According to @w_thejazz, most retail trading bots fail because users either set it and forget it or panic and constantly interfere, which undermines systematic execution and consistency. Source: @w_thejazz on X, Dec 9, 2025. He states that a professional setup combining quantitative logic with strict human discipline is his approach and the reason outcomes differ from typical retail results, indicating traders should pair rule-based strategies with measured oversight rather than emotional tinkering. Source: @w_thejazz on X, Dec 9, 2025.

According to @QCompounding, Joel Greenblatt avoided trend-chasing and market timing, instead running the same formula year after year that outperformed 99% of professionals, source: @QCompounding on X, Dec 8, 2025. For trading application, this points to using a simple, repeatable, rules-based checklist with fixed rebalancing rather than discretionary calls, source: @QCompounding on X, Dec 8, 2025. In crypto markets such as BTC and ETH, the same principle favors systematic entry and exit rules over headline-driven timing during volatility, source: @QCompounding on X, Dec 8, 2025.

According to @CryptoMichNL, altcoin-focused portfolios have fallen sharply in recent weeks, highlighting the risk of remaining fully allocated to altcoins during drawdowns. Source: https://twitter.com/CryptoMichNL/status/1985377614484140510 He states that MNFund_ uses a high-frequency trading approach instead of staying fully invested, and that the strategy benefits as market volatility rises. Source: https://twitter.com/CryptoMichNL/status/1985377614484140510 He reports the last month delivered strong results for the fund and that current elevated volatility is creating mispricing opportunities across the market. Source: https://twitter.com/CryptoMichNL/status/1985377614484140510