Pi is free, but time is not free. 5 years x 10 seconds a day = 5 hours of your life spent tapping. Is 5 hours worth maybe $50k? What's your hourly rate for tapping Pi? Let's calculate.
#PiNetwork
#ShareWeekly
#GateSquare
#WCTCS9

No way this is real. No one would do "Thomas the Train" plastic surgery.
Hey @grok, is this AI?

What Is Rolling Backtesting? Why Is One Out-of-Sample Test Still Not Enough to Prove a Strategy Is Reliable?

Passing a single out-of-sample test does not mean a trading strategy will remain effective in all market conditions. A particular period may happen to favor the strategy, so we also need rolling backtesting to observe its performance across different time periods.

First, what is rolling backtesting?

Rolling backtesting involves repeatedly using past data, in chronological order, to develop or optimize a strategy, then testing its performance on a subsequent period of data that was no

#BTC跌4% #Gate直通IPO第三期Anthropic Bitcoin Breaks Below $70K: BTC at $68,663, the $67K Support Test and the Search for a Real Bottom

Bitcoin's correction has entered a more important technical phase. The $70,000 psychological level has given way, and the latest price reference of $68,663 puts BTC close to a major weekly support zone. This is no longer simply a question of whether buyers can defend a round number. The market needs to prove that demand is strong enough to absorb selling, ETF withdrawals and forced derivatives liquidations.

From the $80,000 area mentioned in the earlier market up

At $940 per ZEC, are you cutting your losses or buying the dip?
It’s only been 6 days since the NU7 upgrade went live, and the price has fallen from 1400 to 880. Grayscale spent $1 million on advertising, yet the ETF is seeing net outflows. Was the upgrade a failure, or are whales using the good news to shake out the market?

First, the surface picture: the good news is out, and the price has reversed lower.

ZEC is down 25% over the past 7 days and also down 25% over the past 30 days, plunging from highs of 1300-1400 to 880. Liquidation data over the past 24 hours shows longs took the hardest

Funding rates are positive, but the trend is plunging like a waterfall; don’t try to catch a falling knife. Open a small short position on $BULLA . Sell zone: 0.04411 - 0.04508 Take profit: 0.04125, then 0.03857 Stop loss: 0.04733 Please note: Extremely oversold RSI may trigger a sharp, volatile mean-reversion bounce. Don’t go all-in, buddy. Size your position according to your account size.

The person at the helm of ByteDance’s SeeDance is a ’97-born 4-2
So damn impressive

When Market Conditions Change, Should You Adjust a Trading Strategy’s Parameters or Stop Using It Altogether?

A trading strategy’s past success doesn’t mean it will always be suitable. When the market shifts from trending to range-bound, or liquidity and volatility change significantly, the strategy’s performance may decline. The key is not to rush into changing parameters, but to first identify the root cause.

First, determine whether the market has really changed. Observe indicators such as volatility, trading volume, trend strength, and liquidity to see whether current conditions have mov

He deleted all the APIs. Looks like this one really hurt.

How can you identify market regimes? Why might the same trading strategy perform very differently in bull, bear, and sideways markets?

In cryptocurrency trading, many people look for a fixed strategy that they hope will keep generating profits regardless of how market conditions change. But markets do not always behave the same way. When trends, volatility, and capital flows change, the same strategy can perform quite differently.

First, what is a market regime?

A market regime refers to the overall characteristics of market activity during a given period. It can generally be classified as

As for SOL’s move today, those who saw the strategy this morning should know. $SOL

This morning, I clearly outlined a short setup in the 81.8–82.5 range, with an initial target of 80.2, followed by 79.0.

The market did not disappoint us. It continued to fall, reaching a low of 77.92.

Many people like to wait until after the market has moved to look for a direction, but truly valuable analysis means anticipating the move before it begins.

I don’t need to chase the market every day. I just need to identify key levels, map out the trading logic, and manage risk in advance.

Getting the direc

The fear index plunged to 20, and the market couldn’t even manage one decent relief bounce.
$BTC wicked down to 68307, with the maximum intraday drawdown nearing 7%; $287 million in positions was wiped out within an hour, 97% of them longs. ETFs have seen net outflows for 6 consecutive days, with over $2 billion quietly pulled out. 69000 is now a hurdle; if it can’t reclaim that level, keep an eye on 67000 and 65000.
$ETH also failed to hold 2000, bottoming near 1922. It’s down nearly 15% over four weeks, and ETFs have bled for 5 consecutive days. 2000 has turned from a floor into a ceiling;

Good moornings chat <3
Whatever you do, don’t check charts and go touch grass.

What Is Trading Signal Confluence? Why Doesn’t It Guarantee a Successful Trade When Multiple Indicators Give Similar Signals?

In cryptocurrency trading, traders often use moving averages, RSI, MACD, trading volume, and support and resistance analysis to assess the market. When multiple signals point in the same direction, many people assume the probability of a successful trade must be higher. But more signals do not necessarily mean stronger evidence, nor do they mean the market outcome is already certain.

First, what is trading signal confluence?

Trading signal confluence refers to differ

Tokenizing stocks is the easy part.
Making them liquid, tradable, and useful across DeFi? That's where things get interesting.
Spoke with 3 teams building the next layer of tokenized equity infrastructure.
Here’s what I learned ↓
-------------------------------------------------
1. Treasures Finance
Tokenized stocks are growing fast. But liquidity remains one of their biggest challenges.
New tokenized stocks are launching almost every week, increasing fragmentation across issuers, chains, and trading venues.
And with every new token, the need for liquidity and market makers continues to grow.

What Is Trade Expectancy? Why Does It Better Reflect a Strategy’s Long-Term Profitability Than Win Rate Alone?

In cryptocurrency trading, a high win rate does not necessarily mean making money, and a low win rate does not necessarily mean losing money. What really matters is how much profit or loss each trade produces on average over time when you consistently trade by the same set of rules. This is the core meaning of trade expectancy.

First, what is trade expectancy?

Trade expectancy (EV) is a metric that combines win rate, average profit, and average loss to estimate the long-term averag