My NQ Long Idea 5/5/2025Been a while but I haven't been posting ideas because I have been scalping and doing smaller time frame trades. I think we have NQ at a nice price level where we might see a bull run soon with the market sentiment slowly "thawing" on the idea of "risk-off" sentiment to "risk-on" sentiment and environment with more uncertainties clearing out of the market scenes.
We have US trying to negotiate deals with many countries including China which is very challenging and we can never know if it will be achieved or not. However, from an economic point of view we can agree that the US economy is in the Neutral-bullish. We have a very bullish price action in the past week or so. We also have healthy economic numbers but it is still unclear until Wednesday.
On Wednesday the FED will speak on this matter and give us some clarity on whether it is a Risk-on or Risk-off environment. Anything will happen but I can see the "Gap" getting filled on FED day due to the SPIKE that will be delivered to us.
Currently Edgefinder tool is giving us 8 for NQ with only the GDP and sPMI scores in the negative. However the net score is bullish and on the positive.
I think 1 of those two ideas will be played out sooner or later anything can happen but from a technical view I would like to see the price reaching the 50% FIB and then take off from there.
It is subjective though and everything in trading is subjective including what I do and say.
ATR
Gold Technical Expert Review - 3 May 2025 XAUUSD 1H Forecast
✅ Structure Summary:
The market is in a clear bearish trend, forming lower highs and lower lows.
Price has tapped into a validated 1H LQ Close zone, showing early signs of a bullish reaction.
A large untouched supply zone remains above, possibly acting as a future trap.
🔮 Price Forecast:
📈 Short-Term Bullish Scenario:
Price could bounce from the current LQ Close zone and rally toward the descending trendline.
It may interact with local liquidity pools or minor supply zones on the way — Phase 1 inducement in progress.
📉 Main Bearish Scenario:
Upon reaching the descending trendline or supply area, price could reverse again following the Phase 2 inducement, aligning with the broader bearish structure.
Downside targets include the 3180 region, and potentially lower toward 3150 if momentum increases
USDCAD Technical Expert Review - 3 May 2025✅ Market Structure Summary:
The market entered a distribution phase, clearly forming equal highs and a head & shoulders–like pattern.
After breaking out of the descending wedge, price surged upward to tap the upper supply zone (gray), sweeping liquidity before dropping sharply.
We now see price reacting to a mid-demand zone, with another deeper demand zone resting below.
📍 Key Technical Zones:
🔹 Upper Gray Supply Zone:
This zone was tapped after liquidity was grabbed from the equal highs.
Strong bearish rejection with impulse candles confirms it as a valid shorting zone.
It remains active and could act as a trap if retested without proper bullish structure.
🔹 Mid-Demand Zone (current reaction point):
Price is currently reacting from this area.
Initial bullish reaction is visible, but the reaction isn't strong enough yet to confirm reversal.
Weak buyer pressure (wicky candles) suggests vulnerability.
🔹 Lower Demand Zone (main target if breakdown occurs):
If the current zone fails, price will likely drop toward this deeper demand block, which hasn't been mitigated yet.
This area could offer a more solid foundation for a bullish reversal.
🔮 Forecast Scenarios:
📉 Primary Bearish Scenario:
If price fails to create higher highs from the current mid-demand zone:
Expect a continuation down toward the lower gray demand zone.
If that breaks, price could target the green higher-timeframe demand around 1.37200.
📈 Alternative Bullish Scenario:
If price builds structure and forms a higher high from this zone:
A short-term rally back toward the upper supply zone is possible.
However, without a strong breakout, that area still holds risk for another sell-off.
USDJPY Technical Expert Review - 3 May 2025🔮 USDJPY Price Forecast – 1H Timeframe
📈 Bullish Scenario:
Price may bounce from the LPP Inducement + HL (Higher Low) area and push upward.
The first target would be the upper blue LQ Close zone, which is still untouched.
If we observe weakness or an “M-shaped” reaction within that blue zone, a sell setup could be valid (inducement trap).
However, if price breaks and closes above the blue zone, further bullish continuation is expected — possibly toward the higher green liquidity zone around 147+.
📉 Bearish Scenario:
If the HL (blue zone) fails and breaks down, forming a new Lower Low (LL),
Then we can expect price to retrace toward the lower green demand zone, around 141.000, which aligns with higher timeframe liquidity and unmitigated demand.
GBPUSD Technical Expert Review - 3 May 2025🔮 Price Forecast (Main Scenarios)
📈 Bullish Scenario (if price reacts from current level):
Price may bounce from the current 1H LQ Close zone (gray).
It could rally toward the upper 1H LQ Close zone (purple) to retest it and potentially trigger Phase 2 Inducement.
🎯 First target: 1.33150
🎯 Second target: 1.33450 (just below the 4H LQ Close)
📉 Bearish Scenario (if the current zone breaks):
A clean close below 1.32500 could open the path toward the 4H LQ Close zone.
🧲 Expect potential reversal around 1.31600–1.31800 (major buy zone).
DXY Technical Expert Review - 3 May 2025Weekly Price Reaction Expectations:
Overall, for this week, we expect a price reaction around the ATI candle zone, followed by another potential reaction near the upper LQCLOSE BOX area.
DXY Bullish Momentum Justification:
Additionally, since the LPP or investment liquidity has been consumed, the bullish momentum in DXY appears more justified.
Nifty - moderation of +ve momentum seen on short period charts.Nifty closed with over 1% 21 VWMA was rising, Nifty respected SD+2 resistance today.
23298, 23395 resistance levels for tomorrow.
SD+1 or 23057 acted as major support today, any breach below this and sustaining lower will signal some weakness.
23730 major pivot, as long as this is help, uptrend is intact, and Nifty is in buy on dips.
24060, 23930, 23875, 23790, 23760 major support levels.
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.
Understanding Average True Range (ATR): A Measure of Market VolaThe Average True Range (ATR) is a technical analysis indicator that measures market volatility. Developed by J. Welles Wilder Jr., the ATR provides traders with insights into price fluctuations, helping them set stop-loss levels, identify breakout opportunities, and assess market conditions.
What is ATR?
ATR represents the average range of price movement over a specified period, capturing the level of volatility rather than the direction of price movement. A higher ATR indicates greater volatility, while a lower ATR suggests a calmer market.
How is ATR Calculated?
The ATR calculation involves three steps:
1. Determine the True Range (TR):
The True Range is the greatest of:
- The current high minus the current low.
- The absolute value of the current high minus the previous close.
- The absolute value of the current low minus the previous close.
2. Calculate the Average True Range:
- ATR is the moving average of the True Range over a specified period (typically 14 periods).
How to Use ATR in Trading
1.Set Stop-Loss Levels:
- Use ATR to place stop-loss orders at a distance that accounts for market volatility. For instance, set a stop-loss at 1.5x the ATR below the entry price in an uptrend.
2.Identify Breakouts:
- Compare current ATR values to historical ATR levels. A sudden spike in ATR often signals a breakout, indicating increased volatility and potential price movement.
3. Determine Market Conditions:
- High ATR values suggest volatile markets, often seen during major news events or market openings.
- Low ATR values indicate a period of consolidation or range-bound conditions.
4. Position Sizing:
- ATR can help calculate position sizes based on volatility, allowing traders to adjust their risk exposure accordingly.
Strengths of ATR
-Versatility:Can be applied to any asset class or timeframe.
- Adaptability:Works in trending and range-bound markets to measure volatility.
- Enhances Risk Management:Helps traders set realistic stop-loss levels based on market conditions.
Limitations of ATR
-Lagging Indicator:ATR is based on historical data and doesn’t predict future price movements.
-No Directional Bias:ATR measures volatility, not the direction of the trend.
-Context Needed:ATR values alone don’t provide actionable signals without additional analysis.
Best Practices for Using ATR
1. Combine with Other Indicators:
- Pair ATR with trend-following tools like moving averages or MACD to validate signals.
2.Adjust Periods:
- The default 14-period setting works well for most markets, but traders can adjust it based on their strategy and timeframe.
3.Use with Breakout Strategies:
- Monitor ATR spikes to identify potential breakout opportunities.
Example of ATR in Action
Imagine Ethereum (ETH) has an ATR value of $50 on a daily chart. A trader planning to enter a long position at $1,800 might set a stop-loss at $1,725 ($1,800 - 1.5x ATR) to account for typical price fluctuations. As the ATR increases to $75 during a volatile period, the trader adjusts their stop-loss level to $1,687.50 ($1,800 - 1.5x ATR), ensuring it reflects the heightened volatility.
Conclusion
The Average True Range is an invaluable tool for traders seeking to understand market volatility and manage risk effectively. While it doesn’t predict price direction, its ability to quantify volatility makes it a key component of any robust trading strategy. Practice incorporating ATR into your analysis to refine your approach and improve decision-making.
BNB 15M Reversal PlayLook how the market reversed and the day's sentiment shifted. 📉📈 You can see this in the charts, of course, but I now track sentiment with numbers.
The scores "UP and DOWN" before the ">" reflect the start of the day, while those after the ">" show the current sentiment. This shift means I’ll focus on searching for shorts instead of longs (for now)- which make this day a potential ''reversal play'' for me. All intraday.
But also, this is typical End OF Year chop, for example watch DOGE 15M trend, reversed 4 times which make this very bad to trade on for me with a 15M system.
BNB Numbers, factual structure:
- Structure: 1D: UP | 4H: UP | 1H: UP | 15M: DOWN > UP |
- First 2H (15M): UP
- 15M Sentiment: EMA's: UP > DOWN > UP | ATR: UP > DOWN > UP
- Up score 4/7 > 7/7"
DOGE Intraday: Sentiment and Precision-BasedEntry Criteria:
- EMA Cross: 24/42 EMAs cross to signal trend shift/continuation.
- Pivot Gain: Regain 2H-bias line (P1) and daily open (P2) to confirm support/resistance.
Exit:
- EMA Cross: Close on 12/21 EMA cross to secure profits or reduce losses.
Or
- 3R fixed for 50% or 100% TP
Confirmation:
- Daily Open respected/aligned for conviction.
- Supertrend (30M) matches trade direction.
Non-Trading Zone:
- Avoid trades in "Dead Space" (P1 ≤ x ≤ P2) due to low probability.
Entry: 0.32166
Stoploss: 0.31870
TP: TBC
SOL intraday Sentiment confirmation (LONG)Entry Criteria:
- EMA Cross: 24/42 EMAs cross to signal trend shift/continuation.
- Pivot Gain: Regain 2H-bias line (P1) and daily open (P2) to confirm support/resistance.
Exit:
- EMA Cross: Close on 12/21 EMA cross to secure profits or reduce losses.
Or
- 3R fixed for 50% or 100% TP
Confirmation:
- Daily Open respected/aligned for conviction.
- Supertrend (30M) matches trade direction.
Non-Trading Zone:
- Avoid trades in "Dead Space" (P1 ≤ x ≤ P2) due to low probability.
So, first i want price to close at a least one 15M candle above the ''Top dead-space'' in order to enter.
Current structure score:
- Structure: 1D: UP | 4H: UP | 1H: DOWN | 15M: UP |
- First 2H (15M): UP
- 15M Sentiment: EMA's: UP | ATR: UP
- Up score 7/7
41-Day Sentiment mastery missionGM WARRIORS
I'm on a mission to master the SuperTrend indicator by testing all 42 combinations of its key settings: Factor, ATR (Average True Range), and Time Periods.
Each day, I’ll backtest 50 trades on a new combination to refine a 15-minute day trading system, focusing on trend precision and market sentiment. The combinations include:
21 Factors (2.0 to 4.0 in 0.1 increments).
2 Timeframes (15M and 30M).
Goal: Identify the optimal SuperTrend configuration, master early trend reversals, and sharpen market insights within a month.
Results will be shared daily via a public sheet and incorporated into my ongoing SuperTrend study. If you’d like updates, let me know, and I’ll tag you in this journey!
📊 Progress Sheet: docs.google.com
📘 SuperTrend Study: docs.google.com
ATR/USDT Facing the ResistanceHello everyone, I’m Cryptorphic.
I’ve been sharing insightful charts and analysis for the past seven years.
Follow me for:
~ Unbiased analyses on trending altcoins.
~ Identifying altcoins with 10x-50x potential.
~ Futures trade setups.
~ Daily updates on Bitcoin and Ethereum.
~ High time frame (HTF) market bottom and top calls.
~ Short-term market movements.
~ Charts supported by critical fundamentals.
Now, let’s dive into this chart analysis:
ATR is currently facing resistance between $0.0165 and $0.0211. If ATR fails to break above this resistance level, a downtrend is likely, with a potential drop to the $0.0047-$0.0064 range.
On the upside, a breakout above this resistance will confirm a bullish rally for ATR, with potential gains of over 740% from the support level.
The RSI is trending below the middle line and is likely to reach the oversold zone, indicating a possible bearish move.
Key Levels:
- Primary Resistance: $0.0165-$0.0211.
- Primary Support: $0.01193.
- Lower Support/Accumulation: $0.0047-$0.0064.
- All-Time Low: $0.0025.
- All-Time High: $0.105.
- Scenario: Possible rejection, followed by a rebound.
DYOR. NFA.
Please hit the like button to support my content and share your thoughts in the comment section. Feel free to request any chart analysis you’d like to see!
Thank you!
#PEACE
Volatility in Focus: A Trader's Perspective on S&P 500 Futures1. Introduction
Volatility is a critical concept for traders in any market, and the E-mini S&P 500 Futures are no exception. Traditionally, traders have relied on tools such as the Average True Range (ATR) and Historic Volatility (HV) to measure and understand market volatility. These tools provide a snapshot of how much an asset's price fluctuates over a given period, helping traders to gauge potential risk and reward.
ATR measures market volatility by analyzing the range of price movement, often over a 14-day period. It reflects the degree of price movement but doesn’t differentiate between upward or downward volatility. Historic Volatility looks at past price movements to calculate how much the price has deviated from its average. It’s a statistical measure that gives traders a sense of how volatile the market has been in the past.
While these traditional tools are invaluable, they offer a generalized view of volatility. For traders seeking a more nuanced and actionable understanding, it's essential to distinguish between upside and downside volatility—how much and how fast the market moves up or down.
This article introduces a pragmatic, trader-focused approach to measuring volatility in the E-mini S&P 500 Futures. By analyzing daily, weekly, and monthly volatility from both the upside and downside perspectives, we aim to provide insights that can better prepare traders for the real-world dynamics of the market.
2. Methodology: Volatility Calculation from a Trader’s Perspective
In this analysis, we take a more nuanced approach by separating volatility into two distinct categories: upside volatility and downside volatility. The idea is to focus on how much the market tends to move up versus how much it moves down, providing a clearer picture of potential risks and rewards.
Volatility Calculation Method:
o Daily Volatility:
Daily upside volatility is calculated as the percentage change from the prior day's close to the next day’s high, assuming the next day’s high is higher than the prior day’s close.
Daily downside volatility is the percentage change from the prior day's close to the next day’s low, assuming the next day’s low is lower than the prior day’s close.
o Weekly Volatility:
Weekly upside volatility is determined by comparing the previous Friday’s close to the highest point during the following week, assuming the market went higher than the prior Friday’s close.
Weekly downside volatility is calculated by comparing the previous Friday’s close to the lowest point during the following week, assuming the market went lower than the prior Friday’s close.
o Monthly Volatility:
Monthly upside volatility is measured by taking the percentage change from the prior month’s close to the next month’s high, assuming prices moved higher than the prior monthly close.
Monthly downside volatility is calculated by comparing the prior month’s close to the lowest point of the following month, assuming prices moved lower than the prior monthly close.
3. Volatility Analysis
The E-mini S&P 500 Futures exhibit distinct patterns when analyzed from the perspective of upside and downside volatility. By measuring the daily/weekly/monthly fluctuations using the trader-focused approach discussed earlier, we gain valuable insights into how the market behaves on a day-to-day basis.
Key Insights:
Trend Observation: The data reveals that during periods of market distress, such as financial crises or sudden economic downturns, downside volatility tends to spike significantly. This indicates a greater propensity for the market to fall rapidly compared to its upward movements.
Implication for Traders: Understanding these patterns allows traders to anticipate the potential risks and adjust their strategies accordingly. For instance, in highly volatile environments, traders might consider tightening their stop losses or hedging their positions to protect against sudden downturns.
4. Comparative Analysis: Rolling Volatility Differences
To gain deeper insights into the behavior of the E-mini S&P 500 Futures, it’s useful to compare the rolling differences between upside and downside volatility over time.
Rolling Volatility Differences Explained:
Rolling Analysis: A rolling analysis calculates the difference between upside and downside volatility over a set period, such as 252 days for daily data (approximately one trading year), 52 weeks for weekly data, or 12 months for monthly data. This method smooths out short-term fluctuations, allowing us to see more persistent trends in how the market behaves.
Volatility Difference: The volatility difference is simply the upside volatility minus the downside volatility. A positive value suggests that upside movements were more significant during the period, while a negative value indicates stronger downside movements.
Key Insights:
Trend Observation: The rolling difference analysis reveals that downside volatility generally dominates, particularly during periods of economic uncertainty or financial crises. This confirms the common belief that markets tend to fall faster than they rise.
Implication for Traders: Traders could use rolling volatility differences to anticipate changes in market conditions. A widening gap in favor of downside volatility may signal increasing risk and the potential for further declines. Conversely, a narrowing or positive rolling difference could suggest improving market sentiment and potential opportunities for long positions.
5. Volatility Trends Over Time
Understanding the frequency and conditions under which upside or downside volatility dominates can provide traders with valuable insights into market behavior. By analyzing the percentage of days, weeks, and months where upside volatility exceeds downside volatility, we can better grasp the nature of market trends over time.
Volatility Trends Explained:
Percentage of Days with Greater Upside Volatility: This metric shows the percentage of trading days within a given year where the upside volatility was higher than the downside volatility. It highlights the frequency with which the market experienced more significant upward movements compared to downward ones on a daily basis.
Percentage of Weeks with Greater Upside Volatility: Similarly, this metric calculates the percentage of weeks in a year where the upside volatility was greater than the downside. It provides a broader perspective on market trends, capturing sustained movements within weekly timeframes.
Percentage of Months with Greater Upside Volatility: This metric reflects the percentage of months in a year where upside volatility exceeded downside volatility. It is particularly useful for identifying longer-term trends and understanding the market’s behavior over extended periods.
Key Insights:
Trend Observation: Historically, again, we can see the data shows that downside volatility tends to dominate, especially during periods of market stress. However, there are years where upside volatility has been more frequent.
Implication for Traders: Traders can use these insights to adjust their strategies based on the prevailing market conditions. In years where downside volatility is more frequent, defensive strategies or hedging might be more appropriate. Conversely, in years where upside volatility dominates, traders might consider more aggressive or trend-following strategies.
6. Key Takeaways for Traders
The analysis of the E-mini S&P 500 Futures’ volatility, broken down by daily, weekly, and monthly intervals, provides crucial insights for traders. Understanding the distinct patterns of upside and downside volatility is essential for making informed trading decisions, particularly in a market that often behaves asymmetrically.
Practical Conclusions for Traders:
Risk Management: Given the dominance of downside volatility, traders should prioritize risk management strategies. This includes using stop-loss orders, protective options, and other hedging techniques to mitigate potential losses during volatile periods.
Strategic Positioning: Traders might consider adjusting their position sizes or employing defensive strategies during periods of heightened downside volatility. Conversely, when upside volatility shows signs of strengthening, more aggressive positioning or trend-following strategies could be beneficial.
Timing Entries and Exits: Understanding the patterns of volatility can help traders better time their entries and exits. For instance, entering the market during periods of lower downside volatility or after a significant downside spike can offer better risk-reward opportunities.
Adaptability: The key to successful trading in volatile markets is adaptability. Traders should remain flexible and adjust their strategies based on the prevailing market conditions, as indicated by the volatility analysis.
By incorporating these insights into their trading approach, traders can better navigate the E-mini S&P 500 Futures market, enhancing their ability to capitalize on opportunities while managing risks effectively.
When charting futures, the data provided could be delayed. Traders working with the ticker symbols discussed in this idea may prefer to use CME Group real-time data plan on TradingView: www.tradingview.com This consideration is particularly important for shorter-term traders, whereas it may be less critical for those focused on longer-term trading strategies.
General Disclaimer:
The trade ideas presented herein are solely for illustrative purposes forming a part of a case study intended to demonstrate key principles in risk management within the context of the specific market scenarios discussed. These ideas are not to be interpreted as investment recommendations or financial advice. They do not endorse or promote any specific trading strategies, financial products, or services. The information provided is based on data believed to be reliable; however, its accuracy or completeness cannot be guaranteed. Trading in financial markets involves risks, including the potential loss of principal. Each individual should conduct their own research and consult with professional financial advisors before making any investment decisions. The author or publisher of this content bears no responsibility for any actions taken based on the information provided or for any resultant financial or other losses.
EURAUD - FakeOut + Potential Bearish BreakoutTaking a look at the 4 hour timeframe, price action attempted to break and hold above the high timeframe resistance. However following the 4H rejection candle, prices began to drop towards the ascending support.
Question now is.. will this ascending support break and hold. ATR and RSI are both giving us early clues that it will.
Trade Safe
FCPO : A CONFLUENCE OF MULTI FACTORS, WHEN AND WHEREMTF-Trend & SnR is based on two measurement instruments namely Multi-timeframe Average True Range (ATR) to analyze market trends while Multi-timeframe Pivot Low High to know supply and demand (support & resistance). Exactly, it answers the confluence of "when" and "where" as a factor for traders.
5 minutes chart
5 minutes combination with GCOV5 & TCD osc
get more clearly confirmation and SnR
You Need An Edge In The Markets - Tradingview Has The Tools!👉📈 In the video, we look at a EURUSD trade opportunity, but more importantly, we delve into essential features and tools available on TradingView, which can considerably enhance your trading edge. Here’s what we cover:
✅ 1: Multi-Chart Layout:
- TradingView’s workspace allows you to view multiple charts simultaneously. This feature is particularly useful when analyzing currency pairs like EURUSD.
- By comparing different timeframes or related assets, you gain a broader perspective on market dynamics.
✅ 2: Currency Indexes:
- Currency indexes provide crucial insights. They help answer questions like:
Is the EUR (Euro) truly under pressure?
Is the USD (US Dollar) gaining strength?
- For instance, even if the EURUSD pair appears bearish, understanding the individual currency strengths is vital. Sometimes, two currencies may be trending in the same direction with one slightly stronger than the other.. you might look to avoid trading the currency pair associated with this scenario.
✅ 3: Entry, Stop Loss, and Target Levels:
- We explore how to identify optimal entry points, setting a suitable stop-loss, and define profit targets.
📢Leveraging TradingView’s tools, you can fine-tune your trading strategy and gain a real edge in the currency markets.
📢 Remember, steady conservative and consistant trading, along with rigorous risk management, is key. Happy trading! 🛡️🌟
ATR/USDT At a Make or Break Point | Watch Out For Correction 👀 💎Paradisers, prepare for a high-stakes scenario with #Artrade! Currently, there's a high probability for a bearish continuation as the price tests the key support at $0.0216. Locked within a descending channel, this level has held up until now, but a fading trading volume hints at a price drop toward the highlighted demand zone.
💎If #ATR does not break below the $0.0216 support and instead climbs, be wary of the resistance at $0.027. This zone has consistently attracted heavy selling pressure and will likely drive the price further down once touched.
💎If NYSE:ATR revisits this critical demand zone, securing a rebound is vital. Failure to recover will actually fuel bullish momentum, potentially leading to a breakout from the current descending pattern and invalidate the bearish scenario.
💎Stay vigilant and prepared, Paradisers. This is a crucial moment that could dictate the next significant move for #Artrade. Keep your strategies flexible and watch closely as we guide you through these unfolding dynamics in the #ATR market.
MyCryptoParadise
iFeel the success
Could the Bitcoin ATR be showing us a Fall is incoming ?For those that do not know, The Average True Range (ATR) is a tool used in technical analysis to measure volatility. Unlike many of today's popular indicators, the ATR is not used to indicate the direction of price. Rather, it is a metric used solely to measure volatility, especially volatility caused by price gaps
So why do I say a Drop maybe incoming ?
Volatility tends to rise as we come ot a High, as can be seen on this Chart of the BTC ATR since 2021. The Vertical dashed lines are the BTC ATH points.
Again, as you can see, ATR continues for a short time after. The same happened in 2017 but for now, I WIll contrate on this date range.
Using a Fib retracement off the 1st ATR ATH in March 2021, it goes to the 0 line and then climbs back up to mid way between the 0.5 and the 0,618, before it turns around and Falls into the bear market.
Using a Fib retracement from the same March 2021 ATR ATH, but coming down to the Low of 2023, we can see that the ATR has once again climbed back up to near mid way between the 0.5 and the 0.618, formed an ATH and is now currently turning down.
It is repeating what it did in 2021
But does this mean that it will continue to fall ?
NO but we need to keep an eye on this..and remember, ATR falling foes not always mean PA will but this chart and the ATH's speak for themselves..
For me, I will wait and if the ATR reaches the 0.5, I wlll CLOSELY to see if it gets support or not.
Rikyrat AlgoIn Rikyrat Algo,you take a short when you get a sell signal by my indicator.To set the stop loss,choose a recent swing high and add or subtract the atr value to it.For take profit use a 1:1 or whichever risk to reward ratio you want but upon half the profit area,book the profit and set the stop loss to the entry price.To get the indicator ,anyone can contact me for it. MEXC:BTCUSDT.P