Know You’ve Got What It Takes?

Bootcamp

An accessible 3-step challenge with the best funding for your buck

Start on the Bootcamp plan
$475-$715 in funding for every $1 you put in

$475-$715 in funding for every $1 you put in

Up to 100% profit share

Up to 100% profit share

Bonus after the first step

Bonus after the first step

Unlimited time to pass

Unlimited time to pass

Best funding for your buck

Best funding for your buck

Scale your account on every 5% target

Scale your account on every 5% target

Funding Plans

Pay a low-cost entry fee and the rest upon success

Step 1
Step 2
Step 3
Funded Trader
Initial Balance
$5,000
$10,000
$15,000
$20,000
Profit Target
6%
6%
6%
5%
Max Loss
5%
5%
5%
4%
Daily Pause
–
–
–
3%
Leverage
1:30
1:30
1:30
1:30
Time Limit
Unlimited
Unlimited
Unlimited
Unlimited
Profit Share
–
–
–
Up to 100%
Bonus
$2 Hub Credit
–
–
–
Cost
$22
–
–
$50
Start on the Bootcamp plan

Comprehensive Program Overview

Program specifications

Maximum number of active accounts per trader: 4 ( one $250K account + one $100K account + two $20K accounts). Each account must have a different trading method.

Accounts without activity for more than 30 consecutive days will be closed.

Holding open trades overnight and over the weekend is allowed. Holding Indices over the weekend carries very high swaps.

Leverage for all accounts: 1:30. Margin requirements applies. Check FAQs below.

Any account with 5 violations will be automatically terminated

Wals Julie Sets 293-296 May 2026

It is likely that "Julie sets" refers to a different context or a specific academic project using WALS data. Based on available records, here are the most probable interpretations: 1. WALS 2021 Presentation by Juliet Langman

Covers the number of genders and assignment systems. WALS Julie sets 293-296

This could refer to a specific user's dataset or a sub-set named "Julie" in a shared programming environment (like a Google Cloud training module). 3. WALS Typological Features (Misnumbered) It is likely that "Julie sets" refers to

There is no record of "Julie sets 293-296" within the . WALS is organized into 152 chapters , each corresponding to a specific linguistic feature (e.g., Chapter 1: "Consonant Inventories"). The numbering for these features currently goes up to 144 (e.g., 144A: "Position of Negative Morpheme"). This could refer to a specific user's dataset

The numbers 293–296 might refer to specific data points, slides, or participant groups in their study, which tracked passing rates for Hispanic and low-income students in gateway courses (e.g., engineering and math). 2. Machine Learning Data Indices

In some technical implementations of the WALS dataset (such as those hosted on GitHub or Kaggle), the numbers 293–296 often appear as in processed CSV files.