The research direction
Research the combination of technical indicators, liquidity analysis, order flow and machine learning in simulations and analytical tools. This is a research field, not a claim that automated trading is profitable.
Core questions
- Which signals add explanatory value after fees, slippage and changing market conditions are considered?
- How should different time horizons and uncertainty be represented in a research workflow?
Mechanisms and approaches
- VWAP and Bollinger Bands
- SVP / VPVR / POC
- Mean reversion
- Trend following
- Liquidation cascades
- ZigZag++ [LD]
- Multi-timeframe analysis
- CVD and volume delta
- Liquidity sweeps
- Fair Value Gaps and Order Blocks
- RSI divergence
- Machine learning pattern recognition
- Backtesting
Potential applications and outcomes
- Signal research modules
- Backtesting frameworks
- Market structure dashboards
- Simulation and decision-support tools
What needs validation
Require reproducible tests, out-of-sample evaluation and explicit cost and risk assumptions. This does not constitute financial advice or offer guarantees of profitability.
Connections
- ZigZag++
- Spatial Market Terminal
- Research links with Marketrons / MunaSignal
Research context
Market studies focus on analysis, visualization and simulation. They do not constitute investment advice or imply guaranteed returns.