This trading bot buys Bitcoin markets at 33–56¢, then sells at $1.
In under 4 months, it made $207,783.52 using this strategy.
No 6¢ lottery tickets, no dreams of getting rich a hundredfold.
Just near coin-flip bets, over and over.
There are only 288 five-minute Bitcoin windows in a day.
On profitability:
Its best trades returned 80–200%, not over 500%:
· Bought “Up” at 32.9¢: invested 2,022 (+204%)
· Bought “Down” at 38.6¢: invested 2,525 (+159%)
· Bought “Down” at 55.7¢: invested 2,574 (+80%)
Profile:
Any single trade on its own won't change your life.
A 1.7% edge sounds negligible.
But on $

BTC-0.67%

UP-1.81%

POLYMARKET+0.00%

Trenches

TTWO

TTWo...FbKo

Market Cap

Change

24h Vol

Holders

BNCB

0x49...ec3f

Market Cap

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24h Vol

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STONK

6GmA...UNgx

Market Cap

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ZIG

0x8c...1145

Market Cap

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0xc0...0589

Market Cap

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OldZhangTalksAboutTrends41 minutes agoBearish

$BTC Trapped in 83000 longs? Lao Zhang issues an urgent warning: If 80000 gives way, the next target is 79000!
Folks, how are your 83000 longs feeling right now? You’re down nearly 4%—it’s not bad luck; you just happened to open your long position in a resistance zone.
The reason for today’s sharp drop is clear: a Middle East ceasefire proposal was rejected, oil prices surged to $102, inflation expectations are rising again, and risk assets are being drained across the board. More importantly, the FOMC meeting is tonight, and market jitters have already drained liquidity. Buy orders near 80000

BTC-0.65%

ETH-1.23%

CryptoCircleBullSays 2 hours ago

$GOOGLB Currently at 293.54, down 9.93% over 24H (range: 287.85–327.65). The 1H/4H trends are both weak. RSI at 20/24 is oversold, but volume is only 0.48x the average. The 1H/4H resistance levels coincide at 327.65; holding above this level is needed to ease the downtrend. A break below the 287.85 support could accelerate the decline. Watch whether a test of 327.65 is accompanied by volume; a rebound on low volume could easily fail. Market volatility is high. For observation only.

LiuBeiPrince an hour ago

A friend said, “I don’t watch the markets every day. I just put my coins in a pool and earn a share of the fees.” It sounds like collecting rent, but where does that income actually come from?
Think of a liquidity pool as an automated exchange counter. When someone wants to swap one coin for another, the counter needs assets available for exchange.
The people who provide those assets are called liquidity providers, or LPs for short.
When users swap through the pool, the protocol charges a trading fee according to its rules, and part of it goes to eligible LPs. Some pools also allocate a portio

ShunYue 2 hours ago

Bitcoin’s early-morning outlook
Trade:
Short near 80,500–81,000 on a bounce
First target: 80,000–79,500
Second target: 79,000–78,500
Set your stop-loss
Bitcoin plunged early this morning, breaking below the lower band. MACD formed a high-volume death cross, and the bearish trend is extremely strong. But RSI has fallen into extreme oversold territory, so shorting now is like catching a falling knife and could easily get stopped out on a rebound. Weak markets require better timing. Why short today? Because the broader structure is downward, and the bulls have been crushed. Why not enter now? The

BTC-0.65%

MrFlower_XingChenan hour ago

#FedKeepsRatesSteady
The Fed Holds Rates Steady: Why Bitcoin’s Next Move Depends on More Than Interest Rates
The Federal Reserve has delivered its October decision, keeping interest rates unchanged at 3.75%–4.00%. But the most important message for crypto markets is not the pause itself. It is what the decision reveals about the Fed’s confidence in the economy, its concerns about inflation, and the direction monetary policy could take next.
The decision was approved by a 10–2 vote. Two policymakers preferred a 0.25-percentage-point rate increase, highlighting that concerns about persistent in

BTC-0.65%

ETH-1.23%

Maneki_neko44 minutes ago

What Is Time Series Cross-Validation? Why Can’t You Randomly Shuffle Training and Test Sets for Cryptocurrency Forecasting?
In cryptocurrency quantitative trading, machine learning models often need to be trained on historical data to predict future price movements. But if all the data is randomly shuffled and then split into training and test sets, as in a typical classification task, the chronological order may be disrupted, making the model’s evaluation results overly optimistic.
First, what is time series cross-validation?
It is a method of organizing training and validation in chronologic

WalkerGo 6 minutes ago

Holy shit, holy shit, Google is down
This is an ominous sign.

GateLiveChinesean hour ago

🎃 Gate Live Halloween Candy leaderboard sprint is on! The top 100 win cash rewards! 🍬
👻 Halloween celebration week is entering its final stretch! How's your candy collection coming along?
🍬 Climb the Candy Leaderboard: Accumulate candies, and the top 100 win 1–5 USDT in rewards!
🎁 Collect candies for a chance to win a prize: Collect 2 candies for a chance to win a Gate scarf gift box!
🔥 Don't miss the daily tasks: Watch livestreams, like and comment, and keep collecting Halloween candies!
🎙️ Go live with a themed stream to win cash: Stream during the event for up to 30 USDT in rewards!

LiuBang an hour ago

A project is being used by more and more people around you, and there’s plenty of news about it. You bought its token, thinking: The product is so popular, so the token should benefit too, right?
The key is how the product’s popularity translates into value for the token.
It’s like a shopping mall that’s packed every day. Whether the loyalty card you hold becomes more valuable depends on what the points can be redeemed for and the rules for using them—not just how many people are lining up at the entrance.
The same goes for tokens: Do users need to buy or spend the token to use the product? Wh

CryptoMishu2 hours ago

GateLive2026-10-29 02:26:01

Today's Topic Recommendations:
🔹Microsoft's Cloud Business Beats Expectations Again! With Cash Flow Holding Steady, Can Microsoft Come Out on Top in the AI Spending War?
🔹Microsoft's Q3 Revenue Jumps 19% as Azure Surges 48%! Is AI Investment Finally Paying Off, and How Much Upside Does Microsoft Stock Have Left?
🔹Gemini Surpasses 1 Billion Monthly Active Users! Google Plans to Spend Even More Next Year. Who Will Actually Make Money in the AI Race?
🔹Google Cloud Revenue Surges 103%, but Shares Plunge Nearly 10% After Hours! With Profits Down 25%, Why Isn't Explosive AI Growth Enough to Save the Stock?
🔹AI Stocks Are Soaring Again! SK Hynix Surges 13.3%. Which Sector Will Produce the Next 2x Stock: Memory Chips, Optical Communications, or Neocloud?
🔹Samsung's Net Profit of KRW 75.2 Trillion Misses Expectations! Can Its Massive KRW 30 Trillion Dividend Payout Restore Investor Confidence?
🔹Warsh Warns AI Stocks Aren't Immune to Rate Hikes! With High Interest Rates Already Weighing on Tech, How Much Longer Can the Bull Market Last?
🔹The Fed Holds Rates Steady as Warsh Denies Political Interference! With Policy Schedule Reforms Planned for Next Fall,
What New Signals Should Markets Watch?Pick any topic and go live for a chance to be featured on the homepage!
🔥 More livestream topic ideas and tips: https://www.gate.com/help/community-center/live_chat/49345

MSFT+0.17%

GOOGL+1.58%

SK Hynix+1.78%

SKHY+13.30%

SKHYV-0.98%

ACaiStar an hour ago

Seeing fees flow into a liquidity pool every day feels pretty good. But when you do the math, you realize that if you hadn’t put those coins in and had just held them, you might have more now.
This involves what people often call “impermanent loss.”
Take a common two-token automated market maker pool as an example. When the relative prices of the two tokens change, trading and arbitrage cause the proportions of assets in the pool to shift. What you withdraw may not be the same quantities of each token you put in.
Think of it as an automated exchange counter: when one type of asset gets more ex

QueenOfTheDay23 minutes ago

hallowen candy challenge carnival

LIVE1,748

BlockchainTuoge16 minutes ago

That White House post has stirred things up again, with people batting “2% versus 9%” back and forth. The comments section is like a ping-pong match. After watching this kind of back-and-forth, what’s really interesting isn’t who has the loudest voice, but this: whoever is in the White House, the market believes they’ll keep prices under control—the key is expectations, not magic. During the Obama years, prices really didn’t spiral out of control: average annual CPI inflation was about 1.8%. It even briefly turned negative in 2009. In 2011, rising gas prices pushed headline CPI close to 3.9%,

GAS-0.57%

GuZhiyao 2 hours ago

10.29 Bitcoin Positioning Strategy$BTC
After the market surged to a high of 81759, bullish momentum gradually faded and prices came under pressure and pulled back. The upper Bollinger Band began turning downward, and the candlesticks continued to move away from it, successively breaking below the middle Bollinger Band support. The channel shifted from an upward trend to opening downward.
Prices are currently continuing to weaken along the lower Bollinger Band, with bearish pressure concentrated and selling accelerating. Bears are in control in the short term, with no clear signs of stabilizat

BTC-0.65%

Maneki_nekoan hour ago

What Is Backtest Overfitting? Why Can a Strategy With Perfect Historical Performance Fail Completely in Live Trading?
In cryptocurrency trading, some people keep adjusting indicator parameters, take-profit and stop-loss levels, and entry conditions until the strategy achieves the highest possible returns in historical backtests. But better historical performance does not necessarily mean a more reliable strategy. Overfitting to historical data may instead make a strategy less capable of adapting to future markets.
First, what is backtest overfitting?
Backtest overfitting occurs when a strategy

GateUser-fcd5a053 an hour ago

GitHub Copilot Fusion is officially GA, but the real change isn’t that the models got stronger—it’s that you no longer have to choose one yourself?
From the research preview in September to general availability, GitHub has replaced “which model to choose” in the model selector with “how much effort to use”: Standard for everyday coding, High for complex tasks and deeper reasoning, and Max for the toughest jobs.
Under the hood, it uses three execution modes: Single, Cascade, and Critique—one model handles the task directly, an efficient model drafts first and then decides whether to escalate, o

Unoshian hour ago

#BTCBattlesFor80000
Today is Thursday and we see Bitcoin below $80k again so is it going to fall more than this or no ? Following days and weeks will be the key ! I think market waiting some news ..

BTC-0.67%

TradersDelayedByPoorlyWritten2 hours ago

Cycles are the underlying logic of all planning.
The application of cycles,
can be used not only for trading,
but also in all aspects of life, including nature, the economy, society, businesses, and more.
#btc #ETH

BTC-0.67%

ETH-1.26%

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