Technical Analysis

While I know fundamentals provide context, I primarily use technical analysis to fine-tune trade execution and market timing. My approach is based on market structure theory, where I aim to identify key price levels, trends, and liquidity zones to anticipate how the market moves. I like to combine this view on market with technical indicators. This approach allow me to create a systematic and well structured entry/exit "playbook" when developing my strategies.

To improve decision-making, I like to incorporate multiple timeframes, aligning short-term execution with broader market structures. Beside price action, I closely track volume dynamics to assess market strength and confirm trends.

Key Elements of TA

Market Structure Theory – Identifying trends, breakouts, reversals, and liquidity zones to anticipate price movements.
Multi-Angle Price Analysis – Combining different indicators to assess price behavior and improve trade execution.
Volume Analysis – Evaluating trading volume to confirm price moves and detect hidden accumulation or distribution.
Timeframe Awareness – Primarily working with 15-minute and 1-hour charts, while also tracking higher timeframes for broader market context.

Indicators I like to work with & How I Use Them

MACD – Used for trend confirmation and detecting momentum shifts in trending markets.
Bollinger Bands – Helps track volatility situation, assisting in both breakout trading and mean-reversion strategies in ranging markets.
Moving Averages (SMA & EMA) – Used for identifying trend direction and dynamic support/resistance zones. I also use moving average crossovers to confirm momentum shifts.
Average True Range Trailing Stops – beside fix stop loss I like to use this indicator because it usually allow to set dynamic stop-loss levels based on market volatility.
On balance volume - maintains a cumulative running total of the amount of volume occurring on up periods compared to down periods.
Beside this Indicators I often work with others or different combinations to backtest them and check their performance so I can stay Agile with their implementation

Risk Management & Position Sizing

Stop Losses/ Profit takes – beside fixed stop losses and profit takes I like to use ATR to dynamically adjust my risk per trade based on market volatility in manner to let the good run and bad close as soon as possible.
Adaptive Exposure – In high-volatility environments, I tend to reduce exposure to avoid excessive risk, while in low-volatility conditions, I allow positions to develop further. I like to track the exposure of running strategy live and follow predefined scenarios to avoid emotional behavior.
Max Drawdown Control – I track consecutive losses and adjust position sizes accordingly to maintain a controlled risk profile. Every strategy go live has predefined max loss and I believe that disciplined exit within predefined risk parameters of each strategy is crucial to keep long-term profitability

Adapting to Different Market Conditions

Market Sentiment Overlay – While my approach is primarily technical, I integrate fundamental insights to filter false breakouts and enhance trade accuracy.
Trend-Following & Mean Reversion – I prefer trend-following strategies, but in sideways markets, I implement mean-reversion setups when they align with my overall risk and exposure framework.

Performance Tracking & Continuous Improvement

Backtesting & Data Analysis – Before any strategy goes live, I conduct historical data testing to determine potential risk parameters and reduce exposure to extreme market moves.
Performance Review – I continuously track win/loss ratios, risk-reward consistency, and execution efficiency to refine my strategies.
Iterative Optimization – I adjust technical parameters over time based on market shifts, volatility cycles, and evolving price behavior. However, I ensure sensitive implementation to avoid overfitting and maintain robustness in real-world trading.