My motto in Life
"A meta condition. Do it solely expecting to lose, and consciously focus on doing your best while being unconscious of winning."
"Learning is a great foundation of success; you'll be able to project what you want to do in life. Here's the catch: Learning does not guarantee genuine long/short-term success; Your goal does not exist and will never exist in reality unless you keep building to bring that into the present. You have to keep Building while Thinking."
"What would you do if you were in a field of randomness, uncertainty, and incomplete information? That is right. Welcome to Trading, where you yourself must develop your own optimal way of trading that consistently generates profitable EV, despite learning valuable foundations from others."
Mistakes are inevitable. You just need to create/build achievements that outweigh your flaws.
Wildmind Quasars LLC's product motto
Trade no emotion. Trade without discretionary decisions. Sleeping with the Bot being in action. No pain, no stress, just automated trading.
Hierarchy of Priority
Live-market applicable methodologies
Quantitative Modeling
Non OCHL&time-based Strategies
Robustness
Diversification
Risk management
High RRR, and high winrate strategy
Walkforward Optimization, Overfitted out-of-sample data results is good
The company is still premature. Some strategies will be Open source soon.
"Simplicity Effectivity & Clarity Complexity"
Wildmind Quasars LLC © 2025
| Feature/Aspect | Pine Script | Python | MQL5 |
|---|---|---|---|
| Description | Domain-specific language for creating trading indicators and strategies on TradingView. | General-purpose programming language used for web development, data analysis, AI, automation, and more. | Domain-specific, C++-like language for automated trading, indicators and scripts on MetaTrader 5 (EAs, custom indicators, tools). |
| Primary Use | Financial charting, indicators, alerts, backtesting strategies. | Wide range: data analysis, AI/ML, web development, automation, finance, etc. | Automated trading (Expert Advisors), custom indicators, order management, and trading utilities. |
| Execution Model | Runs bar by bar on time series data; series variables track historical values automatically. | Procedural, object-oriented, or functional execution; manual handling of time series required. | Event-driven: OnInit/OnDeinit/OnTick/OnTimer etc.; executes per tick and can process bar data — ideal for live trading. |
| Data Handling | Built-in support for price series, OHLC data, and indicators. | Requires libraries like Pandas or NumPy for structured data and time series. | Built-in market data functions (CopyRates, CopyTicks, series arrays); supports arrays, structures, and low-level access to history. |
| Plotting & Visualization | Limited to chart overlays, indicators, and shapes on TradingView. | Full-featured plotting with libraries like Matplotlib, Plotly, Seaborn. | Chart objects, graphical primitives and indicator buffers for on-chart visualization; less flexible than general plotting libraries. |
| External Integration | No direct access to files, APIs, or databases; restricted to TradingView. | Can integrate with databases, web APIs, files, cloud services, and more. | Can read/write files, use WebRequest for HTTP, and call DLLs (subject to platform security settings); integration is possible but sandboxed. |
| Libraries & Extensibility | Cannot import external libraries; only built-in Pine functions. | Vast ecosystem of libraries for almost any task. | Standard MQL5 library, user include files, and ability to call external DLLs for extended functionality (with caution). |
| Backtesting & Strategy | Native support for strategy testing, alerts, and position sizing. | Requires manual coding or external frameworks for backtesting and trading simulations. | Robust Strategy Tester with tick/real ticks simulation, optimization, multi-threading and walk-forward testing built into MT5. |
| Variables & State | Series variables automatically track historical values; supports mutable and immutable variables. | Variables are mutable; history tracking must be implemented manually. | Standard variables, static/global scope, object-oriented support (classes), and persistent storage via global variables/files. |
| Loops & Control Flow | Limited support for loops; vectorized operations preferred. | Full support for loops, recursion, comprehensions, and control structures. | Full control flow and loops; supports structured, procedural and object-oriented paradigms (C++-like syntax). |
| Learning Curve | Easier for traders due to focused domain and simple syntax. | Steeper learning curve but highly versatile; large community support. | Steeper if you lack C/C++ experience; requires knowledge of trading concepts and platform specifics (order types, symbols, margins). |
| Performance | Optimized for chart calculations; efficient for time series. | Performance depends on implementation and libraries; may require optimization for large datasets. | Compiled to native code (high runtime performance), designed for real-time trading with low latency. |
| Limitations | Restricted to TradingView platform; cannot perform general computing tasks. | Not inherently designed for trading platforms; requires additional coding for finance-specific tasks. | Tied to MetaTrader 5 platform and broker environment; some operations (DLLs, WebRequest) subject to security and broker settings. |