Welcome to Nofinity

In this episode of the Bankless Weekly Rollup, David and Ryan discuss several key topics:

1. Stock Market Recovery: The S&P 500 hit a new all-time high after a V-shaped recovery, driven by the liquidation of a major fund (Ashen Brener) which removed forced selling pressure.

2. MicroStrategy Selling Bitcoin: Michael Saylor sold 1,638 BTC ($105M) but Bitcoin barely reacted and even rose – a sign that Saylor is no longer the main marginal pricer of Bitcoin.

3. Ethereum Staking Yield Debate: A proposal from EF researchers (including Justin Drake) suggests burning staking rewards once 50% of ETH is staked, effectively driving yields to zero. Proponents argue Ethereum overpays for security and that unlimited staking harms ETH's monetary properties. Opponents (DeFi builders, Lido, Etherfi) warn it would crush solo stakers, scare institutions, and undermine credibility. The hosts believe the proposal is dead in the water ( <5% chance) given strong industry pushback.

4. Cold Card Exploit: A vulnerability in Coldcard's random number generator allowed hackers to brute-force seed phrases, draining over $130M in BTC from offline wallets. Victims did everything right but still lost funds – raising serious questions about self-custody in the age of AI-powered attacks.

5. Other News: Uniswap launches its own token launchpad (pools), the Clarity Act's chances drop to 15%, Cloudflare introduces wallets to protect content from AI bots, Near enables staking for AI inference, and Polymarket seeks a $20B+ valuation.

Overall Market Sentiment: The hosts feel crypto is in a waiting game – meme coins dominate, DeFi growth is slow, and fundamental progress (RWA tokenization, scaling) is incremental. Until the AI trade cools, crypto may remain in the background.

The Bitcoin price has surged from $68,000 to $87,000 in just two weeks, approaching the predicted October target of $90,000. Exchange-traded funds (ETFs) are seeing strong inflows, and long-term holders have significantly reduced their selling, which is considered a bullish signal. The price has broken through the 50-week moving average, suggesting further gains, while institutional investors are increasingly using MicroStrategy to gain exposure to Bitcoin. The purchasing power of the US dollar continues to decline due to inflation.

If building your own trading bot feels overwhelming, there are professional developers who have done it for free on GitHub. This video covers my top three repositories for executing trades, along with setup and usage tips.

• Function: Free, open-source crypto trading bot in Python, supporting all major exchanges and controlled via web UI or Telegram.
• Features: Backtesting, plotting, money management, and machine learning for strategy optimization.
• Key Point: Beginner-friendly with pre-built parameters and risk settings. Also supports stocks, commodities, and FX via exchanges like Binance or Hyperliquid.
• Live Trading: Control via Telegram commands (e.g., /performance, /start, /stop). Includes built-in backtesting with historical data and a dry run feature.
• Conclusion: Perfect for those wanting a ready-to-use solution without deep programming.

• Function: Personal trading agent with self-improving features to generate and test strategies.
• Features: Answer market questions, backtest, review trades, read institutional filings, run analyst teams, and access a library of over 450 pre-built alpha factors.
• Application: Ideal as a research and strategy development tool before live trading. Can connect to Alpaca for paper trading.
• Example: Tested momentum strategies for NVDA, META, AAPL, MSFT, and AMZN, backtested with realistic fees, and set up paper trading with $100k.

• Function: AI trading terminal for stocks, commodities, forex, and crypto.
• Features: Autopilot mode, no need for personal hardware – everything runs on their servers. Provides a dashboard with liquidation maps, order books, signal matrix, and orchestration.
• Application: Create and execute strategies directly via the web interface on Hyperliquid or other exchanges.
• Advantage: Very user-friendly as the infrastructure is pre-built.

• Recommendation: Try all three repos as they serve different purposes. You can combine tools, e.g., use Vibe Trading for strategy development and Freak Trade for execution.
• Tip: Experiment with paper trading to test strategies risk-free. This is the best way to learn and improve AI trading.
• Additional Info: For setup guides and community access, check the description.

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