Field notes
Long-form on the parts of the prop stack that fail silently.
Prop-firm rule modelling, backtest correctness, broker integration. New posts twice a month under the Ryan or Lena byline.
The daily loss limit: the rule that busts more accounts than max drawdown
Max drawdown gets the headlines, but the daily loss limit ends more evals, because it resets every day, is measured against a moving start-of-day anchor, and at most firms counts open floating losses, not just closed trades. Here is exactly how the daily cap is calculated at each supported firm, and the four ways it silently breaches an account that is nowhere near its max drawdown.
Running one strategy across many prop accounts: the copy-trading and correlation rule that voids them all
Scaling a working strategy by copying it across several funded accounts feels like free leverage, until a single rule breach disqualifies every account at once. Most firms ban account-to-account copy trading, flag correlated fills across their own accounts, and many prohibit the same strategy running simultaneously at competing firms. Here is exactly what is allowed, what gets you mass-banned, and how to scale without tripping the correlation detectors.
Prop-firm scaling plans: how they actually work, and why they change which strategy wins
A scaling plan raises your funded balance as you hit profit and consistency milestones, but the rules that unlock the next tier quietly reward low-variance, steady strategies and punish lumpy high-conviction ones. The strategy that passes the eval is often not the one that scales. Here is how each supported firm scales, the milestones that gate each tier, and why your eval strategy may need to change the day you get funded.
Expected resets and the true cost of a prop-challenge: why the eval fee is the smallest line item
A $540 FTMO eval looks cheap until you count the resets. At a realistic 12% pass-rate the expected number of attempts is 8.3, the expected total spend is ~$4,500, and the breakeven against a self-funded $100k account is 7 months of full payout cycles. Most operators evaluate prop firms against the headline fee; the right metric is expected total cost, which is 3–9× the headline depending on pass-rate and firm.
The consistency cap: the prop-firm rule that silently voids more payouts than drawdown ever will
Drawdown rules close accounts during the challenge; the consistency cap voids payouts months later, after a trader has already passed evaluation, traded a funded account, and submitted a withdrawal. It is the rule operators discover at exactly the wrong moment. Here is the math for every supported firm, the curve shape it punishes, and the three position-sizing changes that keep a strategy payout-eligible.
How prop-firm payout rules quietly distort the strategies you build
Most strategy design treats payout as a downstream concern: build the edge, pass the challenge, withdraw the proceeds. The order is wrong. Payout cadence, profit split, profitable-day quotas, and growth-program structure each push a strategy toward a different shape before it ever sees a chart. Here is the mechanism, firm by firm, and the design changes that match each rule set.
FTMO max drawdown vs FundingPips Zero: the daily-vs-static rule trap
FTMO uses a static 10% drawdown; FundingPips Zero uses a trailing 5%, and the rule that sounds tighter on paper is sometimes the easier one to survive in practice. Here's the math, with the day-by-day breach scenarios that decide which firm fits your strategy.
Why TradingView backtests lie when you bring them to a prop firm
TradingView's strategy tester ignores spread, ignores realistic slippage, models commissions naively, and crucially has no concept of firm rules, daily caps, trailing drawdowns, consistency rules, news lockouts. A backtest that shows +20% on TradingView can fail FTMO on day 4. Here's exactly what the platform leaves out.
MetaApi vs broker-direct: latency, cost, and what breaks at 2am
MetaApi cloud-bridges MT4/MT5 accounts so any platform, Glitch Executor, custom Python, n8n, can route orders without running a local MT terminal. The convenience costs latency (80–150 ms RTT), money ($15–$50/mo per account), and a third party in the failure chain. Sometimes the trade-off is right; sometimes it isn't.
News-lockout EAs: the firms that ban them and the workarounds that actually hold up
Every prop firm has a news-trading policy and most of them include "no EA running during high-impact news." That's harder to comply with than it sounds, your EA can be perfectly disciplined and still get caught holding a position when CPI prints. Here are the rules at each firm and the four workarounds we've seen survive a payout review.
How we maintain accuracy
Editorial bar for the field-notes blog.
Reviewed by Ryan Tran, Strategy Lead, Glitch Executor. The blog uses the same firm-rule registry that powers the in-app backtester, so claims about drawdown math, daily-loss math, and payout cadence are reproducible from this repo.
- Every quantitative claim cites a primary source, usually the firm’s own terms page.
- No AI-generated thin content; every post is human-edited.
- We do not accept payment for placement and we do not take payment to remove a critical post.
- Posts older than 12 months get a freshness pass during the quarterly audit; outdated claims are revised or the post is retired with a redirect.
Index last reviewed . Individual posts carry their own publication and last-reviewed dates.
FAQ
About the Glitch Executor blog.
How often does Glitch Executor publish new posts?
Two new posts a month under the Ryan or Lena byline. Ryan covers firm-rule modelling and backtest correctness; Lena covers broker integration. We do not run AI-generated thin content; every post is human-edited and reviewed.
Where do the numbers in these posts come from?
Every quantitative claim links to a primary source, usually the firm's own terms page or our quarterly firm-rule audit. The firm-rule registry that powers the in-app backtester is the same source the posts cite.
Can I republish or link to these posts?
Yes, link freely. We don't accept payment for placement and we don't take payment to remove a critical post. If you want to republish in full, mention Glitch Executor and the canonical URL.
How do these posts relate to the in-app product?
The blog explains the rule shapes; the in-app backtester applies them to your actual strategy. Most posts close with a "pre-flight your own strategy" link to the relevant calculator or to the Library upload flow.