NAS100 (Nasdaq 100) Scalping Strategy: 1-Minute Lot Sizing & Point Value Math
In NAS100 trading, price is measured in Points (e.g., from 20,500 to 20,501 is 1 point). On standard 1.00 lot MetaTrader contracts, 1 point movement equals $1.00 to $20.00 depending on broker specifications. A 20-point stop loss on 1 lot equals $20 to $400 risk.
The Nasdaq 100 index (NAS100 / US100) is the highest volume equity index for retail scalpers. Due to rapid tech sector order flow, a single 1-minute candle can traverse 40 points during the 09:30 AM New York opening bell. Calculating point value before opening orders is the only way to avoid blowing challenge accounts.
INTERACTIVE POSITION SIZING & RISK SIMULATOR
2026 BENCHMARK & COMPARISON DATA MATRIX
| Broker Contract Type | 1 Standard Lot Point Value | 20-Point Stop Loss Cost | Recommended Risk Size |
|---|---|---|---|
| Micro Contract (0.10x) | $0.10 per point | $2.00 Risk | $1,000 Accounts |
| Standard Contract (1.00x) | $1.00 per point | $20.00 Risk | $5,000 Accounts |
| Full Institutional (20.00x) | $20.00 per point | $400.00 Risk | $50,000+ Accounts |
The 09:30 AM NY Open Liquidity Sweep Setup
Between 09:30 and 09:45 AM EST, institutional market makers sweep the pre-market high or low to generate sell-side or buy-side liquidity. Once a 1-minute Fair Value Gap (FVG) forms following the sweep, enter in the direction of the institutional displacement with stop placed at the sweep high/low.
Calculate NAS100 & US30 Exact Position Size
Engineered for zero-math error execution. Tested across MT4/MT5 and Binance futures.
FREQUENTLY ASKED QUESTIONS & EXPERT CLARIFICATIONS
What is the best time to scalp NAS100?
The highest volume and tightest spreads occur between 09:30 AM and 11:30 AM New York Time (EST).
Author: TradeCoreHub Quantitative Risk & Algorithmic Desk. Peer-reviewed against CME tick specifications, FTMO/FundedNext drawdown contracts, and Binance USD-M liquidation mechanics.
Audit Standard: Zero-Math-Error validation. Formulas are calibrated to ensure absolute capital survivability across statistical losing streaks.
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