Trend Analysis
YASINKARACA EMA5-13-21-34-55This is an indicator consisting of EMA5, EMA13, EMA21, EMA34, and EMA55 plotted below the chart. What you need to pay attention to is that when the white-colored EMA55 is at the bottom and EMA5 is at the top, it indicates that the trend is upwards. If the opposite is true, the trend has turned downwards.
Wishing you success and hoping you use it in good days.
TraderTürk M.Y Signal Box proThis version enhances the original code both visually and functionally by adding numeric volume data, color‑coded layers, clear “Buy/Sell/N/A” signals, and a pivot indicator.
It also expands the indicator set from 7 to 9.
OLD VERSION:
This Pine Script indicator (“TraderTürk M.Y Signal Box”) displays two information panels on the chart:
Signal Box (bottom left)
Volume: Shows the current bar’s volume alongside the average volume over a selected period (e.g. 20 bars), labeled as “High” or “Low.”
Popular Indicators: EMA 50, EMA 100, RSI(14), MACD(12,26,9), Stochastic(14,3), Bollinger Bands(20,2), and CCI(20), each reporting only “BUY”/“SELL”/“NEUTRAL.”
Buy/Sell Ratio Box (bottom right)
Tallies how many of those seven indicators are signaling “BUY” versus “SELL” and presents these counts as percentages.
Vacuum Candles [XrayAlgo]The Vacuum Candles indicator helps traders identify inefficient price movements—where the price moves significantly but lacks sufficient volume to support it. These inefficiencies may signal weak trends, potential reversals, or false breakouts/breakdowns.
Inefficient candles are visually marked with a darker / black body to indicate when the price movement is disproportionate to the volume.
1. Spotting Potential Reversals
When the indicator marks an inefficient candle, it signals that the price movement may be unsustainable.
In an uptrend: A inefficient bullish candle suggests that the uptrend is losing momentum, potentially leading to a downward reversal.
In a downtrend: A inefficient bearish candle signals that the downtrend may be weakening, with a potential bullish reversal.
2. Identifying Breakout and Breakdown Failures
This indicator is useful for recognizing false breakouts or false breakdowns.
If price breaks resistance but the candle is inefficient, the breakout may be weak and could fail quickly.
If price breaks support with an inefficient bearish candle, the breakdown could be a false signal, with price reverting back above support.
3. Recognizing Weak Trends
Inefficient candles help you spot when a trend is losing strength and could soon reverse or consolidate.
In an uptrend: A series of dark body bullish candles suggests that the uptrend may be weakening, signaling a potential correction or trend reversal.
In a downtrend: A series of dark body bearish candles suggests that the selling pressure is weakening, indicating a potential bullish reversal.
4. Fine-Tuning Entries and Exits
Inefficient candles offer an opportunity to fine-tune your entries and exits based on weak price moves.
Entering a trade: An inefficient candle near key support or resistance can indicate a reversal, making it a good entry point for a counter-trend position.
Exiting a trade: If you're already in a trend, and an inefficient candle appears, it suggests the trend is losing strength, indicating it may be a good time to exit before a potential reversal.
5. Fine-Tuning with Inputs
The Vacuum Candles indicator includes two key inputs:
Length: The number of candles used to calculate the average price movement and volume. A longer length (e.g., 20-30) smooths out the inefficiencies, while a shorter length (e.g., 10-15) makes the indicator more sensitive to recent price moves.
Multiplier: Controls the threshold for what is considered an inefficient candle:
A higher Multiplier (e.g., 1.5–3) filters out smaller inefficiencies and focuses on large discrepancies.
A lower Multiplier (e.g., 0.1–0.9) captures even smaller inefficiencies in highly efficient markets.
QuantumTrend Signals [Atiloan]QuantumTrend Signals by Atiloan
QuantumTrend Signals is a visual trend-following indicator designed to identify momentum shifts and potential take-profit zones based on dynamic price deviations from the mean. Built with a unique cloud and gauge display, the tool helps traders spot trend transitions and optimize their decision-making with clear visual cues.
Features:
Trend Detection Based on Price Deviation:
The indicator calculates a moving average (SMA) and uses standard deviation bands to determine whether the price is moving in a strong bullish or bearish direction. A new trend is identified when price breaks beyond the average and the deviation thresholds.
Cloud & Gauge Visualization:
A color-changing cloud highlights current trend direction. Additionally, a gauge (heatmap-style bar) is plotted on the chart to visually indicate the relative strength of the trend.
Buy & Sell Labels:
When a bullish or bearish trend shift is detected, the indicator displays "Buy 🐂" or "Sell 🐻" labels, helping traders quickly interpret market conditions.
Take-Profit Markers (TP):
When price reaches an extended deviation from the mean, small markers appear to indicate potential short- or long-target zones (profit-taking levels).
Customizable Inputs:
Users can adjust the period length, deviation multiplier, and visual color settings to tailor the tool to their trading style.
Alerts:
Built-in alerts for trend shifts and take-profit conditions keep traders informed of potential entry or exit opportunities in real time.
Application:
This indicator is suitable for Forex, Crypto, Stocks, and Indices. It works across all timeframes, but is particularly effective on 15-minute, 1-hour, 4-hour, and Daily charts, depending on the trading strategy (intraday or swing trading).
Benefits:
Early Trend Recognition: Identify emerging trends before they fully develop using price action and deviation logic.
Visual Clarity: Color-coded clouds and gauges make it easy to interpret trend strength and direction.
Take-Profit Insight: Clearly marked TP zones help plan exits and improve trade management.
Real-Time Alerts: Stay ahead of market moves with built-in notification triggers.
Access Type: Invite-Only
This indicator is Invite-Only and the source code is protected. Access is manually granted by the author.
If you are interested in using this tool, please contact the author (Atiloan) directly via TradingView.
This tool is intended as a support for trading decisions and should not be used as the sole basis for entering or exiting trades. Always use proper risk management strategies.
Vishal 500$ with AlertsThis versatile strategy delivers a fully customizable framework for trend‑aligned trading across any timeframe. By blending multi‑resolution trend analysis, dynamic reference levels and disciplined risk management, it empowers traders to make informed decisions while maintaining a clean, professional chart layout.
Highlights
Multi‑Resolution Data
Seamlessly switch between intraday, daily, weekly or monthly timeframes, ensuring the strategy aligns with your preferred trading horizon.
Trend Alignment
An adjustable trend filter enforces entries only in the direction of the prevailing market bias, helping to reduce false signals.
Adaptive Reference Levels
Automatically identifies and plots key price levels based on recent swings, with the option to override with a bespoke level for additional flexibility.
Customizable Moving Averages
Three independent moving‑average overlays serve as auxiliary guides, each fully parameterized to suit your analysis style.
Robust Risk Management
Stop‑loss levels adapt to recent pivot points (with a customizable fallback period), while exits are managed via a user‑defined risk‑reward ratio, promoting consistency and discipline.
Real‑Time Trade Dashboard
A compact, on‑chart table displays current entry price, stop‑loss, take‑profit, risk‑reward ratio and unrealized PnL—keeping essential trade metrics front and center.
Inputs & Configuration
Data Resolution: Select from 1 min up to monthly.
Trend SMA Period: Define the length of the trend‑determining moving average.
Fibonacci Lookback / Custom Level: Choose the swing‑based lookback for automatic level calculation or specify your own.
Moving Average Periods: Independently set three moving‑average lengths.
Stop‑Loss Lookback & R:R Ratio: Configure pivot‑based stop‑loss sensitivity and the desired reward multiple.
Visualization
Clean overlay of trend SMA and moving averages directly on the price chart.
Highlighted upper and lower reference levels for clear guidance.
Discreet, color‑coordinated trade metrics table in the chart corner, minimizing clutter.
This strategy is designed for professional traders seeking a high‑degree of configurability and on‑chart transparency. Tailor every parameter to your workflow and let the strategy handle execution oversight—so you can focus on market analysis and decision‑making.
Bitcoin Global Premium Index (Coinbase + Korea)This indicator is designed to analyze regional investor sentiment and capital flow, by comparing the price premium of Bitcoin on two major regional exchanges:
Coinbase (USA) – representing North American demand.
Upbit (Korea) – representing South Korean retail and institutional sentiment.
It calculates how much higher or lower BTC is trading on those exchanges compared to the global reference price (Binance), and shows you who is leading the market sentiment.
🧠 Core Idea:
When a specific region is paying more for BTC than the global average, it indicates strong local demand, often driven by investor emotion (FOMO) or institutional activity.
🧮 How the Indicator Works:
✅ 1. Price Inputs:
Reference Price: Binance BTC/USDT (used as global baseline).
Coinbase Price: BTC/USD from Coinbase.
Korea Price: BTC/KRW from Upbit, converted to USD using your manual KRW/USD rate.
✅ 2. Premium Calculation:
For both Coinbase and Korea:
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Premium (%) = ((Local Price - Global Price) / Global Price) * 100
This shows how much more (or less) BTC costs in each region.
✅ 3. Smoothing:
Both premium values are smoothed using a Simple Moving Average (default 20-period) to reduce noise.
🎨 Visual Components on the Chart:
Element Description
Orange Line Coinbase Premium – how much Americans are overpaying or underpaying.
Teal Line Korea Premium – how much Koreans are overpaying or underpaying.
Green Background USA (Coinbase) is leading the market sentiment.
Blue Background Korea (Upbit) is leading the market sentiment.
Gray Line at 0% Neutral level – no premium.
Dashed Lines Thresholds to detect meaningful deviations (e.g., +0.5%, -0.5%).
📈 How to Use It:
🟢 When Coinbase Premium > Korea Premium and > Threshold:
Market is being driven by U.S. buyers.
Often indicates institutional entry or strong bullish sentiment from the West.
May suggest a long-term bullish trend forming.
🔵 When Korea Premium > Coinbase Premium and > Threshold:
Market is being driven by Korean retail or whales.
Can indicate local FOMO or speculative mania.
Historically, high Korean premium has preceded market tops.
🛑 When both premiums fall below 0%:
Market is cooling down or experiencing capital outflow.
May signal incoming correction.
⚙️ Customizable Inputs:
krwUsdRate: Manually adjust the exchange rate for accuracy (default: 1350).
maLen: Adjust the smoothing period to reduce noise or respond faster.
threshold: Define what is considered a "significant" premium or discount.
Uptrick: Dynamic Z-Score DeviationOverview
Uptrick: Dynamic Z‑Score Deviation is a trading indicator built in Pine Script that combines statistical filters and adaptive smoothing to highlight potential reversal points in price action. It combines a hybrid moving average, dual Z‑Score analysis on both price and RSI, and visual enhancements like slope‑based coloring, ATR‑based shadow bands, and dynamically scaled reversal signals.
Introduction
Statistical indicators like Z‑Scores measure how far a value deviates from its average relative to the typical variation (standard deviation). Standard deviation quantifies how dispersed a set of values is around its mean. A Z‑Score of +2 indicates a value two standard deviations above the mean, while -2 is two below. Traders use Z‑Scores to spot unusually high or low readings that may signal overbought or oversold conditions.
Moving averages smooth out price data to reveal trends. The Arnaud Legoux Moving Average (ALMA) reduces lag and noise through weighted averaging. A Zero‑Lag EMA (approximated here using a time‑shifted EMA) seeks to further minimize delay in following price. The RSI (Relative Strength Index) is a momentum oscillator that measures recent gains against losses over a set period.
ATR (Average True Range) gauges market volatility by averaging the range between high and low over a lookback period. Shadow bands built using ATR give a visual mood of volatility around a central trend line. Together, these tools inform a dynamic but statistically grounded view of market extremes.
Purpose
The main goal of this indicator is to help traders spot short‑term reversal opportunities on lower timeframes. By requiring both price and momentum (RSI) to exhibit statistically significant deviations from their norms, it filters out weak setups and focuses on higher‑probability mean‑reversion zones. Reversal signals appear when price deviates far enough from its hybrid moving average and RSI deviates similarly in the same direction. This makes it suitable for discretionary traders seeking clean entry cues in volatile environments.
Originality and Uniqueness
Uptrick: Dynamic Z‑Score Deviation distinguishes itself from standard reversal or mean‑reversion tools by combining several elements into a single framework:
A composite moving average (ALMA + Zero‑Lag EMA) for a smooth yet responsive baseline
Dual Z‑Score filters on price and RSI rather than relying on a single measure
Adaptive visual elements, including slope‑aware coloring, multi‑layer ATR shadows, and signal sizing based on combined Z‑Score magnitude
Most indicators focus on one aspect—price envelopes or RSI thresholds—whereas Uptrick: Dynamic Z‑Score Deviation requires both layers to align before signaling. Its visual design aids quick interpretation without overwhelming the chart.
Why these indicators were merged
Every component in Uptrick: Dynamic Z‑Score Deviation has a purpose:
• ALMA: provides a smooth moving average with reduced lag and fewer false crossovers than a simple SMA or EMA.
• Zero‑Lag EMA (ZLMA approximation): further reduces the delay relative to price by applying a time shift to EMA inputs. This keeps the composite MA closer to current price action.
• RSI and its EMA filter: RSI measures momentum. Applying an EMA filter on RSI smooths out false spikes and confirms genuine overbought or oversold momentum.
• Dual Z‑Scores: computing Z‑Scores on both the distance between price and the composite MA, and on smoothed RSI, ensures that signals only fire when both price and momentum are unusually stretched.
• ATR bands: using ATR‑based shadow layers visualizes volatility around the MA, guiding traders on potential support and resistance zones.
At the end, these pieces merge into a single indicator that detects statistically significant mean reversions while staying adaptive to real‑time volatility and momentum.
Calculations
1. Compute ALMA over the chosen MA length, offset, and sigma.
2. Approximate ZLMA by applying EMA to twice the price minus the price shifted by the MA length.
3. Calculate the composite moving average as the average of ALMA and ZLMA.
4. Compute raw RSI and smooth it with ALMA. Apply an EMA filter to raw RSI to reduce noise.
5. For both price and smoothed RSI, calculate the mean and standard deviation over the Z‑Score lookback period.
6. Compute Z‑Scores:
• z_price = (current price − composite MA mean) / standard deviation of price deviations
• z_rsi = (smoothed RSI − mean RSI) / standard deviation of RSI
7. Determine reversal conditions: both Z‑Scores exceed their thresholds in the same direction, RSI EMA is in oversold/overbought zones (below 40 or above 60), and price movement confirms directionality.
8. Compute signal strength as the sum of the absolute Z‑Scores, then classify into weak, medium, or strong.
9. Calculate ATR over the chosen period and multiply by layer multipliers to form shadow widths.
10.Derive slope over the chosen slope length and color the MA line and bars based on direction, optionally smoothing color transitions via EMA on RGB channels.
How this indicator actually works
1. The script begins by smoothing price data with ALMA and approximating a zero‑lag EMA, then averaging them for the main MA.
2. RSI is calculated, then smoothed and filtered.
3. Using a rolling window, the script computes statistical measures for both price deviations and RSI.
4. Z‑Scores tell how far current values lie from their recent norms.
5. When both Z‑Scores cross configured thresholds and momentum conditions align, reversal signals are flagged.
6. Signals are drawn with size and color reflecting strength.
7. The MA is plotted with dynamic coloring; ATR shadows are layered beneath to show volatility envelopes.
8. Bars can be colored to match MA slope, reinforcing trend context.
9. Alert conditions allow automated notifications when signals occur.
Inputs
Main Length: Main MA Length. Sets the period for ALMA and ZLMA.
RSI Length: RSI Length. Determines the lookback for momentum calculations.
Z-Score Lookback: Z‑Score Lookback. Window for mean and standard deviation computations.
Price Z-Score Threshold: Price Z‑Score Threshold. Minimum deviation required for price.
RSI Z-Score threshold: RSI Z‑Score Threshold. Minimum deviation required for momentum.
RSI EMA Filter Length: RSI EMA Filter Length. Smooths raw RSI readings.
ALMA Offset: Controls ALMA’s focal point in the window.
ALMA Sigma: Adjusts ALMA’s smoothing strength.
Show Reversal Signals : Toggle to display reversal signal markers.
Slope Sensitivity: Length for slope calculation. Higher values smooth slope changes.
Use Bar Coloring: Enables coloring of price bars based on MA slope.
Show MA Shadow: Toggle for ATR‑based shadow bands.
Shadow Layer Count: Number of shadow layers (1–4).
Base Shadow ATR Multiplier: Multiplier for ATR when sizing the first band.
Smooth Color Transitions (boolean): Smooths RGB transitions for line and shadows, if enabled.
ATR Length for Shadow: ATR Period for computing volatility bands.
Use Dynamic Signal Size: Toggles dynamic scaling of reversal symbols.
Features
Moving average smoothing: a hybrid of ALMA and Zero‑Lag EMA that balances responsiveness and noise reduction.
Slope coloring: MA line and optionally price bars change color based on trend direction; color transitions can be smoothed for visual continuity.
ATR shadow layers: translucent bands around the MA show volatility envelopes; up to four concentric layers help gauge distance from normal price swings.
Dual Z‑Score filters: price and momentum must both deviate beyond thresholds to trigger signals, reducing false positives.
Dynamic signal sizing: reversal markers scale in size based on the combined Z‑Score magnitude, making stronger signals more prominent.
Adaptive visuals: optional smoothing of color channels creates gradient effects on lines and fills for a polished look.
Alert conditions: built‑in buy and sell alerts notify traders when reversal setups emerge.
Conclusion
Uptrick: Dynamic Z‑Score Deviation delivers a structured way to identify short‑term reversal opportunities by fusing statistical rigor with adaptive smoothing and clear visual cues. It guides traders through multiple confirmation layers—hybrid moving average, dual Z‑Score analysis, momentum filtering, and volatility envelopes—while keeping the chart clean and informative.
Disclaimer
This indicator is provided for informational and educational purposes only and does not constitute financial advice. Trading carries risk and may not be suitable for all participants. Past performance is not indicative of future results. Always do your own analysis and risk management before making trading decisions.
Market Sentiment Vote - Up or DownBitcoin Sentiment Vote - Up or Down
This indicator is used to analyze the general sentiment of investors towards Bitcoin, using weekly votes to show whether the majority of traders expect the price to rise or fall. It serves as a gauge to determine whether the prevailing market sentiment is "Bullish" (uptrend) or "Bearish" (downtrend).
Components of the Indicator on the Chart:
Black Line: Represents the Bitcoin price (BTC Price).
Green Bars: "Up" votes (Bullish sentiment - market is expected to rise).
Red Bars: "Down" votes (Bearish sentiment - market is expected to fall).
Purple Line: The ratio between "Up" votes and "Down" votes (sentiment ratio).
Green Connected Line + Text "Green": When the indicator turns green, signaling positive sentiment for the first time in a while.
SMA-90d + STDV: The 90-day simple moving average and standard deviations used to identify abnormal changes in market sentiment.
This indicator allows traders to anticipate shifts in market sentiment based on crowd psychology, offering an early signal of potential trends
🐢 Turtle Soup Strategy v1.0 – TBS/TWS + OB/FVG + SL/TP🐢 Turtle Soup Strategy v1.0 – Backtest Edition
This document gives you everything you need to use, interpret, and optimize the Turtle Soup Strategy in TradingView.
🐢 What is Turtle Soup?
Turtle Soup is a reversal trading strategy based on false breakouts of recent highs or lows — often referred to as liquidity traps.
Popularized by Linda Raschke , it flips the logic of breakout trading on its head by betting against the breakout, especially when it occurs near key swing points or in range-bound markets.
The idea is simple:
"When the turtles come out, the smart money cooks them."
🧠 In practice, traders place buy orders after price dips below a recent low and reverses, or sell orders after a false breakout above a high.
These fakeouts are often stop hunts, where large players induce retail traders into breakout positions, only to reverse the market against them — providing high-probability entry points for contrarian traders.
🧪 Core Components of Turtle Soup:
✅ Donchian Channel (recent swing high/low)
✅ Wick or body breakout
✅ Fast reversal back into range
✅ (Optional) Order block or FVG confluence
🔥 Why It Works:
Exploits liquidity zones where retail stops are clustered
Aligns with smart money concepts
Highly effective in sideways markets or after exhaustion spikes
🔎 What This Strategy Does
This is a reversal-based price action strategy that identifies false breakouts of recent highs or lows (liquidity traps), using the popular Turtle Soup pattern.
It enters trades when:
Price fakes out past the Donchian high or low
Closes back into the range
Optionally confirms with:
✅ Order Block Confluence (institutional footprint)
✅ Fair Value Gap (FVG) Confluence (imbalance)
It then sets:
🛑 A Stop Loss (SL) below/above the signal candle
🎯 A Take Profit (TP1) at a customizable Risk-Reward Ratio (RR) (default 1.5x)
🎯 Core Concepts
1. TBS – Turtle Body Soup
Full-body breakout and close back inside range
Considered stronger and more reliable
2. TWS – Turtle Wick Soup
Wick only breaks the high/low, body closes back inside
Weaker but still valid in confluence
⚙️ Inputs & Settings
Setting Description
Donchian Lookback Period for high/low reference (default: 20 candles)
TP1 RR Risk-Reward ratio for take profit target 1 (default: 1.5)
Use Order Block Filter If ON, requires bullish/bearish OB to validate the entry
Use FVG Filter If ON, requires FVG confluence (gap in price action = imbalance)
You can adjust these in the strategy’s Settings panel (gear icon in TradingView).
📈 How Trades Are Triggered
🟢 Long Entry occurs when:
TBS or TWS long signal is detected
(optional) Bullish Order Block present
(optional) Bullish FVG present
→ Entry: Close of signal candle
→ SL: Below candle’s low
→ TP1: Calculated from RR (default: 1.5x distance to SL)
🔴 Short Entry occurs when:
TBS or TWS short signal is detected
(optional) Bearish Order Block present
(optional) Bearish FVG present
→ Entry: Close of signal candle
→ SL: Above candle’s high
→ TP1: Calculated from RR (default: 1.5x distance to SL)
📊 How to Backtest
1. Open script in TradingView
Paste the full script into the Pine Script editor and click "Add to Chart".
2. Open the Strategy Tester
Navigate to the “Strategy Tester” tab (bottom panel).
Click “Overview” to see:
Net Profit 💰
Win Rate 📈
Number of Trades 📊
Max Drawdown 🩸
3. Use "Performance Summary" and "List of Trades"
You can click on List of Trades to review every trade (entry, exit, profit, SL, TP).
Filter and export as needed.
📊 Turtle Soup – Chart Signals Explained
🟢 TBS Long
Symbol: Green label up, text “TBS 🔺”
Meaning:
Turtle Body Soup long setup:
The body of the candle breaks below the recent Donchian Low (liquidity grab),
Then price closes back above that low.
Interpretation:
Strong bullish reversal signal, especially if confirmed by order block or FVG.
🔴 TBS Short
Symbol: Red label down, text “TBS 🔻”
Meaning:
Turtle Body Soup short setup:
The body of the candle breaks above the recent Donchian High (liquidity grab),
Then price closes back below that high.
Interpretation:
Strong bearish reversal signal.
🔵 TWS Long
Symbol: Blue triangle up, text “TWS ⬆”
Meaning:
Turtle Wick Soup long setup:
The wick (not the body) breaks below the Donchian Low,
Candle closes back inside the range.
Interpretation:
Bullish reversal signal (less powerful than TBS but still valid).
🟠 TWS Short
Symbol: Orange triangle down, text “TWS ⬇”
Meaning:
Turtle Wick Soup short setup:
The wick breaks above the Donchian High,
Candle closes back inside the range.
Interpretation:
Bearish reversal signal.
🟩 Order Block Bullish
Symbol: Small green square under bar
Meaning:
Last bearish candle before a bullish impulse (institutional buying footprint).
Used as confluence for stronger long entries.
🟥 Order Block Bearish
Symbol: Small red square above bar
Meaning:
Last bullish candle before a bearish impulse (institutional selling footprint).
Used as confluence for stronger short entries.
🔷 FVG Up
Symbol: Navy blue X below bar
Meaning:
Fair Value Gap (FVG) up:
A gap/imbalance created by a strong move up,
Indicates potential support or bullish confluence.
🟪 FVG Down
Symbol: Fuchsia X above bar
Meaning:
Fair Value Gap (FVG) down:
A gap/imbalance created by a strong move down,
Indicates potential resistance or bearish confluence.
📏 Entry / SL / TP Lines
Entry: Gray dashed line
Stop Loss (SL): Red dashed line
Take Profit 1 (TP1): Green solid line
Take Profit 2 (TP2): Green thick solid line
Drawn whenever a trade is triggered.
SL and TPs are calculated automatically from entry based on RR.
💡 Optimization Tips
What to Test - Why It Matters
Donchian Lookback - 20 is default, but shorter (10) catches faster setups
TP1 RR - Try 1.2 to 2.5 for different market types
Use/Disable Order Block Filter - Adds precision, reduces trades
Use/Disable FVG Filter . Adds imbalance confirmation
Lower Timeframes (M15–H1) - Gives more trades for statistical testing
🧠 When It Works Best
This strategy shines in:
Choppy / range-bound markets (liquidity traps are frequent)
Smart money behavior areas: stop hunts before reversals
Near session opens, news volatility, and false breakouts
Avoid in:
Strong trending markets without reversal signals
Low liquidity / overnight hours (on low timeframes)
🛡️ Risk Disclaimer
⚠️ This is a backtesting tool and not financial advice. Use responsibly.
Past performance ≠ future results. Always validate on demo or forward test before going live.
Adaptive Momentum Average Multi + Oscillator Signals✨ Highlights
Four AMAs in One – Fast, Slow, Trend, and Cycle lengths (defaults 10, 20, 50, 200) in a single pane.
Custom Styles & Offset – Per‑series choice of Line/Stepline/Circles, plus horizontal shifting and dynamic edge labels.
Adaptive Momentum Weighting – Each AMA’s responsiveness is governed by recent price momentum: it accelerates in strong trends and decelerates during choppy moves.
Embedded Oscillator Filter – A built‑in momentum oscillator tracks the balance of gains vs. losses over a look‑back, then dynamically sets overbought/oversold bands to confirm signal strength.
Smart Signals – Entry only triggers when the Fast/Slow AMA cross aligns with your trend direction and the oscillator confirms oversold or overbought conditions; exits fire on either a cross‑back or an oscillator reversal.
Alerts – Generate popup or webhook alerts for every long/short entry and exit.
🔍 Under the Hood: Chande’s Momentum Oscillator & AMA
The Origin:
Tushar Chande developed the Variable Index Dynamic Average (VIDYA) in the early 1990s to address the fixed‑weight limitations of a traditional EMA. His breakthrough was to use his own Chande Momentum Oscillator (CMO)—which measures the ratio of up‑moves to down‑moves—as a dynamic weight factor.
How the Oscillator Works:
The oscillator gauges the strength of buying versus selling pressure over a chosen period. When upward price changes exceed downward changes, the oscillator rises; when selling dominates, it falls. A sustained high reading indicates a clear trend, while a low reading suggests a lack of directional conviction.
Adaptive Smoothing:
Instead of a single smoothing constant, each AMA recalculates its weight every bar by blending the standard EMA multiplier with the oscillator’s current reading.
In strong trending environments, the weight increases—making the AMA track price more closely.
In sideways or noisy markets, the weight decreases—smoothing out random fluctuations.
💡 How to Trade
Choose Your Line:
You can trade off any AMA curve. Longer‑length AMAs (Trend & Cycle) act as stronger support/resistance, while shorter‑length lines (Fast & Slow) capture quicker bounces.
Long Entry:
Price must be above your chosen AMA line.
Wait for price to bounce off that AMA and see a green ✕ entry cross.
Take profits at any of the red ✕ exit crosses prints.
Short Entry:
Price must be below your chosen AMA line.
Wait for price to bounce off that AMA and see a red ✕ entry cross.
Exit at any of the green ✕ exit cross prints.
⚠️ Disclaimer
This script is provided for educational purposes only and does not constitute financial advice. Always backtest any strategy and apply proper risk management.
4 Closes + Current Price SMAThis calculates the 5 day Simple Moving Average in the same way that the backtester in Option Omega does, by using the 4 previous closes and current price of the 5th day.
Long short signal]Using VWAP (daily line obtained through request. security) and its EMA to form a "trend direction" judgment, combined with POC, trading volume, and price moving average, a logically rigorous in and out signal is formed
Octoalgo Buy sell OB 1.0Explore the effectiveness of precision trading with the "Octoalgo Buy Sell OB 1.0" indicator on TradingView. Designed to improve your decision-making, this sophisticated tool provides timely Buy and Sell signals to help you seize market opportunities.
Key Features:
-Dynamic Signal Alerts: Get instant alerts for optimal entry and exit points, clearly marked on your chart with "BUY" and "SELL" labels.
-Adaptive Candle Coloring: Easily visualize market trends with color-coded candles—green indicates buying opportunities, while red signals selling conditions.
-RSI-Based Order Blocks: Enhance your strategy with advanced RSI Order Block detection featuring adjustable sensitivity and mitigation methods. Identify and manage key market zones with customizable bullish and bearish block markers.
-Flexible Visualization Options: Customize settings to match your trading style, including the number of visible Order Blocks and RSI thresholds, for a tailored trading experience.
This indicator is available at: www.octoalgo.com
Incorporate the Octoalgo Buy Sell OB 1.0 into your trading strategy today to stay ahead in dynamic markets and maximize your trading potential with clarity and precision
Phoenix AIThis is the Tradingview version of the original Phoenix on MT4 with a bunch of updates. For access please visit getphoenixnow.com
Phoenix was created to give signals based on a trading method I designed. What sets it apart from a lot of other indicators or systems is the use of multiple filters not only working on your current time frame, but it has a high time frame filter that runs a whole different version of Phoenix in the background on that time frame with the same filters. This means that you have auto top down analysis. With this you will only get a signal on your current chart if the other higher time frame chart has already given the signal.
With the addition of a RNN (Recurrent Neural Network), Phoenix now auto adjust it's settings based on market conditions. This adds to the number of filters already included in the Phoenix indicator. You have added filters of Momentum, Volatility, Trend and Volume.
Phoenix now includes Auto Adaptive stop loss and 3 take profits. The stop loss and take profits are based on market volatility so if the market is moving slow you'll get a tighter stop and take profits, but if the market takes off and gives a signal the stop loss and take profits will be further from price.
(Other Invite Only Version)
Simple FVG bhombSimpleFVG by bhomb detects Fair Value Gaps (FVGs) on price charts, highlighting bullish (green) and bearish (red) gaps with customizable boxes. Boxes disappear when price closes through them.
Custom SessionsThis is an edit to one of the famous Sessions indicator
Changes:
- I separated the background from the plotted highs and lows so it can be more customizable to user needs
- I also added a custom session if users want to track the high and low of a custom time frame
Personally I use this to track the highs and lows of asia and london session to trade it during NY session. This is because I noticed that the Asia and London high and low tends to be key points to either tap or reverse from.
To use:
1. Edit the sessions to match your needs
2. Toggle the sessions you would want to see the background or the high and low of
3. If you want, set a custom session time frame and track the high and low of that
52 Week High LowTracks the past year's High, Low, and Midpoint on your chart with clean lines and auto-updating labels.
Red = 52-Week High
Green = 52-Week Low
Gray = Basis (Midpoint)
TraderFa Automatic FVGhe Fair Value Gap (FVG) indicator is a powerful technical analysis tool that identifies market inefficiencies by highlighting Fair Value Gaps across multiple timeframes. Discover key trading zones where institutions might be active—don’t miss your edge!
Introduction to the FVG Indicator
The Fair Value Gap indicator is designed to automatically detect areas of price imbalance—commonly referred to as Fair Value Gaps (FVGs)—directly on your chart. These zones occur when price moves aggressively in one direction, leaving behind a gap that represents a lack of order matching, and often becomes a magnet for future price action.
The concept is widely used by professional traders and is deeply rooted in liquidity-based analysis and institutional trading logic.
Key Features
Multi-timeframe FVG detection (up to 4 timeframes simultaneously):
Gain a layered perspective by monitoring price gaps on different timeframes all at once.
Automatic detection of bullish and bearish FVGs:
Highlighted zones where price surged or dropped too quickly—potential reaction areas.
Option to display or hide mitigated gaps:
You can choose to keep showing gaps that have already been filled or remove them from view.
Custom color settings for each timeframe:
Assign different colors for bullish and bearish gaps in each timeframe for better visual clarity.
How the Indicator Works
Utilizing the capabilities of Pine Script, the indicator fetches data such as high, low, open, and time from higher timeframes and compares it with current candles to detect valid FVGs.
The detection logic is based on:
A bullish FVG forms when the low of the current candle is higher than the high of two candles ago.
A bearish FVG forms when the high of the current candle is lower than the low of two candles ago.
These gaps are then visualized using boxes and labels, and updated or removed depending on whether the price has returned to fill the gap.
Use Cases in Trading
Reveal hidden liquidity zones:
Institutional traders often place orders around FVGs. Identifying these can help pinpoint high-probability entries.
Set precise entry, exit, or target zones:
Use gaps to identify potential reversal or continuation zones with minimal risk exposure.
Optimize multi-timeframe confluence:
Seeing FVGs from various timeframes simultaneously allows you to discover overlapping zones—excellent for timing trades with confidence.
Customizable Settings :
Enable/disable each of the four timeframes independently
Select your desired timeframe for each layer
Pick unique colors for bullish and bearish gaps
Show or hide mitigated (filled) gaps based on strategy
F inal Thoughts
The FVG indicator is a refined, high-precision tool built for traders who use price action and liquidity principles. Whether you're scalping or trading swing setups, this indicator offers an edge by visually representing inefficiencies in price—helping you anticipate where price is likely to react.
Ready to see the market through the lens of institutional behavior? Add the FVG indicator to your chart today and start spotting the gaps that really matter.
Volume Weighted Median Price (VWMP)The volume is indeed crucial for confirming price moves and understanding market conviction. While many traders are familiar with VWAP (Volume Weighted Average Price), this indicator introduces a lesser-known but powerful cousin: the Volume Weighted Median Price (VWMP).
What is VWMP?
Unlike VWAP, which calculates the average price weighted by volume over a period, VWMP identifies the median price level weighted by volume.
Think of it this way: If you line up all the trades within a specific lookback period, sorted by price, and then start accumulating the volume traded at each price level, the VWMP is the price level where 50% of the total volume occurred below it, and 50% occurred above it.
It essentially finds the "middle ground" of trading activity based on where the bulk of the volume actually traded, not just the average price.
Key Difference: VWMP vs. VWAP
VWAP: Volume Weighted Average Price. Sensitive to outliers (single large trades at extreme prices can skew the average).
VWMP: Volume Weighted Median Price. More robust to outliers. It represents the price that splits the period's volume distribution in half.
Because it uses the median, VWMP can sometimes provide a more stable or representative level of the "typical" price where significant volume is changing hands, especially in volatile markets or when large, anomalous trades occur.
How to Interpret and Use VWMP in trading
The VWMP plots as a line on your chart, similar to a moving average or VWAP. Here are a few ways traders might use it:
Dynamic Support and Resistance:
Like VWAP, the VWMP line can act as a dynamic level of interest.
Watch how price interacts with the VWMP. Consistent acceptance above VWMP might suggest bullish control and potential support.
Consistent rejection or acceptance below VWMP might indicate bearish control and potential resistance.
Trend Filter / Confirmation:
Uptrend: Look for price consistently staying above the VWMP line. Pullbacks to the VWMP that hold could offer entry opportunities.
Downtrend: Look for price consistently staying below the VWMP line. Rallies to the VWMP that fail could present shorting opportunities.
Use it to filter trades: Only take long trades if price is above VWMP, and short trades if below.
Mean Reversion Potential (Use with Caution):
When price extends significantly far away from the VWMP, some traders might look for potential reversion back towards this volume-based median level.
Important: This should not be used in isolation. Always look for confirmation from other indicators (like RSI, Stochastics, or candlestick patterns) before trading counter-trend reversions.
Confluence with Other Indicators:
VWMP works best when combined with other analysis tools.
Look for confluence: Does the VWMP align with a key Fibonacci level, a standard moving average, or a prior support/resistance zone? This confluence strengthens the level's potential significance.
Considerations
Lookback Period: The length input is crucial. A shorter period makes VWMP more responsive to recent action; a longer period makes it smoother and reflects longer-term volume distribution. Experiment to find what suits your timeframe and trading style.
Lagging Nature: Like all indicators based on past data, VWMP is inherently lagging. It reflects past volume distribution, not the future.
Market Context: Its effectiveness can vary depending on the market conditions (trending vs. ranging) and the asset being traded.
EVOLVema 9/21/200 editable.
highs and lows marked.
market reversals with algo strategy through behavior and delivery.
additionaly asian session highlighted.
SHA Pivot Tracker-[1.4.5]SHA Pivot Tracker
The SHA Pivot Tracker is a powerful all-in-one tool designed to help traders identify key price levels and market behavior with precision. This indicator is ideal for day traders and swing traders who want to gain an edge in the market using critical reference points.
🔍 Features:
- Pivot Points: Automatically plots classic pivot points to identify potential reversal or breakout zones.
- PDH & PDL (Previous Day High & Low): Easily track where price reacted yesterday with clear high and low markers.
- Midnight Open: Marks the open price at midnight (00:00), a key level used by smart money and institutional traders.
- NDOG & NWOG: Visualize the New Day Opening Gap and New Week Opening Gap to spot possible imbalance areas or future price magnet zones.
- Weekly ADR: Displays the Average Daily Range over the week, helping you measure volatility and set realistic price targets.
OneTrend Vegas TunnelOneTrend Vegas Tunnel is a fully on‑chart strategy that combines multi‑timeframe EMAs, volatility channels, and trend‑strength filters to generate clear, rule‑based trade signals.
Key Features
Primary Vegas Tunnel: 144 & 169 period EMAs define a dynamic channel.
Secondary Trend Reference: 576 & 676 period EMAs plotted in gray for long‑term context.
Breakout Filter: 12‑period EMA must break the tunnel alongside price.
Double Confirmation: Manually calculated ADX (26) and RSI (26) ensure only strong breakouts trigger signals.
Neutral Zone Handling: When in a neutral band, the fill retains the last trending color (avoiding whipsaws).
Trade Execution: Entries and exits are aligned exactly with the blue (bullish) and pink (bearish) zones.
