Pravial Market Dynamics
- Experts
- Joaquin Ezequiel Velazquez
- Version: 1.23
- Activations: 10
Pravial Market Dynamics is a Multi-Asset, Multi-Market professional Expert Advisor for MetaTrader 5, built around a proprietary quantitative engine, institutional-grade risk management, and disciplined automated execution.
Developed for traders who want a structured, research-based system instead of emotional entries, crowded indicators, or single-symbol robots over-optimized on historical data.
What makes Pravial Market Dynamics different?
Most Expert Advisors are optimized for one symbol, one market condition, or one narrow historical window. PMD was built with a broader objective: to operate through the same logic across different markets and asset classes without changing its core configuration.
The default setup was validated on XAUUSD, BTCUSD and TSLA simultaneously — three uncorrelated assets with fundamentally different volatility profiles, liquidity conditions, session behavior and price structure. Gold, Bitcoin and equities do not move the same way. Testing the same configuration across all three without parameter adjustment is a more serious validation approach than curve-fitting a single chart.
The goal of PMD is not to predict every movement. The goal is to identify relevant market conditions, execute with discipline, and manage risk through a repeatable quantitative framework.
A serious tool for serious traders
PMD is not a scalping robot, not a martingale system, and not a grid strategy. It does not open dozens of trades per day to generate the appearance of activity. It does not recover losses by compounding position sizes against the market. It does not rely on statistical accumulation of many small wins to mask the risk of a single catastrophic loss.
PMD is a structured quantitative system. It waits for specific internal conditions to align before executing, which means there will be days, and sometimes longer periods, with no trades at all. That is not a malfunction. That is the system working as designed — protecting capital during unfavorable conditions rather than forcing trades into the market.
Real trading strategies, whether discretionary or automated, have drawdown periods. They have losing trades. They have stretches of flat or negative equity before resuming growth. Any system that claims otherwise is either cherry-picking its history or using a recovery mechanism that transfers risk rather than managing it. PMD does not hide this. The backtest results presented here show actual drawdown figures, actual losing trades, and actual equity curve behavior across a live-market test period.
If you are looking for a system that generates constant daily profits, trades hundreds of times per week, or promises a smooth upward equity line without losses, PMD is not the right product for you. If you are looking for a disciplined, research-grounded automated trading tool that you can test, understand and deploy with proper risk management, PMD was built for traders like you.
Who is this system for?
PMD is designed for traders who prioritize structure, rigorous testing and controlled risk. It is particularly suited to users who want a professional automated framework with transparent risk controls, tested across different market conditions, capable of both long and short execution, and built without martingale, grid or averaging logic.
This is not a set-and-forget solution. PMD is a quantitative trading tool that requires proper configuration, broker validation, and an understanding of automated risk management before any live deployment.
How it works
PMD operates through five functional layers. The user controls all operating inputs; the internal signal formula remains proprietary.
| Layer | Purpose |
|---|---|
| Pravial Dynamics Engine | Classifies market-state conditions and defines long and short activation cycles using a proprietary model. |
| Execution filters | Checks spread, session window, drawdown status, open positions, margin and broker stop-level constraints before placing any order. |
| Position sizing | Applies fixed lot or balance-based risk sizing calculated from stop distance and symbol tick value. |
| Exit framework | Manages fixed-percent or dynamic-range exits, trailing stop and break-even protection throughout the trade lifecycle. |
| Visual interface | Displays an optional black-box status panel and a compact Dynamics visual monitor on the chart. |
The EA evaluates signals on the selected Dynamics timeframe. Exit management continues while a position is open, applying break-even and trailing stop logic when conditions and inputs allow.
Main features
Signal and execution
- Proprietary Pravial Dynamics signal engine — no martingale, no grid, no averaging
- Long and short directional trading
- One-position-per-symbol operating mode
- Broker-aware stop distance and freeze-level validation
- No DLL imports or external WebRequest permissions required
Risk and position management
- Fixed lot or risk-based dynamic position sizing
- Dynamic stop-loss and trailing stop logic
- Break-even protection with configurable trigger and lock distance
- Maximum drawdown filter to block new entries after a defined equity loss threshold
Filters and controls
- Spread filter for execution quality control
- Session window filter with configurable server-time hours
- Optional fixed or dynamic exit modes
- Optional black-box status panel and Dynamics visual monitor
- Verbose Journal logging for diagnostics
Adapting PMD to your market and trading style
The Pravial Dynamics Engine inputs are fully exposed and adjustable. The benchmark profile reflects a specific research configuration designed for cross-market validation, but PMD is not locked to those settings.
Traders can adjust the Dynamics Engine parameters to explore different assets, different risk profiles, or different investment horizons. A trader focused on lower-frequency positioning may benefit from adjusting the Dynamics depth and activation zones. A trader working with a different asset class or broker environment may want to tune session filters, stop distances and exit mode to match those conditions. The exit framework can be switched between fixed-percent and dynamic-range modes, allowing adaptation from tighter, shorter-duration trades to wider, trend-following behavior.
The input reference section of the included manual documents every parameter in detail, with explanations of what each setting controls and how it affects signal frequency, entry conditions and trade management. Any parameter change should be validated through backtesting before live deployment.
What is included with your purchase
| Item | Description |
|---|---|
| Pravial Market Dynamics EA | The Expert Advisor file, installed and updated via MQL5 Market. |
| User Manual (PDF) | Complete documentation covering installation, all input parameters, backtesting workflow, demo and live deployment, configuration examples, troubleshooting and FAQ. |
| Setup video | Step-by-step walkthrough covering installation, chart setup, parameter configuration, and first backtest run. |
| Benchmark .set files | Ready-to-load parameter files for XAUUSD and BTCUSD, matching the published research profile. Load directly into the Strategy Tester or onto a live chart. |
After purchase, send a private message through MQL5 to receive the manual, video and set files.
Getting started
PMD is designed to be accessible from the first run while remaining fully customizable for advanced users.
For traders who want to get started quickly: install the EA from MQL5 Market, open a chart on one of the benchmark symbols, drag the EA onto the chart, allow automated trading, and load the provided .set file. The EA will begin operating according to the published benchmark configuration. No manual signal interpretation is required.
For traders who want to explore further: the full input reference in the manual explains every parameter, what it controls, and how it affects behavior. The Dynamics Engine, exit framework, session filter and risk controls can all be configured independently. Structured backtesting with the Strategy Tester allows traders to evaluate different configurations before deployment.
Both paths are valid. The included documentation supports both.
Key input parameters
Risk and sizing
- InpUseRiskBasedSizing — enables balance-based lot calculation instead of fixed lot.
- InpRiskPerTradePctBalance — PMD risk factor. Effective risk percent equals this value multiplied by 10. The benchmark uses 1.00, which equals 10% effective risk per trade. For live deployment, begin significantly lower: 0.10 approximates 1% per trade.
- InpMaxDrawdownPercent — blocks new entries once equity drawdown from peak exceeds this level. Set to 0 to disable.
- InpAllowLongTrades / InpAllowShortTrades — enable or disable directional entries independently.
Exits and stop management
- InpExitMode — 0 for fixed-percent exits, 1 for dynamic-range exits based on the Dynamics model.
- InpEnableDynamicsTrailingStop — activates Dynamics-range trailing stop management after a defined profit threshold.
- InpEnableBreakEvenStop — moves stop-loss to entry or beyond once a defined profit level is reached.
Filters
- InpMaximumSpreadPoints — maximum spread allowed for new entries. Set to 0 to disable.
- InpUseSessionFilter — restricts trading to a defined server-time window.
Dynamics Engine
- InpDynamicsTimeframe — timeframe used by the internal engine. Default is M5.
- InpDynamicsDepth — controls signal depth and frequency. Only adjust after structured out-of-sample testing.
- InpLongDynamicsFloor / Ceiling and InpShortDynamicsFloor / Ceiling — define the activation zones on the Dynamics scale for long and short entries. Adjusting these allows the trader to control entry selectivity.
The benchmark profile uses a risk factor of 1.00, which equals approximately 10% effective risk per trade. This was appropriate for a cross-market research test and is not suitable for most live accounts. For initial live or demo deployment, a value of 0.10 — approximately 1% effective risk — is a reasonable starting point. Always reduce risk before deployment and test on your specific broker first.
Backtest results summary
All three tests used identical EA parameters, a 10,000 USD initial deposit, 1:100 leverage, M1 timeframe, every-tick modelling based on real ticks, and random execution. Broker data source was Pepperstone Group Limited. Results are for research and validation purposes only and do not guarantee future performance.
| Symbol | Period | TF | Quality | Net profit | Return | Profit factor | Sharpe ratio | Max equity DD | Recovery factor | Win rate | Trades | LR correlation | Avg payoff |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| TSLA | 2024.01.01 – 2026.04.25 | M1 | 99% | $2,360.48 | +23.60% | 41.51 | 36.32 | 7.58% | 2.59 | 92.31% | 13 * | 0.98 | $181.58 |
| BTCUSD | 2024.01.01 – 2026.04.25 | M1 | 99% | $46,549.57 | +465.50% | 1.71 | 51.55 | 15.45% | 5.51 | 73.75% | 259 | 0.93 | $179.73 |
| XAUUSD | 2024.01.01 – 2026.04.25 | M1 | 98% | $97,207.63 | +972.08% | 1.54 | 42.06 | 21.68% | 4.56 | 76.88% | 506 | 0.94 | $192.11 |
Return is calculated on a 10,000 USD initial balance. Win rate reflects profitable trades as a percentage of total closed trades. Max equity drawdown is the largest peak-to-trough equity decline during the test. LR Correlation measures equity curve smoothness, where values near 1.00 reflect more consistent growth. (* ) TSLA results are based on 13 trades over the full test period — the low sample size should be considered when interpreting those figures.
Test configuration
| Parameter | Value |
|---|---|
| Symbols tested | XAUUSD, BTCUSD, TSLA — same parameters on all three |
| Period | 2024.01.01 to 2026.04.25 |
| Timeframe | M1 |
| Modelling | Every tick based on real ticks |
| Execution | Random execution |
| Initial deposit | 10,000 USD |
| Leverage | 1:100 |
| Broker data source | Pepperstone Group Limited |
Before going live
Run your own Strategy Tester backtests on your broker and symbol configuration. Spreads, commissions, swap conditions, contract specifications and execution quality vary between brokers and can materially affect results. Robustness tests on sub-periods and stress tests with higher spread are recommended before any demo or live deployment.
For demo and live use: start one symbol at a time, use conservative risk settings, confirm Algo Trading is enabled after every terminal restart, and use a reliable VPS if the EA must run continuously without interruption. Do not increase risk after a short winning period. Do not change stop-loss levels manually unless you fully understand the impact on the EA logic.
Frequently asked questions
Does PMD guarantee profit?
No. No Expert Advisor can guarantee profit. PMD is a quantitative tool that must be tested, properly configured, and actively risk-managed by the user.
Why are there so few trades on TSLA?
TSLA has limited market hours compared to XAUUSD or BTCUSD, and the internal Dynamics conditions activate selectively. Thirteen trades over two years on an equity CFD is consistent with a structured approach that prioritizes quality over quantity. The low sample size should be factored into any performance assessment.
Why does the EA sometimes go days without trading?
PMD only acts when its internal activation conditions align and all execution filters pass. Extended periods without trades are normal and intentional. The EA is not malfunctioning during quiet periods — it is protecting capital by not forcing entries into unfavorable conditions.
Can I use it on symbols other than XAUUSD, BTCUSD and TSLA?
Yes. The EA is not locked to those symbols. The benchmark instruments were selected for research validation purposes. Any new symbol should be backtested individually on your broker before live use.
Can I run it on multiple symbols simultaneously?
Yes. Attach one EA instance per chart and symbol. Use a different Magic Number for each separate strategy or parameter configuration to avoid position conflicts.
Should I modify the Dynamics Engine inputs?
Only after structured backtesting with out-of-sample validation. The engine inputs directly control signal frequency and activation behavior. Arbitrary changes without testing may significantly alter or degrade performance.
What is a safe risk setting for live accounts?
The benchmark uses a risk factor of 1.00, which equals approximately 10% effective risk per trade — this is designed for research purposes and is not appropriate for most live accounts. For initial live or demo deployment, a value of 0.10, approximating 1% effective risk per trade, is a prudent starting point. Risk should always reflect account size, leverage and personal drawdown tolerance.
Will results be the same on a different broker?
Not necessarily. Broker history quality, spreads, commissions, swaps, contract size, execution model and leverage can all produce different results from the same configuration. Always validate on your specific broker before going live.
Does the EA require DLL imports or special permissions?
No. PMD does not require DLL imports or external WebRequest permissions.
Do the visual panel and Dynamics monitor affect trading?
No. Both are monitoring tools only. Disabling them during optimization or long backtests improves performance speed without affecting trade logic.
Support
Support is provided through the product comments section and the MQL5 messaging system. Both channels are monitored. When contacting support, include the following information to allow for faster and more accurate assistance:
- Symbol, broker name and account type
- Chart timeframe and EA parameter set in use
- Exact Journal and Experts tab messages
- Strategy Tester settings and screenshots if applicable
- EA version number
Do not include trading account passwords or sensitive account credentials in any support message.
Risk notice
Automated trading carries inherent risk. Trading foreign exchange, CFDs, crypto CFDs, equities and other leveraged instruments involves substantial risk of loss. Automated systems can amplify both gains and losses. Past performance, backtests and historical reports do not guarantee future results. Market conditions, broker execution quality, spreads, commissions, swaps, liquidity and slippage can all materially affect live performance. Use only capital you can afford to lose. The user is responsible for all trading decisions, account risk, broker selection and deployment choices.
