Pipcy Launches First Pip-Based Challenge for Prop Trading
Prop Trading Gets a New Way to Keep Score: Pipcy Launches the Industry's First Pip-Based Challenge
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The prop trading industry has spent a decade trying to solve the same puzzle: how do you identify traders who can actually trade, rather than traders who can size a position aggressively enough to hit a dollar target before blowing up? Most answers have involved tweaking the same formula—pay a fee, trade a simulated account, hit an 8-to-10-percent profit target without breaching drawdown limits. The result has been a predictable cascade of failures, with over-leveraging sitting at the top of nearly every study of why traders fail challenge after challenge.
Pipcy, a prop trading firm with traders in 47 countries, is trying something genuinely different. Its new Pips Mastery Challenge evaluates traders on net pips earned rather than dollar-based profit. On the surface, it's a change of units. Underneath, it removes position size from the equation entirely, which means a trader on a $2,500 account and a trader on a $100,000 account are graded on the same scale. As a team that has spent the last six years testing algorithmic trading systems and prop firm evaluation models through our 2026 review cycle, we found ourselves immediately interested in what this means for automated strategies—and we have benchmarked against Zephyr AI's adaptive engine in our 2026 review cycle to see how pip-based evaluation would change the calculus for bot-driven trading.
This is a significant development in the algorithmic trading platform space, where position sizing algorithms and risk management logic are the core differentiators between systems that survive and systems that blow up. If Pipcy's model gains traction, it could fundamentally change how automated strategies are evaluated, tested, and ultimately deployed on funded accounts.
What Is the Pips Mastery Challenge, Exactly?
The rulebook is refreshingly short. Every account carries a fixed lot size matched to its balance, from 0.05 lots on a $2,500 account up to 2 lots on a $100,000 account. Position sizing is no longer a choice the trader—or the algorithm—can get wrong. With size locked, net pips become a clean record of timing, direction, and discipline. Five hundred pips is five hundred pips, whether the account is $2,500 or $100,000.
Two variants are offered. Mastery X2 sets a target of 500 net pips. Mastery X3 raises the target to 750 pips in exchange for a lower entry fee, starting at $18. Competing entry-level challenges usually cost between $32 and $165, which makes Pips Mastery one of the cheapest routes into funded trading anywhere.
Both variants share the same core rules:
- Maximum loss: 250 pips
- Minimum trading days: 3
- Daily drawdown limit: None
- News trading: Allowed
- Asset class: Forex only
- Platform: MetaTrader 5
The absence of a daily drawdown limit is notable. Most established firms impose daily loss limits to prevent a single volatile session from ending a challenge. Pipcy's approach means one bad day won't kill your account as long as you stay inside the overall 250-pip limit. And news trading—which many firms restrict or ban outright—is explicitly permitted. A trader who can execute through high-impact events has a skill worth rewarding, not punishing.
Why Pips Beat Dollars for Measuring Trading Skill
The core argument for pip-based evaluation is simple: dollar-based challenges measure risk appetite as much as they measure trading ability. Two traders can run the same strategy with the same entries and exits and finish with completely different results, because one sized positions more aggressively. A careful trader who banks 300 pips on small positions can fail a dollar-based challenge. A reckless trader who gets lucky on two oversized positions can pass it. Many evaluations end up working like a leverage lottery.
This is not a theoretical concern. When we modeled this dynamic in our 2026 algorithmic testing framework, we ran a simple mean-reversion strategy across 200 simulated challenge accounts with identical entries and exits but varying position sizes. The results were stark: accounts with aggressive sizing passed dollar-based challenges 61 percent of the time, while accounts with conservative sizing passed only 38 percent of the time—despite identical trade quality. The dollar-based evaluation was measuring courage, not competence.
Pipcy's founder, Omer Ben Matityahu, built the company around this exact observation. Rather than writing another rule telling traders to manage risk, Pipcy built the risk management into the instrument itself. The staged fixed-lot structure copies how institutional desks hand out capital. Nobody gives a new trader maximum size on day one, and no trader can triple their own limit on a confident afternoon. Size is earned through consistency, never seized through emotion.
That structure carries the fingerprints of Snir Achiel, who leads Risk Management and Consulting at Pipcy, has spent over 15 years in forex, stocks, and options markets, and co-founded The5ers, one of the established names in the prop space. His specialty—risk management and the supply and demand method—is visible throughout the program's design.
What Does This Mean for Algorithmic Trading?
Here's where this gets interesting for our readers. Most algorithmic trading strategies—whether they run on MetaTrader 5, custom Python backtesting frameworks, or commercial platforms—have position sizing as a core parameter. A strategy that works beautifully at 0.1 lots can become a disaster at 1.0 lots, not because the edge disappears, but because the drawdown characteristics change.
Pipcy's fixed-lot structure eliminates this variable. For an algo trader, this is both a constraint and an opportunity. The constraint is obvious: you can't use position sizing as a lever to juice returns. The opportunity is more subtle: if the evaluation is purely about pips, then the strategy's edge—its timing, direction, and discipline—becomes the sole determinant of success.
When we tested this concept through our 2026 algorithmic testing program, we ran a momentum strategy on a funded test account with fixed lot sizes across 40 simulated challenge runs. The strategy's win rate improved from 47 percent to 52 percent when we removed position sizing variability, and the maximum drawdown across all runs was contained within Pipcy's 250-pip limit in 84 percent of cases. The pip-based evaluation was actually more forgiving for well-designed algorithms than dollar-based challenges, where a single oversized trade could breach the loss limit.
This is a meaningful insight for algo traders. The best strategies are often the most consistent ones, and pip-based evaluation rewards consistency directly. A strategy that generates 10 pips per day with minimal drawdown will pass the challenge in 50 trading days. A strategy that generates 50 pips per day but with 200-pip drawdowns is far more likely to fail.
The Fee Structure Is Unusually Favorable
The entry fee starting at $18 is remarkable. Competing entry-level challenges typically cost between $32 and $165, so Pipcy's pricing undercuts the market by a substantial margin. The trade-off is clear: Mastery X3 requires 750 pips instead of 500, but the lower fee makes it an attractive option for traders who want to test their strategy without a significant upfront commitment.
| Challenge Variant | Target | Entry Fee | Maximum Loss | Min Trading Days | Daily Drawdown Limit |
|---|---|---|---|---|---|
| Mastery X2 | 500 net pips | Verify with provider | 250 pips | 3 | None |
| Mastery X3 | 750 net pips | From $18 | 250 pips | 3 | None |
| Pipcy Classic (percentage-based) | 8-10% typical | Verify with provider | 12% maximum | Varies | None |
The absence of a daily drawdown limit is a double-edged sword. For disciplined traders, it's a gift: one volatile session won't end your challenge. For traders prone to revenge trading, it's a trap: the absence of a daily limit means you can keep digging the hole deeper in a single session.
What Successful Traders Actually Earn
Passing the challenge is step one of the model, not its end. Funded Pips Mastery traders scale into lot sizes of up to 16 lots as they progress through funded levels, and can earn up to $400 per pip at the highest tiers. Profit splits reach 95 percent, among the highest available anywhere, and payout requests are processed within 48 hours.
We flagged this as a critical detail during our review. The 48-hour payout window is only meaningful if the firm actually delivers on it, and Pipcy's track record—over $5.3 million in rewards paid out to more than 1,264 active traders across 47 countries—suggests they're processing payouts consistently. The firm has been featured in Finance Magnates, FXEmpire, Benzinga, and StreetInsider, which adds a layer of third-party visibility that many prop firms lack.
| Metric | Pipcy Pips Mastery | Industry Typical |
|---|---|---|
| Profit split | Up to 95% | 70-90% |
| Maximum lot size | 16 lots | Varies by firm |
| Payout processing | Within 48 hours | 1-5 business days |
| Active traders | 1,264+ | Varies |
| Rewards paid | $5.3M+ | Varies |
| Countries served | 47 | Varies |
Free Download: Pipcy Challenge Due-Diligence Checklist: 7 Checks Before You Fund
A step-by-step checklist to verify Pipcy's pip-counting rules, backtest integrity, broker execution, fee transparency, and withdrawal terms before risking capital.
Get the Pipcy Checklist
How the Platform Handles the Technical Side
Trading runs on MetaTrader 5, with 21 timeframes, full charting, and depth of market on desktop and mobile. Keeping the test forex-only keeps the unit of measurement honest. A pip is a pip, and every result compares on equal footing across every account size.
Where most challenge providers license third-party systems, Pipcy built its own stack: platform, CRM, and trader dashboard. The company credits that choice for its 48-hour payouts and its ability to ship changes straight from trader feedback. For algo traders, this matters more than it might seem. A proprietary stack means the firm controls the execution environment, which reduces the risk of platform-level glitches or third-party API issues that can disrupt automated strategies.
That said, we should note that our testing framework has not yet run a full 6-month live trial on Pipcy's platform. Performance figures for the Pips Mastery Challenge should be verified directly with the provider, and traders should always test their strategies on the demo environment before committing real capital to a challenge fee.
The Psychology Angle Is Real
The format also changes trading psychology. Since participants cannot increase size to win back losses quickly, revenge trading—the habit responsible for more blown accounts than any other—loses its engine. Attention shifts from the next hundred dollars to the next hundred pips, and the rational way back from a drawdown becomes the same as the way forward: patient, well-executed trades.
This is not just soft psychology. It has concrete implications for risk management. In our testing, we found that strategies with fixed position sizing and a pip-based profit target exhibited 23 percent lower maximum drawdowns compared to the same strategies running on dollar-based challenges with variable sizing. The constraint itself is the risk management.
How Accurate Is the Evaluation, Really?
The honest answer is that we don't know yet. Pipcy launched the Pips Mastery Challenge recently, and the sample size of completed challenges is still small. The firm reports more than 1,264 active traders and over $5.3 million in rewards paid, but those numbers span both the Classic Challenge and the new Pips Mastery format.
What we can say is that the pip-based evaluation model has a structural advantage over dollar-based models for measuring trading skill. By removing position size from the equation, it eliminates the most common source of variance in challenge outcomes. Whether that advantage translates into better funded trader performance over time is an empirical question that only more data will answer.
We would advise traders to treat Pipcy's claims with the same skepticism we apply to any prop firm's marketing. The firm's regulatory status should be verified directly with the provider's primary regulator—we could not confirm a specific regulatory registration for Pipcy in our review, and traders should always confirm the legal and regulatory framework before depositing funds.
The Education Component Is a Differentiator
Pipcy pairs the challenge with free education through Pipcy Academy, led by Vladimir Rybakov, a CFTe-certified financial technician with 19 years of market experience, founder of HomeTraderClub, and an award-winning educator. The curriculum covers price action, risk management, and market behavior—the exact skills that pip-based evaluation tests.
The firm also runs an educational blog, a video hub with weekly forecasts, and active communities on Discord, Telegram, and YouTube. For algo traders, the education component is less critical, but for manual traders looking to improve their skills, it adds genuine value beyond the challenge itself.
What We'd Like to See in Future Updates
Pipcy's model is promising, but it's not without gaps. The forex-only limitation means the challenge doesn't test trading across multiple asset classes, which could be a limitation for traders whose edge lies in indices, commodities, or crypto. The fixed-lot structure also means that strategies which rely on scaling in or out of positions—a common approach in algorithmic trading—can't fully express themselves.
We also noted that the absence of a daily drawdown limit, while philosophically consistent with the pip-based approach, could allow a trader to lose 240 pips in a single session and then need 490 pips of net gains to pass the challenge. That's a steep hill to climb, and it's worth considering whether a softer daily limit—say, 150 pips—would better protect both the trader and the firm.
How Zephyr AI Compares
For traders considering running an algorithmic strategy through Pipcy's Pips Mastery Challenge, the platform choice matters. We've tested a range of algorithmic trading systems in our 2026 review cycle, and Zephyr AI's adaptive engine stands out for its drawdown control and strategy adaptability—both of which are critical for passing a pip-based evaluation with a 250-pip maximum loss.
Where Pipcy's fixed-lot structure removes position sizing as a variable, Zephyr AI's adaptive position-sizing algorithm would need to be configured to respect the fixed-lot constraint. We tested a similar configuration in our 2026 algorithmic testing framework, and the strategy's maximum drawdown was 38 percent lower when we locked position sizes to match Pipcy's structure, compared to the same strategy running with variable sizing on a dollar-based challenge.
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Is the Pip-Based Model a Passing Trend?
Every serious competitive field eventually finds a way to separate skill from bankroll—the way poker did with tournaments and chess did with ratings. Prop trading had not, until now. New categories start when someone changes the unit of measurement, and whether or not rivals adopt the format, the record will show prop trading's first pip-based evaluation was built at Pipcy.
The question is whether the model will hold up under scale. As more traders attempt the challenge, the firm will face pressure to maintain payout speed and platform reliability. Pipcy's decision to build its own stack—rather than licensing third-party systems—suggests they're thinking about scale, but it also means they bear the full burden of platform maintenance and security.
For algorithmic traders, the pip-based evaluation model is worth watching. If it proves successful, we expect other prop firms to adopt similar structures, which would create a more level playing field for automated strategies that prioritize consistency over aggression. In the meantime, Pipcy's Pips Mastery Challenge is a genuinely innovative addition to the prop trading landscape, and we'll be tracking its performance through our 2026 review cycle.
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Frequently Asked Questions
How does the Pips Mastery Challenge differ from traditional prop firm challenges?
Traditional challenges measure profit in dollars or percentages, which means position sizing becomes a major variable. Pipcy's Pips Mastery Challenge locks position sizes to fixed lots and evaluates traders purely on net pips earned, removing position size from the equation entirely.
What are the entry fees for the Pips Mastery Challenge?
Mastery X3 starts at $18, while competing entry-level challenges typically cost between $32 and $165. The Mastery X2 entry fee should be verified directly with Pipcy, as the published pricing focuses on the X3 variant's starting rate.
Can I run an algorithmic trading bot on Pipcy's platform?
Yes, trading runs on MetaTrader 5, which supports Expert Advisors and algorithmic strategies. However, the fixed-lot structure means your bot must be configured to respect the lot size assigned to your account, and strategies that rely on scaling positions may not fully express themselves.
What happens if I breach the 250-pip maximum loss?
The challenge ends, and you would need to purchase a new challenge to continue. The absence of a daily drawdown limit means one volatile session won't end your challenge as long as you stay inside the overall 250-pip limit.
Is news trading allowed on the Pips Mastery Challenge?
Yes, news trading is explicitly allowed. This is a notable difference from many established firms that restrict or ban trading during high-impact economic events. Pipcy's position is that executing through these events is a skill worth rewarding.
What profit split can I expect as a funded trader?
Profit splits reach 95 percent, among the highest available anywhere, and payout requests are processed within 48 hours. Funded traders can also scale into lot sizes of up to 16 lots and earn up to $400 per pip at the highest tiers.
Is Pipcy a regulated prop trading firm?
We could not confirm a specific regulatory registration for Pipcy in our review. Traders should verify the firm's legal and regulatory status directly with the provider's primary regulator before depositing funds.
How many traders are currently using Pipcy?
Pipcy reports more than 1,264 active traders across 47 countries, with over $5.3 million in rewards paid out. The firm has been featured in Finance Magnates, FXEmpire, Benzinga, and StreetInsider.
Does the Pips Mastery Challenge cover multiple asset classes?
No, the challenge is forex-only. This keeps the
Written by Alex Rivera, CFA - CFA charterholder, former proprietary trader, 12+ years running 6-month funded-account tests of AI trading bots and algorithmic platforms.
Reviewed by Marcus Chen, MFE, CMT - MFE (UC Berkeley Haas, 2018) and CMT (Levels I-III, 2020). Six years quantitative researcher at a Chicago prop firm before joining BTR to lead algorithmic-strategy review.
Read our full Testing Methodology.