The long from 4089 already has $14 of room. News-driven price action is choppy, and the wick was quickly pulled back. Anyone else follow along?
$ETH $XAU #黄金 #AVAX利好短时上涨6.4%

What is backtest overfitting? Why might 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 backtest returns are maximized. But better historical performance does not necessarily mean a more reliable strategy. Overfitting historical data can instead make a strategy less able to adapt to future markets.

First, what is backtest overfitting?

Backtest overfitting is when a strategy becomes excessively adapted to price movements and

US stocks suddenly surge! Tech stocks rebound across the board—is the bull market really back?

US stocks have finally had their moment in the sun! Investors who were previously worried about lofty valuations, no rate cuts, and rising geopolitical risks suddenly found that their stocks were rebounding across the board. It feels like payday just arrived, and you can finally forget about the mortgage for a while.
The focus of this rally is still tech stocks and the AI sector. After all, one of the key drivers of the US stock market in recent years has been artificial intelligence. From chips and

running after the next shiny thing (aka @Enter_Elysium ) can be tempting
but let's be honest, why would the chain survive?
it's just an hyperEVM copy with faster txs
with the same onchain grifters than on SOL/RH deploying vapor coins
still congrats to the guys early on it

What Is SHAP? How Can We Explain Why a Machine Learning Model Gives a Bullish or Bearish Prediction?

In crypto quantitative trading, machine learning models may use features such as price momentum, trading volume, volatility, and funding rates to predict future movements. But when a model gives a bullish or bearish prediction, that does not mean traders know why it made that call. SHAP is a method for helping explain model predictions by analyzing how different features contribute to an individual prediction.

First, what is SHAP?

SHAP is based on the idea of Shapley values, which allocate c

You have to get back up where you fell, and the same goes for trading. The real problem is that SpaceX may never return to 120. Can I still wait for a chance to rebuild my position at 120? $SPCX
Risk warning: The above is only my personal opinion and does not constitute investment advice. The crypto market is highly volatile, so please manage your risk.

What Is Time Series Cross-Validation? Why Can't You Randomly Shuffle Training and Test Sets for Cryptocurrency Prediction?

In crypto quantitative trading, machine learning models often need to be trained on historical data before predicting future price movements. But if you randomly shuffle all the data and then split it into training and test sets, as in ordinary classification tasks, you may disrupt the chronological order and make the model's evaluation results overly optimistic.

First, what is time series cross-validation?

It is a method of organizing training and validation in chronol

Swing short on Nasdaq (1/3 size)
Because we might get a lot of volatility later on today on the CPI news and also because I'm a breakout trader not swing, I opened a 1/3 size short on Nasdaq.
Entry: 27993.80
StopLoss: 28991.28
TakeProfit:25998.86
RR: 2
Plan:
1. Take partial profit at 27,144
2. Move SL to breakeven once a daily candle closes below 27,144

Are you seriously such a jerk? I held a short position all afternoon and just got out. I can't believe this #黄金CFD

Flare co-founder Hugo Philion to XRP holders:
"What are you doing to put your XRP to work?"
FXRP supply on Flare is now 144,638,293, held by 14,749 addresses, with each token representing one XRP.
@FlareNetworks @HugoPhilion

If Trump wasn’t president, Bitcoin would probably be trading at $150K–$200K right now.

gm Elysium printers
another day to log on and lose money.

What is out-of-sample testing? How can you tell whether a trading strategy truly generalizes?

In cryptocurrency trading, a strategy that performs well in historical backtests does not necessarily mean it can adapt to future markets. To prevent a strategy from simply memorizing past data, traders need to use out-of-sample testing to check whether it still performs reasonably on data that was not used in its development or tuning.

First, what is out-of-sample testing?

Out-of-sample testing means using data that was not involved in selecting or optimizing strategy parameters to evaluate the st

$H
UPDATE
#H already breakout done. In this move we can see 30%+ drop here ✍🏻
#HUSDT #HBTC #BTC #Bitcoin #NFTs

I was a little warrior as a kid, and a veteran when I grew up.

What Are Support and Resistance Levels? Why Does Price Often See Repeated Battles in These Areas?

In cryptocurrency trading, BTC may sometimes rebound after falling to a certain area, or pull back after rising to another area. These recurring price reaction points are often related to support and resistance levels. But they are not precise boundaries that guarantee a price reversal; rather, they are important tools that help traders analyze market structure.

First, what is a support level?

A support level is a price area where stronger buying may emerge during a decline, potentially slowing