FortesThis script generates buy and sell alerts based on the crossover of two EMAs (9 and 21). When the 9 EMA crosses above the 21 EMA, it signals a buy; when it crosses below, it signals a sell. Simple and effective for EMA crossover trading.
Trend Analysis
𝗔𝗹𝗴𝗼𝗔𝘂𝗿𝗮 "AlgoAura is a technical analysis tool designed to assist traders in identifying potential market trends and managing risk. It combines trend identification, signal generation, and dynamic risk management into a single, customizable indicator.
🔹 Key Features:
• Trend Identification Algorithm: Utilizes a custom 'Algo Sniper' function to filter price data and highlight potential trend direction.
• Entry Signals: Plots non-repainting buy and sell signals on the chart to indicate potential entry points.
• Dynamic Stop-Loss & Take-Profit: Automatically calculates and plots stop-loss and take-profit levels for each signal. It supports both manual (ATR-based) and automatic settings.
• Customizable Info Table: Displays real-time data including current price, entry, stop-loss, take-profit, risk/reward ratio, and trend strength. All colors and parameters in the table are fully adjustable.
• Full Visual Customization: Users can easily change the colors of signals, lines, and table elements to match their charting preferences.
🔹 How it Works:
The indicator calculates a smoothed price range and applies a filter to reduce market noise. When the filtered price direction changes, a signal is generated. Stop-loss levels are calculated based on user-defined risk (ATR) or an automatic pip value. Take-profit levels are also user-defined or can be set to automatic random values.
🔹 Disclaimer:
This script is for educational and informational purposes only. It does not constitute investment advice. Past performance is not indicative of future results. I am not responsible for any financial losses incurred while using this script. Please be aware of the risks involved in trading and trade with caution.
Automated Intraday Key LevelsThis indicator is designed for day traders who focus on price action and key support/resistance levels. It automates the morning routine of marking up charts by instantly plotting critical levels from the Previous Day, the Premarket Session, and the Current Live Session.
Instead of manually drawing lines every morning, this script dynamically calculates and anchors these levels to the market open, extending them across the trading day for a clean, professional workspace.
Key Features
1. Previous Day Context (Static - White Lines) Before the market opens, it is crucial to know where price closed and traded yesterday.
Prev High & Low: Major support/resistance boundaries.
Prev Close: A magnetic level often used for "Gap Fill" strategies.
Prev Open: Provides context on yesterday's directional sentiment.
2. Premarket Session (Static - Orange Lines) The script fetches data from the Extended Trading Hours session (04:00 – 09:30 EST) to identify the overnight range.
PM High & Low: A breakout above the PM High or breakdown below the PM Low often signals the start of a trend day.
PM Midpoint (Dashed): Represents the overnight equilibrium. Staying above this level indicates early bullish strength.
3. Current Day Stats (Dynamic - Blue Lines) Once the Regular Trading Hours (RTH) begin, the script tracks live price action.
Day High (HOD) & Low (LOD): These lines update in real-time as price pushes new extremes. They are thicker to denote their importance as immediate liquidity zones.
Day Midpoint (Dashed): Calculated as (High + Low) / 2. This is a dynamic trend filter; price holding above the daily midpoint suggests buyers are in control, while trading below suggests seller dominance.
Visual Guide
To keep the chart clean and readable, the levels are color-coded:
🟦 Solid Blue (Width 2): Current Day High / Low (The most active levels).
🟦 Dashed Blue: Current Day Midpoint (50% Retracement level).
🟧 Solid Orange: Premarket High / Low.
🟧 Dashed Orange: Premarket Midpoint.
⬜ Solid White: Previous Day Open, High, Low, Close.
All lines are anchored to the 09:30 EST start time to keep the pre-market area of your chart uncluttered.
20/50/200 EMA with RVOL Filter Hariss 369Understanding to trade with this indicator is very simple. 20 EMA acts as dynamic support and resistance. 50 EMA is best for intraday/short term trend filter and 200 EMA is best for long term trend filter. One should always trade with the trend. Combination of all threes entails safe trading with trend. Undoubtedly, volume plays vital role to move the price up or down. The volume indicator used here is Relative Volume (RVOL) rather simple volume. 1.5 RVOL is considered as strong trend to trade considering other factors intact. You can tick/untick RVOL and you can also change the level of RVOL from input section.
You can also change the color of EMAs and pattern of buy and sell signal. Place this indicator over the chart. You can choose any type of asset and any time frame.
Though buy and sell signals are there. The concept of trading is buy when price closes above 20 ema and 20 ema >50ema>200 ema. Place stop loss below the low of last candle or just below 20 ema. Target 1.5/2 times of stop loss. You can also trail it with 20 ema or 50 ema depending upon your trading style and risk appetite. You can also take positional trade, in that case 200 ema to be considered as stop loss. Sell when price closes below 20 ema, 20 ema<50ema<200 ema. For intraday trading, 20 ema is best to enter and exit. Taking RVOL into consideration is best way in order to trade with high liquidity-safer way to entry and exit.
Nexural JMAHere's a natural description for TradingView:
Nexural JMA - Jurik Moving Average with Multi-Factor Analysis
WHAT IT DOES
This is a Jurik Moving Average indicator that I've enhanced with multi-factor scoring to help you identify high-quality trade setups. JMA is known for being smoother and more responsive than traditional moving averages, which means less lag without the whipsaw you get from faster EMAs.
The indicator plots the JMA line on your chart with dynamic support and resistance zones, entry signals, and a real-time dashboard that scores market conditions from 0 to 100 across five key factors.
KEY FEATURES
Jurik Moving Average - A sophisticated moving average that adapts quickly to price changes while staying smooth. You can adjust the phase and power settings to control its responsiveness.
Dynamic Zones - Creates a cloud around the JMA based on ATR. Think of it as a buffer zone that shows where price typically bounces or breaks through.
Multi-Factor Scoring - Real-time scores for Momentum, Volume, Volatility, and Trend Strength. All metrics are normalized to 0-100 so you can quickly see what's strong and what's weak.
Strength-Based Gradient - The JMA line and cloud change opacity based on trend strength. Bright and solid means strong conviction, faded means weak or transitional.
Filtered Signals - Entry signals only appear when multiple factors align - price crosses the JMA, volume confirms, and trend strength is adequate.
HOW TO USE IT
The JMA Line - This is your trend filter. When the line is green and rising, look for long opportunities. When it's red and falling, look for shorts. The brighter the color, the stronger the trend.
The Cloud - Price typically bounces off the cloud edges in trends. When price breaks through the cloud against the trend, it often signals exhaustion or reversal.
Entry Signals - Green triangles below price are long signals. Red triangles above price are short signals. These only fire when volume, momentum, and trend strength are adequate.
The Dashboard - This is your market health monitor. Check it before taking a trade. You want to see high scores (70+) in momentum and trend strength for the best setups. Volume above 50 adds confirmation.
Volatility Score - High volatility (70+) means wider stops and bigger targets. Low volatility (below 30) means tighter ranges and smaller moves.
BEST PRACTICES
Use the dashboard to filter trades. If trend strength is below 40, the market is choppy and you're better off waiting for clarity.
Pay attention to the gradient intensity. A bright solid JMA line with a visible cloud means the trend has conviction. A faded line means the trend is weak or transitioning.
Volume matters. Signals with volume scores above 70 tend to have better follow-through than those with weak volume.
Don't force trades when momentum is low. Below 40 momentum score means the market is consolidating or drifting.
Use the cloud as a stop loss guide in trends. Price reclaiming the cloud against the trend is often your signal to exit or tighten stops.
UNDERSTANDING THE SCORES
Momentum Score - Measures the rate of change over 10 bars compared to recent history. High scores mean price is moving decisively.
Volume Score - Compares current volume to the last 100 bars. Above 70 means volume is strong, below 30 means it's weak.
Volatility Score - Based on ATR percentile. High scores mean the market is moving with larger swings, low scores mean it's quiet.
Trend Strength - Combines how far price is from the JMA plus the slope of the JMA itself. This is your conviction meter.
SETTINGS BREAKDOWN
JMA Length - Default is 7, which is quite responsive. Increase to 14 or 21 for smoother trends on higher timeframes. Lower to 5 for faster response on scalping timeframes.
Phase - Default is 50 which is balanced. Higher values (70-100) make it more responsive but can increase whipsaws. Lower values (0-30) make it smoother but add lag.
Power - Controls the JMA curve calculation. Default is 2 which works well. Higher values make it more responsive at the cost of smoothness.
Source - Default is close, but you can experiment with hlc3 or ohlc4 for different characteristics.
PROS
Clean visual presentation - The gradient system makes trend strength obvious at a glance.
No guesswork on market conditions - The scored dashboard tells you exactly what's working and what's not.
Filtered signals - Unlike basic moving average crosses, these signals require multiple confirmations.
Adaptable - Works on stocks, crypto, forex, and futures. Just adjust the length for your timeframe.
Low lag - JMA responds faster than SMA or EMA of the same length, so you get earlier entries.
CONS
JMA can be sensitive - On the default settings, you might see some false signals in choppy markets. Consider increasing the length if this happens.
Requires interpretation - The dashboard gives you data, but you still need to make the trading decision. It's not a one-click solution.
Works best in trends - Like most moving average systems, it struggles in tight sideways ranges. Low trend strength scores will warn you when this is happening.
Not ideal for very fast scalping - The default length of 7 works for 5-minute and above, but for 1-minute scalping, you might need to drop it to 3-5 and accept more noise.
Volume data quality matters - On some assets or timeframes, volume data is unreliable or unavailable. The volume score will be less useful in those cases.
TIPS FROM MY TESTING
The indicator works best on the 5-minute to daily timeframes. I've had the most success on 15-minute and 1-hour charts.
When all scores are above 60, you're in prime trading conditions. These are your A+ setups.
Use it with support and resistance. When a signal fires at a key level with high trend strength, the probability increases significantly.
The cloud is your friend in trends. In strong trends, price will use the cloud edges as support or resistance for continuation entries.
Don't ignore weak signals in strong trends. Sometimes a low momentum score during a pullback in a strong trend is your best re-entry point.
Watch for divergence between price and the JMA. If price makes a new high but the JMA is fading in color and trend strength is dropping, that's often a warning sign.
ALERT SYSTEM
The alerts include the trend strength score in the message, so you know immediately if it's a high-conviction signal or a marginal one. Set your alerts to "once per bar close" to avoid repainting.
COMBINING WITH OTHER TOOLS
This works great with RSI or stochastic for timing entries. Use the JMA for trend direction and zones for context, then use an oscillator to time the exact entry.
It pairs well with volume profile. The JMA shows you the trend, volume profile shows you where the battle is happening.
Consider using a higher timeframe JMA for bias and a lower timeframe for entries. If the 1-hour JMA is bullish with 80 trend strength, look for long entries on the 15-minute chart.
This indicator is designed to give you clarity in a noisy market. The JMA itself is a powerful tool, but adding the multi-factor scoring system helps you understand the quality of what you're seeing. It's not magic, but it's been helpful for filtering out the junk and focusing on the setups with the best probability.
As always, backtest it on your markets and timeframes. Adjust the settings to fit your trading style. What works for one person might not work for another, so make it your own.
Good luck and trade safe.
ACE SqueezeACE Squeeze - Advanced Momentum Oscillator with Squeeze Detection
WHAT IT DOES
This is my take on a squeeze momentum indicator that I've been refining over time. At its core, it detects periods when volatility contracts (the squeeze) and measures momentum direction when the market breaks out. Think of it like a coiled spring - when price compresses into a tight range, it often leads to explosive moves once it breaks free.
The indicator plots a histogram oscillator that ranges from -100 to +100, with several visual elements to help you gauge signal strength and market conditions.
KEY FEATURES
Market Regime Detection - The indicator automatically adjusts its sensitivity based on whether the market is trending, ranging, choppy, or volatile. This helps reduce false signals in different market environments.
Hilbert Transform - Uses advanced cycle detection to identify the dominant market rhythm. You can toggle this on/off if you prefer the simpler calculation method.
Volume Analysis - Incorporates volume delta and footprint analysis to confirm momentum signals. Strong moves with volume confirmation get priority.
Statistical Filtering - Filters out low-quality signals by analyzing signal persistence and deviation from the mean. This helps focus on the high-probability setups.
Visual Enhancements - Three-tier glow system shows building momentum, heat maps at extreme levels, and cycle phase indicator to track market rhythm.
HOW TO USE IT
The Squeeze - When you see the purple background, that's a squeeze condition. The market is compressing and building energy. Wait for the squeeze to release (background disappears) and watch which direction the histogram breaks.
Histogram Direction - Green bars mean bullish momentum, red bars mean bearish momentum. The stronger the color and the larger the glow effect, the stronger the signal.
Zero Line - Think of this as the battleground. When the histogram crosses above zero with strong momentum, that's a buy signal. When it crosses below with conviction, that's a sell signal.
Extreme Levels - The +90/-90 zones are overbought/oversold areas. The heat map bands intensify as the signal reaches these extremes, warning you that a reversal or consolidation might be coming.
Signal Quality - The indicator has built-in quality filtering. The alerts are set to only fire when signal quality is high (above 70-80%), which helps avoid the junk trades.
BEST PRACTICES
Don't trade every signal. Wait for the high-quality setups where multiple factors align - squeeze release, strong momentum, volume confirmation, and good signal quality.
Use higher timeframes for confirmation. A squeeze on the 1-hour chart hitting at the same time as the daily chart is much more powerful than isolated signals.
Pay attention to the cycle phase line. When momentum aligns with the cycle direction, the move tends to have more follow-through.
The glow effects are your friend. When you see the tier 3 extreme glow, the market is really moving - consider trailing stops or scaling out.
PROS
Highly customizable - You can adjust almost everything from sensitivity to visual appearance.
Multi-faceted analysis - Combines volatility, momentum, volume, and cycle analysis in one indicator.
Smart filtering - The regime detection and statistical filtering help adapt to different market conditions.
Visual clarity - The glow effects and color gradients make it easy to see signal strength at a glance.
Good alert system - Alerts are filtered for quality, so you're not getting pinged on every minor wiggle.
CONS
Can be complex for beginners - There are a lot of settings and concepts to understand. Start with defaults and adjust gradually.
Lags on fast markets - Like any indicator, it's based on past data. In extremely fast-moving markets, you might get late entries.
Works best in volatile markets - In super tight, low-volatility ranges, you might see fewer signals. That's by design, but it means patience is required.
Computational load - With all the enhancements turned on, it's doing a lot of calculations. On lower-end devices, you might notice some lag.
Not a holy grail - No indicator is. This is a tool to help you make better decisions, not a replacement for proper risk management and trading discipline.
SETTINGS BREAKDOWN
Core Settings - Adjust the base cycle length (10 is good for most timeframes) and sensitivity (0.65 is balanced, lower for fewer signals, higher for more).
Enhancement Settings - Toggle the advanced features. If you're getting too many signals, try turning off RRED. If you want cleaner signals, keep statistical filtering on.
Visual Settings - Customize the appearance. The glow effects look cool but you can disable them if you prefer a cleaner chart.
Elite Settings - Market regime detection is powerful but you can disable it if you want consistent behavior across all market conditions.
TIPS FROM MY TESTING
The indicator shines best on the 15-minute to 4-hour timeframes. It works on lower timeframes but expect more noise.
Use it alongside support/resistance or supply/demand zones. When a squeeze fires near a key level, the probability increases significantly.
Don't ignore the small signals in trending markets. Sometimes the modest +30 to +40 readings in a strong uptrend are your best continuation entries.
The squeeze can last longer than you expect. Don't try to predict when it will fire - let the indicator tell you.
This indicator represents a lot of testing and refinement. It's not perfect, but it's been useful in my trading. I hope it helps you spot better setups and avoid some of the false signals that plague simpler momentum indicators.
Labden Predictive Kernel SFPPredictive kernel sfp indicator that uses a fuckton of math instead of typical signals to print buy and sell patterns.
Total Returns indicator by PtahXPtahX Total Returns – True Total-Return View for Any Symbol
Most charts only show price. This script shows what your position actually did once you include dividends and, optionally, inflation.
What this indicator does
1. Builds a Total Return series
You choose how dividends are treated:
* Reinvest (default): All gross dividends are automatically reinvested into more shares on the ex-dividend bar.
* Cash: Dividends are kept as cash added on top of your initial position.
* Ignore: Price only, like a regular chart.
This answers: “If I bought once at the start and held, how much would that position be worth now, given this dividend policy?”
2. Optional inflation-adjusted (real) returns
You can also plot a real total-return line, which adjusts for inflation using a CPI series.
This answers: “How did my purchasing power change after inflation?”
3. Stats window and exponential trendline
You can pick the time window:
* Since inception (full available history)
* YTD
* Last 1 Year
* Last 5 Years
* Custom start date
For that window, the script:
* Normalizes Total Return to 1.0 at the window start.
* Fits an exponential trendline (pink) to the normalized series.
* Displays a stats table in the bottom-right showing:
• Overall Return (%) over the selected range
• CAGR (compound annual growth rate, % per year)
• Trendline growth (% per year)
• R² of the trendline (fit quality)
• A separate “Since inception” block (overall return and CAGR from the first bar on the chart)
How to use it
1. Add the indicator to your chart.
2. Open the settings:
Total Return & Dividends
* Dividend mode
• Reinvest: closest to a true total-return curve (default).
• Cash: price plus cash dividends.
• Ignore: price only.
* Plot inflation-adjusted TR line
• Turn this on if you want to see a real (CPI-adjusted) total-return line.
Inflation / Real Returns
* Inflation country code and field code
• Leave defaults if you just want a standard CPI series.
* Use real TR for stats & trendline
• On: stats and trendline use the inflation-adjusted curve.
• Off: stats use the nominal (non-adjusted) total return.
Stats Range & Trendline
* Stats range: Since inception, YTD, 1 Year, 5 Years, or Custom date.
* Custom date: set year, month, and day if you choose “Custom date”.
* Plot TR exponential trendline: show or hide the pink curve.
* Show stats table / Show Overall Return / Show Trendline stats: toggle what appears in the table.
3. Zoom and change timeframe as usual. The stats range is based on calendar time (YTD, 1Y, 5Y, etc.), not bar count, so the numbers stay meaningful as you change resolutions.
How to read the outputs
* Teal line: Nominal Total Return (using your chosen dividend mode).
* Orange line (if enabled): Real (inflation-adjusted) Total Return.
* Pink line (if enabled): Exponential trendline for the selected stats window.
On the right edge, small labels show the latest value of each active line.
In the bottom-right stats table:
* Overall Return: total percentage gain or loss over the chosen stats range.
* CAGR: the smoothed annual rate that would turn 1.0 into the current value over that range.
* Exponential Trendline: the average trendline growth per year and the R².
• R² near 1 means prices follow a clean exponential path.
• Lower R² means more noise or sideways movement around the trend.
* Range: which window those stats apply to (YTD, 1Y, 5Y, etc.).
* Since inception: overall return and CAGR from the first bar on the chart up to the latest bar, independent of the current stats range.
Use this when you want to compare true performance, not just price – especially for dividend-heavy ETFs, funds, and income strategies.
QFA Volatility MeterQFA Volatility Meter
This is a technical indicator I built to measure market fear and identify potential bottom reversal setups in liquid ETFs and stocks. It combines multiple technical factors into a single scoring system. This is a new indicator with limited real-world testing so treat it as experimental.
What It Actually Does
The indicator calculates a fear index based on how far price has dropped from the highest close over the past 14 bars. It then applies zero lag EMA smoothing with a 5-period setting to reduce noise. The fear reading gets adjusted based on ATR percentile rank with the theory being that high volatility drops should register as more significant than low volatility drops.
On top of this base fear calculation, the indicator checks for five additional factors: momentum peaks where fear stops accelerating upward, RSI divergence using a 7-period RSI, support levels that have been tested multiple times in the past 50 bars, volume patterns including spikes and rejection wicks, and point of control using a 30-bar volume profile calculation. Each factor that triggers adds points to a score from 0 to 100.
The histogram bars change color based on whether fear is rising or falling. Red means fear is increasing, green means decreasing. Gold colors appear when the score crosses certain thresholds: bright gold for scores above 40, orange for scores above 30, pale gold for scores above 20. There is a table in the upper right showing the current score, raw fear level, volatility regime, and which components are active.
The Core Problem You Need To Know
This indicator has a fundamental lag issue that I have not yet solved. Because it measures price drops over a 14 bar lookback period, it is calculating what already happened rather than what is happening right now. During fast selloffs you will often see the fear level reading very low like 5 or 10 even though price is clearly crashing in real time. The reading catches up eventually but by then you have missed the entry by 10 to 20 bars.
I attempted to fix this with ATR normalization and faster smoothing but the lookback period remains the main bottleneck. The indicator works better at identifying areas where fear has already peaked and is starting to decline than at catching the exact moment of peak fear. This makes it more useful for confirmation than for timing entries.
What Works
The multi-component scoring system does a decent job of filtering out low quality setups. When you get a high score above 50 or 60 with multiple components firing like divergence plus support plus volume, those tend to be legitimate reversal zones worth paying attention to. The color coding is intuitive and easy to read at a glance. The real-time table helps you understand what is triggering without having to decode the chart.
The volume climax detection catches some extreme bottoms where you see three or more bars of increasing volume combined with panic selling. These can mark capitulation points. The multi-touch support logic does add value by distinguishing between random price levels and actual tested support zones.
The indicator handles changes in volatility reasonably well. During low volatility periods it lowers the threshold so you still get some signals. During high volatility it raises the threshold to filter noise. This dynamic adjustment is better than using a fixed threshold across all market conditions.
What Does Not Work
The lag issue means you will frequently see obvious selloffs where the indicator shows nothing. Fear level of 5 during a 3 percent drop is not useful information. This happens because the lookback window is too long and the smoothing further delays the reading.
The gold signals that are supposed to mark high conviction bottoms often do not trigger when you expect them to. Looking at recent price action you can point to clear bottoms where the indicator stayed gray or showed low scores. This is partly the lag and partly because the scoring system requires multiple components to align which does not always happen at actual bottoms.
The indicator has only been tested on 15 minute QQQ charts during a few weeks of data. I do not know how it performs on other timeframes, other instruments, or during different market regimes like strong trends versus ranges. It may work very differently on individual stocks versus ETFs or on 5 minute versus 1 hour charts.
There is no formal backtest data showing win rate, average gain, maximum drawdown, or any other performance metrics. The scoring thresholds and component weights were set based on visual inspection and intuition rather than systematic optimization. They might be completely wrong.
Real Risks If You Use This
If you trade based on gold signals alone you will get caught in falling knives. The indicator does not know the difference between a normal pullback in an uptrend versus a breakdown that keeps going. You need your own analysis of market structure, key levels, and trend direction.
The lag means you will often be late to entries. By the time a gold signal appears price may have already bounced 1 to 2 percent off the low. This eats into your risk reward ratio. You might be buying near resistance when you think you are buying near support.
False signals happen regularly especially during choppy sideways action. You will see early and building signals that never develop into actual reversals. If you take every signal you will get chopped up.
The indicator can give conflicting information where the histogram shows green bars indicating fear is falling but the score is still low. Or red bars with a high score. This happens because color tracks momentum direction while score tracks absolute conditions. It is confusing in real time.
The volume profile calculations reset every 30 bars so the POC level jumps around. This can cause the POC component to trigger at seemingly random times. The value area high and low have similar issues.
Honest Pros and Cons
Pros: Combines multiple factors instead of relying on one signal. Color coded for quick visual assessment. Shows component breakdown so you understand why score is high or low. Includes volatility regime context. Free and customizable. Works in TradingView.
Cons: Significant lag during fast moves. No proven track record or backtest results. Complex with many moving parts that can conflict. Requires additional analysis to use effectively. Will produce false signals and missed opportunities. Thresholds and weights are arbitrary. Only tested on limited data.
How Someone Might Actually Use This
If you wanted to use this indicator despite its limitations here is a realistic approach. Keep it on your chart as one input among several. When price drops to a logical support level that you have identified independently, check if the indicator is showing elevated fear and building score. If fear level is above 60 and score is above 30 and you like the price action, that adds a bit of confirmation to your setup.
Do not take trades based solely on gold signals. Do not expect it to call exact bottoms. Do not use it in isolation. Think of it like a momentum oscillator that has some additional context baked in. It might help you avoid buying when there is no fear which means no panic to fade. But it will not tell you when to buy with any precision.
You would need to set your stop losses based on price structure not based on the indicator. Manage position size appropriately because this tool does not reduce risk. Keep records of which signals worked and which failed so you can learn its actual behavior rather than what you hope it does.
Settings Guidance
The default threshold of 40 seems reasonable for 15 minute charts in normal volatility. Going lower will increase signals but also increase noise. Going higher will reduce signals and may cause you to miss opportunities. I do not have data to recommend optimal settings.
The smoothing period of 5 is a compromise between responsiveness and stability. Lower numbers like 3 will be jumpier. Higher numbers like 7 will be smoother but slower. Again no data on what works best.
You can disable components if you want simpler scoring. For example if you only care about divergence and support you can turn off volume and POC. This will make scores lower overall but more focused on specific patterns.
Development Status
This indicator was built in a few hours as an experiment. It has not gone through rigorous testing or optimization. There are known issues that need fixing particularly the lag problem. I may continue developing it or I may abandon it. No guarantees on updates or support.
The code is provided as is. If you modify it or break it that is on you. The calculations could have bugs I have not found. The logic might be flawed in ways I have not realized.
Bottom Line
This is an experimental multi-factor fear indicator with significant limitations including lag, untested performance, and complexity. It might provide some useful context when combined with solid price action analysis and risk management. It will not make you money by itself. It will produce false signals and miss real opportunities. Use it as supplementary information at best and do not rely on it for trading decisions without your own analysis. If you use it, track results carefully and be skeptical of what it tells you until you have proven to yourself that it adds value to your process.
CTA Flow Replicator [Institutional Speeds]Decoding the Black Box: Commodity Trading Advisors (CTAs) control hundreds of billions of dollars in systematic capital. Their buying and selling are not based on news or fundamentals, but on trend signals. This guide allows you to replicate those signals. By monitoring three specific 'Trend Speeds' (20, 50, and 120-day averages) and key volatility filters, you can visualize exactly where institutional algorithms are likely to buy the dip or force a sell-off.
This script automatically plots the "Three Speeds" (20, 50, 120), color-codes the background based on the "Zone" you are in (Max Long vs. Danger), and flags High Volatility regimes using VIX data.
How to Read the Indicator on Your Chart:
Green Line (20 SMA): The "Gas Pedal." If we are above this, CTAs are pressing longs.
Orange Line (50 SMA): The "Brake." If we break this, the selling starts.
Red Line (120 SMA): The "Floor." Watch for bounces here.
Background Colors:
Green Zone: Safe to hold/buy dips.
Yellow Zone: Trimming/Cash. Be careful.
Red Zone: Short/Hedging only.
Grey Zone: High Volatility (VIX > 20). Even if the trend is up, the background turns grey to warn you that "Risk is High" and position sizing should be smaller.
Advanced Market Profile & S/R Zones (Pro)Advanced Market Profile & S/R Zones
This indicator brings professional Auction Market Theory to your chart using a custom rolling Volume Profile algorithm. Unlike standard profiles that remain fixed, this tool dynamically calculates the "Fair Value" of the asset based on your specific lookback period (e.g., the last 100 bars).
It automatically highlights the Point of Control (POC), Value Area (VA), and suggests statistical Discount (Buy) and Premium (Sell) zones.
Key Features
Volume Splitting Algorithm:
Most basic scripts dump the entire volume of a candle into a single price point (the average). This script splits the volume across the candle's entire High-Low range. This results in a much smoother, higher-resolution bell curve that accurately reflects price action, especially on higher timeframes like Monthly charts.
Auto-generated Zones:
Green Zone (Discount): Prices below the Value Area Low (VAL). Statistically "cheap."
Red Zone (Premium): Prices above the Value Area High (VAH). Statistically "expensive."
Real-Time Dashboard:
A built-in panel displays the exact price levels for the POC, VAH, and VAL for precise limit order placement, along with the current Market Trend.
How to Use
For Intraday (Day Trading):
Settings: Set Lookback to 100 - 300.
Strategy: Watch for price to open outside the Value Area. If price breaks back inside the Value Area, target the POC (Red Line).
For Macro (Monthly/Weekly Charts):
Settings: Set Lookback to 12 (1 Year) or 60 (5 Years).
Strategy: Identify multi-year structural support. When a monthly candle enters the Green Discount Zone of a 5-year profile, it is often a high-probability institutional entry point.
Trend Logic
The Dashboard indicates trend based on price location relative to value:
Strong Bullish: Price is accepted ABOVE the Value Area.
Strong Bearish: Price is accepted BELOW the Value Area.
Neutral / In VA: Price is chopping inside the Value Area.
Disclaimer
This is a "Rolling Profile." It calculates the profile based on the current lookback window relative to the latest bar. As new bars form, the lookback window shifts, and the profile updates to reflect the new dataset.
RS vs Benchmark (SPX / IPSA)Relative Strength de la acción sobre el índice, permite seleccionar entre SPX e IPSA
Swing High/Low with Trend & BOSSwing High/Low Indicator with Multi-Timeframe Trend Analysis
This indicator identifies swing highs and swing lows on the chart with visual labels and connecting lines, plus provides trend analysis across multiple timeframes.
FEATURES:
- Swing High Detection: Green "H" labels mark pivot highs with customizable lookback periods
- Swing Low Detection: Red "L" labels mark pivot lows with customizable lookback periods
- Connection Lines: Visual lines connect consecutive swing points for easy trend visualization
- Multi-Timeframe Panel: Displays trend direction (Bullish/Bearish) for 1H and 4H timeframes
- Break of Structure (BOS): Shows whether price has recently broken key levels on higher timeframes
SETTINGS:
- Left Bars: Number of bars to the left for pivot detection (default: 10)
- Right Bars: Number of bars to the right for pivot detection (default: 10)
- Show Connection Lines: Toggle to show/hide lines connecting swing points
USAGE:
Use this indicator to identify key swing points for support/resistance levels, trend analysis, and potential reversal zones. The multi-timeframe panel helps confirm trend direction across different time horizons.
NOTES:
- Works best on active markets with sufficient price movement
- Swing points are confirmed after the specified number of right bars
- BOS detection uses EMA crossovers and recent high/low breaks
Multi Timeframe Bollinger Bands Spectrum [Ata]Multi-Timeframe Bollinger Bands Spectrum
Technical Overview
This script integrates multi-timeframe volatility analysis with volume-derived order flow estimation. By combining Bollinger Bands (statistical deviation) with internal candle volume logic, the indicator qualifies price movements to differentiate between sustained trends, reversals, and exhaustion events.
The system is designed to provide a structural context for price action, visualizing market regimes through a dual-zone spectrum and filtering signals based on the interaction between price location and specific volume thresholds.
Core Logic & Calculation
1. Volume Decomposition Algorithm
Instead of using total volume, the script estimates Buying Pressure vs. Selling Pressure based on the close position relative to the candle's High/Low range:
- Buying Volume (vb): Increases as the close approaches the High.
- Selling Volume (vs): Increases as the close approaches the Low.
This logic allows the detection of directional flow even within standard volume bars.
2. Statistical Spectrum
The indicator renders deviations from the Basis (SMA) as two distinct zones:
- Bullish Zone (Blue): Price positioning between the Basis and Upper Band.
- Bearish Zone (Red): Price positioning between the Basis and Lower Band.
This structure is applied across multiple timeframes (overlay) to visualize the macro trend context without noise.
3. Non-Repainting Execution
To ensure historical accuracy and reliability for backtesting, all higher-timeframe data is requested using "lookahead_off". Signals are confirmed only upon the closure of the respective timeframe's candle.
Signal Definitions
Signals are generated only when specific Volatility and Volume conditions intersect:
Reversal Setups (Reaction to Liquidity)
- WALL: Triggered when price rejects the Upper Band accompanied by Extreme Selling Volume (vs > Limit). This suggests active limit sell orders absorbing the rally.
- FLOOR: Triggered when price rejects the Lower Band accompanied by Extreme Buying Volume (vb > Limit). This suggests active limit buy orders absorbing the drop.
- ABSORP: Identifies absorption near the lower bands where selling pressure is met with passive buying (indicated by lower wicks and relative buy volume).
Momentum Setups (Trend Continuation)
- POWER: Validates a breakout above the Upper Band only if supported by Dominant Buying Volume and a strong candle body.
- PANIC: Validates a breakdown below the Lower Band only if supported by Dominant Selling Volume.
- TRAP: Marks failed breakouts where price exits the bands but volume analysis contradicts the move (e.g., low directional volume).
Exhaustion Setups (Statistical Extremes)
- CLIMAX/CRASH: Identifies anomalies where price deviates significantly from the mean (Extreme Deviation) or when volume reaches unsustainable levels relative to the average, often preceding a mean reversion.
Input Parameters
- Bollinger Logic: Configuration for Length and Standard Deviation Multiplier.
- Volume Thresholds: Adjustable factors for Minimum Volume (Trend) and Extreme Volume (Reversal/Climax).
- Timeframe Layers: Toggle visibility for up to 5 higher timeframes.
- Theme: Adjusts label contrast for Dark/Light backgrounds.
Disclaimer
This indicator is strictly for analytical purposes. It provides a visualization of past market data based on statistical and volumetric formulas. Users should apply their own risk management protocols.
STRATEGY 1 │ Red Dragon │ Model 1 │ [Titans_Invest]The Red Dragon Model 1 is a fully automated trading strategy designed to operate BTC/USDT.P on the 4-hour chart with precision, stability, and consistency. It was built to deliver reliable behavior even during strong market movements, maintaining operational discipline and avoiding abrupt variations that could interfere with the trader’s decision-making.
Its core is based on a professionally engineered logical structure that combines trend filters, confirmation criteria, and balanced risk management. Every component was designed to work in an integrated way, eliminating noise, avoiding unnecessary trades, and protecting capital in critical moments. There are no secret mechanisms or hidden logic: everything is built to be objective, clean, and efficient.
Even though it is based on professional quantitative engineering, Red Dragon Model 1 remains extremely simple to operate. All logic is clearly displayed and fully accessible within TradingView itself, making it easy to understand for both beginners and experienced traders. The structure is organized so that any user can quickly view entry conditions, exit criteria, additional filters, adjustable parameters, and the full mechanics behind the strategy’s behavior.
In addition, the architecture was built to minimize unnecessary complexity. Parameters are straightforward, intuitive, and operate in a balanced way without requiring deep adjustments or advanced knowledge. Traders have full freedom to analyze the strategy, understand the logic, and make personal adaptations if desired—always with total transparency inside TradingView.
The strategy was also designed to deliver consistent operational behavior over the long term. Its confirmation criteria reduce impulsive trades; its filters isolate noise; and its overall logic prioritizes high-quality entries in structured market movements. The goal is to provide a stable, clear, and repeatable flow—essential characteristics for any medium-term quantitative approach.
Combining clarity, professional structure, and ease of use, Red Dragon Model 1 offers a solid foundation both for users who want a ready-to-use automated strategy and for those looking to study quantitative models in greater depth.
This entire project was built with extreme dedication, backed by more than 14,000 hours of hands-on experience in Pine Script, continuously refining patterns, techniques, and structures until reaching its current level of maturity. Every line of code reflects this long process of improvement, resulting in a strategy that unites professional engineering, transparency, accessibility, and reliable execution.
🔶 MAIN FEATURES
• Fully automated and robust: Operates without manual intervention, ideal for traders seeking consistency and stability. It delivers reliable performance even in volatile markets thanks to the solid quantitative engineering behind the system.
• Multiple layers of confirmation: Combines 10 key technical indicators with 15 adaptive filters to avoid false signals. It only triggers entries when all trend, market strength, and contextual criteria align.
• Configurable and adaptable filters: Each of the 15 filters can be enabled, disabled, or adjusted by the user, allowing the creation of personalized statistical models for different assets and timeframes. This flexibility gives full freedom to optimize the strategy according to individual preferences.
• Clear and accessible logic: All entry and exit conditions are explicitly shown within the TradingView parameters. The strategy has no hidden components—any user can quickly analyze and understand each part of the system.
• Integrated exclusive tools: Includes complete backtest tables (desktop and mobile versions) with annualized statistics, along with real-time entry conditions displayed directly on the chart. These tools help monitor the strategy across devices and track performance and risk metrics.
• No repaint: All signals are static and do not change after being plotted. This ensures the trader can trust every entry shown without worrying about indicators rewriting past values.
🔷 ENTRY CONDITIONS & RISK MANAGEMENT
Red Dragon Model 1 triggers buy (long) or sell (short) signals only when all configured conditions are satisfied. For example:
• Volume:
• The system only trades when current volume exceeds the volume moving average multiplied by a user-defined factor, indicating meaningful market participation.
• RSI:
• Confirms bullish bias when RSI crosses above its moving average, and bearish bias when crossing below.
• ADX:
• Enters long when +DI is above –DI with ADX above a defined threshold, indicating directional strength to the upside (and the opposite conditions for shorts).
• Other indicators (MACD, SAR, Ichimoku, Support/Resistance, etc.)
Each one must confirm the expected direction before a final signal is allowed.
When all bullish criteria are met simultaneously, the system enters Long; when all criteria indicate a bearish environment, the system enters Short.
In addition, the strategy uses fixed Take Profit and Stop Loss targets for risk control:
Currently: TP around 1.5% and SL around 2.0% per trade, ensuring consistent and transparent risk management on every position.
⚙️ INDICATORS
__________________________________________________________
1) 🔊 Volume: Avoids trading on flat charts.
2) 🍟 MACD: Tracks momentum through moving averages.
3) 🧲 RSI: Indicates overbought or oversold conditions.
4) 🅰️ ADX: Measures trend strength and potential entry points.
5) 🥊 SAR: Identifies changes in price direction.
6) ☁️ Cloud: Accurately detects changes in market trends.
7) 🌡️ R/F: Improves trend visualization and helps avoid pitfalls.
8) 📐 S/R: Fixed support and resistance levels.
9)╭╯MA: Moving Averages.
10) 🔮 LR: Forecasting using Linear Regression.
__________________________________________________________
🟢 ENTRY CONDITIONS 🔴
__________________________________________________________
IF all conditions are 🟢 = 📈 Long
IF all conditions are 🔴 = 📉 Short
__________________________________________________________
🚨 CURRENT TRIGGER SIGNAL 🚨
__________________________________________________________
🔊 Volume
🟢 LONG = (volume) > (MA_volume) * (Volume Mult)
🔴 SHORT = (volume) > (MA_volume) * (Volume Mult)
🧲 RSI
🟢 LONG = (RSI) > (RSI_MA)
🔴 SHORT = (RSI) < (RSI_MA)
🟢 ALL ENTRY CONDITIONS AVAILABLE 🔴
__________________________________________________________
🔊 Volume
🟢 LONG = (volume) > (MA_volume) * (Volume Mult)
🔴 SHORT = (volume) > (MA_volume) * (Volume Mult)
🔊 Volume
🟢 LONG = (volume) > (MA_volume) * (Volume Mult) and (close) > (open)
🔴 SHORT = (volume) > (MA_volume) * (Volume Mult) and (close) < (open)
🍟 MACD
🟢 LONG = (MACD) > (Signal Smoothing)
🔴 SHORT = (MACD) < (Signal Smoothing)
🧲 RSI
🟢 LONG = (RSI) < (Upper)
🔴 SHORT = (RSI) > (Lower)
🧲 RSI
🟢 LONG = (RSI) > (RSI_MA)
🔴 SHORT = (RSI) < (RSI_MA)
🅰️ ADX
🟢 LONG = (+DI) > (-DI) and (ADX) > (Treshold)
🔴 SHORT = (+DI) < (-DI) and (ADX) > (Treshold)
🥊 SAR
🟢 LONG = (close) > (SAR)
🔴 SHORT = (close) < (SAR)
☁️ Cloud
🟢 LONG = (Cloud A) > (Cloud B)
🔴 SHORT = (Cloud A) < (Cloud B)
☁️ Cloud
🟢 LONG = (Kama) > (Kama )
🔴 SHORT = (Kama) < (Kama )
🌡️ R/F
🟢 LONG = (high) > (UP Range) and (upward) > (0)
🔴 SHORT = (low) < (DOWN Range) and (downward) > (0)
🌡️ R/F
🟢 LONG = (high) > (UP Range)
🔴 SHORT = (low) < (DOWN Range)
📐 S/R
🟢 LONG = (close) > (Resistance)
🔴 SHORT = (close) < (Support)
╭╯MA2️⃣
🟢 LONG = (Cyan Bar MA2️⃣)
🔴 SHORT = (Red Bar MA2️⃣)
╭╯MA2️⃣
🟢 LONG = (close) > (MA2️⃣)
🔴 SHORT = (close) < (MA2️⃣)
╭╯MA2️⃣
🟢 LONG = (Positive MA2️⃣)
🔴 SHORT = (Negative MA2️⃣)
__________________________________________________________
🎯 TP / SL 🛑
__________________________________________________________
🎯 TP: 1.5 ％
🛑 SL: 2.0 ％
__________________________________________________________
🪄 UNIQUE FEATURES OF THIS STRATEGY
____________________________________
1) 𝄜 Table Backtest for Mobile.
2) 𝄜 Table Backtest for Computer.
3) 𝄜 Table Backtest for Computer & Annual Performance.
4) 𝄜 Live Entry Conditions.
1) 𝄜 Table Backtest for Mobile.
2) 𝄜 Table Backtest for Computer.
3) 𝄜 Table Backtest for Computer & Annual Performance.
4) 𝄜 Live Entry Conditions.
_____________________________
𝄜 BACKTEST / PERFORMANCE 𝄜
_____________________________
• Net Profit: +634.47%, Maximum Drawdown: -18.44%.
🪙 PAIR / TIMEFRAME ⏳
🪙 PAIR: BINANCE:BTCUSDT.P
⏳ TIME: 4 hours (240m)
✅ ON ☑️ OFF
✅ LONG
✅ SHORT
🎯 TP / SL 🛑
🎯 TP: 1.5 (％)
🛑 SL: 2.0 (％)
⚙️ CAPITAL MANAGEMENT
💸 Initial Capital: 10000 $ (TradingView)
💲 Order Size: 10 ％ (Of Equity)
🚀 Leverage: 10 x (Exchange)
💩 Commission: 0.03 ％ (Exchange)
📆 BACKTEST
🗓️ Start: Setember 24, 2019
🗓️ End: November 21, 2025
🗓️ Days: 2250
🗓️ Yers: 6.17
🗓️ Bars: 13502
📊 PERFORMANCE
💲 Net Profit: + 63446.89 $
🟢 Net Profit: + 634.47 ％
💲 DrawDown Maximum: - 10727.48 $
🔴 DrawDown Maximum: - 18.44 ％
🟢 Total Closed Trades: 1042
🟡 Percent Profitable: 63.92 ％
🟡 Profit Factor: 1.247
💲 Avg Trade: + 60.89 $
⏱️ Avg # Bars in Trades
🕯️ Avg # Bars: 4
⏳ Avg # Hrs: 15
✔️ Trades Winning: 666
❌ Trades Losing: 376
✔️ Maximum Consecutive Wins: 11
❌ Maximum Consecutive Losses: 7
📺 Live Performance : br.tradingview.com
• Use this strategy on the recommended pair and timeframe above to replicate the tested results.
• Feel free to experiment and explore other settings, assets, and timeframes.
DeltaATR + VWAP DIF + MA'sI attempted to create an indicator using a different approach to analyzing potential trend reversals, and although it is still a work in progress, it is already fully functional. The indicator combines the price relative to VWAP with ATR normalization, providing a way to measure deviations in terms of market volatility.
How the indicator works:
Delta Calculation:
The core of the indicator calculates the difference between the current price and the VWAP (Volume Weighted Average Price), then normalizes this difference by the ATR (Average True Range). This provides a volatility-adjusted measure of how far the price has moved relative to its typical range.
Histogram Visualization:
The deltaATR is displayed as a histogram, where positive values indicate the price is above VWAP and negative values indicate it is below. The histogram is color-coded for easy interpretation: typically red for above VWAP and green for below, with configurable transparency.
Dual Moving Averages:
Two moving averages (fast and slow) are applied to the deltaATR. This creates a crossover system:
When the fast average crosses above the slow average, it may indicate an upcoming bullish reversal.
When the fast average crosses below the slow average, it may indicate a potential bearish reversal.
Zero Line Reference:
A reference line at zero corresponds to VWAP, helping traders see whether price is generally above or below the average volume-weighted level.
Alert Lines (Optional Panel):
A second panel provides four configurable alert lines, allowing users to set key thresholds to monitor extreme deltaATR values. These lines are thin, dashed, and fully customizable in terms of color and thickness.
Panel for Values and Signals:
The indicator includes a side panel showing:
Current deltaATR
Fast and slow averages
Current trend signal (Bullish, Bearish, or Neutral)
How it can be used:
Identify potential trend reversals by monitoring the crossover between the fast and slow averages of deltaATR.
Use the histogram to observe when the price is deviating significantly from VWAP in terms of ATR.
Set alert lines for specific thresholds to highlight overextended conditions or significant volatility moves.
Combine with other technical indicators for confirmation before entering or exiting trades.
This indicator is particularly useful for traders looking to anticipate reversals in volatile markets, as it adapts the delta measure to the current market conditions using ATR normalization, making it more responsive and robust than raw price deviations alone.
Trend + Fibo Zone + Session Monitor🎯 FEATURES
📊 DASHBOARD:
H4 TREND: BULL / BEAR / NEUTRAL
FIBO ZONE: IN ZONE / OUT ZONE (GOLDEN ZONE) 50-61.8%
SESSION: LONDON/NY / ASIA/NIGHT
PRICE LEVEL: Position vs. Fibonacci
📈 VISUALIZATION:
Colored Fibonacci Levels
Highlighted 50%-61.8% Zone
Trend indicator (columns) can be removed if not needed or for a clearer chart
Real-time labels
One Leg Scalper, Aren TradingOne Leg Scalper — Precision Buy/Sell Signals for Every Market:
One Leg Scalper is a clean, fast and lightweight signal-based indicator designed for traders who want simple, accurate, rule-based entries without noise or chart clutter.
This tool detects a unique three-point market formation and automatically generates Buy or Sell signals when price confirms the structure with momentum.
It works on all markets (Crypto, Forex, Indices, Commodities) and on all timeframes, including scalping charts such as 1s,5s, 15s, 1m, 5m....
No complicated settings.
No repainting beyond the natural pivot confirmation.
Just clear signals based on price structure.
Key Features
✔ Automatic Buy & Sell signals:
Signals appear only after the market completes a verified structure and confirms it with price action.
✔ Works on all timeframes (including seconds):
Ultra-fast reactions for scalpers + higher-timeframe confirmation for swing traders.
✔ Non-intrusive chart design:
No extra shapes or distracting drawings — only clean labels placed exactly where they matter.
✔ Multi-market support:
Crypto, Forex, Stocks, Indices, Metals, Futures — fully compatible with every chart on TradingView.
✔ Smart internal filtering (three filters):
Reduces noise and ignores weak structures to focus only on meaningful setups.
How it Works (Simple Version — No Mechanism Revealed)
The indicator continuously tracks price structure and identifies a specific pattern formed by three market swing points.
When this structure completes and price confirms it, the indicator prints:
Buy → when bullish validation occurs
Sell → when bearish validation occurs
This ensures signals are triggered only after confirmation, avoiding premature or fake setups.
🔥free trial is available
“A 3-day free trial is available upon request.
Message me to unlock temporary access and test the indicator in real market conditions.”
Repainting Notice
The indicator waits for confirmed swing points, which requires a few bars of confirmation.
This is normal behavior for all pivot-based tools and does not repaint after confirmation.
Version 1.0 — Initial Release
Added delay confirmation settings.
Added minimum distance & price-difference filters.
Added customizable labels and alerts.
Early-signal raw-bar system (no repaint).
Optimized pivot storage for performance.
Disclaimer:
This indicator is a tool for technical analysis. Trading involves risk. Always use proper risk management and never risk more than you can afford to lose.
Labden Swing 1.0Labden Swing Indicator, non real-time. good with semafor, ema 12 & 26 stochastic rsi and macd
MTF Scalper - alemicihanMulti-Timeframe Scalper Strategy: Aligning the Big Picture for Quick Gains
This article presents a robust futures trading strategy designed for high-frequency scalping in the crypto market. It’s built on the principle of minimizing risk by ensuring that short-term entries are always aligned with the dominant, higher-timeframe trend.
The Core Concept: Alignment is Key
A Balanced Trend Follower approach, now refined for rapid scalping, uses a Multi-Timeframe (MTF) confirmation system to filter out market noise and increase the probability of a successful trade.
The strategy operates on a Low Timeframe (LTF) chart (e.g., 3m, 5m, or 15m) but only executes trades if the direction is validated by three Higher Timeframes (HTF).
ComponentPurposeFunctionHTF (D, 4h, 1h) EMA => Trend Confirmation =>Checks if the current price is above/below all three Exponential Moving Averages (EMA 20). This provides a strong directional bias.
LTF (5m) Stochastic RSI => Momentum Entry => Generates the actual buy/sell signal by spotting a swift crossover, indicating fresh momentum in the direction of the confirmed HTF trend.
How The Signal Is Generated
Trend Alignment: The system first confirms the trend. If the price is trading above the Daily, 4-Hour, and 1-Hour EMAs, the market is deemed to be in a Strong LONG Trend. Only LONG signals are permitted.
Momentum Trigger: Once the trend is confirmed, a Long Signal is generated only when the Stochastic K-Line crosses above the D-Line, indicating a momentum shift (a pullback ending) towards the main trend direction.
Short Signal: The inverse logic applies to the Short Trend confirmation and entry signal.
Mandatory Risk Management: ATR-Based Exit
Given the high leverage nature of futures and scalping, static Stop-Loss (SL) and Take-Profit (TP) levels are inefficient. This strategy uses the Average True Range (ATR) indicator to dynamically set profit and loss targets based on current market volatility.
Stop Loss (SL): Set dynamically at 1.5 x ATR below (for long) or above (for short) the entry price. This gives the trade enough room to breathe without risking excessive capital.
Take Profit (TP): Set dynamically at 3.0 x ATR, establishing a robust Risk-to-Reward Ratio of 1:2.
Final Thoughts on Testing
This sophisticated approach combines the reliability of MTF analysis with the speed of momentum indicators. However, data analysis is key. Backtesting these parameters (EMA, ATR Multipliers, RSI/Stochastic lengths) on your chosen asset (like BTC/USDT or ETH/USDT) and timeframe is crucial to achieving optimal performance.
Change in State of Delivery CISD [AlgoAlpha]🟠 OVERVIEW
This script tracks how price “changes delivery” after failed attempts to push in one direction. It builds swing levels from pivots, watches for those levels to be wicked, and then checks if price delivers cleanly in the opposite direction. When the pattern meets the script’s tolerance rules, it marks a Change in State of Delivery (CISD). These CISD levels are drawn as origin lines and are used to spot shifts in intent, failed pushes, and continuation attempts. A CISD becomes stronger when it forms after opposing liquidity is swept within a defined lookback.
🟠 CONCEPTS
The script first defines structure using swing highs/lows. These levels act as potential liquidity points. When price wicks through a swing, the script registers a mitigation event. After this, it looks for a reversal-style candle sequence: a failed push, followed by a counter-move strong enough to pass a tolerance ratio. This ratio compares how far price expanded away from the failed attempt versus the counter-move that followed. If the ratio is high enough, this becomes a CISD. The idea is simple: liquidity interaction sets context , and the tolerance logic identifies actual intent . CISD levels and sweep markers combine these two ideas into a clean map of where delivery flipped.
🟠 FEATURES
Liquidity tracking: marks swing highs/lows and updates them until expiry
Liquidity sweep confirmation when CISD aligns with recent mitigations
Alert conditions for all key events: mitigations, CISDs, and strong CISDs
🟠 USAGE
Setup : Add the script to your chart. Use it on any timeframe where swing behavior matters. Set the Swing Period for how wide a pivot must be. Set Noise Filter to control how strict the CISD detection is. Liquidity Lookback defines how recent a wick must be to confirm a sweep.
Read the chart : Origin lines mark where the CISD began. A green line signals bullish intent; a red line signals bearish intent. ▲ and ▼ shapes show CISDs that form after liquidity is swept, these mark strong signals for potential entry. Swing dots show recent swing highs/lows. Candle colors follow the latest CISD trend.
Settings that matter : Increasing Swing Period produces fewer but stronger swings. Raising Noise Filter requires cleaner counter-moves and reduces false CISDs. Liquidity Lookback controls how strict the sweep confirmation is. Expiry Bars decides how long swing levels remain active.
