A Comparison Between Trend Following (Tidy Little Robot – TLR) and Reversal Trading (Dirty Little Robot – DLR) Algobot Strategies

Algorithmic trading has become a defining force in modern financial markets, offering traders precision, speed, and automation. This article explores the world of algorithmic trading through the lens of two distinct algobots, Tidy Little Robot (TLR) and Dirty Little Robot (DLR). Developed using Pine Script 5 on the TradingView platform and implemented on the Pionex exchange, these algobots navigate the BTC/USDT perpetual market with a 1-minute timeframe. TLR excels in trend-following scenarios, while DLR specializes in identifying reversals. The study delves into their performance, methodology, implications, interpretations, limitations, and future research prospects, offering valuable insights into the evolving landscape of algorithmic trading

Pulmonary Amyloidoma: A Case Report and Brief Review of the Literature

We report the case of a 59-year-old female patient, a former smoker, who was diagnosed with bilateral pulmonary nodules. Extensive medical investigations were conducted, including a surgical lung biopsy, which led to the diagnosis of pulmonary amyloidoma. The diagnostic process was guided by the presence of a persistent, polymorphic, and nonspecific clinical picture, strengthened by imaging findings characterized by mixed nodular lesions and the addition of interstitial involvement, along with partial deterioration of the pulmonary parenchyma architecture. Although it is recognized as a benign tumor, pulmonary amyloidoma requires special care in order to rule out systemic involvement, association with lymphomas, or systemic amyloidosis. This case highlights the comprehensive investigations required in the presence of multiple pulmonary nodules and the wide range of possible diagnoses. It underscores the pivotal role of surgical lung biopsy and histopathological examination. The case is instructive, addressing a rare pathology, on the border between specialties, while also emphasizing potential evolving challenges and providing further insights into the clinical course of this disease