Noro's Trend MAs Strategy v1.8Trade strategy which uses only 2 MA.
The slow MA (blue) is used for definition of a trend
The fast MA (red) is used for an entrance to the transaction
For:
- For H1
- For crypto/fiat or crypto/crypto
- Good for "BTC/USD", "ETH/USD", "ETH/BTC"
Recomended:
Long = true (if it is profitable as a result of backtests)
Short = true (if it is profitable as a result of backtests)
Stops = false
Stop, % = any
OHLC4 = any
Use Fast MA = true
Fast MA Period = 5
Slow MA Period = 21
Bars Q = (2 for "bitcoin/fiat" or 1 for "crypto/fiat" or 0 for "crypto/crypto")
In the new version 1.8
- The second PriceChannel is added
- Profit became more
- Losses became less
- The unnecessary types of MA are removed
Tìm kiếm tập lệnh với "profitable"
Noro's Trend MAs Strategy v1.7Trade strategy which uses only 2 MA.
The slow MA (blue) is used for definition of a trend
The fast MA (red) is used for an entrance to the transaction
For:
- For H1
- For crypto/fiat
Recomended:
Long = true (if it is profitable as a result of backtests)
Short = true (if it is profitable as a result of backtests)
Stops = false
Stop, % = any
Type of slow MA = 7 (only for Crypto/Fiat)
Source of slow MA = close or OHLC4
Use Fast MA = true
Fast MA Period = 5
Slow MA Period = 20
Bars Q = (2 for "BitCoin/Fiat" or 1 for "Fork/Fiat")
In the new version 1.7
+ stoporders
+ entry arrow (black)
Types of slow MA:
1 = SMA = Simple Moving Average
2 = EMA = Exponential Moving Average
3 = VWMA = Volume-Weighted Moving Average
4 = DEMA = Double Exponential Moving Average
5 = TEMA = Triple Exponential Moving Average
6 = KAMA = Kaufman's Adaptive Moving Average
7 = Price Channel
Noro's Trend MAs Strategy v1.6Trade strategy which uses only 2 MA.
The slow MA (blue) is used for definition of a trend
The fast MA (red) is used for an entrance to the transaction
For:
- For H1
- For crypto/fiat
Recomended:
Long = true (if it is profitable as a result of backtests)
Short = true (if it is profitable as a result of backtests)
Type of slow MA = 7 (only for Crypto/Fiat)
Source of slow MA = close or OHLC4
Use Fast MA = true
Fast MA Period = 5
Slow MA Period = 20
Bars Q = (2 for "BitCoin/Fiat" or 1 for "Fork/Fiat")
In the new version 1.5
+ Profit became more
+ Losses became less
+ Alerts
+ Background (lime = uptrend, red = downtrend)
Types of slow MA:
1 = SMA = Simple Moving Average
2 = EMA = Exponential Moving Average
3 = VWMA = Volume-Weighted Moving Average
4 = DEMA = Double Exponential Moving Average
5 = TEMA = Triple Exponential Moving Average
6 = KAMA = Kaufman's Adaptive Moving Average
7 = Price Channel
Noro's Trend MAs Strategy 1.5Trade strategy which uses only 2 MA .
The slow MA (blue) is used for definition of a trend
The fast MA (red) is used for an entrance to the transaction
For:
- For H1
- For crypto/fiat
Recomended:
Long = true (if it is profitable as a result of backtests)
Short = true (if it is profitable as a result of backtests)
Type of slow MA = 7 (only for Crypto/Fiat)
Source of slow MA = clole or OHLC4
Use Fast MA = true
Fast MA Period = 5
Slow MA Period = 20
Bars Q = (2 for "BitCoin/Fiat" or 1 for "Fork/Fiat")
In the new version 1.5
+ Source
+ Types of slow MA
Types of slow MA:
1 = SMA = Simple Moving Average
2 = EMA = Exponential Moving Average
3 = VWMA = Volume-Weighted Moving Average
4 = DEMA = Double Exponential Moving Average
5 = TEMA = Triple Exponential Moving Average
6 = KAMA = Kaufman's Adaptive Moving Average
7 = Price Channel
PS: 100000000%, because of use of a piramiding have turned out
Noro's Trend SMA Strategy v1.4Trade strategy which uses only 2 SMA .
The slow SMA (blue) is used for definition of a trend
The fast SMA (red) is used for an entrance to the transaction
Recomended:
For H1
For crypto/fiat
Long = true (if it is profitable as a result of backtests)
Short = true (if it is profitable as a result of backtests)
Use Fast SMA = true
Fast SMA Period = 5
Slow SMA Period = 20
Bars = (2 for "BitCoin/Fiat" or 1 for "Fork/Fiat")
In the new version 1.4
- Parameters are added
Russian:
Перевожу на понятный. В новой версии 1.4 ничего не поменялось в логике, работает так же. Но добавлены новые параметры, можно поэкспериментировать с настройками, убедиться как что выгоднее.
Есть галка лонг и шорт. По умолчанию обе включены. Если убрать галку лонг, то исчезнут лонги вообще, если убрать шорт, то соответственно исчезнут шорты. По идее галку надо будет снимать если стратегия создает убыточные шорты, то их можно отключить. Смотреть в сводке показателей тестера стратегий профитны они или нет. По идее почти на всех парах крипто/фиат лучше ставить обе галки. Или убирайте галку шорт если не хотите шортить из религиозных соображений.
Добавлена галка отключающая быструю SMA. То есть если галку убрать то стратегия будет её игнорировать. Таким образом, параметр Fast SMA (который 5) перестанет влиять на результаты. Однако, скорее всего без этой галки станет только хуже. Но можете проверить. Позволяет убедиться что входить в сделку по быстрой SMA в среднем немного профитнее, чем входить где попало.
"Bars" - количество свечек одного цвета после после которых будет открываться сделка. По умолчанию 2. Можно от 0 до 3 ставить. Если 0 то цвет свечек игнорируется. Если 3, значит будет ждать 3 красных свечи подряд чтобы открыть лонг. Так же и с зелеными свечами для шорта. 2 - оптимально для пар типа биткойн/фиат. А для пар типа форк/фиат лучше ставить 1 свеча в параметре "Bars".
TZv420simplified version of TZ original. With Alert function
Transient Zones (v420)
I drew the trades on the arrow signals so you can see, its not all win, but with good money management and other ways of finding Target points (MA's or Pivots or Fib or Structure etc)
It is profitable. No repaint, No offset
CCI Level Zero Strategy (by Marcoweb) v1.0Hi guys,
My strategy is ready :)
Finally the zero level of the CCI gives the start and stop to my positions. As you could notice, setting up the CCI length to 340 area on 1 minute chart will let the profit factor go up to 20% from an already wonderful 16%. This is a great result cause will let profitable trades run while stopping the wrong ones with a very limited loss. What makes our profit are not several small little positions that are clearly unrepitable in real trade but few and very profitable positions in which jumping in will be easier due to their length (71 bars average).
Please share with me your impressions and suggestions.
Have a nice trade :)
I_Heikin Ashi CandleWhen apply a strategy to Heikin Ashi Candle chart (HA candle), the strategy will use the open/close/high/low values of the Heikin Ashi candle to calculate the Profit and Loss, hence also affecting the Percent Profitable, Profit Factor, etc., often resulting a unrealistic high Percent Profitable and Profit Factor, which is misleading. But if you want to use the HA candle's values to calculate your indicator / strategy, but pass the normal candle's open/close/high/low values to the strategy to calculate the Profit / Loss, you can do this:
1) set up the main chart to be a normal candle chart
2) use this indicator script to plot a secondary window with indicator looks exactly like a HA-chart
3) to use the HA-candle's open/close/high/low value to calculate whatever indicator you want (you may need to create a separate script if you want to plot this indicator in a separate indicator window)
MACDouble + RSI (rec. 15min-2hr intrv) Uses two sets of MACD plus an RSI to either long or short. All three indicators trigger buy/sell as one (ie it's not 'IF MACD1 OR MACD2 OR RSI > 1 = buy", its more like "IF 1 AND 2 AND RSI=buy", all 3 match required for trigger)
The MACD inputs should be tweaked depending on timeframe and what you are trading. If you are doing 1, 3, 5 min or real frequent trading then 21/44/20 and 32/66/29 or other high value MACDs should be considered. If you are doing longer intervals like 2, 3, 4hr then consider 9/19/9 and 21/44/20 for MACDs (experiment! I picked these example #s randomly).
Ideal usage for the MACD sets is to have MACD2 inputs at around 1.5x, 2x, or 3x MACD1's inputs.
Other settings to consider: try having fastlength1=macdlength1 and then (fastlength2 = macdlength2 - 2). Like 10/26/10 and 23/48/20. This seems to increase net profit since it is more likely to trigger before major price moves, but may decrease profitable trade %. Conversely, consider FL1=MCDL1 and FL2 = MCDL2 + (FL2 * 0.5). Example: 10/26/10 and 22/48/30 this can increase profitable trade %, though may cost some net profit.
Feel free to message me with suggestions or questions.
SPY Master v1.0This is a simple swing trading algorithm that uses a fast RSI-EMA to trigger buy/cover signals and a slow RSI-EMA to trigger sell/short signals for SPY, an xchange-traded fund for the S&P 500.
The idea behind this strategy follows the premise that most profitable momentum trades usually occur during periods when price is trending up or down. Periods of flat price actions are usually where most unprofitable trades occur. Because we cannot predict exactly when trending periods will occur, the algorithm basically bets money on all trade opportunities during all market conditions. Despite an accuracy rate of only 40%, the algorithm's asymmetric risk/reward profile allows the average winner to be 2x the average loser. The end result is a positive (profitable) net payout.
TRADING RULES:
Buy/Cover = EMA3(RSI2) cross> 50
Sell/Short = EMA5(RSI2) cross< 50
BACKTEST SETTINGS:
- Period = March 2011 - Present
- Initial capital = $10,000
- Dividends excluded
- Trading costs excluded
PERFORMANCE COMPARISON:
There are 657 trades, which means 1,314 orders. Assuming each order costs $2 (what I pay for at Interactive Brokers), total trading costs should be $2,628.
-SPY (buy & hold) = 132.73 ---> 193.22 = +45.57% (dividends excluded)
-SPY Master v1.0 = $12,649 - $2,628 = $10,021 = +100.21%
DISCLAIMER: None of my ideas and posts are investment advice. Past performance is not an indication of future results. This strategy was constructed with the benefit of hindsight and its future performance cannot be guaranteed.
Ichimoku EMA BandsSome find Ichimoku Clouds bit complicated. This simplified version is combined with EMA Bands may be profitable. Give a try!. I recommend hourly timeframe for good results. Aye! :D
yuthavithi volatility based force trade scalper strategyI have converted my volatility based force scalper into strategy. Nice to see it is so profitable. Work best with Heikin Ashi bar.
BACKTEST SCRIPT 0.999 ALPHATRADINGVIEW BACKTEST SCRIPT by Lionshare (c) 2015
THS IS A REAL ALTERNATIVE FOR LONG AWAITED TV NATIVE BACKTEST ENGINE.
READY FOR USE JUST RIGHT NOW.
For user provided trading strategy, executes the trades on pricedata history and continues to make it over live datafeed.
Calculates and (plots on premise) the next performance statistics:
profit - i.e. gross profit/loss.
profit_max - maximum value of gross profit/loss.
profit_per_trade - each trade's profit/loss.
profit_per_stop_trade - profit/loss per "stop order" trade.
profit_stop - gross profit/loss caused by stop orders.
profit_stop_p - percentage of "stop orders" profit/loss in gross profit/loss.
security_if_bought_back - size of security portfolio if bought back.
trades_count_conseq_profit - consecutive gain from profitable series.
trades_count_conseq_profit_max - maxmimum gain from consecutive profitable series achieved.
trades_count_conseq_loss - same as for profit, but for loss.
trades_count_conseq_loss_max - same as for profit, but for loss.
trades_count_conseq_won - number of trades, that were won consecutively.
trades_count_conseq_won_max - maximum number of trades, won consecutively.
trades_count_conseq_lost - same as for won trades, but for lost.
trades_count_conseq_lost_max - same as for won trades, but for lost.
drawdown - difference between local equity highs and lows.
profit_factor - profit-t-loss ratio.
profit_factor_r - profit(without biggest winning trade)-to-loss ratio.
recovery_factor - equity-to-drawdown ratio.
expected_value - median gain value of all wins and loss.
zscore - shows how much your seriality of consecutive wins/loss diverges from the one of normal distributed process. valued in sigmas. zscore of +3 or -3 sigmas means nonrandom realitonship of wins series-to-loss series.
confidence_limit - the limit of confidence in zscore result. values under 0.95 are considered inconclusive.
sharpe - sharpe ratio - shows the level of strategy stability. basically it is how the profit/loss is deviated around the expected value.
sortino - the same as sharpe, but is calculated over the negative gains.
k - Kelly criterion value, means the percentage of your portfolio, you can trade the scripted strategy for optimal risk management.
k_margin - Kelly criterion recalculated to be meant as optimal margin value.
DISCLAIMER :
The SCRIPT is in ALPHA stage. So there could be some hidden bugs.
Though the basic functionality seems to work fine.
Initial documentation is not detailed. There could be english grammar mistakes also.
NOW Working hard on optimizing the script. Seems, some heavier strategies (especially those using the multiple SECURITY functions) call TV processing power limitation errors.
Docs are here:
docs.google.com
CM Stochastic POP Method 1 - Jake Bernstein_V1A good friend ucsgears recently published a Stochastic Pop Indicator designed by Jake Bernstein with a modified version he found.
I spoke to Jake this morning and asked if he had any updates to his Stochastic POP Trading Method. Attached is a PDF Jake published a while back (Please read for basic rules, which also Includes a New Method). I will release the Additional Method Tomorrow.
Jake asked me to share that he has Updated this Method Recently. Now across all symbols he has found the Stochastic Values of 60 and 30 to be the most profitable. NOTE - This can be Significantly Optimized for certain Symbols/Markets.
Jake Bernstein will be a contributor on TradingView when Backtesting/Strategies are released. Jake is one of the Top Trading System Developers in the world with 45+ years experience and he is going to teach how to create Trading Systems and how to Optimize the correct way.
Below are a few Strategy Results....Soon You Will Be Able To Find Results Like This Yourself on TradingView.com
BackTesting Results Example: EUR-USD Daily Chart Since 01/01/2005
Strategy 1:
Go Long When Stochastic Crosses Above 60. Go Short When Stochastic Crosses Below 30. Exit Long/Short When Stochastic has a Reverse Cross of Entry Value.
Results:
Total Trades = 164
Profit = 50, 126 Pips
Win% = 38.4%
Profit Factor = 1.35
Avg Trade = 306 Pips Profit
***Most Consecutive Wins = 3 ... Most Consecutive Losses = 6
Strategy 2:
Rules - Proprietary Optimization Jake Will Teach. Only Added 1 Additional Exit Rule.
Results:
Total Trades = 164
Profit = 62, 876 Pips!!!
Win% = 38.4%
Profit Factor = 1.44
Avg Trade = 383 Pips Profit
***Most Consecutive Wins = 3 ... Most Consecutive Losses = 6
Strategy 3:
Rules - Proprietary Optimization Jake Will Teach. Only added 1 Additional Exit Rule.
Results:
Winning Percent Increases to 72.6%!!! , Same Amount of Trades.
***Most Consecutive Wins = 21 ...Most Consecutive Losses = 4
Indicator Includes:
-Ability to Color Candles (CheckBox In Inputs Tab)
Green = Long Trade
Blue = No Trade
Red = Short Trade
-Color Coded Stochastic Line based on being Above/Below or In Between Entry Lines.
Link To Jakes PDF with Rules
dl.dropboxusercontent.com
Vervoort Heiken Ashi Candlestick OscillatorHeiken-Ashi Candlestick Oscillator (HACO), by Sylvian Vervoort, is a digital oscillator version of the colored candlesticks.
Explanation from Vervoort:
"HACO is not meant to be an automatic trading system, so when there is a buy or sell signal from HACO, make sure it is confirmed by other TA techniques. HACO will certainly aid in signaling buy/sell opportunities and help you hold on to a trade, making it more profitable. The behavior of HACO is closely related to the level and speed of price change. It can be used on charts of any time frame ranging from intraday to monthly."
HACO has 2 configurable length parameters - "UP TEMA length" and "Down TEMA length". Vervoort suggests having them the same value.
I have also added an option to color the bars (overlay mode).
More info:
Trading with the Heiken-Ashi Candlestick Oscillator - Sylvian Vervoort
List of my other indicators:
- GDoc: docs.google.com
- Chart:
DEnvelope [Better Bollinger Bands]*** ***
Bollinger Bands (BB) usually expand quickly after a volatility increase but contract more slowly as volatility declines. This extended time it takes for BB to contract after a volatility drop can make trading some instruments using BB alone difficult or less profitable.
In the October 1998 issue of "Futures" there is an article written by Dennis McNicholl called "Better Bollinger Bands", in which the author recommends improving BB by modifying:
- the center line formula &
- different equations for calculating the bands.
These bands, called "DEnvelope", follow price more closely and respond faster to changes in volatility with these modifications.
Fore more indicators, check out my "Master Index of indicators" (Also check my published charts page for new ones I haven't added to that list):
More scripts related to DEnvelope:
------------------------------------------------
- DEnvelope Bandwidth: pastebin.com
- DEnvelope %B : pastebin.com
Sample chart with above indicators: www.tradingview.com
[TehThomas] - Order Blocks█ OVERVIEW
This Order Blocks indicator identifies institutional-level support and resistance zones using fractal pattern recognition combined with Fair Value Gap (FVG) filtering. Order blocks represent areas where large institutional orders have been placed, creating significant price reactions when retested. This indicator uses a 5-bar fractal pattern to detect market structure breaks and highlights the last bearish or bullish candle before a strong impulse move.
█ KEY FEATURES
- Fractal-Based Detection: Uses 5-candle fractal patterns to identify key market structure highs and lows
- FVG Filtering: Optional Fair Value Gap confirmation ensures order blocks are followed by true market imbalances
- Automatic Mitigation: Order blocks are automatically removed when price breaks through them
- Overlap Prevention: Prevents cluttered charts by avoiding overlapping order block zones
- Customizable Display: Full control over colors, labels, line heights (body/wick), and maximum blocks shown
- Dual Polarity: Detects both bullish (OB+) and bearish (OB-) order blocks independently
█ HOW IT WORKS
The indicator scans price action for fractal patterns where the middle candle forms a local extreme (highest high or lowest low among 5 bars). When price breaks above a fractal high or below a fractal low, the script identifies the last opposing candle in the impulse move as the order block.
For bearish order blocks, it finds the highest bullish candle before a fractal low is broken, marking institutional selling pressure. For bullish order blocks, it locates the lowest bearish candle before a fractal high is breached, indicating institutional buying.
When FVG filtering is enabled, the indicator confirms that a Fair Value Gap (a 3-candle imbalance where price leaves an unfilled gap) occurred within the specified distance from the order block. This combination increases the probability that institutional traders are present in these zones.
█ SETTINGS
Bullish Order Block Settings
- Show/hide bullish order blocks
- Customize fill color and border color
- Toggle OB+ label display
Bearish Order Block Settings
- Show/hide bearish order blocks
- Customize fill color and border color
- Toggle OB- label display
Label Settings
- Label size: Tiny, Small, Normal, or Large
- Label text color customization
General Settings
- Bars Back to Check (10-200): Lookback period for order block detection
- Filter by FVG: Requires Fair Value Gap confirmation
- Max Bars Between OB and FVG (1-6): Distance tolerance for FVG filtering
- Line Height: Choose between Body or Wick for order block boundaries
- Prevent Overlapping OBs: Avoids drawing overlapping zones
- Max Order Blocks to Display (1-50): Limits active blocks on chart
- Length of Boxes (10-100): Horizontal projection length
█ HOW TO USE
1. Add the indicator to your TradingView chart
2. Configure settings based on your trading timeframe and style
3. Watch for OB+ labels (bullish order blocks) as potential support zones where price may bounce
4. Watch for OB- labels (bearish order blocks) as potential resistance zones where price may reverse
5. Wait for price retracement to the order block zone before taking entries
6. Use confirmation signals like volume spikes or reversal patterns at the order block
7. Place stop loss just outside the order block boundary to manage risk
8. Monitor mitigation: Order blocks disappear when price breaks through them completely
█ TRADING STRATEGY EXAMPLES
Bullish Order Block Strategy
Wait for a market structure shift from bearish to bullish. When price creates a bullish impulse breaking a fractal high, identify the OB+ zone. Enter long positions when price retraces to test the bullish order block, placing stop loss 10-20 pips below the zone's low. Target previous highs or resistance levels.
Bearish Order Block Strategy
Monitor for market structure shift from bullish to bearish. After price creates a bearish impulse breaking a fractal low, locate the OB- zone. Enter short positions when price retraces to test the bearish order block, placing stop loss 10-20 pips above the zone's high. Target previous lows or support levels.
FVG-Confirmed Entries
Enable FVG filtering to only display order blocks validated by Fair Value Gaps. These aligned setups increase probability as they combine institutional order placement with market inefficiencies. Trade retracements to these high-confluence zones for better risk-reward ratios.
█ IDEAL FOR
- ICT Traders: Follows Inner Circle Trader methodology for institutional order flow
- Smart Money Concepts: Tracks where large players place orders
- Swing Traders: Identifies key support/resistance for multi-day holds
- Price Action Traders: Pure chart-based approach without lagging indicators
- Breakout Traders: Confirms structure breaks with fractal patterns
- Forex, Crypto, and Stock Markets: Works on all liquid markets and timeframes
█ TECHNICAL SPECIFICATIONS
- Max Boxes: 500
- Max Labels: 500
- Detection Method: 5-bar fractal pattern recognition
- Mitigation Logic: Automatic removal when price breaks order block boundaries
- Time Projection: Uses time offset calculations for box extension
- Array Management: Dynamic array cleanup to prevent memory issues
█ NOTES & DISCLAIMERS
- Order blocks work best when combined with overall market context and trend analysis
- Not all order blocks result in price reversals; use proper risk management
- FVG filtering may reduce the number of signals but increases quality
- Fractal patterns require 5 bars to form, causing a 2-bar delay in detection
- Works optimally on higher timeframes (4H, Daily) for institutional footprints
- This indicator does not guarantee profitable trades; always use stop losses
- Past performance of order blocks does not predict future results
- Compatible with other ICT concepts like liquidity sweeps and market structure
Neeson Mayer MultipleIntegrating the Mayer Multiple Indicator: A Practical Guide for Market Analysis
Introduction
The Mayer Multiple indicator is a specialized tool designed to assess asset valuations relative to their long-term historical trends. By comparing current price action against a long-term simple moving average, this indicator provides a quantitative framework for identifying potential overbought and oversold conditions. This article explains the rationale behind its design, operational mechanics, practical applications, and unique value proposition.
Purpose and Functionality
The primary function of the Mayer Multiple indicator is to measure how far current prices deviate from a long-term moving average, expressed as a ratio. This measurement helps traders and investors identify:
Extreme valuation levels that may signal potential reversal points
Long-term trend strength and sustainability
Market psychology shifts between fear and greed cycles
Originally popularized in Bitcoin analysis, the indicator's principles apply to any volatile asset class where mean reversion tendencies exist alongside strong trend characteristics.
Operational Principles
The indicator operates through several interconnected components:
Core Calculation Mechanism
At its heart, the indicator calculates the Mayer Multiple by dividing the current closing price by a configurable simple moving average (default: 200 periods). This ratio represents how many times the current price exceeds its long-term average, providing an immediate visual reference for valuation extremes.
Multi-Level Threshold System
Four configurable thresholds create distinct market condition zones:
Optimal Buy Zone (default: 0.7) - Historically extreme undervaluation
Undervalued Zone (default: 1.0) - Moderate undervaluation
Overvalued Zone (default: 2.4) - Moderate overvaluation
Optimal Sell Zone (default: 3.5) - Historically extreme overvaluation
These thresholds create a graduated scale of market conditions rather than binary signals.
Visual Signal Hierarchy
A sophisticated color-coding system prioritizes different signal types based on their significance:
White/Gray: Neutral territory (between undervalued and overvalued thresholds)
Aqua: Entering undervalued territory (potential accumulation zone)
White: Reaching optimal buying conditions (historically rare opportunities)
Yellow: Entering overvalued territory (potential distribution zone)
Orange: Reaching optimal selling conditions (historically rare extremes)
Green: Emerging from optimal buying conditions (momentum shift confirmation)
Red: Retreating from optimal selling conditions (momentum reversal confirmation)
This hierarchy helps users distinguish between entry signals, exit signals, and confirmation signals.
Integration Rationale
The integration of these components follows a logical progression:
Mathematical Foundation
The moving average provides a stable reference point that filters out short-term noise while maintaining sensitivity to long-term trend changes. The ratio format normalizes values across different price levels and timeframes, enabling cross-asset comparisons.
Behavioral Finance Alignment
The threshold system corresponds to documented market psychology patterns. The extreme thresholds (optimal buy/sell) represent points where fear or greed typically reach maximum intensity, while the moderate thresholds represent early warning levels.
Progressive Signal Detection
The indicator tracks both threshold breaches and retreats from extreme zones. This dual-tracking approach captures not only when conditions become extreme but also when they begin to normalize—often the most actionable moments for position adjustments.
Component Synergy
The indicator's components work together through a continuous feedback loop:
Calculation Engine: Continuously computes the core ratio, serving as the foundation for all subsequent analysis.
Threshold Comparator: Compares the current ratio against user-defined thresholds, categorizing market conditions in real-time.
Signal Generator: Identifies specific events (threshold crossings, zone entries/exits) and assigns appropriate visual representations.
Visual Renderer: Displays the information through colored histograms, reference lines, and data tables, creating an intuitive interface.
Alert System: Monitors for predefined conditions and notifies users of significant developments without requiring constant screen monitoring.
This integrated approach transforms raw price data into structured, actionable information while maintaining mathematical rigor and visual clarity.
Practical Application Guidelines
Parameter Customization
Users should adjust parameters based on:
Asset volatility (higher volatility assets may require wider thresholds)
Timeframe (longer timeframes may benefit from longer moving averages)
Personal risk tolerance (conservative traders may use tighter thresholds)
Signal Interpretation Framework
Zone-Based Analysis: Focus on which zone the indicator occupies rather than chasing individual data points
Confirmation Seeking: Use extreme zone signals (white/orange) as alerts for further analysis rather than automatic trade triggers
Momentum Assessment: Observe how quickly the indicator moves between zones as a measure of trend strength
Complementary Tools
The Mayer Multiple works best when combined with:
Volume analysis to confirm participation during extreme readings
Momentum indicators to identify potential divergence
Support/resistance levels for precise entry/exit timing
Fundamental analysis for context validation
Distinctive Attributes
Original Implementation Features
Progressive Color System: Unlike binary indicators, this implementation provides graduated signals through a carefully prioritized color hierarchy.
Dual-Signal Detection: The indicator captures both threshold breaches and retreats, offering insights into momentum shifts rather than just static levels.
Contextual Display: The integrated data table provides immediate access to key metrics without cluttering the chart space.
Customizable Framework: All thresholds and calculation periods are adjustable, allowing adaptation to different market regimes and trading styles.
Practical Innovation
The indicator's design emphasizes usability through:
Immediate visual comprehension via color coding
Clear separation between alert conditions and confirmation signals
Balanced information density (sufficient data without overload)
Flexible integration with existing trading workflows
Responsible Usage Considerations
Empirical Perspective
Historical analysis suggests that assets frequently revert toward their long-term moving averages, but the timing and extent of such reversions vary significantly. The indicator identifies statistical extremes rather than predicting immediate price movements.
Risk Management Integration
Users should:
Treat extreme readings as risk management triggers rather than directional forecasts
Consider position sizing based on distance from the moving average
Implement stop-loss strategies regardless of indicator readings
Avoid allocating excessive weight to any single indicator
Performance Realism
The indicator does not guarantee profitable outcomes. Its value lies in providing structured information about valuation extremes, which must be interpreted within broader market context and individual risk parameters.
Conclusion
The Mayer Multiple indicator represents a thoughtfully integrated approach to long-term valuation analysis. By combining mathematical rigor with behavioral insights and practical visualization, it provides traders with a structured framework for assessing market extremes. Its modular design allows customization while maintaining core analytical integrity, and its emphasis on graduated signals helps avoid the oversimplification common in technical indicators. When used as part of a comprehensive trading methodology with appropriate risk management, it can contribute valuable perspective to the decision-making process.
Gap Hunter Pro [Auto-Alerts + Fill Detection]Gap trading is profitable, but staring at charts waiting for a fill is tedious.
Gap Hunter Pro automates the process by instantly detecting valid gaps, drawing dynamic support/resistance zones, and alerting you exactly when action happens. Unlike standard gap indicators, this script manages the lifecycle of the gap—tracking it from creation to partial entry, and finally removing it once it is fully filled.
Key Features:
🚀 Smart Detection: Automatically finds "Gap Ups" and "Gap Downs" based on your custom threshold (filter out small noise).
🔔 Dual Alerts:
Entry Alert: Get notified the moment price touches the gap zone.
Fill Alert: Get a second notification when the gap is 100% closed (filled).
🧹 Auto-Cleanup: Zones automatically delete themselves from the chart once filled, keeping your workspace clean.
🎨 Fully Customizable: Control colors, border thickness, history depth, and text labels.
How to Use:
Add to Chart: Works on any timeframe (15m recommended for Day Trading, Daily for Swing).
Adjust Settings: Set "Max Gaps to Keep" to control history depth.
Set the Alert (Crucial):
Click the Alert button in TradingView.
Condition: Select Gap Hunter Pro.
Action: Select "Any alert() function call".
You now have a fully automated gap scanner running 24/7.
Gold Timing Composite (EURUSD + DXY + US02Y)Here's the publication-ready description for TradingView:
Gold Timing Composite Indicator - 3-Component Model
Overview
A precision-engineered multi-component oscillator designed specifically for intraday gold trading. This indicator synthesizes three critical market drivers—EUR/USD dynamics, broad US Dollar strength, and Treasury yield movements—to isolate genuine gold price catalysts from market noise, delivering high-probability timing signals through triple-layer confirmation.
Components & Methodology
The indicator employs z-score normalization (default 20-period lookback) to harmonize three distinct but correlated market signals into a unified composite reading:
Fast Price Discovery Signal (40%):
EURUSD (40%) - EUR/USD captures rapid USD repricing with the deepest FX liquidity globally
Broad USD Strength Confirmation (35%):
-DXY (35%) - Inverted US Dollar Index measures comprehensive USD strength across six major currencies (EUR 57%, JPY 14%, GBP 12%, CAD 9%, SEK 4%, CHF 4%)
Real Yield Proxy (25%):
-US02Y (25%) - Inverted 2-Year Treasury yield captures Fed policy expectations and real rate dynamics
Key Features
✅ Dual USD Validation - EURUSD (speed) + DXY (breadth) filter EUR-specific moves from true USD weakness
✅ Real Yield Sensitivity - US02Y isolates rate-driven gold moves from pure currency effects
✅ Triple Confirmation System - Visual alignment dots when all three components agree simultaneously
✅ Mean-Reversion Zones - Overbought/oversold thresholds at ±1.5 standard deviations
✅ Clean Visualization - Candle-based display (no wicks) for rapid pattern recognition
✅ EUR/USD Divergence Detection - Identifies when EURUSD moves are EUR-specific vs broad USD moves
How to Use
Basic Signals:
Green candles = Bullish gold pressure (USD weakening / yields falling)
Red candles = Bearish gold pressure (USD strengthening / yields rising)
Above +1.5 = Overbought zone → look for mean-reversion shorts
Below -1.5 = Oversold zone → look for mean-reversion longs
High-Confidence Setups (Alignment Dots):
Lime dot at top = All 3 components bullish → maximum gold long confidence
Magenta dot at bottom = All 3 components bearish → maximum gold short confidence
No dots = Components diverging → reduce position size or wait for clarity
Divergence Trading:
Gold makes new high but composite doesn't confirm → potential reversal down
Gold makes new low but composite doesn't confirm → potential reversal up
Understanding Component Interactions
Normal Correlation (High Confidence):
EURUSD ↑ + DXY ↓ + US02Y ↓ → Broad USD weakness + falling yields → Strong gold bull signal
EURUSD ↓ + DXY ↑ + US02Y ↑ → Broad USD strength + rising yields → Strong gold bear signal
EURUSD/DXY Divergence (Critical Filter):
EURUSD ↑ but DXY flat/up → EUR-specific strength (ECB, Eurozone news) → Weak gold signal
DXY flat = USD not actually weak, just EUR strong → Gold may not follow EURUSD
EURUSD flat but DXY ↓ → Broad USD weakness (JPY, GBP, CAD all strong) → Strong gold signal
True USD weakness beyond just EUR → High-probability gold long
FX vs Yields Divergence:
EURUSD ↑ + DXY ↓ but US02Y ↑ → USD weak in FX but yields rising → Mixed signal
Hawkish Fed repricing vs currency weakness → Medium confidence, smaller size
EURUSD ↓ + DXY ↑ but US02Y ↓ → USD strong but yields falling → Conflicting drivers
Could be risk-off (safe haven bid to Treasuries) → Analyze broader market context
Best Practices
Timeframes: 5-minute to 15-minute charts for intraday trading
Session Focus: London fix (10:30 AM GMT) and New York open (8:20 AM EST) for peak gold liquidity
Pair With:
Key gold technical levels (round numbers, previous highs/lows)
COMEX gold futures volume profile
Real yield charts (when available)
VIX for risk sentiment context
Risk Management:
Full position: When alignment dots appear (all 3 components agree)
Half position: When 2 of 3 components align
Wait/reduce: When all three components diverge
Weight Adjustments:
Fed announcement days (FOMC, CPI, NFP): Increase US02Y to 35%, reduce EURUSD to 35%
ECB policy days: Monitor EURUSD/DXY divergence closely (EUR-specific moves may not affect gold)
Geopolitical events: DXY and yields may diverge (safe-haven flows) → Focus on DXY + yields, reduce EURUSD weight
Asian session: EURUSD less reliable (lower liquidity), consider increasing DXY weight to 45%
Technical Details
Calculation Method: Z-score normalization with configurable lookback period
Default Weights: EURUSD 40% | -DXY 35% | -US02Y 25%
Extreme Threshold: ±1.5 standard deviations (adjustable)
Alignment Trigger: All 3 components in unanimous agreement
Customizable Parameters:
Z-score lookback period (default: 20)
15-20: Faster, more sensitive (intraday focus)
30-50: Slower, smoother (swing trade context)
Individual component weights
Extreme threshold levels (1.3 for more signals, 1.8 for extremes only)
Alignment indicator toggle
Advantages Over Simple Indicators
Unlike single-instrument or DXY-only indicators, this composite:
Filters EUR-specific noise - When EURUSD moves but DXY doesn't confirm, gold often doesn't follow
Combines speed + breadth - EURUSD for fast entries, DXY for broad confirmation
Isolates real yield drivers - US02Y separates rate-driven moves from pure FX effects
Identifies regime shifts - When FX and yields diverge, signals changing market dynamics
Adaptable weighting - Adjust for different sessions, events, or market regimes
Real-World Signal Examples
Example 1: High-Confidence Long (All Aligned)
Fed dovish surprise → US02Y falls sharply
USD sells off → EURUSD rises + DXY falls
Composite surges, lime dot appears
Action: Full position gold long
Example 2: False Signal (EUR-Specific)
ECB hawkish statement → EURUSD rallies
But DXY unchanged (JPY, GBP, CAD not moving)
US02Y also unchanged
Composite rises but no alignment dot
Action: Small/no gold position (move is EUR-specific, not USD weakness)
Example 3: Mixed Signal (FX vs Yields)
Strong US jobs data → US02Y spikes (bearish gold)
But USD sells off in FX → EURUSD up + DXY down (bullish gold)
Composite shows divergence, no dots
Action: Wait for clarity or trade with tight stops
Example 4: Divergence Entry
Gold makes new intraday high
But composite fails to confirm (makes lower high)
Bearish divergence forms
Action: Short gold on next pullback
Suggested Complementary Analysis
Fundamental:
Fed vs ECB policy divergence and forward guidance
Real yield trends (10Y TIPS when available)
Inflation expectations (breakevens)
Central bank balance sheet changes
Geopolitical risk premium
Technical:
Gold futures COT (Commitment of Traders) positioning
COMEX gold open interest
Gold/Silver ratio
Mining stock performance (GDX, GDXJ)
Intermarket:
US equity market performance (risk-on/risk-off context)
Crude oil (inflation proxy)
Copper (growth expectations)
Bitcoin correlation (alternative store of value narrative)
Limitations & Considerations
When the Indicator Struggles:
Flash crashes or circuit breakers - Extreme events can break normal correlations temporarily
Asian session gaps - Lower EURUSD liquidity can cause false signals
Central bank interventions - SNB or BOJ FX intervention distorts DXY temporarily
Geopolitical shocks - Gold can decouple from USD/yields during wars, crises (safe-haven bid)
Quarter-end flows - Rebalancing can create temporary USD moves unrelated to fundamentals
Best Used When:
Normal market conditions (liquid sessions, no major shocks)
Clear trending or mean-reverting environment
Components showing consistent correlations
Combined with price action and volume confirmation
Performance Optimization Tips
Backtest your timeframe - Test 15-25 lookback periods to find optimal sensitivity
Session-specific weights - Use different weight profiles for London vs New York vs Asia
Combine with price action - Don't trade composites alone; wait for gold to confirm with candle patterns
Monitor component correlations - If EURUSD/DXY correlation breaks down, reduce both weights temporarily
Use with stop-loss discipline - Composite extremes suggest mean-reversion, but trends can extend
Disclaimer
This indicator is a technical analysis tool and does not guarantee profitable trades. Gold markets are influenced by numerous factors including geopolitics, central bank policy, inflation, and market sentiment that cannot be fully captured by any indicator. Always employ proper risk management, position sizing, and stop-losses. Backtest thoroughly before live implementation. Past performance is not indicative of future results.
Credits
Developed for intraday precious metals traders seeking multi-factor confirmation for gold timing decisions. Built on intermarket analysis principles combining currency dynamics, interest rate differentials, and statistical normalization for robust signal generation. Designed to filter EUR-specific noise and isolate true USD weakness—the primary driver of gold price movements.
Version: 1.0
Pine Script Version: 6
Asset Class: Precious Metals (Gold, Silver)
Category: Oscillators, Multi-Timeframe Analysis, Intermarket Analysis
Use Case: Intraday mean-reversion and momentum timing for gold (XAUUSD, GC futures)
Trading gold with this indicator? Share your results, questions, or improvement suggestions in the comments!
EURUSD Timing Composite (5-Component)Overview
An advanced multi-component oscillator designed specifically for intraday EURUSD trading. This indicator synthesizes four correlated FX pairs plus US yield dynamics to isolate genuine EUR strength and USD weakness from market noise, providing high-probability timing signals through multi-layer cross-validation.
Components & Methodology
The indicator employs z-score normalization (default 20-period lookback) to harmonize five distinct market signals into a unified composite reading:
Primary USD Strength Signals (50%):
GBPUSD (25%) - GBP/USD serves as a USD strength proxy with high correlation to EURUSD
-USDCHF (25%) - Inverted USD/CHF provides independent USD strength confirmation
Yield Differential Signal (25%):
-US02Y (25%) - Inverted 2-Year Treasury yield captures Fed policy expectations and rate differentials
EUR-Specific Strength Signals (25%):
EURGBP (12.5%) - EUR/GBP isolates EUR performance against its closest rival
EURCHF (12.5%) - EUR/CHF confirms broad EUR strength beyond USD dynamics
Key Features
✅ Triple-Layer Validation - Combines USD FX signals, yield differentials, and EUR crosses
✅ Rate Differential Integration - Captures Fed policy repricing and carry trade dynamics
✅ Cross-Pair Confirmation - Filters false signals from GBP/CHF-specific events
✅ Alignment Indicator - Visual dots highlight when 4+ components agree (high-confidence setups)
✅ Mean-Reversion Zones - Overbought/oversold thresholds at ±1.5 standard deviations
✅ Clean Visualization - Candle-based display (no wicks) for rapid interpretation
How to Use
Basic Signals:
Green candles = Bullish EURUSD pressure (EUR strengthening / USD weakening / yields falling)
Red candles = Bearish EURUSD pressure (EUR weakening / USD strengthening / yields rising)
Above +1.5 = Overbought zone → look for mean-reversion shorts
Below -1.5 = Oversold zone → look for mean-reversion longs
High-Confidence Setups (Alignment Dots):
Lime dot at top = 4+ components bullish → strong long bias
Magenta dot at bottom = 4+ components bearish → strong short bias
No dots = Mixed signals → reduce position size or wait for clarity
Divergence Trading:
EURUSD makes new high but composite doesn't confirm → potential reversal down
EURUSD makes new low but composite doesn't confirm → potential reversal up
Best Practices
Timeframes: 5-minute to 15-minute charts for intraday trading
Session Focus: London session and London/New York overlap (peak EUR liquidity)
Pair With: Key technical levels, pivot points, or session open ranges
Risk Management: Scale position size based on alignment strength (larger when dots appear)
Component Interpretation:
GBPUSD + USDCHF + US02Y all aligned = USD-driven move (highest confidence)
EURGBP + EURCHF both strong = EUR-specific strength (independent of USD)
All five aligned = Maximum confidence (broad market agreement)
FX pairs vs yields diverging = Mixed regime (be cautious)
Weight Adjustments:
Fed data days (CPI, NFP, FOMC): Increase US02Y weight to 35%, reduce FX to 20% each
Brexit/BOE events: Reduce GBPUSD to 15%, increase EURCHF to 20%
ECB policy days: Increase EUR cross weights (EURGBP/EURCHF) to 17.5% each
SNB intervention risk: Monitor USDCHF and EURCHF for anomalies
Technical Details
Calculation Method: Z-score normalization with configurable lookback period
Default Weights: GBPUSD 25% | -USDCHF 25% | -US02Y 25% | EURGBP 12.5% | EURCHF 12.5%
Extreme Threshold: ±1.5 standard deviations (adjustable)
Alignment Trigger: 4 out of 5 components in agreement
Customizable Parameters:
Z-score lookback period (default: 20)
Individual component weights
Extreme threshold levels
Alignment indicator toggle
Advantages Over Simple Indicators
Unlike single-pair or DXY-based indicators, this composite:
Integrates yield dynamics - Captures Fed repricing that drives USD independently of FX flows
Isolates EUR strength - EUR crosses separate EUR-specific moves from USD dynamics
Triple confirmation - FX pairs + yields + EUR crosses must align for high-confidence signals
Filters rate/FX divergence - When yields and FX disagree, indicator shows mixed signals
Regime adaptability - Adjustable weights for different market conditions
Understanding Component Relationships
Normal Correlation Environment:
GBPUSD ↑ + USDCHF ↓ + US02Y ↓ → USD weakness → EURUSD ↑
EURGBP ↑ + EURCHF ↑ → EUR strength → EURUSD ↑
When Components Diverge (Critical Signals):
FX says USD weak, but US02Y rising → Yields attracting capital despite FX → Weak EURUSD signal
GBPUSD ↑ but EURGBP ↓ → GBP-specific strength, not EUR → Neutral for EURUSD
Only yields moving, FX flat → Pure rate story, wait for FX confirmation
Only EUR crosses rising → EUR strength independent of USD → Strong EUR-specific signal
Regime Examples:
Fed hawkish surprise: US02Y spikes (bearish), FX confirms → Strong EURUSD short
ECB policy shift: EURGBP/EURCHF move, but USD signals mixed → EUR-specific trade
Risk-off: All USD signals bullish, EUR crosses bearish → Maximum EURUSD short confidence
Suggested Complementary Analysis
ECB vs Fed policy divergence and forward guidance
US-Germany 2-year yield differential
European equity market performance (Euro Stoxx 50)
EUR-denominated commodity prices
PMI differentials (Eurozone vs US)
Political risk events (elections, Brexit, fiscal policy)
Real yield differentials (when TIPS data available)
Limitations & Considerations
Fed/ECB simultaneous announcements can create temporary whipsaws
Brexit volatility may distort GBPUSD signals (reduce weight during UK events)
SNB interventions spike USDCHF/EURCHF (monitor for anomalies)
Yield curve inversions may affect US02Y signal interpretation
Works best in normal conditions (less reliable during market dislocations)
Requires understanding of intermarket dynamics for optimal use
Disclaimer
This indicator is a technical analysis tool and does not guarantee profitable trades. Always employ proper risk management, monitor fundamental developments, and backtest strategies thoroughly before live implementation. Past performance is not indicative of future results.
Credits
Engineered for intraday FX traders seeking multi-factor confirmation for EURUSD timing decisions. Built on intermarket analysis principles combining correlated currency pairs, yield differentials, and statistical normalization for robust signal generation.
Version: 1.0
Pine Script Version: 6
Category: Oscillators, Multi-Timeframe Analysis, Interest Rate Analysis
Use Case: Intraday mean-reversion and momentum timing for EURUSD
Questions, improvement ideas, or want to share your results? Comment below!
USDJPY Timing Composite (5-Component)Overview
A sophisticated multi-component oscillator designed specifically for intraday USDJPY trading. This indicator combines five key market drivers to provide high-probability timing signals by isolating true USD strength and JPY weakness from noise.
Components & Methodology
The indicator uses z-score normalization (default 20-period lookback) to make five distinct market signals comparable and combines them into a single composite reading:
Primary USD Strength Signals (60%):
-EURUSD (30%) - Inverted EUR/USD measures USD strength against the Euro
USDCHF (30%) - USD strength against the Swiss Franc
Yield Differential (25%):
US02Y (25%) - 2-Year Treasury yield captures Fed policy expectations and carry trade dynamics
JPY Weakness Confirmation (15%):
CHFJPY (7.5%) - CHF/JPY cross isolates JPY-specific weakness
EURJPY (7.5%) - EUR/JPY cross provides additional JPY context
Key Features
✅ Multi-Source Validation - Separates real USD strength from currency-specific noise
✅ JPY Context Filter - Confirms whether moves are driven by USD strength, JPY weakness, or both
✅ Alignment Indicator - Visual dots show when 4+ components agree (high-confidence setups)
✅ Mean-Reversion Zones - Overbought/oversold thresholds at ±1.5 standard deviations
✅ Clean Visualization - Candle-based display (no wicks) for easy interpretation
How to Use
Basic Signals:
Green candles = Bullish USDJPY pressure (USD strengthening / JPY weakening)
Red candles = Bearish USDJPY pressure (USD weakening / JPY strengthening)
Above +1.5 = Overbought zone → look for mean-reversion shorts
Below -1.5 = Oversold zone → look for mean-reversion longs
High-Confidence Setups (Alignment Dots):
Lime dot at top = 4+ components bullish → strong long bias
Magenta dot at bottom = 4+ components bearish → strong short bias
No dots = Mixed signals → reduce position size or wait for clarity
Divergence Trading:
USDJPY makes new high but composite doesn't confirm → potential reversal down
USDJPY makes new low but composite doesn't confirm → potential reversal up
Best Practices
Timeframes: 5-minute to 15-minute charts for intraday trading
Session Focus: London and New York overlap (peak liquidity)
Pair With: Support/resistance levels, volume profile, or session highs/lows
Risk Management: Use alignment indicator to size positions (larger size when dots present)
Weight Adjustments:
Fed data days (CPI, NFP, FOMC): Increase US02Y weight to 30-35%
Pure FX sessions: Increase -EURUSD/USDCHF weights to 35% each
Risk-off events: Monitor CHFJPY/EURJPY for safe-haven JPY flows
Technical Details
Calculation Method: Z-score normalization with configurable lookback period
Default Weights: -EURUSD 30% | USDCHF 30% | US02Y 25% | CHFJPY 7.5% | EURJPY 7.5%
Extreme Threshold: ±1.5 standard deviations (adjustable)
Alignment Trigger: 4 out of 5 components in agreement
Customizable Parameters:
Z-score lookback period (default: 20)
Individual component weights
Extreme threshold levels
Alignment indicator on/off
Advantages Over Simple Indicators
Unlike single-pair or DXY-based indicators, this composite:
Filters false signals - USD strength confirmed by two independent FX pairs
Identifies source of moves - Separates USD dynamics from JPY-specific flows
Reduces noise - JPY crosses prevent misreading EUR/CHF weakness as USD strength
Adapts to regimes - Adjustable weights for different market conditions
Suggested Complementary Analysis
Price action at key technical levels
Session opening ranges
Economic calendar (especially Fed events)
Correlation with US equity markets during risk-off periods
Intermarket analysis with JGB yields for JPY policy context
Disclaimer
This indicator is a technical analysis tool and does not guarantee profitable trades. Always use proper risk management, consider fundamental factors, and backtest any strategy before live trading. Past performance does not indicate future results.






















