Prop firm playbook
MyFundedFutures + HuntersAlgo
What automated trading looks like on MFF Starter and Expert evaluations. Configuration, drawdown sizing, news policy, and the path to a funded account.
MyFundedFutures (MFF) is the newest of the three major US futures prop firms covered on this site, and it has carved a niche with the one-step Starter evaluation: hit the profit target without breaching the rules, no second phase. For a session-windowed automated strategy with a defined edge, this is the cleanest path to a funded account among the major firms.
Two caveats. MFF updates its rules quarterly. The numbers on this page reflect the published policy at the time of writing; confirm against myfundedfutures.com before subscribing. And the end-of-day trailing drawdown variant some plans use is different from Apex's intraday rule, so the sizing math below assumes the published EOD rule on the standard Starter plan.
MFF Starter rules at a glance
Standard Starter plan parameters published by MFF. Verify before subscribing.
| Account size | $50K Starter | $100K Starter | $150K Starter |
|---|---|---|---|
| Profit target | $3,000 | $6,000 | $9,000 |
| Trailing drawdown | $2,000 | $3,000 | $4,500 |
| Daily loss limit | $1,200 | $2,200 | $3,200 |
| Eval cost (one-time) | $80 | $165 | $265 |
HuntersAlgo configuration for MFF
Daily loss limit
Set the strategy daily-loss parameter to roughly 60% of the MFF daily limit. On a $50K Starter that is $720, not $1,200. Buffer covers fill variance and P&L update lag at the broker.
Daily trade cap
3 to 5 trades per day. Bounds the worst-case sequence inside the trailing drawdown, and aligns with the consistency expectations MFF applies to funded payouts.
Force-close time
MFF's end-of-day trailing drawdown rewards strategies that flatten before session close. HuntersAlgo's default 3:55 PM ET force-close ensures the daily balance settles cleanly inside the rule.
News blackout windows
Configure session blackouts for CPI, NFP, FOMC, ISM, and retail sales releases. MFF's news policy varies by plan; conservative blackouts cost a few trades per month and protect against the 50-tick adverse spike that ends evals.
Why Starter fits an automated strategy
The Starter evaluation is a single phase. Hit the profit target, do not breach the trailing drawdown, do not hit the daily loss limit. Once you graduate, the funded account follows similar rules with payout-stage consistency checks.
For an automated strategy, this maps cleanly. The strategy enforces the daily loss limit and the trade cap. The session windows enforce the news blackouts. The force-close enforces the end-of-day balance discipline that the trailing drawdown rule rewards. There is no second phase to re-prove the edge in. The eval is short, the path to funded is short, and the configuration that wins the eval is the same configuration that runs the funded account.
Use the futures position size calculator to compute contract counts for your specific Starter plan size and stop distance.
MFF + HuntersAlgo FAQ
Is automated trading allowed on MyFundedFutures?
MyFundedFutures permits automated trading on Starter and Expert evaluations and on funded accounts as long as the strategy executes on your machine through the standard Tradovate or Rithmic connection. Strategies cannot share signals across master accounts, route through external brokers, or use latency-arbitrage techniques. HuntersAlgo runs locally on NinjaTrader 8 against your own connection, so the orders are indistinguishable from manual fills from MFF's monitoring perspective. Verify the current published policy on myfundedfutures.com before relying on it; MFF updates rules quarterly.
Starter vs Expert — which evaluation works better with HuntersAlgo?
Starter is a one-step evaluation: hit the profit target without breaching the trailing drawdown or the daily loss limit, and you graduate. Expert is a two-step or multi-step path with tighter consistency rules but a larger funded account at the end. For a session-windowed automated strategy with a defined edge, Starter is the cleaner fit because the rules are mechanical and the path is shorter. Expert rewards traders willing to demonstrate consistency over more days, which HuntersAlgo can do, but the eval cost and time-to-funded are higher.
What is the MFF trailing drawdown rule?
MFF uses an end-of-day trailing drawdown on most plans: the drawdown follows your peak end-of-day balance, not your peak intraday equity. This is more forgiving than Apex's intraday trailing rule because mid-day spikes do not lock the drawdown level until the day closes. HunterAlgo's force-close-before-session-close behavior aligns well with this: the day's settled balance is what counts. Verify the specific rule on the plan you are subscribing to; MFF runs multiple drawdown variants across product lines.
How do I size HuntersAlgo for the MFF $50K Starter?
The $50K Starter has a $2,000 trailing drawdown and a $1,200 daily loss limit (verify current numbers on MFF's site). On NQ with HunterBreakOut's default 12-tick stop, three consecutive losses is $720 — within both limits. Two NQ contracts brings two consecutive losses to $480; three to $720. One contract is the safe starting point. Size up only after demonstrating the strategy survives a normal drawdown cluster on your specific connection.
What about news windows on MyFundedFutures?
MFF publishes a news policy that varies by plan. Some plans permit trading through high-impact releases; others ban it on funded accounts. The conservative configuration is to blackout the standard high-impact windows (CPI, NFP, FOMC rate decisions, ISM, retail sales) regardless of plan. HuntersAlgo session filters let you set five-minute blackouts in New York time around each release. Skipping news windows costs a few trades per month; getting caught on a 50-tick adverse spike costs the account.
Related reading
Try HuntersAlgo on your MFF Starter
3-day free trial via Whop. Configure for the Starter size you plan to run, paper-test on Sim101, then attempt the eval on the live connection. Cancel from your Whop dashboard before day 3 if it is not a fit.
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