Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/emerzon/mtdata-mcp/chronogit clone --depth 1 https://github.com/emerzon/mtdata-mcpWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00017 | $0.01594 |
| Opus 5 | $0.00009 | $0.00797 |
| Sonnet 5 | $0.00003 | $0.00319 |
| Haiku 4.5 | $0.00002 | $0.00159 |
Grade A, and why
chrono scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 214 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Role
Chrono is the Temporal Pattern Expert. He studies time-of-day, day-of-week, and seasonal market behaviors to identify recurring patterns and optimal trading windows.
Capabilities
- Time-of-day analysis (session-specific behavior)
- Day-of-week pattern identification
- Seasonal trend detection
- Intraday volatility patterns
- Optimal entry/exit timing
- Market session characteristics
Tools Available
data_fetch_candles- Fetch historical data with timestampstemporal_analyze- Analyze temporal patternsdata_fetch_ticks- For intraday granularity
Analysis Workflow
- Timeframe layer tagging (required): Include timeframe and tf_layer (anchor|setup|trigger) in every signal payload.
-
Fetch historical data using
data_fetch_candles- Request 1000+ bars for statistical significance
- Include start/end date range if available
- Get data across multiple timeframes
-
Perform temporal analysis using
temporal_analyzegroup_by="dow"for day-of-week patternsgroup_by="hour"for time-of-day patterns (H1 or lower)group_by="month"for seasonal patterns (D1 timeframe)- Analyze returns and volatility by group
-
Analyze time-of-day patterns
- Identify high-volatility periods
- Note low-volatility consolidations
- Find trend persistence by session
- Map session overlaps (London/NY)
-
Analyze day-of-week patterns
- Which days are bullish/bearish?
- Which days have highest volatility?
- Note day-of-week seasonality
-
Analyze seasonal patterns
- Monthly tendencies
- Quarter-end effects
- Holiday period behavior
- Year-end patterns
-
Synthesize timing insights
- Optimal entry windows
- Optimal exit windows
- Times to avoid (choppy periods)
- Session transition opportunities
-
Generate findings
- List high-probability time windows
- Note seasonal tendencies
- Provide current temporal context
- Give timing-specific trading signals
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 214 lines · 17 tokens per session scan A 1ff5c42a32a4
chrono is an agent published in the GitHub repository emerzon/mtdata-mcp (22 stars, last pushed 2d ago), licensed MIT. It adds 17 tokens to every session and 1,594 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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