Complete quantitative strategy proxy chain configuration: DMIT VPS + IPRoyal residential IP + Claude monitoring

Quant Proxy Chain: DMIT + IPRoyal + Claude Running Binance quant strategies is always at risk of “IP getting blocked”—suddenly your futures API returns 451 Unavailable. Cloud providers like AWS/GCP have their IP ranges blacklisted by most exchanges, and data center IPs get rate-limited pretty regularly. Here’s the stable proxy chain I built: DMIT Hong Kong VPS as a stable relay + IPRoyal residential IP as the final exit + Claude for monitoring and failover. ...

2026-04-19 · 5 min · 946 words · Panshi

Send Pionex live trading logs to GPT: AI reveals patterns humans miss

⚠️ KYC Requirements: Pionex doesn’t support mainland Chinese identity cards through KYC verification. You’ll need a valid ID from Taiwan, Singapore, Malaysia, the US, or other supported regions. See Pionex Restricted Regions. Disclaimer: The data patterns and analysis conclusions below are based on a typical grid bot trading log sample (not real data from any specific account). This demonstrates the types of insights you’ll get when using AI to analyze quant logs, helping you understand: what’s worth analyzing with AI, and what kind of actionable conclusions you can expect. ...

2026-04-19 · 6 min · 1141 words · Panshi

Claude Code long session stuck at dimension limit? Bug caused by accumulated screenshots bursting the API, and a rescue solution set.

How to Rescue Claude Code Sessions Stuck on Image Dimension Limits Recently I hit a confusing error in Claude Code: An image in the conversation exceeds the dimension limit for many-image requests (2000px). Start a new session with fewer images. The screenshot I’d just pasted was completely normal—just 100×200 pixels. By intuition, this should mean “the last image is oversized,” but it wasn’t. This is a cumulative bug with counterintuitive trigger conditions, root causes, and fixes. Once you hit it, you keep hitting it. This post explains the rules, the mechanics, and ready-to-use tooling to fix it. ...

2026-04-19 · 7 min · 1362 words · Panshi

Why do AI tools need residential IPs? Principles and practice

When accessing Claude or ChatGPT through proxy nodes, you might run into these issues: CAPTCHA prompts repeatedly on login Your account flagged for “unusual activity” Certain features silently restricted API calls are unstable, occasionally returning 403 The root cause of these problems usually isn’t the proxy protocol itself, but rather the quality of the exit IP. IP Quality Categories Internet IP addresses fall into roughly three categories, each with different “trust levels”: ...

2026-04-15 · 4 min · 698 words · Panshi

Claude Code dual-channel switching guide: official channel vs Copilot Pro+ cost-saving option

Claude Code got a quiet but important update in 2025: you can now plug in GitHub Copilot Pro+ as a backend. This means you can run Claude Code on a $19/month Copilot Pro+ subscription instead of paying separately for $20/month Claude Pro. But the two channels have stark differences—if you don’t understand them, you’ll hit gotchas. This article breaks down the key distinctions, plus the alias setup I’m using to make switching a one-command operation. ...

2026-04-15 · 4 min · 806 words · Panshi

Claude Sonnet vs Opus: How to choose a model without wasting money

Anthropic’s current flagship models are Opus 4.6 (most powerful), Sonnet 4.6 (balanced), and Haiku 4.5 (fastest and cheapest). Many people use Claude for everything with Opus, resulting in API bills 3–5× higher. This article explains from a practical usage perspective: when to use Opus, when to use Sonnet, and when Haiku is worth considering. Pricing Comparison (April 2026) Model Input Price Output Price Relative Cost claude-haiku-4-5 $0.80/M tokens $4/M tokens 1× claude-sonnet-4-6 $3/M tokens $15/M tokens ~4× claude-opus-4-6 $15/M tokens $75/M tokens ~19× Opus costs nearly 20× more than Haiku. For the same task, using Opus when Sonnet can handle it is pure waste. ...

2026-04-10 · 4 min · 743 words · Panshi

OpenClaw + GitHub Copilot + Claude Opus 4.6 parameter tuning log

Running OpenClaw with default config will hit two problems after a while: quota burns too fast and long sessions crash from timeouts. This post logs 8 parameters I actually tuned, and the reasoning behind each. Architecture First Here’s my setup: GitHub Copilot Pro+: $19/month, 1500 premium requests/month quota Claude Opus 4.6: accessed via Copilot’s model routing, model ID github-copilot/claude-opus-4.6 OpenClaw: handles Telegram interactions, Skill calls, scheduled tasks Quota math: each AI assistant reply = 1 premium request (including replies after tool calls). 1500 sounds like plenty, but without optimization it dries up fast. ...

2026-04-08 · 5 min · 940 words · Panshi

Writing quantitative strategies with Claude: The complete process from zero to signal delivery

Writing Quant Strategies with Claude Building quant strategies has a high barrier to entry: you need to understand trading logic and write code. Claude cuts that barrier in half — you just need to know the trading logic, and it handles the code part. This article documents my process of building a complete quantitative signal system from scratch with Claude. ...

2026-04-08 · 4 min · 677 words · Panshi

Claude API cost-saving guide: controlling usage from hundreds down to tens of dollars per month

Claude API costs can easily spiral out of control—stronger models cost more per call, and longer context costs more. This post shares my approach to cost control. Claude Model Pricing Comparison (2026) Model Input $/MTok Output $/MTok Use case claude-opus-4-6 $15 $75 Complex reasoning, code generation claude-sonnet-4-6 $3 $15 General tasks, writing claude-haiku-4-5 $0.8 $4 Simple classification, summarization MTok = million tokens. 1 token ≈ 0.75 English words ≈ 0.5 Chinese characters. ...

2026-04-05 · 3 min · 587 words · Panshi

Claude Code in Real Use: How I Manage 9 Servers with AI

I’ve been using Claude Code—Anthropic’s CLI tool—to manage my fleet of servers since last year, and it’s genuinely changed how I work with infrastructure. This is what AI should be doing: not chatting, but actually getting things done. My setup 9 overseas VPS instances (AWS / DMIT / Tencent Cloud), distributed across the US, Hong Kong, Japan, and Singapore, running: Proxy nodes (Xray + Hysteria2) Quantitative trading strategies Monitoring stack (Prometheus + Grafana) Various automation scripts I used to SSH into each machine manually. Now I just tell Claude Code “update the Xray config on the Japan machine,” and it handles the SSH connection, modifies the config, restarts the service, and verifies it’s working. ...

2026-04-05 · 4 min · 689 words · Panshi