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Merge pull request #31 from QuantForgeOrg/ta-methods-coverage
## [0.5.0] - 2025-12-04 - Extensive TA implementation & Transpiler enhancements
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‎.github/badges/coverage.svg‎

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‎CHANGELOG.md‎

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# Change Log
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## [0.5.0] - 2025-12-04 - Extensive TA implementation & Transpiler enhancements
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### Added
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- Comprehensive implementation of `ta` namespace methods:
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- **Trend**: `supertrend`, `dmi`, `sar`, `falling`, `rising`, `cross`
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- **Volatility/Range**: `bb` (Bollinger Bands), `bbw`, `kc` (Keltner Channels), `kcw`, `range`, `tr` (True Range as method)
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- **Volume**: `accdist`, `cum`, `iii`, `nvi`, `pvi`, `pvt`, `wad`, `wvad`
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- **Oscillators**: `cci`, `cmo`, `cog`, `mfi`, `stoch`, `tsi`, `wpr`
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- **Statistical/Rank**: `correlation`, `barssince`, `valuewhen`, `percentrank`, `percentile_linear_interpolation`, `percentile_nearest_rank`, `mode`, `highestbars`, `lowestbars`
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- Core `bar_index` variable support
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### Changed
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- **Unified Namespace Architecture**: All namespace members (e.g., `ta.tr`, `ta.obv`) are now implemented as methods. The transpiler automatically handles the conversion from property access to method call (e.g., `ta.tr` → `ta.tr()`)
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- Updated `ta.tr` and `ta.obv` to align with the unified method pattern
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### Fixed
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- **`var` keyword semantics**: Implemented correct Pine Script behavior for `var` variables (initialize once, persist state across bars) via `$.initVar`
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- `math.sum` handling of `NaN` values
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- Transpiler handling of tertiary conditions involving Series access
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- `ta.supertrend` calculation logic
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## [0.4.0] - TBD - Request.security implementation and transpiler enhancements
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### Added
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- Support for handling raw .pine.ts indicator code (without context function wrapper)
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- Ability to show original code lines in transpiled code as comments for debugging
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- Comprehensive unit tests for `request.security()` functionality
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- harmonization of Series logic accross the codebase
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### Changed
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‎README.md‎

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## Key Features
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- **Pine Script Compatibility**: Supports Pine Script v5+ syntax and functionality
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- **High Precision**: Aims for the same precision as Pine Script (up to the 8th digit)
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- **Time-Series Processing**: Handles historical data and series operations
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- **Technical Analysis Functions**: Comprehensive set of TA indicators and calculations
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- **Mathematical Operations**: Advanced mathematical functions and precision handling
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## Project Goals
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PineTS aims for **full coverage** of Pine Script functions and capabilities. The ultimate goal is to enable running **original Pine Script code directly** without manual conversion to PineTS syntax.
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- Runtime Transpiler
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- Core Pine Script functions and variables
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- Series and scope management

‎docs/api-coverage/ta.md‎

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| `ta.rma()` | ✅ | Rolling/Running Moving Average |
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| `ta.vwma()` | ✅ | Volume Weighted Moving Average |
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| `ta.alma()` | ✅ | Arnaud Legoux Moving Average |
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| `ta.linreg()` | ✔️ | Linear Regression |
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| `ta.linreg()` | ✅ | Linear Regression |
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| `ta.swma()` | ✅ | Symmetrically Weighted Moving Average |
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| `ta.vwap` | ✅ | Volume Weighted Average Price (variable) |
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| `ta.mom()` | ✅ | Momentum |
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| `ta.roc()` | ✅ | Rate of Change |
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| `ta.macd()` | ✅ | Moving Average Convergence Divergence |
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| `ta.stoch()` | ⬜ | Stochastic Oscillator |
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| `ta.cci()` | ⬜ | Commodity Channel Index |
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| `ta.mfi()` | ⬜ | Money Flow Index |
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| `ta.cmo()` | ⬜ | Chande Momentum Oscillator |
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| `ta.cog()` | ⬜ | Center of Gravity |
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| `ta.tsi()` | ⬜ | True Strength Index |
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| `ta.wpr()` | ⬜ | Williams %R |
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| `ta.stoch()` | ✅ | Stochastic Oscillator |
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| `ta.cci()` | ✅ | Commodity Channel Index |
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| `ta.mfi()` | ✅ | Money Flow Index |
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| `ta.cmo()` | ✅ | Chande Momentum Oscillator |
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| `ta.cog()` | ✅ | Center of Gravity |
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| `ta.tsi()` | ✅ | True Strength Index |
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| `ta.wpr()` | ✅ | Williams %R |
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### Volatility & Range
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| `ta.stdev()` | ✅ | Standard Deviation |
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| `ta.variance()` | ✅ | Variance |
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| `ta.dev()` | ✅ | Mean Absolute Deviation |
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| `ta.tr` | ✔️ | True Range (variable) |
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| `ta.tr()` | ✔️ | True Range (function) |
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| `ta.bb()` | ⬜ | Bollinger Bands |
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| `ta.bbw()` | ⬜ | Bollinger Bands Width |
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| `ta.kc()` | ⬜ | Keltner Channels |
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| `ta.kcw()` | ⬜ | Keltner Channels Width |
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| `ta.range()` | ⬜ | Range |
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| `ta.tr` | ✅ | True Range (variable) |
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| `ta.tr()` | ✅ | True Range (function) |
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| `ta.bb()` | ✅ | Bollinger Bands |
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| `ta.bbw()` | ✅ | Bollinger Bands Width |
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| `ta.kc()` | ✅ | Keltner Channels |
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| `ta.kcw()` | ✅ | Keltner Channels Width |
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| `ta.range()` | ✅ | Range |
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### Trend Analysis
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| Function | Status | Description |
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| ----------------- | ------ | ---------------------------------- |
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| `ta.crossover()` | ✔️ | Crossover Detection |
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| `ta.crossunder()` | ✔️ | Crossunder Detection |
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| `ta.cross()` | ⬜ | Cross Detection (either direction) |
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| `ta.rising()` | ⬜ | Rising Trend Detection |
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| `ta.falling()` | ⬜ | Falling Trend Detection |
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| `ta.dmi()` | ⬜ | Directional Movement Index |
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| `ta.supertrend()` | ✔️ | SuperTrend Indicator |
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| `ta.sar()` | ⬜ | Parabolic SAR |
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| `ta.crossover()` | ✅ | Crossover Detection |
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| `ta.crossunder()` | ✅ | Crossunder Detection |
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| `ta.cross()` | ✅ | Cross Detection (either direction) |
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| `ta.rising()` | ✅ | Rising Trend Detection |
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| `ta.falling()` | ✅ | Falling Trend Detection |
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| `ta.dmi()` | ✅ | Directional Movement Index |
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| `ta.supertrend()` | ✅ | SuperTrend Indicator |
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| `ta.sar()` | ✅ | Parabolic SAR |
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### Volume Indicators
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| Function | Status | Description |
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| `ta.obv` | ⬜ | On-Balance Volume (variable) |
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| `ta.pvt` | ⬜ | Price-Volume Trend (variable) |
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| `ta.wad` | ⬜ | Williams Accumulation/Distribution (variable) |
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| `ta.wvad` | ⬜ | Williams Variable Accumulation/Distribution (variable) |
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| `ta.accdist` | ⬜ | Accumulation/Distribution (variable) |
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| `ta.nvi` | ⬜ | Negative Volume Index (variable) |
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| `ta.pvi` | ⬜ | Positive Volume Index (variable) |
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| `ta.iii` | ⬜ | Intraday Intensity Index (variable) |
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| `ta.obv` | ✅ | On-Balance Volume (variable) |
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| `ta.pvt` | ✅ | Price-Volume Trend (variable) |
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| `ta.wad` | ✅ | Williams Accumulation/Distribution (variable) |
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| `ta.wvad` | ✅ | Williams Variable Accumulation/Distribution (variable) |
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| `ta.accdist` | ✅ | Accumulation/Distribution (variable) |
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| `ta.nvi` | ✅ | Negative Volume Index (variable) |
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| `ta.pvi` | ✅ | Positive Volume Index (variable) |
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| `ta.iii` | ✅ | Intraday Intensity Index (variable) |
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| `ta.highest()` | ✅ | Highest Value |
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| `ta.lowest()` | ✅ | Lowest Value |
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| `ta.median()` | ✅ | Median Value |
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| `ta.mode()` | ⬜ | Mode Value |
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| `ta.highestbars()` | ⬜ | Bars Since Highest |
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| `ta.lowestbars()` | ⬜ | Bars Since Lowest |
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| `ta.percentrank()` | ⬜ | Percentile Rank |
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| `ta.percentile_linear_interpolation()` | ⬜ | Percentile (Linear) |
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| `ta.percentile_nearest_rank()` | ⬜ | Percentile (Nearest Rank) |
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| `ta.correlation()` | ⬜ | Correlation Coefficient |
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| `ta.covariance()` | ⬜ | Covariance |
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| `ta.mode()` | ✅ | Mode Value |
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| `ta.highestbars()` | ✅ | Bars Since Highest |
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| `ta.lowestbars()` | ✅ | Bars Since Lowest |
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| `ta.percentrank()` | ✅ | Percentile Rank |
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| `ta.percentile_linear_interpolation()` | ✅ | Percentile (Linear) |
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| `ta.percentile_nearest_rank()` | ✅ | Percentile (Nearest Rank) |
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| `ta.correlation()` | ✅ | Correlation Coefficient |
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| Function | Status | Description |
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| `ta.valuewhen()` | ⬜ | Value When Condition Met |
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| `ta.barssince()` | ⬜ | Bars Since Condition |
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| `ta.cum()` | ⬜ | Cumulative Sum |
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### Legend
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- ✅ Fully implemented and tested
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- ✔️ Implemented (may need more testing)
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- ⬜ Not yet implemented
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| `ta.valuewhen()` | ✅ | Value When Condition Met |
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| `ta.barssince()` | ✅ | Bars Since Condition |
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| `ta.cum()` | ✅ | Cumulative Sum |
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### Notes
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