1. Futures Day Trading

Intraday trading of ES/NQ/GC with leverage and tight stops. Entry/exit within the same trading day.

▸ At a Glance

📋 Setup

Hold duration minutes to hoursStop max 1RDaily loss limit after 2 losers

⚙️ Mgmt

Max 1R per tradedaily loss limit after 2 losersflat by closemax 3 trades/day

🎯 Target

Intraday profit with leverageno overnight riskdisciplined 1R payoff

Structure:

Pre-Market preparation: Levels, News, Market Internals
Setup selection: ORB, VWAP-Bounce, Levels test
Strict risk: max 1R per trade, max 3 trades/day
Flat-by-Close rule — no overnight risk

✅ High leverage enables large profits
✅ No overnight risk
✅ Liquidity always available

⚠️ Very high complexity
⚠️ Psychologically exhausting
⚠️ Fixed costs (data, platform) high

2. Forex Carry & Trend Following

Long-term holding of currency pairs with interest rate differential (carry) or trend following on major pairs.

▸ At a Glance

📋 Setup

Carry: Interest diff. > 2%Trend: 200 MA biasStop 100–200 pips

⚙️ Mgmt

Stop 100–200 pips (wide volatility)keep position smallaccount for rollover interestavoid crisis events

🎯 Target

Carry pays dailytrend following on major pairsexit on carry unwind or trend break

Structure:

Carry: Long high-yield currency vs. Short low-yield (e.g. AUDJPY)
Trend following: 200-day MA as filter, MACD/ADX as trigger
Wide stops (forex volatility), small position size
Monitor daily rollover rates

✅ Carry pays daily
✅ Diversification from equities portfolio
✅ Interest rate cycle edge

⚠️ Tail risks during crisis events (carry unwinds)
⚠️ High volatility during news phases
⚠️ Spreads on exotic pairs expensive

3. Commodity Calendar / Inter-Month Spread

Long/Short different delivery months of the same commodity future — trade the shape of the forward curve (Contango vs. Backwardation) rather than price direction.

Contango: distant delivery months more expensive (rising curve). Backwardation is the mirror — distant months cheaper.

Forward Curve	Shape	Typical Spread
Contango	distant months more expensive (rising)	Short far · Long near
Backwardation	distant months cheaper (falling)	Long far · Short near
Driver	Storage costs · carry · seasonality	Spread margin vs. outright

▸ At a Glance

📋 Setup

Same commodity, two delivery monthsSpread marginHold period weeksseasonal bias

⚙️ Mgmt

Roll before first notice dayTight spread stop (spread points)Respect seasonal windowCheck liquidity of both months

🎯 Target

Capture forward curve convergence/divergencereduced marginlower outright risk than naked future

Structure:

Check forward curve: Contango (distant months more expensive) or Backwardation (distant months cheaper)
Set up inter-month spread: e.g. Long near month / Short far month (or vice versa)
Evaluate seasonal pattern + storage costs/carry as spread drivers
Roll before first notice day; use spread margin (significantly below outright margin)

✅ Reduced spread margin
✅ Lower directional risk than outright
✅ Seasonally often well-forecastable

⚠️ Roll risk (first notice / delivery)
⚠️ Seasonality is essential — if the pattern breaks, the spread flips
⚠️ Two contracts = two commissions

4. Seasonality Futures

Trade recurring seasonal patterns — natural gas winter demand, grain harvest cycle, gold strength in Q1. Statistical recurrence as edge.

Stylized natural gas seasonal curve: summer low, rise into winter demand. Enter/exit within the seasonal window by calendar, not gut feeling.

▸ At a Glance

📋 Setup

Seasonal window with min. 15 yrs historyHit rate above 70%Stop on pattern breakPosition size by vol

⚙️ Mgmt

Window discipline (entry/exit by calendar, not gut feeling)Stop on structural breakMind sample biasWatch for news overrides

🎯 Target

Capture the average seasonal moveclearly defined time windowdiversified vs. equity portfolio

Structure:

Check seasonal chart over at least 10–15 years (hit rate + average move)
Select seasonal window + asset (e.g. natural gas long Oct→Jan, grains short after harvest)
Enter at window start, exit at window end — do not wait for perfect timing
Stop against structural break (weather/geopolitics overrides seasonality)

✅ Clearly defined time frame
✅ Statistically backtestable
✅ Diversified (low equity correlation)

⚠️ Patterns break with structural change
⚠️ Sample bias (overfitting historical coincidences)
⚠️ Weather/geopolitics overrides seasonality

5. Forex Grid Trading

Place buy/sell orders at fixed intervals above and below the price (grid). Profits from oscillation in sideways phases — no directional forecast needed.

Price oscillates in a range between fixed grid levels. Buy limits below, sell limits above — each level captures one grid-interval profit.

▸ At a Glance

📋 Setup

Range marketfixed grid interval (pips)equal lot size per levelhard equity stopsufficient free margin

⚙️ Mgmt

Equity stop mandatory (trend = grid fills up)no martingale doublingclose grid immediately on trend breakoutkeep large margin buffer

🎯 Target

Skim oscillation in rangesautomatablemany small gains per level

Structure:

Identify range market (no strong trend, clear upper/lower boundary)
Define grid interval + lot size per level (e.g. every 20 pips)
Stack buy limits below, sell limits above the current price
Take-profit per level = 1 grid interval; hard equity stop mandatory

✅ No directional forecast needed
✅ Fully automatable
✅ Works well in sideways markets

⚠️ High risk in strong trend (grid fills up, cumulative loss)
⚠️ Margin call risk
⚠️ Ruin-prone without a hard equity stop

Seasonal Window	Asset	Typical Direction
Oct–Jan	Natural Gas	📈 long (winter demand)
After harvest	Grains	📉 short (supply pressure)
Q1	Gold	📈 long (demand season)

Parameter	Example
Grid interval	20 pips
Lot per level	equal (no martingale)
Take-profit	1 grid interval per level
Equity stop	Mandatory — trend = grid fills up

🛢 Futures & Forex

Ebben a fejezetben

1. Futures Day Trading

2. Forex Carry & Trend Following

3. Commodity Calendar / Inter-Month Spread

4. Seasonality Futures

5. Forex Grid Trading