PRIVATE BETA · JUNE 2026

Institutional-grade
backtesting
in minutes.

Backtest like a hedge fund — with the rigour of professional investors, without the overhead.

AI-enabled

Describe your strategy in natural language, via the UI, or in code.

Get AI-assisted analysis grounded in professional investment workflows.

Understand key drivers, strengths, weaknesses, and risks.

Integrations
Install
$ py -m pip install backtest360
Get Instant API Access

Built by professionals from hedge funds, quantitative research, and AI.

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200+ early signups
DASHBOARD⚙ SETTINGSMARKET DATATICKERPERIOD2019–2026TIMEFRAMEDailyCAPITAL$100,000BENCHMARKS&P 500COMMISSION0.10%STRATEGYTYPEFAST MA50SLOW MA200STOP LOSS5%TAKE PROFRISKPOSITION2% equityMAX HOLD30 daysUNIVERSEUS EquitiesSLIPPAGE0.05%ENGINEBACKTEST ENGINE READY▶ RUNCONFIGURE INPUTS → RUNIN-SAMPLEOUT-OF-SAMPLE+$4,820+$3,140-$2,180◀▶75% / 25%+$6,220 ▶1M3M1Y3YALL$160K$140K$120K$100K$80K$60K20192020202120222023202420252026Strategy (SMA 50/200)Benchmark (S&P 500)RUNNING BACKTEST... 0%BACKTEST COMPLETE100% · 23msRESULTSS&P 500 · SMA 50/200 · (2019 - 2026)Trades87Win Rate58%Expectancy55bpsAvg Win$2,840CAGR14.2%Vol12.3%Sharpe1.42Sortino2.01Max DD−18.4%Shortfall−6.2%

Representative output and interface shown. Actual screens vary by strategy, asset class, and configuration.

CONSOLE
Replay

Representative output and interface shown. Actual screens vary by strategy, asset class, and configuration.

Built-in Rigour
point-in-time datatransaction costs & slippageout-of-sample testingno look-ahead bias
WHY BACKTEST360

Institutional tools. No institutional complexity.

01
Professional research standards. Accessible to everyone.
Our in-house engine enforces no look-ahead bias on every run and guides you through out-of-sample testing. Coding optional.
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02
Simple or complicated strategies.
Easily define and build entry and exit logic from indicators, transforms and condition trees — no code needed.
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03
Wide coverage.
A 250+ indicator library, 100,000+ securities, and 120+ performance metrics on every run.
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04
From backtest to live signal.
Keep and monitor every strategy with an archive of results. Generate today's trading signal and assess out-of-sample performance rigorously.
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05
AI-enabled.
Strategy definition in natural language, full backtest review, configuration advice, and performance metrics explanation and interpretation.
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WHAT YOU GET

The complete research stack

From hypothesis to live signal — in one engine.

Results you can trust
Every output is auditable — no numbers you have to second-guess.
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🔒
Leak-proof by design
Universal Lag-1 Look-Ahead Rule enforced engine-wide. Overfitting protection built in, not bolted on.
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📊
120+ metrics
Sharpe, Sortino, Calmar, VaR, ES, Kelly, drawdowns, trade stats, capture ratios — 11 categories, every run.
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🧩
No-code strategy composer
AND / OR / NOT / XOR condition trees over a registered indicator catalogue. Zero Python required.
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📚
Growing indicator library
TA-Lib classics, regime variants, OHLCV primitives. Ship your own with a single Python class.
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⏱️
9 timeframes · 18 combos
From 1-minute scalps to monthly rebalances. Backtest at one frequency, execute at another.
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⚙️
Realistic execution model
80 anchor × fill × window variants, fixed or vol-scaled slippage, fees computed in log-space.
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🛡️
Five stops · four sizing
Fixed, trailing, ATR, trailing-ATR stops. Full, percent-of-capital, vol-targeting, fractional Kelly.
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📡
Bring your own data
Tiingo, EODHD, Massive, Yahoo, IB, Binance, Deribit — or upload any Excel / CSV file.
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🔌
API-first · multi-tenant
Per-key scopes, per-key quotas, audit log, dual-key rotation. Built for teams and resellers.
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LAUNCHING SOON

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200+ on the waitlist