PINE LIBRARY
ChatgptLibrary
Library "ChatgptLibrary"
TODO: add library description here
effective_period(high_series, low_series, volume_series, period_length, lookback_length, max_search)
Calculates adaptive effective period.
Parameters:
high_series (float): High price series.
low_series (float): Low price series.
volume_series (float): Volume series.
period_length (simple int): Base period.
lookback_length (simple int): EMA lookback multiplier.
max_search (int): Maximum search distance.
Returns: Adaptive effective period.
adaptive_ema(source, high_series, low_series, volume_series, period_length, lookback_length, max_search)
Adaptive EMA using effective period.
Parameters:
source (float): Source series.
high_series (float): High price series.
low_series (float): Low price series.
volume_series (float): Volume series.
period_length (simple int): Base period.
lookback_length (simple int): EMA lookback multiplier.
max_search (int): Maximum search distance.
Returns: Adaptive EMA, alpha and effective period.
adaptive_channel(high_series, low_series, volume_series, period_length, lookback_length, smooth_length, max_search)
Adaptive price channel.
Parameters:
high_series (float): High price series.
low_series (float): Low price series.
volume_series (float): Volume series.
period_length (simple int): Base period.
lookback_length (simple int): EMA lookback multiplier.
smooth_length (simple int): EMA smoothing.
max_search (int): Maximum search distance.
Returns: Effective period, upper, lower, middle and width.
adaptive_rsi(source, high_series, low_series, volume_series, period_length, lookback_length, max_search)
Adaptive RSI.
Parameters:
source (float): Source series.
high_series (float): High price series.
low_series (float): Low price series.
volume_series (float): Volume series.
period_length (simple int): Base period.
lookback_length (simple int): EMA lookback multiplier.
max_search (int): Maximum search distance.
Returns: Adaptive RSI and effective period.
adaptive_atr(high_series, low_series, close_series, volume_series, period_length, lookback_length, max_search)
Adaptive ATR.
Parameters:
high_series (float): High price series.
low_series (float): Low price series.
close_series (float): Close price series.
volume_series (float): Volume series.
period_length (simple int): Base period.
lookback_length (simple int): EMA lookback multiplier.
max_search (int): Maximum search distance.
Returns: Adaptive ATR and effective period.
adaptive_macd(source, high_series, low_series, volume_series, fast_period, slow_period, signal_period, lookback_length, max_search)
Adaptive MACD.
Parameters:
source (float): Source series.
high_series (float): High price series.
low_series (float): Low price series.
volume_series (float): Volume series.
fast_period (simple int): Fast adaptive period.
slow_period (simple int): Slow adaptive period.
signal_period (int): Signal EMA period.
lookback_length (simple int): EMA lookback multiplier.
max_search (int): Maximum search distance.
Returns: MACD, Signal, Histogram.
adaptive_bollinger(source, high_series, low_series, volume_series, period_length, deviation, lookback_length, max_search)
Adaptive Bollinger Bands.
Parameters:
source (float): Source series.
high_series (float): High price series.
low_series (float): Low price series.
volume_series (float): Volume series.
period_length (simple int): Base period.
deviation (float): Standard deviation multiplier.
lookback_length (simple int): EMA lookback multiplier.
max_search (int): Maximum search distance.
Returns: Upper band, Middle band, Lower band, Band width and Effective period.
adaptive_supertrend(high_series, low_series, close_series, volume_series, period_length, multiplier, lookback_length, max_search)
Adaptive SuperTrend.
Parameters:
high_series (float): High price series.
low_series (float): Low price series.
close_series (float): Close price series.
volume_series (float): Volume series.
period_length (simple int): Base period.
multiplier (float): ATR multiplier.
lookback_length (simple int): EMA lookback multiplier.
max_search (int): Maximum search distance.
Returns: SuperTrend, Trend Direction and Effective Period.
adaptive_donchian(high_series, low_series, volume_series, period_length, lookback_length, max_search)
Adaptive Donchian Channel.
Parameters:
high_series (float): High price series.
low_series (float): Low price series.
volume_series (float): Volume series.
period_length (simple int): Base period.
lookback_length (simple int): EMA lookback multiplier.
max_search (int): Maximum search distance.
Returns: Upper band, Lower band, Middle line, Width and Effective period.
adaptive_keltner(source, high_series, low_series, close_series, volume_series, period_length, multiplier, lookback_length, max_search)
Adaptive Keltner Channel.
Parameters:
source (float): Source series.
high_series (float): High price series.
low_series (float): Low price series.
close_series (float): Close price series.
volume_series (float): Volume series.
period_length (simple int): Base period.
multiplier (float): ATR multiplier.
lookback_length (simple int): EMA lookback multiplier.
max_search (int): Maximum search distance.
Returns: Upper band, Middle band, Lower band, Width and Effective period.
adaptive_adx(high_series, low_series, close_series, volume_series, period_length, lookback_length, max_search)
Adaptive ADX.
Parameters:
high_series (float): High price series.
low_series (float): Low price series.
close_series (float): Close price series.
volume_series (float): Volume series.
period_length (simple int): Base period.
lookback_length (simple int): EMA lookback multiplier.
max_search (int): Maximum search distance.
Returns: ADX, +DI, -DI and Effective Period.
adaptive_stochastic(close_series, high_series, low_series, volume_series, period_length, smooth_k, smooth_d, lookback_length, max_search)
Adaptive Stochastic.
Parameters:
close_series (float): Close price series.
high_series (float): High price series.
low_series (float): Low price series.
volume_series (float): Volume series.
period_length (simple int): Base period.
smooth_k (int): K smoothing.
smooth_d (int): D smoothing.
lookback_length (simple int): EMA lookback multiplier.
max_search (int): Maximum search distance.
Returns: K, D and Effective Period.
adaptive_cci(high_series, low_series, close_series, volume_series, period_length, lookback_length, max_search)
Adaptive Commodity Channel Index.
Parameters:
high_series (float): High price series.
low_series (float): Low price series.
close_series (float): Close price series.
volume_series (float): Volume series.
period_length (simple int): Base period.
lookback_length (simple int): EMA lookback multiplier.
max_search (int): Maximum search distance.
Returns: CCI and Effective Period.
adaptive_williams_r(high_series, low_series, close_series, volume_series, period_length, lookback_length, max_search)
Adaptive Williams %R.
Parameters:
high_series (float): High price series.
low_series (float): Low price series.
close_series (float): Close price series.
volume_series (float): Volume series.
period_length (simple int): Base period.
lookback_length (simple int): EMA lookback multiplier.
max_search (int): Maximum search distance.
Returns: Williams %R and Effective Period.
adaptive_roc(source, high_series, low_series, volume_series, period_length, lookback_length, max_search)
Adaptive Rate of Change.
Parameters:
source (float): Source series.
high_series (float): High price series.
low_series (float): Low price series.
volume_series (float): Volume series.
period_length (simple int): Base period.
lookback_length (simple int): EMA lookback multiplier.
max_search (int): Maximum search distance.
Returns: ROC and Effective Period.
adaptive_pivot(source, left_bars, right_bars)
Adaptive Pivot Detector.
Parameters:
source (float): Source series.
left_bars (int): Left pivot bars.
right_bars (int): Right pivot bars.
Returns: Pivot High, Pivot Low, Pivot High Price, Pivot Low Price.
adaptive_divergence(price_source, indicator_source, pivot_length)
Adaptive Divergence Detector.
Parameters:
price_source (float): Price series.
indicator_source (float): Indicator series.
pivot_length (int): Pivot length.
Returns: Bullish divergence, Bearish divergence and Divergence strength.
adaptive_pivot_divergence(price_source, signal_source, pivot_length)
Adaptive Pivot Divergence Detector.
Parameters:
price_source (float): Price series.
signal_source (float): Indicator series.
pivot_length (int): Pivot length.
Returns: Bullish divergence, Bearish divergence and Divergence strength.
adaptive_flat_channel(upper_channel, lower_channel, flat_length, tolerance)
Adaptive Flat Channel Detector.
Parameters:
upper_channel (float): Upper channel.
lower_channel (float): Lower channel.
flat_length (int): Number of bars to evaluate.
tolerance (float): Maximum allowed movement.
Returns: Flat upper, Flat lower and Flat channel.
adaptive_breakout_strength(close_series, upper_channel, lower_channel, channel_width, volume_series, volume_length)
Adaptive Breakout Strength.
Parameters:
close_series (float): Close price.
upper_channel (float): Upper channel.
lower_channel (float): Lower channel.
channel_width (float): Channel width.
volume_series (float): Volume.
volume_length (simple int): Volume EMA length.
Returns: Breakout direction and Breakout strength.
adaptive_channel_rejection(open_series, high_series, low_series, close_series, upper_channel, lower_channel)
Adaptive Channel Rejection.
Parameters:
open_series (float): Open price.
high_series (float): High price.
low_series (float): Low price.
close_series (float): Close price.
upper_channel (float): Upper channel.
lower_channel (float): Lower channel.
Returns: Rejection direction and Rejection strength.
adaptive_channel_compression(channel_width, compression_length)
Adaptive Channel Compression.
Parameters:
channel_width (float): Width of the channel.
compression_length (simple int): Number of bars.
Returns: Compression ratio, Is compressing, Is expanding.
adaptive_market_energy(channel_width, volume_series, volume_length)
Adaptive Market Energy.
Parameters:
channel_width (float): Width of channel.
volume_series (float): Volume series.
volume_length (simple int): Volume EMA length.
Returns: Energy score.
adaptive_market_phase(adx, rsi, compression_ratio, breakout_strength)
Adaptive Market Phase.
Parameters:
adx (float): Adaptive ADX.
rsi (float): Adaptive RSI.
compression_ratio (float): Channel compression ratio.
breakout_strength (float): Breakout strength.
Returns: Market phase.
adaptive_rsi_zigzag(rsi_series, center_level, lookback_length)
Adaptive RSI Zigzag Detector.
Parameters:
rsi_series (float): RSI series.
center_level (float): Center level.
lookback_length (int): Number of bars.
Returns: Zigzag count and Zigzag detected.
adaptive_flat_level(level_series, flat_length, tolerance)
Adaptive Flat Level Detector.
Parameters:
level_series (float): Channel upper or lower series.
flat_length (int): Number of bars.
tolerance (float): Maximum allowed movement.
Returns: Flat state and Flat strength.
adaptive_level_strength(level_series, high_series, low_series, tolerance, lookback_length)
Adaptive Level Strength.
Parameters:
level_series (float): Support or resistance level.
high_series (float): High price series.
low_series (float): Low price series.
tolerance (float): Touch tolerance.
lookback_length (int): Number of bars.
Returns: Touch count and Level strength.
adaptive_breakout_probability(breakout_strength, level_strength, compression_ratio, volume_ratio)
Adaptive Breakout Probability.
Parameters:
breakout_strength (float): Breakout strength.
level_strength (float): Level strength.
compression_ratio (float): Channel compression ratio.
volume_ratio (float): Volume ratio.
Returns: Breakout probability.
adaptive_reversal_probability(rsi, divergence_strength, rejection_strength, flat_strength, channel_width_percent)
Adaptive Reversal Probability.
Parameters:
rsi (float): Relative Strength Index.
divergence_strength (float): Divergence strength.
rejection_strength (float): Rejection strength.
flat_strength (float): Flat level strength.
channel_width_percent (float): Channel width percentage.
Returns: Reversal probability.
adaptive_trend_exhaustion(rsi, adx, momentum, roc)
Adaptive Trend Exhaustion.
Parameters:
rsi (float): Relative Strength Index.
adx (float): Average Directional Index.
momentum (float): Momentum.
roc (float): Rate of Change.
Returns: Trend exhaustion score.
adaptive_channel_memory(upper_channel, lower_channel, tolerance, lookback_length)
Adaptive Channel Memory.
Parameters:
upper_channel (float): Upper channel.
lower_channel (float): Lower channel.
tolerance (float): Maximum channel difference.
lookback_length (int): Number of bars.
Returns: Memory score.
adaptive_false_breakout(breakout_strength, rejection_strength, volume_ratio)
Adaptive False Breakout Detector.
Parameters:
breakout_strength (float): Breakout strength.
rejection_strength (float): Rejection strength.
volume_ratio (float): Current volume divided by average volume.
Returns: False breakout probability.
adaptive_trap_detector(breakout_direction, breakout_strength, rejection_strength, rsi)
Adaptive Trap Detector.
Parameters:
breakout_direction (int): Breakout direction.
breakout_strength (float): Breakout strength.
rejection_strength (float): Rejection strength.
rsi (float): Relative Strength Index.
Returns: Trap direction and Trap probability.
adaptive_rsi_behavior(rsi, zigzag_count, divergence_strength, rejection_strength)
Adaptive RSI Behavior.
Parameters:
rsi (float): Relative Strength Index.
zigzag_count (int): RSI zigzag count.
divergence_strength (float): Divergence strength.
rejection_strength (float): Rejection strength.
Returns: RSI behavior score.
adaptive_market_behavior(trend_strength, reversal_probability, breakout_probability, exhaustion, energy, rsi_behavior)
Adaptive Market Behavior.
Parameters:
trend_strength (float): Trend strength.
reversal_probability (float): Reversal probability.
breakout_probability (float): Breakout probability.
exhaustion (float): Trend exhaustion.
energy (float): Market energy.
rsi_behavior (float): RSI behavior.
Returns: Market behavior score.
TODO: add library description here
effective_period(high_series, low_series, volume_series, period_length, lookback_length, max_search)
Calculates adaptive effective period.
Parameters:
high_series (float): High price series.
low_series (float): Low price series.
volume_series (float): Volume series.
period_length (simple int): Base period.
lookback_length (simple int): EMA lookback multiplier.
max_search (int): Maximum search distance.
Returns: Adaptive effective period.
adaptive_ema(source, high_series, low_series, volume_series, period_length, lookback_length, max_search)
Adaptive EMA using effective period.
Parameters:
source (float): Source series.
high_series (float): High price series.
low_series (float): Low price series.
volume_series (float): Volume series.
period_length (simple int): Base period.
lookback_length (simple int): EMA lookback multiplier.
max_search (int): Maximum search distance.
Returns: Adaptive EMA, alpha and effective period.
adaptive_channel(high_series, low_series, volume_series, period_length, lookback_length, smooth_length, max_search)
Adaptive price channel.
Parameters:
high_series (float): High price series.
low_series (float): Low price series.
volume_series (float): Volume series.
period_length (simple int): Base period.
lookback_length (simple int): EMA lookback multiplier.
smooth_length (simple int): EMA smoothing.
max_search (int): Maximum search distance.
Returns: Effective period, upper, lower, middle and width.
adaptive_rsi(source, high_series, low_series, volume_series, period_length, lookback_length, max_search)
Adaptive RSI.
Parameters:
source (float): Source series.
high_series (float): High price series.
low_series (float): Low price series.
volume_series (float): Volume series.
period_length (simple int): Base period.
lookback_length (simple int): EMA lookback multiplier.
max_search (int): Maximum search distance.
Returns: Adaptive RSI and effective period.
adaptive_atr(high_series, low_series, close_series, volume_series, period_length, lookback_length, max_search)
Adaptive ATR.
Parameters:
high_series (float): High price series.
low_series (float): Low price series.
close_series (float): Close price series.
volume_series (float): Volume series.
period_length (simple int): Base period.
lookback_length (simple int): EMA lookback multiplier.
max_search (int): Maximum search distance.
Returns: Adaptive ATR and effective period.
adaptive_macd(source, high_series, low_series, volume_series, fast_period, slow_period, signal_period, lookback_length, max_search)
Adaptive MACD.
Parameters:
source (float): Source series.
high_series (float): High price series.
low_series (float): Low price series.
volume_series (float): Volume series.
fast_period (simple int): Fast adaptive period.
slow_period (simple int): Slow adaptive period.
signal_period (int): Signal EMA period.
lookback_length (simple int): EMA lookback multiplier.
max_search (int): Maximum search distance.
Returns: MACD, Signal, Histogram.
adaptive_bollinger(source, high_series, low_series, volume_series, period_length, deviation, lookback_length, max_search)
Adaptive Bollinger Bands.
Parameters:
source (float): Source series.
high_series (float): High price series.
low_series (float): Low price series.
volume_series (float): Volume series.
period_length (simple int): Base period.
deviation (float): Standard deviation multiplier.
lookback_length (simple int): EMA lookback multiplier.
max_search (int): Maximum search distance.
Returns: Upper band, Middle band, Lower band, Band width and Effective period.
adaptive_supertrend(high_series, low_series, close_series, volume_series, period_length, multiplier, lookback_length, max_search)
Adaptive SuperTrend.
Parameters:
high_series (float): High price series.
low_series (float): Low price series.
close_series (float): Close price series.
volume_series (float): Volume series.
period_length (simple int): Base period.
multiplier (float): ATR multiplier.
lookback_length (simple int): EMA lookback multiplier.
max_search (int): Maximum search distance.
Returns: SuperTrend, Trend Direction and Effective Period.
adaptive_donchian(high_series, low_series, volume_series, period_length, lookback_length, max_search)
Adaptive Donchian Channel.
Parameters:
high_series (float): High price series.
low_series (float): Low price series.
volume_series (float): Volume series.
period_length (simple int): Base period.
lookback_length (simple int): EMA lookback multiplier.
max_search (int): Maximum search distance.
Returns: Upper band, Lower band, Middle line, Width and Effective period.
adaptive_keltner(source, high_series, low_series, close_series, volume_series, period_length, multiplier, lookback_length, max_search)
Adaptive Keltner Channel.
Parameters:
source (float): Source series.
high_series (float): High price series.
low_series (float): Low price series.
close_series (float): Close price series.
volume_series (float): Volume series.
period_length (simple int): Base period.
multiplier (float): ATR multiplier.
lookback_length (simple int): EMA lookback multiplier.
max_search (int): Maximum search distance.
Returns: Upper band, Middle band, Lower band, Width and Effective period.
adaptive_adx(high_series, low_series, close_series, volume_series, period_length, lookback_length, max_search)
Adaptive ADX.
Parameters:
high_series (float): High price series.
low_series (float): Low price series.
close_series (float): Close price series.
volume_series (float): Volume series.
period_length (simple int): Base period.
lookback_length (simple int): EMA lookback multiplier.
max_search (int): Maximum search distance.
Returns: ADX, +DI, -DI and Effective Period.
adaptive_stochastic(close_series, high_series, low_series, volume_series, period_length, smooth_k, smooth_d, lookback_length, max_search)
Adaptive Stochastic.
Parameters:
close_series (float): Close price series.
high_series (float): High price series.
low_series (float): Low price series.
volume_series (float): Volume series.
period_length (simple int): Base period.
smooth_k (int): K smoothing.
smooth_d (int): D smoothing.
lookback_length (simple int): EMA lookback multiplier.
max_search (int): Maximum search distance.
Returns: K, D and Effective Period.
adaptive_cci(high_series, low_series, close_series, volume_series, period_length, lookback_length, max_search)
Adaptive Commodity Channel Index.
Parameters:
high_series (float): High price series.
low_series (float): Low price series.
close_series (float): Close price series.
volume_series (float): Volume series.
period_length (simple int): Base period.
lookback_length (simple int): EMA lookback multiplier.
max_search (int): Maximum search distance.
Returns: CCI and Effective Period.
adaptive_williams_r(high_series, low_series, close_series, volume_series, period_length, lookback_length, max_search)
Adaptive Williams %R.
Parameters:
high_series (float): High price series.
low_series (float): Low price series.
close_series (float): Close price series.
volume_series (float): Volume series.
period_length (simple int): Base period.
lookback_length (simple int): EMA lookback multiplier.
max_search (int): Maximum search distance.
Returns: Williams %R and Effective Period.
adaptive_roc(source, high_series, low_series, volume_series, period_length, lookback_length, max_search)
Adaptive Rate of Change.
Parameters:
source (float): Source series.
high_series (float): High price series.
low_series (float): Low price series.
volume_series (float): Volume series.
period_length (simple int): Base period.
lookback_length (simple int): EMA lookback multiplier.
max_search (int): Maximum search distance.
Returns: ROC and Effective Period.
adaptive_pivot(source, left_bars, right_bars)
Adaptive Pivot Detector.
Parameters:
source (float): Source series.
left_bars (int): Left pivot bars.
right_bars (int): Right pivot bars.
Returns: Pivot High, Pivot Low, Pivot High Price, Pivot Low Price.
adaptive_divergence(price_source, indicator_source, pivot_length)
Adaptive Divergence Detector.
Parameters:
price_source (float): Price series.
indicator_source (float): Indicator series.
pivot_length (int): Pivot length.
Returns: Bullish divergence, Bearish divergence and Divergence strength.
adaptive_pivot_divergence(price_source, signal_source, pivot_length)
Adaptive Pivot Divergence Detector.
Parameters:
price_source (float): Price series.
signal_source (float): Indicator series.
pivot_length (int): Pivot length.
Returns: Bullish divergence, Bearish divergence and Divergence strength.
adaptive_flat_channel(upper_channel, lower_channel, flat_length, tolerance)
Adaptive Flat Channel Detector.
Parameters:
upper_channel (float): Upper channel.
lower_channel (float): Lower channel.
flat_length (int): Number of bars to evaluate.
tolerance (float): Maximum allowed movement.
Returns: Flat upper, Flat lower and Flat channel.
adaptive_breakout_strength(close_series, upper_channel, lower_channel, channel_width, volume_series, volume_length)
Adaptive Breakout Strength.
Parameters:
close_series (float): Close price.
upper_channel (float): Upper channel.
lower_channel (float): Lower channel.
channel_width (float): Channel width.
volume_series (float): Volume.
volume_length (simple int): Volume EMA length.
Returns: Breakout direction and Breakout strength.
adaptive_channel_rejection(open_series, high_series, low_series, close_series, upper_channel, lower_channel)
Adaptive Channel Rejection.
Parameters:
open_series (float): Open price.
high_series (float): High price.
low_series (float): Low price.
close_series (float): Close price.
upper_channel (float): Upper channel.
lower_channel (float): Lower channel.
Returns: Rejection direction and Rejection strength.
adaptive_channel_compression(channel_width, compression_length)
Adaptive Channel Compression.
Parameters:
channel_width (float): Width of the channel.
compression_length (simple int): Number of bars.
Returns: Compression ratio, Is compressing, Is expanding.
adaptive_market_energy(channel_width, volume_series, volume_length)
Adaptive Market Energy.
Parameters:
channel_width (float): Width of channel.
volume_series (float): Volume series.
volume_length (simple int): Volume EMA length.
Returns: Energy score.
adaptive_market_phase(adx, rsi, compression_ratio, breakout_strength)
Adaptive Market Phase.
Parameters:
adx (float): Adaptive ADX.
rsi (float): Adaptive RSI.
compression_ratio (float): Channel compression ratio.
breakout_strength (float): Breakout strength.
Returns: Market phase.
adaptive_rsi_zigzag(rsi_series, center_level, lookback_length)
Adaptive RSI Zigzag Detector.
Parameters:
rsi_series (float): RSI series.
center_level (float): Center level.
lookback_length (int): Number of bars.
Returns: Zigzag count and Zigzag detected.
adaptive_flat_level(level_series, flat_length, tolerance)
Adaptive Flat Level Detector.
Parameters:
level_series (float): Channel upper or lower series.
flat_length (int): Number of bars.
tolerance (float): Maximum allowed movement.
Returns: Flat state and Flat strength.
adaptive_level_strength(level_series, high_series, low_series, tolerance, lookback_length)
Adaptive Level Strength.
Parameters:
level_series (float): Support or resistance level.
high_series (float): High price series.
low_series (float): Low price series.
tolerance (float): Touch tolerance.
lookback_length (int): Number of bars.
Returns: Touch count and Level strength.
adaptive_breakout_probability(breakout_strength, level_strength, compression_ratio, volume_ratio)
Adaptive Breakout Probability.
Parameters:
breakout_strength (float): Breakout strength.
level_strength (float): Level strength.
compression_ratio (float): Channel compression ratio.
volume_ratio (float): Volume ratio.
Returns: Breakout probability.
adaptive_reversal_probability(rsi, divergence_strength, rejection_strength, flat_strength, channel_width_percent)
Adaptive Reversal Probability.
Parameters:
rsi (float): Relative Strength Index.
divergence_strength (float): Divergence strength.
rejection_strength (float): Rejection strength.
flat_strength (float): Flat level strength.
channel_width_percent (float): Channel width percentage.
Returns: Reversal probability.
adaptive_trend_exhaustion(rsi, adx, momentum, roc)
Adaptive Trend Exhaustion.
Parameters:
rsi (float): Relative Strength Index.
adx (float): Average Directional Index.
momentum (float): Momentum.
roc (float): Rate of Change.
Returns: Trend exhaustion score.
adaptive_channel_memory(upper_channel, lower_channel, tolerance, lookback_length)
Adaptive Channel Memory.
Parameters:
upper_channel (float): Upper channel.
lower_channel (float): Lower channel.
tolerance (float): Maximum channel difference.
lookback_length (int): Number of bars.
Returns: Memory score.
adaptive_false_breakout(breakout_strength, rejection_strength, volume_ratio)
Adaptive False Breakout Detector.
Parameters:
breakout_strength (float): Breakout strength.
rejection_strength (float): Rejection strength.
volume_ratio (float): Current volume divided by average volume.
Returns: False breakout probability.
adaptive_trap_detector(breakout_direction, breakout_strength, rejection_strength, rsi)
Adaptive Trap Detector.
Parameters:
breakout_direction (int): Breakout direction.
breakout_strength (float): Breakout strength.
rejection_strength (float): Rejection strength.
rsi (float): Relative Strength Index.
Returns: Trap direction and Trap probability.
adaptive_rsi_behavior(rsi, zigzag_count, divergence_strength, rejection_strength)
Adaptive RSI Behavior.
Parameters:
rsi (float): Relative Strength Index.
zigzag_count (int): RSI zigzag count.
divergence_strength (float): Divergence strength.
rejection_strength (float): Rejection strength.
Returns: RSI behavior score.
adaptive_market_behavior(trend_strength, reversal_probability, breakout_probability, exhaustion, energy, rsi_behavior)
Adaptive Market Behavior.
Parameters:
trend_strength (float): Trend strength.
reversal_probability (float): Reversal probability.
breakout_probability (float): Breakout probability.
exhaustion (float): Trend exhaustion.
energy (float): Market energy.
rsi_behavior (float): RSI behavior.
Returns: Market behavior score.
Biblioteca Pine
Fiel al espíritu de TradingView, el autor ha publicado este código de Pine como biblioteca de código abierto, para que otros programadores de nuestra comunidad puedan reutilizarlo. ¡Enhorabuena al autor! Puede usar esta biblioteca de forma privada o en otras publicaciones de código abierto, pero su reutilización en publicaciones está sujeta a nuestras Normas internas.
Exención de responsabilidad
La información y las publicaciones no constituyen, ni deben considerarse como, asesoramiento o recomendaciones financieras, de inversión, de trading u otro tipo, proporcionadas o respaldadas por TradingView. Obtenga más información en Condiciones de uso.
Biblioteca Pine
Fiel al espíritu de TradingView, el autor ha publicado este código de Pine como biblioteca de código abierto, para que otros programadores de nuestra comunidad puedan reutilizarlo. ¡Enhorabuena al autor! Puede usar esta biblioteca de forma privada o en otras publicaciones de código abierto, pero su reutilización en publicaciones está sujeta a nuestras Normas internas.
Exención de responsabilidad
La información y las publicaciones no constituyen, ni deben considerarse como, asesoramiento o recomendaciones financieras, de inversión, de trading u otro tipo, proporcionadas o respaldadas por TradingView. Obtenga más información en Condiciones de uso.