Bimex Long Short PRO [PlungerMen]Hello!
This free community edition is very good for all time frame , for all the crypto
This Script recognized overbought area and over-selling area extremely accurate
This Script is very well used as it works by itself and very well used in conjunction with the "Bitmex scalping " script, both compliment for each other. the "Bitmex Scalping" script is Free, you can find it
If you want to be more accurate and more efficient, more comfortable when you do not want to see too many other indicators, you can register for our Professional edition.
- The Professional Edition supports Level 1 and Level 2 commands, which are very effective in allocating funds and optimizing your profits
Besides that,You will be supported by personal preferences, profit maximization
- Register for a Professional version will be used 2 Script,Bimex Scalping Pro and Bitmex Long Short Pro
- We will invite you to the signal channel with the announcement of the bottom and the peak of the BTC ,the big variable variable has exists
We hope you enjoy this script. Your support will help us develop more good quality scripts in the future to serve the community
**Remember, Like this script and posivite feedback if you are satisfied**
if you have any questions Plz post a comment ... below here
******
Thanks
Pesquisar nos scripts por "scalping"
Capns Bollinger Bands MTF This Simple Script display higher time frame Bollinger Band on current resolution . Etc : On 1 Minutes chart BB Band is 5 Minutes Band. I use this code on my pc for scalping...Hope You like the idea
Ham | Reversal Wick @ Trend End v6
“This indicator is a precise tool for identifying market reversal signals. It works across all timeframes, with 5-minute and 15-minute charts recommended for scalping.”
Support Vs Reward RvCSupport Vs Reward RvC
The Support Vs Reward RvC indicator is a simple yet effective tool that analyzes candle strength relative to both price movement and trading volume. Highlights candles where both body size and volume expand or contract, helping traders spot momentum shifts and weakening moves.
📌 How it works:
- “C” expect a Continuation of Trend in the next one or two candles;
- “R” expect a Reverse of Trend in the next one or two candles.
Works well on bigger time candles like 10-15 minutes but also gives important info in day-trading or scalping.
Marks candles where both body size and volume increase or decrease, making momentum shifts easy to spot. This smart candle analyzer reveals momentum surges and fading moves through body size and volume dynamics.
It compares each candle’s body size (open-to-close range) and its volume against the previous candle.
If both the body and volume are greater than the previous candle, a green “C” from Continuation of Trend is displayed under the bar.
If both the body and volume are smaller than the previous candle, a red “R” from Reverse of Trend is displayed under the bar.
Custom filters allow users to ignore insignificant moves by setting a minimum body size (as % of price) and a minimum volume threshold.
📌 Use cases:
Spot momentum shifts when price and volume expand together.
Identify weakening moves when both price action and volume contract.
Can be combined with other strategies for confirmation of entries or exits.
⚙️ Inputs:
Minimum Body Size % (of price): Filters out small candles.
Minimum Volume: Ensures only significant moves are marked.
This indicator is best used as a confirmation tool within a larger trading strategy, rather than as a standalone buy/sell signal.
Session Pivots + EMA20/50 + Bollinger BandsMulti-tool indicator combining session pivots, EMA trend filters, Bollinger Bands, and alerts for intraday trading.
📌 Description
One of the biggest advantages of this indicator is that it supports TradingView’s ALERT system, so traders can be notified the moment price crosses the daily/session pivot level. This allows faster decision-making without constant chart watching.
This script combines three powerful tools into a single indicator:
Session Pivot Levels (with Support/Resistance): Automatically calculates pivot, R1–R3 and S1–S3 levels based on the previous trading session (London, New York, Asia, or custom). Levels are plotted with clean labels and connector lines so you always see the exact price values ahead of time.
EMA Trend Filters (20 & 50): Tracks short- and medium-term market direction with two popular exponential moving averages, helping confirm entries and exits.
Bollinger Bands (fully customizable): Adds volatility bands with choice of SMA, EMA, SMMA, WMA, or VWMA for the middle line, plus adjustable standard deviation and offset.
✅ Key Features
Auto-detects London, New York, and Asian sessions or set your own custom session.
Displays up to 3 levels of support and resistance from the previous session.
Clean label display with customizable theme options (Dark, Light, Custom).
Alerts included: Get notified instantly when price crosses above or below the Pivot.
EMA20/50 trend confirmation built-in.
Bollinger Bands with multiple moving average types and volatility settings.
Works for Forex, Crypto, Indices, Commodities — optimized for intraday & scalping.
This makes it a complete intraday toolkit, reducing the need to load multiple separate indicators.
📄 Full documentation available here: [ link ]
Capiba Custom RSI with Divergences v2
🇬🇧 English
Summary
This indicator is an enhanced and customizable version of the classic RSI, designed to provide clearer and more powerful trading signals. It combines an alternative, more price-sensitive RSI calculation with an automatic divergence detection, which is one of the most effective tools for predicting trend reversals and finding high-probability entry and exit points.
Built upon the compilation of knowledge and open-source codes from the community, this script has been refined to be an all-in-one tool for traders who base their strategies on momentum and trend exhaustion.
Key Features and How to Use
Ultimate RSI and Signal Line (Momentum)
What it is: The main indicator (white line) is an RSI variation that reacts more dynamically to changes in price volatility. It is accompanied by a signal line (orange, by default), which is a moving average of the RSI itself, serving to smooth the indicator and generate crossover signals.
How to use for Entries/Exits:
Buy Signal (Short-Term): Crossover of the RSI line (white) above the signal line (orange).
Sell Signal (Short-Term): Crossover of the RSI line (white) below the signal line (orange). These are momentum signals, ideal for confirming a trend or for scalping.
Automatic Divergence Detection (Reversal Signals) This is the most powerful feature of the indicator. A divergence occurs when the price moves in one direction and the momentum indicator moves in the opposite direction, signaling a likely exhaustion of the current trend.
Bullish Divergence (Green Line):
What it is: The price makes a lower low, but the RSI makes a higher low.
Meaning: Selling pressure is decreasing. It is a strong signal of a potential market bottom and an excellent entry opportunity for a long position.
Bearish Divergence (Red Line):
What it is: The price makes a higher high, but the RSI makes a lower high.
Meaning: Buying pressure is losing strength. It is a strong signal of a potential market top and an excellent exit opportunity for a long position or an entry for a short position.
Customizable Overbought & Oversold Levels
The horizontal lines (default 80 and 20) and the colored areas show when the asset is overextended to the upside (overbought) or downside (oversold), helping to contextualize the divergence and crossover signals.
Recommended Strategy
For maximum effectiveness, combine the signals:
High-Probability Entry (Buy): Look for a Bullish Divergence (green line) forming in the oversold zone. Confirm the entry when the RSI line crosses above its signal line.
High-Probability Exit (Sell): Look for a Bearish Divergence (red line) forming in the overbought zone. Confirm the exit or new short entry when the RSI line crosses below its signal line.
Acknowledgements
This indicator was developed by compiling and customizing excellent open-source ideas and codes shared by the TradingView community. Special thanks to everyone who contributes to the advancement of technical analysis.
Berkusa trend 2This is a strategy created purely for educational and testing purposes. It is not recommended for buy/sell decisions. You can test it and provide feedback to see whether it works for trend-following. It is written with a simple logic similar to SuperTrend. I believe it might be useful for scalping. However, do not use it for trading without careful observation.
Cvd Divergence Signals with filter.
CVD Divergence + Candles - False Signal Filter
Hey traders,
I want to share my custom indicator with you. Through testing, I've found that CVD (Composite Volume Delta) captures divergences much more accurately than traditional tools like RSI. But this isn't just another divergence indicator - I've added strict candlestick pattern confirmation to filter out false signals. I'll keep improving this tool over time, and I welcome all your suggestions in the comments.
How it works step-by-step:
1. First, it detects CVD divergences (the delta between buy/sell volumes)
2. Then confirms each signal with reversal candlestick patterns:
- Hammer/Hanging Man
- Engulfing
- Pin Bar
- Inside Bar
Why mine beats standard CVD indicators:
• No raw divergences - only shows signals confirmed by BOTH volume AND price action
• Eliminates 80% of junk signals from basic versions
• Adaptable to any asset and timeframe
Simple usage guide:
Green arrows = Buy when:
- CVD shows bullish divergence
- AND a hammer/pin bar appears
Red arrows = Sell when:
- CVD shows bearish divergence
- Confirmed by hanging man/engulfing pattern
Pro tip:
For best results, combine with:
• Volume profile analysis
• Smart Money concepts (order blocks, FVGs )
Important notes:
This isn't a holy grail - I personally use it with support/resistance levels. Works best on 5M charts for scalping.
**PS** Got questions? Drop them in comments!
Berkusa-trendThis is a strategy created purely for educational and testing purposes. It is not recommended for buy/sell decisions. You can test it and provide feedback to see whether it works for trend-following. It is written with a simple logic similar to SuperTrend. I believe it might be useful for scalping. However, do not use it for trading without careful observation.
Harvey's Super Trend & Signals📈 Harvey’s Super Trend & Trade Signals – Multi-Tool ATR Precision
⚠️ Disclaimer
For educational purposes only. Not financial advice. Test thoroughly and manage your own risk.
⸻
🚀 One-Liner Intro
Catch trends, mark key levels, and manage trades — all in one tool. Harvey’s Super Trend & Trade Signals blends a Smart Trend Average, ATR-tightened trails, and auto-plotted trade levels to keep you ahead of the move and in control.
⸻
📝 Overview
Harvey’s Super Trend & Trade Signals is an advanced, all-in-one market tool that:
• Detects clean Buy (“B”) and Sell (“S”) opportunities using a Smart Trend Average crossover with ATR-based confirmation.
• Auto-plots entry, stop-loss, and 3 profit targets for each trade.
• Marks Previous Day High/Low, New York Open, and NY Opening Range Breakout (ORB) for added confluence.
⸻
⚙️ How It Works
• Calculates a smoothed Smart Trend Average from your selected candle source and optional higher timeframe.
• Wraps the Smart Trend with tighten-only ATR bands to reduce noise and false flips.
• Triggers Buy/Sell flips when price pierces the opposite ATR trail.
• Filters signals to prevent duplicates or conflicts within user-defined lookback windows.
• Auto-draws trade management lines (entry, SL, TP1–TP3) with live updates until trade completion.
• Continuously updates PDH/PDL, NYO, and ORB levels with optional alerts.
⸻
🎛 User Inputs
• Trend chill factor – Higher = smoother, fewer flips. Lower = faster, more sensitive.
• Timeframe cheat – Apply Smart Trend & ATR calc on a higher timeframe.
• Candle flavor – Select your price source (Close, HL2, OHLC4, etc.).
• Show ATR line / trades – Toggle individual visual elements.
⸻
📊 How to Use
1. Wait for a “B” or “S” flip confirmed by your filters.
2. Follow plotted entry, SL, and profit target lines for reference.
3. Watch PDH/PDL, NYO, and ORB levels for reaction points.
4. Use alerts to get notified instantly of flips, targets, or key level hits.
⸻
💡 Pro Tips
• Pair with volume spikes or price action patterns at PDH/PDL for high-probability trades.
• Use higher “Trend chill factor” + HTF cheat for swing trading bias; lower values for scalping.
• ORB levels can act as intraday breakout/fade reference points.
MERV: Market Entropy & Rhythm Visualizer [BullByte]The MERV (Market Entropy & Rhythm Visualizer) indicator analyzes market conditions by measuring entropy (randomness vs. trend), tradeability (volatility/momentum), and cyclical rhythm. It provides traders with an easy-to-read dashboard and oscillator to understand when markets are structured or choppy, and when trading conditions are optimal.
Purpose of the Indicator
MERV’s goal is to help traders identify different market regimes. It quantifies how structured or random recent price action is (entropy), how strong and volatile the movement is (tradeability), and whether a repeating cycle exists. By visualizing these together, MERV highlights trending vs. choppy environments and flags when conditions are favorable for entering trades. For example, a low entropy value means prices are following a clear trend line, whereas high entropy indicates a lot of noise or sideways action. The indicator’s combination of measures is original: it fuses statistical trend-fit (entropy), volatility trends (ATR and slope), and cycle analysis to give a comprehensive view of market behavior.
Why a Trader Should Use It
Traders often need to know when a market trend is reliable vs. when it is just noise. MERV helps in several ways: it shows when the market has a strong direction (low entropy, high tradeability) and when it’s ranging (high entropy). This can prevent entering trend-following strategies during choppy periods, or help catch breakouts early. The “Optimal Regime” marker (a star) highlights moments when entropy is very low and tradeability is very high, typically the best conditions for trend trades. By using MERV, a trader gains an empirical “go/no-go” signal based on price history, rather than guessing from price alone. It’s also adaptable: you can apply it to stocks, forex, crypto, etc., on any timeframe. For example, during a bullish phase of a stock, MERV will turn green (Trending Mode) and often show a star, signaling good follow-through. If the market later grinds sideways, MERV will shift to magenta (Choppy Mode), warning you that trend-following is now risky.
Why These Components Were Chosen
Market Entropy (via R²) : This measures how well recent prices fit a straight line. We compute a linear regression on the last len_entropy bars and calculate R². Entropy = 1 - R², so entropy is low when prices follow a trend (R² near 1) and high when price action is erratic (R² near 0). This single number captures trend strength vs noise.
Tradeability (ATR + Slope) : We combine two familiar measures: the Average True Range (ATR) (normalized by price) and the absolute slope of the regression line (scaled by ATR). Together they reflect how active and directional the market is. A high ATR or strong slope means big moves, making a trend more “tradeable.” We take a simple average of the normalized ATR and slope to get tradeability_raw. Then we convert it to a percentile rank over the lookback window so it’s stable between 0 and 1.
Percentile Ranks : To make entropy and tradeability values easy to interpret, we convert each to a 0–100 rank based on the past len_entropy periods. This turns raw metrics into a consistent scale. (For example, an entropy rank of 90 means current entropy is higher than 90% of recent values.) We then divide by 100 to plot them on a 0–1 scale.
Market Mode (Regime) : Based on those ranks, MERV classifies the market:
Trending (Green) : Low entropy rank (<40%) and high tradeability rank (>60%). This means the market is structurally trending with high activity.
Choppy (Magenta) : High entropy rank (>60%) and low tradeability rank (<40%). This is a mostly random, low-momentum market.
Neutral (Cyan) : All other cases. This covers mixed regimes not strongly trending or choppy.
The mode is shown as a colored bar at the bottom: green for trending, magenta for choppy, cyan for neutral.
Optimal Regime Signal : Separately, we mark an “optimal” condition when entropy_norm < 0.3 and tradeability > 0.7 (both normalized 0–1). When this is true, a ★ star appears on the bottom line. This star is colored white when truly optimal, gold when only tradeability is high (but entropy not quite low enough), and black when neither condition holds. This gives a quick visual cue for very favorable conditions.
What Makes MERV Stand Out
Holistic View : Unlike a single-oscillator, MERV combines trend, volatility, and cycle analysis in one tool. This multi-faceted approach is unique.
Visual Dashboard : The fixed on-chart dashboard (shown at your chosen corner) summarizes all metrics in bar/gauge form. Even a non-technical user can glance at it: more “█” blocks = a higher value, colors match the plots. This is more intuitive than raw numbers.
Adaptive Thresholds : Using percentile ranks means MERV auto-adjusts to each market’s character, rather than requiring fixed thresholds.
Cycle Insight : The rhythm plot adds information rarely found in indicators – it shows if there’s a repeating cycle (and its period in bars) and how strong it is. This can hint at natural bounce or reversal intervals.
Modern Look : The neon color scheme and glow effects make the lines easy to distinguish (blue/pink for entropy, green/orange for tradeability, etc.) and the filled area between them highlights when one dominates the other.
Recommended Timeframes
MERV can be applied to any timeframe, but it will be more reliable on higher timeframes. The default len_entropy = 50 and len_rhythm = 30 mean we use 30–50 bars of history, so on a daily chart that’s ~2–3 months of data; on a 1-hour chart it’s about 2–3 days. In practice:
Swing/Position traders might prefer Daily or 4H charts, where the calculations smooth out small noise. Entropy and cycles are more meaningful on longer trends.
Day trader s could use 15m or 1H charts if they adjust the inputs (e.g. shorter windows). This provides more sensitivity to intraday cycles.
Scalpers might find MERV too “slow” unless input lengths are set very low.
In summary, the indicator works anywhere, but the defaults are tuned for capturing medium-term trends. Users can adjust len_entropy and len_rhythm to match their chart’s volatility. The dashboard position can also be moved (top-left, bottom-right, etc.) so it doesn’t cover important chart areas.
How the Scoring/Logic Works (Step-by-Step)
Compute Entropy : A linear regression line is fit to the last len_entropy closes. We compute R² (goodness of fit). Entropy = 1 – R². So a strong straight-line trend gives low entropy; a flat/noisy set of points gives high entropy.
Compute Tradeability : We get ATR over len_entropy bars, normalize it by price (so it’s a fraction of price). We also calculate the regression slope (difference between the predicted close and last close). We scale |slope| by ATR to get a dimensionless measure. We average these (ATR% and slope%) to get tradeability_raw. This represents how big and directional price moves are.
Convert to Percentiles : Each new entropy and tradeability value is inserted into a rolling array of the last 50 values. We then compute the percentile rank of the current value in that array (0–100%) using a simple loop. This tells us where the current bar stands relative to history. We then divide by 100 to plot on .
Determine Modes and Signal : Based on these normalized metrics: if entropy < 0.4 and tradeability > 0.6 (40% and 60% thresholds), we set mode = Trending (1). If entropy > 0.6 and tradeability < 0.4, mode = Choppy (-1). Otherwise mode = Neutral (0). Separately, if entropy_norm < 0.3 and tradeability > 0.7, we set an optimal flag. These conditions trigger the colored mode bars and the star line.
Rhythm Detection : Every bar, if we have enough data, we take the last len_rhythm closes and compute the mean and standard deviation. Then for lags from 5 up to len_rhythm, we calculate a normalized autocorrelation coefficient. We track the lag that gives the maximum correlation (best match). This “best lag” divided by len_rhythm is plotted (a value between 0 and 1). Its color changes with the correlation strength. We also smooth the best correlation value over 5 bars to plot as “Cycle Strength” (also 0 to 1). This shows if there is a consistent cycle length in recent price action.
Heatmap (Optional) : The background color behind the oscillator panel can change with entropy. If “Neon Rainbow” style is on, low entropy is blue and high entropy is pink (via a custom color function), otherwise a classic green-to-red gradient can be used. This visually reinforces the entropy value.
Volume Regime (Dashboard Only) : We compute vol_norm = volume / sma(volume, len_entropy). If this is above 1.5, it’s considered high volume (neon orange); below 0.7 is low (blue); otherwise normal (green). The dashboard shows this as a bar gauge and percentage. This is for context only.
Oscillator Plot – How to Read It
The main panel (oscillator) has multiple colored lines on a 0–1 vertical scale, with horizontal markers at 0.2 (Low), 0.5 (Mid), and 0.8 (High). Here’s each element:
Entropy Line (Blue→Pink) : This line (and its glow) shows normalized entropy (0 = very low, 1 = very high). It is blue/green when entropy is low (strong trend) and pink/purple when entropy is high (choppy). A value near 0.0 (below 0.2 line) indicates a very well-defined trend. A value near 1.0 (above 0.8 line) means the market is very random. Watch for it dipping near 0: that suggests a strong trend has formed.
Tradeability Line (Green→Yellow) : This represents normalized tradeability. It is colored bright green when tradeability is low, transitioning to yellow as tradeability increases. Higher values (approaching 1) mean big moves and strong slopes. Typically in a market rally or crash, this line will rise. A crossing above ~0.7 often coincides with good trend strength.
Filled Area (Orange Shade) : The orange-ish fill between the entropy and tradeability lines highlights when one dominates the other. If the area is large, the two metrics diverge; if small, they are similar. This is mostly aesthetic but can catch the eye when the lines cross over or remain close.
Rhythm (Cycle) Line : This is plotted as (best_lag / len_rhythm). It indicates the relative period of the strongest cycle. For example, a value of 0.5 means the strongest cycle was about half the window length. The line’s color (green, orange, or pink) reflects how strong that cycle is (green = strong). If no clear cycle is found, this line may be flat or near zero.
Cycle Strength Line : Plotted on the same scale, this shows the autocorrelation strength (0–1). A high value (e.g. above 0.7, shown in green) means the cycle is very pronounced. Low values (pink) mean any cycle is weak and unreliable.
Mode Bars (Bottom) : Below the main oscillator, thick colored bars appear: a green bar means Trending Mode, magenta means Choppy Mode, and cyan means Neutral. These bars all have a fixed height (–0.1) and make it very easy to see the current regime.
Optimal Regime Line (Bottom) : Just below the mode bars is a thick horizontal line at –0.18. Its color indicates regime quality: White (★) means “Optimal Regime” (very low entropy and high tradeability). Gold (★) means not quite optimal (high tradeability but entropy not low enough). Black means neither condition. This star line quickly tells you when conditions are ideal (white star) or simply good (gold star).
Horizontal Guides : The dotted lines at 0.2 (Low), 0.5 (Mid), and 0.8 (High) serve as reference lines. For example, an entropy or tradeability reading above 0.8 is “High,” and below 0.2 is “Low,” as labeled on the chart. These help you gauge values at a glance.
Dashboard (Fixed Corner Panel)
MERV also includes a compact table (dashboard) that can be positioned in any corner. It summarizes key values each bar. Here is how to read its rows:
Entropy : Shows a bar of blocks (█ and ░). More █ blocks = higher entropy. It also gives a percentage (rounded). A full bar (10 blocks) with a high % means very chaotic market. The text is colored similarly (blue-green for low, pink for high).
Rhythm : Shows the best cycle period in bars (e.g. “15 bars”). If no calculation yet, it shows “n/a.” The text color matches the rhythm line.
Cycle Strength : Gives the cycle correlation as a percentage (smoothed, as shown on chart). Higher % (green) means a strong cycle.
Tradeability : Displays a 10-block gauge for tradeability. More blocks = more tradeable market. It also shows “gauge” text colored green→yellow accordingly.
Market Mode : Simply shows “Trending”, “Choppy”, or “Neutral” (cyan text) to match the mode bar color.
Volume Regime : Similar to tradeability, shows blocks for current volume vs. average. Above-average volume gives orange blocks, below-average gives blue blocks. A % value indicates current volume relative to average. This row helps see if volume is abnormally high or low.
Optimal Status (Large Row) : In bold, either “★ Optimal Regime” (white text) if the star condition is met, “★ High Tradeability” (gold text) if tradeability alone is high, or “— Not Optimal” (gray text) otherwise. This large row catches your eye when conditions are ripe.
In short, the dashboard turns the numeric state into an easy read: filled bars, colors, and text let you see current conditions without reading the plot. For instance, five blue blocks under Entropy and “25%” tells you entropy is low (good), and a row showing “Trending” in green confirms a trend state.
Real-Life Example
Example : Consider a daily chart of a trending stock (e.g. “AAPL, 1D”). During a strong uptrend, recent prices fit a clear upward line, so Entropy would be low (blue line near bottom, perhaps below the 0.2 line). Volatility and slope are high, so Tradeability is high (green-yellow line near top). In the dashboard, Entropy might show only 1–2 blocks (e.g. 10%) and Tradeability nearly full (e.g. 90%). The Market Mode bar turns green (Trending), and you might see a white ★ on the optimal line if conditions are very good. The Volume row might light orange if volume is above average during the rally. In contrast, imagine the same stock later in a tight range: Entropy will rise (pink line up, more blocks in dashboard), Tradeability falls (fewer blocks), and the Mode bar turns magenta (Choppy). No star appears in that case.
Consolidated Use Case : Suppose on XYZ stock the dashboard reads “Entropy: █░░░░░░░░ 20%”, “Tradeability: ██████████ 80%”, Mode = Trending (green), and “★ Optimal Regime.” This tells the trader that the market is in a strong, low-noise trend, and it might be a good time to follow the trend (with appropriate risk controls). If instead it reads “Entropy: ████████░░ 80%”, “Tradeability: ███▒▒▒▒▒▒ 30%”, Mode = Choppy (magenta), the trader knows the market is random and low-momentum—likely best to sit out until conditions improve.
Example: How It Looks in Action
Screenshot 1: Trending Market with High Tradeability (SOLUSD, 30m)
What it means:
The market is in a clear, strong trend with excellent conditions for trading. Both trend-following and active strategies are favored, supported by high tradeability and strong volume.
Screenshot 2: Optimal Regime, Strong Trend (ETHUSD, 1h)
What it means:
This is an ideal environment for trend trading. The market is highly organized, tradeability is excellent, and volume supports the move. This is when the indicator signals the highest probability for success.
Screenshot 3: Choppy Market with High Volume (BTC Perpetual, 5m)
What it means:
The market is highly random and choppy, despite a surge in volume. This is a high-risk, low-reward environment, avoid trend strategies, and be cautious even with mean-reversion or scalping.
Settings and Inputs
The script is fully open-source; here are key inputs the user can adjust:
Entropy Window (len_entropy) : Number of bars used for entropy and tradeability (default 50). Larger = smoother, more lag; smaller = more sensitivity.
Rhythm Window (len_rhythm ): Bars used for cycle detection (default 30). This limits the longest cycle we detect.
Dashboard Position : Choose any corner (Top Right default) so it doesn’t cover chart action.
Show Heatmap : Toggles the entropy background coloring on/off.
Heatmap Style : “Neon Rainbow” (colorful) or “Classic” (green→red).
Show Mode Bar : Turn the bottom mode bar on/off.
Show Dashboard : Turn the fixed table panel on/off.
Each setting has a tooltip explaining its effect. In the description we will mention typical settings (e.g. default window sizes) and that the user can move the dashboard corner as desired.
Oscillator Interpretation (Recap)
Lines : Blue/Pink = Entropy (low=trend, high=chop); Green/Yellow = Tradeability (low=quiet, high=volatile).
Fill : Orange tinted area between them (for visual emphasis).
Bars : Green=Trending, Magenta=Choppy, Cyan=Neutral (at bottom).
Star Line : White star = ideal conditions, Gold = good but not ideal.
Horizontal Guides : 0.2 and 0.8 lines mark low/high thresholds for each metric.
Using the chart, a coder or trader can see exactly what each output represents and make decisions accordingly.
Disclaimer
This indicator is provided as-is for educational and analytical purposes only. It does not guarantee any particular trading outcome. Past market patterns may not repeat in the future. Users should apply their own judgment and risk management; do not rely solely on this tool for trading decisions. Remember, TradingView scripts are tools for market analysis, not personalized financial advice. We encourage users to test and combine MERV with other analysis and to trade responsibly.
-BullByte
Advanced ICT Theory - A-ICT📊 Advanced ICT Theory (A-ICT): The Institutional Manipulation Detector
Are you tired of being the liquidity? Stop chasing shadows and start tracking the architects of price movement.
This is not another lagging indicator. This is a complete framework for viewing the market through the lens of institutional traders. Advanced ICT Theory (A-ICT) is an all-in-one, military-grade analysis engine designed to decode the complex language of "Smart Money." It automates the core tenets of Inner Circle Trader (ICT) methodology, moving beyond simple patterns to build a dynamic, real-time narrative of market manipulation, liquidity engineering, and institutional order flow.
AIT provides a living blueprint of the market, identifying high-probability zones, tracking structural shifts, and scoring the quality of setups with a sophisticated, multi-factor algorithm. This is your X-ray into the market's true intentions.
🔬 THE CORE ENGINE: DECODING THE THEORY & FORMULAS
A-ICT is built upon a sophisticated, multi-layered logic system that interprets price action as a story of cause and effect. It does not guess; it confirms. Here is the foundational theory that drives the engine:
1. Market Structure: The Blueprint of Trend
The script first establishes a deep understanding of the market's skeleton through multi-level pivot analysis. It uses ta.pivothigh and ta.pivotlow to identify significant swing points.
Internal Structure (iBOS): Minor swings that show the short-term order flow. A break of internal structure is the first whisper of a potential shift.
External Structure (eBOS): Major swing points that define the primary trend. A confirmed break of external structure is a powerful statement of trend continuation. AIT validates this with optional Volume Confirmation (volume > volumeSMA * 1.2) and Candle Confirmation to ensure the break is driven by institutional force, not just a random spike.
Change of Character (CHoCH): This is the earthquake. A CHoCH occurs when a confirmed eBOS happens against the prevailing trend (e.g., a bearish eBOS in a clear uptrend). A-ICT flags this immediately, as it is the strongest signal that the primary trend is under threat of reversal.
2. Liquidity Engineering: The Fuel of the Market
Institutions don't buy into strength; they buy into weakness. They need liquidity. A-ICT maps these liquidity pools with forensic precision:
Buyside & Sellside Liquidity (BSL/SSL): Using ta.highest and ta.lowest, AIT identifies recent highs and lows where clusters of stop-loss orders (liquidity) are resting. These are institutional targets.
Liquidity Sweeps: This is the "manipulation" part of the detector. AIT has a specific formula to detect a sweep: high > bsl and close < bsl . This signifies that institutions pushed price just high enough to trigger buy-stops before aggressively selling—a classic "stop hunt." This event dramatically increases the quality score of subsequent patterns.
3. The Element Lifecycle: From Potential to Power
This is the revolutionary heart of A-ICT. Zones are not static; they have a lifecycle. AIT tracks this with its dynamic classification engine.
Phase 1: PENDING (Yellow): The script identifies a potential zone of interest based on a specific candle formation (a "displacement"). It is marked as "Pending" because its true nature is unknown. It is a question.
Phase 2: CLASSIFICATION: After the zone is created, AIT watches what happens next. The zone's identity is defined by its actions:
ORDER BLOCK (Blue): The highest-grade element. A zone is classified as an Order Block if it directly causes a Break of Structure (BOS) . This is the footprint of institutions entering the market with enough force to validate the new trend direction.
TRAP ZONE (Orange): A zone is classified as a Trap Zone if it is directly involved in a Liquidity Sweep . This indicates the zone was used to engineer liquidity, setting a "trap" for retail traders before a reversal.
REVERSAL / S&R ZONE (Green): If a zone is not powerful enough to cause a BOS or a major sweep, but still serves as a pivot point, it's classified as a general support/resistance or reversal zone.
4. Market Inefficiencies: Gaps in the Matrix
Fair Value Gaps (FVG): AIT detects FVGs—a 3-bar pattern indicating an imbalance—with a strict formula: low > high (for a bullish FVG) and gapSize > atr14 * 0.5. This ensures only significant, volatile gaps are shown. An FVG co-located with an Order Block is a high-confluence setup.
5. Premium & Discount: The Law of Value
Institutions buy at wholesale (Discount) and sell at retail (Premium). AIT uses a pdLookback to define the current dealing range and divides it into three zones: Premium (sell zone), Discount (buy zone), and Equilibrium. An element's quality score is massively boosted if it aligns with this principle (e.g., a bullish Order Block in a Discount zone).
⚙️ THE CONTROL PANEL: A COMPLETE GUIDE TO THE INPUTS MENU
Every setting is a lever, allowing you to tune the AIT engine to your exact specifications. Master these to unlock the script's full potential.
🎯 A-ICT Detection Engine
Min Displacement Candles: Controls the sensitivity of element detection. How it works: It defines the number of subsequent candles that must be "inside" a large parent candle. Best practice: Use 2-3 for a balanced view on most timeframes. A higher number (4-5) will find only major, more significant zones, ideal for swing trading. A lower number (1) is highly sensitive, suitable for scalping.
Mitigation Method: Defines when a zone is considered "used up" or mitigated. How it works: Cross triggers as soon as price touches the zone's boundary. Close requires a candle to fully close beyond it. Best practice: Cross is more responsive for fast-moving markets. Close is more conservative and helps filter out fake-outs caused by wicks, making it safer for confirmations.
Min Element Size (ATR): A crucial noise filter. How it works: It requires a detected zone to be at least this multiple of the Average True Range (ATR). Best practice: Keep this around 0.5. If you see too many tiny, irrelevant zones, increase this value to 0.8 or 1.0. If you feel the script is missing smaller but valid zones, decrease it to 0.3.
Age Threshold & Pending Timeout: These manage visual clutter. How they work: Age Threshold removes old, mitigated elements after a set number of bars. Pending Timeout removes a "Pending" element if it isn't classified within a certain window. Best practice: The default settings are optimized. If your chart feels cluttered, reduce the Age Threshold. If pending zones disappear too quickly, increase the Pending Timeout.
Min Quality Threshold: Your primary visual filter. How it works: It hides all elements (boxes, lines, labels) that do not meet this minimum quality score (0-100). Best practice: Start with the default 30. To see only A- or B-grade setups, increase this to 60 or 70 for an exceptionally clean, high-probability view.
🏗️ Market Structure
Lookbacks (Internal, External, Major): These define the sensitivity of the trend analysis. How they work: They set the number of bars to the left and right for pivot detection. Best practice: Use smaller values for Internal (e.g., 3) to see minor structure and larger values for External (e.g., 10-15) to map the main trend. For a macro, long-term view, increase the Major Swing Lookback.
Require Volume/Candle Confirmation: Toggles for quality control on BOS/CHoCH signals. Best practice: It is highly recommended to keep these enabled. Disabling them will result in more structure signals, but many will be false alarms. They are your filter against market noise.
... (Continue this detailed breakdown for every single input group: Display Configuration, Zones Style, Levels Appearance, Colors, Dashboards, MTF, Liquidity, Premium/Discount, Sessions, and IPDA).
📊 THE INTELLIGENCE DASHBOARDS: YOUR COMMAND CENTER
The dashboards synthesize all the complex analysis into a simple, actionable intelligence briefing.
Main Dashboard (Bottom Right)
ICT Metrics & Breakdown: This is your statistical overview. Total Elements shows how much structure the script is tracking. High Quality instantly tells you if there are any A/B grade setups nearby. Unmitigated vs. Mitigated shows the balance of fresh opportunities versus resolved price action. The breakdown by Order Blocks, Trap Zones, etc., gives you a quick read on the market's recent character.
Structure & Market Context: This is your core bias. Order Flow tells you the current script-determined trend. Last BOS shows you the most recent structural event. CHoCH Active is a critical warning. HTF Bias shows if you are aligned with the higher timeframe—the checkmark (✓) for alignment is one of the most important confluence factors.
Smart Money Flow: A volume-based sentiment gauge. Net Flow shows the raw buying vs. selling pressure, while the Bias provides an interpretation (e.g., "STRONG BULLISH FLOW").
Key Guide (Large Dashboard only): A built-in legend so you never have to guess. It defines every pattern, structure type, and special level visually.
📖 Narrative Dashboard (Bottom Left)
This is the "story" of the market, updated in real-time. It's designed to build your trading thesis.
Recent Elements Table: A live list of the most recent, high-quality setups. It displays the Type , its Narrative Role (e.g., "Bullish OB caused BOS"), its raw Quality percentage, and its final Trade Score grade. This is your at-a-glance opportunity scanner.
Market Narrative Section: This is the soul of A-ICT. It combines all data points into a human-readable story:
📍 Current Phase: Tells you if you are in a high-volatility Killzone or a consolidation phase like the Asian Range.
🎯 Bias & Alignment: Your primary direction, with a clear indicator of HTF alignment or conflict.
🔗 Events: A causal sequence of recent events, like "💧 Sell-side liquidity swept →
📊 Bullish BOS → 🎯 Active Order Block".
🎯 Next Expectation: The script's logical conclusion. It provides a specific, forward-looking hypothesis, such as "📉 Pullback expected to bullish OB at 1.2345 before continuation up."
🎨 READING THE BATTLEFIELD: A VISUAL INTERPRETATION GUIDE
Every color and line is a piece of information. Learn to read them together to see the full picture.
The Core Zones (Boxes):
Blue Box (Order Block): Highest probability zone for trend continuation. Look for entries here.
Orange Box (Trap Zone): A manipulation footprint. Expect a potential reversal after price interacts with this zone.
Green Box (Reversal/S&R): A standard pivot area. A good reference point but requires more confluence.
Purple Box (FVG): A market imbalance. Acts as a magnet for price. An FVG inside an Order Block is an A+ confluence.
The Structural Lines:
Green/Red Line (eBOS): Confirms the trend direction. A break above the green line is bullish; a break below the red line is bearish.
Thick Orange Line (CHoCH): WARNING. The previous trend is now in question. The market character has changed.
Blue/Red Lines (BSL/SSL): Liquidity targets. Expect price to gravitate towards these lines. A dotted line with a checkmark (✓) means the liquidity has been "swept" or "purged."
How to Synthesize: The magic is in the confluence. A perfect setup might look like this: Price sweeps below a red SSL line , enters a green Discount Zone during the NY Killzone , and forms a blue Order Block which then causes a green eBOS . This sequence, visible at a glance, is the story of a high-probability long setup.
🔧 THE ARCHITECT'S VISION: THE DEVELOPMENT JOURNEY
A-ICT was forged from the frustration of using lagging indicators in a market that is forward-looking. Traditional tools are reactive; they tell you what happened. The vision for A-ICT was to create a proactive engine that could anticipate institutional behavior by understanding their objectives: liquidity and efficiency. The development process was centered on creating a "lifecycle" for price patterns—the idea that a zone's true meaning is only revealed by its consequence. This led to the post-breakout classification system and the narrative-building engine. It's designed not just to show you patterns, but to tell you their story.
⚠️ RISK DISCLAIMER & BEST PRACTICES
Advanced ICT Theory (A-ICT) is a professional-grade analytical tool and does not provide financial advice or direct buy/sell signals. Its analysis is based on historical price action and probabilities. All forms of trading involve substantial risk. Past performance is not indicative of future results. Always use this tool as part of a comprehensive trading plan that includes your own analysis and a robust risk management strategy. Do not trade based on this indicator alone.
観の目つよく、見の目よわく
"Kan no me tsuyoku, ken no me yowaku"
— Miyamoto Musashi, The Book of Five Rings
English: "Perceive that which cannot be seen with the eye."
— Dskyz, Trade with insight. Trade with anticipation.
Flexi MA Heat ZonesOverview
Flexi MA Heat Zones is a powerful multi-timeframe visualization tool that helps traders easily identify trend strength, direction, and potential zones of confluence using multiple moving averages and dynamic heatmaps. The indicator plots up to three pairs of customizable moving averages, with color-coded heat zones to highlight bullish and bearish conditions at a glance.
Whether you're a trend follower, mean-reversion trader, or looking for visual confirmation zones, this indicator is designed to offer deep insights with high customizability.
⚙️ Key Features
🔄 Supports multiple MA types: Choose from EMA, SMA, WMA, VWMA to suit your strategy.
🎯 Six moving averages: Three MA pairs (MA1-MA2, MA3-MA4, MA5-MA6), each with independent lengths and colors.
🌈 Heatmap Zones: Dynamic fills between MA pairs, changing color based on bullish or bearish alignment.
👁️🗨️ Full customization: Enable/disable any MA pair and its heatmap zone from the settings.
🪞 Transparency controls: Adjust the visibility of heat zones for clarity or stylistic preference.
🎨 Color-coded for clarity: Bullish and bearish colors for each heat zone pair, fully user-configurable.
🧩 Efficient layout: Smart use of grouped inputs for easier configuration and visibility management.
📈 How to Use
Use the MA1–MA2 and MA3–MA4 zones for longer-term trend tracking and confluence analysis.
Use the faster MA5–MA6 zone for short-term micro-trend identification or scalping.
When a faster MA is above the slower one within a pair, the fill turns bullish (user-defined color).
When the faster MA is below the slower one, the fill turns bearish.
Combine with price action or other indicators for entry/exit confirmation.
🧠 Pro Tips
For trend-following strategies, consider using EMA or WMA types.
For mean-reversion or support/resistance zones, SMA and VWMA may offer better zone clarity.
Overlay with RSI, MACD, or custom entry signals for higher confidence setups.
Use different heatmap transparencies to visually separate overlapping MA zones.
Bitcoin Basket [100Zabaan]🟢🟢 Bitcoin Basket 🟢🟢
🟡 Overview
This indicator is a long-term analytical tool for Bitcoin investment, designed by drawing inspiration from historical halving cycles, historical peak growths and deepest declines, and the overall price growth trend. The main goal of this indicator is to provide a strategic perspective to investors so they can better identify key market phases, such as periods of major selling and major buying of Bitcoin.
🟡 This tool visually compares two scenarios:
Hold Strategy : The strategy of buying and holding Bitcoin from the time of investment until today ( Bitcoin Holding Strategy ).
Active Investment Strategy : An active investment strategy that cautiously buys and sells based on market cycle-driven signals ( Active Bitcoin Trading Strategy ).
This comparison helps you make more informed decisions regarding your long-term capital management.
🟡 Key Features of the Indicator
Performance Comparison : Displays the current value of your investment based on two strategies:
Bitcoin Holding Strategy : If you had invested an amount on your chosen date, how much Bitcoin (equivalent to how many dollars) would you have today.
Active Bitcoin Trading Strategy : How your capital would have grown if you had traded based on the indicator's buy and sell signals.
Also, in the status line section, you can see your asset amount (in USD) at each candle and compare the two strategies.
Identification of Buy and Sell Periods : Using colored boxes (red and green), it identifies time periods that have historically been suitable for selling or buying.
Identification of Suitable Price Ranges in Buy and Sell Periods : With a horizontal line within the red boxes, it informs us that prices above this line may be worth selling. With a horizontal line within the green boxes, it informs us that prices below this line may be worth buying.
Halving Display: Shows the exact time of each halving along with the block reward for each block produced during that halving.
Display of Maximum Drawdown During the Investment Period: In the provided table, you can see the maximum loss incurred in each of the two strategies during your hypothetical investment period, on what date this occurred, and what your capital was before and after in each of the two scenarios.
Display of Buy and Sell Suggestions: You can also see the suggested amount of Bitcoin to buy and sell at what prices, based on your investment amount.
Alarm: This indicator usually provides an alarm one or more days before the start of a selling period, notifying you that a sell signal will be issued soon.
Customization Options: In this indicator, you can customize your investment date and amount. You can also determine the display of label text (including price and buy/sell amount) and its size. This indicator also supports the Persian language.
🟡 How it Works and Signal Issuance Mechanism
This indicator uses three main methods for calculations:
Deceleration of Overall Price Growth : This indicator has found that the price of Bitcoin grows and fluctuates around an overall axis, and the intensity of this upward axis's growth gradually decreases.
Halving Impact : This indicator has found that the price of Bitcoin has grown from approximately one year before a halving and this growth continues for at least one year after the halving. It has also found that the price experiences a sharp one-year decline in the range between two halvings. Consequently, time-wise, based on halving, it displays a selling period (as a red box) on the chart. Considering the Bitcoin price growth explained in the previous point, it draws a line in the middle of the red box, identifying prices above that line as a suitable selling area. The inverse of this process is considered for buying.
Historical Peak Growths and Deepest Declines : This indicator analyzes Bitcoin's historical peak growths and deepest declines. Based on this, when declines are relatively large compared to what has occurred in the past, it issues the first buy suggestion. If the price decline continues, it sequentially issues the second and finally the third buy suggestion. The inverse of this process is followed for issuing sell suggestions.
🟡 Usage Guide
Add the indicator to your chart
Go to the indicator's settings section
In the Inputs tab, you can adjust the following values:
Set the initial investment amount in USD
Set the investment start date, from which calculations will begin
Set the language for displaying information on the chart, which is English by default
Display or hide labels for price and buy/sell volume on candles
The indicator will automatically display the results on the chart and in its information panel
🟡 Important Notes and Limitations
Compatibility : This indicator is specifically designed for the BTCUSD pair. To access the maximum historical data, you must use the INDEX broker chart and the Daily timeframe ; otherwise, the indicator will display a warning message.
Long-Term Tool : This indicator is a macro analysis tool. Its signals are rarely issued and are designed to capture large trends spanning several months or years. This tool is by no means suitable for day trading or scalping.
Non-Repainting : Buy and sell signals become definitive after the daily candle closes and do not change in the past. This feature increases the validity of backtests.
Note Regarding the Source Code : The core logic of this indicator, especially the proprietary formulas used, is the result of personal research and development. To preserve this unique methodology and ensure its integrity for future developments, this version is released as closed-source. However, we have made every effort to fully and transparently describe the indicator's logic and operational process in the explanations.
🔴 Disclaimer
This indicator is provided solely for educational, informational, and analytical purposes and should under no circumstances be considered financial advice or a definitive signal for buying and selling. Past market performance is by no means a guarantee of future results. All investment and trading activities involve risk, and the user is solely responsible for any profits or losses. Please conduct your own research and consult with a financial advisor before making any financial decisions.
🔴 Developers: Mr. Mohammad sanaei, Mrs. Hamideh Azari
⭐️⭐️ Feel free to share your feedback in the comments ⭐️⭐️
این اندیکاتور ابزاری تحلیلی و بلندمدت برای سرمایهگذاری در بیتکوین است که با الهام از چرخههای تاریخی هاوینگ، بیشترین رشد و افت ها تاریخی و روند کلی رشد قیمت طراحی شده است.
هدف اصلی این اندیکاتور، ارائه یک دیدگاه استراتژیک به سرمایهگذاران است تا بتوانند فازهای کلیدی بازار مانند دورههای فروش عمده و خرید عمده بیت کوین را بهتر شناسایی کنند.
🔴 توسعه دهندگان: محمد ثنائی، حمیده آذری
⭐️⭐️ لطفاً نظرات خود را در کامنتها با ما در میان بگذارید; از خواندن بازخوردهای شما خوشحال میشویم. ⭐️⭐️
Share Size FinderEnter your target gain and return timeframe to calculate how many shares to buy and the price you’ll need to sell at to meet that goal.
The return timeframe is based on how many candles (based on the ATR) it may take to reach your exit price. I use 2 for scalping.
The table shows the total cost of buying that share amount at the current price—useful for managing account risk, especially for cash accounts or those under PDT rules.
A chart of the exit price is also included to help you compare with projections like Fibonacci extensions.
Alpha - Combined BreakoutThis Pine Script indicator, "Alpha - Combined Breakout," is a combination between Smart Money Breakout Signals and UT Bot Alert, The UT Bot Alert indicator was initially developer by Yo_adriiiiaan
The idea of original code belongs HPotter.
This Indicator helps you identify potential trading opportunities by combining two distinct strategies: Smart Money Breakout and a modified UT Bot (likely a variation of the Ultimate Trend Bot). It provides visual signals, draws lines for potential take profit (TP) and stop loss (SL) levels, and includes a dashboard to track performance metrics.
Tutorial:
Understanding and Using the "Alpha - Combined Breakout" Indicator
This indicator is designed for traders looking for confirmation of market direction and potential entry/exit points by blending structural analysis with a trend-following oscillator.
How it Works (General Concept)
The indicator combines two main components:
Smart Money Breakout: This part identifies significant breaks in market structure, which "smart money" traders often use to gauge shifts in supply and demand. It looks for higher highs/lows or lower highs/lows and flags when these structural points are broken.
UT Bot: This is a trend-following component that generates buy and sell signals based on price action relative to an Average True Range (ATR) based trailing stop.
You can choose to use these signals independently or combined to generate trading alerts and visual cues on your chart. The dashboard provides a quick overview of how well the signals are performing based on your chosen settings and display mode.
Parameters and What They Do
Let's break down each input parameter:
1. Smart Money Inputs
These settings control how the indicator identifies market structure and breakouts.
swingSize (Market Structure Time-Horizon):
What it does: This integer value defines the number of candles used to identify significant "swing" (pivot) points—highs and lows.
Effect: A larger swingSize creates a smoother market structure, focusing on longer-term trends. This means signals might appear less frequently and with some delay but could be more reliable for higher timeframes or broader market movements. A smaller swingSize will pick up more minor market structure changes, leading to more frequent but potentially noisier signals, suitable for lower timeframes or scalping.
Analogy: Think of it like a zoom level on your market structure map. Higher values zoom out, showing only major mountain ranges. Lower values zoom in, showing every hill and bump.
bosConfType (BOS Confirmation Type):
What it does: This string input determines how a Break of Structure (BOS) is confirmed. You have two options:
'Candle Close': A breakout is confirmed only if a candle's closing price surpasses the previous swing high (for bullish) or swing low (for bearish).
'Wicks': A breakout is confirmed if any part of the candle (including its wick) surpasses the previous swing high or low.
Effect: 'Candle Close' provides stronger, more conservative confirmation, as it implies sustained price movement beyond the structure. 'Wicks' provides earlier, more aggressive signals, as it captures momentary breaches of the structure.
Analogy: Imagine a wall. 'Candle Close' means the whole person must get over the wall. 'Wicks' means even a finger touching over the top counts as a breach.
choch (Show CHoCH):
What it does: A boolean (true/false) input to enable or disable the display of "Change of Character" (CHoCH) labels. CHoCH indicates the first structural break against the current dominant trend.
Effect: When true, it helps identify early signs of a potential trend reversal, as it marks where the market's "character" (its tendency to make higher highs/lows or lower lows/highs) first changes.
BULL (Bullish Color) & BEAR (Bearish Color):
What they do: These color inputs allow you to customize the visual appearance of bullish and bearish signals and lines drawn by the Smart Money component.
Effect: Purely cosmetic, helps with visual identification on the chart.
sm_tp_sl_multiplier (SM TP/SL Multiplier (ATR)):
What it does: A float value that acts as a multiplier for the Average True Range (ATR) to calculate the Take Profit (TP) and Stop Loss (SL) levels specifically when you're in "Smart Money Only" mode. It uses the ATR calculated by the UT Bot's nLoss_ut as its base.
Effect: A higher multiplier creates wider TP/SL levels, potentially leading to fewer trades but larger wins/losses. A lower multiplier creates tighter TP/SL levels, potentially leading to more frequent but smaller wins/losses.
2. UT Bot Alerts Inputs
These parameters control the behavior and sensitivity of the UT Bot component.
a_ut (UT Key Value (Sensitivity)):
What it does: This integer value adjusts the sensitivity of the UT Bot.
Effect: A higher value makes the UT Bot less sensitive to price fluctuations, resulting in fewer and potentially more reliable signals. A lower value makes it more sensitive, generating more signals, which can include more false signals.
Analogy: Like a noise filter. Higher values filter out more noise, keeping only strong signals.
c_ut (UT ATR Period):
What it does: This integer sets the look-back period for the Average True Range (ATR) calculation used by the UT Bot. ATR measures market volatility.
Effect: This period directly influences the calculation of the nLoss_ut (which is a_ut * xATR_ut), thus defining the distance of the trailing stop loss and take profit levels. A longer period makes the ATR smoother and less reactive to sudden price spikes. A shorter period makes it more responsive.
h_ut (UT Signals from Heikin Ashi Candles):
What it does: A boolean (true/false) input to determine if the UT Bot calculations should use standard candlestick data or Heikin Ashi candlestick data.
Effect: Heikin Ashi candles smooth out price action, often making trends clearer and reducing noise. Using them for UT Bot signals can lead to smoother, potentially delayed signals that stay with a trend longer. Standard candles are more reactive to raw price changes.
3. Line Drawing Control Buttons
These crucial boolean inputs determine which type of signals will trigger the drawing of TP/SL/Entry lines and flags on your chart. They act as a priority system.
drawLinesUtOnly (Draw Lines: UT Only):
What it does: If checked (true), lines and flags will only be drawn when the UT Bot generates a buy/sell signal.
Effect: Isolates UT Bot signals for visual analysis.
drawLinesSmartMoneyOnly (Draw Lines: Smart Money Only):
What it does: If checked (true), lines and flags will only be drawn when the Smart Money Breakout logic generates a bullish/bearish breakout.
Effect: Overrides drawLinesUtOnly if both are checked. Isolates Smart Money signals.
drawLinesCombined (Draw Lines: UT & Smart Money (Combined)):
What it does: If checked (true), lines and flags will only be drawn when both a UT Bot signal AND a Smart Money Breakout signal occur on the same bar.
Effect: Overrides both drawLinesUtOnly and drawLinesSmartMoneyOnly if checked. Provides the strictest entry criteria for line drawing, looking for strong confluence.
Dashboard Metrics Explained
The dashboard provides performance statistics based on the lines drawing control button selected. For example, if "Draw Lines: UT Only" is active, the dashboard will show stats only for UT Bot signals.
Total Signals: The total number of buy or sell signals generated by the selected drawing mode.
TP1 Win Rate: The percentage of signals where the price reached Take Profit 1 (TP1) before hitting the Stop Loss.
TP2 Win Rate: The percentage of signals where the price reached Take Profit 2 (TP2) before hitting the Stop Loss.
TP3 Win Rate: The percentage of signals where the price reached Take Profit 3 (TP3) before hitting the Stop Loss. (Note: TP1, TP2, TP3 are in order of distance from entry, with TP3 being furthest.)
SL before any TP rate: This crucial metric shows the number of times the Stop Loss was hit / the percentage of total signals where the stop loss was triggered before any of the three Take Profit levels were reached. This gives you a clear picture of how often a trade resulted in a loss without ever moving into profit target territory.
Short Tutorial: How to Use the Indicator
Add to Chart: Open your TradingView chart, go to "Indicators," search for "Alpha - Combined Breakout," and add it to your chart.
Access Settings: Once added, click the gear icon next to the indicator name on your chart to open its settings.
Choose Your Signal Mode:
For UT Bot only: Uncheck "Draw Lines: Smart Money Only" and "Draw Lines: UT & Smart Money (Combined)". Ensure "Draw Lines: UT Only" is checked.
For Smart Money only: Uncheck "Draw Lines: UT Only" and "Draw Lines: UT & Smart Money (Combined)". Ensure "Draw Lines: Smart Money Only" is checked.
For Combined Signals: Check "Draw Lines: UT & Smart Money (Combined)". This will override the other two.
Adjust Parameters:
Start with default settings. Observe how the signals appear on your chosen asset and timeframe.
Refine Smart Money: If you see too many "noisy" market structure breaks, increase swingSize. If you want earlier breakouts, try "Wicks" for bosConfType.
Refine UT Bot: Adjust a_ut (Sensitivity) to get more or fewer UT Bot signals. Change c_ut (ATR Period) if you want larger or smaller TP/SL distances. Experiment with h_ut to see if Heikin Ashi smoothing suits your trading style.
Adjust TP/SL Multiplier: If using "Smart Money Only" mode, fine-tune sm_tp_sl_multiplier to set appropriate risk/reward levels.
Interpret Signals & Lines:
Buy/Sell Flags: These indicate the presence of a signal based on your selected drawing mode.
Entry Line (Blue Solid): This is where the signal was generated (usually the close price of the signal candle).
SL Line (Red/Green Solid): Your calculated stop loss level.
TP Lines (Dashed): Your three calculated take profit levels (TP1, TP2, TP3, where TP3 is the furthest target).
Smart Money Lines (BOS/CHoCH): These lines indicate horizontal levels where market structure breaks occurred. CHoCH labels might appear at the first structural break against the prior trend.
Monitor Dashboard: Pay attention to the dashboard in the top right corner. This dynamically updates to show the win rates for each TP and, crucially, the "SL before any TP rate." Use these statistics to evaluate the effectiveness of the indicator's signals under your current settings and chosen mode.
*
Set Alerts (Optional): You can set up alerts for any of the specific signals (UT Bot Long/Short, Smart Money Bullish/Bearish, or the "Line Draw" combined signals) to notify you when they occur, even if you're not actively watching the chart.
By following this tutorial, you'll be able to effectively use and customize the "Alpha - Combined Breakout" indicator to suit your trading strategy.
Uptrick: Universal Z-Score ValuationOverview
The Uptrick: Universal Z-Score Valuation is a tool designed to help traders spot when the market might be overreacting—whether that’s on the upside or the downside. It does this by combining the Z-scores of multiple key indicators into a single average, letting you see how far the current market conditions have stretched away from “normal.” This average is shown as a smooth line, supported by color-coded visuals, signal markers, optional background highlights, and a live breakdown table that shows the contribution of each indicator in real time. The focus here is on spotting potential reversals, not following trends. The indicator works well across all timeframes and asset classes, from fast intraday charts like the 1-minute and 5-minute, to higher timeframes such as the 4-hour, daily, or even weekly. Its universal design makes it suitable for any market — whether you're trading crypto, stocks, forex, or commodities.
Introduction
To understand what this indicator does, let’s start with the idea of a Z-score. In simple terms, a Z-score tells you how far a number is from the average of its recent history, measured in standard deviations. If the price of an asset is two standard deviations above its mean, that means it’s statistically “rare” or extended. That doesn’t guarantee a reversal—but it suggests the move is unusual enough to pay attention.
This concept isn’t new, but what this indicator does differently is apply the Z-score to a wide set of market signals—not just price. It looks at momentum, volatility, volume, risk-adjusted performance, and even institutional price baselines. Each of those indicators is normalized using Z-scores, and then they’re combined into one average. This gives you a single, easy-to-read line that summarizes whether the entire market is behaving abnormally. Instead of reacting to one indicator, you’re reacting to a statistically balanced blend.
Purpose
The goal of this script is to catch turning points—places where the market may be topping out or bottoming after becoming overstretched. It’s built for traders who want to fade sharp moves rather than follow trends. Think of moments when price explodes upward and starts pulling away from every moving average, volume spikes, volatility rises, and RSI shoots up. This tool is meant to spot those situations—not just when price is stretched, but when multiple different indicators agree that something is overdone.
Originality and Uniqueness
Most indicators that use Z-scores only apply them to one thing—price, RSI, or maybe Bollinger Bands. This one is different because it treats each indicator as a contributor to the full picture. You decide which ones to include, and the script averages them out. This makes the tool flexible but also deeply informative.
It doesn’t rely on complex or hidden math. It uses basic Z-score formulas, applies them to well-known indicators, and shows you the result. What makes it unique is the way it brings those signals together—statistically, visually, and interactively—so you can see what’s happening in the moment with full transparency. It’s not trying to be flashy or predictive. It’s just showing you when things have gone too far, too fast.
Inputs and Parameters
This indicator includes a wide range of configurable inputs, allowing users to customize which components are included in the Z-score average, how each indicator is calculated, and how results are displayed visually. Below is a detailed explanation of each input:
General Settings
Z-Score Lookback (default: 100): Number of bars used to calculate the mean and standard deviation for Z-score normalization. Larger values smooth the Z-scores; smaller values make them more reactive.
Bar Color Mode (default: None): Determines how bars are visually colored. Options include: None: No candle coloring applied. - Heat: Smooth gradient based on the Z-score value. - Latest Signal: Applies a solid color based on the most recent buy or sell signal
Boolean - General
Plot Universal Valuation Line (default: true): If enabled, plots the average Z-score (zAvg) line in the separate pane.
Show Signals (default: true): Displays labels ("𝓤𝓹" for buy, "𝓓𝓸𝔀𝓷" for sell) when zAvg crosses above or below user-defined thresholds.
Show Z-Score Table (default: true): Displays a live table listing each enabled indicator's Z-score and the current average.
Select Indicators
These toggles enable or disable each indicator from contributing to the Z-score average:
Use VWAP Z-Score (default: true)
Use Sortino Z-Score (default: true)
Use ROC Z-Score (default: true)
Use Price Z-Score (default: true)
Use MACD Histogram Z-Score (default: false)
Use Bollinger %B Z-Score (default: false)
Use Stochastic K Z-Score (default: false)
Use Volume Z-Score (default: false)
Use ATR Z-Score (default: false)
Use RSI Z-Score (default: false)
Use Omega Z-Score (default: true)
Use Sharpe Z-Score (default: true)
Only enabled indicators are included in the average. This modular design allows traders to tailor the signal mix to their preferences.
Indicator Lengths
These inputs control how each individual indicator is calculated:
MACD Fast Length (default: 12)
MACD Slow Length (default: 26)
MACD Signal Length (default: 9)
Bollinger Basis Length (default: 20): Used to compute the Bollinger %B.
Bollinger Deviation Multiplier (default: 2.0): Standard deviation multiplier for the Bollinger Band calculation.
Stochastic Length (default: 14)
ATR Length (default: 14)
RSI Length (default: 14)
ROC Length (default: 10)
Zones
These thresholds define key signal levels for the Z-score average:
Neutral Line Level (default: 0): Baseline for the average Z-score.
Bullish Zone Level (default: -1): Optional intermediate zone suggesting early bullish conditions.
Bearish Zone Level (default: 1): Optional intermediate zone suggesting early bearish conditions.
Z = +2 Line Level (default: 2): Primary threshold for bearish signals.
Z = +3 Line Level (default: 3): Extreme bearish warning level.
Z = -2 Line Level (default: -2): Primary threshold for bullish signals.
Z = -3 Line Level (default: -3): Extreme bullish warning level.
These zone levels are used to generate signals, fill background shading, and draw horizontal lines for visual reference.
Why These Indicators Were Merged
Each indicator in this script was chosen for a specific reason. They all measure something different but complementary.
The VWAP Z-score helps you see when price has moved far from the volume-weighted average, often used by institutions.
Sortino Ratio Z-score focuses only on downside risk, which is often more relevant to traders than overall volatility.
ROC Z-score shows how fast price is changing—strong momentum may burn out quickly.
Price Z-score is the raw measure of how far current price has moved from its mean.
RSI Z-score shows whether momentum itself is stretched.
MACD Histogram Z-score captures shifts in trend strength and acceleration.
%B (Bollinger) Z-score indicates how close price is to the upper or lower volatility envelope.
Stochastic K Z-score gives a sense of how high or low price is relative to its recent range.
Volume Z-score shows when trading activity is unusually high or low.
ATR Z-score gives a read on volatility, showing if price movement is expanding or contracting.
Sharpe Z-score measures reward-to-risk performance, useful for evaluating trend quality.
Omega Z-score looks at the ratio of good returns to bad ones, offering a more nuanced view of efficiency.
By normalizing each of these using Z-scores and averaging only the ones you turn on, the script creates a flexible, balanced view of the market’s statistical stretch.
Calculations
The core formula is the standard Z-score:
Z = (current value - average) / standard deviation
Every indicator uses this formula after it’s calculated using your chosen settings. For example, RSI is first calculated as usual, then its Z-score is calculated over your selected lookback period. The script does this for every indicator you enable. Then it averages those Z-scores together to create a single value: zAvg. That value is plotted and used to generate visual cues, signals, table values, background color changes, and candle coloring.
Sequence
Each selected indicator is calculated using your custom input lengths.
The Z-score of each indicator is computed using the shared lookback period.
All active Z-scores are added up and averaged.
The resulting zAvg value is plotted as a line.
Signal conditions check if zAvg crosses user-defined thresholds (default: ±2).
If enabled, the script plots buy/sell signal labels at those crossover points.
The candle color is updated using your selected mode (heatmap or signal-based).
If extreme Z-scores are reached, background highlighting is applied.
A live table updates with each individual Z-score so you know what’s driving the signal.
Features
This script isn’t just about stats—it’s about making them usable in real time. Every feature has a clear reason to exist, and they’re all there to give you a better read on market conditions.
1. Universal Z-Score Line
This is your primary reference. It reflects the average Z-score across all selected indicators. The line updates live and is color-coded to show how far it is from neutral. The further it gets from 0, the brighter the color becomes—cyan for deeply oversold conditions, magenta for overbought. This gives you instant feedback on how statistically “hot” or “cold” the market is, without needing to read any numbers.
2. Signal Labels (“𝓤𝓹” and “𝓓𝓸𝔀𝓷”)
When the average Z-score drops below your lower bound, you’ll see a "𝓤𝓹" label below the bar, suggesting potential bullish reversal conditions. When it rises above the upper bound, a "𝓓𝓸𝔀𝓷" label is shown above the bar—indicating possible bearish exhaustion. These labels are visually clear and minimal so they don’t clutter your chart. They're based on clear crossover logic and do not repaint.
3. Real-Time Z-Score Table
The table shows each indicator's individual Z-score and the final average. It updates every bar, giving you a transparent breakdown of what’s happening under the hood. If the market is showing an extreme average score, this table helps you pinpoint which indicators are contributing the most—so you’re not just guessing where the pressure is coming from.
4. Bar Coloring Modes
You can choose from three modes:
None: Keeps your candles clean and untouched.
Heat: Applies a smooth gradient color based on Z-score intensity. As conditions become more extreme, candle color transitions from neutral to either cyan (bullish pressure) or magenta (bearish pressure).
Latest Signal: Applies hard coloring based on the most recent signal—greenish for a buy, purple for a sell. This mode is great for tracking market state at a glance without relying on a gradient.
Every part of the candle is colored—body, wick, and border—for full visibility.
5. Background Highlighting
When zAvg enters an extreme zone (typically above +2 or below -2), the background shifts color to reflect the market’s intensity. These changes aren’t overwhelming—they’re light fills that act as ambient warnings, helping you stay aware of when price might be reaching a tipping point.
6. Customizable Zone Lines and Fills
You can define what counts as neutral, overbought, and oversold using manual inputs. Horizontal lines show your thresholds, and shaded regions highlight the most extreme zones (+2 to +3 and -2 to -3). These lines give you visual structure to understand where price currently stands in relation to your personal reversal model.
7. Modular Indicator Control
You don’t have to use all the indicators. You can enable or disable any of the 12 with a simple checkbox. This means you can build your own “blend” of market context—maybe you only care about RSI, price, and volume. Or maybe you want everything on. The script adapts accordingly, only averaging what you select.
8. Fully Customizable Sensitivity and Lengths
You can adjust the Z-score lookback length globally (default 100), and tweak individual indicator lengths separately. This lets you tune the indicator’s responsiveness to suit your trading style—slower for longer swings, faster for scalping.
9. Clean Integration with Any Chart Layout
All visual elements are designed to be informative without taking over your chart. The coloring is soft but clear, the labels are readable without being huge, and you can turn off any feature you don’t need. The indicator can work as a full dashboard or as a simple line with a couple of alerts—it’s up to you.
10. Precise, Real-Time Signal Logic
The crossover logic for signals is exact and only fires when the Z-score moves across your defined boundary. No estimation, no delay. Everything is calculated based on current and previous bar data, and nothing repaints or back-adjusts.
Conclusion
The Universal Z-Score Valuation indicator is a tool for traders who want a clear, unbiased way to detect overextension. Instead of relying on a single signal, you get a composite of several market perspectives—momentum, volatility, volume, and more—all standardized into a single view. The script gives you the freedom to control the logic, the visuals, and the components. Whether you use it as a confirmation tool or a primary signal source, it’s designed to give you clarity when markets become chaotic.
Disclaimer
This indicator is for research and educational use only. It does not constitute financial advice or guarantees of performance. All trading involves risk, and users should test any strategy thoroughly before applying it to live markets. Use this tool at your own discretion.
Pullback Historical DataIndicator Description: Dados-historico-Pullback
This indicator identifies pivot points (local support and resistance levels) on the chart based on a user-defined period. It calculates the difference between the last found resistance and support levels, displaying this current difference as well as its historical maximum and minimum values.
How to use:
Pivot Period:
Adjust the "Pivot Period" parameter to define how many bars before and after the indicator should look for a pivot point (high or low).
A higher value makes the pivot more conservative, finding stronger and more spaced pivots.
A lower value detects more frequent pivots, sensitive to quick market moves.
Label and Text Color:
You can customize the background color of the label and the text color for better visibility on the chart.
Label Size:
The indicator offers four label sizes:
XS (Extra Small): small label to save space.
S (Small): compact and readable size.
M (Medium): default size, a balance between readability and space.
L (Large): bigger label for more emphasis.
If you choose an invalid value, the default M (Medium) size will be used automatically.
Example to adjust the Pivot Period:
Setting the Pivot Period to 3 means the indicator will look for pivots within 3 bars before and after each point. This produces many pivots, including smaller ones and noise. It’s useful for fast trades or scalping.
Setting it to 10 means the indicator looks for pivots farther apart, producing fewer signals but more significant ones, suitable for more conservative analysis.
I recommend starting with a middle value like 5 and testing how the indicator behaves on your chart. Then adjust up or down depending on your trading style and timeframe.
Absorption CVD Divergence + Compression on 1000R [by Oberlunar] This indicator identifies absorption events and price/CVD divergences to detect DAC signals (Divergence + Absorption Confirmed) and price compressions within a 1000R range-based environment. It is designed for advanced traders who aim to interpret volume flow in conjunction with price action to anticipate reversals and breakout traps.
The indicator is built around the concept that true market reversals and liquidity shifts often occur when price movement is not confirmed by the underlying volume delta (CVD), especially under conditions of strong absorption. By analyzing the difference between up-volume and down-volume (CVD), and comparing it to price extremes over a given window, the script detects divergence zones and overlays them only when accompanied by statistically significant absorption, expressed in terms of sigma deviation (σ).
When such a divergence is detected and absorption exceeds a minimum threshold, the system classifies the event as a DAC. If the DAC is bullish (price makes a lower low but CVD does not confirm and there's buyer absorption), it suggests an opportunity to go long. Conversely, a DAC bearish occurs when the price makes a higher high unconfirmed by the CVD, with strong sell absorption—suggesting a short.
Beyond DAC signals, the script also tracks compression zones—congested phases between opposite DAC signals, which often precede explosive breakouts. These are visualized using colored boxes that dynamically extend until price exits the defined range, signaling the end of compression. A bullish-to-bearish compression (B→S) occurs when a DAC bearish follows a DAC bullish, while a bearish-to-bullish compression (S→B) occurs when the sequence is reversed.
The tool is especially effective in range-based charting (e.g., 1000R), where price structure is more sensitive to volume shifts and absorption can be measured with higher fidelity.
Users can customize:
The minimum sigma absorption threshold to filter only statistically relevant signals.
The lookback window for divergence detection.
Visual aspects of the boxes and signal labels, including color, transparency, position, and visibility.
Ultimately, the strategy behind this tool is based on the idea that volume-based signals—especially when in contrast with price—often precede structural reversals or volatility expansions. DAC signals are actionable trade ideas, while compressions are areas of tension that can be used for breakout traps, stop hunts, or volatility scalping. The synergy of price, volume delta, and sigma absorption provides a deeper layer of market insight that goes beyond price alone.
Oberlunar 👁️🌟
Malama's big MACDPurpose: Malama's Big MACD is a multi-faceted Pine Script indicator designed for traders on short timeframes (1-5 minute charts) to identify high-probability trading opportunities. It combines a Stochastic Price Predictor (SPP) with a comprehensive set of technical indicators, including MACD, RSI, moving average crossovers, ATR, volume spikes, and a custom JKH RSI, to generate robust buy and sell signals. The indicator aims to solve the problem of filtering out market noise in fast-moving markets by integrating probability-based predictions with traditional technical analysis, providing traders with clear entry/exit signals, trend visualization, and risk management levels.
Originality and Usefulness
This script is a unique mashup of a Stochastic Price Predictor (SPP) and a comprehensive indicator suite, tailored for short-term trading. The SPP uses a Monte Carlo simulation combined with ATR and Stochastic RSI to forecast price movements, while the comprehensive indicator suite leverages MACD crossovers, RSI overbought/oversold conditions, moving average crossovers, volume spikes, and a custom JKH RSI for confirmation. Unlike standalone MACD or RSI indicators available in TradingView’s public library, this script’s originality lies in its hybrid approach, blending probabilistic forecasting with multiple confirmatory signals to enhance reliability. The integration of user-defined sentiment input and customizable risk management levels further differentiates it from generic open-source alternatives, making it particularly useful for scalpers and day traders seeking precise, actionable signals.
How It Works
The script operates in two primary modules: the Stochastic Price Predictor (SPP) and the Comprehensive Indicator Suite, which work together to generate and confirm trading signals. Signal strength is calculated to quantify the confidence of bullish or bearish conditions.
Stochastic Price Predictor (SPP):
Core Logic: The SPP forecasts price movements using a Monte Carlo simulation based on historical returns, ATR-based volatility, and Stochastic RSI filtering. It calculates the probability of price reaching a user-defined target move (default: 0.3%) within a specified forecast horizon (default: 3 bars).
Components:
ATR and Volatility: ATR (Average True Range) is calculated over a user-defined lookback period (default: 5) and scaled by a volatility factor (default: 1.5) to estimate price volatility. A volatility ratio (current volatility vs. average) filters out signals during extreme volatility (>2x average).
Stochastic RSI: A 7-period RSI is smoothed into a Stochastic RSI (5-period stochastic, 2-period SMA) to identify overbought (>85) or oversold (<15) conditions, preventing signals in extreme market states.
Monte Carlo Simulation: 30 price paths are simulated using a geometric Brownian motion model, incorporating drift (based on weighted moving average of returns) and volatility shocks. The simulation estimates the probability of price reaching the target move up or down.
Signal Generation: A buy signal is triggered if the probability of an upward move exceeds the confidence threshold (default: 65%) and the market is not overbought, with volatility within limits. A sell signal is triggered similarly for downward moves.
Purpose: The SPP provides a probabilistic framework to anticipate short-term price movements, reducing reliance on lagging indicators.
Comprehensive Indicator Suite:
Core Logic: This module combines multiple technical indicators to confirm SPP signals and generate independent signals based on momentum, trend, and volume.
Components:
MACD: Uses fast (5-period) and slow (13-period) EMAs to calculate the MACD line, smoothed by a 5-period signal line. A crossover above a threshold (default: 0.0001) indicates bullish momentum, while a crossunder signals bearish momentum.
RSI: A 14-period RSI identifies overbought (>70) or oversold (<30) conditions to filter signals.
Moving Average Crossovers: Fast (5-period) and slow (20-period) EMAs determine trend direction. A bullish crossover (fast > slow) supports buy signals, while a bearish crossover (fast < slow) supports sell signals.
Volume Spikes: Volume exceeding 2x the 50-period average signals significant market activity, enhancing signal reliability.
JKH RSI: A fast 3-period RSI with custom overbought (>80) and oversold (<20) levels provides additional confirmation, reducing false signals in choppy markets.
Sentiment Input: A user-defined sentiment score (-1 to 1) adjusts signal strength, allowing traders to incorporate external market bias (e.g., news or fundamentals).
Signal Generation: A buy signal requires a bullish MACD crossover, RSI oversold, bullish MA crossover, non-overbought JKH RSI, and neutral/positive sentiment. A sell signal requires the opposite conditions.
Signal Strength Calculation:
Logic: Combines SPP probability, RSI deviation, and MACD strength, weighted at 50%, 30%, and 20%, respectively. Sentiment input scales the final strength (0–100).
Formula:
Bullish strength = min(100, (50 * |prob_up - prob_down| / 100 + 30 * |RSI - 50| / 50 + 20 * |MACD_line| / (0.1 * ATR)) * (1 + max(0, sentiment)))
Bearish strength is calculated similarly, using the absolute negative sentiment.
Purpose: Quantifies signal confidence, helping traders prioritize high-probability setups.
Strategy Results and Risk Management
While the script is primarily an indicator, it provides implied trading signals that assume realistic trading conditions:
Assumptions: Signals are designed for short-term trading (1-5 minute charts) with a minimum of 100 trades for statistical significance. The script assumes typical commission (e.g., 0.1% per trade) and slippage (e.g., 0.05%) for liquid markets. Risk per trade is implicitly capped via ATR-based stop-loss levels (2x ATR below/above entry for buy/sell).
Default Settings:
Lookback (5), volatility factor (1.5), and forecast horizon (3) are optimized for short timeframes.
ATR-based stop-loss and profit target levels (2x ATR) provide a risk-reward ratio of approximately 1:1.
Confidence threshold (65%) balances signal frequency and reliability.
Customization: Traders can adjust the ATR multiplier for stop-loss/profit targets or modify the confidence threshold to increase/decrease signal frequency. Lowering the target move (e.g., to 0.2%) or shortening the forecast horizon (e.g., to 2 bars) can tighten risk parameters for scalping.
Guidance: Traders should backtest signals on their specific asset and timeframe, ensuring sufficient trade volume (>100 trades) and incorporating their broker’s commission/slippage. Risk should be limited to 5–10% of equity per trade, adjustable via ATR multiplier or position sizing outside the script.
User Settings and Customization
The script offers extensive user inputs, organized into three groups:
Stochastic Price Predictor Settings:
Lookback Period (default: 5): Controls the period for ATR and returns calculation. Shorter periods increase sensitivity.
Volatility Factor (default: 1.5): Scales ATR for volatility shocks in the Monte Carlo simulation.
Confidence Threshold (default: 65%): Sets the minimum probability for SPP signals.
Stoch RSI Overbought/Oversold Levels (default: 85/15): Filters signals in extreme conditions.
Forecast Horizon (default: 3): Number of bars for price prediction.
Target Move (default: 0.3%): Expected price movement for probability calculation.
Show Predicted Range (default: false): Toggles visibility of the 25th–75th percentile price range.
Comprehensive Indicator Settings:
RSI Length (default: 14), Overbought (70), Oversold (30): Standard RSI parameters.
ATR Length (default: 14): Period for ATR calculation.
Volume Spike Multiplier (default: 2.0): Threshold for detecting volume spikes.
Sentiment Input (default: 0.0, range: -1 to 1): Scales signal strength based on external bias.
MACD Fast/Slow/Signal Lengths (default: 5/13/5), Crossover Threshold (0.0001): Controls MACD sensitivity.
MA Fast/Slow Lengths (default: 5/20): Defines trend direction.
JKH RSI Length (default: 3), Overbought (80), Oversold (20): Fast RSI for confirmation.
Visual Settings:
Show SPP Signals (default: true): Displays SPP buy/sell labels.
Show Comp Signals (default: true): Displays comprehensive indicator signals.
Highlight Volume Spikes (default: true): Highlights bars with significant volume.
Show ATR Levels (default: true): Plots stop-loss and profit-target lines.
Impact: Adjusting lookback periods or thresholds affects signal frequency and sensitivity. For example, lowering the confidence threshold increases signals but may reduce accuracy, while increasing the volatility factor amplifies price path variability.
Visualizations and Chart Setup
The script plots clear, relevant elements on the chart to aid decision-making:
Trend Line: Plots the close price, colored green (bullish, fast MA > slow MA), red (bearish), or orange (neutral).
SPP Signals: Green "BUY (SPP)" labels below bars and red "SELL (SPP)" labels above bars when conditions are met.
Predicted Range: Optional blue step lines showing the 25th–75th percentile price range from the Monte Carlo simulation, with a semi-transparent fill.
Comprehensive Signals:
Blue upward triangles for bullish MACD crossovers, orange downward triangles for bearish crossovers.
Green circles above bars for RSI overbought, red circles below for oversold.
Green "BUY (Comp)" labels (offset by 1x ATR below) and red "SELL (Comp)" labels (offset by 1x ATR above) for comprehensive signals.
Green upward triangles for bullish MA crossovers, red downward triangles for bearish crossovers.
Volume Spikes: Yellow background highlights bars with volume >2x the 50-period average.
ATR Levels: Purple dotted lines for stop-loss (close - 2x ATR) and profit target (close + 2x ATR).
Moving Averages: Fast MA (blue, 5-period) and slow MA (red, 20-period) for trend reference.
Clarity: Only relevant elements are plotted, ensuring traders can quickly identify trends, signals, and risk levels without clutter.
Swing-Based Volatility IndexSwing-Based Volatility Index
This indicator helps traders quickly determine whether the market has moved enough over the past few hours to justify scalping.
It measures the percentage price swing (high to low) over a configurable time window (e.g., last 4–8 hours) and compares it to a minimum threshold (e.g., 1%).
✅ If the percent move exceeds the threshold → Market is volatile enough to scalp (green background).
🚫 If it's below the threshold → Market is too quiet (red background).
Features:
Adjustable lookback period in hours
Custom threshold for volatility sensitivity
Automatically adapts to the current chart timeframe
This tool is ideal for scalpers and short-term traders who want to avoid entering trades in low-volatility environments.
Perp R/R Toolcalculate lot size and automatically plot SL and TP and entry for quicker execution when scalping. SL is currently set to high of candle for shorts and low of candle for longs +1 ATR. can change ATR, risk per trade and r/r ratio in settings. change trade direction to show info for long, short or both.
Super Stoch ScalperTheoretically, the higher the number, the stronger the signal.
However, in this mixed up world, the 1 and 2 seems stronger than the 4 at times. That's why I'm still working at McDonald's.
Number over candle = Short.
Number under candle = Long.
Best used for scalping.
God help you with your exits.
