What is walk-forward backtesting? Why is a single out-of-sample test still insufficient to prove a strategy is reliable?
A trading strategy passing a single out-of-sample test does not mean it will remain effective in all market conditions. A certain market period may happen to suit the strategy, so we also need walk-forward backtesting to observe its performance across different time periods.
First, what is walk-forward backtesting?
Walk-forward backtesting repeatedly uses historical data to develop or optimize a strategy in chronological order, then tests its performance on a subsequent peri

🟠 Michael Saylor's Bitcoin Treasury Secures Nearly $1 Billion in Profit
The world's largest Bitcoin treasury firm, chaired by Michael Saylor, Strategy is winning on its consistent Bitcoin bets even at a time when the broader crypto market continues to struggle amid prolonged volatility.
While the firm had just added another 811 BTC worth about $65.5 million to its fast-expanding Bitcoin stash during a market dip in the final week of October, it has further tilted its holdings a little higher.
🔸 Saylor's Bitcoin bet is paying off
Latest data from Arkham Intelligence shows that Strategy's unre

The apocalypse is really here... Someone tell me, what the hell is -31°C...

$ESPORTS It will keep falling; my accuracy reaches around 98%.

We may be at this point:
There will definitely be several more rebounds in the future, just like in September
But without a long-term mindset, macro-level analytical skills, and the ability to see through the fundamental problems with AI investment at a glance
you absolutely won't be able to hold firm,
nor will you be able to wait until the day AI completely collapses,
That will definitely make the news—the national evening news broadcast
Thank you, everyone

$HYPE rebounded from a low of 85.15 to above 86, rising 0.8% in two hours, but trading volume over the same period was 23.5% lower than in the previous two hours. Although the price has recovered some ground, sentiment has not warmed up in tandem—the descending channel near 87 is still weighing on it. The current price action looks more like churning within a low range than a capital-driven counterattack. There has been a recovery, but it is hardly convincing.
$BEAT It briefly rebounded to 0.10 intraday, then was pushed back down. It fell from 0.10966 to 0.09752; the 0.10 level failed to hol

$FPS
It has successfully formed a double bottom.

Crypto spent two years begging the Fed for cheaper money. The Fed apparently heard the opposite.
September brought the first rate hike since 2023. October brought two officials demanding another. Now markets see roughly 73% odds of another hike on December 9.
Bitcoin's waiting for a liquidity party. The Fed just raised the cover charge.
Mark December 9.

Driven by falling U.S. stock futures, the crypto market fell again in early trading. 2300 remains firmly unbroken, and short positions are in profit! #Gate多项排名全球Top2

#Nas100 November trade #8
I opened a short position before bed last night, and woke up to collect the profits.

$BTC 11.4 Bitcoin price trend analysis
Bitcoin is currently in the volatile correction phase of major Wave 2, with two possible scenarios:
1. Yellow line: The decline completes at the current point in the WXY structure, and the main Wave 3 rally begins directly.
2. White line: The current rebound is only Wave X, and a further downward leg in Wave Z is needed to complete the correction.
The smaller timeframe has yet to form an upward trend structure, which is more consistent with a Wave X rebound. Expect continued volatility.
Risk disclaimer: This is only an analysis of market structure and doe

$XRP setting up in an Inverse Head & Shoulders pattern!
Reversal and pursuit back towards All Time Highs can be in the works here...

$$AGT I only caught the first bit of this move and ran, and now looking at the K-line makes me want to kick myself. I entered at 0.031 yesterday with 20% of my position. This morning it surged to 0.058, but my limit order didn’t fill. I manually took profit when it pulled back to 0.052, and now it’s at 0.0436. The 24-hour range was 0.0272 to 0.0619, with $287 million in trading volume. With turnover this high, I somehow only snagged less than 30%. It’s a mindset issue: when it rises too fast, I can’t hold on and keep worrying about giving back profits, so I end up selling before the main rall

Everyone is equal before Myanmar A 🤭

#每周来晒 #美股财报季
Positive news for the AI industry sparks a broad early-morning rally!
On the morning of November 4, the three major U.S. stock indexes closed mixed, with the Nasdaq up 0.83%, the S&P 500 up 0.36%, and the Dow down 0.38%. Chip stocks rose, with the Philadelphia Semiconductor Index up 2.63%.
AI hard-tech stocks rallied across the board. At the close, CoreWeave rose over 7%, Oracle over 5%, SanDisk over 4%, and SpaceX 3.62%. Advanced Micro Devices (AMD) and Broadcom rose over 3%, while NVIDIA, Micron Technology, SK hynix, Western Digital, Seagate Technology, ARM and others rose over

GN foxes 🦊🌗
Shill me an underrated #GEM you are scouting 💎

How can out-of-sample testing help avoid mistaking chance patterns in historical market data for a lasting edge?
A trading strategy that performs well in historical backtests does not necessarily mean it can adapt to future markets. To reduce the risk of overfitting, out-of-sample testing is a crucial step in the strategy validation process.
First, what is out-of-sample testing?
Simply put, it means dividing historical data into different periods: one portion is used to develop the strategy and adjust parameters, while another is excluded from optimization and reserved specifically to test how