everything i wish i knew when i got started trading

The speaker is approaching five years in automated trading and wants to share everything they wish they knew when starting, offering a free roadmap and GitHub access to their AI agents. A key initial insight is the importance of watching liquidations, especially in crypto. The speaker now monitors and stores liquidation data, believing that understanding competitors' positions is crucial for better trading. The journey to becoming an automated trader begins with learning to code. While modern tools like "clog code" make it easier, the speaker still recommends learning to code, offering instruction in a free video accessible through the roadmap. After coding, the next step is building a trading bot. The speaker asserts that this industry is often gatekept by Wall Street, who do not want individuals to know they can develop, test, and implement their own trading ideas into bots. The provided roadmap also guides users on building bots and finding strategies. A central theme is the necessity of a reliable system. The speaker created a Notion-based, ever-growing system, akin to a living book, which they wish they had from the start. This system is designed to be followed for decades, inspired by figures like Jim Simons, who built a $31 billion net worth through systematic trading. The process of automating trading fundamentally starts with researching trading strategies. The speaker emphasizes that no one can simply provide a bot that guarantees millions overnight, as such an advantage would quickly dissipate. The core idea is to generate unique trading ideas, which the speaker believes is key, even though many ideas share similarities. The system involves a cycle of research, backtesting, and implementation into a bot. The speaker admits to a past mistake of running a bot without backtesting, which highlights the importance of this step. Research is presented as a continuous and vital component for any algorithmic trader, involving finding new ideas, improving existing systems, and adding to them. The Notion system allows for continuous additions, including code templates for backtesting. With AI, users can leverage these templates by prompting AI to code backtests for specific strategies, effectively utilizing the speaker's years of work. The speaker believes that code is a great equalizer and shares everything that Wall Street typically keeps secret. Coming from outside Wall Street, the speaker's motivation for automated trading was to overcome emotional trading, such as removing stop losses and altering take profits due to leverage. The speaker aims to uncover these trading "secrets" and share them live on YouTube and through the Notion sheet. The Notion system contains all the speaker's trading ideas, gathered from books, podcasts, research, and personal trading experience over five years. This allows new traders to start with the equivalent of five years of "pseudo-experience" by accessing these notes and guides. The goal is to empower others to accelerate their progress beyond what the speaker achieved. The roadmap also includes a curated book list, emphasizing "mind books" due to the challenging nature of trading. The speaker cautions against the misconception that a bot can be simply "plug and played" for instant millions, stressing that trading is a vicious, hard, and competitive game, despite its potential for immense rewards. Frequently asked questions are addressed, such as where to learn coding for algo trading. The speaker notes that while Python coding can be learned easily on YouTube, no one will directly teach profitable algo trading. Instead, it requires serious, ongoing commitment rather than a quick fix. Regarding initial strategies, the speaker reiterates that no one will simply give away a profitable bot, hence the focus on providing a system (the RBI system) to find strategies. To access the free roadmap, users can find a link in the description to algoradecamp.com. By entering their name and email, they receive the roadmap and access to a Discord community, without needing to join the associated boot camp. The speaker encourages users to leverage this tool to compress years of learning into a few months. The GitHub with AI agents is also freely available by starring and forking the repository.