Research

ProBitForge Research notes.
03
Jun

ResumeGovernor: Root Cause Analysis of an Auto-Pause That Refused to Resume

一个自动恢复机制显示'允许恢复',另一个显示'继续暂停'。它们读的是同一个数据库。问题出在哪里?
阅读时间 7 分钟
02
Jun

From Files to Ledgers: How We Evolved Freqtrade's SQLite Data Layer

Freqtrade 的 SQLite 数据库里藏着所有交易真相,但没有任何 Agent 在读它。我们把'文件'变成了'账本',然后一切都变了。
阅读时间 8 分钟
19
May
Self-evolving trading research system: execution, fact ledger, semantic memory, research brains, orchestration, fast prefilter

Building a Self-Evolving Trading Research System

A safe AI trading research system should evolve by remembering failures, routing authority, and blocking unsafe work earlier—not by bypassing its gates.
阅读时间 8 分钟
13
May
Dark engineering-style risk log template with evidence rows, gate status, and blocked decision marker

A Risk Log Template for Crypto Bots

A reusable risk log template for crypto bot research: record facts, evidence, blockers, decisions, and rollback plans before a candidate reaches dry-run.
阅读时间 6 分钟
12
May
Three-layer system diagram: Fact Ledger at bottom, Memory Layer in middle, Gate at top

Building a Memory Layer for Trading Research with Qdrant

Qdrant helps ProBitForge recall similar trading research cases, but it is not a fact ledger or trading brain. Facts decide; memory reminds.
阅读时间 7 分钟
12
May
Seven gate bars representing candidate release checks, with one blocked gate in orange showing OOS validation failure

How We Judge a Strategy Candidate Before Dry Run

在 ProBitForge,一个策略候选不会因为回测好看就晋级。我们用一套硬门禁裁决:交易次数、直接归因、样本外覆盖、近期验证、权限隔离——缺一项都不许过。
阅读时间 9 分钟
08
May

Why Backtests Lie

A practical checklist for avoiding overfit crypto trading research.
阅读时间 2 分钟
07
May
ProBitForge abstract trading-system cover image with synthetic chart marks

What ProBitForge Is Building

A research-first introduction to ProBitForge: AI crypto quant systems, risk engineering, and why model output never touches live execution directly.
阅读时间 2 分钟