Trend & directional
Rules that seek continuation of an established move or a break into a new directional move.
36.3% of classified recordsPrismatic Research / The Trading Algo Compendium
A clearer map of algorithmic trading.
The Trading Algo Compendium is Prismatic Algos’ research index of trading ideas, utilities and portfolio tools. Explore the families, examine the evidence and take the questions further.
A research starting point
Find the idea.
Understand the missing pieces.
For curious traders
Learn how approaches differ before comparing claims about returns. Follow the research into rules, sizing and evidence.
For researchers
Use dated aggregate data and documented methods to ask better questions about the collection.
For AI-assisted research
Read the same information in HTML, Markdown, JSON or CSV, with stable links, source dates and explicit denominators.
The family index
Different ideas. Different questions.
These descriptions introduce twelve indexed categories. They explain the labels; they do not certify how every record behaves.
Mean reversion & counter-trend
Rules that look for a stretched price or relationship to move back toward a reference.
27.2% of classified recordsTrade & execution management
Tools that manage orders, entries, exits or execution rather than necessarily defining a complete trading system.
12.9% of classified recordsPrice action & structure
Rules based on price patterns, levels or market structure.
9.1% of classified recordsRisk & portfolio overlays
Tools that manage allocation or combined exposure rather than necessarily generating entry signals.
3.5% of classified recordsGrid, martingale & averaging
Approaches that layer entries or alter sizing across price levels or losses. These mechanisms require explicit exposure analysis.
2.6% of classified recordsStatistical, quantitative & ML
Ideas using statistical relationships, quantitative models or machine-learning methods.
2.4% of classified recordsConfluence & multi-timeframe
Ideas combining signals or conditions from multiple indicators or timeframes.
1.9% of classified recordsTime, session & seasonality
Ideas organized around trading sessions, calendar effects or recurring time windows.
1.7% of classified recordsScalping & short-horizon
Ideas focused on short opportunities. A category label alone does not establish actual holding time or execution costs.
1.2% of classified recordsVolatility-based
Rules that use changes in volatility or volatility conditions in their decisions.
1.1% of classified recordsCarry, swap & fundamental
Ideas involving interest, swap, carry or fundamental relationships.
0.1% of classified recordsPercentages describe the dated classified subset below. Unlabeled records are excluded from this distribution.
Published research data / September 21, 2026 snapshot
See the collection through the data.
The family distribution uses 2,904 classified records, excluding 678 unlabeled records. Field coverage uses all 3,582 records in this export. These figures describe this research snapshot, not a current inventory total.
Percentages of classified records only. Labels as indexed; see the article methodology for scope.
Text presence after placeholder filtering, or a metadata flag. Presence does not establish accuracy, completeness or performance.
The collection includes versions, utilities and portfolio overlays. Labels are retained as indexed. A targeted review of eight captured source documents found classification and extraction issues; it cannot estimate the overall error rate. No algorithms were traded or backtested for this analysis.
For readers, researchers & AI tools
Useful data. A traceable source.
Public aggregate downloads require no account. Every format below describes the same dated research release.
Catalog metadata & taxonomy · JSON ↗Compendium overview · Markdown ↗Family counts & percentages · CSV ↓Field coverage · CSV ↓Aggregate source summary · JSON ↗Method & limitations ↗Reproduction script · Python ↓
How to read the data
| Field | Meaning |
|---|---|
| families[].count | Records carrying that indexed family label. |
| families[].pct | Percentage of 2,904 classified records; rounded to one decimal. |
| coverage[].pct | Percentage of all 3,582 records with qualifying field text or a code-capture flag. |
| snapshot / version | The export date and the version of this public aggregate release. |
Cite this research
Prismatic Research (2026). Trading Algo Compendium: family distribution and field coverage. September 21, 2026 snapshot; classified-view revision. https://prismaticalgos.com/compendium#snapshot
Version: catalog-2026-09-21-classified-v1. Export generated September 21, 2026 at 15:09 UTC; retrieved September 23. The full source collection and portfolio constituent identities are not exposed in these downloads. Ask about additional research access or reuse permissions.
Common questions
Is the Compendium a list of profitable trading robots?
No. It is a research index of algorithmic ideas and tools. Indexing, categorization and recorded field text do not establish profitability or independent validation.
Can an AI agent access the research without running JavaScript?
Yes. This page’s research content is included in its HTML. The linked JSON, CSV and Markdown files can also be read directly without signing in.
Is there an API for the complete database?
This release provides static public aggregate files. It does not provide a full-record query API or disclose proprietary portfolio constituents.
How do I choose an approach to investigate?
Start with the mechanism, exposure, operating pace and evidence. The five-minute Algo Matchmaker helps you articulate your preferences and choose your next research questions.
Let’s talk
Turn your research into a conversation.
Tell us about your goals and the approaches you’d like to explore together.