Dynamic Swing Anchored VWAP (Zeiierman) with alert functionoriginal script by the author, added alert function only
Indicateurs et stratégies
Trend Vector Pro v2.0Title: Trend Vector Pro v2.0
👨💻 Developed by: Mohammed Bedaiwi
💡 Strategy Overview & Coherence
Trend Vector Pro (TVPro) is a momentum-based trend & reversal strategy that uses a custom smoothed oscillator, an optional ADX filter, and classic Pivot Points to create a single, coherent trading framework.
Instead of stacking random indicators, TVPro is built around these integrated components:
A custom momentum engine (signal generation)
An optional ADX filter (trend quality control)
Daily Pivot Points (context, targets & S/R)
Swing-based “Golden Bar” trailing stops (trade management)
Optional extended bar detection (overextension alerts)
All parts are designed to work together and are documented below to address originality & usefulness requirements.
🔍 Core Components & Justification
1. Custom Momentum Engine (Main Signal Source)
TVPro’s engine is a custom oscillator derived from the bar midpoint ( hl2 ), similar in spirit to the Awesome Oscillator but adapted and fully integrated into the strategy. It measures velocity and acceleration of price, letting the script distinguish between strong impulses, weakening trends, and pure noise.
2. ADX Filter (Trend Strength Validation – Optional)
Uses Average Directional Index (ADX) as a gatekeeper.
Why this matters: This prevents the strategy from firing signals in choppy, non-trending environments (when ADX is below the threshold) and keeps trades focused on periods of clear directional strength.
3. Classic Pivot Points (Context & Targets)
Calculates Daily Pivot Points ( PP, R1-R3, S1-S3 ) via request.security() using prior session data.
Why this matters: Momentum gives the signal, ADX validates the environment, and Pivots add external structure for risk and target planning. This is a designed interaction, not a random mashup.
🧭 Trend State Logic (5-State Bar Coloring)
The strategy uses the momentum's value + slope to define five states, turning the chart into a visual momentum map:
🟢 STRONG BULL (Bright Green): Momentum accelerating UP. → Strong upside impulse.
🌲 WEAK BULL (Dark Green): Momentum decelerating DOWN (while positive). → Pullback/pause zone.
🔴 STRONG BEAR (Bright Red): Momentum accelerating DOWN. → Strong downside impulse.
🍷 WEAK BEAR (Dark Red): Momentum decelerating UP (while negative). → Rally/short-covering zone.
🔵 NEUTRAL / CHOP (Cyan): Momentum is near zero (based on noise threshold). → Consolidation / low volatility.
🎯 Signal Logic Modes
TVPro provides two selectable entry styles, controlled by input:
Reversals Only (Cleaner Mode – Default): Targets trend flips. Entry triggers when the current state is Bullish (or Bearish) and the previous state was not. This reduces noise and over-trading.
All Strong Pulses (Aggressive Mode): Targets acceleration phases. Entry triggers when the bar turns to STRONG BULL or STRONG BEAR after any other state. This mode produces more trades.
📌 Risk Management Tools
Golden Bars – Trailing Stops: Yellow “Trail” Arrows mark confirmed Swing Highs/Lows. These are used as logical trailing stop levels based on market structure.
Extended Bars: Detects when price closes outside a 2-standard-deviation channel, flagging overextension where a pullback is more likely.
Pivot Points: Used as external targets for Take Profit and structural stop placement.
⚙️ Strategy Defaults (Crucial for Publication Compliance)
To keep backtest results realistic and in line with House Rules, TVPro is published with the following fixed default settings:
Order Size: 5% of equity per trade ( default_qty_value = 5 )
Commission: 0.04% per order ( commission_value = 0.04 )
Slippage: 2 ticks ( slippage = 2 )
Initial Capital: 10,000
📘 How to Trade with Trend Vector Pro
Entry: Take Long when a Long signal appears and confirm the bar is Green (Bull state). Short for Red (Bear state).
Stop Loss: Place the initial SL near the latest swing High/Low, or near a relevant Pivot level.
Trade Management: Follow Golden (Trail) Arrows to trail your stop behind structure.
Exits: Exit when: the trailing stop is hit, Price reaches a major Pivot level, or an opposite signal prints.
🛑 Disclaimer
This script is for educational purposes only and does not constitute financial advice. Past performance does not guarantee future results. Always forward-test and use proper risk management before applying any strategy to live trading.
Elliott Wave Full Fractal System v2.0Elliott Wave Full Fractal System v2.0 – Q.C. FINAL (Guaranteed R/R)
Elliott Wave Full Fractal System is a multi-timeframe wave engine that automatically labels Elliott impulses and ABC corrections, then builds a rule-based, ATR-driven risk/reward framework around the “W3–W4–W5” leg.
“Guaranteed R/R” here means every order is placed with a predefined stop-loss and take-profit that respect a minimum Reward:Risk ratio – it does not mean guaranteed profits.
Core Idea
This strategy turns a full fractal Elliott Wave labelling engine into a systematic trading model.
It scans fractal pivots on three wave degrees (Primary, Intermediate, Minor) to detect 5-wave impulses and ABC corrections.
A separate “Trading Degree” pivot stream, filtered by a 200-EMA trend filter and ATR-based dynamic pivots, is then used to find W4 pullback entries with a minimum, user-defined Reward:Risk ratio.
Default Properties & Risk Assumptions
The backtest uses realistic but conservative defaults:
// Default properties used for backtesting
strategy(
"Elliott Wave Full Fractal System - Q.C. FINAL (Guaranteed R/R)",
overlay = true,
initial_capital = 10000, // realistic account size
default_qty_type = strategy.percent_of_equity,
default_qty_value = 1, // 1% risk per trade
commission_type = strategy.commission.cash_per_contract,
commission_value = 0.005, // example stock commission
slippage = 0 // see notes below
)
Account size: 10,000 (can be changed to match your own account).
Position sizing: 1% of equity per trade to keep risk per idea sustainable and aligned with TradingView’s recommendations.
Commission: 0.005 cash per contract/share as a realistic example for stock trading.
Slippage: set to 0 in code for clarity of “pure logic” backtesting. Real-life trading will experience slippage, so users should adjust this according to their market and broker.
Always re-run the backtest after changing any of these values, and avoid using high risk fractions (5–10%+) as that is rarely sustainable.
1. Full Fractal Wave Engine
The script builds and maintains four pivot streams using ATR-adaptive fractals:
Primary Degree (Macro Trend):
Captures the large swings that define the major trend. Labels ①–⑤ and ⒶⒷⒸ using blue “Circle” labels and thicker lines.
Intermediate Degree (Trading Degree):
Captures the medium swings (swing-trading horizon). Uses teal labels ( (1)…(5), (A)(B)(C) ).
Minor Degree (Micro Structure):
Tracks short-term swings inside the larger waves. Uses red roman numerals (i…v, a b c).
ABC Corrections (Optional):
When enabled, the engine tries to detect standard A–B–C corrective structures that follow a completed 5-wave impulse and plots them with dashed lines.
Each degree uses a dynamic pivot lookback that expands when ATR is above its EMA, so the system naturally requires “stronger” pivots in volatile environments and reacts faster in quiet conditions.
2. Theory Rules & Strict Mode
Normal Mode: More permissive detection. Designed to show more wave structures for educational / exploratory use.
Strict Mode: Enforces key Elliott constraints:
Wave 3 not shorter than waves 1 and 5.
No invalid W4 overlap with W1 (for standard impulses).
ABC Logic: After a confirmed bullish impulse, the script expects a down-up-down corrective pattern (A,B,C). After a bearish impulse, it looks for up-down-up.
3. Trend Filter & Pivots
EMA Trend Filter: A configurable EMA (default 200) is used as a non-wave trend filter.
Price above EMA → Only long setups are considered.
Price below EMA → Only short setups are considered.
ATR-Adaptive Pivots: The pivot engine scales its left/right bars based on current ATR vs ATR EMA, making waves and trading pivots more robust in volatile regimes.
4. Dynamic Risk Management (Guaranteed R/R Engine)
The trading engine is designed around risk, not just pattern recognition:
ATR-Based Stop:
Stop-loss is placed at:
Entry ± ATR × Multiplier (user-configurable, default 2.0).
This anchors risk to current volatility.
Minimum Reward:Risk Ratio:
For each setup, the script:
Computes the distance from entry to stop (risk).
Projects a take-profit target at risk × min_rr_ratio away from entry.
Only accepts the setup if risk is positive and the required R:R ratio is achievable.
Result: Every order is created with both TP and SL at a predefined distance, so each trade starts with a known, minimum Reward:Risk profile by design.
“Guaranteed R/R” refers exclusively to this order placement logic (TP/SL geometry), not to win-rate or profitability.
5. Trading Logic – W3–W4–W5 Pattern
The Trading pivot stream (separate from visual wave degrees) looks for a simple but powerful pattern:
Bullish structure:
Sequence of pivots forms a higher-high / higher-low pattern.
Price is above the EMA trend filter.
A strong “W3” leg is confirmed with structure rules (optionally stricter in Strict mode).
Entry (Long – W4 Pullback):
The “height” of W3 is measured.
Entry is placed at a configurable Fibonacci pullback (default 50%) inside that leg.
ATR-based stop is placed below entry.
Take-profit is projected to satisfy min Reward:Risk.
Bearish structure:
Mirrored logic (lower highs/lows, price below EMA, W3 down, W4 retrace up, W5 continuation down).
Once a valid setup is found, the script draws a colored box around the entry zone and a label describing the type of signal (“LONG SETUP” or “SHORT SETUP”) with the suggested limit price.
6. Orders & Execution
Entry Orders: The strategy uses limit orders at the computed W4 level (“Sniper Long” or “Sniper Short”).
Exits: A single strategy.exit() is attached to each entry with:
Take-profit at the projected minimum R:R target.
Stop-loss at ATR-based level.
One Trade at a Time: New setups are only used when there is no open position (strategy.opentrades == 0) to keep the logic clear and risk contained.
7. Visual Guide on the Chart
Wave Labels:
Primary: ①,②,③,④,⑤, ⒶⒷⒸ
Intermediate: (1)…(5), (A)(B)(C)
Minor: i…v, a b c
Trend EMA: Single blue EMA showing the dominant trend.
Setup Boxes:
Green transparent box → long entry zone.
Red transparent box → short entry zone.
Labels: “LONG SETUP / SHORT SETUP” labels mark the proposed limit entry with price.
8. How to Use This Strategy
Attach the strategy to your chart
Choose your market (stocks, indices, FX, crypto, futures, etc.) and timeframe (for example 1h, 4h, or Daily). Then add the strategy to the chart from your Scripts list.
Start with the default settings
Leave all inputs on their defaults first. This lets you see the “intended” behaviour and the exact properties used for the published backtest (account size, 1% risk, commission, etc.).
Study the wave map
Zoom in and out and look at the three wave degrees:
Blue circles → Primary degree (big picture trend).
Teal (1)…(5) → Intermediate degree (swing structure).
Red i…v → Minor degree (micro waves).
Use this to understand how the engine is interpreting the Elliott structure on your symbol.
Watch for valid setups
Look for the coloured boxes and labels:
Green box + “LONG SETUP” label → potential W4 pullback long in an uptrend.
Red box + “SHORT SETUP” label → potential W4 pullback short in a downtrend.
Only trades in the direction of the EMA trend filter are allowed by the strategy.
Check the Reward:Risk of each idea
For each setup, inspect:
Limit entry price.
ATR-based stop level.
Projected take-profit level.
Make sure the minimum Reward:Risk ratio matches your own rules before you consider trading it.
Backtest and evaluate
Open the Strategy Tester:
Verify you have a decent sample size (ideally 100+ trades).
Check drawdowns, average trade, win-rate and R:R distribution.
Change markets and timeframes to see where the logic behaves best.
Adapt to your own risk profile
If you plan to use it live:
Set Initial Capital to your real account size.
Adjust default_qty_value to a risk level you are comfortable with (often 0.5–2% per trade).
Set commission and slippage to realistic broker values.
Re-run the backtest after every major change.
Use as a framework, not a signal machine
Treat this as a structured Elliott/R:R framework:
Filter signals by higher-timeframe trend, major S/R, volume, or fundamentals.
Optionally hide some wave degrees or ABC labels if you want a cleaner chart.
Combine the system’s structure with your own trade management and discretion.
Best Practices & Limitations
This is an approximate Elliott Wave engine based on fractal pivots. It does not replace a full discretionary Elliott analysis.
All wave counts are algorithmic and can differ from a manual analyst’s interpretation.
Like any backtest, results depend heavily on:
Symbol and timeframe.
Sample size (more trades are better).
Realistic commission/slippage settings.
The 0-slippage default is chosen only to show the “raw logic”. In real markets, slippage can significantly impact performance.
No strategy wins all the time. Losing streaks and drawdowns will still occur even with a strict R:R framework.
Disclaimer
This script is for educational and research purposes only and does not constitute financial advice or a recommendation to buy or sell any security. Past performance, whether real or simulated, is not indicative of future results. Always test on multiple symbols/timeframes, use conservative risk, and consult your financial advisor before trading live capital.
TedAlpha – Structure / FVG / OB Sessions:
Only looks for trades when price is inside your defined London or NY time blocks.
CHOCH:
Uses pivots to track swing highs/lows, then flags a bullish CHOCH when structure flips from LL/LH to HH/HL, and vice versa for bearish.
FVG:
Detects 3-candle imbalance and keeps the zone “active” for fvgLookback bars, then checks if price trades back into it.
Order Blocks:
On a CHOCH, grabs the last opposite candle (bearish before bull CHOCH = bullish OB, bullish before bear CHOCH = bearish OB) and marks its body as the OB zone.
Signal:
A valid long = bull CHOCH + in session + (price inside bullish FVG and/or bullish OB, depending on toggles).
Short is the mirror image.
RR 1:3:
SL uses the last swing low (for longs) or last swing high (for shorts), TP is auto-set at 3× that distance and plotted as lines.
RSI Swing Indicator (Win-Rate + Forecast Line + Range Row)What the script does:
It’s essentially an enhanced RSI tool that doesn’t just show the raw RSI line. Instead, it adds forecasting, trade statistics, and range detection so you can see how reliable RSI signals have been historically and what they might mean going forward.
The main components
RSI Calculation
- Uses your chosen source (close, hl2, etc.) and length (default 7).
- Plots the RSI line (orange).
Forecasting
- Projects RSI into the future using slope extrapolation.
- Plots a forecast line (blue) and shows whether RSI is likely to become overbought, oversold, or stay neutral.
Trade Statistics
- Tracks how many long and short trades would have been profitable based on RSI bias.
- Calculates Win‑Rate (percentage of profitable trades) and Average Return (average gain/loss per trade).
- This gives you a statistical edge: are longs or shorts historically working better?
Bias & Conflict Detection
- Defines current bias (Bullish, Bearish, Neutral).
- Flags Conflict when the forecast disagrees with the current bias (e.g., RSI bullish now but forecast bearish).
- Helps you avoid trading against weakening momentum.
Range Detection
- Checks if RSI slope is flat and values are between mid‑bounds (40–60).
- Calculates Range Probability (how often range conditions occur).
- Adds a Range row to the table so you know when the market is likely sideways instead of trending.
Table Display
- Summarizes everything in a neat table: Forecast, Win‑Rates, Avg Returns, Prob Bias, Conflict, Range Prob, and Range status.
- Color‑coded so you can instantly see what’s favorable (green), risky (red), or neutral (yellow/orange).
How to use it
- Trend trading: Look for Profitable Bias with forecast alignment.
- Range trading: When both win‑rates are weak and Range row says Range Likely, fade extremes (buy low RSI, sell high RSI).
- Risk management: Avoid trades when Conflict is flagged.
- Forecasting: Use the projected RSI to anticipate overbought/oversold zones before they happen.
In short:
The script is like a “smart RSI dashboard”. It takes the basic RSI, adds forecasting, tracks how well past trades worked, and tells you whether the market is trending or ranging. This way, you’re not just reacting to RSI — you’re trading with context, probabilities, and forward‑looking signals.
5MA＋TrendMagic + Disparity + Volume Spikes5MA + TrendMagic + Disparity Scalping + Volume Spikes is an all-in-one trend and momentum indicator designed for fast entries, trend confirmation, and volatility detection.
Main Features
Multiple EMAs (9/21/50/100/200) for trend structure
TrendMagic for dynamic trend direction and stop levels
Ultra Fast Disparity Scalper (EMA disparity + RSI + RVI momentum)
Volume Spike Detection with smart filters (valid highs/lows, candle types, color match, session filter)
Gold Volatility Signals using ATR, Bollinger Bands, HV/RV spread
Clear BUY/SELL markers, overheat filters, and full alert support
This tool helps identify early reversals, confirm major trends, and highlight strong volume-driven turning points.
Dynamic Trend Channel - Adaptive Support & Resistance SystemA powerful trend-following indicator that adapts to market conditions in real-time. The Dynamic Trend Channel uses ATR-based volatility measurements to create intelligent support and resistance zones that adjust automatically to price action.
Key Features:
✓ Adaptive channel width based on market volatility (ATR)
✓ Color-coded trend identification (Green = Bullish, Red = Bearish)
✓ Smooth, flowing bands that reduce noise
✓ Breakout signals for high-probability entries
✓ Real-time info table showing trend status and price positioning
✓ Customizable settings for all timeframes
Unmitigated MTF High Low - Cave Diving Plot
IntroductionThe Unmitigated MTF High Low -
Cave Diving Plot is a multi-timeframe (MTF) indicator designed for NQ and ES futures traders who want to identify high-probability entry and exit zones based on unmitigated price levels. The "Cave Diving" visualization helps you navigate between support (floor) and resistance (ceiling) zones, while the integrated Strat analysis provides directional context.
Who Is This For?
Futures traders (NQ, ES) trading during ETH and RTH sessions
Scalpers and day traders looking for precise entry/exit levels
Traders using The Strat methodology for directional analysis
Anyone seeking confluence between price action and key levels
Core Concepts
1. Unmitigated Level:
An unmitigated level is a price high or low that has been created but not yet tested (touched) by price. These levels act as magnets - price often returns to test them.Key Properties:
Resistance (Highs): Price has created a high but hasn't revisited it
Support (Lows): Price has created a low but hasn't revisited it
Mitigation: When price touches a level, it becomes "mitigated" and loses strength
2. The Cave Diving MetaphorThink of trading as cave diving between two zones:
┌─────────────────────────────────┐
│ CEILING (Upper Band) │ ← 1st & 2nd Unmitigated Highs
│ 🟥 Resistance Zone │
├─────────────────────────────────┤
│ │
│ THE TUNNEL │ ← Price navigates here
│ (Trading Channel) │
│ │
├─────────────────────────────────┤
│ 🟢 Support Zone │
│ FLOOR (Lower Band) │ ← 1st & 2nd Unmitigated Lows
└─────────────────────────────────┘
Trading Concept:
Ceiling: Formed by the 1st and 2nd most recent unmitigated highs
Floor: Formed by the 1st and 2nd most recent unmitigated lows
Tunnel: The space between ceiling and floor where price operates
Cave Diving: Navigating between these zones for entries and exits
3. Session-Based Age TrackingLevels are tracked by session age:
Session: 6:00 PM to 5:00 PM NY time (23-hour window)
Age 0: Created in the current session (today)
Age 1: Created 1 session ago (yesterday)
Age 2+: Older levels (more significant)
Why Age Matters:
Older unmitigated levels are typically stronger magnets
Fresh levels (Age 0) may be weaker and easier to break
Age 2+ levels often provide high-probability reversal zones
Indicator Components
Visual Elements
1. Colored Bands (Cave Zones)Upper Band (Pink/Maroon - 95% transparency)
Space between 1st and 2nd unmitigated highs
Acts as resistance zone
Price often hesitates or reverses here
Lower Band (Teal - 95% transparency)
Space between 1st and 2nd unmitigated lows
Acts as support zone
Price often finds buyers here
2. Information Table Located in your chosen corner (default: Bottom Right), the table displays:
5 most recent unmitigated highs (top section)
Tunnel row (middle separator)
5 most recent unmitigated lows (bottom section)
Reading the TableTable Structure
┌────────┬──────────┬────────┬───────┐
│ Level │ $ │ Points │ Age │
├────────┼──────────┼────────┼───────┤
│ ↑↑↑↑↑ │ 21,450.25│ +45.30 │ 3 │ ← 5th High (oldest)
│ ↑↑↑↑ │ 21,425.50│ +32.75 │ 2 │ ← 4th High
│ ↑↑↑ │ 21,410.00│ +25.00 │ 1 │ ← 3rd High
│ ↑↑ │ 21,400.75│ +18.50 │ 1 │ ← 2nd High
│ ↑ │ 21,395.25│ +12.00 │ 0 │ ← 1st High (newest)
├────────┼──────────┼────────┼───────┤
│ Tunnel │ 🟢 │ Δ 85.50│ 2U │ ← Current State
├────────┼──────────┼────────┼───────┤
│ ↓ │ 21,310.00│ -15.25 │ 0 │ ← 1st Low (newest)
│ ↓↓ │ 21,295.50│ -22.75 │ 1 │ ← 2nd Low
│ ↓↓↓ │ 21,280.25│ -30.00 │ 1 │ ← 3rd Low
│ ↓↓↓↓ │ 21,265.75│ -38.50 │ 2 │ ← 4th Low
│ ↓↓↓↓↓ │ 21,250.00│ -45.00 │ 3 │ ← 5th Low (oldest)
└────────┴──────────┴────────┴───────┘Column
Breakdown
Column 1: Level (Arrows)
Green arrows (↑): Resistance levels above current price
Red arrows (↓): Support levels below current price
Arrow count: Indicates recency (1 arrow = newest, 5 arrows = oldest)
Why This Matters:
More arrows = older level = stronger magnet for price
Column 2: $ (Price)
Exact price of the unmitigated level
Use this for limit orders and stop placement
Column 3: Points (Distance)
Positive (+) for highs: Points above current price
Negative (-) for lows: Points below current price
Helps gauge proximity to key levels
Trading Application:
If you're +2.50 points from resistance, a reversal may be imminent
If you're -45.00 points from support, you're far from the floor
Column 4: Age (Sessions)
Number of full 6pm-5pm sessions the level has survived
Age 0: Created today (current session)
Age 1+: Created in previous sessions
Significance Ladder:
Age 0: Weak, may break easily
Age 1-2: Medium strength
Age 3+: Strong, high-probability reaction zone
Tunnel Row (Critical Information)│ Tunnel │ 🟢 │ Δ 85.50│ 2U │
└─┬─┘ └─┬─┘ └──┬──┘ └─┬─┘
│ │ │ │
Label Direction Range Strat
1. Tunnel Label: Identifies the separator row
2. Direction Indicator (🟢/🔴)
🟢 Green Circle: Current 15m bar closed bullish (above previous close)
🔴 Red Circle: Current 15m bar closed bearish (below previous close)
3. Δ (Delta/Range)
Distance in points between 1st High and 1st Low
Shows the tunnel width (trading range)
Example: Δ 85.50 = 85.50 points between ceiling and floor
Trading Use:
Wide tunnel (>100 points): More room to trade, consider range strategies
Narrow tunnel (<50 points): Tight range, expect breakout
4. Strat Pattern
1: Inside bar (consolidation)
2U: 2 Up (bullish directional bar)
2D: 2 Down (bearish directional bar)
3: Outside bar (expansion/volatility)
Color Coding:
Green: 2U (bullish)
Red: 2D (bearish)
Yellow: 3 (expansion)
Gray: 1 (inside/neutral)
Advanced Breakout System v2.0Advanced Breakout System v2.0
Developed by: Mohammed Bedaiwi
This script hunts for high-probability breakouts by combining price consolidation zones, volume spikes vs. average volume, smart money flow (OBV), and a Momentum Override for explosive moves that skip consolidation. Additionally, it automatically identifies and plots Support and Resistance levels with price labels to help you visualize market structure.
The system follows a "Watch & Confirm" logic: it first prints a WATCH setup, then a BUY only if price confirms strength.
💡 JUSTIFICATION OF CONCEPTS (MASHUP & ORIGINALITY)
This script is an original mashup combining several analytical concepts to address common breakout failures:
Volatility Compression Engine: Uses built-in functions like ta.highest() and ta.lowest() to mathematically define the setup phase where price volatility is compressed below a user-defined threshold.
Volume Spike Confirmation: The breakout must be confirmed by a volume increase greater than a moving average of volume, signaling strong market interest.
Smart Volume Filter (OBV): This is the key component. By checking if ta.obv is above its own Moving Average, we confirm that accumulation has been occurring during the consolidation period, suggesting institutional positioning before the price break.
Multi-Exit Risk System: Employs dynamic exits (EMA cross, volume dump, bearish pattern) instead of static stop-losses to manage risk adaptively based on real-time market action.
Market Structure Visualization: The script also includes a Support & Resistance engine to plot key swing pivots and price labels for visual context.
✅ STRATEGY RESULTS & POLICY COMPLIANCE
To ensure non-misleading and transparent backtesting results, this strategy is published with the following fully compliant properties:
Dataset Compliance: The backtest is performed on the CMTL Daily (1D) chart across a long history, generating 201 total trades. This significantly exceeds the minimum requirement of 100 trades, providing a robust test dataset.
Risk Control: The strategy uses a conservative order size set to 2% of equity (default_qty_value=2), strictly adhering to the sustainable risk recommendation of 5-10% of equity per trade.
Transaction Costs: Realistic trading conditions are modeled using 0.07% commission and 3 ticks slippage to prevent the overestimation of profitability.
⚙️ VISUAL GUIDE & SIGNAL LOGIC
Key Color Legend (Visual Guide):
WATCH – Setup (Yellow Arrow Down): Potential breakout setup detected.
BUY – Confirmation (Green Arrow Up): Confirmed breakout, triggered when price trades above the high of the WATCH candle.
SELL – Break (Orange Arrow): Short-term trend weakness, triggered when price closes below the Fast EMA (9).
SELL – Dump (Dark Red Arrow): Distribution / volume dump, triggered by a bearish candle with abnormally high volume.
SELL – Pattern (Purple Arrow): Bearish price-action pattern (such as a bearish engulfing).
Support & Resistance Lines (Red/Green): Small horizontal lines plotted at key swing points with exact price labels.
⌨️ INPUTS (DEFAULT SETTINGS)
Entry settings: Consolidation Lookback (default 20) = bars used to detect consolidation. Consolidation Range % (default 12%) = max allowed range size. Volume Spike Multiplier (default 1.2) = factor above average volume to count as a spike. Force Signal on Big Moves (default ON) = forces a WATCH signal on high-momentum moves.
Exit settings: Enable Fast Exit (EMA 9) toggles the SELL – Break signal. Dump Volume Multiplier defines what counts as “dump” volume.
Support & Resistance: Adjustable Pivot Left/Right bars control the sensitivity of the support and resistance lines.
⚠️ Disclaimer Trading involves significant risk of loss. This script is for educational and informational purposes only and is not financial advice or a recommendation to buy or sell any asset. BUY and SELL signals are rule-based and derived from historical behavior and do not guarantee future performance. Always use your own analysis and risk management. This is an open-source strategy; users are encouraged to test it across different symbols and timeframes.
Daily Buy Signal – RSI/EMA21
Daily Buy Signal – RSI/EMA21
A simple technical signal that identifies potential daily buy opportunities using RSI and EMA21 alignment.
This script generates a daily buy signal when momentum and trend strength align.
The signal triggers when the price closes above the 21-period EMA and the RSI(14) crosses above the 50 level, or when both the RSI stays above 50 and the price shifts from closing below the EMA21 to closing above it.
A label is plotted below the candle, and the script includes an alert condition so users can receive real-time notifications.
FluxPulse Momentum [JOAT]FluxPulse Momentum - Adaptive Multi-Component Oscillator
FluxPulse Momentum is a composite oscillator that blends three distinct momentum components into a single, smoothed signal line. Rather than relying on a single indicator, it synthesizes adaptive RSI, normalized rate of change, and a Kaufman-style efficiency ratio to provide a multi-dimensional view of momentum.
What This Indicator Does
Combines RSI, Rate of Change (ROC), and Efficiency Ratio into one weighted composite
Applies EMA smoothing to reduce noise while preserving responsiveness
Displays overbought/oversold zones with optional background highlighting
Generates buy/sell signals when the oscillator crosses its signal line in favorable zones
Provides a real-time dashboard showing current state, momentum direction, and efficiency
Core Components
Adaptive RSI (50% weight) — Standard RSI calculation normalized around the 50 level
Normalized ROC (30% weight) — Rate of change scaled relative to its recent maximum range
Efficiency Ratio (20% weight) — Measures directional movement efficiency, inspired by Kaufman's adaptive concepts
The final composite is smoothed twice using EMA to create both a fast line and a signal line.
Signal Logic
// Buy signal: crossover in lower half
buySignal = ta.crossover(qmo, qmoSmooth) and qmo < 50
// Sell signal: crossunder in upper half
sellSignal = ta.crossunder(qmo, qmoSmooth) and qmo > 50
Signals are generated only when the oscillator is positioned favorably—buy signals occur below the 50 midline, sell signals occur above it.
Dashboard Information
The on-chart table displays:
Current oscillator value with gradient coloring
Momentum state (Overbought, Oversold, Bullish, Bearish, Neutral)
Momentum direction and acceleration
Efficiency ratio percentage
Active signal status
Inputs Overview
RSI Length — Period for RSI calculation (default: 14)
ROC Length — Period for rate of change (default: 10)
Smoothing Length — EMA smoothing period (default: 3)
Overbought/Oversold Levels — Threshold levels for zone detection
Await Bar Confirmation — Wait for bar close before triggering alerts
How to Use It
Watch for crossovers between the main line and signal line
Use overbought/oversold zones to identify potential reversal areas
Monitor the histogram for momentum acceleration or deceleration
Combine with price action analysis for confirmation
Alerts
Buy Signal — Bullish crossover in the lower zone
Sell Signal — Bearish crossunder in the upper zone
Overbought/Oversold Crosses — Level threshold crossings
This indicator is provided for educational purposes. It does not constitute financial advice. Always conduct your own analysis before making trading decisions.
— Made with passion by officialjackofalltrades
Swing HL**摆动点标注（Swing HL）**
本指标用于在价格图表上标示摆动高点与摆动低点，以辅助用户观察价格结构、波段节奏及潜在支撑/阻力区域。标注以圆点形式叠加在主图上，可通过参数灵活控制显示周期、敏感度及视觉样式，适合作为价格结构分析的辅助工具。
### 参数及用法说明
1. **最小显示时间框架（minSwingTf）**
* 用途：设定摆动点开始显示的最小周期。
* 当前图表周期小于该设置时，不显示任何摆动标注。
* 建议：
* 做中短线结构分析时，可设置为 240 分钟或更高；
* 若需要在更小周期观察结构，可适当降低该参数。
2. **left / right（leftBars / rightBars）**
* 用途：共同控制摆动高点、低点识别的“严格程度”和频率。
* 调整建议：
* 数值较小：标注更频繁，适合关注细节波动、短线结构；
* 数值较大：只保留更明显的摆动点，适合观察中期或波段结构；
* 当图表上摆动点过多、显得拥挤时，可适当增大这两个参数。
3. **标注颜色（dotColor）**
* 用途：设置摆动点圆标的颜色。
* 建议根据图表背景及主图颜色进行调整，以保证摆动点清晰可见但不过于抢眼。
4. **线宽（dotWidth）**
* 用途：控制圆点标注的线宽，从而影响圆点的视觉大小。
* 当需要在高密度数据或缩放较小时保持清晰，可适当增大该数值。
### 使用建议
* 可将本指标作为结构辅助层叠加在任何交易系统之上，用于直观划分价格的波段高低点。
* 进行多周期分析时，可在较大周期（如 4H、日线）上利用本指标确认整体结构，再配合小周期执行入场与风控。
* 当摆动点过多时，可通过提高 `minSwingTf` 或增加 `left` / `right` 参数，使结构标注更加简洁清晰。
* 本指标仅提供价格摆动结构的可视化标注，不直接构成完整的交易信号或策略规则，建议与个人既有分析方法结合使用。
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**Swing HL – Swing High/Low Marker**
This indicator marks swing highs and swing lows on the price chart to assist in reading price structure, swing rhythm, and potential support/resistance zones. Markers are plotted as dots on the main chart, and display behavior can be fully controlled via user inputs such as minimum timeframe, sensitivity, and visual style. It is designed to serve as a structural overlay for discretionary or systematic analysis.
### Inputs and Usage
1. **Minimum Display Timeframe (minSwingTf)**
* Purpose: Defines the minimum timeframe on which swing markers will be shown.
* When the current chart timeframe is below this setting, all swing markers are hidden.
* Guidance:
* For swing or position-style structure analysis, consider using 4H or higher;
* For intraday structural work, you may lower this value as needed.
2. **left / right (leftBars / rightBars)**
* Purpose: Jointly control how strict and how frequent swing highs and lows are marked.
* Tuning:
* Smaller values: More frequent swings, suitable for detailed, lower-timeframe structure;
* Larger values: Only more pronounced swings are kept, suitable for higher-level trend and swing mapping;
* If the chart becomes crowded with markers, increasing these values will simplify the structure.
3. **Marker Color (dotColor)**
* Purpose: Sets the color of the swing markers.
* It is recommended to choose a color that contrasts with the background and main price plot while remaining visually unobtrusive.
4. **Line Width (dotWidth)**
* Purpose: Controls the line width of the dot markers, effectively adjusting their perceived size.
* On dense charts or when zoomed out, a larger value can help maintain readability.
### Practical Notes
* Use this indicator as a structural overlay to highlight swing highs and lows alongside your existing trading tools and methods.
* In multi-timeframe workflows, it can help outline the main structure on higher timeframes (e.g., 4H, Daily), which you then refine on lower timeframes for execution.
* If too many swing points appear, either increase `minSwingTf` or raise the `left` / `right` values to obtain a cleaner structural view.
* The script is intended as a visualization aid for price swings; it does not, by itself, define entry, exit, or risk management rules and should be integrated into a broader analytical framework.
Scalping EMA9/15 This indicator is designed for high-accuracy intraday scalping based on a refined version of the popular EMA9–EMA15 trend-following technique.
It filters weak or premature entries by requiring a retest of the EMA zone before generating a Buy/Sell signal — drastically reducing false breakouts.
FOMC Federal Fund Rate Tracker [MHA Finverse]The FOMC Rate Tracker is a comprehensive indicator that visualizes Federal Reserve interest rate decisions and tracks market behavior during FOMC meeting periods. This tool helps traders analyze historical rate changes and anticipate market movements around Federal Open Market Committee announcements.
Key Features:
• Visual FOMC Periods - Automatically highlights each FOMC meeting period with colored boxes spanning from announcement to the next meeting
• Complete Rate Data - Displays actual rates, forecasts, previous rates, and rate differences for every meeting from 2021-2026
• Multiple Color Modes - Choose between cycle colors for visual distinction or rate difference colors (green for hikes, red for cuts, gray for holds)
• Smart Filtering - Filter periods by rate hikes only, cuts only, no change, or surprise moves to focus on specific market conditions
• Performance Metrics - Track average returns during rate hikes, cuts, and holds to identify historical patterns
• Volatility Analysis - Measure and compare price volatility across different FOMC periods
• Statistical Dashboard - View total hikes, cuts, holds, surprises, and longest hold streaks at a glance
• Built-in Alerts - Get notified 1 day before FOMC meetings, on meeting day, or when rates change
How It Works:
The indicator divides your chart into distinct periods between FOMC meetings, with each period showing a labeled box containing the meeting date, actual rate, forecast, previous rate, and rate difference. Future meetings are marked as "UPCOMING" to help you prepare for scheduled announcements.
Use Cases:
- Analyze how markets typically react to rate hikes vs. cuts
- Identify volatility patterns around FOMC announcements
- Backtest strategies based on monetary policy cycles
- Plan trades around upcoming Federal Reserve meetings
- Study the impact of surprise rate decisions on price action
Customization Options:
- Adjustable box transparency and outlines
- Customizable label sizes and colors
- Toggle individual dashboards on/off
- Filter specific types of rate decisions
- Configure alert preferences
This indicator is ideal for traders who incorporate fundamental analysis and monetary policy into their trading decisions. The historical data provides context for understanding market reactions to Federal Reserve actions.
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Anand Bollinger Bands - Linear Regression SlopeSummary
Bollinger Bands show price volatility using SMA ± standard deviation
Linear Regression calculates the mathematical trend through the middle line
Slope comparison (current vs. previous) determines if trend is rising or falling
Color changes based on that trend: Green = up, Red = down
Uses same period for both BB and slope = everything stays synchronized
The result: A visual indicator that shows you not just where price is relative to volatility, but also which direction the trend is actually moving!
SPY PRO Day Trading(VWAP + EMAs + FVG + Liquidity + Levels)🚀 WHAT THE PRO VERSION INCLUDES
1. Full Trend System
9/21 EMA cloud
200 EMA trend filter
VWAP
2. Institutional Levels
Previous Day High/Low/Close
Pre-Market High/Low
3. Advanced Price Action Tools
Fair Value Gaps (FVG)
Liquidity Sweeps (stop hunts)
Auto Support/Resistance
Breakout zones
4. Trade Signals
CALL and PUT signals based on:
Trend
EMA bounce
VWAP confirmation
5. Alerts for everything
Fanfans-Supertrend 10in1
## English Summary
This indicator, named "Multi-Indicator Trend Grid (Weighted Version)", is a comprehensive technical analysis tool. It integrates 10 classic technical indicators, categorized into three tiers based on trading weight: Tier 1 (GWMA, EMA, MACD) are core trend judgment indicators; Tier 2 (RSI, CCI, Bollinger Bands) are trend confirmation indicators; Tier 3 (VWAP, KDJ, ADX, Supertrend) are auxiliary filtering indicators. Using MACD histogram coloring logic, it visually displays the strength changes of bullish/bearish trends through dark/light green and dark/light red colors. This tool helps traders quickly identify market trend directions, confirm signal validity, and filter out false signals. It is particularly suitable for multi-timeframe analysis and trend reversal warnings, providing a visual "trend consensus" judgment method.
## 中文总结
此指标名为"多指标趋势网格（权重排序版）"，是一个综合性的技术分析工具。它整合了10个经典技术指标，按照交易权重分为三个梯队：第一梯队(GWMA、EMA、MACD)为核心趋势判断指标；第二梯队(RSI、CCI、布林带)为趋势确认指标；第三梯队(VWAP、KDJ、ADX、Supertrend)为辅助过滤指标。指标采用MACD柱状图配色逻辑，通过深绿/浅绿和深红/浅红直观显示多头/空头趋势的强弱变化。该工具能帮助交易者快速识别市场趋势方向、确认信号有效性并过滤虚假信号，特别适用于多时间框架分析和趋势转换预警，提供了一种可视化的"趋势共识"判断方法。
VCAI MACD LiteVCAI MACD Lite is a clean, modern version of the classic MACD oscillator, rebuilt with selectable EMA/SMA types and a 2-tone histogram using VCAI’s visual style.
It keeps the indicator lightweight and easy to read while giving clearer momentum shifts through rising/falling histogram colour changes.
What it does
Calculates MACD using your choice of EMA or SMA
Plots signal line and histogram with 2-tone VCAI colours
Highlights changes in momentum strength as histogram bars rise or fade
Works on any market and timeframe
How to use it
Expanding yellow bars reflect strengthening upside momentum; dim yellow shows fading strength.
Darker and lighter VCAI purple tones show momentum behaviour below zero, helping you see when bearish pressure is increasing or weakening.
Part of the VCAI Lite Series — clean, minimal tools.
VCAI Volume & Liquidity Map LiteVCAI Volume & Liquidity Map Lite visualises recent market participation using a horizontal liquidity/volume histogram plotted beside current price.
It shows where trading activity has clustered, where the chart is thin, and how much of that activity came from buying vs selling pressure.
This Lite edition keeps the tool simple and fast:
Yellow = buy-side volume (aggressive buyers / upward pressure)
Purple = sell-side volume (aggressive sellers / downward pressure)
Thicker sections = higher traded volume at that price
POC line (purple) marks the price with the highest volume concentration
Value Area lines (yellow dashed) mark where ~70% of volume has traded
Bars extend outward to the right of price for a clean, unobstructed chart
Lookback setting controls how many candles the map is built from
Use it to quickly identify:
high-interest price zones
low-liquidity areas where price can move fast
likely reaction levels
where momentum may slow, reverse, or break through
Designed as a lightweight, open-source tool for anyone wanting a clean liquidity/volume map without complex settings.
Part of the VCAI Lite Series.
Zaka Pro: Clear Structure (HH/LL) + MSS ZonesCertainly! Here is a description of the Pine Script indicator you provided, focusing on its main functions and trading strategy, written in English.
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## Zaka Pro: Clear Structure (HH/LL) + MSS Zones
This is a technical analysis indicator developed in Pine Script (`//@version=5`) designed to automatically identify and plot key price action structural elements based on the **Zig Zag** method, while incorporating a simplified **Market Structure Shift (MSS)** concept, often used in Smart Money Concepts (SMC) or Wyckoff trading.
### Key Features:
1. **Pivot-Based Structure Identification:**
* The indicator uses the standard **`ta.pivothigh`** and **`ta.pivotlow`** functions, determined by the user-defined `Pivot Length` (`prd`). This forms the foundation of the price "swing" structure.
2. **Structural Labeling (HH/LL/LH/HL):**
* It automatically labels the resulting swing points to clearly show the prevailing trend:
* **HH (Higher High):** Continuation of an uptrend.
* **LL (Lower Low):** Continuation of a downtrend.
* **LH (Lower High):** A potential reversal or weakening of an uptrend.
* **HL (Higher Low):** A potential reversal or weakening of a downtrend.
3. **Zig Zag Plotting:**
* The indicator connects the identified pivot points with a **gray line** to visually represent the market swings.
4. **Market Structure Shift (MSS) Strategy:**
* The core strategy detects a potential **trend reversal** when the price breaks the most recent structural pivot:
* **Buy MSS Trigger:** Detected when the price breaks **above the last High** (`last_high`) while the market was in a confirmed **downtrend** (forming Lower Lows).
* **Sell MSS Trigger:** Detected when the price breaks **below the last Low** (`last_low`) while the market was in a confirmed **uptrend** (forming Higher Highs).
5. **Order Block / Entry Zone Plotting:**
* Upon detection of a confirmed MSS (reversal), the indicator plots a colored **Box** representing a potential re-entry zone:
* **BUY ZONE (Green Box):** Plotted after a Buy MSS (breakout to the upside). The zone is defined by the **High and Low of the two candles preceding the last swing Low** (`ob_low_top`, `ob_low_btm`). This acts as a simplified "Order Block" for potential long entries.
* **SELL ZONE (Red Box):** Plotted after a Sell MSS (breakout to the downside). The zone is defined by the **High and Low of the two candles preceding the last swing High** (`ob_high_top`, `ob_high_btm`). This acts as a simplified "Order Block" for potential short entries.
6. **Alerts:**
* Custom alerts are included to notify the user immediately when a Buy or Sell MSS (Market Structure Shift) is detected.
In summary, the indicator is a visual tool that simplifies price action analysis by drawing structure and highlights potential reversal points (MSS) by painting corresponding re-entry zones (Order Blocks) on the chart.
Volatility Value BandsThis indicator is a modern adaptation of Mark Helweg's original Value Charts concept, focused on visually displaying volatility zones and "extreme value" areas directly on the price chart. It does not replicate the original work but draws inspiration from the logic of normalizing price by volatility to highlight statistically stretched regions.
1. Introduction
This study displays three lines directly on the chart:
- a central reference line (base),
- an upper overvaluation band,
- and a lower undervaluation band.
The bands are calculated from the relationship between price, moving average, and volatility (via true range/ATR), following Mark Helweg's Value Charts concept but with a custom implementation and adjustable parameters for different assets and timeframes. This allows objectively visualizing when price is in a statistically extended region relative to its recent behavior.
2. Key Features
- Volatility-normalized base
The indicator converts price deviation into "value units" using a combination of moving average and smoothed volatility (true range/ATR), making levels comparable across different assets and time horizons.
- Auto-adjusting limits (optional)
An automatic mode can calculate upper and lower limits from recent value unit extremes, using a configurable sampling window and percentile, allowing bands to adapt to the current volatility regime without manual recalibration.
- Direct plot on price chart
The three lines (central, upper, and lower) are drawn directly on the main asset chart (`overlay`), making it easy to read context: it's clear when price "touches" or breaks the volatility bands without switching to a separate pane.
- Flexible parameters
Users can control:
- base moving average period (length)
- volatility factor (manual or automatic)
- independent windows for volatility and limits calculation
- limits mode (auto or manual) and percentile used
This allows adapting behavior to different markets (stocks, indices, forex, crypto).
3. How to Use
- Basic interpretation
- When price approaches or exceeds the upper band, it indicates a statistically overvalued zone where the asset is stretched upward relative to recent volatility.
- When price approaches or exceeds the lower band, it indicates a statistically undervalued zone.
- The central line serves as a reference for recent "average value," derived from the base moving average.
- Recommended initial setup
- Choose the Value Chart period (e.g., 144 bars) for the base.
- Enable automatic limits mode for coherent bands matching the asset's volatility.
- Adjust the limits window and percentile for tighter bands (more signals) or wider bands (fewer but more extreme).
- Best practices
- Use bands as context filters, not standalone buy/sell signals. Combine with trend, market structure, or other confirmation indicators.
- Avoid decisions solely because price touched a band; in strong trends, price can "walk the edge" for extended periods.
- Always follow TradingView community rules when publishing: clearly state in the description that the study is "inspired by Mark Helweg's Value Charts concept," without claiming official status, reproducing proprietary code, or violating copyrights.
Exhaustion IndicatorThe ScalpSQZ indicator is designed to identify four critical market states using volatility structure, momentum behavior, and exhaustion conditions. It enhances scalping precision by visually marking transitions between consolidation, squeeze conditions, and momentum reversals through color-coded candles.
1. Squeeze Conditions (Orange Candles)
Orange candles highlight volatility compression, detected when Bollinger Bands contract inside the Keltner Channels. This structure signals that market volatility is tightening and a significant expansion move is likely to follow. The squeeze represents a pre-breakout environment and serves as the earliest warning of a potential directional shift.
2. Consolidation Conditions (Yellow Candles)
Yellow candles identify phases of low directional momentum. These conditions occur when RSI remains near neutral values, MACD histogram activity is minimal, and the Rate of Change stays muted. This combination indicates that the market is balanced and non-trending, often preceding a volatility spike or a new trend. Consolidation helps traders avoid low-probability entries during indecisive price action.
3. Momentum Exhaustion — Overbought Fade (White Candles)
White candles signal potential top-side exhaustion. This occurs when RSI enters overbought territory while the MACD histogram begins to weaken compared to the previous bar. This condition does not necessarily call a reversal but warns that bullish momentum is deteriorating and upside continuation may be limited. It is particularly useful for identifying trend fatigue and tightening stop-loss placement.
4. Momentum Exhaustion — Oversold Fade (Purple Candles)
Purple candles identify bottom-side exhaustion and appear when RSI reaches oversold levels, MACD momentum begins improving, and the current close shows buyer defense relative to the previous low. This condition suggests selling pressure is diminishing and a potential reversal or relief bounce may be forming. Purple candles serve as an early indication of bearish trend exhaustion.
Color Priority System
The indicator follows a fixed hierarchy to ensure clarity:
Squeeze (orange) has the highest priority, followed by consolidation (yellow). Exhaustion signals (white for tops, purple for bottoms) apply only when no squeeze or consolidation conditions are active. This structure ensures that the most critical market states are always highlighted first.
Purpose and Application
ScalpSQZ helps traders identify optimal environments for breakouts, anticipate trend exhaustion, and avoid low-quality trades during choppy or low-momentum conditions. It is suitable for scalping, day trading, and swing trading across any asset class or timeframe.
