ZynIQZynIQ Bot & Dashboard Docs
How the ZynIQ crypto trading bot and its dashboard work. Indicator docs live in the main docs.
Bot concepts
Core philosophy
The ZynIQ bot is built around a simple idea: stability first, intelligence second. It is not a single “signal indicator with auto-clicking”; it is a full decision engine that combines structure, regime, volatility and risk into a controlled, self-learning process.
Signals, filters and scores
The bot does not rely on a single entry rule. It thinks in layers:
- Signal layer – finds potential opportunities such as breakouts, volatility shifts or context events. These are candidates, not automatic trades.
- Filter layer – applies safety checks: regime quality, trend and volatility conditions, symbol behaviour, risk limits and other guardrails.
- Scoring layer – assigns an internal score to each candidate based on structure quality, regime alignment, volatility suitability and recent performance in similar conditions.
A trade only proceeds if it passes the filters and reaches sufficient internal score.
Risk and volatility awareness
Risk is not treated as a fixed number. The bot monitors volatility regimes, stretch/extension, ATR movement, symbol-specific behaviour and portfolio-wide exposure. From this it decides whether the environment is safe, how aggressive or conservative to be, or whether to stand aside completely.
Demo UI vs connected trading
The ZynIQ demo UI is an interactive sandbox that lets you explore how the dashboard looks and feels. It uses simulated and scripted data to demonstrate:
- How bots are listed and managed
- How open and closed trades are displayed
- How PnL, equity and performance views are presented
- How status, health and logs are surfaced in the interface
The demo UI does not reflect live trades from your own bot or account. It is a safe environment to explore the workflow and behaviour patterns without connecting an exchange or risking capital.
When you connect a real account, the same style of dashboard is used, but the data then comes from your actual bot activity and exchange connection instead of simulated streams.
Relationship to indicators
ZynIQ indicators and the ZynIQ bot are related but not identical:
- Indicators show structure, breakouts, regimes, ATR and context on TradingView charts.
- The bot uses its own internal view of structure and context, adds safety layers, scoring, symbol-specific memory and self-learning, then executes trades according to its rules.
You can think of indicators as the visual language, and the bot as the execution engine that speaks that language with additional intelligence behind the scenes.
What the bot is not
- It is not a “get rich quick” machine.
- It is not a simple green-arrow/red-arrow auto-clicker.
- It is not a system that expects you to constantly retune raw formulas.
The design goal is a controlled, self-learning engine with transparent behaviour, minimal required configuration and a focus on risk and stability.
Where the bot fits in the ZynIQ stack
The ZynIQ bot sits at the centre of the ecosystem:
- Indicators teach and visualise structure, context and volatility.
- The bot makes decisions and executes trades based on a multi-layer engine.
- The dashboard shows you what the bot is doing and gives you control over which bots run, how they manage risk and which accounts they use.
Once you understand the indicators and have spent time in the demo dashboard, you are effectively thinking in the same language as the ZynIQ bot.
Dashboard tour
Overview screen
The Overview page is your high-level status view. It shows equity, active bots, recent performance and key health information in one place.
- Total equity and high-level PnL snapshot
- Number of active bots and open trades
- Market snapshots and basic context
- Recent activity feed and status messages
Bots list
The Bots page shows all available bots, their state and where they are connected.
- Bot name and description
- Status (running, paused, idle)
- Exchange assignment and connection state
- Current risk profile and open trades count
- Recent performance indicators
Open trades
The Open trades view displays every active position the system is tracking.
- Symbol, side and position size
- Entry price, SL/TP and current price
- Unrealized PnL
- Trade age and basic context
Closed trades & PnL reporting
The PnL reporting area focuses on results over time.
- Recently closed trades with outcomes
- Equity curve visualisation
- Win/loss breakdown and basic ratios
- Period filters (daily, weekly, monthly)
Logs & activity
The Logs view provides transparency around what the system is doing.
- Trade lifecycle events
- Execution updates
- Risk and safety decisions
- Skipped trades with reasons
- System health and connection notes
Configuring bots
Configuration philosophy
ZynIQ bot configuration is designed to be simple. You control risk, symbols and preferences, not raw formulas or technical internals.
Core configuration areas
- Risk profile – define whether the bot behaves conservatively, in a balanced way or more aggressively within its safety limits.
- Exchange connection – choose which exchange/account a bot is allowed to trade on, or keep it safely disconnected.
- Symbols – select which markets the bot can operate on; the engine still applies its own volume and stability checks.
- Max exposure – limit overall exposure, maximum open trades and concentration per symbol.
- Bot status – start, pause or fully disable a bot with immediate effect.
No JSON, no servers, no coding
All configuration is handled inside the ZynIQ dashboard. There are no config files to edit, no scripts to restart and no VPS maintenance to manage.
How changes affect behaviour
Configuration guides the bot but does not override safety. For example:
- Expanding the symbol list increases opportunity, but the bot still filters aggressively.
- An aggressive risk profile raises allowed sizing but does not force reckless trades.
- Lowering max exposure reduces risk and open trades, but the engine remains stable and systematic.
- Pausing a bot typically halts new entries while allowing existing trades to be managed or closed correctly.
Demo mode
What demo mode is
Demo mode is a fully interactive sandbox that lets you experience the ZynIQ dashboard without connecting an exchange or risking capital.
What you see in demo mode
- Simulated equity curves and performance history
- Generated open and closed trades
- Market snapshot and context panels
- Activity feeds and log-style messages
What demo mode is not
- It does not display trades from your real account.
- It does not execute any live orders.
- It does not mirror actual market performance.
Why demo mode exists
Demo mode helps you learn the layout, terminology and workflow of the ZynIQ dashboard before connecting live capital. Everything you practice in demo mode maps directly to how the live dashboard behaves.
Bot FAQ
Do I need coding or a VPS to run the bot?
No. The bot is managed entirely through the ZynIQ dashboard. There is no need for coding, servers, VPS hosting or manual scripts.
Does the bot use my TradingView indicators directly?
No. TradingView indicators help you understand market structure, but the bot uses its own internal engine, regime logic, scoring and self-learning behaviour.
Can the bot lose money?
Yes. All trading involves risk. ZynIQ focuses on stability, risk control and long-term consistency, but losses are a normal part of any real trading system.
Can I override the bot's entries manually?
You can pause or disable a bot at any time, but you cannot force trades into the engine. This prevents overriding its safety and stability rules.
Does the bot trade 24/7?
Yes. As long as a bot is running and connected to an exchange, it monitors conditions continuously and acts according to its internal logic.
How much setup is required?
Setup is minimal. You select the exchange, symbols, risk profile and exposure limits. The bot handles the technical details and execution.
Can multiple bots run at the same time?
Yes. You can run multiple bot profiles simultaneously, each with its own configuration and exchange connection.
How do I see why the bot skipped a trade?
The Logs or activity views record skipped trades along with their reasons, such as poor regime, unfavourable volatility, stretch, risk limits or low internal score.
What happens if my exchange connection is interrupted?
The bot pauses trading when an exchange connection is lost and resumes only when it is safely restored.
Does the bot scale position sizes as my account grows?
Yes. Position sizing adapts according to your configured risk profile and exposure settings so that behaviour scales with your account.
Early access
What early access is
Early access gives a limited group of users the ability to use new ZynIQ components before they are widely released. It is intended for traders who are comfortable providing feedback and understand that early features can evolve quickly.
What you can expect
- Access to new bot behaviour, dashboard features or indicator updates ahead of general release.
- Occasional changes to layouts, wording and options as features are refined.
- Direct channels to share feedback, suggestions and bug reports.
How to join
You can join the early access programme by registering your interest through the ZynIQ website. Spaces may be limited to keep feedback manageable.
Responsibilities of early access users
- Use early access features with the understanding that behaviour may change as improvements are made.
- Report issues or unexpected behaviour where possible.
- Follow published risk guidance when connecting real accounts.
Moving from early access to general release
As features mature, they are promoted to general availability. In most cases this is seamless: you continue using the updated feature without interruption, although some options or layouts may adjust based on feedback collected during early access.