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NY4 · LD4 · 127ms
All systems operational · NY4 (Secaucus) · LD4 (London) · 127ms median tick-to-display Last updated 04 Nov 2024 · 14:22 UTC
2024 Backtest Library · 1,200+ user-published backtests · Quant-authored

A working library of playbooks, backtests & methodology notes — written by quants, not bloggers.

Everything you'd screenshot from a prop desk's Slack — published in full, dated, reproducible, and ready to drop into the toolkit. Read the research, then run the strategy against your own book in under 30 seconds.

No credit card · 41,000+ traders · 99.97% uptime · SOC 2 Type II since 2022
Screenshot of the StrategyLab Backtest Library showing a grid of user-published strategy backtests with equity curves, sample size and publication date.
Fig. 01 — StrategyLab · Backtest Library index, Q4 2024
  • ES5,812.25+0.42%
  • NQ20,415.75+0.71%
  • CL71.84-0.18%
  • GC2,743.10+0.09%
  • BTC68,420.0-0.31%
  • 6E1.0824+0.05%
  • AAPL224.31+0.86%
  • NVDA138.07-0.44%
Methodology · v4.2 · Updated quarterly

How we write these playbooks

Every piece in the Resources hub ships with the same four labels pinned to the top of the page: data source, sample window, reproduction steps, and the broker feed we re-ran it against. Nothing is paraphrased from a Reddit thread; nothing is paraphrased from a competitor's marketing post either. If we cannot reproduce the result on a Friday afternoon in Tallinn, we do not publish it on a Monday morning in Zug.

01 · Data

Tick-level, not screenshot

Every playbook and backtest cites its raw tick source — Interactive Brokers historical, Polygon paid tier, or our own NY4/LD4 captures. We publish the dataset fingerprint (symbol, exchange, adjustment basis) so a reader at a different broker can match it to the nearest equivalent feed before running the strategy.

02 · Window

Stated, not implied

Sample windows are written out in plain English and pinned in the page footer — start date, end date, total trades, and the regime the window spans (low-vol grind, gap-and-go, central-bank event). A 2021-only backtest on a mean-reversion strategy is a different artifact than the same strategy across 2018–2024; we do not let the chart do that work for us.

03 · Reproduction

Built inside StrategyLab

Every published backtest links to a runnable StrategyLab module — the same engine that processed 38,400 strategy variations in 2024. A reader with a free account opens the link, sees the exact parameter set, and can rerun the same test on their own book before committing capital or course material to it.

04 · Freshness

Quarterly decay check

Each playbook is re-tested against the most recent quarter the Tuesday after quarter-end. If a 2022 momentum playbook stops working in Q2 2024, the page header carries a "decay flag" with the date and the rolling Sharpe delta. We do not quietly retire the post; we annotate it.

Authored by the four founding quants and the eight-person research desk in Zug, Tallinn and Singapore. Review cadence: every page, every 90 days, every quarter member survey (n = 8,900 in Q4 2024, 4.6/5 satisfaction).

Three tracks · One library

Pick the resource track that matches your role.

1,200+ user-published backtests · 38,400 strategy variations run in 2024 · citation-grade methodology notes for fintech educators and mentor channels. Every track ladders back to the free trial — read, then run the same setup against your own book.

Track 01 · Playbook Readers

Quant-authored playbooks for active traders

Step-by-step research notes for equities, options, futures, forex and crypto — each pinned to a single Setup, a single Entry rule, and a single Exit rule, with the underlying scanner pre-loaded in the toolkit.

Published playbooks
214
Median read time
7m 40s
Asset coverage
5 classes
  • Volatility-crush plays around earnings, written against the 1.2M-contract options Greeks calculator.
  • Opening-range breakouts on ES/NQ with the colocated NY4 feed — 127ms tick-to-display.
  • Crypto basis-trade notes for the Sharia-compliance asset filter cohort (1,800+ Muslim-majority-region traders).
Open the playbook index →
Track 02 · Backtest Authors

StrategyLab Backtest Library

1,200+ member-published backtests from 2024 — sortable by asset class, sample size, Sharpe, max drawdown and the engine version they were built on. Fork any test into your own account in two clicks.

  • 38,400 strategy variations processed in 2024 across the eight StrategyLab modules.
  • Equity curves exported as CSV, PNG, or a shareable link the licensees can embed in a course module.
  • Decay flag pinned to every backtest older than two quarters.
Browse the Backtest Library →
Track 03 · Educators & Coaches

Citation-grade content for licensing

Methodology notes, scanner documentation and member-published backtests are licensed to mentor channels and fintech educators — shareable, embeddable, with attribution to OnlineTrading-Tools Research and a static DOI per playbook.

  • Combined YouTube audience of 4.7M subscribers across verified mentor accounts on the platform.
  • Static DOIs, machine-readable methodology JSON, and a citation footer ready to drop into slide decks.
  • Quarterly research briefings for licensee channels — 14,200 members surveyed per quarter.
Talk to the licensing desk →
Featured in Bloomberg — Retail Tools to Watch, Mar 2023 Traders' Journal — Best Browser-Based Trading Toolkit 2024 TradingTools Awards — Best Retail Tool 2023 Start Free — No Credit Card

StrategyLab · Public Library

Top community backtests of 2024 — sortable, cloneable, audit-grade

Every row below is a real StrategyLab submission. Click any entry to inspect the source rules, slippage assumptions, and out-of-sample window — then fork it into your own account in two clicks.

Rank Strategy Author Instrument Timeframe Trades Sharpe Max DD Clone
01 Volatility-Breakout v3 (ES) @quant_basel ES Futures 15m 2,184 1.84 -7.2% Fork →
02 IV-Crush Mean Reversion @optionslab SPY Options D1 1,427 1.71 -9.8% Fork →
03 London Open Gap Fill @forex_anna GBP/USD 5m 3,612 1.59 -5.4% Fork →
04 Earnings Drift Filter @propdelta Nasdaq 100 D1 964 1.47 -11.1% Fork →
  • Backtests in 2024 38,400 strategy variations run via StrategyLab
  • User-published 1,200+ public backtests in the shared library
  • Tick-to-display 127ms median latency · NY4 + LD4 colocation
  • Cross-checked by SOC 2 II audit renewed annually by Drata

For Educators & Coaches

A licensing track built for fintech educators and verified-mentor communities

Embed our scanners inside your curriculum, white-label the Greeks calculator for your cohort, and route every member through the Sharia-compliance asset filter — all under one compliance framework, with verified-mentor partnership tiers.

  1. 01

    Embed-grade resource pack

    Drop our 14 proprietary scanners, the 1.2M-contract options Greeks calculator, and the position-size suite directly into your LMS, Substack, or Discord — via iframe or REST. Each embed carries your channel attribution automatically.

    127ms median tick-to-display · 14 scanners · 1.2M contracts covered

  2. 02

    White-label & co-branded views

    Co-brand the risk dashboard with your channel identity, set branded invite links for your cohort, and pin a custom welcome scanner to your community's first login. Verified mentor channels with a combined YouTube audience of 4.7M subscribers already run on this tier.

    Verified-mentor tier · 4.7M combined YouTube reach · custom invite links

  3. 03

    Sharia-compliance asset filter

    The only retail toolkit with a dedicated Sharia-compliance asset filter — adopted by 1,800+ Muslim-majority-region traders since launch. License it as a standalone module or bundle it with the broader scanners for your members.

    1,800+ adopted traders · standalone or bundled · citation-grade methodology

  4. 04

    Compliance guardrails & data lineage

    Every chart, backtest, and risk alert ships with a methodology note your members can cite. SOC 2 Type II certification (annually renewed by Drata) and 99.97% uptime — audited by StatusGator across the last 24 months — keep your curriculum audit-ready.

    SOC 2 Type II · Drata · StatusGator 99.97% uptime · methodology notes

From Reading → Running

The playbook is the map. The platform is the vehicle. The vehicle is free.

You've inspected the backtests, walked the educator licensing track, and read the methodology notes. Now clone a strategy, point it at live tick data, and let the platform do the rest — no credit card, no expiry, no feature limits on the free tier.

  • 41,000+ traders
  • 99.97% uptime
  • SOC 2 Type II
  • No credit card