Artificial Superintelligence Alliance (FET/USDT) Forecast
Model: Proprietary Distribution Cycle Framework
Trading Venue: Binance
Ticker Symbol: FET
Currency Pair: USDT
Timeframe: 1D (with multi-year cycle projections)
Forecast Release: July 2025
🔹 Accumulation & Support Phase (2025)
Support Confirmation: $1.207
Final Accumulation Drop Level: $0.873
Price has successfully completed structural support testing, establishing a firm multi-year base. This sets the foundation for the next Advance Phase into 2026–2027, driven by a 3-year economic expansion cycle.
🔹 Advance Phase Distribution Levels (2025)
All levels are algorithmically derived based on internal wave structures and anticipated liquidity traps.
Price action through 2025 forms a stepped wedge structure supporting a cyclical breakout by Q4–Q1 2026.
Mid-Cycle Expansion Targets (2026)
[Level 1]: $6.851
[Level 2]: $7.536
[Level 3]: $12.111
[Level 4]: $13.389
The 2026 levels mark the second phase of distribution, aligning with expansion from institutional cycle flows.
Final Distribution Cycle (2027)
[Level 1]: $14.543
[Level 2]: $15.855
[Level 3]: $22.307
[Level 4]: $22.861, $24.595
$24.595 represents the terminal level for this 3-year expansion wave based on calculated cycle extensions and past fractal performance.
Final high may be accompanied by Repeat Cycle Drop Level: $1.322 post-peak.
📊 Model Insight:
This projection is the result of a 3-year economic cycle model, where prior cycle data (2022–2025) transitions into structural support for the next macro wave. The model anticipates liquidity-based climbs with key distribution checkpoints and embedded pullbacks to allow structured accumulation for institutional repositioning.
Disclaimer: The following forecast is derived from a proprietary, hand-crafted mathematical model developed independently over several years. It does not rely on traditional indicators, technical patterns, or third-party frameworks such as Elliott Wave Theory.
This model calculates price action based on distribution phases, economic timing cycles, and natural market imbalances.