AlgoCloud has recently introduced a wide range of major improvements and completely new features. One of the most significant additions is the new Analytics section, which provides a much clearer picture of how your strategies perform, how much capital they use, and what is happening inside your portfolio. The main dashboard gives you a quick overview […]
In today’s dynamic market environment, many investors are looking for ways to focus on the strongest market segments while avoiding deep drawdowns. One effective approach is the LTTF (Long-Term Trend Following) strategy, which is based on tracking trends in sector ETFs. This strategy is not designed to maximize returns at any cost; instead, its goal […]
For many investors, the “Buy & Hold” approach to the S&P 500 is the gold standard. However, what if you could significantly outperform the index while spending less time exposed to market risk? A simple yet powerful pullback momentum strategy focusing on the S&P 100—the 100 largest and most liquid companies like Apple, Microsoft, and […]
Same rules, different timing = different results. We explain entry and exit triggers and shifting on one concrete example — and how to avoid lookahead bias.
The Golden Cross is one of the oldest signals in technical analysis. When the 50-day moving average crosses above the 200-day moving average, it signals potential bullish strength. The opposite — the Death Cross — signals weakness and a potential exit. Simple in theory. But how far can you actually push a golden cross strategy when […]
In the world of quantitative trading, price action isn’t the only factor that dictates market movement. Seasonality—the tendency of assets to behave differently based on the calendar—can provide a significant edge. One of the most fascinating examples of this is found in the 20+ Year Treasury Bond ETF (TLT), where the time of the month […]
The fastest way to move forward in algorithmic trading is to explore real strategy examples. This mean reversion strategy example shows exactly how one idea becomes a tradable rule set. In this video, you will see how a mean reversion strategy is built around a simple idea: buying assets at extreme price lows and exiting […]
On June 4, 2026, one of the most-hated rules in U.S. retail trading goes away. The end of the PDT rule means small accounts can finally actively day-trade without bumping into the $25,000 wall — but with new risks worth knowing about. FINRA — the broker regulator — is retiring the Pattern Day Trader rule […]
Picking an algorithmic trading platform shouldn’t take longer than building your first strategy. But with dozens of options — some built for quant developers, others for retail traders who’ve never opened a code editor — it usually does. This guide compares the seven best algorithmic trading platforms for stock picking in 2026. Not every platform […]
In the previous article, we covered how to build a stock picking algorithm without coding — the process, the tools, and what to look for in backtest results. This article goes one level deeper: two concrete strategies with real rule setups you can replicate in AlgoCloud today. What Makes a Good Stock Picking Strategy? Before […]
Most people assume building a stock picking algorithm requires a computer science degree, hours of Python debugging, and a server running 24/7 in the background. Ten years ago, that was true. Today, it isn’t. No-code platforms have made it possible to build, backtest, and deploy a fully automated stock picking strategy — without writing a […]
