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Pine Script Strategy for Funded Next Prop Firm

Updated June 2026 · ~10 min read

Funded Next has built a reputation for one of the cleanest funded trader programs among newer prop firms — static drawdown, a 90% profit split on their premium plan, and a straightforward two-phase evaluation. For Pine Script algo traders, the static drawdown structure makes Funded Next one of the best firms to start with.

Funded Next evaluation rules

Funded Next offers a two-phase evaluation (Express and Standard) and a one-phase option (Rapid). Rules below are approximate for their standard evaluation plans — verify at fundednext.com as terms evolve.

The two-phase structure for algo traders

Funded Next's two-phase evaluation works well for Pine Script strategies because:

• Phase 1 is the main challenge: 6% profit target in a reasonable time frame. Your strategy needs to perform consistently for 2-3 weeks here.
• Phase 2 is lower stakes: Only 3% profit target with the same rules. A strategy that passed Phase 1 should handle Phase 2 without significant risk.
• Both phases share the same drawdown limit: You don't reset the floor between phases, which is a favorable design for consistent strategies.

Key rules to code into your Pine Script strategy

Daily loss hard limit

$1,000 daily loss limit on a 50k account. Set your kill switch at $800. Build it as a variable that increments with every realized loss and checks open position unrealized loss. When dailyLoss >= 800, no new orders are placed for the rest of the session.

Minimum 5 trading days per phase

Your strategy must trade on at least 5 separate calendar days in each phase. If your setup is very selective — say, only 1-2 trades fire per week — you might need to run the eval over 3-4 weeks to log enough trading days. Ensure your session filter isn't so tight that the strategy goes dark for multiple consecutive days.

Weekend flatout

No positions over the weekend. Add a Friday 3:30 PM ET position-close trigger. On any day before a market holiday, trigger the same close.

ATR stop sizing

Funded Next's static drawdown means you can use a slightly wider ATR multiple for stops than you would on a trailing account. Recommended: 0.8-1.0x ATR on MES or MNQ. This reduces the number of times you get stopped out on noise, improving win rate on lower-volatility days.

Complete Pine Script code for Funded Next — v5

This strategy applies EMA trend direction with a VWAP filter — well-suited for Funded Next's static drawdown structure. The wider ATR stop (1.0x vs 0.75x on trailing accounts) takes advantage of the non-moving floor.

//@version=5
strategy("Funded Next — EMA + VWAP Algo", overlay=true,
         default_qty_type=strategy.fixed, default_qty_value=1)

// ── Funded Next 50k: static DD $2,500, daily loss $1,000 ──────────
// Kill at 80% of daily limit = $800
dailyLossLimit = input.float(800.0, "Kill Switch ($)")
atrMult        = input.float(1.0,   "ATR Stop Multiplier")  // wider: static DD
rrRatio        = input.float(1.5,   "Reward:Risk Ratio")

// ── session ────────────────────────────────────────────────────────
inSession = not na(time("1", "0930-1130:23456", "America/New_York"))

// ── daily kill switch ──────────────────────────────────────────────
isNewDay      = ta.change(time("D")) != 0
var float ds  = 0.0
ds           := isNewDay ? strategy.equity : ds
tradingHalted = math.min(0.0, strategy.equity - ds) <= -dailyLossLimit

// ── EMA + VWAP filter ─────────────────────────────────────────────
ema20   = ta.ema(close, 20)
ema50   = ta.ema(close, 50)
vwapVal = ta.vwap(hlc3)
atrVal  = ta.atr(14)

longCond  = ta.crossover(close, ema20)  and ema20 > ema50 and close > vwapVal and barstate.isconfirmed
shortCond = ta.crossunder(close, ema20) and ema20 < ema50 and close < vwapVal and barstate.isconfirmed

canTrade = inSession and not tradingHalted and strategy.position_size == 0

if longCond and canTrade
    sl = atrMult * atrVal
    strategy.entry("L", strategy.long)
    strategy.exit("L-x", "L", profit = sl * rrRatio / syminfo.mintick,
                              loss   = sl / syminfo.mintick)

if shortCond and canTrade
    sl = atrMult * atrVal
    strategy.entry("S", strategy.short)
    strategy.exit("S-x", "S", profit = sl * rrRatio / syminfo.mintick,
                              loss   = sl / syminfo.mintick)

// ── weekend / EOD flatout ──────────────────────────────────────────
fridayFlat = dayofweek == dayofweek.friday and
             not na(time("1", "1459-1501:6", "America/New_York"))
eodFlat    = not na(time("1", "1529-1531:23456", "America/New_York"))
if (fridayFlat or eodFlat) and strategy.position_size != 0
    strategy.close_all("Flatout")

Best contracts for Funded Next accounts

Why the 90% split matters for algo traders scaling accounts

Funded Next's 90% profit split (on their premium plan) becomes meaningful as you scale to multiple accounts or larger sizes. At 90%, a $3,000 profit month on a 50k funded account yields $2,700 — meaningfully better than an 80% split ($2,400) over the same results. For algo traders running the same strategy across multiple accounts simultaneously, the split difference compounds.

Funded Next vs TradeDay: which to choose?

Both use static drawdown and neither has a consistency rule. The main differences:

• Funded Next has a two-phase structure — more eval time before going funded, but lower Phase 2 target makes it achievable
• TradeDay is typically one phase — faster path to funded if your strategy performs
• Payout split: Funded Next offers 90% on premium, TradeDay is typically 80%
• Account sizes: Both offer similar ranges; verify current offerings directly on each site

If you want to run both simultaneously — one TradeDay and one Funded Next account — this is a common strategy among algo traders. You're running the same Pine Script strategy on two separate simulated accounts, with any losses capped at the eval fee rather than account capital.