Smart Money Toolkit - PD Engine Bias Map [KedArc Quant]Description
Smart Money is an advanced multi-layer Smart Money Concepts framework that automatically detects structure shifts, premium-discount zones, and institutional order flow.
It is built around the PD Engine, which calculates the midpoint of the most recent market swing and dynamically determines BUY or SELL bias based on where current price trades relative to that equilibrium. This toolkit visualizes structure, order blocks, and bias context in one clean map, giving traders an institutional-grade view without unnecessary signal clutter.
Why It Is Unique
- All CHoCH, BOS, Order Block, FVG, and PD logic are coded from scratch.
- Uses true equilibrium (50 percent PD midpoint) for dynamic bias.
- Optimized for stability and non-repainting behavior.
- Designed for clarity with minimal, performance-safe visuals.
Entry and Exit Logic (Discretionary Framework)
- This toolkit is not a signal generator. It provides market context that guides discretionary trading.
BUY Bias (Discount Zone)
- Price trades below PD Mid: the market is in discount.
- Wait for a bullish CHoCH or reaction from a demand OB or FVG before buying.
- Target 1 = PD Mid. Target 2 = next opposite OB or FVG.
SELL Bias (Premium Zone)
- Price trades above PD Mid: the market is in premium.
- Wait for a bearish CHoCH or reaction from a supply OB or FVG before shorting.
- Target 1 = PD Mid. Target 2 = next opposite OB or FVG.
Institutional concept sequence: Bias → Structure Shift → Confirmation → Execution.
Input Configuration
Swing Sensitivity - Determines how far back to identify HH and LL pivots.
OB / FVG Detection - Toggles visual Order Block or Fair Value Gap zones.
PD Engine - Shows PD midpoint line, zone shading, and bias table.
Multi-TF Bias Sync - Optionally reads a higher timeframe bias for confirmation.
Color Themes - Switch between light, dark, or institutional palettes.
Formula / Logic Summary
Concept Formula
PD Mid (Equilibrium) (Recent Swing High + Recent Swing Low) / 2
BUY Bias close < PD Mid
SELL Bias close > PD Mid
CHoCH / BOS Pivot-based structure reversal: HH→LL or LL→HH
Order Block Last bullish or bearish candle before displacement.
FVG Gap between prior candle high/low and next candle range.
These formulas follow the structure used in institutional Smart Money Concepts.
How It Helps Traders
- Shows institutional premium and discount zones visually.
- Defines clear directional bias before entry.
- Combines structure, order blocks, FVG, and equilibrium in one layout.
- Works on any timeframe or asset.
- Prevents emotional trades by giving objective bias context.
Glossary
PD Mid Midpoint between recent swing high and low (market fair value).
Premium Zone Price above PD Mid; sellers control.
Discount Zone Price below PD Mid; buyers control.
CHoCH Change of Character, first reversal signal.
BOS Break of Structure, trend continuation confirmation.
OB Order Block, last institutional candle before move.
FVG Fair Value Gap, price imbalance often revisited.
FAQ
Q: Is this a signal indicator?
A: No. It is a contextual framework that supports manual decision-making.
Q: Does it repaint?
A: No. All structure logic is confirmed on bar close.
Q: Does it work on all markets?
A: Yes. It is purely price-based and timeframe independent.
Q: When does bias change?
A: Only after a new confirmed swing high or low.
Q: Can it be backtested?
A: You can build strategies on top of this context using your own entry and exit rules.
Disclaimer
This script is provided for educational purposes only.
It is not financial advice.
Trading carries risk. Past performance does not guarantee future results.
Use proper risk management and test on demo accounts before applying to live markets.
Indikator dan strategi
THF Ultimate AIO Scalper & Trend PRO This is a comprehensive "All-In-One" trading suite designed to identify high-probability setups by combining **Trend Following**, **Price Action (FVG)**, and **Ichimoku Cloud** systems.
The indicator is designed to be "Ready-to-Trade" out of the box, with all major confluence filters active by default. It helps traders avoid false signals by ensuring that momentum, trend, and support/resistance levels are in alignment.
### 🛠️ Key Features & Components:
**1. Trend & Scalp Engine:**
* **Scalp Signals:** Fast EMA crossovers (7/21) for quick entries.
* **Trend Filter:** Signals are filtered by a long-term SMA (200) to ensure you are trading with the dominant trend.
* **Golden/Death Cross:** Automatically highlights major trend shifts (SMA 50 crossing SMA 200).
**2. Price Action (Fair Value Gaps):**
* **FVG Detection:** Highlights unmitigated Bullish and Bearish imbalance zones. These act as high-probability targets or re-entry zones.
* **Dashboard:** A built-in panel tracks the number of active vs. mitigated gaps.
* **Mitigation Lines:** Automatically draws lines when price tests an FVG level.
**3. Ichimoku Cloud Overlay:**
* Displays the full Ichimoku system (Tenkan, Kijun, and Kumo Cloud) to identify dynamic support/resistance and trend strength.
* **Usage:** Perfect for confirming breakout signals when price is above/below the Cloud.
**4. Momentum & Volume:**
* **Volume Coloring:** Bars are colored based on relative volume strength.
* **RSI & MACD:** Integrated buy/sell signals to spot overbought/oversold conditions instantly.
### 🎯 How to Trade (Confluence Strategy):
The power of this script lies in **Confluence** (multiple indicators agreeing):
* **Buy Setup:**
1. Price is above the **Ichimoku Cloud** and **SMA 200**.
2. Wait for a **"SCALP BUY"** signal or **"Trend BUY"** label.
3. Confirm that price is reacting to a **Bullish FVG** (Green Box).
4. **RSI/MACD** should show bullish momentum.
* **Sell Setup:**
1. Price is below the **Ichimoku Cloud** and **SMA 200**.
2. Wait for a **"SCALP SELL"** signal.
3. Confirm rejection from a **Bearish FVG** (Red Box).
---
**CREDITS & ATTRIBUTION:**
* **Fair Value Gap Logic:** This script utilizes the open-source FVG calculation method originally developed by **LuxAlgo**. We have integrated this logic with our custom trend system to provide a complete trading view.
* **Trend Logic:** Custom compilation of Moving Average crossovers and Ichimoku standard calculations.
*Disclaimer: This tool is for educational purposes only. Always manage your risk.*
Simulateur Carnet d'Ordres & Liquidité [Sese] - Custom🔹 Indicator Name
Order Book & Liquidity Simulator - Custom
🔹 Concept and Functionality
This indicator is a technical analysis tool designed to visually simulate market depth (Order Book) and potential liquidity zones.
It is important to adhere to TradingView's transparency rules: This script does not access real Level 2 data (the actual exchange order book). Instead, it uses a deductive algorithm based on historical Price Action to estimate where Buy Limit (Bid) and Sell Limit (Ask) orders might be resting.
Methodology used by the script:
Pivot Detection: The indicator scans for significant Swing Highs and Swing Lows over a user-defined lookback period (Length).
Level Projection: These pivots are projected to the right as horizontal lines.
Red Lines (Ask): Represent potential resistance zones (sellers).
Blue Lines (Bid): Represent potential support zones (buyers).
Liquidity Management (Absorption): The script is dynamic. If the current price crosses a line, the indicator assumes the liquidity at that level has been consumed (orders filled). The line is then automatically deleted from the chart.
Density Profile (Right Side): Horizontal bars appear to the right of the current price. These approximate a "Time Price Opportunity" or Volume Profile, showing where the market has spent the most time recently.
🔹 User Manual (Settings)
Here is how to configure the inputs to match your trading style:
1. Detection Algorithm
Lookback Length (Candles): Determines the sensitivity of the pivots.
Low value (e.g., 10): Shows many lines (scalping/short term).
High value (e.g., 50): Shows only major structural levels (swing trading).
Volume Factor: (Technical note: In this specific code version, this variable is calculated but the lines are primarily drawn based on geometric pivots).
2. Visual Settings
Show Price Lines (Bid/Ask): Toggles the horizontal Support/Resistance lines on or off.
Show Volume Profile: Toggles the heatmap-style bars on the right side of the chart.
Extend Lines: If checked, untouched lines will extend to the right towards the current price bar.
3. Colors and Transparency Management
Customize the aesthetics to keep your chart clean:
Bid / Ask Colors: Choose your base colors (Default is Blue and Red).
Line Transparency (%): Crucial for chart visibility.
0% = Solid, bright colors.
80-90% = Very subtle, faint lines (recommended if you overlay this on other tools).
Text Size: Adjusts the size of the price labels ("BUY LIMIT" / "SELL LIMIT").
🔹 How to Read the Indicator
Rejections: Unbroken lines act as potential walls. Watch for price reaction when approaching a blue line (support) or red line (resistance).
Breakouts/Absorption: When a line disappears, it means the level has been breached. The market may then seek the next liquidity level (the next line).
Density (Right-side boxes): More opaque/visible boxes indicate a price zone "accepted" by the market (consolidation). Empty gaps suggest an imbalance where price might move through quickly.
⚠️ Disclaimer
This script is for educational and technical analysis purposes only. It is a simulation based on price history, not real-time order book data. Past performance is not indicative of future results. Trading involves risk.
Harmonic Sniper Trigger [Fisher] - PyraTime**Concept: Precision Momentum**
The Harmonic Sniper Trigger is a custom-tuned implementation of the Fisher Transform, designed specifically to identify sharp market reversals with zero lag. Unlike standard moving averages that react slowly to price changes, the Fisher Transform uses Gaussian probability to convert price into a normal distribution, creating clear, sharp turning points.
This indicator serves as the *Trigger* component of the PyraTime system. While Time Cycles tell you *when* to look, this indicator tells you *what* to do.
Key Features
Visual Signal Markers : Prints clear "B" (Buy) and "S" (Sell) labels on the oscillator pane for instant recognition.
Trend Fills : Dynamic Green/Red shading between the signal lines makes it easy to identify trend direction at a glance.
Integrated Alerts: Fully compatible with TradingView alerts, allowing you to be notified the second momentum flips.
How to Use This Indicator
This tool is designed to filter out noise and identify the exact moment a trend reverses.
1. Wait for the Setup: Do not trade every signal. This indicator is most powerful when price is approaching a key support/resistance level or a specific Time Pivot.
2. The Trigger: When the Fisher line crosses the Signal line (changing from Red to Green or vice versa), it confirms that momentum has mathematically shifted.
3. The Execution: Use this crossover as your entry signal *only* if it aligns with your broader market thesis.
Best Practice:
Use this in conjunction with a Time-Cycle indicator (such as the GPM Architecture).
Scenario: Price hits a Vertical Time Line.
Action: Wait for this Fisher indicator to print a "B" or "S".
Result: You enter exactly at the pivot, minimizing drawdown.
Disclaimer: This tool is for technical analysis purposes only. Past performance does not guarantee future results.
🚀 Hull Squeeze + Money Flow Trinity - Ultimate Breakout Hunter🚀 Hull Squeeze + Money Flow Trinity - Ultimate Breakout HunterThis is a high-octane, multi-factor breakout hunter designed to capture explosive moves by identifying the rare confluence of extreme price compression, aligned trend, and confirmation from institutional money flow. It combines three best-in-class market analysis tools into a single, comprehensive signaling system.The indicator is engineered to filter out noisy, low-probability setups, focusing instead on high-conviction events like "MEGA SQUEEZE FIRE" and the elusive "GOD MODE SETUP".How the Trinity Works:📊 Hull Ribbon & Compression: Uses a ribbon of Hull Moving Averages (HMAs) to filter the underlying trend and, crucially, measure the compression of volatility relative to ATR. When the ribbon is highly compressed, it signals the market is coiled and ready for a major move—a Pre-Squeeze warning.💥 Squeeze Detection: Implements the classic Bollinger Band (BB) / Keltner Channel (KC) Squeeze logic to pinpoint the exact moment volatility is drained (Squeeze ON) and the moment the resulting energy is released (Squeeze FIRE).💰 Money Flow Trinity: Confirms the quality of the move by aggregating three volume-based indicators—Force Index, Chaikin Money Flow (CMF), and Accumulation/Distribution (A/D) Line. This generates a Money Flow Score ($\le 3$) that validates the directional pressure, ensuring the breakout is backed by genuine buying or selling.The Ultimate Edge:The indicator plots actionable signals directly on the chart and provides a real-time Dashboard displaying the status of each component and the final Signal Status. Use it to spot low-risk, high-reward opportunities on your favorite instruments.
Trendshift [CHE] StrategyTrendshift Strategy — First-Shift Structural Regime Trading
Profitfactor 2,603
Summary
Trendshift Strategy implements a structural regime-shift trading model built around the earliest confirmed change in directional structure. It identifies major swing highs and lows, validates breakouts through optional ATR-based conviction, and reacts only to the first confirmed shift in each direction. After a regime reversal, the strategy constructs a premium and discount band between the breakout candle and the previous opposite swing. This band is used as contextual bias and may optionally inform stop placement and position sizing.
The strategy focuses on clear, interpretable structural events rather than continuous signal generation. By limiting entries to the first valid shift, it reduces false recycles and allows the structural state to stabilize before a new trade occurs. All signals operate on closed-bar logic, and the strategy avoids higher-timeframe calls to stabilize execution behavior.
Motivation: Why this design?
Many structure-based systems repeatedly trigger as price fluctuates around prior highs and lows. This often leads to multiple flips during volatile or choppy conditions. Trendshift Strategy addresses this problem by restricting execution to the first confirmed structural event in each direction. ATR-based filters help differentiate genuine structural breaks from noise, while the contextual band ensures that the breakout is meaningful in relation to recent volatility.
The design aims to represent a minimalistic structural trading framework focused on regime turns rather than continuous trend signaling. This reduces chart noise and clarifies where the market transitions from one regime to another.
What’s different vs. standard approaches?
Baseline reference
Typical swing-based structure indicators report every break above or below recent swing points.
Architecture differences
First-shift-only regime logic that blocks repeated signals until direction reverses
ATR-filtered validation to avoid weak or momentum-less breaks
Premium and discount bands derived from breakout structure
Optional band-driven stop placement
Optional band-dependent position-sizing factor
Regime timeout system to neutralize structure after extended inactivity
Persistent-state architecture to prevent re-triggering
Practical effect
Only the earliest actionable structure change is traded
Fewer but higher-quality signals
Premium/discount tint assists contextual evaluation
Stops and sizing can be aligned with structural context rather than arbitrary volatility measures
Improved chart interpretability due to reduced marker frequency
How it works (technical)
The algorithm evaluates symmetric swing points using a fixed bar window. When a swing forms, its value and bar index are stored as persistent state. A structural shift occurs when price closes beyond the most recent major swing on the opposite side. If ATR filtering is enabled, the breakout must exceed a volatility-scaled distance to prevent micro-breaks from firing.
Once a valid shift is confirmed, the regime is updated to bullish or bearish. The script records the breakout level, the opposite swing, and derives a band between them. This band is checked for minimum size relative to ATR to avoid unrealistic contexts.
The first shift in a new direction generates both the strategy entry and a visual marker. Additional shifts in the same direction are suppressed until a reversal occurs. If a timeout is enabled, the regime resets after a specified number of bars without structural change, optionally clearing the band.
Stop placement, if enabled, uses either the opposite or same band edge depending on configuration. Position size is computed from account percentage and may optionally scale with the price-span-to-ATR relationship.
Parameter Guide
Market Structure
Swing length (default 5): Controls swing sensitivity. Lower values increase responsiveness.
Use ATR filter (default true): Requires breakouts to show momentum relative to ATR. Reduces false shifts.
ATR length (default 14): Volatility estimation for breakout and band validation.
Break ATR multiplier (default 1.0): Required breakout strength relative to ATR.
Premium/Discount Framework
Enable framework (default true): Activates premium/discount evaluation.
Persist band on timeout (default true): Keeps structural band after timeout.
Min band ATR mult (default 0.5): Rejects narrow bands.
Regime timeout bars (default 500): Neutralizes regime after inactivity.
Invert colors (default false): Color scheme toggle.
Visuals
Show zone tint (default true): Background shade in premium or discount region.
Show shift markers (default true): Display first-shift markers.
Execution and Risk
Risk per trade percent (default 1.0): Determines position size as account percentage.
Use band for size (default false): Scales size relative to band width behavior.
Flat on opposite shift (default true): Forces reversal behavior.
Use stop at band (default false): Stop anchored to band edges.
Stop band side: Chooses which band edge is used for stop generation.
Reading & Interpretation
A green background indicates discount conditions within the structural band; red indicates premium conditions. A green triangle below price marks the first bullish structural shift after a bearish regime. A red triangle above price marks the first bearish structural shift after a bullish regime.
When stops are active, the opposite band edge typically defines the protective level. Band width relative to ATR indicates how significant a structural change is: wider bands imply stronger volatility structure, while narrow bands may be suppressed by the minimum-size filter.
Practical Workflows & Combinations
Trend following: Use first-shift entries as initial regime confirmation. Add higher-timeframe trend filters for additional context.
Swing trading: Combine with simple liquidity or fair-value-gap concepts to refine entries.
Bias mapping: Use higher timeframes for structural regime and lower timeframes for execution within the premium/discount context.
Exit management: When using stops, consider ATR-scaling or multi-stage profit targets. When not using stops, reversals become the primary exit.
Behavior, Constraints & Performance
The strategy uses only confirmed swings and closed-bar logic, avoiding intrabar repaint. Pivot-based swings inherently appear after the pivot window completes, which is standard behavior. No higher-timeframe calls are used, preventing HTF-related repaint issues.
Persistent variables track regime and structural levels, minimizing recomputation. The maximum bars back setting is five-thousand. The design avoids loops and arrays, keeping performance stable.
Known limitations include limited signal density during consolidations, delayed swing confirmation, and sensitivity to extreme gaps that stretch band logic. ATR filtering mitigates some of these effects but does not eliminate them entirely.
Sensible Defaults & Quick Tuning
Fewer but stronger entries: Increase swing length or ATR breakout multiplier.
More responsive entries: Reduce swing length to capture earlier shifts.
More active band behavior: Lower the minimum band ATR threshold.
Stricter stop logic: Use the opposite band edge for stop placement.
Volatile markets: Increase ATR length slightly to stabilize behavior.
What this indicator is—and isn’t
Trendshift Strategy is a structural-regime trading engine that evaluates major directional shifts. It is not a complete trading system and does not include take-profit logic or prediction features. It does not attempt to forecast future price movement and should be used alongside broader market structure, volatility context, and disciplined risk management.
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.
Best regards and happy trading
Chervolino
new_youtube_strategy//@version=5
strategy("Dow + Homma 1m Scalper (15m filter)", overlay=true, margin_long=100, margin_short=100, initial_capital=10000)
//===== INPUTS =====
maLen = input.int(50, "Trend SMA Length", minval=5)
htf_tf = input.timeframe("15", "Higher TF")
priceTolPct = input.float(0.05, "SR tolerance %", step=0.01)
wickFactor = input.float(2.0, "Hammer/ShootingStar wick factor", step=0.1)
dojiThresh = input.float(0.1, "Doji body % of range", step=0.01)
risk_RR = input.float(2.0, "Reward:Risk", step=0.1)
capitalRiskPct = input.float(1.0, "Risk % of equity per trade", step=0.1)
//===== 1m TREND (SMA) =====
sma1 = ta.sma(close, maLen)
sma1Up = sma1 > sma1
sma1Down = sma1 < sma1
uptrend1 = close > sma1 and sma1Up
downtrend1 = close < sma1 and sma1Down
//===== 15m TREND VIA request.security =====
sma15 = request.security(syminfo.tickerid, htf_tf, ta.sma(close, maLen), lookahead=barmerge.lookahead_off)
sma15Up = sma15 > sma15
sma15Down = sma15 < sma15
uptrend15 = close > sma15 and sma15Up
downtrend15 = close < sma15 and sma15Down
//===== SWING HIGHS/LOWS (LOCAL EXTREMA) =====
var int left = 3
var int right = 3
swHigh = ta.pivothigh(high, left, right)
swLow = ta.pivotlow(low, left, right)
//===== SR FLIP LEVELS =====
var float srSupport = na
var float srResistance = na
// when a swing high is broken -> new support
if not na(swHigh)
if close > swHigh
srSupport := swHigh
// when a swing low is broken -> new resistance
if not na(swLow)
if close < swLow
srResistance := swLow
//===== CANDLE METRICS =====
body = math.abs(close - open)
cRange = high - low
upperW = high - math.max(open, close)
lowerW = math.min(open, close) - low
isBull() => close > open
isBear() => close < open
bullHammer() =>
cRange > 0 and
isBull() and
lowerW >= wickFactor * body and
upperW <= body
bearShootingStar() =>
cRange > 0 and
isBear() and
upperW >= wickFactor * body and
lowerW <= body
isDoji() =>
cRange > 0 and body <= dojiThresh * cRange
bullEngulfing() =>
isBear() and isBull() and
open <= close and close >= open
bearEngulfing() =>
isBull() and isBear() and
open >= close and close <= open
//===== SR PROXIMITY =====
tol = priceTolPct * 0.01 * close
nearSupport = not na(srSupport) and math.abs(close - srSupport) <= tol
nearResistance = not na(srResistance) and math.abs(close - srResistance) <= tol
//===== SIGNAL CONDITIONS =====
bullCandle = bullHammer() or isDoji() or bullEngulfing()
bearCandle = bearShootingStar() or isDoji() or bearEngulfing()
longTrendOK = uptrend1 and uptrend15
shortTrendOK = downtrend1 and downtrend15
longSignal = longTrendOK and nearSupport and bullCandle
shortSignal = shortTrendOK and nearResistance and bearCandle
//===== POSITION SIZING (IN RISK UNITS) =====
var float lastEquity = strategy.equity
riskCapital = strategy.equity * (capitalRiskPct * 0.01)
//===== ENTRY / EXIT PRICES =====
longStop = math.min(low, nz(srSupport, low))
longRisk = close - longStop
longTP = close + risk_RR * longRisk
shortStop = math.max(high, nz(srResistance, high))
shortRisk = shortStop - close
shortTP = close - risk_RR * shortRisk
// qty in contracts (approx; assumes price * qty ≈ capital used)
longQty = longRisk > 0 ? riskCapital / longRisk : 0.0
shortQty = shortRisk > 0 ? riskCapital / shortRisk : 0.0
//===== EXECUTION =====
if longSignal and longRisk > 0 and longQty > 0
strategy.entry("Long", strategy.long, qty=longQty)
strategy.exit("Long TP/SL", from_entry="Long", stop=longStop, limit=longTP)
if shortSignal and shortRisk > 0 and shortQty > 0
strategy.entry("Short", strategy.short, qty=shortQty)
strategy.exit("Short TP/SL", from_entry="Short", stop=shortStop, limit=shortTP)
//===== PLOTS =====
plot(sma1, color=color.orange, title="SMA 1m")
plot(sma15, color=color.blue, title="HTF SMA (15m)")
plot(srSupport, "SR Support", color=color.new(color.green, 50), style=plot.style_linebr)
plot(srResistance,"SR Resistance",color=color.new(color.red, 50), style=plot.style_linebr)
// Visual debug for signals
plotshape(longSignal, title="Long Signal", style=shape.triangleup, location=location.belowbar, color=color.lime, size=size.tiny)
plotshape(shortSignal, title="Short Signal", style=shape.triangledown, location=location.abovebar, color=color.red, size=size.tiny)
Ben D"s IndicatorIt Auto Draws and Detects, Channels draws buy and sell signals based on over bought, oversold and a few other indicators. It works on all time frames! Enjoy! Leave a comment if you like it.
Zonas de Liquidez Pro + Puntos de GiroRequirements for marking 💧:✅ High crosses the zone✅ Close returns inside (false breakout / fakeout)✅ Volume is 20% greater than the average✅ Occurs within the last 10 bars(Note: This last requirement is stated in the text but not explicitly in the code snippet provided)📚 Psychology Behind the SweepWho lost money?Traders with stops placed too tightlyBuyers who entered "on the breakout"Bots with automatic orders placed aboveWho made money?Smart Money / InstitutionsThey sold at a high priceThey hunted for liquidity before moving the priceThey know where retail stops are located🎯 How to Use the Drops in Your TradingGolden Rule:💧 near a strong zone + Multiple rejections = PROBABLE REVERSALStrategy:See 💧 at resistance → Look for SHORTSee 💧 at support → Look for LONGPrice returns to the swept zone → High-probability setupStop beyond the sweep high/low → ProtectionPractical Example:If you see 💧 LIQ at $111,263 (resistance)→ Wait for bearish rejection→ Entry: Sell at $110,800→ Stop: $111,500 (above the sweep high)→ Target: Next support level⚠️ Common Mistakes❌ Mistake 1: Trading the breakoutPrice breaks $111k → "It's going to the moon!" → Buy💧 LIQ appears → It was a trap → Drop → Loss✅ Correct Approach:Price breaks $111k → Check if there is 💧 LIQ💧 appears → "It's a trap" → Wait for rejection → Sell❌ Mistake 2: Ignoring the volumeNot all sweeps are equal.Sweeps with high volume are more reliable.No volume = it could be noise.🎓 Ultra-Fast SummaryElementMeaning💧 LIQLiquidity sweep detectedAt ResistanceBullish trap → Prepare for a shortAt SupportBearish trap → Prepare for a longWith High VolumeMore reliable signalNear Strong Zone High probability of reversal🔥 The Magic of Your IndicatorScenarioWithout this IndicatorWith this IndicatorAction"The price broke $111k, I'm buying!""There is 💧 LIQ + zone + rejections → It's a trap."ResultYou loseYou avoid a loss or gain on the short
Ultimate AIO Scalper & Trend PRO [THF] V2.0This is a comprehensive "All-In-One" trading suite designed to identify high-probability setups by combining **Trend Following**, **Price Action (FVG)**, and **Ichimoku Cloud** systems.
The indicator is designed to be "Ready-to-Trade" out of the box, with all major confluence filters active by default. It helps traders avoid false signals by ensuring that momentum, trend, and support/resistance levels are in alignment.
### 🛠️ Key Features & Components:
**1. Trend & Scalp Engine:**
* **Scalp Signals:** Fast EMA crossovers (7/21) for quick entries.
* **Trend Filter:** Signals are filtered by a long-term SMA (200) to ensure you are trading with the dominant trend.
* **Golden/Death Cross:** Automatically highlights major trend shifts (SMA 50 crossing SMA 200).
**2. Price Action (Fair Value Gaps):**
* **FVG Detection:** Highlights unmitigated Bullish and Bearish imbalance zones. These act as high-probability targets or re-entry zones.
* **Dashboard:** A built-in panel tracks the number of active vs. mitigated gaps.
* **Mitigation Lines:** Automatically draws lines when price tests an FVG level.
**3. Ichimoku Cloud Overlay:**
* Displays the full Ichimoku system (Tenkan, Kijun, and Kumo Cloud) to identify dynamic support/resistance and trend strength.
* **Usage:** Perfect for confirming breakout signals when price is above/below the Cloud.
**4. Momentum & Volume:**
* **Volume Coloring:** Bars are colored based on relative volume strength.
* **RSI & MACD:** Integrated buy/sell signals to spot overbought/oversold conditions instantly.
### 🎯 How to Trade (Confluence Strategy):
The power of this script lies in **Confluence** (multiple indicators agreeing):
* **Buy Setup:**
1. Price is above the **Ichimoku Cloud** and **SMA 200**.
2. Wait for a **"SCALP BUY"** signal or **"Trend BUY"** label.
3. Confirm that price is reacting to a **Bullish FVG** (Green Box).
4. **RSI/MACD** should show bullish momentum.
* **Sell Setup:**
1. Price is below the **Ichimoku Cloud** and **SMA 200**.
2. Wait for a **"SCALP SELL"** signal.
3. Confirm rejection from a **Bearish FVG** (Red Box).
---
**CREDITS & ATTRIBUTION:**
* **Fair Value Gap Logic:** This script utilizes the open-source FVG calculation method originally developed by **LuxAlgo**. We have integrated this logic with our custom trend system to provide a complete trading view.
* **Trend Logic:** Custom compilation of Moving Average crossovers and Ichimoku standard calculations.
*Disclaimer: This tool is for educational purposes only. Always manage your risk.*
Bitcoin Power Law Zones (Dunk)Introduction When viewed on a standard linear chart, Bitcoin’s long-term price action can appear chaotic and exponential. However, when analyzed through the lens of physics and network growth models, a distinct structure emerges.
This indicator implements the Bitcoin Power Law , a mathematical model that suggests Bitcoin’s price evolves in a straight line when plotted against time on a "log-log" scale. By calculating parallel bands around this regression line, we create a "Rainbow" of valuation zones that help investors visualize whether the asset is historically overheated, undervalued, or sitting at fair value.
The Math Behind the Model The Power Law dictates that price scales with time according to the formula: Price = A * (days since genesis)^b
This script uses the specific parameters popularized by recent physics-based analyses of the network: Slope (b): 5.78 (Representing the scaling law of the network adoption). Amplitude (A): 1.45 x 10^-17 (The intercept coefficient).
While simple moving averages react to price, this model is predictive based on time and network growth physics, providing a long-term "gravity" center for the asset.
Guide to the Valuation Zones
Upper Bands (Red/Orange): Extr. Overvalued, High Premium, Overvalued. Historically, these zones have marked cycle peaks where price moved too far, too fast ahead of the network's steady growth. The Baseline (Black Line): Fair Value. The mathematical mean of the Power Law. Price has historically oscillated around this line, treating it as a center of gravity. Lower Bands (Green/Blue): Undervalued, Discount, Deep Discount. These zones represent periods where the market price has historically lagged behind the network's intrinsic value, often marking accumulation phases.
Note: The lowest theoretical tiers ("Bitcoin Dead") have been trimmed from this chart to focus on relevant historical support levels.
How to Use Logarithmic Scale: You MUST set your chart to "Log" scale (bottom right of the TradingView window) for this indicator to function correctly. On a linear chart, the bands will appear to curve upwards aggressively; on a Log chart, they will appear as smooth, parallel channels. Timeframe: This is a macro-economic indicator. It is best viewed on Daily or Weekly timeframes. Overlay Labels: The indicator includes dynamic labels on the right-side axis, allowing you to instantly see the current price requirements for each valuation zone without manually tracing lines.
Credits This script is based on the Power Law theory popularized by Giovanni Santostasi and the original Corridor concepts by Harold Christopher Burger .
Disclaimer This tool is for educational and informational purposes only. It visualizes historical mathematical trends and does not constitute financial advice. Past performance of a model is not indicative of future results.
Further Reading
www.hcburger.com
giovannisantostasi.medium.com
SNP420/RSI_GOD_KOMPLEXRSI_GOD_KOMPLEX is a multi–timeframe RSI scanner for TradingView that displays a compact table in the top-right corner of the chart. For each timeframe (1m, 5m, 15m, 30m, 1h, 4h, 1d) it tracks the fast RSI line (not the smoothed/main one) and marks BUY in green when RSI crosses up through 30 (leaving oversold territory) and SELL in red when RSI crosses down through 70 (leaving overbought territory), always using only closed candles for reliable, non-repainting signals. The indicator remembers the last valid signal per timeframe, so the table always shows the most recent directional impulse from RSI across all selected timeframes on the same instrument.
author: SNP420 + Jarvis
project: FNXS
ps: piece and love
Cycle Forecast + MACD Divergence (Kombi v6 FULL)This indicator merges two powerful analytical models:
🔮 1. Dominant Cycle Forecasting
The script automatically identifies major structural market cycles by detecting significant swing highs and lows.
It then fits a sinusoidal wave (amplitude, phase, and period) to the dominant cycle and projects it into the future.
Features:
Automatically extracts large, dominant cycles (no noise, no small swings)
Smooth sinusoidal historical cycle visualization
Future cycle projection for 1–2 upcoming cycle periods
Dynamic amplitude and phase alignment based on market structure
Helps anticipate cycle tops and bottoms for long-term timing
📉 2. MACD Divergence Detection
Full divergence detection engine using MACD or MACD Histogram.
Detects:
Bullish Divergence
Price ↓ while MACD (or Histogram) ↑
→ Possible trend reversal upward
Bearish Divergence
Price ↑ while MACD (or Histogram) ↓
→ Possible trend reversal downward
Features:
Pivot-based divergence confirmation (no repaint)
Choice of MACD Line or Histogram as divergence source
Labels + connecting divergence lines
Works across all markets and timeframes
⚙️ Smart Auto-Pivot System
The indicator optionally adjusts pivot sensitivity based on timeframe:
Weekly → tighter pivots
Daily → medium pivots
Intraday → wider pivots
Ensures stable, meaningful divergence signals even on higher timeframes.
🎯 Use cases
Identify upcoming cycle highs/lows
Spot major trend reversals early
Improve swing entries with MACD divergences near cycle turns
Combine forecasting with momentum exhaustion
Suitable for crypto, stocks, indices, forex & commodities
🧠 Why this indicator is powerful
This tool blends time-based cycle forecasting with momentum-based divergence signals, giving you a unique perspective of where the market is likely to turn.
Cycles reveal when a move may occur.
Divergences reveal why a move may occur.
Combined, they offer highly effective market timing.
Elite S&D [By:CienF]Elite Supply & Demand
Description
Elite Supply & Demand is not just another zone indicator; it is a complete institutional trading system designed to identify high-probability imbalances in the market. Unlike standard indicators that flood the chart with weak zones, this script applies rigorous Price Action rules to filter, score, and validate only the most significant areas of interest.
The core philosophy of this tool is "Anormality". Institutional activity leaves a footprint in the form of explosive volatility relative to the recent context. This indicator detects these footprints, measures their intensity, and validates them against market structure.
Key Features
🔥 Dynamic Quality Scoring (The "Elite" Feature) The indicator doesn't just draw boxes; it rates them. It calculates a Volumetric Ratio comparing the explosive move against the historical average at the moment of creation.
Contextual Intelligence: It continues to track the initial move. If the momentum continues after a small pause, the score updates in real-time.
Visual Grades:
🔥 Fire: High Anormality (Institutional Imbalance).
⚡ Lightning: Moderate Anormality (Decent strength).
No Icon: Standard move.
🏗️ Advanced Structure Validation Includes a unique "Eventual Break" filter.
Latent Zones: You can choose to hide zones that haven't broken structure yet.
Auto-Validation: The zone remains invisible/transparent until price breaks a recent High/Low or Fractal Pivot. Once the break occurs, the zone "activates" on your chart.
🧠 Smart Mitigation Logic
No Zombie Zones: Once a zone is mitigated (touched), it is strictly processed. It can either turn gray (History Mode) or be removed instantly.
Priority Handling: Mitigated zones are never re-colored or re-validated, keeping your chart clean and accurate.
🚀 Performance Optimization
Date Lookback: Includes a "Days Back" filter to prevent the script from calculating thousands of historical candles, ensuring smooth performance even on lower timeframes (1m, 5m).
🔔 Integrated Alerts
Creation: Get notified immediately when a potential zone forms.
Validation: Get notified specifically when a latent zone breaks structure and becomes active.
How It Works ( The Logic)
Phase 1: The Base (Indecision): Identifies candles with small bodies (≤ 50% of range) representing equilibrium/accumulation.
Phase 2: The Explosion (Imbalance): Looks for a strong breakout candle (≥ 60% body) that moves away from the base.
Phase 3: The Follow-up: Verifies that the move continues. It allows for "Smart Pauses" (single indecision candles) within the trend but invalidates the zone if a reversal occurs immediately.
Phase 4: Structure Check: Verifies if the move broke the Recent Range (High/Low) or Fractal Pivots.
Settings & Configuration
1. Base & Exit Rules
Max % Body: Threshold to define an indecision candle (Default: 50%).
Explosive Min: Minimum strength required for the exit candle.
2. Structure Validation
Structure Type: Choose between Recent Range (more fluid) or Fractal Pivots (stricter).
Filter Eventual Break: Highly Recommended. If checked, zones appear only after they prove their strength by breaking structure.
3. Scoring (Quality)
High Quality Ratio: The multiplier required to earn the 🔥 icon (e.g., 2.0x larger than average).
Allow Pause: Allows the algorithm to capture larger moves even if there is a single small candle in the middle of the explosive leg.
4. Performance
Days Back: Limits how far back the indicator draws. Reduce this number on low timeframes to speed up loading.
Usage Recommendations
For Trend Trading: Look for "Follow-up" zones. If you see a 🔥 zone forming in the direction of the higher timeframe trend, it is a high-probability entry.
For Reversals: Use the "Filter Eventual Break" feature. Wait for the indicator to reveal a zone that has broken a major structure point.
Stop Loss Placement: The indicator draws the zone covering the entire "Base" (wicks included). A safe stop is typically just beyond the distal line (33% recommended) of the box.
🔔 How to Set Up Alerts
Since this indicator uses the dynamic alert() function to send detailed messages (Entry Price, Stop Zone, Type), you must configure it correctly:
Add the indicator to your chart and adjust the settings to your preference.
Click the "Create Alert" button (Clock Icon) on the right toolbar or press Alt + A.
Condition: Select "Elite S&D " from the dropdown menu.
Trigger (CRITICAL): You must select "Any alert() function call".
Note: Do not select "Crossing" or other standard conditions, or the alerts will not trigger.
Expiration: Select "Open-ended" (if you have a Premium plan) or set a future date.
Alert Actions: Choose where you want to receive the alert (Notify on App, Show Popup, Send Email, etc.).
Message: You can leave this default. The script automatically generates a detailed message with the Ticker, Timeframe, Zone Type, and Coordinates.
Click Create.
Disclaimer: This tool is designed to assist in technical analysis and does not constitute financial advice. Always use proper risk management.
DANCE WITH WOLVES VN ALL TO 1DANCE WITH WOLVES VN is a smart-money volume indicator designed for stocks and crypto.
Main features:
• logic to detect Distribution, No Demand, Absorption and Exhaustion.
• Automatically builds smart Support/Resistance zones from high-volume price leaders.
• Regression trend channel to see the short-term trend and trading range.
• Dashboard table that shows the top high/low price bars with buy/sell volume and group labels.
• Alert conditions for Breakout above resistance and At Support Area so you don’t need to watch the chart all the time.
You can use it on any symbol and timeframe. Just add the script to your chart and follow the zones (red = resistance, green = support) together with the P/L labels and the status line.
Smart Money Volume + Support/Resistance + Trend Channel.
Tự động vẽ vùng hỗ trợ/kháng cự theo volume mạnh/yếu, label (Distribution, No Demand, Absorption, Exhaustion) và kênh xu hướng.
Cách dùng:
Uptrend: ưu tiên mua ở gần cạnh dưới kênh hoặc vùng hỗ trợ.
Downtrend: ưu tiên bán/short ở gần cạnh trên kênh hoặc vùng kháng cự.
Sideway: đánh range – mua gần support, bán gần resistance, cẩn thận false break.
P… = vùng giá cao → nhìn kiếm setup chốt lời / short / tránh FOMO.
L… = vùng giá thấp → nhìn kiếm setup bắt nhịp hồi / entry buy an toàn hơn.
RSI Forecast Colorful [DiFlip]RSI Forecast Colorful
Introducing one of the most complete RSI indicators available — a highly customizable analytical tool that integrates advanced prediction capabilities. RSI Forecast Colorful is an evolution of the classic RSI, designed to anticipate potential future RSI movements using linear regression. Instead of simply reacting to historical data, this indicator provides a statistical projection of the RSI’s future behavior, offering a forward-looking view of market conditions.
⯁ Real-Time RSI Forecasting
For the first time, a public RSI indicator integrates linear regression (least squares method) to forecast the RSI’s future behavior. This innovative approach allows traders to anticipate market movements based on historical trends. By applying Linear Regression to the RSI, the indicator displays a projected trendline n periods ahead, helping traders make more informed buy or sell decisions.
⯁ Highly Customizable
The indicator is fully adaptable to any trading style. Dozens of parameters can be optimized to match your system. All 28 long and short entry conditions are selectable and configurable, allowing the construction of quantitative, statistical, and automated trading models. Full control over signals ensures precise alignment with your strategy.
⯁ Innovative and Science-Based
This is the first public RSI indicator to apply least-squares predictive modeling to RSI calculations. Technically, it incorporates machine-learning logic into a classic indicator. Using Linear Regression embeds strong statistical foundations into RSI forecasting, making this tool especially valuable for traders seeking quantitative and analytical advantages.
⯁ Scientific Foundation: Linear Regression
Linear regression is a fundamental statistical method that models the relationship between a dependent variable y and one or more independent variables x. The general formula for simple linear regression is:
y = β₀ + β₁x + ε
where:
y = predicted variable (e.g., future RSI value)
x = explanatory variable (e.g., bar index or time)
β₀ = intercept (value of y when x = 0)
β₁ = slope (rate of change of y relative to x)
ε = random error term
The goal is to estimate β₀ and β₁ by minimizing the sum of squared errors. This is achieved using the least squares method, ensuring the best linear fit to historical data. Once the coefficients are calculated, the model extends the regression line forward, generating the RSI projection based on recent trends.
⯁ Least Squares Estimation
To minimize the error between predicted and observed values, we use the formulas:
β₁ = Σ((xᵢ - x̄)(yᵢ - ȳ)) / Σ((xᵢ - x̄)²)
β₀ = ȳ - β₁x̄
Σ denotes summation; x̄ and ȳ are the means of x and y; and i ranges from 1 to n (number of observations). These equations produce the best linear unbiased estimator under the Gauss–Markov assumptions — constant variance (homoscedasticity) and a linear relationship between variables.
⯁ Linear Regression in Machine Learning
Linear regression is a foundational component of supervised learning. Its simplicity and precision in numerical prediction make it essential in AI, predictive algorithms, and time-series forecasting. Applying regression to RSI is akin to embedding artificial intelligence inside a classic indicator, adding a new analytical dimension.
⯁ Visual Interpretation
Imagine a time series of RSI values like this:
Time →
RSI →
The regression line smooths these historical values and projects itself n periods forward, creating a predictive trajectory. This projected RSI line can cross the actual RSI, generating sophisticated entry and exit signals. In summary, the RSI Forecast Colorful indicator provides both the current RSI and the forecasted RSI, allowing comparison between past and future trend behavior.
⯁ Summary of Scientific Concepts Used
Linear Regression: Models relationships between variables using a straight line.
Least Squares: Minimizes squared prediction errors for optimal fit.
Time-Series Forecasting: Predicts future values from historical patterns.
Supervised Learning: Predictive modeling based on known output values.
Statistical Smoothing: Reduces noise to highlight underlying trends.
⯁ Why This Indicator Is Revolutionary
Scientifically grounded: Built on statistical and mathematical theory.
First of its kind: The first public RSI with least-squares predictive modeling.
Intelligent: Incorporates machine-learning logic into RSI interpretation.
Forward-looking: Generates predictive, not just reactive, signals.
Customizable: Exceptionally flexible for any strategic framework.
⯁ Conclusion
By combining RSI and linear regression, the RSI Forecast Colorful allows traders to predict market momentum rather than simply follow it. It's not just another indicator: it's a scientific advancement in technical analysis technology. Offering 28 configurable entry conditions and advanced signals, this open-source indicator paves the way for innovative quantitative systems.
⯁ Example of simple linear regression with one independent variable
This example demonstrates how a basic linear regression works when there is only one independent variable influencing the dependent variable. This type of model is used to identify a direct relationship between two variables.
⯁ In linear regression, observations (red) are considered the result of random deviations (green) from an underlying relationship (blue) between a dependent variable (y) and an independent variable (x)
This concept illustrates that sampled data points rarely align perfectly with the true trend line. Instead, each observed point represents the combination of the true underlying relationship and a random error component.
⯁ Visualizing heteroscedasticity in a scatterplot with 100 random fitted values using Matlab
Heteroscedasticity occurs when the variance of the errors is not constant across the range of fitted values. This visualization highlights how the spread of data can change unpredictably, which is an important factor in evaluating the validity of regression models.
⯁ The datasets in Anscombe’s quartet were designed to have nearly the same linear regression line (as well as nearly identical means, standard deviations, and correlations) but look very different when plotted
This classic example shows that summary statistics alone can be misleading. Even with identical numerical metrics, the datasets display completely different patterns, emphasizing the importance of visual inspection when interpreting a model.
⯁ Result of fitting a set of data points with a quadratic function
This example illustrates how a second-degree polynomial model can better fit certain datasets that do not follow a linear trend. The resulting curve reflects the true shape of the data more accurately than a straight line.
⯁ What Is RSI?
The RSI (Relative Strength Index) is a technical indicator developed by J. Welles Wilder. It measures the velocity and magnitude of recent price movements to identify overbought and oversold conditions. The RSI ranges from 0 to 100 and is commonly used to identify potential reversals and evaluate trend strength.
⯁ How RSI Works
RSI is calculated from average gains and losses over a set period (commonly 14 bars) and plotted on a 0–100 scale. It consists of three key zones:
Overbought: RSI above 70 may signal an overbought market.
Oversold: RSI below 30 may signal an oversold market.
Neutral Zone: RSI between 30 and 70, indicating no extreme condition.
These zones help identify potential price reversals and confirm trend strength.
⯁ Entry Conditions
All conditions below are fully customizable and allow detailed control over entry signal creation.
📈 BUY
🧲 Signal Validity: Signal remains valid for X bars.
🧲 Signal Logic: Configurable using AND or OR.
🧲 RSI > Upper
🧲 RSI < Upper
🧲 RSI > Lower
🧲 RSI < Lower
🧲 RSI > Middle
🧲 RSI < Middle
🧲 RSI > MA
🧲 RSI < MA
🧲 MA > Upper
🧲 MA < Upper
🧲 MA > Lower
🧲 MA < Lower
🧲 RSI (Crossover) Upper
🧲 RSI (Crossunder) Upper
🧲 RSI (Crossover) Lower
🧲 RSI (Crossunder) Lower
🧲 RSI (Crossover) Middle
🧲 RSI (Crossunder) Middle
🧲 RSI (Crossover) MA
🧲 RSI (Crossunder) MA
🧲 MA (Crossover)Upper
🧲 MA (Crossunder)Upper
🧲 MA (Crossover) Lower
🧲 MA (Crossunder) Lower
🧲 RSI Bullish Divergence
🧲 RSI Bearish Divergence
🔮 RSI (Crossover) Forecast MA
🔮 RSI (Crossunder) Forecast MA
📉 SELL
🧲 Signal Validity: Signal remains valid for X bars.
🧲 Signal Logic: Configurable using AND or OR.
🧲 RSI > Upper
🧲 RSI < Upper
🧲 RSI > Lower
🧲 RSI < Lower
🧲 RSI > Middle
🧲 RSI < Middle
🧲 RSI > MA
🧲 RSI < MA
🧲 MA > Upper
🧲 MA < Upper
🧲 MA > Lower
🧲 MA < Lower
🧲 RSI (Crossover) Upper
🧲 RSI (Crossunder) Upper
🧲 RSI (Crossover) Lower
🧲 RSI (Crossunder) Lower
🧲 RSI (Crossover) Middle
🧲 RSI (Crossunder) Middle
🧲 RSI (Crossover) MA
🧲 RSI (Crossunder) MA
🧲 MA (Crossover)Upper
🧲 MA (Crossunder)Upper
🧲 MA (Crossover) Lower
🧲 MA (Crossunder) Lower
🧲 RSI Bullish Divergence
🧲 RSI Bearish Divergence
🔮 RSI (Crossover) Forecast MA
🔮 RSI (Crossunder) Forecast MA
🤖 Automation
All BUY and SELL conditions can be automated using TradingView alerts. Every configurable condition can trigger alerts suitable for fully automated or semi-automated strategies.
⯁ Unique Features
Linear Regression Forecast
Signal Validity: Keep signals active for X bars
Signal Logic: AND/OR configuration
Condition Table: BUY/SELL
Condition Labels: BUY/SELL
Chart Labels: BUY/SELL markers above price
Automation & Alerts: BUY/SELL
Background Colors: bgcolor
Fill Colors: fill
Linear Regression Forecast
Signal Validity: Keep signals active for X bars
Signal Logic: AND/OR configuration
Condition Table: BUY/SELL
Condition Labels: BUY/SELL
Chart Labels: BUY/SELL markers above price
Automation & Alerts: BUY/SELL
Background Colors: bgcolor
Fill Colors: fill
Sammy Buy/Sell Signals (OneLine Version)Sammy's buy/sell signals one line version. Very simple to follow what's going up and down.
Sequential Exhaustion 9/13 [Crypto Filter] - PyraTimeConcept: The Exhaustion Meter
This indicator is a customized version of the Sequential count, a powerful tool used by institutional traders to measure buyer and seller exhaustion. It looks for a sequence of 9 (Setup) or 13 (Countdown) consecutive candles that satisfy specific price criteria.
The purpose is simple: To tell you when a trend has run out of fuel.
Key Differentiators (The Value)
Due to the high volatility of the crypto market, standard Sequential indicators print too many false signals ("13s") during a strong trend. This custom version solves that problem with two core filters:
1. Trend Filter (EMA 200): If enabled, the indicator will automatically hide all Sell signals when the price is above the 200 EMA, protecting the user from shorting an uptrend (and vice-versa).
2. Color Confirmation: It will not print a signal unless the closing candle color matches the direction (e.g., no Red 13 sell signals on Green Candles). This drastically cleans up the chart.
Understanding the Numbers
The numbers appearing above and below the candles are your exhaustion meter.
* The "9" (Setup): Indicates a short-term trend is nearing exhaustion.
* The "13" (Countdown): Indicates the trend is statistically complete and a reversal is highly probable.
The Actionable Strategy (The PyraTime Rule)
This indicator is designed to be your Exit Tool. Use it to determine when to take profit from an existing trade.
* Example: You enter Long at the GPM Time Line. When the PyraTD prints a Red 9 or Red 13, you take profit immediately.
Final Note
Use the integrated visibility settings to turn off signals (e.g., hide 9s or Sells) to customize the view to your preferred trading style.
Disclaimer: This tool measures mathematical exhaustion and is part of the PyraTime system. It is not financial advice.
Bullish and Bearish Divergence entrythis strategy is a signal to traders where there is a divergence in the chart..
均线变色K线系统 with 转折箭头//@version=6
indicator("均线变色K线系统 with 转折箭头", overlay=true, max_lines_count=500, max_labels_count=200)
// 输入参数
ma_length = input.int(20, title="均线周期", minval=1)
atr_filter = input.bool(true, title="启用ATR波动过滤")
atr_length = input.int(14, title="ATR周期", minval=1)
atr_multiplier = input.float(1.5, title="ATR波动阈值", minval=0.1, step=0.1)
show_arrows = input.bool(true, title="显示转折箭头")
candle_coloring = input.bool(true, title="启用K线变色")
// 计算均线和ATR
ma = ta.sma(close, ma_length)
atr_value = ta.atr(atr_length)
avg_atr = ta.sma(atr_value, atr_length)
// 判断均线方向和趋势转折点
ma_rising = ta.rising(ma, 1)
ma_falling = ta.falling(ma, 1)
// 使用更严格的趋势转折检测（避免repainting）
ma_rising_prev = ta.rising(ma, 2)
ma_falling_prev = ta.falling(ma, 2)
// 检测趋势转折点（确保只在K线收盘确认时检测）
trend_change_up = ma_rising and not ma_rising_prev and (not atr_filter or atr_value >= avg_atr * atr_multiplier)
trend_change_down = ma_falling and not ma_falling_prev and (not atr_filter or atr_value >= avg_atr * atr_multiplier)
// 设置颜色
ma_color = ma_rising ? color.rgb(255, 0, 0) : color.rgb(0, 0, 255) // 红/蓝
candle_color = ma_rising ? color.rgb(255, 0, 0) : color.rgb(0, 0, 255)
border_color = ma_rising ? color.rgb(255, 0, 0) : color.rgb(0, 0, 255)
wick_color = ma_rising ? color.rgb(255, 0, 0) : color.rgb(0, 0, 255)
// 绘制彩色均线
plot(ma, color=ma_color, linewidth=2, title="变色均线")
// 使用plotcandle绘制彩色K线
plotcandle(candle_coloring ? open : na,
candle_coloring ? high : na,
candle_coloring ? low : na,
candle_coloring ? close : na,
title="变色K线",
color = candle_color,
wickcolor = wick_color,
bordercolor = border_color,
editable = true)
// 绘制趋势转折箭头（只在K线确认时显示）
if show_arrows and barstate.isconfirmed
if trend_change_up
label.new(bar_index, low * 0.998, "▲",
color=color.rgb(0, 255, 0),
textcolor=color.white,
style=label.style_label_up,
yloc=yloc.price,
size=size.normal)
else if trend_change_down
label.new(bar_index, high * 1.002, "▼",
color=color.rgb(255, 0, 0),
textcolor=color.white,
style=label.style_label_down,
yloc=yloc.price,
size=size.normal)
// 背景色轻微提示（可选）
bgcolor(ma_rising ? color.new(color.red, 95) : color.new(color.blue, 95), title="趋势背景提示")
EMA Percent Angle & Slope VisualizerEMA Percent Angle & Slope Visualizer is a powerful trend-strength tool that measures the true geometric slope of an EMA using percent-normalized angle calculations.
Unlike raw angle or ATR-based angle methods, this indicator uses the formula:
angle = atan( (EMA_t - EMA_(t-1)) / EMA_(t-1) ) * (180 / pi)
This gives you a universal slope measurement that works across stocks, indices, currencies, and crypto — regardless of price scale.
🔍 Features
Percent-normalized EMA angle for accurate trend strength
Auto-detected slope segments
Dynamic EMA color
🟢 Bullish slope
🔴 Bearish slope
⚪ Neutral (angle below threshold)
Dashed slope lines drawn only during valid slope runs
Angle label displayed at slope end
Works on any timeframe
Designed for momentum traders, trend followers, breakout traders, and algo developers
📌 Why Percent-Normalized Angle?
Raw price angle is meaningless because angles depend on chart scaling.
Percent-normalized angle gives a true slope, equal across all instruments.
✔ Tip
Slopes above +0.15° and below –0.15° represent strong trend phases for Nifty.
Adjust threshold for your timeframe according to your script
Triple Sine Oscillator (TSO) — Squeeze EditionTriple Sine Oscillator (TSO) – Squeeze Edition
A unique sine-cubed momentum oscillator that identifies cyclic exhaustion zones combined with real-time liquidity stress detection (MLO proxy via credit spreads + VIX).
Designed for both normal stocks and heavily shorted names (GME/AMC-style).
Features:
• Overbought/oversold reversals
• Bullish/bearish divergence
• "Squeeze Favorable" background + amplified alerts
• Real-time dashboard with trading advice
• Special 🚀 SQUEEZE and 💎 MEGA alerts when conditions align
Volume Profile S/R + OB/OS + BreaksAs a support resistance trader I have created this indicator that shows SR lines. RSI over bought and over sold. I also added momentum candle.
It's easy to use. The arrows show over bought and over sold, that's where I start to be interested. Confirmation is if we are near a support/resistance area. shown as a red/green line.
Don't just trade the RSI, Be patient and only take the perfekt setups.
I't clean, it's simple it works.
