What is survivorship bias? Why can studying only coins that still exist today overestimate a strategy’s returns?

In the cryptocurrency market, some traders select currently popular and actively traded coins for historical backtesting, then use the results to assess whether a strategy works. But if they ignore projects that have been delisted, lost liquidity over time, or performed extremely poorly, the backtest results may be systematically biased. This phenomenon is called survivorship bias.

First, what is survivorship bias?

It refers to focusing only on objects that still exist or have su

What Is Feature Engineering? How Can More Valuable Trading Signals Be Extracted from Price, Volume, and Volatility?

In crypto quantitative trading, a machine learning model’s performance depends not only on the algorithm but also on the quality of its input data. Raw price and volume records capture market movements, but may not directly express trends, momentum, and risk. Feature engineering is the process of transforming raw data into information that is better suited for a model to learn from.

First, how can price features be constructed?

You can calculate returns over different periods,

$ARIA Thanks, I couldn't hold on anymore, so I closed out my position and got out. Love you (ღ˘⌣˘ღ), you helped me make some money

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.

Man, $BLOB is so pure.

How should we put it: weight-loss shots can cause blindness?
On the same day the FDA said weight-loss shots may harm the eyes, Lilly closed up 4.3%—it seems the market didn’t take the warning seriously at all 😂
On November 9, the FDA required all GLP-1 drugs to update their labels. Semaglutide, tirzepatide, and the weight-loss pill Lilly got approved this year are all included, with a warning about the risk of the rare eye disease NAION, which can cause permanent vision loss in one eye.
That same day, Lilly issued a press release saying its phase 3 trial of the weight-loss pill Foundayo found

$BTC The short-term downtrend has basically bottomed out, as the price wicked below the first low and then recovered. It then made a second bottom with a false breakdown, once again recovering to near the lower channel boundary. It is now showing a bullish divergence pattern, so a rebound is likely to begin.

The Cardano Foundation is sponsoring IBC's move to the Linux Foundation, with support from Google Cloud and individuals at Wells Fargo, a ~$2.3T bank.
IBC, built by Cosmos, has handled more than $50B across 200+ networks.
@Cardano

Brother Bj arrived at the office at 10 a.m. and opened his futures account. He’s currently down 730,000, and his oil positions are down more than 4 million.
At noon, we grabbed a quick bite, then talked until now. He shared how he built his wealth trading steel in previous years, and today he brought along a bottle of 30-year-old Kweichow Moutai.
We talked in depth over tea. My biggest takeaway: if you don’t understand technical analysis, you absolutely shouldn’t touch futures. This business is nowhere near as simple as people imagine.
The most eye-opening thing was that Brother Bj feels no pr

Can Falling Oil Prices Even Bring Inflation Down? Will U.S. Prices Finally Come Down for Real?

Crude oil prices have pulled back, and the market can finally breathe a sigh of relief. After all, energy prices are a major factor affecting global inflation. Cheaper oil can ease cost pressures on transportation, manufacturing, and aviation companies.
But here's the question: Does falling oil mean U.S. inflation will definitely come down?
The answer is probably not that simple.
U.S. inflation is affected not only by energy prices, but also by housing, healthcare, insurance, dining, and service pri

What Is a Confusion Matrix? How Can You Understand the Exact Number of Correct and Incorrect Predictions Made by a Trading Model?

In crypto quantitative trading, a model may have a high accuracy rate, but that doesn’t tell us where it goes wrong. For example, a model may be good at identifying declines but frequently miss opportunities when prices rise. A Confusion Matrix compares predictions with actual outcomes, helping traders see exactly how the model performs.

First, what does a confusion matrix contain?

Taking the prediction of whether prices will rise in the next period as an example

Doubao has officially integrated the Seedream 5.5 image model, adding three capabilities for image design: stable multi-turn editing, native RGBA transparent asset output, and more accurate rendering of lighting, materials, and complex text.

Rather than simply focusing on making images look good, this update targets real pain points like image cutouts, repeated revisions, and tiny text turning blurry. Whether it can gain a foothold will depend on the consistency of its actual image outputs.

$BTC

Holy crap, holy crap🔥🔥
Finally, 20000 followers!

Is the Nasdaq Rebound Just the Beginning? Whether Tech Stocks Can Hit New Highs Again Hinges on These Three Indicators

The Nasdaq has rebounded, tech stocks are active again, and the market is starting to discuss a familiar question: Has the next rally already begun?
To find the answer, watching index moves alone isn’t enough; at least three key indicators need to be monitored.
The first is capital spending by tech giants. Investments in AI data centers, servers, and chips are a key growth driver for the AI industry today. If major tech companies continue making sensible investments, demand a

What Are Precision and Recall? Why Should Trading Models Not Simply Aim for More Bullish Signals?

In crypto quantitative trading, a model may generate a large number of bullish signals every day, but more signals do not necessarily mean more profitable opportunities. If a model frequently misclassifies downtrends as uptrends, traders may repeatedly hit their stop-losses. Precision and recall measure a model’s ability to identify bullish opportunities from different perspectives.

First, what is precision?

Precision is the proportion of samples actually followed by an upward move among all th

Damn, a college sophomore made 600,000 in two months just by taking action!!!
They say the AI canvas system he deployed is this Infinite Canvas project on GitHub.
The project is now open source, so anyone can deploy it and build on it themselves.
The tool is right there for you. Whether you can make money depends on whether you can get it up and running.
Project link: 👇

Cathie Wood was buying while everyone else was capitulating again. She spent 45.9 million buying Nvidia at Thursday’s lows, then kept adding on Friday. That’s just how she is: the more it drops, the more willing she is to buy. She’s betting on computing power three to five years from now, not this week’s chart. Whether you follow her is another matter, but putting real money on the line beats just calling the bottom. Are you still holding NVDA?

What Is Walk-Forward Testing? Why Can Backtesting Over a Fixed Period Hide Strategy Flaws?

In cryptocurrency trading, market conditions are constantly changing. A strategy may perform exceptionally well in a bull market but suffer frequent stop-losses in a sideways market; it may also make a profit on a particular stretch of historical data but fail to adapt to subsequent volatility. Walk-forward testing can help traders assess how well a strategy adapts across different periods.

First, what is walk-forward testing?

Walk-forward testing typically divides historical data into consecutive tim