself through backtesting.
Universal for the whole market: no special optimization for any single asset or timeframe. It can provide trading references for any asset and timeframe.
The chart includes the latest 4-hour signal screenshots for BTC, gold, crude oil, and QQQ. You can intuitively feel the signal quality. The MIX indicator’s signals come in three patterns:
1. Triangle = SWT trend signal, mainly for trend-following trades 2. Circle = VEX reversal signal, mainly for catching bottoms and topping off 3. Diamond = SWT+VEX convergence signal
In the pinned information of the public channel, there are many real-trade screenshot examples of different assets/timeframes. You can also verify validity by checking those pinned posts.
If you’d like to learn more, obtain authorization to use the indicator, or join my members-only group, please contact me via the following:
The most deadly thing in trading is never how the market moves—it’s you people always temporarily changing your explanation logic based on account profit and loss. In plain terms, it’s self-deception.
When you’re down a little, you say you need to “avoid risk,” and you stubbornly refuse to admit you’re wrong. But when the loss reaches a 50% cut, you start getting reckless and chase high leverage in the hope of turning it around. And you even mutter, “Since we’ve already lost so much, what’s there to be afraid of?” Does your fear have anything to do with the market? This kind of inverted risk awareness isn’t trading anymore at its core—it’s managing your ego. Closing positions and admitting you were wrong means admitting that the chain of decisions you made beforehand was all wrong. You can’t stand that. So to protect that pathetic little shred of self-respect, you’d rather gamble on a very low-probability surge than click the mouse to end the mistake.
There’s another, more covert one: packaging a speculation failure that left you deeply trapped as “long-termism.” When things go your way, you’re thinking about short-term high returns. When you’re against the tide and trapped, you immediately change your tune and call it “staying with it and growing together.” Real long-termism is different—it’s verifying the holding period, cash flow, and planning in advance under what conditions you add more and under what conditions you leave. It’s not buying and then getting stuck where you can’t sell, then finding a lofty excuse to cover it up. Is that long-termism? No, that’s helplessness.
To climb out of this vicious cycle, the only way is to throw away the part in your head that says, “I need to prove I’m right,” and replace it with probability thinking. Before placing an order, force yourself to write it out clearly: why you’re buying, the maximum how long you’ll hold, what conditions would prove that you’re wrong, and what you’ll do after you’re wrong. If you can’t write it, don’t open a trade. Once the direction is wrong, there are only two options: reduce size or exit. Absolutely no adding risk exposure in the wrong direction. That’s what gamblers do—not what traders do.
Time won’t automatically make faulty logic correct. Holding through it and getting back only earns you luck, not skill. Rip off that psychological “massage” routine, build your trading on entry rules and unconditional stop-losses, and then—only then—can you barely say you’ve pulled yourself out of that gambling pit.
As shown in the figure are the recent 1-hour trading signals for U.S. stock individual contracts. These include signals for SanDisk/Micron/Dell and Tesla.
Whether you are a trader who uses price action analysis or you prefer a multi-indicator convergence strategy, the MIX indicator can be seamlessly integrated into your trading system.
If you are interested in U.S. stocks, you can manually review these signals shown in the screenshot and independently calculate the win rate and risk-reward ratio.