I simulated 100,000 unrelated trading outcomes over 100 trades to show you the effects of the End-Of-Day adjustment.

I have provided evidence below that this is human-written.

This model assumes that the average trader is using a breakeven strategy with an average RRR of 1:2. Each trade has a 66.66% chance of losing $200 and a 33.33% chance of making $400.
The strategy executes 3 trades per day on average.
The trailing drawdown line starts at $48,000 for this prop firm, and it is only reviewed every 3 trades (1 average trading day), moving up to equity minus $2,000 if that value is higher than the current line. Once a path touches or falls below its trailing drawdown line, it is treated as failed and flatlines from that point onwards. The maximum drawdown cap is $50,000.

Figure 1

Figure 1 shows this logic visually over 50 trades. I plotted the 90th percentile, the 10th percentile, and a representative median outcome. The dashed lines show each path’s end-of-day drawdown, adjusted every three trades, while the red line shows the mean of those drawdown paths.

Using the same logic on all 100,000 simulated paths:

Here are the key values:
Mean final trailing DD level: $49,123.35 (AllMeanFinalTrailingValue/100,000)
Final trailing DD level: 50th percentile: $49,200 (Median Value)

This suggests that, on average, the prop firm’s risk with this profile is reduced significantly when natural variability is considered.
After the first payout, this prop firm reduces their risk even further by requiring traders to keep a buffer containing the profits they have earned to use as risk to continue trading.

Parameters and Limitations

No simulation is perfect, so it is important to state that we do not have access to their exact metrics. We must rely on reasonable but generous assumptions. I believe the average prop firm trader’s strategy is below breakeven before costs, but I do not have the statistics to prove it, so any value other than breakeven would be subjective without evidence. I used 1:2 because many traders use asymmetric ratios above 1:1, so the average could be higher, for example, 1:2.615, but I do not have the statistics to confirm it.

Key Parameters
The trailing drawdown threshold starts at $48,000
it is reviewed every 3 trades
it updates to max(previous DD line, equity at checkpoint -$2,000)
The maximum drawdown cap is $50,000.

Under these generous assumptions, the model produces an initial pass rate of 24.69%

Our Assumptions

1. What qualifies as a pass is $53,000 being hit before the trailing drawdown is hit, given the strategy’s risk. This is achieved in 50 trades on average for successful outcomes under these parameters (49.92 average trades: mean wins, 21.75; mean losses, 28.17).
2. We will assume that each trader withdraws as much as they can, and that 50% of the profits are withdrawn on each payout request at $53,000 repeatedly. Of those in the winning group (24,690 traders), 24.69% of them (6,096) will get paid out on the next cycle. This is around 6% of the original applicants (100,000 traders).
3. Over time, many of these 6,096 traders would still be expected to drift towards failure through edge decay, human error, or the absence of a genuine edge.
4. 24,690 out of 100,000 traders pass. The firm earns $98 per failure on this cycle (2x $49 monthly payments), estimated at $7,380,380. The other traders pay an additional $149 activation fee, which adds another $3,678,810. Under these assumptions, the firm would generate $11,059,190 in gross fee revenue for the cycle.
5. Each positive-outcome trader gives the prop firm 10% of the $1,500 withdrawn as part of the profit split. $150 x 6,096 traders brings another $914,400 in revenue, and now those traders will not realistically lose the prop firm’s principal. The traders earn $8,229,600 from live markets before income taxes.

The mean final trailing DD level in the simulation is $49,123.35, meaning the firm in this scenario loses an average of $876.65. (50000–49123.35)

$876.65 x 6,096 traders = $5,344,058 in losses.

In this scenario, the prop firm makes over $11 million USD from evaluation fees per cycle and another million from profit-split revenue, while losing $5.34 million from live exposure to trading losses. Evaluation fees: 11.059 million USD; payouts: 914 thousand USD. The main point is where the revenue comes from: most of it is generated by failure.

https://preview.redd.it/a5wtjzwq5lug1.png?width=1536&format=png&auto=webp&s=ad82ba7fa4cf4ca284e110678d106cf3bfcbd5a8

Comparing this scenario to a live environment.

Those who received a payout could have deposited $300 instead and risked 10% per trade with withdrawal plans, rather than using a prop firm, and would have gotten comparable results: 300 * 1.20^(21.752) * 0.90^(28.172) = $2205.608 ending balance. After a $1,350 withdrawal in this scenario, the trader can continue and begin to get similar payoffs as long as they can sustain the rate of success or have a genuine edge to sustain it (many traders will need one to get this far).

If a trader peaks at $1,000 in realised gains over 13 evaluation trades [EOD], with 6 profitable positions and 7 losses, and then later hits the maximum drawdown cap. In that case, the minimum loss is $49. If the trader experiences the same in this live environment, the trader loses $14.40 (300 * 1.2^(6) * 0.9^(7) * 0.6666) = $285.60.

After reaching $53,000, the trader can continue, but their ability to absorb losses only rises by 50%, from $2,000 to $3,000. The live account gets an 80.74%+ increase after the first withdrawal ($570.34 to $1,030.88), while maximum daily loss constraints can grow beyond $1,000, unlike the prop firm's, which is static.

What about margins requirements?

Unless you are a scalper, the additional leverage is not required. Scalping has high costs due to churn. It is not compatible for most traders. Human error or latency can have lasting negative effects on performance.

You are not supposed to max out your leverage if you are trading seriously.

100 ounces of gold futures (GC), or 1 lot, can be bought with $2,000 in intraday margin requirements or less. This is available on multiple futures brokers. The position value is beyond $450,000 USD, and you would be trading micros, which require even less margin (some brokers, such as Optimus Futures, require less than $100 per contract).

The percentage risk may look extreme, but the point of the comparison is to test the economic value of the offer under the same dollar-risk constraint, with the same capital at risk, so you can decide which option is most appropriate for you.

Important note:

Even under a generous breakeven-style simulation, the firm’s business model is still heavily supported by failed attempts, while the trader’s upside may be less compelling than it first appears once fees, splits, taxes, and rule-based friction are accounted for. 

I am aware of contract size minimums and how they can add friction, but people outside the USA can take more precise, smaller positions with other products, such as CFDs through a reputable, regulated broker. That was the path we took.

Disclaimer:
Sentient Trading Society is not affiliated with any prop firm and does not promote, endorse, or condone their use. Any references are for educational and analytical purposes only.

AI Check

Thanks for reading  - The Sentient Trading Society

Start With the Rules Instead Of Their Marketing

Proof that this is my work is provided towards the end.
If you choose to execute with a prop firm, I would suggest reading their legal terms and FAQs so you are aware of the conflicts of interest.

Before using a prop firm, get written confirmation that your strategy and account parameters are acceptable, directly from your registered email, including all the relevant stats applied to their prop account size, such as maximum drawdown, best trading days, risk %, etc. 
This may reduce the chances of conflicts regarding payouts.

The specific prop firm account type and size should be named in the email as well.

Do Not Overlook Strategy Compatibility

Prop firms have been noticeably unreliable over the last year, so we do not view them with the same level of seriousness. If you want to use them, you should do your due diligence and use strategies with gradual climbs in P&L. The problem with gradual climbs in P&L is that they dilute the potential benefit of operating with a prop firm in the first place. For example, 0.7% risk per trade could be closer to what you perceive as optimal compared to a risk value lower than 0.5%, but the prop firm may restrict traders who lose 1% within an hourly window and limit leverage by up to 80% on all accounts until multiple payouts are processed under those constraints. The triggers for these limitations are vague in their FAQs; this allows the firm to have additional flexibility to act against their trader’s financial interests.

https://preview.redd.it/lk3iuft8b6ug1.png?width=800&format=png&auto=webp&s=2b77ac4fc2b08ec249af0f873ef28803b805e68e

Here is one searchable example:
"Alpha capital risk management group"

Due Diligence Is Your Responsibility

Social proof anecdotes are not due diligence.
Do not trust positive anecdotes from traders and do not trust positive talk from educators (especially) regarding prop firms. You need to do your own due diligence and analysis to pick the route that aligns best with your goals.

Compare the Net Outcomes

If, over 6 months, you would accumulate a comparable amount of realised gains by trading higher risk percentages with a small deposit, using the same trades after taxes, prop firms may not be worth the additional friction and uncertainty.

In many countries, a 10,000 USD maximum drawdown is worth less than $7000 after taxes, payouts and other fees. You pay income taxes on your payouts, not capital gains.

The genuine realised profits after payout cuts (-10 to 20%) and income taxes (-20%+) should also be weighed against capital gains from live conditions with the same trading outcomes, higher risk percentages, and lower deposits.

The Counterparty Risk is Serious

With prop firms, you have to accept that they are not licensed and that payouts are honoured at their sole discretion, while they are quick to accept your money. Many retail prop firm models (live or simulated “funded” environments) require a high number of failed evaluations to generate meaningful revenue. A casino can kick people out for strong performance, and the player leaves with their winnings, but a prop firm can deny payouts legally. That’s the difference.

Examples On How Prop Firms Interpret and Manage Risk

Simulated Prop Account “Funding”
If too many people pass simulated accounts to get simulated “funded accounts", the prop firm has to risk paying out many people, which are direct losses on their balance sheet. 

The Main Conflicts of Interests:
The prop firm is the counterparty to your trade; they absorb your profits as losses when payouts are requested. Most of these prop firms use over-the-counter instruments such as unlicensed CFDs.

This gives them incentives to provide worse execution resulting in slippage.
Last look is when a CFD broker decides whether to execute your order or not or to delay the execution, which almost always works against the trader’s best interest by introducing additional latency. This is what most CFD brokers participate in which is why the industry has a poor reputation. Fortunately platforms like cTrader can track abnormal delays automatically through trading history but it doesn't prevent this interference if the liquidity provider is the broker or prop firm itself as they provide the liquidity and prices. Even if the prop firm gets prices from elsewhere simulated prop firm environments order execution connections can introduce delays at their sole discretion.

They can also choose to quote higher bid-ask spread quotes than normal which amplifies costs reducing the edge (for example, providing a 75 cent spread on S&P 500 CFDs when the underlying asset ES futures has a 25 cent spread), and higher overnight financing rates (swap fees) compared to the industry standard.
Some regulated CFD brokers with clear execution policies and regulation do not have this conflict of interest but these prop firms do.

Industry Adjustments (2022-2026)
“Best day rules” or “consistency rules”
Increase equity curve variability, reducing the chance a trader gets a payout, especially those with strategies that benefit from large movements.
“Individual risk percentage rules”
Exist to limit optimal risk-taking, e.g., a low-frequency day trader or swing trader, and increase failures (for example, slippage could result in a 0.8% risk trade resulting in a -1.1% loss, resulting in account voids or other consequences).
“Account rolling”
Limits the trader’s ability to benefit from natural positive variance in outcomes across multiple strategies to pass.
“All-or-nothing trading” or “one-sided bets”
Punishes scaling in to profitable positions. Retail prop firms frame multiple executions or positions in the same direction as gambling, even though institutional traders also use this approach.
“Payouts” or “profit splits”
In the simulated prop firm industry, payout splits are rarely the key revenue stream; instead, they are for marketing so it feels collaborative instead of like a casino. It also drags on net earnings

How I Interpret These Changes
Because profitability is largely tied to evaluation failure, positive trader outcomes often become direct costs to the firm, I see many of these changes as attempts to increase failure rates. That pressure may be even strongerif evaluation demand has weakened as people have less disposable income to commit in the current economy.
The worst thing about these rules is that sometimes they are not declared clearly but are instead scattered across their articles, FAQs, and legal documents. Prop firms use carefully structured narratives to frame each rule like it exists to benefit a trader, while each is additional friction and against a trader’s financial interests.

Live Prop Account “Funding”
If too many people pass simulated accounts to access live funds, the prop firm has excess financial risk. If the traders fail, the prop firm feels it; the evaluation costs from failures cover a lot of this pain.

How Risk Is Reduced Further
End-of-day trailing drawdowns keep their average financial risk below the initial maximum drawdown value, e.g., $2000 for a 50k account [1].
In funded conditions some futures prop firms have consistency rules which lower a prop firm’s financial risk by adding additional variability to individual trader outcomes. Losing systems can produce profitable results over a short time horizon and vice versa. Consistency rules reduce this.

Just like in simulated prop firms, payout splits are typically not their primary revenue stream; they exist primarily for marketing so funding feels supportive but also to reduce risk.

I simulated 100,000 unrelated trading outcomes over 100 trades to show you the effects of the end-of-day trailing drawdown adjustment [1].

This model assumes the average trader is using a breakeven strategy with an average RRR of 1:2. Each individual position has a 66.66% chance that it will result in a loss of $200 and a 33.33% chance it will earn $400.
The strategy executes 3 trades per day on average.
The trailing drawdown line starts at $48,000 for this prop firm, and it is only reviewed every 3 trades (1 average trading day), moving up to equity minus $2,000 if that value is higher than the current line. Once a path touches or falls below its trailing drawdown line, it is treated as failed and flatlines from that point onwards. The maximum drawdown cap is $50,000.

https://preview.redd.it/77rrazd4b6ug1.png?width=1189&format=png&auto=webp&s=a16ca9675ecaca35b0a57659e0caff789b6e78e2

Figure 1 shows this logic visually over 50 trades. I plotted the 90th percentile, the 10th percentile, and a representative median outcome. The dashed lines show each path’s end-of-day drawdown, adjusted every three trades, while the red line shows the mean of those drawdown paths. (All_Lines/3).

Using the same logic on all 100,000 simulated paths:

Here are the key values:
Mean final trailing DD level: $49,123.35 (AllMeanFinalTrailingValue/100,000)
Final trailing DD level: 50th percentile: $49,200 (Median Value)

This suggests that, on average, the prop firm’s risk with this profile is reduced significantly when natural variability is considered.
After the first payout, this prop firm reduces their risk even further by requiring traders to keep a buffer containing the profits they have earned to use as risk to continue trading.

The same simulation also gives a rough view of the firm’s potential economics under this model. If you are interested in their potential earning potential with this model, you can view the numbers here at the end of the article.

Parameters and Limitations

No simulation is perfect, so it is important to state that we do not have access to their exact metrics. We must rely on reasonable but generous assumptions. I believe the average prop firm trader’s strategy is below breakeven before costs, but I do not have the statistics to prove it, so any value other than breakeven would be subjective without evidence. I used 1:2 because many traders use asymmetric ratios above 1:1, so the average could be higher, for example, 1:2.615, but I do not have the statistics to confirm it.

Key Parameters
The trailing drawdown threshold starts at $48,000
It is reviewed every 3 trades (The end of each trading day)
It updates to max(previous DD line, equity at checkpoint -$2,000)
The maximum drawdown cap is $50,000.

Should You Use Prop Firms and Live Accounts or Pick One?

Generating “real profits” feels good in real time, but it’s about how much is accumulated at the end of each cycle.

I would personally stick to one approach at a time instead of merging them.

Your stats, risk appetite and result estimates, including taxes, will contribute to your decision.

r/Trading/comments/1sfxpbl/

Click here to view the extended version of the prop firm simulation, including simplified futures prop firm outcomes and direct comparisons to a live environment.

Disclaimer:
Sentient Trading Society is not affiliated with any prop firm and does not promote, endorse, or condone their use. Any references are for educational and analytical purposes only.

AI Check

Thanks for reading  - The Sentient Trading Society

Start With the Rules Instead Of Their Marketing

Proof that this is my work is provided towards the end.

If you choose to execute with a prop firm, I would suggest reading their legal terms and FAQs so you are aware of the conflicts of interest.

Before using a prop firm, get written confirmation that your strategy and account parameters are acceptable, directly from your registered email, including all the relevant stats applied to their prop account size, such as maximum drawdown, best trading days, risk %, etc. 
This may reduce the chances of conflicts regarding payouts.

The specific prop firm account type and size should be named in the email as well.

Do Not Overlook Strategy Compatibility

Prop firms have been noticeably unreliable over the last year, so we do not view them with the same level of seriousness. If you want to use them, you should do your due diligence and use strategies with gradual climbs in P&L. The problem with gradual climbs in P&L is that they dilute the potential benefit of operating with a prop firm in the first place. For example, 0.7% risk per trade could be closer to what you perceive as optimal compared to a risk value lower than 0.5%, but the prop firm may restrict traders who lose 1% within an hourly window and limit leverage by up to 80% on all accounts until multiple payouts are processed under those constraints. The triggers for these limitations are vague in their FAQs; this allows the firm to have additional flexibility to act against their trader’s financial interests.

https://preview.redd.it/gagxx1iab6ug1.png?width=800&format=png&auto=webp&s=43fb3dc7412c3daf0a8c2619c07f032565147dda

Here is one searchable example:
"Alpha capital risk management group"

Due Diligence Is Your Responsibility

Social proof anecdotes are not due diligence.
Do not trust positive anecdotes from traders and do not trust positive talk from educators (especially) regarding prop firms. You need to do your own due diligence and analysis to pick the route that aligns best with your goals.

Compare the Net Outcomes

If, over 6 months, you would accumulate a comparable amount of realised gains by trading higher risk percentages with a small deposit, using the same trades after taxes, prop firms may not be worth the additional friction and uncertainty.

In many countries, a 10,000 USD maximum drawdown is worth less than $7000 after taxes, payouts and other fees. You pay income taxes on your payouts, not capital gains.

The genuine realised profits after payout cuts (-10 to 20%) and income taxes (-20%+) should also be weighed against capital gains from live conditions with the same trading outcomes, higher risk percentages, and lower deposits.

The Counterparty Risk is Serious

With prop firms, you have to accept that they are not licensed and that payouts are honoured at their sole discretion, while they are quick to accept your money. Many retail prop firm models (live or simulated “funded” environments) require a high number of failed evaluations to generate meaningful revenue. A casino can kick people out for strong performance, and the player leaves with their winnings, but a prop firm can deny payouts legally. That’s the difference.

Examples On How Prop Firms Interpret and Manage Risk

Simulated Prop Account “Funding”
If too many people pass simulated accounts to get simulated “funded accounts", the prop firm has to risk paying out many people, which are direct losses on their balance sheet. 

The Main Conflicts of Interests:
The prop firm is the counterparty to your trade; they absorb your profits as losses when payouts are requested. Most of these prop firms use over-the-counter instruments such as unlicensed CFDs.

This gives them incentives to provide worse execution resulting in slippage.
Last look is when a CFD broker decides whether to execute your order or not or to delay the execution, which almost always works against the trader’s best interest by introducing additional latency. This is what most CFD brokers participate in which is why the industry has a poor reputation. Fortunately platforms like cTrader can track abnormal delays automatically through trading history but it doesn't prevent this interference if the liquidity provider is the broker or prop firm itself as they provide the liquidity and prices. Even if the prop firm gets prices from elsewhere simulated prop firm environments order execution connections can introduce delays at their sole discretion.

They can also choose to quote higher bid-ask spread quotes than normal which amplifies costs reducing the edge (for example, providing a 75 cent spread on S&P 500 CFDs when the underlying asset ES futures has a 25 cent spread), and higher overnight financing rates (swap fees) compared to the industry standard.
Some regulated CFD brokers with clear execution policies and regulation do not have this conflict of interest but these prop firms do.

Industry Adjustments (2022-2026)
“Best day rules” or “consistency rules”
Increase equity curve variability, reducing the chance a trader gets a payout, especially those with strategies that benefit from large movements.
“Individual risk percentage rules”
Exist to limit optimal risk-taking, e.g., a low-frequency day trader or swing trader, and increase failures (for example, slippage could result in a 0.8% risk trade resulting in a -1.1% loss, resulting in account voids or other consequences).
“Account rolling”
Limits the trader’s ability to benefit from natural positive variance in outcomes across multiple strategies to pass.
“All-or-nothing trading” or “one-sided bets”
Punishes scaling in to profitable positions. Retail prop firms frame multiple executions or positions in the same direction as gambling, even though institutional traders also use this approach.
“Payouts” or “profit splits”
In the simulated prop firm industry, payout splits are rarely the key revenue stream; instead, they are for marketing so it feels collaborative instead of like a casino. It also drags on net earnings

How I Interpret These Changes
Because profitability is largely tied to evaluation failure, positive trader outcomes often become direct costs to the firm, I see many of these changes as attempts to increase failure rates. That pressure may be even strongerif evaluation demand has weakened as people have less disposable income to commit in the current economy.
The worst thing about these rules is that sometimes they are not declared clearly but are instead scattered across their articles, FAQs, and legal documents. Prop firms use carefully structured narratives to frame each rule like it exists to benefit a trader, while each is additional friction and against a trader’s financial interests.

Live Prop Account “Funding”
If too many people pass simulated accounts to access live funds, the prop firm has excess financial risk. If the traders fail, the prop firm feels it; the evaluation costs from failures cover a lot of this pain.

How Risk Is Reduced Further
End-of-day trailing drawdowns keep their average financial risk below the initial maximum drawdown value, e.g., $2000 for a 50k account [1].
In funded conditions some futures prop firms have consistency rules which lower a prop firm’s financial risk by adding additional variability to individual trader outcomes. Losing systems can produce profitable results over a short time horizon and vice versa. Consistency rules reduce this.

Just like in simulated prop firms, payout splits are typically not their primary revenue stream; they exist primarily for marketing so funding feels supportive but also to reduce risk.

I simulated 100,000 unrelated trading outcomes over 100 trades to show you the effects of the end-of-day trailing drawdown adjustment [1].

This model assumes the average trader is using a breakeven strategy with an average RRR of 1:2. Each individual position has a 66.66% chance that it will result in a loss of $200 and a 33.33% chance it will earn $400.
The strategy executes 3 trades per day on average.
The trailing drawdown line starts at $48,000 for this prop firm, and it is only reviewed every 3 trades (1 average trading day), moving up to equity minus $2,000 if that value is higher than the current line. Once a path touches or falls below its trailing drawdown line, it is treated as failed and flatlines from that point onwards. The maximum drawdown cap is $50,000.

https://preview.redd.it/7zv83xkhb6ug1.png?width=1189&format=png&auto=webp&s=4fd12ba6686663d362e5c104ff826aa429b6db9c

Figure 1 shows this logic visually over 50 trades. I plotted the 90th percentile, the 10th percentile, and a representative median outcome. The dashed lines show each path’s end-of-day drawdown, adjusted every three trades, while the red line shows the mean of those drawdown paths. (All_Lines/3).

Using the same logic on all 100,000 simulated paths:

Here are the key values:
Mean final trailing DD level: $49,123.35 (AllMeanFinalTrailingValue/100,000)
Final trailing DD level: 50th percentile: $49,200 (Median Value)

This suggests that, on average, the prop firm’s risk with this profile is reduced significantly when natural variability is considered.
After the first payout, this prop firm reduces their risk even further by requiring traders to keep a buffer containing the profits they have earned to use as risk to continue trading.

The same simulation also gives a rough view of the firm’s potential economics under this model. If you are interested in their potential earning potential with this model, you can view the numbers here at the end of the article.

Parameters and Limitations

No simulation is perfect, so it is important to state that we do not have access to their exact metrics. We must rely on reasonable but generous assumptions. I believe the average prop firm trader’s strategy is below breakeven before costs, but I do not have the statistics to prove it, so any value other than breakeven would be subjective without evidence. I used 1:2 because many traders use asymmetric ratios above 1:1, so the average could be higher, for example, 1:2.615, but I do not have the statistics to confirm it.

Key Parameters
The trailing drawdown threshold starts at $48,000
It is reviewed every 3 trades (The end of each trading day)
It updates to max(previous DD line, equity at checkpoint -$2,000)
The maximum drawdown cap is $50,000.

Should You Use Prop Firms and Live Accounts or Pick One?

Generating “real profits” feels good in real time, but it’s about how much is accumulated at the end of each cycle.

I would personally stick to one approach at a time instead of merging them.

Your stats, risk appetite and result estimates, including taxes, will contribute to your decision.

r/Trading/comments/1sfxpbl/

Click here to view the extended version of the prop firm simulation, including simplified futures prop firm outcomes and direct comparisons to the live environment.

Disclaimer:
Sentient Trading Society is not affiliated with any prop firm and does not promote, endorse, or condone their use. Any references are for educational and analytical purposes only.

AI Check

Thanks for reading  - The Sentient Trading Society

I simulated 100,000 unrelated trading outcomes over 100 trades to show you the effects of the End-Of-Day adjustment.

I have provided evidence below that this is human-written.

This model assumes that the average trader is using a breakeven strategy with an average RRR of 1:2. Each trade has a 66.66% chance of losing $200 and a 33.33% chance of making $400.
The strategy executes 3 trades per day on average.
The trailing drawdown line starts at $48,000 for this prop firm, and it is only reviewed every 3 trades (1 average trading day), moving up to equity minus $2,000 if that value is higher than the current line. Once a path touches or falls below its trailing drawdown line, it is treated as failed and flatlines from that point onwards. The maximum drawdown cap is $50,000.

Figure 1

Figure 1 shows this logic visually over 50 trades. I plotted the 90th percentile, the 10th percentile, and a representative median outcome. The dashed lines show each path’s end-of-day drawdown, adjusted every three trades, while the red line shows the mean of those drawdown paths.

Using the same logic on all 100,000 simulated paths:

Here are the key values:
Mean final trailing DD level: $49,123.35 (AllMeanFinalTrailingValue/100,000)
Final trailing DD level: 50th percentile: $49,200 (Median Value)

This suggests that, on average, the prop firm’s risk with this profile is reduced significantly when natural variability is considered.
After the first payout, this prop firm reduces their risk even further by requiring traders to keep a buffer containing the profits they have earned to use as risk to continue trading.

Parameters and Limitations

No simulation is perfect, so it is important to state that we do not have access to their exact metrics. We must rely on reasonable but generous assumptions. I believe the average prop firm trader’s strategy is below breakeven before costs, but I do not have the statistics to prove it, so any value other than breakeven would be subjective without evidence. I used 1:2 because many traders use asymmetric ratios above 1:1, so the average could be higher, for example, 1:2.615, but I do not have the statistics to confirm it.

Key Parameters
The trailing drawdown threshold starts at $48,000
it is reviewed every 3 trades
it updates to max(previous DD line, equity at checkpoint -$2,000)
The maximum drawdown cap is $50,000.

Under these generous assumptions, the model produces an initial pass rate of 24.69%

Our Assumptions

1. What qualifies as a pass is $53,000 being hit before the trailing drawdown is hit, given the strategy’s risk. This is achieved in 50 trades on average for successful outcomes under these parameters (49.92 average trades: mean wins, 21.75; mean losses, 28.17).
2. We will assume that each trader withdraws as much as they can, and that 50% of the profits are withdrawn on each payout request at $53,000 repeatedly. Of those in the winning group (24,690 traders), 24.69% of them (6,096) will get paid out on the next cycle. This is around 6% of the original applicants (100,000 traders).
3. Over time, many of these 6,096 traders would still be expected to drift towards failure through edge decay, human error, or the absence of a genuine edge.
4. 24,690 out of 100,000 traders pass. The firm earns $98 per failure on this cycle (2x $49 monthly payments), estimated at $7,380,380. The other traders pay an additional $149 activation fee, which adds another $3,678,810. Under these assumptions, the firm would generate $11,059,190 in gross fee revenue for the cycle.
5. Each positive-outcome trader gives the prop firm 10% of the $1,500 withdrawn as part of the profit split. $150 x 6,096 traders brings another $914,400 in revenue, and now those traders will not realistically lose the prop firm’s principal. The traders earn $8,229,600 from live markets before income taxes.

The mean final trailing DD level in the simulation is $49,123.35, meaning the firm in this scenario loses an average of $876.65. (50000–49123.35)

$876.65 x 6,096 traders = $5,344,058 in losses.

In this scenario, the prop firm makes over $11 million USD from evaluation fees per cycle and another million from profit-split revenue, while losing $5.34 million from live exposure to trading losses. Evaluation fees: 11.059 million USD; payouts: 914 thousand USD. The main point is where the revenue comes from: most of it is generated by failure.

https://preview.redd.it/cnuwlvo4tztg1.png?width=1536&format=png&auto=webp&s=3835b43b9942abec73e2cbbdbd645b3f63882ec6

>If the failure rate is higher than the values present in our simulation, so is the revenue.

Comparing this scenario to a live environment.

Those who received a payout could have deposited $300 instead and risked 10% per trade with withdrawal plans, rather than using a prop firm, and would have gotten comparable results: 300 * 1.20^(21.752) * 0.90^(28.172) = $2205.608 ending balance. After a $1,350 withdrawal in this scenario, the trader can continue and begin to get similar payoffs as long as they can sustain the rate of success or have a genuine edge to sustain it (many traders will need one to get this far).

If a trader peaks at $1,000 in realised gains over 13 evaluation trades [EOD], with 6 profitable positions and 7 losses, and then later hits the maximum drawdown cap. In that case, the minimum loss is $49. If the trader experiences the same in this live environment, the trader loses $14.40 (300 * 1.2^(6) * 0.9^(7) * 0.6666) = $285.60.

After reaching $53,000, the trader can continue, but their ability to absorb losses only rises by 50%, from $2,000 to $3,000. The live account gets an 80.74%+ increase after the first withdrawal ($570.34 to $1,030.88), while maximum daily loss constraints can grow beyond $1,000, unlike the prop firm's, which is static.

What about margins requirements?

Unless you are a scalper, the additional leverage is not required. Scalping has high costs due to churn. It is not compatible for most traders. Human error or latency can have lasting negative effects on performance.

You are not supposed to max out your leverage if you are trading seriously.

100 ounces of gold futures (GC), or 1 lot, can be bought with $2,000 in intraday margin requirements or less. This is available on multiple futures brokers. The position value is beyond $450,000 USD, and you would be trading micros, which require even less margin (some brokers, such as Optimus Futures, require less than $100 per contract).

The percentage risk may look extreme, but the point of the comparison is to test the economic value of the offer under the same dollar-risk constraint, with the same capital at risk, so you can decide which option is most appropriate for you.

Important note:

Even under a generous breakeven-style simulation, the firm’s business model is still heavily supported by failed attempts, while the trader’s upside may be less compelling than it first appears once fees, splits, taxes, and rule-based friction are accounted for. 

I am aware of contract size minimums and how they can add friction, but people outside the USA can take more precise, smaller positions with other products, such as CFDs through a reputable, regulated broker. That was the path we took.

Disclaimer:
Sentient Trading Society is not affiliated with any prop firm and does not promote, endorse, or condone their use. Any references are for educational and analytical purposes only.

AI Check

Thanks for reading  - The Sentient Trading Society