RSI/Momentum derivativesthis indicator plots the derivatives of the RSI to get more leading sense of direction of the price
we know that the rsi shows us the momentum of the price, so the easiest/logical way to interpret this indicator and benefit from it is as follows:
- see the price as 'distance'
- see the rsi as 'speed'
- see the rsi/momentum of the above/'speed' as 'velocity'
- see the rsi/momentum of the above/'velocity' as 'acceleration'
once you understand this you can analyse and interpret this indicator to give you a more leading analysis and more accurate entry and exit points.
- also includes the RMA for each RSI derivative which can help for identifying breakouts, direction of price, pivot points and more.
in the above chart
- black is the standard rsi/speed
- orange is the momentum of the rsi/velocity
- green is the momentum of the velocity
在腳本中搜尋"momentum"
CT Reverse Chande Momentum OscillatorIntroducing the Caretakers Reverse Chande Momentum Oscillator.
The Chande momentum oscillator is a technical momentum indicator which calculates the difference between the sum of recent gains and the sum of recent losses and then divides the result by the sum of all price movement over the same period.
It is used to gauge “pure momentum”.
It bears similarities to other momentum indicators such as the Stochastic, Rate of Change and the Relative Strength Index, but other unique features render it a handy tool in the traders handset.
The CMO was developed by Tushar Chande.
The author introduced the indicator in his 1994 book “The New Technical Trader “.
The CMO has a normal range of values between +100 and -100.
I have reverse engineered the CMO formula to derive a dual purpose function.
The function can calculate the chart price at which the CMO will reach a particular CMO scale value.
The function can also calculate the chart price at which the CMO will equal its previous value.
I have employed this function here to give the price level where the CMO will equal :
Upper alert level ( default 50 )
Zero-Line
Lower alert level ( default -50 )
Previous CMO value
These crossover levels are displayed via an optional infobox with choice of user selected info.
The advantage of knowing the exact prices that this will happen should give the user an additional edge and precision in risk management.
Traditionally traders and analysts will consider:
Positives values above 50 indicate an “overbought” condition
Negative values below -50 indicate an “oversold” condition
Common traditional ways to derive signals from the CMO :
When the CMO crosses above the zeroline, a buy signal is generated.
When the CMO crosses below the zeroline, a sell signal is generated.
When the SMI crosses below -50 and then moves back above it, a buy signal is generated.
When the SMI crosses above +50 and then moves back below it, a sell signal is generated.
Traditionally, traders also look for divergences between the CMO and price action.
Chande Momentum oscillating in a narrower band around the zero line, with no penetration of the Overbought and Oversold levels indicates a ranging market.
This should not be confused with Chande Momentum oscillating between either the Overbought and the zero line, or the Oversold level and the zero line, which indicates a strong up, or down-trend.
It is traditionally considered that the strongest trend signals are from failed swing patterns.
It measures momentum on both up and down days and does not smooth results, triggering more frequent oversold and overbought penetrations.
The CMO is often used to determine overall market trendiness in conjunction with the SMI where the SMI is used to determine the direction of the trend, and also with volume indicators to show if the momentum carries significant selling or buying pressure.
RK's 07 ∴ Moving Average Ribbon with Momentum Adjusted by DGTHello folks!
In my search for new ways to get faster and better market responses, I found this brilliant Indicator here on Trading View.
I rewrite all the code with my own functions and styles.
So... This is my adaptation to excellent script "Momentum adjusted Moving Average by DGT" from the user dgtrd
In dgtrd's words: "A brand new Moving Average, calculated using Momentum, Acceleration and Probability (Psychological Effect).
Momentum adjusted Moving Average( MaMA ) is an indicator that measures Price Action by taking into consideration not only Price movements but also its Momentum, Acceleration and Probability.
MaMA , provides faster responses comparing to the regular Moving Average"
The original post is here: 👇
T∴F∴A∴
Rodrigo Kazuma
Price Action and 3 EMAs Momentum plus Sessions FilterThis indicator plots on the chart the parameters and signals of the Price Action and 3 EMAs Momentum plus Sessions Filter Algorithmic Strategy. The strategy trades based on time-series (absolute) and relative momentum of price close, highs, lows and 3 EMAs.
I am still learning PS and therefore I have only been able to write the indicator up to the Signal generation. I plan to expand the indicator to Entry Signals as well as the full Strategy.
The strategy works best on EURUSD in the 15 minutes TF during London and New York sessions with 1 to 1 TP and SL of 30 pips with lots resulting in 3% risk of the account per trade. I have already written the full strategy in another language and platform and back tested it for ten years and it was profitable for 7 of the 10 years with average profit of 15% p.a which can be easily increased by increasing risk per trade. I have been trading it live in that platform for over two years and it is profitable.
Contributions from experienced PS coders in completing the Indicator as well as writing the Strategy and back testing it on Trading View will be appreciated.
STRATEGY AND INDICATOR PARAMETERS
Three periods of 12, 48 and 96 in the 15 min TF which are equivalent to 3, 12 and 24 hours i.e (15 min * period / 60 min) are the foundational inputs for all the parameters of the PA & 3 EMAs Momentum + SF Algo Strategy and its Indicator.
3 EMAs momentum parameters and conditions
• FastEMA = ema of 12 periods
• MedEMA = ema of 48 periods
• SlowEMA = ema of 96 periods
• All the EMAs analyse price close for up to 96 (15 min periods) equivalent to 24 hours
• There’s Upward EMA momentum if price close > FastEMA and FastEMA > MedEMA and MedEMA > SlowEMA
• There’s Downward EMA momentum if price close < FastEMA and FastEMA < MedEMA and MedEMA < SlowEMA
PA momentum parameters and conditions
• HH = Highest High of 48 periods from 1st closed bar before current bar
• LL = Lowest Low of 48 periods from 1st closed bar from current bar
• Previous HH = Highest High of 84 periods from 12th closed bar before current bar
• Previous LL = Lowest Low of 84 periods from 12th closed bar before current bar
• All the HH & LL and prevHH & prevLL are within the 96 periods from the 1st closed bar before current bar and therefore indicative of momentum during the past 24 hours
• There’s Upward PA momentum if price close > HH and HH > prevHH and LL > prevLL
• There’s Downward PA momentum if price close < LL and LL < prevLL and HH < prevHH
Signal conditions and Status (BuySignal, SellSignal or Neutral)
• The strategy generates Buy or Sell Signals if both 3 EMAs and PA momentum conditions are met for each direction and these occur during the London and New York sessions
• BuySignal if price close > FastEMA and FastEMA > MedEMA and MedEMA > SlowEMA and price close > HH and HH > prevHH and LL > prevLL and timeinrange (LDN&NY) else Neutral
• SellSignal if price close < FastEMA and FastEMA < MedEMA and MedEMA < SlowEMA and price close < LL and LL < prevLL and HH < prevHH and timeinrange (LDN&NY) else Neutral
Entry conditions and Status (EnterBuy, EnterSell or Neutral)(NOT CODED YET)
• ENTRY IS NOT AT THE SIGNAL BAR but at the current bar tick price retracement to FastEMA after the signal
• EnterBuy if current bar tick price <= FastEMA and current bar tick price > prevHH at the time of the Buy Signal
• EnterSell if current bar tick price >= FastEMA and current bar tick price > prevLL at the time of the Sell Signal
Combo Backtest 123 Reversal & Chande Momentum Oscillator This is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
This indicator plots Chande Momentum Oscillator. This indicator was
developed by Tushar Chande. A scientist, an inventor, and a respected
trading system developer, Mr. Chande developed the CMO to capture what
he calls "pure momentum". For more definitive information on the CMO and
other indicators we recommend the book The New Technical Trader by Tushar
Chande and Stanley Kroll.
The CMO is closely related to, yet unique from, other momentum oriented
indicators such as Relative Strength Index, Stochastic, Rate-of-Change,
etc. It is most closely related to Welles Wilder`s RSI, yet it differs
in several ways:
- It uses data for both up days and down days in the numerator, thereby
directly measuring momentum;
- The calculations are applied on unsmoothed data. Therefore, short-term
extreme movements in price are not hidden. Once calculated, smoothing
can be applied to the CMO, if desired;
- The scale is bounded between +100 and -100, thereby allowing you to
clearly see changes in net momentum using the 0 level. The bounded scale
also allows you to conveniently compare values across different securities.
WARNING:
- For purpose educate only
- This script to change bars colors
Combo Strategy 123 Reversal & Chande Momentum OscillatorThis is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
This indicator plots Chande Momentum Oscillator. This indicator was
developed by Tushar Chande. A scientist, an inventor, and a respected
trading system developer, Mr. Chande developed the CMO to capture what
he calls "pure momentum". For more definitive information on the CMO and
other indicators we recommend the book The New Technical Trader by Tushar
Chande and Stanley Kroll.
The CMO is closely related to, yet unique from, other momentum oriented
indicators such as Relative Strength Index, Stochastic, Rate-of-Change,
etc. It is most closely related to Welles Wilder`s RSI, yet it differs
in several ways:
- It uses data for both up days and down days in the numerator, thereby
directly measuring momentum;
- The calculations are applied on unsmoothed data. Therefore, short-term
extreme movements in price are not hidden. Once calculated, smoothing
can be applied to the CMO, if desired;
- The scale is bounded between +100 and -100, thereby allowing you to
clearly see changes in net momentum using the 0 level. The bounded scale
also allows you to conveniently compare values across different securities.
WARNING:
- For purpose educate only
- This script to change bars colors.
Linear Momentum and Performance IndicatorsThis a porting to Trading View of the 12 new indicators introduced in IFTA Journal (January Edition) by Akram El Sherbini, MFTA, CFTe, CETA.
Indicators are available in "Linear Momentum and Performance Indicators" at page four.
IFTA Journal is available below:
ifta.org
Indicators implemented herein:
Linear Force Index: The linear force index LFI measures the force of buyers and sellers during rallies and declines, respectively. It combines two important pieces of market information—the price acceleration
and volumes.
Pressure Index: The pressure index PRI measures the buying and selling pressure over a certain range within a time interval by moving around its zero line. The index indicates a rise in buying pressure when it crosses above the zero line and a rise in selling pressure
when it crosses below the zero line level. The buying and selling force moves the last price during the session to form a range with low and high boundaries.
Strength Index Index: The strength index SI is a leading indicator to the pressure index. It measures the ability of buyers to resist sellers and vice versa. SI of today is the ratio of the latest pressure index value to the strain of today.
Power Index: It measures the buying and selling power within a time interval by moving around its zero line.
Intensity Index: The intensity index II measures the buying and selling intensity within a time interval by moving around its zero line.
Dynamic Strength Index: The sole purpose of the dynamic strength index DSI and the integral dynamic strength index IDSI is to lead their intensity indicator peers.
Integral Force Index
Integral Pressure Index
Integral Strength Index
Integral Power Index
Integral Intensity Index
Integral Dynamic Strength Index
The following example shows a trade following the signal while several indicators are crossing the zero line:
Integral performance indicators have a fewer number of trades than the performance indicators. This result is normal, as the integral indicators are less sensitive than their peers. Moreover, the power, intensity, and dynamic strength are less sensitive than the force, pressure, and strength indicators. The same applies for their integrals. Therefore, the integrals of power, intensity, and dynamic strength indicators are more inclined to be medium-term indicators.
As the paper is suggesting "the linear momentum and the new performance indicators should make a significant change in categorizing several indicators in technical analysis."
Technical indicators are using biased mathematical implementations. For example Momentum Index is in reality a velocity indicator, Force index a Momentum indicator and so on. From a Physical perspective correct momentum, force, velocity etc. needs to be corrected and re-categorized.
The author also gives important insights in how these indicators can be used "simultaneously to identify price turning points and filter irrelevant divergences."
"This paper will attempt to adjust the price momentum and force concepts introduced by Welles Wilder and Alexander Elder, respectively. By introducing the concept of linear momentum, new indicators will emerge to dissect the market performance into six main elements: market’s force, pressure, strength, power, intensity, and dynamic strength. This will lead to a deeper insight about market action. The leading performance indicators can be used simultaneously to identify price turning points and filter irrelevant divergences. The linear momentum and the new performance indicators should make a significant change in categorizing several indicators in technical analysis."
Suggestions and feedbacks are welcome
Hope you enjoy this,
CryptoStatistical
Linear Momentum and Performance Indicators (IFTA Jan 2019)This a porting to Trading View of the 12 new indicators introduced in IFTA Journal (January Edition) by Akram El Sherbini, MFTA, CFTe, CETA.
Indicators are available in "Linear Momentum and Performance Indicators" at page four.
IFTA Journal is available below:
ifta.org
Indicators implemented herein:
Linear Force Index: The linear force index LFI measures the force of buyers and sellers during rallies and declines, respectively. It combines two important pieces of market information—the price acceleration
and volumes.
Pressure Index: The pressure index PRI measures the buying and selling pressure over a certain range within a time interval by moving around its zero line. The index indicates a rise in buying pressure when it crosses above the zero line and a rise in selling pressure
when it crosses below the zero line level. The buying and selling force moves the last price during the session to form a range with low and high boundaries.
Strength Index Index : The strength index SI is a leading indicator to the pressure index. It measures the ability of buyers to resist sellers and vice versa. SI of today is the ratio of the latest pressure index value to the strain of today.
Power Index : It measures the buying and selling power within a time interval by moving around its zero line.
Intensity Index : The intensity index II measures the buying and selling intensity within a time interval by moving around its zero line.
Dynamic Strength Index : The sole purpose of the dynamic strength index DSI and the integral dynamic strength index IDSI is to lead their intensity indicator peers.
Integral Force Index
Integral Pressure Index
Integral Strength Index
Integral Power Index
Integral Intensity Index
Integral Dynamic Strength Index
The following example shows a trade following the signal while several indicators are crossing the zero line:
Integral performance indicators have a fewer number of trades than the performance indicators. This result is normal, as the integral indicators are less sensitive than their peers. Moreover, the power, intensity, and dynamic strength are less sensitive than the force, pressure, and strength indicators. The same applies for their integrals. Therefore, the integrals of power, intensity, and dynamic strength indicators are more inclined to be medium-term indicators.
As the paper is suggesting "the linear momentum and the new performance indicators should make a significant change in categorizing several indicators in technical analysis."
Technical indicators are using biased mathematical implementations. For example Momentum Index is in reality a velocity indicator, Force index a Momentum indicator and so on. From a Physical perspective correct momentum, force, velocity etc. needs to be corrected and re-categorized.
The author also gives important insights in how these indicators can be used "simultaneously to identify price turning points and filter irrelevant divergences."
"This paper will attempt to adjust the price momentum and force concepts introduced by Welles Wilder and Alexander Elder, respectively. By introducing the concept of linear momentum, new indicators will emerge to dissect the market performance into six main elements: market’s force, pressure, strength, power, intensity, and dynamic strength. This will lead to a deeper insight about market action. The leading performance indicators can be used simultaneously to identify price turning points and filter irrelevant divergences. The linear momentum and the new performance indicators should make a significant change in categorizing several indicators in technical analysis."
Suggestions and feedback are welcome
Hope you enjoy this,
CryptoStatistical
Newton Force and MomentumThis indicator is meant to show the Force of price, based on Newton's Second Law of Motion; and the momentum of price. Force is the value on the left, and momentum on the right.
Originally this was supposed to only be an indicator looking at Force, but because the already popular indicator called "Momentum" does not calculate the momentum of price, but rather the change of price depending on how far back you want to look; I decided to add the Momentum aspect to the indicator.
*BTW if you find this script useful thank and follow @overttherainbow, because they are the one who gave me the idea for this script.*
Seasonal Momentum Indicator This is basically a 5-period seasonal average with an applied momentum (10 ) applied. This is plotted and compared to the current momentum (10). The current momentum is in red while the seasonal momentum is in blue.
You can see that whenever the seasonal momentum and the current momentum are in the same direction, the probability of the trend continuing is higher. Also whenever there is a divergence in the two; the red line (current momentum) will often catch up to the blue (seasonal momentum).
Another use of this indicator is as a divergence detector. If you turn off the red line, you will have only the blue line plotted on the graph. Take this and apply lines to see if the momentum diverges from the price (see example).
I hope you enjoy this one. It only works for securities which have a five year record. You can use it on different time frames but the annual is probably the best and most useful.
Happy Trading
--SpreadEagle71
CMO (Chande Momentum Oscillator) Strategy Backtest This indicator plots Chande Momentum Oscillator. This indicator was
developed by Tushar Chande. A scientist, an inventor, and a respected
trading system developer, Mr. Chande developed the CMO to capture what
he calls "pure momentum". For more definitive information on the CMO and
other indicators we recommend the book The New Technical Trader by Tushar
Chande and Stanley Kroll.
The CMO is closely related to, yet unique from, other momentum oriented
indicators such as Relative Strength Index, Stochastic, Rate-of-Change,
etc. It is most closely related to Welles Wilder`s RSI, yet it differs
in several ways:
- It uses data for both up days and down days in the numerator, thereby
directly measuring momentum;
- The calculations are applied on unsmoothed data. Therefore, short-term
extreme movements in price are not hidden. Once calculated, smoothing
can be applied to the CMO, if desired;
- The scale is bounded between +100 and -100, thereby allowing you to
clearly see changes in net momentum using the 0 level. The bounded scale
also allows you to conveniently compare values across different securities.
CMO (Chande Momentum Oscillator)Hi
Let me introduce my CMO (Chande Momentum Oscillator) script.
This indicator plots Chandre Momentum Oscillator. This indicator was
developed by Tushar Chande. A scientist, an inventor, and a respected
trading system developer, Mr. Chande developed the CMO to capture what
he calls "pure momentum". For more definitive information on the CMO and
other indicators we recommend the book The New Technical Trader by Tushar
Chande and Stanley Kroll.
The CMO is closely related to, yet unique from, other momentum oriented
indicators such as Relative Strength Index, Stochastic, Rate-of-Change,
etc. It is most closely related to Welles Wilder`s RSI, yet it differs
in several ways:
- It uses data for both up days and down days in the numerator, thereby
directly measuring momentum;
- The calculations are applied on unsmoothed data. Therefore, short-term
extreme movements in price are not hidden. Once calculated, smoothing
can be applied to the CMO, if desired;
- The scale is bounded between +100 and -100, thereby allowing you to
clearly see changes in net momentum using the 0 level. The bounded scale
also allows you to conveniently compare values across different securities.
Adaptive Momentum Scalper (AMS) - Prop Firm Safe**This has only been used in TV strategy testing and has not been used by me on a live account yet.**
This is a strategy is a quick momentum trading with a close stop loss. This scalping strategy looks for big candles and momentum and enters a quick trade. SL and TP are ATR based and the duration of open time is limited to the number of candles entered in the settings.
Please take a look and let me know your thoughts. If anyone can collect some solid data on forward testing please let me know.
15-Metric Strong Buy System (Final Version)This Pine Script analyzes 15 key technical signals to identify strong buy opportunities.
It assigns a score out of 13 for core conditions and checks 2 optional filters (Delivery Spike and RS > Nifty).
It only shows signals on the latest bar to keep the chart clean.
🧠 Core Structure Breakdown
✅ SECTION 1: Core Technical Signals (13 total)
Each of the following conditions adds 1 point to the score:
# Signal What It Checks Why It's Used
1 RSI (Daily & 1H) Both timeframes >55 and rising Confirms strength across multiple timeframes
2 Price > EMA20 & EMA50 Above short/medium-term trend lines Confirms uptrend support
3 Price near 20-day High Within 2% of recent high Breakout proximity
4 Volume > 20 SMA Unusual trading activity Confirms strength behind move
5 MACD Bullish Line > Signal and Histogram > 0 Momentum is building
6 ADX > 20 and +DI > -DI Trend strength and direction Validates strong directional trend
7 Bullish Candle Green candle with higher close Confirms bullish price action
8 BB Breakout Close > Upper Bollinger Band Volatility breakout confirmation
9 Supertrend Proxy Close above custom supertrend Simple trend direction filter
10 Close > Prev. High Break of short-term resistance Momentum continuation
11 VWAP Filter Close above VWAP Price leadership relative to volume
12 Weekly RSI > 50 Long-term trend momentum Confirms broader trend strength
13 BB Squeeze Bollinger Band width is low Signals potential upcoming move
🎯 Total Score = 0 to 13
🎯 SECTION 2: Optional Strength Filters (Displayed as labels)
Label What It Means Why It Matters
RS > Nifty Relative strength RSI > 55 vs Nifty Indicates outperformance
Delivery Spike Volume > 1.5× avg & bullish candle Suggests institutional activity
These are not included in the score, but if triggered, the chart displays:
🏷️ "RS > NIFTY" and/or
🏷️ "DELIVERY SPIKE"
in black background + white text boxes above the latest bar.
✅ SECTION 3: Output Logic
If score ≥ 12 → Show "STRONG BUY" on latest candle
If score = 11 → Show "BUY"
Also shows score label like Score: 12/13
Optional filters are displayed as labels if true
No clutter on historical candles — only current signal is shown.
🔔 SECTION 4: Alerts
Alert Trigger What It Does
score >= 12 Fires "Strong Buy Alert"
score == 11 Fires "Buy Alert"
⚖️ Pros & Cons (Analyst View)
✅ Pros:
Covers breadth of momentum, trend, breakout, and strength
Uses multi-timeframe confirmation for reliability
Avoids repainting by using latest bar only
Optional filters help detect smart money participation
Clean, uncluttered interface
❌ Cons:
Doesn’t include fundamentals
False positives possible during sideways or news-driven moves
No exit logic or Sell trigger
Uses proxy for Delivery spike, not actual delivery % (due to TradingView data limits)
💡 When to Trust the Signal?
Score Label Confidence
13/13 ✅ STRONG BUY + optional filters 🔥 Extremely strong
12/13 ✅ STRONG BUY ✅ Very high
11/13 BUY ⚠️ Medium — confirm with chart pattern
<11 — ❌ Avoid
Laplace Momentum Percentile ║ BullVision 🔬 Overview
Laplace Momentum Percentile ║ BullVision is a custom-built trend analysis tool that applies Laplace-inspired smoothing to price action and maps the result to a historical percentile scale. This provides a contextual view of trend intensity, with optional signal refinement using a Kalman filter.
This indicator is designed for traders and analysts seeking a normalized, scale-independent perspective on market behavior. It does not attempt to predict price but instead helps interpret the relative strength or weakness of recent movements.
⚙️ Key Concepts
📉 Laplace-Based Smoothing
The core signal is built using a Laplace-style weighted average, applying an exponential decay to price values over a specified length. This emphasizes recent movements while still accounting for historical context.
🎯 Percentile Mapping
Rather than displaying the raw output, the filtered signal is converted into a percentile rank based on its position within a historical lookback window. This helps normalize interpretation across different assets and timeframes.
🧠 Optional Kalman Filter
For users seeking additional smoothing, a Kalman filter is included. This statistical method updates signal estimates dynamically, helping reduce short-term fluctuations without introducing significant lag.
🔧 User Settings
🔁 Transform Parameters
Transform Parameter (s): Controls the decay rate for Laplace weighting.
Calculation Length: Sets how many candles are used for smoothing.
📊 Percentile Settings
Lookback Period: Defines how far back to calculate the historical percentile ranking.
🧠 Kalman Filter Controls
Enable Kalman Filter: Optional toggle.
Process Noise / Measurement Noise: Adjust the filter’s responsiveness and tolerance to volatility.
🎨 Visual Settings
Show Raw Signal: Optionally display the pre-smoothed percentile value.
Thresholds: Customize upper and lower trend zone boundaries.
📈 Visual Output
Main Line: Smoothed percentile rank, color-coded based on strength.
Raw Line (Optional): The unsmoothed percentile value for comparison.
Trend Zones: Background shading highlights strong upward or downward regimes.
Live Label: Displays current percentile value and trend classification.
🧩 Trend Classification Logic
The indicator segments percentile values into five zones:
Above 80: Strong upward trend
50–80: Mild upward trend
20–50: Neutral zone
0–20: Mild downward trend
Below 0: Strong downward trend
🔍 Use Cases
This tool is intended as a visual and contextual aid for identifying trend regimes, assessing historical momentum strength, or supporting broader confluence-based analysis. It can be used in combination with other tools or frameworks at the discretion of the trader.
⚠️ Important Notes
This script does not provide buy or sell signals.
It is intended for educational and analytical purposes only.
It should be used as part of a broader decision-making process.
Past signal behavior should not be interpreted as indicative of future results.
Buy/Sell Ei - Premium Edition (Fixed Momentum)**📈 Buy/Sell Ei Indicator - Smart Trading System with Price Pattern Detection 📉**
**🔍 What is it?**
The **Buy/Sell Ei** indicator is a professional tool designed to identify **buy and sell signals** based on a combination of **candlestick patterns** and **moving averages**. With high accuracy, it pinpoints optimal entry and exit points in **both bullish and bearish trends**, making it suitable for forex pairs, stocks, and cryptocurrencies.
---
### **🌟 Key Features:**
✅ **Advanced Candlestick Pattern Detection**
✅ **Momentum Filter (Customizable consecutive candle count)**
✅ **Live Trade Mode (Instant signals for active trading)**
✅ **Dual MA Support (Fast & Slow MA with multiple types: SMA, EMA, WMA, VWMA)**
✅ **Date Filter (Focus on specific trading periods)**
✅ **Win/Loss Tracking (Performance analytics with success rate)**
---
### **🚀 Why Choose Buy/Sell Ei?**
✔ **Precision:** Reduces false signals with strict pattern rules.
✔ **Flexibility:** Works in both live trading and backtesting modes.
✔ **User-Friendly:** Clear labels and alerts for easy decision-making.
✔ **Adaptive:** Compatible with all timeframes (M1 to Monthly).
---
### **🛠 How It Works:**
1. **Trend Confirmation:** Uses MAs to filter trades in the trend’s direction.
2. **Pattern Recognition:** Detects "Ready to Buy/Sell" and confirmed signals.
3. **Momentum Check:** Optional filter for consecutive bullish/bearish candles.
4. **Live Alerts:** Labels appear instantly in Live Trade Mode.
---
### **📊 Ideal For:**
- **Day Traders** (Scalping & Intraday)
- **Swing Traders** (Medium-term setups)
- **Technical Analysts** (Backtesting strategies)
**🔧 Designed by Sahar Chadri | Optimized for TradingView**
**🎯 Trade Smarter, Not Harder!**
Q Momentum FlowQ Momentum Flow
A hybrid trend engine combining breakout-driven momentum shifts with adaptive volatility bands. Designed for traders who want clear entries, intelligent exits, and a balance between reactivity and noise control.
🔧 Core Features
1. Momentum Shift Detection
• Uses dynamic breakout levels (ATR-based) to identify impulse-driven price shifts.
• Filters weak moves by enforcing a cooldown period and direction alternation.
2. Adaptive Trend Framework
• Trend direction is derived from a dual-EMA anchor with dynamic volatility bands.
• Sensitivity automatically adjusts based on smoothed price deviation.
3. Entry & Exit System
• Buy and sell arrows appear on valid momentum + trend alignment.
• Exit markers signal early trend weakening before full reversal.
• Arrows and labels are visually separated to reduce chart clutter.
4. Alerts (Fully Integrated)
• Buy and Sell alerts on valid entry triggers.
• Separate alerts for early exits based on weakening trend conditions.
• Compatible with automation or notification setups.
⚙️ Configurable Inputs
• Trend Length — Controls how fast the adaptive bands react.
• Smoothing — Smooths volatility for more stable band generation.
• Sensitivity — Adjusts band width and breakout tolerance.
• Visual Settings — Customize background color, arrow styles, and label size.
• Exit Logic — Built-in reversal detection to signal when trend weakens.
📈 How to Use
• Follow Buy/Sell arrows for directional entries.
• Stay in trade until either:
— Opposite signal appears, or
— “Exit” label triggers based on adaptive trend weakening.
• Use background and bar colors for regime clarity.
Ceres Trader Simple Trend & Momentum SignalsCeres Trader – Simple Trend & Momentum Signals
Description:
Cut through chart noise with a lightweight, two-factor signal system that combines a classic trend filter (200 EMA) with momentum confirmation (smoothed RSI as a QQE proxy). This indicator plots clean entry arrows—no background shading, no clutter—so you can trade only in the high-probability regime:
Trend Filter: 200-period exponential moving average
Momentum Filter: RSI(14) smoothed over N bars, offset by 50 to create a zero-line
Long Entry: Price above the 200 EMA and the smoothed RSI crosses up through zero → green up-arrow below bar
Short Entry: Price below the 200 EMA and the smoothed RSI crosses down through zero → red down-arrow above bar
Key Features:
Minimalist display: only the 200 EMA and entry arrows
Customizable inputs: EMA length, RSI length, RSI smoothing period
Ultra-low CPU load: suitable for lower timeframes (e.g. 1 min gold futures)
Yellow label text: for optimal visibility on dark or light chart backgrounds
How to Use:
Add the script to your TradingView chart.
Choose your timeframe and adjust inputs as needed.
Take only the long signals when price is above the EMA, and only the short signals when price is below.
Place stops just beyond the EMA; targets can be measured swings or fixed R-multiples.
Notes:
Designed as a regime-based entry filter—no exits or background fills included.
Feel free to combine with your own stop-loss, take-profit, and money-management rules.
Trade smarter, not harder—let the market tell you only when both trend and momentum align.
Quad Rotation StochasticQuad Rotation Stochastic
The Quad Rotation Stochastic is a powerful and unique momentum oscillator that combines four different stochastic setups into one tool, providing an incredibly detailed view of market conditions. This multi-timeframe stochastic approach helps traders better anticipate trend continuations, reversals, and momentum shifts with greater precision than traditional single stochastic indicators.
Why this indicator is useful:
Multi-layered Momentum Analysis: Instead of relying on one stochastic, this script tracks four independent stochastic readings, smoothing out noise and confirming stronger signals.
Advanced Divergence Detection: It automatically identifies bullish and bearish divergences for each stochastic, helping traders spot potential reversals early.
Background Color Alerts: When a configurable number (e.g., 3 or 4) of the stochastics agree in direction and position (overbought/oversold), the background colors green (bullish) or red (bearish) to give instant visual cues.
ABCD Pattern Recognition: The script recognizes "shield" patterns when Stochastic 4 remains stuck at extreme levels (above 90 or below 10) for a set time, warning of potential trend continuation setups.
Super Signal Alerts: If all four stochastics align in extreme conditions and slope in the same direction, the indicator plots a special "Super Signal," offering high-confidence entry opportunities.
Why this indicator is unique:
Quad Confirmation Logic: Combining four different stochastics makes this tool much less prone to false signals compared to using a single stochastic.
Customizable Divergence Coloring: Traders can choose to have divergence lines automatically match the stochastic color for clear visual association.
Adaptive ABCD Shields: Innovative use of bar counting while a stochastic remains extreme acts as a "shield," offering a unique way to filter out minor fake-outs.
Flexible Configuration: Each stochastic's sensitivity, divergence settings, and visual styling can be fully customized, allowing traders to adapt it to their own strategy and asset.
Example Usage: Trading Bitcoin with Quad Rotation Stochastic
When trading Bitcoin (BTCUSD), you might set the minimum count (minCount) to 3, meaning three out of four stochastics must be in agreement to trigger a background color.
If the background turns green, and you notice an ABCD Bullish Shield (Green X), you might look for bullish candlestick patterns or moving average crossovers to enter a long trade.
Conversely, if the background turns red and a Super Down Signal appears, it suggests high probability for further downside, giving you strong confirmation to either short BTC or avoid entering new longs.
By combining divergence signals with background colors and the ABCD shields, the Quad Rotation Stochastic provides a layered confirmation system that gives traders greater confidence in their entries and exits — particularly in fast-moving, volatile markets like Bitcoin.
Renko Momentum Wave (RMW)Renko Momentum Wave
The Renko Momentum Wave (RMW) is a custom momentum oscillator specifically designed for Renko-based price action analysis. Unlike traditional oscillators that rely on time-based data, the RMW focuses on the directional consistency of Renko bricks, measuring the strength of trend momentum purely based on price movement.
MACD [AlchimistOfCrypto]🌠 MACD Optimized with Python – Decoding the Chaos of Markets 🌠
Category: Trend Analysis 📈
"Like the dynamic systems studied in chaos theory, financial markets appear unpredictable at first glance. Yet, as Edward Lorenz demonstrated, even in apparent chaos reside harmonious mathematical structures. The MACD (Moving Average Convergence Divergence) represents this quest for order within disorder—a mathematical formulation that extracts coherent signals from price noise. By combining moving averages of different periods, this indicator reveals hidden cycles and precise moments when market energy shifts, like a pendulum obeying the immutable laws of physics."
📊 Technical Overview
The MACD Optimized with Python is a revolutionary take on the classic Moving Average Convergence Divergence indicator. Powered by Python-driven optimizations 🐍, it adapts to specific timeframes, delivering razor-sharp signals for traders seeking to navigate the market’s chaos with precision.
⚙️ How It Works
- Python-Optimized Parameters 🔧: Unlike the standard MACD (12,26,9), our version uses mathematically tailored parameters for each timeframe:
- 1H: 11/38/27
- 4H: 9/98/27
- 1D: 45/90/29
- 1W: 9/16/3
- 2W: 5/20/5
- Intuitive Visuals 🎨:
- Crossovers marked by colored dots 🟢🔴 for clear entry/exit signals.
- Histogram with a color gradient 🌈 to show direction and momentum intensity.
- Customizable Signals 🎯: Choose to display long, short, or both signals to match your trading style.
🚀 How to Use This Indicator
1. Select Your Timeframe ⏰: Choose the timeframe aligned with your trading horizon (1H, 4H, 1D, 1W, or 2W).
2. Spot Crossovers 🔍: Watch for the MACD line (green) crossing the signal line (red) to identify potential trend changes.
3. Confirm with Divergence ✅: Combine crossovers with price-MACD divergence for high-probability trend reversal signals.
📅 Release Notes
Unlock the hidden order of markets with this Python-optimized MACD. Stay tuned for future enhancements! ✨
🏷️ Tags
#Trading #TechnicalAnalysis #MACD #TrendAnalysis #Python #MultiTimeframe #Divergence #Momentum #TradingStrategy #RiskManagement #Forex #Stocks #Crypto #ChaosTheory #OptimizedTrading
Ehlers Reverse EMAOverview
The Ehlers Reverse EMA is an advanced momentum indicator designed by John Ehlers and implemented here with additional features for improved trading decision-making. This indicator helps identify trend direction, potential reversals, and generates precise buy/sell signals based on multiple confirmation methods.
What Makes It Unique
Unlike conventional EMAs, the Ehlers Reverse EMA uses a sophisticated reverse-engineering approach to provide smoother, more responsive signals with reduced lag. The indicator combines a proprietary EMA calculation with optional moving average confirmation to filter out market noise and highlight meaningful price movements.
Features
Dynamic Color Coding: Green when momentum is positive, red when negative
Moving Average Overlay: Optional MA with selectable types (SMA, EMA, WMA, VWMA)
Multiple Signal Generation Methods:
Zero-Line Crossovers: Signals when momentum shifts from positive to negative or vice versa
MA Crossovers: Signals when the Ehlers EMA crosses its own moving average
Combined Confirmation: Requires both zero-line and MA crossovers for highest probability signals
On-Chart Signal Visualization: Clear buy/sell arrows directly on the price chart
Customizable Parameters: Adjust alpha value, MA type, and signal generation to suit your trading style
How To Use
Add the main "Ehlers Reverse EMA" indicator to your chart
Add the companion "EREMA Signals" indicator to display buy/sell signals on the price chart
Ensure both indicators have matching settings for consistency
Signal Interpretation
Buy Signals (Green Triangles): Appear below price bars when conditions are met
Sell Signals (Red Triangles): Appear above price bars when conditions are met
Recommended Timeframes
Works well on all timeframes from 5-minute to daily charts. For swing trading, 4H or daily timeframes often provide the most reliable signals.
Strategy Applications
Trend Following: Use zero-line crossovers to enter with the trend
Momentum Trading: Use MA crossovers for entry and exit points
Confirmation Tool: Combine with price action or other indicators for higher-probability trades
Divergence Analysis: Compare indicator movement with price action to spot potential reversals
Parameter Settings
Alpha (Default: 0.1): Lower values create smoother lines but more lag; higher values increase responsiveness but may increase false signals
MA Length (Default: 14): Adjust based on your trading timeframe and style
This versatile indicator helps identify high-probability trading opportunities while filtering out market noise, making it valuable for both novice and experienced traders alike.
Aggregated Spot vs Perp Volume (% Change)Aggregated Spot vs Perp Volume (% Change)
Description
The "Aggregated Spot vs Perp Volume (% Change)" indicator helps crypto traders compare the momentum of spot and perpetual futures (perp) trading volumes across 12 major exchanges. It calculates the percentage change in volume from one bar to the next, highlighting divergences and showing which market—spot or perp—is leading a move. By focusing on relative changes, it eliminates the issue of absolute volume differences, making trends clear.
The indicator aggregates data from Binance, Bybit, OKX, Coinbase, Bitget, MEXC, Phemex, BingX, WhiteBIT, BitMEX, Kraken, and HTX. Users can toggle exchanges and choose to measure volume in coin units (e.g., BTC) or USD.
How It Works
Volume Aggregation:
Fetches spot and perp volume data for the selected crypto (e.g., BTC) from up to 12 exchanges.
Spot volume is included only if perp volume is available for the same pair, ensuring consistency.
Volume can be measured in coin units or USD (volume × spot price).
Percentage Change:
Calculates the percentage change in spot and perp volumes from the previous bar:
Percentage Change = ((Current Volume − Previous Volume) / Previous Volume) ×100
This focuses on relative momentum, making spot and perp volumes directly comparable.
Visualization:
Spot volume % change is plotted as a blue line, and perp volume % change as a red line, both with a linewidth of 1.
Who Should Use It
Crypto Traders: To understand spot vs. perp market dynamics across exchanges.
Momentum Traders: To spot which market is driving price moves via volume divergences.
Scalpers/Day Traders: For identifying short-term shifts in market activity.
Analysts: To study liquidity and sentiment in crypto markets.
How to Use It
Blue line: Spot volume % change.
Red line: Perp volume % change.
Look for divergences (e.g., a sharp rise in the red line but not the blue line suggests perp markets are leading).
Combine with Price:
Use alongside price charts to confirm trends or spot potential reversals.
Context
Spot markets reflect actual asset trading, while perp markets, with leverage, attract speculative activity and often show higher volumes. This indicator uses percentage change to compare their momentum, helping traders identify market leadership and divergences. For example, a 50% increase in both spot and perp volumes plots at the same level, making it easy to see relative shifts across exchanges.
