I_Heikin Ashi CandleWhen apply a strategy to Heikin Ashi Candle chart (HA candle), the strategy will use the open/close/high/low values of the Heikin Ashi candle to calculate the Profit and Loss, hence also affecting the Percent Profitable, Profit Factor, etc., often resulting a unrealistic high Percent Profitable and Profit Factor, which is misleading. But if you want to use the HA candle's values to calculate your indicator / strategy, but pass the normal candle's open/close/high/low values to the strategy to calculate the Profit / Loss, you can do this:
1) set up the main chart to be a normal candle chart
2) use this indicator script to plot a secondary window with indicator looks exactly like a HA-chart
3) to use the HA-candle's open/close/high/low value to calculate whatever indicator you want (you may need to create a separate script if you want to plot this indicator in a separate indicator window)
在腳本中搜尋"profit"
Golden Cross, SMA 200 Moving Average Strategy (by ChartArt)This famous moving average strategy is very easy to follow to decide when to buy (go long) and when to take profit.
The strategy goes long when the faster SMA 50 (the simple moving average of the last 50 bars) crosses above the slower SMA 200. Orders are closed when the SMA 50 crosses below the SMA 200. This simple strategy does not have any other stop loss or take profit money management logic. The strategy does not short and goes long only!
Here is an article explaining the "golden cross" strategy in more detail:
www.stockopedia.com
On the S&P 500 index (symbol "SPX") this strategy worked on the daily chart 81% since price data is available since 1982. And on the DOW Jones Industrial Average (symbol "DOWI") this strategy worked on the daily chart 55% since price data is available since 1916. The low number of trades is in both cases not statistically significant though.
All trading involves high risk; past performance is not necessarily indicative of future results. Hypothetical or simulated performance results have certain inherent limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not actually been executed, the results may have under- or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown.
CM Stochastic POP Method 1 - Jake Bernstein_V1A good friend ucsgears recently published a Stochastic Pop Indicator designed by Jake Bernstein with a modified version he found.
I spoke to Jake this morning and asked if he had any updates to his Stochastic POP Trading Method. Attached is a PDF Jake published a while back (Please read for basic rules, which also Includes a New Method). I will release the Additional Method Tomorrow.
Jake asked me to share that he has Updated this Method Recently. Now across all symbols he has found the Stochastic Values of 60 and 30 to be the most profitable. NOTE - This can be Significantly Optimized for certain Symbols/Markets.
Jake Bernstein will be a contributor on TradingView when Backtesting/Strategies are released. Jake is one of the Top Trading System Developers in the world with 45+ years experience and he is going to teach how to create Trading Systems and how to Optimize the correct way.
Below are a few Strategy Results....Soon You Will Be Able To Find Results Like This Yourself on TradingView.com
BackTesting Results Example: EUR-USD Daily Chart Since 01/01/2005
Strategy 1:
Go Long When Stochastic Crosses Above 60. Go Short When Stochastic Crosses Below 30. Exit Long/Short When Stochastic has a Reverse Cross of Entry Value.
Results:
Total Trades = 164
Profit = 50, 126 Pips
Win% = 38.4%
Profit Factor = 1.35
Avg Trade = 306 Pips Profit
***Most Consecutive Wins = 3 ... Most Consecutive Losses = 6
Strategy 2:
Rules - Proprietary Optimization Jake Will Teach. Only Added 1 Additional Exit Rule.
Results:
Total Trades = 164
Profit = 62, 876 Pips!!!
Win% = 38.4%
Profit Factor = 1.44
Avg Trade = 383 Pips Profit
***Most Consecutive Wins = 3 ... Most Consecutive Losses = 6
Strategy 3:
Rules - Proprietary Optimization Jake Will Teach. Only added 1 Additional Exit Rule.
Results:
Winning Percent Increases to 72.6%!!! , Same Amount of Trades.
***Most Consecutive Wins = 21 ...Most Consecutive Losses = 4
Indicator Includes:
-Ability to Color Candles (CheckBox In Inputs Tab)
Green = Long Trade
Blue = No Trade
Red = Short Trade
-Color Coded Stochastic Line based on being Above/Below or In Between Entry Lines.
Link To Jakes PDF with Rules
dl.dropboxusercontent.com
Elder's Market Thermometer [LazyBear]Market temperature, introduced by Dr.Alexander Elder, helps differentiate between sleepy, quiet and hot market periods.
Following is Mr.Elder's explanation on how to use this indicator (from his book "Come in to my Trading Room"):
"When markets are quiet, the adjacent bars tend to overlap. The consensus of value is well established, and the crowd does little buying or selling outside of yesterday’s range. When highs and lows exceed their previous day’s values, they do so only by small margins. Market Thermometer falls and its EMA slants down, indicating a sleepy market. When a market begins to run, either up or down, its daily bars start pushing outside of the previous ranges. The histogram of Market Thermometer grows taller and crosses above its EMA, which soon turns up, confirming the new trend."
"Market Thermometer gives four trading signals, based on the relationship between its histogram and its moving average:
1) The best time to enter new positions is when Market Thermometer falls below its moving average. When Market Thermometer falls below its EMA, it indicates that the market is quiet. If your system flashes an entry signal, try to enter when the market is cooler than usual. When Market Thermometer rises above its moving average, it warns that the market is hot and slippage more likely.
2) Exit positions when Market Thermometer rises to triple the height of its moving average. A spike of Market Thermometer indicates a runaway move. When the crowd feels jarred by a sudden piece of news and surges, it is a good time to take profits. Panics tend to be short-lived, offering a brief opportunity to cash in. If the EMA of Market Thermometer stands at 5 cents, but the Thermometer itself shoots up to 15 cents, take profits. Test these values for the market you are trading.
3) Get ready for an explosive move if the Thermometer stays below its moving average for five to seven trading days. Quiet markets put amateurs to sleep. They become careless and stop watching prices. Volatility and volume fall, and professionals get a chance to run away with the market. Explosive moves often erupt from periods of inactivity.
4) Market Thermometer can help you set a profit target for the next trading day. If you are a short-term trader and are long, add the value of today’s Thermometer EMA to yesterday’s high and place a sell order there. If you are short, subtract the value of the Thermometer’s EMA from yesterday’s low and place an order to cover at that level."
You can configure the "Explosive Move threshold" (default: 3), "Idle Market Threshold" (default: 7) and "Thermometer EMA length" (default: 22) via Options page.
More info:
"Come in to my Trading Room - A complete Guide to Trading" by Dr.Alexander Elder. (Page 162)
List of my other indicators:
- Chart:
- GDoc: docs.google.com
Custom Indicator - No Trade Zone Warning Back Ground Highlights!Years ago I did an analysis of my trades. Every period of the day was profitable except for two. From 10:00-1030, and 1:00 to 1:30. (I was actively Day Trading Futures) Imagine a vertical graph broken down in to 30 minute time segments. I had nice Green bars in every time slot (Showing Net Profits), and HUGE Red Bars from 10 to 10:30 and 1 to 1:30. After analysis I found I made consistent profits at session open, but then I would enter in to bad setups around 10 to make more money. I also found after I took lunch when I came back at 1:00 I would force trades instead of patiently waiting for a great trade setup. I created an indicator that plotted a red background around those times telling me I was not allowed to enter a trade. Profits went up!!! Details on How to adjust times are in 1st Post. You can adjust times and colors to meet your own trading needs.
MVRV Altcoins📌 Technical Description of Indicator: MVRV Altcoins
This advanced script calculates the Market Value to Realized Value (MVRV) ratio across multiple cryptocurrencies simultaneously. It offers two analytical modes: Normal and Z-Score, optimized for visual comparison and real-time monitoring of up to 13 predefined assets. If a user applies the indicator to a symbol that is not among the 13 programmed assets, the default behavior displays the Bitcoin chart as a fallback reference.
🔍 What Is MVRV and Why Is It Important?
MVRV is an on-chain metric designed to assess whether a cryptocurrency is overvalued or undervalued by comparing its market capitalization to its realized capitalization.
- Market Cap: The total circulating supply multiplied by the current market price.
- Realized Cap: The sum value of all coins based on the price at the time they last moved on-chain, offering a time-weighted valuation.
Normal Calculation:
MVRV_Normal = Market Cap / Realized Cap
This version reflects investor profitability and identifies potential accumulation or distribution zones.
📊 Z-Score Calculation:
MVRV_ZScore = (Market Cap − Realized Cap) / Standard Deviation of Market Cap
This formula evaluates how extreme the current market conditions are compared to historical norms. It normalizes the difference using statistical dispersion, turning it into a volatility-aware metric that better reflects valuation extremes.
🔎 How Market Cap Is Computed
Unlike conventional indicators relying on consolidated feeds, this script uses modular components from CoinMetrics to construct the active capitalization more accurately, especially for altcoins. Here's the breakdown:
Active Capitalization = MARKETCAPFF + MARKETCAPACTSPLY
Realized Capitalization = MARKETCAPREAL
Component Definitions:
- MARKETCAPFF: Market Cap Free Float — total valuation based only on truly circulating coins.
- MARKETCAPACTSPLY: Capitalization from actively circulating supply — filters dormant or locked coins.
- MARKETCAPREAL: Realized Cap — historical valuation weighted by the last on-chain movement of each coin.
This method offers enhanced precision and compatibility across assets that may lack comprehensive data from centralized providers.
⚙️ User-Configurable Parameters
- MVRV Mode: Choose between Normal and Z-Score.
- Percentage Scale View: If enabled, visual output is scaled using predefined divisors (100 / 3.5 or 100 / 6).
- Thresholds for Analysis:
- Normal mode: Define overbought and oversold levels (default 1.0 and 3.5).
- Z-Score mode: Configure statistical boundaries (default 0.0 and 6.0).
- Table Controls:
- Adjustable position on screen (9 options).
- Font size customization: tiny, small, normal, large.
- Color scheme personalization:
- Header: text and background
- Body: text and background
- Central column separator color
📊 Multicrypto Table Architecture
The indicator renders a high-performance visual table displaying data from up to 13 assets simultaneously. Each asset is represented as a vertical column featuring eigth historical data points plus the most recent value.
- Assets are displayed in two blocks separated by a decorative column.
- Each value is rounded to one decimal place for clarity.
- Cells are styled dynamically based on user settings.
🎨 Decorative Column Separator
Since the entire table is built as a unified structure, a color-configurable empty column is inserted mid-table to act as a visual divider. This approach improves readability and aesthetic balance without duplicating code or splitting table logic.
🔁 Default Behavior on Unsupported Assets
If the active chart is not one of the 13 predefined assets, the indicator will automatically display Bitcoin’s data. This ensures the chart remains functional and informative even outside the target asset group.
🎯 Color Interpretation by Condition
The MVRV value for each asset is highlighted using a traffic light system:
- Green: Undervalued (below oversold threshold)
- Red: Overvalued (above overbought threshold)
- Yellow: Neutral zone
This coding simplifies decision-making and visual scanning across assets.
Final Notes
This indicator is modular and fully adaptable, with well-commented sections designed for efficient customization. Its multiactive architecture makes it a valuable tool for crypto analysts tracking diversified portfolios beyond Bitcoin and Ethereum.
It supports visual storytelling across assets, comparative historical evaluation, and identification of strategic zones — whether for accumulation, distribution, or monitoring on-chain sentiment.
KusKus Starlight Strategy📌 Gabriel's KusKus Starlight Strategy – Adaptive Volume-Based Momentum System
Description:
Gabriel’s KusKus Starlight Strategy is a high-precision, volume-driven trading system designed for short- to medium-term intraday setups. By combining Cumulative Volume Delta (CVD) with Fisher Transform logic, Z-Score anomaly detection, and adaptive moving averages (like Jurik MA and Super Smoother), the strategy seeks to capture early trend shifts, continuation breakouts, and statistically favorable reversals.
🧠 How It Works
CVD-Based Fisher Oscillator
Transforms volume delta imbalances into clean trend signals using a Fisher Transform with dual-stage smoothing.
Jurik Signal Line & Super Smoother
Provides confirmation filters that reduce whipsaw trades by identifying prevailing trend direction.
Z-Score & Velocity Boosters
Highlight when momentum is accelerating with statistical outliers, improving early entry timing.
ATR-Driven Trade Management
All entries use dynamically calculated Stop Loss and Take Profit levels based on ATR, with optional hour-specific overrides.
🎯 Strategy Entry Conditions
🔼 Long Entry:
A long trade is entered when all the following are true:
Fisher (smoothedFish) crosses above 0
Z-Score (ZKusKus) is rising or Z-Score velocity is rising
Fisher is above the Jurik MA (signal)
Price (src) is above the Super Smoother MA (ma)
Time filter is allowed (optional setting)
🔽 Short Entry:
A short trade is entered when all the following are true:
Fisher (smoothedFish) crosses below 0
Z-Score (ZKusKus) is falling or Z-Score velocity is rising
Fisher is still above the Jurik MA (signal) (anticipating exhaustion)
Price (src) is below the Super Smoother MA (ma)
Time filter is allowed (optional setting)
📤 Strategy Exit Conditions
Take Profit (TP) and Stop Loss (SL) levels are based on the ATR multiplied by dynamic multipliers.
Both TP and SL can be adjusted per hour using tp_hour_* and risk_hour_* settings to reflect optimal market behavior during different sessions.
⏰ Smart Hour-Based Filters
Use include Hours to restrict trading to 3 specific hours (e.g., 7, 8, 9). Each hour has its own:
Risk % Allocation
TP Multiplier
This adds fine-tuned control over position sizing and target reachability.
📈 Recommended Timeframes:
Optimized for 30-minute ~ 1 Hour charts, but adaptable to 1m–15m with parameter tuning.
Use hourly filters to target only statistically profitable hours, London ~ New York Afterhours.
📌 Ideal Use Case:
For traders looking to fade weak volume reversals or ride volume-supported breakouts with smart, auto-adjusting position sizing—this strategy offers a refined and flexible framework grounded in real-time order flow behavior.
cd_sweep&cisd_CxOverview:
When the price is at a significant zone/level on a higher time frame (HTF), and it sweeps (breaks through and then closes back below/above) the high or low of the previous HTF candle, it is common to look for a Change in State of Delivery (CISD) on a lower time frame (LTF) to enter a trade.
This model can be summarized as:
HTF Sweep → LTF CISD (Optional: SMT / Divergences)
________________________________________
Working Principle & Details:
1. The indicator monitors price action on the selected HTF and tracks any sweep (violation) of the previous HTF candle's high or low. Simultaneously, it identifies CISD levels on the LTF. If SMT is enabled, it will appear as a label on the chart.
When both HTF sweep and LTF CISD conditions are met, the indicator marks the chart at the open of the next candle and triggers an alert if set.
CISD levels are tracked and updated whenever a new HTF high/low is formed.
2. The indicator monitors the formation of entry models on up to six selected pairs, displaying results in two separate tables:
o HTF Sweep Query Table: Monitors live HTF candles and reports pairs that meet the sweep condition.
o CISD Table: Displays the pairs where a valid entry model has formed. A "🔥" symbol indicates the condition has occurred.
3. Bias Visualization:
Based on the selected HTF, a visual band is shown at the bottom of the chart using the chosen bullish/bearish colors.
Bias is determined by:
o Candle closing above/below the previous one suggesting continuation.
o A failed close after a sweep implying potential reversal.
4. HTF Candles:
Displays HTF candles based on the user-defined time frame.
5. Optional SMT (Smart Money Technique):
Must be enabled in the menu and requires the correlated pair to be entered correctly for accurate results.
Displayed only as a visual confirmation, not a requirement for model formation.
If the currently open symbol sweeps the previous candle while the correlated symbol does not (or vice versa), an "SMT" label appears on the chart.
6. Color & Table Positioning:
Controlled via the settings menu.
________________________________________
Warnings:
• The indicator only marks CISDs that form at HTF high/low zones.
• Entering every time the model forms does not guarantee profitability.
• Waiting for the model to appear at significant HTF levels/zones increases the likelihood of success.
• HTF and LTF selections should follow commonly accepted combinations or user-tested time frames.
• If you want to trigger alerts only for symbols entered in the indicator, ensure the "Use indicator alerts" option is enabled.
• To set alerts for the TradingView watchlist instead, disable the "Use indicator alerts" option.
________________________________________
Feel free to share your thoughts and suggestions.
Happy trading! 💫
Call and Put signals[vivekm8955]🔍 Strategy Overview
This adaptive strategy generates clear CALL (Buy) and PUT (Sell) signals by combining:
✅ Dual EMA structure
✅ Heikin Ashi trend confirmation
✅ Smoothed Stochastic Momentum Index (SMI)
✅ Take Profit (TP) signals via momentum reversal
✅ Dynamic support from average price action
The goal: Give retail traders institutional-grade signals with clarity, without lag.
📊 Trade Entry Logic
🔼 CALL Signal (Buy):
Fast EMA < Avg Price
Slow EMA < Avg Price
Slow EMA < Fast EMA
Confirmed by crossover
➡️ This implies price has dipped below value zones and is showing strength.
🔽 PUT Signal (Sell):
Fast EMA > Avg Price
Slow EMA > Avg Price
Slow EMA > Fast EMA
Confirmed by crossover
➡️ Indicates price is elevated and showing weakness.
🏁 Exit Logic (Take Profit)
✅ TP Buy Signal: SMI crosses below 0 → Weakening upside
✅ TP Sell Signal: SMI crosses above 0 → Weakening downside
These act as exit cues or partial booking areas.
📌 Visualization & Alerts
🔼 CALL Signal → Green label below candle
🔽 PUT Signal → Red label above candle
✅ TP Signal → Small label (TP) showing ideal exit points
🔔 Real-time alerts enabled (CALL, PUT, TP alerts)
Background color changes based on EMA crossovers for added confirmation.
🕯️ Additional Filters Used
Heikin Ashi Candles: For smoothing out noise and validating trends.
SMI (Double EMA): A momentum indicator better suited for trending markets.
📈 Dashboard Included
Displays current signal, SMI value, and TP status in real-time
Color-coded for easy interpretation
Auto-adaptive table (fixes out-of-bound issues)
📎 Ideal Timeframes
Timeframe Use Case
5m – 15m Intraday Scalping
1h – 4h Swing Trading
1D Positional Plays
🚦 Suggested Usage
Step Action
1️⃣ Confirm signal (CALL or PUT) on 1TF and 1 higher TF
2️⃣ Enter near signal candle close
3️⃣ Exit on TP label OR SMI reversal
4️⃣ Avoid entry during high volatility news events
⚠️ Disclaimer – Use with Caution!
⚠️ This script is for educational & analytical purposes only.
It does NOT guarantee profits, nor is it a financial advisory tool.
Always use risk management: Stop-losses, position sizing, capital preservation.
Do not trade blindly. Backtest it across market conditions.
Past performance is not indicative of future results.
Consult a SEBI-registered advisor for real trading decisions.
Aroon, Velocity & RMS Volume Strategy📈 Strategy Name:
Aroon, Velocity & RMS Volume Strategy
By GabrielAmadeusLau
🧠 Strategy Overview
This strategy is a hybrid momentum-trend model designed to trade directional breakouts using Aroon Oscillator crossovers, volume acceleration (velocity), and trend confirmation via a Super Smoother filter. Trade entries are filtered by custom time windows, and position sizing is dynamically calculated using ATR-based risk parameters.
🧩 Core Components
🔶 1. Aroon Oscillator
Detects breakout points using the relative position of recent highs/lows.
Aroon Up > Aroon Down triggers long setups; the opposite for short.
A baseline shift (-50) centers the Aroon plots for symmetry.
📉 2. Super Smoother Trend Filter
A zero-lag digital filter (2-pole smoother) applied to price.
Acts as a directional bias confirmation:
Price must be above the smoother for longs.
Price must be below for shorts.
📊 3. Velocity of RMS Volume
Measures the rate of change of volume, enhanced with RMS normalization and bandpass filtering.
Entries are only taken when volume velocity is rising, indicating increasing market activity in the trade direction.
⚙️ Entry Conditions
✅ Long Entry
Aroon Up crosses above Aroon Down
Price is above the Super Smoother
Volume velocity is rising
Current hour is not excluded
✅ Short Entry
Aroon Down crosses above Aroon Up
Price is below the Super Smoother
Volume velocity is rising
Current hour is not excluded
🔒 Risk Management & Position Sizing
ATR-Based Stop Loss & Take Profit:
SL = entry price ± ATR × sl_mult
TP = entry price ± ATR × tp_mult
Fixed Dollar Risk per Trade ($):
Position size is auto-calculated using:
units
=
⌊
User Risk
Stop Distance
⌋
units=⌊
Stop Distance
User Risk
⌋
🕐 Time Filtering
User-defined option to exclude up to three hours from trading (e.g., during low-liquidity or poor-performance times).
Controlled via:
excludeHour toggle
excludeHour1, excludeHour2, excludeHour3
📺 Visuals and Plots
Aroon Up / Down: shifted to oscillate around 0 for visual clarity.
Super Smoother: thick red trend line over price.
Velocity: dynamically shaded area chart (teal = increasing, red = decreasing).
🧠 Advanced Features (Behind-the-Scenes)
Includes modular filters and custom smoothing techniques for expansion:
Jurik MA, Butterworth HP, Laguerre Filter, Tillson T3, Hann FIR, RMS Scaling
Modular ma() and velocity() functions enable future extension and dynamic experimentation.
✅ Strengths
Combines trend, momentum, and volume in a single signal framework.
Employs robust digital signal processing filters for noise reduction.
Custom position sizing + time filtering add risk control and flexibility.
🧠 Aggressive RSI + EMA Strategy with TP/SL⚙️ How It Works
RSI-Based Entries:
Buys when RSI is below 40 (oversold) and trend is up (fast EMA > slow EMA).
Sells when RSI is above 60 (overbought) and trend is down (fast EMA < slow EMA).
Trend Filter:
Uses two EMAs (short/long) to filter signals and avoid trading against momentum.
Risk Management:
Default Take Profit: +1%
Default Stop Loss: -0.5%
This creates a 2:1 reward-to-risk setup.
📊 Backtest Settings
Initial Capital: $10,000
Order Size: 10% of equity per trade (adjustable)
Commission: 0.04% per trade (Binance spot-style)
Slippage: 2 ticks
Tested on: BTC/USDT – 15min timeframe (suitable for high-frequency scalping)
Trade Sample: (Adjust this based on your actual results.)
🔔 Features
Built-in alerts for buy/sell signals
Visual chart plots for entry/exit, RSI, EMAs
Customizable inputs for RSI thresholds, TP/SL %, EMA lengths
💡 Why It’s Unique
Unlike many RSI systems that trade blindly at 70/30 levels, this strategy adds a trend filter to boost signal quality.
The tight TP/SL configuration is tailored for scalpers and intraday momentum traders who prefer quick, consistent trades over long holds.
Fear Volatility Gate [by Oberlunar]The Fear Volatility Gate by Oberlunar is a filter designed to enhance operational prudence by leveraging volatility-based risk indices. Its architecture is grounded in the empirical observation that sudden shifts in implied volatility often precede instability across financial markets. By dynamically interpreting signals from globally recognized "fear indices", such as the VIX, the indicator aims to identify periods of elevated systemic uncertainty and, accordingly, restrict or flag potential trade entries.
The rationale behind the Fear Volatility Gate is rooted in the understanding that implied volatility represents a forward-looking estimate of market risk. When volatility indices rise sharply, it reflects increased demand for options and a broader perception of uncertainty. In such contexts, price movements can become less predictable, more erratic, and often decoupled from technical structures. Rather than relying on price alone, this filter provides an external perspective—derived from derivative markets—on whether current conditions justify caution.
The indicator operates in two primary modes: single-source and composite . In the single-source configuration, a user-defined volatility index is monitored individually. In composite mode, the filter can synthesize input from multiple indices simultaneously, offering a more comprehensive macro-risk assessment. The filtering logic is adaptable, allowing signals to be combined using inclusive (ANY), strict (ALL), or majority consensus logic. This allows the trader to tailor sensitivity based on the operational context or asset class.
The indices available for selection cover a broad spectrum of market sectors. In the equity domain, the filter supports the CBOE Volatility Index ( CBOE:VIX VIX) for the S&P 500, the Nasdaq-100 Volatility Index ( CBOE:VXN VXN), the Russell 2000 Volatility Index ( CBOEFTSE:RVX RVX), and the Dow Jones Volatility Index ( CBOE:VXD VXD). For commodities, it integrates the Crude Oil Volatility Index ( CBOE:OVX ), the Gold Volatility Index ( CBOE:GVZ ), and the Silver Volatility Index ( CBOE:VXSLV ). From the fixed income perspective, it includes the ICE Bank of America MOVE Index ( OKX:MOVEUSD ), the Volatility Index for the TLT ETF ( CBOE:VXTLT VXTLT), and the 5-Year Treasury Yield Index ( CBOE:FVX.P FVX). Within the cryptocurrency space, it incorporates the Bitcoin Volmex Implied Volatility Index ( VOLMEX:BVIV BVIV), the Ethereum Volmex Implied Volatility Index ( VOLMEX:EVIV EVIV), the Deribit Bitcoin Volatility Index ( DERIBIT:DVOL DVOL), and the Deribit Ethereum Volatility Index ( DERIBIT:ETHDVOL ETHDVOL). Additionally, the user may define a custom instrument for specialized tracking.
To determine whether market conditions are considered high-risk, the indicator supports three modes of evaluation.
The moving average cross mode compares a fast Hull Moving Average to a slower one, triggering a signal when short-term volatility exceeds long-term expectations.
The Z-score mode standardizes current volatility relative to historical mean and standard deviation, identifying significant deviations that may indicate abnormal market stress.
The percentile mode ranks the current value against a historical distribution, providing a relative perspective particularly useful when dealing with non-normal or skewed distributions.
When at least one selected index meets the condition defined by the chosen mode, and if the filtering logic confirms it, the indicator can mark the trading environment as “blocked”. This status is visually highlighted through background color changes and symbolic markers on the chart. An optional tabular interface provides detailed diagnostics, including raw values, fast-slow MA comparison, Z-scores, percentile levels, and binary risk status for each active index.
The Fear Volatility Gate is not a predictive tool in itself but rather a dynamic constraint layer that reinforces discipline under conditions of macro instability. It is particularly valuable when trading systems are exposed to highly leveraged or short-duration strategies, where market noise and sentiment can temporarily override structural price behavior. By synchronizing trading signals with volatility regimes, the filter promotes a more cautious, informed approach to decision-making.
This approach does not assume that all volatility spikes are harmful or that market corrections are imminent. Rather, it acknowledges that periods of elevated implied volatility statistically coincide with increased execution risk, slippage, and spread widening, all of which may erode the profitability of even the most technically accurate setups.
Therefore, the Fear Volatility Gate acts as a protective mechanism.
Oberlunar 👁️⭐
FVG 9:31–10:00 AM ETFVG 9:31–10:00 AM ET - Script Description
What This Script Does
This indicator finds **Fair Value Gaps (FVGs)** that form during the first 29 minutes of the U.S. stock market (9:31 AM to 10:00 AM Eastern Time). A Fair Value Gap is a price imbalance where there's a gap between candles that often becomes an important support or resistance level.
Key Features:
- **Time Window**: Only looks for FVGs between 9:31-10:00 AM ET (most important opening period)
- **One Per Day**: Finds only the first FVG that forms in this time window each day
- **Visual Display**: Draws a purple box around the gap with a clear "FVG" label
- **Price Tracking**: Monitors when price comes back to test the gap level
- **Alert System**: Sends notifications when price returns to the FVG zone
How FVGs Are Detected:
- **Bullish FVG**: When there's a gap up (low of middle candle is above high of 3rd candle back)
- **Bearish FVG**: When there's a gap down (high of middle candle is below low of 3rd candle back)
The 9:31-10:00 AM window is chosen because this is when institutions and algorithms create their biggest price moves right after market open, making these gaps very reliable.
Customization Options
User Settings
Extend FVG Box (Bars)
- **What it does**: Makes the purple box longer to the right
- **Default**: 0 (box ends right after the gap forms)
- **Options**: Any number from 0 to 100+
- **When to use**:
- Keep at 0 for clean historical view
- Set to 10-20 to track the gap during the current session
- Set higher for longer reference
Code Settings (Can Be Changed)
Time Window
- **Start**: 9:31 AM Eastern Time
- **End**: 10:00 AM Eastern Time
- **Can modify**: Change the hour/minute numbers in the code
Visual Style
- **Color**: Purple with see-through background
- **Label**: Shows "FVG" text in white
- **Can modify**: Change colors and transparency in the code
How to Use:
Setup
Chart Settings
1. Use 1-minute, 5-minute, or 15-minute charts (works best on these timeframes)
2. Apply to liquid markets like ES, NQ, major stocks, or forex pairs
3. Set the "Extend FVG Box" to your preference (start with 0 or 10)
What You'll See
- A purple box appears when an FVG forms during 9:31-10:00 AM
- Box shows the exact price levels of the gap
- "FVG" label appears on the box
- Only one FVG per day will be marked
Trading Strategies
Basic FVG Trading
1. **Wait for Formation**: Let the purple box appear during 9:31-10:00 AM
2. **Watch Price Movement**: See if price moves away from the gap
3. **Enter on Retest**: When price comes back to the purple box area, consider entering
4. **Trade Direction**:
- Bullish FVG = look for long opportunities when price retests
- Bearish FVG = look for short opportunities when price retests
Entry Methods
- **Bounce Play**: Enter when price touches the FVG box and bounces away
- **Break Play**: Enter if price strongly breaks through the FVG box
- **Rejection Play**: Enter opposite direction if price gets rejected at the FVG
Risk Management
Stop Losses
- Place stops just outside the FVG box (a few ticks beyond the gap)
- If trading a bounce, stop goes on opposite side of the gap
- If trading a break, stop goes back inside the gap
Position Sizing
- Start small until you understand how FVGs work in your market
- Bigger gaps = smaller position size (more risk)
- Smaller gaps = can use larger position size
Profit Targets
- Take profits at obvious levels like round numbers, previous highs/lows
- Consider taking half profits at 1:1 risk/reward ratio
- Let some position run if the move is strong
Best Practices
When It Works Best
- High-volume stocks and futures (ES, NQ work great)
- Normal market days without major news during the 9:31-10:00 window
- When there's clear institutional activity in the opening period
When to Be Careful
- Low-volume stocks or markets
- Major economic news releases during the time window
- Market holidays when volume is low
- Very choppy or sideways days
Alert Usage
- The script will alert you when price comes back to test the FVG
- Don't trade the alert blindly - always check the current market situation
- Use the alert as a heads-up to start watching the setup more closely
Tips for Success
- The earlier the FVG forms in the 9:31-10:00 window, often the more significant it is
- FVGs that form with high volume are usually more reliable
- Always consider the overall market direction - don't fight the main trend
- Practice on paper first to understand how FVGs behave in your chosen market
🔗 Works Best With:
✅ Liquidity Levels — Smart Swing Lows: Spot key structural lows that can fuel stop hunts and reversals.
✅ ICT Turtle Soup — Liquidity Reversal: Add a classic reversal pattern to your toolkit to catch fakeouts cleanly.
✅ ICT SMC Liquidity Grabs and OBs- Liquidity Grabs, Order Block Zones, and Fibonacci OTE Levels, allowing traders to identify institutional entry models with clean, rule-based visual signals.
This script is most valuable for day traders who want to catch institutional moves right after market open, but it can also help swing traders identify important intraday levels.
✅ ICT Macro Zones (Grey Box Version)- It tracks real-time highs and lows for each Silver Bullet session.
✅ Weekly Opening Gap (cryptonnnite)
Momentum_EMABand📢 Reposting this script as the previous version was shut down due to house rules. Follow for future updates.
The Momentum EMA Band V1 is a precision-engineered trading indicator designed for intraday traders and scalpers. This first version integrates three powerful technical tools — EMA Bands, Supertrend, and ADX — to help identify directional breakouts while filtering out noise and choppy conditions.
How the Indicator Works – Combined Logic
This script blends distinct but complementary tools into a single, visually intuitive system:
1️⃣ EMA Price Band – Dynamic Zone Visualization
Plots upper and lower EMA bands (default: 9-period) to form a dynamic price zone.
Green Band: Price > Upper Band → Bullish strength
Red Band: Price < Lower Band → Bearish pressure
Yellow Band: Price within Band → Neutral/consolidation zone
2️⃣ Supertrend Overlay – Reliable Trend Confirmation
Based on customizable ATR length and multiplier, Supertrend adds a directional filter.
Green Line = Uptrend
Red Line = Downtrend
3️⃣ ADX-Based No-Trade Zone – Choppy Market Filter
Manually calculated ADX (default: 14) highlights weak trend conditions.
ADX below threshold (default: 20) + Price within Band → Gray background, signaling low-momentum zones.
Optional gray triangle marker flags beginning of sideways market.
Why This Mashup & How the Indicators Work Together
This mashup creates a high-conviction, rules-based breakout system:
Supertrend defines the primary trend direction — ensuring trades are aligned with momentum.
EMA Band provides structure and timing — confirming breakouts with retest logic, reducing false entries.
ADX measures trend strength — filtering out sideways markets and enhancing trade quality.
Each component plays a specific role:
✅ Supertrend = Trend bias
✅ EMA Band = Breakout + Retest validation
✅ ADX = Momentum confirmation
Together, they form a multi-layered confirmation model that reduces noise, avoids premature entries, and improves trade accuracy.
💡 Practical Application
Momentum Breakouts: Enter when price breaks out of EMA Band with Supertrend confirmation
Avoid Whipsaws: Skip trades during gray-shaded low-momentum periods
Intraday Scalping Edge: Tailored for lower timeframes (5min–15min) where noise is frequent
⚠️ Important Disclaimer
This is Version 1 — expect future enhancements based on trader feedback.
This tool is for educational purposes only. No indicator guarantees profitability. Use with proper risk management and strategy validation.
Portfolio-Übersicht (3 Assets)Title: Portfolio Overview (3 Assets)
Description:
This simple indicator allows you to display a quick and clear portfolio overview of up to three different assets (stocks, ETFs, etc.) directly on your TradingView chart.
It is ideal for investors who want to keep an eye on their core positions without constantly switching to their broker.
Features:
Clear Table View: Displays all key metrics in a clean table at the bottom left of the chart.
Profit & Loss Calculation: Calculates the total purchase value, current value, and the resulting profit or loss for each position and the total portfolio.
Color-Coding: Profits are displayed in green and losses in red for immediate visual feedback.
Stable and Reliable: The code is intentionally kept simple to ensure stable functionality.
How to Use:
Add the indicator to your chart.
Open the indicator's settings (the gear icon).
For each of the three positions, enter the following data:
Symbol: The ticker symbol (e.g., NASDAQ:AAPL or GETTEX:EUNL).
Quantity: The number of shares you own.
Purchase Price: Your average purchase price per share.
The script will automatically update the table with the latest closing prices.
10kaDum by NAVHere's a comprehensive description for publishing your "10kaDum by NAV" script on TradingView:
---
# 🎯 10kaDum by NAV - Advanced SMA Alignment Trading System
**A comprehensive trading strategy that combines SMA alignment signals with intelligent dip-buying and automated profit-taking mechanisms.**
## 📊 Strategy Overview
The 10kaDum system identifies optimal entry and exit points using Simple Moving Average (SMA) alignment patterns, while providing additional opportunities through systematic dip buying and profit taking.
### Core Signals:
🟢 **MAIN BUY**: Triggers when Close < SMA20 < SMA50 < SMA200 (bearish alignment - potential reversal)
🟡 **10kaDum BUY**: Secondary buy signal when price drops 10% after main buy (dollar-cost averaging)
🟠 **10kaDum SELL**: Exit signal when price rises 10% from 10kaDum buy (quick profit taking)
🔴 **MAIN SELL**: Exit signal when Close > SMA20 > SMA50 > SMA200 (bullish alignment - trend reversal)
## 🔥 Key Features
### Smart Signal Management
- **One-time signals**: Each signal triggers only once until the opposite condition occurs
- **No signal spam**: Clean, actionable entries without repetitive alerts
- **Cycle-based logic**: Complete trading cycles from entry to exit
### Performance Analytics
- **Real-time statistics table** with configurable position and styling
- **Closed Trades**: Total number of completed 10kaDum cycles
- **Average Days**: Mean holding period for 10kaDum positions
- **Minimum Days**: Fastest trade completion time
- **Min Days Date**: When the fastest trade occurred
### Advanced Label System
- **Performance metrics**: Days held, gain percentage, and CAGR on exit signals
- **Calendar days calculation**: Accurate time-based performance (not just bars)
- **Anti-overlap positioning**: Smart label placement to avoid chart clutter
- **Fully customizable**: Colors, sizes, and text styling
### Professional Customization
- **Label colors**: Separate color controls for each signal type
- **Table styling**: Full control over fonts, colors, and positioning
- **Position controls**: Precise offset adjustments for optimal visibility
- **Alert system**: Built-in alerts for all signal types
## 📈 Trading Logic
**Entry Strategy:**
1. Wait for bearish SMA alignment (potential bottom)
2. Enter initial position on MAIN BUY
3. Add to position on 10% dips (10kaDum BUY)
**Exit Strategy:**
1. Take quick profits on 10kaDum positions (+10% gain)
2. Hold main position until bullish SMA alignment
3. Full exit on MAIN SELL signal
## 🎨 Visual Elements
- **SMA Lines**: 20, 50, and 200-period moving averages
- **Colored Labels**: Distinct visual signals for each action
- **Statistics Table**: Live performance tracking
- **Clean Design**: Minimal chart clutter with maximum information
## ⚡ Best Practices
- Use on daily or higher timeframes for best results
- Combine with volume analysis for confirmation
- Monitor the statistics table for strategy performance
- Adjust position sizes based on signal type
- Set alerts for hands-free trading
## 🔧 Customization Options
- **9 table positions** (top, middle, bottom × left, center, right)
- **5 font sizes** (tiny to huge)
- **Full color customization** for all elements
- **Adjustable label spacing** for different chart scales
- **Toggle statistics display** on/off
---
**Disclaimer**: This indicator is for educational purposes. Past performance doesn't guarantee future results. Always practice proper risk management and consider your financial situation before trading.
**Created by**: NAV
**Version**: 1.0
**Category**: Strategy / Trend Analysis
---
This description highlights the key features, provides clear usage instructions, and maintains a professional tone suitable for TradingView's marketplace.
Quantum Dip Hunter | AlphaNattQuantum Dip Hunter | AlphaNatt
🎯 Overview
The Quantum Dip Hunter is an advanced technical indicator designed to identify high-probability buying opportunities when price temporarily dips below dynamic support levels. Unlike simple oversold indicators, this system uses a sophisticated quality scoring algorithm to filter out low-quality dips and highlight only the best entry points.
"Buy the dip" - but only the right dips. Not all dips are created equal.
⚡ Key Features
5 Detection Methods: Choose from Dynamic, Fibonacci, Volatility, Volume Profile, or Hybrid modes
Quality Scoring System: Each dip is scored from 0-100% based on multiple factors
Smart Filtering: Only signals above your quality threshold are displayed
Visual Effects: Glow, Pulse, and Wave animations for the support line
Risk Management: Automatic stop-loss and take-profit calculations
Real-time Statistics: Live dashboard showing current market conditions
📊 How It Works
The indicator calculates a dynamic support line using your selected method
When price dips below this line, it evaluates the dip quality
Quality score is calculated based on: trend alignment (30%), volume (20%), RSI (20%), momentum (15%), and dip depth (15%)
If the score exceeds your minimum threshold, a buy signal arrow appears
Stop-loss and take-profit levels are automatically calculated and displayed
🚀 Detection Methods Explained
Dynamic Support
Adapts to recent price action
Best for: Trending markets
Uses ATR-adjusted lowest points
Fibonacci Support
Based on 61.8% and 78.6% retracement levels
Best for: Pullbacks in strong trends
Automatically switches between fib levels
Volatility Support
Uses Bollinger Band methodology
Best for: Range-bound markets
Adapts to changing volatility
Volume Profile Support
Finds high-volume price levels
Best for: Identifying institutional support
Updates dynamically as volume accumulates
Hybrid Mode
Combines all methods for maximum accuracy
Best for: All market conditions
Takes the most conservative support level
⚙️ Key Settings
Dip Detection Engine
Detection Method: Choose your preferred support calculation
Sensitivity: Higher = more sensitive to price movements (0.5-3.0)
Lookback Period: How far back to analyze (20-200 bars)
Dip Depth %: Minimum dip size to consider (0.5-10%)
Quality Filters
Trend Filter: Only buy dips in uptrends when enabled
Minimum Dip Score: Quality threshold for signals (0-100%)
Trend Strength: Required trend score when filter is on
📈 Trading Strategies
Conservative Approach
Use Dynamic method with Trend Filter ON
Set minimum score to 80%
Risk:Reward ratio of 2:1 or higher
Best for: Swing trading
Aggressive Approach
Use Hybrid method with Trend Filter OFF
Set minimum score to 60%
Risk:Reward ratio of 1:1
Best for: Day trading
Scalping Setup
Use Volatility method
Set sensitivity to 2.0+
Focus on Target 1 only
Best for: Quick trades
🎨 Visual Customization
Color Themes:
Neon: Bright cyan/magenta for dark backgrounds
Ocean: Cool blues and teals
Solar: Warm yellows and oranges
Matrix: Classic green terminal look
Gradient: Smooth color transitions
Line Styles:
Solid: Clean, simple line
Glow: Adds depth with glow effect
Pulse: Animated breathing effect
Wave: Oscillating wave pattern
💡 Pro Tips
Start with the Trend Filter ON to avoid catching falling knives
Higher quality scores (80%+) have better win rates but fewer signals
Use Volume Profile method near major support/resistance levels
Combine with your favorite momentum indicator for confirmation
The pulse animation can help draw attention to key levels
⚠️ Important Notes
This indicator identifies potential entries, not guaranteed profits
Always use proper risk management
Works best on liquid instruments with good volume
Backtest your settings before live trading
Not financial advice - use at your own risk
📊 Statistics Panel
The live statistics panel shows:
Current detection method
Support level value
Trend direction
Distance from support
Current signal status
🤝 Support
Created by AlphaNatt
For questions or suggestions, please comment below!
Happy dip hunting! 🎯
Not financial advice, always do your own research
Strategy with DI+/DI-, ADX, RSI, MACD, EMA + Time Stop [EXP. 1]Strategy Overview
This is an experimental trend-following strategy combining directional movement indicators, momentum filters, and time-based exits. Built for low timeframes like BTCUSDT 5m, it aims to detect clean directional setups while managing risk tightly.
Indicator Components
• DI+/DI- + ADX – Confirms trend direction and strength
• RSI (14) – Momentum filter (entries only if RSI > 55 or < 45)
• MACD Histogram – Confirms momentum shift in signal direction
• Candle Body % Filter – Screens for strong price commitment bars
• EMA 600 & EMA 2400 – Defines long-term trend alignment
• Time-Based Stop – Closes trade if it doesn’t move 0.75% in 85 bars
• Reward:Risk – 1% stop-loss, 7.5:1 reward-to-risk
• One Trade per EMA Cross – Only trades first valid signal per trend shift
Entry Logic
Long Entry:
• DI+ crosses above DI−
• RSI > 55
• MACD histogram > 0
• Strong bullish candle
• EMA600 > EMA2400
• Occurs within 25 bars of an EMA crossover
Short Entry:
• DI+ crosses below DI−
• RSI < 45
• MACD histogram < 0
• Strong bearish candle
• EMA2400 > EMA600
• Occurs within 25 bars of an EMA crossover
Exit Logic
• Stop-loss: 1% from entry
• Take-profit: 7.5x risk
• Time-stop: Trade closed if price doesn’t move 0.75% in 85 bars
Testing Parameters
• Initial Capital: $10,000
• Commission: 0.04% per trade
• Timeframe: 5-minute
• Tested on: BTCUSDT
• ⚠️ Early-stage strategy — trade count may be low depending on market context. This is shared for educational use and community feedback.
Notes
• This script is experimental and educational
• Please forward-test in a demo environment before using it live
• Open-source for learning and improvement — contributions welcome!
VSA-Stopping VolumeVSA Stopping Volume Indicator
Stopping Volume occurs when candles show decreasing body sizes (narrow spreads) while volume steadily increases.
Example chart:
As you see:
3 consecutive candles in same direction (all green OR all red)
Body sizes (spreads) decreasing progressively: Candle 1 > Candle 2 > Candle 3
Volume increasing progressively: Volume 1 < Volume 2 < Volume 3
This pattern indicates price absorption - increased buying/selling pressure but declining price movement, often signaling exhaustion and potential reversal.
Indicator Features
This indicator detects Stopping Volume candlestick clusters with two signal types:
🔹 BUY/SELL Signals: Generated when pattern occurs at support/resistance zones
🔹 Directional Alerts (▲-green, ▼-red): Generated when pattern occurs outside key levels
Trading Guidelines:
⚠️ Auto-drawn S/R zones are reference only - manual level plotting recommended for accuracy
📊 Best for scalping: M5, M10, M15 timeframes
🛡️ Stop Loss: Place beyond the S/R zone you're trading
🎯 Take Profit: Based on your risk management
Key Concept: Volume expansion + price contraction = potential reversal, especially at SnR levels.
Perfect for scalpers looking to catch reversals at critical zones!
5-Indicator Swing StrategyCustom 5-Indicator Swing Strategy for 4H Chart
---
Key Features:
1. Price Uptrend Detection
Uses 50-period EMA as trend filter
Only takes long positions when price is above EMA
2. RSI Momentum Confirmation
RSI must be above 40 and rising (3-bar confirmation)
Includes overbought exit at RSI > 70
3. MACD Bullish Crossover
Detects when MACD line crosses above signal line
Uses standard 12/26/9 settings (customizable)
4. Volume Spike Detection
Identifies volume spikes 1.5x above 20-period average
Confirms breakout strength
5. Fibonacci Retracement Levels
Calculates dynamic Fibonacci levels from recent swing high/low
Enters when price is near 38.2% to 61.8% support levels
Additional Features:
Risk Management: Stop Loss: 2 x ATR below entry price / Take Profit: 3 x ATR above entry price
ATR Length: 14 periods
Visual Indicators: Clear entry/exit signals with shapes
Information Table: Real-time status of all 5 conditions
Multi-Panel Display: RSI, MACD, and Volume in separate panels
Customizable Parameters: All inputs can be adjusted
Alert System: Built-in alerts for entry and exit signals
JWs Algo📈 JWs Algo — 8/21 EMA Crossover Strategy with Take Profit and Stop Loss
JWs Algo is a momentum-based trading strategy that uses a classic 8/21 Exponential Moving Average (EMA) crossover to identify trend reversals and generate long and short trade signals. It includes built-in take profit and stop loss parameters to manage risk and lock in profits automatically.
🔍 Core Logic
Long Entry: When the 8 EMA crosses above the 21 EMA (bullish signal)
Short Entry: When the 8 EMA crosses below the 21 EMA (bearish signal)
Exit: Each position is exited automatically upon hitting either:
A take profit, defined as a percentage gain from entry
A stop loss, defined as a percentage loss from entry
✅ Key Features
Supports both long and short trades
Configurable take profit (%) and stop loss (%)
Prevents overlapping trades — the strategy waits for one trade to fully close before opening another
Clean visualization with:
Buy and sell signal markers
Plotted 8 EMA and 21 EMA for trend context
Compatible with any symbol and timeframe
⚙️ Recommended Use
This strategy works best on trending markets and can be adapted for:
Crypto
Forex
Stocks
Indices
Tune the TP/SL values and timeframe based on asset volatility for best results. Backtest thoroughly.
Break & Retest Strategy V2 (Clean Visuals)This strategy is built on a high-probability EMA breakout and retest model, designed for traders who want clean structure-based entries filtered by trend alignment and strong price action. It leverages:
• ✅ A 44 EMA trend filter on the 4H chart
• ✅ HTF directional bias from the Daily 44 EMA
• ✅ Breakout above the EMA followed by a wick-based retest
• ✅ Strong bullish candle confirmation (body > 50% of range)
• ✅ Dynamic stop loss using either the pivot low or a buffer below the EMA
• ✅ Fixed 1:3 Risk:Reward ratio for consistent reward targeting
• ✅ Cooldown system to prevent overtrading
• ✅ Clean, minimal visuals using smart RR boxes instead of chart clutter
This system is fully backtestable and designed with prop firm challenge criteria in mind — prioritizing risk control, clarity, and high-quality trade conditions.
⸻
🔧 Current Development Goals (V3 Roadmap)
We’re actively refining the system to improve win rate and profit factor, while keeping drawdown low. Key upgrades in progress:
1. 📈 Liquidity Trap Filter
• Add logic to confirm a wick below recent lows (liquidity sweep) before retesting the EMA
2. 🧠 Partial Take Profits + Breakeven Logic
• TP1 at 1.5R → move SL to breakeven
• TP2 at 3R → close remaining position
3. 🔁 Trade Session Filter
• Limit entries to London & New York AM sessions to avoid false signals in low volume periods
4. 📉 Short Entry Engine
• Mirror logic for bearish break + retest setups below the EMA
5. 🔔 Live Alerts System
• Entry signal alerts for hands-free, real-time trading decisions
6. 📊 Optimizer Toolkit (future)
• Add ATR/volatility filters
• Add market structure confluence zones (HH/HL filters)
• Smart cooldown timer based on wins/losses or volatility shifts
Gann Octave 8 - Professional V 1.0Gann Octave 8 Indicator:
Core Concept: This indicator divides the price range between highest high and lowest low into 8 equal parts (octaves), creating support/resistance levels based on W.D. Gann's trading principles.
Key Components:
1. Price Range Calculation:
o Finds highest high and lowest low over a lookback period (default 50 bars)
o Divides this range into 8 equal segments (12.5% each)
2. 8 Octave Levels:
o 0% (Low Support) - Strongest support
o 12.5%, 25%, 37.5% - Minor levels
o 50% (CRITICAL) - Most important level
o 62.5%, 75%, 87.5% - Minor levels
o 100% (High Resistance) - Strongest resistance
3. Gann Angles: Projects trend lines from high/low points at various angles (1x1, 2x1, 1x2, etc.)
4. Visual Features:
o Color-coded levels
o Information table showing current position
o Background highlighting when near critical levels
o Trend analysis (bullish/bearish zones)
Trading Strategy
Entry Signals:
BULLISH TRADES:
• Price crosses above 50% level → Strong buy signal
• Price bounces from 25% or 37.5% levels → Support bounce
• Price in upper zone (above 50%) → Bullish bias
BEARISH TRADES:
• Price crosses below 50% level → Strong sell signal
• Price rejects at 75% or 87.5% levels → Resistance rejection
• Price in lower zone (below 50%) → Bearish bias
Key Trading Rules:
1. 50% Level is Critical: Most important for trend direction
2. Zone Trading:
o Above 50% = Bullish zone (look for longs)
o Below 50% = Bearish zone (look for shorts)
3. Strength Levels:
o Above 75% or below 25% = Strong moves
o Near 100% (high) or 0% (low) = Extreme levels
Risk Management:
• Stop Loss: Place below previous octave level
• Take Profit: Target next octave level
• Position Size: Reduce size near extreme levels (0%, 100%)
Example Trade:
If price breaks above 50% level:
• Entry: Long position
• Stop: Below 37.5% level
• Target: 75% level
• Risk: Monitor for rejection at resistance levels
The indicator works best in trending markets and helps identify high-probability reversal zones.
Works for both Stocks & Derivatives. Experiment with code and share your feedback in comments..
