NeomAAA Funds Prop Firm Overview

Deep dive into NeomAAA Funds — their 1-step, 2-step and instant programs, drawdown rules, news policy, EA and copy trading conditions, commissions, payouts and country restrictions so you can quickly decide if this prop firm matches your trading style.

NeomAAA Funds Official Offer
⭐ 4.0 (rating via community)
Upto 25% off
Up to 80% profit split with bi-weekly payouts via PayPal and Crypto.
Code: FPH

Firm Overview

Broker:

ThinkMarkets TradeLocker

Trading Platforms:

cTrader TradeLocker

Account Types:

2-Step Challenge 1-Step Challenge Instant Funding

Payment Methods:

Credit/Debit Card PayPal Crypto

Payout Methods:

PayPal Crypto

Instruments & Markets:

FX Crypto Other CFDs

Programs & Core Rules

2-Step Challenge

1-Step Challenge

Instant Funding Program

Leverage & Risk Parameters

Program Leverage Daily Drawdown Total Drawdown
2-Step Challenge 1:30 4% 8% (static)
1-Step Challenge 1:30 4% 7% (static)
Instant Funding 1:30 3% 6% (trailing)

Commissions

Trading Conditions & Platforms

News Trading Rules

EA & Copy Trading Rules

Prohibited Strategies

Compliance & IP Policy

Payout Policy

NeomAAA Funds offers a straightforward bi-weekly payout cycle across its 1-Step, 2-Step and Instant Funding programs, provided the account is in good standing and risk rules have been respected.

Scaling & Allocation

NeomAAA Funds does not advertise a formal multi-stage scaling ladder, but does cap total allocation per trader.

Restricted Countries

Sudan Somalia Iran Lebanon Syria Libya Vietnam

Additional Information

This page summarises the key conditions of NeomAAA Funds — from drawdown limits, leverage and commissions to news trading, EAs, copy trading and payout cycles. Use it as a quick reference when comparing NeomAAA Funds with other prop firms on Funded Prop Hub.

Since NeomAAA Funds offers 2-Step, 1-Step and Instant Funding under one brand with raw spreads, frequent payouts and bi-weekly withdrawal options, it can be a solid fit if you want a simple structure plus the choice between evaluation-based and instant models.