Force of Strategy (FoS, Multi TF/TA, Backtest, Alerts)Introducing the FoS Trading System
A comprehensive and innovative solution designed for both novice and experienced traders to enhance their intraday trading.
The basic idea of creating this script is to stay profitable in any market
Key Features:
There are over 25 no-repaint strategies for generating buy and sell signals to choose from
10 symbols for simultaneous trading
Webhook alerts in TTA format (tradingview to anywhere) pre-configured to send messages for trading cross-margin futures on major Crypto Exchanges: Binance, Bitget, BingX, Bybit, GateIO and OKX
A unique automated "Strategy switcher" feature for backtesting and live trading—not just a specific strategy, but the logic behind choosing a trading one or another strategy based on backtesting data obtained in real time
Advanced risk management options and backtest result metrics
Higher Timeframe filters (Technical Rating, ADX, Volatility) and ability for check backtest results with 9 main higher timeframes
Buy and sell signals are generated using TradingView Technical Ratings, indicators with adaptive length algorithms and various classic indicators with standard settings to avoid overfitting
Next, I will describe in detail what this script does and what settings it operates with:
"All Strategies" off
- In the global settings block, as shown in the main chart screenshot, you select how long the script will perform backtests in days, with a limitation on the number of bars for calculations. This limitation is necessary to maintain an acceptable calculation speed. You also choose which two higher timeframes we will use for signal and filters when confirming the opening of trades
- With "All Strategies" off - as in the example on the main chart screenshot, trading is carried out by strategy #1 on 10 selected tickers simultaneously. By default, I selected the 9 top-capitalized cryptocurrencies on the Bitget exchange and the chart symbol. You can change that choice of 9 non chart opened instruments and # strategy for each them
- The first row in the table 1 shows some of the main choosen script settings, in attached example: initial capital 20$, leverage 50L, 20 backtest days, 3$ is invest in one deal, 60m - is chart timeframe, next 60m is higher timeframe 1 and last 90m is higher timeframe 2. In first column you see shortened to 5 characters ticker names
- The exchange name in the second row determines the alert messages format
I've attached another example of trading with setting "All strategies" off in the image below. In this example, trading 10 standard symbols on an hourly timeframe, 2 coins from 10: 1000SATS and DOGE have generated a profit of over $65 over the past 20 days using strategy #4
Can you browse a wide range of trading instruments and select the 10 best strategies and settings for future trading? Of course, trading is what this script is do!
The parameters in the table 1 mean the following:
TR - count of closed trading deals
WR - Winning Rate, PF - Profit Factor
MDD - Max Draw Down for all calculated time from initial capital
R$ - trading profit result in usd
The parameters in the table 2 is just more metrics for chart symbol:
PT - result in usd Per one Trade
PW - result Per Win, PL - result Per Lose
ROI - Rate of Investments
SR - Sharpe Ratio, MR - CalMAR ration
Tx - Commision Fee in Usd
R$ - trading profit result in usd again
Table 2 separate trade results of backtesting for longs and shorts. In first column you see how many USD were invested in one trade, taking into account possible position splitting (will be discussed in more detail in the risk management section)
Settings:
"All Strategies" on, "Check Last" off
When "All Strategies" is active, trading changed from 10 symbols and one strategy to all strategies and one chart symbol. If option "Check Last" is inactive you will see backtest results for each of strategy in backtest setting days. This is useful, for example, if you want to see backtest results under different settings over a long period of time for calibrating risk management or entry rules
"All Strategies" on, "Check Last" on
- If "All Strategies" and "Check Last" is active trading will occur on the chart symbol only for those strategies that meet the criteria of the settings block for the enabled "All Strategies" option. For example your criteria is: for last 5 trades for all strategies, open next trade only on strategy which reached ROI 25% and WinRate 50%. When strategy with this setting criteria receive Buy or Sell Signal this trade will be opened, and when trade will be close "check last" will repeat. This feature i called "Strategy switcher"
-In Table 1 if strategy meet criteria you will see "Ok" label, if strategy meet criteria and have maximum from other reached ROI they labeled "Best". Chart strategy labeled "Chart", Chart and Ok labels in one time is "Chart+", "Chart" and "Best" is labeled "Best+"
- The color in the first column of table 1 indicates that the strategy is currently in an open position: green means an open long position, red means an open short position.
In picture bellow you will see good example for trading with check results for last 10 trades, and make desicion for trading when criteries 0.25 ROI and WinRate 50% reached for Top 2 by ROI strategies from all list of them. This example of trading logic in last 20 days (include periods when strategy don't arise 10 trades) give a profit $30+. At the bottom of the screen, you can see Labels with the numbers of the strategies that opened the trades. In this example, trades were primarily opened using strategy number 2, and the second most effective strategy after the 20-day backtest was strategy number 9
Who can promise you'll make a profit of $30 in the next 20 days with a drawdown of no more than $8 from the initial $20 with invest in one trade just 2.7$? No one. But this script guarantees that in the future it will repeat the same logic of switching trading strategies that brought profit over the last 20 days
Risk management options
- When a buy or sell trade is opened, you'll see three lines on the chart: a red stop-loss line (SL), a green take-profit line (TP), and a blue line representing the entry price. The trade will be closed if the high price or low price reaches the line TP or SL (no wait for bar close) and alert will be triggered once per bar when script recalculates
- Several options are available to control the behavior of SL/TP lines, such as stop-loss by percentage, ATR, or Highest High (HH) and Lowest Low (LL). Take Profit can be in percent, ATR or in Risk Reward ratio. There some Trailing Stop with start trail trigger options, like ATR, percent or HH / LL
- Additionally, in risk managment settings a function has been implemented for adding a position when the breakeven level expressed in the current ROI is reached for opened trade (splitting position). The position is added within the bar.
- Webhook alerts in TTA format with message contained next info : Buy / Sell or adding Quantity, Leverage, SL price, TP price and close trade
Keep in mind if the stop-loss changed when adding a position, the stop-loss will not be able to be higher than the current bar's low price, regardless of your settings, as backtest trades do not use intra-bar data, in this situation SL will be correct at next bar (but alert message don't be sended twice). And please note that this script does not have an option to simultaneously open trades in different directions. Only 1 trade can be opened for 1 trading instrument at a time
Backtest Engine
Backtest is a very important part of this script. Here describe how its calculate:
- Profit or Loss is USD: close trade price * open trade quantity - open trade price * open trade quantity - open trade quantity * (open trade price + close trade price)/2 * commision fee
Possible slippage or alert sending delay needed to be include in commission % which you will set in risk managment settings block, default settings is 0.15% (0,06% for open, 0,06% for close and 0,03% for possible slippage or additional fees)
- Maximum Draw Down: Drawdown = (peak - current equity) / peak * 100 ;
Drawdown > maxDrawdown ? maxDrawdown = Drawdown
- ROI: profit result in USD / sum of all positions margin
- CalMAR Ratio: ROI / (-MaxDrawDown)
- Sharpe Ratio: ROI / standard deviation for (Sum of all Profits and Loses) / (Sum of all Position Margins)
This description was added because in metrics i don't use parameters like "The risk-free rate of return". Keep in mind how exactly this script calculate profit and perfomance when adjusting key criteria in the strategy switching parameters block of script settings
Strategies itself
For trading, you can enable or disable various Higher Timeframes Filters (ADX, volatility, technical rating).
With filters enabled, trades will only open when the setting parameters are reached
- Strategy number 1, 2 and 3: is Higher Timeframe TradingView Technical Ratings itself, 1 is summary total rating, 2 is oscillators and 3 is moving averages. When TR filter cross filter levels trade will be open at chart bar close. By Default on chart you see Summary Technical Rating oscillator, but here the options for change it to Oscillator TR or Moving Average TR
- Strategy number 4, 5 and 6: is Chart TimeFrame TR. Trades will open when its values (Summary, Oscillators and Moving Averages) reached setting buy sell level
- Strategy number 7, 8 and 9: is Alternative buy sell logic for Chart TimeFrame TR, trades will open when counting rising or falling values will be reached
- Strategies with number from 10 to 18: is chosen by user adaptive moving averages and oscillators indicators. There in settings you will see many different adaptive length algorithms for trading and different types of moving averages and oscillators. In tooltips in settings you will find very more information, and in settings you will see list of all indicators and algorithms (more than 30 variations). All adaptive strategies have their options in settings for calibrating and plotting
- Strategies with number from 19: its can't be chosen or calibarted, this is needed for avoid overfitting, i try to found mostly time worked strategies and use its with standard settings. In future it's possible to changing current or adding additional strategies. At the time of publication this script uses: Dynamic Swing HH LL (19), Composite indicator (20), %R Exhausting with different signals (21,22,23), Pivot Point SuperTrend (24), Ichimoku Cloud (25), TSI (26), Fib Level RSI (27). I don't plot classic strategies in this script
Let me explain, the value of this script is not in the strategies it includes, but in how exactly it collects the results of their work, how it filters the opening of trades, what risk management it applies and what strategy switching logic it performs. The system itself that you are now reading about represents the main value of this script
Finally if you get access for this script
- You will see many other not described options and possibilities like Kelly position or list of settings for adaptive strategies, also i added many usefull tooltips in script settings
Happy trading, and stay tuned for updates!
DISCLAIMER: No sharing, copying, reselling, modifying, or any other forms of use are authorized for this script, and the information published with them. This script is strictly for individual use. No one know future and Investments are always made at your own risk. I am not responsible for any losses you may incur. Please before investment make sure that chosen logic is enaugh profitable on virtual demo account.
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Cnagda Pure Price ActionCnagda Pure Price Action (CPPA) indicator is a pure price action-based system designed to provide traders with real-time, dynamic analysis of the market. It automatically identifies key candles, support and resistance zones, and potential buy/sell signals by combining price, volume, and multiple popular trend indicators.
How Price Action & Volume Analysis Works
Silver Zone – Logic, Reason, and Trade Planning
Logic & Visualization:
The Silver Zone is created when the closing price is the lowest in the chosen window and volume is the highest in that window.
Visually, a large silver-colored box/rectangle appears on the chart.
Thick horizontal lines (top and bottom) are drawn at the high and low of that candle/bar, extending to the right.
Reasoning:
This combination typically occurs at strong “accumulation” or support areas:
Sellers push the price down to the lowest point, but aggressive buyers step in with high volume, absorbing supply.
Indicates potential exhaustion of selling and likely shift in market control to buyers.
How to Plan Trades Using Silver Zone:
Watch if price returns to the Silver Zone in the future: It often acts as powerful support.
Bullish entries (buys) can be planned when price tests or slightly pierces this zone, especially if new buy signals occur (like yellow/green candle labels).
Place your stop-loss below the bottom line of the Silver Zone.
Target: Look for the nearest resistance or opposing zone, or use indicator’s bullish label as confirmation.
Extra Tip:
Multiple touches of the Silver Zone reinforce its importance, but if price closes deeply below it with high volume, that’s a caution signal—support may be breaking.
Black Zone – Logic, Reason, and Trade Planning (as CPPA):
Logic & Visualization:
The Black Zone is created when the closing price is the highest in the chosen window and volume is the lowest in that window.
Visually, a large black-colored box/rectangle appears on the chart, along with thick horizontal lines at the top (high) and bottom (low) of the candle, extending to the right.
Reasoning:
This combination signals a strong “distribution” or resistance area:
Buyers push the price up to a local high, but low volume means there is not much follow-through or conviction in the move.
Often marks exhaustion where uptrend may pause or reverse, as sellers can soon step in.
How to Plan Trades Using Black Zone:
If price revisits the Black Zone in the future, it often acts as major resistance.
Bearish entries (sells) are considered when price is near, testing, or slightly above the Black Zone—especially if new sell signals appear (like blue/red candle labels).
Place your stop-loss just above the top line of the Black Zone.
Target: Nearest support zone (such as a Silver Zone) or next indicator’s bearish label.
Extra Tip:
Multiple touches of the Black Zone make it stronger, but if price closes far above with rising volume, be cautious—resistance might be breaking.
Support Line – Logic, Reason, and Trade Planning (as Cppa):
Logic & Visualization:
The Support Line is a dynamically drawn dashed line (usually blue) that marks key price levels where the market has previously shown significant buying interest.
The line is generated whenever a candle forms a high price with high volume (orange logic).
The script checks for historical pivot lows, past support zones, and even higher timeframe (HTF) supports, and then extends a blue dashed line from that price level to the right, labeling it (sometimes as “Prev Support Orange, HTF”).
Reasoning:
This line helps you visually identify where demand has been strong enough to hold price from falling further—essentially a floor in the market used by professional traders.
If price approaches or re-tests this line, there’s a good chance buyers will defend it again.
How to Plan Trades Using Support Line:
Watch for price to approach the Support Line during down moves. If you see a bullish candlestick pattern, buy labels (yellow/green), or other indicators aligning, this can be a high-probability entry zone.
Great for planning stop-loss for long trades: place stops just below this line.
Target: Next resistance zone, Black Zone, or the top of the last swing.
Extra Tip:
Multiple confirmations (support line + Silver Zone + bullish label) provide powerful entry signals.
If price closes strongly below the Support Line with volume, be cautious—support may be breaking, and a trend reversal or deeper correction could follow.
Resistance Line – Logic, Reason, and Trade Planning (from CPPA):
Logic & Visualization:
The Resistance Line is a dynamically drawn dashed line (usually purple or red) that identifies price levels where the market has previously faced significant selling pressure.
This line is created when a candle reaches a high price combined with high volume (orange logic), or from a historical pivot high/resistance,
The script also tracks higher timeframe (HTF) resistance lines, labeled as “Prev Resistance Orange, HTF,” and extends these dashed lines to the right across the chart.
Reasoning:
Resistance Lines are visual markers of “supply zones,” where buyers previously failed, and sellers took control.
If the price returns to this line later, sellers may get active again to defend this level, halting the uptrend.
How to Plan Trades Using Resistance Line:
Watch for price to approach the Resistance Line during up moves. If you see bearish candlestick patterns, sell labels (blue/red), or bearish indicator confirmation, this becomes a strong shorting opportunity.
Perfect for placing stop-loss in short trades—put your stop just above the Resistance Line.
Target: Next support zone (Silver Zone) or bottom of the last swing.
If the price breaks above with high volume, avoid shorting—resistance may be failing.
Extra Tip:
Multiple resistances (Resistance Line + Black Zone + bearish label) make short signals stronger.
Choppy movement around this line often signals indecision; wait for a clear rejection before entering trades.
Bullish / Bearish Label – Logic, Reason, and Trade Planning:
Logic & Visualization:
The indicator constantly calculates a "Bull Score" and a "Bear Score" based on several factors:
Trend direction from price slope
Confirmation by popular indicators (RSI, ADX, SAR, CMF, OBV, CCI, Bollinger Bands, TWAP)
Adaptive scoring (higher score for each bullish/bearish condition met)
If Bull Score > Bear Score, the chart displays a green "BULLISH" label (usually below the bar).
If Bear Score > Bull Score, the chart displays a red "BEARISH" label (usually above the bar).
If neither dominates, a "NEUTRAL" label appears.
Reasoning:
The labels summarize complex price action and indicator analysis into a simple, actionable sentiment cue:
Bullish: Majority of conditions indicate buying strength; trend is up.
Bearish: Majority signals show selling pressure; trend is down.
How to Use in Trade Planning:
Use the Bullish label as confirmation to enter or hold long (buy) positions, especially if near support/Silver Zone.
Use the Bearish label to enter/hold short (sell) positions, especially if near resistance/Black Zone.
For best results, combine with candle color, volume analysis, or other labels (yellow/green for buys, blue/red for sells).
Avoid trading against these labels unless you have strong confluence from zones/support levels.
Yellow Label (Buy Signal) – Logic, Reason & Trade Planning:
Logic & Visualization:
The yellow label appears below a candle (label.style_label_up, yloc.belowbar) and marks a potential buy signal.
Script conditions:
The candle must be a “yellow candle” (which means it’s at the local lowest close, not a high, with normal volume).
Volume is decreasing for 2 consecutive candles (current volume < previous volume, previous volume < second previous).
When these conditions are met, a yellow label is plotted below the candle.
Reasoning:
This scenario often marks the end of selling pressure and start of possible accumulation—buyers may be stepping in as sellers exhaust.
Decreasing volume during a local price low means selling is slowing, possibly hinting at a reversal.
How to Trade Using Yellow Label:
Entry: Consider buying at/just above the yellow-labeled candle’s close.
Stop-loss: A bit below the candle’s low (or Silver Zone line, if present).
Target: Next resistance level, Black Zone, or chart’s bullish label.
Extra Tip:
If the yellow label is found at/near a Silver Zone or Support Line, and trend is “Bullish,” the setup gets even stronger.
Avoid trading if overall indicator shows “Bearish.”
Green Label (Buy with Increasing Volume) – Logic, Reason & Trade Planning:
Logic & Visualization:
The green label is plotted below a candle (label.style_label_up, yloc.belowbar) and marks a strong buy signal.
Script conditions:
The candle must be a “yellow candle” (at the local lowest close, normal volume).
Volume is increasing for 2 consecutive candles (current volume > previous volume, previous volume > second previous).
When these conditions are met, a green label is plotted below the candle.
Reasoning:
This scenario signals that buyers are stepping in aggressively at a local price low—the end of a downtrend with strong, rising activity.
Increasing volume at a price low is a classic sign of accumulation, where institutions or large players may be buying.
How to Trade Using Green Label:
Entry: Consider buying at/just above the green-labeled candle’s close for a momentum-based reversal.
Stop-loss: Slightly below the candle’s low, or the Silver Zone/support line if present.
Target: Nearest resistance zone/Black Zone, indicator’s bullish label, or next swing high.
Extra Tip:
If the green label is near other supports (Silver Zone, Support Line), the setup is extra strong.
Use confirmation from Bullish labels or trend signals for best results.
Green label setups are suitable for quick, high momentum trades due to increasing volume
Blue Label (Sell Signal on Decreasing Volume) – Logic, Reason & Trade Planning:
Logic & Visualization:
The blue label is plotted above a candle (label.style_label_down, yloc.abovebar) as a potential sell signal.
Script conditions:
The candle is a “blue candle” (local highest close, but not also lowest, and volume is neither highest nor lowest).
Volume is decreasing over 2 consecutive candles (current volume < previous, previous < two ago).
When these match, a blue label appears above the candle.
Reasoning:
This typically signals buyer exhaustion at a local high: price has gone up, but volume is dropping, suggesting big players may not be buying any more at these levels.
The trend is losing strength, and a reversal or pullback is likely.
How to Trade Using Blue Label:
Entry: Look to sell at/just below the candle with the blue label.
Stop-loss: Just above the candle’s high (or above the Black Zone/resistance if present).
Target: Nearest support, Silver Zone, or a swing low.
Extra Tip:
Blue label signals are stronger if they appear near Black Zones or Resistance Lines, or when the general market label is "Bearish."
As with buy setups, always check for confirmation from trend or volume before trading aggressively.
Blue Label (Sell Signal on Decreasing Volume) – Logic, Reason & Trade Planning:
Logic & Visualization:
The blue label is plotted above a candle (label.style_label_down, yloc.abovebar) as a potential sell signal.
Script conditions:
The candle is a “blue candle” (local highest close, but not also lowest, and volume is neither highest nor lowest).
Volume is decreasing over 2 consecutive candles (current volume < previous, previous < two ago).
When these match, a blue label appears above the candle.
Reasoning:
This typically signals buyer exhaustion at a local high: price has gone up, but volume is dropping, suggesting big players may not be buying any more at these levels.
The trend is losing strength, and a reversal or pullback is likely.
How to Trade Using Blue Label:
Entry: Look to sell at/just below the candle with the blue label.
Stop-loss: Just above the candle’s high (or above the Black Zone/resistance if present).
Target: Nearest support, Silver Zone, or a swing low.
Extra Tip:
Blue label signals are stronger if they appear near Black Zones or Resistance Lines, or when the general market label is "Bearish."
As with buy setups, always check for confirmation from trend or volume before trading aggressively.
Here’s a summary of all key chart labels, zones, and trading logic of your Price Action script:
Silver Zone: Powerful support zone. Created at lowest close + highest volume. Best for buy entries near its lines.
Black Zone: Strong resistance zone. Created at highest close + lowest volume. Ideal for short trades near its levels.
Support Line: Blue dashed line at historical demand; buyers defend here. Look for bullish setups when price approaches.
Resistance Line: Purple/red dashed line at supply; sellers defend here. Great for bearish setups when price nears.
Bullish/Bearish Labels: Summarize trend direction using price action + multiple indicator confirmations. Plan buys, holds on bullish; sells, shorts on bearish.
Yellow Label: Buy signal on decreasing volume and local price low. Entry above candle, stop below, target next resistance.
Green Label: Strong buy on increasing volume at a price low. Entry for momentum trade, stop below, target next zone.
Blue Label: Sell signal on dropping volume and local price high. Entry below candle, stop above, target next support.
Best Practices:
Always combine zone/label signals for higher probability trades.
Use stop-loss near zones/lines for risk management.
Prefer trading in the trend direction (bullish/bearish label agrees with your entry).
if Any Question, Suggestion Feel free to ask
Disclaimer:
All information provided by this indicator is for educational and analysis purposes only, and should not be considered financial advice.
Iron Condor Pro v6 – Full EngineIronCondor Engine v6.6 is a multi-mode options strategy tool for planning and managing iron condors, straddles, strangles, and butterflies. It supports both setup planning and live trade tracking with modeled delta, risk-based strike selection, IV rank estimation, and visual breach alerts.
Use Setup Mode to preview strike structures based on IV proxy, ATR, delta targeting, and risk tier (High/Mid/Low/Delta). Use Live Mode to track real trades, enter strike/premium data, and monitor live P&L, delta drift, and range status.
This script does not connect to live option chains. Volatility and delta are modeled using price history. All strikes and premiums must be confirmed using your broker before placing trades. Best used with strong support/resistance levels and high IV rank (30%+).
For educational purposes only.
Workflow Guide
Use this flow whether you're setting up on Sunday night or any day before placing a trade.
Step 0: Pre-Script Preparation
Before using the script:
Identify major support and resistance zones on your chart. Define the expected range or consolidation area. Use this context to help evaluate strike placement
1. Setup Phase (Pre-Trade Planning)
Step 1 – Load the Script
Add: IronCondor Engine v6.6 – Full Risk/Decay Edition to your chart
Step 2 – Set Mode = Setup
This enables planning mode, where the engine calculates strike combinations based on:
Your selected risk profile (High, Mid, Low, or Delta)
Historical volatility (20-day log return)
ATR (Average True Range)
Target short delta (adjustable)
Step 3 – Review Setup Table
Enable Show Setup Table to view calculated strikes and width by risk tier.
Adjust any of the following as needed:
Target Short Delta
Strike Interval ($)
Width multipliers (High/Mid/Low)
Risk tier under Auto-Feed Choice
Step 4 – Evaluate the Setup
Is the net credit at least 1.5–2.0x your max risk?
Are the short strikes clearly outside support/resistance zones?
Are the short deltas between 0.15 and 0.30?
Is the range wide enough to handle normal price movement?
Step 5 – Prep for Execution
Enable Auto-Feed Setup → Live to carry Setup strikes into Live mode
Or disable it if you prefer to manually enter strikes later
2. Trade Execution (Live Tracking Mode)
Step 1 – Place the Trade with Your Broker
Use your brokerage (TOS, Tasty, IBKR, etc.) to place the iron condor or other structure
Step 2 – Set Mode = Live
In Live mode:
If Auto-Feed is ON, the Setup strikes auto-populate
If Auto-Feed is OFF, manually enter:
Short and long strikes (Call and Put)
Premiums collected/paid per leg
Total net credit (Entry Credit)
Optional: Input current mid prices for each leg in the "Live Chain" section to track live mark-to-market P&L
Once all required fields are valid, the script activates:
Real-time profit/loss tracking
Max risk estimate
Delta monitoring on short legs
IV Rank estimate
Breach detection system
Chart visuals (if enabled)
3. Trade Management (During the Week)
While the trade is active, use the dashboard and visuals to monitor:
Key Metrics:
Unrealized P/L %
Mark-to-market value vs entry credit
Daily decay (theta)
Days until expiration
Breach status:
In Range
Near Breach
Breached
Alerts:
Price near short strike → suggests roll
Price breaches long strike → breach alert
50% or 75% profit → optional exit signal
Delta exceeds threshold → exposure may need adjustment
Management Tips:
At 50–75% profit: consider closing early
If price nears a short leg: roll, hedge, or manage
If nearing expiry: decide whether to hold or close
If IV collapses: may accelerate time decay or reduce exit value
4. End-of-Week or Expiration Management
If Profit Target Hit
Close early to reduce risk and lock gains
If Still Open Near Expiry
Close the position or
Hold through expiration only if you're fully prepared for pinning/gamma/assignment scenarios
Avoid holding open spreads over the weekend unless part of a defined strategy
Reference Notes
Strike Width
Defined as:
Width = Distance between Short and Long strike
Used for calculating max loss and breach visuals
Delta Guidelines
0.15–0.20 = safer, wider range, lower credit
0.25–0.30 = more aggressive, tighter range, higher credit
Use Target Short Delta input to adjust auto-selected strikes accordingly
Credit Example
Sell Call: $1.04
Sell Put: $0.23
Buy Call + Put wings: $0.14
Net Credit = $1.13 = $113 per contract (max profit)
This is the max profit if price stays between short strikes through expiration
IV Rank (Estimated)
This script does not use options chain IV data.
Instead, it calculates a volatility proxy:
ivRaw = ta.stdev(log returns, 20) * sqrt(252)
IV Rank is then calculated as the percentile of this value within the last 252 bars.
High IV Rank (30%–100%) → better premium-selling conditions
Low IV Rank (<30%) → lower edge for condors
Ideal to sell premium when IV Rank is above 30–50%
Disclosures and Limitations
This script is for educational use only
It does not connect to live option chains
All strikes, deltas, and premiums must be validated through your broker
Always confirm real-time IV, delta, and pricing before placing a trade
Market Cap Landscape 3DHello, traders and creators! 👋
Market Cap Landscape 3D. This project is more than just a typical technical analysis tool; it's an exploration into what's possible when code meets artistry on the financial charts. It's a demonstration of how we can transcend flat, two-dimensional lines and step into a vibrant, three-dimensional world of data.
This project continues a journey that began with a previous 3D experiment, the T-Virus Sentiment, which you can explore here:
The Market Cap Landscape 3D builds on that foundation, visualizing market data—particularly crypto market caps—as a dynamic 3D mountain range. The entire landscape is procedurally generated and rendered in real-time using the powerful drawing capabilities of polyline.new() and line.new() , pushed to their creative limits.
This work is intended as a guide and a design example for all developers, born from the spirit of learning and a deep love for understanding the Pine Script™ language.
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🧐 Core Concept: How It Works
The indicator synthesizes multiple layers of information into a single, cohesive 3D scene:
The Surface: The mountain range itself is a procedurally generated 3D mesh. Its peaks and valleys create a rich, textured landscape that serves as the canvas for our data.
Crypto Data Integration: The core feature is its ability to fetch market cap data for a list of cryptocurrencies you provide. It then sorts them in descending order and strategically places them onto the 3D surface.
The Summit: The highest point on the mountain is reserved for the asset with the #1 market cap in your list, visually represented by a flag and a custom emblem.
The Mountain Labels: The other assets are distributed across the mountainside, with their rank determining their general elevation. This creates an intuitive visual hierarchy.
The Leaderboard Pole: For clarity, a dedicated pole in the back-right corner provides a clean, ranked list of the symbols and their market caps, ensuring the data is always easy to read.
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🧐 Example of adjusting the view
To evoke the feeling of flying over mountains
To evoke the feeling of looking at a mountain peak on a low plain
🧐 Example of predefined colors
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🚀 How to Use
Getting started with the Market Cap Landscape 3D:
Add to Chart: Apply the "Market Cap Landscape 3D" indicator to your active chart.
Open Settings: Double-click anywhere on the 3D landscape or click the "Settings" icon next to the indicator's name.
Customize Your Crypto List: The most important setting is in the Crypto Data tab. In the "Symbols" text area, enter a comma-separated list of the crypto tickers you want to visualize (e.g., BTC,ETH,SOL,XRP ). The indicator supports up to 40 unique symbols.
> Important Note: This indicator exclusively uses TradingView's `CRYPTOCAP` data source. To find valid symbols, use the main symbol search bar on your chart. Type `CRYPTOCAP:` (including the colon) and you will see a list of available options. For example, typing `CRYPTOCAP:BTC` will confirm that `BTC` is a valid ticker for the indicator's settings. Using symbols that do not exist in the `CRYPTOCAP` index will result in a script error. or, to display other symbols, simply type CRYPTOCAP: (including the colon) and you will see a list of available options.
Adjust Your View: Use the settings in the Camera & Projection tab to rotate ( Yaw ), tilt ( Pitch ), and scale the landscape until you find a view you love.
Explore & Customize: Play with the color palettes, flag design, and other settings to make the landscape truly your own!
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⚙️ Settings & Customization
This indicator is highly customizable. Here’s a breakdown of what each setting does:
#### 🪙 Crypto Data
Symbols: Enter the crypto tickers you want to track, separated by commas. The script automatically handles duplicates and case-insensitivity.
Show Market Cap on Mountain: When checked, it displays the full market cap value next to the symbol on the mountain. When unchecked, it shows a cleaner look with just the symbol and a colored circle background.
#### 📷 Camera & Projection
Yaw (°): Rotates the camera view horizontally (side to side).
Pitch (°): Tilts the camera view vertically (up and down).
Scale X, Y, Z: Stretches or compresses the landscape in width, depth, and height, respectively. Fine-tune these to get the perfect perspective.
#### 🏞️ Grid / Surface
Grid X/Y resolution: Controls the detail level of the 3D mesh. Higher values create a smoother surface but may use more resources.
Fill surface strips: Toggles the beautiful color gradient on the surface.
Show wireframe lines: Toggles the visibility of the grid lines.
Show nodes (markers): Toggles the small dots at each grid intersection point.
#### 🏔️ Peaks / Mountains
Fill peaks volume: Draws vertical lines on high peaks, giving them a sense of volume.
Fill peaks surface: Draws a cross-hatch pattern on the surface of high peaks.
Peak height threshold: Defines the minimum height for a peak to receive the fill effect.
Peak fill color/density: Customizes the appearance of the fill lines.
#### 🚩 Flags (3D)
Show Flag on Summit: A master switch to show or hide the flag and emblem entirely.
Flag height, width, etc.: Provides full control over the dimensions and orientation of the flag on the highest peak.
#### 🎨 Color Palette
Base Gradient Palette: Choose from 13 stunning, pre-designed color themes for the landscape, from the classic SUNSET_WAVE to vibrant themes like NEON_DREAM and OCEANIC .
#### 🛡️ Emblem / Badge Controls
This section gives you granular control over every element of the custom emblem on the flag. Tweak rotation, offsets, and scale to design your unique logo.
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👨💻 Developer's Corner: Modifying the Core Logic
If you're a developer and wish to customize the indicator's core data source, this section is for you. The script is designed to be modular, making it easy to change what data is being ranked and visualized.
The heart of the data retrieval and ranking logic is within the f_getSortedCryptoData() function. Here’s how you can modify it:
1. Changing the Data Source (from Market Cap to something else):
The current logic uses request.security("CRYPTOCAP:" + syms.get(i), ...) to fetch market capitalization data. To change this, you need to modify this line.
Example: Ranking by RSI (14) on the Daily timeframe.
First, you'll need a function to calculate RSI. Add this function to the script:
f_getRSI(symbol, timeframe, length) =>
request.security(symbol, timeframe, ta.rsi(close, length))
Then, inside f_getSortedCryptoData() , find the `for` loop that populates the `caps` array and replace the `request.security` call:
// OLD LINE:
// caps.set(i, request.security("CRYPTOCAP:" + syms.get(i), timeframe.period, close))
// NEW LINE for RSI:
// Note: You'll need to decide how to format the symbol name (e.g., "BINANCE:" + syms.get(i) + "USDT")
caps.set(i, f_getRSI("BINANCE:" + syms.get(i) + "USDT", "D", 14))
2. Changing the Data Formatting:
The ranking values are formatted for display using the f_fmtCap() function, which currently formats large numbers into "M" (millions), "B" (billions), etc.
If you change the data source to something like RSI, you'll want to change the formatting. You can modify f_fmtCap() or create a new formatting function.
Example: Formatting for RSI.
// Modify f_fmtCap or create f_fmtRSI
f_fmtRSI(float v) =>
str.tostring(v, "#.##") // Simply format to two decimal places
Remember to update the calls to this function in the main drawing loop where the labels are created (e.g., str.format("{0}: {1}", crypto.symbol, f_fmtCap(crypto.cap)) ).
By modifying these key functions ( f_getSortedCryptoData and f_fmtCap ), you can adapt the Market Cap Landscape 3D to visualize and rank almost any dataset you can imagine, from technical indicators to fundamental data.
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We hope you enjoy using the Market Cap Landscape 3D as much as we enjoyed creating it. Happy charting! ✨
TZtraderTZtrader
This is a TrendZones version with features to set stoploss and targets in short and long positions meant for use in intraday charts. It aims to provide signals for opening and closing long and short positions. In the comments under the TrendZones publication several people expressed a need for features for a short position similar to those for a long position as implemented in TrendZones, some want to use it for scalping, some asked for alerts. When I proposed to create a version for day trading with target lines based on ATR, several people liked the idea.
Full disclosure: I don’t do day trading, because, after I lost a lot of money, I had to promise my wife to stay away from it. I restrict myself to long term investing in stocks which are in uptrend. However I understand what a day trader needs. I gather from my experience that day trading or scalping is an attempt to earn something by opening a position in the morning and close, reopen and close it again during the day with a profit. It is usually done with leveraged instruments like CFD’s, futures, options, and what have you. Opening and closing positions is done within minutes, so the trader needs a quick and efficient way to set proper stoploss and target. TZtrader supports this by showing only three or four numbers on the price bar: The price of the instrument, The logical stop level (gray or green or maroon dots), and the target level (navy). All other numbers are suppressed to prevent mistakes. Also a clear feedback for current settings at the top-center of the pane and an alert feedback at bottom that flashes alerts during the development of the current bar and gives suppression status.
The script
First I made a bare bones version of TrendZones to which I added code for long and short trading setups and a bare setup for no position. The code for the logical stops in long setup had to be reviewed, after which this became the basis for stops in short setup.
Then I added code for 10 alert messages, which was a hassle, because this is the first time I coded alerts and the first time I used an array as a stack to avoid a complicated if-then construction. During testing the array caused a runtime error which I solved by adding ‘array.clear’ to the code, also I discovered that in TradingView separate alerts have to be created for all three setups - short, long and bare. Flipping setups is done in the inputs with a dropdown menu because Pine Script has no function for a clickable button.
One visual with three setups.
The visual has the TrendZones structure: Three near parallel very smooth curves, which border the moderate uptrend (green) and downtrend (orange) zone over and under the curve in the middle, the COG (Center Of Gravity). Where the price breaks out of these curves, strong trend zones show up over and under the curves, respectively strong uptrend (blue) and strong downtrend (red).
Three setups were made clearly different to avoid confusion and to provide oversight in case of multiple trades going on simultaneously which I imagine are monitored in one screen. You have to see which one is long, which short and which have no position. The long setup should not trigger short signals, nor should the short trigger long signals nor the bare setup exclusive long or short signals.
The Long setup is default, shown on the example chart. In this setup the Stoploss suggestions (green, gray and maroon dots) are under the price bars and the target line (navy) at a set distance above the High Border. A zone with a width of 1 ATR is drawn under the Low Border. In this setup 5 specific alerts are provided
The Short setup has the Stoploss suggestions over the price bars, the target line at a set distance under the Low Border. A zone with a width of 1 ATR is drawn above the High Border. This setup also has 5 specific alerts.
The Bare setup has no Stoploss suggestions, no target line and supports 4 alerts, 2 in common with the Long setup and 2 with Short.
The table below gives a summary of scripted alerts:
Setup = Where = When = Purpose
Long, Bare = Green Zone = Bars come from lower zones = Uptrend starts
Long, Bare = Green Zone = Sideways ends in uptrend = Uptrend resumes
Long = COG = First crossing = Uptrend might end warning
Long = Orange Zone = Bars come from higher zones = Uptrend ended take care
Long = Red Zone = Bars come from higher zones = Strong downtrend->close Long
Short, Bare = Orange Zone = Bars come from higher zones = Downtrend starts
Short, Bare = Orange Zone = Sideways ends in downtrend = Downtrend resumes
Short = COG = First crossing = Downtrend might end warning
Short = Green Zone = Bars come from lower zones = Downtrend ended take care
Short = Blue Zone = Bars come from lower zones = Strong uptrend -> close short
You can use script alerts in TradingView by clicking the clock in the sidebar, then ‘create alert’ or plus, as condition you choose ‘Tztrader’ in the dialog box, then the “Any alert() function call” option (the first item in the list). The script lets the valid alert trigger by TradingView after the bar is completed, this can differ from the flashed messages during its formation.
When you create alerts in Tradingview, I advice to do that for each setup, then to make only the alert active which matches the current setup, pause the other ones.
Suppressing false and annoying signals
The script has two ways to suppress such signals, which have to do with the numbers in the alert feedback. The numbers left and right of the message with a colored background, depict the zones in which the previous (left) and current (right) bar move. 1 is the strong downtrend zone (red), 2 the moderate downtrend zone (orange), 3 the sideways zones (gray), 4 the COG (gray), 5 the moderate uptrend zone (green), 6 the strong uptrend zone (blue), 7 something went wrong with assigning a zone (black). In extensive testing the number 7 never occurs, because I catch that error in the code. The idea is that an alert is only triggered if the previous bar was in a different zone. When the bars are in the same zone, no alert is possible. This way all annoying signals are suppressed and long, short and bare get the appropriate alerts.
The third number is a counter. It counts how often the COG is crossed without touching the outer curves. The counter will reset to zero when the upper or lower curve is touched. When the count is 1 you have zone situation 4 and appropriate alerts are flashed. When the count is 2 or higher, a sideways situation (3) is called and while the recrossings are going on, no alerts can be flashed. This suppresses false signals. The ATR zone and curves are brownish-gray where sideways happens(ed). When the channel is narrowed down to just the three curves, some false signals still might occur.
Inputs
“Setup”, default is long, drop down menu provides long, short and bare.
“Target ATR”, default is 2, sets the amount of ATR for the target line. In 1 minute charts 4 seems an appropriate setting, you have to learn by experience which setting works.
“show feedback …” default is on, This creates two feedback labels, a Setup feedback on top of the pane, which shows charted instrument, Setup type, Trend and timeframe of the chart. Background color of Trend feedback is green when it matches the setup, red when mismatches and gray when no match. The alert feedback at the bottom of the pane shows a number, a message and two numbers. The numbers will be explained in the chapter about false and annoying signals below. During formation of the bar, valid alerts are flashed with a blue background, otherwise the message ‘alerts for current bar suppressed’.
Logical Stops
The curves are the logical place to put stops, because, as these are averages of the high and low border of a Donchian channel, they signify the ‘natural’ current highest, lowest and main level in the lookback period that fit the monitored trend setup. A downtrend turns into an uptrend when a breakout of the upper curve occurs. If you are short, that is where you want to close position, so the logical place for the stoploss is the upper curve. Vice versa, when you are long, the logical stop is on the lower curve. The stops show up as green or gray dots on the curves, the green dots signify a nice entry level, the gray stops are there to suggest levels where unrealized profits might be secured, the maroon dots indicate that the trend mismatches the setup.
COG versus other lines
Any line used to identify a trend, be it some MA or some other line, is interpreted the same way: When the bars move above the line there is an uptrend and when below, a downtrend. COG is not different in that sense. If you put such a line in the same chart as TZtrader, you can see situations in which the other line shows uptrend or downtrend earlier than COG, also some other lines, e.g. Hull MA, are very good at showing tops and bottoms, while COG ignores these. On the other hand the other lines are usually a little nervous and let you shake out of position too soon. Just like the other lines, COG gives false signals when it is near horizontal. The advantage of the placement COG is the tolerance for pull backs. This way TZtrader keeps you longer in the trend. Such pull backs are often ‘flags’ which are interpreted in TA as confirming the trend. Tztrader aims to get you in position reasonably soon when a trend begins and out of position as soon as the trend turns against you. The placement of COG is done with a fundamentally different algorithm than other lines as it is not an average of prices, but the middle of two averages of borders of a Donchian channel. This gives the two zones between the curves the same quality as the two zones above and below the middle line of a standard Donchian Channel.
A multi timeframe application.
In this scenario you put a 5 minutes and 1 minute chart with Tztrader side by side. If the 5 minutes shows uptrend, set the 1 minute on long trading and open positions when the trend matches uptrend en close when it mismatches. Don’t open short positions. Once the 5 minute changes to downtrend, set Tztrader in the 1 minute to short trading and open positions when the trend matches downtrend and close when it mismatches.
The idea is that in a long ‘context’, provided by the 5 minutes, the uptrends in the 1 minute will last longer and go further, vice versa for the short ‘context’. This way you do swing trading in the 5 minute in a smart way, maximizing profits.
You can do this with any timeframe pairs with a proportion of around 5:1, 4:1, 6:1, like e.g. 60 minutes and 15 minutes or weeks and days (5 trading days in a week).
Dear day-traders, may this tool be helpful and may your days be blessed.
Take care
DR-SK A B C SK A B C - Target and Stop Loss Indicator for Trading
The "SK A B C" script is an advanced technical analysis tool designed to identify price targets and stop loss levels based on three input points (A, B, C) on the chart. The script calculates four potential targets (E, N, V, NT) based on the movement between the points, allowing for customization to suit different trading strategies. It also supports various stop loss methods, including Fixed Percentage, ATR-Based, and Swing High/Low.
Key Features:
Target Calculation (E, N, V, NT): The script calculates and displays potential targets (E, N, V, NT) based on the price movement between the input points (A, B, C).
Stop Loss Options:
Fixed Stop Loss: Based on a percentage of the price.
ATR-Based Stop Loss: Uses the Average True Range (ATR) for calculating the stop loss level.
Swing High/Low Stop Loss: Based on the most recent swing high or low.
Display Targets with Labels: Displays targets clearly on the chart, with options for price labels and boxes around the targets.
Full Customization: Customize colors, lines, and labels to fit your personal preferences.
Real-Time Alerts: Set up alerts to notify you when the price hits a target or stop loss level.
Summary Results Display: A table that shows the targets along with their prices and percentage distance from the current price.
How to Use the Script:
Set Input Points: Select three points (A, B, C) on the chart. The script will calculate the targets based on these points.
Choose Stop Loss Method: Select your preferred stop loss method (Fixed, ATR-Based, Swing High/Low).
Customize the Display: Customize the chart’s appearance by adjusting colors and other options.
Set Alerts: Enable alerts to be notified when the price reaches the targets or stop loss levels.
Notes:
The script follows basic technical analysis principles and helps traders accurately determine potential price targets using input points.
It provides flexibility through customizable stop loss methods and target options, making it a versatile and user-friendly tool.
FeraTrading Compression Flow v1🧠 Overview:
The FeraTrading Compression Flow v1 identifies moments in the market where volatility contracts and directional momentum builds beneath the surface. It detects when price compresses into a tight range, then confirms when momentum, volatility, and trend alignment combine to signal a high-probability breakout. Once all conditions are met, the indicator activates a persistent directional bias, shown visually with colored dynamic bands.
This isn’t just another squeeze or Bollinger-style compression indicator—it adds multi-layered confirmation logic and unique bias persistence mechanics, helping traders stay aligned with trend-based breakout phases rather than just spotting volatility drops.
⚙️ How It Works:
🔹 Volatility Compression Detection:
Uses a relative ATR filter to detect when the market is in contraction.
Compares short-term range behavior to a longer-term average using a customizable multiplier.
Avoids standard band-width logic (like BB/KC), instead relying on raw candle volatility for more adaptive compression detection.
🔹 Breakout Confirmation Logic:
A breakout is confirmed only when all of the following align:
Strong Candle Body: Filters out indecision bars and ensures clear directional intent.
EMA Trend Structure: Fast EMA must be properly aligned with the slow EMA, and price must close beyond the fast EMA in the breakout direction.
Range Burst: Breakout candle must exceed historical range norms, confirming an actual volatility expansion—not a false breakout.
Each layer is required—no single condition is enough—creating a highly selective confirmation system that filters out noise.
🔹 Bias Persistence Mechanism:
Once a valid breakout is confirmed, the script activates a persistent directional bias (bullish or bearish).
The bias does not flip unless an opposing breakout confirms.
This eliminates premature resets and allows traders to hold trend alignment visually until true reversal conditions are met.
🎨 Visual Behavior:
📈 Band Calculations:
Bands are drawn using smoothed highs and lows, plus or minus a scaled ATR-based buffer.
They adjust dynamically to both price scale and volatility, expanding and contracting naturally with the market.
🎨 Band Coloring:
Green bands = Bullish breakout confirmed
Red bands = Bearish breakout confirmed
No color = Compression detected, but no directional breakout yet
These are not support/resistance levels. They are momentum flow visualizations, providing a clean, unobtrusive way to track trend phases post-compression.
💡 What Makes It Unique:
Multi-confirmation logic: Combines compression, candle strength, trend direction, and volatility surge into one system.
Bias memory: Maintains directional bias until structurally invalidated—not just until the next indecisive bar.
Volatility-scaled bands: Makes this system flexible across all assets and timeframes, without constant tweaking.
No lagging oscillators: Instead of using MACD/RSI, it reads real-time momentum through body-to-range relationships and EMA stacking.
Minimal input, maximum output: With only two adjustable inputs, the script remains simple to deploy while offering deep contextual information.
✅ How to Use It:
Add the indicator to any chart (15m and lower preferred).
Watch for band color changes:
Green = Bullish breakout phase
Red = Bearish breakout phase
Use band direction as a trend alignment filter.
Avoid trading against active bias unless part of a confirmed reversal setup.
Adjust the Input Multiplier to fine-tune compression strictness (lower = stricter, higher = more permissive).
This indicator is especially useful following periods of consolidation and works well when layered with structure, supply/demand zones, or volume overlays.
💎 Why It’s Worth Paying For
The FeraTrading Compression Flow v1 offers a uniquely structured approach to breakout detection. While most compression indicators only highlight low-volatility zones, this script confirms breakouts through confluence, activates persistent bias, and provides a visual flow overlay that dynamically adjusts to the market.
Key distinctions include:
A custom ATR-based compression filter that adapts to any asset
Breakout confirmation from price structure, EMAs, and body dominance
A bias persistence engine that filters out false flips and maintains trend visibility
Dynamic bands that scale based on both price and volatility—not just moving averages
This combination cannot be replicated with built-in indicators or open-source scripts. It reflects real trade experience, structural logic, and volatility awareness built into a visual format designed to reduce overtrading and improve signal trust.
✅ Compliance & Originality
This script was built entirely in-house using original logic. Every calculation—from compression detection to bias activation—is proprietary and coded from scratch. No open-source libraries or reused components are present. Band rendering, bias conditions, and signal architecture were designed specifically for this model. EMA's and ATR were used in filter logic, yet they are only 2 of many filters used, all of the others being fully custom built.
The script uses no external data sources and is built entirely on native Pine Script logic.
⚠️ Risk Disclaimer & Access Policy
This tool is a visual momentum and structure tracking overlay. It does not predict future price movement and should not be used in isolation to make trading decisions. Always apply proper risk management, position sizing, and market awareness.
Past performance does not guarantee future results.
🔒 Why This Script Is Invite-Only and Closed-Source
The compression detection logic, multi-step breakout confirmation, and persistent bias engine represent proprietary intellectual property developed for high-clarity directional tracking.
Releasing this logic would expose the core detection methods to copycats and diminish its edge. Access is restricted to protect:
The custom compression logic
The confluence-based breakout filters
The bias state engine and dynamic band visualizations
Closed-source protection ensures this tool retains its uniqueness and value for serious traders.
Liquidity Sweep Trap Alert (Improved)Detects high-conviction “liquidity sweep” traps (false breakouts) by comparing price against recent swing highs/lows, applying a wick-size filter and a cooldown period so that only meaningful reversal wicks trigger signals.
Shows labels on the chart and provides alert conditions when a trap occurs.
How It Works (Core Concept)
Swing High / Low Sweep
The script looks back a user-defined number of bars (Lookback Period) to identify the most recent swing high and swing low (excluding the current forming bar).
A Bull Trap is identified when price’s high exceeds that swing high intrabar but the candle closes back below it.
A Bear Trap is identified when price’s low dips below that swing low intrabar but the candle closes back above it.
Wick-Size Filter
To avoid tiny “micro-sweeps,” the script measures the length of the reversal wick (the distance beyond the swing high or below the swing low) as a percentage of the bar’s total range.
Only if this wick percentage ≥ Min Wick/Range % does the raw trap condition qualify for further consideration.
Cooldown Mechanism
After a trap fires, the same type of trap (bull or bear) is suppressed for a specified number of bars (Cooldown Bars).
This prevents back-to-back signals in choppy conditions and ensures each trap has breathing room before the next.
Confirmed on Close
Signals only trigger once the bar has closed (barstate.isconfirmed), eliminating “ghost” signals that flash intrabar and then vanish.
Chart Labels & Alerts
When a trap is confirmed, a label (“Trap ↑” for bull, “Trap ↓” for bear) is plotted above/below the bar (toggleable via Show Trap Labels).
Built-in alertcondition calls allow users to create native TradingView alerts tied to these confirmed traps.
Inputs & Usage
Lookback Period (bars)
Defines how many bars back to compute the recent swing high/low.
Shorter values catch more frequent, smaller swings; longer values focus on larger pivots.
Show Trap Labels
Toggle on/off the on-chart label markers.
Cooldown Bars
Number of bars to wait after a trap fires before allowing the same trap type again.
Higher values reduce signal frequency; set lower if you want more frequent triggers.
Min Wick/Range %
Minimum required wick length (beyond the swing level) as a percentage of that bar’s high–low range.
Increase to filter out weak or noise-driven sweeps; decrease if you want to capture smaller reversals.
Recommended Settings & Markets
Timeframes: Works on any timeframe (e.g., 5m, 15m, 1h, daily). Adjust inputs per instrument volatility.
Crypto (e.g., BTC): Typical starting values might be Lookback = 10, Min Wick % = 0.10–0.20, Cooldown = 3–5 bars.
Equities / Indices (e.g., Nifty, Bank Nifty): Use higher Min Wick % (e.g., 0.30–0.50) and adjust volume-based filters externally. Cooldown may be 3–5 bars on daily charts.
Testing: Always backtest or visually review sample signals before live trading. Tune Lookback and Min Wick % to balance hit-rate vs. false positives.
Originality & What Makes It Different
Beyond Simple Breakout Alerts: Instead of alerting on any breakout, this indicator specifically looks for false breakouts (liquidity sweeps) where smart money may trap retail stops.
Wick-Size Threshold: Many scripts flag any high above a swing high; here, the reversal wick must be a configurable percentage of the bar’s range, filtering out minor spikes.
Cooldown Logic: Prevents repeated signals in tight ranges, unlike basic breakout or pivot indicators that may fire repeatedly.
Confirmed on Close: Eliminates intrabar flicker signals, ensuring each alert is based on a completed bar.
Lightweight & Self-Contained: No external dependencies; works standalone on the chart. Users can hook native TradingView alerts to these conditions.
How to Use
Add to Chart: Apply the published script; no need for additional overlays.
Configure Inputs: Open settings and set:
Lookback Period to match swing size you target.
Min Wick/Range % to filter out small reversals.
Cooldown Bars so signals aren’t clustered.
Toggle Show Trap Labels on/off.
Set Alerts: In TradingView Alerts, choose “Bull Trap Detected” or “Bear Trap Detected” as the condition.
Interpret Signals:
Bull Trap: Price tried to break above a recent high but failed—potential short opportunity or exit long.
Bear Trap: Price tried to break below a recent low but failed—potential long opportunity or exit short.
Combine with Risk Management: Always apply your own stop-loss and take-profit rules; use the trap signal as one element of your trade decision.
Chart Examples & Annotations
Clean Example Chart: Display only this indicator on the chart using default inputs or example settings.
Annotation Guidance: If you include manual drawings in screenshots, clearly explain:
“Red label marks the bar where price spiked above the 10-bar swing high, closed below it with wick ≥ 10% of range, and no prior bull trap in last 5 bars → Bull Trap.”
Avoid unrelated scripts or decorative drawings that aren’t described.
Disclaimer
Not Financial Advice: Signals indicate potential reversal setups but do not guarantee outcomes. Trade at your own risk.
Use Proper Risk Management: Always define stop-loss, position size, and consider market context.
Test Before Live: Review historical signals and backtest manually or via strategy tester if possible.
Enhanced TEMA with Decimal PeriodsImagine you have a special type of moving average line called a TEMA (Triple
Moving Average). A TEMA is designed to be even quicker to react to price changes than a regular EMA (Exponential Moving Average), helping traders spot trends faster.
What this script does:
Super-Precise TEMA Length:
Normally, when you set the "length" or "period" for a moving average, you use whole numbers (like 10 days, 20 days).
This script lets you be more precise and use decimal numbers for the TEMA's length (like 26.0 days, or even 26.7 days). This allows for very fine-tuning.
How it gets the "Decimal" EMA part (if you choose to use it):
If you want a TEMA with a length of, say, 26.7:
The script first needs to calculate EMAs with a length of 26.7.
To do this, it cleverly calculates two regular EMAs: one with a length of 26 and another with a length of 27 (the whole numbers just below and above 26.7).
Then, it blends these two EMAs. Since 26.7 is closer to 27, it takes more from the "27-period EMA" and a bit less from the "26-period EMA." This mix gives you an EMA that acts like it has a 26.7 period.
Building the TEMA:
A TEMA isn't just one EMA. It's made by taking an EMA of an EMA, and then an EMA of that. It's like smoothing the line multiple times, but in a special mathematical way to make it faster.
So, this script:
-Calculates the first "decimal EMA" (e.g., for 26.7).
-Calculates another "decimal EMA" of that first EMA line (again, using 26.7).
-Calculates a third "decimal EMA" of the second EMA line (still using 26.7).
Finally, it combines these three EMAs using a special TEMA formula to get the final, quick-reacting TEMA line.
Option to Switch Off Decimals:
There's a setting ("Use Decimal Periods"). If you turn this off, the script will just use regular whole-number EMAs to build the TEMA (it will round down your decimal input, so 26.7 would become 26).
Plotting:
The final "Enhanced TEMA" line is drawn on your price chart.
In Simple Terms:
This script gives you a TEMA (a fast-moving average) that you can set up with very precise decimal lengths (like 26.7 instead of just 26 or 27).
It does this "decimal magic" by smartly blending two regular EMAs. You can also choose to use it like a normal TEMA with whole numbers if you prefer. The goal is to give traders a very responsive trend-following line that can be fine-tuned to a high degree of precision.
S/R with Multi-Indicator ConsensusThis script identifies key support and resistance levels by analyzing consensus across multiple technical indicators. Here's how it works:
Core Concept
The script monitors 14 different technical indicators simultaneously, looking for areas where most indicators agree on potential reversal points. When a strong consensus emerges (over 60% agreement by default), it marks these price levels as significant support or resistance zones.
Indicator Analysis
The script uses an advanced "harmonic convergence" technique that examines:
Momentum indicators (RSI, Stochastic, Williams %R)
Volume-based indicators (OBV, MFI)
Trend indicators (MACD, WaveTrend)
Volatility measures (ATR, Bollinger Bands)
Special proprietary oscillators (RVI, Ultimate Oscillator)
Each indicator is normalized to a 0-100 scale for consistent comparison. The script then applies a "quantum weighting" algorithm that gives more importance to indicators showing extreme readings.
Support/Resistance Identification
When multiple indicators simultaneously reach overbought or oversold conditions near the same price level, the script:
Records these "harmonic convergence points"
Applies volume-based weighting (heavier volume = stronger level)
Uses time decay to fade older, less relevant levels
Groups nearby levels using a proprietary "price magnetism" algorithm
Visual Features
Colored Lines: Red for resistance, green for support
Line Styles: Solid (strong), dashed (medium), dotted (weak)
Dynamic Width: Thicker lines indicate stronger consensus
Info Labels: Show price, strength percentage, and touch count
Info Table: Displays key statistics in the corner
In this script, "Consensus Type" refers to whether the majority of indicators are signaling a potential support (oversold) or resistance (overbought) level.
How It Works:
The script checks multiple normalized indicators (RSI, Stochastic, MACD, OBV, etc.) to see if they are in overbought (OB) or oversold (OS) zones.
It calculates a consensus score (0% to 100%) based on how many indicators agree:
Type = 1 → Most indicators are in overbought (resistance likely).
Type = -1 → Most indicators are in oversold (support likely).
Type = 0 → No clear consensus (neutral).
The strength of the signal depends on the consensus score (higher = stronger level).
Example:
If RSI, Stochastic, and MACD are all in overbought territory (above ob_threshold), the script detects a Type 1 (Resistance).
If Williams %R, CCI, and OBV are oversold (below os_threshold), it detects a Type -1 (Support).
Why It Matters:
Helps traders identify high-probability reversal zones.
Filters out weak levels where indicators don’t agree.
Works alongside volume weighting & time decay to prioritize the strongest S/R levels.
The Info Table in the top-right corner shows the current Consensus Type (1, -1, or 0) and its strength (e.g., 75% means 75% of indicators agree on resistance/support).
[blackcat] L1 Multi-Component CCIOVERVIEW
The " L1 Multi-Component CCI" is a sophisticated technical indicator designed to analyze market trends and momentum using multiple components of the Commodity Channel Index (CCI). This script calculates and combines various CCI-related metrics to provide a comprehensive view of price action, offering traders deeper insights into market dynamics. By integrating smoothed deviations, normalized ranges, and standard CCI values, this tool aims to enhance decision-making processes. It is particularly useful for identifying potential reversal points and confirming trend strength. 📈
FEATURES
Multi-Component CCI Calculation: Combines smoothed deviation, normalized range, percent above low, and standard CCI for a holistic analysis, providing a multifaceted view of market conditions.
Threshold Lines: Overbought (200), oversold (-200), bullish (100), and bearish (-100) thresholds are plotted for easy reference, helping traders quickly identify extreme market conditions.
Visual Indicators: Each component is plotted with distinct colors and line styles for clear differentiation, making it easier to interpret the data at a glance.
Customizable Alerts: The script includes commented-out buy and sell signal logic that can be enabled for automated trading notifications, allowing traders to set up alerts based on specific conditions. 🚀
Advanced Calculations: Utilizes a combination of simple moving averages (SMA) and exponential moving averages (EMA) to smooth out price data, enhancing the reliability of the indicator.
HOW TO USE
Apply the Script: Add the script to your chart on TradingView by searching for " L1 Multi-Component CCI" in the indicators section.
Observe the Plotted Lines: Pay close attention to the smoothed deviation, normalized range, percent above low, and standard CCI lines to identify potential overbought or oversold conditions.
Use Threshold Levels: Refer to the overbought, oversold, bullish, and bearish threshold lines to gauge extreme market conditions and potential reversal points.
Confirm Trends: Use the standard CCI line to confirm trend direction and momentum shifts, providing additional confirmation for your trading decisions.
Enable Alerts: If desired, uncomment the buy and sell signal logic to receive automated alerts when specific conditions are met, helping you stay informed even when not actively monitoring the chart. ⚠️
LIMITATIONS
Fixed Threshold Levels: The script uses fixed threshold levels (200, -200, 100, -100), which may need adjustment based on specific market conditions or asset volatility.
No Default Signals: The buy and sell signal logic is currently commented out, requiring manual activation if you wish to use automated alerts.
Complexity: The multi-component approach, while powerful, may be complex for novice traders to interpret, requiring a solid understanding of technical analysis concepts. 📉
Not for Isolation Use: This indicator is not designed for use in isolation; it is recommended to combine it with other tools and indicators for confirmation and a more robust analysis.
NOTES
Smoothing Techniques: The script uses a combination of simple moving averages (SMA) and exponential moving averages (EMA) for smoothing calculations, which helps in reducing noise and enhancing signal clarity.
Multi-Component Approach: The multi-component approach aims to provide a more nuanced view of market conditions compared to traditional CCI, offering a more comprehensive analysis.
Customization Potential: Traders can customize the script further by adjusting the parameters of the moving averages and other components to better suit their trading style and preferences. ✨
THANKS
Thanks to the TradingView community for their support and feedback on this script! Special thanks to those who contributed ideas and improvements, making this tool more robust and user-friendly. 🙏
Canuck Trading IndicatorOverview
The Canuck Trading Indicator is a versatile, overlay-based technical analysis tool designed to assist traders in identifying potential trading opportunities across various timeframes and market conditions. By combining multiple technical indicators—such as RSI, Bollinger Bands, EMAs, VWAP, MACD, Stochastic RSI, ADX, HMA, and candlestick patterns—the indicator provides clear visual signals for bullish and bearish entries, breakouts, long-term trends, and options strategies like cash-secured puts, straddles/strangles, iron condors, and short squeezes. It also incorporates 20-day and 200-day SMAs to detect Golden/Death Crosses and price positioning relative to these moving averages. A dynamic table displays key metrics, and customizable alerts help traders stay informed of market conditions.
Key Features
Multi-Timeframe Adaptability: Automatically adjusts parameters (e.g., ATR multiplier, ADX period, HMA length) based on the chart's timeframe (minute, hourly, daily, weekly, monthly) for optimal performance.
Comprehensive Signal Generation: Identifies short-term entries, breakouts, long-term bullish trends, and options strategies using a combination of momentum, trend, volatility, and candlestick patterns.
Candlestick Pattern Detection: Recognizes bullish/bearish engulfing, hammer, shooting star, doji, and strong candles for precise entry/exit signals.
Moving Average Analysis: Plots 20-day and 200-day SMAs, detects Golden/Death Crosses, and evaluates price position relative to these averages.
Dynamic Table: Displays real-time metrics, including zone status (bullish, bearish, neutral), RSI, MACD, Stochastic RSI, short/long-term trends, candlestick patterns, ADX, ROC, VWAP slope, and MA positioning.
Customizable Alerts: Over 20 alert conditions for entries, exits, overbought/oversold warnings, and MA crosses, with actionable messages including ticker, price, and suggested strategies.
Visual Clarity: Uses distinct shapes, colors, and sizes to plot signals (e.g., green triangles for bullish entries, red triangles for bearish entries) and overlays key levels like EMA, VWAP, Bollinger Bands, support/resistance, and HMA.
Options Strategy Signals: Suggests opportunities for selling cash-secured puts, straddles/strangles, iron condors, and capitalizing on short squeezes.
How to Use
Add to Chart: Apply the indicator to any TradingView chart by selecting "Canuck Trading Indicator" from the Pine Script library.
Interpret Signals:
Bullish Signals: Green triangles (short-term entry), lime diamonds (breakout), blue circles (long-term entry).
Bearish Signals: Red triangles (short-term entry), maroon diamonds (breakout).
Options Strategies: Purple squares (cash-secured puts), yellow circles (straddles/strangles), orange crosses (iron condors), white arrows (short squeezes).
Exits: X-cross shapes in corresponding colors indicate exit signals.
Monitor: Gray circles suggest holding cash or monitoring for setups.
Review Table: Check the top-right table for real-time metrics, including zone status, RSI, MACD, trends, and MA positioning.
Set Alerts: Configure alerts for specific signals (e.g., "Short-Term Bullish Entry" or "Golden Cross") to receive notifications via TradingView.
Adjust Inputs: Customize input parameters (e.g., RSI period, EMA length, ATR period) to suit your trading style or market conditions.
Input Parameters
The indicator offers a wide range of customizable inputs to fine-tune its behavior:
RSI Period (default: 14): Length for RSI calculation.
RSI Bullish Low/High (default: 35/70): RSI thresholds for bullish signals.
RSI Bearish High (default: 65): RSI threshold for bearish signals.
EMA Period (default: 15): Main EMA length (15 for day trading, 50 for swing).
Short/Long EMA Length (default: 3/20): For momentum oscillator.
T3 Smoothing Length (default: 5): Smooths momentum signals.
Long-Term EMA/RSI Length (default: 20/15): For long-term trend analysis.
Support/Resistance Lookback (default: 5): Periods for support/resistance levels.
MACD Fast/Slow/Signal (default: 12/26/9): MACD parameters.
Bollinger Bands Period/StdDev (default: 15/2): BB settings.
Stochastic RSI Period/Smoothing (default: 14/3/3): Stochastic RSI settings.
Uptrend/Short-Term/Long-Term Lookback (default: 2/2/5): Candles for trend detection.
ATR Period (default: 14): For volatility and price targets.
VWAP Sensitivity (default: 0.1%): Threshold for VWAP-based signals.
Volume Oscillator Period (default: 14): For volume surge detection.
Pattern Detection Threshold (default: 0.3%): Sensitivity for candlestick patterns.
ROC Period (default: 3): Rate of change for momentum.
VWAP Slope Period (default: 5): For VWAP trend analysis.
TradingView Publishing Compliance
Originality: The Canuck Trading Indicator is an original script, combining multiple technical indicators and custom logic to provide unique trading signals. It does not replicate existing public scripts.
No Guaranteed Profits: This indicator is a tool for technical analysis and does not guarantee profits. Trading involves risks, and users should conduct their own research and risk management.
Clear Instructions: The description and usage guide are detailed and accessible, ensuring users understand how to apply the indicator effectively.
No External Dependencies: The script uses only built-in Pine Script functions (e.g., ta.rsi, ta.ema, ta.vwap) and requires no external libraries or data sources.
Performance: The script is optimized for performance, using efficient calculations and adaptive parameters to minimize lag on various timeframes.
Visual Clarity: Signals are plotted with distinct shapes and colors, and the table provides a concise summary of market conditions, enhancing usability.
Limitations and Risks
Market Conditions: The indicator may generate false signals in choppy or low-liquidity markets. Always confirm signals with additional analysis.
Timeframe Sensitivity: Performance varies by timeframe; test settings on your preferred chart (e.g., 5-minute for day trading, daily for swing trading).
Risk Management: Use stop-losses and position sizing to manage risk, as suggested in alert messages (e.g., "Stop -20%").
Options Trading: Options strategies (e.g., straddles, iron condors) carry unique risks; consult a financial advisor before trading.
Feedback and Support
For questions, suggestions, or bug reports, please leave a comment on the TradingView script page or contact the author via TradingView. Your feedback helps improve the indicator for the community.
Disclaimer
The Canuck Trading Indicator is provided for educational and informational purposes only. It is not financial advice. Trading involves significant risks, and past performance is not indicative of future results. Always perform your own due diligence and consult a qualified financial advisor before making trading decisions.
Auto Darvas Boxes## AUTO DARVAS BOXES
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### OVERVIEW
**Auto Darvas Boxes** is a fully-automated, event-driven implementation of Nicolas Darvas’s 1950s box methodology.
The script tracks consolidation zones in real time, verifies that price truly “respects” those zones for a fixed validation window, then waits for the first decisive range violation to mark a directional breakout.
Every box is plotted end-to-end—from the first candle of the sideways range to the exact candle that ruptures it—giving you an on-chart, visually precise record of accumulation or distribution and the expansion that follows.
---
### HISTORICAL BACKGROUND
* Nicolas Darvas was a professional ballroom dancer who traded U.S. equities by telegram while touring the world.
* Without live news or Level II, he relied exclusively on **price** to infer institutional intent.
* His core insight: true market-moving entities leave footprints in the form of tight ranges; once their buying (or selling) is complete, price erupts out of the “box.”
* Darvas’s original procedure was manual—he kept notebooks, drew rectangles around highs and lows, and entered only when price punched out of the roof of a valid box.
* This indicator distills that logic into a rolling, self-resetting state machine so you never miss a box or breakout on any timeframe.
---
### ALGORITHM DETAIL (FOUR-STATE MACHINE)
**STATE 0 – RANGE DEFINITION**
• Examine the last *N* candles (default 7).
• Record `rangeHigh = highest(high, N) + tolerance`.
• Record `rangeLow = lowest(low, N) – tolerance`.
• Remember the index of the earliest bar in this window (`startBar`).
• Immediately transition to STATE 1.
**STATE 1 – RANGE VALIDATION**
• Observe the next *N* candles (again default 7).
• If **any** candle prints `high > rangeHigh` or `low < rangeLow`, the validation fails and the engine resets to STATE 0 **beginning at the violating candle**—no halfway boxes, no overlap.
• If all *N* candles remain inside the range, the box becomes **armed** and we transition to STATE 2.
**STATE 2 – ARMED (LIVE VISUAL FEEDBACK)**
• Draw a **green horizontal line** at `rangeHigh`.
• Draw a **red horizontal line** at `rangeLow`.
• Lines are extended in real time so the user can see the “live” Darvas ceiling and floor.
• Engine waits indefinitely for a breakout candle:
– **Up-Breakout** if `high > rangeHigh`.
– **Down-Breakout** if `low < rangeLow`.
**STATE 3 – BREAKOUT & COOLDOWN**
• Upon breakout the script:
1. Deletes the live range lines.
2. Draws a **filled rectangle (box)** from `startBar` to the breakout bar.
◦ **Green fill** when price exits above the ceiling.
◦ **Red fill** when price exits below the floor.
3. Optionally prints two labels at the left edge of the box:
◦ Dollar distance = `rangeHigh − rangeLow`.
◦ Percentage distance = `(rangeHigh − rangeLow) / rangeLow × 100 %`.
• After painting, the script waits a **user-defined cooldown** (default = 7 bars) before reverting to STATE 0. The cooldown guarantees separation between consecutive tests and prevents overlapping rectangles.
---
### INPUT PARAMETERS (ALL ADJUSTABLE FROM THE SETTINGS PANEL)
* **BARS TO DEFINE RANGE** – Number of candles used for both the definition and validation windows. Classic Darvas logic uses 7 but feel free to raise it on higher timeframes or volatile instruments.
* **OPTIONAL TOLERANCE** – Absolute price buffer added above the ceiling and below the floor. Use a small tolerance to ignore single-tick spikes or data-feed noise.
* **COOLDOWN BARS AFTER BREAKOUT** – How long the engine pauses before hunting for the next consolidation. Setting this equal to the range length produces non-overlapping, evenly spaced boxes.
* **SHOW BOX DISTANCE LABELS** – Toggle on/off. When on, each completed box displays its vertical size in both dollars and percentage, anchored at the box’s left edge.
---
### REAL-TIME VISUALISATION
* During the **armed** phase you see two extended, colour-coded guide-lines showing the exact high/low that must hold.
* When the breakout finally occurs, those lines vanish and the rectangle instantly appears, coloured to match the breakout direction.
* This immediate visual feedback turns any chart into a live Darvas tape—no manual drawing, no lag.
---
### PRACTICAL USE-CASES & BEST-PRACTICE WORKFLOWS
* **INTRADAY MOMENTUM** – Drop the script on 1- to 15-minute charts to catch tight coils before they explode. The coloured box marks the precise origin of the expansion; stops can sit just inside the opposite side of the box.
* **SWING & POSITION TRADING** – On 4-hour or daily charts, boxes often correspond to accumulation bases or volatility squeezes. Waiting for the box-validated breakout filters many false signals.
* **MEAN-REVERSION OR “FADE” STRATEGIES** – If a breakout immediately fails and price re-enters the box, you may have trapped momentum traders; fading that failure can be lucrative.
* **RISK MANAGEMENT** – Box extremes provide objective, structure-based stop levels rather than arbitrary ATR multiples.
* **BACK-TEST RESEARCH** – Because each box is plotted from first range candle to breakout candle, you can programmatically measure hold time, range height, and post-breakout expectancy for any asset.
---
### CUSTOMISATION IDEAS FOR POWER USERS
* **VOLATILITY-ADAPTIVE WINDOW** – Replace the fixed 7-bar length with a dynamic value tied to ATR percentile so the consolidation window stretches or compresses with volatility.
* **MULTI-TIMEFRAME LOGIC** – Only arm a 5-minute box if the 1-hour trend is aligned.
* **STRATEGY WRAPPER** – Convert the indicator to a full `strategy{}` script, automate entries on breakouts, and benchmark performance across assets.
* **ALERTS** – Create TradingView alerts on both up-breakout and down-breakout conditions; route them to webhook for broker automation.
---
### FINAL THOUGHTS
**Auto Darvas Boxes** packages one of the market’s oldest yet still potent price-action frameworks into a modern, self-resetting indicator. Whether you trade equities, futures, crypto, or forex, the script highlights genuine contraction-expansion sequences—Darvas’s original “boxes”—with zero manual effort, letting you focus solely on execution and risk.
Bullish and Bearish Breakout Alert for Gold Futures PullbackBelow is a Pine Script (version 6) for TradingView that includes both bullish and bearish breakout conditions for my intraday trading strategy on micro gold futures (MGC). The strategy focuses on scalping two-legged pullbacks to the 20 EMA or key levels with breakout confirmation, tailored for the Apex Trader Funding $300K challenge. The script accounts for the Daily Sentiment Index (DSI) at 87 (overbought, favoring pullbacks). It generates alerts for placing stop-limit orders for 175 MGC contracts, ensuring compliance with Apex’s rules ($7,500 trailing threshold, $20,000 profit target, 4:59 PM ET close).
Script Requirements
Version: Pine Script v6 (latest for TradingView, April 2025).
Purpose:
Bullish: Alert when price breaks above a rejection candle’s high after a two-legged pullback to the 20 EMA in a bullish trend (price above 20 EMA, VWAP, higher highs/lows).
Bearish: Alert when price breaks below a rejection candle’s low after a two-legged pullback to the 20 EMA in a bearish trend (price below 20 EMA, VWAP, lower highs/lows).
Context: 5-minute MGC chart, U.S. session (8:30 AM–12:00 PM ET), avoiding overbought breakouts above $3,450 (DSI 87).
Output: Alerts for stop-limit orders (e.g., “Buy: Stop=$3,377, Limit=$3,377.10” or “Sell: Stop=$3,447, Limit=$3,446.90”), quantity 175 MGC.
Apex Compliance: 175-contract limit, stop-losses, one-directional news trading, close by 4:59 PM ET.
How to Use the Script in TradingView
1. Add Script:
Open TradingView (tradingview.com).
Go to “Pine Editor” (bottom panel).
Copy the script from the content.
Click “Add to Chart” to apply to your MGC 5-minute chart .
2. Configure Chart:
Symbol: MGC (Micro Gold Futures, CME, via Tradovate/Apex data feed).
Timeframe: 5-minute (entries), 15-minute (trend confirmation, manually check).
Indicators: Script plots 20 EMA and VWAP; add RSI (14) and volume manually if needed .
3. Set Alerts:
Click the “Alert” icon (bell).
Add two alerts:
Bullish Breakout: Condition = “Bullish Breakout Alert for Gold Futures Pullback,” trigger = “Once Per Bar Close.”
Bearish Breakout: Condition = “Bearish Breakout Alert for Gold Futures Pullback,” trigger = “Once Per Bar Close.”
Customize messages (default provided) and set notifications (e.g., TradingView app, SMS).
Example: Bullish alert at $3,377 prompts “Stop=$3,377, Limit=$3,377.10, Quantity=175 MGC” .
4. Execute Orders:
Bullish:
Alert triggers (e.g., stop $3,377, limit $3,377.10).
In TradingView’s “Order Panel,” select “Stop-Limit,” set:
Stop Price: $3,377.
Limit Price: $3,377.10.
Quantity: 175 MGC.
Direction: Buy.
Confirm via Tradovate.
Add bracket order (OCO):
Stop-loss: Sell 175 at $3,376.20 (8 ticks, $1,400 risk).
Take-profit: Sell 87 at $3,378 (1:1), 88 at $3,379 (2:1) .
Bearish:
Alert triggers (e.g., stop $3,447, limit $3,446.90).
Select “Stop-Limit,” set:
Stop Price: $3,447.
Limit Price: $3,446.90.
Quantity: 175 MGC.
Direction: Sell.
Confirm via Tradovate.
Add bracket order:
Stop-loss: Buy 175 at $3,447.80 (8 ticks, $1,400 risk).
Take-profit: Buy 87 at $3,446 (1:1), 88 at $3,445 (2:1) .
5. Monitor:
Green triangles (bullish) or red triangles (bearish) confirm signals.
Avoid bullish entries above $3,450 (DSI 87, overbought) or bearish entries below $3,296 (support) .
Close trades by 4:59 PM ET (set 4:50 PM alert) .
Frozen Bias Zones – Sentiment Lock-insOverview
The Frozen Bias Zones indicator visualizes market sentiment lock-ins using a combination of RSI, MACD, and OBV. It creates "bias zones" that indicate whether the market is in a sustained bullish or bearish phase. These zones are then highlighted on the chart, helping traders spot when the market is locked in a bias. The script also detects breakout events from these zones and marks them with clear labels for easier decision-making.
Features
Multi-Indicator Sentiment Analysis: Combines RSI, MACD, and OBV to detect synchronized bullish or bearish sentiment.
Frozen Bias Zones: Identifies and visually represents zones where the market has remained in a particular sentiment (bullish or bearish) for a defined period.
Breakout Alerts: Displays labels to indicate when the price breaks out of the established bias zone.
Customizable Inputs: Adjust the zone duration, RSI, MACD, and breakout label visibility.
Input Parameters
Bias Duration (biasLength)
The minimum number of candles the market must stay in a specific sentiment to consider it a "Frozen Bias Zone".
Default: 5 candles.
RSI Period (rsiPeriod)
Period for the Relative Strength Index (RSI) calculation.
Default: 14 periods.
MACD Settings
MACD Fast (macdFast): The fast-moving average period for the MACD calculation.
Default: 12.
MACD Slow (macdSlow): The slow-moving average period for the MACD calculation.
Default: 26.
MACD Signal (macdSig): The signal line period for MACD.
Default: 9.
Show Break Label (showBreakLabel)
Toggle to show labels when the price breaks out of the bias zone.
Default: True (shows label).
Bias Zone Colors
Bullish Bias Color (bullColor): The color for bullish zones (light green).
Bearish Bias Color (bearColor): The color for bearish zones (light red).
How It Works
This indicator analyzes three key market metrics to determine whether the market is in a bullish or bearish phase:
RSI (Relative Strength Index)
Measures the speed and change of price movements. RSI > 50 indicates a bullish phase, while RSI < 50 indicates a bearish phase.
MACD (Moving Average Convergence Divergence)
Measures the relationship between two moving averages of the price. A positive MACD histogram indicates bullish momentum, while a negative histogram indicates bearish momentum.
OBV (On-Balance Volume)
Uses volume flow to determine if a trend is likely to continue. A rising OBV indicates bullish accumulation, while a falling OBV indicates bearish distribution.
Bias Zone Detection
The market sentiment is considered bullish if all three indicators (RSI, MACD, and OBV) are bullish, and bearish if all three indicators are bearish.
Bullish Zone: A zone is created when the market sentiment remains bullish for the duration of the specified biasLength.
Bearish Zone: A zone is created when the market sentiment remains bearish for the duration of the specified biasLength.
These bias zones are visually represented on the chart as colored boxes (green for bullish, red for bearish).
Breakout Detection
The script automatically detects when the market exits a bias zone. If the price moves outside the bounds of the established zone (either up or down), the script will display one of the following labels:
Bias Break (Up): Indicates that the price has broken upwards out of the zone (with a green label).
Bias Break (Down): Indicates that the price has broken downwards out of the zone (with a red label).
These labels help traders easily identify potential breakout points.
Example Use Case
Bullish Market Conditions: If the RSI is above 50, the MACD histogram is positive, and OBV is increasing, the script will highlight a green bias zone. Traders can watch for potential bullish breakouts or trend continuation after the zone ends.
Bearish Market Conditions: If the RSI is below 50, the MACD histogram is negative, and OBV is decreasing, the script will highlight a red bias zone. Traders can look for potential bearish breakouts when the zone ends.
Conclusion
The Frozen Bias Zones indicator is a powerful tool for traders looking to visualize prolonged market sentiment, whether bullish or bearish. By combining RSI, MACD, and OBV, it helps traders spot when the market is "locked in" to a bias. The breakout labels make it easier to take action when the price moves outside of the established zone, potentially signaling the start of a new trend.
Instructions
To use this script:
Add the Frozen Bias Zones indicator to your TradingView chart.
Adjust the input parameters to suit your trading strategy.
Observe the colored bias zones on your chart, along with breakout labels, to make informed decisions on trend continuation or reversal.
Correlation Heatmap█ OVERVIEW
This indicator creates a correlation matrix for a user-specified list of symbols based on their time-aligned weekly or monthly price returns. It calculates the Pearson correlation coefficient for each possible symbol pair, and it displays the results in a symmetric table with heatmap-colored cells. This format provides an intuitive view of the linear relationships between various symbols' price movements over a specific time range.
█ CONCEPTS
Correlation
Correlation typically refers to an observable statistical relationship between two datasets. In a financial time series context, it usually represents the extent to which sampled values from a pair of datasets, such as two series of price returns, vary jointly over time. More specifically, in this context, correlation describes the strength and direction of the relationship between the samples from both series.
If two separate time series tend to rise and fall together proportionally, they might be highly correlated. Likewise, if the series often vary in opposite directions, they might have a strong anticorrelation . If the two series do not exhibit a clear relationship, they might be uncorrelated .
Traders frequently analyze asset correlations to help optimize portfolios, assess market behaviors, identify potential risks, and support trading decisions. For instance, correlation often plays a key role in diversification . When two instruments exhibit a strong correlation in their returns, it might indicate that buying or selling both carries elevated unsystematic risk . Therefore, traders often aim to create balanced portfolios of relatively uncorrelated or anticorrelated assets to help promote investment diversity and potentially offset some of the risks.
When using correlation analysis to support investment decisions, it is crucial to understand the following caveats:
• Correlation does not imply causation . Two assets might vary jointly over an analyzed range, resulting in high correlation or anticorrelation in their returns, but that does not indicate that either instrument directly influences the other. Joint variability between assets might occur because of shared sensitivities to external factors, such as interest rates or global sentiment, or it might be entirely coincidental. In other words, correlation does not provide sufficient information to identify cause-and-effect relationships.
• Correlation does not predict the future relationship between two assets. It only reflects the estimated strength and direction of the relationship between the current analyzed samples. Financial time series are ever-changing. A strong trend between two assets can weaken or reverse in the future.
Correlation coefficient
A correlation coefficient is a numeric measure of correlation. Several coefficients exist, each quantifying different types of relationships between two datasets. The most common and widely known measure is the Pearson product-moment correlation coefficient , also known as the Pearson correlation coefficient or Pearson's r . Usually, when the term "correlation coefficient" is used without context, it refers to this correlation measure.
The Pearson correlation coefficient quantifies the strength and direction of the linear relationship between two variables. In other words, it indicates how consistently variables' values move together or in opposite directions in a proportional, linear manner. Its formula is as follows:
𝑟(𝑥, 𝑦) = cov(𝑥, 𝑦) / (𝜎𝑥 * 𝜎𝑦)
Where:
• 𝑥 is the first variable, and 𝑦 is the second variable.
• cov(𝑥, 𝑦) is the covariance between 𝑥 and 𝑦.
• 𝜎𝑥 is the standard deviation of 𝑥.
• 𝜎𝑦 is the standard deviation of 𝑦.
In essence, the correlation coefficient measures the covariance between two variables, normalized by the product of their standard deviations. The coefficient's value ranges from -1 to 1, allowing a more straightforward interpretation of the relationship between two datasets than what covariance alone provides:
• A value of 1 indicates a perfect positive correlation over the analyzed sample. As one variable's value changes, the other variable's value changes proportionally in the same direction .
• A value of -1 indicates a perfect negative correlation (anticorrelation). As one variable's value increases, the other variable's value decreases proportionally.
• A value of 0 indicates no linear relationship between the variables over the analyzed sample.
Aligning returns across instruments
In a financial time series, each data point (i.e., bar) in a sample represents information collected in periodic intervals. For instance, on a "1D" chart, bars form at specific times as successive days elapse.
However, the times of the data points for a symbol's standard dataset depend on its active sessions , and sessions vary across instrument types. For example, the daily session for NYSE stocks is 09:30 - 16:00 UTC-4/-5 on weekdays, Forex instruments have 24-hour sessions that span from 17:00 UTC-4/-5 on one weekday to 17:00 on the next, and new daily sessions for cryptocurrencies start at 00:00 UTC every day because crypto markets are consistently open.
Therefore, comparing the standard datasets for different asset types to identify correlations presents a challenge. If two symbols' datasets have bars that form at unaligned times, their correlation coefficient does not accurately describe their relationship. When calculating correlations between the returns for two assets, both datasets must maintain consistent time alignment in their values and cover identical ranges for meaningful results.
To address the issue of time alignment across instruments, this indicator requests confirmed weekly or monthly data from spread tickers constructed from the chart's ticker and another specified ticker. The datasets for spreads are derived from lower-timeframe data to ensure the values from all symbols come from aligned points in time, allowing a fair comparison between different instrument types. Additionally, each spread ticker ID includes necessary modifiers, such as extended hours and adjustments.
In this indicator, we use the following process to retrieve time-aligned returns for correlation calculations:
1. Request the current and previous prices from a spread representing the sum of the chart symbol and another symbol ( "chartSymbol + anotherSymbol" ).
2. Request the prices from another spread representing the difference between the two symbols ( "chartSymbol - anotherSymbol" ).
3. Calculate half of the difference between the values from both spreads ( 0.5 * (requestedSum - requestedDifference) ). The results represent the symbol's prices at times aligned with the sample points on the current chart.
4. Calculate the arithmetic return of the retrieved prices: (currentPrice - previousPrice) / previousPrice
5. Repeat steps 1-4 for each symbol requiring analysis.
It's crucial to note that because this process retrieves prices for a symbol at times consistent with periodic points on the current chart, the values can represent prices from before or after the closing time of the symbol's usual session.
Additionally, note that the maximum number of weeks or months in the correlation calculations depends on the chart's range and the largest time range common to all the requested symbols. To maximize the amount of data available for the calculations, we recommend setting the chart to use a daily or higher timeframe and specifying a chart symbol that covers a sufficient time range for your needs.
█ FEATURES
This indicator analyzes the correlations between several pairs of user-specified symbols to provide a structured, intuitive view of the relationships in their returns. Below are the indicator's key features:
Requesting a list of securities
The "Symbol list" text box in the indicator's "Settings/Inputs" tab accepts a comma-separated list of symbols or ticker identifiers with optional spaces (e.g., "XOM, MSFT, BITSTAMP:BTCUSD"). The indicator dynamically requests returns for each symbol in the list, then calculates the correlation between each pair of return series for its heatmap display.
Each item in the list must represent a valid symbol or ticker ID. If the list includes an invalid symbol, the script raises a runtime error.
To specify a broker/exchange for a symbol, include its name as a prefix with a colon in the "EXCHANGE:SYMBOL" format. If a symbol in the list does not specify an exchange prefix, the indicator selects the most commonly used exchange when requesting the data.
Note that the number of symbols allowed in the list depends on the user's plan. Users with non-professional plans can compare up to 20 symbols with this indicator, and users with professional plans can compare up to 32 symbols.
Timeframe and data length selection
The "Returns timeframe" input specifies whether the indicator uses weekly or monthly returns in its calculations. By default, its value is "1M", meaning the indicator analyzes monthly returns. Note that this script requires a chart timeframe lower than or equal to "1M". If the chart uses a higher timeframe, it causes a runtime error.
To customize the length of the data used in the correlation calculations, use the "Max periods" input. When enabled, the indicator limits the calculation window to the number of periods specified in the input field. Otherwise, it uses the chart's time range as the limit. The top-left corner of the table shows the number of confirmed weeks or months used in the calculations.
It's important to note that the number of confirmed periods in the correlation calculations is limited to the largest time range common to all the requested datasets, because a meaningful correlation matrix requires analyzing each symbol's returns under the same market conditions. Therefore, the correlation matrix can show different results for the same symbol pair if another listed symbol restricts the aligned data to a shorter time range.
Heatmap display
This indicator displays the correlations for each symbol pair in a heatmap-styled table representing a symmetric correlation matrix. Each row and column corresponds to a specific symbol, and the cells at their intersections correspond to symbol pairs . For example, the cell at the "AAPL" row and "MSFT" column shows the weekly or monthly correlation between those two symbols' returns. Likewise, the cell at the "MSFT" row and "AAPL" column shows the same value.
Note that the main diagonal cells in the display, where the row and column refer to the same symbol, all show a value of 1 because any series of non-na data is always perfectly correlated with itself.
The background of each correlation cell uses a gradient color based on the correlation value. By default, the gradient uses blue hues for positive correlation, orange hues for negative correlation, and white for no correlation. The intensity of each blue or orange hue corresponds to the strength of the measured correlation or anticorrelation. Users can customize the gradient's base colors using the inputs in the "Color gradient" section of the "Settings/Inputs" tab.
█ FOR Pine Script® CODERS
• This script uses the `getArrayFromString()` function from our ValueAtTime library to process the input list of symbols. The function splits the "string" value by its commas, then constructs an array of non-empty strings without leading or trailing whitespaces. Additionally, it uses the str.upper() function to convert each symbol's characters to uppercase.
• The script's `getAlignedReturns()` function requests time-aligned prices with two request.security() calls that use spread tickers based on the chart's symbol and another symbol. Then, it calculates the arithmetic return using the `changePercent()` function from the ta library. The `collectReturns()` function uses `getAlignedReturns()` within a loop and stores the data from each call within a matrix . The script calls the `arrayCorrelation()` function on pairs of rows from the returned matrix to calculate the correlation values.
• For consistency, the `getAlignedReturns()` function includes extended hours and dividend adjustment modifiers in its data requests. Additionally, it includes other settings inherited from the chart's context, such as "settlement-as-close" preferences.
• A Pine script can execute up to 40 or 64 unique `request.*()` function calls, depending on the user's plan. The maximum number of symbols this script compares is half the plan's limit, because `getAlignedReturns()` uses two request.security() calls.
• This script can use the request.security() function within a loop because all scripts in Pine v6 enable dynamic requests by default. Refer to the Dynamic requests section of the Other timeframes and data page to learn more about this feature, and see our v6 migration guide to learn what's new in Pine v6.
• The script's table uses two distinct color.from_gradient() calls in a switch structure to determine the cell colors for positive and negative correlation values. One call calculates the color for values from -1 to 0 based on the first and second input colors, and the other calculates the colors for values from 0 to 1 based on the second and third input colors.
Look first. Then leap.
