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Over the past month, on-chain analytics have shown a significant trend that demands our attention: approximately 170,000 BTC have been withdrawn from crypto exchanges. Consequently, the total exchange balances for Bitcoin have dropped to a 5-year low.
However, behind the facade of technological progress lie fundamental legal, economic, and ethical problems that call into question the real value of RWA for the end user.
Most articles online describe liquidations in very general terms: “a position gets closed by a margin call, which amplifies the move.” But the real mechanics of liquidations are far deeper. To truly understand them, we need to examine how the margin system is structured, what exactly the exchange’s liquidation engine does, and how large players exploit these mechanics.
The cryptocurrency market differs from traditional markets in one crucial way: transparency. Every trader can see the order book in real time, with bids and asks clearly visible. But this transparency is also deceptive, because it gives professional players—“whales,” market makers, and funds—room to manipulate perception.
Every time Tether “prints” another billion USDT, the crypto world shrugs as if this were a normal transaction. But let’s call things by their real name: this is the largest legalized financial fraud in modern history. And it has real owners, real lawyers, and real backers.
A Complete Technical and Practical Guide. Freqtrade is an open-source, Python-based cryptocurrency trading bot that can run entirely on local hardware. It supports fully automated trading strategies, integrates AI/ML models for signal generation, and can connect to multiple exchanges using API keys.
New traders often feel overwhelmed by market chaos—candles jumping around, indicators contradicting each other, and news creating panic. Many trade impulsively, relying on gut feelings or random signals, which often leads to blowing up their account.
In this article, we’ll break down lesser-known but highly effective crowd signals that can help you time your trades, avoid common traps, and capitalize on the herd’s emotional swings.
Algorithmic trading is no longer exclusive to hedge funds and institutional players. Thanks to Python and open-source libraries, anyone can develop their own trading strategies, automate processes, and even create profitable systems. In this article, we’ll cover how to write trading algorithms, what tools to use, and how to test your strategies before deploying them live.
This article will break down how to efficiently use bots to trade on multiple crypto exchanges at the same time, covering specific tools, frameworks, and real-world applications you can implement immediately.
So what really drives the price swings? Let’s cut through the noise and break down the real, unfiltered factors—the ones that insiders know but don’t always say out loud.