Futures Trading: The Journaling Guide

By Hunter, Founder of ohYaaa ·

Futures trading adds complexity that generic journals ignore — tick values, contract multipliers, rolling expirations, and overnight sessions. This guide covers how to effectively journal futures trades so you can identify your edge across instruments and sessions.

Understanding Tick Values and P&L

In futures trading, your P&L is not calculated from share price differences -- it is calculated from ticks. Every futures contract has a defined tick size (the minimum price movement) and a tick value (the dollar amount that movement represents per contract). Misunderstanding this is the fastest way to blow up a journal's accuracy.

The Tick Value Formula

P&L per contract = (Exit Price - Entry Price) / Tick Size x Tick Value. For example, on the ES (E-mini S&P 500), the tick size is 0.25 points and each tick is worth $12.50. If you buy 1 contract at 5200.00 and sell at 5204.00, that is a 16-tick move: 16 x $12.50 = $200 profit per contract. With 3 contracts, that is $600.

Why This Matters for Journaling

Most generic trading journals and spreadsheets calculate P&L as (exit - entry) x shares. That formula is wrong for futures. A 4-point move on ES is $200, but a 4-point move on NQ is $80. If your journal does not know the tick value for each instrument, every P&L number is wrong, and your entire analytics layer -- win rate by dollar amount, profit factor, average win -- becomes unreliable.

ohYaaa handles this automatically. When you select a futures instrument, the tick size and tick value are pre-loaded. You enter your entry price, exit price, and number of contracts, and the P&L is calculated correctly every time. No formulas to build or maintain.

Points vs. Ticks vs. Dollars

Futures traders often think in different units depending on the instrument. ES traders typically think in points (1 point = 4 ticks = $50). NQ traders also use points (1 point = 4 ticks = $20). CL (crude oil) traders think in ticks directly (1 tick = $10). Your journal should store the raw prices and calculate everything else. Avoid manually converting -- that is where errors creep in. When you review performance on the dashboard, you want dollar-denominated P&L so you can compare across instruments on an equal basis.

Commissions and Fees

Futures commissions typically run $3.50-$5.00 per contract per round turn (in and out), depending on your broker. On a 1-lot ES trade that nets 2 points ($100), a $4.50 commission is 4.5% of your gross profit. On micro contracts (MES at $1.25 per tick), commissions eat an even larger percentage. Track your per-contract commission rate in your journal and factor it into your net P&L. Over 500 trades per year, commissions can add up to $2,000-$5,000, which is the difference between profitable and breakeven for many futures traders.

Common Futures Contracts and Specs

Every futures contract has unique specifications that determine how much money each price movement represents. Knowing these specs by heart is essential for risk management, position sizing, and accurate journaling. Here are the contracts most actively traded by retail day traders.

Symbol Name Exchange Tick Size Tick Value Point Value
ES E-mini S&P 500 CME 0.25 $12.50 $50.00
NQ E-mini Nasdaq 100 CME 0.25 $5.00 $20.00
YM E-mini Dow CBOT 1.00 $5.00 $5.00
RTY E-mini Russell 2000 CME 0.10 $5.00 $50.00
CL Crude Oil NYMEX 0.01 $10.00 $1,000.00
GC Gold COMEX 0.10 $10.00 $100.00

Micro Contracts

Each of these contracts also has a micro version (MES, MNQ, MYM, M2K, MCL, MGC) at 1/10th the tick value. Micro contracts are ideal for newer traders, those building a track record, or anyone who wants to scale in with precision. MES has a tick value of $1.25, meaning a 4-point move is $5 per contract instead of $50. Many prop firm evaluations now accept micro contracts, making them a practical choice for serious futures traders building consistency.

Why Specs Matter for Your Journal

When your journal knows the contract specs, everything downstream is accurate: P&L calculation, risk per trade in dollars, R-multiples, and aggregated performance metrics. If you trade multiple instruments -- say ES in the morning session and CL in the afternoon -- your journal needs to apply the correct tick value to each trade independently. ohYaaa pre-loads specs for all major futures contracts, so you never have to look up a tick value or build a VLOOKUP formula again.

Contract Expirations and Rollovers

Futures contracts expire quarterly (March, June, September, December for equity index futures) or monthly (CL, GC). Most retail traders roll to the next contract 1-2 weeks before expiration when volume shifts. Your journal should note which contract month you are trading -- a trade on ESH6 (March 2026) and ESM6 (June 2026) may have different prices for the same underlying level due to contango or backwardation. Track the contract month to keep your data clean during roll periods.

Tracking Performance by Instrument

If you trade more than one futures instrument, you need to know which ones are making you money and which ones are costing you. Aggregate P&L hides the truth -- a trader who is +$3,000 on ES and -$2,500 on CL looks profitable overall, but they would be better off dropping crude oil entirely.

Per-Instrument Metrics That Matter

For each instrument you trade, track these metrics separately:

  • Win rate -- Your percentage of profitable trades. Compare this across instruments. If your ES win rate is 58% but your NQ win rate is 41%, that gap demands investigation.
  • Profit factor -- Gross profits divided by gross losses. A profit factor above 1.5 indicates a healthy edge. Below 1.0 means you are losing money on that instrument.
  • Average winner vs. average loser -- The ratio tells you if your risk/reward is working. A 1:1 ratio with a 55% win rate is solid. A 1:2 ratio means you need 67%+ to break even.
  • Trade count -- You need at least 30-50 trades on an instrument before the statistics are meaningful. Five trades on GC tells you nothing.

Discovering Your Best Instrument

Most traders perform better on 1-2 instruments than the rest. The reasons are often surprising: maybe you trade CL well because its volatility matches your risk tolerance, or maybe you struggle with NQ because the wider ranges trigger your fear of loss. The only way to know is to let the data speak. The ohYaaa dashboard breaks down all metrics by instrument automatically, so you can compare side-by-side after your first month of logging.

When to Drop an Instrument

If an instrument shows a profit factor below 1.0 after 50+ trades, it is actively hurting your account. Give yourself 30 days of focused improvement (reviewing those specific trades, adjusting your approach), and if the numbers do not improve, stop trading it. There is no rule that says you have to trade everything. The best futures traders often specialize in a single instrument and know its personality -- its volume profile, its typical daily range, its behavior around economic releases -- better than anyone.

Normalizing Across Instruments

Because tick values differ across contracts, comparing raw P&L is misleading. A $500 day on ES (10 points) represents a moderate move, while $500 on CL (50 ticks) is a significant move. For apples-to-apples comparison, use R-multiples -- how many units of risk you captured per trade. If your standard risk on ES is $200 and on CL is $300, a $400 ES winner is 2R and a $600 CL winner is also 2R. R-multiples let you compare performance across any instrument on equal footing. Set your goals in R-multiples rather than dollars for this reason.

Session-Based Analysis (RTH vs ETH)

Futures markets trade nearly 23 hours per day, but not all hours are created equal. The distinction between Regular Trading Hours (RTH) and Extended/Electronic Trading Hours (ETH) is critical for your journal because the market behaves completely differently in each session, and your performance likely does too.

RTH vs. ETH: The Basics

For equity index futures (ES, NQ, YM, RTY), RTH runs from 9:30 AM to 4:00 PM Eastern -- the same hours the stock market is open. ETH covers everything else: the overnight session from 6:00 PM to 9:30 AM Eastern. During RTH, volume is 3-5x higher than ETH, spreads are tighter, and institutional order flow drives more predictable price action. ETH is thinner, choppier, and dominated by algorithmic and overseas flow.

Why Session Tagging Matters

Many traders discover that their entire edge exists within a specific time window. A common pattern: profitable during the first 90 minutes of RTH (9:30-11:00 AM), breakeven during midday, and net negative during ETH. Without session tags in your journal, this insight is invisible. You see an overall 52% win rate and think you are marginally profitable everywhere, when in reality you are very profitable in one window and bleeding in another.

Key Sessions to Track

  • Pre-market / Asia session (6:00 PM - 2:00 AM ET) -- Low volume, range-bound unless major news breaks. Many retail traders lose money here chasing moves that lack follow-through.
  • London session (2:00 AM - 5:00 AM ET) -- Volume picks up. European institutional flow can set the tone for the US open.
  • Pre-RTH (5:00 AM - 9:30 AM ET) -- US pre-market. Economic data releases (8:30 AM ET) create volatility spikes that catch unprepared traders.
  • RTH open (9:30 - 11:00 AM ET) -- The highest-volume, highest-opportunity window. Most day traders make or lose the majority of their daily P&L here.
  • RTH midday (11:00 AM - 2:00 PM ET) -- Volume drops, ranges compress. The "lunchtime chop" is notorious for stop-hunting and false breakouts.
  • RTH close (2:00 - 4:00 PM ET) -- Volume resurges as institutional rebalancing kicks in. The last 30 minutes can be as volatile as the open.

Using Session Data to Optimize

Log the time of every trade entry in your journal. After 2-3 months, use the analytics dashboard to break down your P&L by time window. If a session is consistently unprofitable, the simplest fix is to stop trading it. This one adjustment -- cutting unprofitable hours -- is responsible for more turnarounds than any strategy change. Use the calendar view to visualize which days and times produce your best results, and build your trading schedule around the data.

Managing Multiple Contracts

Scaling from 1 contract to 2, 3, or more is one of the most significant transitions in a futures trader's career. It changes your P&L volatility, your psychology, and how you manage trades. Your journal needs to capture this complexity accurately or your data becomes misleading.

Position Sizing in Your Journal

Always log the exact number of contracts for every trade. This sounds obvious, but many traders log "ES long, +4 points" without specifying whether that was 1 lot ($200) or 5 lots ($1,000). Your per-trade P&L, average winner, and risk metrics all depend on accurate contract counts. In ohYaaa, the contract count is a required field, and all downstream calculations use it automatically.

Scaling In and Scaling Out

Many futures traders add to positions (scaling in) or take partial profits (scaling out). This creates a journaling challenge: is a trade where you bought 1 at 5200, added 1 at 5198, and exited all at 5206 one trade or two? The cleanest approach is to log it as a single trade with your average entry. In this example: 2 contracts, average entry 5199, exit 5206, P&L = 7 points x $50 x 2 = $700. If you scale out at different prices, use the average exit. Consistency in how you log partials prevents your win rate and average trade metrics from getting skewed.

When to Add Contracts

The data-driven approach to sizing up: only add a contract when your journal proves you have earned it. A reasonable threshold is 50+ trades on a specific setup with a profit factor above 1.5 and a win rate above 50%. If your VWAP Bounce setup on ES has those numbers across 2 months of data, adding 1 contract is a calculated decision, not a gamble. Review your per-setup metrics on the dashboard before making any sizing changes.

The Psychology of Multiple Contracts

Going from 1 to 2 contracts doubles your dollar P&L -- both wins and losses. Many traders are psychologically prepared for bigger wins but not bigger losses. A common pattern: a trader sizes up, takes a normal 2-point loss on ES that is now $200 instead of $100, panics, and revenge trades to recover. Your journal should have a note field where you record how you felt during multi-contract trades. If you notice increased anxiety or rule-breaking after sizing up, drop back down. There is no shame in trading 1 contract profitably. Build the psychological resilience first, then size up again when the data and your emotional readiness align.

Tracking Contract Size Over Time

Your journal should make it easy to see how your position sizing has evolved. Are you trading more contracts during losing streaks (a red flag for revenge trading) or sizing up gradually during winning periods (the professional approach)? Plotting your average contract size per week alongside your P&L curve reveals whether your sizing decisions are helping or hurting. Set a goal around maximum contract size per trade, and let your journal hold you accountable.

Futures-Specific Setups to Track

Futures markets have unique characteristics -- volume profile, overnight gaps, session opens -- that create setups you will not find in equities or forex. Tagging these setups correctly in your journal is how you discover which futures-specific patterns actually make you money.

Opening Range Breakout (ORB)

The first 5, 15, or 30 minutes of RTH establish a range. A breakout above or below that range, confirmed by volume, triggers an entry. ORB setups on ES and NQ are among the most traded futures patterns. In your journal, tag the ORB timeframe (5-min vs. 15-min vs. 30-min) so you can compare which duration produces the best results for your style. Many traders find that the 15-minute ORB has the highest win rate because it filters out the initial noise of the open.

VWAP Reclaim / Rejection

VWAP (Volume-Weighted Average Price) is the institutional benchmark. When price pulls back to VWAP and bounces, that is a VWAP Reclaim. When price rallies into VWAP and fails, that is a VWAP Rejection. These are bread-and-butter setups for ES and NQ day traders. Tag whether the trade was a reclaim or rejection, and note whether it occurred during the first hour (higher probability) or midday (lower probability).

Gap Fill

When futures open RTH at a different price than the prior RTH close, the difference is a gap. Statistically, ES gaps fill (price returns to the prior close) approximately 70% of the time on gaps under 10 points. Larger gaps fill less frequently. Track gap direction, gap size in points, and whether the fill completed. Over 50+ gap trades, your journal data will reveal your optimal gap size range and the time of day fills typically complete.

Failed Breakdown / Failed Breakout

Price breaks a key level, traps traders on the wrong side, then reverses sharply. Failed breakdowns in futures are powerful because the trapped longs or shorts scramble to exit, fueling momentum in the opposite direction. Tag these separately from genuine breakout trades. If your data shows that failed breakouts on NQ have a 65% win rate while genuine breakouts sit at 45%, that is a clear signal to shift your focus.

Initial Balance Extension

The Initial Balance (IB) is the price range established during the first hour of RTH (9:30-10:30 AM ET). When price extends beyond the IB high or low, it often signals directional commitment for the day. Market Profile practitioners have used this concept for decades. In your journal, note the IB range, the direction of extension, and whether the extension held through the close. This setup is particularly useful on trend days, which occur roughly 15-20% of trading sessions.

Building Your Futures Setup Library

Start with 2-3 of the setups above and trade them exclusively for one month. Tag every trade with the specific setup name in ohYaaa. At the end of the month, compare win rate, profit factor, and average R across your setups. Keep the winners, refine the marginal ones, and cut anything with a profit factor below 1.0. This iterative process -- track, measure, optimize -- is how you build a personalized futures playbook that is backed by your own data. See the full setup tracking guide for a deeper framework on this process.

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