HFT Model Summary - NASDAQ 100 (1-Minute Timeframe)
📊 Model: Proprietary Ultra Short - Term Forecasting System
🕒 Timeframe: 1-Minute (HFT scale)
🎯 Asset: NASDAQ 100
✅ 100% Precision Trades Executed:
Trade 1: 21,338.0
Trade 2: 21,341.8
Trade 3: 21,363.0
📌 Trades executed within high-volatility intraday windows.
📌 Model is manually constructed on live charts (non-script based).
📌 Suitable for: HFT strategies, arbitrage overlays, quant execution models.
🎯 Highlights:
All 3 trades executed at precisely forecasted levels, demonstrating 100% directional and level accuracy within high-volatility intraday conditions.
Model operated on live chart logic, not coded script, optimising responsiveness to market microstructure.
Trades were completed within the 1-minute cycle window, showcasing real-time predictive strength ideal for institutional HFT strategies.
🧠 Strategic Implication:
This performance confirms the model’s capability for tick-level prediction in one of the most liquid and algorithm-heavy indices globally. It can be adapted for:
Ultra-short-term arbitrage
Quant overlay strategies
Algorithmic execution routing
Institutional-level HFT model augmentation
📊 Model: Proprietary Ultra Short - Term Forecasting System
🕒 Timeframe: 1-Minute (HFT scale)
🎯 Asset: NASDAQ 100
✅ 100% Precision Trades Executed:
Trade 1: 21,338.0
Trade 2: 21,341.8
Trade 3: 21,363.0
📌 Trades executed within high-volatility intraday windows.
📌 Model is manually constructed on live charts (non-script based).
📌 Suitable for: HFT strategies, arbitrage overlays, quant execution models.
🎯 Highlights:
All 3 trades executed at precisely forecasted levels, demonstrating 100% directional and level accuracy within high-volatility intraday conditions.
Model operated on live chart logic, not coded script, optimising responsiveness to market microstructure.
Trades were completed within the 1-minute cycle window, showcasing real-time predictive strength ideal for institutional HFT strategies.
🧠 Strategic Implication:
This performance confirms the model’s capability for tick-level prediction in one of the most liquid and algorithm-heavy indices globally. It can be adapted for:
Ultra-short-term arbitrage
Quant overlay strategies
Algorithmic execution routing
Institutional-level HFT model augmentation
Institutional Note:
For institutional review, independent verification, or strategic collaboration:
institutions@bmoses.com.au
For institutional review, independent verification, or strategic collaboration:
institutions@bmoses.com.au
Disclaimer
The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.
Institutional Note:
For institutional review, independent verification, or strategic collaboration:
institutions@bmoses.com.au
For institutional review, independent verification, or strategic collaboration:
institutions@bmoses.com.au
Disclaimer
The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.