From Paper Trading to Real Money: One Month of Consistent Profits and the Big Question TL;DR A Reddit trader shared their journey of testing a self-coded trading bot on Interactive Brokers’ paper trading platform for one month, achieving consistent profits. The post sparked a heated debate in r/algotrading with 119 comments discussing whether paper trading success translates to live trading, the psychological barriers of going live, and the technical differences between simulated and real market conditions. The consensus? Paper trading is a necessary first step, but it’s far from the whole story. Real trading introduces slippage, liquidity issues, and emotional challenges that no simulation can replicate. ...

Bitcoin Treasury Meltdown: Did February’s $10B Crash Break Corporate BTC Strategy? TL;DR February 2026’s crypto crash torched over $10 billion from corporate Bitcoin treasuries, triggering fresh debate about whether stacking BTC on company balance sheets is genius or reckless. The Reddit crypto community dissected the damage across 37 comments, questioning if MicroStrategy-style treasury plays still make sense when volatility can wipe billions overnight. While the “Bitcoin standard” narrative dominated 2024-2025, this crash exposes the brutal downside: unrealized losses, shareholder panic, and balance sheet carnage that traditional CFOs warned about all along. The core question isn’t whether Bitcoin is viable long-term—it’s whether corporations can stomach the ride without destroying stakeholder confidence. ...

Why Your Profitable Backtest Will Probably Fail Live (And How to Not Lose Money Finding Out) TL;DR Building a profitable algo trading strategy isn’t a weekend project—it’s a months-to-years commitment where the real learning happens in what doesn’t work. Recent Reddit discussions reveal that traders typically spend 500-2000 hours before going live, and even then, expect your live Sharpe ratio to drop by 50% compared to backtests. The main culprits? Slippage, fill behavior, look-ahead bias, and the dangerous illusion that one month of paper trading proves anything. If you’ve got a strategy showing 10x returns in 30 days, you’ve either discovered the holy grail or—far more likely—you’re about to learn an expensive lesson about overfitting. ...

From Markdown to Market Disruption: How Publishing APIs Are Reshaping Developer Workflows TL;DR Markdown publishing APIs have evolved from simple convenience tools into strategic infrastructure that’s literally moving markets. JotBird’s new CLI converts Markdown to shareable URLs in one command, while Claude Code’s ecosystem has expanded to V3 with IDE-level intelligence and 25+ MCP servers. Most surprisingly, Anthropic’s release of open-source prompt-based plugins triggered a $285 billion selloff across legal and financial software companies—proving that structured Markdown workflows aren’t just productivity hacks, they’re competitive threats to established industries. ...

Coinbase Just Gave AI Agents Their Own Crypto Wallets—Should We Be Excited or Terrified? TL;DR Coinbase has launched specialized crypto wallets designed for AI agents to autonomously manage and transact digital assets across blockchains. The crypto community is split: enthusiasts see this as the dawn of intelligent DeFi automation that goes far beyond simple trading bots, while skeptics raise serious questions about security exploits, liability, and regulatory gaps. With 1,890 upvotes on r/cryptocurrency and heated debates across DeFi forums, this isn’t just another product launch—it’s a glimpse into a future where autonomous AI handles your money. The question is whether we’re ready for it. ...