You imagine it. I build it. Custom trading technology for your business — not a one-size-fits-all SaaS product.
Build trading technology tailored to your business—from broker integrations and TradingView automation to client management, admin portals, and custom workflows. Designed specifically for Indian Capital Markets.
I build custom trading platforms, multi-broker integration, tradingview automation, risk management systems, oms & rms development, client management portals, admin dashboards, dealer terminals, and more — tailored to your workflows and branded as your own, deployed on your servers under your ownership.
Platform capabilities
Watch a walkthrough of past client builds before you book a consultation.
Architecture walkthrough for multi-client and multi-broker trading businesses. See how one signal can fan out across brokers and sub-accounts with reliable execution—engineered so operators scale without rebuilding OMS and broker adapters from scratch.
What breaks when a trading business grows past spreadsheets?
Per-client setup
Broker, capital, rules, risk
Signal fan-out
1 alert → hundreds of orders
Operator load
Errors, disputes, missed fills
The wall
Signal providers, brokerages, and trading communities hit the same wall: every client has a different broker, capital size, quantity rules, risk tolerance, and strategy — yet orders still get placed manually, copied through chat, or tracked in spreadsheets.
Peak load
Peak market windows expose the bottleneck. One TradingView alert becomes hundreds of individual actions. Operators firefight execution errors, P&L disputes, and missed fills instead of growing the business.
The shift
Custom trading software replaces manual fan-out with systems built for your workflow — one signal pipeline, per-client configuration, and automated routing to the correct broker account, owned and operated by you.
Build everything in-house from scratch, or partner with an engineer who scopes and delivers to your requirements?
Time to launch
Engineering
Starting point
Option A
Full custom engineering from the ground up
12–24 months to design, build, and stabilize a production trading system
Large engineering team across frontend, backend, DevOps, and broker integrations
Ongoing maintenance for broker API changes, market rules, and security patches
Extensive testing for order routing, risk controls, and multi-client edge cases
Infrastructure setup for market data, WebSocket feeds, Redis queues, and high availability
Regulatory disclosure flows, audit logs, and operational tooling built from zero
Option B
Scoped builds, client-owned infrastructure and branding
Work with a dedicated development partner who scopes architecture to your business
Customize branding, broker integrations, OMS, RMS, reports, and client workflows
Reuse proven engineering patterns so delivery is measured in scoped months, not years
Multi-broker adapters, TradingView webhooks, and operational tooling as building blocks
Deploy on your cloud, dedicated server, or on-premise infrastructure under your ownership
Proposal-based pricing scoped to your exact requirements — no fixed-feature lock-in
Which businesses need custom trading technology development?
8 audience types — from brokerages and prop firms to signal providers and institutional teams. Each deployment is customized to your operational model.
I build branded client portals, dealer terminals, OMS/RMS controls, and broker API integrations so brokerage firms run client operations under their own brand and infrastructure.
I build client management portals, strategy delivery workflows, and admin dashboards so trading mentors and educators manage students and members without spreadsheet firefighting.
I build MVP and production trading technology — multi-broker connectivity, automation, and internal tools — so fintech founders ship under their brand without years of greenfield platform engineering.
I build desk administration, trader management, risk monitoring, and multi-account visibility so proprietary trading firms scale operations on systems they own.
I build portfolio dashboards, client portals, and reporting workflows so wealth managers deliver a professional digital experience matched to their operating model.
I build research distribution tools, subscriber portals, and signal-to-execution workflows so research firms productize insights without relying on chat apps and manual fan-out.
I build internal trading tools, portfolio views, and controlled execution workflows so family offices run investment operations on private, client-owned infrastructure.
I build private trading dashboards, broker integrations, and risk controls for HNIs and internal desks that need systems owned and hosted by them — not a shared SaaS algo platform.
How does the platform handle different client configurations?
Trading businesses rarely serve identical clients. Every trader has a different broker, capital size, quantity preference, risk tolerance, trading product, strategy, and entry rules.
Every client differs on
Signal fan-out in your trading systems
Trading signal
TradingView · API · Manual
Per-client routing
Broker · size · risk · product matched automatically
Zerodha
2 lots · 2% risk · F&O
Angel One
50 qty · 1% risk · Equity
Dhan
₹1L cap · 3% risk · Intraday
Alice Blue
Custom SL · Paper mode
Instead of manually placing hundreds of orders or copying trades into spreadsheets, software engineered for your desk can convert a single trading signal into personalized orders for every client — routed to the correct broker with the right size and risk settings.
Whether you manage 10 clients or 500+, operations stay centralized. One dashboard, one signal pipeline, hundreds of customized executions.
How do operators configure individual traders?
Per-client configuration
8 settingsCapital allocation
Set limits per trader account
Quantity & lots
Individual order sizing rules
Risk controls
Exposure caps and stop rules
Strategy rules
Per-client algo and entry logic
Broker OAuth
Linked accounts per client
Product access
Equity, F&O, commodity scopes
Session controls
Trading hours and entry gates
Subscription tier
Feature gating by plan level
Sample client profiles · your trading systems
Trader A
Zerodha
Trader B
Angel One
Trader C
Alice Blue
All profiles managed from one operator console in your trading systems.
No spreadsheets. No manual calculations. Everything executes automatically.
How do operators organize traders into groups?
Organize clients into trading groups for bulk operations, strategy assignment, and reporting cohorts. Execute one trade for an entire group with a single action while preserving individual risk settings per account.
1 action · whole groupGroup types in your trading systems
Swing Traders
Multi-day positions with shared strategy rules
Scalpers
High-frequency cohorts with tight risk caps
Option Buyers
F&O-focused groups with product scoping
Intraday Traders
Session-gated traders for market-hour windows
VIP Clients
Priority execution and premium feature access
Premium Clients
Subscription-tier groups with gated signals
Bulk operations
One action routes to every member in the group
Strategy assignment
Attach allowlists and routing rules per cohort
Reporting cohorts
Aggregate P&L and activity by group segment
Bulk execution flow
Swing Traders
24 active members
Single bulk action
One trade · entire group
Trader 12
2% risk · Zerodha
Trader 27
1% risk · Angel One
Trader 41
50 qty · Alice Blue
Individual risk settings preserved on every account
Can you connect multiple brokers from one dashboard?
Clients in your trading systemsuse different brokers — your platform shouldn't force a single choice.
Multi-broker architecture
Operator dashboard
One console for every client account
Unified adapter layer
OAuth linking · paper & live modes
Zerodha
Connected
Angel One
Connected
Dhan
Connected
Alice Blue
Connected
Platform capabilities
Connect Zerodha, Angel One, Dhan, Alice Blue, and other Indian brokers through a unified adapter layer with OAuth account linking.
Operators manage all client broker connections, paper vs live modes, and credential lifecycle from one admin console.
Orders route through a Redis-backed command queue to dedicated execution workers — serializing broker I/O without blocking the API.
WebSocket feeds deliver live positions, P&L, and watchlist pricing to client portals without page refresh.
OMS fill reconciliation tracks order lifecycle from creation through modification, cancellation, and fill confirmation.
JWT sessions, encrypted credential storage, and role-based access control protect client accounts and operator workflows.
Can TradingView signals drive your custom workflows?
TradingView strategies in your trading systems can drive automated orders — no manual copying during market hours.
Already using TradingView strategies? Systems I build can receive webhook signals and execute trades across multiple clients based on their individual configurations — broker, capital, quantity, and risk settings.
Admin-configured strategy allowlists control which alerts are accepted. Per-client routing maps determine which accounts receive automated orders during peak market windows.
Supported workflows
Manual Trading
Operators place discretionary orders through client portals.
TradingView Automation
Webhook alerts trigger automated execution per routing map.
Hybrid Workflow (Manual + Automated)
Run manual oversight alongside strategy-driven automation.
Webhook pipeline · your trading systems
TradingView alert
Webhook POST with strategy & symbol
Strategy allowlist
Admin-approved strategies only
Per-client routing
Broker · size · risk matched
Broker execution
Redis queue → execution worker
What infrastructure supports growing client counts?
Client volume growth path
100+
clients
Early-stage operations
250+
clients
Growing client base
500+
clients
Operational maturity
Enterprise
clients
High-volume execution
CPU
4 Core
RAM
8 GB RAM
Suits signal providers and communities validating product-market fit. Split-worker architecture keeps feed and execution running during API deploys.
CPU
8 Core
RAM
16 GB RAM
Redis pub/sub fan-out and command queue decoupling handle increased WebSocket connections and concurrent signal volume.
CPU
16 Core
RAM
64 GB RAM
Horizontal scaling of stateless API and WebSocket processes behind a load balancer distributes connection load at peak IST sessions.
Dedicated servers or private cloud for firms with data residency requirements, predictable load, and compliance-driven isolation.
Which trading technology capabilities can be engineered for your business?
4 module groups covering 19 platform capabilities — trading, clients, business ops, and infrastructure.
5 modules
4 modules
5 modules
5 modules
From concept to deployment, I develop custom trading software that matches your business workflow, infrastructure, and branding—deployed on your own servers under your own ownership.
your trading systems operators get 10 production-ready capabilities — branding, trading automation, and enterprise operations in one platform.
Brand
Client segmentation
BrandClient segmentation and per-account configuration
Trading
TradingView automation
TradingTradingView webhook automation
Operations
REST API integration
OperationsREST API integration for custom workflows
Platform
Built to your requirements, branding, and workflows
PlatformBuilt to your requirements, branding, and workflows
Multi-broker API integration across Indian brokers
PlatformMulti-broker API integration across Indian brokers
OMS, RMS, admin dashboards, and dealer terminals
PlatformOMS, RMS, admin dashboards, and dealer terminals
Deployed on your cloud or dedicated servers under your ownership
PlatformDeployed on your cloud or dedicated servers under your ownership
Mobile-ready client portals when you need them
PlatformMobile-ready client portals when you need them
Security controls with audit logs and role-based access
PlatformSecurity controls with audit logs and role-based access
Ongoing AMC and technical support as a development partner
PlatformOngoing AMC and technical support as a development partner
What outcomes show up after custom trading systems go live for clients?
3 deployment stories — brokerage scale-up, signal automation, and prop desk operations.
Up to 4× growth in 18 months
~70% less order entry
Scale without new hires
A brokerage firm commissioned a branded client portal with multi-broker linking and operator workflows, replacing manual trade copying and spreadsheet tracking for their retail client base.
Key outcome
A TradingView-based signal provider needed branded subscriber portals with per-client broker routing and subscription gating instead of fragile single-process bots.
Key outcome
A prop trading desk required multi-account visibility, manager-scoped access, and tick-driven risk monitoring across trader accounts on multiple brokers — built and deployed for their desk.
Key outcome
What do buyers ask before engaging a development partner?
8 pre-launch questions — pricing, branding, integrations, and infrastructure.
Tailored per deployment
Brokers, TradingView, APIs
Cloud, dedicated, on-prem
Pricing is proposal-based because every engagement is unique. Cost depends on broker integrations, customization scope, client volume, infrastructure requirements, and ongoing support.
A technical consultation helps define your workflows, integrations, and deployment model so I can provide a tailored proposal rather than a one-size-fits-all price.
View the custom trading software overview or book a technical consultation to discuss your requirements.
Yes. Systems are developed for your business and ship under your brand — custom domain, logo, colors, email templates, and client-facing copy. You own and present the product.
Deployment runs on your infrastructure. Ownership, operation, and regulatory responsibility remain with you; I act as the technology development partner.
Broker integrations are a core part of custom development. Engagements typically use a unified multi-broker adapter layer with broker-specific OAuth flows, symbol resolution, and order placement.
Multiple Indian brokers can integrate behind a single abstraction — broker-specific APIs are handled in the adapter so your clients connect accounts through a consistent workflow.
Integration scope typically includes:
Yes. Deployment options include cloud hosting, dedicated servers, private cloud, on-premise, and hybrid configurations. Infrastructure is sized to your client count and operational requirements.
Production typically runs as Docker containers with scripted build and deploy — suitable for AWS, Azure, DigitalOcean, OVH, or your own dedicated hardware.
TradingView webhook integration is a common custom-build capability. Alerts POST to an API endpoint with admin-configured strategy allowlists and per-client routing maps.
Signal processing can run asynchronously with parallel fan-out to subscribed clients, so TradingView alerts trigger automated order routing across multiple broker accounts.
Yes. Systems deploy on AWS and other cloud providers using Docker containers — API, workers, MongoDB, Redis, and Nginx reverse proxy with TLS.
Infrastructure is sized to your client count and signal volume. Load balancers and horizontal scaling are configured when operational requirements exceed single-instance capacity.
REST API access is part of custom development. Versioned APIs support client portals, mobile apps, and third-party integrations.
Webhook endpoints for TradingView and external signal sources are commonly included. Additional API endpoints are scoped per engagement requirements.
Kubernetes orchestration is available when your operations team requires it, typically for private cloud or high-scale enterprise deployments.
The default production stack often uses Docker Compose, which suits most dedicated-server and cloud deployments. Container images and configuration are portable to Kubernetes when needed.
Where do I deploy white label trading platforms?
Tamil Nadu, Kerala, Karnataka
30 local landing pages
Same production foundation
From concept to deployment, I develop custom trading software that matches your business workflow, infrastructure, and branding—deployed on your own servers under your own ownership. Pricing is proposal-based because every engagement is scoped to your requirements.
Book a technical consultation to talk through your workflows, integrations, and what you need built—deployed on your infrastructure under your ownership.
Let's discuss your requirements and build trading technology tailored to your business.
