PythonPine

A Pine Script-style indicator library in Python using MetaTrader5 OHLCV data — 100+ real-time indicators for algorithmic trading.

About

PythonPine is a comprehensive library that provides 100+ technical indicators implemented in Python, designed to work with MetaTrader5 OHLCV data. The library follows Pine Script conventions, making it familiar to TradingView users while leveraging Python's flexibility for algorithmic trading applications.

Features

100+ technical indicators across multiple categories
Compatible with MetaTrader5 OHLCV data
Pine Script-style function signatures
Real-time calculation capabilities
Optimized for algorithmic trading
Easy-to-use API

Installation

Install PythonPine using pip:

pip install pythonpine

Or install from source:

git clone https://github.com/kshlgrg/pythonpine.git
cd pythonpine
pip install -e .

Basic Usage

import pythonpine as pp

# Example OHLCV data
open_prices = [100, 101, 102, 103, 104]
high_prices = [105, 106, 107, 108, 109]
low_prices = [99, 100, 101, 102, 103]
close_prices = [104, 105, 106, 107, 108]
volume = [1000, 1100, 1200, 1300, 1400]

# Calculate indicators
sma_20 = pp.sma(close_prices, 20)
rsi_14 = pp.rsi(close_prices, 14)
macd_line, signal_line, histogram = pp.macd(close_prices, 12, 26, 9)

# Use with MetaTrader5 data
import MetaTrader5 as mt5

# Initialize MT5 connection
if not mt5.initialize():
    print("Initialize() failed")
    quit()

# Get historical data
rates = mt5.copy_rates_from_pos("EURUSD", mt5.TIMEFRAME_M1, 0, 1000)
close_prices = [rate['close'] for rate in rates]

# Calculate indicators
rsi = pp.rsi(close_prices, 14)
print(f"Current RSI: {rsi[-1]}")

Detailed API Reference

Trend Indicators (`trend.py`)

Function	Signature	Inputs	Description
`sma`	`sma(priceList, length=14)`	`priceList`: List of prices `length`: Period	Simple Moving Average.
`dema`	`dema(priceList, length=14)`	`priceList`: List of prices `length`: Period	Double Exponential Moving Average.
`tema`	`tema(priceList, length=14)`	`priceList`: List of prices `length`: Period	Triple Exponential Moving Average.
`wma`	`wma(priceList, length=14)`	`priceList`: List of prices `length`: Period	Weighted Moving Average.
`hma`	`hma(priceList, length=14)`	`priceList`: List of prices `length`: Period	Hull Moving Average.
`vwma`	`vwma(priceList, volumeList, length=14)`	`priceList`: List of prices `volumeList`: List of volumes `length`: Period	Volume Weighted Moving Average.
`kama`	`kama(priceList, length=10, fastend=2, slowend=30)`	`priceList`: List of prices `length`: Period `fastend`: Fast SC `slowend`: Slow SC	Kaufman Adaptive Moving Average.
`supertrend`	`supertrend(highList, lowList, closeList, period=10, multiplier=3.0)`	`highList`, `lowList`, `closeList`: Price lists `period`: ATR period `multiplier`: ATR multiplier	SuperTrend indicator. Returns trend direction (1 or -1).
`vortex_indicator`	`vortex_indicator(highList, lowList, closeList, length=14)`	`highList`, `lowList`, `closeList`: Price lists `length`: Period	Vortex Indicator. Returns `(vi_plus, vi_minus)`.
`aroon`	`aroon(highList, lowList, length=14)`	`highList`, `lowList`: Price lists `length`: Period	Aroon Up/Down indicator. Returns `(aroon_up, aroon_down)`.
`linear_regression`	`linear_regression(priceList, length=14)`	`priceList`: List of prices `length`: Period	Linear Regression Line (Endpoint Moving Average).
`donchian_channel`	`donchian_channel(highList, lowList, length=20)`	`highList`, `lowList`: Price lists `length`: Period	Donchian Channel. Returns `(upper, lower, mid)`.
`fama`	`fama(priceList, length=10)`	`priceList`: List of prices `length`: Period	Fractal Adaptive Moving Average (Wrapper for KAMA).
`moving_average_envelope`	`moving_average_envelope(priceList, length=20, percent=2.5)`	`priceList`: List of prices `length`: Period `percent`: Envelope percentage	Moving Average Envelope. Returns `(upper, lower, ma)`.
`ichimoku_cloud`	`ichimoku_cloud(highList, lowList, closeList, tenkan=9, kijun=26, senkou=52)`	`highList`, `lowList`, `closeList`: Price lists `tenkan`, `kijun`, `senkou`: Periods	Ichimoku Cloud. Returns `(conversion, base, span_a, span_b, lagging)`.
`parabolic_sar`	`parabolic_sar(highList, lowList, step=0.02, max_af=0.2)`	`highList`, `lowList`: Price lists `step`: Acceleration step `max_af`: Max acceleration	Parabolic SAR. Returns list of SAR values.
`guppy_mma`	`guppy_mma(priceList)`	`priceList`: List of prices	Guppy Multiple Moving Averages. Returns `(short_emas, long_emas)`.
`ma_slope_angle`	`ma_slope_angle(maList)`	`maList`: List of moving average values	Moving Average Slope Angle in degrees.
`zero_lag_ema`	`zero_lag_ema(priceList, length=14)`	`priceList`: List of prices `length`: Period	Zero-Lag EMA.
`median_price`	`median_price(highList, lowList)`	`highList`, `lowList`: Price lists	Median Price `(High + Low) / 2`.
`typical_price`	`typical_price(highList, lowList, closeList)`	`highList`, `lowList`, `closeList`: Price lists	Typical Price `(High + Low + Close) / 3`.

Momentum Indicators (`momentum.py`)

Function	Signature	Inputs	Description
`williams_percent_r`	`williams_percent_r(closeList, highList, lowList, period=14)`	`closeList`, `highList`, `lowList`: Price lists `period`: Lookback	Williams %R.
`dmi_adx`	`dmi_adx(highList, lowList, closeList, period=14)`	`highList`, `lowList`, `closeList`: Price lists `period`: Lookback	DMI/ADX indicator. Returns `(plus_di, minus_di, adx)`.
`momentum`	`momentum(closeList, period=10)`	`closeList`: List of prices `period`: Lookback	Momentum Indicator (Price difference).
`elder_impulse`	`elder_impulse(closeList, ema_period=13, macd_fast=12, macd_slow=26)`	`closeList`: Price list `ema_period`: EMA Period `macd_fast/slow`: MACD settings	Elder Impulse System. Returns list of 1 (Green), -1 (Red), 0 (Blue).
`schaff_trend_cycle`	`schaff_trend_cycle(closeList, fast=23, slow=50, cycle=10)`	`closeList`: Price list `fast/slow`: MACD settings `cycle`: Stoch cycle	Schaff Trend Cycle.
`chande_momentum_oscillator`	`chande_momentum_oscillator(closeList, period=14)`	`closeList`: Price list `period`: Lookback	Chande Momentum Oscillator.
`relative_vigor_index`	`relative_vigor_index(openList, highList, lowList, closeList, period=10)`	`openList`, `highList`, `lowList`, `closeList`: Price lists `period`: Lookback	Relative Vigor Index. Returns `(rvi, signal)`.
`rsi`	`rsi(closeList, period=14)`	`closeList`: Price list `period`: Lookback	Relative Strength Index.
`stoch_rsi`	`stoch_rsi(closeList, rsi_period=14, stoch_period=14)`	`closeList`: Price list `rsi_period`: RSI Period `stoch_period`: Stoch Period	Stochastic RSI.
`stochastic_oscillator`	`stochastic_oscillator(closeList, highList, lowList, period=14)`	`closeList`, `highList`, `lowList`: Price lists `period`: Lookback	Stochastic Oscillator %K.
`macd`	`macd(closeList, fast=12, slow=26, signal=9)`	`closeList`: Price list `fast`: Fast EMA `slow`: Slow EMA `signal`: Signal EMA	MACD. Returns `(macd_line, signal_line, histogram)`.
`roc`	`roc(closeList, period=12)`	`closeList`: Price list `period`: Lookback	Rate of Change (Percentage).
`cci`	`cci(closeList, highList, lowList, period=20)`	`closeList`, `highList`, `lowList`: Price lists `period`: Lookback	Commodity Channel Index.
`trix`	`trix(closeList, period=15)`	`closeList`: Price list `period`: Lookback	TRIX (Triple Exponential Average).
`ultimate_oscillator`	`ultimate_oscillator(closeList, highList, lowList, s1=7, s2=14, s3=28)`	`closeList`, `highList`, `lowList`: Price lists `s1, s2, s3`: Periods	Ultimate Oscillator.
`true_strength_index`	`true_strength_index(closeList, long=25, short=13)`	`closeList`: Price list `long`: Long smoothing `short`: Short smoothing	True Strength Index (TSI).
`connors_rsi`	`connors_rsi(closeList, rsi_period=3, streak_rsi_period=2, rank_period=100)`	`closeList`: Price list Periods for calculation	Connors RSI (Composite of RSI, Streak RSI, and Rank).
`rsx`	`rsx(closeList, period=14)`	`closeList`: Price list `period`: Lookback	RSX (Smoothed RSI approximation).
`slope_of_ema`	`slope_of_ema(closeList, period=14)`	`closeList`: Price list `period`: EMA Period	Slope of EMA.
`directional_trend_index`	`directional_trend_index(closeList, period=14)`	`closeList`: Price list `period`: Lookback	Directional Trend Index.

Volatility Indicators (`volatility.py`)

Function	Signature	Inputs	Description
`atr`	`atr(highList, lowList, closeList, period=14)`	`highList`, `lowList`, `closeList`: Price lists `period`: Lookback	Average True Range.
`bollinger_bands`	`bollinger_bands(priceList, period=20, stddev=2)`	`priceList`: List of prices `period`: SMA Period `stddev`: Std Dev Multiplier	Bollinger Bands. Returns `(upper, lower, mid)`.
`keltner_channel`	`keltner_channel(highList, lowList, closeList, period=20, multiplier=2)`	`highList`, `lowList`, `closeList`: Price lists `period`: EMA Period `multiplier`: ATR Multiplier	Keltner Channel. Returns `(upper, lower, mid)`.
`donchian_channel_width`	`donchian_channel_width(highList, lowList, period=20)`	`highList`, `lowList`: Price lists `period`: Lookback	Width of Donchian Channel.
`true_range`	`true_range(highList, lowList, closeList)`	`highList`, `lowList`, `closeList`: Price lists	True Range for each bar.
`standard_deviation`	`standard_deviation(priceList, period=20)`	`priceList`: List of prices `period`: Lookback	Rolling Standard Deviation.
`chaikin_volatility`	`chaikin_volatility(highList, lowList, period=10)`	`highList`, `lowList`: Price lists `period`: Lookback	Chaikin Volatility.
`bollinger_percent_b`	`bollinger_percent_b(priceList, period=20, stddev=2)`	`priceList`: List of prices `period`: SMA Period `stddev`: Multiplier	Bollinger %B (position within bands).
`historical_volatility`	`historical_volatility(priceList, period=20)`	`priceList`: List of prices `period`: Lookback	Annualized Historical Volatility.
`relative_volatility_index`	`relative_volatility_index(stddevList, up_stddev, down_stddev, period=14)`	`stddevList`: List of std devs `period`: Lookback	Relative Volatility Index.
`normalized_atr`	`normalized_atr(atrList, priceList)`	`atrList`: ATR values `priceList`: Prices	ATR normalized by price.
`volatility_ratio`	`volatility_ratio(atrList, period=14)`	`atrList`: ATR values `period`: SMA Period	Ratio of current ATR to its moving average.
`atr_percent`	`atr_percent(atrList, priceList)`	`atrList`: ATR values `priceList`: Prices	ATR as a percentage of price.
`ulcer_index`	`ulcer_index(priceList, period=14)`	`priceList`: List of prices `period`: Lookback	Ulcer Index (Risk measure).
`mass_index`	`mass_index(highList, lowList, ema_period=9)`	`highList`, `lowList`: Price lists `ema_period`: Period	Mass Index.
`garman_klass_volatility`	`garman_klass_volatility(openList, highList, lowList, closeList, period=10)`	`openList`, `highList`, `lowList`, `closeList`: Price lists `period`: Lookback	Garman-Klass Volatility estimator.
`parkinson_volatility`	`parkinson_volatility(highList, lowList, period=10)`	`highList`, `lowList`: Price lists `period`: Lookback	Parkinson Volatility estimator.
`range_based_volatility`	`range_based_volatility(highList, lowList, closeList)`	`highList`, `lowList`, `closeList`: Price lists	Simple Range-Based Volatility.

Volume Indicators (`volume.py`)

Function	Signature	Inputs	Description
`obv`	`obv(closeList, volumeList)`	`closeList`: Prices `volumeList`: Volumes	On-Balance Volume.
`vwap`	`vwap(highList, lowList, closeList, volumeList)`	`highList`, `lowList`, `closeList`: Prices `volumeList`: Volumes	Volume Weighted Average Price (Cumulative).
`adl`	`adl(highList, lowList, closeList, volumeList)`	`highList`, `lowList`, `closeList`: Prices `volumeList`: Volumes	Accumulation/Distribution Line.
`cmf`	`cmf(highList, lowList, closeList, volumeList, period=20)`	`highList`, `lowList`, `closeList`: Prices `volumeList`: Volumes `period`: Lookback	Chaikin Money Flow.
`volume_oscillator`	`volume_oscillator(volumeList, short_period=14, long_period=28)`	`volumeList`: Volumes `short_period`, `long_period`: Periods	Volume Oscillator (Percentage difference between MAs).
`force_index`	`force_index(closeList, volumeList)`	`closeList`: Prices `volumeList`: Volumes	Force Index.
`mfi`	`mfi(highList, lowList, closeList, volumeList, period=14)`	`highList`, `lowList`, `closeList`: Prices `volumeList`: Volumes `period`: Lookback	Money Flow Index.
`ease_of_movement`	`ease_of_movement(highList, lowList, volumeList, period=14)`	`highList`, `lowList`: Prices `volumeList`: Volumes `period`: Lookback	Ease of Movement.
`volume_roc`	`volume_roc(volumeList, period=14)`	`volumeList`: Volumes `period`: Lookback	Volume Rate of Change.
`volume_delta`	`volume_delta(buy_volume, sell_volume)`	`buy_volume`, `sell_volume`: Volume lists	Difference between buy and sell volume.
`intraday_intensity`	`intraday_intensity(closeList, highList, lowList, volumeList, period=14)`	`closeList`, `highList`, `lowList`: Prices `volumeList`: Volumes `period`: Lookback	Intraday Intensity Index.
`price_volume_trend`	`price_volume_trend(closeList, volumeList)`	`closeList`: Prices `volumeList`: Volumes	Price Volume Trend (PVT).
`vw_macd`	`vw_macd(closeList, volumeList, short_period=12, long_period=26, signal_period=9)`	`closeList`: Prices `volumeList`: Volumes MACD settings	Volume-Weighted MACD. Returns `(macd, signal, hist)`.
`smoothed_obv`	`smoothed_obv(obvList, period=14)`	`obvList`: OBV values `period`: EMA Period	Smoothed On-Balance Volume.
`klinger_oscillator`	`klinger_oscillator(highList, lowList, closeList, volumeList, fast=34, slow=55, signal=13)`	Prices, Volumes, Settings	Klinger Volume Oscillator. Returns `(kvo, signal)`.
`volume_flow_indicator`	`volume_flow_indicator(closeList, volumeList, period=130, coef=0.2)`	Prices, Volumes, Settings	Volume Flow Indicator (VFI).
`pvi`	`pvi(closeList, volumeList)`	Prices, Volumes	Positive Volume Index.
`nvi`	`nvi(closeList, volumeList)`	Prices, Volumes	Negative Volume Index.

Price Action Indicators (`price_action.py`)

Function	Signature	Inputs	Description
`pivot_points`	`pivot_points(high, low, close, method='classic')`	Single high, low, close values `method`: 'classic', 'fibonacci', 'camarilla'	Returns dictionary of pivot levels (pp, r1, s1, etc.).
`price_roc`	`price_roc(priceList, period=14, scale=True)`	`priceList`: Prices `period`: Lookback	Price Rate of Change.
`zigzag`	`zigzag(priceList, threshold=5.0, use_percentage=True)`	`priceList`: Prices `threshold`: Change threshold	ZigZag indicator. Returns filtered points.
`heikin_ashi`	`heikin_ashi(openList, highList, lowList, closeList)`	Prices	Heikin Ashi candles. Returns `(ha_open, ha_high, ha_low, ha_close)`.
`renko_boxes`	`renko_boxes(closeList, box_size=1.0, show_full_boxes=False)`	`closeList`: Prices `box_size`: Box size	Renko Boxes. Returns list of box prices.
`detect_engulfing`	`detect_engulfing(openList, closeList, require_body_ratio=1.0)`	Prices	Returns 1 (Bullish), -1 (Bearish), 0 (None).
`detect_pin_bar`	`detect_pin_bar(openList, highList, lowList, closeList, wick_ratio=2.0)`	Prices	Returns 1 (Bullish Pin Bar), -1 (Bearish Pin Bar), 0 (None).
`detect_double_top_bottom`	`detect_double_top_bottom(highList, lowList, threshold=0.005, min_spacing=2)`	Prices	Returns `(tops, bottoms)` indices.
`support_resistance_zones`	`support_resistance_zones(highList, lowList, sensitivity=5, method='pivot')`	Prices	Returns `(support_indices, resistance_indices)`.
`detect_doji`	`detect_doji(openList, closeList, highList, lowList, body_threshold=0.1)`	Prices	Returns 1 if Doji detected, else 0.
`detect_inside_outside_bars`	`detect_inside_outside_bars(highList, lowList)`	Prices	Returns 1 (Inside), -1 (Outside), 0 (None).
`detect_marubozu`	`detect_marubozu(openList, closeList, highList, lowList, tolerance=0.1)`	Prices	Returns 1 (Bullish), -1 (Bearish), 0 (None).
`detect_three_bar_reversal`	`detect_three_bar_reversal(closeList)`	Prices	Returns 1 (Bullish), -1 (Bearish), 0 (None).
`detect_fractals`	`detect_fractals(highList, lowList, window=2)`	Prices	Returns `(fractal_high_indices, fractal_low_indices)`.
`bar_range_ratio`	`bar_range_ratio(openList, closeList, highList, lowList)`	Prices	Ratio of body to total range.
`wick_ratio`	`wick_ratio(openList, closeList, highList, lowList)`	Prices	Ratio of wicks to total range.
`high_low_breakout`	`high_low_breakout(priceList, lookback=20)`	Prices	Returns 1 (High Breakout), -1 (Low Breakout), 0 (None).
`trend_candle_strength`	`trend_candle_strength(openList, closeList, length=20)`	Prices	Percentage of bullish candles in lookback period.
`price_action_score`	`price_action_score(...)`	various pattern arrays	Composite score of price action signals.

Cycle Indicators (`cycles.py`)

Function	Signature	Inputs	Description
`fisher_transform`	`fisher_transform(source_type="hl2", ...)`	Source type, settings	Fisher Transform values.
`hilbert_transform`	`hilbert_transform(priceList)`	Prices	Quadrature component of Hilbert Transform.
`ht_sine`	`ht_sine(priceList)`	Prices	Hilbert Transform SineWave. Returns `(sine, leadsine)`.
`ht_phase`	`ht_phase(priceList)`	Prices	Instantaneous Phase in degrees.
`ht_trendline`	`ht_trendline(priceList, alpha=0.07)`	Prices	Hilbert Transform Trendline.
`ht_dominant_cycle`	`ht_dominant_cycle(priceList, min_period=10, max_period=50)`	Prices	Dominant Cycle Period.
`ht_itrend`	`ht_itrend(priceList, alpha=0.07)`	Prices	Instantaneous Trendline.
`detrended_price_oscillator`	`detrended_price_oscillator(priceList, length=14)`	Prices	Detrended Price Oscillator.
`laguerre_rsi`	`laguerre_rsi(priceList, gamma=0.5)`	Prices	Laguerre RSI.
`qstick`	`qstick(openList, closeList, length=14)`	Prices	QStick Indicator.
`stochastic_momentum_index`	`stochastic_momentum_index(closeList, highList, lowList, length=14...)`	Prices	SMI. Returns `(smi_k, smi_d)`.
`adaptive_cycle_divergence`	`adaptive_cycle_divergence(priceList)`	Prices	Adaptive Cycle Divergence.
`phase_accumulation_cycle`	`phase_accumulation_cycle(priceList)`	Prices	Phase Accumulation Cycle Period.
`inverse_fisher_transform`	`inverse_fisher_transform(series)`	Series	Inverse Fisher Transform.
`mama_fama`	`mama_fama(priceList, ...)`	Prices	MESA Adaptive Moving Average. Returns `(mama, fama)`.
`super_smoother`	`super_smoother(priceList, period)`	Prices	Super Smoother Filter.
`roofing_filter`	`roofing_filter(priceList)`	Prices	Roofing Filter.
`center_of_gravity`	`center_of_gravity(priceList, length=10)`	Prices	Center of Gravity Oscillator.
`bandpass_filter`	`bandpass_filter(priceList, period, bandwidth=0.3)`	Prices	Bandpass Filter.
`dc_based_rsi`	`dc_based_rsi(priceList, cycleList)`	Prices, Cycle Lengths	RSI with adaptive cycle length.
`cyber_cycle`	`cyber_cycle(priceList, alpha=0.07)`	Prices	Cyber Cycle.

Statistical Indicators (`statistical.py`)

Function	Signature	Inputs	Description
`z_score`	`z_score(priceList, period=20)`	`priceList`, `period`	Z-Score of price relative to moving average/std.
`rolling_mean_std`	`rolling_mean_std(priceList, period=20)`	`priceList`, `period`	Returns `(means, stds)`.
`skewness_kurtosis`	`skewness_kurtosis(priceList, period=20)`	`priceList`, `period`	Returns `(skewness, kurtosis)`.
`percentile_rank`	`percentile_rank(priceList, period=20)`	`priceList`, `period`	Percentile rank of current price in window.
`median_absolute_deviation`	`median_absolute_deviation(priceList, period=20)`	`priceList`, `period`	MAD (Median Absolute Deviation).

Experimental Indicators (`experimental.py`)

Function	Signature	Inputs	Description
`fractal_dimension`	`fractal_dimension(priceList, period=10)`	`priceList`, `period`	Fractal Dimension Index (Katz).
`kalman_filter_slope`	`kalman_filter_slope(priceList, R=0.01, Q=0.001)`	`priceList`, settings	Slope of Kalman Filter estimate.
`hurst_exponent`	`hurst_exponent(priceList, max_lag=20)`	`priceList`	Hurst Exponent.
`shannon_entropy`	`shannon_entropy(priceList, period=20)`	`priceList`, `period`	Shannon Entropy of price distribution.
`kl_divergence`	`kl_divergence(priceList, period=20)`	`priceList`, `period`	KL Divergence against normal distribution.
`tsf`	`tsf(priceList, period=14)`	`priceList`, `period`	Time Series Forecast (Linear Regression value).
`roofing_filter`	`roofing_filter(priceList)`	`priceList`	Ehlers Roofing Filter (duplicate in cycles, verify usage).
`smoothed_heikin_ashi`	`smoothed_heikin_ashi(closeList, openList, period=10)`	Prices	Smoothed Heikin Ashi Oscillator.

Time/Session Indicators (`time_session.py`)

Function	Signature	Inputs	Description
`normalized_time_of_day`	`normalized_time_of_day(timestamps)`	`timestamps` (datetime)	Time of day normalized 0-1.
`session_high_low`	`session_high_low(highList, lowList, start, end)`	Prices, indices	High/Low for specific session.
`session_overlay_flags`	`session_overlay_flags(timestamps)`	`timestamps`	Returns flags `(asia, london, ny)`.
`day_of_week`	`day_of_week(timestamps)`	`timestamps`	Returns day of week integer (0=Mon).
`time_since_last_extreme`	`time_since_last_extreme(priceList, extreme='high')`	Prices, type	Bars since last high/low.

Meta/Composite Indicators (`meta.py`)

Function	Signature	Inputs	Description
`ma_crossover_count`	`ma_crossover_count(fast_ma, slow_ma)`	MA lists	Count of crossovers.
`indicator_consensus`	`indicator_consensus(*signals)`	Multiple signal lists	Average of signals.
`momentum_volatility_score`	`momentum_volatility_score(mom, vol)`	Indicator lists	Product of momentum and volatility.
`trend_strength_score`	`trend_strength_score(priceList, period=14)`	`priceList`	Average gain over period.
`macd_histogram_angle`	`macd_histogram_angle(macd_hist)`	MACD Hist list	Angle of histogram change.
`rsi_divergence_count`	`rsi_divergence_count(priceList, rsiList, lookback)`	Prices, RSI	Count of simple divergences.
`volume_spike`	`volume_spike(volumeList, multiplier=2.0)`	`volumeList`	Returns 1 if volume spike detected.
`mtf_ema_alignment`	`mtf_ema_alignment(ema_short, ema_mid, ema_long)`	MA lists	Returns 1 if Short > Mid > Long.
`trend_reversal_likelihood`	`trend_reversal_likelihood(priceList, rsiList)`	Prices, RSI	Simple reversal heuristic.
`consolidation_detector`	`consolidation_detector(priceList, period, threshold)`	Prices	Returns 1 if volatility (std dev) is low.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Disclaimer

This library is for educational and research purposes. Trading involves risk, and past performance does not guarantee future results. Always do your own research before making trading decisions.

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PythonPine

A Pine Script-style indicator library in Python using MetaTrader5 OHLCV data — 100+ real-time indicators for algorithmic trading.

About

Features

Installation

Basic Usage

Detailed API Reference

Trend Indicators (`trend.py`)

Momentum Indicators (`momentum.py`)

Volatility Indicators (`volatility.py`)

Volume Indicators (`volume.py`)

Price Action Indicators (`price_action.py`)

Cycle Indicators (`cycles.py`)

Statistical Indicators (`statistical.py`)

Experimental Indicators (`experimental.py`)

Time/Session Indicators (`time_session.py`)

Meta/Composite Indicators (`meta.py`)

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Name		Name	Last commit message	Last commit date
Latest commit History 44 Commits
.github/workflows		.github/workflows
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
__init__.py		__init__.py
cycles.py		cycles.py
experimental.py		experimental.py
meta.py		meta.py
momentum.py		momentum.py
price_action.py		price_action.py
price_fetcher.py		price_fetcher.py
settings.json		settings.json
setup.py		setup.py
statistical.py		statistical.py
time_session.py		time_session.py
trend.py		trend.py
volatility.py		volatility.py
volume.py		volume.py

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kshlgrg/pythonpine

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PythonPine

A Pine Script-style indicator library in Python using MetaTrader5 OHLCV data — 100+ real-time indicators for algorithmic trading.

About

Features

Installation

Basic Usage

Detailed API Reference

Trend Indicators (trend.py)

Momentum Indicators (momentum.py)

Volatility Indicators (volatility.py)

Volume Indicators (volume.py)

Price Action Indicators (price_action.py)

Cycle Indicators (cycles.py)

Statistical Indicators (statistical.py)

Experimental Indicators (experimental.py)

Time/Session Indicators (time_session.py)

Meta/Composite Indicators (meta.py)

License

Disclaimer

About

Topics

Resources

License

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Stars

Watchers

Forks

Releases 3

Packages 0

Contributors 2

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Languages

Trend Indicators (`trend.py`)

Momentum Indicators (`momentum.py`)

Volatility Indicators (`volatility.py`)

Volume Indicators (`volume.py`)

Price Action Indicators (`price_action.py`)

Cycle Indicators (`cycles.py`)

Statistical Indicators (`statistical.py`)

Experimental Indicators (`experimental.py`)

Time/Session Indicators (`time_session.py`)

Meta/Composite Indicators (`meta.py`)

Packages