RSI / Stoch / SRSI / MFI / Aroon Overlay [SigmaDraconis]Combines 4 popular indicators (RSI, Stoch, SRSI, MFI) and 1 peculiar one (Aroon) in 1 for those who want to save indicators but not only.
This is an evolution of my (simpler) "RSI / Stoch / Stoch RSI (SRSI) Overlay " that you can find on my scripts.
Added bands for oversold/overbought areas (70/30 common for RSI and 80/20 for SRSI and MFI), as well as a middle 50 horizontal line.
Neutral bands around 55-45 added as well that can be hidden for less clutter. I also recommend a more transparent coloring for these since Pine script doesn't allow default transparency for horizontal lines.
By default only RSI and Stoch are activated, you can activate Aroon, MFI and SRSI on the inputs window.
Some extra notes:
* RSI, Stoch and MFI can help to strengthen one's decision as well as Aroon to predict a possible trend reversal, SRSI can show when RSI has high probability of being topped or bottomed when oversold/overbought but don't forget to look at volume and how the trend progresses that can keep SRSI above 80 or below 20 while RSI and price continues to trend, divergences are most helpful here to find possible reversal areas.
* This chart depicts some interesting divergences, as well as Stoch tops and bottoms and confluences between RSI/MFI and Stoch on some over-extended tops and bottoms that shown being good reversal zones.
RSI resistances are shown as well, failing to break above 60 or the neutral zone (this is a bearish BTC trend chart after all) or failing to gain support to break up certain levels (RSI notes a more bullish trend when consistently above 60 and more bearish below 40).
If you like it and use it to profit, please tip me below :)
Tip jars:
BTC: 15nMBiEGVrdGcu9C1h6QRcTNRvugHkqrMQ
ETH: 0xC33845946c48B61fBCbEA0367ec2238CaF2b73bc
BTS: sigma-draconis
Komut dosyalarını "股价站上60月线" için ara
Chop and explodeThe purpose of this script is to decipher chop zones from runs/movement/explosion
The chop is RSI movement between 40 and 60
tight chop is RSI movement between 45 and 55. There should be an explosion after RSI breaks through 60 (long) or 40 (short). Tight chop bars are colored black, a series of black bars is tight consolidation and should explode imminently. The longer the chop the longer the explosion will go for. tighter the better.
Loose chop (whip saw/yellow bars) will range between 40 and 60.
the move begins with blue bars for long and purple bars for short.
Couple it with your trading system to help stay out of chop and enter when there is movement. Use with "Simple Trender."
Best of luck in all you do. Get money.
Build A BotThis is the Robot we built during the 60 Minute Build-A-Bot webinar on September 12, 2018. We had a great time, and a lot of participation and the best part was that we finished up this robot and even ran a backtest in exactly 60 minutes! We built this robot based on recommendations and suggestions from those who were attending live. Lots of pieces in this robot, but you can always tinker with it, remove stuff, add things, whatever you want!
This version uses the CCI as a trigger for trade entry. The other version uses the Hull Moving Average as a trigger for trade entry.
Volume Zone Oscillator and Price Zone (VZO/PZO) [NeoButane]" Volume Precedes Price is the conceptual idea for the oscillator."
"The main idea of the VZO was to try to change the OBV to look like an oscillator rather than an indicator, also to include time; primarily to identify which zone the volume is located in during a specific period "
How to read this indicator:
Positive reading -> bullish
Negative reading -> bearish
-60 or 60 is seen as the limit of the oscillator range, and a pullback should be expected from there.
Plus and minus signs have been added to the top and bottom for VZO and PZO, with an adjustable threshold to trigger.
Alert conditions have been added to this indicator for ease of use.
Volume Zone Oscillator, write-up by the author (recommended reading)
http:capitalsynergy.com/resources/IFTA09VZO.pdf
Volume Zone Oscillator, uses and formula
https:www.investopedia.com/articles/active-trading/072815/how-interpret-volume-zone-oscillator.asp
Price Zone Oscillator, uses and formula
https:www.investopedia.com/terms/p/price-zone-oscillator.asp
Fib,Guppy Multiple MA(FGMMA)(A/D & Volume Weight,SMA,EMA)[cI8DH]Features:
- 3 + 12 MAs (12 is chosen because Guppy has 12 MAs)
- MA types can be set to Simple, Exponential, Weighted, and Smoothed
- Volume weight can be applied to all available MAs (the built-in VWMA uses Simple MA)
- It is possible to count in only effective portions of the volume in the equation by using Accum/Dist Volume Weight
- Secondary smoothing (useful when volume weight is enabled)
- Predefined MA sets based on Fibonacci sequence (2,3,5,8,.., 377), Guppy (3,5,8,10,12,15 &30,35,40,45,50,60), and cI8DH (2,3,5,8,12,17 & 30,34,39,45,52,60)
Recommended settings:
- hlc3 as input source captures all the essential information encapsulated in a candle. I'd use hlc3 as the default option. In uptrend, "low" and in downtrend, "high" might give more relevant results when using MAs for structural analysis of a market. For commonly used MAs (EMA20, SMA50,100,200), "close" should be used due to their self-fulfilling prophecy effect.
- When you have volume weight above 0, you may want to use secondary smoothing.
- Try not to use Simple MA for smaller lengths (below 20). Sharp changes in the past (right before the period specified by the length) will affect the current value of MA dramatically leading to confusion.
- I am using the first 3 MAs for SMA 50,100,200. You can disable them from the MA type selector all at once when using Fib or Guppy ribbons.
MA-based analysis:
There are different ways of structuring a market. Geometrical (trend lines, channels, fans, patterns, etc) and Fib retracement-based structuring is very common among traders. MAs give an alternative way of analyzing markets. MA ribbons such as Guppy (6 slow and 6 fast-moving MAs) are popular for analyzing market flow. IMO default Guppy sets are a bit random as the numbers do not have an elegant sequence. So I proposed my sets based on increasing sequene spacing (+1). These two MA ribbons are good for market flow analysis but the spacing of the MAs are not ideal for structuring a market. Ribbons based on the Fib sequence is a better choice for structuring a market. This is the equivalent of Fib channels but in a more dynamic form. Among other things, MA Fib ribbon can be used to assess market momentum and to compare different stages of a market. Here are two "educational-only" examples:
Notes:
- Smoothed MA with length L = Exponential MA with length 2*L-1
- Read the background section in my ADP indicator to understand how A/D Volume is calculated
Better RSI with bullish / bearish market cycle indicator This script improves the default RSI. First. it identifies regions of the RSI which are oversold and overbought by changing the color of RSI from white to red. Second, it adds additional reference lines at 20,40,50,60, and 80 to better gauge the RSI value. Finally, the coolest feature, the middle 50 line is used to indicate which cycle the price is currently at. A green color at the 50 line indicates a bullish cycle, a red color indicators a bearish cycle, and a white color indicates a neutral cycle.
The cycles are determined using the RSI as follows:
if RSI is overbought, cycle switches to bullish until RSI falls below 40, at which point it becomes neutral
if RSI is oversold, cycle switches bearish until RSI rises above 60, at which point it becomes neutral
a neutral cycle is exited at either overbought or oversold conditions
Very useful, please give it a try and let me know what you think
MG - Multiple time frame Stochastic RSIAllows user to view stochastic RSI from two different time frames.
Each stochastic RSI indicator is fully customizable, offering the following options:
- Timeframe
- RSI source
- RSI length
- Stochastic length
- Stochastic average length
- Stochastic smoothing length
Usage:
Comparing stochastic RSI across two different time frames can sharpen trades. For example, if you configure a 60 min and 5/15 min stochastic RSI pair, you might enter a long trade when the 60 min stoch RSI crosses up and exit / take profit when the 5 min stock RSI crosses down.
NG [Simple Harmonic Oscillator]The SHO is a bounded oscillator for the simple harmonic index that calculates the period of the market’s cycle.
The oscillator is used for short and intermediate terms and moves within a range of -100 to 100 percent.
The SHO has overbought and oversold levels at +40 and -40, respectively.
At extreme periods, the oscillator may reach the levels of +60 and -60.
The zero level demonstrates an equilibrium between the periods of bulls and bears.
The SHO oscillates between +40 and -40.
The crossover at those levels creates buy and sell signals.
In an uptrend, the SHO fluctuates between 0 and +40 where the bulls are controlling the market.
On the contrary, the SHO fluctuates between 0 and -40 during downtrends where the bears controlthe market.
Reaching the extreme level -60 in an uptrend is a sign of weakness.
Ichimoku Cloud w/SelIchimoku Cloud with selection for:
Regular:
conversionPeriods = 9,
basePeriods = 26
laggingSpan2Periods = 52,
displacement = 26
Crypto:
conversionPeriods = 10,
basePeriods = 30,
laggingSpan2Periods = 60,
displacement = 30
Crypto Doubled:
conversionPeriods = 20,
basePeriods = 60,
laggingSpan2Periods = 120,
displacement = 30
3 Linear Regression CurveFast 3LRC - 15/30/60 standard settings - 15/30 give a lot of noise, but give you a some time to prepare for the 60 to flip
DEMA Double Exponential Moving Average Strategy@Moneros 2017
Based on The DEMA is a fast-acting moving average that is more responsive to market changes than a traditional moving average
en.wikipedia.org
!!!! IN ORDER TO AVOID REPAITING ISSUES !!!!
!!!! DO NOT VIEW IN LOWER RESOLUTIONS THAN res/2 PARAMETER !!!!
for example res = 120 view >= 60m res = 60 view >= 30m
the length of the DEMA sampling shouldn't be longer than a candle
Best profits tested on BTCUSD
res = 105 slowPeriod = 2 fastPeriod = 32
res = 125 slowPeriod = 3 fastPeriod = 21
res = 120 slowPeriod = 2 fastPeriod = 32
res = 130 slowPeriod = 1 fastPeriod = 24
res = 40 slowPeriod = 4 fastPeriod = 93
res = 60 slowPeriod = 1 fastPeriod = 67
BTCUSD
RSI in Bull and Bear Market V2.0RSI oversold at 60/40 in bullish market
And Overbought at 40/60 in Bearish market
for more info of this Strategy
WaveTrend [MastroFran]Great indicator to show short term price movements. 5 day moving average oscillator. When green crosses red and under the 60 mark, buy with caution. when over the 60 mark and red crosses green sell immediately for highest profits.
Hersheys CoCo VolumeCoCo Volume shows you volume movement of your symbol after subtracting the movement from another symbol, preferrably the sector or market the stock belongs to.
My latest update to my CoCoVolume Indicator. It calculates today's volume percent over the 60 period average for both your symbol and index, and displays that difference. If the percent is over the max it highlights the color, showing BIG action for that stock.
The last version was calculating the percent volume difference from yesterday to today for the stock and index and displaying the difference. The prior method had large swings on low volume stocks... this one shows the independent volume action much better. The default values will suit most stocks.
You can set three variables...
- the index symbol, default is SPY
- the period for averaging, default is 60
- the max volume percent, default is 500
Good trading!
Brian Hershey
close-hl2 Price actionStill not tested, but looks very good ; it is the difference between EMA median price and EMA close in different time frame, I used 240, 60, and the current Time frame ,plus one more customed period ; can forcast the price movement , but it s not in scale, so it can not show how much higher or lower the price can goes but just the next direction. I think intraday on 5 ,15 ,60 better then high frame.If you need to try on Daily frame have to change the period to higher then Daily
Everyday 0002 _ MAC 1st Trading Hour WalkoverThis is the second strategy for my Everyday project.
Like I wrote the last time - my goal is to create a new strategy everyday
for the rest of 2016 and post it here on TradingView.
I'm a complete beginner so this is my way of learning about coding strategies.
I'll give myself between 15 minutes and 2 hours to complete each creation.
This is basically a repetition of the first strategy I wrote - a Moving Average Crossover,
but I added a tiny thing.
I read that "Statistics have proven that the daily high or low is established within the first hour of trading on more than 70% of the time."
(source: )
My first Moving Average Crossover strategy, tested on VOLVB daily, got stoped out by the volatility
and because of this missed one nice bull run and a very nice bear run.
So I added this single line: if time("60", "1000-1600") regarding when to take exits:
if time("60", "1000-1600")
strategy.exit("Close Long", "Long", profit=2000, loss=500)
strategy.exit("Close Short", "Short", profit=2000, loss=500)
Sweden is UTC+2 so I guess UTC 1000 equals 12.00 in Stockholm. Not sure if this is correct, actually.
Anyway, I hope this means the strategy will only take exits based on price action which occur in the afternoon, when there is a higher probability of a lower volatility.
When I ran the new modified strategy on the same VOLVB daily it didn't get stoped out so easily.
On the other hand I'll have to test this on various stocks .
Reading and learning about how to properly test strategies is on my todo list - all tips on youtube videos or blogs
to read on this topic is very welcome!
Like I said the last time, I'm posting these strategies hoping to learn from the community - so any feedback, advice, or corrections is very much welcome and appreciated!
/pbergden
Magnet Zones: Trap Detection & Flow Map [@darshakssc]This script detects potential bull and bear trap candles—price actions that may appear strong but are likely to reverse—based on:
🔺 Wick structure
📊 Volume spike behavior
💡 RSI confirmation logic
⏳ Signal cooldown filter to reduce false positives
The indicator then plots:
🟥 Red “🚨 Trap” labels above candles showing possible bull traps
🟩 Green “🧲 Trap” labels below candles showing possible bear traps
➖ Horizontal zone lines to mark these trap levels as “magnet zones,” which may act as future support or resistance
🧠 How It Works:
1. Volume Spike Detection
2. The script first checks for unusually high volume (1.5× the average volume over the last 20 candles).
3. Trap Candle Structure
4. A trap is suspected when there is a long wick opposite the direction of the candle body, signaling a failed breakout or price manipulation.
5. RSI Confirmation
6. Bull Traps: RSI must be above 60
7. Bear Traps: RSI must be below 40
✅ This helps validate whether the price was overbought or oversold.
✅ Cooldown Mechanism
✅ After a trap is detected, it waits for 10 bars before allowing another signal—this reduces noise and overfitting.
✅ How to Use It:
1. Apply on any timeframe, especially effective for intraday trading (e.g. 5m, 15m, 1h).
2. Use the trap signals as early warnings to avoid fake breakouts.
3. Combine with your own strategy or trend-following system for confirmation.
4. The trap lines (magnet zones) can be used as dynamic support/resistance levels for future pullbacks or reversals.
⚠️ Important Note:
This script is for educational purposes only and is not financial advice.
Always use traps in combination with your personal discretion, risk management, and other confluence tools.
Reversal Point Dynamics⇋ Reversal Point Dynamics (RPD)
This is not an indicator; it is a complete system for deconstructing the mechanics of a market reversal. Reversal Point Dynamics (RPD) moves far beyond simplistic pattern recognition, venturing into a deep analysis of the underlying forces that cause trends to exhaust, pause, and turn. It is engineered from the ground up to identify high-probability reversal points by quantifying the confluence of market dynamics in real-time.
Where other tools provide a static signal, RPD delivers a dynamic probability. It understands that a true market turning point is not a single event, but a cascade of failing momentum, structural breakdown, and a shift in market order. RPD's core engine meticulously analyzes each of these dynamic components—the market's underlying state, its velocity and acceleration, its degree of chaos (entropy), and its structural framework. These forces are synthesized into a single, unified Probability Score, offering you an unprecedented, transparent view into the conviction behind every potential reversal.
This is not a "black box" system. It is an open-architecture engine designed to empower the discerning trader. Featuring real-time signal projection, an integrated Fibonacci R2R Target Engine, and a comprehensive dashboard that acts as your Dynamics Control Center , RPD gives you a complete, holistic view of the market's state.
The Theoretical Core: Deconstructing Market Dynamics
RPD's analytical power is born from the intelligent synthesis of multiple, distinct theoretical models. Each pillar of the engine analyzes a different facet of market behavior. The convergence of these analyses—the "Singularity" event referenced in the dashboard—is what generates the final, high-conviction probability score.
1. Pillar One: Quantum State Analysis (QSA)
This is the foundational analysis of the market's current state within its recent context. Instead of treating price as a random walk, QSA quantizes it into a finite number of discrete "states."
Formulaic Concept: The engine establishes a price range using the highest high and lowest low over the Adaptive Analysis Period. This range is then divided into a user-defined number of Analysis Levels. The current price is mapped to one of these states (e.g., in a 9-level system, State 0 is the absolute low, and State 8 is the absolute high).
Analytical Edge: This acts as a powerful foundational filter. The engine will only begin searching for reversal signals when the market has reached a statistically stretched, extreme state (e.g., State 0 or 8). The Edge Sensitivity input allows you to control exactly how close to this extreme edge the price must be, ensuring you are trading from points of maximum potential exhaustion.
2. Pillar Two: Price State Roc (PSR) - The Dynamics of Momentum
This pillar analyzes the kinetic forces of the market: its velocity and acceleration. It understands that it’s not just where the price is, but how it got there that matters.
Formulaic Concept: The psr function calculates two derivatives of price.
Velocity: (price - price ). This measures the speed and direction of the current move.
Acceleration: (velocity - velocity ). This measures the rate of change in that speed. A negative acceleration (deceleration) during a strong rally is a critical pre-reversal warning, indicating momentum is fading even as price may be pushing higher.
Analytical Edge: The engine specifically hunts for exhaustion patterns where momentum is clearly decelerating as price reaches an extreme state. This is the mechanical signature of a weakening trend.
3. Pillar Three: Market Entropy Analysis - The Dynamics of Order & Chaos
This is RPD's chaos filter, a concept borrowed from information theory. Entropy measures the degree of randomness or disorder in the market's price action.
Formulaic Concept: The calculateEntropy function analyzes recent price changes. A market moving directionally and smoothly has low entropy (high order). A market chopping back and forth without direction has high entropy (high chaos). The value is normalized between 0 and 1.
Analytical Edge: The most reliable trades occur in low-entropy, ordered environments. RPD uses the Entropy Threshold to disqualify signals that attempt to form in chaotic, unpredictable conditions, providing a powerful shield against whipsaw markets.
4. Pillar Four: The Synthesis Engine & Probability Calculation
This is where all the dynamic forces converge. The final probability score is a weighted calculation that heavily rewards confluence.
Formulaic Concept: The calculateProbability function intelligently assembles the final score:
A Base Score is established from trend strength and entropy.
An Entropy Score adds points for low entropy (order) and subtracts for high entropy (chaos).
A significant Divergence Bonus is awarded for a classic momentum divergence.
RSI & Volume Bonuses are added if momentum oscillators are in extreme territory or a volume spike confirms institutional interest.
MTF & Adaptive Bonuses add further weight for alignment with higher timeframe structure.
Analytical Edge: A signal backed by multiple dynamic forces (e.g., extreme state + decelerating momentum + low entropy + volume spike) will receive an exponentially higher probability score. This is the very essence of analyzing reversal point dynamics.
The Command Center: Mastering the Inputs
Every input is a precise lever of control, allowing you to fine-tune the RPD engine to your exact trading style, market, and timeframe.
🧠 Core Algorithm
Predictive Mode (Early Detection):
What It Is: Enables the engine to search for potential reversals on the current, unclosed bar.
How It Works: Analyzes intra-bar acceleration and state to identify developing exhaustion. These signals are marked with a ' ? ' and are tentative.
How To Use It: Enable for scalping or very aggressive day trading to get the earliest possible indication. Disable for swing trading or a more conservative approach that waits for full bar confirmation.
Live Signal Mode (Current Bar):
What It Is: A highly aggressive mode that plots tentative signals with a ' ! ' on the live bar based on projected price and momentum. These signals repaint intra-bar.
How It Works: Uses a linear regression projection of the close to anticipate a reversal.
How To Use It: For advanced users who use intra-bar dynamics for execution and understand the nature of repainting signals.
Adaptive Analysis Period:
What It Is: The main lookback period for the QSA, PSR, and Entropy calculations. This is the engine's "memory."
How It Works: A shorter period makes the engine highly sensitive to local price swings. A longer period makes it focus only on major, significant market structure.
How To Use It: Scalping (1-5m): 15-25. Day Trading (15m-1H): 25-40. Swing Trading (4H+): 40-60.
Fractal Strength (Bars):
What It Is: Defines the strength of the pivot detection used for confirming reversal events.
How It Works: A value of '2' requires a candle's high/low to be more extreme than the two bars to its left and right.
How To Use It: '2' is a robust standard. Increase to '3' for an even stricter definition of a structural pivot, which will result in fewer signals.
MTF Multiplier:
What It Is: Integrates pivot data from a higher timeframe for confluence.
How It Works: A multiplier of '4' on a 15-minute chart will pull pivot data from the 1-hour chart (15 * 4 = 60m).
How To Use It: Set to a multiple that corresponds to your preferred higher timeframe for contextual analysis.
🎯 Signal Settings
Min Probability %:
What It Is: Your master quality filter. A signal is only plotted if its score exceeds this threshold.
How It Works: Directly filters the output of the final probability calculation.
How To Use It: High-Quality (80-95): For A+ setups only. Balanced (65-75): For day trading. Aggressive (50-60): For scalping.
Min Signal Distance (Bars):
What It Is: A noise filter that prevents signals from clustering in choppy conditions.
How It Works: Enforces a "cooldown" period of N bars after a signal.
How To Use It: Increase in ranging markets to focus on major swings. Decrease on lower timeframes.
Entropy Threshold:
What It Is: Your "chaos shield." Sets the maximum allowable market randomness for a signal.
How It Works: If calculated entropy is above this value, the signal is invalidated.
How To Use It: Lower values (0.1-0.5): Extremely strict. Higher values (0.7-1.0): More lenient. 0.85 is a good balance.
Adaptive Entropy & Aggressive Mode:
What It Is: Toggles for dynamically adjusting the engine's core parameters.
How It Works: Adaptive Entropy can slightly lower the required probability in strong trends. Aggressive Mode uses more lenient settings across the board.
How To Use It: Keep Adaptive on. Use Aggressive Mode sparingly, primarily for scalping highly volatile assets.
📊 State Analysis
Analysis Levels:
What It Is: The number of discrete "states" for the QSA.
How It Works: More levels create a finer-grained analysis of price location.
How To Use It: 6-7 levels are ideal. Increasing to 9 can provide more precision on very volatile assets.
Edge Sensitivity:
What It Is: Defines how close to the absolute top/bottom of the range price must be.
How It Works: '0' means price must be in the absolute highest/lowest state. '3' allows a signal within the top/bottom 3 states.
How To Use It: '3' provides a good balance. Lower it to '1' or '0' if you only want to trade extreme exhaustion.
The Dashboard: Your Dynamics Control Center
The dashboard provides a transparent, real-time view into the engine's brain. Use it to understand the context behind every signal and to gauge the current market environment at a glance.
🎯 UNIFIED PROB SCORE
TOTAL SCORE: The highest probability score (either Peak or Valley) the engine is currently calculating. This is your main at-a-glance conviction metric. The "Singularity" header refers to the event where market dynamics align—the event RPD is built to detect.
Quality: A human-readable interpretation of the Total Score. "EXCEPTIONAL" (🌟) is a rare, A+ confluence event. "STRONG" (💪) is a high-quality, tradable setup.
📊 ORDER FLOW & COMPONENT ANALYSIS
Volume Spike: Shows if the current volume is significantly higher than average (YES/NO). A 'YES' adds major confirmation.
Peak/Valley Conf: This breaks down the probability score into its directional components, showing you the separate confidence levels for a potential top (Peak) versus a bottom (Valley).
🌌 MARKET STRUCTURE
HTF Trend: Shows the direction of the underlying trend based on a Supertrend calculation.
Entropy: The current market chaos reading. "🔥 LOW" is an ideal, ordered state for trading. "😴 HIGH" is a warning of choppy, unpredictable conditions.
🔮 FIB & R2R ZONE (Large Dashboard)
This section gives you the status of the Fibonacci Target Engine. It shows if an Active Channel (entry zone) or Stop Zone (invalidation zone) is active and displays the precise price levels for the static entry, target, and stop calculated at the time of the signal.
🛡️ FILTERS & PREDICTIVES (Large Dashboard)
This panel provides a status check on all the bonus filters. It shows the current RSI Status, whether a Divergence is present, and if a Live Pending signal is forming.
The Visual Interface: A Symphony of Data
Every visual element is designed for instant, intuitive interpretation of market dynamics.
Signal Markers: These are the primary outputs of the engine.
▼/▲ b: A fully confirmed signal that has passed all filters.
? b: A tentative signal generated in Predictive Mode, indicating developing dynamics.
◈ b: This diamond icon replaces the standard triangle when the signal is confirmed by a strong momentum divergence, highlighting it as a superior setup where dynamics are misaligned with price.
Harmonic Wave: The flowing, colored wave around the price.
What It Represents: The market's "flow dynamic" and volatility.
How to Interpret It: Expanding waves show increasing volatility. The color is tied to the "Quantum Color" in your theme, representing the underlying energy field of the market.
Entropy Particles: The small dots appearing above/below price.
What They Represent: A direct visualization of the "order dynamic."
How to Interpret Them: Their presence signifies a low-entropy, ordered state ideal for trading. Their color indicates the direction of momentum (PSR velocity). Their absence means the market is too chaotic (high entropy).
The Fibonacci Target Engine: The dynamic R2R system appearing post-signal.
Static Fib Levels: Colored horizontal lines representing the market's "structural dynamic."
The Green "Active Channel" Box: Your zone of consideration. An area to manage a potential entry.
Development Philosophy
Reversal Point Dynamics was engineered to answer a fundamental question: can we objectively measure the forces behind a market turn? It is a synthesis of concepts from market microstructure, statistics, and information theory. The objective was never to create a "perfect" system, but to build a robust decision-support tool that provides a measurable, statistical edge by focusing on the principle of confluence.
By demanding that multiple, independent market dynamics align simultaneously, RPD filters out the vast majority of market noise. It is designed for the trader who thinks in terms of probability and risk management, not in terms of certainties. It is a tool to help you discount the obvious and bet on the unexpected alignment of market forces.
"Markets are constantly in a state of uncertainty and flux and money is made by discounting the obvious and betting on the unexpected."
— George Soros
Trade with insight. Trade with anticipation.
— Dskyz, for DAFE Trading Systems
🔍 Candle Scanner (75m/D/W/M) + Volume + EMA + Trend//@version=5
indicator("🔍 Candle Scanner (75m/D/W/M) + Volume + EMA + Trend", overlay=true)
is75min = timeframe.period == "75"
// Time Slot Logic for 75-min only
startTime = timestamp("Asia/Kolkata", year, month, dayofmonth, 9, 15)
candle75 = math.floor((time - startTime) / (75 * 60 * 1000)) + 1
candleNo = is75min and candle75 >= 1 and candle75 <= 5 ? candle75 : na
getTimeSlot(n) =>
slot = ""
if n == 1
slot := "09:15–10:30"
else if n == 2
slot := "10:30–11:45"
else if n == 3
slot := "11:45–13:00"
else if n == 4
slot := "13:00–14:15"
else if n == 5
slot := "14:15–15:30"
slot
// EMA Filters
ema20 = ta.ema(close, 20)
ema50 = ta.ema(close, 50)
aboveEMA20 = close > ema20
aboveEMA50 = close > ema50
// Volume Strength
avgVol = ta.sma(volume, 20)
volStrength = volume > avgVol ? "High Volume" : "Low Volume"
// Candle Body Strength
bodySize = math.abs(close - open)
fullSize = high - low
bodyStrength = fullSize > 0 ? (bodySize / fullSize > 0.6 ? "Strong Body" : "Small Body") : "Small Body"
// Prior Trend
priorTrend = close < close and close < close ? "Downtrend" :
close > close and close > close ? "Uptrend" : "Sideways"
// Patterns
bullishEngulfing = close > open and close < open and close > open and open < close
bearishEngulfing = close < open and close > open and close < open and open > close
hammer = (high - low) > 3 * bodySize and (close - low) / (0.001 + high - low) > 0.6 and (open - low) / (0.001 + high - low) > 0.6
shootingStar = (high - low) > 3 * bodySize and (high - close) / (0.001 + high - low) > 0.6 and (high - open) / (0.001 + high - low) > 0.6
doji = bodySize <= fullSize * 0.1
morningStar = close < open and bodySize < (high - low ) * 0.3 and close > (open + close ) / 2
eveningStar = close > open and bodySize < (high - low ) * 0.3 and close < (open + close ) / 2
// Pattern Selection
pattern = ""
sentiment = ""
colorBox = color.gray
yOffset = 15
if bullishEngulfing
pattern := "Bull Engulfing"
sentiment := "Bullish"
colorBox := color.green
yOffset := -15
else if bearishEngulfing
pattern := "Bear Engulfing"
sentiment := "Bearish"
colorBox := color.red
yOffset := 15
else if hammer
pattern := "Hammer"
sentiment := "Bullish"
colorBox := color.green
yOffset := -15
else if shootingStar
pattern := "Shooting Star"
sentiment := "Bearish"
colorBox := color.red
yOffset := 15
else if doji
pattern := "Doji"
sentiment := "Neutral"
colorBox := color.gray
yOffset := 15
else if morningStar
pattern := "Morning Star"
sentiment := "Bullish"
colorBox := color.green
yOffset := -15
else if eveningStar
pattern := "Evening Star"
sentiment := "Bearish"
colorBox := color.red
yOffset := 15
timeSlot = is75min and not na(candleNo) ? getTimeSlot(candleNo) : ""
info = pattern != "" ? "🕒 " + (is75min ? timeSlot + " | " : "") + pattern + " (" + sentiment + ") | " + volStrength + " | " + bodyStrength + " | Trend: " + priorTrend + " | EMA20: " + (aboveEMA20 ? "Above" : "Below") + " | EMA50: " + (aboveEMA50 ? "Above" : "Below") : ""
// Label Draw
var label lb = na
if info != ""
lb := label.new(bar_index, high + yOffset, text=info, style=label.style_label_down, textcolor=color.white, size=size.small, color=colorBox)
label.delete(lb )
// Smart Alert
validAlert = pattern != "" and (volStrength == "High Volume") and bodyStrength == "Strong Body" and (aboveEMA20 or aboveEMA50)
alertcondition(validAlert, title="📢 Smart Candle Alert", message="Smart Alert: Candle with Volume + EMA + Trend + Pattern Filtered")
Adaptive Trend Cloud + Smart Reversal Zones [@darshakssc]This indicator combines a volatility-adjusted trend cloud with RSI- and volume-based reversal signals to help traders visually spot potential trend continuation or reversal zones.
It’s designed to look clean, colorful, and informative — great for both beginners and experienced traders looking for chart clarity and actionable insights.
🔍 How It Works
🔵 1. Trend Cloud
1. The cloud is created using a 34-period EMA as the base and adjusted with a 14-period ATR multiplier.
2. When price is above the EMA, the cloud turns green (bullish).
3. When price is below the EMA, it turns red (bearish).
4. A neutral gray tone shows when price is inside the cloud, signaling potential indecision.
🔁 2. Smart Reversal Signal Logic
1. Signals appear only when price enters the cloud zone, indicating a potential change in direction.
2. To confirm the reversal, the following conditions must also be met:
3. RSI is below 40 (for bullish reversals) or above 60 (for bearish reversals)
4. A volume spike occurs (1.8× the 20-bar volume average)
5. A cooldown of 10 bars between signals prevents overplotting
🎯 3. TP & SL Labels
1. When a valid buy or sell signal appears:
🎯 TP (Take Profit) is placed at 2× ATR distance
🛑 SL (Stop Loss) is placed at 1× ATR distance
These levels are shown via chart labels for visual reference
🛎️ 4. Alerts
1. Built-in alerts trigger on:
🟢 Buy reversal signals
🔴 Sell reversal signals
✅ How to Use
1. Apply the indicator to any chart (works best on 5min–4h timeframes)
2. Look for the 🟢 Buy / 🔴 Sell labels when price touches the cloud
3. Use the visual TP/SL markers as reference zones — not financial advice
4. Combine with your own risk management, price action or confluence tools
⚙️ Customization Options
1. EMA & ATR lengths and multipliers
2. RSI and volume thresholds
3. Signal cooldown to reduce noise
4. Toggle TP/SL zones on or off
⚠️ Disclaimer
This script is for educational purposes only and does not constitute financial advice. Always test on demo accounts and combine with your own trading system.
Multi-Timeframe SMTSummery
The Multi-Timeframe SMT indicator is designed to identify and visualize Higher Timeframe (HTF) data on a Lower Timeframe (LTF) chart, allowing traders to see the broader market context without changing their current chart's resolution. It accurately draws pivots and SMT divergences from higher timeframes on the corresponding candles of your current lower timeframe chart.
Its core features include:
Multi-Timeframe Analysis: Configure and monitor pivots on up to four independent timeframes, from intraday to monthly.
Customizable Pivot Detection: Define the strength of pivots by adjusting the number of bars to the left and right.
SMT Divergence: Automatically identifies bullish and bearish SMT divergences by comparing the price action of the main chart symbol with a chosen correlated asset.
Early SMT Detection: A unique feature that monitors a lower "detection timeframe" to provide early warnings of potential SMT setups before they're confirmed on the main timeframe. Note that this early detection is only shown on timeframes equal to or lower than the "Detection timeframe" you have set.
Visual Cues & Alerts: Clear on-chart labels, lines, and fully customizable alerts notify you of confirmed pivots and SMT divergences, ensuring you don't miss key opportunities.
Important Nuance Regarding Pivot Label Display
Due to a self-imposed limit within this script's drawing management logic, the indicator might quickly reach its drawing capacity if you enable pivot crosses for multiple timeframes simultaneously. When this internal drawing limit is exceeded, the script is designed to automatically remove the oldest drawings to make space for new ones.
Therefore, to ensure optimal performance and visibility of the most recent and relevant pivots, it's highly recommended to only enable the "Show Pivot Crosses" option for one timeframe at a time. If you wish to view pivots for a different timeframe, simply disable the pivot crosses for the currently active timeframe and then enable them for your desired one. This approach prevents the rapid cycling and disappearance of pivot labels, providing a clearer and more stable visual experience.
In-Depth Explanation of the Logic
This script is built on two primary concepts: pivot points and Smart Money Technique (SMT) divergence. It systematically collects historical data on multiple timeframes, identifies pivots, and then compares them between two assets to find divergences.
Pivot Point Identification
A pivot is a turning point in the market. A pivot high is a candle that has a higher high than the candles to its immediate left and right. Conversely, a pivot low is a candle with a lower low than its neighbors.
How it Works in the Script:
The script tracks the highest high and lowest low for each period of the selected timeframe (e.g., for each 4-hour candle). When a new high-timeframe candle closes, it stores that high/low value and its bar index in an array. The checkForPivot() function then checks if a recently stored high or low qualifies as a pivot.
Key Inputs:
Left Strength (leftBars1): The number of candles to the left that must have a lower high (for a pivot high) or higher low (for a pivot low).
Right Strength (rightBars1): The number of candles to the right that must meet the same criteria.
For example, with Left Strength and Right Strength both set to 3, a pivot high is only confirmed when its high is greater than the highs of the 3 previous high-timeframe candles and the 3 subsequent high-timeframe candles. Increasing these values will identify more significant, longer-term pivots.
Smart Money Technique (SMT) Divergence
SMT Divergence is a concept popularized by The Inner Circle Trader (ICT). It occurs when two closely correlated assets fail to move in sync. For instance, if Asset A makes a higher high but Asset B fails to do so and instead makes a lower high, this creates a bearish SMT divergence. It suggests that the "smart money" may not be supporting the move in Asset A, signaling a potential reversal.
Bearish SMT: Main asset makes a higher high, while the correlated asset makes a lower high. This is a potential sell signal.
Bullish SMT: Main asset makes a lower low, while the correlated asset makes a higher low. This is a potential buy signal.
How it Works in the Script:
Data Request: For each timeframe, the script uses the request.security() function to fetch the high and low data for both the main chart symbol (syminfo.tickerid) and the chosen Comparison Asset.
Pivot Comparison: When a new pivot is confirmed on the main asset, the script checks if a corresponding pivot also formed on the comparison asset at the same time.
Divergence Check: It then compares the direction of the pivots. For a bearish SMT, it checks if the main asset's new pivot high is higher than its previous pivot high, while the comparison asset's new pivot high is lower than its previous one. The logic is reversed for bullish SMT.
Visualization: If a divergence is found, the script draws a red (bearish) or green (bullish) line connecting the two pivots on your chart and places an "SMT" label.
Early SMT Detection
This is a proactive feature designed to give you a heads-up. Waiting for a 4-hour or daily pivot to form can take a long time. The early detection system looks for SMT divergences on a much smaller, user-defined Detection timeframe (e.g., 15-minute).
How it Works in the Script:
Awaiting Setup: After a primary pivot (Pivot A) is formed on the main timeframe (e.g., a Daily pivot high), the script begins monitoring.
Intraday Monitoring: It then watches the Detection timeframe (e.g., 15-minute) for smaller intraday pivots.
Potential Divergence: It looks for an intraday pivot that forms a divergence against the primary Pivot A.
Watchline & Alert: When this "potential" divergence occurs, the script draws a dashed white line and triggers a "Potential SMT" alert. This isn't a confirmed SMT on the main timeframe yet, but it's a powerful early warning that one may be forming.
Drawing & Object Management
To keep the chart clean and prevent performance issues, the script manages its drawings (lines and labels) efficiently. It stores them in arrays and uses a drawing limit to automatically delete the oldest drawings as new ones are created, ensuring your TradingView remains responsive.
How to Use the Indicator
Configuration
Enable Timeframes: Use the checkboxes (Enable Timeframe 1, Enable Timeframe 2, etc.) to activate the timeframes you want to monitor. It's often best to start with one or two to keep the chart clean.
Select Timeframes: Choose the higher timeframes you want to analyze (e.g., 240 for 4-hour, D for Daily, W for Weekly).
Set Pivot Strength: The default of 3 for Left/Right strength is a good starting point. Increase it to find more significant market structure points or decrease it for more frequent, shorter-term pivots.
Configure SMT:
Check Enable SMT for the timeframes where you want to detect divergence.
Enter a Comparison Asset . This is crucial. Ensure the assets are correlated.
To use the early warning system, check Enable early SMT detection and select an appropriate Detection timeframe (e.g., 15 or 60 minutes for a Daily analysis).
AO Divergence StrategyQuick strategy tester to set up and find the best indicator values
Recommended values:
AO Fast EMA/SMA Length: 5
AO Slow EMA/SMA Length: 25
Use EMA instead of SMA for AO: ❌ (unchecked)
Right Lookback Pivot: 24
Left Lookback Pivot: 18
Maximum Lookback Range: 60
Minimum Lookback Range: 5
Bullish Trace: ✅
Hidden Bullish Trace: ❌
Bearish Trace: ✅
Hidden Bearish Trace: ❌
Status Line Input: ✅
Do your own testing and research, don't just rely on the posting chart that differs from the recommended settings.
🧠 Aggressive RSI + EMA Strategy with TP/SL⚙️ How It Works
RSI-Based Entries:
Buys when RSI is below 40 (oversold) and trend is up (fast EMA > slow EMA).
Sells when RSI is above 60 (overbought) and trend is down (fast EMA < slow EMA).
Trend Filter:
Uses two EMAs (short/long) to filter signals and avoid trading against momentum.
Risk Management:
Default Take Profit: +1%
Default Stop Loss: -0.5%
This creates a 2:1 reward-to-risk setup.
📊 Backtest Settings
Initial Capital: $10,000
Order Size: 10% of equity per trade (adjustable)
Commission: 0.04% per trade (Binance spot-style)
Slippage: 2 ticks
Tested on: BTC/USDT – 15min timeframe (suitable for high-frequency scalping)
Trade Sample: (Adjust this based on your actual results.)
🔔 Features
Built-in alerts for buy/sell signals
Visual chart plots for entry/exit, RSI, EMAs
Customizable inputs for RSI thresholds, TP/SL %, EMA lengths
💡 Why It’s Unique
Unlike many RSI systems that trade blindly at 70/30 levels, this strategy adds a trend filter to boost signal quality.
The tight TP/SL configuration is tailored for scalpers and intraday momentum traders who prefer quick, consistent trades over long holds.