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开发系统最极致高效的Agents.md，没有之一： # AGENTS.md ## Core Principles - Choose the simplest implementation that fully satisfies the current requirements. Avoid unnecessary abstraction, configuration, indirection, or speculative extensibility. - Make the smallest necessary change that fixes the root cause. Do not refactor unrelated modules or change strategy semantics unless explicitly requested. - Grow the system in layers. Start from the smallest working end-to-end version and add new capabilities incrementally. Never replace a working system with unfinished complexity. - Reuse existing project components before creating new ones. Prefer extending proven modules over introducing parallel implementations. - Prefer well-maintained libraries when they reduce overall complexity or improve reliability. Do not reimplement common functionality without a clear benefit. - Keep components modular with clearly defined responsibilities. Avoid unnecessary coupling between strategy logic, execution, accounting, replay, and infrastructure. - Design for long-term maintainability once a feature or strategy has been validated. Do not over-engineer speculative ideas before evidence exists. --- ## Strategy Development - Validate hypotheses with historical replay before introducing forward-only logic whenever historical validation is possible. - Every trading strategy must progress through Replay → Shadow → Canary → Live. Do not skip validation stages. - Base design decisions on measurable evidence rather than intuition. Optimize only after demonstrating that an edge exists. - Treat every strategy as an independent contract. Do not silently alter frozen behavior without explicit authorization. --- ## Existing Systems - Do not break running Shadow or Live systems for unrelated work. - Preserve compatibility only when required by active production or validation workflows. Otherwise, remove obsolete code instead of accumulating compatibility layers. - Reuse existing infrastructure whenever possible, including replay engines, accounting, execution, wallet management, order book handling, logging, monitoring, and daemon frameworks. --- ## Engineering Standards - Prefer deterministic behavior over hidden automation. - Fail loudly when assumptions are violated. Do not silently ignore errors or fall back to unexpected behavior. - Keep configuration minimal. Introduce new configuration only when behavior genuinely needs to vary. - Remove dead code instead of leaving unused paths behind. - Write code that is easy to inspect, replay, test, and reason about. - Keep implementation consistent with existing project architecture unless an architectural change is explicitly requested. --- ## Scope Discipline - Implement only the requested scope. - Do not introduce unrelated optimizations, redesigns, migrations, or feature expansions. - Non-blocking findings outside the requested scope may be noted separately but must not be merged into the current task. - Consider a task complete once its agreed acceptance criteria are satisfied. Treat subsequent improvements as separate work items.

Yo HK 👀🇭🇰 This Saturday at Soho House: FREE hands-on workshop “From Prompt to P&L – AI Trading in Practice.” by @tqx_trade Build your own AI trading strategy live using the same tech behind our upcoming Global AI Trading Championship. Join @StarchildOnX and @mota_ai_lab for a afternoon workshop and newtorking session.

Every Trading Strategy Explained in 6 Minutes 0:00 - Fibonacci Retracements 0:27 - Chart Patterns 1:01 - Elliot Wave 1:51 - FVG 3:06 - Support & Resistance 5:01 - Volume 5:22 - Supply and Demand 5:50 - Break of Structure 5:58 - Change of Character

You are still scanning charts one by one. Claude did it in just 14 seconds. No clicking. No switching tabs. No manual work. One prompt was enough: "Find every BTC futures contract with RSI below 30 and volume above 200%." Claude instantly: → Found 6 matching BTC futures contracts → Opened all charts side by side → Drew key support levels automatically → Started Pine Script backtests → Marked entry zones in green Then came the replay test. Replay the last 7 days and show every valid entry based on my strategy. Claude switched modes automatically. Scanned every candle. Marked 9 historical entries. Backtest result: → $4,780 profit → 83% accuracy Backtest only. Not live trading. Next test: Build a momentum oscillator that tracks whale activity against price direction. 40 seconds later... The custom indicator was built and added to the chart. Most traders spend hours doing this manually. Claude does it in about 90 seconds. It scans hundreds of contracts. Draws support and resistance. Runs backtests. Marks entry zones. Your trading strategy doesn't change. The execution becomes almost instant. Want the complete setup? 1. Comment BTC 2. Like & repost this 3. Follow me @codewithimanshu so I can DM you the full guide. Save this post and automate your chart analysis.

Want to win $3,000?  Automate a trading strategy today and watch it run for 7 days without you.    That's Agent Trading Season 1.    Build an autonomous BTC/ETH perpetual trading agent on CREAO, connect it to a CEX demo account, freeze it at enrollment, and let it execute on its own strategy for a full week.    No manual trading. No touching it mid-run. Just your logic, running live.    $10,000 in prizes. Top spot takes $3,000.  Here's the full schedule: → Enrollment opens May 25 → Run starts May 28 → Audit Jun 4 → Results Jun 6 1,000 participant cap. So don't miss it.    →