Ultimate PropFirm Strategy - QuantAlgo is an intraday trading system that combines Smart Money Concepts with exponential moving averages and volume filters on the main price chart. It identifies trend setups using Break of Structure, Fair Value Gaps, and order
Strategy · Pine Script v6 · On the chart
Nasdaq Futures Research | Paper Only
This strategy implements quantitative intraday models tailored for NQ and MNQ futures contracts.
GitHub stars1on the repository
Pine versionv6current
Lines of code167
Settings23inputs
LicenceNone stated
Last update7 weeks ago5 Sep 2026
Add It to Your TradingView Chart
- 1Copy the scriptPress Copy script above. It reads the file straight from GitHub.
- 2Open the Pine EditorOpen a TradingView chart and choose Pine Editor at the bottom of the screen.
- 3Paste over the templateCreate a new strategy, select all of the template text and paste. Press Save and give it a name.
- 4Add it to the chartPress Add to chart. The trades and results appear in the Strategy Tester tab; adjust the settings with the gear icon.
Source Code
The code stays on GitHub. The author has not published this script under an open licence, so ForexR does not show its code. Copy script reads the file straight from GitHub into your clipboard, so you can still try it on your own chart. Ask the author before reusing the code anywhere else.
Overview
Traders can select between EMA Pullback, Opening Range Breakout, or Liquidity Sweep setups with user-defined New York trading sessions. It handles position sizing derived from monetary risk allowances and incorporates fixed, ATR, or swing-based stop losses with matched risk-reward targets. The script also monitors strict risk parameters including daily loss thresholds, total loss cutoffs, and maximum trade frequency per day directly on the price chart.
- Three selectable models: EMA Pullback, Opening Range, and Liquidity Sweep
- Configurable stop-loss methods using fixed points, ATR, or swing levels
- Account-level risk rules with daily drawdown limits and max trades
- Fixed commission and tick-slippage modeling for micro and E-mini contracts
- Session time filtering restricted to New York trading hours
Details
Published by
SathipopDev on GitHub
Type
Strategy, Pine Script v6
Draws
On the price chart
Category
Moving averages, Breakout, SMC / ICT / price action, Sessions & time
Markets
Indices
Timeframes
M1-M5, M15-H1
Risk Notes
No repainting, lookahead or stacked entries were found in its code or README. That says nothing about how well it works: test it first.
Settings
The inputs you can change from the gear icon on the chart. Defaults are the author's.
| Setting | Type | Default | Variable |
|---|---|---|---|
| Instrument | string | MNQ | instrument |
| Strategy | string | EMA Pullback | model |
| Long signals | bool | true | enableLong |
| Short signals | bool | true | enableShort |
| Signal session (New York) | session | 0930-1600 | sessionInput |
| Fast EMA | int | 9 | fastLength |
| Slow EMA | int | 21 | slowLength |
| Trend EMA | int | 50 | trendLength |
| Opening range minutes | int | 15 | orMinutes |
| Swing bars each side | int | 3 | swingN |
| Stop methodology | string | Fixed | stopMethod |
| Fixed stop points | float | 10 | fixedPoints |
Show all 23 settings
| Setting | Type | Default | Variable |
|---|---|---|---|
| ATR SMA period | int | 14 | atrLength |
| ATR multiplier | float | 1.5 | atrMult |
| Maximum risk USD (cost reserve included) | float | 50 | risk |
| Risk:Reward | float | 2 | rr |
| Daily realized loss allowance | float | 150 | dailyLimit |
| Static realized loss allowance | float | 1000 | totalLimit |
| Maximum entries per NY day | int | 3 | maxTrades |
| Maximum consecutive losses per NY day | int | 2 | maxLosses |
| Commission per side (match Properties) | float | 1 | commissionReserve |
| Slippage ticks (match Properties) | int | 1 | slipTicks |
| Enable setup alerts (manual paper research) | bool | false | enableAlerts |
Third-party code. ForexR did not write, test or endorse this script, and the summary above was generated automatically from its code and README. Indicators describe the past, and a strategy's backtest can look better than live trading, especially when a script repaints. Check it in the Strategy Tester and on a demo account before you rely on it.
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