Scalper MVP Enhancement & Zerodha Integration
Budget: ₹12,500 – ₹37,500 INR
RFQ – Integrate Scalper MVP with Zerodha + APIs & Finalize UI (with Live Charts)
Dear [Developer Name],
I’m sharing a prepared scaffold (scalper_mvp_starter_tv_charts.zip) for a semi-autonomous intraday scalping assistant (WordPress plugin + microservices). The system is human-in-the-loop by default, with optional auto-confirm above a confidence threshold.
What’s already built
WP plugin (PHP + JS): Admin dashboard, signals table, keyboard shortcuts, REST endpoints, and TradingView chart embed (candles + VWAP + RSI). Clicking a signal row loads its symbol on the chart.
Node.js Market Gateway: Publishes ticks to Redis (mocked now).
Python Signal Engine: VWAP + RSI + Volume-Spike strategy, rolling indicators, writes signals to Postgres.
Execution Service (Node): Guardrails + order placement stub.
DB & Infra: PostgreSQL schema, Redis, Docker Compose.
Scope of Integration & Enhancements (to quote)
Zerodha Kite Connect Integration
Replace mock ticker with live tick subscriptions and historical OHLC.
Implement secure token handling (encryption + TTL/refresh).
Optional: market depth/order book endpoints.
Order Execution (Zerodha)
Implement place/modify/cancel; support MIS scalps, partial fills.
Error handling, retries/backoff, and broker code mapping.
News & Sentiment
Integrate NewsAPI/Benzinga/RSS into the Python engine.
Basic NLP scoring and feed into the confidence function.
Backtesting & Reports
Extend backtesting to read CSVs and output Sharpe, MDD, hit-rate, slippage-adjusted P&L.
Add CSV/PDF exports in WP admin.
Risk & Session Controls
Implement cooldowns, NSE time windows, flatten-before-close.
Extend guardrails: daily loss cap, spread/slippage filters, correlation checks.
Monitoring & Audit
Latency/health dashboards; token expiry alerts.
Expand immutable audit logs (suggestions, approvals, executions).
WP UI (already partially done)
Keep the TradingView widget; ensure symbol mapping with Zerodha instruments.
Optional: push-based updates (WebSocket/SSE) for signals and chart annotations.
Dear [Developer Name],
I’m sharing a prepared scaffold (scalper_mvp_starter_tv_charts.zip) for a semi-autonomous intraday scalping assistant (WordPress plugin + microservices). The system is human-in-the-loop by default, with optional auto-confirm above a confidence threshold.
What’s already built
WP plugin (PHP + JS): Admin dashboard, signals table, keyboard shortcuts, REST endpoints, and TradingView chart embed (candles + VWAP + RSI). Clicking a signal row loads its symbol on the chart.
Node.js Market Gateway: Publishes ticks to Redis (mocked now).
Python Signal Engine: VWAP + RSI + Volume-Spike strategy, rolling indicators, writes signals to Postgres.
Execution Service (Node): Guardrails + order placement stub.
DB & Infra: PostgreSQL schema, Redis, Docker Compose.
Scope of Integration & Enhancements (to quote)
Zerodha Kite Connect Integration
Replace mock ticker with live tick subscriptions and historical OHLC.
Implement secure token handling (encryption + TTL/refresh).
Optional: market depth/order book endpoints.
Order Execution (Zerodha)
Implement place/modify/cancel; support MIS scalps, partial fills.
Error handling, retries/backoff, and broker code mapping.
News & Sentiment
Integrate NewsAPI/Benzinga/RSS into the Python engine.
Basic NLP scoring and feed into the confidence function.
Backtesting & Reports
Extend backtesting to read CSVs and output Sharpe, MDD, hit-rate, slippage-adjusted P&L.
Add CSV/PDF exports in WP admin.
Risk & Session Controls
Implement cooldowns, NSE time windows, flatten-before-close.
Extend guardrails: daily loss cap, spread/slippage filters, correlation checks.
Monitoring & Audit
Latency/health dashboards; token expiry alerts.
Expand immutable audit logs (suggestions, approvals, executions).
WP UI (already partially done)
Keep the TradingView widget; ensure symbol mapping with Zerodha instruments.
Optional: push-based updates (WebSocket/SSE) for signals and chart annotations.