Hire a Quantower developer to turn your trading rules into automated strategies, custom indicators, and practical trading tools. We build prop trading automation, trade copiers, external signal execution, and API integrations — including connections to Python analytics and existing systems.
Custom analysis, automated execution, and connected tools in the trading environment you use.
Nordman Algorithms develops custom Quantower software for traders who need their own strategy logic, analytical tools, or execution workflow. Our Quantower programmers build automated strategies, indicators, scanners, trade managers, account copiers, and tools for prop trading.
Native components use C# and the Quantower API. External connections bring in TradingView signals, Python analytics, market data, and other systems. We define how these components work together, including the data source, account, order rules, and response to connection changes.
Choose the service that matches your goal: automate a strategy, build an analytical tool, connect systems, or improve existing software.
Build automated Quantower strategies and trading bots from your entry, exit, and position-management rules. Combine indicator signals, session filters, order-flow conditions, stops, targets, and position sizing in a strategy adapted to your account and data connection.
Create custom Quantower indicators with your own calculations, chart visuals, and alerts. Projects can include Delta, CVD, Volume Profile, Footprint, and liquidity analysis, using the market data available through your connection.
Develop automation around the rules of your Quantower prop trading account. Add daily-loss monitoring, drawdown tracking, session cutoffs, contract limits, and account-status controls, with actions defined around the firm’s permitted tools and the data available.
Convert strategies, indicators, and trading tools between Quantower and MT4, MT5, TradingView, NinjaTrader, cTrader, or another supported platform. Rebuild calculations and execution behaviour for the destination, then compare the result against agreed reference examples.
Build custom trade-copying logic for requirements beyond the built-in Copy Trading panel. Define trade filters, account-specific controls, partial-fill handling, position reconciliation, or links to other supported platforms around your multi-account workflow.
Turn external signals from TradingView, Telegram, Discord, webhook messages, or APIs into Quantower orders. Define message parsing, entry and exit instructions, duplicate checks, signal expiry, position sizing, and execution logs for each source.
Improve an existing Quantower strategy or indicator using the available C# source code. Investigate incorrect calculations, missing alerts, repeated orders, connection-state issues, or behaviour that differs from your rules, then implement the agreed changes.
Monitor your conditions across symbols and timeframes in a custom Quantower view. Build signal tables, instrument rankings, account summaries, and configurable alerts around the data you need. Scanners find opportunities; dashboards bring the results together.
Create custom trade panels for workflows that need more than standard panel settings. Combine one-click trading, risk calculation, partial-close management, group order management, hotkeys, or integration with external systems in an interface designed around your routine.
Connect Quantower to the applications, data feeds, and trading services your workflow needs. The integration is built around the available interfaces and access.
Not every requirement fits a predefined category. Send a description, screenshots of what you have in mind, reference files, or existing Quantower source code — we will review it and tell you what is technically possible on Quantower and what it would take.
A Quantower programmer agrees the behaviour, data requirements, deliverables, and price with you before development starts. Each stage gives you a clear next step.
Send your rules and examples of the expected result. For existing code, include the source files and relevant logs. For integrations, tell us which systems exchange data and what should happen when a signal or order update arrives.
Receive the agreed Quantower build, source code, and any supporting components included in your project. We explain the settings, installation, and connection requirements, with technical support within the agreed scope.
C# is the platform’s own development language; the remaining interfaces connect Quantower components to external data, services and signal sources.
Strategies, indicators, panels and platform components written in C# against the Quantower framework, running inside the platform with its own data and order objects.
Explore C# / .NET →Access from a Quantower component to symbols, historical and realtime data, accounts, positions, orders and connections — including volume analysis and Level 2 where the selected connection provides it.
Python runs outside the platform for analytics, models, data processing, reporting and external signal logic, exchanging results with a Quantower component. It is not the native strategy language.
Explore Python →Connections to data APIs, news and alternative data, portfolio systems and execution services. Quantower’s own development surface is its C# API rather than a public REST trading interface.
Explore REST API →Realtime data and event connections to external services, with subscription handling and reconnection managed in the connecting component.
Explore WebSocket API →TradingView and other alert systems deliver to a receiver, which validates the message and passes it to the Quantower component for execution.
Explore Webhook →Quantower is connection-driven: the instruments, data, execution and order types available in a project all follow the connection and account you select.
Futures strategies, order-flow indicators and trade tools with contract sizing, session schedules and rollover handling defined for your instruments.
Futures Automation →Stock and ETF scanners, indicators and trading workflows built around the equity data connection and order types your account provides.
Stock Automation →Options analysis and account tools around available chains and contract data, where the selected connection supports options.
Options Automation →Quantower connects to crypto exchange environments rather than crypto CFDs, so spot or derivatives automation is possible depending on the connection.
Crypto Automation →Forex and CFD trading through a connected broker, adapted to that provider’s symbols, sizing and trading rules.
Forex Automation →Work with a team that connects trading requirements with implementation details, from the first technical review to installation and support.
Strategies, indicators, scanners, and panels built in C# on the Quantower API by Quantower programmers who work inside the platform daily.
Data availability, instrument specifications, account permissions, and connection changes are considered when the software is designed.
Receive an agreed feature list, fixed quote, and schedule. Additional requests can be assessed separately so the original delivery remains clearly defined.
Discuss proprietary rules under an NDA when needed. Source-code delivery and ownership terms are established before work starts.
Get help with installation, input settings, and technical questions within the agreed support scope. Existing projects can be extended as your requirements change.
Practical answers about custom software, existing tools, external signals, and Quantower integrations.
A Quantower developer can build automated strategies, custom indicators, scanners, trade managers, trade copiers, and connected tools using C# and the Quantower API. Share the rules or workflow you need, together with your instruments and connection, so we can define the appropriate components.
Yes. We review the available C# source, reproduce the issue, and agree the changes before coding. Send the expected result, the actual behaviour, sample charts, and relevant logs. If source code is unavailable, we can assess a rebuild from documented rules.
Yes. Custom indicators can use volume-analysis and order-book data exposed by the Quantower API. We first check the data required for your calculations, including available history and Level 2 access. The selected connection and data subscription determine what can be supplied.
Yes, through a custom signal receiver and execution component. TradingView alerts, Telegram or Discord messages, webhook payloads, and API instructions are translated into defined Quantower actions. We agree source access, message formats, signal expiry, duplicate checks, and position-management rules.
A trade copier follows activity in a source trading account, such as an order, fill, or position update. External signal execution starts with an instruction from another system and decides how to act on it in Quantower. The source of the event and the handling rules are different.
Custom development is useful when your workflow needs behaviour beyond the available settings. Examples include selective copying across platforms, account-specific execution rules, a tailored order-entry interface, group order management, or links to an external risk system. We review the built-in options before defining the custom scope.
Yes, where the account supports Quantower and the proposed automation is permitted. We can implement monitoring and actions around daily losses, drawdown, session cutoffs, and contract limits. The scope defines the firm’s calculation rules, available account data, and what happens if a connection is interrupted.
Yes, when the required rules, data, and platform functions can be reproduced. Conversion involves rebuilding the relevant logic for Quantower, then comparing signals, calculations, and order behaviour with agreed reference examples. Sharing source files and example outputs makes the assessment more precise.
Projects can connect Python analytics, risk systems, reporting tools, custom market data, alternative data, news APIs, signal providers, execution systems, or portfolio management tools. We distinguish an external application connection from a new data or trading connector, and check the interfaces and access each requires.
Yes. An external Python component can calculate signals, process data, or produce reports, then exchange information with a Quantower component. Native Quantower strategies and indicators use C#. We define the interface between them, the update timing, and how connection errors are handled.
After reviewing your requirements and files, we provide a fixed quote, scope, and schedule. Cost depends on the logic, interfaces, available source code, and testing scenarios. Delivery includes the agreed source and build files, setup guidance, and technical support. NDA and ownership terms are established before work starts.
Send your strategy rules, indicator idea, existing code, or integration requirements. We will review the materials and outline a practical scope for your Quantower project.