
Market Data
navi-stream
navi-stream is a domain-specific language and expert tool for writing quantitative trading indicators and technical-analysis scripts against real-time market data. Use it when authoring or maintaining .
Overview
navi-stream is a domain-specific language and expert tool for writing quantitative trading indicators and technical-analysis scripts against real-time market data.
navi-stream is a domain-specific language and expert tool for writing quantitative trading indicators and technical-analysis scripts against real-time market data. Use it when authoring or maintaining .nvs indicator files, building RSI/EMA/SMA/Bollinger/Fisher transformations, designing signal logic, or performing streaming financial computations. Key features include time-series primitives, windowed aggregations, built-in statistical and math functions, low-latency streaming operators, parameterized indicator templates, and native .nvs file handling. It is optimized for continuous feeds, deterministic execution, and efficient memory use, enabling live signal generation, backtest-ready indicator outputs, and easy deployment to trading engines. Typical use cases: prototyping indicators, implementing production-grade technical signals, real-time monitoring dashboards, and integrating with market data feeds for automated strategies.
Skill.md
How this skill works
navi-stream is a domain-specific language and expert tool for writing quantitative trading indicators and technical-analysis scripts against real-time market data. Use it when authoring or maintaining .
Navi Stream Language Skill
Navi Stream (.nvs) is a domain-specific language (DSL) designed specifically for quantitative trading and technical analysis. It is optimized for real-time streaming data processing and technical indicator calculations.
Core Features
- Real-time Stream Processing - Designed for processing market data tick by tick
- Technical Indicator Library - Rich built-in technical analysis functions (ta module)
- Market Data Access - Direct access to OHLC data (quote module)
- Visualization Support - Built-in plotting functions for indicator display
- Parameterized Configuration - Support for dynamic parameters and metadata declarations
- Internationalization - Native support for multi-language labels
- Navi Integration - Can be imported and called by Navi programs
Quick Reference
Basic Structure
// 1. Metadata declaration
meta {
title = "MACD",
overlay = false,
}
// 2. Module imports
use quote, ta;
// 3. Parameter definition
param {
Length1 = 12,
Length2 = 26,
Length3 = 9,
}
// 4. Indicator calculation
let fast_ma = ema(close, Length1);
let slow_ma = ema(close, Length2);
// 5. Export variables
export let hist = fast_ma - slow_ma;
export let signal = ema(hist, Length3);
export let macd = (hist - signal) * 2;
Key Syntax Rules
- File extension:
.nvs - Use 4 spaces for indentation
- Single-line comments:
// - String interpolation:
`value: ${x}` - Variable declaration:
let(immutable),var(mutable)
Metadata System
Meta Block
meta {
title = "Indicator Name",
overlay = false, // false: separate window, true: overlay on price chart
hideparams = true, // Hide parameter panel
}
Parameter Declaration
param {
// Simple parameter
Period = 14,
// Parameter with metadata
@meta(title = "MA Period", range = 1..250)
MA_Period = 20,
// Multiple parameters
Short = 12,
Long = 26,
Signal = 9,
}
// Use parameters in code
let ma = ema(close, Period);
Internationalization Labels
@title_period {
"en" = "Period",
"zh-CN" = "周期",
"zh-HK" = "週期",
}
// Use label
param {
@meta(title = @title_period)
period = 14,
}
Market Data Access (quote module)
Built-in Data Fields
use quote;
// Access current period data
let current_price = close;
let high_price = high;
let low_price = low;
let open_price = open;
let vol = volume;
let amt = turnover;
// Access historical data (time series)
let prev_close = close[1]; // Previous period
let prev_high = high[2]; // 2 periods ago
Available data fields:
close- Close priceopen- Open pricehigh- High pricelow- Low pricevolume- Volumeturnover- Turnovertime- Timestamp
Time Series Pattern
// Access past data
if (close > close[1]) {
// Current close is higher than previous period
}
// Multi-period comparison
if (close > high[5]) {
// Current price breaks above high from 5 periods ago
}
Technical Indicator Functions (ta module)
Moving Averages
use ta;
// Simple moving average
let sma20 = ma(close, 20);
// Exponential moving average
let ema12 = ema(close, 12);
let ema26 = ema(close, 26);
// Apply to different data sources
let high_ma = ema(high, 10);
let low_ma = ema(low, 10);
Common Technical Indicators
// MACD
let diff = ema(close, 12) - ema(close, 26);
let dea = ema(diff, 9);
let macd = (diff - dea) * 2;
// Bollinger Bands logic
let mid = ma(close, 20);
let upper = mid * 1.02;
let lower = mid * 0.98;
Helper Functions
// Min and max values
let min_val = min(a, b);
let max_val = max(a, b);
// Absolute value
let abs_val = abs(diff);
// Conditional count
let count_up = count(close > open, 10); // Number of up days in last 10 periods
// Bars since condition met
let bars = barslast(close > ma);
Plotting System
Plot Function
// Basic plotting
plot(value, title: "Title", color: #ff0000);
// Multiple series
plot(ma5, title: "MA5", color: #ddff53, key: "ma5");
plot(ma10, title: "MA10", color: #4781ff, key: "ma10");
plot(ma20, title: "MA20", color: #fc6ebc, key: "ma20");
Shape Drawing
// Draw candlestick shapes
stick(top, bottom, color, hollow: true);
// Example: Price range
if (close > open) {
stick(high, low, #red, hollow: false);
}
// Fill area
fill(upper, lower, #blue);
// Polyline
polyline(value, #green);
Text Annotation
// Draw text at specified position
if (buy_signal) {
drawtext(close * 0.95, "Buy", #red);
}
if (sell_signal) {
drawtext(close * 1.05, "Sell", #green);
}
Variables and Types
Variable Declaration
// Immutable variable
let price = close;
let ma = ema(close, 20);
// Mutable variable
var counter = 0;
var sum: number = 0.0;
// Export variable (becomes indicator output)
export let signal = cross_signal;
export let macd = macd_value;
Basic Types
// Number type (floating point)
let price: number = 100.5;
let volume: number = 1000000;
// Boolean
let is_up = close > open;
let crossed = cross_over(fast, slow);
// String
let message = "Hello";
let label = `Price: ${close}`;
// nil (null value)
let optional_value: number = nil;
// Color
let red = #ff0000;
let blue = #0000ff;
let green = #00ff00;
Array Operations
// Create array
var values = array.new::<number>();
// Array operations
if (barstate.is_confirmed) {
values.unshift(close); // Insert at beginning
}
let first = values.get(0); // Get element
let length = values.len(); // Get length
// Iterate array
for (let i in 0..values.len()) {
let val = values.get(i);
}
Control Flow
Conditional Statements
// if-else
if (close > open) {
stick(high, low, #red);
} else if (close < open) {
stick(high, low, #green);
} else {
stick(high, low, #gray);
}
// Conditional plotting
if (close > ma20) {
plot(close, color: #red);
}
Loops
// Range loop
for (let i in 1..10) {
sum += values.get(i);
}
// Calculate minimum
let min_val: number = values.get(0);
for (let i in 1..min(n, values.len())) {
min_val = min(min_val, values.get(i));
}
Function Definition
// Custom function
fn calc_average(x: number, y: number): number {
return (x + y) / 2;
}
// Function with state
fn dllv(x: number, n: number): number {
var values = array.new::<number>();
if (barstate.is_confirmed) {
values.unshift(x);
}
let result: number = values.get(0);
for (let i in 1..min(n, values.len())) {
result = min(result, values.get(i));
}
return result;
}
// Use function
let low_val = dllv(close, 10);
Common Patterns
Trend Detection
// Golden cross and death cross
let golden_cross = fast_ma > slow_ma && fast_ma[1] <= slow_ma[1];
let death_cross = fast_ma < slow_ma && fast_ma[1] >= slow_ma[1];
// Breakout
let breakout = close > high[20]; // Break above 20-period high
let breakdown = close < low[20]; // Break below 20-period low
Divergence Detection
// Bullish divergence: price makes new low but indicator doesn't
let price_low = dllv(close, n);
let indicator_low = dllv(diff, n);
let bullish_divergence =
close < price_low[period] && // Price makes new low
diff > indicator_low[period]; // But indicator doesn't
Multi-Period Analysis
// Short, mid, long-term trends
let short_trend = ema(close, 5);
let mid_trend = ema(close, 20);
let long_trend = ema(close, 60);
// Trend alignment
let all_up = short_trend > mid_trend && mid_trend > long_trend;
let all_down = short_trend < mid_trend && mid_trend < long_trend;
Channel System
// Price channel
let mid = ema(close, 20);
let upper = mid * 1.02;
let lower = mid * 0.98;
Best used for
When to use it
navi-stream is a domain-specific language and expert tool for writing quantitative trading indicators and technical-analysis scripts against real-time market data. Use it when authoring or maintaining .

01 · PRE-MEETING
Prepare a decision brief
Turn scattered evidence into a structured case before an investment committee meeting.

02 · TEAM WORKFLOW
Standardize handoffs
Create consistent research outputs across analysts, portfolio managers, and agents.

03 · LIVE UPDATE
Refresh the thesis
Update scenarios after a new catalyst, KPI release, or earnings result.
Community notes
Built to improve with use.
Feedback will appear here as this skill is used and reviewed.
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