🎯 Wyckoff Order Block Entry System🎯 Wyckoff Order Block Entry System
📝 INDICATOR DESCRIPTION
🎯 Wyckoff Order Block Entry System Short Description:
Professional institutional zone trading combined with Wyckoff methodology. Identifies high-probability entries where smart money meets classic price action patterns.
Full Description:
Wyckoff Order Block Entry System is a precision trading tool that combines two powerful concepts:
Order Blocks - Institutional zones where large players place their orders
Wyckoff Method - Classic price action patterns revealing smart money behavior
🎯 What Makes This Different?
Unlike traditional indicators that flood your chart with signals, this system only triggers entries when BOTH conditions are met:
Price enters an institutional Order Block zone (current timeframe OR higher timeframe)
A Wyckoff pattern occurs (Spring, SOS, Upthrust, or SOW)
This dual-confirmation approach ensures you're trading with institutional flow at optimal entry points.
📊 Key Features:
✅ Order Block Detection
Automatically identifies institutional buying/selling zones
Current timeframe order blocks (solid lines)
Higher timeframe order blocks (dashed lines) for stronger zones
Customizable strength and extension settings
✅ 4 Wyckoff Entry Patterns
SPRING (Bullish Reversal): Fake breakdown below support → Quick recovery
SOS (Sign of Strength): Strong bullish candle after accumulation
UPTHRUST (Bearish Reversal): Fake breakout above resistance → Quick rejection
SOW (Sign of Weakness): Strong bearish candle after distribution
✅ Clean Visual Design
Minimalist approach - only essential information
Color-coded zones (Green = Bullish, Red = Bearish, Cyan/Magenta = HTF)
Clear entry signals with pattern type labels
No chart clutter - focus on what matters
✅ Multi-Timeframe Analysis
Integrates higher timeframe order blocks
HTF signals marked with "+HTF" tag for extra confidence
Fully customizable HTF selection (H1, H4, Daily, etc.)
✅ Smart Alerts
Entry signal alerts (Long/Short)
Order block formation alerts
HTF order block alerts
Customizable alert messages
💡 How To Use:
Setup: Add indicator to your chart, configure HTF timeframe (default H1)
Wait: Let order blocks form (green/red boxes appear)
Watch: Price returns to order block zone
Entry: Signal appears when Wyckoff pattern confirms
Trade: Enter with the signal, stop below/above order block
📈 Best For:
Forex pairs (all majors and crosses)
Gold (XAUUSD)
Crypto (BTC, ETH, etc.)
Indices (SPX, NAS100, etc.)
Stocks
Commodities
⏱️ Recommended Timeframes:
M15 for scalping
M30 for day trading
H1 for swing trading
H4 for position trading
🎯 Win Rate Expectations:
Current TF signals: 60-70%
HTF signals (+HTF tag): 70-80%
Spring/Upthrust patterns: Highest probability
Works on ALL liquid markets
⚙️ Customizable Settings:
Order block detection parameters
HTF timeframe selection
Wyckoff sensitivity (swing length, volume threshold)
Zone extension duration
Color schemes
📚 Trading Strategy:
This indicator works best when:
Trading in the direction of higher timeframe trend
Using proper risk management (1-2% per trade)
Placing stops just outside order block zones
Taking profits at opposite order blocks
Focusing on HTF signals for higher quality
🔒 Risk Management:
Always use stop losses! Recommended placement:
LONG: 10-20 pips below order block
SHORT: 10-20 pips above order block
Target: Minimum 1:2 risk/reward ratio
💎 Why Traders Love This System:
"Finally, an indicator that doesn't spam my chart with useless signals!" - The quality-over-quantity approach means you only get high-probability setups.
"The HTF order blocks changed my trading!" - Multi-timeframe analysis built-in removes the need for manual higher timeframe checks.
"Wyckoff + Order Blocks = Perfect combination!" - Two proven concepts working together create powerful confluence.
📊 Universal Application:
This system works on ANY liquid market with sufficient volume:
✅ Forex (EUR/USD, GBP/USD, USD/JPY, etc.)
✅ Commodities (Gold, Silver, Oil, etc.)
✅ Indices (S&P 500, NASDAQ, DAX, etc.)
✅ Cryptocurrencies (Bitcoin, Ethereum, etc.)
✅ Stocks (Large cap with good liquidity)
🎓 Educational Value:
Beyond just signals, this indicator teaches you:
How institutional traders think
Where smart money places orders
Classic Wyckoff accumulation/distribution patterns
Multi-timeframe analysis techniques
⚡ Performance:
Lightning-fast calculations
No repainting
Real-time signal generation
Clean code, optimized for speed
🚀 Get Started:
Add to your favorite chart
Adjust HTF timeframe to match your trading style
Wait for high-quality signals
Trade with confidence
Remember: Quality beats quantity. This system prioritizes precision over frequency. You might see 2-5 signals per day on M30 - and that's exactly the point. Each signal is carefully filtered for maximum probability.
Ready to trade like institutions?
👉 Add this indicator to your chart now
👉 Configure your preferred HTF timeframe
👉 Start catching high-probability setups
👉 Trade smarter, not harder
Questions or feedback? Drop a comment below!
Found this useful? Hit that ⭐ button and share with fellow traders!
Happy Trading! 🚀📈
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VSLRT with DivergencesOverview
This indicator combines Volume-Synchronized Linear Regression Trend (VSLRT) analysis with multi-indicator divergence detection to provide comprehensive market momentum and reversal signals. It displays volume-weighted price trends in both short-term and long-term timeframes, while simultaneously detecting divergences across 10 different technical indicators.
Key Features
VSLRT (Volume-Synchronized Linear Regression Trend):
Short-term and long-term trend analysis using linear regression
Volume-weighted calculations that account for buying vs selling pressure
Color-coded histogram showing trend strength and direction
Forecast projection showing anticipated trend continuation
Divergence-adjusted forecasting for enhanced prediction accuracy
Multi-Indicator Divergence Detection:
The indicator simultaneously monitors divergences across:
MACD (Moving Average Convergence Divergence)
MACD Histogram
RSI (Relative Strength Index)
Stochastic Oscillator
CCI (Commodity Channel Index)
Momentum
OBV (On-Balance Volume)
Volume-Weighted MACD
Chaikin Money Flow
Money Flow Index
Divergence Types:
Regular Bullish Divergence (potential reversal to upside)
Regular Bearish Divergence (potential reversal to downside)
Hidden Bullish Divergence (trend continuation upward)
Hidden Bearish Divergence (trend continuation downward)
How It Works
VSLRT Calculations:
The indicator calculates linear regression slopes for both price and volume, separating buying volume from selling volume. The histogram displays:
Green columns: Bullish price movement with strong buying volume
Red columns: Bearish price movement with strong selling volume
Shaded columns: Weaker conviction in the current trend
Thick line: Long-term trend direction
Divergence Detection:
The script automatically scans for divergences by comparing:
Price action (higher highs/lower lows)
Indicator values at pivot points
When price and indicators move in opposite directions, a divergence is detected
Divergences are displayed as labels on the histogram showing:
Which indicators are diverging
Number of simultaneous divergences (stronger signal when multiple indicators agree)
Color-coded by divergence type
Customizable Settings
VSLRT Settings:
Short-term length (default: 20)
Long-term length (default: 50)
Forecast bars (1-50, default: 10)
Divergence forecast adjustment factor
Custom colors for all trend states
Divergence Settings:
Pivot period for divergence detection
Source (Close or High/Low)
Divergence type (Regular, Hidden, or Both)
Minimum number of divergences to display
Maximum pivot points and bars to check
Toggle individual indicators on/off
Custom colors for each divergence type
Label display options (Full names, First letter, or Don't show)
Show divergence count option
Trading Applications
Trend Following:
Use VSLRT histogram to identify trend direction and strength
Enter trades when short-term and long-term trends align
Monitor forecast bars for potential trend continuation
Reversal Trading:
Watch for multiple regular divergences (3+ indicators)
Confirm with VSLRT color changes
Higher divergence count = stronger reversal signal
Trend Continuation:
Hidden divergences suggest trend will continue
Use during pullbacks in strong trends
Combine with VSLRT forecast for entry timing
Risk Management:
Divergence alerts can signal potential exits
VSLRT color changes can indicate stop-loss levels
Forecast helps anticipate trend exhaustion
Alert Conditions
Built-in alert conditions for:
Positive Regular Divergence Detected
Negative Regular Divergence Detected
Positive Hidden Divergence Detected
Negative Hidden Divergence Detected
Any Positive Divergence
Any Negative Divergence
Tips for Best Results
Multiple Timeframe Analysis: Check divergences on higher timeframes for more reliable signals
Confirmation: Wait for bar close (enabled by default) to avoid false signals
Volume Context: Stronger VSLRT signals occur during high volume periods
Divergence Count: More simultaneous divergences = higher probability signal
Trend Alignment: Best results when divergences align with overall trend direction
Volume Climax Reversal (VCR) — Catch Exhaustion Tops & BottomsNew! VCR spots exhaustion spikes at highs/lows using volume extremes + price action + VWAP context.
If you trade parabolic runners, indices, or mean-reversion edges, VCR helps you time the backside (shorts) and fade capitulation (longs) with clean, rule-based signals.
What it does
Detects volume climax: current volume > SMA(len) × multiplier and a new volume high in the lookback.
Confirms price context: makes a higher high (for tops) or lower low (for bottoms).
Filters with VWAP (optional): bearish signals only below VWAP, bullish signals only above VWAP.
Optional wick filter: requires an exhaustion wick > body to reduce chop.
Why traders like it
Clear entries: “VCR↓” (bearish) at exhaustion tops, “VCR↑” (bullish) at washout lows.
Fewer false signals: VWAP gating + wick filter focus on true climaxes.
Built-in alerts: set once, get notified on your phone/desktop when a setup appears.
How I trade it (simple playbook)
Bearish reversal (short / puts)
Wait for VCR↓ (exhaustion at/near HH).
Look for a lower high that fails to reclaim the signal candle high.
Enter on the break of that lower-high candle low.
Stop above the signal wick high.
Covers/targets: VWAP first; then 20–30% fade from the local top / prior demand.
Bullish reversal (long / calls)
Wait for VCR↑ (capitulation at/near LL).
Look for a higher low that holds above the signal candle low.
Enter on the break of the HL candle high.
Stop below the signal wick low.
Targets: VWAP first; then prior supply/MA bands.
Tip for small-cap/“Dux” style: VCR pairs perfectly with a gap + high USD-rotation scan. Let them blow off, then use VCR for the timing.
Inputs (tune to your market)
Volume SMA Length (default 20)
Volume Spike Multiplier (default 2.0)
Lookback High / Low (default 10 / 10)
Require VWAP confirmation? (on)
Use wick filter? (on)
Works on stocks, indices, futures, crypto.
Timeframes: 1–15m for day trading; 1h–4h–D for swing.
Alerts
Set one (or both) alerts and forget it:
Bearish Volume Climax — VCR↓
Bullish Volume Climax — VCR↑
You’ll get instant notifications when a qualified top/bottom prints.
Best practices
Don’t countertrend the first front-side ramp—wait for the VCR and a lower-high/higher-low.
Respect VWAP: it’s your first profit-taking and a bias filter.
Size small into volatility; widen stops in fast markets.
Combine with your watchlist filters (gap %, float/O/S, USD rotation, session timing).
What’s included
Clean visual signals (triangles + subtle background shading)
Session-anchored VWAP
Alert conditions that appear in TradingView’s alert menu
Sensible defaults + clear docs (this post)
FAQ
Q: Does it repaint?
No. VCR uses completed-bar data; signals print end-of-bar.
Q: Which markets?
Anything with volume: US equities, futures, crypto, indices.
Q: Can I use it for scalps?
Yes—1–5m with wick filter on and VWAP required works well.
Get more / upgrades
I’m iterating fast (MTF filter, heatmap panel, combined “one-alert” mode).
Want the pro template with dashboard & combined alerts? Message me on TV or DM / email you@domain.com
.
Risk Notice
This is educational research, not financial advice. Markets carry risk—always manage position size and use stops.
If this helped you, smash the 👍 and ⭐ — it really helps!
#volume #vwap #reversal #exhaustion #trendreversal #smallcaps #scalping #daytrading #swingtrading #stocks #futures #crypto #indicator
Qullamagi EMA Breakout Autotrade (Crypto Futures L+S)Title: Qullamagi EMA Breakout – Crypto Autotrade
Overview
A crypto-focused, Qullamagi-style EMA breakout strategy built for autotrading on futures and perpetual swaps.
It combines a 5-MA trend stack (EMA 10/20, SMA 50/100/200), volatility contraction boxes, volume spikes and an optional higher-timeframe 200-MA filter. The script supports both long and short trades, partial take profit, trailing MA exits and percent-of-equity position sizing for automated crypto futures trading.
Key Features (Crypto)
Qullamagi MA Breakout Engine – trades only when price is aligned with a strong EMA/SMA trend and breaks out of a tight consolidation range. Longs use: Close > EMA10 > EMA20 > SMA50 > SMA100 > SMA200. Shorts are the mirror condition with all MAs sloping in the trend direction.
Strict vs Loose Modes – Strict (Daily) is designed for cleaner swing trades on 1H–4H (full MA stack, box+ATR and volume filters, optional HTF filter). Loose (Intraday) focuses on 10/20/50 alignment with relaxed filters for more frequent 15m–30m signals.
Volatility & Volume Filters for Crypto – ATR-based box height limit to detect volatility contraction, wide-candle filter to avoid chasing exhausted breakouts, and a volume spike condition requiring current volume to exceed an SMA of volume.
Higher-Timeframe Trend Filter (Optional) – uses a 200-period SMA on a higher timeframe (default: 1D). Longs only when HTF close is above the HTF 200-SMA, shorts only when it is below, helping avoid trading against dominant crypto trends.
Autotrade-Oriented Trade Management – position size as % of equity, initial stop anchored to a chosen MA (EMA10 / EMA20 / SMA50) with optional buffer, partial take profit at a configurable R-multiple, trailing MA exit for the remainder, and an optional cooldown after a full exit.
Markets & Timeframes
Best suited for BTC, ETH and major altcoin futures/perpetuals (Binance, Bybit, OKX, etc.).
Strict preset: 1H–4H charts for classic Qullamagi-style trend structure and fewer fake breakouts.
Loose preset: 15m–30m charts for higher trade frequency and more active intraday trading.
Always retune ATR length, box length, volume multiplier and position size for each symbol and exchange.
Strategy Logic (Quick Summary)
Long (Strict): MA stack in bullish alignment with all MAs sloping up → tight volatility box (ATR-based) → volume spike above SMA(volume) × multiplier → breakout above box high (close or intrabar) → optional HTF close above 200-SMA.
Short: Mirror logic: bearish MA stack, tight box, volume spike and breakdown below box low with optional HTF downtrend.
Best Practices for Crypto
Backtest on each symbol and timeframe you plan to autotrade, including commissions and slippage.
Start on higher timeframes (1H/4H) to learn the behavior, then move to 15m–30m if you want more signals.
Use the higher-timeframe filter when markets are strongly trending to reduce counter-trend trades.
Keep position-size percentage conservative until you fully understand the drawdowns.
Forward-test / paper trade before connecting to live futures accounts.
Webhook / Autotrade Integration
Designed to work with TradingView webhooks and external crypto trading bots.
Alert messages include structured fields such as: EVENT=ENTRY / SCALE_OUT / EXIT, SIDE=LONG / SHORT, STRATEGY=Qullamagi_MA.
Map each EVENT + SIDE combination to your bot logic (open long/short, partial close, full close, etc.) on your preferred exchange.
Important Notes & Disclaimer
Crypto markets are highly volatile and can change regime quickly. Backtest and forward-test thoroughly before using real capital. Higher timeframes generally produce cleaner MA structures and fewer fake breakouts.
This strategy is for educational and informational purposes only and does not constitute financial advice. Trading leveraged crypto products involves substantial risk of loss. Always do your own research, manage risk carefully, and never trade with money you cannot afford to lose.
Smart MA Crossover█ OVERVIEW
"Smart MA Crossover" is a technical analysis indicator designed to enhance the effectiveness of strategies based on MA crossovers, combining classic moving average crossovers with breakouts from boxes and dynamic trend visualizations. The indicator is fully customizable—you can freely adjust both parameters and graphical elements.
█ CONCEPTS
Trading approaches based solely on moving average crossover moments generate a large number of false signals. Smart MA Crossover was created to improve this statistic. That's why boxes are added, which are formed from the candle where the MA crossover occurred and generate signals only upon breakout from them. The boxes have bullish (green) and bearish (red) colors. By default, the show_only_matching filter is enabled, displaying entry signals only when the breakout direction matches the box color (e.g., only upward for a bullish box). Boxes are by default the size of the candle on which the crossover occurred, but their size can be adjusted to suit your strategy via an optional average candle size multiplier.
█ FEATURES
- Moving Averages: Two configurable MAs (fast_length, default 10; slow_length, default 30) with selectable type (SMA, EMA, WMA, HMA, VWMA). Optionally displayed with gradient fill between them (color depends on trend: green for uptrend, red for downtrend).
- MA Gradient and Candle Coloring: Enable gradient fill between MAs (transparency: gradient_opacity, default 85) and dynamic candle coloring based on trend (green/red).
- Fog Gradient Trend: Multi-layered gradient "fog" around hl2, consisting of 5 levels up and down, with offset based on average candle size (offset_mult, default 0.7) and increasing transparency (base_transp, default 80; transp_inc, default 4). Fog colors are dynamic (green/red).
- Breakout Boxes: Created at the moment of MA crossover, extending to the right. Box height optionally multiplied by average candle size (use_box_multiplier, box_multiplier, default 1.0). Boxes close and generate a signal when price breaks out beyond the top/bottom edge.
Signals:
- Triangles: Green downward triangles (buy breakout) below the bar, red upward triangles (sell breakout) above the bar—only on breakouts matching direction (if show_only_matching = true). When the matching filter is disabled, every box generates a signal based not on the MA crossover, but on the breakout direction.
- Labels: “BUY” (green, below bar) and “SELL” (red, iabove bar) with transparent background (transparency 40).
- Matching Filter: The show_only_matching option limits signals to breakouts consistent with box direction (bullish box → only buy, bearish → only sell).
- Visualization: Gradient MA lines, fill between MAs, multi-layered fog with increasing transparency, boxes with transparent background (85) and colored borders, dynamic trend colors.
- Alerts: Built-in alerts for BUY and SELL signals (with message including ticker and timeframe).
█ HOW TO USE
Add to Chart: Apply the indicator via Pine Editor or the Indicators menu on TradingView.
Configure Settings:
- MA Settings: Adjust fast (fast_length, default 10) and slow (slow_length, default 30) MA lengths and type (ma_type, default SMA).
- Visualization: Enable/disable MA lines (show_ma_lines), MA gradient (use_gradient_ma), fog trend (show_fog), candle coloring (color_candles).
- Boxes and Breakouts: Enable candle size multiplier (use_box_multiplier) and set value (box_multiplier, default 1.0). Enable signal filter (show_only_matching).
- Signals: Choose type (signal_type): Triangles or Labels (Buy/Sell).
- Fog Trend: Adjust offset (offset_mult), base transparency (base_transp), and increment (transp_inc). Select trend colors (col_up, col_dn).
Signal Interpretation:
- Buy Signals: Green triangles below the bar or “BUY” label—on upward breakout from a bullish box (after bull cross).
- Sell Signals: Red triangles above the bar or “SELL” label—on downward breakout from a bearish box (after bear cross).
- Fog and Gradient: green fog/fill = uptrend; red = downtrend.
- Boxes: Active boxes indicate potential breakout zones; their closure confirms the move.
Signal Confirmation: Use with other tools, such as support/resistance levels, volume, or additional MAs to filter false crossovers.
█ APPLICATIONS
- MA Cross Strategies: Replace classic crossovers—boxes and breakouts eliminate many false signals, thereby increasing effectiveness. Confirm with other indicators, e.g., RSI, Fibonacci, FVG, pivot levels.
- Trend Following: Can be used as a classic trend indicator, especially with larger MA values.
█ NOTES
- Test the indicator across different timeframes and assets, adjusting MA lengths and box multiplier to market volatility.
- In consolidating markets, the indicator generates more false signals.
Range Oascilator + LessDivergences + MACD+StochRSIRange Oscillator + EMA Filter
Calculates a custom oscillator based on the highest high and lowest low over a chosen period.
Generates BUY signals when the oscillator crosses up from the oversold zone and price is above the EMA.
Generates SELL signals when the oscillator crosses down from the overbought zone and price is below the EMA.
MACD (3‑10‑16 EMA Settings)
Uses fast EMA = 3, slow EMA = 10, signal EMA = 16.
Detects bullish and bearish crossovers.
These crossovers only trigger a single unified buy/sell signal if they coincide with Stochastic RSI being in oversold (for buy) or overbought (for sell) zones.
Stochastic RSI
Standard calculation with %K and %D smoothing.
Defines oversold (<20) and overbought (>80) zones.
Used both for divergence detection and as a filter for MACD signals.
Divergence Detection
RSI Divergence: Price makes a lower low but RSI makes a higher low (bullish), or price makes a higher high but RSI makes a lower high (bearish).
MACD Histogram Divergence: Price makes a lower low but MACD histogram makes a higher low (bullish), or price makes a higher high but MACD histogram makes a lower high (bearish).
Stochastic RSI Divergence: Similar logic applied to %K line.
Divergences are flagged only once per pivot to avoid repetitive signals.
Visuals
EMA plotted on chart.
BUY/SELL signals shown as triangles above/below bars.
Divergences shown as labels (e.g., “RSI BullDiv”, “MACD BearDiv”).
Unified MACD+Stoch RSI signals shown in distinct colors (lime for buy, orange for sell).
Range Oscillator Strategy + Stoch Confirm🔹 Short summary
This is a free, educational long-only strategy built on top of the public “Range Oscillator” by Zeiierman (used under CC BY-NC-SA 4.0), combined with a Stochastic timing filter, an EMA-based exit filter and an optional risk-management layer (SL/TP and R-multiple exits). It is NOT financial advice and it is NOT a magic money machine. It’s a structured framework to study how range-expansion + momentum + trend slope can be combined into one rule-based system, often with intentionally RARE trades.
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0. Legal / risk disclaimer
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• This script is FREE and public. I do not charge any fee for it.
• It is for EDUCATIONAL PURPOSES ONLY.
• It is NOT financial advice and does NOT guarantee profits.
• Backtest results can be very different from live results.
• Markets change over time; past performance is NOT indicative of future performance.
• You are fully responsible for your own trades and risk.
Please DO NOT use this script with money you cannot afford to lose. Always start in a demo / paper trading environment and make sure you understand what the logic does before you risk any capital.
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1. About default settings and risk (very important)
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The script is configured with the following defaults in the `strategy()` declaration:
• `initial_capital = 10000`
→ This is only an EXAMPLE account size.
• `default_qty_type = strategy.percent_of_equity`
• `default_qty_value = 100`
→ This means 100% of equity per trade in the default properties.
→ This is AGGRESSIVE and should be treated as a STRESS TEST of the logic, not as a realistic way to trade.
TradingView’s House Rules recommend risking only a small part of equity per trade (often 1–2%, max 5–10% in most cases). To align with these recommendations and to get more realistic backtest results, I STRONGLY RECOMMEND you to:
1. Open **Strategy Settings → Properties**.
2. Set:
• Order size: **Percent of equity**
• Order size (percent): e.g. **1–2%** per trade
3. Make sure **commission** and **slippage** match your own broker conditions.
• By default this script uses `commission_value = 0.1` (0.1%) and `slippage = 3`, which are reasonable example values for many crypto markets.
If you choose to run the strategy with 100% of equity per trade, please treat it ONLY as a stress-test of the logic. It is NOT a sustainable risk model for live trading.
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2. What this strategy tries to do (conceptual overview)
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This is a LONG-ONLY strategy designed to explore the combination of:
1. **Range Oscillator (Zeiierman-based)**
- Measures how far price has moved away from an adaptive mean.
- Uses an ATR-based range to normalize deviation.
- High positive oscillator values indicate strong price expansion away from the mean in a bullish direction.
2. **Stochastic as a timing filter**
- A classic Stochastic (%K and %D) is used.
- The logic requires %K to be below a user-defined level and then crossing above %D.
- This is intended to catch moments when momentum turns up again, rather than chasing every extreme.
3. **EMA Exit Filter (trend slope)**
- An EMA with configurable length (default 70) is calculated.
- The slope of the EMA is monitored: when the slope turns negative while in a long position, and the filter is enabled, it triggers an exit condition.
- This acts as a trend-protection exit: if the medium-term trend starts to weaken, the strategy exits even if the oscillator has not yet fully reverted.
4. **Optional risk-management layer**
- Percentage-based Stop Loss and Take Profit (SL/TP).
- Risk/Reward (R-multiple) exit based on the distance from entry to SL.
- Implemented as OCO orders that work *on top* of the logical exits.
The goal is not to create a “holy grail” system but to serve as a transparent, configurable framework for studying how these concepts behave together on different markets and timeframes.
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3. Components and how they work together
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(1) Range Oscillator (based on “Range Oscillator (Zeiierman)”)
• The script computes a weighted mean price and then measures how far price deviates from that mean.
• Deviation is normalized by an ATR-based range and expressed as an oscillator.
• When the oscillator is above the **entry threshold** (default 100), it signals a strong move away from the mean in the bullish direction.
• When it later drops below the **exit threshold** (default 30), it can trigger an exit (if enabled).
(2) Stochastic confirmation
• Classic Stochastic (%K and %D) is calculated.
• An entry requires:
- %K to be below a user-defined “Cross Level”, and
- then %K to cross above %D.
• This is a momentum confirmation: the strategy tries to enter when momentum turns up from a pullback rather than at any random point.
(3) EMA Exit Filter
• The EMA length is configurable via `emaLength` (default 70).
• The script monitors the EMA slope: it computes the relative change between the current EMA and the previous EMA.
• If the slope turns negative while the strategy holds a long position and the filter is enabled, it triggers an exit condition.
• This is meant to help protect profits or cut losses when the medium-term trend starts to roll over, even if the oscillator conditions are not (yet) signalling exit.
(4) Risk management (optional)
• Stop Loss (SL) and Take Profit (TP):
- Defined as percentages relative to average entry price.
- Both are disabled by default, but you can enable them in the Inputs.
• Risk/Reward Exit:
- Uses the distance from entry to SL to project a profit target at a configurable R-multiple.
- Also optional and disabled by default.
These exits are implemented as `strategy.exit()` OCO orders and can close trades independently of oscillator/EMA conditions if hit first.
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4. Entry & Exit logic (high level)
────────────────────────
A) Time filter
• You can choose a **Start Year** in the Inputs.
• Only candles between the selected start date and 31 Dec 2069 are used for backtesting (`timeCondition`).
• This prevents accidental use of tiny cherry-picked windows and makes tests more honest.
B) Entry condition (long-only)
A long entry is allowed when ALL the following are true:
1. `timeCondition` is true (inside the backtest window).
2. If `useOscEntry` is true:
- Range Oscillator value must be above `entryLevel`.
3. If `useStochEntry` is true:
- Stochastic condition (`stochCondition`) must be true:
- %K < `crossLevel`, then %K crosses above %D.
If these filters agree, the strategy calls `strategy.entry("Long", strategy.long)`.
C) Exit condition (logical exits)
A position can be closed when:
1. `timeCondition` is true AND a long position is open, AND
2. At least one of the following is true:
- If `useOscExit` is true: Oscillator is below `exitLevel`.
- If `useMagicExit` (EMA Exit Filter) is true: EMA slope is negative (`isDown = true`).
In that case, `strategy.close("Long")` is called.
D) Risk-management exits
While a position is open:
• If SL or TP is enabled:
- `strategy.exit("Long Risk", ...)` places an OCO stop/limit order based on the SL/TP percentages.
• If Risk/Reward exit is enabled:
- `strategy.exit("RR Exit", ...)` places an OCO order using a projected R-multiple (`rrMult`) of the SL distance.
These risk-based exits can trigger before the logical oscillator/EMA exits if price hits those levels.
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5. Recommended backtest configuration (to avoid misleading results)
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To align with TradingView House Rules and avoid misleading backtests:
1. **Initial capital**
- 10 000 (or any value you personally want to work with).
2. **Order size**
- Type: **Percent of equity**
- Size: **1–2%** per trade is a reasonable starting point.
- Avoid risking more than 5–10% per trade if you want results that could be sustainable in practice.
3. **Commission & slippage**
- Commission: around 0.1% if that matches your broker.
- Slippage: a few ticks (e.g. 3) to account for real fills.
4. **Timeframe & markets**
- Volatile symbols (e.g. crypto like BTCUSDT, or major indices).
- Timeframes: 1H / 4H / **1D (Daily)** are typical starting points.
- I strongly recommend trying the strategy on **different timeframes**, for example 1D, to see how the behaviour changes between intraday and higher timeframes.
5. **No “caution warning”**
- Make sure your chosen symbol + timeframe + settings do not trigger TradingView’s caution messages.
- If you see warnings (e.g. “too few trades”), adjust timeframe/symbol or the backtest period.
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5a. About low trade count and rare signals
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This strategy is intentionally designed to trade RARELY:
• It is **long-only**.
• It uses strict filters (Range Oscillator threshold + Stochastic confirmation + optional EMA Exit Filter).
• On higher timeframes (especially **1D / Daily**) this can result in a **low total number of trades**, sometimes WELL BELOW 100 trades over the whole backtest.
TradingView’s House Rules mention 100+ trades as a guideline for more robust statistics. In this specific case:
• The **low trade count is a conscious design choice**, not an attempt to cherry-pick a tiny, ultra-profitable window.
• The goal is to study a **small number of high-conviction long entries** on higher timeframes, not to generate frequent intraday signals.
• Because of the low trade count, results should NOT be interpreted as statistically strong or “proven” – they are only one sample of how this logic would have behaved on past data.
Please keep this in mind when you look at the equity curve and performance metrics. A beautiful curve with only a handful of trades is still just a small sample.
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6. How to use this strategy (step-by-step)
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1. Add the script to your chart.
2. Open the **Inputs** tab:
- Set the backtest start year.
- Decide whether to use Oscillator-based entry/exit, Stochastic confirmation, and EMA Exit Filter.
- Optionally enable SL, TP, and Risk/Reward exits.
3. Open the **Properties** tab:
- Set a realistic account size if you want.
- Set order size to a realistic % of equity (e.g. 1–2%).
- Confirm that commission and slippage are realistic for your broker.
4. Run the backtest:
- Look at Net Profit, Max Drawdown, number of trades, and equity curve.
- Remember that a low trade count means the statistics are not very strong.
5. Experiment:
- Tweak thresholds (`entryLevel`, `exitLevel`), Stochastic settings, EMA length, and risk params.
- See how the metrics and trade frequency change.
6. Forward-test:
- Before using any idea in live trading, forward-test on a demo account and observe behaviour in real time.
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7. Originality and usefulness (why this is more than a mashup)
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This script is not intended to be a random visual mashup of indicators. It is designed as a coherent, testable strategy with clear roles for each component:
• Range Oscillator:
- Handles mean vs. range-expansion states via an adaptive, ATR-normalized metric.
• Stochastic:
- Acts as a timing filter to avoid entering purely on extremes and instead waits for momentum to turn.
• EMA Exit Filter:
- Trend-slope-based safety net to exit when the medium-term direction changes against the position.
• Risk module:
- Provides practical, rule-based exits: SL, TP, and R-multiple exit, which are useful for structuring risk even if you modify the core logic.
It aims to give traders a ready-made **framework to study and modify**, not a black box or “signals” product.
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8. Limitations and good practices
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• No single strategy works on all markets or in all regimes.
• This script is long-only; it does not short the market.
• Performance can degrade when market structure changes.
• Overfitting (curve fitting) is a real risk if you endlessly tweak parameters to maximise historical profit.
Good practices:
- Test on multiple symbols and timeframes.
- Focus on stability and drawdown, not only on how high the profit line goes.
- View this as a learning tool and a basis for your own research.
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9. Licensing and credits
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• Core oscillator idea & base code:
- “Range Oscillator (Zeiierman)”
- © Zeiierman, licensed under CC BY-NC-SA 4.0.
• Strategy logic, Stochastic confirmation, EMA Exit Filter, and risk-management layer:
- Modifications by jokiniemi.
Please respect both the original license and TradingView House Rules if you fork or republish any part of this script.
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10. No payments / no vendor pitch
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• This script is completely FREE to use on TradingView.
• There is no paid subscription, no external payment link, and no private signals group attached to it.
• If you have questions, please use TradingView’s comment system or private messages instead of expecting financial advice.
Use this script as a tool to learn, experiment, and build your own understanding of markets.
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11. Example backtest settings used in screenshots
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To avoid any confusion about how the results shown in screenshots were produced, here is one concrete example configuration:
• Symbol: BTCUSDT (or similar major BTC pair)
• Timeframe: 1D (Daily)
• Backtest period: from 2018 to the most recent data
• Initial capital: 10 000
• Order size type: Percent of equity
• Order size: 2% per trade
• Commission: 0.1%
• Slippage: 3 ticks
• Risk settings: Stop Loss and Take Profit disabled by default, Risk/Reward exit disabled by default
• Filters: Range Oscillator entry/exit enabled, Stochastic confirmation enabled, EMA Exit Filter enabled
If you change any of these settings (symbol, timeframe, risk per trade, commission, slippage, filters, etc.), your results will look different. Please always adapt the configuration to your own risk tolerance, market, and trading style.
TraderDemircan Auto Fibonacci RetracementDescription:
What This Indicator Does:This indicator automatically identifies significant swing high and swing low points within a customizable lookback period and draws comprehensive Fibonacci retracement and extension levels between them. Unlike the manual Fibonacci tool that requires you to constantly redraw levels as price action evolves, this automated version continuously updates the Fibonacci grid based on the most recent major swing points, ensuring you always have current and relevant support/resistance zones displayed on your chart.Key Features:
Automatic Swing Detection: Continuously scans the specified lookback period to find the most significant high and low points, eliminating manual drawing errors
Comprehensive Level Coverage: Plots 16 Fibonacci levels including 7 retracement levels (0.0 to 1.0) and 9 extension levels (1.115 to 3.618)
Top-Down Methodology: Draws from swing high to swing low (right-to-left), following the traditional Fibonacci retracement convention where 100% is at the top
Dual Labeling System: Shows both exact price values and Fibonacci percentages for easy reference
Complete Customization: Individual toggle controls and color selection for each of the 16 levels
Flexible Display Options: Adjust line thickness (1-5), style (solid/dashed/dotted), and extension direction (left/right/both)
Visual Swing Markers: Red diamond at the swing high (starting point) and green diamond at the swing low (ending point)
Optional Trend Line: Connects the two swing points to visualize the overall price movement direction
How It Works:The indicator employs a sophisticated swing point detection algorithm that operates in two stages:Stage 1 - Find the Swing Low (Support Base):
Scans the entire lookback period to identify the lowest low, which becomes the anchor point (0.0 level in traditional retracement terms, though displayed at the bottom of the grid).Stage 2 - Find the Swing High (Resistance Peak):
After identifying the swing low, searches for the highest high that occurred after that low point, establishing the swing range. This creates a valid price movement range for Fibonacci analysis.Fibonacci Calculation Method:
The indicator uses the top-down approach where:
1.0 Level = Swing High (100% retracement, the top)
0.0 Level = Swing Low (0% retracement, the bottom)
Retracement Levels (0.236 to 0.786) = Potential support zones during pullbacks from the high
Extension Levels (1.115 to 3.618) = Potential target zones below the swing low
Formula: Price = SwingHigh - (SwingHigh - SwingLow) × FibonacciLevelThis ensures that 0.0 is at the bottom and extensions (>1.0) plot below the swing low, following standard Fibonacci retracement convention.Fibonacci Levels Explained:Retracement Levels (0.0 - 1.0):
0.0 (Gray): Swing low - the base support level
0.236 (Red): Shallow retracement, first minor support
0.382 (Orange): Moderate retracement, commonly watched support
0.5 (Purple): Psychological midpoint, significant support/resistance
0.618 (Blue - Golden Ratio): The most important retracement level, high-probability reversal zone
0.786 (Cyan): Deep retracement, last defense before full reversal
1.0 (Gray): Swing high - the initial resistance level
Extension Levels (1.115 - 3.618):
1.115 (Green): First extension, minimal downside target
1.272 (Light Green): Minor extension, common profit target
1.414 (Yellow-Green): Square root of 2, mathematical significance
1.618 (Gold - Golden Extension): Primary downside target, most watched extension level
2.0 (Orange-Red): 200% extension, psychological round number
2.382 (Pink): Secondary extension target
2.618 (Purple): Deep extension, major target zone
3.272 (Deep Purple): Extreme extension level
3.618 (Blue): Maximum extension, rare but powerful target
How to Use:For Retracement Trading (Buying Pullbacks in Uptrends):
Wait for price to make a significant move up from swing low to swing high
When price starts pulling back, watch for reactions at key Fibonacci levels
Most common entry zones: 0.382, 0.5, and especially 0.618 (golden ratio)
Enter long positions when price shows reversal signals (candlestick patterns, volume increase) at these levels
Place stop loss below the next Fibonacci level
Target: Return to swing high or higher extension levels
For Extension Trading (Profit Targets):
After price breaks below the swing low (0.0 level), use extensions as profit targets
First target: 1.272 (conservative)
Primary target: 1.618 (golden extension - most commonly reached)
Extended target: 2.618 (for strong trends)
Extreme target: 3.618 (only in powerful trending moves)
For Counter-Trend Trading (Fading Extremes):
When price reaches deep retracements (0.786 or below), look for exhaustion signals
Watch for divergences between price and momentum indicators at these levels
Enter reversal trades with tight stops below the swing low
Target: 0.5 or 0.382 levels on the bounce
For Trend Continuation:
In strong uptrends, shallow retracements (0.236 to 0.382) often hold
Use these as low-risk entry points to join the existing trend
Failure to hold 0.5 suggests weakening momentum
Breaking below 0.618 often indicates trend reversal, not just retracement
Multi-Timeframe Strategy:
Use daily timeframe Fibonacci for major support/resistance zones
Use 4H or 1H Fibonacci for precise entry timing within those zones
Confluence between multiple timeframe Fibonacci levels creates high-probability zones
Example: Daily 0.618 level aligning with 4H 0.5 level = strong support
Settings Guide:Lookback Period (10-500):
Short (20-50): Captures recent swings, more frequent updates, suited for day trading
Medium (50-150): Balanced approach, good for swing trading (default: 100)
Long (150-500): Identifies major market structure, suited for position trading
Higher values = more stable levels but slower to adapt to new trends
Pivot Sensitivity (1-20):
Controls how many candles are required to confirm a swing point
Low (1-5): More sensitive, identifies minor swings (default: 5)
High (10-20): Less sensitive, only major swings qualify
Use higher sensitivity on lower timeframes to filter noise
Individual Level Toggles:
Enable only the levels you actively trade to reduce chart clutter
Common minimalist setup: Show only 0.382, 0.5, 0.618, 1.0, 1.618, 2.618
Comprehensive setup: Enable all levels for maximum information
Visual Customization:
Line Thickness: Thicker lines (3-5) for presentation, thinner (1-2) for trading
Line Style: Solid for primary levels (0.5, 0.618, 1.618), dashed/dotted for secondary
Price Labels: Essential for knowing exact entry/exit prices
Percent Labels: Helpful for quickly identifying which Fibonacci level you're looking at
Extension Direction: Extend right for forward-looking analysis, left for historical context
What Makes This Original:While Fibonacci indicators are common on TradingView, this script's originality comes from:
Intelligent Two-Stage Detection: Unlike simple high/low finders, this uses a sequential approach (find low first, then find the high that occurred after it), ensuring logical price flow representation
Comprehensive Level Set: Includes 16 levels spanning from retracement to extreme extensions, more than most Fibonacci tools
Top-Down Methodology: Properly implements the traditional Fibonacci retracement convention (high to low) rather than the reverse
Automatic Range Validation: Only draws Fibonacci when both swing points are valid and in the correct temporal order
Dual Extension Options: Separate controls for extending lines left (historical context) and right (forward projection)
Smart Label Positioning: Places percentage labels on the left and price labels on the right for clarity
Visual Swing Confirmation: Diamond markers at swing points help users understand why levels are positioned where they are
Important Considerations:
Historical Nature: Fibonacci retracements are based on past price swings; they don't predict future moves, only suggest potential support/resistance
Self-Fulfilling Prophecy: Fibonacci levels work partly because many traders watch them, creating actual support/resistance at those levels
Not All Levels Hold: In strong trends, price may slice through multiple Fibonacci levels without pausing
Context Matters: Fibonacci works best when aligned with other support/resistance (previous highs/lows, moving averages, trendlines)
Volume Confirmation: The most reliable Fibonacci reversals occur with volume spikes at key levels
Dynamic Updates: The levels will redraw as new swing highs/lows form, so don't rely solely on static screenshots
Best Practices:
Don't Trade Blindly: Fibonacci levels are zones, not exact prices. Look for confirmation (candlestick patterns, indicators, volume)
Combine with Price Action: Watch for pin bars, engulfing candles, or doji at key Fibonacci levels
Use Stop Losses: Place stops beyond the next Fibonacci level to give trades room but limit risk
Scale In/Out: Consider entering partial positions at 0.5 and adding more at 0.618 rather than all-in at one level
Check Multiple Timeframes: Daily Fibonacci + 4H Fibonacci convergence = high-probability zone
Respect the 0.618: This golden ratio level is historically the most reliable for reversals
Extensions Need Strong Trends: Don't expect extensions to be hit unless there's clear momentum beyond the swing low
Optimal Timeframes:
Scalping (1-5 minutes): Lookback 20-30, watch 0.382, 0.5, 0.618 only
Day Trading (15m-1H): Lookback 50-100, all retracement levels important
Swing Trading (4H-Daily): Lookback 100-200, focus on 0.5, 0.618, 0.786, and extensions
Position Trading (Daily-Weekly): Lookback 200-500, all levels relevant for long-term planning
Common Fibonacci Trading Mistakes to Avoid:
Wrong Swing Selection: Choosing insignificant swings produces meaningless levels
Premature Entry: Entering as soon as price touches a Fibonacci level without confirmation
Ignoring Trend: Fighting the main trend by buying deep retracements in downtrends
Over-Reliance: Using Fibonacci in isolation without confirming with other technical factors
Static Analysis: Not updating your Fibonacci as market structure evolves
Arbitrary Lookback: Using the same lookback period for all assets and timeframes
Integration with Other Tools:Fibonacci + Moving Averages:
When 0.618 level aligns with 50 or 200 EMA, confluence creates stronger support
Price bouncing from both Fibonacci and MA simultaneously = high-probability trade
Fibonacci + RSI/Stochastic:
Oversold indicators at 0.618 or deeper retracements = strong buy signal
Overbought indicators at swing high (1.0) = potential reversal warning
Fibonacci + Volume Profile:
High-volume nodes aligning with Fibonacci levels create robust support/resistance
Low-volume areas near Fibonacci levels may see rapid price movement through them
Fibonacci + Trendlines:
Fibonacci retracement level + ascending trendline = double support
Breaking both simultaneously confirms trend change
Technical Notes:
Uses ta.lowest() and ta.highest() for efficient swing detection across the lookback period
Implements dynamic line and label arrays for clean redraws without memory leaks
All calculations update in real-time as new bars form
Extension options allow customization without modifying core code
Format.mintick ensures price labels match the symbol's minimum price increment
Tooltip on swing markers shows exact price values for precision
Stochastic RSI - WT Confluence Signal Detectors (TraderDemircan)Description
What This Indicator Does:
This indicator combines two powerful momentum oscillators—WaveTrend and Stochastic RSI—to identify high-probability trading signals through confluence. Instead of relying on a single indicator that may generate false signals, this tool only triggers buy/sell alerts when both oscillators simultaneously confirm extreme market conditions and trend reversals. This confluence approach significantly reduces noise and helps traders focus on the most reliable setups.
Key Features:
Dual-Oscillator Confluence: Generates signals only when both WaveTrend crossovers and Stochastic RSI extreme levels align
Normalized Scale Display: Both oscillators are plotted on a unified -100 to +100 scale for easy visual comparison
Visual Signal Confirmation: Clear intersection points marked with colored circles, plus optional candle coloring at crossover moments
Customizable Thresholds: Adjust overbought/oversold levels for both oscillators to match your trading style and asset volatility
Clean Visual Presentation: Optional area fill showing WaveTrend momentum difference, making divergences easier to spot
How It Works:
The indicator operates on a confluence principle where multiple conditions must align:
For BUY Signals (Green):
WaveTrend 1 crosses above WaveTrend 2 (bullish crossover)
WaveTrend is in oversold territory (below -53 or -60)
Stochastic RSI K-line is below 20 (oversold)
For SELL Signals (Red):
WaveTrend 1 crosses below WaveTrend 2 (bearish crossover)
WaveTrend is in overbought territory (above 53 or 60)
Stochastic RSI K-line is above 80 (overbought)
WaveTrend Component:
Uses the hlc3 price (average of high, low, close) to calculate a channel index that identifies market momentum waves. The two WaveTrend lines (WT1 and WT2) act similarly to MACD, where crossovers indicate momentum shifts. The oscillator ranges from approximately -100 to +100, with extreme values suggesting potential reversals.
Stochastic RSI Component:
Applies stochastic calculations to RSI values rather than raw price, creating a more sensitive momentum indicator. Values above 80 indicate overbought conditions (potential selling opportunity), while values below 20 indicate oversold conditions (potential buying opportunity). The indicator includes both K-line (faster) and D-line (slower, smoothed) for additional confirmation.
Normalization Technology:
To enable direct visual comparison, the Stochastic RSI (normally 0-100 scale) is normalized to match WaveTrend's -100 to +100 scale. This allows traders to see both oscillators' movements in relation to the same reference levels, making divergences and convergences more apparent.
How to Use:
For Trend Traders:
Wait for confluence signals in the direction of the larger trend
Use buy signals in uptrends as entry points during pullbacks
Use sell signals in downtrends as entry points during bounces
For Reversal Traders:
Focus on confluence signals at major support/resistance levels
Look for divergences between price and oscillators before confluence signals
Consider stronger signals when both oscillators reach extreme levels (WT beyond ±60, Stoch beyond 20/80)
For Scalpers:
Lower the WaveTrend Channel Length (default 10) to 5-7 for more frequent signals
Tighten overbought/oversold thresholds slightly (e.g., WT: ±50, Stoch: 30/70)
Use on lower timeframes (5m, 15m) with strict stop losses
Settings Guide:
WaveTrend Parameters:
Channel Length (10): Controls sensitivity. Lower = more signals but more noise. Higher = fewer but more reliable signals
Average Length (21): Smoothing period for WT2. Higher values reduce whipsaws
Overbought Levels (60/53): Two-tier system. Breaching 60 indicates strong overbought, 53 is moderate
Oversold Levels (-60/-53): Mirror of overbought levels for downside extremes
Stochastic RSI Parameters:
K-Smooth (3): Smoothing for the K-line. Higher = smoother but delayed
D-Smooth (3): Additional smoothing for the D-line signal
RSI Period (14): Standard RSI calculation period
Stoch Period (14): Stochastic calculation lookback
Oversold (20) / Overbought (80): Classic thresholds for extreme conditions
Visual Options:
Show WT Difference Area: Displays the momentum difference between WT1 and WT2 as a blue shaded area
Show WT Intersection Points: Marks crossover points with colored circles (red for bearish, green for bullish)
Color Candles at Intersection: Changes candle colors at crossover moments (blue for bearish, yellow for bullish)
Show Stoch Over Signals: Displays when Stochastic RSI breaches extreme levels
What Makes This Original:
While WaveTrend and Stochastic RSI are established indicators, this script's originality lies in:
Confluence Logic: The specific combination requiring simultaneous confirmation from both oscillators in extreme zones, not just simple crossovers
Normalization Approach: Displaying both oscillators on the same -100 to +100 scale for direct visual comparison, which is not standard
Multi-Tier Overbought/Oversold: Using two levels (60/53) instead of one, allowing for nuanced signal strength assessment
Integrated Visual System: Combining area fills, intersection markers, and candle coloring in a coordinated display that shows momentum flow at a glance
Important Considerations:
This is a momentum-based oscillator system, which performs best in ranging or trending markets with clear swings
In strong trending markets, the oscillator may remain in extreme zones for extended periods (remain overbought during strong uptrends, oversold during strong downtrends)
Confluence signals are intentionally rare to maintain quality—expect fewer signals than with single-indicator systems
Always combine with price action analysis, support/resistance levels, and proper risk management
Not recommended for extremely low volatility or thin markets where oscillators may produce erratic readings
Best Timeframes:
Intraday: 15m, 1H (with tighter parameters)
Swing Trading: 4H, Daily (with default parameters)
Position Trading: Daily, Weekly (with extended Channel Length 15-20)
Typical Use Cases:
Identifying exhaustion points in trending markets
Timing entries during pullbacks in established trends
Spotting potential reversal zones at key price levels
Filtering out weak momentum signals during consolidation
Market Breadth - [JTCAPITAL]Market Breadth - is a comprehensive crypto market strength and sentiment indicator designed to visualize the overall bullish or bearish alignment across 40 major cryptocurrencies. By combining multi-asset Exponential Moving Average (EMA) comparisons and smoothing techniques, it offers a clean, aggregated view of the broader market trend—helping traders quickly assess whether the market is dominated by bullish momentum or bearish pressure.
The indicator works by calculating in the following steps:
Symbol Selection and Data Retrieval
The script monitors 40 leading cryptocurrencies based on Market Cap. Each asset’s daily close price is requested using a 1D timeframe. This ensures that every data point reflects the same temporal resolution, allowing the indicator to evaluate global crypto strength rather than individual token volatility.
EMA Comparison per Asset
For each asset, two Exponential Moving Averages (EMAs) are calculated:
A short-term EMA with period emalength (default 10).
A long-term EMA with period emalength2 (default 20).
Each coin receives a score of +1 when the short-term EMA is greater than the long-term EMA (indicating bullish structure), or -1 when it is below (indicating bearish structure). This binary scoring system effectively converts individual price action into a directional sentiment measure.
Market Breadth Aggregation
All 40 individual scores are summed into a single composite value called scores .
If many assets have bullish EMA alignment, the total score becomes strongly positive.
If the majority show bearish alignment, the total score turns negative.
This step transforms scattered price data into one unified market breadth metric—quantifying how many assets participate in the same directional trend.
Smoothing the Breadth Line
To reduce short-term noise and isolate trend direction, the aggregated score is smoothed using an EMA of length = smoothlen (default 15). The resulting smoothed line helps identify sustained shifts in collective sentiment rather than temporary fluctuations.
Visualization and Color Coding
When scores > 0 , the market breadth is bullish and the histogram is colored blue.
When scores < 0 , the breadth turns bearish and the histogram is purple.
The same logic applies to the smoothed line and background color, offering an instant visual cue of market mood transitions.
Buy and Sell Conditions:
The indicator itself does not trigger direct buy/sell signals but rather acts as a market regime filter . Traders can use it as follows:
Buy Filter: When the smoothed value is above zero and rising, the majority of assets confirm an uptrend — this favors long setups or trend continuation entries.
Sell Filter: When the smoothed value is below zero and falling, bearish alignment dominates — ideal for short setups or defensive risk management.
Optional filters could include combining this with RSI or volume-weighted momentum indicators to confirm breadth-based reversals.
Features and Parameters:
emalength – Defines the short-term EMA length used for individual asset trend detection (default 10).
emalength2 – Defines the long-term EMA length (default 20).
smoothlen – Defines the smoothing EMA length for the total market breadth line (default 15).
40 asset inputs – User-editable symbols allow full customization of which cryptos are tracked.
Dynamic color backgrounds – Visual distinction between bullish and bearish phases.
Specifications:
Exponential Moving Average (EMA)
EMA is a type of moving average that places more weight on recent price data, responding faster to market changes compared to SMA. By comparing a short-term and long-term EMA, the indicator captures momentum shifts across each asset individually. The crossover logic (EMA10 > EMA20) signals bullish conditions, while the opposite indicates bearish momentum.
Market Breadth
Market Breadth quantifies how many assets are participating in a directional move. Instead of tracking a single coin’s trend, breadth analysis measures collective sentiment. When most coins’ short-term EMAs are above long-term EMAs, the market shows healthy bullish breadth. Conversely, when most are below, weakness dominates.
Smoothing (EMA on Scores)
After summing the breadth score, the result is smoothed with an additional EMA to mitigate the inherent volatility caused by individual coin reversals. This second-level smoothing transforms raw fluctuations into a readable, trend-consistent curve.
Color Visualization
Visual cues are integral for intuitive interpretation.
Blue Shades: Indicate bullish alignment and collective upward momentum.
Purple Shades: Indicate bearish conditions and potential risk-off phases.
The background tint reinforces visual clarity even when the indicator is overlaid on price charts.
Background Logic
By applying the same color logic to the chart’s background, users can instantly recognize the prevailing market phase.
Use Cases
As a trend confirmation filter for other indicators (e.g., trade only in the direction of positive breadth).
As a divergence tool : when price rises but breadth weakens, it may signal a topping market.
As a macro sentiment monitor : perfect for assessing when the crypto market as a whole transitions from bearish to bullish structure.
Summary
“ Market Breadth - ” transforms the chaotic price movements of 40 cryptocurrencies into a single, powerful visual representation of overall market health. By merging EMA cross analysis with market-wide aggregation and smoothing , it provides traders with a deep understanding of when bullish or bearish forces dominate the ecosystem.
It’s a clean, data-driven approach to identifying shifts in crypto market sentiment — a perfect companion for trend-following, macro analysis, and timing portfolio exposure.
Enjoy!
Stochastic + Bollinger Bands Multi-Timeframe StrategyThis strategy fuses the Stochastic Oscillator from the 4-hour timeframe with Bollinger Bands from the 1-hour timeframe, operating on a 10-hour chart to capture a unique volatility rhythm and temporal alignment discovered through observational alpha.
By blending momentum confirmation from the higher timeframe with short-term volatility extremes, the strategy leverages what some traders refer to as “rotating volatility” — a phenomenon where multi-timeframe oscillations sync to reveal hidden trade opportunities.
🧠 Strategy Logic
✅ Long Entry Condition:
Stochastic on the 4H timeframe:
%K crosses above %D
Both %K and %D are below 20 (oversold zone)
Bollinger Bands on the 1H timeframe:
Price crosses above the lower Bollinger Band, indicating a potential reversal
→ A long trade is opened when both momentum recovery and volatility reversion align.
✅ Long Exit Condition:
Stochastic on the 4H:
%K crosses below %D
Both %K and %D are above 80 (overbought zone)
Bollinger Bands on the 1H:
Price reaches or exceeds the upper Bollinger Band, suggesting exhaustion
→ The long trade is closed when either signal suggests a potential reversal or overextension.
🧬 Temporal Structure & Alpha
This strategy is deployed on a 10-hour chart — a non-standard timeframe that may align more effectively with multi-timeframe mean reversion dynamics.
This subtle adjustment exploits what some traders identify as “temporal drift” — the desynchronization of volatility across timeframes that creates hidden rhythm in price action.
→ For example, Stochastic on 4H (lookback 17) and Bollinger Bands on 1H (lookback 20) may periodically sync around 10H intervals, offering unique alpha windows.
📊 Indicator Components
🔹 Stochastic Oscillator (4H, Length 17)
Detects momentum reversals using %K and %D crossovers
Helps define overbought/oversold zones from a mid-term view
🔹 Bollinger Bands (1H, Length 20, ±2 StdDev)
Measures price volatility using standard deviation around a moving average
Entry occurs near lower band (support), exits near upper band (resistance)
🔹 Multi-Timeframe Logic
Uses request.security() to safely reference 4H and 1H indicators from a 10H chart
Avoids repainting by using closed higher-timeframe candles only
📈 Visualization
A plot selector input allows toggling between:
Stochastic Plot (%K & %D, with overbought/oversold levels)
Bollinger Bands Plot (Upper, Basis, Lower from 1H data)
This helps users visually confirm entry/exit triggers in real time.
🛠 Customization
Fully configurable Stochastic and BB settings
Timeframes are independently adjustable
Strategy settings like position sizing, slippage, and commission are editable
⚠️ Disclaimer
This strategy is intended for educational and informational purposes only.
It does not constitute financial advice or a recommendation to buy or sell any asset.
Market conditions vary, and past performance does not guarantee future results.
Always test any trading strategy in a simulated environment and consult a licensed financial advisor before making real-world investment decisions.
Quasimodo Pattern Strategy Back Test [TradingFinder] QM Trading🔵 Introduction
The QM pattern, also known as the Quasimodo pattern, is one of the popular patterns in price action, and it is often used by technical analysts. The QM pattern is used to identify trend reversals and provides a very good risk-to-reward ratio. One of the advantages of the QM pattern is its high frequency and visibility in charts.
Additionally, due to its strength, it is highly profitable, and as mentioned, its risk-to-reward ratio is very good. The QM pattern is highly popular among traders in supply and demand, and traders also use this pattern.
The Price Action QM pattern, like other Price Action patterns, has two types: Bullish QM and Bearish QM patterns. To identify this pattern, you need to be familiar with its types to recognize it.
🔵 Identifying the QM Pattern
🟣 Bullish QM
In the bullish QM pattern, as you can see in the image below, an LL and HH are formed. As you can see, the neckline is marked as a dashed line. When the price reaches this range, it will start its upward movement.
🟣 Bearish QM
The Price Action QM pattern also has a bearish pattern. As you can see in the image below, initially, an HH and LL are formed. The neckline in this image is the dashed line, and when the LL is formed, the price reaches this neckline. However, it cannot pass it, and the downward trend resumes.
🔵 How to Use
The Quasimodo pattern is one of the clearest structures used to identify market reversals. It is built around the concept of a structural break followed by a pullback into an area of trapped liquidity. Instead of relying on lagging indicators, this pattern focuses purely on price action and how the market reacts after exhausting one side of liquidity. When understood correctly, it provides traders with precise entry points at the transition between trend phases.
🟣 Bullish Quasimodo
A bullish Quasimodo forms after a clear downtrend when sellers start losing control. The market continues to make lower lows until a sudden higher high appears, signaling that buyers are entering with strength. Price then pulls back to retest the previous low, creating what is known as the Quasimodo low.
This area often becomes the final trap for sellers before the market shifts upward. A visible rejection or displacement from this zone confirms bullish momentum. Traders usually place entries near this level, stops below the low, and targets at previous highs or the next resistance zone. Combining the setup with demand zones or Fair Value Gaps increases its accuracy.
🟣 Bearish Quasimodo
A bearish Quasimodo forms near the top of an uptrend when buyers begin to lose strength. The market continues to make higher highs until a sudden lower low breaks the bullish structure, showing that selling pressure is entering the market. Price then retraces upward to retest the previous high, forming the Quasimodo high, where breakout buyers are often trapped.
Once rejection appears at this level, it indicates a likely reversal. Traders can enter short near this area, with stop-losses placed above the high and targets near the next support or previous lows. The setup gains more reliability when aligned with supply zones, SMT divergence, or bearish Fair Value Gaps.
🔵 Setting
Pivot Period : You can use this parameter to use your desired period to identify the QM pattern. By default, this parameter is set to the number 5.
Take Profit Mode : You can choose your desired Take Profit in three ways. Based on the logic of the QM strategy, you can select two Take Profit levels, TP1 and TP2. You can also choose your take profit based on the Reward to Risk ratio. You must enter your desired R/R in the Reward to Risk Ratio parameter.
Stop Loss Refine : The loss limit of the QM strategy is based on its logic on the Head pattern. You can refine it using the ATR Refine option to prevent Stop Hunt. You can enter your desired coefficient in the Stop Loss ATR Adjustment Coefficient parameter.
Reward to Risk Ratio : If you set Take Profit Mode to R/R, you must enter your desired R/R here. For example, if your loss limit is 10 pips and you set R/R to 2, your take profit will be reached when the price is 20 pips away from your entry point.
Stop Loss ATR Adjustment Coefficient : If you set Stop Loss Refine to ATR Refine, you must adjust your loss limit coefficient here. For example, if your buy position's loss limit is at the price of 1000, and your ATR is 10, if you set Stop Loss ATR Adjustment Coefficient to 2, your loss limit will be at the price of 980.
Entry Level Validity : Determines how long the Entry level remains valid. The higher the level, the longer the entry level will remain valid. By default it is 2 and it can be set between 2 and 15.
🔵 Results
The following examples show the backtest results of the Quasimodo (QM) strategy in action. Each image is based on specific settings for the symbol, timeframe, and input parameters, illustrating how the QM logic can generate signals under different market conditions. The detailed configuration for each backtest is also displayed on the image.
⚠ Important Note : Even with identical settings and the same symbol, results may vary slightly across different brokers due to data feed variations and pricing differences.
Default Properties of Backtests :
OANDA:XAUUSD | TimeFrame: 5min | Duration: 1 Year :
BINANCE:BTCUSD | TimeFrame: 5min | Duration: 1 Year :
CAPITALCOM:US30 | TimeFrame: 5min | Duration: 1 Year :
NASDAQ:QQQ | TimeFrame: 5min | Duration: 5 Year :
OANDA:EURUSD | TimeFrame: 5min | Duration: 5 Year :
PEPPERSTONE:US500 | TimeFrame: 5min | Duration: 5 Year :
FVG ATRFVG ATR — Fair Value Gap Size Measured in ATR Units
This Pine Script v6 indicator detects Fair Value Gaps and displays their size as a ratio of the Average True Range, providing traders with a normalized measurement of gap significance across different market conditions and timeframes.
Key Features
Automatic FVG Detection
The indicator identifies bullish and bearish Fair Value Gaps using the standard three-candle pattern. Bullish FVGs occur when the current low exceeds the high from two bars ago, while bearish FVGs occur when the current high falls below the low from two bars ago.
ATR Ratio Calculation
Each detected FVG is measured against the current Average True Range at the moment of detection. The ratio is displayed as a compact label next to the gap, showing values like "ATR: 0.75" or "ATR: 1.41". This normalization allows comparison of gap significance across volatile and calm market periods.
Minimal Visual Footprint
Labels are displayed directly on the chart without boxes or lines, using customizable text sizes from tiny to large. The default tiny size ensures the chart remains uncluttered while providing essential information at a glance.
Highly Customizable Display
All visual aspects are configurable through input parameters, including label position (top, middle, or bottom of gap), text size, text color, optional background, and horizontal offset from the detection candle.
Customizable Parameters
Detection Settings
Detect Bullish FVG: Enable or disable detection of bullish gaps. Default is enabled.
Detect Bearish FVG: Enable or disable detection of bearish gaps. Default is enabled.
Min Size (pips): Filter out small gaps below the specified threshold. One pip equals 10 ticks for most Forex pairs. Default is 10 pips.
ATR Calculation
ATR Period: Period length for Average True Range calculation. Default is 14, adjustable to match your trading strategy.
Label Settings
Label Position: Vertical placement of the text label relative to the FVG zone. Options are Top, Middle, or Bottom. Default is Middle.
Label Size: Text size from Tiny (smallest), Small, Normal, to Large. Default is Tiny for minimal chart clutter.
Text Color: Custom color for label text. Default is white for visibility on dark themes.
Show Background: Toggle to display labels with a colored background box or as transparent text only. Default is disabled for cleaner appearance.
Background Color: Custom color for label background when enabled. Default is semi-transparent gray.
Label Offset (bars): Horizontal distance in bars between the detection candle and the label. Set to 0 for labels directly on the candle, or increase for separation. Default is 0.
Recommended Use Cases
Multi-Timeframe Analysis
Compare FVG significance across different timeframes by observing ATR ratios. A 1.5 ATR gap on the 1-hour chart may indicate different significance than the same ratio on the daily chart.
Volatility-Adjusted Trading
Use ATR ratios to filter for only the most significant gaps. For example, only trade FVGs with ratios above 1.0 to focus on gaps larger than typical price movement.
Risk Management
Size positions based on gap magnitude relative to current volatility. Larger ATR ratios may warrant tighter stops or smaller position sizes.
Market Efficiency Analysis
Track how quickly and completely different-sized gaps get filled. Gaps with higher ATR ratios may take longer to fill or act as stronger support and resistance zones.
Technical Details
This indicator is written in Pine Script v6 and follows all recommended coding standards including strict 4-space indentation, lazy boolean evaluation, and proper type declarations. The script uses array-based storage to maintain up to 500 labels simultaneously.
The ATR ratio is calculated at the moment of FVG detection and remains fixed, never repainting. The calculation divides the FVG height (distance between gap boundaries) by the current ATR value using the specified period. Division by zero is protected with conditional logic.
Label positioning uses the xloc.bar_index and yloc.price system for precise placement. The horizontal offset parameter allows traders to adjust label spacing based on chart zoom level and personal preference. Text formatting uses str.tostring with two decimal places for clear ratio display.
Important Notes
The indicator never repaints as all FVG detections and ATR calculations are fixed upon bar confirmation. Labels persist on the chart until the maximum label count is reached, at which point the oldest labels are automatically removed by TradingView.
For optimal performance on charts with many FVGs, consider increasing the minimum pip size filter or using smaller label sizes. The tiny size option provides the smallest possible text for maximum chart clarity.
Installation and Usage
Copy the source code into the TradingView Pine Editor and add the indicator to your chart. The overlay parameter is set to true, allowing labels to display directly on price candles. Configure all parameters through the indicator settings panel to match your trading style and visual preferences.
100% Pine Script v6 indicator — No repaint — Open source
Force DashboardScalping Dashboard - Complete User Guide
Overview
This scalping system consists of two complementary TradingView indicators designed for intraday trading with no overnight holds:
Force Dashboard - Single-row table showing real-time market bias and entry signals
Large Order Detection - Visual diamonds showing institutional order flow
Together, they provide a complete at-a-glance view of market conditions optimized for quick entries and exits.
Recommended Timeframes
Primary Scalping Timeframes
1-minute chart: Ultra-fast scalps (30 seconds - 3 minutes hold time)
2-minute chart: Quick scalps (2-5 minutes hold time)
5-minute chart: Standard scalps (5-15 minutes hold time)
Best Practices
Use 1-2 minute for highly liquid instruments (ES, NQ, major forex pairs)
Use 5-minute for less liquid markets or if you prefer fewer signals
Never hold past the last hour of trading to avoid overnight risk
Set hard stop times (e.g., exit all positions by 3:45 PM EST)
Dashboard Components Explained
Core Indicators (Circles ●)
MACD (5/13/5)
Green ● = Bullish momentum (MACD histogram positive)
Red ● = Bearish momentum (MACD histogram negative)
Gray ● = No clear momentum
Use: Confirms trend direction and momentum shifts
EMA (9/20/50)
Green ● = Price > EMA9 > EMA20 (uptrend)
Red ● = Price < EMA9 < EMA20 (downtrend)
Gray ● = Choppy/sideways
Use: Identifies the immediate micro-trend
Stoch (5-period Stochastic)
Green ● = Oversold (<20) - potential reversal up
Red ● = Overbought (>80) - potential reversal down
Gray ● = Neutral zone (20-80)
Use: Spots reversal opportunities at extremes
RSI (7-period)
Green ● = Oversold (<30)
Red ● = Overbought (>70)
Gray ● = Neutral
Use: Confirms overbought/oversold conditions
CVD (Cumulative Volume Delta)
Green ● = CVD above its moving average (buying pressure)
Red ● = CVD below its moving average (selling pressure)
Gray ● = Neutral
Use: Shows overall buying vs selling pressure
ΔCVD (Delta CVD - Rate of Change)
Green ● = CVD accelerating upward (buying acceleration)
Red ● = CVD accelerating downward (selling acceleration)
Gray ● = No acceleration
Use: Detects momentum shifts in order flow
Imbal (Order Flow Imbalance)
Green ● = Buy pressure >2x sell pressure
Red ● = Sell pressure >2x buy pressure
Gray ● = Balanced
Use: Identifies extreme one-sided order flow
Vol (Volume Strength)
Green ● = Volume >1.5x average (strong interest)
Red ● = Volume <0.7x average (low interest)
Gray ● = Normal volume
Yellow background = Volume surge (>2x average) - BIG MOVE ALERT
Use: Confirms conviction behind price moves
Tape (Tape Speed)
Green ● = Fast order flow (>1.3x normal)
Red ● = Slow order flow (<0.7x normal)
Gray ● = Normal speed
Yellow background = Very fast tape (>1.5x) - RAPID EXECUTION ALERT
Use: Measures urgency and speed of orders
Key Levels
Support (Supp)
Shows the nearest high-volume support level below current price
Bright Green background = Price is AT support (within 0.3%) - BOUNCE ZONE
Green background = Price above support (healthy)
Red background = Price below support (broken support, now resistance)
Resistance (Res)
Shows the nearest high-volume resistance level above current price
Bright Orange background = Price is AT resistance (within 0.3%) - REJECTION ZONE
Red background = Price below resistance (facing overhead supply)
Green background = Price above resistance (breakout)
These levels update automatically every 3 bars based on volume profile
Entry Signal Components
Score
Displays format: "6L" (6 long indicators) or "4S" (4 short indicators)
Bright Green = 6-7 indicators aligned for long
Light Green = 5 indicators aligned for long
Yellow = 4 indicators aligned (weaker setup)
Gray = No alignment
Red/Orange colors = Same scale for short setups
Score of 5+ indicates high-probability setup
SCALP (Main Entry Signal)
BRIGHT GREEN "LONG" = High-quality long scalp (Score 5+)
Green "LONG" = Decent long scalp (Score 4)
BRIGHT ORANGE "SHORT" = High-quality short scalp (Score 5+)
Red "SHORT" = Decent short scalp (Score 4)
Gray "WAIT" = No clear setup - STAY OUT
Entry Strategies
Strategy 1: High-Probability Scalps (Conservative)
When to Enter:
SCALP column shows BRIGHT GREEN "LONG" or BRIGHT ORANGE "SHORT"
Score is 5 or higher
Vol or Tape has yellow background (volume surge)
Example Long Setup:
SCALP = BRIGHT GREEN "LONG"
Score = 6L
Vol = Yellow background
Price AT Support (bright green Supp cell)
EMA, MACD, CVD, ΔCVD, Imbal all green
Entry: Enter immediately on next candle
Target: 0.5-1% move or resistance level
Stop: Below support or -0.3%
Hold Time: 2-10 minutes
Strategy 2: Momentum Scalps (Aggressive)
When to Enter:
Tape has yellow background (fast tape)
Vol has yellow background (volume surge)
ΔCVD is green (for longs) or red (for shorts)
Imbal shows strong imbalance in your direction
Score is 4+
Example Short Setup:
Tape & Vol = Yellow backgrounds
ΔCVD = Red, Imbal = Red
Price AT Resistance (bright orange)
Score = 5S
Entry: Enter immediately
Target: Quick 0.3-0.7% move
Stop: Tight -0.2%
Hold Time: 1-5 minutes
Strategy 3: Reversal Scalps (Mean Reversion)
When to Enter:
Stoch shows oversold (green) or overbought (red)
RSI confirms the extreme
Price is AT Support (for longs) or AT Resistance (for shorts)
ΔCVD and Imbal start reversing direction
Score is 4+
Example Long Setup:
Stoch = Green (oversold)
RSI = Green (oversold)
Supp = Bright green (at support)
ΔCVD turns green
Imbal turns green
Score = 4L or 5L
Entry: Wait for confirmation candle
Target: Move back to EMA9 or mid-range
Stop: Below the low
Hold Time: 3-8 minutes
Large Order Detection Usage
Diamond Signals
Green diamonds below bar = Large buy orders (institutional buying)
Red diamonds above bar = Large sell orders (institutional selling)
Size matters: Larger diamonds = larger order flow
How to Use with Dashboard
Confirmation Entries
Dashboard shows "LONG" signal
Green diamond appears
Enter immediately - institutions are buying
Divergence Alerts (CAUTION)
Dashboard shows "LONG" signal
RED diamond appears (institutions selling)
DO NOT ENTER - conflicting order flow
Cluster Patterns
Multiple green diamonds in row = Strong accumulation, stay long
Multiple red diamonds in row = Strong distribution, stay short
Alternating colors = Chop, avoid trading
Risk Management Rules
Position Sizing
Risk 0.5-1% of account per scalp
Maximum 3 concurrent positions
Reduce size after 2 consecutive losses
Stop Loss Guidelines
Tight stops: 0.2-0.3% for 1-2 min charts
Standard stops: 0.3-0.5% for 5 min charts
Always use stop loss - no exceptions
Place stops below support (longs) or above resistance (shorts)
Take Profit Targets
Target 1: 0.3-0.5% (take 50% off)
Target 2: 0.7-1% (take remaining 50%)
Move stop to breakeven after Target 1 hit
Trail stop if Score remains high
Time-Based Exits
Exit immediately if:
SCALP changes from LONG/SHORT to WAIT
Score drops below 3
Large diamond appears in opposite direction
Maximum hold time: 15 minutes (even if profitable)
Hard exit time: 30 minutes before market close
Trading Sessions
Best Times to Scalp
High-Liquidity Sessions
9:30-11:00 AM EST (Market open, highest volume)
2:00-3:30 PM EST (Afternoon session, good moves)
Avoid
11:30 AM-1:30 PM EST (Lunch, low volume)
Last 30 minutes (unpredictable, don't initiate new trades)
News releases (wait 5 minutes for volatility to settle)
Common Patterns & Setups
The Perfect Storm (Highest Probability)
Score = 6L or 7L
SCALP = BRIGHT GREEN
Vol + Tape = Yellow backgrounds
Green diamond appears
Price AT Support
Win rate: ~70-80%
The Fade Setup (Counter-Trend)
Price hits resistance (bright orange)
Stoch + RSI overbought (red)
Red diamond appears
CVD starts turning red
SCALP shows "SHORT"
Win rate: ~60-70%
The Breakout Continuation
Price breaks resistance (Res turns green)
EMA, MACD green
Vol surge (yellow)
Multiple green diamonds
SCALP = "LONG"
Win rate: ~65-75%
Warning Signs - DO NOT TRADE
Red Flags
❌ SCALP shows "WAIT"
❌ Score below 3
❌ Vol and Tape both gray (no volume)
❌ Conflicting signals (dashboard says LONG but red diamonds appearing)
❌ Alternating green/red circles (choppy market)
❌ Support and Resistance very close together (tight range)
Market Conditions to Avoid
Low volume periods
Major news releases (first 5 minutes after)
First 2 minutes after market open
Wide spreads
Consecutive losing trades (take a break after 2 losses)
Quick Reference Checklist
Before Taking ANY Trade:
☑ SCALP shows LONG or SHORT (not WAIT)
☑ Score is 4 or higher
☑ Vol or Tape shows activity
☑ No conflicting diamond signals
☑ Stop loss level identified
☑ Target profit level identified
☑ Not in restricted time periods
After Entering:
☑ Set stop loss immediately
☑ Set profit targets
☑ Watch SCALP column - exit if changes to WAIT
☑ Watch for opposite-colored diamonds
☑ Move stop to breakeven after first target
☑ Exit all by market close
Advanced Tips
Scalping Psychology
Be patient: Wait for Score 5+ setups
Be decisive: When signal appears, act immediately
Be disciplined: Follow your stop loss always
Be flexible: Exit quickly if dashboard reverses
Optimization
Backtest on your specific instrument
Adjust RSI/Stoch levels for your market
Fine-tune volume thresholds
Keep a trade journal to track which setups work best
Multi-Timeframe Confirmation
Use 5-min dashboard as "trend filter"
Take 1-min trades only in direction of 5-min SCALP signal
Increases win rate by ~10-15%
Troubleshooting
Q: Dashboard shows WAIT most of the time
Normal - scalping is about patience. Quality > Quantity
3-8 good setups per day is excellent
Q: Too many false signals
Increase minimum Score requirement to 5 or 6
Only trade with volume surge (yellow backgrounds)
Add large order detection confirmation
Q: Signals too slow
You may be on too high a timeframe
Try 1-minute chart for faster signals
Ensure real-time data feed is active
Q: Support/Resistance not updating
Normal - updates every 3 bars
If completely stuck, remove and re-add indicator
Summary
This scalping system works best when:
✅ Multiple indicators align (Score 5+)
✅ Volume and tape speed confirm the move
✅ Order flow (diamonds) confirms direction
✅ Price is at key levels (support/resistance)
✅ You manage risk strictly
✅ You exit before market close
The golden rule: When SCALP says WAIT, you WAIT. Discipline beats frequency.
ORB 30 Alerts (ATH)Overview
ATH ORB 30m automates the Opening Range Breakout (ORB) process across multiple global sessions — Tokyo, London, and New York — and delivers clean, consolidated alerts when fresh breakouts occur.
It’s built for traders who track several tickers and want precise, non-repeating signals that reflect genuine momentum shifts, not constant noise.
How it works
The script defines a 30-minute Opening Range (ORB) for each enabled session and plots its high, low, and midpoint levels.
Every 10-minute candle close is evaluated to detect first-time crosses of those range boundaries — upward or downward.
Once a breakout triggers, that side’s alert is disabled until price returns inside the range, where the system automatically re-arms.
Multiple triggers in the same bar are batched into one combined alert, listing all symbols that broke out.
A built-in debug panel and optional chart labels visualize each trigger and re-arm event in real time.
Key features
-Multi-session ORB logic (Tokyo, London, New York)
-10-minute confirmation filter to validate breakouts
-Automatic alert re-arming when price re-enters range
-Combined per-bar alert messages (no duplicates)
-Optional on-chart labels and debug diagnostics
-Optimized for watchlists and multi-symbol scanners
Usage
Designed for day traders and momentum scalpers, this tool highlights early directional strength during market opens.
Add it to your chart, enable your preferred sessions, and set alert conditions for “ORB Breakouts (BUY),” “ORB Breakdowns (SELL),” or "Any alert() function call" You’ll receive one concise message each bar showing exactly which symbols broke out and in which direction.
DISCLAIMER:
This script is for educational and informational purposes only.
It does not constitute financial advice or a recommendation to buy or sell any security.
Always perform your own due diligence and backtesting before using any trading strategy live.
Trading involves risk; past performance does not guarantee future results.
Fisher MPzFisher MPz - Multi-Period Z-Score Fisher Transform
Overview
An enhanced Fisher Transform that uses multi-period analysis and improved statistical methods to provide more reliable trading signals with the goal of fewer false positives.
Evolution Beyond Traditional Fisher Transform
While the classic Fisher Transform uses simple price normalization and basic smoothing, Fisher MPz introduces several key enhancements:
- Multi-period composite instead of single timeframe analysis
- Robust z-score normalization using median/MAD rather than mean/standard deviation
- Winsorization to handle outliers and price spikes
- Dynamic clipping that adapts to market volatility
- Kalman filtering for superior noise reduction vs. traditional EMA smoothing
These improvements result in cleaner signals, better adaptability to different market conditions, handles trending markets without over-saturation at extreme values, and reduced false signals compared to the standard Fisher Transform.
Key Features
Multi-Period Analysis
- Three Timeframe Approach: Simultaneously analyzes short (default 8), medium (default 13), and long (default 26) periods
- Weighted Composite: Combines all three periods using customizable weights for optimal signal generation
- Individual Period Display: Optional visualization of each period's Fisher Transform for deeper analysis
Advanced Statistical Methods
Robust Z-Score Calculation
- Uses median and MAD (Median Absolute Deviation) instead of mean and standard deviation
- More resistant to outliers and extreme price movements
- Provides stable normalization across varying market conditions
Winsorization
- Caps extreme price values at specified percentiles (default 5th and 95th)
- Reduces the impact of price spikes and anomalies
- Configurable lookback period for threshold calculation
Dynamic Z-Score Clipping
- Automatically adjusts clipping levels based on recent volatility
- Tighter bounds in calm markets (0.05) for precision
- Wider bounds in volatile markets (0.2) to capture significant moves
- Uses ATR-based volatility measurement
Kalman Filter Smoothing
- Optional advanced noise reduction using Kalman filtering
- Superior to traditional EMA smoothing for optimal signal extraction
- Configurable process noise (Q) and measurement noise (R) parameters
- Fallback to traditional smoothing factor available
How to Use
Basic Interpretation
- Above Zero: Bullish momentum
- Below Zero: Bearish momentum
- Extreme Values: Potential overbought/oversold conditions
- Crossovers: Entry/exit signals when composite crosses trigger line
Customizable Settings
Periods: Adjust based on your trading timeframe
- Lower values (3-10): More sensitive, suitable for scalping
- Medium values (10-20): Balanced for swing trading
- Higher values (20-50): Smoother for position trading
Weights: Customize responsiveness
- Increase short weight: More reactive to recent price changes
- Increase long weight: More stability and trend confirmation
Kalman Settings
- Lower Q (0.001-0.02): Smoother, more filtered signals
- Higher Q (0.02-0.1): More responsive to price changes
- Lower R (0.01-0.05): Trust data more, less filtering
- Higher R (0.1-1.0): More skeptical of data, more smoothing
Session SFPThis script is a powerful, multi-timeframe tool designed to identify high-probability Swing Failure Patterns (SFPs) at key historical levels.
Instead of looking for traditional "pivots" (like a 3-bar swing), this indicator finds the actual high and low of a previous higher-timeframe (HTF) bar (e.g., the previous weekly high/low) and waits for a lower-timeframe (LTF) candle to sweep that level and fail.
This allows you to spot liquidity sweeps and potential reversals at significant, structural price points.
How It Works
The indicator's logic is based on a simple, two-timeframe process:
Level Detection: First, it finds the high and low of the previous bar on your chosen "Level Timeframe" (e.g., W for Weekly, D for Daily). It plots these as small 'x' markers on your chart.
SFP Identification: Second, it watches price action on a lower "SFP Timeframe" (e.g., 240 for 4H). A potential SFP is identified when a candle's wick sweeps above a key high or below a key low.
Confirmation: The SFP is only confirmed after the SFP candle closes back below the high (for a bearish SFP) or above the low (for a bullish SFP). It then waits for a set number of "Confirmation Bars" to pass. If price does not close back over the level during this window, the signal is locked in, and a label is printed.
How to Use (Key Settings)
Level Timeframe (Most Important): This is the timeframe for the levels you want to trade. Set this to W to find SFPs of the previous weekly high/low. Set it to D to find SFPs of the previous daily high/low.
SFP Timeframe: This is the timeframe you want to use to find the SFP candle itself. This should be lower than your Level Timeframe (e.g., 240 or 60).
Level Lookback: This controls how many old levels the script will track. A value of 10 on a W Level Timeframe will track the highs and lows of the last 10 weeks.
Confirmation Bars: This is your "patience" filter. It's the number of SFP Timeframe bars that must close without reclaiming the level after the SFP. A value of 0 will confirm the SFP immediately on the candle's close.
Enable Wick % Filter: A quality filter. If checked, this ensures the SFP candle's rejection wick is a significant percentage of the candle's total range.
Chart Visuals
'x' Markers: These are the historical highs and lows from your "Level Timeframe". You can turn these on or off in the settings.
SFP Label: When an SFP is fully confirmed, a label (Bearish SFP or Bullish SFP) will appear, detailing the level that was swept and the timeframes used.
SFP Line: A solid horizontal line is drawn from the 'x' marker to the SFP candle to highlight the sweep.
Colored Boxes (Optional): If you are viewing a chart timeframe lower than your "SFP Timeframe", you can enable background boxes to highlight the exact SFP candle and its confirmation bars.
MACD Volume VWAP Scalping (2min) by Obiii📘 Strategy Description (for TradingView)
MACD Volume VWAP Scalping Strategy (2-Minute Intraday Momentum)
This strategy is designed for scalpers and short-term intraday traders who focus on capturing small, high-probability moves during the most active hours of the trading session — typically between 9:45 AM and 11:30 AM (New York time).
The system combines three key momentum confirmations:
MACD crossovers to detect short-term trend shifts,
Volume spikes to validate real market participation, and
VWAP / EMA alignment to filter trades in the direction of the prevailing intraday trend.
🔹 Entry Logic
Long Entry:
MACD line crosses above the signal line
Both MACD and Signal are above zero
Current volume > average of the last 10 candles
Price is above VWAP and (optionally) above EMA 9 and EMA 20
Short Entry:
MACD line crosses below the signal line
Both MACD and Signal are below zero
Current volume > average of the last 10 candles
Price is below VWAP and (optionally) below EMA 9 and EMA 20
🎯 Exit Logic
Fixed Take Profit: +0.25%
Fixed Stop Loss: -0.15% to -0.20%
Optionally, switch to the 5-minute chart after entry to monitor momentum and manage exits more smoothly.
⚙️ Recommended Settings
Timeframe: 2 minutes (entries), 5 minutes (monitoring)
Market Session: 9:45 AM – 11:30 AM EST
Assets: Highly liquid instruments such as SPY, QQQ, NVDA, TSLA, AAPL, or large-cap momentum stocks.
💡 Notes
This is a momentum-based scalping strategy — precision and discipline are key.
It performs best in high-volume environments where clear direction emerges after the morning volatility settles.
The system can be fine-tuned for different profit targets, MACD settings, or volume thresholds depending on volatility.
Trend & Strength Detector TSDTrend Strength Detector (TSD)
*Objective Trend Quality Measurement for Educational Market Analysis*
Note: This mathematical framework is a proprietary quantitative model developed by Ario Pinelab, inspired by classical EMA, ADX, RSI and MACD principles, yet not documented in any public technical or academic publication.
## 🎯 Purpose & Design Philosophy
The ** Trend Strength Detector- TSD ** is an educational research tool that provides **quantitative measurement of trend quality** through two independent scoring systems (0-100 scale). It answers the analytical question: *"How strong and aligned is the current market trend environment?"*
This indicator is designed with a **modular, complementary approach** to work alongside various analysis methodologies, particularly pattern-based recognition systems.
## 🔗 Complementary Research Framework
### Designed to Work With Pattern Detection Systems
This indicator provides **environmental context measurement** that complements qualitative pattern recognition tools. It works particularly well alongside systems like:
- **RMBS Smart Detector - Multi-Factor Momentum System**
- Traditional chart pattern analyzers
- Any momentum-based pattern identification tools
🔍 **To find RMBS Smart Detector:**
- Search in TradingView Indicators Library: `" RMBS Smart Detector - Multi-Factor Momentum System"`
- Look for: *Multi-Factor Momentum System*
- By author: ` `
### Why This Complementary Approach?
**Trend Quality Measurement** (TSD - this tool) provides:
- ✅ Structural trend alignment (0-100 score)
- ✅ Momentum intensity levels (0-100 score)
- ✅ Environment classification (Strong/Moderate/Weak)
- 📌 **Answers:** *"HOW STRONG is the underlying trend environment?"*
### Educational Research Value
When used together in a research context, these tools enable systematic study of questions like:
- How do reversal patterns behave when Strength Score is above 70 vs below 30?
- Do continuation patterns in weakening environments (declining scores) show different characteristics?
- What is the correlation between high Alignment Scores and pattern "success rates"?
- Can environment classification help identify genuine trend initiation vs false starts?
⚠️ **Important Note:** Both tools are **independent and work standalone**. TSD provides value whether used alone or with other analysis methods. The relationship with RMBS (or any pattern tool) is **complementary for research purposes**, not dependent.
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###Mathematical Foundation
##TSA Formula: scoring method developed by Ario
-Trend Model (0 – 100)
TAS = EMA Alignment (0–40) + Price Position (0–30) + Trend Consistency (0–30)
EMA Alignment checks EMA_fast vs EMA_slow vs EMA_trend structure.
Price Position evaluates if Close is above/below all EMAs.
Consistency = 3 × max(bullish,bearish bars within 10 candles).
-Strength Model (0 – 100)
Strength = ADX (0–50) + EMA Slope (0–25) + RSI (0–15) + MACD (0–10)
ADX measures trend energy; Slope shows EMA momentum %;
RSI assesses zone positioning; MACD confirms directional agreement.
Note: This formula represents a proprietary quantitative model by Ario_Pinelab, inspired by classical technical concepts but not published in any external reference.________________________________________
📊 Environment Classification
Based on Total Strength Score:
🟢 Strong Environment: Score ≥ 60
→ Well-defined momentum, clear directional bias
🟡 Moderate Environment: 40 ≤ Score < 60
→ Mixed signals, transitional conditions
🔴 Weak Environment: Score < 40
→ Ranging, choppy, low conviction movement
Color Coding:
• Green background: Strong (≥60)
• Yellow background: Moderate (40-59)
• Red background: Weak (<40)
________________________________________
📈 Visual Components
Main Chart Display
Score Labels (Top-Right Corner):
┌─────────────────────────────────┐
│ 📊 Alignment: 75 | Strength: 82 │
│ Environment: Strong 🟢 │
└─────────────────────────────────┘
Color-Coded Background:
• Environment strength visually indicated via background color
• Helps quick identification of market regime
• Customizable transparency (default: 90%)
Reference Lines:
• Dotted line at 60: Strong/Moderate threshold
• Dotted line at 40: Moderate/Weak threshold
• Mid-line at 50: Neutral reference
________________________________________
🔧 Customization Settings
Input Parameters
The best setting is the default mode.
🚫 Important Disclaimers & Limitations
What This Indicator IS:
✅ Educational measurement tool for trend quality research
✅ Quantitative assessment of current market environment
✅ Complementary analysis tool for pattern-based systems
✅ Historical data analyzer for systematic study
✅ Multi-factor scoring system based on technical calculations
What This Indicator IS NOT:
❌ NOT a trading system or signal generator
❌ NOT financial advice or trade recommendations
❌ NOT predictive of future price movements
❌ NOT a guarantee of pattern success/failure
❌ NOT a substitute for comprehensive risk management
________________________________________
Known Limitations
1. Lagging Nature:
⚠️ All components (EMA, ADX, RSI, MACD) are calculated
from historical price data
→ Scores reflect CURRENT and RECENT conditions
→ Cannot predict sudden reversals or black swan events
→ Trend measurements lag actual price turning points
2. Whipsaw Risk:
⚠️ In choppy/ranging markets, scores may fluctuate rapidly
→ Moderate zone (40-60) can see frequent transitions
→ Low timeframes more susceptible to noise
→ Consider higher timeframes for stable measurements
3. Component Conflicts:
⚠️ Individual components may disagree
→ Example: Strong ADX but weak RSI alignment
→ Scores average these conflicts (may hide nuance)
→ Check individual components for deeper insight
4. Not Predictive:
⚠️ High scores do NOT guarantee continuation
⚠️ Low scores do NOT guarantee reversal
→ Measurement ≠ Prediction
→ Use for CONTEXT, not SIGNALS
→ Combine with comprehensive analysis
________________________________________
Risk Acknowledgments
Market Risk:
• All trading involves substantial risk of loss
• Past performance (even systematic studies) does not guarantee future results
• No indicator, system, or methodology can eliminate market risk
Measurement Limitations:
• Scores are mathematical calculations, not market predictions
• Environmental classification is descriptive, not prescriptive
• Strong measurements can deteriorate rapidly without warning
Educational Purpose:
• This tool is designed for LEARNING about market structure
• Not designed, tested, or validated as a standalone trading system
• Any trading decisions are user’s sole responsibility
No Warranty:
• Indicator provided “as-is” for educational purposes
• No guarantee of accuracy, reliability, or profitability
• Users must verify calculations and apply critical thinking
Open Source
Full Pine Script code available for educational study and modification. Feedback and improvement suggestions welcome.
“All logic is presented for research and educational visualization.”
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Volume growthVolume Spike vs Previous Day
Description:
This indicator highlights moments of unusually high trading activity by comparing the current bar’s volume to the previous one.
Whenever the current volume exceeds the previous bar’s volume by a specified multiple, the candle is highlighted, and a visual marker appears on the chart.
It’s a simple yet powerful tool to instantly spot sudden spikes in market participation — often signaling key moments of accumulation, distribution, or breaking news activity.
How it works:
Compares the current volume to the previous bar’s volume.
If the increase exceeds your chosen multiplier (for example, 10×), the bar is highlighted.
A green “VOL↑” marker is displayed below the bar for quick visual recognition.
Optional alert conditions allow you to get notified whenever a spike occurs.
Inputs:
Multiplier — sets how many times larger the current volume must be compared to the previous one (default: 10).
Best for:
Spotting sudden surges in interest or liquidity.
Identifying potential breakout or reversal zones.
Works on any asset and any timeframe.
Indicator Overview主力籌碼預判買賣力道 (JUMBO)Pro+ 2.0主力預判買賣力道 Pro+ 是一個先進的多維度交易分析系統，專為台灣股市投資者設計。本指標整合了趨勢、成交量、動量、價格位置和波動率五大維度，通過加權評分系統生成綜合的「Power指標」，精準預判主力資金動向。
🔧 核心技術架構
1. 多維度評分系統
趨勢維度 (30%)：雙EMA系統 + MACD + ADX趨勢強度
成交量維度 (25%)：OBV能量潮 + 成交量比率分析
動量維度 (20%)：RSI + MFI資金流量指標
價格位置維度 (20%)：VWAP + 布林通道位置分析
波動率維度 (5%)：ATR波動率調整
2. 多重確認機制
趨勢確認：EMA金叉/死叉 + 超級趨勢方向
成交量確認：成交量脈衝檢測 + OBV趨勢確認
動量確認：RSI超買超賣 + MFI資金流向
位置確認：布林通道位置 + VWAP相對位置
📊 主要功能特色
訊號系統
主力佈局訊號 🟥
趨勢多頭確認 + Power > 35
成交量放大 + 動量指標多頭
RSI未超買 + 價格突破基準
主力出貨訊號 🟩
趨勢空頭確認 + Power < -35
成交量異常 + 動量指標空頭
RSI未超賣 + 價格跌破基準
Power交叉訊號 🟠🔵
黃金交叉：Power線向上穿越Power MA線
死亡交叉：Power線向下穿越Power MA線
視覺化系統
台灣股市顏色標準：紅色上漲/多頭，綠色下跌/空頭
多層級K線著色：強力訊號→普通訊號→偏多偏空→盤整
智能資訊面板：實時顯示8大關鍵指標狀態
⚙️ 參數設定說明
主要參數
EMA週期：13/55（短期/長期）
Power閾值：35（靈敏度調整）
成交量濾波：1.2倍（異常成交量檢測）
超級趨勢：10週期/3倍數（趨勢過濾）
進階參數
布林通道：20週期/2倍標準差
波動率設定：14週期ATR
動量指標：14週期RSI/MFI
🎯 交易應用策略
進場時機
強力買入：🔥標記 + Power黃金交叉
常規買入：紅色向上箭頭 + Power > 35
確認買入：多重條件同時滿足
出場時機
強力賣出：💧標記 + Power死亡交叉
常規賣出：綠色向下箭頭 + Power < -35
風險控制：趨勢反轉 + 動量減弱
風險管理
止損設定：ATR波動率參考
倉位控制：Power數值強度分級
訊號過濾：ADX趨勢強度確認
📈 指標優勢
高準確率：多重條件過濾，減少假訊號
及時性：領先指標預判主力動向
完整性：涵蓋技術分析主要維度
用戶友好：直觀的視覺化設計
自定義：參數可調適應不同交易風格
🎯 Indicator Overview
Main Force Prediction Buying/Selling Strength Pro+ is an advanced multi-dimensional trading analysis system specifically designed for Taiwan stock market investors. This indicator integrates five key dimensions: trend, volume, momentum, price position, and volatility, generating a comprehensive "Power Indicator" through a weighted scoring system to accurately predict institutional fund movements.
🔧 Core Technical Architecture
1. Multi-Dimensional Scoring System
Trend Dimension (30%): Dual EMA system + MACD + ADX trend strength
Volume Dimension (25%): OBV accumulation + Volume ratio analysis
Momentum Dimension (20%): RSI + MFI money flow index
Price Position Dimension (20%): VWAP + Bollinger Bands position analysis
Volatility Dimension (5%): ATR volatility adjustment
2. Multi-Confirmation Mechanism
Trend Confirmation: EMA golden/death cross + SuperTrend direction
Volume Confirmation: Volume spike detection + OBV trend confirmation
Momentum Confirmation: RSI overbought/oversold + MFI money flow
Position Confirmation: Bollinger Bands position + VWAP relative position
📊 Key Features
Signal System
Institutional Accumulation Signals 🟥
Bullish trend confirmation + Power > 35
Volume expansion + Momentum indicators bullish
RSI not overbought + Price breakthrough baseline
Institutional Distribution Signals 🟩
Bearish trend confirmation + Power < -35
Abnormal volume + Momentum indicators bearish
RSI not oversold + Price breakdown below baseline
Power Cross Signals 🟠🔵
Golden Cross: Power line crosses above Power MA line
Death Cross: Power line crosses below Power MA line
Visualization System
Taiwan Market Color Standard: Red for uptrend/bullish, Green for downtrend/bearish
Multi-level Candlestick Coloring: Strong signals → Regular signals → Bias signals → Consolidation
Smart Info Panel: Real-time display of 8 key indicator statuses
⚙️ Parameter Settings
Main Parameters
EMA Periods: 13/55 (Short-term/Long-term)
Power Threshold: 35 (Sensitivity adjustment)
Volume Filter: 1.2x (Abnormal volume detection)
SuperTrend: 10 period/3 multiplier (Trend filtering)
Advanced Parameters
Bollinger Bands: 20 period/2 standard deviations
Volatility Settings: 14 period ATR
Momentum Indicators: 14 period RSI/MFI
🎯 Trading Application Strategies
Entry Timing
Strong Buy: 🔥 Mark + Power Golden Cross
Regular Buy: Red upward arrow + Power > 35
Confirmed Buy: Multiple conditions simultaneously met
Exit Timing
Strong Sell: 💧 Mark + Power Death Cross
Regular Sell: Green downward arrow + Power < -35
Risk Control: Trend reversal + Momentum weakening
Risk Management
Stop Loss Setting: ATR volatility reference
Position Sizing: Power value strength grading
Signal Filtering: ADX trend strength confirmation
📈 Indicator Advantages
High Accuracy: Multiple condition filtering reduces false signals
Timeliness: Leading indicators predict institutional movements
Completeness: Covers main dimensions of technical analysis
User-Friendly: Intuitive visualization design
Customizable: Adjustable parameters adapt to different trading styles
🔍 Professional Usage Tips
Trend Confirmation: Use in conjunction with major trend direction
Volume Validation: Ensure volume confirms price movements
Risk Management: Always use appropriate position sizing
Timeframe Analysis: Apply across multiple timeframes for confirmation
Market Context: Consider overall market conditions and sector rotation
版本: Pro+ 2.0
適用市場: 台股、亞股、全球股市
最佳時間框架: 日線、4小時線、1小時線
開發者: JUMBO Trading System
更新日期: 2025版本
Elliott Wave Expert AdvisorElliott Wave Expert Advisor - Professional Wave Analysis Tool
OVERVIEW
--------
The Elliott Wave Expert Advisor is a comprehensive Pine Script indicator designed for TradingView that automates Elliott Wave analysis and generates high-probability trading signals. Built on Ralph Nelson Elliott's Wave Principle, this indicator identifies impulse wave patterns, validates them against strict Elliott Wave rules, and provides precise entry points with calculated risk management levels.
CORE FUNCTIONALITY
------------------
1. TREND DETECTION
- Dual Moving Average system (Fast/Slow MA)
- MACD confirmation for trend strength
- Automatic trend classification (Uptrend/Downtrend/Sideways)
- Only generates signals aligned with main trend
2. SWING POINT DETECTION
- Automatic pivot high/low identification
- Configurable sensitivity (lookback periods)
- Minimum swing size filtering to reduce noise
- ZigZag visualization connecting swing points
3. WAVE IDENTIFICATION
- 5-wave impulse pattern recognition (1-2-3-4-5)
- 3-wave corrective pattern detection (A-B-C)
- Wave labels displayed on chart
- Color-coded validation status (Blue = Valid, Orange = Pending)
4. ELLIOTT WAVE RULES VALIDATION
Strictly enforces three cardinal rules:
- Rule 1: Wave 2 never retraces more than 100% of Wave 1
- Rule 2: Wave 3 is never the shortest impulse wave
- Rule 3: Wave 4 never overlaps Wave 1 price territory
5. FIBONACCI ANALYSIS
- Automatic Fibonacci retracement calculations (23.6%, 38.2%, 50%, 61.8%, 78.6%)
- Fibonacci extension projections (100%, 161.8%, 261.8%)
- Wave 3 and Wave 5 target projections
- Fibonacci-based Take Profit levels
6. SIGNAL GENERATION
- Entry signals at Wave 2 completion (catch Wave 3)
- Entry signals at Wave 4 completion (catch Wave 5)
- Automatic Stop Loss placement below/above pivot points
- Multiple Take Profit targets (TP1 at 1.618 extension, TP2 at Wave 5 projection)
- Risk/Reward ratio calculation and filtering
- Minimum R:R threshold (default 1.5:1)
7. VISUAL ELEMENTS
- Pivot markers (H/L) showing swing highs and lows
- ZigZag lines connecting swing points
- Wave number labels (1-2-3-4-5) with validation colors
- Entry signal arrows (Green = BUY, Red = SELL)
- Stop Loss lines (Red dashed)
- Take Profit lines (Green dashed and dotted)
- Real-time status dashboard showing:
* Number of pivots detected
* Wave count progress (X/5)
* Pattern validation status
* Market trend direction
* Signal active status
* Helpful tips and guidance
OPTIMAL USAGE
-------------
• Timeframes: H1, H4, D1 (avoid M1-M5 due to noise)
• Markets: Forex majors (EUR/USD, GBP/USD), Gold (XAU/USD), Major Cryptocurrencies
• Market Conditions: Strong trending markets (avoid ranging/sideways conditions)
• Risk Management: Never risk more than 1-2% per trade
• Position Sizing: Based on calculated Stop Loss distance
CONFIGURATION PARAMETERS
------------------------
Trend Detection:
- MA Fast Period (default: 20)
- MA Slow Period (default: 50)
- MACD settings (12/26/9)
Swing Detection:
- Pivot Lookback Left/Right (default: 10/10, reduce to 5/5 for M15)
- Min Swing Size % (default: 0.1%, reduce to 0.05% for M15)
Wave Detection:
- Min Wave Size % (default: 0.5%, reduce to 0.2-0.3% for smaller timeframes)
Risk Management:
- SL Buffer % (default: 0.1%)
- TP1 Fibonacci Ratio (default: 1.618)
- Min Risk/Reward (default: 1.5)
Visualization:
- Toggle visibility for MAs, ZigZag, Wave Labels, Signals, SL/TP
- Customizable colors for all elements
- Optional trend background coloring
IMPORTANT NOTES
---------------
• Elliott Wave analysis is subjective - this indicator implements one specific interpretation
• Works best in trending markets; automatically suppresses signals in sideways conditions
• Signals are NOT repainting after pivot confirmation
• Not a "holy grail" - combine with other analysis and proper risk management
• Requires patience - quality setups are infrequent but high-probability
• Always backtest on historical data before live trading
ELLIOTT WAVE THEORY BACKGROUND
------------------------------
Elliott Wave Theory, developed by Ralph Nelson Elliott in the 1930s, proposes that market prices move in predictable wave patterns driven by investor psychology. An impulse wave consists of five sub-waves (three in the trend direction, two corrections), followed by a three-wave correction. This indicator automates the identification of these patterns and validates them against Elliott's original rules.
DISCLAIMER
----------
This indicator is for educational and informational purposes only. Past performance does not guarantee future results. Always conduct your own analysis and never trade with money you cannot afford to lose. The indicator provides signals based on technical analysis patterns and does not constitute financial advice.
VERSION
-------
v1.0 - Initial Release
Pine Script v5
Created: 2024
SUPPORT
-------
For detailed usage instructions, refer to the included documentation:
- usage_guide.md - Complete user manual with examples
- elliott_rules.md - Elliott Wave theory reference and implementation details
Average Price Calculator / VisualizerDCA Average Price Calculator - Visualize Your Breakeven & TP!
Ever wished you could visualize your trades and instantly see your average entry price right here on TradingView? Especially if you're a DCA (Dollar-Cost Averaging) trader like me, tracking multiple entries can be a hassle. You're constantly switching to a spreadsheet or calculator to figure out your breakeven and take-profit levels. Well I've developed this DCA Average Price Calculator to solve exactly that problem, bringing all your position planning directly onto your chart.
What It Does
This indicator is a interactive tool designed to calculate the weighted average price of up to 10 separate trade entries. It then plots your crucial breakeven (average price) and a customizable take-profit target directly on your chart, giving you a clear visual of your position.
Key Features
Up to 10 Order Entries: Plan complex DCA strategies with support for up to ten individual buys.
Flexible Size Input: Enter your position size in either USD Amount or Number of Shares/Contracts. The script is smart enough to know which one you're using.
Instant Average Price Calculation: Your weighted average price (your breakeven point) is calculated and plotted in real-time as a clean yellow line.
Customizable Take-Profit Target: Set your desired profit percentage and see your take-profit level instantly plotted as a green line.
Detailed On-Chart Labels: Each order you plot is marked with a detailed label showing the entry price, the number of shares purchased, and the total USD value of that entry.
Clean & Uncluttered UI: The main Average and TP labels are intelligently shifted to the right, ensuring they don't overlap with your entry markers, keeping your chart readable.
How to Use It - Simple Steps
Add the indicator to your chart.
Open the script's 'Settings' menu.
In the 'Take Profit' section, set your desired profit percentage (e.g., 1 for 1%).
Under the 'Orders' section, begin filling in your entries. For each 'Order #', enter the Price.
Next, enter the size. You can either fill in the 'Size (USD)' box OR the '/ Shares' box. Leave the one you're not using at 0.
As you add orders, the 'Avg' (yellow) and 'TP' (green) lines, along with the blue order labels, will automatically appear and adjust on your chart!
Who Is This For?
DCA Traders: This is the ultimate tool for you!
Position Traders: Keep track of scaling into a larger position over time.
Manual Backtesters: Quickly simulate and visualize how a series of buys would have played out.
Any Trader who wants a quick and easy way to calculate their average entry without leaving TradingView.
I built this tool to improve my own trading workflow, and I hope it helps you as much as it has helped me. If you find it useful, please consider giving it a 'Like' and feel free to leave any feedback or suggestions in the comments!
Happy trading
