Adaptive Weight Price Oscillator -Aynet# Adaptive Weight Price Oscillator (AWPO) - Aynet
## Core Components
### 1. Input Parameters
- `fastLength`: Period for the fast EMA calculation (default: 10)
- `slowLength`: Period for the slow EMA calculation (default: 21)
- `adaptiveLength`: Period for calculating volatility-based adaptation (default: 34)
- `smoothing`: Smoothing factor for the adaptive weight (default: 2)
### 2. Price and Weight Calculations
#### Median Price
The indicator uses median price as its base calculation:
```pine
medianPrice = (high + low) / 2
```
#### Volatility-Based Weight
The `getVolatilityRatio` function calculates a volatility ratio:
```pine
getVolatilityRatio(length) =>
std = ta.stdev(medianPrice, length)
ratio = std != 0 ? ta.ema(math.abs(ta.change(medianPrice)), length) / std : 0
math.max(math.min(ratio, 1), 0)
```
This function:
1. Calculates standard deviation of median price
2. Computes the ratio of EMA of price changes to standard deviation
3. Constrains the result between 0 and 1
### 3. AWPO Calculation
The main AWPO value is calculated as:
```pine
awpo = (fastMA - slowMA) * adaptiveWeight
```
Where:
- `fastMA`: EMA of median price using fast length
- `slowMA`: EMA of median price using slow length
- `adaptiveWeight`: Smoothed volatility ratio
## Signal Generation
### 1. Signal Line
- Calculated as an EMA of the AWPO with default length of 9
- Used for generating trading signals
### 2. Trading Signals
The indicator generates several types of signals:
#### Crossover Signals
- Buy signal: When AWPO crosses above the signal line
- Sell signal: When AWPO crosses below the signal line
#### Divergence Signals
- Bearish Divergence: Price makes higher high while AWPO makes lower high
- Bullish Divergence: Price makes lower low while AWPO makes higher low
## Visual Components
### 1. Main Plots
- AWPO line (green/red based on direction)
- Signal line (yellow)
- Zero line (gray, dotted)
- Overbought/Oversold levels (dotted lines)
### 2. Color Fills
- AWPO to Signal line fill (green/red)
- AWPO to Zero line fill (green/red)
- Overbought/Oversold zone fills
### 3. Trade Signals
- Triangle up/down shapes for buy/sell signals
- Diamond shapes for divergence signals
## Anti-Repainting Measures
The code includes measures to prevent repainting:
```pine
var float safe_awpo = na
if barstate.isconfirmed
safe_awpo := awpo
```
This ensures signals only appear on confirmed bars.
## Alert Conditions
The indicator includes two alert conditions:
1. AWPO crossing above signal line (buy)
2. AWPO crossing below signal line (sell)
Penunjuk Breadth
Volume Liquidity Oscillator (VLO) Volumen de liquidez.📊 Volume Liquidity Oscillator (VLO)
📌 Descripción del Indicador
El Volume Liquidity Oscillator (VLO) es un oscilador diseñado para analizar el flujo de volumen y la liquidez del mercado. Utiliza un cálculo basado en el Money Flow Index (MFI) modificado, pero en lugar de Open Interest, usa el volumen real del activo seleccionado.
El VLO permite detectar si el volumen está impulsando el precio al alza (acumulación) o a la baja (distribución), ayudando a los traders a confirmar tendencias y detectar posibles cambios de dirección en el mercado.
📊 Cálculo y Funcionamiento
1️⃣ Clasificación del volumen:
Se separa el volumen en alcista (cuando el precio sube) y bajista (cuando el precio baja).
Si hay más volumen en velas alcistas → Se interpreta como acumulación (color azul).
Si hay más volumen en velas bajistas → Se interpreta como distribución (color rojo).
2️⃣ Normalización en un oscilador (-100 a +100):
+100 → Máxima acumulación (fuerza compradora alta).
-100 → Máxima distribución (presión vendedora alta).
0 → Mercado sin dirección clara.
3️⃣ Opciones de Suavizado:
Se puede aplicar una media móvil ponderada (WMA) ajustable.
Opciones recomendadas: 30 (sensible, corto plazo) o 200 (suavizado, largo plazo).
📈 ¿Cómo Interpretarlo?
✅ Acumulación (Zona Azul, Valores Positivos):
Si el VLO está por encima de 0, el volumen está impulsando el precio al alza.
Si el volumen sigue aumentando, confirma la tendencia alcista.
✅ Distribución (Zona Roja, Valores Negativos):
Si el VLO está por debajo de 0, indica que el volumen está acompañando caídas en el precio.
Una fuerte distribución puede anticipar una corrección o cambio de tendencia bajista.
✅ Divergencias con el Precio:
Si el precio sube pero el VLO baja → Posible distribución oculta, señal de debilidad.
Si el precio baja pero el VLO sube → Posible acumulación oculta, señal de fuerza alcista.
✅ Cruce de la Línea 0:
De negativo a positivo → Señal de acumulación, posible inicio de tendencia alcista.
De positivo a negativo → Señal de distribución, posible corrección bajista.
🔥 ¿Para qué mercados es útil?
✔️ Criptomonedas → Para detectar fases de acumulación y distribución en BTC, ETH y altcoins.
✔️ Futuros y Bolsa → Puede aplicarse en futuros de S&P 500, Nasdaq, oro, petróleo, etc.
✔️ Forex → Permite evaluar la fuerza del volumen en pares de divisas.
🎯 Ventajas del VLO frente a otros indicadores
✅ Mejora el Money Flow Index (MFI) al usar volumen real en lugar de Open Interest.
✅ Más preciso que indicadores de volumen simples, ya que mide la liquidez real del mercado.
✅ Filtra señales falsas cuando el volumen no acompaña los movimientos del precio.
✅ Permite ajustar el suavizado con WMA para adaptarlo a diferentes estilos de trading.
🚀 Conclusión
El Volume Liquidity Oscillator (VLO) es una herramienta poderosa para analizar el impacto del volumen en los precios, ayudando a confirmar tendencias y detectar posibles cambios de ciclo. Ideal para traders de cripto, futuros y bolsa que buscan mejorar su análisis de acumulación y distribución.
Parabolic SAR + EMA 200 + MACD Signals// This source code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// © Saleh_Toodarvari
//@version=5
indicator(title="Parabolic SAR + EMA 200 + MACD Signals", shorttitle="SAR EMA MACD", overlay=true, timeframe="", timeframe_gaps=true)
// Inputs
sar_start = input(0.02)
sar_increment = input(0.02)
sar_maximum = input(0.2, "Max Value")
ema_len = input.int(200, minval=1, title="Length")
ema_src = input(close, title="Source")
ema_offset = input.int(title="Offset", defval=0, minval=-500, maxval=500)
macd_fast_length = input(title="Fast Length", defval=12)
macd_slow_length = input(title="Slow Length", defval=26)
macd_src = input(title="Source", defval=close)
signal_length = input.int(title="Signal Smoothing", minval = 1, maxval = 50, defval = 9)
sma_source = input.string(title="Oscillator MA Type", defval="EMA", options= )
sma_signal = input.string(title="Signal Line MA Type", defval="EMA", options= )
// Colors
col_macd = input(#2962FF, "MACD Line ", group="Color Settings", inline="MACD")
col_signal = input(#FF6D00, "Signal Line ", group="Color Settings", inline="Signal")
col_grow_above = input(#26A69A, "Above Grow", group="Histogram", inline="Above")
col_fall_above = input(#B2DFDB, "Fall", group="Histogram", inline="Above")
col_grow_below = input(#FFCDD2, "Below Grow", group="Histogram", inline="Below")
col_fall_below = input(#FF5252, "Fall", group="Histogram", inline="Below")
// Parabolic SAR
SAR = ta.sar(sar_start, sar_increment, sar_maximum)
plot(SAR, "ParabolicSAR", style=plot.style_circles, color=#2962FF)
// EMA 200
EMA_200 = ta.ema(ema_src, ema_len)
plot(EMA_200, title="EMA", color=color.blue, offset=ema_offset)
// MACD
fast_ma = sma_source == "SMA" ? ta.sma(macd_src, macd_fast_length) : ta.ema(macd_src, macd_fast_length)
slow_ma = sma_source == "SMA" ? ta.sma(macd_src, macd_slow_length) : ta.ema(macd_src, macd_slow_length)
macd = fast_ma - slow_ma
signal = sma_signal == "SMA" ? ta.sma(macd, signal_length) : ta.ema(macd, signal_length)
delta = macd - signal
// Conditions
main_trend=if ohlc4high
true
else
false
macd_long = if (ta.crossover(delta, 0))
true
else
false
macd_short = if (ta.crossunder(delta, 0))
true
else
false
// Long
buy_signal= sar_long and macd_long and (main_trend=="Bullish")
// Short
sell_signal= sar_short and macd_short and (main_trend=="Bearish")
// Plots
plotshape(buy_signal, title="Buy Label", text="Buy", location=location.belowbar, style=shape.labelup, size=size.tiny, color=color.green, textcolor=color.white)
plotshape(sell_signal, title="Sell Label", text="Sell", location=location.abovebar, style=shape.labeldown, size=size.tiny, color=color.red, textcolor=color.white)
//_________________alerts_________________
alertcondition(buy_signal, title='SAR EMA200 MACD Buy signal!', message='Buy signal')
alertcondition(sell_signal, title='SAR EMA200 MACD Sell signal!', message='Sell signal')
Crossover Signal with RSISimple Strategy With Signals using ema and rsi with requred accuracy
do paper trade first
FACTOR MONITORThe Factor Monitor is a comprehensive designed to track relative strength and standard deviation movements across multiple market segments and investment factors. The indicator calculates and displays normalized percentage moves and their statistical significance (measured in standard deviations) across daily, 5-day, and 20-day periods, providing a multi-timeframe view of market dynamics.
Key Features:
Real-time tracking of relative performance between various ETF pairs (e.g., QQQ vs SPY, IWM vs SPY)
Standard deviation scoring system that identifies statistically significant moves
Color-coded visualization (green/red) for quick interpretation of relative strength
Multiple timeframe analysis (1-day, 5-day, and 20-day moves)
Monitoring of key market segments:
Style factors (Value, Growth, Momentum)
Market cap segments (Large, Mid, Small)
Sector relative strength
Risk factors (High Beta vs Low Volatility)
Credit conditions (High Yield vs Investment Grade)
The tool is particularly valuable for:
Identifying significant factor rotations in the market
Assessing market breadth through relative strength comparisons
Spotting potential trend changes through statistical deviation analysis
Monitoring sector leadership and market regime shifts
Quantifying the magnitude of market moves relative to historical norms
Four RSI hajianاین اندیکاتور توسط 4 اندیکاتور ار اس ای تحلیل را انجام داده و در نقاط اشبا برای شما سیگنال صادر میکند
Trend_CasperEMA Cloud Indicator (9, 13, 20)
This indicator plots three Exponential Moving Averages (EMAs) with lengths of 9, 13, and 20. It also creates a dynamic cloud between the highest and lowest EMA values, with colors indicating market conditions:
• Green: Price is above the cloud (bullish signal).
• Red: Price is below the cloud (bearish signal).
• Gray: Price is within the cloud (neutral or consolidation).
Use it to identify trends early and make informed trading decisions based on price movement relative to the EMAs.
Let me know if you need any modifications!
Combined Support Resistance & Moving AveragesConverted the script to Pine Script version 6 syntax.
Replaced outdated functions like pivothigh and pivotlow with ta.pivothigh and ta.pivotlow.
Updated the input and plot methods to match version 6 standards.
Fixed any syntax issues related to brackets or line continuation.
Let me know if this works or needs further refinements!
My script// This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// © junxi6147
//@version=6
indicator("My script")
plot(close)
Trend-Following Strategy (EMA 50/200)The Trend-Following Strategy is one of the simplest and most effective trading approaches, especially for XAU/USD (gold vs. USD). The goal is to identify the market trend (uptrend or downtrend) and trade in the same direction, avoiding reversals or counter-trend trades.
Pivot Points Standardthis will help in using vwap and piviot together you can use one indicator for both.
Pivot Points Standardit will help to merge one indicator in 2.like in this you can use piviot and vwap both together.
Meta5 Scalping Indicator//@version=5
indicator("Meta5 Scalping Indicator", shorttitle="MSI", overlay=true)
// Inputs for Moving Averages
fastLength = input.int(9, title="Fast EMA Length")
slowLength = input.int(21, title="Slow EMA Length")
// Inputs for RSI
rsiLength = input.int(14, title="RSI Length")
rsiOverbought = input.int(70, title="RSI Overbought Level")
rsiOversold = input.int(30, title="RSI Oversold Level")
// Inputs for Scalping Conditions
atrLength = input.int(14, title="ATR Length")
atrMultiplier = input.float(1.5, title="ATR Multiplier")
// Calculations
fastEMA = ta.ema(close, fastLength)
slowEMA = ta.ema(close, slowLength)
rsi = ta.rsi(close, rsiLength)
atr = ta.atr(atrLength)
// Conditions for Buy and Sell Signals
bullishCondition = ta.crossover(fastEMA, slowEMA) and rsi < rsiOversold
bearishCondition = ta.crossunder(fastEMA, slowEMA) and rsi > rsiOverbought
// Stop Loss and Take Profit Levels
longStopLoss = close - (atr * atrMultiplier)
shortStopLoss = close + (atr * atrMultiplier)
// Plot Buy and Sell Signals
plotshape(bullishCondition, title="Buy Signal", style=shape.labelup, location=location.belowbar, color=color.new(color.green, 0))
plotshape(bearishCondition, title="Sell Signal", style=shape.labeldown, location=location.abovebar, color=color.new(color.red, 0))
// Plot EMAs
plot(fastEMA, title="Fast EMA", color=color.blue)
plot(slowEMA, title="Slow EMA", color=color.orange)
// Background Color for Overbought and Oversold RSI
bgcolor(rsi > rsiOverbought ? color.new(color.red, 90) : rsi < rsiOversold ? color.new(color.green, 90) : na)
Multi-Timeframe RSI StrategyRSI indicator trend trading, it is also known as GFS trading system. the trading system is develop by Malkan sir
Chained Inside BarsThis script identifies consecutive inside bars by referencing only the most recent non-inside bar, so it avoids excessive lookback. An “inside” bar means its high is lower than the reference bar’s high, and its low is higher than the reference bar’s low. If the current bar is inside, it’s colored white; once price breaks outside, the script updates that new bar as the next reference.
Key Points
• Bars are compared against the last non-inside bar, chaining consecutive inside bars off that same reference bar.
• Inside bars are highlighted in white (non-inside bars retain default chart colors).
• Includes an alert condition for when a new inside bar forms.
• Prevents large dynamic indexing, making it more stable and efficient.
Use this indicator to quickly spot consecutive inside-bar formations without needing to track every single bar-to-bar relationship.
BALA IndicatorThe BALA Indicator is a custom trading tool designed to simplify decision-making by combining multiple technical analysis strategies into one cohesive system. It provides buy and sell signals based on a combination of trend-following and momentum indicators, ensuring traders can identify optimal entry and exit points in the market.
AMG Supply and Demand ZonesSupply and Demand Zones Indicator
This indicator identifies and visualizes supply and demand zones on the chart to help traders spot key areas of potential price reversals or continuations. The indicator uses historical price data to calculate zones based on high/low ranges and a customizable ATR-based fuzz factor.
Key Features:
Back Limit: Configurable look-back period to identify zones.
Zone Types: Options to display weak, untested, and turncoat zones.
Customizable Parameters: Adjust fuzz factor and visualization settings.
Usage:
Use this indicator to enhance your trading strategy by identifying key supply and demand areas where price is likely to react.
You can customize this further based on how you envision users benefiting from your indicator. Let me know if you'd like to add or adjust anything!
Flow-Weighted Volume Oscillator (FWVO)Volume Dynamics Oscillator (VDO)
Description
The Volume Dynamics Oscillator (VDO) is a powerful and innovative tool designed to analyze volume trends and provide traders with actionable insights into market dynamics. This indicator goes beyond simple volume analysis by incorporating a smoothed oscillator that visualizes the flow and momentum of trading activity, giving traders a clearer understanding of volume behavior over time.
What It Does
The VDO calculates the flow of volume by scaling raw volume data relative to its highest and lowest values over a user-defined period. This scaled volume is then smoothed using an exponential moving average (EMA) to eliminate noise and highlight significant trends. The oscillator dynamically shifts above or below a zero line, providing clear visual cues for bullish or bearish volume pressure.
Key features include:
Smoothed Oscillator: Displays the direction and momentum of volume using gradient colors.
Threshold Markers: Highlights overbought or oversold zones based on upper and lower bounds of the oscillator.
Visual Fill Zones: Uses color-filled areas to emphasize positive and negative volume flow, making it easy to interpret market sentiment.
How It Works
The calculation consists of several steps:
Smoothing with EMA: An EMA of the scaled volume is applied to reduce noise and enhance trends. A separate EMA period can be adjusted by the user (Volume EMA Period).
Dynamic Thresholds: The script determines upper and lower bounds around the smoothed oscillator, derived from its recent highest and lowest values. These thresholds indicate critical zones of volume momentum.
How to Use It
Bullish Signals: When the oscillator is above zero and green, it suggests strong buying pressure. A crossover from negative to positive can signal the start of an uptrend.
Bearish Signals: When the oscillator is below zero and blue, it indicates selling pressure. A crossover from positive to negative signals potential bearish momentum.
Overbought/Oversold Zones: Use the upper and lower threshold levels as indicators of extreme volume momentum. These can act as early warnings for trend reversals.
Traders can adjust the following inputs to customize the indicator:
High/Low Period: Defines the period for volume scaling.
Volume EMA Period: Adjusts the smoothing factor for the oscillator.
Smooth Factor: Controls the responsiveness of the smoothed oscillator.
Originality and Usefulness
The VDO stands out by combining dynamic volume scaling, EMA smoothing, and gradient-based visualization into a single, cohesive tool. Unlike traditional volume indicators, which often display raw or cumulative data, the VDO emphasizes relative volume strength and flow, making it particularly useful for spotting reversals, confirming trends, and identifying breakout opportunities.
The integration of color-coded fills and thresholds enhances usability, allowing traders to quickly interpret market conditions without requiring deep technical expertise.
Chart Recommendations
To maximize the effectiveness of the VDO, use it on a clean chart without additional indicators. The gradient coloring and filled zones make it self-explanatory, but traders can overlay basic trendlines or support/resistance levels for additional context.
For advanced users, the VDO can be paired with price action strategies, candlestick patterns, or other trend-following indicators to improve accuracy and timing.
MB 3ST+EMA+StochRSI Martin Buecker 16.01.2025Short Description of the Indicator "MB 3ST+EMA+StochRSI Martin Buecker 16.01.2025"
This trend-following and momentum-based indicator combines Supertrend, EMA 200, and Stochastic RSI to generate buy and sell signals with improved accuracy.
1. Key Components
Supertrend (3 variations):
Uses three Supertrend indicators with different periods to confirm trend direction.
Buy signal when at least 2 Supertrends are bearish.
Sell signal when at least 2 Supertrends are bullish.
EMA 200 (Exponential Moving Average):
Buy signals only when the price is above EMA 200 (uptrend confirmation).
Sell signals only when the price is below EMA 200 (downtrend confirmation).
Multi-Timeframe Stochastic RSI:
Uses a higher timeframe Stoch RSI (default: 15 minutes) to filter signals.
Buy signal when %K crosses above %D (bullish momentum).
Sell signal when %K crosses below %D (bearish momentum).
2. Signal Generation
📈 Buy Signal Conditions:
✅ At least 2 of 3 Supertrends are bearish
✅ Price is above EMA 200
✅ Stoch RSI shows a bullish crossover (%K > %D)
📉 Sell Signal Conditions:
✅ At least 2 of 3 Supertrends are bullish
✅ Price is below EMA 200
✅ Stoch RSI shows a bearish crossover (%K < %D)
3. Visual Representation & Alerts
Supertrend Lines:
Green = Bullish, Red = Bearish
EMA 200: White Line
Buy/Sell Signals:
Green triangle (below bar) = Buy
Red triangle (above bar) = Sell
Alerts:
Notifies users when a buy or sell signal is triggered.
Background Coloring:
Green for Buy signals, Red for Sell signals
4. Purpose & Benefits
🔥 Combines trend (EMA 200, Supertrend) and momentum analysis (Stoch RSI) for better signal accuracy.
🔥 Works best in trending markets, filtering out false signals in sideways movements.
🔥 Suitable for scalping and day trading, providing clear and structured trade entries.
MACD DEMA DEMİRHANMACD Demanın kesişim işaretlenmiş halidir.! Klasik Macd Dema diğer macd göre daha erken sinyal vermesiyle ünlüdür. Bu kodu tasarlayıp yatırımcılara daha etkin al ve sat kesişimleri belirleyip daha rahat ve konforlu analiz etme olanağı sağlamaktadır.
VWMACD-MFI-OBV Composite# MACD-MFI-OBV Composite
A dynamic volume-based technical indicator combining Volume-Weighted MACD, Money Flow Index (MFI), and normalized On Balance Volume (OBV). This composite indicator excels at identifying breakouts and strong trend movements through multiple volume confirmations, making it particularly effective for momentum and high-volatility trading environments.
## Overview
The indicator integrates trend, momentum, and cumulative volume analysis into a unified visualization system. Each component is carefully normalized to enable direct comparison, while the background color system provides instant trend recognition. This version is specifically optimized for breakout detection and strong trend confirmation.
## Core Components
### Volume-Weighted MACD
Visualized through the background color system, this enhanced MACD implementation uses Volume-Weighted Moving Averages (VWMA) instead of traditional EMAs. This modification ensures greater sensitivity to volume-supported price movements while filtering out less significant low-volume price changes. The background alternates between green (bullish) and red (bearish) to provide immediate trend feedback.
### Money Flow Index (MFI)
Displayed as the purple line, the MFI functions as a volume-weighted momentum oscillator. Operating within a natural 0-100 range, it helps identify potential overbought and oversold conditions while confirming volume support for price movements. The MFI is particularly effective at validating breakout momentum.
### Normalized On Balance Volume (OBV)
The white line represents normalized OBV, providing insight into cumulative buying and selling pressure. The normalization process scales OBV to match other components while maintaining its ability to confirm price trends through volume analysis. This component excels at identifying strong breakout movements and volume surges.
## Signal Integration
The indicator generates its most powerful signals when all three components align, particularly during breakout conditions:
Strong Bullish Signals develop when:
- Background shifts to green (VWMACD bullish)
- MFI shows strong upward momentum
- OBV demonstrates sharp volume accumulation
Strong Bearish Signals emerge when:
- Background turns red (VWMACD bearish)
- MFI exhibits downward momentum
- OBV shows significant volume distribution
## Market Application
This indicator variant is specifically designed for:
Breakout Trading:
The OBV component provides excellent sensitivity to volume surges, making it ideal for breakout confirmation and momentum validation.
Trend Following:
Sharp OBV movements combined with MFI momentum help identify and confirm strong trending conditions.
High Volatility Markets:
The indicator's design excels in active, volatile markets where clear signal generation is crucial for decision-making.
## Technical Implementation
Default Parameters:
Volume-Weighted MACD maintains traditional periods (12/26/9) while leveraging volume weighting. MFI uses standard 14-period calculation with 80/20 overbought/oversold thresholds. All components undergo normalization over a 100-period lookback for stable comparison.
Visual Elements:
- Background: VWMACD trend indication (green/red)
- Purple Line: Money Flow Index
- White Line: Normalized OBV
- Yellow Line: Combined signal (arithmetic mean of normalized components)
- Reference Lines: Key levels at 20, 50, and 80
## Trading Methodology
The indicator supports a systematic approach to breakout and momentum trading:
1. Breakout Identification
Monitor for background color changes accompanied by significant OBV movement, indicating potential breakout conditions.
2. Volume Surge Confirmation
Examine OBV slope and magnitude to confirm genuine breakout scenarios versus false moves.
3. Momentum Validation
Use MFI to confirm breakout strength and identify potential exhaustion points.
4. Combined Signal Analysis
The yellow line provides a unified view of all components, helping identify high-probability breakout opportunities.
## Interpretation Guidelines
Breakout Confirmation:
Strong breakouts typically show alignment of all three components with notable OBV surge. This configuration often precedes significant price movements.
Trend Strength:
Continuous OBV expansion during trends, supported by steady MFI readings, suggests sustained momentum.
## Market Selection
Optimal Markets Include:
- High-beta growth stocks
- Momentum-driven securities
- Stocks with significant volatility
- Active trading instruments
- Examples: TSLA, NVDA, growth stocks
## Version Information
Current Version: 2.0.0
This indicator represents a specialized adaptation of volume-based analysis, optimized for breakout trading and momentum strategies in high-volatility environments.
Support Resistance with Moving AveragesFilter Lambda Issue:
Removed the array.filter() lambda call and replaced it with a loop to maintain compatibility.
Improved Support/Resistance Level Management:
Added explicit checks to ensure levels are within the loopback period.
Syntax Fixes:
Verified all parentheses and lambda functions to prevent mismatched input errors.
Streamlined Logic:
Cleaned up redundant or unnecessary conditions.
STOCKDALE VERSION1EMA 골든크로스, RSI 상승 다이버전스, Stochastic RSI 골든크로스, MACD 양수, OBV 상승 조건이 모두 충족되었을 때, 매수 신호를 생성합니다. 또한, 거래량이 높은 구간에서만 신호를 필터링합니다.