analytics

A tool for examining trading results by source, platform, category, strategy, time, edge size, and liquidity. Performance attribution means breaking overall profit or loss into the factors that contributed to it.

In plain words
What is it for?
Use it to review daily, weekly, or monthly results, compare profit and loss across dimensions, study hourly or daily patterns, and inspect how trading advantages change over time.
Why use it?
It helps replace a single overall result with more specific views of where performance came from and when strategies worked best or worst.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/alsk1992/cloddsbot/analytics
Any agent
npx skills add alsk1992/CloddsBot --skill analytics
Clone the repo
git clone --depth 1 https://github.com/alsk1992/CloddsBot

Made for: Claude Code, Codex.

Per session 11 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,554 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What 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.

ModelPer sessionOnce invoked
Fable 5 $0.00011 $0.01554
Opus 5 $0.00005 $0.00777
Sonnet 5 $0.00002 $0.00311
Haiku 4.5 $0.00001 $0.00155

Measured 3d ago against content hash 16e6b211562b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

analytics 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 3d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (index.ts), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

src/skills/bundled/analytics/SKILL.md · 253 lines

How it starts

The opening of the file, as written. The whole thing — 253 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Analytics - Complete API Reference

Analyze trading performance with attribution by edge source, time-of-day analysis, and optimization insights.


Chat Commands

Performance Overview

/analytics                          Performance summary
/analytics today                    Today's performance
/analytics week                     Weekly breakdown
/analytics month                    Monthly breakdown

Attribution

/analytics attribution              P&L by edge source
/analytics by-platform              P&L by platform
/analytics by-category              P&L by market category
/analytics by-strategy              P&L by strategy

Time Analysis

/analytics best-times               Best trading hours
/analytics by-hour                  Hourly performance
/analytics by-day                   Day of week analysis

Edge Analysis

/analytics edge-decay               How edge decays over time
/analytics edge-buckets             Performance by edge size
/analytics liquidity                Performance by liquidity

TypeScript API Reference

Create Analytics Service

import { createAnalyticsService } from 'clodds/analytics';

const analytics = createAnalyticsService({
  // Data source
  tradesDb: './trades.db',

  // Time zone
  timezone: 'America/New_York',
});

Performance Summary

const summary = await analytics.getSummary({
  period: 'month',
  // or: from: '2024-01-01', to: '2024-01-31'
});

console.log('=== Performance ===');
console.log(`Total P&L: $${summary.totalPnl}`);
console.log(`Win Rate: ${summary.winRate}%`);
console.log(`Profit Factor: ${summary.profitFactor}`);
console.log(`Sharpe Ratio: ${summary.sharpeRatio}`);
console.log(`Total Trades: ${summary.totalTrades}`);
console.log(`Avg Trade: $${summary.avgTrade}`);
console.log(`Best Trade: $${summary.bestTrade}`);
console.log(`Worst Trade: $${summary.worstTrade}`);

Attribution by Edge Source

const attribution = await analytics.getAttribution('edgeSource');

for (const source of attribution) {
  console.log(`${source.name}:`);
  console.log(`  P&L: $${source.pnl}`);
  console.log(`  Trades: ${source.trades}`);
  console.log(`  Win Rate: ${source.winRate}%`);
  console.log(`  Contribution: ${source.contribution}%`);
}

// Example sources:
// - price_lag (stale prices)
// - liquidity_gap (thin orderbooks)
// - information (news/events)
// - model_edge (external models)
// - combinatorial (arbitrage)

Read the full file on GitHub · 253 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 3d ago First seen · 253 lines · 11 tokens per session scan A 16e6b211562b

Subscribe to this mod's changes

analytics is a skill published in the GitHub repository alsk1992/CloddsBot (821 stars, last pushed 3d ago), licensed MIT. It adds 11 tokens to every session and 1,554 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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