Fusion Signal ProFusion Signal Pro
Your All-in-One Trading Powerhouse
Say goodbye to cluttered charts and hello to precision trading. Fusion Signal Pro is the ultimate tool for traders who want to simplify their strategy without sacrificing accuracy. By combining the power of RSI, Parabolic SAR, MACD, Stochastic Oscillator, and EMAs, this indicator delivers crystal-clear signals and actionable insights—all in one sleek package.
What’s Under the Hood?
Fusion Signal Pro integrates 5 powerhouse indicators into a single, easy-to-use tool:
Relative Strength Index (RSI)
Spot overbought and oversold conditions like a pro.
Get buy signals when RSI crosses above the oversold zone and sell signals when it drops below overbought.
Parabolic SAR
Track trends and reversals with precision.
Visualized directly on your chart for seamless trend analysis.
MACD (Moving Average Convergence Divergence)
Master momentum and trend strength.
Buy/Sell signals trigger on crossovers between the MACD line and signal line.
Stochastic Oscillator
Gauge momentum and overbought/oversold levels.
Toggle this feature on or off to keep your chart clean and focused.
Exponential Moving Averages (EMAs)
Short and long EMAs for trend confirmation.
Use crossover signals for long-term strategies or trend-following setups.
Why Fusion Signal Pro?
Customizable AF: Tweak every setting to match your trading style—whether you’re a scalper, swing trader, or long-term investor.
Clean & Focused: Enable or disable components to declutter your chart and focus on what matters.
Flexible Display: Plot RSI, MACD, and Stochastic in a separate pane or keep them off the chart entirely.
Pro-Level Precision: Designed to work seamlessly with Heikin-Ashi candles for smoother trends and sharper signals.
Pro Tips for Maximum Gains
Pair with Heikin-Ashi: For next-level trend clarity, use Fusion Signal Pro with Heikin-Ashi candles. They smooth out price action, making it easier to spot reversals and ride trends.
Adjust for Timeframes: Shorter settings for scalping, longer settings for swing trading.
Tweak for Volatility: Fine-tune overbought/oversold levels and EMA lengths to match market conditions.
Key Settings Explained
RSI Settings
Length: Shorter = more sensitive; Longer = smoother.
Overbought/Oversold Levels: Lower thresholds = earlier signals (but more noise).
Parabolic SAR Settings
Start, Increment, Maximum: Control sensitivity. Smaller values = less reactive; larger values = more responsive to trends.
MACD Settings
Fast/Slow Lengths: Shorter = faster signals (scalping); Longer = smoother signals (swing trading).
Signal Length: Higher values = less noise but delayed signals.
Stochastic Settings
K & D Lengths: Shorter = faster signals; Longer = smoother signals.
Overbought/Oversold Levels: Adjust for volatile markets.
EMA Settings
Short/Long Lengths: Short EMAs = quick reactions; Long EMAs = trend confirmation.
Disclaimer
Fusion Signal Pro is a powerful tool, but it’s not a crystal ball. Always combine it with solid risk management, additional analysis, and your trading instincts. Trade smart, stay sharp, and let Fusion Signal Pro guide your way.
Educational
Indicators Table[Robinson0707]
I try to make a table for simple indicator. I hope you lile it. For now I just add classic, fibonacci and wodie pivont point. And ı use Exponanctal moving avera. If you want you can open it as a plot. Also I ad Benjamin GRAHAM's valuation formula
Average Daily Range (ADR)This indicator just shows a simple text box with average daily range (in ticks) for the past 20, 40, and 60 days. It also includes the range of the current day, and the % of the different ADR values. Other indicators all plotted lines or had sub-charts and I just wanted a simple text box with the values. Hence, this indicator.
Parabolic SAR CustomПараболик со значением 0.02;0,02;0,02 когда цена пересекает с верху вниз покупай, когда когда пересекает с низу вверх продавай
Strategia Bollinger-Fibonacci-SMALa strategia che abbiamo sviluppato combina diversi indicatori tecnici per identificare potenziali opportunità di trading. Essa si basa su:
Bande di Bollinger: Misurano la volatilità del mercato e forniscono segnali di sovracomprato e sottovenduto.
Ritracciamenti di Fibonacci: Identificano potenziali livelli di supporto e resistenza basati su rapporti matematici.
Medie Mobili: Misurano la tendenza del mercato a breve e lungo termine.
La strategia entra a mercato quando si verificano determinate condizioni relative a questi indicatori, come ad esempio quando il prezzo attraversa la banda inferiore di Bollinger e si trova vicino a un livello di ritracciamento di Fibonacci.
Analisi Dettagliata degli Elementi
Bande di Bollinger:
Funzione: Misurano la volatilità del mercato e forniscono un'indicazione visiva dei livelli di sovracomprato e sottovenduto.
Interpretazione: Quando il prezzo si trova al di fuori delle bande, potrebbe essere un segnale di una condizione di mercato estrema.
Nella nostra strategia: Le bande di Bollinger vengono utilizzate per identificare potenziali punti di ingresso e uscita dal mercato.
Ritracciamenti di Fibonacci:
Funzione: Identificano potenziali livelli di supporto e resistenza basati su rapporti matematici derivati dalla sequenza di Fibonacci.
Interpretazione: I livelli di Fibonacci rappresentano i punti in cui il prezzo potrebbe invertire la sua direzione.
Nella nostra strategia: I livelli di Fibonacci vengono utilizzati in combinazione con le Bande di Bollinger per confermare i segnali di ingresso.
Medie Mobili:
Funzione: Misurano la tendenza del mercato a breve e lungo termine.
Interpretazione: Un incrocio tra due medie mobili può indicare un cambio di tendenza.
Nella nostra strategia: Le medie mobili vengono utilizzate come filtro aggiuntivo per confermare i segnali generati dalle Bande di Bollinger e dai livelli di Fibonacci.
Condizioni di Ingresso:
La strategia entra a lungo quando:
Il prezzo attraversa la banda inferiore di Bollinger in direzione ascendente.
Il prezzo si trova al di sotto del livello di ritracciamento di Fibonacci specificato.
La media mobile a breve termine è superiore alla media mobile a lungo termine.
La strategia entra a corto quando si verificano le condizioni opposte.
Stop-Loss e Take Profit:
Per gestire il rischio, la strategia utilizza stop-loss e take-profit dinamici, calcolati in base al prezzo di entrata e a una percentuale predefinita.
Vantaggi e Svantaggi
Vantaggi:
Multipla conferma: La strategia si basa su più indicatori, fornendo una conferma più robusta dei segnali di trading.
Flessibilità: I parametri della strategia possono essere personalizzati per adattarsi a diversi stili di trading e mercati.
Gestione del rischio: L'utilizzo di stop-loss e take-profit aiuta a limitare le perdite e a proteggere i profitti.
Svantaggi:
Nessuna strategia è infallibile: Anche la migliore strategia può generare perdite.
Requisiti di monitoraggio: La strategia richiede un monitoraggio costante per garantire che i parametri siano ancora validi e per reagire ai cambiamenti del mercato.
Complessità: La combinazione di più indicatori può rendere la strategia più difficile da comprendere e implementare.
Conclusioni
Questa strategia rappresenta un tentativo di combinare diversi strumenti tecnici per identificare potenziali opportunità di trading. Tuttavia, è importante sottolineare che il trading comporta sempre un rischio e che nessuna strategia può garantire profitti. È fondamentale testare accuratamente la strategia su dati storici e adattarla al proprio stile di trading personale.
NG pattern detector - UdayThis pattern detects mostly used candle patterns
bullish engulfing bearish engulfing hammer inverted hammer dragonfly doji and gravestone doji.
also make sure to add alert
Consistency Rule CalculatorThis script, titled "Consistency Rule Calculator" is designed for use on the TradingView platform. It allows traders to input specific values related to their account, daily highest profit, and a consistency rule (as a decimal).
The script then calculates the "Amount Needed to Withdraw" based on the user's input. This value is calculated using the formula:
Amount Needed to Withdraw = (Daily Highest Profit/Consistency Rule )+ Account Type
Each prop firm has its own consistency rule. Follow their rule, and you will be second to payout!
Additionally, it displays the input values and the calculated amount in a customizable table on the chart. The table is formatted with colors for clarity, and it provides a motivational quote about successful trading. Plus, user can adjust the table's position on the screen.
Year-over-Year % Change for PCEPILFEHello, traders!
This indicator is specifically for FRED:PCEPILFE , which is a 'Personal Consumption Expenditures (PCE) Index excluding food and energy.'
What this indicator does is compare the monthly data to that of the same month last year to see how it has changed over the year. This comparison method is widely known as YoY(Year-over-Year).
While I made this indicator to use for FRED:PCEPILFE , you may use it for different charts as long as they show monthly data.
FRED:PCEPILFE is one of the main measures of inflation the Federal Reserve uses.
You can see the YoY % change of the PCE Index excluding food and energy in the official website for the Bureau of Labor Statistics, but unfortunately, I couldn't find one in TradingView.
So instead, I decided to make my own indicator showing the changes using FRED:PCEPILFE .
The code is very simple: it compares the data to the data 12 points ago because 12 points would mean 12 months in this chart. We then multiply the result by 100 for percentage.
Doing so, we compare the current month to the same month of the previous year.
Because I am only interested in the YoY % Change of the index, I pulled the indicator all the way up, covering the original chart data entirely. (Or you could achieve the same by simply moving your indicator to the pane above. But this way, the original chart data is also visible.)
I hope this indicator helps you with your analysis. Feel free to ask questions if have any!
God bless!
Compare Symbol [LuxmiAI]This indicator allows users to plot candles or bars for a selected symbol and add a moving average of their choice as an underlay. Users can customize the moving average type and length, making it versatile for a wide range of trading strategies.
This script is designed to offer flexibility, letting traders select the symbol, timeframe, candle style, and moving average type directly from the input options. The moving averages include the Exponential Moving Average (EMA), Simple Moving Average (SMA), Weighted Moving Average (WMA), and Volume-Weighted Moving Average (VWMA).
Features of the Script
This indicator provides the following key features:
1. Symbol Selection: Users can input the ticker symbol for which they want to plot the data.
2. Timeframe Selection: The script allows users to choose a timeframe for the symbol data.
3. Candle Styles: Users can select from three styles - regular candles, bars, or Heikin-Ashi candles.
4. Moving Average Options: Users can choose between EMA, SMA, WMA, and VWMA for added trend analysis.
5. Customizable Moving Average Length: The length of the moving average can be adjusted to suit individual trading strategies.
How the Script Works
The script starts by taking user inputs for the symbol and timeframe. It then retrieves the open, high, low, and close prices of the selected symbol and timeframe using the request.security function. Users can select between three candle styles: standard candles, bars, and Heikin-Ashi candles. If Heikin-Ashi candles are selected, the script calculates the Heikin-Ashi open, high, low, and close values.
To add further analysis capabilities, the script includes a moving average. Traders can select the moving average type from EMA, SMA, WMA, or VWMA and specify the desired length. The selected moving average is then plotted on the chart to provide a clear visualization of the trend.
Step-by-Step Implementation
1. Input Options: The script starts by taking inputs for the symbol, timeframe, candle style, moving average type, and length.
2. Data Retrieval: The script fetches OHLC data for the selected symbol and timeframe using request.security.
3. Candle Style Logic: It determines which candle style to plot based on the user’s selection. If Heikin-Ashi is selected, the script calculates Heikin-Ashi values.
4. Moving Average Calculation: Depending on the user’s choice, the script calculates the selected moving average.
5. Visualization: The script plots the candles or bars and overlays the moving average on the chart.
Benefits of Using This Indicator
This custom indicator provides multiple benefits for traders. It allows for quick comparisons between symbols and timeframes, helping traders identify trends and patterns. The flexibility to choose different candle styles and moving averages enhances its adaptability to various trading strategies. Additionally, the ability to customize the moving average length makes it suitable for both short-term and long-term analysis.
Trading Tool Beta v1.0This indicator show possibleentry and exit for swing trader with support and resistance.
added support and resistance and trend line by other pine coder.
Session Bar/Candle ColoringChange the color of candles within a user-defined trading session. Borders and wicks can be changed as well, not just the body color.
PREFACE
This script can be used an educational resource for those who are interested in learning Pine Script. Therefore, the script is published open source and is organized in a manner that follows the recommended Style Guide .
While the main premise of the indicator is rather simple, the script showcases various things that can be achieved such as conditional plotting, alignment of indicator settings, user input validation, script optimization, and more. The script also has examples of taking into consideration the chart timeframe and/or different chart types (Heikin Ashi, Renko, etc.) that a user might be running it on. Note: for complete beginners, I strongly suggest going through the Pine Script User Manual (possibly more than once).
FEATURES
Besides being able to select a specific time window, the indicator also provides additional color settings for changing the background color or changing the colors of neutral/indecisive candles, as shown in the image below.
This allows for a higher level of customization beyond the TradingView chart settings or other similar scripts that are currently available.
HOW TO USE
First, define the intraday trading session that will contain the candles to modify. The session can be limited to specific days of the week.
Next, select the parts of the candles that should be modified: Body, Borders, Wick, and/or Background.
For each of the candle parts that were enabled, you can select the colors that will be used depending on whether a candle is bullish (⇧), bearish (⇩), or neutral (⇆).
All other indicator settings will have a detailed tooltip to describe its usage and/or effect.
LIMITATIONS
The indicator is not intended to function on Daily or higher timeframes due to the intraday nature of session time windows.
The indicator cannot always automatically detect the chart type being used, therefore the user is requested to manually input the chart type via the " Chart Style " setting.
Depending on the available historical data and the selected choice for the " Portion of bar in session " setting, the indicator may not be able to update very old candles on the chart.
EXAMPLE USAGE
This section will show examples of different scenarios that the indicator can be used for.
Emphasizing a main trading session.
Defining a "Pre/post market hours background" like is available for some symbols (e.g., NASDAQ:AAPL ).
Highlighting in which bar the midnight candle occurs.
Hiding indecision bars (neutral candles).
Showing only "Regular Trading Hours" for a chart that does not have the option to toggle ETH/RTH. To achieve this, the actual chart data is hidden, and only the indicator is visible; alternatively, a 2nd instance of the indicator could change colors to match the chart background.
Using a combination of Bars and Japanese Candlesticks. Alternatively, this could be done by hiding the main chart data and using 2 instances of the indicator (one with " Chart Style " setting as Bars , and the other set to Candles ).
Using a combination of thin and thick bars on Range charts. Note: requires disabling the "Thin Bars" setting for Bar charts in the TradingView chart settings.
NOTES
If using more than one instance of this indicator on the same chart, you can use the TradingView "Save Indicator Template" feature to avoid having to re-configure the multiple indicators at a later time.
This indicator is intended to work "out-of-the-box" thanks to the behind_chart option introduced to Pine Script in October 2024. But you can always manually bring the indicator to the front just in case the color changes are not being seen (using the "More" option in the indicator status line: More > Visual Order > Bring to front ).
Many thanks to fikira for their help and inspiring me to create open source scripts.
Any feedback including bug reports or suggestions for improving the indicator (or source code itself) are always welcome in the comments section.
Sweaty Palms MA (50/100/200 + 250)Sweaty Palms Multiple MA (50/100/200 + 250)
A comprehensive moving average indicator combining the most powerful technical levels used by institutional traders. Features crystal-clear visualization of major moving averages with distinct colors and dynamic labels for enhanced clarity.
Features:
• Multiple MA types available (SMA, EMA, WMA, RMA, HMA)
• Four key moving averages: 50, 100, 200, and optional 250
• Institutional-grade color coding:
- Blue (50 MA): Short-term trend
- Orange (100 MA): Intermediate trend
- Purple (200 MA): Long-term trend
- White (250 MA): Extra long-term trend
• Dynamic labels that move with price
• Optional 250 MA toggle for reduced chart clutter
• Customizable MA lengths
Key Applications:
• Major Support/Resistance Levels: These MAs are widely watched by institutional traders
• Bull/Bear Market Definition: Price above/below 200 MA
• Golden/Death Cross: 50 & 200 MA crossovers
• Multiple Timeframe Analysis: Different MAs for different trading horizons
• Trend Strength: Spacing and alignment of MAs indicate trend strength
Settings:
• MA Type: Choose between SMA, EMA, WMA, RMA, HMA
• Customizable lengths for all MAs
• Toggle option for 250 MA
• Clean label display showing MA periods
Note: This indicator combines the most followed moving averages in financial markets. The 50, 100, and 200 MAs are particularly significant as they are watched by large institutions and often create self-fulfilling support/resistance levels.
Created by SweatyPalmsAlgo
Sweaty Palms 9/21 EMASweaty Palms 9/21 EMA
A clean and efficient implementation of the widely-used 9 & 21 EMA combination. This indicator helps traders identify trend direction and potential support/resistance levels with easily distinguishable colors and clear labels.
Features:
• Customizable EMA lengths (default 9/21)
• Clear color coding: Green for faster EMA, Gold for slower EMA
• Dynamic labels that move with price
• Toggle visibility for each EMA
• Clean, uncluttered display
Key Use Cases:
• Trend Direction: When the faster EMA is above the slower EMA, it suggests an uptrend, and vice versa
• Dynamic Support/Resistance: These EMAs often act as support in uptrends and resistance in downtrends
• Momentum: The spacing between EMAs can indicate trend strength
• Trade Signals: Crossovers between EMAs can signal potential entry/exit points
Settings:
• First EMA Length: Default 9 (customizable)
• Second EMA Length: Default 21 (customizable)
• Show/Hide options for each EMA
Note: This indicator is designed for clarity and ease of use, making it suitable for both beginners and experienced traders. The default settings of 9/21 are popular among day traders, but can be adjusted to suit any trading style or timeframe.
Created by SweatyPalmsAlgo
Supertrend Buy-Only Strategy (Real-Time Execution)Using supertrend to buy when close price crosses above supertrend and then exit when close price closes below supertrend. So this is buy only strategy.
TollDateLevels - BalaRtoll date levels - BalaR
written for education purposes to understand these levels
SHUMILKIN Ai//@version=5
indicator('JohnScript', format=format.price, precision=4, overlay=true)
// Inputs
a = input(1, title='Чувствительность')
c = input(10, title='Период ATR')
h = input(false, title='Сигналы Heikin Ashi')
signal_length = input.int(title='Сглаживание', minval=1, maxval=200, defval=11)
sma_signal = input(title='Сигнальная линия (MA)', defval=true)
lin_reg = input(title='Линейная регрессия', defval=false)
linreg_length = input.int(title='Длина линейной регрессии', minval=1, maxval=200, defval=11)
// Линии Болинджера
bollinger = input(false, title='Боллинджер')
bolingerlength = input(20, 'Длина')
// Bollinger Bands
bsrc = input(close, title='Исходные данные')
mult = input.float(2.0, title='Смещение', minval=0.001, maxval=50)
basis = ta.sma(bsrc, bolingerlength)
dev = mult * ta.stdev(bsrc, bolingerlength)
upper = basis + dev
lower = basis - dev
plot(bollinger ? basis : na, color=color.new(color.red, 0), title='Bol Basic')
p1 = plot(bollinger ? upper : na, color=color.new(color.blue, 0), title='Bol Upper')
p2 = plot(bollinger ? lower : na, color=color.new(color.blue, 0), title='Bol Lower')
fill(p1, p2, title='Bol Background', color=color.new(color.blue, 90))
// EMA
len = input(title='Длина EMA', defval=50)
ema1 = ta.ema(close, len)
plot(ema1, color=color.new(color.yellow, 0), linewidth=2, title='EMA')
xATR = ta.atr(c)
nLoss = a * xATR
src = h ? request.security(ticker.heikinashi(syminfo.tickerid), timeframe.period, close, lookahead=barmerge.lookahead_off) : close
xATRTrailingStop = 0.0
iff_1 = src > nz(xATRTrailingStop , 0) ? src - nLoss : src + nLoss
iff_2 = src < nz(xATRTrailingStop , 0) and src < nz(xATRTrailingStop , 0) ? math.min(nz(xATRTrailingStop ), src + nLoss) : iff_1
xATRTrailingStop := src > nz(xATRTrailingStop , 0) and src > nz(xATRTrailingStop , 0) ? math.max(nz(xATRTrailingStop ), src - nLoss) : iff_2
pos = 0
iff_3 = src > nz(xATRTrailingStop , 0) and src < nz(xATRTrailingStop , 0) ? -1 : nz(pos , 0)
pos := src < nz(xATRTrailingStop , 0) and src > nz(xATRTrailingStop , 0) ? 1 : iff_3
xcolor = pos == -1 ? color.red : pos == 1 ? color.green : color.blue
ema = ta.ema(src, 1)
above = ta.crossover(ema, xATRTrailingStop)
below = ta.crossover(xATRTrailingStop, ema)
buy = src > xATRTrailingStop and above
sell = src < xATRTrailingStop and below
barbuy = src > xATRTrailingStop
barsell = src < xATRTrailingStop
plotshape(buy, title='Buy', text='Buy', style=shape.labelup, location=location.belowbar, color=color.new(color.green, 0), textcolor=color.new(color.white, 0), size=size.tiny)
plotshape(sell, title='Sell', text='Sell', style=shape.labeldown, location=location.abovebar, color=color.new(color.red, 0), textcolor=color.new(color.white, 0), size=size.tiny)
barcolor(barbuy ? color.green : na)
barcolor(barsell ? color.red : na)
alertcondition(buy, 'UT Long', 'UT Long')
alertcondition(sell, 'UT Short', 'UT Short')
bopen = lin_reg ? ta.linreg(open, linreg_length, 0) : open
bhigh = lin_reg ? ta.linreg(high, linreg_length, 0) : high
blow = lin_reg ? ta.linreg(low, linreg_length, 0) : low
bclose = lin_reg ? ta.linreg(close, linreg_length, 0) : close
r = bopen < bclose
signal = sma_signal ? ta.sma(bclose, signal_length) : ta.ema(bclose, signal_length)
plotcandle(r ? bopen : na, r ? bhigh : na, r ? blow : na, r ? bclose : na, title='LinReg Candles', color=color.green, wickcolor=color.green, bordercolor=color.green, editable=true)
plotcandle(r ? na : bopen, r ? na : bhigh, r ? na : blow, r ? na : bclose, title='LinReg Candles', color=color.red, wickcolor=color.red, bordercolor=color.red, editable=true)
plot(signal, color=color.new(color.white, 0))
EMA/SMA + Multi-Timeframe Dashboard (Vertical)Let us introduce to you the EMA/SMA Multi-timeframe Dashboard. This Tool has an intuitive interface and is ideal for traders looking to analyze market trends or momentum using Exponential moving average (EMA) or simple moving average (SMA). An investment that will pay off since it combines the 21 EMA, and 200 SMA for several time frames into a simple view ensuring that you never miss important market signals.
Key Features:
multi-time frame dashboard
Monitor 21 EMA, 50 EMA, and 200 SMA in multiple time frames simultaneously.
Set your monitor time frames according to your strategies.
50 EMA based dashboard insights.
21 EMA 200 SMA pivot above or below 50 EMA its other ranges or areas of concern.
Trend and momentum analysis.
Moving together across multiple time frames can help assess the time of reversals and the direction of the trend, which can aid in the assessment of the trend direction.
Customizable Alerts.
Crossover and the price interacting with the moving averages are examples of conditions that can be set alerts for.
Avoid checking charts constantly to ensure you are not missing important signals.
User Friendly Design.
Data is presented in thorough and simple layouts to ensure that it is plainly readable. Additional tools, such as color codes, are employed to aid in increasing comprehension and improving decision-making.
Benefits:
Due to gathering all necessary moving averages in one spot, has a positive impact on efficiency as it saves time.
Provides a comprehensive perspective on trend strength and optimization to make accurate trades.
Swing Traders, Day Traders, and Long-term Investors who want to fine-tune their timing in the market for better results.
Keep up with the EMA / SMA Multi-Timeframe Dashboard and blend accuracy with the insights that you require for all your traders.
MMXM ICT [TradingFinder] Market Maker Model PO3 CHoCH/CSID + FVG🔵 Introduction
The MMXM Smart Money Reversal leverages key metrics such as SMT Divergence, Liquidity Sweep, HTF PD Array, Market Structure Shift (MSS) or (ChoCh), CISD, and Fair Value Gap (FVG) to identify critical turning points in the market. Designed for traders aiming to analyze the behavior of major market participants, this setup pinpoints strategic areas for making informed trading decisions.
The document introduces the MMXM model, a trading strategy that identifies market maker activity to predict price movements. The model operates across five distinct stages: original consolidation, price run, smart money reversal, accumulation/distribution, and completion. This systematic approach allows traders to differentiate between buyside and sellside curves, offering a structured framework for interpreting price action.
Market makers play a pivotal role in facilitating these movements by bridging liquidity gaps. They continuously quote bid (buy) and ask (sell) prices for assets, ensuring smooth trading conditions.
By maintaining liquidity, market makers prevent scenarios where buyers are left without sellers and vice versa, making their activity a cornerstone of the MMXM strategy.
SMT Divergence serves as the first signal of a potential trend reversal, arising from discrepancies between the movements of related assets or indices. This divergence is detected when two or more highly correlated assets or indices move in opposite directions, signaling a likely shift in market trends.
Liquidity Sweep occurs when the market targets liquidity in specific zones through false price movements. This process allows major market participants to execute their orders efficiently by collecting the necessary liquidity to enter or exit positions.
The HTF PD Array refers to premium and discount zones on higher timeframes. These zones highlight price levels where the market is in a premium (ideal for selling) or discount (ideal for buying). These areas are identified based on higher timeframe market behavior and guide traders toward lucrative opportunities.
Market Structure Shift (MSS), also referred to as ChoCh, indicates a change in market structure, often marked by breaking key support or resistance levels. This shift confirms the directional movement of the market, signaling the start of a new trend.
CISD (Change in State of Delivery) reflects a transition in price delivery mechanisms. Typically occurring after MSS, CISD confirms the continuation of price movement in the new direction.
Fair Value Gap (FVG) represents zones where price imbalance exists between buyers and sellers. These gaps often act as price targets for filling, offering traders opportunities for entry or exit.
By combining all these metrics, the Smart Money Reversal provides a comprehensive tool for analyzing market behavior and identifying key trading opportunities. It enables traders to anticipate the actions of major players and align their strategies accordingly.
MMBM :
MMSM :
🔵 How to Use
The Smart Money Reversal operates in two primary states: MMBM (Market Maker Buy Model) and MMSM (Market Maker Sell Model). Each state highlights critical structural changes in market trends, focusing on liquidity behavior and price reactions at key levels to offer precise and effective trading opportunities.
The MMXM model expands on this by identifying five distinct stages of market behavior: original consolidation, price run, smart money reversal, accumulation/distribution, and completion. These stages provide traders with a detailed roadmap for interpreting price action and anticipating market maker activity.
🟣 Market Maker Buy Model
In the MMBM state, the market transitions from a bearish trend to a bullish trend. Initially, SMT Divergence between related assets or indices reveals weaknesses in the bearish trend. Subsequently, a Liquidity Sweep collects liquidity from lower levels through false breakouts.
After this, the price reacts to discount zones identified in the HTF PD Array, where major market participants often execute buy orders. The market confirms the bullish trend with a Market Structure Shift (MSS) and a change in price delivery state (CISD). During this phase, an FVG emerges as a key trading opportunity. Traders can open long positions upon a pullback to this FVG zone, capitalizing on the bullish continuation.
🟣 Market Maker Sell Model
In the MMSM state, the market shifts from a bullish trend to a bearish trend. Here, SMT Divergence highlights weaknesses in the bullish trend. A Liquidity Sweep then gathers liquidity from higher levels.
The price reacts to premium zones identified in the HTF PD Array, where major sellers enter the market and reverse the price direction. A Market Structure Shift (MSS) and a change in delivery state (CISD) confirm the bearish trend. The FVG then acts as a target for the price. Traders can initiate short positions upon a pullback to this FVG zone, profiting from the bearish continuation.
Market makers actively bridge liquidity gaps throughout these stages, quoting continuous bid and ask prices for assets. This ensures that trades are executed seamlessly, even during periods of low market participation, and supports the structured progression of the MMXM model.
The price’s reaction to FVG zones in both states provides traders with opportunities to reduce risk and enhance precision. These pullbacks to FVG zones not only represent optimal entry points but also create avenues for maximizing returns with minimal risk.
🔵 Settings
Higher TimeFrame PD Array : Selects the timeframe for identifying premium/discount arrays on higher timeframes.
PD Array Period : Specifies the number of candles for identifying key swing points.
ATR Coefficient Threshold : Defines the threshold for acceptable volatility based on ATR.
Max Swing Back Method : Choose between analyzing all swings ("All") or a fixed number ("Custom").
Max Swing Back : Sets the maximum number of candles to consider for swing analysis (if "Custom" is selected).
Second Symbol for SMT : Specifies the second asset or index for detecting SMT divergence.
SMT Fractal Periods : Sets the number of candles required to identify SMT fractals.
FVG Validity Period : Defines the validity duration for FVG zones.
MSS Validity Period : Sets the validity duration for MSS zones.
FVG Filter : Activates filtering for FVG zones based on width.
FVG Filter Type : Selects the filtering level from "Very Aggressive" to "Very Defensive."
Mitigation Level FVG : Determines the level within the FVG zone (proximal, 50%, or distal) that price reacts to.
Demand FVG : Enables the display of demand FVG zones.
Supply FVG : Enables the display of supply FVG zones.
Zone Colors : Allows customization of colors for demand and supply FVG zones.
Bottom Line & Label : Enables or disables the SMT divergence line and label from the bottom.
Top Line & Label : Enables or disables the SMT divergence line and label from the top.
Show All HTF Levels : Displays all premium/discount levels on higher timeframes.
High/Low Levels : Activates the display of high/low levels.
Color Options : Customizes the colors for high/low lines and labels.
Show All MSS Levels : Enables display of all MSS zones.
High/Low MSS Levels : Activates the display of high/low MSS levels.
Color Options : Customizes the colors for MSS lines and labels.
🔵 Conclusion
The Smart Money Reversal model represents one of the most advanced tools for technical analysis, enabling traders to identify critical market turning points. By leveraging metrics such as SMT Divergence, Liquidity Sweep, HTF PD Array, MSS, CISD, and FVG, traders can predict future price movements with precision.
The price’s interaction with key zones such as PD Array and FVG, combined with pullbacks to imbalance areas, offers exceptional opportunities with favorable risk-to-reward ratios. This approach empowers traders to analyze the behavior of major market participants and adopt professional strategies for entry and exit.
By employing this analytical framework, traders can reduce errors, make more informed decisions, and capitalize on profitable opportunities. The Smart Money Reversal focuses on liquidity behavior and structural changes, making it an indispensable tool for financial market success.
6 Band Parametric EQThis indicator implements a complete parametric equalizer on any data source using high-pass and low-pass filters, high and low shelving filters, and six fully configurable bell filters. Each filter stage features standard audio DSP controls including frequency, Q factor, and gain where applicable. While parametric EQ is typically used for audio processing, this implementation raises questions about the nature of filtering in technical analysis. Why stop at simple moving averages when you can shape your signal's frequency response with surgical precision? The answer may reveal more about our assumptions than our indicators.
Filter Types and Parameters
High-Pass Filter:
A high-pass filter attenuates frequency components below its cutoff frequency while passing higher frequencies. The Q parameter controls resonance at the cutoff point, with higher values creating more pronounced peaks.
Low-Pass Filter:
The low-pass filter does the opposite - it attenuates frequencies above the cutoff while passing lower frequencies. Like the high-pass, its Q parameter affects the resonance at the cutoff frequency.
High/Low Shelf Filters:
Shelf filters boost or cut all frequencies above (high shelf) or below (low shelf) the target frequency. The slope parameter determines the steepness of the transition around the target frequency , with a value of 1.0 creating a gentle slope and lower values making the transition more abrupt. The gain parameter sets the amount of boost or cut in decibels.
Bell Filters:
Bell (or peaking) filters create a boost or cut centered around a specific frequency. A bell filter's frequency parameter determines the center point of the effect, while Q controls the width of the affected frequency range - higher Q values create a narrower bandwidth. The gain parameter defines the amount of boost or cut in decibels.
All filters run in series, processing the signal in this order: high-pass → low shelf → bell filters → high shelf → low-pass. Each stage can be independently enabled or bypassed.
The frequency parameter for all filters represents the period length of the targeted frequency component. Lower values target higher frequencies and vice versa. All gain values are in decibels, where positive values boost and negative values cut.
The 6-Band Parametric EQ combines these filters into a comprehensive frequency shaping tool. Just as audio engineers use parametric EQs to sculpt sound, this indicator lets you shape market data's frequency components with surgical precision. But beyond its technical implementation, this indicator serves as a thought experiment about the nature of filtering in technical analysis. While traditional indicators often rely on simple moving averages or single-frequency filters, the parametric EQ takes this concept to its logical extreme - offering complete control over the frequency domain of price action. Whether this level of filtering precision is useful for analysis is perhaps less important than what it reveals about our assumptions regarding market data and its frequency components.
Weekly Trading StrategyStrategy Overview:
This trading strategy is designed for short-term trades over weekly intervals, utilizing the combination of Simple Moving Averages (SMA) for trend identification and the Relative Strength Index (RSI) for overbought/oversold conditions. It aims to capitalize on momentum shifts while mitigating the risk of entering a market at extreme points.
Key Components:
Fast SMA (9 periods): Acts as a short-term trend indicator, providing insights into quick price changes.
Slow SMA (21 periods): Represents a longer-term trend, smoothing out price fluctuations to show a more stable trend line.
RSI (14 periods): An oscillator that measures the speed and change of price movements, helping to identify potential reversal points.
Entry Signals:
Buy Signal:
Condition 1: The fast SMA (9 periods) crosses above the slow SMA (21 periods), indicating a potential upward trend shift.
Condition 2: RSI falls below 30, suggesting the asset is potentially oversold and due for a correction upwards.
Sell Signal:
Condition 1: The fast SMA crosses below the slow SMA, signaling a possible downward trend shift.
Condition 2: RSI climbs above 70, indicating the asset might be overbought and could pull back.
Strategy Execution:
Timeframe: This strategy is optimized for a weekly chart (W), where each bar or candle represents one week of trading data.
Alert System: Alerts can be set up for buy and sell signals, allowing traders to react promptly to market conditions without constant chart monitoring.
Risk Management:
This strategy includes inherent risk management by avoiding trades when the market shows extreme conditions via RSI. However, traders should also consider:
Position sizing based on account size and risk tolerance.
Setting stop-loss orders to manage potential losses if the market moves against the position.
Considering additional market analysis or indicators for confirmation before executing trades.
Considerations:
Backtesting: Before live trading, backtest the strategy on historical data to assess performance across different market conditions.
Adaptation: Market dynamics change, so periodic review and adjustment of SMA periods and RSI thresholds might be necessary.
Complementary Analysis: Enhance this strategy with fundamental analysis or other technical indicators for a more robust trading approach.
This strategy is suited for traders looking for weekly swings in the market, balancing between following the trend and spotting potential reversals. However, like all trading strategies, it should not be used in isolation but as part of a broader trading plan.
Candle Spread Oscillator (CS0)The Candle Spread Oscillator (CSO) is a custom technical indicator designed to help traders identify momentum and directional strength in the market by analyzing the relationship between the candle body spread and the total candle range. This oscillator provides traders with a visually intuitive representation of price action dynamics and highlights key transitions between positive and negative momentum.
How It Works:
Body Spread vs. Total Range:
The CSO calculates the body spread (difference between the close and open price) and compares it to the total range (difference between the high and low price) of a candle.
The ratio of the body spread to the total range represents the proportion of price movement driven by directional momentum.
Smoothed Oscillator:
To remove noise and enhance clarity, the ratio is smoothed using a Hull Moving Average (HMA). The smoothing period can be adjusted through the "Smoothing Period" input, enabling traders to tailor the indicator to their preferred timeframes or strategies.
Gradient Visualization:
A gradient coloring is applied to the oscillator, transitioning smoothly between colors (e.g., fuchsia for negative momentum and aqua for positive momentum). This provides traders with a clear, intuitive visual cue of market behavior.
Visual Features:
Oscillator Plot:
The oscillator is displayed as an area-style plot, dynamically colored using a gradient. Positive values are represented in shades of aqua, while negative values are in shades of fuchsia.
Midline (0 Level):
A horizontal midline is plotted at the zero level, serving as a key reference point for identifying transitions between positive and negative momentum.
Background Highlights:
The chart background is subtly colored to match the oscillator's state, enhancing the visual emphasis on current momentum conditions.
Alerts for Key Crossovers:
The CSO comes with built-in alert conditions, making it highly actionable for traders:
Cross Up Alert: Triggers when the oscillator crosses above the midline (0), signaling a potential shift into positive momentum.
Cross Down Alert: Triggers when the oscillator crosses below the midline (0), indicating a potential transition into negative momentum.
These alerts allow traders to stay informed about critical market shifts without constantly monitoring the chart.
How to Use:
Trend Identification:
When the oscillator is above the midline and positive, it indicates that price action is moving with bullish momentum.
When the oscillator is below the midline and negative, it reflects bearish momentum.
Momentum Strength:
The magnitude of the oscillator (its distance from the midline) helps traders gauge the strength of the momentum. Stronger moves will push the oscillator further from zero.
Potential Reversals:
Crossovers of the oscillator through the midline can signal potential reversals or shifts in market direction.
Customization:
Adjust the Smoothing Period to adapt the sensitivity of the oscillator to different timeframes. A lower smoothing period reacts faster to price changes, while a higher smoothing period smooths out noise.
Best Use Cases:
Momentum Trading: Identify periods of sustained bullish or bearish momentum to align with the trend.
Reversal Signals: Spot transitions in market direction when the oscillator crosses the midline.
Confirmation Tool: Use the CSO alongside other indicators (e.g., volume, trendlines, or moving averages) to confirm trading signals.
Key Inputs:
Smoothing Period: Customize the sensitivity of the oscillator by adjusting the lookback period for the Hull Moving Average.
Gradient Range: The color gradient transitions between defined thresholds (-0.1 to 0.2 by default), ensuring a smooth visual experience.
[Why Use the Candle Spread Oscillator?
The CSO is a simple yet powerful tool for traders who want to:
Gain a deeper understanding of price momentum.
Quickly visualize shifts between bullish and bearish trends.
Use clear, actionable signals with customizable alerts.
Disclaimer: This indicator is not a standalone trading strategy. It should be used in combination with other technical and fundamental analysis tools. Always trade responsibly, and consult a financial advisor for personalized advice.