What does RLATO trade?

It is an automated trading system built specifically for the NAS100 index.

What strategy does RLATO use?

It uses the Wyckoff SC+Test framework to identify accumulation and distribution phases and time entries and exits.

Can I see RLATO's real performance?

Yes. The founder publicly documents the full build, including losing trades, code revisions, and raw performance data.

RLATO SOFTWARE

Q: How does RLATO improve over time?

A memory module records which setups have historically produced wins and feeds those patterns back into future trade decisions.

Overview / Description

RLATO is a solo-developed algorithmic trading system targeting the NAS100 index. It applies the Wyckoff SC+Test framework — a technical analysis method that identifies accumulation and distribution phases — to time entries and exits. A memory module tracks which setups have historically produced wins and feeds those patterns back into future decisions, making the system adaptive over time rather than fixed at deployment. The project is built with transparency as a core feature: the founder publicly documents the full development journey, including losing trades, code revisions, and raw performance data, so the site functions as both a trading tool and an honest build log. RLATO is aimed at retail traders and algo-curious developers who want to follow or learn from a real-world trading bot built from scratch.

Used For

Retail traders and algo-curious developers use RLATO to run or study an automated NAS100 trading bot built on Wyckoff methodology with a self-learning memory module.

Pricing

Paid

Free

Pricing not published — visit the website for details.

View pricing

Pros & Cons

Pros

• Applies the Wyckoff SC+Test framework to time NAS100 entries and exits • A memory module tracks which setups historically won and feeds them into future decisions • Full public build log documents real trades, losses, code revisions, and raw performance data • Transparency-first approach lets traders learn from an actual working bot rather than marketing claims

Cons

• Solo-developed and focused on a single index (NAS100), so scope is narrow • Algorithmic trading carries real financial risk and past setups do not guarantee future results • Early-stage indie project rather than an established, audited trading platform • No productized access or pricing clearly published

Questions & Answers

Alternatives

3Commas, TradeSanta, Composer, QuantConnect

Reviews & Ratings

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