Multi-Timeframe RSI (4x) z Podświetlaniem - PawełRSI z podświetleniem z różnych tfów z ustawianiem intensywnosci i kolorów.
Dao động trung tâm
CCI ±100 Price Deviation with SMA & VWAP Trend ColorIndicator Synopsis: CCI ±100 Price Deviation with SMA & VWAP
Purpose:
This indicator combines trend filtering, momentum smoothing, and dynamic price bands to help identify intraday trading opportunities. It’s designed for:
15-minute chart → trend identification
1–2 minute chart → precise entries based on dynamic bands
Components:
SMA of Typical Price (smaTP)
Smooth average of the current bar’s typical price (hlc3).
Acts as a dynamic midpoint for the ±100 deviation bands.
±100 Deviation Bands
Calculated using a modified CCI formula:
Upper = SMA TP + 0.015 × MAD × 100
Lower = SMA TP - 0.015 × MAD × 100
Works as dynamic support/resistance and potential reversal zones.
SMA of CCI length (scaled to price)
Smooths the CCI momentum signal to the price scale.
Acts as a confirmation filter for trade direction near bands.
Optional toggle and customizable color/line width.
VWAP (Volume Weighted Average Price)
Optional overlay with trend-based coloring:
Price above VWAP → bullish → green
Price below VWAP → bearish → red
Acts as primary trend filter.
How to Use the Indicator
Step 1: Determine Trend (15-minute chart)
Check VWAP trend:
Price > VWAP → bullish trend → only consider long trades
Price < VWAP → bearish trend → only consider short trades
Confirm with SMA TP slope:
Rising SMA → bullish bias
Falling SMA → bearish bias
This ensures you only trade in the direction of the intraday trend.
MACD FROM HELLthis is a double macd with 2 time frames macd 1 is chart macd 4 is 4X meaning the 1hr becomes the 4hr and it uses the histogram coloring for added detail ,, on top of that it has stochastic rsi Alerts set to trigger when k line goes above 99.9 or below 0.01 and exits ,, alert triggers on exit
Universal Sentiment Score — V3 Bottom DetectorThe Universal Sentiment Score (USS) condenses a wide range of market conditions into one easy-to-read oscillator. Instead of relying on a single signal, USS blends multiple forms of trend strength, momentum behavior, volatility shifts, and reversal conditions to generate a unified sentiment metric.
RSI PriceThe relative strength index (RSI) is a momentum indicator used in technical analysis. RSI measures the speed and magnitude of a security's recent price changes to detect overbought or oversold conditions in the price of that security. The RSI is displayed as an oscillator (a line graph) on a scale of 0 to 100.
Traditionally, an RSI reading of 70 or above indicates an overbought condition. A reading of 30 or below indicates an oversold condition. In addition to identifying overbought and oversold securities, the RSI can also indicate securities that may be primed for a trend reversal or a corrective pullback in price.
NAMI Lite │ Zero-Repaint Momentum Wave + Reg Divergences (FREE)
NAMI Lite │ 100% Zero-Repaint Momentum Wave + Divergences (FREE)
The only zero-repaint, zero-lag momentum indicator that calls reversals hours early — even the free version beats all paid indicators.
No repainting on closed bars • Instant wave flips • Clean regular divergences • Money Flow confluence
Zero-Repaint Momentum Wave – CCI-based oscillator with real-time color flips (no lag, no lies)
Regular Bull/Bear Divergences – Faded lines on confirmed pivots only
Money Flow Oscillator – Volume-weighted filled areas for extra confirmation
This Lite version is intentionally limited — powerful enough to replace monthly subscriptions, but missing the pro features that make trading effortless.
Upgrade to Full NAMI Suite (One-Time Payment – Cancel Recurring Fees Forever):
Hidden Divergences with Divergence LABELS (catch 70% more massive moves)
200-Color Stochastic Heat Ribbon (gorgeous visual heatmaps)
True VWAP Oscillator + multi-source options
Buy/Sell Dots + Full Alerts (divergence, money flow, wave flips)
Full and Complete Customization (themes, lengths, colors)
Plus our other toolkits: TRAVIS, SMC Pro, and all future tools free
SEE IMAGE FOR COMPLETE NAMI VIEW
Over 800 traders already switched and saved thousands.
NBarForwardOdds# N Bar Forward Odds
## Description
Calculates the probability of a closing price exceeding a closing price at a specified interval away from the
current bar. It does this by iterating through a series of intervals (1 to 20) and determining if the closing
price of the current bar is greater than the closing price of the bar at that interval.
## Usage:
Selectable base interval from the input configuration panel is calculated with a value step in a range `1:20` to get the final interval displayed.
Bullish/Bearish Divergence DetectorUsuable on all time-frames
Indicates multiple divergences (up to 3) with the same start point/date of the divergence
CG Momentum - Table✅ 📄 English Description
Overview
The CG Momentum – Table indicator is a multi-timeframe momentum dashboard designed to help traders quickly evaluate market conditions across eight key timeframes. Instead of combining indicators arbitrarily, this script integrates four different momentum components—Williams %R, Stochastic %K, MACD slope, and RSI vs RSI-SMA trend state—into one unified framework. Each element contributes a unique perspective on momentum behavior, allowing traders to see alignment or divergence across all timeframes in a single glance.
Concept & Logic
1. Williams %R Cycle Position (Overbought/Oversold)
Uses a custom calculation instead of built-in W%R to ensure consistent values across security() calls.
Highlights overbought/oversold cycles using user-defined threshold levels.
Helps identify cycle turning points across higher and lower timeframes.
2. Stochastic %K Momentum (9-3-3 Model)
Computes raw %K manually, then applies smoothing to maintain accuracy in lower timeframes.
Evaluates overbought/oversold states based on traditional Stoch thresholds.
Color-coded for quick visual confirmation.
3. MACD Slope State (+ / –)
Instead of using MACD crossovers, this script analyzes MACD momentum direction by detecting 2-bar slope patterns.
A positive state means MACD is accelerating upward; negative means it is decelerating downward.
Ideal for spotting early trend acceleration.
4. RSI Trend State (RSI vs RSI-SMA)
Compares RSI(14) to its SMA(14).
Produces a + (bullish) or – (bearish) state.
A clean method to detect underlying trend bias in any timeframe.
How the Dashboard Works
The script displays a clean table in the bottom-right corner of the chart with the following columns:
TF | W%R | Stoch K | MACD | RSI
For each timeframe (5m → 1M):
W%R and Stoch cells are color-coded:
Green = Overbought (cycle top)
Red = Oversold (cycle bottom)
Gray = Neutral
MACD shows + or – with a trend-colored background.
RSI shows + or – depending on whether RSI is above/below its moving average.
This provides a compact yet powerful view of multi-timeframe momentum consensus.
How to Use
Look for alignment across timeframes (e.g., several timeframes showing bullish momentum).
Confirm entries by checking whether short-term momentum aligns with higher-timeframe structure.
Use W%R and Stoch colors to identify cycle extremes.
Use MACD/RSI states to confirm whether momentum is strengthening or weakening.
Ideal for intraday, swing, or position trading.
Why This Script Is Unique
Uses custom implementations for W%R, Stoch, RSI-MA state, and MACD slope instead of built-ins, ensuring consistent behavior across multi-timeframe security() calls.
Provides four distinct momentum perspectives in one unified visual tool.
Designed for clarity, reducing chart noise by consolidating indicators into one panel.
Suitable for all assets and timeframes.
🇹🇭 คำอธิบายภาษาไทย (สำหรับผู้ใช้ไทย)
ภาพรวม
อินดิเคเตอร์ CG Momentum – Table เป็นแดชบอร์ดวัดโมเมนตัมแบบหลายกรอบเวลา ที่รวมสัญญาณสำคัญ 4 ประเภท ได้แก่ Williams %R, Stochastic %K, MACD slope และสถานะ RSI เทียบ SMA ไว้ในตารางเดียว เพื่อช่วยให้เทรดเดอร์มองเห็นภาพรวมของโมเมนตัมในทุกไทม์เฟรมได้อย่างชัดเจนและอ่านง่าย
แนวคิดและหลักการทำงาน
1. Williams %R (วงจรราคาซื้อเกิน/ขายเกิน)
คำนวณด้วยสูตรเองเพื่อความแม่นยำในทุก TF
เน้นการหา cycle top/bottom
2. Stochastic %K (โมเมนตัมระยะสั้น)
ใช้สูตร 9-3-3 พร้อม smoothing
ช่วยหาจุดเร่งหรืออ่อนแรงของราคาในช่วงสั้น
3. MACD Slope State
ไม่ใช้สัญญาณ cross
ใช้การตรวจ “ความชันของ MACD” ว่ากำลังเร่งขึ้นหรือเร่งลง
เหมาะกับการจับสัญญาณเร่งตัวของแนวโน้ม
4. RSI Trend State
เปรียบเทียบ RSI กับค่าเฉลี่ยของมันเอง
ถ้า RSI > SMA → ขาขึ้น
ถ้า RSI < SMA → ขาลง
วิธีใช้งาน
ดูความสอดคล้องของโมเมนตัมระหว่างหลาย ๆ TF
ถ้าหลายกรอบเวลาชี้ไปทางเดียวกัน → ความน่าเชื่อถือสูง
ใช้สีของ W%R / Stoch เพื่อดู cycle
ใช้ MACD / RSI เพื่อยืนยันทิศทางแรงซื้อหรือแรงขาย
จุดเด่นของสคริปต์นี้
เป็นการรวม Momentum Indicators แบบมีเหตุผล ไม่ใช่การนำอินดี้หลายตัวมายำ
แสดงข้อมูลสำคัญทั้ง 4 ด้านในตารางเดียว
ออกแบบให้ “อ่านง่าย”, “ไม่รก chart”, “เข้าใจเร็ว”
เหมาะทั้ง Day trade, Swing และ Long-term
WTC Step Buy Step Edition CbyCarlo📊 WT Cross Modified – Step Buy Step Edition (v4)
WTC_StepBuyStep_Edition is an enhanced, practical, and optimized version of the classic WaveTrend (WT) Cross Indicator.
Developed for the Step Buy Step project, this tool helps traders identify market momentum shifts, structural price zones, and potential reversal areas with high clarity and precision.
🔍 Concept & Purpose
This indicator builds upon the established WaveTrend / LazyBear logic and extends it with additional structural intelligence.
The goal is to make overbought/oversold phases and trend reversals easier to spot — while also highlighting historically validated price zones where the market has previously reacted strongly.
⚙️ Key Features
1️⃣ WT Cross Signals
WT1 (yellow) and WT2 (purple) visualize market momentum.
A WT1 cross above WT2 while below the Oversold zone (−53) can indicate potential Long opportunities.
A WT1 cross below WT2 while above the Overbought zone (+53) can indicate potential Short opportunities.
Signals only confirm after candle close to prevent repainting.
2️⃣ Dynamic “WT SignalZone” Panel
Displayed in the top-right corner, this panel shows the last three valid price levels derived from WT signals:
🟢 LonLev – Buy support levels from previous WT Long signals
🔴 ShoLev – Sell resistance levels from previous WT Short signals
These zones act as objective support/resistance structures, based on historical momentum turning points — not subjective lines.
3️⃣ Flexible Calculation Modes
Choose how levels are derived from each WT signal:
Pullback 50% → Midpoint of the signal candle (high+low)/2
Close → Close price of the signal candle
Next Open → Open of the following bar (ideal for system testing)
📈 How to Interpret the Indicator
Market Condition WT Event Meaning
WT1 < −53 & CrossUp Long Signal Potential reversal / buy zone
WT1 > +53 & CrossDown Short Signal Potential exhaustion / sell zone
Price revisits LonLev Support Re-entry or bounce zone
Price revisits ShoLev Resistance Profit-taking or short setup zone
This makes the tool highly effective for:
Swing traders
Zone-based trading strategies
Systematic re-entries
Identifying structural turning points
🧠 Advantages
No repainting (signals confirmed only after bar close)
Works on all timeframes (from intraday to weekly)
Clean overview without clutter or excessive chart markers
Excellent as a filter to confirm market context
💬 Best Use Case
Use WTC_StepBuyStep_Edition as a contextual confirmation tool.
It does not replace a full trading system — but it gives you objective, repeatable, and statistically relevant zones where the market has reacted before.
Combine it with price action, volume analysis, or trend tools for even stronger setups.
© Step Buy Step • Step-Buy-Step.com
Educational trading tool intended for market analysis.
Not financial advice.
COT Pressure Morpheus
Starting from the TradingView COT Report indicator, I developed an oscillator to make the data visualization more quantitative. My only goal was to obtain a Percent Rank Oscillator (ranging from 0 to 100) that would allow the identification of peaks in the COT releases.
It is especially useful for agricultural commodities. You can choose to monitor Large Traders, Small Traders, or Commercial Hedgers.
It MUST be used exclusively on FUTURES tickers; otherwise, it will not work. In particular, the setup I recommend for commodities is the following:
INPUT:
Auto
Futures
Long - Short
CFTC Code: Empty
104
5
When the indicator rises above 80 or falls below 20, we can identify an overexposure. By observing the behavior of Commercial Hedgers in particular, we can detect when they reach extreme LONG exposure (>80) or SHORT exposure (<20) and use this as an operational signal.
It MUST be analyzed only on the WEEKLY chart to allow proper normalization.
GTI - Overbought and Oversold indicatorFor this indicator I've merged 6 indicators (RSI, Stochastic, CCI, MFI, UO and William %R) that are decent to spot overbought and oversold conditions into one indicator.
The idea is the more indicators that agree on overbought and oversold conditions, the better chance that the condition is correct.
Possible input settings
Set your own values for the overbought and oversold bands.
Noise suppression (On/Off)
Length for noise suppression calculations
Overbought noise suppression
Oversold noise suppression
Plot divergences (On/Off)
Left/Right lookback settings for finding pivot highs/lows
Min/Max lookback range to compare pivots for divergences
Style settings
Enabled/Disable the line for reversal value
Set the color for the line (default is 100% transparent value)
Enable/Disable fill color between reversal value and the 0 line
Set the fill color
Precision for reversal value, default is 2
Explanations
The scale goes from 100 to -100, where outliners above 85 or below -85 is expected to be extremely rare. The overbought and oversold bands are calculated from the typical values from each indicator used in the calculation.
The noise suppression is a percentile calculation from the last X bars back, where X is the length you set in the settings. 100 is the default value. This is very good to use in strong trends as an asset in a strong bullish trend tend to not touch/breach the oversold band and vise versa. The percentile calculation might still be able to catch the overbought/oversold condition in a strong opposite trending asset. 85 is a default value, but keep in mind that every asset moves differently due to their liquidity pool. The default is only a guide line.
The divergence settings only plots normal divergences. Hidden divergences are not calculated.
If you want the possibility to plot/see hidden divergences too, let me know in the comments. If enough people wants it I'll consider adding them.
when it comes to the style, you might be a bit confused at first. The reversal value is enabled, but not showing. That's because it's enabled with 100% transparency as I like using the fill more than just a line.
If you want to use a line instead of the fill, Disable the fill -> edit reversal value color -> set your chosen color and make sure to remove the transparency to make it visible.
Exmaple, ticker NOVO_B
In the example ticker I've enabled "Noise suppression", using the default 100 length and set noise suppression for both OB and OS to 90.
The green and red circles are plotted when the "reversal value" falls below the percentile set, indicating that a possible top was just formed.
Keep in mind that strong bullish or bearish trends tend to stay overbought/oversold for a longer time and are likely to print several false signals before the eventual reversal. If a divergences is printed, normally that is either the bottom or close to the bottom before a stronger reversal.
Suggestion
As all other indicators, don't use this indicator alone to spot reversals. Use it together with 1-3 other indicators like MACD, ADX and OBV. I like to use MACD as a confirmation tool after this tool starts indicating overbought/oversold conditions.
For an overbought condition, wait for MACD to cross below the signal line.
For an oversold condition, wait for the MACD to cross above the signal line.
This way you don't act on false signal.
Another way would be to use a DCA strategy, where you buy on each signal. In such a situation I suggest starting small enough to be able to double the total for each time, example below.
First signal: $100, then another $100 on second signal, $200 on third signal, $400 on fourth signal and so on. The amounts are an example, find what works for you.
RSI Maniac
RSI Maniac
A powerful, fully-customizable RSI indicator designed for traders who want deeper insight into momentum across multiple timeframes. This indicator enhances the traditional RSI by adding multi-timeframe analysis, multi-timeframe moving averages, and optional Bollinger Bands applied directly on the RSI curve.
----- Key Features -----
1️⃣ Multi-Timeframe RSI (HTF RSI) : Analyse higher-timeframe momentum while staying on your current chart.
Enable/Disable HTF RSI
Select any timeframe (1m → 1M)
Dedicated RSI length & source for HTF
Great for spotting:
Trend confirmation or divergence between LTF & HTF momentum
2️⃣ Multi-Timeframe Moving Averages : A powerful addition for traders using higher timeframe confirmation.
Enable/Disable HTF MAs
Independent Fast & Slow MA settings
Separate HTF timeframe
Separate MA type for HTF (EMA or HMA)
Great for spotting:
HTF RSI trend direction
HTF momentum overlays on LTF RSI
Cross-timeframe momentum alignment
🎛️ Clean & Organized User Interface : The indicator organizes settings into intuitive groups.
Current Timeframe RSI
Current Timeframe MA
Higher Timeframe RSI
Higher Timeframe MA
Bollinger Bands Settings
Traders can toggle any component independently.
How to trade ?
Based on my approach, I don’t use RSI to catch reversals. Instead, I use it to trade continuations—when the lower timeframe (LTF) RSI aligns with the higher timeframe (HTF) trend. I simply wait for the LTF RSI to move in the same direction as the HTF RSI and then take the continuation trade. Please check the snapshots for a clearer understanding of how these trades work.
Trade less, trade better!
MOMO – Imbalance Trend (SIMPLE BUY/SELL)MOMO – Imbalance Trend (SIMPLE BUY/SELL)
This strategy combines trend breaks, imbalance detection, and first-tap supply/demand entries to create a clean and disciplined trading model.
It automatically highlights imbalance candles, draws fresh zones, and waits for the first retest to deliver precise BUY and SELL signals.
Performance
On optimized settings, this strategy shows an estimated 57%–70% win-rate, depending on the asset and timeframe.
Actual performance may vary, but the model is built for consistency, discipline, and improved decision-making.
How it works
Detects trend structure shifts (BOS / Break of Trend)
Identifies displacement (imbalance) candles
Creates supply and demand zones from imbalance origin
Waits for first tap only (no second chances)
Confirms direction using trend logic
Generates clean BUY/SELL arrows
Automatic SL/TP based on user settings
Features
Clean BUY/SELL markers
Auto-drawn supply & demand zones
Trend break markers
Imbalance tags
Smart first-tap confirmation
Customizable stop loss & take profit
Works on crypto, gold, forex, indices
Best on M5–H1 for day trading
Note
This strategy is designed for day traders who want clarity, structure, and zero emotional trading.
Use it with discipline — and it will serve you well.
Good luck, soldier.
CandelaCharts - Trend Oscillator 📝 Overview
Trend Oscillator is a simple yet effective trend identification tool that uses the relationship between two exponential moving averages (EMAs) to determine market direction. It calculates the spread between a fast and slow EMA, applies a bias multiplier, and smooths the result to produce a clean oscillator that oscillates above and below a zero line. When the oscillator is above zero, the trend is considered bullish (upward); when below zero, it's bearish (downward). The indicator provides clear visual feedback through color-coded plots and optional price bar coloring, making it easy to identify trend direction at a glance.
📦 Features
This section highlights the core capabilities you'll rely on most.
Dual EMA system — Uses a fast EMA (default 9) and slow EMA (default 21) to capture trend momentum and direction.
Bias multiplier — Applies a small multiplier (default 1.001) to the EMA spread, providing a slight bias that helps filter noise and confirm trend strength.
Smoothed output — Applies an additional EMA smoothing (default 5 periods) to the raw spread, creating a cleaner, less choppy oscillator line.
Zero-line reference — Plots a horizontal zero line that serves as the critical threshold between bullish and bearish conditions.
Color-coded visualization — Automatically colors the oscillator line green/lime when bullish (above zero) and red when bearish (below zero).
Price bar coloring — Optional feature to color price bars based on the current trend direction, providing immediate visual context on the main chart.
Customizable parameters — Adjust EMA lengths, bias multiplier, smoothing period, and colors to match your trading style and timeframe.
⚙️ Settings
Use these controls to fine-tune the oscillator's sensitivity, appearance, and behavior.
Fast EMA Length — Period for the fast exponential moving average (default: 9). Lower values make the indicator more responsive to price changes.
Slow EMA Length — Period for the slow exponential moving average (default: 21). Higher values create a smoother baseline for trend identification.
Bias Multiplier — Multiplier applied to the EMA spread (default: 1.001). Small adjustments can help filter minor whipsaws and confirm trend strength.
Smoothing Length — Period for smoothing the raw spread calculation (default: 5). Higher values create a smoother oscillator line but may lag price action.
Colors — Set the bullish (default: lime) and bearish (default: red) colors for the oscillator line.
Color Price Bars — Toggle to enable/disable coloring of price bars based on the current trend direction.
⚡️ Showcase
Oscillator Line
Bar Coloring
Divergences
📒 Usage
Follow these steps to effectively use Trend Oscillator for trend identification and trading decisions.
1) Select your timeframe — The indicator works across all timeframes, but higher timeframes (daily, weekly, monthly) typically provide more reliable trend signals with less noise. Lower timeframes (1m, 5m, 15m) may produce more frequent but potentially less reliable signals. Consider your trading style: swing traders benefit from daily/weekly charts, while day traders can use 15m/1h timeframes. Always align the indicator's sensitivity with your timeframe choice.
2) Adjust EMA lengths — The default 9/21 combination works well for most cases. For faster signals, try 5/13; for slower, more conservative signals, try 12/26 or 20/50. Match the lengths to your trading style and timeframe.
3) Interpret the zero line — When the oscillator is above zero (green/lime), the trend is bullish. When below zero (red), the trend is bearish. The further from zero, the stronger the trend.
4) Watch for crossovers — Trend changes occur when the oscillator crosses the zero line. A cross from below to above indicates a shift to bullish; from above to below indicates a shift to bearish.
5) Identify divergences — Divergences can signal potential trend reversals. Bullish divergence : price makes lower lows while the oscillator makes higher lows (suggests weakening bearish momentum). Bearish divergence : price makes higher highs while the oscillator makes lower highs (suggests weakening bullish momentum). Divergences are most reliable when they occur near extreme levels and should be confirmed with price action before taking trades.
6) Use smoothing wisely — The smoothing parameter helps reduce noise but adds lag. Lower smoothing (3-5) is more responsive; higher smoothing (7-10) is more stable but slower to react.
7) Combine with price action — Use the oscillator to confirm trend direction, then look for entry opportunities when price pulls back in the direction of the trend. The optional price bar coloring helps visualize trend alignment on the main chart.
8) Filter with bias multiplier — The bias multiplier can help reduce false signals. Experiment with values between 1.000 and 1.005 to find the sweet spot for your instrument and timeframe.
🚨 Alerts
There are no built-in alerts in this version.
⚠️ Disclaimer
Trading involves significant risk, and many participants may incur losses. The content on this site is not intended as financial advice and should not be interpreted as such. Decisions to buy, sell, hold, or trade securities, commodities, or other financial instruments carry inherent risks and are best made with guidance from qualified financial professionals. Past performance is not indicative of future results.
MTF MACD – 1m / 15m / 1D / 1W//@version=6
indicator("MTF MACD – 1m / 15m / 1D / 1W", overlay=false)
// MACD inputs
fastLen = input.int(12, "Fast length")
slowLen = input.int(26, "Slow length")
signalLen = input.int(9, "Signal length")
// Multi-timeframe MACD using built-in ta.macd()
= request.security(syminfo.tickerid, "1", ta.macd(close, fastLen, slowLen, signalLen))
= request.security(syminfo.tickerid, "15", ta.macd(close, fastLen, slowLen, signalLen))
= request.security(syminfo.tickerid, "D", ta.macd(close, fastLen, slowLen, signalLen))
= request.security(syminfo.tickerid, "W", ta.macd(close, fastLen, slowLen, signalLen))
// Plot MACD lines for each timeframe
plot(macd_1m, title="MACD 1m", color=color.red, linewidth=2)
plot(macd_15m, title="MACD 15m", color=color.blue, linewidth=2)
plot(macd_1d, title="MACD 1D", color=color.green, linewidth=2)
plot(macd_1w, title="MACD 1W", color=color.orange, linewidth=2)
// (Optional) you can uncomment these if you also want signals/histograms:
// plot(signal_1m, title="Signal 1m", color=color.new(color.red, 50), style=plot.style_dotted)
// plot(signal_15m, title="Signal 15m", color=color.new(color.blue, 50), style=plot.style_dotted)
// plot(signal_1d, title="Signal 1D", color=color.new(color.green, 50), style=plot.style_dotted)
// plot(signal_1w, title="Signal 1W", color=color.new(color.orange, 50), style=plot.style_dotted)
// plot(hist_1m, title="Hist 1m", color=color.red, style=plot.style_histogram)
// plot(hist_15m, title="Hist 15m", color=color.blue, style=plot.style_histogram)
// plot(hist_1d, title="Hist 1D", color=color.green, style=plot.style_histogram)
// plot(hist_1w, title="Hist 1W", color=color.orange, style=plot.style_histogram)
BIAS RSI STOCH MACD Displaysimple but effective to prevent chart clutter.
Hi Traders! Today I’m showing you a **custom indicator** that combines **BIAS, RSI, Stochastic, and MACD** in one easy-to-read panel. Let’s break it down:
1️⃣ **BIAS** – Shows how far the price is from its moving average.
* Positive BIAS → price is above the average.
* Negative BIAS → price is below the average.
2️⃣ **RSI (Relative Strength Index)** – Measures momentum.
* Above 70 → overbought
* Below 30 → oversold
* **50 line added** → midpoint for trend direction
3️⃣ **Stochastic (STOCH)** – Confirms momentum like RSI.
* Above 80 → overbought
* Below 20 → oversold
4️⃣ **MACD (Moving Average Convergence Divergence)** – Shows trend and momentum.
* Histogram colors indicate strength
* Lines show trend direction
5️⃣ **Visual Table** – On the top right, you can see all current indicator values at a glance, with color coding for easy interpretation.
6️⃣ **Plots & Levels** –
* BIAS, RSI, Stoch are plotted clearly
* RSI has **midline at 50** for trend reference
* Standard overbought/oversold levels highlighted
✅ **How to Use:**
* Look for RSI or Stoch crossing midline or extreme levels for potential entries.
* Check MACD histogram and lines for confirmation of trend strength.
* Use BIAS to see if price is stretched from the moving average.
This indicator is perfect for **momentum, trend, and mean-reversion traders**, giving multiple signals in one pane without clutter.
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MACD Trend & Momentum Dashboard (Weighted, 3 TFs)This indicator provides a multi-timeframe MACD trend and momentum dashboard that works independently of your current chart timeframe. It displays MACD zero-line bias and MACD-vs-Signal trend state across three user-selectable timeframes, using clear color-coded cells for instant visual interpretation. A weighted scoring system combines all six signals into a single market bias classification (Strong Bullish → Strong Bearish). This helps traders quickly understand higher- and lower-timeframe alignment, market regime, and overall trend quality. Ideal for trend- and momentum-followers who want a clean, actionable market overview at a glance.
Multi-Confluence Signal System📊 OPTIMIZED MULTI-CONFLUENCE SIGNAL SYSTEM
A professional-grade trading indicator that combines multiple technical analysis methods to generate high-probability buy and sell signals. Designed for daily timeframe Bitcoin/crypto trading with optimized parameters based on real market backtesting.
🎯 KEY FEATURES:
- Multi-Confluence Scoring (8 components) - Each signal shows strength rating
- Smart Top & Bottom Detection - Catches reversals using price action patterns
- Ichimoku Cloud Integration - Dynamic support/resistance visualization
- Dual EMA System (20/50) - Clear trend identification
- RSI + MACD + Volume Confirmation - Multi-indicator validation
- Signal Alternation - Only shows directional changes (no repeated signals)
- Minimal Bar Spacing - Prevents signal clustering and overtrading
✅ OPTIMIZED FOR:
- Catching parabolic tops with rejection wicks
- Identifying capitulation bottoms in downtrends
- Avoiding false signals during consolidation
- 4-8 quality signals per 4-month period on daily charts
- Works in both trending and volatile markets
🔧 TECHNICAL COMPONENTS:
- EMA 20/50 trend system
- RSI (14) with adjusted overbought/oversold levels (68/32)
- MACD for momentum confirmation
- Ichimoku Cloud for trend context
- Volume analysis (1.3x threshold)
- Candlestick pattern recognition (engulfing, hammers, shooting stars)
- Capitulation detection for extreme moves
- Price extension filters (±5-10% from EMAs)
⚠️ BEST PRACTICES:
- Optimized for Daily timeframe
- Combine with your own risk management
- Higher scores = higher probability trades
- Wait for signal confirmation on candle close
- Use in conjunction with key support/resistance levels
💡 SIGNAL LOGIC:
BUY signals trigger on: Capitulation candles, extreme oversold + reversal patterns, MACD turnarounds in downtrends, or high confluence scores with bullish patterns
SELL signals trigger on: Rejection wicks at tops, bearish engulfings with overbought RSI, parabolic extensions, MACD reversals, or high confluence scores with bearish patterns
📈 Created through iterative backtesting and optimization on Bitcoin price action from 2024-2025.
⭐ Free to use • Leave feedback • Happy trading!
