In the 20th century, dictatorship carried the image of soldiers in uniforms, parades, and propaganda posters. Power was enforced through fear: gulags, firing squads, and mass surveillance by informants. Today, authoritarianism no longer enters the public square with tanks or bayonets. It arrives on your phone screen—through apps, notifications, and sleek design.
From Face ID to Fingerprints in the Subway Biometric identification is rapidly evolving into a universal tool for verifying identity, gradually replacing traditional documents and passwords. What seemed exotic just a decade ago — fingerprint scanning — is now becoming the dominant form of authentication, from unlocking smartphones to paying for subway rides.
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.
Smart cities promise convenience, but in reality, they enable mass surveillance through 5G, facial recognition, and IoT devices. Discover the hidden control systems behind the technology.
Step-by-step guide to enabling PGP encryption in Psi+ on Windows and Linux: install Gpg4win, generate and assign keys, activate secure messaging with OpenPGP
A brutal breakdown of global change: surveillance rise, democracy collapse, wealth centralization, and digital resistance — the future is now.
Even the largest, most regulated crypto exchanges with billions in trading volume have fallen to hackers. What the history of exchange hacks really teaches us is simple: security isn’t about paperwork — it’s about infrastructure. Anonymous, privacy-first platforms like EXMON that avoid storing personal data often turn out to be far more resilient in the real world.
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 a world where your every move is tracked, where your data is bought and sold like a cheap commodity, and where “compliance” is just another word for submission, we stand for something different.
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.