💰 Akıllı Para Akışı v7 – Full Detay + Güç Kutusu + Etiketler✅ Everything Included:
✔ Money Flow
✔ RSI (Relative Strength Index)
✔ Momentum Filter
✔ Price Change Analysis
✔ Smart Money Zone Detection
✔ Strength Score (0–100)
✔ Dual Power Box (Inflow/Outflow Strength)
✔ Full-Detail BUY/SELL Labels
✔ Alert System (BUY & SELL)
✔ Optimized for Bottom Panel Display
Forecasting
TTS Calculator Forex calculator - Input account size, risk size and stop loss size, to get your lot size.
Monthly, Weekly Open + Daily Pivot (Broken Lines, fixed)monthly open line weekly open and daily pivot
This TradingView indicator plots three key reference levels on your chart:
Monthly Open Line – shows the current month’s opening price.
Weekly Open Line – shows the current week’s opening price.
Daily Pivot Line – shows the pivot level based on the previous day’s high, low, and close.
Each line resets at the start of its new period (month, week, or day), so the lines are broken, not continuous.
You can fully customize visibility, color, and thickness for each line.
It helps traders quickly see market bias and important support/resistance levels for better intraday or swing trading decisions.
Squeeze Momentum Early In and Out CandlesJohn Carter presented some candles called "Early In and Out Candles". Although I couldn't imitate the exact candles and warnings I create better indications and bars in my opinion.
When the Candles are above Donchian MA then we have a bullish Momentum.
When the Candles are bellow Donchian MA then we have bearish momentum.
This indicator works best to get an WARNING to enter and close EARLY positions.
Bullish:
When the candles are Light Blue then we have early warning to enter.
When the candles are Dark Blue then we have early warning to close the position.
Bearish:
When the candles are Red then we have early warning to enter.
When the candles are Yellow then we have early warning to close the position.
IMPORTANT NOTES:
Always combine it with the Squeeze Pro indicator.
Suggested Donchian MA: 5 (You can adjust it).
Don't let candles only to be your closing indication once again there are EARLY WARNINGS therefore can move your stop loses to maximize your profits when you are exiting.
I tested my self and I found that is the best strategy when we get Dark Blue candle in the Bullish move I move my stop loss little bit bellow the candle.
Therefore here we go we have early warnings for In and Out.
Thank you and Good Luck.
Average Dollar Volume by Mashrab
Standard Mode: By default, it shows a 20-period SMA of the Dollar Volume. This is great for swing trading to see if money flow is increasing over days.
Day Trading Mode: Go to the indicator settings (User Input) and check "Reset Average Daily".
The line will now represent the Cumulative Average for today only.
Example: If it's 10:00 AM, the line shows the average dollar volume per bar since the market opened at 9:30 AM. This helps you spot if the current 5-minute bar is truly igniting compared to the rest of the morning.
How to Use for Day Trading
Add the script to your 1-minute chart.
Ensure "Reset Average Daily" is checked in the settings (I made it default to true for you).
Look at the Table in the top right:
Avg Dollar Vol: This tells you the average money flowing into the stock per minute today.
1% Threshold: This gives you the exact number your friend likely uses to gauge "minimum viable liquidity" or specific risk calculations.
XenoSmooth Predictive Candles - Advanced Heikin Ashi CandlesXenoSmooth Predictive Candles
Summary in one paragraph
A synthetic candle engine for crypto, FX, equities, and futures on intraday to swing timeframes. It reduces noise and flip delay so structure is easier to read. The core novelty is a predictive open with inertia plus slope lead fused with a zero lag body filter and an overshoot based wick model normalized by the real range and capped by ATR. Add it to a clean chart, hide regular candles if desired, and tune lengths. Shapes can move while the bar is open and settle on close. For conservative workflows read on bar close.
Scope and intent
• Markets. Major FX pairs, index futures, large cap equities, liquid crypto
• Timeframes. One minute to daily
• Purpose. Faster and smoother visual structure than Heikin Ashi while keeping causality and realistic wicks
Originality and usefulness
• Unique concept. Predictive open with inertia and slope lead plus selectable zero lag body filter and ATR capped wick overshoot in percent of real range
• Failure mode addressed. Late flips in chop and unreal long wicks from raw extremes
• Testability. Every control is an input. Users can toggle body method, lengths, clipping, and percent modeling
• Portable yardstick. ATR based wick cap and percent of bar range scale across symbols
Method overview in plain language
Build a robust base price from O, H, L, and extra weight on Close. Smooth it with a chosen filter to produce the synthetic close. Drive a predictive open that follows the synthetic close with tunable inertia and a small lead from the last bar slope. Model wicks as the portion of the real extremes that extends beyond the synthetic body, smooth that overshoot, normalize by the bar range if selected, then cap by ATR to avoid tail spikes. Clamp synthetic values to the real high and low if enabled.
Base measures
• Range basis. True Range for the ATR cap and High minus Low for percent normalization
• Return basis. Not used
Components
• Body Base Blend. Weighted O H L with a close bias to stabilize the base
• Zero Lag Body Filter. ZLEMA or Super Smoother or WMA to set the synthetic close
• Predictive Open. Inertial follow of the synthetic close plus a slope lead term
• Wick Overshoot Model. Smoothed extension beyond the body, optional percent of real range, ATR cap
• Clamp Option. Keeps synthetic open and close inside the real bar range
Fusion rule
• Synthetic close equals filtered base
• Synthetic open equals previous open plus inertia times distance to synthetic close plus slope lead
• Wicks equal smoothed overshoot above and below the body, optionally percent of range then converted back to price and capped by ATR
Inputs with guidance
Setup
• Signal timeframe. Uses the chart timeframe
• Invert direction. Not applicable
• Session windows. Not applicable
Logic
• Body length. Core smoothing length for the synthetic close. Typical 6 to 14. Higher gives smoother and slower. Lower gives faster flips
• Body method. ZLEMA or Super Smoother or WMA. ZLEMA is fastest. Super Smoother is calmest
• Close weight in base. 0 to 1. Higher gives stronger emphasis on close and less noise
• Open inertia. 0 to 1. Higher makes the open follow the close more tightly
• Lead gain. 0 to 1. Higher adds more phase lead. Keep modest to avoid overshoot
• Clamp body to real range. On keeps synthetic body inside high and low
• Wick smooth length. Typical 4 to 10. Higher reduces jitter
• Overshoot as percent. On stabilizes wicks across regimes
• ATR length. Typical 10 to 20 for the cap
• Max wick equals ATR times. 0 disables. 1.0 to 2.0 contains extreme tails
Filters
• Efficiency or trend filter. Not used
• Micro versus macro range relation. Not used
• Location filter. Not used
Realism and responsible publication
• No performance claims
• Intrabar motion reminder. Shapes can move while a bar forms and settle on close
• Strategies must use standard candles for signals and orders
Honest limitations and failure modes
• High impact releases and thin liquidity can distort wicks and produce gaps that any smoother cannot predict
• Very quiet regimes can reduce contrast. Consider longer body length
• Session time on the chart controls the definition of each bar
RSI Multi-Timeframe HeatmapThe RSI Multi-Timeframe Heatmap displays the Relative Strength Index (RSI) across multiple timeframes in a single, easy-to-read visual grid.
It allows traders to instantly assess RSI conditions (overbought, oversold, neutral) across short-, medium-, and long-term perspectives — all at once.
Each column represents a different timeframe, and each cell is color-coded based on the RSI value.
The active cell in each column shows the current RSI for that timeframe, with both the numerical value and a background color that corresponds to RSI intensity.
Features
Displays RSI values for multiple timeframes simultaneously.
Includes the following timeframes:
5m, 15m, 30m, 45m, 1h, 2h, 3h, 4h, 6h, 8h, 12h, 23h, 1d, 1w, and the current chart timeframe.
Color-coded RSI heatmap with intuitive gradient from cold (oversold) to hot (overbought).
Uses closing prices for RSI calculation.
Table layout updates in real-time on every bar.
Highly visual and ideal for multi-timeframe momentum analysis.
Each timeframe has 3 values - current, 7 bars ago and 14 bars ago.
RSI Multi-Timeframe HeatmapThe RSI Multi-Timeframe Heatmap displays the Relative Strength Index (RSI) across multiple timeframes in a single, easy-to-read visual grid.
It allows traders to instantly assess RSI conditions (overbought, oversold, neutral) across short-, medium-, and long-term perspectives — all at once.
Each column represents a different timeframe, and each cell is color-coded based on the RSI value.
The active cell in each column shows the current RSI for that timeframe, with both the numerical value and a background color that corresponds to RSI intensity.
Features
Displays RSI values for multiple timeframes simultaneously.
Includes the following timeframes:
5m, 15m, 30m, 45m, 1h, 2h, 3h, 4h, 6h, 8h, 12h, 23h, 1d, 1w, and the current chart timeframe.
Color-coded RSI heatmap with intuitive gradient from cold (oversold) to hot (overbought).
Uses closing prices for RSI calculation.
Table layout updates in real-time on every bar.
Highly visual and ideal for multi-timeframe momentum analysis.
Each timeframe has 3 values - current, 7 bars ago and 14 bars ago.
Major exchages total Open interest & Long/Short OI trends📊 Indicator: Major Exchanges Total OI & Long/Short Trends
This Pine Script™ indicator is designed to provide a comprehensive analysis of Open Interest (OI) and Long/Short position trends across major cryptocurrency exchanges (Binance, Bybit, OKX, Bitget, HTX, Deribit). It serves as a powerful tool for traders seeking to understand market liquidity, participant positioning, and overall market sentiment.
🔑 Key Features and Functionalities
Aggregated Multi-Exchange Open Interest (OI):
Consolidates real-time Open Interest data from user-selected major cryptocurrency exchanges.
Provides a unified view of the total OI, offering insights into the collective market liquidity and the aggregate size of participants' open positions.
Visualized Combined OI Candles:
Presents the aggregated total OI data in a candlestick chart format.
Displays the Open, High, Low, and Close of the combined OI, with color variations indicating increases or decreases from the previous period. This enables intuitive visualization of OI trend shifts.
Estimated Long/Short OI and Visualization:
Calculates and visualizes estimated Long and Short position Open Interest based on the total aggregated OI data.
Estimation Logic:
Employs a sophisticated logic that considers both price changes and OI fluctuations to infer the balance between Long and Short positions. For instance, an increase in both price and OI may suggest an accumulation of Long positions, while a price decrease coupled with an OI increase might indicate growing Short positions.
Initial 50:50 Ratio:
The estimation for Long/Short OI begins with an assumption of a 50:50 ratio at the initial data point available for the selected timeframe. This establishes a neutral baseline, from which subsequent price and OI changes drive the divergence and evolution of the estimated Long/Short balance.
Flexible Visualization Options:
Allows users to display Long/Short OI data in either line or candlestick styles, with customizable color schemes. This flexibility aids in clearly discerning bullish or bearish positioning trends.
💡 Development Background
The development of this indicator stems from the critical importance of Open Interest data in the cryptocurrency derivatives market. Recognizing the limitations of analyzing individual exchange OI in isolation, the primary objective was to integrate data from leading exchanges to offer a holistic perspective on market sentiment and overall positioning dynamics.
The inclusion of the Long/Short position estimation feature is crucial for deciphering the specific directional biases of market participants, which is often not evident from raw OI data alone. This enables a deeper understanding of how positions are being accumulated or liquidated, moving beyond simple OI change analysis.
Furthermore, a key design consideration was to leverage the characteristic where the indicator's data start point dynamically adjusts with the chart's timeframe selection. This allows for the analysis of short-term Long/Short trends on shorter timeframes and long-term trends on longer timeframes. This inherent flexibility empowers traders to conduct analyses across various time scales, aligning with their diverse trading strategies.
🚀 Trading Applications
Leveraging Combined Open Interest (OI):
Trend Confirmation: A sustained increase in total OI signifies growing market interest and capital inflow, potentially confirming the strength of an existing trend. Conversely, decreasing OI may suggest diminishing participant interest or widespread position liquidation.
Validation of Price Extremes: If price forms a new high but OI fails to increase or declines, it could signal a potential trend reversal (divergence). Conversely, a sharp increase in OI during a price decline might indicate a surge in short positions or renewed selling pressure.
Identifying Volatility Triggers: Monitoring rapid shifts in OI during significant news events or market catalysts can help assess immediate market reactions and liquidity changes.
📈Utilizing Long/Short OI Trends
Assessing Market Bias: A sustained dominance or rapid increase in Long OI suggests a prevalent bullish sentiment, which could inform decisions to enter or maintain long positions. The inverse scenario indicates bearish sentiment and potential short entry opportunities.
Anticipating Squeezes: The indicator can help identify scenarios conducive to short or long squeezes. Excessive short positioning followed by a price uptick can trigger a short squeeze, leading to rapid price appreciation. Conversely, an oversupply of long positions preceding a price drop can result in a long squeeze and sharp declines.
Divergence Analysis: Divergences between price action and Long/Short OI estimates can signal potential trend reversals. For example, if price is rising but the increase in Long OI slows down or Short OI begins to grow, it may suggest weakening buying pressure.
🕔Timeframe-Specific Trend Analysis:
Shorter Timeframes (e.g., 1m, 5m, 15m): Ideal for identifying short-term shifts in participant positioning, beneficial for day trading and scalping strategies. Provides insights into immediate market reactions to price movements.
Longer Timeframes (e.g., 1h, 4h, Daily): Valuable for evaluating broader positioning trends and the sustainability or potential reversal of medium-to-long-term trends. Offers a macro perspective on Long/Short dynamics, suitable for swing trading or long-term investment strategies.
This indicator integrates complex market data, provides nuanced Long/Short position estimations, and offers multi-timeframe analytical capabilities, empowering traders to make more informed and strategic decisions.
Vicky IndicatorMomentum indicator used for day trading only. Focus on the line. If it crosses below midline then sell options and square off when it crosses midline on the up. Color changes added for better understanding. This is more refined than other indicators and gives better entry and exits
Final Scalping Strategy - RELAXED ENTRY, jangan gopoh braderEMA Scalping System (MTF) Guide (1HR direction, 15 min entry)
Objective
To capture small, consistent profits by entering trades when 15-minute momentum aligns with the 1-hour trend.
Trades are executed only during high-liquidity London and New York sessions to increase the probability of execution and success.
Strategy Setup
Chart Timeframe (Execution): 15-Minute (M15).
Trend Filter (HTF): 1-Hour (H1) chart data is used for the long-term EMA.
Long-Term Trend Filter: 50-Period EMA (based on H1 data).
Short-Term Momentum Signal: 20-Period EMA (based on M15 data).
Risk
Metric: 14-period ATR for dynamic Stop Loss calculation.
✅ Trading Rules🟢
Long (Buy) Entry Conditions
Session: Must be within the London (0800-1700 GMT) or New York (1300-2200 GMT) sessions.
HTF Trend: Current price must be above the 1-Hour EMA 50.
Momentum Signal: Price crosses above the 15-Minute EMA 20.
Confirmation: The bar immediately following the crossover must close above the 15-Minute EMA 20.
Ent
ry: A market order is executed on the close of the confirmation candle.
🔴 Short (Sell) Entry Conditions
Session: Must be within the London (0800-1700 GMT) or New York (1300-2200 GMT) sessions.
HTF Trend: Current price must be below the 1-Hour EMA 50.
Momentum Signal: Price crosses below the 15-Minute EMA 20.
Confirmation: The bar immediately following the crossover must close below the 15-Minute EMA 20.
Entry: A market order is executed on the close of the confirmation candle.
🛑 Trade Management & Exits
Stop Loss (SL): Placed dynamically at 2.0 times the 14-period ATR distance from the entry candle's low (for Buys) or high (for Sells).
Take Profit (TP): Placed dynamically to achieve a 1.5 Risk-Reward Ratio (RR) (TP distance = 1.5 x SL d
istance).
📊 On-Chart Visuals
Detailed Labels: A box appears on the entry bar showing the action, SL/TP prices, Risk/Reward in Pips, and the exact R:R ratio.
Horizontal Lines: Dashed lines display the calculated SL (Red) and TP (Green) levels while the trade is active.
Background: The chart background is shaded to highlight the active London and New York tradi
ng sessions.
Ichimoku_RSI_MACD_CleanIchimoku + RSI + MACD. A combination of three indicators. The important thing is that they have a BUY or SELL alert, so it makes it easy to understand the numbers.
Ichimoku_RSI_MACDIchimoku cloud + RSI + MACD. Combined indicators with signals, indicating whether it is bullish or bearish (BUY or SELL).
Ichimoku_RSI_MACD_CleanIchimoku + RSI + MACD indicator. It combines these three indicators. It tells whether the trend is bullish or bearish. Multi-timeframe.
Supertrend + EMA50 — Signal (no labels) chpolSupertrend + EMA50, best for 15 minutes, Forex, Crypto, XAUUSD.
Earnings Lines Vertical – All Grey This provides a vertical grey line for prior earnings dates and also for any confirmed (not estimated) future earnings date
3D Cube Projection - √3 Diagonal3D Cube Projection - √3 Diagonal
OVERVIEW
This indicator implements Bradley F. Cowan's cube projection methodology from his "Four Dimensional Stock Market Structures & Cycles" work. It visualizes a 3D cube projected onto the 2D price-time chart, using the √3 (square root of 3) body diagonal as the primary analytical tool for identifying market structure and potential cycle termination points.
METHODOLOGY
The cube is constructed by selecting two pivot points (A and E) which form the body diagonal - the longest diagonal running through the cube's interior from one corner to the diagonally opposite corner. According to Cowan's geometric approach:
- Point A = Starting pivot (low or high)
- Point E = Ending pivot (opposite extreme)
- Body Diagonal (A→E) = √3 × cube side length
- Face Diagonal (A→C) = √2 × cube side length
The script calculates the cube dimensions by:
1. Measuring the total price range from A to E
2. Dividing by √3 to determine the cube side length in price
3. Distributing the time component across three equal segments
4. Projecting the 3D structure onto the 2D chart plane
FEATURES
✓ Interactive date selection for points A and E
✓ Automatic UPLEG/DOWNLEG detection
✓ All 8 cube vertices labeled (A-H)
✓ All 6 cube faces with independent color/opacity controls
✓ √3 body diagonal (red line by default)
✓ √2 face diagonal (orange line by default)
✓ Customizable cube lines, fills, and labels
✓ Information table showing key measurements
VISUAL CUSTOMIZATION
- Front & Back faces: Box fills for the two square faces
- Side faces: Left and right vertical faces
- Top & Bottom faces: Horizontal connecting faces
- Each group has independent color and opacity settings
- Label size and transparency fully adjustable
- Cube line styles (solid, dashed, dotted) for depth perception
IMPORTANT LIMITATIONS & DISCLOSURES
This indicator works within the inherent constraints of projecting 3D geometry onto a 2D price-time chart:
⚠️ VISUAL APPROXIMATION: This is a visual projection tool, not a mathematically perfect 3D cube. True 3D geometry cannot be accurately represented on a 2D plane without distortion.
⚠️ TIME DISTRIBUTION: The script divides the time axis into three equal segments (total bars ÷ 3) for practical visualization. This is an approximation that prioritizes visual coherence over strict geometric accuracy.
⚠️ UNIT SCALING: Price and time use different units (dollars vs. bars), making true isometric projection impossible. The cube appears proportional on screen but the dimensions are not directly comparable.
⚠️ 2D CONSTRAINT: We only have X (time) and Y (price) axes available. The Z-axis (depth) is simulated through visual projection techniques (line styles, shading).
INTENDED USE
This tool is designed for traders and analysts who study Bradley Cowan's geometric market analysis methods. It helps visualize:
- Market structure in geometric terms
- Potential support/resistance zones at cube edges
- Cycle timing relationships using √2 and √3 ratios
- Harmonic price-time relationships
The cube projection should be used as one component of a comprehensive analysis approach, combined with other technical tools and fundamental analysis.
MATHEMATICAL FOUNDATION
While the visual representation involves approximations, the core √3 relationship is mathematically sound:
- For any cube, the body diagonal = √3 × side length
- The face diagonal = √2 × side length
- These ratios are preserved in the price dimension calculations
HOW TO USE
1. Select your starting date (Point A) - typically a significant low or high
2. Select your ending date (Point E) - the opposite extreme pivot
3. The indicator automatically constructs the cube geometry
4. Analyze the cube edges, diagonals, and faces for market structure insights
5. Adjust colors and opacity to suit your chart aesthetic
TECHNICAL NOTES
- Works on all timeframes and instruments
- Best viewed on charts with sufficient historical data
- Cube updates in real-time as new bars form
- Range selection is marked with vertical lines and shading
- Calculator table shows Point A, Point E, side length, and bar measurements
ACKNOWLEDGMENT
This indicator is based on the geometric market analysis principles developed by Bradley F. Cowan. Users are encouraged to study Cowan's original works for deeper understanding of the theoretical framework.
DISCLAIMER
This indicator is for educational and analytical purposes only. It does not constitute financial advice. Past performance does not guarantee future results. Always conduct your own research and risk management before making trading decisions.
EPS Estimate Profile [SS]This is the EPS Estimate Profile indicator.
What it does
This indicator
Collects all EPS estimates over the course of a lookback and BINS them (sorts them into 10 equal sized categories).
Analyzes the returns from earnings releases based on the EPS estimate and the reaction.
Calculates the number of bullish vs bearish responses that transpired based on the EPS estimate profile.
Calculates the expected Open to High and Open to Low ATR based on the EPS estimate using regression.
Toggle to actual EPS release to compare once earnings results are released.
How to Use it
This indicator can be used to gain insight into whether an earnings release will be received bullishly or bearishly based on the company's EPS estimate.
The indicator allows you to see all historic estimates and how the market generally responded to those estimates, as well as a breakdown of how many times estimates in those ranges produced a bullish response or a bearish response to earnings.
Examples
Let's look at some examples:
Here is MSFT. MSFT's last EPS estimate was 3.672.
If we consult the table, we can see the average return associated with this estimate range is -4%.
Now let's flip to the Daily timeframe and take a look:
MSFT ended the day red and continued to sell into the coming days.
Let's look at another example:
MCDs. Last earnings estimate was 3.327, putting it at the top of the range with an average positive return of 4%.
Let's look on the daily:
We can see that the earnings had a huge, bullish effect on MCD, despite them coming in below their estimates.
If we toggle the indicator to "Actual" EPS release, to see the profile of Actual earnings releases vs response, we get this:
Since MCD under-performed, they were still at the top of the profile; but, we can see that the expected returns are more muted now, though still positive. And indeed, the reaction was still positive.
Distinguishing % Bullish/Bearish to Avg Returns
You will see the profile table displays both the average returns and the percent of bullish/bearish responses. In some cases, you will see that, despite a negative return, the profile reveals more bullish reactions than bearish.
What does this mean?
It means, despite there being more bullish responses, when bearish responses happen they tend to be more severe and profound, vs bullish responses likely are muted.
This can alert you to potential downside risk and help you manage risk accordingly should you elect to trade the earnings release.
ATR Prediction
You will notice in the bottom right corner of the screen a secondary table that lists the predicted open to high ATR and open to low ATR.
This is done using RAW EPS estimates (or raw ACTUAL estimates depending on which you select) and performing a regression to determine the expected ATR.
This is only for reference, the analysis should focus around the historic profile of return estimates and actual return values.
IMPORTANT NOTE: You MUST be on the Monthly timeframe to use this. Otherwise, you will get an error. If, on certain tickers with a huge history, such as MSFT and XOM or OXY, you get an error, you can simply reduce the lookback length to 80 and this will resolve the issue.
Conclusion
And that's the indicator!
A blend of some light math and fundamentals! A real joy honestly.
Hope you enjoy it!
Moving Average ProjectionDisplays 2-5 moving averages (solid lines) and projects their future trajectory (dashed lines) based on current trend momentum. This helps you anticipate where key MAs are heading and identify potential future support/resistance levels.
Important: Projections show where MAs would move IF the current trend continues—they're not predictions. Market conditions change, so use projections as planning tools, not trading signals.
General Settings
Number of MAs (2-5) controls how many moving averages display on your chart. Start with 2-3 to avoid clutter. Projection Bars (1-100) determines how far into the future to project—use 10-20 for intraday charts and 20-40 for daily charts. Lookback for Slope (2-100) sets the number of bars used to calculate trend slope, where shorter lookbacks are more responsive and longer ones are smoother. The default of 20 works well for most situations.
Individual MA Settings (MA 1-5)
Each MA has four settings: Length sets the period for the MA (common values are 9, 20, 50, 100, and 200), Type lets you choose between SMA, EMA, WMA, HMA, VWMA, or RMA (EMA is most popular), Color sets the historical MA line color, and Projection Color sets the projected line color (usually a lighter or transparent version of the main color).
MA Types Quick Reference: EMA is most popular and responsive to recent prices. SMA gives equal weight to all periods and is the smoothest. HMA is very responsive with low lag. VWMA incorporates volume data.
Quick Setup Examples
Day Trading: 3 MAs (9/21/50 EMA), 10-15 projection bars, 10-15 lookback
Swing Trading: 2 MAs (50/200 EMA), 20-30 projection bars, 20 lookback
Scalping: 2 MAs (9/20 EMA), 5-10 projection bars, 5-10 lookback
How to Use
Trend Identification: An uptrend shows price above rising MAs with projections pointing up. A downtrend shows price below falling MAs with projections pointing down. Consolidation appears as flat MAs with horizontal projections.
Support & Resistance: Rising MA projections act as future dynamic support levels, while falling MA projections act as future dynamic resistance levels.
Anticipating Changes: Watch for projected MA crossovers before they happen. When projections converge, expect volatility or consolidation. Steep projections suggest unsustainable trends, so be cautious. Flat projections indicate ranging markets.
Trade Planning: Check the current trend using MA alignment, then look at projections to gauge trend continuation likelihood. Use projected MA levels for potential targets or stop placement.
Important Tips
When Projections Work Best: Projections are most reliable in stable trending markets with consistent momentum, low volatility environments, and away from major news events.
When to Be Cautious: Use caution during high volatility or choppy price action, around major economic releases, when projections show extreme or parabolic angles, and during trend transitions.
Combine With Other Analysis: Don't trade projections alone. Use them alongside price action, volume, support and resistance levels, and other indicators for confirmation.
Best Practices
Start with 2-3 MAs to avoid chart clutter. Match your projection and lookback bars to your trading timeframe. Use consistent color schemes for quick interpretation. Adjust settings as market conditions change. Always use proper risk management—projections are planning tools, not guarantees.
Troubleshooting
Projections not showing: Check that Projection Bars > 0 and you're viewing the most recent bar
Chart too cluttered: Reduce number of MAs or increase projection color transparency
Projections too volatile: Increase lookback bars or switch to EMA/SMA from HMA
Can't see certain MAs: Verify "Number of MAs" setting includes them (MA 3 won't show if set to 2)






















