Multi TF Fibonacci Divergence Strategy✅ Buy Trade Conditions
Trend Confirmation:
The 1-hour and 4-hour charts must be above the 200 EMA.
Daily Candle Confirmation:
The previous daily candle must have closed above the body and wick of the candle before it (e.g., Friday's candle must close above Thursday’s for a buy).
Fibonacci Retracement:
On the 15-minute chart, price must:
Retrace past the 50% level of a Fibonacci drawn from recent swing high/low.
Not close beyond the 78.6% level.
Fibonacci Extension Target:
Price must touch either the -27% or -61.8% extension level (based on the same swing).
It must not close beyond the 78.6% retracement level on higher timeframes.
Bullish Divergence:
Bullish RSI divergence on the 15-minute chart, confirmed by structure on the 1-hour chart.
Session Filter:
Trade signals only trigger during the asset's active trading session (user-defined).
❌ Sell Trade Conditions
All the above are mirrored in the opposite direction:
Below 200 EMA on 1H & 4H
Daily candle closes below prior candle’s body and wick
Fibonacci retrace above 50%, no close beyond 78.6%
Target hit at -27% or -61.8%
Bearish RSI divergence
In-session signal
Forecasting
SignalX Market Snapshot Exporter
✅ SignalX Daily Bias + Timing Engine (Reusable Routine)
Inputs:
1-day CSV (5min or 1min timeframe)
Columns: open, high, low, close, volume, HMA10, HMA30, SMA10–200, Up/Down Trend, Engulfing, Doji, Pin Bar
Outputs:
1. 🎯 Directional Bias (Long / Short / Neutral)
Based on:
Price relative to 10/20/50 SMAs
HMA10 > HMA30 (bullish slope), or reverse
Up/Down Trend Flags (majority)
Volume confirmation (trending day vs low-vol chop)
2. 🕒 High-Probability Trade Times
Spots times with:
Volume Spike + Trend alignment
Shape pattern confirmation (engulfing, pin bar)
SMA breakout zones
3. 📊 Trade Setup Template
Direction
Entry time (window)
Suggested SL = recent swing ± buffer
TP = SL × 2 (adjustable)
✅ Why This File Works for Bias + Time Planning
You’ve included:
Price action: OHLC (Open/High/Low/Close)
Trend indicators: Up Trend, Down Trend, HMA10/30, SMA10/20/50/100/200
Volume & spikes
Candlestick patterns: Engulfings, Doji, Pin Bar
Trend flags: Up Trend Flag, Down Trend Flag
This gives me everything needed to:
Determine directional bias for the day (Long / Short / Neutral)
Identify high-probability time zones (based on volume spikes + trend alignment)
Suggest SL/TP-friendly zones based on structure
ATR Normalized⸻
🧠 First, What is ATR?
ATR (Average True Range) is a volatility indicator — it shows how much an asset moves (up or down) on average over a specific number of periods.
• Higher ATR = more volatility
• Lower ATR = less volatility
The classic ATR doesn’t care about direction — just how much the price moves.
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📈 What is ATR Normalized?
Normalized ATR takes the ATR value and scales it to make it easier to compare across different stocks or timeframes.
It gives you a percentage-type value to understand volatility relative to historical average volatility.
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🧮 The Formula (Simplified):
ATR_Normalized = (ATR(13) / SMA(ATR(13), 52)) * 100
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📌 So, What Does (13, 52, 80) Mean?
These are user-defined input parameters for the custom ATR_Normalized indicator:
Parameter Meaning
13 Period for calculating ATR (short-term volatility)
52 Period for calculating the SMA (average ATR over a longer period)
80 Threshold level line (usually used as an alert zone for high volatility)
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🧠 How to Interpret It on the Chart:
• If ATR_Normalized is above 80 (the red line):
• Volatility is unusually high
• Could be a sign of a breakout, news event, or reversal risk
• If ATR_Normalized is below 80:
• Volatility is within a normal range
• Calm markets or consolidation
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💡 Example Use Cases:
1. Identify breakouts or trend starts
• Spikes in normalized ATR often come before large moves.
2. Filter trades based on volatility
• Avoid entering positions when volatility is too high or too low.
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M2 Global Liquidity Index - X Days LeadThis custom indicator overlays the Bitcoin price chart with the Global Liquidity M2 chart, providing a unique perspective on how monetary supply might influence Bitcoin's price movements. The indicator distinguishes between past and future segments of the liquidity data using two distinct colors.
- Past Segment: The portion of the Global Liquidity M2 chart that has already passed is displayed in one color, allowing users to assess historical correlations with Bitcoin's price.
- Future Segment: The upcoming part of the liquidity chart is shown in a different color, offering insights into potential future impacts on Bitcoin's price trajectory.
by walkin
SECTORSSP500 Sector indicator relative to each other. Sectors above 50 buy and less than 50 is sell signal.
XLEVEL RISK ON/OFFThis is a risk on/off indicator .
SHOWS all macro indicators like
VIX,SP500,DXY, US10Y, OIL, GOLD .
If the background color is red its risk off.
If the background color is blue its risk on.
If gray and its mixed.
It helps me a lot with trade decisions.
Bitcoin Global Liquidity OverlayThis overlay shows the relationship between global liquidity and BTC. Future versions will project the data into the future.
FUTURE PREDICTThis script predicts future price movement by looking back on past 1000 bars of price action and predicting future price movement. Use this on 15 minute time frame and Buy/Sell when you see sharp upward, or downward prediction.
BUY AND SELL SIGNALSThis script gives Buy and Sell signals that are 98% accurate. Load the script and see for yourself.
BeSight Mega SpotBeSight Mega Spot – Zone Based Price Grid Indicator
สคริปต์นี้ถูกออกแบบมาเพื่อช่วยเทรดเดอร์มองเห็นโซนราคาสำคัญที่ราคาอาจเกิดปฏิกิริยา โดยอ้างอิงจากระดับราคาที่ลงท้ายด้วย 0 และ 5 (เช่น 1350, 1355, 1360 เป็นต้น) ซึ่งมักเป็นระดับที่มีการตั้งคำสั่งซื้อขายจำนวนมากในตลาด
BeSight Mega Spot – Zone-Based Price Grid Indicator
This indicator is designed to help traders visualize key price zones where the market often reacts, based on price levels ending with 0 or 5 (e.g., 1350, 1355, 1360). These levels are commonly used for pending orders, liquidity, or price clustering zones.
It displays horizontal grid lines at fixed step intervals (default: every 5 points), covering the entire visible price range of the chart. Each price level is labeled for better clarity and planning.
🟦 Blue lines: Price levels ending in 0
⬜ Gray lines: Price levels ending in 5
This tool is useful for identifying potential institutional behavior zones, price consolidation, accumulation/distribution areas, or psychological support/resistance levels.
🧠 Notes:
- This indicator is not a buy/sell signal tool or predictive system.
- It works best when used in conjunction with other technical tools such as Supply/Demand zones or Smart Money Concepts (SMC) analysis.
- Compatible with all instruments: stocks, futures, forex, crypto, etc.
✅ How to use:
1. Add the indicator to your chart
2. Observe how price interacts with the 0/5 grid zones
3. Use the lines to assist with breakout, retest, or reversal planning
4. Combine with price action or other indicators for higher precision
✨ Developed by BeSight – A Community Of Traders
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อินดิเคเตอร์นี้จะแสดงเส้นแนวนอนแบบตาราง (Grid) ที่แบ่งช่วงราคาออกเป็นระยะ ๆ ตามค่าที่ผู้ใช้กำหนด เช่น ทุก ๆ 5 จุด และครอบคลุมช่วงราคาทั้งหมดของกราฟ โดยแสดงเป็นเส้นแบบ dotted พร้อมป้ายราคาเพื่อให้มองเห็นได้ชัดเจน
🟦 เส้นสีน้ำเงิน: แสดงระดับราคาที่ลงท้ายด้วย 0
⬜ เส้นสีเทา: แสดงระดับราคาที่ลงท้ายด้วย 5
เหมาะสำหรับผู้ที่ต้องการดูโซนราคา "หยุดพัก / เก็บของ / เปิดโพซิชัน" ซึ่งอาจสะท้อนพฤติกรรมของผู้เล่นรายใหญ่หรือสถาบันในตลาด
🧠 ข้อควรรู้:
- อินดิเคเตอร์นี้ไม่ได้บอกจุดเข้าเทรดหรือการคาดการณ์ แต่ช่วยในการวางแผนแนวรับ-แนวต้านร่วมกับเครื่องมือวิเคราะห์อื่น ๆ
- รองรับทุกสินทรัพย์ที่มีหน่วยราคาคงที่ (หุ้น, ฟิวเจอร์ส, ฟอเร็กซ์, คริปโต ฯลฯ)
✅ วิธีใช้งาน:
1. เพิ่มอินดิเคเตอร์นี้ลงบนกราฟ
2. ใช้เส้น Grid เป็นแนวประกอบในการดูพฤติกรรมราคา เช่น การหยุดลง, การเบรกแนว, การกลับตัว
3. ผสมผสานกับโซน Demand/Supply หรือโซน SMC เพื่อความแม่นยำ
✨ พัฒนาโดย BeSight – คอมมูนิตี้ของเทรดเดอร์ตัวจริง
H1 Candle Reference + n Pips TargetThis indicator uses the H1 candle at a specified time (default 8:00) to set daily reference levels. It captures the high and low of the 8:00 H1 candle and displays them as blue horizontal lines across all timeframes for the rest of the day. Additionally, it plots two red target lines, set a fixed number of ticks above and below these reference levels.
3SMA +30 Stan Weinstein +200WMA +alert-crossingIndicator Description: Stan Weinstein Strategy + Key Moving Averages
🔹 Introduction
This indicator combines the Classic Stan Weinstein Strategy with a modern update based on the author’s latest recommendations. It includes key moving averages that help identify trends and potential entry or exit points in the market.
📊 Included Moving Averages (Fully Customizable)
All moving averages in this indicator have modifiable parameters, allowing users to adjust values in the input settings.
1️⃣ 30-Week SMA (Stan Weinstein): A long-term trend indicator defining the asset’s main trend.
2️⃣ 40-Week SMA (Weinstein Update): An adjusted version recommended by the author in his recent updates.
3️⃣ 10-Day SMA: Displays short-term price action and helps confirm trend changes.
4️⃣ 100-Day SMA: A medium-term trend measure used by traders to assess trend strength.
5️⃣ 200-Day WMA (Weighted Moving Average): A very long-term indicator that filters market noise and confirms solid trends.
🔍 How to Interpret It
✔️ 30/40-Week SMA in an uptrend → Confirms an accumulation phase or an upward price trend.
✔️ Price above the 200-WMA → Indicates a strong and healthy long-term trend.
✔️ 10-SMA crossing other moving averages → Can signal an early entry or exit opportunity.
✔️ 100-SMA vs. 200-WMA → A breakout of the 100-SMA above the 200-WMA may signal a new bullish phase.
🚨 Built-in Alerts (Key Crossovers)
The indicator includes automatic alerts to notify traders when key moving averages cross, allowing timely reactions:
🔔 10-SMA crossing the 40-SMA → Possible medium-term trend shift.
🔔 10-SMA crossing the 200-WMA → Confirmation of a stronger trend.
🔔 40-SMA crossing the 200-WMA → Long-term trend reversal signal.
💡 Customization: All moving average periods can be adjusted in the input settings, making the indicator flexible for different trading strategies.
Open Vertical Lines [TradeWithRon]This indicator allows traders to draw vertical lines manually or automatically based on the current or specified higher timeframes. It is a versatile tool designed to help users identify and mark significant changes in the market, such as new candle formations, based on a selected or auto-adjusted timeframe.
Open Source
Features:
Timeframe Customization: Users can either manually specify a desired timeframe (e.g., 1-hour, 1-day, etc.) or enable the "Auto" feature, which automatically adjusts the timeframe based on the current chart's timeframe for better alignment with different trading strategies.
Customizable Line Style: The vertical line can be drawn in three different styles: Solid, Dashed, or Dotted, giving users the flexibility to choose their preferred appearance for better chart readability.
Line Color: Users can select the color of the vertical line with transparency options to match their chart's visual preferences.
Auto Timeframe Adjustments: The "Auto Align" option dynamically adjusts the timeframe used for vertical lines depending on the chart's current timeframe. For example, if you’re using a lower timeframe (e.g., 5 minutes), the indicator will automatically switch to a higher timeframe (e.g., 1 hour or daily) to mark vertical lines, ensuring the lines correspond to higher timeframe price action.
Vertical Line Placement:
A vertical line is placed each time a new candle appears on the chart, marking key moments for the user to analyze market movements. This can be helpful for marking the start of new trading sessions or significant events in the market.
How to Use:
1. Apply the indicator to your chart.
2. Configure the preferred timeframe settings (either fixed or auto-align).
3. Customize the line style and color according to your visual preference.
4. The indicator will automatically place vertical lines on the chart when a new candle is formed, based on your selected timeframe.
AltSeasonality - MTFAltSeason is more than a brief macro market cycle — it's a condition. This indicator helps traders identify when altcoins are gaining strength relative to Bitcoin dominance, allowing for more precise entries, exits, and trade selection across any timeframe.
The key for altcoin traders is that the lower the timeframe, the higher the alpha.
By tracking the TOTAL3/BTC.D ratio — a real-time measure of altcoin strength versus Bitcoin — this tool highlights when capital is rotating into or out of altcoins. It works as a bias filter, helping traders avoid low-conviction setups, especially in chop or during BTC-led conditions.
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It works well on the 1D chart to validate swing entries during strong altcoin expansion phases — especially when TOTAL3/BTC.D breaks out while BTCUSD consolidates.
On the 4H or 1D chart, rising TOTAL3/BTC.D + a breakout on your altcoin = high-conviction setup. If BTC is leading, fade the move or reduce size. Consider pairing with the Accumulation - Distribution Candles, optimized for the 1D (not shown).
🔍 Where this indicator really excels, however, is on the 1H and 15M charts, where short-term traders need fast bias confirmation before committing to a move. Designed for scalpers, intraday momentum traders, and tactical swing setups.
Use this indicator to confirm whether an altcoin breakout is supported by broad market flow — or likely to fail due to hidden BTC dominance pressure.
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🧠 How it works:
- TOTAL3 = market cap of altcoins (excl. BTC + ETH)
- BTC.D = Bitcoin dominance as % of total market cap
- TOTAL3 / BTC.D = a normalized measure of altcoin capital strength vs Bitcoin
- BTCUSD = trend baseline and comparison anchor
The indicator compares these forces side-by-side, using a normalized dual-line ribbon. There is intentionally no "smoothing".
When TOTAL3/BTC.D is leading, the ribbon shifts to an “altseason active” phase. When BTCUSD regains control, the ribbon flips back into BTC dominance — signaling defensive posture.
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💡 Strategy Example:
On the 1H chart, a crossover into altseason → check the 15M chart for confirmation. Consider adding the SUPeR TReND 2.718 for confirmation (not shown). If both align, you have trend + flow confluence. If BTCUSD is leading or ribbon is mixed, reduce exposure or wait for confirmation. Further confirmation via Volume breakouts in your specific coin.
⚙️ Features:
• MTF source selection (D, 1H, 15M)
• Normalized ribbon (TOTAL3/BTC.D vs BTCUSD)
• Cross-aware fill shading
• Custom color and transparency controls
• Optional crossover markers
• Midline + zone guides (0.2 / 0.5 / 0.8)
Cz ASR indicatorAverage session range indicator built by me. Great tool to gauge volatility and intraday reversal zones. Great for FX as there is an included table that shows range in pips; however, this can be applied across all assets as a volatility measure.
How it works:
The script measures the range of sessions, including Asia, London, and New York. The lookback period could be adjusted so you can find what length works best and is most accurate. This is then averaged out to provide the ASR. This provides us with an upper and lower bound of which the price could potentially fluctuate in based on the past session ranges. I have also added the 50% ASR, which is also a super useful metric for reversals or continuations.
There is also a configurable UTC so that you can adjust the indicator so it can accurately measure the range within certain sessions.
Note - different session start and stop times vary from market to market. I have set the code to the standard forex market opens however, if you wish to change the time ,you are able to do so by editing the variables in the script
Enjoy :)
Vertical Line at Specified HoursThis script helps you easily separate time.
This indicator can be used for many different purposes. For example, I use it to separate different days and sessions.
Features :
1- Ability to use 10 vertical lines simultaneously
2- The Possibility to change the color of lines
3- The Possibility to change the line type
Tip : The times you enter in the input section must be in the New York time zone.
ATR - Asymmetric Turbulence Ribbon🧭 Asymmetric Turbulence Ribbon (ATR)
The Asymmetric Turbulence Ribbon (ATR) is an enhanced and reimagined version of the standard Average True Range (ATR) indicator. It visualizes not just raw volatility, but the structure, momentum, and efficiency of volatility through a multi-layered visual approach.
It contains two distinct visual systems:
1. A zero-centered histogram that expresses how current volatility compares to its historical average, with intensity and color showing speed and conviction
2. A braided ribbon made of dual ATR-based moving averages that highlight transitions in volatility behavior—whether volatility is expanding or contracting
The name reflects its purpose: to capture asymmetric, evolving turbulence in market behavior, through structure-aware volatility tracking.
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🔧 Inputs (Fibonacci defaults)
ATR Length
Lookback period for ATR calculation (default: 13)
ATR Base Avg. Length
Moving average period used as the zero baseline for histogram (default: 55)
ATR ROC Lookback
Number of bars to measure rate of change for histogram color mapping (default: 8)
Timeframe Override
Optionally calculate ATR values from a higher or fixed timeframe (e.g., 1D) for macro-volatility overlay
Show Ribbon Fill
Toggles colored fill between ATR EMA and HMA lines
Show ATR MAs
Toggles visibility of ATR EMA and HMA lines
Show Crossover Markers
Shows directional triangle markers where ATR EMA and HMA cross
Show Histogram
Toggles the entire histogram display
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📊 Histogram Component: Volatility Energy Profile
The histogram shows how far the current ATR is from its moving average baseline, centered around zero. This lets you interpret volatility pressure—whether it's expanding, contracting, or preparing to reverse.
To complement this, the indicator also plots the raw ATR line in aqua. This is the actual average true range value—used internally in both the histogram and ribbon calculations. By default, it appears as a slightly thicker line, providing a clear reference point for comparing historical volatility trends and absolute levels.
Use the baseline ATR to:
- Compare real-time volatility to previous peaks or troughs
- Monitor how ATR behaves near histogram flips or ribbon crossovers
- Evaluate volatility phases in absolute terms alongside relative momentum
The ATR line is particularly helpful for users who want to keep tabs on raw volatility values while still benefiting from the enhanced visual storytelling of the histogram and ribbon systems.
Each histogram bar is colored based on the rate of change (ROC) in ATR: The faster ATR rises or falls, the more intense the color. Meanwhile, the opacity of each bar is adjusted by the effort/result ratio of the price candle (body vs. range), showing how much price movement was achieved with conviction.
Color Interpretation:
🔴 Red
Strong volatility expansion
Market entering or deepening into a volatility burst
Seen during breakouts, panic moves, or macro shock events
Often accompanied by large real candle bodies
🟠 Orange
Moderate volatility expansion
Heating up phase, often precedes breakouts
Common in strong trending environments
Signals tightening before acceleration
🟡 Yellow
Mild volatility increase
Transitional state—energy building, not yet exploding
Appears in early trend development or pullbacks
🟢 Green
Mild volatility contraction
ATR cooling off
Seen during consolidation, reversion, or range balance
Good time to assess upcoming directional setups
🔵 Aqua
Moderate compression
Volatility is clearly declining
Signals consolidation within larger structure
Pre-breakout zones often form here
🔵 Deep Blue
Strong volatility compression
Market is coiling or dormant
Can signal upcoming squeeze or fade environment
Often followed by sharp expansion
Opacity scaling:
Brighter bars = efficient, directional price action (strong bodies)
Faded bars = indecision, chop, absorption, or wick-heavy structure
Together, color and opacity give a 2D view of market volatility: Hue = the type and direction of volatility
Opacity = the quality and structure behind it
Use this to gauge whether volatility is rising with conviction, fading into neutrality, or compressing toward breakout potential.
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🪡 Ribbon Component: Volatility Rhythm Structure
The ribbon overlays two moving averages of ATR:
EMA (yellow) – faster, more reactive
HMA (orange) – smoother, more rhythmic
Their relationship creates the ribbon logic:
Yellow fill (EMA > HMA)
Short-term volatility is increasing faster than the longer-term rhythm
Signals active expansion and engagement
Orange fill (HMA > EMA)
Volatility is decaying or leveling off
Suggests possible exhaustion, pullback, or range
Crossover triangle markers (optional, off by default to avoid clutter) identify the moment of shift in volatility phase.
The ribbon reflects the shape of volatility over time—ideal for mapping cyclical energy shifts, transitional states, and alignment between current and average volatility.
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📐 Strategy Application
Use the Asymmetric Turbulence Ribbon to:
- Detect volatility expansions before breakouts or directional runs
- Spot compression zones that precede structural ruptures
- Visually separate efficient moves from noisy market activity
- Confirm or fade trade setups based on underlying energy state
- Track the volatility environment across multiple timeframes using the override
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🎯 Ideal Timeframes
Designed to function across all timeframes, but particularly powerful on intraday to daily ranges (1H to 1D)
Use the timeframe override to anchor your chart in higher-timeframe volatility context, like daily ATR behavior influencing a 1H setup.
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🧬 Customization Tips
- Increase ATR ROC Lookback for smoother color transitions
- Extend ATR Base Avg Length for more macro-driven histogram centering
- Disable the histogram for ribbon-only rhythm view
- Use opacity and color shifts in the histogram to detect stealth energy builds
- Align ATR phases with structure or order flow tools for high-quality setups
ATR and Moving AverageUsing ATR and Moving Average: A Technical Analysis Strategy
The Average True Range (ATR) and the Moving Average are two important technical analysis tools that can be used together to identify trading opportunities in the market. In this article, we will explore how to use these two tools and how the crossover between them can indicate changes in the market.
What is ATR?
The Average True Range (ATR) is a measure of the volatility of an asset, which calculates the average true range of an asset over a period of time. The true range is the difference between the closing price and the opening price of an asset, or the difference between the closing price and the highest or lowest price of the day. ATR is an important measure of volatility, as it helps to identify the magnitude of price fluctuations of an asset.
What is Moving Average?
The Moving Average is a technical analysis tool that calculates the average price of an asset over a period of time. The Moving Average can be used to identify trends and price patterns, and is an important tool for traders. There are different types of Moving Averages, including the Simple Moving Average (SMA), the Exponential Moving Average (EMA), and the Weighted Moving Average (WMA).
Crossover between ATR and Moving Average
The crossover between ATR and Moving Average can be an important indicator of changes in the market. When ATR crosses above the Moving Average, it may indicate that the volatility of the asset is increasing and that the price may be about to rise. This occurs because ATR is increasing, which means that the true range of the asset is increasing, and the Moving Average is being surpassed, which means that the price is rising.
On the other hand, when ATR crosses below the Moving Average, it may indicate that the volatility of the asset is decreasing and that the price may be about to fall. This occurs because ATR is decreasing, which means that the true range of the asset is decreasing, and the Moving Average is being surpassed, which means that the price is falling.
Trading Strategies
There are several trading strategies that can be used with the crossover between ATR and Moving Average. Some of these strategies include:
Buying when ATR crosses above the Moving Average, with the expectation that the price will rise.
Selling when ATR crosses below the Moving Average, with the expectation that the price will fall.
Using the crossover between ATR and Moving Average as a filter for other trading strategies, such as trend analysis or pattern recognition.
In summary, the crossover between ATR and Moving Average can be an important indicator of changes in the market, and can be used as a technical analysis tool to identify trading opportunities. However, it is important to remember that no trading strategy is foolproof, and that it is always important to use a disciplined approach and manage risk adequately.
EURUSD Swing High/Low ProjectionBikini Bottom custom projection tool. Aimed to project tops and bottoms. Don't use unless you understand how it works :)
Professional MSTI+ Trading Indicator"Professional MSTI+ Trading Indicator" is a comprehensive technical analysis tool that combines over 20 indicators to generate high-quality trading signals and assess market sentiment. The script integrates standard indicators (MACD, RSI, Bollinger Bands, Stochastic, Simple Moving Averages, and Volume Analysis) with advanced components (Squeeze Momentum, Fisher Transform, True Strength Index, Heikin-Ashi, Laguerre RSI, Hull MA) and further includes metrics such as ADX, Chaikin Money Flow, Williams %R, VWAP, and EMA for in-depth market analysis.
Key Features:
Multiple Presets for Different Trading Styles:
Choose from optimal configurations like Professional, Swing Trading, Day Trading, Scalping, or Reversal Hunter. Note that the presets may not work perfectly on all pairs, and manual calibration might be required. This flexibility allows you to fine-tune the settings to align with your unique strategies and signals.
Multi-Layered Signal Filtering:
Filters based on trend, volume, and volatility help eliminate false signals, enhancing the accuracy of market entries.
Comprehensive Fear & Greed Index:
The indicator aggregates data from RSI, volatility, momentum, trend, and volume to gauge overall market sentiment, providing an additional layer of market context.
Dynamic Information Panel:
Displays detailed status updates for each component (e.g., MACD, RSI, Laguerre RSI, TSI, Fisher Transform, Squeeze, Hull MA, etc.) along with a visual strength bar that represents the intensity of the trading signal.
Signal Generation:
Buy and sell signals are generated when a predefined number of conditions are met and confirmed over multiple bars. These signals are clearly displayed on the chart with arrows, making it easier to spot potential entry and exit points.
Alert Setup:
Built-in alert conditions allow you to receive real-time notifications when trading signals are generated, helping you stay on top of market movements.
"Professional MSTI+ Trading Indicator" is designed to enhance your trading strategy by providing a multi-faceted market analysis and an intuitive visual interface. While the presets offer a robust starting point, they may require manual calibration on certain pairs, giving you the flexibility to configure your own unique strategies and signals.
Eclipse Dates IndicatorThis TradingView indicator displays vertical lines on eclipse dates from 1980 to 2030, with comprehensive filtering options for different types of eclipses.
Features
Date Range: Covers 221 eclipse events from 1980 to 2030
Eclipse Types: Filter by Solar and/or Lunar eclipses
Eclipse Subtypes: Filter by Total, Partial, Annular, Penumbral, and Hybrid eclipses
Year Range Selection: Focus on specific decades (1980-1990, 1990-2000, etc.)
Visual Customization: Separate styling for Solar and Lunar eclipses
Line Appearance: Customize color, style, and width
Label Options: Show/hide labels with customizable appearance
Eclipse Types
Show Solar Eclipses: Toggle visibility of Solar eclipses
Show Lunar Eclipses: Toggle visibility of Lunar eclipses
Eclipse Subtypes
Show Total Eclipses: Toggle visibility of Total eclipses
Show Partial Eclipses: Toggle visibility of Partial eclipses
Show Annular Eclipses: Toggle visibility of Annular eclipses
Show Penumbral Eclipses: Toggle visibility of Penumbral eclipses
Show Hybrid Eclipses: Toggle visibility of Hybrid eclipses
Visual Settings
Solar/Lunar Eclipse Line Color: Set the color for eclipse lines
Solar/Lunar Eclipse Line Style: Choose between solid, dashed, or dotted lines
Solar/Lunar Eclipse Line Width: Set the width of eclipse lines
Solar/Lunar Label Text Color: Set the color for label text
Solar/Lunar Label Background Color: Set the background color for labels
General Settings
Show Eclipse Labels: Toggle visibility of eclipse labels
Label Size: Choose between tiny, small, normal, or large labels
Extend Lines to Chart Borders: Toggle whether lines extend to chart borders
Year Range: Filter eclipses by decade (1980-1990, 1990-2000, etc.)
Usage Tips
For optimal visualization, use daily or weekly timeframes
When analyzing specific periods, use the Year Range filter
To focus on specific eclipse types, use the type and subtype filters
For cleaner charts, you can hide labels and only show lines
Customize colors to match your chart theme
Data Source
Eclipse data is sourced from NASA's Five Millennium Catalog of Solar Eclipses and includes both solar and lunar eclipses from 1980 to 2030.
Gold Futures vs Spot (Candlestick + Line Overlay)📝 Script Description: Gold Futures vs Spot
This script was developed to compare the price movements between Gold Futures and Spot Gold within a specific time frame. The primary goals of this script are:
To analyze the price spread between Gold Futures and Spot
To identify potential arbitrage opportunities caused by price discrepancies
To assist in decision-making and enhance the accuracy of gold market analysis
🔧 Key Features:
Fetches price data from both Spot and Futures markets (from APIs or chart sources)
Converts and aligns data for direct comparison
Calculates the price spread (Futures - Spot)
Visualizes the spread over time or exports the data for further analysis
📅 Date Created:
🧠 Additional Notes:
This script is ideal for investors, gold traders, or analysts who want to understand the relationship between the Futures and Spot markets—especially during periods of high volatility. Unusual spreads may signal shifts in market sentiment or the actions of institutional players.
Econometrica by [SS]This is Econometrica, an indicator that aims to bridge a big gap between the resources available for analysis of fundamental data and its impact on tickers and price action.
I have noticed a general dearth of available indicators that offer insight into how fundamentals impact a ticker and provide guidance on how they these economic factors influence ticker behaviour.
Enter Econometrica. Econometrica is a math based indicator that aims to co-integrate and model indicator price action in relation to critical economic metrics.
Econometrica supports the following US based economic data:
CPI
Non-Farm Payroll
Core Inflation
US Money Supply
US Central Bank Balance Sheet
GDP
PCE
Let's go over the functions of Econometrica.
Creating a Regression Cointegrated Model
The first thing Econometrica does is creates a co-integrated regression, as you see in the main chart, predicting ticker value ranges from fundamental economic data.
You can visualize this in the main chart above, but here are some other examples:
SPY vs Core Inflation:
BA vs PCE:
QQQ vs US Balance Sheet:
The band represents the anticipated range the ticker should theoretically fall in based on the underlying economic value. The indicator will breakdown the relationship between the economic indicator and the ticker more precisely. In the images above, you can see how there are some metrics provided, including Stationairty, lagged correlation, Integrated Correlation and R2. Let's discuss these very briefly:
Stationarity: checks to ensure that the relationship between the economic indicator and ticker is stationary. Stationary data is important for making unbiased inferences and projections, so having data that is stationary is valuable.
Lagged Correlation: This is a very interesting metric. Lagged correlation means whether there is a delay in the economic indicator and the response of the ticker. Typically, you will observed a lagged correlation between an economic indicator and price of a ticker, as it can take some time for economic changes to reach the market. This lagged correlation will provide you with how long it takes for the economic indicator to catch up with the ticker in months.
Integrated Correlation: This metric tells you how good of a fit the regression bands are in relation to the ticker price. A higher correlation, means the model is better at consistent and accurate information about the anticipated range for the ticker in relation to the economic indicator.
R2: Provides information on the variance and degree of model fit. A high R2 value means that the model is capable of explaining a large amount of variance between the economic indicator and the ticker price action.
Explaining the Relationship
Owning to the fact that the indicator is a bit on the mathy side (it has to be to do this kind of task), I have included ability for the indicator to explain and make suggestions based on the underlying data. It can assess the model's fit and make suggestions for tweaking. It can also explain the implications of the data being presented in the model.
Here is an example with QQQ and the US Balance Sheet:
This helps to simplify and interpret the results you are looking at.
Forecasting the Economic Indicator
In addition to assessing the economic indicator's impact on the ticker, the indicator is also capable of forecasting out the economic indicator over the next 25 releases.
Here is an example of the CPI forecast:
Overall use of the indicator
The indicator is meant to bridge the gap between Technical Analysis and Fundamental Analysis.
Any trader who is attune to fundamentals would benefit from this, as this provides you with objective data on how and to what extent fundamental and economic data impacts tickers.
It can help affirm hypothesis and dispel myths objectively.
It also omits the need from having to perform these types of analyses outside of Tradingview (i.e. in excel, R or Python), as you can get the data in just a few licks of enabling the indicator.
Conclusion
I have tried to make this indicator as user friendly as possible. Though it uses a lot of math, it is fairly straight forward to interpret.
The band plotted can be considered the fair market value or FMV of the ticker based on the underlying economic data, provided the indicator tells you that the relationship is significant (and it will blatantly give you this information verbatim, you don't have to interpret the math stuff).
This is US economic data only. It does not pull economic data from other countries. You can absolutely see how US economic data impacts other markets like the TSX, BANKNIFTY, NIFTY, DAX etc. but the indicator is only pulling US economic data.
That is it!
I hope you enjoy it and find this helpful!
Thanks everyone and safe trades as always 🚀🚀🚀
FiveFactorEdgeUses ATR14, TSI, RSI, Fast Stochastic and Slow Stochastic information to determine potential high and low price, trend strength and direction. The information ia easy to read, self-descriptive and color coded for quick reference. Since it incorporates 5 different elements it could be used by itself but as with any indicator it's highly recommended to use it with other tried and true indicators.
