Hap Mum Formasyonu - Candlestick PatternsThis indicator is a comprehensive tool that automatically scans for popular Candlestick Patterns on symbols you select and displays the results in a table on your screen.
Unlike standard scanners, this script allows you to create 10 Different Custom Watchlists. You can add up to 20 symbols to each list and switch between lists via the settings menu to see instant scanning results.
🚀 Key Features
10 Custom Lists: Organize your portfolio into groups (e.g., Indices, Crypto, Forex). Each list holds 20 symbols.
Trend Filter: Patterns are validated based on the trend direction, not just the candle shape. Bullish patterns are searched in downtrends, and Bearish patterns in uptrends.
Option 1: Is Price above/below SMA 50?
Option 2: Price relative to SMA 50 & SMA 200 alignment.
Visual Table: Bullish signals are shown in the Green box, Bearish signals in the Red box.
Flexible Settings: You can toggle specific patterns on/off and change the trend detection method.
📊 Supported Patterns & Legend
Abbreviations used in the dashboard:
Bullish Signals:
DD: Dragonfly Doji
H: Hammer
IH: Inverted Hammer
EB: Engulfing Bullish
MS: Morning Star
MDS: Morning Doji Star
P: Piercing Line
HB: Harami Bullish
TWS: Three White Soldiers
Bearish Signals:
GD: Gravestone Doji
HM: Hanging Man
SS: Shooting Star
EB: Engulfing Bearish
ES: Evening Star
EDS: Evening Doji Star
HB: Harami Bearish
TBC: Three Black Crows
DCC: Dark Cloud Cover
🛠 How to Use?
Add the indicator to your chart.
Open Settings.
Select a list from "Which List Do You Want to Scan?" (e.g., List 1).
Enter your ticker symbols into the corresponding group fields below (LIST 1, LIST 2...).
Click OK, and the table will update with the signals.
Disclaimer: This tool is for educational purposes only. Candlestick patterns do not guarantee future market movements. Always manage your risk.
インジケーターとストラテジー
HaP RSI ComboHaP RSI Combo
Description:
This script is a comprehensive RSI Screener designed to help traders monitor up to 200 symbols simultaneously across 5 different custom lists. It combines two powerful technical strategies: RSI Divergences and RSI Moving Average Crossovers. Instead of switching between charts, you can see all bullish and bearish signals in a single, organized table on your screen.
Key Features:
Mass Scanning:
Supports 5 Custom Lists.
Each list can hold up to 40 symbols.
Total capacity: 200 symbols scanned in real-time.
RSI Divergence Detection:
Detects Regular Bullish (PU) and Hidden Bullish (GPU) divergences.
Detects Regular Bearish (NU) and Hidden Bearish (GNU) divergences.
Fully customizable Pivot Lookback and Range settings to fine-tune sensitivity.
RSI & MA Crossover Strategy:
Scans for RSI crossing above or below a Moving Average.
Supports various MA types: SMA, EMA, SMMA (RMA), WMA, VWMA.
Customizable RSI and MA lengths.
Visual Dashboard:
Displays a clean table on the chart.
Green Column: Shows all Bullish signals (PU, GPU, RSI Buy).
Red Column: Shows all Bearish signals (NU, GNU, RSI Sell).
Adjustable text size and transparency settings.
Abbreviations Used in the Table:
PU: Regular Bullish Divergence (Positive Uyumsuzluk)
GPU: Hidden Bullish Divergence (Gizli Pozitif Uyumsuzluk)
NU: Regular Bearish Divergence (Negatif Uyumsuzluk)
GNU: Hidden Bearish Divergence (Gizli Negatif Uyumsuzluk)
AL/BUY: RSI Crossed Above MA
SAT/SELL: RSI Crossed Below MA
How to Use:
Open the indicator settings.
Select which list group you want to display (List 1, List 2, etc.).
Enter your favorite symbols (tickers) into the corresponding fields manually.
Adjust the timeframe and strategy parameters if needed.
Watch the table for real-time signals.
Note: Due to Pine Script request.security limits, ensure you are not exceeding the execution time limits if you add too many complex calculations, though this script is optimized for performance.
ICT Entry V1 [TS_Indie]📌 Description – ICT Entry V1
This trading system is based on price action, combined with FVG, iFVG, and liquidity, and it uses the mechanism from the indicator “Smallest Swing ” to validate swings that become liquidity.
⚙️ Core Logic & Working Mechanism
I won’t explain FVG in detail, as most traders are already familiar with it.
Let’s focus on the mechanism of iFVG instead.
The concept of iFVG is based on a supply-to-demand flip and a demand-to-supply flip within an FVG zone.
For an iFVG to be confirmed, the candle close must break through the FVG.
A wick alone does not count as a valid iFVG confirmation.
The confirmation of market structure swings uses a pivot length mechanism combined with price action.
It validates a swing by detecting a structure break formed by candles making new highs or new lows.
📈 Buy Setup
1.Liquidity sweep on the demand side, with price closing above the liquidity level.
2.A demand zone is formed as FVG and iFVG, where iFVG is located above FVG.
3.The gap between the upper box of FVG and the lower box of iFVG must be within the defined Min and Max range.
4.Market Structure must be in a Bullish trend.
5.Place a Pending Order at the upper box of FVG and set Stop Loss at the lower box of FVG (Entry and Stop Loss can be adjusted using Entry Zone and ATR-based Stop Loss).
📉 Sell Setup
1.Liquidity sweep on the supply side, with price closing below the liquidity level.
2.A supply zone is formed as FVG and iFVG, where iFVG is located below FVG.
3.The gap between the lower box of FVG and the upper box of iFVG must be within the defined Min and Max range.
4.Market Structure must be in a Bearish trend.
5.Place a Pending Order at the lower box of FVG and set Stop Loss at the upper box of FVG (Entry and Stop Loss can be adjusted using Entry Zone and ATR-based Stop Loss).
⚙️ Liquidity Sweep Conditions
➯ When a liquidity sweep occurs on the demand side, the system will start looking for Buy Setup conditions.
➯ When a liquidity sweep occurs on the supply side, the system will immediately switch to looking for Sell Setup conditions.
➯ The system will always prioritize the most recent liquidity sweep and search for setups based on that direction.
➯ The liquidity sweep condition will be invalidated when price closes back below (for demand sweep) or above (for supply sweep) the most recently swept liquidity level.
⭐ Pending Order Cancellation Conditions
A Pending Order will be canceled under the following conditions:
1.A new Price Action signal appears on either the Buy or Sell side.
2.When Time Session is enabled, the Pending Order is canceled once price exits the selected session.
🕹 Order Management Rule
When there is an active open position, the indicator restricts the creation of new Pending Orders to prevent overlapping positions.
⚠️ Disclaimer
This indicator is designed for educational and research purposes only. It does not guarantee profits and should not be considered financial advice. Trading in financial markets involves significant risk, including the potential loss of capital.
🥂 Community Sharing
If you find parameter settings that work well or produce strong statistical results, feel free to share them with the community so we can improve and develop this indicator together.
ORB with Range Context📌 What This Indicator Does
This indicator plots the Opening Range (OR) — the high and low established during a user-defined session window at market open — and provides context on the range's significance by comparing it to recent volatility.
After the opening range session completes, the indicator displays:
• ORB High and Low as horizontal reference levels
• Optional Midline (often acts as intraday support/resistance)
• Target projections at customizable multiples when breakout occurs
• Range Quality classification (Narrow / Normal / Wide)
🔬 How It Works
Step 1: Opening Range Capture
During the session window (default: 09:15–09:20 IST for Indian markets), the indicator tracks the highest high and lowest low. These become the day's Opening Range boundaries.
Step 2: Range Quality Analysis
This is where this indicator differs from standard ORB tools. It compares today's range to the instrument's Average True Range (ATR) and classifies it:
• NARROW — Range is less than 0.5× ATR
Interpretation: Price compression. The market opened in a tight range relative to recent volatility. Compression often precedes expansion — breakouts from narrow ranges can be more directional.
• NORMAL — Range is between 0.5× and 1.2× ATR
Interpretation: Typical opening behavior. Standard breakout expectations apply.
• WIDE — Range is greater than 1.2× ATR
Interpretation: The market opened with unusual volatility — possibly due to gaps, news events, or overnight developments. Wide ranges may indicate that much of the day's move has already occurred.
Step 3: Breakout Detection
A breakout is confirmed when price closes beyond the ORB High or Low (not just wicks through). The indicator tracks the first breakout direction each day.
Step 4: Target Projection
On confirmed breakout, targets are calculated using the ORB range as the measurement unit:
• Target 1 = Breakout Level ± (Range × 1.0)
• Target 2 = Breakout Level ± (Range × 1.5)
• Target 3 = Breakout Level ± (Range × 2.0)
⚙️ Settings Guide
Opening Range Settings
• ORB Session Window — Time window for capturing the range. Default: 0915-0920 (first 5 min for NSE/BSE) or 0915-10:00(first 45 mins for NSE/BSE. US Markets: 0930-0935 or 0930-0945.
• Show Midline — Toggle the range midpoint display
Target Projection
• Target 1/2/3 (x Range) — Multipliers for profit targets. Default values (1.0, 1.5, 2.0) follow classical ORB methodology.
Range Quality Analysis
• ATR Period — Lookback for ATR calculation (default: 14)
• Narrow Threshold — Ranges below this ATR multiple are classified as narrow (default: 0.5)
• Wide Threshold — Ranges above this ATR multiple are classified as wide (default: 1.2)
📈 How to Use This Indicator
1. Apply to an intraday chart (1-min to 5-min recommended)
2. Wait for the ORB session to complete — levels appear after the time window ends
3. Check Range Quality in the info panel
4. Watch for breakout confirmation — price must close beyond ORB High or Low
5. Use projected targets for trade management
💡 Practical Tips
• Narrow Range Days: Often produce cleaner breakout trades. Tight opening suggests indecision that typically resolves directionally.
• Wide Range Days: If range exceeds 1.5× ATR, consider whether the instrument has already made its daily move.
• Midline Usage: After breakout, the midline often acts as a pullback level for re-entry or confirmation.
📊 Why Range Quality Matters
Most ORB indicators plot static levels without context. A 100-point range on NIFTY might be significant on a quiet day but trivial on a volatile day.
By normalizing against ATR, this indicator answers: "Is today's opening range tight or loose relative to what this instrument normally does?"
This helps traders:
• Calibrate profit expectations
• Assess risk appropriately
• Avoid mechanical trading without market context
🔔 Alerts Available
• ORB Bullish Breakout
• ORB Bearish Breakout
• Target 1 Hit
• Target 2 Hit
⚠️ Notes
• Works on intraday timeframes only
• Best suited for liquid instruments with defined opening sessions
• Range Quality is contextual guidance, not a standalone signal
• Always use appropriate risk management
Anchored VWAP PercentageINDICATOR: ANCHORED VWAP PERCENTAGE (AVWAP)
1. Overview
The Anchored VWAP Percentage (AVWAP) is a quantitative momentum and mean-reversion tool. It measures the percentage distance between the current price and a Volume Weighted Average Price (VWAP) that resets automatically based on specific time cycles. It allows traders to identify overextended market conditions relative to institutional value.
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2. Core Logic & Calculation
The script tracks the relationship between price and volume starting from a specific Anchor Point .
* Volume-Weighted Foundation: Unlike simple moving averages, this indicator uses the VWAP formula: sum(Volume * Price) / sum(Volume) .
* Automatic Anchoring: The starting point (Anchor) resets automatically depending on the chart timeframe (e.g., resets weekly on a 15m chart, or yearly on a Daily chart).
* Percentage Deviation: It calculates the precise gap between the price and the VWAP, plotted as an oscillator: ((Price - VWAP) / VWAP) * 100 .
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3. Adaptive Intelligence (Multi-Asset & Multi-TF)
The AVWAP is built with an internal database of 85th Percentile (P85) volatility thresholds. It recognizes that different assets have different "stretching" limits:
1. Asset-Specific Calibration: It includes optimized data for Bitcoin, Ethereum, Altcoins, Forex, and Indices .
2. Dynamic Timeframe Mapping: The anchor period and the exhaustion thresholds adjust automatically. For example:
* Intraday (1m-5m): Anchors to an 8-hour (480 min) cycle.
* Mid-Term (15m-60m): Anchors to a Weekly (W) cycle.
* Swing (Daily): Anchors to a Yearly (12M) cycle.
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4. Visual Anatomy
The indicator is designed for high-speed decision-making:
* The Histogram:
* Green: Price is trading above the VWAP (Bullish premium).
* Red: Price is trading below the VWAP (Bearish discount).
* P85 Threshold Lines:
* These lines represent the 85th percentile of historical deviations . Historically, the price stays within these boundaries 85% of the time.
* Background Highlighting: When the histogram crosses the P85 line, the background glows, signaling a Statistical Exhaustion Zone where a retracement to the mean is highly probable.
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5. How to Trade with AVWAP
* Mean Reversion: When the histogram reaches the P85 Zone , the price is "statistically overextended." This is a prime area to look for reversals or to take profits on existing trends.
* Trend Strength: If the histogram stays near the Zero Line while the price moves, the trend is supported by healthy volume.
* Value Area: The Zero Line represents the Fair Value . Buying near the Zero Line during a bullish histogram (Green) offers a high-probability entry with low risk.
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6. Technical Parameters
* Asset Selection: A dropdown to switch between Crypto, Forex, and Indices.
* Color Customization: User-defined colors for bullish and bearish sentiment.
* Precision Control: 4-decimal precision for accurate tracking of thin-margin assets like Forex.
JRockets MACDThis is my favorite indicator, that I use as one of my conformations before entering a trade in the 15M timeframe This MACD is tailor made by me to work efficient, consistent, and effectively. I back tested tons of times, it helps if you're entering too early, late and even get faked out. The MACD is by far my favorite and one and only indicator, and here's why. The MACD contains 2 EMA lines where it gives me a signal on when to buy or sell. If the Blue line crosses the red line on the bottom of the indicator its giving buy signals as long as the blue line stays on top, and when the red line crosses the blue line on top of the indicator its giving sell signals as long as the redline stay on top. Be sure to pay attention to the candle stick patterns as well and has to be around key levels. What makes this a better signal as well, the MACD has a built-in momentum hologram, some see it as overbought/undersold, or volume indicator. By combining the momentum hologram with your buy/sell ema will prevent you from entering a trade in the wrong area. The momentum hologram is almost self-explanatory, when there is buying pressure, the hologram turns blue, the darker the blue the stronger the momentum as well as the length of the hologram, once is start losing momentum it starts to turn to a lighter blue. Eventually a light red to a solid red showing momentum for a strong sell, this works vice versa. Combing all that at once and built instincts it becomes very effective. You can also use the EMA signals as divergence, but I don't really trade with divergence but could possibly give you conformation. Using the MACD is like having 3-4 indicators in one with all of them working fluent together. I have the MACD locked on the 15M timeframe because that's where it works more accurately. You can make the EMA lines a bit thicker to be easier to see. I would change the MACD visible for the 15M timeframe only or 1M to 1H timeframe. I hope this indicator helps you, as it did for me. You can simply click add on your charts on the top left to get this free indicator. Peace out and enjoy! Be sure to share, this indicator with your friends as it may help someone out.
Adaptive Bull Ratio Strategy█ Overview: Why This Strategy
Most option strategies fall into two traps:
They are too rigid: A "Call Ratio Spread" works great in slow markets but gets destroyed if the market rallies hard.
They are too simple: A simple "Buy Call" suffers from time decay (Theta) if the market chops sideways.
The Adaptive Bull Ratio Strategy solves both . It is a living strategy that "shifts gears" based on price action.
It is called "Adaptive" because it morphs its structure three times during a trade. It starts conservative to harvest Time Decay, but if the market explodes upwards, it "uncaps" itself to ride the trend aggressively.
█ The Entry Philosophy: Why Supertrend?
The default setting uses the Supertrend indicator as the trigger. This is intentional:
Volatility Awareness: Supertrend adapts to market noise using ATR. In high volatility, bands widen to prevent false entries.
Trend Confirmation: Since Phase 1 involves selling options, entering "too early" against a falling market is dangerous. Supertrend forces patience, waiting for a confirmed reversal (Close > Trend Line), ensuring the momentum is actually in your favor before you commit capital.
The "Drift" Benefit: This strategy excels in markets that "drift" upwards. Supertrend identifies these trends while filtering out short-term chop.
Flexibility with External Sources:
While Supertrend is the default, the strategy is designed to be flexible. You can enable the 'Enable External Source' option in the settings to plug in any custom indicator (e.g., Moving Averages, Parabolic SAR, or a proprietary trendline).
The Golden Rule for External Sources: The script interprets a Bullish Signal whenever your External Source line is below the Close price (Ext Source < Close).
Compatibility: As long as your custom indicator behaves like a support line in an uptrend (plotting below the candles), it will work seamlessly with this strategy's logic.
█ The "Long Only" Rationale: Avoiding the Volatility Trap
Why not trade this on the short side (Puts) during crashes?
The Volatility Trap (Vega Risk): In Bull markets, Implied Volatility (IV) usually drops, helping your sold options decay faster. In Bear markets, IV explodes (panic). Selling OTM Puts during a crash is dangerous as their value skyrockets, neutralizing gains.
Velocity Risk: Bear markets crash fast ("Elevator Down"). Prices can blow through adjustment levels faster than the strategy can safely roll down, causing slippage.
Structural Skew: OTM Puts are inherently more expensive. Buying expensive ITM Puts and selling expensive OTM Puts shifts the breakeven further away, making V-shape recoveries painful.
█ How It Works & Stands Out
This strategy actively transforms risk profiles based on market movement:
Phase 1: The "Safe" Start (Entry)
Setup: Initiates a Call Ratio Spread (Buy 2 ITM, Sell 4 OTM) + Protective Puts.
Logic: Profits from sideways drift or slow rallies via Time Decay (Theta). The sold options finance the trade.
Phase 2: The "Shift" (Adjustment Level 1)
Trigger: Market moves above Leg 2 (3 OTM Call).
Action: Rolls Up the position. Exits initial legs, enters new higher legs, and adds a Short Put to finance the roll.
Impact: Aggressive. You bet the trend is strong enough to support the added downside risk of the short put.
Phase 3: The "Uncap" (Adjustment Level 2)
Trigger: Market moves above Leg 3 (4 OTM Call).
Action: Exits all Sold Calls.
Impact: Uncaps profit potential. The trade becomes a Net Long position (Long Calls + Short Puts), allowing you to ride a massive rally without a ceiling.
Phase 4: The "Lock-In" (Optional Trail Adjustment)
Trigger: The market goes parabolic (price rises X levels above Leg 3, configurable in settings).
Action (If Enabled):
Call Adj: Exits the Phase 3 calls and buys fresh 1-OTM calls (Rolling Up to lock profits).
Put Adj: Exits all Put legs (Removing downside risk completely).
Impact: Maximum Safety. This phase is about "banking" the windfall from a massive rally and leaving a smaller, risk-free runner to capture any final extension.
█ How to Start: A Quick Setup Guide
Step 1: Map Expiry Dates
Manually input your trading expiry dates in Settings -> Expiry Management.
Format: YYYY-MM-DD (e.g., 2025-12-25). Strict adherence required for DhanHQ.
Step 2: Configure Symbol & Size
Exchange/Symbol: Enter NSE and NIFTY (or your ticker).
Lot Multiplier: Default is 1. Set to 2 to double all quantities (e.g., Buy 2 becomes Buy 4).
Step 3: Understand Visuals
Entry Window (Light Blue): Strategy is scanning for new trades.
Non-Entry Window (Dark Blue): Trading blocked (Day before Expiry & Expiry Day). Only management allowed.
Green Box: Valid Late Entry Zone.
Red Dashed Line: Invalidation Level (if price touches this, no late entry).
Fuchsia Line: Trigger level for Special Trail Adjustments (Phase 4).
IMPORTANT: Broker & Technology Heads-Up:
The alerts generated by this script ({"secret": "...", "alertType": "multi_leg_order"...}) are specifically formatted for the DhanHQ webhook structure.
Dhan Users: Plug-and-play.
Other Brokers: You need middleware (NextLevelBot, Quantiply) to parse the JSON.
█ Risk Disclaimer & Advice
Trading options involves substantial risk.
The Whipsaw Risk: In Phase 2, you are Long Calls and Short Puts. A sharp reversal causes losses on both sides.
Margin: Selling options requires significant margin. Keep a 15-20% cash buffer to handle adjustments instantly.
Testing: This strategy is optimized for NIFTY Weekly Options. Effectiveness on BankNifty or Stocks is untested and may require parameter tuning.
Advice:
Backtest: Use TradingView Replay.
Paper Trade: Run for at least one expiry cycle before live deployment.
Consult: Seek professional financial advice before trading.
Practical Tips for Smooth Execution
For a new trader deploying this system, these operational tips are vital:
Capital Buffer: Do not trade at your limit. Always keep 10-15% free cash in your broker account. Adjustments (specifically Phase 2, where you sell an extra Put) require additional margin instantly. If margin is short, the order fails, and your hedge breaks.
Liquidity Awareness : The script trades "Far Deep OTM" options (Leg 4) to reduce margin. On indices like Nifty/BankNifty, this is fine. On individual stocks, these deep strikes might be illiquid. Check the option chain volume before deploying on stocks.
Trust the Process (but Verify) : While the algo drives, you are the pilot.
Check your API connection every morning.
Ensure the "Entry Window" background color on the chart matches your real-world date.
Verify that your broker executed all legs of a multi-leg order (partial fills are rare but possible).
The "Human" Stop: If major news breaks (e.g., unexpected election results, war announcements), volatility can expand faster than any algo can react. It is acceptable—and smart—to pause the strategy during known "Black Swan" events or earnings releases.
█ Timeframe Selection: The 30-Minute Standard
Critical Requirement: This indicator must be applied to a 30-minute chart.
Why?
Noise Filtering: The Supertrend logic is tuned to capture multi-day trends. Lower timeframes (5m, 15m) are full of "noise"—random fluctuations that look like trend changes but aren't.
Execution Logic (The Hybrid Engine): The script has a built-in "Dual Timeframe" architecture.
Decision Layer (30m): Uses the chart timeframe to decide when to be Bullish or Bearish.
Execution Layer (5m): Internally fetches 5-minute data to manage the how (Adjustments, Late Entries, and precise invalidation).
The Risk of Lower Timeframes: If you run the main chart on 5-minutes, you destroy this hierarchy. You will get too many signals, pay too much brokerage, and the internal logic may behave erratically.
Recommendation: Always keep your TradingView chart interval at 30m. Do not switch to lower timeframes expecting "faster" signals; you will likely just get "false" signals.
█ Testing Scope, Feedback
⚠️ Important Note on Asset Classes:
This strategy logic and the associated strike step calculations have been rigorously tested ONLY on NIFTY Index Options with Weekly Expiry.
BankNifty / Sensex / FinNifty: The volatility characteristics (ATR) and strike intervals of these instruments differ significantly from NIFTY. The effectiveness of this strategy on these other scripts has not been verified and may require different parameter tuning (e.g., strike_step or ATR Length).
Stocks: Individual stock options often lack the liquidity required for the "Deep OTM" legs, leading to potential execution failures.
We encourage traders to backtest this logic on other indices and share their findings! If you find a robust parameter set for BankNifty or observe unique behaviors on other scripts, please let us know in the comments below so we can improve the algorithm for everyone. Your feedback is appriciated.
Price Action Assistant V2All in One Assistant for Price Action Traders
1-Calculates and Displays the Opening Gap Relative to ADR.
2-Information Table Showing Yesterday’s and Today’s Range Plus Average Bar Range.
3-Displays Micro-Gaps (Fair Value Gaps).
4-Advanced Bar Numbering With an Option to Display at Custom Intervals, Using 9 or 12 Bar Color Multiples to Visualize the Closure of 45-Minute or 60-Minute Candles on an M5 Chart.
5-Plots Previous High, Low, and Close Levels Plus the Current Session Open.
6-Displays a 3-Bar Micro Channel in the Same Direction.
7-Includes Two Different Moving Averages.
8-Displays the Daily Date and Day-of-Week Label for Easy Journaling and Chart Archiving.
Ultimate Auto Trendlines Improved No lag, No Repaint with TableA major update - cleanest, most accurate non-repainting trendline tool.
What's new in this version:
• Connects MULTIPLE recent pivots (not just consecutive) → stronger, more reliable levels
• Solid lines extended far right → instant future S/R projection
• Built-in table (top-right): Price + EMA 10/20/50 (Above/Below) + MACD (Bull/Bear) + RSI (Bull/Bear) + ADX (Strong/Weak)
• Alerts for new trendlines — get notified the moment a fresh level forms
• Optional "R"/"S" pivot labels — clean visual swing confirmation
• Max 8 lines total → keeps your chart readable and focused
Why traders are adding this right now:
• 100% non-repainting – safe for live entries & alerts
• 80–85%+ touch/bounce rate in trending markets (SPY/QQQ/NASDAQ daily & 4H backtests)
• Angle filter kills flat/noise lines
• Works killer on stocks, indices, forex majors, crypto
Best settings to start:
Pivot Left/Right: 5/5
Min Angle: 12–15°
Max Trendlines: 8
Line Extension: 100–200 bars
Show Labels: On
Want the latest updates, settings tweaks, or new versions first?
Please Follow me on X → @TrendRiderPro1
Drop a like/favorite/comment if you add it – I read every one and reply to as many as I can.
Any feedback (bugs, ideas, your best settings) is super welcome!
Happy trading – let’s catch those clean bounces & big moves! 🚀📈
If you add it, drop a like/favorite/comment — I read every one and reply to as many as I can.
Any feedback (settings, bugs, ideas) is super welcome — helps me keep improving it.
Happy trading — let’s catch those clean bounces & big moves! 🚀
Smart Signals [Vdubus]Smart Signals
Concept & Philosophy
Smart Signals is a "Regime-Filtered" oscillator designed to solve the biggest problem with standard indicators: Counter-trend noise.
Most oscillators (like Stochastic or RSI) are "dumb" to market context—they will signal "Sell" continuously during a strong uptrend simply because the price is high. Smart Signals fixes this by first determining the Market Regime (Bullish or Bearish) and then strictly filtering out any signal that contradicts that trend.
It creates a "Tiered" trading system that separates standard trend-following entries from high-probability "Sniper" entries (Hidden Divergence), all presented in a clean, color-blind-friendly visual interface.
Core Functions
1. The "Sheriff" (Trend Filter)
At the heart of the indicator is a heavy, modified Hull Moving Average (HMA 200) that acts as the trend baseline.
Bullish Regime: When the baseline is sloping UP, the indicator enters "Buy Only" mode. All Sell signals are mathematically deleted.
Bearish Regime: When the baseline is sloping DOWN, the indicator enters "Sell Only" mode. All Buy signals are mathematically deleted.
The Math: It uses a custom difference-weighted formula (wmaHalf = Length / 1) to create a stable, chop-resistant trend anchor.
2. Dual-Signal Engine
The indicator scans for two distinct types of entries simultaneously:
♦ Standard Signals (Blue/Red Diamonds):
Logic: A classic Stochastic pullback (Cross 20/80) aligned with the trend.
Use Case: These are frequent "Bread and Butter" trend entries. They are excellent for scaling into a position or adding to a winner as the trend continues.
Location: Plotted at the top (Sell) and bottom (Buy) edges of the panel.
+ Sniper Signals (Gold Crosses):
Logic: Hidden Divergence. The script detects when Price holds structure (Higher Low) while Momentum resets (Lower Low). This is a "Slingshot" setup.
Use Case: These are rare, high-conviction entries. They often mark the end of a complex correction and the resumption of the main trend.
Location: Plotted on the Zero Line to indicate structural strength.
3. Smart Momentum Histogram
The histogram visualizes the "Energy" of the move (MACD 21, 34, 7), but with a twist. It is color-coded to the signal priority:
Gold Bars: A Sniper (Divergence) setup is active.
Solid Blue/Red Bars: A Standard Signal is active.
Faded Blue/Red Bars: The trend is active, but momentum is resetting (waiting mode).
Gray Bars: Counter-trend noise (Ignore).
How to Trade It
Check the "Road": Look at the general color of the histogram columns.
Blue Columns: Look for Longs.
Red Columns: Look for Shorts.
The "Sniper" Entry: Wait for a Gold Cross (+) on the zero line. This is your primary signal to enter a trade with normal risk.
The "Pyramid" Entry: If the trend continues and you see Blue/Red Diamonds (♦) appear at the edges, these are safe places to add to your position.
The Exit: Since this is a trend-following tool, exit when the histogram color flips (e.g., from Blue to Red/Gray), or use your own support/resistance targets.
Alerts Configuration
The indicator comes with a full suite of alerts for automation:
Gold Buy / Gold Sell: Notifies you only for the high-probability Hidden Divergence setups.
Standard Buy / Standard Sell: Notifies you for every trend pullback.
ANY BUY / ANY SELL: A combo alert that triggers on either signal type (useful for simplifying your alert limits).
Accessibility
Color Blind Friendly: The default palette uses High-Contrast Blue (#2962FF) and Soft Red (#FF5252) instead of standard Green/Red, ensuring visibility for all users.
Zero Clutter: No text labels or confusing lines. Just clear, distinct shapes (Diamonds and Crosses) at fixed locations.
MMM Fear & Greed Meter - Multi-Asset @MaxMaseratiMMM Fear & Greed Meter - Multi-Asset Edition
Professional Sentiment Analysis for Futures, Stocks, and Crypto
The MMM Fear & Greed Meter is an advanced market sentiment indicator that transforms CNN's Fear & Greed methodology into an actionable trading tool. Unlike generic sentiment gauges, this indicator provides specific trading recommendations with position sizing guidance and institutional context - turning vague market mood readings into clear trading decisions.
🎯 Three Optimized Market Modes
FUTURES (ES/NQ) MODE - Default configuration weighted for index futures trading
VIX: 20% (highest weight - volatility drives futures)
Put/Call Ratio: 18% (institutional hedging behavior)
Safe Haven Demand: 18% (risk-on/risk-off capital flows)
Ideal for: ES1!, NQ1! futures traders, London Open preparation, intraday bias
STOCKS (EQUITIES) MODE - Optimized for stock picking and swing trading
52-Week High/Low: 20% (market breadth matters most)
Volume Breadth: 18% (sector rotation and participation)
SPX Momentum: 18% (trend confirmation)
Ideal for: Individual stocks, ETFs, portfolio management
CRYPTO (BTC/ETH) MODE - Calibrated for cryptocurrency's correlation to equity sentiment
Safe Haven: 25% (crypto moves inverse to risk-off)
SPX Momentum: 20% (crypto follows tech/equities)
VIX: 20% (crypto crashes when volatility spikes)
Ideal for: Bitcoin, Ethereum, major altcoins
CUSTOM MODE - Manually adjust all seven component weights to your preference
🔥 What Makes This Unique?
1. ACTIONABLE INTELLIGENCE
Not just a number - get specific recommendations:
"★ PRIORITIZE LONGS @ Key Support - Size up 1.5x"
"FAVOR SHORTS @ Resistance - Watch Distribution"
"TRADE YOUR EDGE - No Sentiment Bias"
2. INSTITUTIONAL FRAMING
Understand WHY the market feels this way:
"Institutions defending levels aggressively"
"Retail chasing, institutions distributing"
"Market stretched and vulnerable - violent turn coming"
3. POSITION SIZING GUIDANCE
Know HOW MUCH to risk:
Extreme zones (0-24, 76-100) + order flow confirmation = 1.5x size
Normal zones = standard position sizing
Neutral zone (45-55) = no sentiment edge, pure price action
4. DIRECTION-BASED COLOR CODING
Green action column = Bullish recommendations
Red action column = Bearish recommendations
Gray action column = No directional bias
5. GRANULAR DISPLAY CONTROLS
Configure exactly what you need:
Show/hide index display section
Show/hide component breakdown
Show/hide live action column
Show/hide decision matrix
27 possible layout combinations
📈 Seven Market Components
Based on CNN Fear & Greed methodology with market-specific weighting:
Market Momentum - S&P 500 vs 125-day moving average
Stock Price Strength - 52-week highs vs lows (NYSE breadth)
Stock Price Breadth - Advancing vs declining volume
Put/Call Options - Options market sentiment (calculated proxy)
Market Volatility (VIX) - CBOE Volatility Index
Safe Haven Demand - Stocks vs bonds 20-day performance
Junk Bond Demand - High yield vs investment grade spread
All components normalized to 0-100 scale, weighted by market relevance, combined into single sentiment index.
🎨 Trading Decision Matrix
EXTREME FEAR (0-24) + Bullish Order Flow @ Support
→ ★ PRIORITIZE LONGS | Size up 1.5x | Strong bounce expected
FEAR (25-44) + Bullish Order Flow @ Support
→ FAVOR LONGS | Normal size | Good reversal context
NEUTRAL (45-55) + Any Setup
→ TRADE YOUR EDGE | Standard approach | No macro bias
GREED (56-75) + Bearish Order Flow @ Resistance
→ FAVOR SHORTS | Watch distribution | Fake breakouts likely
EXTREME GREED (76-100) + Bearish Order Flow @ Resistance
→ ★ AGGRESSIVE SHORTS | Size up 1.5x | Rapid reversals expected
💡 How To Use
Daily Workflow (Recommended):
Check indicator once per morning (pre-session)
Note the sentiment zone and action recommendation
Apply bias filter to your technical setups throughout the day
Size up positions at extremes when order flow confirms
For Futures Traders:
Use bar close mode (default) for stable daily bias
However, try and test live candle option , it might give you early insights
Check before London Open (6:00 AM ET)
Combine with order flow analysis (Body Close, sweeps, institutional levels)
For Stock Traders:
Use for sector rotation decisions
Extreme Fear = buy quality at your edge support level
Extreme Greed = trim positions, raise cash
For Crypto Traders:
Crypto mode captures equity risk sentiment spillover
VIX spikes = crypto dumps (size shorts)
Safe haven demand = BTC correlation tracking
🔧 Technical Details
Data Sources: Universal TradingView symbols (SP:SPX, TVC:VIX, TVC:US10Y, AMEX:HYG, AMEX:LQD, INDEX breadth data with fallback proxies)
Calculation: Seven components normalized over 252-day period, weighted by market mode, combined into 0-100 composite index
Accuracy: 85-90% zone correlation to CNN Fear & Greed Index (zones matter more than exact numbers for trading bias)
Update Frequency: User-controlled - bar close (stable) or live (real-time)
Compatibility: Works on any chart timeframe (recommend daily for bias context)
🎓 Best Practices
DO:
Use as bias filter for your existing strategy
Check once per session for daily context
Size up at extremes with order flow confirmation
Pay attention to ZONES (Extreme Fear/Greed) not exact numbers
Combine with technical analysis and price action
DON'T:
Use as standalone entry/exit signals
Overtrade or force setups when neutral
Ignore price action because sentiment contradicts
Check constantly (designed for daily bias, not tick-by-tick)
Expect exact CNN number match (focus on zones)
🏆 Who Is This For?
Futures Traders - ES/NQ intraday traders needing daily bias context
Stock Traders - Equity swing traders and stock pickers
Crypto Traders - BTC/ETH traders following equity risk sentiment
Position Traders - Anyone wanting institutional sentiment context
Systematic Traders - Adding sentiment filter to mechanical systems
📚 Based On CNN Fear & Greed Methodology
This indicator builds upon CNN Business's proven Fear & Greed Index framework, enhancing it with:
Market-specific component weighting (Futures/Stocks/Crypto)
Actionable trading recommendations with position sizing
Institutional market context and framing
Flexible display options for different trading workflows
Universal data compatibility for all TradingView users
Cody Order Block FinderCody Order Block Finder
Free Telegram Trading Community t.me
Overview
A professional order block detection indicator that identifies institutional supply and demand zones on any timeframe. This tool helps traders spot key reversal areas where institutional orders are likely placed, providing strategic levels for limit order entries.
Key Features
🔍 Smart Order Block Detection
Bullish Order Blocks: Identifies the last bearish candle before consecutive bullish candles
Bearish Order Blocks: Identifies the last bullish candle before consecutive bearish candles
Configurable Sensitivity: Adjust the number of consecutive candles required (1-50 periods)
Minimum Move Filter: Set percentage threshold to filter only significant moves
🎨 Visual Customization
Multiple Color Schemes: Choose from DARK, BRIGHT, or NEON themes
Customizable Display: Show/hide bullish/bearish channels
Line Extension: Extend OB lines to current bar for better visibility
Historical View: Toggle between showing all historical OBs or only the latest ones
📊 Advanced Filtering
OB Size Filter: Set minimum and maximum order block size as percentage of price
ATR Filter: Filter OBs based on Average True Range multiples
OB Strength Indicator: Color-coded OBs based on subsequent price move strength
Wick/Body Selection: Choose to mark OBs using whole candle range or body only
🔔 Alert System
Real-time Alerts: Get notified immediately when new order blocks form
Customizable Messages: Set your own alert messages
Once-per-OB Option: Prevent alert spam with single alert per OB
📈 Display Features
Three-Line Channels: Shows high, low, and average levels for each OB
Visual Shapes: Clear triangle markers above/below candles
Info Panel: Displays latest OB statistics in a clean table format
Data Window Info: View OB levels in TradingView's data window
How to Use
Setup
Add indicator to your chart
Configure periods (default: 5) - higher values = fewer but stronger OBs
Set minimum % move (default: 0%) to filter significant moves
Choose color scheme for your preference
Trading Applications
Limit Order Placement: Place buy limits at bullish OB lows, sell limits at bearish OB highs
Stop Loss Reference: Set stops beyond OB extremes
Reversal Confirmation: Use OBs as confluence with other indicators
Support/Resistance: OB levels often act as future support/resistance
Advanced Tips
Combine with volume profile for higher probability zones
Use on higher timeframes (4H, Daily) for more significant levels
Look for OBs at key Fibonacci levels for added confluence
Monitor price reactions when revisiting OBs
Technical Details
Programming Language: Pine Script v6
Overlay: Yes (draws directly on price chart)
Max Lines: 500 (prevents chart clutter)
Timeframe Compatibility: All timeframes (1min to Monthly)
Market Compatibility: Forex, Stocks, Crypto, Futures
Input Parameters
Basic Settings
Relevant Periods: Number of consecutive candles required (1-50)
Min. Percent move: Minimum % move to validate OB (0.0-100.0)
Color Scheme: DARK, BRIGHT, or NEON color themes
Display Options
Show latest Bullish/Bearish Channel: Toggle channel display
Extend OB lines to right: Extend lines to current bar
Show all historical OBs: Display all OBs or only latest
Use whole range: Use High/Low or Open/Close for OB marking
Advanced Filters
Min/Max OB size (%): Filter by order block size
Use ATR filter: Filter based on volatility
Show OB Strength: Color code by subsequent move strength
Alert Configuration
Create alerts directly from the indicator by clicking "Create Alert" button on chart:
Bullish OB alerts when green triangle appears
Bearish OB alerts when red triangle appears
Includes price and OB level information
Best Practices
Higher Timeframes First: Start on daily/4H to identify major levels
Multiple Confluence: Combine with trend lines, Fibonacci, or moving averages
Patience: Wait for price to return to OB levels for entries
Risk Management: Always use appropriate position sizing and stops
Support & Updates
For updates and support, visit the script page. The indicator is regularly maintained for optimal performance across all markets and timeframes.
Perfect for: Swing traders, position traders, institutional traders, and anyone looking to trade with the "smart money" flow using order flow concepts.
Trading Styles: Works with all styles - scalping, day trading, swing trading, and investing.
Experience Level: Suitable for beginners to advanced traders with clear visual cues and customizable settings.
Institutional Alpha Vector | D_QUANTInstitutional Alpha Vector | D_QUANT
Overview
The Institutional Alpha Vector (IAV) is an enterprise-grade composite trend ecosystem designed to identify high-probability institutional order flow. Unlike standard indicators that rely on a single data point, the IAV synthesizes Price Action, Momentum Physics, Volatility Regimes, and Volume Flow into a single, unified Alpha Vector.
This tool is not merely a signal generator, it is a market regime filter. It visualizes the consensus of four distinct quantitative models through a sophisticated "Electric Conduit" rendering engine, allowing traders to visualize the strength, direction, and volatility of the current trend instantly.
The Quantitative Engine
The IAV constructs its signal by calculating a weighted consensus across four distinct modules. These modules work in synergy to filter out noise and highlight sustained institutional moves.
MODULE 1 :: PRICE_FILTER : A highly responsive Hull Moving Average that serves as the "Spine" of the trend, reducing lag while maintaining smoothness.
MODULE 2 :: VOLATILITY_REGIME : A dynamic envelope that adjusts to market noise. This creates the "Conduit" width—expanding during high-volatility expansion and contracting during consolidation.
MODULE 3 :: MOMENTUM_PHYSICS : A directional movement filter that ensures signals are only generated when trend strength exceeds a specific threshold (default: 20).
MODULE 4 :: INSTITUTIONAL_FLOW : A volume-weighted money flow engine that confirms if price movement is supported by actual volume (Smart Money participation).
The Alpha Vector
The core of this system is the Alpha Vector calculation. The indicator normalizes the outputs of all active modules into a composite score between -1.0 (Strong Bearish Consensus) and +1.0 (Strong Bullish Consensus).
Bullish Entry: When the Alpha Vector crosses above the Long Threshold (Default: 0.1).
Bearish Entry: When the Alpha Vector crosses below the Short Threshold (Default: -0.1).
Neutral/Cash: When the consensus is weak or conflicting, the ribbon turns Grey/Flat, advising the trader to remain on the sidelines.
// ==========================================
// 3. SIGNAL AGGREGATION
// ==========================================
calc_composite_matrix() =>
_hma = calc_hma_series(hma_src, hma_len)
_hma_sig_v = 0
if ta.crossover(close, _hma)
_hma_sig_v := 1
else if ta.crossunder(close, _hma)
_hma_sig_v := -1
_adx_sig_v = calc_adx_state(adx_len, adx_thresh)
_cmf_sig_v = calc_cmf_state(cmf_len)
_rma_sig_v = calc_rma_filter_state(hma_src, lookback, atr_len)
var int s_hma = 0
var int s_adx = 0
var int s_cmf = 0
var int s_rma = 0
if _hma_sig_v != 0
s_hma := _hma_sig_v
if _adx_sig_v != 0
s_adx := _adx_sig_v
if _cmf_sig_v != 0
s_cmf := _cmf_sig_v
if _rma_sig_v != 0
s_rma := _rma_sig_v
= request.security(syminfo.ticker, "D", calc_composite_matrix(), lookahead=barmerge.lookahead_on)
float alpha_score_num = 0.0
int alpha_score_den = 0
if use_hma
alpha_score_num += d_hma
alpha_score_den += 1
if use_adx
alpha_score_num += d_adx
alpha_score_den += 1
if use_cmf
alpha_score_num += d_cmf
alpha_score_den += 1
if use_rma
alpha_score_num += d_rma
alpha_score_den += 1
alpha_vector = alpha_score_den > 0 ? alpha_score_num / alpha_score_den : 0.0
Visual Intelligence: The "Electric Conduit"
The visualization logic uses a Differential Gradient Model to represent market energy:
The Spine (Core): The solid, bright center line represents the immediate trend direction.
The Conduit (Fill): The gradient fill represents the Volatility Regime.
Thick/Wide Ribbon: High Volatility (Expansion Phase).
Thin/Tight Ribbon: Low Volatility (Contraction/Squeeze Phase).
Bar Coloring: Native bar coloring is integrated to instantly align price action with the Alpha Vector, removing the need for mental processing.
Settings
The indicator is fully customizable via a "Compute-Style" configuration menu:
MODULES: Toggle specific engines (HMA, ADX, CMF, RMA) on or off to adapt the Alpha Vector to your specific asset class (Crypto, Forex, or Indices).
THRESHOLDS: Adjust sensitivity for Long/Short entries.
VISUALS: Customize the "Core" and "Edge" colors to match your charting theme.
“Alpha is not about predicting the future. It is about aligning with the mathematical consensus of the present.” — D_QUANT
Stock School IRL & ERLThis indicator is designed to help traders clearly identify liquidity levels on the chart using IRL (Internal Range Liquidity) and ERL (External Range Liquidity).
Liquidity is where the market is attracted.
Price does not move randomly — it moves from one liquidity pool to another.
With this indicator, you can:
• Visually mark IRL (internal liquidity resting inside the range)
• Identify ERL (external liquidity above highs & below lows)
• Understand where Smart Money targets stops
• Anticipate liquidity sweeps, fake breakouts, and reversals
• Improve entries, exits, and trade patience
This tool helps you stop guessing and start reading market intent.
Best used with:
Price Action
Market Structure
Smart Money Concepts (SMC)
Works across:
Stocks • Indices • Forex • Crypto
⚠️ This indicator does not give buy/sell signals.
It provides context, so you trade with logic, not emotions.
If you understand liquidity,
you understand where the market is going next.
Biller Project//@version=6
indicator("Hoon Fib Project", shorttitle ="Hoon Fib", overlay = true, max_bars_back = 5000)
// -----------------------------------------------------------------------------
// ~~ Tooltips & Constants
// -----------------------------------------------------------------------------
var string t1 = "Period: Number of bars used to detect swing highs and swing lows."
var string t2 = "Projection Level: Fibonacci ratio used to calculate the projected future targets."
var string t2_b = "Trend Projection Ratio: The secondary Fibonacci ratio for extensions."
var string t15 = "Fib Volume Profile: Enable volume profile drawn between the last swing high and low."
var string t20 = "Fib Volume Delta: Enable volume delta profile between Fibonacci price bands."
// -----------------------------------------------------------------------------
// ~~ Inputs
// -----------------------------------------------------------------------------
// Group: General Settings
prd = input.int(100, "Period", group = "Fib Settings", tooltip = t1)
lvl = input.float(0.618, "Projection Level", options = , group = "Fib Settings", tooltip = t2)
trendFibbRatio = input.float(1.272, "Trend Projection Ratio", step = 0.001, group = "Fib Settings", tooltip = t2_b)
// Group: Fib Levels Style
fibLvl1 = input.float(0.236, "Level 1", group = "Fib Levels Style", inline = "f1")
fibColor236 = input.color(#f23645, "", group = "Fib Levels Style", inline = "f1")
fibLvl2 = input.float(0.382, "Level 2", group = "Fib Levels Style", inline = "f2")
fibColor382 = input.color(#81c784, "", group = "Fib Levels Style", inline = "f2")
fibLvl3 = input.float(0.500, "Level 3", group = "Fib Levels Style", inline = "f3")
fibColor500 = input.color(#4caf50, "", group = "Fib Levels Style", inline = "f3")
fibLvl4 = input.float(0.618, "Level 4", group = "Fib Levels Style", inline = "f4")
fibColor618 = input.color(#089981, "", group = "Fib Levels Style", inline = "f4")
fibLvl5 = input.float(0.786, "Level 5", group = "Fib Levels Style", inline = "f5")
fibColor786 = input.color(#64b5f6, "", group = "Fib Levels Style", inline = "f5")
// Golden Pocket - FIXED COLOR HERE
showGP = input.bool(true, "Show Golden Pocket (0.65)", group = "Fib Levels Style")
gpColor = input.color(color.new(#FFD700, 85), "GP Color", group = "Fib Levels Style")
fibLineWidth = input.int(2, "Fib Line Width", minval = 1, maxval = 5, group = "Fib Levels Style")
showlab = input.bool(true, "Show Labels", group = "Fib Levels Style", inline = "fiblab")
fibLabelColor = input.color(color.white, "Text Color", group = "Fib Levels Style", inline = "fiblab")
fibLabelSizeStr = input.string("Small", "Size", options = , group = "Fib Levels Style", inline = "fiblab")
fibLabelSize = switch fibLabelSizeStr
"Tiny" => size.tiny
"Small" => size.small
"Large" => size.large
=> size.normal
// Group: Swing High/Low Lines
loLineColor = input.color(color.new(color.green, 0), "Low Line", group = "Swing High/Low Lines Style", inline = "hi")
hiLineColor = input.color(color.new(color.red, 0), "High Line", group = "Swing High/Low Lines Style", inline = "hi")
hiloLineWidth = input.int(2, "Width", 1, 5, group = "Swing High/Low Lines Style", inline = "hi")
// Group: Fib Volume Profile
showFibProfile = input.bool(true, "Show Volume Profile", group = "Fib Volume Profile", tooltip = t15)
rows = input.int(24, "Rows", 2, 100, group = "Fib Volume Profile")
flipOrder = input.bool(false, "Flip Bull/Bear", group = "Fib Volume Profile")
bull_color = input.color(color.new(color.teal, 30), "Bull Vol", group = "Fib Volume Profile", inline = "volColor")
bear_color = input.color(color.new(color.orange, 30), "Bear Vol", group = "Fib Volume Profile", inline = "volColor")
showVolText = input.bool(true, "Show Values", group = "Fib Volume Profile", inline = "vtxt")
// Point of Control (POC)
showPOC = input.bool(true, "Show POC Line", group = "Fib Volume Profile")
pocColor = input.color(color.yellow, "POC Color", group = "Fib Volume Profile")
// Group: Fib Volume Delta
showFibDelta = input.bool(false, "Show Volume Delta", group = "Fib Volume Delta Profile", tooltip = t20)
deltaMaxWidth = input.int(30, "Max Width (Bars)", minval = 5, maxval = 200, group = "Fib Volume Delta Profile")
deltaBullColor = input.color(color.new(color.lime, 80), "Bull Delta", group = "Fib Volume Delta Profile", inline = "dc")
deltaBearColor = input.color(color.new(color.red, 80), "Bear Delta", group = "Fib Volume Delta Profile", inline = "dc")
// Group: Projection Style
projLineBullColor = input.color(color.new(color.green, 0), "Proj Bull", group = "Projection Style", inline = "plc")
projLineBearColor = input.color(color.new(color.red, 0), "Proj Bear", group = "Projection Style", inline = "plc")
projLineWidth = input.int(2, "Width", 1, 5, group = "Projection Style", inline = "plc")
projLineStyleStr = input.string("Arrow Right", "Style", options = , group = "Projection Style")
projLineStyle = switch projLineStyleStr
"Solid" => line.style_solid
"Dashed" => line.style_dashed
"Dotted" => line.style_dotted
=> line.style_arrow_right
// Group: Projection Box
projBoxBgOn = input.bool(true, "Box Bg", group = "Projection Box Style", inline = "pbg")
projBoxBgColor = input.color(color.new(color.blue, 80), "", group = "Projection Box Style", inline = "pbg")
projBoxTextColor = input.color(color.white, "Text", group = "Projection Box Style", inline = "pbg")
// NEW: Biller's Info Box Inputs
showBillerBox = input.bool(true, "Show Biller's Insight", group = "Biller's Insight")
billerPos = input.string("Top Right", "Position", options = , group = "Biller's Insight")
// -----------------------------------------------------------------------------
// ~~ Calculations
// -----------------------------------------------------------------------------
// Swing detection
hi = ta.highest(high, prd)
lo = ta.lowest(low, prd)
isHi = high == hi
isLo = low == lo
HB = ta.barssince(isHi)
LB = ta.barssince(isLo)
hiPrice = ta.valuewhen(isHi, high, 0)
loPrice = ta.valuewhen(isLo, low, 0)
hiBar = ta.valuewhen(isHi, bar_index, 0)
loBar = ta.valuewhen(isLo, bar_index, 0)
// Persistent Drawing Objects
var line hiLine = line.new(na, na, na, na, color = hiLineColor, width = hiloLineWidth)
var line loLine = line.new(na, na, na, na, color = loLineColor, width = hiloLineWidth)
var array fibbLines = array.new_line()
var array fibbLabels = array.new_label()
var array gpBoxes = array.new_box()
var array forecastLines = array.new_line()
var array areas = array.new_box()
var array perc = array.new_label()
var array fibProfileBoxes = array.new_box()
var array pocLines = array.new_line()
var array fibDeltaBoxes = array.new_box()
// Helper Functions
fibbFunc(v, last, h, l) => last ? h - (h - l) * v : l + (h - l) * v
cleaner(a, idx) =>
if idx >= 0 and idx < array.size(a)
el = array.get(a, idx)
if not na(el)
el.delete()
array.remove(a, idx)
// -----------------------------------------------------------------------------
// ~~ Logic Execution
// -----------------------------------------------------------------------------
if not na(HB) and not na(LB) and not na(hiPrice) and not na(loPrice)
// 1. Update Swing High/Low Lines
line.set_xy1(hiLine, hiBar, hiPrice)
line.set_xy2(hiLine, bar_index, hiPrice)
line.set_color(hiLine, hiLineColor)
line.set_xy1(loLine, loBar, loPrice)
line.set_xy2(loLine, bar_index, loPrice)
line.set_color(loLine, loLineColor)
// 2. Clear old drawings
while array.size(fibbLines) > 0
cleaner(fibbLines, 0)
while array.size(fibbLabels) > 0
cleaner(fibbLabels, 0)
while array.size(gpBoxes) > 0
cleaner(gpBoxes, 0)
while array.size(forecastLines) > 0
cleaner(forecastLines, 0)
while array.size(areas) > 0
cleaner(areas, 0)
while array.size(perc) > 0
cleaner(perc, 0)
// 3. Draw Fib Retracements
lvls = array.from(fibLvl1, fibLvl2, fibLvl3, fibLvl4, fibLvl5)
cols = array.from(fibColor236, fibColor382, fibColor500, fibColor618, fibColor786)
baseOffset = HB > LB ? LB : HB
xFibStart = bar_index - baseOffset
// Golden Pocket Logic
if showGP
gp618 = fibbFunc(0.618, HB < LB, hiPrice, loPrice)
gp65 = fibbFunc(0.65, HB < LB, hiPrice, loPrice)
gpBox = box.new(xFibStart, gp618, bar_index + 5, gp65, bgcolor = gpColor, border_color = na)
array.push(gpBoxes, gpBox)
for in lvls
f = fibbFunc(e, HB < LB, hiPrice, loPrice)
ln = line.new(xFibStart, f, bar_index, f, color = cols.get(i), width = fibLineWidth)
array.push(fibbLines, ln)
if showlab
lbl = label.new(bar_index + 1, f, str.tostring(e * 100, "#.##") + "%",
textcolor = fibLabelColor, style = label.style_label_left, size = fibLabelSize, color = cols.get(i))
array.push(fibbLabels, lbl)
// 4. Draw Projections
bars = math.abs(HB - LB)
fibb = fibbFunc(lvl, LB > HB, hiPrice, loPrice)
fibb2 = LB < HB ? fibbFunc(lvl, true, fibb, loPrice) : fibbFunc(lvl, false, hiPrice, fibb)
trendfibb = LB > HB ? fibbFunc(trendFibbRatio, true, hiPrice, loPrice) : fibbFunc(trendFibbRatio, false, hiPrice, loPrice)
forecast = array.from(HB < LB ? hiPrice : loPrice, fibb, fibb2, trendfibb)
segment = math.min(bars, math.floor(500.0 / 4.0))
future = bar_index
for i = 0 to forecast.size() - 2
y1 = forecast.get(i)
y2 = forecast.get(i + 1)
x2 = math.min(future + segment, bar_index + 500)
// Draw Projection Line
lnForecast = line.new(future, y1, x2, y2, color = y1 < y2 ? projLineBullColor : projLineBearColor, width = projLineWidth, style = projLineStyle)
array.push(forecastLines, lnForecast)
// Draw Target Box
midBoxLeft = x2 - math.round((future - x2) / 4.0)
txtLevel = i == forecast.size() - 2 ? str.tostring(trendFibbRatio, "#.###") : str.tostring(lvl * 100, "#.##")
boxHeight = math.abs(y1 - y2) / 10.0
bx = box.new(midBoxLeft, y2 + boxHeight, x2 + math.round((future - x2) / 4.0), y2 - boxHeight,
bgcolor = projBoxBgOn ? projBoxBgColor : na, border_width = 1,
text = txtLevel, text_color = projBoxTextColor)
array.push(areas, bx)
future += segment
// 5. Volume Profile Logic
if showFibProfile and hiBar != loBar
while array.size(fibProfileBoxes) > 0
cleaner(fibProfileBoxes, 0)
while array.size(pocLines) > 0
cleaner(pocLines, 0)
top = math.max(hiPrice, loPrice)
bottom = math.min(hiPrice, loPrice)
step = (top - bottom) / rows
// Define bins
volUp = array.new_float(rows, 0.0)
volDn = array.new_float(rows, 0.0)
startBar = math.min(hiBar, loBar)
endBar = math.max(hiBar, loBar)
for bi = startBar to endBar
offset = bar_index - bi
if offset < 4999
p = hlc3
v = nz(volume )
isBull = close > open
// Find correct bin
if p >= bottom and p <= top
idx = int((p - bottom) / step)
idx := math.min(idx, rows - 1)
if isBull
array.set(volUp, idx, array.get(volUp, idx) + v)
else
array.set(volDn, idx, array.get(volDn, idx) + v)
// Draw Volume Boxes and Calc POC
maxTot = 0.0
maxTotIdx = 0 // Track index of max volume
for i = 0 to rows - 1
tot = array.get(volUp, i) + array.get(volDn, i)
if tot > maxTot
maxTot := tot
maxTotIdx := i
span = endBar - startBar + 1
blendTxtColor = color.new(color.white, 30)
minWidthForText = 2
if maxTot > 0
for r = 0 to rows - 1
upV = array.get(volUp, r)
dnV = array.get(volDn, r)
if upV + dnV > 0
normUp = int((upV / maxTot) * span)
normDn = int((dnV / maxTot) * span)
yTop = bottom + step * (r + 1)
yBot = bottom + step * r
// Draw Bull Box
if normUp > 0
txtBull = (showVolText and normUp > minWidthForText) ? str.tostring(upV, format.volume) : ""
bxBull = box.new(startBar + (flipOrder ? 0 : normDn), yTop, startBar + (flipOrder ? normUp : normUp + normDn), yBot,
bgcolor = bull_color, border_style = line.style_dotted, border_color = color.new(bull_color, 50),
text = txtBull, text_color = blendTxtColor, text_size = size.tiny, text_halign = text.align_center, text_valign = text.align_center)
array.push(fibProfileBoxes, bxBull)
// Draw Bear Box
if normDn > 0
txtBear = (showVolText and normDn > minWidthForText) ? str.tostring(dnV, format.volume) : ""
bxBear = box.new(startBar + (flipOrder ? normUp : 0), yTop, startBar + (flipOrder ? normUp + normDn : normDn), yBot,
bgcolor = bear_color, border_style = line.style_dotted, border_color = color.new(bear_color, 50),
text = txtBear, text_color = blendTxtColor, text_size = size.tiny, text_halign = text.align_center, text_valign = text.align_center)
array.push(fibProfileBoxes, bxBear)
// Draw POC Line
if showPOC
pocY = bottom + step * (maxTotIdx + 0.5) // Midpoint of max bin
pocLn = line.new(startBar, pocY, bar_index + 10, pocY, color = pocColor, width = 2, style = line.style_solid)
array.push(pocLines, pocLn)
// 6. Volume Delta Logic
if showFibDelta and hiBar != loBar
while array.size(fibDeltaBoxes) > 0
cleaner(fibDeltaBoxes, 0)
fibPrices = array.new_float()
array.push(fibPrices, hiPrice)
array.push(fibPrices, loPrice)
for e in lvls
array.push(fibPrices, fibbFunc(e, HB < LB, hiPrice, loPrice))
array.sort(fibPrices)
bandsCount = array.size(fibPrices) - 1
bandBull = array.new_float(bandsCount, 0.0)
bandBear = array.new_float(bandsCount, 0.0)
startBar = math.min(hiBar, loBar)
endBar = math.max(hiBar, loBar)
for bi = startBar to endBar
offset = bar_index - bi
if offset < 4999
p = hlc3
v = nz(volume )
isBull = close > open
for b = 0 to bandsCount - 1
bLow = array.get(fibPrices, b)
bHigh = array.get(fibPrices, b + 1)
if p >= bLow and p < bHigh
if isBull
array.set(bandBull, b, array.get(bandBull, b) + v)
else
array.set(bandBear, b, array.get(bandBear, b) + v)
break
maxAbsDelta = 0.0
for b = 0 to bandsCount - 1
maxAbsDelta := math.max(maxAbsDelta, math.abs(array.get(bandBull, b) - array.get(bandBear, b)))
if maxAbsDelta > 0
for b = 0 to bandsCount - 1
delta = array.get(bandBull, b) - array.get(bandBear, b)
if delta != 0
widthBars = int((math.abs(delta) / maxAbsDelta) * deltaMaxWidth)
widthBars := math.max(widthBars, 1)
col = delta >= 0 ? deltaBullColor : deltaBearColor
dBox = box.new(startBar - widthBars, array.get(fibPrices, b+1), startBar, array.get(fibPrices, b),
bgcolor = col, border_color = na,
text = "Δ " + str.tostring(delta, format.volume), text_color = color.new(color.white, 20), text_size = size.small)
array.push(fibDeltaBoxes, dBox)
// -----------------------------------------------------------------------------
// ~~ Biller's Info Box Logic
// -----------------------------------------------------------------------------
var table infoTable = table.new(
position = billerPos == "Top Right" ? position.top_right : billerPos == "Bottom Right" ? position.bottom_right : billerPos == "Bottom Left" ? position.bottom_left : position.top_left,
columns = 1,
rows = 3,
bgcolor = color.new(color.black, 40),
border_width = 1,
border_color = color.new(color.white, 80)
)
if showBillerBox and barstate.islast
// Determine Bias: If the last Pivot was a LOW (LB < HB), market is technically trending UP from that low.
bool isBullish = LB < HB
string biasTitle = isBullish ? "🐂 BULLISH BIAS" : "🐻 BEARISH BIAS"
color biasColor = isBullish ? color.new(color.green, 20) : color.new(color.red, 20)
string biasMsg = isBullish ? "Don't look for shorts, Biller!" : "Don't look for longs, Biller!"
// Array of Quotes
string quotes = array.from(
"Biller, you're not gonna pass ur eval looking at the chart all day.",
"Fuck it, go in. I believe in u.",
"Trust JD's Signals.",
"Scared money makes no money, Biller.",
"Evaluation is just a mindset.",
"JD is watching... don't fumble.",
"Are you really gonna take that trade?",
"Wait for the setup, Biller.",
"Don't be a liquidity exit, Biller."
)
int quoteIdx = bar_index % array.size(quotes)
string currentQuote = array.get(quotes, quoteIdx)
// Row 1: Bias Header
table.cell(infoTable, 0, 0, biasTitle, bgcolor = biasColor, text_color = color.white, text_size = size.normal)
// Row 2: Instruction
table.cell(infoTable, 0, 1, biasMsg, text_color = color.white, text_size = size.small)
// Row 3: Motivation/Quote
table.cell(infoTable, 0, 2, "\"" + currentQuote + "\"", text_color = color.yellow, text_size = size.small, text_halign = text.align_center)
deKoder | Whale Prints [WP]deKoder | Whale Prints | Large Trade Orderflow Detection
This open-source indicator is a clean, precision tool for revealing hidden large-volume activity directly on your chart. By scanning ultra-low timeframes while you view higher ones, it projects statistically significant volume spikes as intuitive markers giving you a clear window into institutional orderflow without visually overwhelming the price action.
Key Features & Strengths
True Intra-Bar Detection | Monitors lower timeframes down to 1-second bars, catching aggressive block trades and absorption that occur within a single higher-TF candle.
Accurate Trade Levels | Markers are placed at the actual hl2 price of the aggressive lower-TF bar, providing a far more accurate estimate of where the large trade executed than typical mid-candle approximations.
Multiple Trades Per Bar | If several significant volume spikes occur inside one higher-TF candle, all qualifying levels are displayed individually – offering greater granularity and context.
Adaptive Thresholding | Uses higher-TF volume standard deviation (stable baseline) intelligently scaled to the lower timeframe, reducing noise in quiet markets while remaining sensitive to genuine outliers.
Clean Visual Hierarchy | Three tiers (Small 🞉 / Medium ⏣ / Large 🞊) with dynamic symbol size, line thickness, transparency, and user-definable bullish/bearish coloring based on LTF candle direction.
How to Use It as an Orderflow Tool
Large volume spikes often mark the footprints of institutional players. This indicator helps you read those footprints in real time.
Small (🞉) | Moderate excess volume: early interest, probing, or building positions.
Medium (⏣) | Strong spike: increasing conviction, potential momentum shift.
Large (🞊) | Extreme outlier: frequently climactic volume signalling exhaustion or major absorption.
Why Price Often Reverses at These Levels
Large players frequently place limit orders in areas rich with liquidity – commonly just beyond recent highs/lows where retail stop-losses cluster. When price sweeps those zones:
Stop hunts trigger a cascade of forced exits, creating liquidity for larger participants to fill their limit orders.
Breakout traders who entered on the move are trapped offside and become forced buyers/sellers when price reverses.
Institutions use this liquidity to execute large orders at favorable prices with minimal immediate market impact.
The result is aggressive volume at the extreme, followed by reversal as smart money finishes filling and price returns toward fair value. Clusters of medium/large markers at swing points are classic signs of this dynamic.
Practical Analysis Tips
Reversals/Absorption | Clusters of large markers at swing highs/lows (especially opposing-color spikes) signal potential turns – buyers or sellers stepping in aggressively.
Level Defense | Trades piling up at key support/resistance suggest institutions protecting or building positions.
Trapped Traders | Large spikes beyond range pivots followed by reversal back into the range often highlight trapped breakout traders who add fuel to a move when they are forced to liquidate their positions.
Use Offset (-3 to +3) to shift markers away from current price for clearer viewing.
Pro tip: Zoom into the lower TF occasionally to see how these projected levels align exactly with aggressive candles.
Recommended Pairings
This is designed as a pure orderflow overlay to be layered with your existing setup:
Support & Resistance (horizontals, pivots, Volume Profile POC/VAH/VAL)
Market Structure tools (swing points, order blocks, fair value gaps)
Trend filters (EMAs, SuperTrend, higher-TF bias)
Momentum oscillators for timing confluence
Best Suited For
Scalping & day trading (1–15 min charts with 5–30S lower TF)
Swing trading entries (1H–4H charts with 1–5 min lower TF)
High-liquidity markets: crypto perpetuals, forex majors, volatile stocks
Add this indicator to start seeing the hidden aggression driving price and expose the hidden edges beyond the noise.
☠ FR33FA11 | deKoder ☠
Released January 2025 | Open Source
Mod_capital_trend kanal⚙️ How It Works
1️⃣ Trend Detection
The trend is identified using a Simple Moving Average (SMA) combined with ATR volatility filtering:
Uptrend: Price breaks above SMA + ATR
Downtrend: Price breaks below SMA − ATR
This method avoids false signals and only reacts to strong directional moves.
2️⃣ Dynamic Channel Construction
Once a trend is confirmed, the indicator builds a three-line channel:
Middle Line: Mean price (HL2 smoothed)
Upper Channel: Middle line + (ATR × Channel Width)
Lower Channel: Middle line − (ATR × Channel Width)
The channel automatically expands and contracts based on market volatility.
3️⃣ Smart Trend Switching
When the trend changes:
The previous channel is frozen
A new channel is created in the new direction
Old trend lines are visually de-emphasized (dashed & faded)
This keeps the chart clean and readable, even during market transitions.
4️⃣ Future Price Projection
The indicator calculates the slope of the active trend channel and projects a future price level:
Displays a projected price label at a user-defined future index
Helps visualize trend continuation potential
Useful for planning entries, exits, and targets
🎨 Visual Logic
Green Channel: Bullish trend
Orange Channel: Bearish trend
Solid Lines: Active trend
Dashed Lines: Inactive / previous trend
Automatic Channel Fill: Highlights the price range
All visuals follow a minimal, professional Mod_Capital style.
🧠 Best Use Cases
Trend-following strategies
Dynamic support & resistance
Pullback and continuation trading
Breakout confirmation
Market structure visualization
Manual and discretionary trading
🔧 Customizable Inputs
Trend detection length
Channel width (volatility multiplier)
Future price projection distance
Uptrend & downtrend colors
Works on all markets and timeframes.
✅ Key Advantages
No repainting after trend confirmation
Volatility-adaptive channels
Clean and professional chart design
No unnecessary indicators or signals
Built for serious traders
PSP (Precision Swing Point - CIC SMT)PSP SMT – Correlation Stages Indicator
The PSP SMT – Correlation Stages indicator is designed to identify Smart Money divergences (SMT) between correlated markets through a progressive, stage-based model.
It visually classifies price behavior into correlation stages, helping traders detect early imbalance, confirmation, and distribution phases used by institutional participants.
By comparing a primary asset with a correlated symbol, the indicator highlights loss of correlation, displacement, and confirmation signals, offering a structured framework to anticipate potential reversals or continuations within ICT-based market models.
Ideal for traders who apply ICT concepts, intermarket analysis, and liquidity-based strategies, the PSP SMT enhances timing, context, and confidence in decision-making.
Intervalo de la confianzaIntervalo de la confianza de varias temporaliades usando VWMA.
-Medir el FOMO y el FUD
aslanogluI am pleased to present you with my buy/sell strategy that you can use in all periods.
I would be pleased to discuss your experiences
Breakeven LECAPs BONCAPsEN
Breakeven LECAPs & BONCAPs (ARS → USD) + Futures Curve
This indicator plots the breakeven USD/ARS exchange rate for Argentine fixed-rate Treasury instruments LECAPs (S tickers) and BONCAPs (T tickers), showing the USD/ARS level at each maturity where holding the peso instrument would match the performance of holding dollars.
What you get
• Breakeven labels at (Maturity Date, Breakeven Dollar)
• Automatic FX benchmarks:
• Dólar MEP: BCBA:AL30 / BCBA:AL30D
• Dólar Cable (CCL): BCBA:AL30 / BCBA:AL30C
• Optional Custom Dollar input (1000–10000 ARS)
• Optional MatbaRofex USD futures labels at their expiry dates
• Optional polynomial regression curves for LECAPs, BONCAPs, and Futures (degree 1–4), with independent toggles, colors, and smoothness points
Core calculations
• Direct Return = (Maturity Price / Last Price) - 1
• TNA (Annualized Rate) = Direct Return × 365 / Days to Maturity
• Breakeven Dollar = Current Dollar × (1 + Direct Return)
Tooltip (hover labels)
Ticker/type, maturity date, days to maturity, current price, maturity price (px_finish), direct return, TNA, and breakeven value.
⸻
ES
Breakeven LECAPs & BONCAPs (ARS → USD) + Curva de Futuros
Este indicador grafica el tipo de cambio USD/ARS de equilibrio (breakeven) para instrumentos de tasa fija del Tesoro argentino LECAPs (tickers S) y BONCAPs (tickers T). Te muestra a qué nivel de dólar, en cada vencimiento, una inversión en pesos igualaría el rendimiento de quedarse en dólares.
Qué muestra
• Etiquetas de breakeven en (Fecha de vencimiento, Dólar breakeven)
• Referencias automáticas de tipo de cambio:
• Dólar MEP: BCBA:AL30 / BCBA:AL30D
• Dólar Cable (CCL): BCBA:AL30 / BCBA:AL30C
• Opción de Dólar Custom (1000–10000 ARS)
• Opción de mostrar futuros de USD MatbaRofex en sus vencimientos
• Curvas de regresión polinómica opcionales para LECAPs, BONCAPs y Futuros (grado 1–4), con toggle, color y suavizado configurables por separado
Cálculos principales
• Retorno Directo = (Precio de vencimiento / Último precio) - 1
• TNA = Retorno Directo × 365 / Días al vencimiento
• Dólar Breakeven = Dólar actual × (1 + Retorno Directo)
Tooltip (pasar el mouse por las etiquetas)
Ticker/tipo, fecha de vencimiento, días restantes, precio actual, precio de vencimiento (px_finish), retorno directo, TNA y valor de breakeven.
==================== DISCLAIMER / AVISO LEGAL ====================
This indicator is for informational and educational purposes only.
Eco Valores S.A. does NOT provide investment advice or recommendations.
Consult a qualified financial advisor before making investment decisions.
Este indicador es solo para fines informativos y educativos.
Eco Valores S.A. NO brinda asesoramiento ni recomendaciones de inversion.
Consulte con un asesor financiero calificado antes de invertir.
===================================================================
ADR/ATR/EMA % FILTERADR%
ATR%
Daily EMA 5 % Distance
Daily EMA 10% Distance
2 Hour EMA 20% Distance
20-Day price control
20-Week price control
XU100 Index 5/20 control on 4-hour
