Open Net Worth
Open Net Worth is an open-source personal AI wealth assistant you run yourself: one ledger for your whole financial life, worked by an AI agent you control.
翻訳待ち
AI-powered market research for stocks and crypto. Charts, options, news, fundamentals, and macro, ... analysis in Siglens
翻訳待ち
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Read the chart, not the indicators. AI analysis for US stocks, Korean stocks, and crypto.
Reading a chart well takes more work than it looks. You add indicators one by one, check volume, look for patterns, skim the news, and then try to weigh all of it together. Most people stop halfway.
SIGLENS does that reading for you. It gathers price data, indicators, patterns, news, and market sentiment, and turns them into a report written in plain language. You can open a single symbol and read its analysis, or simply ask a question and get an answer.Read the full README ↗Read the chart, not the indicators. AI analysis for US stocks, Korean stocks, and crypto.
Reading a chart well takes more work than it looks. You add indicators one by one, check volume, look for patterns, skim the news, and then try to weigh all of it together. Most people stop halfway.
SIGLENS does that reading for you. It gathers price data, indicators, patterns, news, and market sentiment, and turns them into a report written in plain language. You can open a single symbol and read its analysis, or simply ask a question and get an answer.
SIGLENS never places an order. It offers analysis only, and every investment decision remains your own. You can start without an account; signing in adds a few extras described below.
Enter a ticker such as AAPL, 005930.KS, or BTCUSD. The page shows a chart with indicators, detected patterns, and an AI report that streams in as it is written. Tabs next to the chart cover news, the fear and greed index, and a combined outlook. Stocks add fundamentals and financial statements, and US stocks add the options market, congressional trading, and pre-market and after-market quotes. The AI report can be written by Claude Haiku, Sonnet or Opus 5.5, GPT-6 Luna, GPT-6 Sol or GPT-6.1 Sol, or Gemini 4 Argon.
Beyond single symbols, the site offers a watchlist, a sector signal dashboard, a market-wide fear and greed index, a news hub, a macroeconomic dashboard, and backtesting results for past AI analyses.
flowchart LR
A([Enter a ticker]) --> B[Identify the market]
B --> C[Chart and indicators]
C --> D[AI report]
D --> E[News, sentiment, and more tabs]
classDef step fill:#dbeafe,stroke:#2563eb,color:#1e3a8a
classDef start fill:#1e3a8a,stroke:#1e3a8a,color:#ffffff
class A start
class B,C,D,E step
Ask something like "How has Bitcoin been moving lately?" The AI agent decides what it needs, looks up the price, chart, existing SIGLENS analysis, and recent news, and then answers with the numbers it found. When no recent analysis exists, it runs a new one. Every step it takes is shown above the answer, along with how long it took.
Guests can ask a limited number of questions each day. Signing in removes that limit, saves your conversations, and lets the agent look at the holdings you registered.
flowchart LR
Q([Your question]) --> AG[AI agent]
subgraph LOOKUP[Looks up what it needs]
direction TB
P[Price]
CH[Chart and indicators]
N[News]
end
subgraph ANALYSIS[Finds an analysis]
direction TB
S[Saved SIGLENS analysis]
F[New analysis if none exists]
S -. not found .-> F
end
AG --> LOOKUP
AG --> ANALYSIS
LOOKUP --> R([Answer])
ANALYSIS --> R
classDef io fill:#4c1d95,stroke:#4c1d95,color:#ffffff
classDef agent fill:#ede9fe,stroke:#7c3aed,color:#4c1d95
classDef item fill:#ffffff,stroke:#94a3b8,color:#1e293b
class Q,R io
class AG agent
class P,CH,N,S,F item
style LOOKUP fill:#f1f5f9,stroke:#94a3b8,color:#1e293b
style ANALYSIS fill:#f5f3ff,stroke:#a78bfa,color:#1e293b
How accurate is it? We asked the agent and three general AI models (GPT, Gemini, Claude) the same 185 US and Korean stock questions and graded the answers against market and filing data. The results, every question, and every raw answer are on the benchmark page. The method is in BENCHMARK.md.
Signed-in members can also receive a regular email report on the symbols they follow. Guests can preview what it looks like on the sample page.
We ran the production AI analysis once per trading day over two years of daily bars (2024-11-01 to 2026-11-02) and followed the entry zones, targets, and stops it showed. The universe is eight US large caps plus SPY and QQQ, and the model is DeepSeek V4.1 Flash.
| AI strategy | SPY buy and hold | |
|---|---|---|
| 2-year return (equal split across 10 tickers) | +29.1% | +31.7% |
| Max drawdown (AI on closed trades, SPY on daily closes) | −9.3% | −19.0% |
| Trades / win rate | 690 / 57.4% | — |
Commissions and slippage are not included, and past results do not guarantee future performance. The strategy, per-ticker results, and limitations are in the backtest results.
trades.csv, decisions.csv, summary.jsonEach symbol belongs to one market, and the market decides the currency, trading hours, available timeframes, and which tabs appear.
This is the beginning of the README. Read the rest at the original. Read the full README ↗