QI has paid out.
Once a month, more punctual than the boss's paycheck.
This month, 0.6343 per share. At this pace, over a year:
100 → 14
1,000 → 143
10,000 → 1,430
100,000 → 14,300
Have you already started figuring out when to quit?
Take it easy. Most of this money is your own principal being split up and returned to you, not money falling from the sky.
You can take it easy, but don't let your principal run out first.
#QI #美股 #PassiveIncome

"Having a caring person as a life partner—regardless of what they look like—makes every single moment of life beautiful." 🤍 🌷

Bonk will go to Mars,
Are you ready?

I love bonk!!!

Kaspa has issued 27,774,777,235 KAS, 96.76% of its 28,704,035,605 max supply, less than five years after its fair launch in November 2021.
Bitcoin, live since 2009, has issued 95.73% of its 21 million.
@kaspaunchained

Why is it that even when a trading plan is very well written, it is still easy to deviate from it in live trading?
Many traders do have a plan.
Entry conditions, stop-loss levels, take-profit targets, and position sizes have all been set in advance.
But once they actually enter the market, things change: when prices rise, they worry about missing out; when prices fall, they are reluctant to stop out; after consecutive losses, they rush to make their money back; after consecutive wins, they become overconfident.
In the end, they are no longer following their original trading plan, but a differe

$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

Empty, empty, empty—living in a palace
Thanks, Sesame, for the gifts: a hat + hoodie

🇰🇷 SOUTH KOREA MAY DELAY 22% CRYPTO TAX UNTIL 2029!
» Proposed delay from 2027 to 2029
» CARF data-sharing gaps complicate overseas trade tracking
» Another delay could be on the table
Crypto tax relief may be coming!

Take from Admin 2: $AVGO bulls, don't rush it
$280–300 looks like the zone to watch
solid reaction here could set up another run toward $450, but let price confirm first
No need to be in hurry

BNB CHAIN CAPTURES MORE THAN 50% OF TOKENIZED ASSET TRADING MARKET SHARE ON DEXS
BNB Chain’s share of total tokenized asset trading volume on DEXs rose from less than 1% to more than 50% in just one quarter, according to Q3 data.
BNB Chain posted notable figures for tokenized stocks:
$24.4 billion: DEX trading volume.
$1.13 billion: Total supply of tokenized stocks.
1.8 million: Number of holders.
According to published data, BNB Chain leads other blockchains in tokenized stock trading activity.
This growth shows that trading activity in traditional assets in tokenized form is expanding across

Many people treat “buying the dip” as technical analysis, but once the moving averages form a bearish alignment, a rebound is merely a recovery, not a reversal. $ETH is currently at 2333.14; MA5=2334.15 has crossed below MA20=2344.97, and the price is trading near the lower Bollinger Band at 2315.4. The MACD histogram at -1.349 remains below the zero line, while RSI at 40.7 is weak but not oversold, indicating weak consolidation rather than panic selling. The funding rate of +0.0038% shows that longs are still paying to hold positions. Combined with the neutral Fear and Greed Index reading of

Ledger, Trezor, SafePal, Coldcard and now Keystone.
5 different hardware wallet attacks.
Keystone Hardware apologizes and says hackers got into its website and grabbed customer names and shipping addresses, with seed phrases untouched.
Are your funds safu?

15 Mining Giants Back It Together: Is AI About to Take Over Bitcoin Mining?
Tether just launched an open-source MDK framework, with names like Bitdeer, Bitmain, Canaan, MicroBT, F2Pool, Foundry, and Proto all on the pledge list.
The core request is simple: stop having every mining machine speak a different dialect.
In the past, managing machines from different manufacturers meant integrating each interface one by one, reinventing the wheel, and facing exorbitant operating costs.
MDK's approach is to have each company write its own Worker to translate its interface into a unified one, so applic

Trade to Draw, Unlock XAUT & SLVON Prize Pools https://www.gate.com/campaigns/6565?ch=8756&ref=VLARBF1YAG&ref_type=132

AGT | Short 🔴 | Bearish | 15-minute, 24-hour: -15.61% | Volume: 53.1M USDT. Short rationale: Price below EMA200; EMA20/50/200 in bearish alignment; RSI14 at 33.6; MACD histogram negative; ADX14 at 34.8; volume at 0.63x the 20-candle average; trend pullback/continuation. Entry: 0.06614 Stop-loss: 0.0723325 Take-profit 1: 0.0583994 | Take-profit 2: 0.0537551 | Take-profit 3: 0.0475626. Entry price is for reference only; do not chase the trade. The trading strategy is invalidated if the stop-loss level is hit. Technical analysis strategy only; not investment advice.$AG

Wake up
Eat
Pray
Print
Repeat

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

Why can a strategy perform well in backtesting yet incur sustained losses in live trading?
A trading strategy may have a high backtest win rate, a steadily rising return curve, and a seemingly acceptable maximum drawdown.
But once deployed in the market, the results can be completely different: trading costs continue to accumulate, actual execution prices deviate from expectations, several trades in a row incur losses, and the once-impressive return curve gradually loses credibility.
So where exactly does the problem lie?
Backtesting measures a strategy’s performance under specific historical