The best Puravida Edge strategy for the Topstep 100K challenge
Topstep runs on end-of-day Max Loss Limit. This page matches that rule set to the Puravida Edge portfolio built to live inside it — and shows the simulated outcome distribution, honestly, including the alternative.
The 10-second answer
For the Topstep 100K challenge, run the 100K-Balanced portfolio — Anchor MNQ · Reject MGC. It is sized so the loss floor is respected under the firm’s drawdown rule; over the 12-month backtest it produced a profit factor of 3.70 with a max drawdown of $1,188, and it is tracked live since April 2026.
What actually kills traders at Topstep
Topstep's trailing Max Loss Limit is measured end-of-day — more forgiving than an intraday trail — but two other rules trip up automated traders: the 50% consistency rule and a hard no-news-trading window. There is also a fixed daily loss limit on each account size.
The 50% consistency requirement (best day ≤ half of total profit) and the daily loss limit are why a single-instrument, single-strategy approach struggles here; a paired, multi-day book stays inside both.
Full firm rules, current as of May 2026: How to pass Topstep →
The match
100K-Balanced — composition
Sizing: Anchor MNQ 4ct + Reject MGC 1ct. Each leg is a deterministic rule-based strategy with hard-coded entries, targets and drawdown limits.
Why it fits Topstep
Position sizing keeps peak simulated drawdown at 39.6% of the firm's hard drawdown allowance — a deliberate buffer against the end-of-day Max Loss Limit, not a coincidence of backtest luck.
Simulated outcome (Monte Carlo P50)
The alternative
Get the full Playbook
The complete portfolio map, sizing, and rule-fit notes for every firm — free.
FAQ
Which Puravida Edge portfolio fits Topstep 100K?
The 100K Balanced portfolio (Anchor MNQ · Reject MGC). It is matched to Topstep's end-of-day Max Loss Limit so position sizing respects the firm's loss floor from day one.
Is this an automated strategy or do I run it myself?
The portfolio is a set of rule-based TradingView strategies with hard-coded entries, targets and drawdown limits. The signals are deterministic — they fire on defined conditions, not discretion.
Are the numbers a guarantee?
No. Every figure comes from a 1,500-path Monte Carlo over a backtest + live sample (Jun 2025 — May 2026) and describes a distribution of outcomes, not a promise. Always verify Topstep's current rules before deploying.