Alpha Trader v3.0Alpha Trader is a trend following strategy which identifies good time to take profit and allow trader to ride the trend with multiple re-entry points.
Features
Entry and Exit signals
Multiple Re-Entry points
Built in Risk Management
Position sizing for every entry
Alerts with Stop Loss and Position size
Strategy has built-in risk management with dynamic trailing Stop Loss and Position sizing. You just need to specify what percentage of your capital you are willing to risk on new position and re-entries.
Strategy will evaluate the maximum position you should take for specific signal.
Position and stop Loss levels are visible on alerts and when you hover over the markers on your chart.
You can set alerts for below scenarios. Alerts contain stop loss and Max position advised on a specific trade entry.
1.New Long Entry
2.New Short Entry
3.Long Re-Entry
4.Short Re-Entry
5.Long Take Profit
6.Short Take Profit
Usage
You can enter into a new position with New Long Entry/New Short Entry. Position size and Stop loss are visible on alert and signal marker on the chart. Please set your alerts on bar close.
You can take profit on Long take profit/ Short take profit signal.You can chose to close any % of your position.
You can re-enter into a position and increase your existing position on Long Re-Entry/Short Re-Entry signal. Position size and New stop loss levels are indicated on alerts or when you hover over the signal marker.
Position size can be greater than 100% with leverage. For e.g. if strategy suggest 200% as position size, you can take this position with 5x leverage and 40% of your capital. But, downside risk for every entry would be limited to your preferences.
This strategy works best on 4 hour and Daily time frames.
For Access : Contact me on TradingView.
Komut dosyalarını "entry" için ara
Cyatophilum Levels [ALERTSETUP]Cyatophilum Levels - Version 1.0 - Alert setup
This indicator allows you to build your own strategy based on Fibonacci levels, and create automated alerts for long & short entries and exits.
This study also has a backtest version. See my previous script.
The Fibonacci levels are printed automatically in real time and without repainting on the chart.
You configure your own strategy in the indicator parameters. You can choose to go long or to go short, or both, on which Fib levels to enter Long/Short, and on which Fib levels to exit (up to 2 entry levels and exit levels).
Detailed Guide:
This is a guide that can be useful if you do not understand the strategy or an indicator parameter. Instructions on how to get access are at the bottom.
To configure your strategy, you need to open the indicator settings. You can either right-click on the indicator and click "settings", or click the settings button near the indicator's name.
You should know that the Fibonnaci levels are calculated from the support and resistance levels, which are calculated using the last swing high and swing low. This behavior can be tweaked in the settings with the first 2 parameters:
· Noise reduction
Dropdown menu. Options are "NONE", "SMALL", "MEDIUM", "HUGE". Used to get a smoother level behavior. The higher it is, the less often the support and resistance levels will move. Can be useful to cut off fakeouts.
· Swings lookback
This is the number of historical bars used to calculate the last swing high and swing low.
In TradingView, we usually wait bar close to validate a signal (trade entry or exit), in order to avoid repainting. But since this indicator is purely based on price action, there is an option called Alert Type if you want to receive intra-bar alerts or not.
· Entry Alert Type
2 options : "Once Per Bar Close", "Once Per Bar". These correspond to the alerts options. You must use the same alert type in the indicator settings and in the alert options. When using "Once Per Bar", the candle high and low are used for the cross conditions, otherwise, candle close is used.
· Exit Alert Type
Same but for exit alerts.
The long trades setup can be configured independantly from the short trade setup, but the parameters are the same.
■ Go Long/Short
Check this box to enable/disable long/short trades.
· Long/Short Entry Condition
Dropdown menu from which you can pick the condition for your entry. Options available are "Cross Over","Cross Under" and "Just Cross".
· Long/Short Entry 1
Dropdown menu from which you can pick the level for your entry n°1. Options available are "Support","FIB 23", "FIB 38", "FIB 50","FIB 61","FIB 78" and "Resistance".
· Long/Short Entry 2
Additional FIB level entry.
· Long/Short Exit 1
Dropdown menu from which you can pick the level for your exit. Options available are "Support","FIB 23", "FIB 38", "FIB 50","FIB 61","FIB 78" and "Resistance".
· Long/Short Exit 2
Additional FIB level exit.
■ Trend Filter
Optionnal Tilson T3 TrendLine to make the strategy go long only when price is above T3 (green) and short only when price is below (red). The length in bars is configurable.
· Configuration Panel
It should appear on the left of the chart. This panel displays the whole indicator settings in a compact and easy-to-read way. You can replicate a strategy from just this info panel. Can be turned off if needed.
· Graphic options
A red/green background corresponding to the strategy position (short/long) can be turned off.
The Fib levels labels can be turned off all at once.
Risk management:
Place your secondary exit one or two levels above/below your entry to act as a stop loss.
Availabe alerts:
To create an alert, right-click on the indicator and click "Add alert".
The LONG alerts corresponds to the green labels on chart, while the SHORT are in red.
Select one of the following signals in order to create your strategy:
· LONG/SHORT ENTRY : Alert to enter a long/short. Make sure to select "Once Per Bar" or "Once Per Bar Close" according to the "Entry Alert Type" parameter.
· LONG/SHORT EXIT : Alert to exit a long/short. Make sure to select "Once Per Bar" or "Once Per Bar Close" according to the "Exit Alert Type" parameter.
Default settings are set for 15m.
Use the link below to obtain access to this indicator
HFT Fibonacci Bands Indicator
Default Settings are meant to be used in XBT/USD chart on 15 min time frame. If you want to use for another asset on another time frame YOU MUST CHANGE THE SETTINGS
This is a Fibonacci bands based trading indicator developed by HFT Research. It is a highly customizable indicator and provided endless opportunities to find profitable trades in the market.
Use Fib BB
This is the main decision maker of the strategy. Tuning the settings of this portion of the strategy will change the outcome the most. We have provided default settings. However, they are only good for 15min chart on Bitcoin. Please adjust accordingly.
Fib BB Length: This setting adjusts the middle line of your Fibonacci Bands. It is the moving average that you take it as base for your Fibonacci bands. Default value is currently 20.
Fib Level to Use for Entry: Here, you adjust which one of the Fibonacci Ratio levels you would like to use for your entry. You can only choose one of the following options.
Fibonacci Ratio 1
This is your Fib ratio level 1 and you can put any number here you would like
Fibonacci Ratio 2
This is your Fib ratio level 2 and you can put any number here you would like
Fibonacci Ratio 3
This is your Fib ratio level 3 and you can put any number here you would like
Please keep in mind that Ratio 1 should be higher than Ratio 2 and Ratio 2 should be higher than Ratio 3.
Use RSI
You can also turn on and off the RSI as well. Alternatively, there is an option to use RSI on a different time frame than you are currently on. For example, if you are looking at the 5min chart to use Bollinger bands but you would like to look at the RSI value on the 15min chart. You can do so by selecting the custom RSI timeframe as well as adjusting the Oversold and Overbought value.
Use CCI
Commodity Channel Index is an indicator developed by Donald Lambert. It is a momentum-based oscillator used to help determine when an investment vehicle is reaching conditions of being overbought or oversold. It also used to asses price trend direction and strength. Default settings are usually the safest and the best fit.
Use VWAP
VWAP stands for volume weighted average price. It is an extremely useful indicator when trading intra-day. It does reset every trading session which is at 00:00 UTC. Instead of looking at x number of candles and providing an average price, it will take into consideration volume that’s traded at a certain price and weigh it accordingly.
Use ADX
ADX stands for average directional index. It is an indicator that measures volatility in the market. Unfortunately, the worst market condition for this strategy is sideways market. ADX becomes a useful tool since it can detect trend. If the volatility is low and there is no real price movement, ADX will pick that up and will not let you get in trades during a sideways market. It will allow you to enter trades only when the market is trending.
Use MA Filters
Lookback: It is an option to look back x number of candles to validate the price crossing. If the market is choppy and the price keeps crossing up and down the moving average you have chosen, it will generate a lot of “noisy” signals. This option allows you to confirm the cross by selecting how many candles the price needs to stay above or below the moving average. Setting it 0 will turn it off.
MA Filter Type: There is a selection of moving averages that is available on TradingView currently. You can choose from 14 different moving average types to detect the trend as accurate as possible.
Filter Length: You can select the length of your moving average. Most commonly used length being 50,100 and 200.
Filter Type: This is our propriety smoothing method in order to make the moving averages lag less and influence the way they are calculated slightly. Type 1 being the normal calculation and type 2 being the secret sauce.
Reverse MA Filter: This option allows you to use the moving average in reverse. For example, the strategy will go long when the price is above the moving average. However, if you use the reserve MA Filter, you will go short when the price is above the moving average. This method works best in sideways market where price usually retraces back to the moving average. So, in an anticipation of price reverting back to the moving average, it is a useful piece of option to use during sideway markets.
If you want to get access to this indicator please DM me or visit our website.
NCTA Trend ConsensusTrend Consensus Indicator
The Trend Consensus Indicator is one of two technical pattern indicators that are part of the Profit Flow Analytics.
New Cycle Trading and Analytics is a group of traders creating market analytics for traders. The objective is to take complex combinations of multiple technical pattern indicators and present to the trader a simple, single signal entry.
The Trend Consensus Indicator is excellent in short 1, 3, and 5 minute timeframes for futures traders and short term options traders. Longer timeframes such as the 5, 10, and 30 minute timeframes work well for options traders.
The Trend Consensus Indicator consists of a simple, single entry indicator designed to provide an entry very close to the shift on the intra-day cycle. It is designed to filter out false signals and provide the trader with an optimum timing of an entry. The signal consists of an early indication of a possible entry followed by a confirming/entry signal. It is very simple to monitor and recognize the entry.
HOW TO USE: Go long when a dark blue bar appears as long as there is at least one light or dark blue bar immediately preceding it. Go short when a dark red bar appears as long as there is at least one light or dark red bar immediately preceding it.
The Trend Consensus Indicator, which is part of the Profit Flow Analytics set of indicators, is traded in a live trading room every market day, hosted by our friends at Options Money Maker.
To learn more and to get a free trial of the Trend Consensus Indicator, as part of the Profit Flow Analytics use the following link:
www.newcycletrading.com
NQU2019
SP:SPX
GER40 Opening Range Breakout (Simple)✅ GER40 Opening Range Breakout Strategy — Trading Plan
🎯 Objective:
Capture early momentum after the Frankfurt open by trading breakouts of the initial 15-minute range.
📌 Rules Summary:
Instrument: GER40 (DAX40)
Timeframe: 5-minute or 15-minute chart
Session Focus: 08:00–10:00 CET
Opening Range: 08:00–08:15 CET
🛠 Entry Conditions:
Long entry: Price breaks above the 08:00–08:15 high with volume confirmation.
Short entry: Price breaks below the 08:00–08:15 low with volume confirmation.
Optional confirmation: RSI > 50 for long, RSI < 50 for short.
Dashboard TrendsDashboard Trends – Multi-Timeframe VWAP + EMA Bias Indicator
The Dashboard Trends indicator is a powerful market sentiment tool that visually displays trend biases across multiple timeframes using a combination of:
Anchored Session VWAP with Deviation Bands
EMA(22) vs EMA(200) Trend Comparison
Custom Neutral Zone Logic
Multi-Timeframe Dashboard Table
1-Minute Precision Bias and VWAP Positioning
This tool is designed for day traders, scalpers, and swing traders who want a clean and fast way to assess the market's trend structure at a glance.
📊 Features
✅ 1. Anchored Session VWAP
Custom VWAP that resets at the start of each daily session.
Displays ±1σ, ±2σ, ±3σ standard deviation bands.
Tracks real-time price positioning relative to VWAP.
✅ 2. EMA Trend Bias
Uses EMA(22) and EMA(200) across multiple timeframes (1m, 10m, 30m, 4h, 1D).
A trend is:
Bullish if EMA(22) > EMA(200) + threshold
Bearish if EMA(22) < EMA(200) - threshold
Neutral within buffer zone
Choose between:
Fixed Threshold (% based)
Dynamic ATR-based Threshold for volatility adaptation
✅ 3. VWAP Bias Calculation
Measures price deviation from session VWAP within normalized range
Color-coded output for:
Green: Bullish bias
Red: Bearish bias
Gray: Neutral zone
✅ 4. Real-Time Dashboard Table
Updates every 10 bars
Displays market bias for:
1m, 10m, 30m, 4h, 1D, and VWAP trend zones
Color-coded cells for instant decision-making
📈 Suggested Trading Strategy
You can build rules around trend alignment and VWAP zones for effective entries and exits.
📌 Entry Rules:
Long Entry:
1m, 10m, 30m, and VWAP all show Bullish (green)
Price is above VWAP and holding above +1σ
Optional: Use pullback to EMA(22) on the 1m or 10m chart as a trigger
Short Entry:
1m, 10m, 30m, and VWAP all show Bearish (red)
Price is below VWAP and holding below -1σ
Optional: Use rejection at EMA(22) on the 1m/10m as confirmation
📌 Exit / Take-Profit:
Take profit at ±2σ or ±3σ levels
Trail stops based on price moving back into Neutral or opposite bias
📌 Stop-Loss:
Just below VWAP or the opposite side of ±1σ band (depending on entry direction)
Or use fixed ATR-based stop for dynamic positioning
⚙️ Settings Recommendations
For volatile markets (crypto, small caps): Enable Dynamic ATR Threshold
For stable markets (indices, large caps): Use Fixed Threshold = 0.05–0.10%
For scalping: Set neutral zone buffer (1m) to a tighter value like 0.05
Contrarian RSIContrarian RSI Indicator
Pairs nicely with Contrarian 100 MA (optional hide/unhide buy/sell signals)
Description
The Contrarian RSI is a momentum-based technical indicator designed to identify potential reversal points in price action by combining a unique RSI calculation with a predictive range model inspired by the "Contrarian 5 Levels" logic. Unlike traditional RSI, which measures price momentum based solely on price changes, this indicator integrates a smoothed, weighted momentum calculation and predictive price ranges to generate contrarian signals. It is particularly suited for traders looking to capture reversals in trending or range-bound markets.
This indicator is versatile and can be used across various timeframes, though it performs best on higher timeframes (e.g., 1H, 4H, or Daily) due to reduced noise and more reliable signals. Lower timeframes may require additional testing and careful parameter tuning to optimize performance.
How It Works
The Contrarian RSI combines two primary components:
Predictive Ranges (5 Levels Logic): This calculates a smoothed price average that adapts to market volatility using an ATR-based mechanism. It helps identify significant price levels that act as potential support or resistance zones.
Contrarian RSI Calculation: A modified RSI calculation that uses weighted momentum from the predictive ranges to measure buying and selling pressure. The result is smoothed and paired with a user-defined moving average to generate clear signals.
The indicator generates buy (long) and sell (exit) signals based on crossovers and crossunders of user-defined overbought and oversold levels, making it ideal for contrarian trading strategies.
Calculation Overview
Predictive Ranges (5 Levels Logic):
Uses a custom function (pred_ranges) to calculate a dynamic price average (avg) based on the ATR (Average True Range) multiplied by a user-defined factor (mult).
The average adjusts only when the price moves beyond the ATR threshold, ensuring responsiveness to significant price changes while filtering out noise.
This calculation is performed on a user-specified timeframe (tf5Levels) for multi-timeframe analysis.
Contrarian RSI:
Compares consecutive predictive range values to calculate gains (g) and losses (l) over a user-defined period (crsiLength).
Applies a Gaussian weighting function (weight = math.exp(-math.pow(i / crsiLength, 2))) to prioritize recent price movements.
Computes a "wave ratio" (net_momentum / total_energy) to normalize momentum, which is then scaled to a 0–100 range (qrsi = 50 + 50 * wave_ratio).
Smooths the result with a 2-period EMA (qrsi_smoothed) for stability.
Moving Average:
Applies a user-selected moving average (SMA, EMA, WMA, SMMA, or VWMA) with a customizable length (maLength) to the smoothed RSI (qrsi_smoothed) to generate the final indicator value (qrsi_ma).
Signal Generation:
Long Entry: Triggered when qrsi_ma crosses above the oversold level (oversoldLevel, default: 1).
Long Exit: Triggered when qrsi_ma crosses below the overbought level (overboughtLevel, default: 99).
Entry and Exit Rules
Long Entry: Enter a long position when the Contrarian RSI (qrsi_ma) crosses above the oversold level (default: 1). This suggests the asset is potentially oversold and due for a reversal.
Long Exit: Exit the long position when the Contrarian RSI (qrsi_ma) crosses below the overbought level (default: 99), indicating a potential overbought condition and a reversal to the downside.
Customization: Adjust overboughtLevel and oversoldLevel to fine-tune sensitivity. Lower timeframes may benefit from tighter levels (e.g., 20 for oversold, 80 for overbought), while higher timeframes can use extreme levels (e.g., 1 and 99) for stronger reversals.
Timeframe Considerations
Higher Timeframes (Recommended): The indicator is optimized for higher timeframes (e.g., 1H, 4H, Daily) due to its reliance on predictive ranges and smoothed momentum, which perform best with less market noise. These timeframes typically yield more reliable reversal signals.
Lower Timeframes: The indicator can be used on lower timeframes (e.g., 5M, 15M), but signals may be noisier and require additional confirmation (e.g., from price action or other indicators). Extensive backtesting and parameter optimization (e.g., adjusting crsiLength, maLength, or mult) are recommended for lower timeframes.
Inputs
Contrarian RSI Length (crsiLength): Length for RSI momentum calculation (default: 5).
RSI MA Length (maLength): Length of the moving average applied to the RSI (default: 1, effectively no MA).
MA Type (maType): Choose from SMA, EMA, WMA, SMMA, or VWMA (default: SMA).
Overbought Level (overboughtLevel): Upper threshold for exit signals (default: 99).
Oversold Level (oversoldLevel): Lower threshold for entry signals (default: 1).
Plot Signals on Main Chart (plotOnChart): Toggle to display signals on the price chart or the indicator panel (default: false).
Plotted on Lower:
Plotted on Chart:
5 Levels Length (length5Levels): Length for predictive range calculation (default: 200).
Factor (mult): ATR multiplier for predictive ranges (default: 6.0).
5 Levels Timeframe (tf5Levels): Timeframe for predictive range calculation (default: chart timeframe).
Visuals
Contrarian RSI MA: Plotted as a yellow line, representing the smoothed Contrarian RSI with the applied moving average.
Overbought/Oversold Lines: Red line for overbought (default: 99) and green line for oversold (default: 1).
Signals: Blue circles for long entries, white circles for long exits. Signals can be plotted on the main chart (plotOnChart = true) or the indicator panel (plotOnChart = false).
Usage Notes
Use the indicator in conjunction with other tools (e.g., support/resistance, trendlines, or volume) to confirm signals.
Test extensively on your chosen timeframe and asset to optimize parameters like crsiLength, maLength, and mult.
Be cautious with lower timeframes, as false signals may occur due to market noise.
The indicator is designed for contrarian strategies, so it works best in markets with clear reversal patterns.
Disclaimer
This indicator is provided for educational and informational purposes only. Always conduct thorough backtesting and risk management before using any indicator in live trading. The author is not responsible for any financial losses incurred.
Anti-SMT + FVG SignalMade by Laila
Anti-SMT + FVG Strategy
A contrarian price-action strategy that combines SMT illusion with Fair Value Gap (FVG) confirmation and multiple filters.
Strategy Concept
This strategy challenges traditional SMT divergence logic. Instead of entering trades based on expected SMT divergence between correlated pairs (e.g., EURUSD and DXY), it assumes the divergence is false and will reverse. The concept is to take advantage of these false signals, also known as "SMT illusions."
To confirm the setup, the strategy integrates Fair Value Gaps (FVGs), which are price imbalances left unfilled between candle 1 and 3.
Anti-SMT Logic
Short Entry:
EURUSD makes a new high (Candle 1)
DXY does not make a new low
Long Entry:
EURUSD makes a new low (Candle 1)
DXY does not make a new high
This divergence is considered false, and the strategy expects a reversal.
Fair Value Gap (FVG) Confirmation
A trade is only triggered if the price touches a Fair Value Gap during:
Candle 1 (the candle that forms the SMT illusion), or
Candle 2 (entry confirmation)
This helps avoid low-quality setups and increases entry precision.
Additional Filters
To improve robustness and prevent overfitting, the strategy includes:
EMA Trend Filter:
Long entries are allowed only if price is above the 50 EMA
Short entries are allowed only if price is below the 50 EMA
Time Filter:
Trades are only permitted between 08:00 and 18:00 UTC
Cooldown Filter:
A minimum of 10 candles between trades is required to prevent overtrading
Strategy Parameters and Defaults
Optimized for EURUSD on the 4-hour (4H) timeframe
Includes realistic commission and slippage
Uses conservative position sizing (e.g., 1% per trade)
Backtesting over hundreds of trades shows approximately 57% win rate under default conditions
These results are historical and do not guarantee future performance
Purpose and Value
This strategy offers a structured and logical approach to contrarian trading by:
Introducing the concept of false SMT divergence
Using price inefficiencies (FVGs) as confirmation
Filtering trades with realistic and widely accepted conditions
Encouraging quality over quantity through strict entry rules
It is not a simple mashup but a well-defined trading system that blends institutional concepts in a usable framework.
Momentum Flip Pro - Advanced ZigZag Trading SystemMomentum Flip Pro - Advanced ZigZag Trading System
Complete User Guide
📊 What This Indicator Does
The Momentum Flip Pro is an advanced position-flipping trading system that automatically identifies trend reversals using ZigZag patterns combined with momentum analysis. It's designed for traders who want to always be in the market, flipping between long and short positions at optimal reversal points.
Key Features:
Automatically flips positions at each ZigZag reversal point
Dynamic stop loss placement at exact ZigZag levels
Real-time trading dashboard with performance metrics
Capital tracking and ROI calculation
Three momentum engines to choose from
🎯 How It Works
Entry Signal: When a ZigZag point appears (circle on chart), the indicator:
Exits current position (if any)
Immediately enters opposite position
Places stop loss at the exact ZigZag price
Exit Signal: Positions are closed when the next ZigZag appears, then immediately reversed
Position Management:
Long Entry: ZigZag bottom (momentum turns UP)
Short Entry: ZigZag peak (momentum turns DOWN)
Stop Loss: Always at the ZigZag entry price
Take Profit: Next ZigZag point (automatic position flip)
⚙️ Recommended Settings
For Day Trading (5m-15m timeframes):
Momentum Engine: Quantum
- RSI Length: 9-12
- Quantum Factor: 3.5-4.0
- RSI Smoothing: 3-5
- Threshold: 8-10
For Swing Trading (1H-4H timeframes):
Momentum Engine: MACD
- Fast Length: 12
- Slow Length: 26
- Signal Smoothing: 9
- MA Type: EMA
For Position Trading (Daily):
Momentum Engine: Moving Average
- Average Type: EMA or HMA
- Length: 20-50
📈 How to Use for Trading
Add to Chart:
Add indicator to your chart
Set your starting capital
Choose your preferred momentum engine
Understanding Signals:
Green circles: Strong bullish momentum reversal
Red circles: Strong bearish momentum reversal
Purple circles: Normal momentum reversal
Entry labels: Show exact entry points with tooltips
Trading Rules:
Enter LONG when you see an up arrow + green/purple circle
Enter SHORT when you see a down arrow + red/purple circle
Stop loss is automatically at the ZigZag level
Hold until next ZigZag appears (exit + reverse)
Risk Management:
Risk per trade = Entry Price - Stop Loss
Position size = (Capital * Risk %) / Risk per trade
Recommended risk: 1-2% per trade
💡 Best Practices
Market Conditions:
Works best in trending markets
Excellent for volatile pairs (crypto, forex majors)
Avoid during low volume/consolidation
Timeframe Selection:
Lower timeframes (5m-15m): More signals, higher noise
Higher timeframes (1H+): Fewer signals, higher reliability
Sweet spot: 15m-1H for most traders
Momentum Engine Selection:
Quantum: Best for volatile markets (crypto, indices)
MACD: Best for trending markets (forex, stocks)
Moving Average: Best for smooth trends (commodities)
📊 Dashboard Interpretation
The trading dashboard shows:
Current Capital: Your running balance
Position: Current trade direction
Entry/Stop: Your risk levels
Statistics: Win rate and performance
ROI: Overall return on investment
⚠️ Important Notes
Always Active: This system is always in a position (long or short)
No Neutral: You're either long or short, never flat
Automatic Reversal: Positions flip at each signal
Stop Loss: Fixed at entry ZigZag level (doesn't trail)
🎮 Quick Start Guide
Beginners: Start with default settings on 1H timeframe
Test First: Use paper trading to understand the signals
Small Size: Begin with 1% risk per trade
Track Results: Monitor the dashboard statistics
Adjust: Fine-tune momentum settings based on results
🔧 Customization Tips
Color Signals: Enable to see momentum strength
Dashboard Position: Move to preferred screen location
Visual Settings: Adjust colors for your theme
Alerts: Set up for automated notifications
This indicator is ideal for traders who prefer an always-in-market approach with clear entry/exit rules and automated position management. The key to success is choosing the right momentum engine for your market and maintaining disciplined risk management.
Algo BOT 3.0Algo BOT 3.0 is a sophisticated, rule-based intraday trading strategy designed for index option traders who seek high-probability entries based on market structure, institutional zones, and controlled risk management. This strategy intelligently identifies BUY and SELL trade opportunities using price action, Fibonacci retracements, and pivot confluences, layered with dynamic trade management through trailing stop loss (TSL) and predefined profit/loss thresholds.
🔍 Strategic Foundation
Algo BOT 3.0 combines multiple proven intraday trading concepts into a single unified system:
Candle Behavior Analysis:
Detects strong green (bullish) and red (bearish) candles based on configurable range filters, wick/body ratios, and volume-backed movement.
Ensures only impactful candles are considered for signal generation, filtering out noise.
Dynamic Candle Range Filtering:
Filters out low-momentum candles by comparing their range against a dynamically calculated threshold (based on recent 30-minute close).
Prevents premature or weak entries by focusing on high-volatility structures.
Fibonacci Entry Zones:
Automatically calculates 0.382 and 0.618 Fibonacci levels between the most recent key candles (highest green & lowest red).
These fib levels are used to define entry zones for BUY (above red fib 0.382) and SELL (below green fib 0.382).
Optional fib zones can be visually shown on the chart with real-time drawing.
📈 Signal Generation Logic
The core BUY/SELL signals are triggered based on a combination of:
Green/Red Candle Identification:
A green candle qualifies if:
Open is near the bottom 38.2% of its range.
Close is above the top 61.8% of the range.
High is above a pivot or institutional level.
A red candle qualifies if:
Open is near the top 38.2% of its range.
Close is below the bottom 61.8% of the range.
Low is below a pivot or institutional level.
Support/Resistance Touch Confirmation:
Signals are only considered valid if the qualifying candle touches:
CPR Top/Bottom
Daily Pivot Points (PP, R1–R4, S1–S4)
VWAP or MVWAP
CE Entry (BOT BUY):
Occurs when the price crosses above red fib 0.382 after red candle touch at support.
PE Entry (BOT SELL):
Occurs when the price crosses below green fib 0.382 after green candle touch at resistance.
Signal Controls:
Only one active signal per type (BUY/SELL) at a time.
Real-time tracking of active trade with condition-based resets.
🎯 Exit Management
Built-in risk and profit control with dynamic logic:
Trailing Stop Loss (TSL):
TSL is dynamically adjusted based on peak price after entry.
Trail distance is customizable via input (% below peak).
Visual alerts notify when TSL is hit.
Profit Target:
Trade exits automatically when desired % profit is achieved from entry.
Loss Limit:
Trade exits immediately if unrealized loss exceeds a set % threshold.
Helps prevent large drawdowns during volatile market moves.
🧠 Technical Indicator Integration
To enhance trade accuracy, the strategy includes several optional filters:
RSI: Momentum confirmation or divergence filtering.
SMA/EMA: Trend direction confirmation.
MVWAP: Modified VWAP for smoother institutional bias tracking.
🖼️ Visuals & Alerts
BOT BUY and BOT SELL Signal Labels appear directly on the chart with trade type and candle reference.
TSL, Target, and SL Exits shown as label markers with optional background highlight.
Live Alerts:
BOT BUY (CE Entry)
BOT SELL (PE Entry)
Trailing Stop Loss Triggered
Profit Target Hit
Stop Loss Triggered
⚙️ Customizable Settings
Users can fine-tune the strategy using the following input options:
MVWAP Length
RSI / SMA / EMA Lengths
Candle Range Sensitivity
TSL Distance (%)
Profit Target (%)
Loss Limit (%)
Enable/Disable Background Highlights & Labels
Display Fib Zones
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Ergodic Market Divergence (EMD)Ergodic Market Divergence (EMD)
Bridging Statistical Physics and Market Dynamics Through Ensemble Analysis
The Revolutionary Concept: When Physics Meets Trading
After months of research into ergodic theory—a fundamental principle in statistical mechanics—I've developed a trading system that identifies when markets transition between predictable and unpredictable states. This indicator doesn't just follow price; it analyzes whether current market behavior will persist or revert, giving traders a scientific edge in timing entries and exits.
The Core Innovation: Ergodic Theory Applied to Markets
What Makes Markets Ergodic or Non-Ergodic?
In statistical physics, ergodicity determines whether a system's future resembles its past. Applied to trading:
Ergodic Markets (Mean-Reverting)
- Time averages equal ensemble averages
- Historical patterns repeat reliably
- Price oscillates around equilibrium
- Traditional indicators work well
Non-Ergodic Markets (Trending)
- Path dependency dominates
- History doesn't predict future
- Price creates new equilibrium levels
- Momentum strategies excel
The Mathematical Framework
The Ergodic Score combines three critical divergences:
Ergodic Score = (Price Divergence × Market Stress + Return Divergence × 1000 + Volatility Divergence × 50) / 3
Where:
Price Divergence: How far current price deviates from market consensus
Return Divergence: Momentum differential between instrument and market
Volatility Divergence: Volatility regime misalignment
Market Stress: Adaptive multiplier based on current conditions
The Ensemble Analysis Revolution
Beyond Single-Instrument Analysis
Traditional indicators analyze one chart in isolation. EMD monitors multiple correlated markets simultaneously (SPY, QQQ, IWM, DIA) to detect systemic regime changes. This ensemble approach:
Reveals Hidden Divergences: Individual stocks may diverge from market consensus before major moves
Filters False Signals: Requires broader market confirmation
Identifies Regime Shifts: Detects when entire market structure changes
Provides Context: Shows if moves are isolated or systemic
Dynamic Threshold Adaptation
Unlike fixed-threshold systems, EMD's boundaries evolve with market conditions:
Base Threshold = SMA(Ergodic Score, Lookback × 3)
Adaptive Component = StDev(Ergodic Score, Lookback × 2) × Sensitivity
Final Threshold = Smoothed(Base + Adaptive)
This creates context-aware signals that remain effective across different market environments.
The Confidence Engine: Know Your Signal Quality
Multi-Factor Confidence Scoring
Every signal receives a confidence score based on:
Signal Clarity (0-35%): How decisively the ergodic threshold is crossed
Momentum Strength (0-25%): Rate of ergodic change
Volatility Alignment (0-20%): Whether volatility supports the signal
Market Quality (0-20%): Price convergence and path dependency factors
Real-Time Confidence Updates
The Live Confidence metric continuously updates, showing:
- Current opportunity quality
- Market state clarity
- Historical performance influence
- Signal recency boost
- Visual Intelligence System
Adaptive Ergodic Field Bands
Dynamic bands that expand and contract based on market state:
Primary Color: Ergodic state (mean-reverting)
Danger Color: Non-ergodic state (trending)
Band Width: Expected price movement range
Squeeze Indicators: Volatility compression warnings
Quantum Wave Ribbons
Triple EMA system (8, 21, 55) revealing market flow:
Compressed Ribbons: Consolidation imminent
Expanding Ribbons: Directional move developing
Color Coding: Matches current ergodic state
Phase Transition Signals
Clear entry/exit markers at regime changes:
Bull Signals: Ergodic restoration (mean reversion opportunity)
Bear Signals: Ergodic break (trend following opportunity)
Confidence Labels: Percentage showing signal quality
Visual Intensity: Stronger signals = deeper colors
Professional Dashboard Suite
Main Analytics Panel (Top Right)
Market State Monitor
- Current regime (Ergodic/Non-Ergodic)
- Ergodic score with threshold
- Path dependency strength
- Quantum coherence percentage
Divergence Metrics
- Price divergence with severity
- Volatility regime classification
- Strategy mode recommendation
- Signal strength indicator
Live Intelligence
- Real-time confidence score
- Color-coded risk levels
- Dynamic strategy suggestions
Performance Tracking (Left Panel)
Signal Analytics
- Total historical signals
- Win rate with W/L breakdown
- Current streak tracking
- Closed trade counter
Regime Analysis
- Current market behavior
- Bars since last signal
- Recommended actions
- Average confidence trends
Strategy Command Center (Bottom Right)
Adaptive Recommendations
- Active strategy mode
- Primary approach (mean reversion/momentum)
- Suggested indicators ("weapons")
- Entry/exit methodology
- Risk management guidance
- Comprehensive Input Guide
Core Algorithm Parameters
Analysis Period (10-100 bars)
Scalping (10-15): Ultra-responsive, more signals, higher noise
Day Trading (20-30): Balanced sensitivity and stability
Swing Trading (40-100): Smooth signals, major moves only Default: 20 - optimal for most timeframes
Divergence Threshold (0.5-5.0)
Hair Trigger (0.5-1.0): Catches every wiggle, many false signals
Balanced (1.5-2.5): Good signal-to-noise ratio
Conservative (3.0-5.0): Only extreme divergences Default: 1.5 - best risk/reward balance
Path Memory (20-200 bars)
Short Memory (20-50): Recent behavior focus, quick adaptation
Medium Memory (50-100): Balanced historical context
Long Memory (100-200): Emphasizes established patterns Default: 50 - captures sufficient history without lag
Signal Spacing (5-50 bars)
Aggressive (5-10): Allows rapid-fire signals
Normal (15-25): Prevents clustering, maintains flow
Conservative (30-50): Major setups only Default: 15 - optimal trade frequency
Ensemble Configuration
Select markets for consensus analysis:
SPY: Broad market sentiment
QQQ: Technology leadership
IWM: Small-cap risk appetite
DIA: Blue-chip stability
More instruments = stronger consensus but potentially diluted signals
Visual Customization
Color Themes (6 professional options):
Quantum: Cyan/Pink - Modern trading aesthetic
Matrix: Green/Red - Classic terminal look
Heat: Blue/Red - Temperature metaphor
Neon: Cyan/Magenta - High contrast
Ocean: Turquoise/Coral - Calming palette
Sunset: Red-orange/Teal - Warm gradients
Display Controls:
- Toggle each visual component
- Adjust transparency levels
- Scale dashboard text
- Show/hide confidence scores
- Trading Strategies by Market State
- Ergodic State Strategy (Primary Color Bands)
Market Characteristics
- Price oscillates predictably
- Support/resistance hold
- Volume patterns repeat
- Mean reversion dominates
Optimal Approach
Entry: Fade moves at band extremes
Target: Middle band (equilibrium)
Stop: Just beyond outer bands
Size: Full confidence-based position
Recommended Tools
- RSI for oversold/overbought
- Bollinger Bands for extremes
- Volume profile for levels
- Non-Ergodic State Strategy (Danger Color Bands)
Market Characteristics
- Price trends persistently
- Levels break decisively
- Volume confirms direction
- Momentum accelerates
Optimal Approach
Entry: Breakout from bands
Target: Trail with expanding bands
Stop: Inside opposite band
Size: Scale in with trend
Recommended Tools
- Moving average alignment
- ADX for trend strength
- MACD for momentum
- Advanced Features Explained
Quantum Coherence Metric
Measures phase alignment between individual and ensemble behavior:
80-100%: Perfect sync - strong mean reversion setup
50-80%: Moderate alignment - mixed signals
0-50%: Decoherence - trending behavior likely
Path Dependency Analysis
Quantifies how much history influences current price:
Low (<30%): Technical patterns reliable
Medium (30-50%): Mixed influences
High (>50%): Fundamental shift occurring
Volatility Regime Classification
Contextualizes current volatility:
Normal: Standard strategies apply
Elevated: Widen stops, reduce size
Extreme: Defensive mode required
Signal Strength Indicator
Real-time opportunity quality:
- Distance from threshold
- Momentum acceleration
- Cross-validation factors
Risk Management Framework
Position Sizing by Confidence
90%+ confidence = 100% position size
70-90% confidence = 75% position size
50-70% confidence = 50% position size
<50% confidence = 25% or skip
Dynamic Stop Placement
Ergodic State: ATR × 1.0 from entry
Non-Ergodic State: ATR × 2.0 from entry
Volatility Adjustment: Multiply by current regime
Multi-Timeframe Alignment
- Check higher timeframe regime
- Confirm ensemble consensus
- Verify volume participation
- Align with major levels
What Makes EMD Unique
Original Contributions
First Ergodic Theory Trading Application: Transforms abstract physics into practical signals
Ensemble Market Analysis: Revolutionary multi-market divergence system
Adaptive Confidence Engine: Institutional-grade signal quality metrics
Quantum Coherence: Novel market alignment measurement
Smart Signal Management: Prevents clustering while maintaining responsiveness
Technical Innovations
Dynamic Threshold Adaptation: Self-adjusting sensitivity
Path Memory Integration: Historical dependency weighting
Stress-Adjusted Scoring: Market condition normalization
Real-Time Performance Tracking: Built-in strategy analytics
Optimization Guidelines
By Timeframe
Scalping (1-5 min)
Period: 10-15
Threshold: 0.5-1.0
Memory: 20-30
Spacing: 5-10
Day Trading (5-60 min)
Period: 20-30
Threshold: 1.5-2.5
Memory: 40-60
Spacing: 15-20
Swing Trading (1H-1D)
Period: 40-60
Threshold: 2.0-3.0
Memory: 80-120
Spacing: 25-35
Position Trading (1D-1W)
Period: 60-100
Threshold: 3.0-5.0
Memory: 100-200
Spacing: 40-50
By Market Condition
Trending Markets
- Increase threshold
- Extend memory
- Focus on breaks
Ranging Markets
- Decrease threshold
- Shorten memory
- Focus on restores
Volatile Markets
- Increase spacing
- Raise confidence requirement
- Reduce position size
- Integration with Other Analysis
- Complementary Indicators
For Ergodic States
- RSI divergences
- Bollinger Band squeezes
- Volume profile nodes
- Support/resistance levels
For Non-Ergodic States
- Moving average ribbons
- Trend strength indicators
- Momentum oscillators
- Breakout patterns
- Fundamental Alignment
- Check economic calendar
- Monitor sector rotation
- Consider market themes
- Evaluate risk sentiment
Troubleshooting Guide
Too Many Signals:
- Increase threshold
- Extend signal spacing
- Raise confidence minimum
Missing Opportunities
- Decrease threshold
- Reduce signal spacing
- Check ensemble settings
Poor Win Rate
- Verify timeframe alignment
- Confirm volume participation
- Review risk management
Disclaimer
This indicator is for educational and informational purposes only. It does not constitute financial advice. Trading involves substantial risk of loss and is not suitable for all investors. Past performance does not guarantee future results.
The ergodic framework provides unique market insights but cannot predict future price movements with certainty. Always use proper risk management, conduct your own analysis, and never risk more than you can afford to lose.
This tool should complement, not replace, comprehensive trading strategies and sound judgment. Markets remain inherently unpredictable despite advanced analysis techniques.
Transform market chaos into trading clarity with Ergodic Market Divergence.
Created with passion for the TradingView community
Trade with insight. Trade with anticipation.
— Dskyz , for DAFE Trading Systems
Trailing Stop Loss [TradingFinder] 4 Machine Learning Methods🔵 Introduction
The trailing stop indicator dynamically adjusts stop-loss (SL) levels to lock in profits as price moves favorably. It uses pivot levels and ATR to set optimal SL points, balancing risk and reward.
Trade confirmation filters, a key feature, ensure entries align with market conditions, reducing false signals. In 2023 a study showed filtered entries improve win rates by 15% in forex. This enhances trade precision.
SL settings, ranging from very tight to very wide, adapt to volatility via ATR calculations. These settings anchor SL to previous pivot levels, ensuring alignment with market structure. This caters to diverse trading styles, from scalping to swing trading.
The indicator colors the profit zone between the entry point (EP) and SL, using light green for buy trades and light red for sell trades. This visual cue highlights profit potential. It’s ideal for traders seeking dynamic risk management.
A table displays real-time trade details, including EP, SL, and profit/loss (PNL). Backtests show trailing stops cut losses by 20% in trending markets. This transparency aids decision-making.
🔵 How to Use
🟣 SL Levels
The trailing stop indicator sets SL based on pivot levels and ATR, offering four options: very tight, tight, wide, or very wide. Very tight SLs suit scalpers, while wide SLs fit swing traders. Select the base level to match your strategy.
If price hits the SL, the trade closes, and the indicator evaluates the next trade using the selected filter. This ensures disciplined trade management. The cycle restarts with a new confirmed entry.
Very tight SLs, set near recent pivots, trigger exits early to minimize risk but limit profits in volatile markets. Wide SLs, shown as farther lines, allow more price movement but increase exposure to losses. Adjust based on ATR and conditions, noting SL breaches open new positions.
🟣 Visualization
The indicator’s visual cues, like colored profit zones, simplify monitoring, with light green showing the profit area from EP to trailed SL. Dashed lines mark entry points, while solid lines track the trailed SL, triggering new positions when breached.
When price moves into profit, the area between EP and SL is colored—light green for longs, light red for shorts. This highlights the profit zone visually. The SL trails price, locking in gains as the trade progresses.
🟣 Filters
Upon trade entry, the indicator requires confirmation via filters like SMA 2x or ADX to validate momentum. Filters reduce false entries, though no guarantee exists for improved outcomes. Monitor price action post-entry for trade validity.
Filters like Momentum or ADX assess trend strength before entry. For example, ADX above 25 confirms strong trends. Choose “none” for unfiltered entries.
🟣 Bullish Alert
For a bullish trade, the indicator opens a long position with a green SL Line (after optional filters), trailing the SL below price. Set alerts to On in the settings for notifications, or Off to monitor manually.
🟣 Bearish Alert
In a bearish trade, the indicator opens a short position with a red SL Line post-confirmation, trailing the SL above price. With alerts On in the settings, it notifies the potential reversal.
🟣 Panel
A table displays all trades’ details, including Win Rates, PNL, and trade status. This real-time data aids in tracking performance. Check the table to assess trade outcomes instantly.
Review the table regularly to evaluate trade performance and adjust settings. Consistent monitoring ensures alignment with market dynamics. This maximizes the indicator’s effectiveness.
🔵 Settings
Length (Default: 10) : Sets the pivot period for calculating SL levels, balancing sensitivity and reliability.
Base Level : Options (“Very tight,” “Tight,” “Wide,” “Very wide”) adjust SL distance via ATR.
Show EP Checkbox : Toggles visibility of the entry point on the chart.
Show PNL : Displays profit/loss data for active and closed trades.
Filter : Options (“none,” “SMA 2x,” “Momentum,” “ADX”) validate trade entries.
🔵 Conclusion
The trailing stop indicator, a dynamic risk management tool, adjusts SLs using pivot levels and ATR. Its confirmation filters reduce false entries, boosting precision. Backtests show 20% loss reduction in trending markets.
Customizable SL settings and visual profit zones enhance usability across trading styles. The real-time table provides clear trade insights, streamlining analysis. It’s ideal for forex, stocks, or crypto.
While filters like ADX improve entry accuracy, no setup guarantees success in all conditions. Contextual analysis, like trend strength, is key. This indicator empowers disciplined, data-driven trading.
Lyapunov Market Instability (LMI)Lyapunov Market Instability (LMI)
What is Lyapunov Market Instability?
Lyapunov Market Instability (LMI) is a revolutionary indicator that brings chaos theory from theoretical physics into practical trading. By calculating Lyapunov exponents—a measure of how rapidly nearby trajectories diverge in phase space—LMI quantifies market sensitivity to initial conditions. This isn't another oscillator or trend indicator; it's a mathematical lens that reveals whether markets are in chaotic (trending) or stable (ranging) regimes.
Inspired by the meditative color field paintings of Mark Rothko, this indicator transforms complex chaos mathematics into an intuitive visual experience. The elegant simplicity of the visualization belies the sophisticated theory underneath—just as Rothko's seemingly simple color blocks contain profound depth.
Theoretical Foundation (Chaos Theory & Lyapunov Exponents)
In dynamical systems, the Lyapunov exponent (λ) measures the rate of separation of infinitesimally close trajectories:
λ > 0: System is chaotic—small changes lead to dramatically different outcomes (butterfly effect)
λ < 0: System is stable—trajectories converge, perturbations die out
λ ≈ 0: Edge of chaos—transition between regimes
Phase Space Reconstruction
Using Takens' embedding theorem , we reconstruct market dynamics in higher dimensions:
Time-delay embedding: Create vectors from price at different lags
Nearest neighbor search: Find historically similar market states
Trajectory evolution: Track how these similar states diverged over time
Divergence rate: Calculate average exponential separation
Market Application
Chaotic markets (λ > threshold): Strong trends emerge, momentum dominates, use breakout strategies
Stable markets (λ < threshold): Mean reversion dominates, fade extremes, range-bound strategies work
Transition zones: Market regime about to change, reduce position size, wait for confirmation
How LMI Works
1. Phase Space Construction
Each point in time is embedded as a vector using historical prices at specific delays (τ). This reveals the market's hidden attractor structure.
2. Lyapunov Calculation
For each current state, we:
- Find similar historical states within epsilon (ε) distance
- Track how these initially similar states evolved
- Measure exponential divergence rate
- Average across multiple trajectories for robustness
3. Signal Generation
Chaos signals: When λ crosses above threshold, market enters trending regime
Stability signals: When λ crosses below threshold, market enters ranging regime
Divergence detection: Price/Lyapunov divergences signal potential reversals
4. Rothko Visualization
Color fields: Background zones represent market states with Rothko-inspired palettes
Glowing line: Lyapunov exponent with intensity reflecting market state
Minimalist design: Focus on essential information without clutter
Inputs:
📐 Lyapunov Parameters
Embedding Dimension (default: 3)
Dimensions for phase space reconstruction
2-3: Simple dynamics (crypto/forex) - captures basic momentum patterns
4-5: Complex dynamics (stocks/indices) - captures intricate market structures
Higher dimensions need exponentially more data but reveal deeper patterns
Time Delay τ (default: 1)
Lag between phase space coordinates
1: High-frequency (1m-15m charts) - captures rapid market shifts
2-3: Medium frequency (1H-4H) - balances noise and signal
4-5: Low frequency (Daily+) - focuses on major regime changes
Match to your timeframe's natural cycle
Initial Separation ε (default: 0.001)
Neighborhood size for finding similar states
0.0001-0.0005: Highly liquid markets (major forex pairs)
0.0005-0.002: Normal markets (large-cap stocks)
0.002-0.01: Volatile markets (crypto, small-caps)
Smaller = more sensitive to chaos onset
Evolution Steps (default: 10)
How far to track trajectory divergence
5-10: Fast signals for scalping - quick regime detection
10-20: Balanced for day trading - reliable signals
20-30: Slow signals for swing trading - major regime shifts only
Nearest Neighbors (default: 5)
Phase space points for averaging
3-4: Noisy/fast markets - adapts quickly
5-6: Balanced (recommended) - smooth yet responsive
7-10: Smooth/slow markets - very stable signals
📊 Signal Parameters
Chaos Threshold (default: 0.05)
Lyapunov value above which market is chaotic
0.01-0.03: Sensitive - more chaos signals, earlier detection
0.05: Balanced - optimal for most markets
0.1-0.2: Conservative - only strong trends trigger
Stability Threshold (default: -0.05)
Lyapunov value below which market is stable
-0.01 to -0.03: Sensitive - quick stability detection
-0.05: Balanced - reliable ranging signals
-0.1 to -0.2: Conservative - only deep stability
Signal Smoothing (default: 3)
EMA period for noise reduction
1-2: Raw signals for experienced traders
3-5: Balanced - recommended for most
6-10: Very smooth for position traders
🎨 Rothko Visualization
Rothko Classic: Deep reds for chaos, midnight blues for stability
Orange/Red: Warm sunset tones throughout
Blue/Black: Cool, meditative ocean depths
Purple/Grey: Subtle, sophisticated palette
Visual Options:
Market Zones : Background fields showing regime areas
Transitions: Arrows marking regime changes
Divergences: Labels for price/Lyapunov divergences
Dashboard: Real-time state and trading signals
Guide: Educational panel explaining the theory
Visual Logic & Interpretation
Main Elements
Lyapunov Line: The heart of the indicator
Above chaos threshold: Market is trending, follow momentum
Below stability threshold: Market is ranging, fade extremes
Between thresholds: Transition zone, reduce risk
Background Zones: Rothko-inspired color fields
Red zone: Chaotic regime (trending)
Gray zone: Transition (uncertain)
Blue zone: Stable regime (ranging)
Transition Markers:
Up triangle: Entering chaos - start trend following
Down triangle: Entering stability - start mean reversion
Divergence Signals:
Bullish: Price makes low but Lyapunov rising (stability breaking down)
Bearish: Price makes high but Lyapunov falling (chaos dissipating)
Dashboard Information
Market State: Current regime (Chaotic/Stable/Transitioning)
Trading Bias: Specific strategy recommendation
Lyapunov λ: Raw value for precision
Signal Strength: Confidence in current regime
Last Change: Bars since last regime shift
Action: Clear trading directive
Trading Strategies
In Chaotic Regime (λ > threshold)
Follow trends aggressively: Breakouts have high success rate
Use momentum strategies: Moving average crossovers work well
Wider stops: Expect larger swings
Pyramid into winners: Trends tend to persist
In Stable Regime (λ < threshold)
Fade extremes: Mean reversion dominates
Use oscillators: RSI, Stochastic work well
Tighter stops: Smaller expected moves
Scale out at targets: Trends don't persist
In Transition Zone
Reduce position size: Uncertainty is high
Wait for confirmation: Let regime establish
Use options: Volatility strategies may work
Monitor closely: Quick changes possible
Advanced Techniques
- Multi-Timeframe Analysis
- Higher timeframe LMI for regime context
- Lower timeframe for entry timing
- Alignment = highest probability trades
- Divergence Trading
- Most powerful at regime boundaries
- Combine with support/resistance
- Use for early reversal detection
- Volatility Correlation
- Chaos often precedes volatility expansion
- Stability often precedes volatility contraction
- Use for options strategies
Originality & Innovation
LMI represents a genuine breakthrough in applying chaos theory to markets:
True Lyapunov Calculation: Not a simplified proxy but actual phase space reconstruction and divergence measurement
Rothko Aesthetic: Transforms complex math into meditative visual experience
Regime Detection: Identifies market state changes before price makes them obvious
Practical Application: Clear, actionable signals from theoretical physics
This is not a combination of existing indicators or a visual makeover of standard tools. It's a fundamental rethinking of how we measure and visualize market dynamics.
Best Practices
Start with defaults: Parameters are optimized for broad market conditions
Match to your timeframe: Adjust tau and evolution steps
Confirm with price action: LMI shows regime, not direction
Use appropriate strategies: Chaos = trend, Stability = reversion
Respect transitions: Reduce risk during regime changes
Alerts Available
Chaos Entry: Market entering chaotic regime - prepare for trends
Stability Entry: Market entering stable regime - prepare for ranges
Bullish Divergence: Potential bottom forming
Bearish Divergence: Potential top forming
Chart Information
Script Name: Lyapunov Market Instability (LMI) Recommended Use: All markets, all timeframes Best Performance: Liquid markets with clear regimes
Academic References
Takens, F. (1981). "Detecting strange attractors in turbulence"
Wolf, A. et al. (1985). "Determining Lyapunov exponents from a time series"
Rosenstein, M. et al. (1993). "A practical method for calculating largest Lyapunov exponents"
Note: After completing this indicator, I discovered @loxx's 2022 "Lyapunov Hodrick-Prescott Oscillator w/ DSL". While both explore Lyapunov exponents, they represent independent implementations with different methodologies and applications. This indicator uses phase space reconstruction for regime detection, while his combines Lyapunov concepts with HP filtering.
Disclaimer
This indicator is for research and educational purposes only. It does not constitute financial advice or provide direct buy/sell signals. Chaos theory reveals market character, not future prices. Always use proper risk management and combine with your own analysis. Past performance does not guarantee future results.
See markets through the lens of chaos. Trade the regime, not the noise.
Bringing theoretical physics to practical trading through the meditative aesthetics of Mark Rothko
Trade with insight. Trade with anticipation.
— Dskyz , for DAFE Trading Systems
EMA with ColoringDescription:
The "EMA with Coloring" indicator plots a customizable Exponential Moving Average (EMA) on the price chart, with its color dynamically changing based on the Ichimoku Cloud's trend signals. This tool helps traders identify trend direction and potential trading opportunities by combining the simplicity of an EMA with the robust trend analysis of the Ichimoku system. The EMA changes color to reflect bullish (uptrend), bearish (downtrend), or neutral (in-cloud) market conditions, making it easier to spot trend shifts and trade setups.
How It Works:
EMA Calculation: The indicator calculates an EMA based on the user-defined period (default: 9). The EMA is plotted directly on the price chart, overlaying candlesticks or bars.
Ichimoku Coloring Logic: The EMA’s color is determined by an underlying Ichimoku Cloud system:
Green (Uptrend): When the price is above the Ichimoku Cloud and bullish conditions are confirmed (e.g., Conversion Line above Base Line and rising momentum).
Red (Downtrend): When the price is below the Ichimoku Cloud and bearish conditions are confirmed (e.g., Conversion Line below Base Line and falling momentum).
ATR Whipsaw Protection: The indicator uses an Average True Range (ATR) filter to reduce false signals during choppy markets, ensuring more reliable trend identification.
Customizable Settings:
EMA Length: Adjust the period of the EMA (default: 9) to make it more or less sensitive to price changes.
Uptrend/Downtrend Colors: Choose from Green, Red, or Blue for the EMA’s color in bullish or bearish conditions.
Transparency: Set the EMA’s opacity (default: 0, fully opaque) for better visibility on the chart.
How to Trade It:
Trend Identification:
Bullish (Green EMA): Indicates a strong uptrend. Look for buying opportunities when the EMA turns green, especially if the price is above the cloud and the EMA is sloping upward.
Bearish (Red EMA): Indicates a strong downtrend. Consider selling or shorting when the EMA turns red, particularly if the price is below the cloud and the EMA is sloping downward.
Neutral (Gray EMA): Signals a range-bound market. Avoid trend-based trades and consider range trading or waiting for a breakout.
Entry Signals:
Long Entry: Enter a buy trade when the EMA changes from gray or red to green, and the price breaks above a recent high or key resistance, confirming bullish momentum.
Short Entry: Enter a sell/short trade when the EMA changes from gray or green to red, and the price breaks below a recent low or key support, confirming bearish momentum.
Exit Signals:
Exit long trades when the EMA turns gray or red, indicating a potential trend reversal or consolidation.
Exit short trades when the EMA turns gray or green, suggesting the downtrend may be weakening.
Risk Management:
Use stop-losses below recent swing lows (for longs) or above swing highs (for shorts) to protect against unexpected reversals.
Combine with support/resistance levels, candlestick patterns, or other indicators (e.g., RSI, MACD) for confirmation.
Tips:
Adjust the EMA length to suit your trading style: shorter periods (e.g., 5–10) for scalping/day trading, longer periods (e.g., 20–50) for swing trading.
Test the indicator on your preferred timeframe and asset to optimize settings.
Settings:
EMA Settings:
EMA Length: Default is 9. Increase for smoother trends, decrease for more sensitivity.
EMA Color Settings:
Uptrend EMA Color: Choose Green, Red, or Blue (default: Green) for bullish conditions.
Downtrend EMA Color: Choose Green, Red, or Blue (default: Red) for bearish conditions.
EMA Color Transparency: Default is 0 (fully opaque). Adjust to 10–100 for partial transparency if needed.
Notes:
Best used on timeframes where trends are clear (e.g., 1H, 4H, Daily).
The Ichimoku logic runs in the background with fixed parameters optimized for reliability, so only the EMA and color settings are adjustable.
Always backtest and practice on a demo account before using in live trading.
ADX and DI - Trader FelipeADX and DI - Trader Felipe
This indicator combines the Average Directional Index (ADX) and the Directional Indicators (DI+ and DI-) to help traders assess market trends and their strength. It is designed to provide a clear view of whether the market is in a trending phase (either bullish or bearish) and helps identify potential entry and exit points.
What is ADX and DI?
DI+ (Green Line):
DI+ measures the strength of upward (bullish) price movements. When DI+ is above DI-, it signals that the market is experiencing upward momentum.
DI- (Red Line):
DI- measures the strength of downward (bearish) price movements. When DI- is above DI+, it suggests that the market is in a bearish phase, with downward momentum.
ADX (Blue Line):
ADX quantifies the strength of the trend, irrespective of whether it is bullish or bearish. The higher the ADX, the stronger the trend:
ADX > 20: Indicates a trending market (either up or down).
ADX < 20: Indicates a weak or sideways market with no clear trend.
Threshold Line (Gray Line):
This horizontal line, typically set at 20, represents the threshold for identifying whether the market is trending or not. If ADX is above 20, the market is considered to be in a trend. If ADX is below 20, it suggests that the market is not trending and is likely in a consolidation phase.
Summary of How to Use the Indicator:
Trend Confirmation: Use ADX > 20 to confirm a trending market. If ADX is below 20, avoid trading.
Long Entry: Enter a long position when DI+ > DI- and ADX > 20.
Short Entry: Enter a short position when DI- > DI+ and ADX > 20.
Avoid Sideways Markets: Do not trade when ADX is below 20. Look for other strategies for consolidation phases.
Exit Strategy: Exit the trade if ADX starts to decline or if the DI lines cross in the opposite direction.
Combine with Other Indicators: Use additional indicators like RSI, moving averages, or support/resistance to filter and confirm signals.
Uber Baseline V2 - NNFX Edition [UTS]Uber Baseline V2 – NNFX Edition
Uber Baseline V2 – NNFX Edition is a highly customizable baseline component designed for seamless integration into any trading system. Tailored specifically for the No Nonsense Forex (NNFX) methodology, it serves as a powerful trend filter—helping traders stay aligned with the dominant market direction while avoiding low-probability trades during consolidation.
Choose from 26 high-quality moving averages to find the perfect-fitting baseline for your trading style. Whether you're trend-following or building a complete NNFX stack, this tool adapts to your strategy with precision and clarity.
Usage
🧭 Baseline as Trend Filter
Direction: Trade only in the direction of the baseline. A long entry is only valid if the price closes above the baseline; a short entry only if it closes below.
As VP explains, the baseline “is making sure you are getting into trades that are trending, keeping you out of trades that aren’t trending” and signals exits when trends fail.
📈 Entry Rule (Baseline Cross + ATR)
Baseline Cross: An entry occurs only when price crosses and closes on the opposite side of the baseline.
ATR Zone: The close must lie within a ±1×ATR band around the baseline. In other words, price must close within “the 1 ATR zone of the baseline”.
Confirmations: All primary/secondary confirmation indicators and volume must agree with the move.
“An entry should occur when price crosses the baseline and the price is within the 1 ATR zone of the baseline and all of your indicators agreeing.”
🔁 Beyond-ATR & Pullback Rule
No Immediate Entry: If a baseline signal occurs while price is outside the ±1×ATR band, do not enter immediately. Treat this as a pullback scenario.
Wait for Retrace:
“WATCH for next candle” – enter only when the next bar closes back within the 1×ATR band around the baseline.
If price had closed beyond 1×ATR, only enter when a subsequent candle closes within 1×ATR of the baseline, with all indicators still aligned.
“If Price closes within 1×ATR of Baseline you can enter trade.”
⏳ One-Candle Rule
Filter Lag: If the primary confirmation (C1) fires but the secondary or volume indicators have not yet signaled, you may delay entry by one bar.
Second Chance Entry:
“You can wait one more candle after and enter if your secondary indicator and/or volume indicator have caught up and are giving you a signal.”
This delay is allowed only once per signal and all conditions must be met on the second candle.
Moving Averages
Trend-determining method offers 26 high quality Moving averages to choose.
"SMA", Simple Moving Average, R. H. Hooker, 1901
"EMA", Exponential Moving Average, P. N. Haurlan, early 1960s
"MDMA", McGinley Dynamic MA, John R. McGinley, 1990s
"DSEMA", Double Smoothed EMA, William Blau, year unknown
"DEMA", Double EMA, Patrick G. Mulloy, 1994
"TEMA", Triple EMA, Patrick G. Mulloy, 1994
"WMA", Weighted MA, Author and year unknown
"PWMA", Parabolic Weighted MA, Author and year unknown
"VWMA", Volume Weighted MA, Author and year unknown
"HULL", Hull MA, Alan Hull, 2005, year unknown
"TMA", Triangular MA, Author and year unknown
"B2P", Two Pole Ehlers Butterworth, John F. Ehlers, 2004
"S2P", Two Pole Ehlers Smoother, John F. Ehlers, year unknown
"S3P", Three Pole Ehlers Smoother, John F. Ehlers, year unknown
"SINE", Sine Weighted MA, Author and year unknown
"LINREG", Linear Regression Value (LSMA), Author and year unknown
"ILINREG", Integral of Linear Regression Slope, Author and year unknown
"NLMA", Non Lag MA, Author and year unknown
"ZLMA", Zero Lag MA, Author and year unknown
"SMOOTHER", Smoother, Author and year unknown
"SSM", Super Smoother, John F. Ehlers, year unknown
"ALMA", Arnaud Legoux MA, Arnaud Legoux, year unknown
"KAMA", Kaufman Adaptive MA, Perry J. Kaufman, 1998
"FRAMA", Fractal MA, John F. Ehlers, year unknown
"RMA", Running MA, J. Welles Wilder Jr., 1978
"JMA", Jurik Moving Average, Mark Jurik, year unknown
Signals
The indicator displays buy/sell signals, Beyond-ATR signals, and recommends when a pullback entry is possible.
Long Signal
Short Signal
Beyond-ATR: Long Signal
Beyond-ATR: Short Signal
Pullback Possible: Long Signal
Pullback Possible: Short Signal
Alerts
Each chart signal can trigger an alert with the same name. To avoid multiple alerts being triggered within a single candle, it is recommended to wait for the candle to close and use the 'On Bar Close' setting.
Long Signal
Short Signal
Beyond-ATR: Long Signal
Beyond-ATR: Short Signal
Pullback Possible: Long Signal
Pullback Possible: Short Signal
About
Name: Uber Baseline V2 - NNFX Edition
Created: 2025/05/09
PineScript: v6
Hybrid Swing/Day Alert System - PLATINUM EditionThis indicator is a complete trading assistant designed for crypto swing and day traders, built to identify high-probability long and short setups based on a multi-confirmation system.
Strategy Logic
The system scans and confirms entries only when 6 major confluences align:
1. EMA Trend: Price is above or below the EMA 9, 21, and 200 (bullish or bearish trend).
2. RSI Zone: RSI(14) is between 40-60 (ideal reversal zone).
3. Volume Confirmation: Volume is declining on pullback and then spikes.
4. Accumulation/Distribution: A/D line rising (for longs) or falling (for shorts).
5. Fibonacci Pullback Zone: Automatic detection of swing high/low and checks if price is inside the golden zone (0.5-0.618).
Built-In Alerts
- Long Setup Confirmed - Short Setup Confirmed - Setup Forming: Monitor
Conclusion
This script is ideal for disciplined traders who value confluence-based entries, risk/reward logic, and trend-aligned trades. Perfect for semi-automated trading via alerts or manual execution.6. Candle Pattern: Bullish (hammer, doji, engulfing) or Bearish (rejection wick, engulfing, doji).
Visual Features
- Long Entry: Green square
- Short Entry: Red triangle
- Pre-Signal Alert: Blue circle (confluence forming)
- Dynamic Table: Displays all 6 confirmations in real time
- Fibonacci Zones: Auto-plotted long/short retracement zones
- Customizable: Turn on/off alerts, overlays, and direction filters
Best Use Cases
- 4H/Daily: Trend confirmation
- 1H: Entry execution
- 15min: Scalping (use cautiously)
- Works great with BTC, ETH, SOL, XAU, and meme coins
Uber Baseline V2 - Lite: NNFX Edition [UTS]Uber Baseline V2 – NNFX Edition
Uber Baseline V2 – NNFX Edition is a highly customizable baseline component designed for seamless integration into any trading system. Tailored specifically for the No Nonsense Forex (NNFX) methodology, it serves as a powerful trend filter—helping traders stay aligned with the dominant market direction while avoiding low-probability trades during consolidation.
Choose from 26 high-quality moving averages to find the perfect-fitting baseline for your trading style. Whether you're trend-following or building a complete NNFX stack, this tool adapts to your strategy with precision and clarity.
Usage
🧭 Baseline as Trend Filter
Direction: Trade only in the direction of the baseline. A long entry is only valid if the price closes above the baseline; a short entry only if it closes below.
As VP explains, the baseline “is making sure you are getting into trades that are trending, keeping you out of trades that aren’t trending” and signals exits when trends fail.
📈 Entry Rule (Baseline Cross + ATR)
Baseline Cross: An entry occurs only when price crosses and closes on the opposite side of the baseline.
ATR Zone: The close must lie within a ±1×ATR band around the baseline. In other words, price must close within “the 1 ATR zone of the baseline”.
Confirmations: All primary/secondary confirmation indicators and volume must agree with the move.
“An entry should occur when price crosses the baseline and the price is within the 1 ATR zone of the baseline and all of your indicators agreeing.”
🔁 Beyond-ATR & Pullback Rule
No Immediate Entry: If a baseline signal occurs while price is outside the ±1×ATR band, do not enter immediately. Treat this as a pullback scenario.
Wait for Retrace:
“WATCH for next candle” – enter only when the next bar closes back within the 1×ATR band around the baseline.
If price had closed beyond 1×ATR, only enter when a subsequent candle closes within 1×ATR of the baseline, with all indicators still aligned.
“If Price closes within 1×ATR of Baseline you can enter trade.”
⏳ One-Candle Rule
Filter Lag: If the primary confirmation (C1) fires but the secondary or volume indicators have not yet signaled, you may delay entry by one bar.
Second Chance Entry:
“You can wait one more candle after and enter if your secondary indicator and/or volume indicator have caught up and are giving you a signal.”
This delay is allowed only once per signal and all conditions must be met on the second candle.
Moving Averages
Trend-determining method offers 26 high quality Moving averages to choose.
"SMA", Simple Moving Average, R. H. Hooker, 1901
"EMA", Exponential Moving Average, P. N. Haurlan, early 1960s
"MDMA", McGinley Dynamic MA, John R. McGinley, 1990s
"DSEMA", Double Smoothed EMA, William Blau, year unknown
"DEMA", Double EMA, Patrick G. Mulloy, 1994
"TEMA", Triple EMA, Patrick G. Mulloy, 1994
"WMA", Weighted MA, Author and year unknown
"PWMA", Parabolic Weighted MA, Author and year unknown
"VWMA", Volume Weighted MA, Author and year unknown
"HULL", Hull MA, Alan Hull, 2005, year unknown
"TMA", Triangular MA, Author and year unknown
"B2P", Two Pole Ehlers Butterworth, John F. Ehlers, 2004
"S2P", Two Pole Ehlers Smoother, John F. Ehlers, year unknown
"S3P", Three Pole Ehlers Smoother, John F. Ehlers, year unknown
"SINE", Sine Weighted MA, Author and year unknown
"LINREG", Linear Regression Value (LSMA), Author and year unknown
"ILINREG", Integral of Linear Regression Slope, Author and year unknown
"NLMA", Non Lag MA, Author and year unknown
"ZLMA", Zero Lag MA, Author and year unknown
"SMOOTHER", Smoother, Author and year unknown
"SSM", Super Smoother, John F. Ehlers, year unknown
"ALMA", Arnaud Legoux MA, Arnaud Legoux, year unknown
"KAMA", Kaufman Adaptive MA, Perry J. Kaufman, 1998
"FRAMA", Fractal MA, John F. Ehlers, year unknown
"RMA", Running MA, J. Welles Wilder Jr., 1978
"JMA", Jurik Moving Average, Mark Jurik, year unknown
Signals
The indicator displays buy/sell signals, Beyond-ATR signals, and recommends when a pullback entry is possible.
Long Signal
Short Signal
Beyond-ATR: Long Signal
Beyond-ATR: Short Signal
Pullback Possible: Long Signal
Pullback Possible: Short Signal
Alerts
Each chart signal can trigger an alert with the same name. To avoid multiple alerts being triggered within a single candle, it is recommended to wait for the candle to close and use the 'On Bar Close' setting.
Long Signal
Short Signal
Beyond-ATR: Long Signal
Beyond-ATR: Short Signal
Pullback Possible: Long Signal
Pullback Possible: Short Signal
Lite Version Constraints
The 'Lite' version keeps things easy, focused on forex and EUR/USD.
About
Name: Uber Baseline V2 – Lite: NNFX Edition
Created: 2025/05/09
PineScript: v6
Ceres Trader Simple Trend & Momentum SignalsCeres Trader – Simple Trend & Momentum Signals
Description:
Cut through chart noise with a lightweight, two-factor signal system that combines a classic trend filter (200 EMA) with momentum confirmation (smoothed RSI as a QQE proxy). This indicator plots clean entry arrows—no background shading, no clutter—so you can trade only in the high-probability regime:
Trend Filter: 200-period exponential moving average
Momentum Filter: RSI(14) smoothed over N bars, offset by 50 to create a zero-line
Long Entry: Price above the 200 EMA and the smoothed RSI crosses up through zero → green up-arrow below bar
Short Entry: Price below the 200 EMA and the smoothed RSI crosses down through zero → red down-arrow above bar
Key Features:
Minimalist display: only the 200 EMA and entry arrows
Customizable inputs: EMA length, RSI length, RSI smoothing period
Ultra-low CPU load: suitable for lower timeframes (e.g. 1 min gold futures)
Yellow label text: for optimal visibility on dark or light chart backgrounds
How to Use:
Add the script to your TradingView chart.
Choose your timeframe and adjust inputs as needed.
Take only the long signals when price is above the EMA, and only the short signals when price is below.
Place stops just beyond the EMA; targets can be measured swings or fixed R-multiples.
Notes:
Designed as a regime-based entry filter—no exits or background fills included.
Feel free to combine with your own stop-loss, take-profit, and money-management rules.
Trade smarter, not harder—let the market tell you only when both trend and momentum align.
Volume Nodes Probability Gauge[VIO]Volume Nodes Probability Gauge
This indicator helps identify and analyze significant volume nodes on the chart. It visualizes the probability of these key price levels holding based on how many times price has interacted with them. Additionally, it provides a dynamic volatility pressure gauge next to nearby volume nodes, offering insight into the current market volatility as price approaches these levels. The indicator also includes customizable alerts for level crossings combined with specific volatility conditions.
Key Features:
Significant Volume Node Identification: Automatically detects price levels with notable volume activity.
Probability Visualization: Displays a probability percentage next to each volume node, which decreases as the level is touched more frequently.
Volatility Pressure Gauge: Shows a visual gauge next to nearby volume nodes, indicating the current volatility pressure (bullish/green or bearish/red) and its intensity.
Customizable Alerts: Set alerts for price crossing significant volume nodes based on increasing/decreasing average volatility, high volatility levels, or any volatility.
Adjustable Sensitivity: Control the strength and number of volume nodes detected.
Customizable Visuals: Configure the appearance of volume nodes based on their "touched" state (Naked, Dirty, Faded).
Okay, I can explain how you might use the "Volume Nodes Probability Gauge " indicator in a trading context. The indicator provides several pieces of information that can be combined to inform potential trading decisions.
Here's a breakdown of how to interpret and potentially trade using its features:
Volume Nodes as Support/Resistance:
Interpretation: The core of the indicator is identifying price levels where significant volume has traded in the past. These levels often act as areas of support (where buying pressure might step in) or resistance (where selling pressure might emerge).
Trading Idea: Look for price reactions around these visualized volume nodes.
Long Entry: Consider long positions if price approaches a volume node from above and shows signs of support (e.g., bullish price action, rejection candles).
Short Entry: Consider short positions if price approaches a volume node from below and shows signs of resistance (e.g., bearish price action, rejection candles).
Probability Gauge:
Interpretation: The probability percentage next to each node gives you an idea of how "fresh" or "tested" the level is. A higher percentage (less touches) suggests the level hasn't been heavily traded since it formed, potentially making it a stronger barrier on the first few tests. A lower percentage (more touches) indicates the level has been revisited multiple times, which could mean it's weakening or acting as a magnet.
Trading Idea:
Higher Probability (e.g., 80%+): These "Naked" or "Dirty" levels (0-1 touches) might offer stronger initial reactions. You might look for bounce trades off these levels with tighter stops.
Lower Probability (e.g., < 50%): These "Faded" levels (2+ touches) might be more prone to breaking. You might look for breakout trades through these levels, or anticipate price consolidating around them.
Volatility Pressure Gauge:
Interpretation: This gauge shows the current volatility pressure (increasing/decreasing average volatility) as price gets close to a specific volume node.
Green Gauge (Increasing Average Volatility): Suggests volatility is expanding as price nears the node. This can indicate potential for a strong move or a breakout.
Red Gauge (Decreasing Average Volatility): Suggests volatility is contracting as price nears the node. This might precede consolidation or a less impulsive reaction at the level.
Trading Idea:
Green Gauge at a Node: If price is at a volume node with a green volatility gauge, it could signal an impending breakout or a strong impulsive bounce/rejection. This might increase confidence in a breakout trade (if other factors align) or suggest a potentially volatile reaction if trading a bounce.
Red Gauge at a Node: If price is at a volume node with a red volatility gauge, it might suggest consolidation around the level or a less aggressive reaction. This could be useful for range-bound strategies or anticipating a slower move.
Volatility Crossing Alerts:
Interpretation: These alerts notify you when price crosses a volume node and a specific volatility condition is met (increasing average volatility, high volatility level, or any volatility).
Trading Idea: Use these alerts as potential entry signals or confirmation of a move.
An alert with "Increasing Average Volatility" or "High Volatility Level" when price crosses a node could signal a high-momentum breakout or breakdown.
You can configure the alerts to notify you based on the volatility condition that best suits your trading style.
Combining Signals:
The most effective way to use this indicator is likely by combining the signals. For example:
A high-probability (Naked/Dirty) volume node + price showing rejection + Green Volatility Pressure Gauge could be a strong confluence for a bounce trade.
A low-probability (Faded) volume node + price breaking through + Green Volatility Pressure Gauge could indicate a higher likelihood of a successful breakout trade.
Remember that no indicator is perfect, and it's crucial to use this in conjunction with your overall trading strategy, risk management, and other analysis tools. Experiment with the different input settings to find what works best for the instruments and timeframes you trade.
AL Brooks - Price Action Multi-Signal Suite📘 Price Action Multi-Signal Suite📘
This indicator is a complete visual toolset for traders who use price action principles inspired by Al Brooks-style analysis.
It combines multiple nuanced signals — like first/second entries, breakout failures, trend bias, higher-timeframe context, and dynamic trend channels — into one elegant, customizable interface.
It is built with clarity, flexibility, and actionable precision in mind.
🧠 Core Concepts Behind the Tool
1. Trend Bias with EMA (20 by default)
The indicator calculates a standard EMA (default: 20) to establish trend direction bias.
When price is above EMA, we consider the market to be in a bull trend, and vice versa.
The EMA line changes color dynamically — green (bull), red (bear), gray (neutral).
🟢 Example:
If price is forming higher highs and staying above EMA with strong bull bars, the bias is bullish. In this phase, you're looking for High 1 and High 2 (H1/H2) setups.
2. First and Second Entries (H1/H2 and L1/L2)
High 1 (H1): First pullback in a bull trend after a minor new high.
High 2 (H2): A second attempt to push up after a failed H1.
Low 1 (L1) and Low 2 (L2): Mirror the above logic for bear trends.
📈 Example Trade – H2 Long:
Price breaks out above EMA.
Pulls back and forms an H1, but it fails to break out.
Second push (H2) forms a higher low, then closes strong above previous bar → BUY entry.
📉 Example Trade – L2 Short:
Market is below EMA.
A rally creates L1, fails.
L2 forms and closes below the previous bar low with a bear body → SELL entry.
3. Second Entry Logic (Simplified Swing Count)
This adds context to H2/L2 by ensuring at least two swings occurred in the same direction.
Reduces false signals in choppy markets.
Painted as colored circles (aqua = long, fuchsia = short).
4. Breakout Failure Detection
Detects false breakouts using 10-bar highs/lows:
Failed High Breakout: Price breaks a 10-bar high but closes back inside → potential reversal short.
Failed Low Breakout: Price breaks a 10-bar low but closes back inside → potential long.
🚨 Example:
Price breaks above a recent high but closes below it with a strong bear bar → look for reversal or fade setups.
5. Inside / Outside Bars
Helps recognize compression (inside bars) or volatility expansions (outside bars).
Inside bars often precede breakouts.
Outside bars may signal traps or indecision.
Use these in combination with entry logic. An H2 after an inside bar can signal a strong, clean breakout.
6. Higher Timeframe (HTF) Context
Pulls EMA and trend bias from a higher timeframe (default: 1hr).
Background color indicates HTF bias (adjustable opacity).
Green = HTF uptrend.
Red = HTF downtrend.
🧭 Usage: Trade in the direction of the HTF bias when possible. An H2 with HTF bias bullish adds confluence.
7. Trend Channels (Automatic, Visual)
Dynamically draws trend channel lines based on pivot highs/lows.
These act as support/resistance, visual guides for traps or continuation.
Trendline breakouts or touches often align with H2/L2 setups.
📏 Example:
Price touches lower channel and forms a second entry long (L2) with a strong bull bar → high-quality reversal trade.
⚙️ Customization Options
Toggle each signal component (entries, bias, bars, failures, channels).
Adjust EMA length, HTF resolution, background opacity.
Keep your chart clean and focused on the signals that matter to you.
📊 Trade Example Summary
H2 with HTF Bullish
Trade Setup: Strong bull bar after a failed H1, above EMA
Expected Move: Trend continuation upward
L2 with Channel Hit
Trade Setup: Pullback hits lower trend channel, forms L2
Expected Move: Reversal or scalp down
Failed High Breakout
Trade Setup: Price breaks above a 10-bar high, but reverses and closes inside
Expected Move: Quick fade or reversal short
Inside Bar + H2
Trade Setup: Price compresses into an inside bar, followed by a breakout with H2
Expected Move: Momentum breakout trade
Outside Bar + L2
Trade Setup: Price breaks strongly in one direction (outside bar), second push fails upward, forms L2
Expected Move: Short on weakness
Please note, this is an educational idea and representation of whatever I understood of it.
Historical performances may not be replicable in present/future.
Trade at your own responsibility.
Regards! ^^
SwingArm ATR Trend (Blackflag FTS) + HTF Zones & Trail📐 SwingArm ATR Trend + HTF Zones | Blackflag FTS Concept
A precision-engineered volatility mapping and trend-trailing system inspired by the Blackflag FTS / SwingArm ATR methodology — now enhanced with multi-timeframe confluence, adaptive ATR zones, and Fibonacci-level support/resistance architecture.
Designed for trend traders, scalpers, and swing specialists, this tool visually defines where price is likely to pivot, trend, or exhaust — based entirely on structure and volatility, not lagging signals.
🧩 Core Logic
🔹 Adaptive Swing Zones (Current TF)
Built using Fibonacci-scaled ATR offsets from a dynamic midline (the average of the session high/low), these zones evolve with price structure:
Zone +1 / -1: Primary volatility boundaries — breakout or pullback zones.
Zone +2 / -2: Extended moves — high-momentum areas.
Zone +3 / -3: Exhaustion zones — potential reversal or take-profit areas.
Color shifts dynamically based on directional bias (bullish/bearish).
🟨 Trailing Stop (Current TF)
An adaptive trailing stopline that follows trend shifts using midline ± ATR logic.
Acts as a bias filter and exit manager.
Color-coded for clarity.
Flips based on price’s relationship to the trail.
🔶 Higher Timeframe Zones (HTF Overlay)
Optional overlay that mirrors the full structure — zones + trailing stop — from a higher timeframe of your choice.
Perfect for:
Validating local moves against macro context.
Spotting higher-timeframe traps or confluence breakouts.
🛠️ Settings & Customization
ATR Period — default is 14, but adaptable to asset volatility.
Source — usually close, but adjustable for experimentation.
Show/Hide Toggles — independently control visibility for:
Current TF zones & trail
HTF overlay
Zone Colors — full control for bullish/bearish bias on both timeframes.
Line Widths — customize to fit any chart style or background.
🎯 Real-World Trade Examples
📈 Long Trend + Pullback
Price breaks through Zone +1 with momentum.
Trail flips bullish; price holds above it.
HTF trail and zones are also bullish.
Entry: On retracement to the trail or Zone +1.
Exit: At Zone +2 or a trail break.
📉 Short Reversal
Price rejects Zone +2 with bearish candle.
Trail flips to bearish shortly after.
HTF trail confirms downtrend.
Entry: On retest of Zone +1 or failed bounce at trail.
Exit: At Zone -1/-2 or upon trail break.
🔁 Range or Fade Play
In low-trend conditions, Zones +2/-2 act as mean-reversion pivot points.
Scalp entries can be taken with tight stops near those extremes.
Avoid during clear HTF directional bias.
🧠 Trading Tips
Trend + Structure + Volatility = edge.
Let zones act as your pre-defined decision map.
Use the HTF layer to validate or fade local setups.
Great in combination with:
Price action or liquidity maps
Volume profile / OBV
Oscillators for entry timing
✅ Summary
This indicator helps you:
Stay in trends longer with smart trailing logic.
Know exactly where volatility could expand or exhaust.
Align entries with multi-timeframe structure.
Visually separate trending from ranging conditions.
It's an educational idea, and it doesn’t predict the future — it frames it with objective volatility zones so you can trade with clarity and confidence.
Regards!
[blackcat] L2 EMA NexusOVERVIEW
The L2 EMA Nexus is a comprehensive trading indicator that utilizes a three-tiered Exponential Moving Average (EMA) system to identify potential trading opportunities. This script combines technical analysis with robust risk management features to help traders make informed decisions.
KEY FEATURES
• Triple EMA Analysis:
Customizable source inputs for each EMA
Adjustable length parameters (3, 8, 21 periods)
Dynamic color coding based on trend direction
Real-time price action monitoring
• Advanced Entry Signals:
High-low price action verification
EMA cross-overs and cross-unders
Multi-timeframe trend confirmation
Dynamic position sizing limits
• Risk Management:
Configurable Take Profit levels
Flexible Stop Loss settings
Optional TP/SL activation
Clear visual indicators for levels
HOW TO USE
Setup Initial Parameters:
Configure EMA lengths for your timeframe
Set Take Profit percentage (default 25%)
Define Stop Loss percentage (default 2.5%)
Adjust pyramiding limit as needed
Enable/Disable Features:
Toggle TP/SL settings based on strategy
Customize alert conditions
Modify visual labels for clarity
Monitor Trading Signals:
Watch for buy/sell labels
Track TP/SL levels
Monitor position status
TRADE MANAGEMENT
• Entry Conditions:
Long Entry: Higher high with rising EMA1 and stable EMA3
Short Entry: Lower low with falling EMA1 and stable EMA2
• Exit Conditions:
Take Profit: Price reaches defined percentage above/below entry
Stop Loss: Price reaches defined percentage below/above entry
• Position Control:
Limited to specified number of positions
Automatic position tracking
Clear visual indication of current trades
TECHNICAL DETAILS
• EMA Calculation:
Uses Exponential Moving Average for trend following
Color-coded based on 2-bar trend direction
Multiple timeframe compatibility
• Label System:
Clear buy/sell markers
Take Profit and Stop Loss indicators
Real-time position status updates
• Alert Configuration:
Customizable alert messages
Multiple alert conditions
Option to enable/disable specific alerts
LIMITATIONS
⚠️ Important Considerations:
Results may vary across different market conditions
Historical performance does not guarantee future results
Always backtest strategy before live trading
Consider complementing with additional analysis tools
BEST PRACTICES
• Recommended Timeframes:
Daily charts for long-term strategies
4-hour charts for swing trading
1-hour charts for short-term trading
• Risk Management Tips:
Start with small position sizes
Always use TP/SL in live trading
Monitor market volatility before entering trades
TROUBLESHOOTING
• Common Issues:
Ensure proper chart resolution
Verify alert conditions are enabled
Check for conflicting indicators
• Performance Optimization:
Use appropriate timeframe for your strategy
Adjust indicator parameters based on market conditions
Monitor for potential overfitting
