Combines temporal patterns with price structure for precision entries
| Strategy Type | Time-Based Price Analysis System |
| Market Outlook | Combines temporal patterns with price structure for precision entries |
| Risk Profile | Defined by time windows and price levels |
| Reward Profile | Targets based on time projections and price objectives |
| Time Horizon | Intraday to swing trading (minutes to weeks) |
| Best Markets | All liquid futures with consistent time patterns |
| Signal Type | Time cycle confluence, session timing, and price-time squares |
| Market Hours | SPI 200: 5:10 PM - 7:00 AM, 9:50 AM - 4:30 PM AEST |
| Critical Time Windows | 9:50 AM - 10:20 AM (initial volatility) • 10:30 AM - 11:30 AM (trend establishment) • 12:00 PM - 2:00 PM (reduced activity) • 2:30 PM - 3:30 PM (renewed momentum) • 4:00 PM - 4:30 PM (position squaring) • 11:30 PM - 12:30 AM (ES/NQ open) |
| Best Underlyings | S&P 500 E-mini - clearest time patterns • Nasdaq 100 - tech-driven timing • Crude Oil - inventory/OPEC timing • Gold - session overlap timing • SPI 200 - ASX session timing • AUD/USD futures - forex session timing |
| Timeframe Recommendations | Precise time entries • Standard intraday timing • Swing entry timing • Cycle analysis • Major time cycles |
| Time Concepts | Specific times within trading day • Recurring temporal patterns • Gann-style equilibrium • Fib ratios applied to time • Calendar-based tendencies |
| Common Parameters | Bars/periods between turns • Key session times • 0.382, 0.618, 1.0, 1.618 • 1×1, 2×1, 1×2 time-price |
| Futures Considerations | Overnight vs day session • Contract expiration effects • Scheduled release times • Multi-market timing |
Neither is more important alone - they work together. Gann said 'time is more important than price' to emphasize its neglected importance. Best results come from combining both: price tells you where, time tells you when.
Mark significant highs and lows on your chart. Count bars between lows and between highs. Look for recurring patterns. If lows occur every 35-40 bars, you've found a cycle. Track reliability over multiple occurrences.
Best times vary by market. For ES: RTH open (11:30 PM AEST) and afternoon session (3:00 AM). For SPI: Mid-morning (10:20-11:30 AM) and afternoon (2:00-3:30 PM). Avoid lunch lulls.
Yes, but reliability varies. Time of day patterns work best intraday. Cycles work on all timeframes but need sufficient data. Calendar patterns (day of week, monthly) apply to daily and above. Match analysis to your trading timeframe.
Set a time limit for your trade based on expected move duration. If successful trades typically work within 30 minutes but yours hasn't moved in 45 minutes, exit. This frees capital for better opportunities.
Score each factor: cycles (+2), time zones (+1-2), Fib time (+1.5), calendar (+1). Add up the score. Higher scores = higher confidence. Trade only when multiple factors align (score 4+).
When short and long cycles conflict (one projecting high, other projecting low), reduce size or skip the trade. Best trades occur when cycles align. Conflicting cycles indicate choppy conditions.
Fib time alone is moderately reliable (~55%). Combined with price Fib levels and other time factors, reliability increases to 60-65%. Use windows (±10-15% of projection) rather than exact times.
Each session (Asia, Europe, US) has different characteristics. Map volatility and turn patterns for your session. US session is most liquid with clearest patterns. Adjust expectations for overnight/off-peak sessions.
Generally avoid 15 minutes before and after major releases. Volatility spikes are unpredictable. If you trade releases, use 50% size and 2× normal stops. Or wait for dust to settle and trade the established direction.
Define price/time equivalence (e.g., 5 points = 1 bar). From significant low, project 1×1 angle (price rising 5 pts per bar). When price movement equals time movement, expect potential turn. Use for S/R and turn timing.
Cycle inversion: cycle produces opposite turn than expected. If expecting low but price makes high at cycle time, cycle inverted. Usually occurs in strong trends. Recognize by price not being at expected extreme.
Yes - cycle detection, time zone identification, confluence scoring, and alert generation can be automated. Interpretation and context judgment benefit from discretion. Best: automated scanning + discretionary confirmation.
Backtest: log all significant turns and their times over 20+ sessions. Calculate turn frequency at each 15-minute window. Strong zones have >50% turn rate. Moderate: 30-50%. Update regularly as market character changes.
Harmonic patterns have time components. AB=CD should have equal time legs. Gartley AB time = 0.618-0.786 of XA. If price pattern completes but time doesn't match, probability decreases. Use time for confirmation.
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