Bonds Don’t Lie: The Signal is ClearU.S. 10-year Treasuries are a crucial cog in the global financial machine, serving as a benchmark borrowing rate, a tool for asset valuation, and a gauge of the longer-term outlook for U.S. economic growth and inflation.
As such, I keep a close eye on 10-year note futures, as they can offer clues on directional risks for bond prices and yields. The price action over the past few days has sent a clear and obvious signal as to where the risks lie: prices higher, yields lower.
Futures had been grinding lower within a falling wedge for several weeks but broke higher last Friday on decent volumes following soft U.S. household spending data. It has since extended bullish the move, reclaiming the 200-day moving average before surging above key resistance at 115’09’0 after Trump’s reciprocal tariff announcement on Wednesday.
RSI (14) is trending higher but isn’t yet overbought, while MACD has crossed the signal line above 0, confirming the bullish momentum signal. That favours further upside, putting resistance at 116’11’0 and 118’12’0 on the immediate radar. For those who prefer it expressed in yield terms, that’s around 4% and 3.8% respectively.
Good luck!
DS
M-oscillator
How to Set Multiple TPs...for BeginnersHey Rich Friends,
I wanted to share how I find multiple TPs for my Forex trades using free tools and only 1 technical indicator. This strategy is perfect for beginners because it is easy to follow and has clear confirmations for entering and exiting a trade in profit, even if it hits your Stop Loss.
I keep my charts clean and let price action do the talking. Here's my setup:
✅ Session Breaks & Horizontal Lines – I mark the previous day’s highs, lows, and key levels to identify potential areas of interest.
✅ Stochastic for Entries & Exits – I use the Stochastic indicator to time my trades when the price reacts at my key levels (80 and 20 are very important here!)
✅ Horizontal Lines = Potential TPs – Instead of setting a take profit, I let the market tell me when to exit based on price action around these levels.
Less noise, more precision. Drop a "7" if you made it to the end of the video and let me know if it was helpful!
Peace and Profits,
Cha
Use RSI Like a GoldmanYou might be wondering, do the traders at Goldman Sachs use the Relative Strength Index (RSI)? The answer is, perhaps they do, and perhaps they don’t. However, based on my experience, I can confidently say that even the most seasoned and professional traders rely on RSI from time to time.
While it may not be their sole tool for decision-making, it’s often included in their broader strategy due to its effectiveness in identifying overbought or oversold conditions in the market. RSI is one of many technical indicators that can serve as a helpful signal in navigating market trends, and even the best traders find it useful on occasion.
When trading with technical indicators like the Relative Strength Index (RSI), having a clear and structured approach is crucial to maximizing its effectiveness. While RSI can be a powerful tool for identifying potential trend reversals, it’s essential to understand the right conditions and context in which to use it.
Below are some key principles and guidelines that can help you apply RSI more effectively in your trading strategy. Whether you’re a swing trader or a day trader, these tips can help you avoid common pitfalls and make more informed decisions in the market.
⚙️ Keep Settings Simple
Keep the RSI settings minimal to avoid confusion. Stick to the standard 14-period lookback, which is widely used and reliable for most market conditions.
📉📈 Ensure Divergence Occurs Outside of Key Levels
Divergence should only be considered when the RSI reaches extreme levels, typically above 70 (overbought) or below 30 (oversold). This helps to identify potential trend reversals. Divergence at neutral levels (like between 40–60) may not be as effective.
🔥 Base Divergence on Candle Closes, Not Wicks
Always look for divergence based on the closing price of candles. Divergence created by wick movements is unreliable and can lead to false signals. Stick to the body of the candle to ensure accuracy.
⏳ Watch the Lookback Period
The RSI’s default lookback period is 14, and divergence with a gap of more than 14 candles is generally less reliable. Wider gaps often signal weak price momentum and a higher chance of failure, so focus on shorter, more recent divergences for better results.
💧 Liquidity Must Be Taken Before Entering Trades
Liquidity is essential when confirming trade setups:
The first high or low should take out liquidity from higher time frames (such as range highs and lows).
The subsequent highs or lows should take out local liquidity, which can be identified by overbought or oversold RSI conditions. Ensure there’s a clear market structure shift before entering trades.
⏰ Timeframe Considerations for Different Trade Types
For swing trades, focus on longer timeframes like the 4-hour chart to capture larger market moves and trends.
For day trades, the 15-minute timeframe is ideal for capturing short-term price action and finer market details.
🔄 Use Divergences for Trend Reversals, in Confluence with Other Analysis
RSI divergence is best used to identify potential trend reversals. However, it should not be used in isolation. Always look for confluence with other technical analysis methods (such as support/resistance levels, moving averages, or candlestick patterns) to increase the reliability of the signal. Combining multiple tools enhances the accuracy of your trade setups.
Stay sharp, stay ahead, and let’s make those moves. Until next time, happy trading!
Can we enhance the most popular Indicator on TradingView?I describe my implementation of the TTM Squeeze indicator, first coded by Lazybear and that became the most popular indicator on TradingView.
There's gotta be a reason for that to be the most popular, right? I wanted to find out and make it much easier to navigate as well as adding to it with my own touch.
Hope you enjoy it.
Divergence Trading Explained For Beginners -DAX Pullback TradeTrading divergence in the Forex or Stock market can be an important tool. Learn how to identify divergences & practically apply them to your technical analysis to increase your edge & profits in the financial markets.
In this video you'll learn
What is a bullish and bearish divergence
How to use divergence to spot potential reversals in the market
How to use volume to identify key levels of reversals
How to measure out a "Kill Zone"
What are tweezer tops & tweezer bottoms & why they are important
How to use the Fibonacci retracement tool
How to use the Relative Strength Index (RSI Indicator)
Your Trading Coach - Akil
Understanding RSI In TradingThis article takes a deep dive into the Relative Strength Index (RSI), a powerful tool for traders at any level. We’ll break down how RSI works, how to interpret it, and how to use it effectively in your trading strategies. Plus, we’ll touch on the math behind it. Whether you’re a seasoned pro or just getting started, this guide will give you the insights you need to make RSI a valuable part of your trading toolkit.
Understanding Oscillators in Trading
An oscillator is a technical indicator that moves between two extremes, usually ranging from 0 to 100. Traders use oscillators to spot overbought and oversold conditions in the market. An overbought signal suggests that excessive buying has driven prices too high and may not be sustainable, while an oversold signal indicates the opposite—excessive selling that could lead to a potential rebound. By tracking these price oscillations, traders can anticipate trend reversals and make more informed decisions.
Key Functions of Oscillators:
Momentum Analysis: Oscillators gauge the speed and strength of price movements, offering insights into an asset’s momentum.
Volatility Detection: They help identify periods of high or low volatility, enabling traders to adjust their strategies accordingly.
Trend Confirmation: When combined with other technical indicators, oscillators can validate or reveal emerging trends in the market.
Introduction to the RSI Indicator
The Relative Strength Index (RSI) is a momentum-based technical indicator used to assess the strength of recent price movements and identify overbought or oversold conditions in an asset. It helps traders spot potential trend reversals by oscillating between 0 and 100. An RSI above 70 suggests the asset may be overbought, while a reading below 30 indicates it may be oversold.
By the end of this, you'll be an RSI expert!
Interpreting RSI Readings
RSI values above 70 suggest that an asset is overbought, meaning it has likely experienced a sharp price increase and may be due for a correction. On the other hand, RSI values below 30 indicate that the asset is oversold, implying a steep price drop and the possibility of a rebound.
However, it's important to remember that RSI isn't foolproof and can occasionally give false signals. To increase accuracy, it's best to use RSI in combination with other technical indicators and fundamental analysis.
Overbought: An RSI reading above 70 signals that the asset may be overbought and due for a correction. This could present a potential selling opportunity, but traders should be cautious, as false signals can occur.
Oversold: An RSI reading below 30 indicates that the asset may be oversold and due for a rebound. This can signal a potential buying opportunity, but again, traders should be cautious of possible false signals.
Divergence: Divergence happens when the RSI moves in the opposite direction of the price. For instance, if the price makes new highs while the RSI forms lower highs, this could point to a potential trend reversal.
Support and Resistance: The RSI can also help identify support and resistance levels. If the RSI consistently bounces off the 30 level, it may indicate a support level. Conversely, if the RSI repeatedly fails to break through the 70 level, this could signal a resistance level.
RSI and Divergence
Divergence happens when the RSI moves in the opposite direction of the asset's price, often signaling a potential trend reversal. For example, if the price is hitting new highs but the RSI forms lower highs, it could indicate a bearish divergence, suggesting a possible sell signal.
A common example of bearish divergence is when the price of an asset makes higher highs, but the RSI forms lower highs. This suggests weakening buying momentum, even as the price continues to rise. It can be a sign that the uptrend may be losing steam, with a reversal to the downside potentially on the horizon.
On the other hand, bullish divergence occurs when the price is making lower lows, but the RSI is making higher lows. This indicates that selling pressure is subsiding, and the asset may be primed for a rebound to the upside. Traders can use this pattern to time their entries for long positions.
RSI divergence can help traders identify overbought or oversold conditions, enabling them to make more effective decisions about entry and exit points. However, divergence should always be used alongside other technical and fundamental analysis for confirmation before acting on the signal.
Calculating the RSI Indicator
Calculating the RSI is straightforward once you break it down. The goal is to determine the average gains and losses over a set period, typically 14 days. This helps assess the strength of price movements and identify overbought or oversold conditions. While the math may sound complex, understanding the formula is key to using the tool effectively.
The RSI formula is:
RSI = 100 - (100 / (1 + (Average Gains / Average Losses)))
This calculation provides valuable insights into the relative strength of an asset’s price movements.
Factors Affecting the RSI Calculation
The RSI calculation can be influenced by several factors, with the length of the time period being the most significant. A shorter period (e.g., 5 days) results in a more volatile RSI that responds quickly to price changes, while a longer period (e.g., 20 days) creates a smoother RSI, filtering out short-term fluctuations. The ideal time period depends on your trading style and the volatility of the market you're analyzing.
Why the RSI Indicator is Powerful
Identifies Overbought and Oversold Conditions: The RSI helps traders recognize when an asset is overbought or oversold, allowing them to time their entries and exits more effectively.
Detects Divergences: Divergences between the RSI and price can signal potential trend reversals, giving traders an early warning to adjust their positions accordingly.
Flexible and Customizable: Traders can adjust the RSI’s period to match their trading style and the specific market conditions, making it a highly versatile tool for technical analysis.
Widely Adopted and Well-Understood: The RSI is one of the most popular technical indicators, with a wealth of resources and analysis available to assist traders in interpreting its signals.
Practical Application in Real Life
Here are a few effective strategies where RSI can be combined with other technical indicators for a more comprehensive analysis:
Example 1: RSI + Support/Resistance + Moving Averages
Scenario:
You are analyzing a stock that has been in an uptrend, with the price currently approaching a key resistance level at $100. The 50-period moving average is also trending upwards, confirming the bullish trend.
The RSI is at 75, indicating an overbought condition.
As the price nears the resistance level, the RSI starts to flatten, suggesting the upward momentum might be weakening.
You wait for the price to fail to break above the $100 resistance level and the RSI to drop below 70, signaling a potential reversal. This provides a clearer sell signal, as both the price and RSI align with the idea that a correction could be coming.
Why this works:
By using both RSI and moving averages with support and resistance, you have a solid confirmation of the potential reversal, as it combines trend analysis with overbought conditions.
Example 2: RSI + SFP (Swing Failure Pattern) + Price Action
Scenario:
You’re monitoring a currency pair that recently made a new low, breaking through a previous swing low at 1.1500. However, the price quickly reverses and fails to sustain the breakdown, bouncing back above the previous low, forming an SFP.
At the same time, the RSI is below 30, but it starts to turn upward, forming a bullish divergence (higher lows on the RSI while the price makes lower lows).
This divergence and the SFP setup suggest that the selling pressure is decreasing, and a potential reversal to the upside could be imminent.
Why this works:
The Swing Failure Pattern highlights the false breakdown, and the RSI divergence confirms that momentum is shifting. This combination increases the likelihood of a successful trade when entering on the potential reversal.
Key Takeways
The RSI is an essential tool for traders looking to spot overbought or oversold conditions and potential trend reversals. By mastering how to interpret RSI readings and incorporating them into your strategies, you can improve your decision-making and potentially boost your trading results. For a more balanced approach, always use RSI alongside other technical indicators and fundamental analysis.
what is the most effective indicator?There isn’t a single "most effective" trading indicator that works for everyone, as effectiveness depends on your trading style, strategy, and the market conditions. However, some indicators are considered more versatile or reliable when used correctly. Here's a breakdown to help you choose:
Most Effective for Trends:
Moving Averages (EMA or SMA):
Simple and effective for identifying trends.
Works well in trending markets but less reliable in sideways or choppy markets.
Pro Tip: Combine short-term and long-term moving averages for crossovers.
Ichimoku Cloud:
A comprehensive indicator that provides trend direction, support/resistance, and momentum.
Effective but requires practice to interpret correctly.
Most Effective for Overbought/Oversold Levels:
Relative Strength Index (RSI):
One of the most popular and effective indicators for spotting overbought or oversold conditions.
Works well in both trending and range-bound markets when combined with other tools.
Stochastic Oscillator:
Similar to RSI but includes %K and %D lines for crossovers.
Effective for momentum confirmation.
Most Effective for Volatility:
Bollinger Bands:
Great for identifying periods of high or low volatility and potential breakout zones.
Useful for sideways (range-bound) markets and trend reversals.
Average True Range (ATR):
Excellent for setting stop-loss levels and identifying market volatility trends.
Works well in conjunction with trend indicators.
Most Effective for Momentum:
Moving Average Convergence Divergence (MACD):
Ideal for spotting trend reversals and momentum shifts.
Effective when used with a confirmation indicator like RSI.
Parabolic SAR:
Simple for identifying trend direction and potential exit points.
Works best in trending markets.
Combination for Higher Effectiveness:
Trend + Momentum: Combine EMA with MACD to identify trends and entry/exit points.
Overbought/Oversold + Volume: Use RSI with Volume Indicators (e.g., OBV) to confirm breakouts or reversals.
Volatility + Trend: Use Bollinger Bands with Ichimoku Cloud to spot breakout opportunities with clear trend guidance.
combined guide for both the **Regime Classifier** and **kNN Here’s the combined guide for both the **Regime Classifier** and **kNN (k-Nearest Neighbors)** indicators with emojis, tailored for your TradingView chart description:
---
### **🔑 Individual Lesson Steps**
#### **Lesson 1: What is a Regime Classifier?**
👽 **Defining Market Regimes**
- A **market regime** refers to distinct market conditions based on price behavior and volatility.
- **Types of Market Regimes:**
- 🚀 **Advance** (Uptrend)
- 📉 **Decline** (Downtrend)
- 🔄 **Accumulation** (Consolidation)
- ⬆️⬇️ **Distribution** (Topping/Bottoming Patterns)
👾 **Why it Matters:**
- Identifying market regimes helps traders tailor their strategies, manage risk, and make more accurate decisions.
---
#### **Lesson 2: Anatomy of the Regime Classifier Indicator**
👽 **Core Components**
- **Median Filtering:** Smooths out price data to capture significant trends.
- **Clustering Model:** Classifies price trends and volatility into distinct regimes.
- **Volatility Analysis:** Analyzes price volatility with rolling windows to detect high and low volatility phases.
👾 **Advanced Features:**
- **Dynamic Cycle Oscillator (DCO):** Tracks price momentum and cyclic behavior.
- **Regime Visualization:** Color-coded display of market conditions to make trends and patterns clearer.
---
#### **Lesson 3: Configuring the Regime Classifier Indicator**
👽 **Customization Settings**
- **Filter Window Size:** Adjusts sensitivity for detecting trends.
- **ATR Lookback Period:** Determines how far back the volatility is calculated.
- **Clustering Window & Refit Interval:** Fine-tunes how the indicator adapts to new market conditions.
- **Dynamic Cycle Oscillator Settings:** Tailors lookback periods and smoothing factors.
👾 **Why It’s Useful:**
- Customizing these settings helps traders optimize the indicator for different trading styles (e.g., scalping, swing trading, long-term investing).
---
#### **Lesson 4: Using the Indicator for Regime-Based Trading Strategies**
👽 **Adapt Strategies Based on Regimes**
- **Advance Regime:** Focus on long positions and trend-following strategies.
- **Decline Regime:** Prioritize short positions or hedging strategies.
- **Accumulation Regime:** Watch for breakout opportunities.
- **Distribution Regime:** Look for trend reversals or fading trends.
👾 **Using the Dynamic Cycle Oscillator for Confirmation:**
- 🌡️ **Overbought/Oversold Conditions:** Identify potential reversals.
- 🔄 **Trend Momentum:** Confirm if the trend is gaining or losing strength.
---
#### **Lesson 5: Combining Volatility and Price Trends for High-Confidence Trades**
👽 **Interpreting Volatility Clusters**
- 🔥 **High Volatility:** Indicates caution, risk management, or hedging opportunities.
- 🌿 **Low Volatility:** Suggests consolidation or trend continuation.
👾 **How Volatility Clusters Interact with Price Trends:**
- Combine trend direction with volatility analysis to refine trade entries and exits for more precise decisions.
---
#### **Lesson 6: Backtesting and Live Application**
👽 **Validate Using Historical Data**
- Guide traders on **backtesting** strategies using historical data to see how the indicator would have performed.
👾 **Real-Time Application:**
- Implement the Regime Classifier in **live markets** to monitor ongoing price conditions and gain actionable insights.
---
### **🔑 kNN (k-Nearest Neighbors) Indicator Lesson Steps**
#### **Lesson 1: What is kNN?**
👽 **Defining kNN**
- **k-Nearest Neighbors** is a machine learning algorithm that makes predictions based on the proximity of data points.
- It identifies the nearest neighbors of a data point and classifies it according to the majority class of those neighbors.
👾 **Why it Matters:**
- **kNN** helps traders forecast price movement, trends, and potential reversals by analyzing historical data.
---
#### **Lesson 2: Anatomy of the kNN Indicator**
👽 **Core Components**
- **Training Data:** Historical price data used to identify the neighbors of a point.
- **Distance Metric:** Determines the closeness of data points (e.g., Euclidean distance).
- **k Parameter:** The number of nearest neighbors to consider for predictions.
👾 **Advanced Features:**
- **Distance Calculation:** Helps assess how similar current price movement is to historical patterns.
- **Prediction:** The majority of the nearest neighbors determines the expected price movement (up or down).
---
#### **Lesson 3: Configuring the kNN Indicator**
👽 **Customization Settings**
- **k (Number of Neighbors):** Adjust to control how many historical data points influence predictions.
- **Distance Metric:** Choose from Euclidean, Manhattan, or other metrics based on data characteristics.
- **Window Size:** Defines how many data points (e.g., time periods) are used for analysis.
👾 **Why It’s Useful:**
- Tuning these settings allows traders to adjust the sensitivity and precision of predictions, optimizing for various trading styles.
---
#### **Lesson 4: Using the kNN Indicator for Predictive Trading Strategies**
👽 **Predicting Price Movements**
- Use **kNN** to identify trend directions and price reversals based on historical proximity.
- **Uptrend Prediction:** Identify moments where the nearest neighbors suggest a continuation of the trend.
- **Downtrend Prediction:** Signal when the majority of neighbors point toward price decline.
👾 **Using Predictions to Enhance Trade Entries:**
- Use **kNN** signals in conjunction with **Regime Classifier** regimes to validate and enhance entry and exit points.
---
#### **Lesson 5: Combining kNN Predictions with Regime Classifier for Precision**
👽 **Refining Trade Confidence**
- Cross-reference **kNN predictions** (uptrend/downtrend) with **Regime Classifier’s** regime identification for higher precision trades.
- **Example:** If **kNN** predicts an uptrend and the **Regime Classifier** signals an **Advance** regime, you can confidently go long.
---
#### **Lesson 6: Backtesting and Live Application**
👽 **Validate Predictions with Historical Data**
- Backtest using **kNN** on past price data to measure accuracy in predicting trends and reversals.
- **Real-Time Application:** Implement **kNN** in live markets alongside **Regime Classifier** for comprehensive decision-making.
---
### **🔄 Combined Lessons for Advanced Mastery**
#### **Combo 1: Regime Identification and kNN Predictions for Strategy Optimization**
💡 **Objective:** Combine market regime identification with kNN predictions to refine trading strategies.
- Merge **Lesson 1 (Understanding Regimes)** and **Lesson 1 (What is kNN?)**.
- **Practical Exercise:** Use both indicators to identify regimes and predict price trends in live charts.
---
#### **Combo 2: Customization, Practical Usage, and Enhanced Predictions**
💡 **Objective:** Equip traders to fine-tune both indicators for their unique strategies.
- Merge **Lesson 3 (Settings Configuration for Regime Classifier)** and **Lesson 3 (kNN Indicator Configuration)**.
- Walkthrough: Customize settings and combine both indicators to predict price trends and adjust strategies accordingly.
---
#### **Combo 3: Comprehensive Trading Strategy with Regime Classifier and kNN**
💡 **Objective:** Build a full-fledged trading system using both indicators for market regime analysis and predictive signals.
- Combine **all lessons** for a complete, systematic trading approach:
- 🔍 **Identify market regimes**
- 🔄 **Use kNN predictions** to assess potential price movements
- 📈 **Combine with Dynamic Cycle Oscillator** for entry/exit timing
- 💥 **Execute trades** with a comprehensive strategy
---
These lessons and combos provide traders with the essential tools to master both the **Regime Classifier** and **k-Nearest Neighbors** indicators, from understanding the fundamentals to implementing advanced strategies and refining predictions for more accurate market analysis.
Moving Average Convergence Divergence MACD A Comprehensive GuideMastering the Moving Average Convergence Divergence (MACD): A Comprehensive Guide
Understanding the Moving Average Convergence Divergence (MACD): A Beginner’s Guide
The Moving Average Convergence Divergence (MACD) is a popular and powerful momentum and trend-following indicator used by traders across various markets. Developed by Gerald Appel in the late 1970s, MACD helps traders identify potential trend reversals, momentum strength, and buy or sell signals.
What is MACD?
MACD is based on the relationship between two moving averages of an asset’s price. It consists of three main components:
MACD Line:
Calculated as the difference between the 12-period Exponential Moving Average (EMA) and the 26-period EMA.
Signal Line:
A 9-period EMA of the MACD Line.
Serves as a trigger for buy or sell signals.
Histogram:
The difference between the MACD Line and the Signal Line.
Visual representation of momentum changes.
How to Interpret MACD
Crossovers:
Bullish Crossover: When the MACD Line crosses above the Signal Line, it signals upward momentum and is often interpreted as a buy signal.
Bearish Crossover: When the MACD Line crosses below the Signal Line, it indicates downward momentum and is often seen as a sell signal.
Centerline Crossovers:
When the MACD Line crosses above the zero line, it indicates bullish momentum.
When the MACD Line crosses below the zero line, it signals bearish momentum.
Divergence:
Bullish Divergence: Occurs when the price makes lower lows, but the MACD makes higher lows. This can indicate a potential upward reversal.
Bearish Divergence: Occurs when the price makes higher highs, but the MACD makes lower highs. This can suggest a potential downward reversal.
Strengths of MACD
Versatile: Combines trend-following and momentum analysis.
Easy to Use: Simple to interpret for traders of all skill levels.
Effective in Trending Markets: Provides clear signals during strong trends.
Limitations of MACD
Lagging Indicator: Since it relies on moving averages, MACD may provide signals after a trend has already started.
False Signals: In sideways or choppy markets, MACD can produce misleading crossovers.
Best Practices for Using MACD
Combine with Other Indicators:
Use MACD with support and resistance levels, RSI, or Bollinger Bands for confirmation of signals.
Combine it with volume analysis to validate momentum strength.
Adjust Periods for Your Strategy:
Shorten the EMA periods (e.g., 8, 18, and 6) for more responsive signals in fast-moving markets.
Lengthen the periods (e.g., 21, 50, and 9) for smoother signals in slower markets.
Understand Market Context:
Avoid relying solely on MACD in range-bound markets where false signals are more common.
Example of MACD in Action
Imagine a stock is in an uptrend, and the MACD Line crosses above the Signal Line while the histogram turns positive. This is a bullish signal suggesting that the upward momentum is strengthening. Conversely, if the MACD Line crosses below the Signal Line during a downtrend, it signals that bearish momentum may continue.
Conclusion
The MACD is a robust indicator that helps traders identify trends, momentum shifts, and potential buy/sell opportunities. While it’s easy to use, its effectiveness improves when combined with other technical tools and a solid understanding of market dynamics. As always, backtest your strategies and practice using the MACD on historical data before applying it to live trades.
The Relative Strength Index (RSI): A Beginner’s GuideThe Relative Strength Index (RSI) is one of the most widely used technical indicators in trading. Developed by J. Welles Wilder in 1978, it helps traders evaluate the momentum of a market and identify overbought or oversold conditions.
What is RSI?
RSI is an oscillator that measures the speed and magnitude of price changes over a specific period, typically 14 periods. It provides a value between 0 and 100, which helps traders gauge whether an asset is overbought or oversold.
Overbought: RSI above 70 suggests the asset might be overbought and due for a correction.
Oversold: RSI below 30 indicates the asset might be oversold and due for a rebound.
The RSI Formula
The RSI is calculated as:
Where:
RS= Average Gain of Up Periods (over the lookback period) / Average Loss of Down Periods (over the lookback period)
How to Interpret RSI
1. Overbought and Oversold Levels:
- When RSI crosses above 70, it may signal that the asset is overbought and could experience a price decline.
- When RSI drops below 30, it may indicate that the asset is oversold and could see a price increase.
2. Divergence:
- Bullish Divergence: When the price makes lower lows, but RSI makes higher lows, it suggests a potential upward reversal.
- Bearish Divergence: When the price makes higher highs, but RSI makes lower highs, it indicates a potential downward reversal.
3. Centerline Crossover:
- RSI crossing above 50 is often viewed as a bullish signal, indicating upward momentum.
- RSI crossing below 50 suggests bearish momentum.
Strengths of RSI
- Versatility: Works well in a variety of markets (stocks, forex, crypto, etc.) and timeframes.
- Simplicity: Easy to interpret for beginners.
- Divergences: Offers insight into potential trend reversals.
Limitations of RSI
- False Signals**: RSI can provide false overbought/oversold signals in strong trending markets.
- Lagging Indicator: Like most indicators, RSI relies on historical data, which may delay signals.
Best Practices for Using RSI
1. Combine with Other Indicators:
- Use RSI with trend-following indicators like Moving Averages or MACD to filter out false signals.
- Pair it with support and resistance levels to validate potential reversals.
2. Adjust the Period:
- Shorten the period (e.g., 7 or 9) for more sensitive signals.
- Lengthen the period (e.g., 20 or 30) for smoother, less frequent signals.
3. Context Matters:
- In a trending market, RSI may remain overbought or oversold for extended periods. Use it cautiously in such conditions.
Example of RSI in Action
Imagine a cryptocurrency like Bitcoin has been rallying for several days, and the RSI rises above 70. This suggests that Bitcoin might be overbought, and a pullback could occur soon. However, if the market trend is strong, Bitcoin’s RSI could stay above 70 for an extended period. Combining RSI with trend analysis or support/resistance levels can provide better insights.
Conclusion
The RSI is a powerful tool for traders seeking to understand market momentum and potential reversal points. While it’s simple to use, its effectiveness increases when combined with other indicators and market context. As always, practice using RSI on historical data before applying it to live trades, and remember that no single indicator guarantees success
Mastering RSI: The Complete and CORRECT Way to Trade ItThe Relative Strength Index (RSI) is one of the most popular and widely used indicators in trading.
Despite its prevalence, many traders misuse it or are unaware of its full potential. RSI isn't just about identifying overbought and oversold conditions; when applied correctly, it becomes a robust tool for trend confirmation, reversals, momentum acceleration, and much more.
This guide explores how to unlock the full power of RSI and avoid common pitfalls.
What Is RSI?
Developed by J. Welles Wilder Jr., RSI measures the speed and magnitude of price changes over a specified period. It oscillates between 0 and 100, with the following traditional zones:
Above 70: Indicates overbought conditions, where the price may reverse or consolidate.
Below 30: Indicates oversold conditions, where the price may rebound or reverse upward.
However, it’s important to note that RSI above 70 or below 30 can sometimes indicate trend acceleration rather than an immediate reversal—especially in strong trending markets, discussed in #6
The real reversal signal comes after RSI crosses back below 70 (for overbought) or back above 30 (for oversold). Understanding this distinction is critical to using RSI effectively.
1. Overbought and Oversold Conditions
The classic use of RSI involves identifying overbought and oversold levels:
Overbought: RSI rises above 70 and then drops back below it, signaling potential selling pressure.
Oversold: RSI falls below 30 and then moves back above it, indicating potential buying interest.
These signals are more effective when combined with tools like support/resistance levels or trendlines.
2. Centerline Crossover
The 50-level on RSI is a reliable trend indicator:
Above 50: Bullish momentum dominates.
Below 50: Bearish momentum dominates.
Use these crossovers to confirm trends:
Enter long trades when RSI is above 50.
Enter short trades when RSI is below 50.
3. Divergences
Divergences between RSI and price can signal potential trend reversals:
Bullish Divergence: Price makes lower lows, but RSI forms higher lows.
Bearish Divergence: Price makes higher highs, but RSI forms lower highs.
These divergences highlight weakening momentum and often precede reversals.
4. RSI Patterns
RSI can form recognizable chart patterns, such as triangles, head-and-shoulders, or double tops/bottoms. These patterns often precede price moves:
Triangles: A breakout on RSI often signals a strong price move.
Double Tops : A topping pattern on RSI warns of potential price declines.
5. Failure Swings
Failure swings occur when RSI enters an extreme zone (above 70 or below 30) but fails to sustain momentum and reverses. This is a strong reversal signal and can precede significant price moves:
Bullish Failure Swing:
RSI dips below 30.
It rises but dips again, staying above 30.
RSI breaks its previous high, signaling a bullish reversal.
Bearish Failure Swing:
RSI rises above 70.
It falls but rises again, staying below 70.
RSI breaks its previous low, signaling a bearish reversal.
How to trade it:
For a bullish failure swing, enter long when RSI confirms the higher low and breaks above the previous swing high.
For a bearish failure swing, enter short when RSI confirms the lower high and breaks below the previous swing low.
6. Momentum Acceleration Strategy
While RSI is traditionally used for spotting overbought and oversold conditions, it can also identify momentum acceleration during strong trends:
Above 70: In strong uptrends, when RSI rises above 70 and stays there, it signals upward acceleration, indicating buyers are in control.
Below 30: In strong downtrends, when RSI dips below 30 and stays there, it signals downward acceleration, with sellers driving the market lower.
How to trade it:
In uptrends, treat RSI staying above 70 as a sign of strength and look for pullbacks to enter long positions.
In downtrends, use brief rebounds as opportunities to short while RSI remains below 30.
7. Multi-Timeframe Strategy
Analyzing RSI across multiple timeframes enhances accuracy:
Use the higher timeframe (e.g., daily) to identify the overall trend.
Use the lower timeframe (e.g., 1-hour) to time trade entries.
Example:
If RSI on the daily chart is above 50 (bullish trend), look for hourly RSI dips below 30 to enter long trades.
If RSI on the daily chart is below 50 (bearish trend), wait for hourly RSI to reach overbought levels above 70 to short.
Tips for Advanced RSI Use:
Adjust RSI Settings: Shorter periods (e.g., 7) make RSI more sensitive, while longer periods (e.g., 21) smooth out signals for longer-term trends.
Combine RSI with Other Tools: Use RSI alongside moving averages, Fibonacci retracements, or Candlesticks.
Risk Management: Always pair RSI signals with a stop-loss strategy to manage risk effectively.
PRO TIP: As I like to say "Trade the price, not the indicator."
Use RSI as a confirmation tool, not the main signal.
For example, a price reversal from resistance or a bullish engulfing candle becomes far more reliable when backed by RSI signals.
Conclusion
RSI is far more versatile than many traders realize. While it’s traditionally used for identifying overbought and oversold levels, strategies like momentum acceleration and failure swings add depth to its utility. By combining RSI with centerline crossovers, divergences, multi-timeframe analysis, and chart patterns, traders can pinpoint entries, reversals, and momentum shifts with more precision and trade more confidently.
Key Takeaways:
- RSI staying above 70 or below 30 in trends signals momentum acceleration.
- Failure swings offer reliable reversal signals when RSI breaks key levels.
- Combining RSI strategies with other tools and proper risk management leads to more confidence
Raw VS Percentage Volatility FormatA Quantitative Comparison of "Buying & Selling Pressure" and "Average Bullish & Bearish Percentage Change"
In market analysis, the choice of averaging method can profoundly influence the insights derived. The "Buying & Selling Pressure " and "Average Bullish & Bearish Percentage Change" indicators demonstrate the unique strengths of fixed-period and candle-count-based averaging approaches.
Key Differences Between Fixed-Period and Candle-Count Averaging
Fixed-Period Averaging in BSP:
➡︎ In "Buying & Selling Pressure", candle metrics are averaged over a defined period (e.g., 14 bars).
➡︎ This provides rapid insights into market sentiment changes, making it ideal for tracking incentive shifts and volatility in real time.
➡︎ However, because this method includes all candles in the averaging window, it may reflect short-term fluctuations, offering less stability compared to candle-count-based methods.
Candle-Count Averaging in ABBPC:
➡︎ "Average Bullish & Bearish Percentage Change"uses a predefined count of bullish or bearish candles for averaging percentage changes.
➡︎ This produces stable and reliable values, which are less sensitive to noise and better suited for risk and reward assessment.
➡︎ The focus on specific candle states ensures that only relevant market behaviors contribute to the averages.
Using Percentage Change for Risk Definition
One of the greatest strengths of the "Average Bullish & Bearish Percentage Change" indicator is its ability to assist in risk and reward calculations with much more market related figures instead of raw values of volatility:
Defining Risk
The average percentage change of bearish candles can serve as a dynamic stop-loss level.
For example, if the average bearish percentage change over the last 10 candles is 2%, a trader can set a stop-loss at 2% below their entry to account for typical market behavior.
Quantifying Reward:
The average bullish percentage change helps identify realistic profit targets.
If the average bullish percentage change over the last 10 candles is 3%, a trader can set a target at 3% above their entry to maintain a favorable risk-to-reward ratio.
Dynamic Adjustments:
As the market evolves, these average percentage changes update, allowing traders to adjust their risk and reward levels in real time for better precision.
Quantitative Advantages of Percentage Change Averaging
Normalization Across Price Levels:
Percentage changes enable consistent comparison across assets with vastly different price ranges.
Enhanced Stability for Risk Assessment:
Candle-count averaging smooths out noise, offering a reliable basis for setting risk parameters like stop-losses and profit targets.
Improved Predictability:
By isolating specific candle behaviors, percentage-based metrics provide clearer signals for trend-following or mean-reversion strategies.
Advantages of BSP’s Fixed-Period Averaging
Despite being less stable, "Buying & Selling Pressure " excels in areas requiring speed and adaptability:
Fast Incentive Tracking:
Period-based averaging adapts quickly to changing market conditions, providing timely insights into shifts in buying or selling pressure.
Broad Volatility Capture:
BSP includes all candles in the defined period, capturing overall market dynamics, including sudden spikes or reversals.
Real-Time Decision Making:
Its responsiveness makes it highly suitable for momentum or breakout trading strategies.
Bottomline:
Use "Average Bullish & Bearish Percentage Change" for stable, consistent data ideal for risk assessment, particularly when defining dynamic stop-loss levels or profit targets based on average percentage changes.
Use "Buying & Selling Pressure " for its speed and adaptability in tracking real-time shifts in market incentives and capturing volatility.
Treasury yields at a crossroads? The implications for marketsThe long end of the US Treasury curve has been influential for FX markets recently. The rolling 10-day correlation between US 10-year yields with the DXY, EUR/USD, GBP/USD, and USD/JPY is either strongly positive or negative. Even gold shows a notable -0.73 correlation, highlighting the influence of long bonds on broader markets.
Given the inverse relationship between bond yields and prices, it’s no surprise that the correlation between 10-year yields and 10-year Treasury futures (shown in orange, left-hand pane) has been nearly perfectly negative over the past two weeks.
In terms of directional risks for yields moving forward, the right-hand pane showing US 10-year Treasury note futures is instructive. The price remains in a downtrend, repeatedly rejected since being established October. If this trend persists, it signals lower prices and higher yields.
That said, with the bullish hammer candle from the lows last week, coupled with RSI (14) and MACD which are providing bullish signals on momentum, you get the sense we may be in the early stages of a turning point.
If we were to see the price break the downtrend, resistance may be encountered at 113’00, a level that’s been tested from both sides in recent weeks. If that were to give way, it points to an environment of a softer US dollar and kinder conditions for longer duration assets and commodities.
Good luck!
DS
TOP 10 BEST TRADINGVIEW INDICATORS FOR 2025In this video, I show you all how I use some of my favorite TradingView indicators for my trading & investing strategies & explain how these can be the most powerful tools in your arsenal if you are a trader or investor!
My Top 10 TradingView Indicators are also Below:
1. CM_Ultimate RSI Multi Time Frame by ChrisMoody
2. Death Cross - 200 MA / 50 Cross Checker by MexPayne
3. Gaps
4. Indicator: WaveTrend Oscillator by LazyBear
5. Moving Average Convergence Divergence (MACD)
6. Pi Cycle Bottom Indicator by Doncic
7. RCI3lines by gero
8. Stochastic RSI
9. TDI - Traders Dynamic Index by JuanManuelOrtiz
10. True Strength Index
US dollar rally faces hurdle as rates unwind stalls at key levelWhether it reflects US economic exceptionalism reducing the need for large-scale rate cuts from the Federal Reserve or improved prospects for Donald Trump winning the US Presidential election, or a combination of both, it’s obvious the US interest rate outlook is dictating direction across FX markets.
Higher US yields are sucking capital from other parts of the world, helping to fuel US dollar strength. With short-dated Treasury futures teetering above a key technical level, what happens next could be highly influential in determining the path for currencies and global borrowing costs as we move towards year-end.
How to Use Trading Zones in CryptoHello, Skyrexians!
Last two articles were the deep dive into the Awesome Oscillator and Acceleration Deceleration indicators by Bill Williams. In conjunction with the fractals and the alligator these indicators are the powerful concept in cryptocurrency trading. It can significantly boost your cryptocurrency trading strategy, crypto trading algorithm or you can implement it into trading bot. Today we will expand this concept with the trading zones - the periods on the market with the bullish or bearish superiority.
Trading zones is not the popular concept in comparison to Awesome Oscillator, that's why using it can give you a huge advantage in crypto trading because even top crypto traders don't use it in their trading routine. Let's go through its concept.
Before start observing the trading zones concept we have to understand what are the Awesome Oscillator and Acceleration/Deceleration. Awesome oscillator is the approximation of the market's driving force. Usually it starts moving before the price if this is an impulsive wave. During corrections it can flash the false signals. Before the driving force starts moving the acceleration changes its direction. That's why combination of these indicators is so important.
What is the trading zone?
As you know from AO and AC descriptions they can have 2 conditions: increasing (greed bars) and decreasing (red bars). According to this we can define 3 marker conditions:
Green zone. Both AO and AC have the increasing columns. This is the strong bullish phase. Only long trades are allowed.
Red zone. Both AO and AC have the decreasing columns. This is the strong bearish phase. Only short trades are allowed.
Gray zone. AO and AC have the different directions. No signals can be generated by this trading zone
How to REALLY Trade Divergences (One of My Favorite Entries)This tutorial might be short, but it is packed with potent information on how to REALLY trade divergences.
Divergences are one of the BEST ways to catch market reversals. However, from what I have seen, most people do not have a real process for determining when a divergence is actually confirmed/triggered, and then how to determine targets based on the divergence setup.
In other words, most people don't have a plan for trading divergence.
This video will give you a full plan (Setup/Trigger/Follow Through) for trading divergences.
I give full credit to Jake Bernstein, as this is a concept that I learned from him. He is one of the all time greats, and very worth your time to check out.
I hope you found this video insightful.
Have a great week.
How I Use Multi Timeframe Analysis to Capture LARGE Price SwingsDISCLAIMER: This is not trade advice. Trading involves real risk. Do your own due diligence.
TUTORIAL:
Today, I demonstrate the thought process and mechanical steps I take when trading my Multi-Timeframe strategy. We take a look at US Treasuries, which have offers a classic lesson in how to apply this approach.
As you will see, throughout the year, this approach took some losses prior to getting involved in the "real" move which we anticipated. No strategy is perfect, and I do not purport this to be perfect. It is a rules based and effective way to read price. This strategy is great for people who don't have a lot of time to spend at the charts. I would classify this more as an "investing" strategy when utilizing the 12M-2W-12H timeframe.
If you have questions about anything in this video, feel free to shoot me a message.
I hope you have all had a great week so far.
Good Luck & Good Trading.
Deep dive into Acceleration / Deceleration Indicator Hello, Skyrexians!
Last time we discussed how you can use the Awesome Oscillator to create profitable crypto trading strategies and which type of signals it generates. Today we will deep dive into Acceleration/Deceleration (AC) the next Bill Williams indicator, which can also enhance your cryptocurrency trading strategy. This indicator also can be valuable not only for manual trades, but also for developing your crypto trading algorithm, crypto algo trading platform, crypto trading bot, ai trading bot or grid bot.
The main thing is to understand what is the AC indicator and which signals it generate, which signals we shall use in crypto trading like top crypto traders. Let's go!
What is Acceleration / Deceleration?
The Acceleration/Deceleration Oscillator (AC) is a technical analysis indicator developed by Bill Williams, a notable trader and author known for his work in market psychology and trading systems. This indicator helps traders identify changes in market momentum and potential trend reversals.
How the Acceleration/Deceleration (AC) Indicator Works? The AC indicator is based on the idea that the momentum of the market (speed of price movement) often changes before the price itself changes. By identifying these shifts in momentum early, traders can anticipate potential trend changes.
The AC is derived from the Awesome Oscillator (AO), another indicator created by Bill Williams, which is the difference between a 34-period and a 5-period simple moving average of the median price (the average of high and low prices).
The AC is calculated by subtracting a 5-period simple moving average of the AO from the AO itself. Mathematically, it can be represented as:
AC = AO − SMA5(AO)
Where AO is Awesome Oscillator (calculated as the difference between the 34-period SMA and the 5-period SMA of the median price). SMA5(AO) is 5-period simple moving average of the AO. Now let's consider which types of signals AC can generate.
How to use Implied Volatility Index to analyze Bitcoin▮ Introduction
Bitcoin is known for its price volatility. Analyzing the price chart alone is often not enough to make buy and sell decisions.
Implied volatility indexes such as DERIBIT:DVOL and VOLMEX:BVIV can complement traditional technical analysis by providing insights into market sentiment and expectations.
▮ Understanding DVOL/BVIV
DVOL and BVIV measure the expected implied volatility of Bitcoin over the next 30 days, derived from real-time call and put options.
DVOL is calculated by Deribit, the world's largest Bitcoin and Ether options exchange.
BVIV is calculated by Volmex Finance; the data is extracted from exchanges (currently Deribit and OKX), and then combined into a single set.
* In addition to Bitcoin, it is possible to analyze Ethereum-specific instruments through the ticks DERIBIT:ETHDVOL and VOLMEX:EVIV, whose line of reasoning is the same.
▮ Interpreting the chart
🔶 High DVOL/BVIV values indicate that the market expects greater volatility in the next 30 days. This is usually associated with uncertainty, fear, or expected major events.
🔶 The index does not indicate the direction of the price, but rather whether volatility will increase or decrease.
🔶 Low values indicate an expectation of lower volatility and are usually associated with calmer and more optimistic markets.
🔶 To get an idea of the expected daily movement of Bitcoin, simply divide the DVOL value by 20. For example, a DVOL of 100 indicates an expected daily movement of 5%.
🔶 Divergences between the price of Bitcoin and DVOL/BVIV can signal inflection points.
🔶 Price rising with a drop in DVOL/BVIV may indicate exhaustion and a potential top.
🔶 Price falling with a drop in DVOL/BVIV may indicate exhaustion and a potential bottom.
▮ Example
The price of BTC here is at the top in white.
The DVOL and the RSI of DVOL are both in red.
The reason I put the RSI here is that it is easier to analyze DVOL, since the values are in a fixed range, therefore easier to interpret.
On March 25, 2022, the RSI shows a contracted value of 30, that is, low implied volatility. This foreshadows a period of calm that precedes a period of agitation.
In this case, the “agitation” soon materializes in a period of price decline.
When the RSI then reaches the upper limit range, at 83 (on May 12, 2022), a peak in volatility is characterized.
Then, after that, it begins to decrease. This decrease in volatility in DVOL corroborates the moment of Bitcoin’s lateralization within the orange box.
▮ Conclusion
Although DVOL and BVIV should not be used in isolation, they can be valuable tools for confirming price chart signals and anticipating major movements.
Incorporating implied volatility analysis into your strategy, can improve the timing of entries/exits and help manage risk.
⚠️ But remember:
Just because a strategy worked in the past does not mean it will work forever.
Past profitability is no guarantee of future profitability.
Do your own analysis and risk management.
Deep dive into Awesome OscillatorsHello, Skyrexians!
We continue our series of educational content. Today it's time to consider the Awesome Oscillator, the indicator introduced by Bill Williams in his book "Trading Chaos". It can be very useful in your crypto trading. A lot of crypto trading strategies use this indicator. You can combine it with other indicators to create your crypto trading algorithm, trading bot or manual cryptocurrency trading strategy. Most of top crypto traders and top crypto trading platforms use it in their automated crypto trading. If you will be aware you to trade using Awesome Oscillator will be able to enhance your automated trading bot, manual trading strategy or setup grid trading bot more effectively. We think there is enough arguments to learn how to use this indicator. Let's start our deep dive!
What is Awesome Oscillator?
The Awesome Oscillator (AO) is a momentum indicator used in technical analysis to measure the strength and direction of a market trend. It was created by Bill Williams and is designed to help traders identify potential reversals or trend continuations.
Key Features of the Awesome Oscillator:
Momentum Measurement: The AO measures the difference between a short-term moving average and a long-term moving average, using midpoints of each candlestick rather than closing prices. This provides insights into the market's momentum.
Histogram Representation: The indicator is typically displayed as a histogram, with bars oscillating above and below a zero line. Green bars represent increasing momentum (bullish), while red bars indicate decreasing momentum (bearish).
The Awesome Oscillator is calculated using simple moving average(SMA) as follows:
AO = SMA(5-period) − SMA(34-period)
Now let's consider the signals which can be produced by Awesome Oscillator with the examples.
An ADX Tip. :)Hello traders! I'm back from a few years away and found a little nugget on ADX in my trading notes which I wanted to share with you. As you may know I have focused the majority of my attention on candlestick analysis using Steve Nison training material. In one of his courses I have written down this quote by a significant trader he talks about sometimes,
" Some of the best buy signals are found when ADX is below 15 and begins to rise. " - Chuck Lebeau
Having seen that quote I brought up TradingView and found the most recent occurrence of that happening on the asset I was analyzing on the Weekly chart and look what I found:
Steve Nison teaches a strategy called "Trading the 9" which involves the 9, 20, & 50 period moving averages. Look, there was a Golden Cross of all of them exactly when ADX crossed above 15! Outstanding! Maybe look at adding an alert on the assets you watch for ADX crossing above 15! :)
Elliott Wave DemonstrationDemonstration of Elliott Wave Principles using Bitcoin chart:
Rules:
Wave 2 never goes below end of Wave 1 => checked
Wave 3 is not the shortest of Wave 1, 3 and 5 => checked
Wave 4 never goes below end of Wave 1 => checked
Guidelines:
Guideline of Alternation: Wave 2 and 4 alternates in form (sharp vs sideways), retracement (shallow vs deep) and duration (long vs short) => checked
Guideline of Wave Equality: Two out of three waves (1,3 and 5) tend to be equal in length and duration, Wave 1 and 5 meeting this guideline => checked
Momentum is highest during end of wave 3, end of Wave 5 normally creates divergence with price => checked
Volume during Wave 3 is normally the highest amongst Wave 1,3 and 5
Relations with Fib ratios:
Wave 2 retraced Wave 1 by 78.6% (deep)
Wave 3 was equal to 261.8% of Wave 1 (longest)
Wave 4 retraced Wave 3 by 38.2% (shallow)
Wave 5 was equal to 100% of Wave 1 (Guideline of Wave equality)