-
The secrets of asset correlation in trading: discover practical Python code, real-world data analysis, rolling correlations, and VIX insights to optimize your portfolio, manage risk, and spot market regime shifts—essential strategies for smarter investing and trading success
-
Discover how to build a real-time BTC/USD trading dashboard using Python Dash, WebSockets, and VWAP. Learn to visualize live trades, calculate dynamic indicators, and create interactive charts—perfect for traders and developers seeking actionable insights and hands-on coding experience.
-
Unlock the power of Excel for backtesting trading strategies—no coding required. Learn step-by-step how to import historical data with EODHD, simulate trades using moving averages, and build a dynamic dashboard to visualize and compare your strategy’s real performance.
-
Consistent Forex Profits: Discover How the London Breakout Strategy Captures Volatility, Optimizes Risk-Reward, and Delivers Robust Returns—Complete With Python Backtesting, Real Data Insights, and Actionable Tips to Boost Your Trading Edge and Performance
-
Get free, high-frequency historical market data for your trading strategies using MetaTrader 5 and Python—learn step-by-step how to download, process, and resample millions of OHLC candles and tick data for robust backtesting and advanced financial analysis.
-
The secrets of VWAP in trading! Discover how to calculate, visualize, and apply five powerful VWAP strategies—continuous, daily reset, rolling, moving, and anchored—using Python code. Elevate your trading edge with actionable insights and real-world examples.
-
Discover the secrets of optimal asset allocation with a data-driven Python approach—discover how stocks, bonds, commodities, real estate, and cash perform across growth, balanced, and income strategies, and learn which combinations maximize returns while minimizing risk for long-term investing success.
-
Boost Python API Performance by 95% with requests_cache: Slash Costs, Bypass Rate Limits, and Accelerate Development by Caching Responses—Discover Easy Setup, Smart Expiry Tips, and Powerful Tricks to Optimize Your API Workflows Without Sacrificing Live Data Accuracy.
-
Unlock the secrets of effective trading strategy evaluation by learning how to benchmark your Python-driven models against market indices. Discover practical metrics—risk exposure, drawdown, capital efficiency, and more—to optimize returns and manage risk like a professional trader.
-
Discover which trend-following indicators—Moving Averages, MACD, RSI, Bollinger Bands, ADX, and Ichimoku—deliver the best returns and risk profiles for stocks like SPY, AAPL, AMZN, GOOG, and TSLA. See Python code, performance stats, and actionable insights for traders.
Hello,
I’m Fil the Greek
also known as Filippos! As a busines and data analyst with a passion for numbers, algorithms, and trading strategies, I combine Python-powered insights with real-world market analysis to uncover trends and opportunities.
Let’s connect
Categories
- Microblog (1)
- Other (2)
- Python (16)
- Risk Management (2)
- Technical Analysis (6)
- Trading Strategies (3)