Claude Opus 4.1, released on August 5, 2025, marks an important step forward in Anthropic’s large language model (LLM) lineup. While it isn’t designed to be a trading bot or financial advisor, it can serve as a powerful copilot for traders, quants, and analysts who want help with research, strategy coding, and workflow automation. This […]
Trading the financial markets has always been about balancing risk and reward. Many traders today turn to automation to cut out human error, speed up execution, and stick to disciplined rules. One such experiment was recently run under the Quant Tekel approach, where a bot originally built for cryptocurrency trading was tested on the EUR/JPY
Have you ever wondered what happens when a trading bot is let loose on Bitcoin? At Seacrest Funded, traders often experiment with automated strategies to maximize their funded account potential. One such strategy, built on moving averages, was recently tested on the BTC/USD pair. The results? A 61% win rate, 47% profit, and a 13.36%
Day trading and investing can be tricky. Many traders chase profits but overlook risk. The EMA Crossover Strategy, when paired with prop firms like the 5ers, offers a way to balance both. This method combines proven trend-following signals with strong risk management, helping traders aim for smart trends and safer trades. As part of the
Generative AI is changing the way traders look at markets. Unlike older algorithms that only crunch numbers, AI tools like ChatGPT can create insights, summarize news, and even write trading code. Even if you’re a beginner, you can use AI to make trading easier and more systematic. In this post, I’ll walk you through a
In real trading, especially in prop firm futures challenges, such a drawdown is unacceptable. It means not only losing all your starting capital but also owing more. No prop firm or serious trader would allow that level of risk. So the big question is: Can we keep the high profits while removing the massive risks?
Algo trading can feel intimidating when you’re just starting out. Writing Pine Script, debugging errors, and connecting everything to your broker can seem like a mountain to climb. The good news is that with tools like GPT-5 and platforms such as TradingView, the whole process has become a lot easier. You don’t need to be
Trading strategies often look amazing in backtests. They promise massive profits. But what happens when you take a strategy designed for one market and apply it to another — like moving from Forex into crypto? In this article, we explore how the PMAX strategy performed when tested on Bitcoin (BTCUSD) daily charts. The results were
TradingView has introduced a significant enhancement to its platform: Heikin Ashi charts are now fully supported within Bar Replay. This update provides traders with a powerful tool to refine strategies and analyze historical market data with greater precision. Overview of the Update Heikin Ashi, derived from the Japanese term for “average bar,” utilizes averaged price
A trading strategy is a rule-based system for making buy and sell decisions. The PMAX strategy focuses on spotting trends while filtering out market “noise.” For Instant Funding prop firm traders, this type of structured approach is crucial—it keeps emotions out of decision-making and focuses on consistent execution. What is Backtesting in an Instant Funding
