Parabolic SAR Flip Quality [AGPro Series]Parabolic SAR Flip Quality
🧠 Core Idea
Is this Parabolic SAR flip strong enough to plan around, or is it just another noisy stop-and-reverse signal?
📌 Overview / What it does
Parabolic SAR Flip Quality is a planner-style Parabolic SAR overlay built to evaluate PSAR flip conditions as trade-decision context, not as simple directional signals.
The script keeps the classic Parabolic SAR dot trail visible, then adds a professional quality model that measures flip strength, trend alignment, SAR distance, candle efficiency, volatility expansion, and prior-leg maturity. The result is a clear 0-100 readiness score that helps traders judge whether the current PSAR flip environment is valid, weak, developing, or blocked.
It produces qualified flip labels, SAR dots, a SAR-native protection band, and a compact AGPro panel showing Flip Side, SAR Distance, Trend Filter, and Quality Score. It does not automate trades, predict future price, or tell users what to buy or sell. It organizes PSAR flip context into a cleaner decision framework.
🎯 Purpose & Design Philosophy
Most Parabolic SAR tools show where the SAR dots are and where the stop-and-reverse event happened. That is useful, but it often leaves the trader with the harder question: is this flip actually good enough to act on, monitor, or ignore?
This script was built to fill that gap. It turns a classic indicator into a structured decision engine by asking whether the flip has enough distance, trend support, expansion, and maturity behind it.
The design supports traders who want cleaner execution readiness, not more noise. It is built for chart readers who want to evaluate setup quality, risk area, invalidation context, and next-action state before making their own decision.
⚡ Why This Script Is Different
Most tools focus on printing every Parabolic SAR flip as if all flips have similar meaning.
This script does NOT treat a dot-side change as a complete setup. It also does not turn PSAR into a generic signal board or a generic support/resistance zone map.
Instead, it evaluates the flip as a planning event. The script scores the quality of the transition, checks whether trend conditions support the new side, measures how far price is from the SAR reference, and projects a SAR Protection Band that represents the stop-defense area created by the qualified flip.
The difference is the decision layer:
• Is the flip valid?
• How strong is it?
• Where is the SAR-based invalidation area?
• Is the trend filter helping or blocking the setup?
• What is the current read now?
⚙️ Methodology
1. Context Detection
The script detects whether price is currently operating on the bullish or bearish side of the Parabolic SAR. It also tracks raw SAR flips and measures how mature the prior SAR leg was before the transition.
2. Reference Mapping
The active SAR value becomes the primary reference point. Distance from SAR is normalized by ATR so the read adapts across symbols and timeframes.
3. Reaction Evaluation
Each flip is evaluated through a multi-factor quality model:
• SAR distance versus ATR
• EMA trend alignment
• EMA slope direction
• DMI directional agreement
• ADX trend strength
• Candle body efficiency
• Range expansion
• Prior-leg maturity
These conditions are combined into a 0-100 Quality Score.
4. Visual Output
When a flip passes the quality threshold, trend filter, SAR distance requirement, confirmation setting, and cooldown control, the script promotes it into a qualified chart label. It can also draw a SAR Protection Band around the flip's SAR reference for forward context.
🗺️ How to Read the Chart
SAR dots show the classic Parabolic SAR trail. Bullish dots appear below price, and bearish dots appear above price.
Qualified flip labels mark PSAR flips that passed the quality and trend conditions. The label includes the flip side and the quality score, allowing quick comparison between stronger and weaker transitions.
The SAR Protection Band represents the PSAR-based stop-defense area created after a qualified flip. It is not a generic support/resistance zone. It is a SAR-native invalidation and planning reference.
Colors follow the AGPro visual language:
• Teal = bullish side or bullish qualified flip
• Pink = bearish side or bearish qualified flip
• Gold = neutral, blocked, or caution state
• Indigo = trend backbone reference
The panel summarizes the active read:
• Flip Side
• SAR Distance
• Trend Filter
• Quality Score
🚦 Signals & States
• Bullish Flip → A qualified PSAR transition to the bullish side.
• Bearish Flip → A qualified PSAR transition to the bearish side.
• Trend Filter PASS → The broader trend filter agrees with the current SAR side.
• Trend Filter BLOCKED → The SAR side is active, but the broader trend filter does not fully support it.
• High Quality Score → The flip has stronger alignment across distance, trend, expansion, efficiency, and maturity.
• WAIT Grade → The current condition does not meet the preferred readiness profile.
These are analytical states, not trade instructions.
🔔 Alerts Logic
Alerts trigger only when a qualified bullish or bearish PSAR flip is confirmed by the script's quality rules.
• Qualified Bullish PSAR Flip → A bullish SAR flip passed the trend filter, quality threshold, SAR distance threshold, cooldown rule, and confirmation setting.
• Qualified Bearish PSAR Flip → A bearish SAR flip passed the trend filter, quality threshold, SAR distance threshold, cooldown rule, and confirmation setting.
Alerts are attention markers. They are not automated trading instructions and do not guarantee future movement.
🧩 Confluence Logic
The strongest context appears when several conditions align at the same time:
• PSAR flips to a new side
• Price has enough ATR-normalized distance from SAR
• EMA trend direction supports the flip
• DMI confirms directional pressure
• ADX shows enough trend strength
• Candle structure shows real expansion
• The previous SAR leg was mature enough
When these elements align, the flip becomes more useful as a planning reference.
📊 When to Use
This script is best suited for:
• Trending markets where SAR transitions can develop into continuation phases
• Swing-trading review on higher timeframes
• Crypto, forex, stocks, indices, and commodities with enough liquidity
• PSAR users who want a readiness score instead of raw dot flips
• Traders who want a cleaner invalidation reference around qualified SAR flips
• Multi-timeframe analysis where the user wants to compare flip quality across chart periods
⚠️ When NOT to Use
This script is less useful in:
• Very low-liquidity markets
• Extremely noisy sideways chop
• News-driven spikes where ATR and structure can distort quickly
• Ultra-low timeframes with unstable spread or poor execution quality
• Markets where price repeatedly flips around the SAR without trend expansion
In these conditions, raw PSAR flips and quality labels can become less reliable as planning references.
🎛️ Key Inputs
• SAR Start → Controls the initial Parabolic SAR acceleration factor.
• SAR Increment → Controls how quickly the SAR acceleration increases as the trend develops.
• SAR Maximum → Controls the maximum SAR acceleration level.
• Trend EMA Length → Defines the trend backbone used by the filter.
• DMI Length and ADX Smoothing → Control directional pressure and trend-strength measurement.
• Minimum ADX → Sets the required trend-strength floor.
• Minimum Quality Score → Defines how selective qualified flip labels should be.
• Minimum SAR Distance ATR → Blocks cramped flips that occur too close to the SAR reference.
• Prior Leg Maturity Bars → Requires the prior SAR leg to have enough development before a flip receives full maturity credit.
• Flip Cooldown Bars → Controls label density and keeps the chart readable.
• SAR Protection Band settings → Control the width, forward projection, and maximum active bands.
• Panel and Label Font Size → Adjust visual readability, with Normal as the default.
• Panel Location and Theme → Control the AGPro panel placement and appearance.
🖥️ Interface & Visual Design
The interface is designed to be premium, compact, and decision-focused.
The chart keeps the classic PSAR dots as the main visual anchor. Qualified labels appear only when the flip passes the selected filters. The SAR Protection Band is transparent and restrained so it adds planning context without overwhelming candles.
The AGPro panel uses a single merged blue header row with the script name, followed by a clean four-row readout. Its purpose is to summarize the current decision state without turning the chart into a dashboard-heavy layout.
🧪 Practical Usage Workflow
1. Read the panel.
Check the active Flip Side, SAR Distance, Trend Filter, and Quality Score.
2. Check the latest qualified label.
Compare the quality score with the minimum threshold and with prior labels on the chart.
3. Review the SAR Protection Band.
Use the band as a SAR-native planning reference for where the qualified flip should remain structurally defended.
4. Confirm broader context.
Compare the flip with trend direction, volatility, market structure, and timeframe behavior.
5. Decide independently.
Use the output as structured context, not as an automatic trade command.
🔍 Interpretation Guidelines
A strong read usually has a qualified flip label, a passing trend filter, enough SAR distance, and a higher quality grade.
A weaker read may show an active SAR side but a blocked trend filter or a low score. This means the SAR state exists, but the planning context is not strong enough under the script's model.
The SAR Protection Band should be interpreted as a stop-defense and invalidation reference. If price respects it, the flip context remains cleaner. If price violates it, the qualified flip has lost part of its structural value.
The best use of the script is comparison: compare current flip quality against previous flips, across timeframes, and across market conditions.
🚫 What This Script Is NOT
This script is not a prediction engine.
It is not financial advice.
It is not an auto-trading system.
It does not guarantee profitable signals.
It does not replace independent analysis, position sizing, risk management, or broader market context.
⚠️ Limitations & Transparency
Parabolic SAR is a trend-following concept, so it can struggle in choppy or directionless markets.
Quality scoring improves structure, but it cannot remove all false transitions. Timeframe selection, volatility regime, liquidity, and market session can affect how signals appear and how useful the SAR Protection Band becomes.
The script is rule-based and transparent. It reads current and historical chart data according to the selected inputs. It does not know future price behavior.
🧠 Market Context Notes
PSAR flips tend to become more meaningful when they occur with volatility expansion, directional pressure, and enough distance from the SAR reference.
In compressed markets, the dots may switch sides more frequently and the score may change quickly. In stronger trends, the SAR dots often create cleaner trailing structure, and qualified flips can become more useful as planning events.
The best interpretation comes from combining the panel state, SAR distance, label quality, protection band behavior, and the broader market environment.
🧾 Use Case Examples
When price flips bullish, the trend filter passes, SAR distance expands above the minimum threshold, and the quality score is high, the user can treat that area as a cleaner bullish planning context.
When price flips bearish but the trend filter is blocked, the script communicates caution. The SAR side changed, but the broader read is not aligned.
When price returns to the SAR Protection Band after a qualified flip, the user can monitor whether the band is respected or violated as part of the invalidation read.
🧱 System Philosophy
The purpose of this script is not to add another signal to the chart.
The purpose is to turn a classic indicator into a decision-support framework:
• Setup validity
• Quality strength
• Trend agreement
• Risk reference
• Invalidation context
• Current action state
This is the AGPro direction: tools that help traders make better decisions, not tools that simply decorate the chart with more signals.
🔐 Non-Promise Statement
No indicator can provide certainty.
This script does not promise future outcomes, guaranteed performance, or risk-free execution.
Its role is to organize Parabolic SAR flip context into a clearer analytical structure.
📉 Risk Disclosure
Trading involves risk, and market conditions can change quickly.
This script is provided for educational and analytical purposes only. It does not provide financial advice, investment advice, or guaranteed trading outcomes.
Users are responsible for their own analysis, decisions, risk management, and trading results.
📚 Educational Note
Parabolic SAR is one of the most recognized stop-and-reverse indicators because it makes trend state visually simple. This script keeps that visual simplicity while adding a quality and planning layer so users can study which flips deserve more attention and which ones should remain secondary context. Indicator
Intuitive Predictive MACD TargetsThis indicator uses Reverse Engineering math to calculate the exact price the market needs to reach for specific MACD events to happen on the current bar.
Standard MACD is a lagging indicator—you usually wait for the candle to close to confirm a signal. This script changes that by drawing "Finish Lines" on your chart, showing you exactly where price must go right now to trigger a Crossover or a Momentum Hook.
The "Reverse Engineering" Concept
Instead of calculating MACD from Price, we calculate the Required Price from the Target MACD.
Q: "At what price will the MACD line cross the Signal line?"
A: The script solves this and draws the Green/Red "Crossover" Line.
Key Features
1. Three Distinct Targets
Crossover Target (PCO/NCO): The exact price needed to trigger a Buy/Sell signal on the current candle.
Dynamic Coloring: Turns Green if price needs to go UP to cross, Red if price needs to go DOWN.
Settlement Target (The Hook): The exact price where the MACD momentum flattens out (Angle = 0). If price touches this Orange Dashed Line, the trend is likely pausing or preparing to reverse.
Zero Cross Target: The price needed for MACD to reclaim the Zero Line.
2. Smart "Staggered" Labels (No Overlap)
Unlike other scripts where text piles up and becomes unreadable, this indicator automatically spreads labels horizontally.
Crossover info stays near the price.
Settlement info is shifted to the right.
Zero info is shifted further right.
Result: You can read all three targets clearly, even if the prices are almost identical.
3. Full Customization
Line Length: Choose "Infinite" to see targets as Support/Resistance levels across the screen, or "Short" to keep your chart background clean.
Text Visibility: Option to force text to White or Black for high contrast on Dark/Light themes.
Styles: Fully adjustable colors, line widths, and styles (Solid, Dashed, Dotted) for each target type.
How to Use
The "Finish Line" Strategy: If you are Long, and the Red NCO Line appears just below the current price, be cautious. It means a very small drop will confirm a Bearish Cross.
Momentum Checks: Watch the Orange "Settlement" Line.
If price is moving away from the Orange line, the trend is accelerating (Safe to hold).
If price touches the Orange line, momentum has died (Consider taking profit).
Settings
Visual Settings: Change Line Length (Infinite/Short) and Text Color.
MACD Settings: Standard inputs (Default 12, 26, 9).
Toggles: Option to show/hide the Zero Line target. Indicator
Fractal Fade Pro IndicatorA revolutionary contrarian trading indicator that applies chaos theory, fractal mathematics, and market entropy to generate high-probability reverse signals. This indicator fades traditional technical signals, providing BUY signals when conventional indicators say SELL, and SELL signals when they say BUY.
Full Description:
Most traders follow the herd. QFCI does the opposite. It identifies when conventional technical analysis is about to fail by detecting mathematical patterns of exhaustion in market structure.
How It Works (Technical Overview):
The indicator combines three sophisticated mathematical approaches:
Fractal Dimension Analysis: Measures the "roughness" of price movements using fractal mathematics
Market Entropy Calculation: Quantifies the randomness and disorder in price returns using information theory
Phase Space Reconstruction: Analyzes price evolution in multi-dimensional state space from chaos theory
Signal Generation Process:
Step 1: Market Regime Detection
Chaotic Regime: High fractal complexity + rising entropy (avoid trading)
Trending Regime: Low fractal complexity + high phase space distance (fade breakouts)
Mean-Reverting Regime: Very low fractal complexity (fade extremes)
Step 2: Reverse Signal Logic
When traditional indicators would give:
BUY signal (breakout, oversold bounce, volatility spike) → QFCI shows SELL
SELL signal (breakdown, overbought rejection, volatility crash) → QFCI shows BUY
Step 3: Smart Signal Filtering
No consecutive same-direction signals
Adjustable minimum bars between signals
Multiple confirmation layers required
Unique Features:
1. Mathematical Innovation:
Original fractal dimension algorithm (not standard indicators)
Market entropy calculation from information theory
Phase space reconstruction from chaos theory
Multi-regime adaptive logic
2. Trading Psychology Advantage:
Contrarian by design - profits from market overreactions
Fades retail trader mistakes - enters when others are exiting
Reduces overtrading - strict signal frequency controls
3. Clean Visual Interface:
Only BUY/SELL labels - no chart clutter
Clear directional arrows - immediate signal recognition
Built-in alerts - never miss a trade
Recommended Settings:
Default (Balanced Approach):
Fractal Depth: 20
Entropy Period: 200
Min Bars Between Signals: 100
Aggressive Trading:
Fractal Depth: 10-15
Entropy Period: 100-150
Min Bars Between Signals: 50-75
Conservative Trading:
Fractal Depth: 30-40
Entropy Period: 300-400
Min Bars Between Signals: 150-200
Optimal Timeframes:
Primary: Daily, Weekly (best performance)
Secondary: 4-Hour, 12-Hour
Can work on: 1-Hour (with adjusted parameters)
How to Use:
For Beginners:
Apply indicator to chart
Use default settings
Wait for BUY/SELL labels
Enter on next candle open
Use 2:1 risk/reward ratio
Always use stop losses
For Advanced Traders:
Adjust parameters for your trading style
Combine with support/resistance levels
Use volume confirmation
Scale in/out of positions
Track performance by regime
Risk Management Guidelines:
Position Sizing:
Conservative: 1-2% risk per trade
Moderate: 2-3% risk per trade
Aggressive: 3-5% risk per trade (not recommended)
Stop Loss Placement:
BUY signals: Below recent swing low or -2x ATR
SELL signals: Above recent swing high or +2x ATR
Take Profit Targets:
Primary: 2x risk (minimum)
Secondary: Previous support/resistance
Tertiary: Trailing stops after 1.5x risk
IMPORTANT RISK DISCLOSURE
This indicator is for educational and informational purposes only. It is not financial advice. Past performance does not guarantee future results. Trading involves substantial risk of loss and is not suitable for every investor. The risk of loss in trading can be substantial. You should therefore carefully consider whether such trading is suitable for you in light of your financial condition. Indicator
Advanced Fully Reversed Candles with Reversed IchimokuThe "Advanced Fully Reversed Candles with Reversed Ichimoku" indicator is a sophisticated tool designed for traders who seek a unique perspective on market dynamics. This innovative indicator not only reverses the traditional candlestick chart but also inverts the Ichimoku Cloud components, providing a comprehensive view of the market's inverted behavior.
Key Features:
Reversed Candlestick Chart:
The indicator recalculates the OHLC (Open, High, Low, Close) prices by reversing them along the price axis. This means that what typically would be an upward movement is displayed as a downward movement, and vice versa. This reversal provides an alternative view that can help traders identify hidden patterns and potential reversal points that might not be obvious on a standard chart.
Reversed Ichimoku Cloud:
All components of the Ichimoku Cloud indicator are recalculated based on the reversed price data. This includes:
Tenkan-sen (Conversion Line): Reversed based on the highest and lowest prices over the specified period.
Kijun-sen (Base Line): Reversed in a similar manner to the Tenkan-sen, providing a medium-term perspective on price trends.
Senkou Span A (Leading Span A): Reversed to form one boundary of the Kumo (cloud), offering insight into future support and resistance levels.
Senkou Span B (Leading Span B): Reversed to form the other boundary of the Kumo, complementing Senkou Span A.
Chikou Span (Lagging Span): Reversed and plotted backward for additional confirmation of trend direction and strength.
Dynamic Price Range Calculation:
The indicator dynamically calculates the maximum and minimum prices over the last 500 bars (or the available range if fewer bars are present). This ensures that the reversal is always based on the most relevant data, providing accurate and up-to-date visualizations.
Visual Enhancements:
The reversed candlesticks are color-coded for easy interpretation: green for upward movements and red for downward movements, based on the reversed data.
The Ichimoku Cloud is filled with semi-transparent colors to clearly distinguish between bullish and bearish conditions even in its reversed state.
Debugging Aids:
For transparency and accuracy, the indicator plots the maximum and minimum price lines used for the reversal calculations. This allows users to verify the internal workings of the indicator and ensure the reversal logic is correctly applied.
Usage:
This indicator is ideal for advanced traders and analysts who want to explore market behavior from an unconventional angle. By reversing both the candlestick chart and the Ichimoku Cloud, it provides a unique perspective that can uncover new trading opportunities and enhance market analysis.
Customization:
Users can customize the periods for the Tenkan-sen, Kijun-sen, and Senkou Span B, as well as the displacement for the Ichimoku Cloud. This flexibility allows traders to adapt the indicator to their specific trading strategies and timeframes.
Conclusion:
The "Advanced Fully Reversed Candles with Reversed Ichimoku" indicator is a powerful tool that transforms traditional market analysis. By inverting both price movements and key technical indicators, it opens up a new dimension of trading insights, helping traders to see the market in a completely different light.
Parameters:
Tenkan-sen period (default: 9)
Kijun-sen period (default: 26)
Senkou Span B period (default: 52)
Displacement (default: 26)
How to Apply:
Add the script to your PulseWire account via the Pine Editor.
Customize the parameters according to your trading strategy.
Analyze the reversed candlestick chart and Ichimoku Cloud to gain unique insights into market trends and potential reversal points. Indicator
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Strategy
RSI + MA StrategyHello, everyone!
We have just released an innovative strategy for PulseWire. It allows you to facilitate the trading process when you have to use both indicators.
This strategy is:
User-friendly
Configurable
Equipped with the combination of Relative Strength Index (RSI) and Moving Average (MA) indicators
Designed with all required functions to manage positions
Features
The RSI+MA strategy can:
Identify entry points for Long and Short positions.
Depict RSI and MA values concerning each other.
Reduce visual congestion and import usability thanks to using a combo of 2 indicators.
Allow using pivot trading. The RSI+MA strategy will enter a Long position according to the Short position conditions. And vice versa.
Note! If you want to open a Long position, the RSI line should cross MA from top to bottom. If you want to open a Short position, RSI has to cross MA from bottom to top.
Parameters
We have equipped our strategy with more than 14 additional parameters. So, you can configure the EA according to your needs!
Inputs :
Use Reverse Trade — allows swapping Long and Short positions opening conditions.
Resolution — allows you to view an indicator with data on a higher or lower timeframe on the current chart.
RSI Length
RSI Source: Open, High, Low, Close, HL2, HLC3, OHLC4
Show MA — allows you to enable or disable MA displaying.
MA Length
MA Offset
Style:
RSI — RSI indicator line color and style settings.
MA — MA indicator line color and style configuration.
Upper Band — allows customizing line style, color, and RSI upper bound value.
Lower Band — allows you to customize line style, color, and RSI lower bound value.
Background — background color setting within the RSI upper and lower borders.
Precision — number of decimals for RSI values.
Note! Try RSI+MA on your demo account first before going live.
Strategy
Indicator
CT Reverse True Strength Indicator On ChartIntroducing the Caretakers “On Chart” Reverse True Strength Index.
According to Wikipedia….
“The True Strength Index (TSI) is a technical indicator used in the analysis of financial markets that attempts to show both trend direction and overbought/oversold conditions. It was first published William Blau in 1991.
The indicator uses moving averages of the underlying momentum of a financial instrument.
Momentum is considered a leading indicator of price movements, and a moving average characteristically lags behind price.
The TSI combines these characteristics to create an indication of price and direction more in sync with market turns than either momentum or moving average.”
The TSI has a normal range of values between +100 and -100.
Traditionally traders and analysts will consider:
Positives values above 25 to indicate an “overbought” condition
Negative values below -25 to indicate an “oversold” condition
I have reverse engineered the True Strength Index formula to derive 2 new functions.
1) The reverse TSI function is dual purpose which can be used to calculate….
The chart price at which the TSI will reach a particular TSI scale value.
The chart price at which the TSI will equal its previous value.
2) The reverse TSI signal cross function can be used to calculate the chart price at which the TSI will cross its signal line.
I have employed these functions here to return the price levels where the True Strength Index would equal :
Upper alert level ( default 25 )
Zero-Line
Lower alert level ( default -25 )
Previous TSI (eq) value
TSI signal line
In this “On Chart” version of the reverse True Strength Index the crossover levels are displayed both as lines on the chart and via an optional info-box with choice of user selected info.
Chart Line Colors
Upper alert level... ( Fuchsia )
Zero-Line............ ( White )
Lower alert level... ( Aqua )
TSI (eq)...............( TSI (eq) > close..Orange, TSI (eq) < close..Lime )
TSI signal line........( Signal Cross Line > Close..Aqua, Signal Cross Line < Close..Fuchsia )
How to interpret the displayed prices returned from the TSI scale zero line and upper and lower alert levels.
Closing exactly at the given price will cause the True Strength Index value to equal the scale value.
Closing above the given price will cause the True Strength Index to cross above the scale value.
Closing below the given price will cause the True Strength Index to cross below the scale value.
How to interpret the displayed price returned from the TSI (eq)
Closing exactly at the price will cause the True Strength Index value to equal the previous TSI value.
Closing above the price will cause the True Strength Index value to increase.
Closing below the price will cause the True Strength Index value to decrease.
How to interpret the displayed price returned from the TSI signal line crossover.
Closing exactly at the given price will cause the True Strength Index value to equal the signal line.
Closing above the given price will cause the True Strength Index to cross above the signal line.
Closing below the given price will cause the True Strength Index to cross below the signal line.
Common methods to derive signals from the TSI :
Zero-line crossovers
When the CMO crosses above the zero-line, a buy signal is generated.
When the CMO crosses below the zero-line, a sell signal is generated.
“Overbought” and “Oversold” crossovers
When the SMI crosses below -25 and then moves back above it, a buy signal is generated.
When the SMI crosses above +25 and then moves back below it, a sell signal is generated.
What Does the True Strength Index (TSI) Tell You?
The indicator is primarily used to identify overbought and oversold conditions in an asset's price, spot divergence, identify trend direction and changes via the zero-line, and highlight short-term price momentum with signal line crossovers.
Since the TSI is based on price movements, oversold and overbought levels will vary by the asset being traded. Some stocks may reach +30 and -30 before tending to see price reversals, while another stock may reverse near +20 and -20.
Mark extreme TSI levels, on the asset being traded, to see where overbought and oversold is. Being oversold doesn't necessarily mean it is time to buy, and when an asset is overbought it doesn't necessarily mean it is time to sell. Traders will typically watch for other signals to trigger a trade decision. For example, they may wait for the price or TSI to start dropping before selling in overbought territory. Alternatively, they may wait for a signal line crossover.
Signal Line Crossovers
The true strength index has a signal line, which is usually a seven- to 13-period EMA of the TSI line. A signal line crossover occurs when the TSI line crosses the signal line. When the TSI crosses above the signal line from below, that may warrant a long position. When the TSI crosses below the signal line from above, that may warrant selling or short selling.
Signal line crossovers occur frequently, so should be utilized only in conjunction with other signals from the TSI. For example, buy signals may be favoured when the TSI is above the zero-line. Or sell signals may be favoured when the TSI is in overbought territory.
Zero-line Crossovers
The zero-line crossover is another signal the TSI generates. Price momentum is positive when the indicator is above zero and negative when it is below zero. Some traders use the zero-line for a directional bias. For example, a trader may decide only to enter a long position if the indicator is above its zero-line. Conversely, the trader would be bearish and only consider short positions if the indicator's value is below zero.
Breakouts and Divergence
Traders can use support and resistance levels created by the true strength index to identify breakouts and price momentum shifts. For instance, if the indicator breaks below a trendline, the price may see continued selling.
Divergence is another tool the TSI provides. If the price of an asset is moving higher, while the TSI is dropping, that is called bearish divergence and could result in a downside price move. If the TSI is rising while the price is falling, that could signal higher prices to come. This is called bullish divergence.
Divergence is a poor timing signal, so it should only be used in conjunction with other signals generated by the TSI or other technical indicators.
The Difference Between the True Strength Index (TSI) and the Moving Average Convergence Divergence (MACD) Indicator.
The TSI is smoothing price changes to create a technical oscillator. The moving average convergence divergence (MACD) indicator is measuring the separation between two moving averages. Both indicators are used in similar ways for trading purposes, yet they are not calculated the same and will provide different signals at different times.
The Limitations of Using the True Strength Index (TSI)
Many of the signals provided by the TSI will be false signals. That means the price action will be different than expected following a trade signal. For example, during an uptrend, the TSI may cross below the zero-line several times, but then the price proceeds higher even though the TSI indicates momentum has shifted down.
Signal line crossovers also occur so frequently that they may not provide a lot of trading benefit. Such signals need to be heavily filtered based on other elements of the indicator or through other forms of analysis. The TSI will also sometimes change direction without price changing direction, resulting in trade signals that look good on the TSI but continue to lose money based on price.
Divergence also tends to unreliable on the indicator. Divergence can last so long that it provides little insight into when a reversal will actually occur. Also, divergence isn't always present when price reversals actually do occur.
The TSI should only be used in conjunction with other forms of analysis, such as price action analysis and other technical indicators.
This is not financial advice, use at your own risk.
Indicator
CT Reverse True Strength IndicatorIntroducing the Caretakers Reverse True Strength Index.
According to Wikipedia….
“The True Strength Index (TSI) is a technical indicator used in the analysis of financial markets that attempts to show both trend direction and overbought/oversold conditions. It was first published William Blau in 1991.
The indicator uses moving averages of the underlying momentum of a financial instrument.
Momentum is considered a leading indicator of price movements, and a moving average characteristically lags behind price.
The TSI combines these characteristics to create an indication of price and direction more in sync with market turns than either momentum or moving average.”
The TSI has a normal range of values between +100 and -100.
Traditionally traders and analysts will consider:
Positives values above 25 to indicate an “overbought” condition
Negative values below -25 to indicate an “oversold” condition
I have reverse engineered the True Strength Index formula to derive 2 new functions.
The reverse TSI function is dual purpose which can be used to calculate….
The chart price at which the TSI will reach a particular TSI scale value.
The chart price at which the TSI will equal its previous value.
The reverse TSI signal cross function can be used to calculate the chart price at which the TSI will cross its signal line.
I have employed these functions here to return the price levels where the True Strength Index would equal :
Upper alert level ( default 25 )
Zero-Line
Lower alert level ( default -25 )
Previous TSI (eq) value.
TSI signal line
These crossover levels are displayed via an optional info-box with choice of user selected info.
How to interpret the displayed prices returned from the TSI scale zero line and upper and lower alert levels.
Closing exactly at the given price will cause the True Strength Index value to equal the scale value.
Closing above the given price will cause the True Strength Index to cross above the scale value.
Closing below the given price will cause the True Strength Index to cross below the scale value.
How to interpret the displayed price returned from the TSI (eq)
Closing exactly at the price will cause the True Strength Index value to equal the previous TSI value.
Closing above the price will cause the True Strength Index value to increase.
Closing below the price will cause the True Strength Index value to decrease.
How to interpret the displayed price returned from the TSI signal line crossover.
Closing exactly at the given price will cause the True Strength Index value to equal the signal line.
Closing above the given price will cause the True Strength Index to cross above the signal line.
Closing below the given price will cause the True Strength Index to cross below the signal line.
Common methods to derive signals from the TSI :
Zero-line crossovers
When the CMO crosses above the zero-line, a buy signal is generated.
When the CMO crosses below the zero-line, a sell signal is generated.
“Overbought” and “Oversold” crossover
When the SMI crosses below -25 and then moves back above it, a buy signal is generated.
When the SMI crosses above +25 and then moves back below it, a sell signal is generated.
What Does the True Strength Index (TSI) Tell You?
The indicator is primarily used to identify overbought and oversold conditions in an asset's price, spot divergence, identify trend direction and changes via the zero-line, and highlight short-term price momentum with signal line crossovers.
Since the TSI is based on price movements, oversold and overbought levels will vary by the asset being traded. Some stocks may reach +30 and -30 before tending to see price reversals, while another stock may reverse near +20 and -20.
Mark extreme TSI levels, on the asset being traded, to see where overbought and oversold is. Being oversold doesn't necessarily mean it is time to buy, and when an asset is overbought it doesn't necessarily mean it is time to sell. Traders will typically watch for other signals to trigger a trade decision. For example, they may wait for the price or TSI to start dropping before selling in overbought territory. Alternatively, they may wait for a signal line crossover.
Signal Line Crossovers
The true strength index has a signal line, which is usually a seven- to 13-period EMA of the TSI line. A signal line crossover occurs when the TSI line crosses the signal line. When the TSI crosses above the signal line from below, that may warrant a long position. When the TSI crosses below the signal line from above, that may warrant selling or short selling.
Signal line crossovers occur frequently, so should be utilized only in conjunction with other signals from the TSI. For example, buy signals may be favoured when the TSI is above the zero-line. Or sell signals may be favoured when the TSI is in overbought territory.
Zero-line Crossovers
The zero-line crossover is another signal the TSI generates. Price momentum is positive when the indicator is above zero and negative when it is below zero. Some traders use the zero-line for a directional bias. For example, a trader may decide only to enter a long position if the indicator is above its zero-line. Conversely, the trader would be bearish and only consider short positions if the indicator's value is below zero.
Breakouts and Divergence
Traders can use support and resistance levels created by the true strength index to identify breakouts and price momentum shifts. For instance, if the indicator breaks below a trendline, the price may see continued selling.
Divergence is another tool the TSI provides. If the price of an asset is moving higher, while the TSI is dropping, that is called bearish divergence and could result in a downside price move. If the TSI is rising while the price is falling, that could signal higher prices to come. This is called bullish divergence.
Divergence is a poor timing signal, so it should only be used in conjunction with other signals generated by the TSI or other technical indicators.
The Difference Between the True Strength Index (TSI) and the Moving Average Convergence Divergence (MACD) Indicator.
The TSI is smoothing price changes to create a technical oscillator. The moving average convergence divergence (MACD) indicator is measuring the separation between two moving averages. Both indicators are used in similar ways for trading purposes, yet they are not calculated the same and will provide different signals at different times.
The Limitations of Using the True Strength Index (TSI)
Many of the signals provided by the TSI will be false signals. That means the price action will be different than expected following a trade signal. For example, during an uptrend, the TSI may cross below the zero-line several times, but then the price proceeds higher even though the TSI indicates momentum has shifted down.
Signal line crossovers also occur so frequently that they may not provide a lot of trading benefit. Such signals need to be heavily filtered based on other elements of the indicator or through other forms of analysis. The TSI will also sometimes change direction without price changing direction, resulting in trade signals that look good on the TSI but continue to lose money based on price.
Divergence also tends to unreliable on the indicator. Divergence can last so long that it provides little insight into when a reversal will actually occur. Also, divergence isn't always present when price reversals actually do occur.
The TSI should only be used in conjunction with other forms of analysis, such as price action analysis and other technical indicators.
This is not financial advice, use at your own risk. Indicator
CT Reverse Chande Momentum OscillatorIntroducing the Caretakers Reverse Chande Momentum Oscillator.
The Chande momentum oscillator is a technical momentum indicator which calculates the difference between the sum of recent gains and the sum of recent losses and then divides the result by the sum of all price movement over the same period.
It is used to gauge “pure momentum”.
It bears similarities to other momentum indicators such as the Stochastic, Rate of Change and the Relative Strength Index, but other unique features render it a handy tool in the traders handset.
The CMO was developed by Tushar Chande.
The author introduced the indicator in his 1994 book “The New Technical Trader “.
The CMO has a normal range of values between +100 and -100.
I have reverse engineered the CMO formula to derive a dual purpose function.
The function can calculate the chart price at which the CMO will reach a particular CMO scale value.
The function can also calculate the chart price at which the CMO will equal its previous value.
I have employed this function here to give the price level where the CMO will equal :
Upper alert level ( default 50 )
Zero-Line
Lower alert level ( default -50 )
Previous CMO value
These crossover levels are displayed via an optional infobox with choice of user selected info.
The advantage of knowing the exact prices that this will happen should give the user an additional edge and precision in risk management.
Traditionally traders and analysts will consider:
Positives values above 50 indicate an “overbought” condition
Negative values below -50 indicate an “oversold” condition
Common traditional ways to derive signals from the CMO :
When the CMO crosses above the zeroline, a buy signal is generated.
When the CMO crosses below the zeroline, a sell signal is generated.
When the SMI crosses below -50 and then moves back above it, a buy signal is generated.
When the SMI crosses above +50 and then moves back below it, a sell signal is generated.
Traditionally, traders also look for divergences between the CMO and price action.
Chande Momentum oscillating in a narrower band around the zero line, with no penetration of the Overbought and Oversold levels indicates a ranging market.
This should not be confused with Chande Momentum oscillating between either the Overbought and the zero line, or the Oversold level and the zero line, which indicates a strong up, or down-trend.
It is traditionally considered that the strongest trend signals are from failed swing patterns.
It measures momentum on both up and down days and does not smooth results, triggering more frequent oversold and overbought penetrations.
The CMO is often used to determine overall market trendiness in conjunction with the SMI where the SMI is used to determine the direction of the trend, and also with volume indicators to show if the momentum carries significant selling or buying pressure.
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