Why do some traders fail to make money in the end, even when they correctly predict the market?
Have you ever experienced this?
You correctly predict that Bitcoin will rise, but because you enter too late, you only make a small profit; you correctly identify a downtrend, but because you close your position too early, you miss the main move; you even accurately predict the market’s direction, yet your account still doesn’t achieve the returns you hoped for.
This points to an important issue:
Predicting the market correctly is only part of trading success. Getting the direction right does not me

$IRYS 🗡Trading volume body... is O zero! Spent.

$BTC wicked under 80k, grabbed the longs, straight back above.
Weekly close tonight is the only thing that matters 👀

Good evening, old and new friends! The livestream starts promptly at 8 tonight. We welcome you to join us when you have time, and those who haven’t joined the group yet are welcome to join our discussion group. We’re gathered here not for flashy gimmicks, but mainly to discuss market views, learn trading logic, share insights, and learn from one another. Market conditions can change in an instant, and macro news and geopolitical developments can all affect price movements. It’s easy to overlook things when analyzing the market alone, so communicating and discussing things together can broaden

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Guys, Q4 has been underway for nearly a month, but this year’s “September and October rally” has played out in a far more convoluted way than anyone imagined.
Looking back at August, the market was still cheering a vigorous short squeeze, with short sellers liquidated, altcoins broadly rising, and Bitcoin up more than 20% for the month. Everyone thought the bull market was back. But once October arrived, the bulls were taken straight to the cleaners. This weekend’s breakdown saw Ethereum fall below 2,300 and Bitcoin below 80k, as leveraged longs above those levels were liquidated en masse.
Is

first buyback: 1.1M ethereum:0xad29f2723fcdbcf665f210f25e06f97477e417cf bought on the open market and burned 🤯🤯
nearly 1% of circulating supply at purchase. treasury tokens can be spent again.. these were permanently removed
the bit i care about is verification: public dashboard + tx hashes, with independent execution, future rounds are intended monthly and discretionary
next i'm watching Stable Funding Perps in Grvt 2.0, planned for November.. once-daily funding is easier to plan around.

#SpotGoldFallsBelow$4000
A Coiled Spring at the 4K Battle Line
The market is holding its breath. XAUT is currently compressing into a razor-thin tightrope walk just beneath the psychological 4,000 barrier. With the 5, 10, and 30 moving averages fused together like a knot and volatility flatlining, the chart is practically screaming for an explosive breakout. But which way will it snap? Let’s break down the technicals and map out the trade.
📊 Chart Analysis (1H Timeframe)
1. Price Action & Structure:
· Current Price: 3,991.9
· The Setup: The price recently probed upward to 3,998.6 but faced i

Opened a position in $TREE
. Entry price: 0.03650 - 0.03732Take profit 1: 0.04100Take profit 2: 0.04427Stop loss: 0.03467Funding rates are deeply negative, and an oversold bounce is underway—it’s time to squeeze the late shorts! Support me by trading here. The assets I’m watching today include $ETH and $APR .

$TRIA The coin is going down
Sell 0.002565 0.002580; targets 0.002535 0.002510 0.002485; stop loss 0.002610

Damn, what the hell happened...
Did it crash?

$ENA Hayes sold ENA. The floor is the problem. I sell under 0.1750
Arthur Hayes sent tokens to exchanges this weekend, 14M ENA of it (about $2.7M). That is under 3% of one day of ENA volume, so I do not think he is the problem. X is split between 'he is dumping' and 'second chance to buy'.
The chart is. Highs go 0.247 (12 Oct), 0.226, 0.214, 0.201, each one lower, and ENA sits under its 4H 200 average (0.204) and the daily 50 (0.196). The floor at 0.175 to 0.184 has been bought on five days since 15 Oct. Only about 4% of the volume since 18 Sep traded under 0.18, so there is not much to catch

$BNB is currently trading at 738.49, up 0.77% over 24H (range: 718.0–748.65). The 1H is weak, with an RSI of 58.73; the 4H is strong, with an RSI of 48.94. Watch whether it can hold above 748.65 and whether it can reclaim 718 if lost. The two timeframes remain divergent, and short-term moves should not be taken as a trend reversal. Market volatility is high; for observation only.

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Why can trading strategies that perform well in backtests fail in real markets?
If a trading strategy has high historical backtest returns and a good win rate, does that mean it is worth deploying real capital?
Not necessarily.
Some strategies perform exceptionally well on historical data, but their returns drop significantly in real markets, or they even suffer persistent losses.
The problem may not lie in the trading logic itself, but in the testing methodology, cost assumptions, or changes in market conditions.
I. Why can backtesting inspire confidence so easily?
Backtesting involves applyi