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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 the strategy achieves the highest possible backtest returns. But better historical performance does not necessarily mean a strategy is more reliable. Overfitting to historical data can instead make a strategy less able to adapt to future markets.

First, what is backtest overfitting?

Backtest overfitting occurs when a strategy is overly ta

The U.S. labor market is adding to the turmoil too! Inflation has fallen, so why is the Fed still afraid to cut rates?

Many people think that as long as U.S. inflation falls, the Fed can comfortably cut rates. But in reality, there is another important variable that is often overlooked: the labor market.
If employment is too strong, it may mean wage growth and consumer demand remain robust, making inflationary pressures difficult to eliminate completely; if employment is too weak, it may mean the economy is losing momentum.
This puts the Fed in a dilemma: if the economy is too hot, it doesn’t

$GRAM #GRAM
Preparing for breakout of Descending Channel.
Successful breakout could provide 40-45% rise during coming days✍️

$GT I've been dollar-cost averaging into GT consistently and forgot to post, so here it is now. GT seems to be the only one I DCA'd that hasn't taken a big loss. I bought some when it was at six. Ah, I should've bought more. The other coins I've been DCA'ing have tanked. Guys, if you have spare cash, DCA in.

It’s not hard to see that this is the bottom; the hard part is having the patience to hold on, keeping leverage in check, and staying the course.

$HYPE Today, just one anomaly: price at 74.58, down 11.7% over 7 days, stuck at the bottom—yet volume has been about twice the usual level all along. I hadn’t checked the past couple of days; took a quick look today…and wait, it’s the one making waves elsewhere, and it’s also behind a new on-chain development: an L2 built specifically for arb settlement has moved to HyperEVM, all of uni’s V2, V3, and V4 are live, and gas is settled in HYPE.

Here’s the question: a pile of new things are pouring onto the chain, but the price keeps sliding toward its 7-day low, while volume stays about the same.

What Is a Retest Confirmation? Why Can a Retest After a Breakout Sometimes Be an Opportunity and Sometimes a Reversal Signal?

In cryptocurrency trading, after the price breaks through a key resistance level, it may pull back to around the former resistance, find support again, and continue rising. But it may also fall quickly after the breakout and return to its previous trading range. That is why retest confirmation is an important aspect of breakout trading worth examining.

First, what is a retest confirmation?

After the price breaks through a resistance level, it returns to test the area

WTI Crude Oil is not at all liking this De-escalation in US-Iran War..
Stock Markets However, are loving it..

Tonight's CPI: What really affects BTC is not a single number, but expectations for a December Fed rate hike

Tonight, the market is watching U.S. October CPI.

This report comes with a special circumstance: the official release will not include the usual year-over-year CPI and core CPI figures, so the focus is on monthly changes.

The market is mainly watching two indicators:

Monthly CPI: expected to rise 0.3%, after rising 0.6% last month.

Monthly core CPI: expected to rise 0.2%, after rising 0.3% last month.

Expectations suggest that overall inflation is showing signs of cooling, but thi

What Is Signal Filtering? How Can False Breakouts and Invalid Entries Be Reduced in Crypto Trading?

In crypto trading, many traders immediately chase the price when it breaks through a resistance level, but the price sometimes quickly retreats, forming a false breakout. The purpose of signal filtering is to screen out low-quality opportunities using predefined conditions after a trading signal appears, reducing unnecessary entries. However, more filters do not necessarily make a strategy more reliable.

First, what is signal filtering?

Signal filtering means checking the trend, trading volum

When the sale pressure gets weak💹😏
You know what happens NEXT⚡️👀
#VOLT robinhood:0x5d102d1e69e77591d486aa4f663b3645151bbdf6 0x5d102d1E69E77591D486aa4f663B3645151BBdf6

Paradigm just led a round at a $1B valuation for a new company.
@mavriaX came out of stealth yesterday with $130M raised so far, per the company. They build AI data centers in a factory, like a product. First unit, Terrain 01, is already in production in Houston. Check image for the scheme.
A crypto VC putting money into steel and power instead of another L2 says a lot. Probably something really big.
Keeping an eye on this one.

#ETH At the current price of 2105, ETH is still tracking BTC closely. The ETH/BTC ratio has continued to decline recently, and ETH is clearly underperforming Bitcoin, making an independent rebound difficult. The first short-term resistance is around 2150–2170, a range where ETH has faced selling pressure several times recently. For ETH to strengthen, BTC needs to hold above 76000, and ETH needs to break above this range on higher volume before it has a chance to test around 2220. The first support below is 2080, a key level to defend for now. If ETH breaks down along with BTC, the next support

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

What is model calibration? Why doesn’t a 70% probability of a price increase mean the price will definitely rise?

In cryptocurrency quantitative trading, a machine learning model may predict a 70% probability that BTC will rise in the next period. But this does not mean the price will definitely rise, nor does it mean the model is actually 70% accurate. To understand whether probability predictions are reliable, it is important to understand model calibration (Probability Calibration).

First, what is model calibration?

Model calibration concerns whether predicted probabilities match actual

Geopolitical tensions suddenly ease, crude oil plunges, and stocks celebrate! How should we view this rally?

What is the market never short of? Not opportunities, but plot twists that get your heart racing.
A few days ago, geopolitical conflict had investors so nervous they could barely sleep, while crude oil prices seemed to be rocketing higher. Then, unexpectedly, signs of easing emerged, and the market immediately put on a different face: crude oil retreated, global stocks rebounded, and risk appetite picked up again.
It’s like two people have just had an argument, and one suddenly says, “

$UNI
O light of hope, a lone touch of green among a sea of flowers!