[blackcat] L3 Adaptive Trend SeekerOVERVIEW
The indicator is designed to help traders identify dynamic trends in various markets efficiently. It employs advanced calculations including Dynamic Moving Averages (DMAs) and multiple moving averages to filter out noise and provide clear buy/sell signals 📈✨. By utilizing innovative algorithms that adapt to changing market conditions, this tool enables users to make informed decisions across different timeframes and asset classes.
This versatile indicator serves both novice and experienced traders seeking reliable ways to navigate volatile environments. Its primary objective is to simplify complex trend analysis into actionable insights, making it an indispensable addition to any trader’s arsenal ⚙️🎯.
FEATURES
Customizable Dynamic Moving Average: Calculates an adaptive moving average tailored to specific needs using customizable coefficients.
Trend Identification: Utilizes multi-period moving averages (e.g., short-term, medium-term, long-term) to discern prevailing trends accurately.
Crossover Alerts: Provides visual cues via labels when significant crossover events occur between key indicators.
Adjusted MA Plots: Displays steplines colored according to the current trend direction (green for bullish, red for bearish).
Historical Price Analysis: Analyzes historical highs and lows over specified periods, ensuring robust trend identification.
Conditional Signals: Generates bullish/bearish conditions based on predefined rules enhancing decision-making efficiency.
HOW TO USE
Script Installation:
Copy the provided code and add it under Indicators > Add Custom Indicator within TradingView.
Choose an appropriate name and enable it on your desired charts.
Parameter Configuration:
Adjust the is_trend_seeker_active flag to activate/deactivate the core functionality as needed.
Modify other parameters such as smoothing factors if more customized behavior is required.
Interpreting Trends:
Observe the steppled lines representing the long-term/trend-adjusted moving averages:
Green indicates a bullish trend where prices are above the dynamically calculated threshold.
Red signifies a bearish environment with prices below respective levels.
Pay attention to labels marked "B" (for Bullish Crossover) and "S" (for Bearish Crossover).
Signal Integration:
Incorporate these generated signals within broader strategies involving support/resistance zones, volume data, and complementary indicators for stronger validity.
Use crossover alerts responsibly by validating them against recent market movements before execution.
Setting Up Alerts:
Configure alert notifications through TradingView’s interface corresponding to crucial crossover events ensuring timely responses.
Backtesting & Optimization:
Conduct extensive backtests applying diverse datasets spanning varied assets/types verifying robustness amidst differing conditions.
Refine parameters iteratively improving overall effectiveness and minimizing false positives/negatives.
EXAMPLE SCENARIOS
Swing Trading: Employ the stepline crossovers coupled with momentum oscillators like RSI to capitalize on intermediate trend reversals.
Day Trading: Leverage rapid adjustments offered by short-medium term MAs aligning entries/exits alongside intraday volatility metrics.
LIMITATIONS
The performance hinges upon accurate inputs; hence regular recalibration aligning shifting dynamics proves essential.
Excessive reliance solely on this indicator might lead to missed opportunities especially during sideways/choppy phases necessitating additional filters.
Always consider combining outputs with fundamental analyses ensuring holistic perspectives while managing risks effectively.
NOTES
Educational Resources: Delve deeper into principles behind dynamic moving averages and their significance in technical analysis bolstering comprehension.
Risk Management: Maintain stringent risk management protocols integrating stop-loss/profit targets safeguarding capital preservation.
Continuous Learning: Stay updated exploring evolving financial landscapes incorporating new methodologies enhancing script utility and relevance.
THANKS
Thanks to all contributors who have played vital roles refining and optimizing this script. Your valuable feedback drives continual enhancements paving way towards superior trading experiences!
Happy charting, and here's wishing you successful ventures ahead! 🌐💰!
Indicateurs et stratégies
AWR Optimized LR (Multiple)Attached you will find the indicator that calculates linear regression lines according to several configurable periods.
There are a total of eight configurable periods.
Each time, the indicator will calculate for each specified range the best linear regression line & channel (2 standard regressions) for that period and then plot it on the graph.
It will currently be configured by default between 0 and 5000 UT, which provides both a short-term and a very long-term view.
You can set a specific color for each linear regression channels.
As a reminder, the linear regression line is based on the least squares method, meaning: the more the price deviates from its regression line, the more statistically likely it is to return to its regression line. From two standard deviations or minus two standard deviations), it is generally statistically proven that we will trend towards the regression line over time.
Application of Regression Lines in Trading
Regression lines are widely used in trading and financial analysis to understand market trends and make informed predictions. Here are some key applications:
1. Trend Identification – Traders use regression lines to visualize the general direction of a stock or asset price, helping to confirm an upward or downward trend.
2. Price Predictions – Linear regression models assist in estimating future price movements based on historical data, allowing traders to anticipate changes.
3. Risk Assessment – By analyzing the slope and variation of a regression line, traders can gauge market volatility and potential risks.
4. Support and Resistance Levels – Regression channels help traders identify support and resistance zones, providing insight into optimal entry and exit points in a trend.
5. You can also use the short period linear regression channels vs the long period linear regression channels to identify important pivot points.
Distance to EMASimple indicator to show the distance to the H1 50 EMA in a number of common time frames below and above. Useful as a quick glance to spot divergences in price before a reversion to the mean / polarity reversal.
Note that this is multi-timeframe but the distances are calculated differently depending upon context.
There are some presets where the distance is calculated to the H1 50 EMA when in timeframes below this:
M1, M4, M15 & H1 all calculate based upon the price distance to the H1 50 EMA, since this is a useful directional indicator for lower timeframes to see where we are wrt H1 without having to switch.
However above the H1, there's H4, H8 and H12 presets - but these use the 1D 50 EMA since I generally use these in HTF calculations.
Any other timeframe will use whatever the indicator is set up as in the options menu.
Daily Range % with Conditional SPX DirectionThis indicator visualizes the short-term market sentiment by combining the trend of the S&P 500 index (SPX) with daily price volatility (DP%).
Key Features:
Calculates a 5-period Exponential Moving Average (EMA) of SPX to detect trend direction:
Rising EMA → Uptrend
Falling EMA → Downtrend
Calculates a 5-period Simple Moving Average (SMA) of Daily Price Range % (DP%) to assess volatility trend:
Rising DP% → Increasing volatility
Falling DP% → Decreasing volatility
Background Colors:
Green: SPX trend up & volatility down → Bullish
Yellow:
SPX trend up & volatility up, or
SPX trend down & volatility down → Neutral
Red: SPX trend down & volatility up → Bearish
On-screen Labels:
Displays SPX trend direction (⬆️ / ⬇️)
Displays volatility direction (⬆️ / ⬇️)
Displays overall market sentiment: Bullish / Neutral / Bearish
This tool is designed to help traders quickly assess the relationship between trend and volatility, aiding in market environment analysis and discretionary trading decisions.
Automatic HTF MA CloudsAutomatically display higher time frame HTF clouds based on presets.
Fifteen selections in total. Default settings based on Barky's DTF concepts.
Five presets left blank.
A simple table display CTF and HTF. Can be turned off in settings.
CTF1 1m → HTF1 5m
CTF2 2m → HTF2 10m
CTF3 10m → HTF3 1h
CTF4 1h → HTF4 4h
CTF5 4h → HTF5 1d
CTF6 1d → HTF6 1w
CTF7 1w → HTF7 1M
CTF8 1M → HTF8 3M
CTF9 3M → HTF9 6M
CTF10 6M → HTF10 12M
CTF11 blank → HTF11 blank
CTF12 blank → HTF12 blank
CTF13 blank → HTF13 blank
CTF14 blank → HTF14 blank
CTF15 blank → HTF15 blank
Daily Range % with Conditional SPX DirectionThis indicator visualizes the short-term market sentiment by combining the trend of the S&P 500 index (SPX) with daily price volatility (DP%).
Key Features:
Calculates a 5-period Exponential Moving Average (EMA) of SPX to detect trend direction:
Rising EMA → Uptrend
Falling EMA → Downtrend
Calculates a 5-period Simple Moving Average (SMA) of Daily Price Range % (DP%) to assess volatility trend:
Rising DP% → Increasing volatility
Falling DP% → Decreasing volatility
Background Colors:
Green: SPX trend up & volatility down → Bullish
Yellow:
SPX trend up & volatility up, or
SPX trend down & volatility down → Neutral
Red: SPX trend down & volatility up → Bearish
On-screen Labels:
Displays SPX trend direction (⬆️ / ⬇️)
Displays volatility direction (⬆️ / ⬇️)
Displays overall market sentiment: Bullish / Neutral / Bearish
This tool is designed to help traders quickly assess the relationship between trend and volatility, aiding in market environment analysis and discretionary trading decisions.
Trend Classifier [ChartPrime]Trend Classifier
This is a multi-level trend classification tool that detects bullish, bearish, and ranging conditions using an adaptive smoothing method. It highlights trend strength through color-coded candles and layered bands, making it easy to interpret market momentum visually.
⯁ KEY FEATURES
Classifies trend strength using 3 bullish and 3 bearish levels relative to an adaptive trend line.
Neutral (range) zones are marked when price stays between key bands, often signaling low volatility or consolidation.
Automatically filters band visibility based on current trend direction:
In uptrends, only levels below the price are displayed.
In downtrends, only levels above the price are shown.
Color-coded candles:
Aqua candles for bullish conditions.
Red candles for bearish conditions.
Orange candles during neutral or ranging conditions.
Includes a trend direction change marker (diamond), plotted when a shift in trend is detected.
Plots a central smoothed trend line to anchor the trend bands dynamically.
Displays a trend strength dashboard in the top-right corner with real-time bull and bear scores (0 to 3).
Labels with arrows (▲/▼) show current trend direction and strength on the chart.
⯁ HOW TO USE
Use bull and bear levels (1–3) to assess the momentum of the current trend.
When bull = 0 and bear = 0 , market is considered ranging or consolidating – consider fading or waiting for breakout confirmation.
Trend bands can be used as dynamic support/resistance during trending phases.
Monitor the trend change diamonds to spot potential early reversals.
Combine with volume or oscillator tools for confirmation of strength shifts.
⯁ CONCLUSION
Trend Classifier helps traders stay aligned with the dominant trend while visually breaking down market momentum into levels. Its clean color-coded design and strength dashboard make it ideal for both trend following and range trading strategies.
Daily Range % with Conditional SPX DirectionThis indicator visualizes the short-term market sentiment by combining the trend of the S&P 500 index (SPX) with daily price volatility (DP%).
Key Features:
Calculates a 5-period Exponential Moving Average (EMA) of SPX to detect trend direction:
Rising EMA → Uptrend
Falling EMA → Downtrend
Calculates a 5-period Simple Moving Average (SMA) of Daily Price Range % (DP%) to assess volatility trend:
Rising DP% → Increasing volatility
Falling DP% → Decreasing volatility
Background Colors:
Green: SPX trend up & volatility down → Bullish
Yellow:
SPX trend up & volatility up, or
SPX trend down & volatility down → Neutral
Red: SPX trend down & volatility up → Bearish
On-screen Labels:
Displays SPX trend direction (⬆️ / ⬇️)
Displays volatility direction (⬆️ / ⬇️)
Displays overall market sentiment: Bullish / Neutral / Bearish
This tool is designed to help traders quickly assess the relationship between trend and volatility, aiding in market environment analysis and discretionary trading decisions.
Dynamic Liquidity Depth [BigBeluga]
Dynamic Liquidity Depth
A liquidity mapping engine that reveals hidden zones of market vulnerability. This tool simulates where potential large concentrations of stop-losses may exist — above recent highs (sell-side) and below recent lows (buy-side) — by analyzing real price behavior and directional volume. The result is a dynamic two-sided volume profile that highlights where price is most likely to gravitate during liquidation events, reversals, or engineered stop hunts.
🔵 KEY FEATURES
Two-Sided Liquidity Profiles:
Plots two separate profiles on the chart — one above price for potential sell-side liquidity , and one below price for potential buy-side liquidity . Each profile reflects the volume distribution across binned zones derived from historical highs and lows.
Real Stop Zone Simulation:
Each profile is offset from the current high or low using an ATR-based buffer. This simulates where traders might cluster their stop-losses above swing highs (short stops) or below swing lows (long stops).
Directional Volume Analysis:
Buy-side volume is accumulated only from bullish candles (close > open), while sell-side volume is accumulated only from bearish candles (close < open). This directional filtering enhances accuracy by capturing genuine pressure zones.
Dynamic Volume Heatmap:
Each liquidity bin is rendered as a horizontal box with a color gradient based on volume intensity:
- Low activity bins are shaded lightly.
- High-volume zones appear more vividly in red (sell) or lime (buy).
- The maximum volume bin in each profile is emphasized with a brighter fill and a volume label.
Extended POC Zones:
The Point of Control (PoC) — the bin with the most volume — is extended backwards across the entire lookback period to mark critical resistance (sell-side) or support (buy-side) levels.
Total Volume Summary Labels:
At the center of each profile, a summary label displays Total Buy Liquidity and Total Sell Liquidity volume.
This metric helps assess directional imbalance — when buy liquidity is dominant, the market may favor upward continuation, and vice versa.
Customizable Profile Granularity:
You can fine-tune both Resolution (Bins) and Offset Distance to adjust how far profiles are displaced from price and how many levels are calculated within the ATR range.
🔵 HOW IT WORKS
The indicator calculates an ATR-based buffer above highs and below lows to define the top and bottom of the liquidity zones.
Using a user-defined lookback period, it scans historical candles and divides the buffered zones into bins.
Each bin checks if bullish (or bearish) candles pass through it based on price wicks and body.
Volume from valid candles is summed into the corresponding bin.
When volume exists in a bin, a horizontal box is drawn with a width scaled by relative volume strength.
The bin with the highest volume is highlighted and optionally extended backward as a zone of importance.
Total buy/sell liquidity is displayed with a summary label at the side of the profile.
🔵 USAGE/b]
Identify Stop Hunt Zones: High-volume clusters near swing highs/lows are likely liquidation zones targeted during fakeouts.
Fade or Follow Reactions: Price hitting a high-volume bin may reverse (fade opportunity) or break with strength (confirmation breakout).
Layer with Other Tools: Combine with market structure, order blocks, or trend filters to validate entries near liquidity.
Adjust Offset for Sensitivity: Use higher offset to simulate wider stop placement; use lower for tighter scalping zones.
🔵 CONCLUSION
Dynamic Liquidity Depth transforms raw price and volume into a spatial map of liquidity. By revealing areas where stop orders are likely hidden, it gives traders insight into price manipulation zones, potential reversal levels, and breakout traps. Whether you're hunting for traps or trading with the flow, this tool equips you to navigate liquidity with precision.
Liquidity Sweep Detector – PDH/PDL LevelsPrevious Day High/Low Liquidity Sweep Detector (Intraday Accurate)
This indicator tracks the previous day's high and low using intraday data, rather than the daily candle, ensuring precise sweep detection across lower timeframes (15m to 4H).
It monitors for liquidity sweeps—moments when price briefly moves above the previous high or below the previous low—and visually marks these events on the chart.
Key Features
Intraday-accurate PDH/PDL tracking
Real-time sweep detection
On-chart labels marking sweep events
Toggleable table showing sweep status
Alert conditions for PDH/PDL sweep triggers
Best For
Traders who use Smart Money Concepts (SMC), liquidity-based strategies, or look for stop hunts and reversal zones tied to key prior-day levels.
Works well across FX, crypto, and indices on 15m, 1H, and 4H charts.
BTC Fair Value via Global Liquidity📈 BTC Fair Value via Global Liquidity
This indicator estimates Bitcoin's fair value based on a regression model using Global Liquidity (GLI) data from major central banks.
🔍 How it works:
Fair Value Line (orange): Calculated using a power-law model: Fair Value = e^b * (GLI)^a, where a and b are user-defined parameters based on historical regression.
Global Liquidity (GLI): Combines liquidity metrics from central banks (Fed, ECB, PBoC, BoJ, etc.), including adjustments for the RRP and TGA.
Deviation Bands (green/red dashed): Optional upper and lower bands showing % deviation from fair value (default ±25%). These help identify overbought/oversold conditions.
Delta Plot (gray dots): Displays the % deviation of BTC’s price from its modeled fair value.
⚙️ How to use:
Tune a and b for better model fitting (e.g., via log-log regression).
Use the deviation bands to identify potential entry/exit zones or periods of market inefficiency.
Ideal for macro-level BTC valuation and long-term strategic analysis.
Automated Trading Session: New York KillzoneAutomated Trading Session: New York Killzone (Timezone & DST Aware)
This indicator tracks the New York Killzone session using intraday data and real-time timezone adjustments. It draws high/low boxes after the session ends and highlights the active session on your chart, making it ideal for traders focused on U.S. market volatility.
Key Features
Timezone & DST Support
Accurately reflects session timing based on your selected timezone and daylight saving settings.
Custom Session Input
Set your preferred New York Killzone hours (default: 08:00–09:30 New York time).
Visual Session Boxes
High/low ranges of the session are boxed on the chart for quick reference.
End-of-Session Alert
Get notified when the session closes, supporting both manual and automated workflows.
On-Chart Info Table
Displays active session time and timezone directly on the chart.
WebhookGeneratorLibrary "WebhookGenerator"
Generates Json objects for webhook messages.
GenerateOT(license_id, symbol, action, order_type, trade_type, size, price, tp, sl, risk, trailPrice, trailOffset)
CreateOrderTicket: Establishes a order ticket.
Parameters:
license_id (string) : Provide your license index
symbol (string) : Symbol on which to execute the trade
action (string) : Execution method of the trade : "MRKT" or "PENDING"
order_type (string) : Direction type of the order: "BUY" or "SELL"
trade_type (string) : Is it a "SPREAD" trade or a "SINGLE" symbol execution?
size (float) : Size of the trade, in units
price (float) : If the order is pending you must specify the execution price
tp (float) : (Optional) Take profit of the order
sl (float) : (Optional) Stop loss of the order
risk (float) : Percent to risk for the trade, if size not specified
trailPrice (float) : (Optional) Price at which trailing stop is starting
trailOffset (float) : (Optional) Amount to trail by
Returns: Return Order string
50 & 200 SMA Death CrossSimple 50 and 200 Simple Moving Average Script with customizations. You can use these on the Daily Timeframe to confirm the "Death Cross" when trading Bitcoin. Right before the "Death Cross" happens the price usually dumps, and Right as they cross the price usually pumps. (Bitcoin must be in a bull market already)
Created by: Dan Heilman (www.youtube.com)
Livelli di Sconto da All Time HighInspired by the philosophy of the discount buy, this indicator give the discount levels from all time. In the last times, in which there's a massive amount money flowing in the market due to massive use of etf. Ther usual metrics to buy assets are difficult to use. In my opinion, after a strong correction, the prices usualy goes up again, except for some strong macro event.
So, I hope this indicator could hepl, for some trending growing market, to help to take decisions for extra buy in pac/dca plan.
Automated Trading Session: London KillzoneAutomated Trading Session: London Killzone (Timezone & DST Aware)
This indicator automatically tracks the London Killzone session using intraday data and real-time timezone adjustments. Designed for traders who use session-based strategies, it draws the high/low box of the session and highlights it visually on the chart.
Key Features
Timezone & DST Support
Automatically adjusts to your selected timezone, accounting for daylight saving time changes to ensure accurate session timing.
Custom Session Input
Allows you to define the start and end time of the London Killzone to suit your trading style.
Visual Session Boxes
Draws a dynamic box marking the session's high and low after it ends, with optional background coloring and session labeling.
Alert Trigger
Built-in alert condition that notifies you when the session ends—helpful for automation or manual review.
Info Table Overlay
Displays the active session time and timezone directly on the chart for quick reference.
Suggested Use
This tool is useful for identifying significant market ranges formed during the London Killzone, which is often associated with institutional activity and early market volatility.
Tolga's EMA Scalper – Buy / SellEMA line – Calculates a 20‑period Exponential Moving Average (EMA) of the chosen price series (close by default) and plots it in blue.
8‑bar range – Finds the highest and lowest closing prices over the last 8 bars and plots them as a red upper band and a green lower band, giving you a mini‑range reference.
Buy / Sell signals –
Sell: When price crosses the EMA and the current close is lower than the previous close, a red “Sell” arrow appears above the bar.
Buy: When price crosses the EMA and the current close is higher than the previous close, a green “Buy” arrow appears below the bar.
Alerts – Two alertcondition rules let TradingView fire alerts whenever a buy or sell signal is generated.
MCMXCIX Sessions### **Trading Sessions**
Intraday trading is marked by clear time frames that
mark areas of increased volatility:
Close Price - EMA Distance (10, 21, 50)this is script to show differnce between price and three moving average i.e 10, 21, and 50on closing basis
SessionBarThis PineScript is designed to display various visual elements on a chart to help traders track session activity within the lower time frames, specifically for the USA main session. Here's a breakdown of the script's functionality:
Session Tracking
The script tracks the USA main session, defined as 9:30 AM to 4:00 PM ET, Monday through Friday.
Visual Elements
The script displays various visual elements, including:
1. Session Open and Close Lines: Lines marking the open and close of the USA main session.
2. Session High and Low Lines: Lines marking the high and low of the USA sessions.
3. Active Session Bar: A Realtime Candle as the current session bar.
4. Overnight Session Bar: A Realtime Candle as the overnight session bar.
5. Session Timer: A label displaying the time left until the next session.
6. Background Colors: Colors indicating different session periods, such as pre-market, post-market, and active session.
Customization
The script allows users to customize various aspects, including:
1. Session Time: Users can adjust the session time.
2. Colors: Users can choose colors for different visual elements.
3. Display Options: Users can toggle the display of various visual elements.
Overall, this script provides a educational tool for traders to track session activity and visualize key market data.
Distance from 52W High & LowThis indicator calculates and plots two percentage metrics in %
Distance from 52 week low
Distance from 52 week high
Features:
Green line: % above 52 week low
Red line: % above 52 week high
Alerts when price is 5% of either extreme
Perfect for traders/ investors who track opportunities near long term lows or highs
