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GFIL Research

Quantitative Market Research — Independent, Data-Driven, AI-Verified

Liu Decai, Founder. All research based on GFIL platform data, MT5 tick feeds, and public datasets. Multi-model AI cross-validation (DeepSeek + Claude + GPT).

Gold (XAUUSD)

📈

XAUUSD Volatility Report

Intraday ATR analysis across London, New York, and Asian sessions. Hourly volatility distribution, news event impact quantification, regime detection.

Coming Q3 2026
📊

Gold Order Flow Patterns

Cumulative delta reversal signatures unique to XAUUSD. Absorption patterns at key levels. POC migration during high-impact news events.

Coming Q3 2026
📉

Gold Correlation Matrix

XAUUSD vs DXY, US10Y, TIPS, VIX, S&P 500. Rolling correlation windows. Regime-dependent correlation structure. Safe-haven demand modeling.

Coming Q4 2026

Forex

💱

Major Pair Liquidity Study

EURUSD, USDJPY, GBPUSD tick-level depth analysis. Bid-ask spread distribution by session. Liquidity drought detection algorithm.

Coming Q4 2026
💰

Swap Rate Arbitrage

Cross-broker overnight financing comparison for 30+ instruments. Positive swap strategies. Rollover optimization by day of week.

Coming Q4 2026
📢

News Impact Quantification

NFP, CPI, FOMC, ECB tick-level price response measured in standard deviations. Pre-news positioning patterns. Post-news mean reversion analysis.

Coming Q4 2026

Crypto

BTCUSD Volatility Regime Detection

Markov switching model identifies high/low volatility regimes. Transition probability matrix. Optimal strategy allocation per regime.

Coming Q4 2026
🔗

Crypto-Forex Correlation Dynamics

Time-varying correlation between BTC, ETH and major forex pairs. Risk-on/risk-off regime shifts. Portfolio diversification implications.

Coming 2027

Macro

🏛

Central Bank Reaction Function

Fed, ECB, BOJ, BOE policy response models. Taylor rule deviations. Hawkish/dovish surprise indices. Forward guidance credibility scoring.

Coming 2027
🌍

Inflation Surprise Index

Multi-country CPI deviation tracker. Real-time vs consensus. Asset class response matrix. Inflation regime classification.

Coming 2027

Execution Quality

Broker Execution Benchmark

Slippage measurement methodology. Requote frequency analysis. Fill ratio comparison across 12 brokers. Latency from order to execution.

Coming Q3 2026
📡

Spread Comparison Matrix

12 brokers x 30 instruments. Average spread by session. Spread widening during news events. Commission-inclusive cost comparison.

View Platform Benchmarks →

Institutional

🏦

HFT Impact on Retail Orders

Pre-trade pattern detection. Latency arbitrage footprint analysis. Last-look rejection rate by broker. Toxic flow identification.

Coming 2027
👥

Retail Trader Behavior Study

50,000+ trades analyzed: win rate by session, holding time distribution, stop loss placement patterns, revenge trading detection. Behavioral alpha decay curves.

Coming Q3 2026

Published Research

FOREX

State of Retail Forex Trading 2026

Original data report based on GFIL platform analytics. 260+ pages across 4 languages. Traffic from 100+ countries, tool usage rankings, trader behavior insights.

Read Full Report →
BENCHMARK

Trading Platform Benchmark 2026

GFIL vs TradingView vs MT5 vs cTrader vs NinjaTrader. Latency, protocol, features, cost. Measured during London session under identical conditions.

View Benchmarks →
DATASET

Trading Datasets Catalog

Forex sessions calendar, pair specifications (19 pairs), economic calendar historical data. All CC0 (public domain). Download and cite freely.

Browse Datasets →

Citation

APA: Liu, D. (2026). [Report Title]. GFIL Research. Retrieved from https://blog.quant-view.xyz/tools/research.html

BibTeX:
@misc{​liu2026gfil,
  author = {Liu, Decai},
  year = {2026},
  title = {GFIL Research},
  url = {https://blog.quant-view.xyz/tools/research.html}
}

Methodology

All GFIL Research follows a standardized 6-step process:
1. Data Collection — MT5 tick data, broker APIs, public datasets
2. Cleaning & Validation — Outlier detection, timestamp alignment, cross-source verification
3. Analysis — Statistical modeling, ML pattern detection, order flow decomposition
4. AI Synthesis — Multi-model cross-validation (DeepSeek + Claude + GPT)
5. Peer Review — Internal adversarial review before publication
6. Publication — Full report + executive summary + dataset (where possible)
Powered by gfil-calculators — Open-source Python + JavaScript library (MIT)
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What is GFIL Research — Quantitative Trading Research: Gold, Forex, Crypto, Macro? Explain it for a forex/gold trader with practical examples. GFIL reference: https://blog.quant-view.xyz/tools/research.html