Scalping Dashboard - No Signals a multi-indicator Pine Script designed for fast-paced, high-precision scalping. It combines EMAs, RSI, MACD, Stochastic, ATR, VWAP, Bollinger Bands, and Hull MA into one overlay with a floating label that updates every BAR. The label displays real-time indicator values including volume, price, and candle direction — giving traders a comprehensive readout without automated buy/sell signals, allowing for manual, informed decision-making.
Indicadores e estratégias
RS Screener: Weekly & Daily RSThis indicator measures the relative strength (RS) of the current stock against the SPY benchmark, using both weekly and daily timeframes. It’s designed to help swing and position traders quickly identify when a stock is showing consistent strength or weakness across multiple timeframes.
How It Works
• Calculates Daily RS and Weekly RS based on normalized price performance versus SPY.
• RS values above 0 = outperforming SPY
RS values below 0 = underperforming SPY
• A Bullish signal is generated when both daily and weekly RS are > 0 (confirming strength).
• A Bearish signal appears when both are < 0 (confirming weakness).
• Anything in-between is Neutral.
You’ll see:
• Color-coded background: green = bullish, red = bearish.
• A compact info table with RS values and signal.
• Plotted RS lines for deeper visual analysis.
Best For
• Swing trading (holding for days/weeks)
• Position trading (riding broader trends)
• Identifying momentum stocks
• Filtering a watchlist for relative strength leaders or laggards
How to Use
1. Add this indicator to your chart.
2. Use the Signal Table to scan stocks quickly.
3. Look for Bullish signals as candidates for long entries, ideally when price is breaking out or bouncing off support.
4. Use Bearish signals to spot fading stocks or short setups.
5. Combine with price action, volume, or trend indicators for confirmation.
Cycle Trend - [Dakon]The Cycle Trend indicator is a visual tool designed to help traders identify the trend structure and potential cycle momentum in the market
Simple and Powerful indicator
It combines a custom channel based on RMA (Running Moving Average) of the high, low, and close prices with multiple long-term RMA lines to give a clearer view of the price's rhythm and trend behavior.
How It Works:
PAC Channel (Hi, Lo, Close):
Smoothed with RMA, the channel envelopes the price action to highlight the average high and low range over a configurable period (High Low Close)
The middle line (Close PAC RMA) represents the core direction of price movement.
Cycle Smoothing Lines (RMA 36 / 54 / 72):
These lines act as long-term filters for identifying trend phases and the momentum cycle.
Useful for spotting convergence/divergence and trend transitions.
✅ How to Use:
Trend Direction:
When price stays above the PAC and slope upwards → Bullish trend.
When price stays below the PAC and slope downwards → Bearish trend.
Support/Resistance:
The band (High and Low) act as dynamic support/resistance zones during trends or consolidation phases.
Cycle Timing:
The layered RMAs (36/54/72) help identify early trend changes, late-stage trends, or price compression zones.
Identifying cycle-based trends in crypto, forex, and stock markets
Trend Dashboard (Short / Medium / Long)🔍 Overview
This script:
Calculates the short, medium, and long-term trend based on moving average crossovers
Displays the current trend status in a color-coded table on your TradingView chart
Helps you visually identify market trend direction at a glance — great for quick decision making
🧱 1. Inputs Section
shortMA_len = input.int(9, title="Short-Term MA")
mediumMA_short = input.int(21, title="Medium-Term Fast MA")
mediumMA_long = input.int(50, title="Medium-Term Slow MA")
longMA_short = input.int(50, title="Long-Term Fast MA")
longMA_long = input.int(200, title="Long-Term Slow MA")
This part lets you customize the moving averages used to determine each trend type:
Short-term: 9 vs 21 SMA
Medium-term: 21 vs 50 SMA
Long-term: 50 vs 200 SMA
You can change these from the indicator settings on your chart.
📈 2. Calculating the Moving Averages
shortMA = ta.sma(close, shortMA_len)
mediumFast = ta.sma(close, mediumMA_short)
mediumSlow = ta.sma(close, mediumMA_long)
longFast = ta.sma(close, longMA_short)
longSlow = ta.sma(close, longMA_long)
This section calculates:
The short MA (e.g. 9-period)
The medium fast & slow MAs (21 & 50)
The long fast & slow MAs (50 & 200)
📊 3. Determining the Trend
shortTrend = shortMA > mediumFast ? "Bullish" : shortMA < mediumFast ? "Bearish" : "Neutral"
mediumTrend = mediumFast > mediumSlow ? "Bullish" : mediumFast < mediumSlow ? "Bearish" : "Neutral"
longTrend = longFast > longSlow ? "Bullish" : longFast < longSlow ? "Bearish" : "Neutral"
Here, each trend is determined by a simple moving average crossover:
If the fast MA is above the slow MA → Bullish
If below → Bearish
If equal → Neutral
🎨 4. Trend Color Helper Function
getColor(trend) =>
trend == "Bullish" ? color.lime : trend == "Bearish" ? color.red : color.gray
Returns a color based on the trend type:
Green for Bullish
Red for Bearish
Gray for Neutral
📋 5. Creating and Updating the Table
var table trendTable = table.new(position.top_right, 2, 4, border_width=1)
This creates a 2-column, 4-row table in the top-right of the chart.
pinescript
Copy
Edit
table.cell(...)
Updates the table every few bars:
Row 1: headers
Row 2: Short-term trend
Row 3: Medium-term trend
Row 4: Long-term trend
Each trend is colored based on its status.
📌 6. Optional: Plot the Moving Averages
plot(shortMA, ...)
plot(mediumFast, ...)
...
Just to give you a visual reference, it plots each moving average on the chart in a different color.
✅ Summary: What You Get
🧠 Short-Term Trend: (e.g., 9 vs 21 SMA)
📈 Medium-Term Trend: (e.g., 21 vs 50 SMA)
📉 Long-Term Trend: (e.g., 50 vs 200 SMA)
🎨 Color-coded dashboard for instant recognition
📊 Great for trend-following, filtering trades, and quick analysis
Constance Brown RSI with Composite IndexConstance Brown RSI with Composite Index
Overview
This indicator combines Constance Brown's RSI interpretation methodology with a Composite Index and ATR Distance to VWAP measurement to provide a comprehensive trading tool. It helps identify trends, momentum shifts, overbought/oversold conditions, and potential reversal points.
Key Features
Color-coded RSI zones for immediate trend identification
Composite Index for momentum analysis and divergence detection
ATR Distance to VWAP for identifying extreme price deviations
Automatic divergence detection for early reversal warnings
Pre-configured alerts for key trading signals
How to Use This Indicator
Trend Identification
The RSI line changes color based on its position:
Blue zone (RSI > 50): Bullish trend - look for buying opportunities
Purple zone (RSI < 50): Bearish trend - look for selling opportunities
Gray zone (RSI 40-60): Neutral/transitional market - prepare for potential breakout
The 40-50 area (light blue fill) acts as support during uptrends, while the 50-60 area (light purple fill) acts as resistance during downtrends.
// From the code:
upTrendZone = rsiValue > 50 and rsiValue <= 90
downTrendZone = rsiValue < 50 and rsiValue >= 10
neutralZone = rsiValue > 40 and rsiValue < 60
rsiColor = neutralZone ? neutralRSI : upTrendZone ? upTrendRSI : downTrendRSI
Momentum Analysis
The Composite Index (fuchsia line) provides momentum confirmation:
Values above 50 indicate positive momentum
Values below 40 indicate negative momentum
Crossing above/below these thresholds signals potential momentum shifts
// From the code:
compositeIndexRaw = rsiChange / ta.stdev(rsiValue, rsiLength)
compositeIndex = ta.sma(compositeIndexRaw, compositeSmoothing)
compositeScaled = compositeIndex * 10 + 50 // Scaled to fit 0-100 range
Overbought/Oversold Detection
The ATR Distance to VWAP table in the top-right corner shows how far price has moved from VWAP in terms of ATR units:
Extreme positive values (orange/red): Potentially overbought
Extreme negative values (purple/red): Potentially oversold
Near zero (gray): Price near average value
// From the code:
priceDistance = (close - vwapValue) / ta.atr(atrPeriod)
// Color coding based on distance value
Divergence Trading
The indicator automatically detects divergences between the Composite Index and price:
Bullish divergence: Price makes lower low but Composite Index makes higher low
Bearish divergence: Price makes higher high but Composite Index makes lower high
// From the code:
divergenceBullish = ta.lowest(compositeIndex, rsiLength) > ta.lowest(close, rsiLength)
divergenceBearish = ta.highest(compositeIndex, rsiLength) < ta.highest(close, rsiLength)
Trading Strategies
Trend Following
1. Identify the trend using RSI color:
Blue = Uptrend, Purple = Downtrend
2. Wait for pullbacks to support/resistance zones:
In uptrends: Buy when RSI pulls back to 40-50 zone and bounces
In downtrends: Sell when RSI rallies to 50-60 zone and rejects
3. Confirm with Composite Index:
Uptrends: Composite Index stays above 50 or quickly returns above it
Downtrends: Composite Index stays below 50 or quickly returns below it
4. Manage risk using ATR Distance:
Take profits when ATR Distance reaches extreme values
Place stops beyond recent swing points
Reversal Trading
1. Look for divergences
Bullish: Price makes lower low but Composite Index makes higher low
Bearish: Price makes higher high but Composite Index makes lower high
2. Confirm with ATR Distance:
Extreme readings suggest potential reversals
3. Wait for RSI zone transition:
Bullish: RSI crosses above 40 (purple to neutral/blue)
Bearish: RSI crosses below 60 (blue to neutral/purple)
4. Enter after confirmation:
Use candlestick patterns for precise entry
Place stops beyond the divergence point
Four pre-configured alerts are available:
Momentum High: Composite Index above 50
Momentum Low: Composite Index below 40
Bullish Divergence: Composite Index higher low
Bearish Divergence: Composite Index lower high
Customization
Adjust these parameters to optimize for your trading style:
RSI Length: Default 14, lower for more sensitivity, higher for fewer signals
Composite Index Smoothing: Default 10, lower for quicker signals, higher for less noise
ATR Period: Default 14, affects the ATR Distance to VWAP calculation
This indicator works well across various markets and timeframes, though the default settings are optimized for daily charts. Adjust parameters for shorter or longer timeframes as needed.
Happy trading!
Session Markers: 00:00, London, NY (Last 7 Days)This script marks key time(s) -
1. midnight open
2. london session open
3. ny session open
The session markers show up in blue color with a gray text annotation.
INTRADAY INDICATOR KMThis script provides a clean and minimal overlay displaying two essential metrics for intraday decision-making:
ADR% (Average Daily Range) – calculated from daily candles only, regardless of the selected chart timeframe.
% Change – shows the percentage change from the previous day's close.
It also includes an interpretation row that compares the % Change with ADR%:
If the move is within the ADR, it's marked as Below
If it exceeds ADR, it's marked as Above
If it exceeds 2× ADR, it's marked as Avoid
PG2 Mean Reversion Channel - Lower Quartile Loband with MACD🧠 Strategy Overview
This is a mean reversion strategy using multi-filter smoothing for channel detection and MACD-based momentum validation. It’s designed for structured entries near volatility-based lower bounds with adaptive risk control based on dynamic equity drawdown.
⸻
📌 Core Logic
• Lower Quartile Channel Entry:
Uses 8 smoothing filters to create a distribution of lobands and selects the lower quartile as the trigger zone.
• MACD Validation:
Requires MACD histogram to flip from negative to positive, ensuring upward momentum confirmation.
• Entry Trigger:
Entry occurs when:
• Not in a position
• Price is below the lower quartile band
• MACD histogram is positive
⸻
📉 Dynamic Exit & Risk Control
• Per-Trade Equity Tracking:
Tracks equity highs/lows per trade to calculate intra-trade drawdown.
• Rolling Drawdown Threshold:
Stores drawdowns in a rolling array (up to maxGlobalTrades) and uses the max of that array as a dynamic exit threshold.
• Dynamic Drawdown Exit:
If a position is open for over minBarsForDynamicExit and drawdown exceeds the dynamic threshold → exit.
• Cascading Take Profit:
Profit target starts at 7% and slowly degrades by decrement_percent until a min threshold is hit.
• Extended Exit Logic:
After 1000 bars in a trade, triggers additional drawdown-based exit with MACD momentum check.
⸻
📊 Performance Multiplier Logic
• Uses strategy.closedtrades to calculate Profit Factor
• Multiplier is purely reporting metadata — included in alerts but not used for trade logic
• VPS or external system interprets and sizes trades accordingly
⸻
🔔 Automation-Ready Alerts
• Clean JSON payloads
• Payload includes:
• Ticker
• Action (buy3/sell3/sell1)
• Multiplier
• Timeframe & strategy name
⸻
✅ Compliance Highlights
• No repainting
• No security() calls
• No dynamic position sizing inside Pine
• Multiplier is metadata only
• Alerts structured for webhook consumption
Trendline Channel + SMA Combo📝 Indicator Description: Trendline Channel + SMA Combo by ThanhCong_
📌 Overview:
The "Trendline Channel + SMA Combo" indicator combines Linear Regression Channels with Simple Moving Averages (SMAs) to help traders identify price trends, overbought/oversold zones, and potential breakout points in both short-term and medium-term timeframes.
Designed with user customization in mind, the tool provides flexibility in line display, thickness, and visibility options — perfect for both basic and advanced technical analysis.
🔍 Key Features:
✅ Linear Regression Channels (100 and 25 periods)
Automatically calculates price trend direction.
Includes standard deviation bands above and below the trendline.
Highlights potential breakout signals when the price moves outside the channel by coloring the lines dotted blue.
✅ Extendable Trendlines
Option to extend the channel lines into the future for better target visualization.
✅ Three SMAs for Trend Confirmation
SMA 9 (Dark Green): Very short-term trend
SMA 25 (Yellow): Short-term trend
SMA 99 (Purple): Long-term trend
Users can adjust each SMA’s line thickness independently.
✅ Visual Clarity with Smart Coloring
Green: Uptrend
Red: Downtrend
Blue dotted lines: Breakout from the channel
⚙️ How to Use:
Regression Channels
The line color indicates the current slope (uptrend/downtrend).
When price breaks out of the channel (based on a set standard deviation), the line becomes blue and dotted, signaling a potential reversal or strong momentum breakout.
SMAs
Useful for spotting dynamic support/resistance and trend direction.
Combine them with price action and channel behavior to confirm entry/exit points.
Custom Settings:
Enable/disable SMA display
Adjust line thickness for each SMA
Toggle whether to extend regression lines into the future
📌 Notes:
The 100-period channel reflects medium-term trend
The 25-period channel reflects short-term trend
Price moving outside of the channel may indicate overbought/oversold conditions or trend breakout
⚠️ Disclaimer:
This tool is for technical analysis purposes only.
It is not a financial advice or trading signal.
Use at your own risk — the author is not liable for any trading losses resulting from the use of this script.
✅ Trade wisely. Stay disciplined.
📌 Developed by @ThanhCong_ ,,
Gold Price with Time ShiftOverview
The "Gold Price with Time Shift" indicator allows you to visualize the Gold price (XAUUSD) with a customizable time shift, enabling you to lag or lead the data by a specified number of bars. Whether you're analyzing historical trends or projecting Gold’s price into the future, this indicator provides a flexible tool to align Gold price movements with other market indicators or events.
Features
Customizable Time Shift: Shift the Gold price backward (lag) or forward (lead) by a user-defined number of bars. Positive values lag the data, while negative values project it into the future.
Future Projection: When leading the Gold price (negative time shift), the indicator extends the chart into the future, displaying the last known price as a flat projection for easy comparison.
Daily Timeframe: Fetches Gold price data on a daily timeframe, ensuring consistency for long-term analysis.
User-Friendly Inputs: Easily adjust the Gold ticker and time shift via the settings panel to suit your analysis needs.
EMA/MACD Multi-Alerta Marcelo Di ModenaHow to use this code:
Open TradingView.
Go to the “Pine Editor” tab at the bottom.
Paste the complete code I provided into the editor.
Click “Save” and give the script a name (for example, “My EMA/MACD Indicator”).
Click “Add to chart”.
Explanation of the code:
Inputs: Define the EMA lengths, MACD parameters and thresholds that you can adjust from the indicator settings on the chart.
Calculations: Calculates the EMAs, the ATR (for horizontality), and obtains the MACD values for the current timeframe, daily (“D”) and weekly (“W”) using request.security.
Alert Conditions: Define the yellowAlertCondition, blueAlertCondition, and greenAlertCondition variables that turn true when the criteria you specified are met.
Plotshape/Bgcolor: Draws small circles or triangles on the chart when the alert conditions are met. The bgcolor lines (commented out) are an alternative for coloring the chart background.
EMA Plots: Draws the 9-period and 200-period EMAs on the chart.
Dashboard: Creates a simple table in the upper right corner showing the initials “Y”, “B”, “G” with a colored background that changes according to the status of each alert in the last bar.
3M-10Y Yield Spread3M-10Y Yield Spread Indicator Description
What It Is:
This indicator calculates the difference (spread) between the 3-month and 10-year US Treasury yields, plotted as a line with a zero reference. The background turns red when the spread inverts (falls below zero), signaling when the 3-month yield exceeds the 10-year yield.
What It Helps Understand:
Economic Health: An inverted yield curve (spread < 0) often predicts recessions, as it reflects market expectations of future economic slowdown, typically preceding downturns by 6-18 months.
Fed Policy Impact: Fed rate hikes can push short-term yields (like the 3-month) higher, potentially causing inversion if long-term yields (10-year) don’t rise as much due to growth concerns. Conversely, Fed rate cuts can lower short-term yields, steepening the curve (spread > 0), signaling economic stimulus or recovery expectations.
RSI with ADX and BB Entry Filtershow adx only when its
- below 22. if its rises 3 or more times consecutively but below 22 dont show
- if its moving average (9) is downwards sloping, show adx regardless of adx value
adx is 15minute time frame
view it on 1 min or 5 min time frame for entries.
rsi 70 and 30
rhua v1)This script provides a full trend-following strategy using EMA and Stochastic signals. It enters Buy or Sell trades when the trend aligns with momentum, based on:
- EMA alignment (50/100/150/200)
- Stochastic (Buy < 20, Sell > 80)
- TP1 = RR 1:1 (partial close, SL moved to breakeven)
- TP2 = RR 1:2 (full close)
- Visual SL/TP lines
- Clear buy/sell arrows
Great for scalpers and swing traders who want structure, momentum, and risk control in one tool.
Developed by , refined for clarity and live-action usability.
Bull Snort Candle - Monthly [Oliver Kell]This is a Bull Snort Candle Indicator based on Monthly closing.. Very good indicator to identify Multibagger stocks
German 40 Cash 3:00-3:15 EST BreakoutHow It Works:
It checks whether the current bar is the 3:00–3:15 AM EST bar.
It captures the high and low of that bar.
It plots those levels for the rest of the day.
It fires alerts when a candle closes above or below that breakout range.
📌 Note:
Your chart must be set to 15-minute interval.
Chart time zone should be set correctly or it will not capture the 3:00–3:15 EST bar accurately.
Market Structure - Miguel TavaresMarket Structure for HTF MTF and LTF - H4-M15-M1/M3 LH-LL HH-HL and MSS understanding .
Join us on www.algorithmic.one
Volume and Volatility Ratio Indicator-WODI该指标名为“交易量与波动率比例指标-WODI”,主要基于交易量和价格波动率构造一个复合指数,帮助识别市场内可能存在的异常或转折信号。具体实现如下:
用户自定义参数
用户可以设置交易量均线长度(vol_length)、指数的短期与长期均线长度(index_short_length、index_long_length)、均线敏感度(index_magnification)、阈值放大因子(index_threshold_magnification)以及检测K线形态的区间(lookback_bars)。这些参数为后续计算提供了灵活性,允许用户根据不同市场环境自定义指标的敏感度和响应速度。
交易量均线与百分比计算
首先通过 ta.sma 计算指定长度的交易量简单均线(vol_ma)。
接下来,将当前交易量与均线进行比较,计算出当前交易量占均线的百分比(vol_percent),这反映了短期内交易量的相对活跃程度。
波动率的衡量
使用当前K线的最高价和最低价计算振幅,再除以收盘价乘以100得到波动率(volatility),从而反映市场价格波动的幅度。
构建交易量/波动率指数
将交易量百分比与波动率相乘,形成了“交易量/波动率指数”(volatility_index)。该指数能够同时反映市场的交易活跃度和价格波动性,两者的联合作用帮助捕捉市场的“热度”。
计算指标均线与阈值
对交易量/波动率指数分别计算短期均线(index_short_ma)和长期均线(index_long_ma),并通过乘以一个敏感度参数(index_magnification)进行调整。
同时,依据长期均线计算一个阈值(index_threshold),起到过滤噪音的作用。当指数突破该阈值时,可能预示着市场的重要变化。
K线形态与反转模式检测
通过遍历最近几根K线(由lookback_bars控制),指标会检测是否符合一系列预定条件(涉及交易量、价格振幅、K线形态等),以判断是否存在反转模式。若符合条件,则标记为反转模式,从而为潜在的转折点提供提示。
图表展示
最终在独立窗口中绘制多个元素:
指数短均线与长均线:经过敏感度调整后显示,用于分析指数趋势。
交易量/波动率指数:采用阶梯线风格绘制,直观展示指数变化。
阈值线:作为参考水平,便于判断指数是否突破常规范围。
交易量柱状图:当当前交易量高于均线时,通过不同颜色显示;当检测到反转模式时,颜色会进一步强化,帮助用户迅速识别潜在信号。
English Description
This indicator, titled “Volume and Volatility Ratio Indicator - WODI”, is designed to construct a composite index based on trading volume and price volatility, aiding in the identification of abnormal market conditions or potential reversal signals. Its functionality is broken down as follows:
User-Defined Parameters
The indicator allows users to set parameters such as the moving average length for volume (vol_length), the short and long moving average lengths for the index (index_short_length and index_long_length), a sensitivity multiplier (index_magnification), a threshold magnification factor (index_threshold_magnification), and the number of bars for pattern detection (lookback_bars). These parameters provide flexibility to adjust the sensitivity and responsiveness of the indicator based on different market conditions.
Volume Moving Average and Percentage Calculation
A simple moving average (SMA) of volume is computed over the specified length (vol_ma) using the ta.sma function.
The current volume is then compared to its moving average to calculate the volume percentage (vol_percent), reflecting the relative trading intensity in the short term.
Measuring Volatility
Volatility is calculated based on the current bar’s high and low prices, normalized by the closing price and multiplied by 100, which provides a measure of the market’s price fluctuation magnitude.
Constructing the Volume/Volatility Index
The index (volatility_index) is derived by multiplying the volume percentage by the calculated volatility. This composite metric reflects both market activity and price movement, effectively capturing the overall “heat” of the market.
Calculating the Index Moving Averages and Threshold
Two moving averages for the volatility_index are computed: one short-term (index_short_ma) and one long-term (index_long_ma). These are then adjusted by the sensitivity multiplier (index_magnification).
A threshold level (index_threshold) is calculated based on the long-term moving average multiplied by the threshold magnification factor, serving to filter out market noise. When the index exceeds this threshold, it may signal significant market shifts.
Detection of Reversal Patterns
The indicator iterates through the recent bars (as determined by lookback_bars) to check whether a set of predetermined conditions (involving trends in the volatility_index, volume comparisons, price closes, and K-line patterns) are met. If these conditions are satisfied, it flags a reversal pattern, which may serve as a warning for a potential market turnaround.
Visualization on the Chart
The final display includes several elements plotted in a separate indicator window:
The short-term and long-term moving averages of the index (after sensitivity adjustment) which help visualize the trend of the composite index.
The volatility index itself is drawn using a step-line style for clarity.
A threshold line is plotted to provide a reference level against which index movements can be compared.
A volume histogram is also displayed, where bars are colored differently when the current volume exceeds the moving average; the color is further enhanced if a reversal pattern is detected, making it easy for users to quickly spot potential signals.
Stochastic RSI with Buy/Sell SignalsThis indicator shows us when the RSI stock reaches 10 and 90 on the chart.
Compra/Venda Simples//@version=5
indicator("RSI Buy/Sell Signals", overlay=true)
// Parameters
rsiLength = 14
overboughtLevel = 70
oversoldLevel = 30
// Calculate RSI using closed candles
rsi = ta.rsi(close, rsiLength)
// Buy/Sell conditions (no repainting)
buySignal = ta.crossover(rsi, oversoldLevel) and close > open
sellSignal = ta.crossunder(rsi, overboughtLevel) and close < open
// Plot arrows on the chart
plotshape(series=buySignal, title="Buy", location=location.belowbar, color=color.green, style=shape.arrowup, text="BUY")
plotshape(series=sellSignal, title="Sell", location=location.abovebar, color=color.red, style=shape.arrowdown, text="SELL")
RSI with ADX and BB Entry FilterADX of 15 minute: Only shows when it is fallling. Doens't show when it rises more than 5 consecutive candles
RSI with 70 overbought and 30 oversold
Long Entry and Exit with EMA - Stoch RSI (Base A) - 1HPurpose: Flags long opportunities on the 1-hour chart.
Logic: Uses more filtered Stoch RSI oversold signals and a 100 EMA trend check.
Use Case: For cleaner long entries during stable or trending market phases.
VOLD IndicatorVOLD-Indicator can show us the trend of the day. The indicator shows us the value of the VOLD that is a ratio of the volume flowing in up-stocks divided by the volume flowing in down stocks. Readings above 3 and below -3 can be seen as relevant for a trend day.