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Meanreversion

Technical Review - BTCThere are lots of confident predictions about where markets will head next. However, at its core, trading is about speculation and taking calculated risks—not about certainty. In this post, I'll share some technical trades in BTC from recent price action. While hindsight bias will naturally come into play, I did take several of these setups in real time. Higher Timeframe Context (1-Month) In terms of the higher timeframe context, there has been a clear uptrend with two distinct continuation setups (noticeable move up, followed by a contraction towards the mean price which then sets up for a continuation). At the current time there has been an attempt for a third move. These could have been entered on the range expansion from the contractive state, however when prices become extended towards the outer boundaries we better be cautious due to risk of mean reversion. At such extremes, its better to scale out or look for better opportunities. These locations are often reached as measured moves (assumed average price volatility is sustained, as seen on the right side of the chart). This does not meant the move is over, but rather where the risk of mean reversion is increased, price can deviate from average volatility all the time. This analysis is not a prediction of future behavior, but rather a review of recent events and how they could have been traded in technical terms. There is also a component of discretion, which occur in in real time, but is not relevant to asses at this point. Before we take a trade we want to consider: What is the current structure in play, is it a trend or a range? Where is price located within that structure, are we at or near extremes? In case above conditions are met, is there a setup or an entry trigger? This all boils down to the search for imbalance. Daily Timeframe: Range-Bound Trading Opportunities In terms of my trading timeframe, which is the daily, BTC has spent the past months within a distinct range. When such a structure is in play, the locations of interest are at or near the extremes (upper and lower boundaries) where imbalances tend to occur. Efficient trades at these extremes typically arise when there’s a failure test (also known as a failed breakout or 2B pattern). In these cases, price pushes outside the boundary, fails to follow through, and reverses back inside—often trapping participants and can fuel a move in the opposite direction. This dynamic tend to hold until there is an actual breakout, there is no bulletproof way to know what will happened, but most of the time it can be helpful to reference the higher timeframe. For example, in case breakout happen in opposite to the trend we can treat them as potential failures, while with trend (as in this case with BTC to the upside) we can either treat them as breakouts or at least not fade the move. There are however exceptions and nuances to these type of plays. On the chart, I’ve marked all failure tests where price moved back into the range and formed bullish continuation structures. These setups offered opportunities to enter and take profits. In my case, I typically targeted 1R trades on these setups, with some extending into full measured moves. In conclusion, its probably a decent idea to have a structured framework to locate imbalance, but it must be combined with discretion so we can adapt to different conditions. Its not about confident predictions, but rather probabilities and calculated risks. Don't become attached to positions, let the cumulative effect drive results.
BITSTAMP:BTCUSD
by Trader-Shah
Mean Reversion CME GAP at FOMC -> Pump until BOJ Rate DecissionHello guys! I will share a mean reversion idea on Bitcoin with you today. I expect Bitcoin to close the CME Gap, that got made at the beginning of the week. Currently we are very close to starting the recovery process. The CME Gap closing aligns very good with a mean reversion to the 50EMA on the 4hr timeframe. This could be an indication for a trend continuation of Bitcoin to the upside until friday when the Bank of Japan (BOJ) will decide their rate policy. We will look into the chart from a new perspective on friday so take this trade idea as a short term one. I mentioned in the chart that we have an unrecovered pink vector candle at the top. This could be an good area to aim for in the reversal process to take profit. With good execution this could be an good trade from 102k to 108k. Me personal, I don't think we will see a rate cut and if so only a small one. So nothing that will shake the markets to hard. I hope. Trade SAFE!
CME:BTC1!Long
by reports20netrust
Measured Moves: A Guide to Finding TargetsMeasured Moves: A Guide to Finding Targets Visualizing the boundaries of price movement helps anticipate potential swing points. The concept of measured moves offers a structured framework to estimate future price behavior, based on the observation that each swing move often mirrors the size of the previous one, assuming average price volatility remains consistent. While not exact, this approach provides a practical method to approximate the extension of a swing move. Background Determining profit targets across various methods and timeframes can be challenging. To address this, I reviewed the tactics of experienced traders and market research, noting key similarities and differences. Some traders relied more on discretion, while others used technical targets or predetermined risk-to-reward ratios. Levels of support and resistance (S/R) and the Fibonacci tool frequently appeared, though their application varied by trader. Based on current evidence, levels appear most relevant when tied to the highest and lowest swing points within the current price structure, for example in a range-bound market. In contrast, sporadic or subtle levels from historical movements seem no more significant than random points. The Fibonacci tool can provide value since measurements are based on actual price range; however, the related values have limited evidence to support them. To explore these ideas, I conducted measurements on over a thousand continuation setups to identify inherent or consistent patterns in swing moves. It’s important to emphasize that tools and indicators should never be used blindly. Trading requires self-leadership and critical thinking. The application of ideas without understanding their context or validity undermines the decision-making process and leads to inconsistent results. This concept formed the foundation for my analysis, ensuring that methods were tested rather than taken at face value. Definitions Trending price movement advances in steps, either upward or downward. This includes a stronger move followed by a weaker corrective move, also known as a retracement. When the corrective move is done and prices seem to resume the prevailing trend, we can use the prior move to estimate targets; this is known as a projection. For example, if a stock moves up by 10%, pauses, and subsequently makes another move, we can utilize that value to estimate the potential outcome. Well thats the idea.. Data Through manual measurements across various timeframes, price structures, and stock categories, I have gathered data on retracements and projections. However, this information should not be considered precise due to market randomness and inherent volatility. In fact, deviations—such as a notable failure to reach a target or overextensions—can indicate a potential structural change. As this study was conducted with a manual approach, there is a high risk of selection bias, which raises concerns about the methodology's reliability. However, it allows for a more discretionary perspective, enabling observations and discretion that might be overlooked in a purely automated analysis. To simplify the findings, the presented values below represent a combination of all the data. Retracement Tool In the context of price movements within a trend, specifically continuation setups, retracements typically fall between 20% and 50% of the prior move. While retracements beyond 50% are less common, this does not necessarily invalidate the setup. From my observations, two distinct patterns emerge. First, a shallow retracement where the stock consolidates within a narrow range, typically pulling back no more than 10% to 20% before continuing its trend. Second, a deeper retracement, often around 50%, followed by a nested move higher before a continuation. For those referencing commonly mentioned values (though not validated), levels such as 23.6%, 38.2%, 44.7%, and 50% align with this range. Additionally, 18% frequently appears as a notable breakout point. However, I strongly advise against relying on precise numbers with conviction due to the natural volatility and randomness inherent in the market. Instead, a more reliable approach is to maintain a broad perspective—for example, recognizing that retracements in the 20% to 50% range are common before a continuation. This approach allows flexibility and helps account for the variability in price action. Projection Tool When there is a swing move either upward or downward, we can utilize the preceding one of the same type for estimation. This approach can be used exclusively since it is applicable for retracements, projections, and range-bound markets as long as there has been a similar price event in recent time. In terms of projection, the most common range is between 60% and 120% of the prior move, with 70% to 100% being more prevalent. It is uncommon for a stock to exceed 130% of the preceding move. Frequently mentioned values in this context include 61.8% and 78.6% as one area, although these values are frequently surpassed. The next two commonly mentioned values are 88.6% and 100%, which are the most frequent and can be used effectively on their own. These values represent a complete measured move, as they closely mimic the magnitude of the prior move with some buffer. The last value, 127%, is also notable, but exceeding this level is less common. Application The simplest application of this information is to input the range of 80% to 100% into the projection tool. Then, measure a similar prior move to estimate the subsequent one. This is known as the measured move. There are no strict rules to follow—it’s more of an art. The key is to measure the most similar move in recent times. If the levels appear unclear or overly complicated, they likely are. The process should remain simple and combined with a discretionary perspective. Interestingly, using parallel channels follows the same principle, as they measure the range per swing and project average volatility. This can provide an alternative yet similar way to estimate price movement based on historical swings. The advantage of this method is its universal and adaptable nature for setting estimates. However, it requires a prior swing move and is most effective in continuation setups. Challenges arise when applying it to the start of a new move, exhaustion points, or structural changes, as these can distort short-term price action. For instance, referencing a prior uptrend to project a downtrend is unlikely to be effective due to the opposing asymmetry in swing moves. In some cases, measured moves from earlier periods can be referenced if the current range is similar. Additionally, higher timeframes take precedence over lower ones when determining projections. This is nothing more than a tool and should be used with a discretionary perspective, as with all indicators and drawing tools. The true edge lies elsewhere. Example Use 1. Structure: Identify an established trend or range and measure a clear swing move. 2. Measured Move: Apply the measurement to the subsequent move by duplicating the line to the next point or using a trend-based Fibonacci extension tool set to 100% of the prior swing. The first two points define the swing move. The third point is placed at the deepest part of the subsequent pullback or at the start of the new move. 3. Interpretation: While this is a simple tool, its effective use and contextual application require experience and practice. Remember, this process relies on approximation and discretionary judgment.
NASDAQ:QQQEducation
by Trader-Shah
12
Trade Review - ALGS When stock showed up in screener showed a bullish continuation pattern on daily timeframe and a potential failure test / pullback on the higher timeframe downtrend, a bit near mean but was added to watchlist. Execution chart. Trade Overview • Structure: Bullish Continuation (D) • Position: Near Mean (D) • Entry Trigger: Breakout (D) Entry Details • Entry Price: 11.13 • Stop Price: 9.38 • Target Price: 12.96 • Expected Risk/Reward: 1.05R Exit Strategy • Exit Price: 14.47 / 1.91R
NASDAQ:ALGSLong
by Trader-Shah
Trade Review - LUNR When found in the screener, the stock showed a decent continuation pattern on the weekly chart. It was added to the watchlist to track a potential move, still were some distance to prior swing high. Execution Chart. Trade Overview • Structure: Bullish Continuation • Position: Near Mean • Entry Trigger: Range Expansion Entry Details • Entry Price: 9.38 • Stop Price: 8.30 • Target Price: 12.36 • Expected Risk/Reward: 2.65 R Exit Strategy • Exit Price: Closed 50% into 1R and rest at 12.18.
NASDAQ:LUNRLong
by Trader-Shah
Trade Review - WEST When the stock showed up on the screener there was a bullish continuation setup on the daily chart and a potential overextension on the higher timeframe downtrend. Thus added to the watchlist to monitor for a move. Execution – Entered late on a debatable Failure Test. Trade Overview • Structure: Bullish Continuation (D) / Downtrend Pullback (W) • Position: Near Mean (D) / Far from Mean (W) • Entry Trigger: Failed Breakdown (Late) Entry Details • Entry Price: 6.90 • Stop Price: 6.40 • Target Price: 8.46 • Expected Risk/Reward: 3.12 R Exit Strategy • Exit Price: Closed 75% of position into 1R and rest hit stop at breakeven.
NASDAQ:WESTLong
by Trader-Shah
Trade Review - NPWR Found this stock on the screener showing a bullish continuation setup on the daily chart. On the higher timeframe downtrend, looked like the pullback had been played out. Despite it was added it to the watchlist to monitor. Execution – Later Entry. Trade Overview • Structure: Bullish Continuation (D) / Bearish Pullback (W) • Position: Near Mean (D) / Near Mean (W) • Entry Trigger: Breakout / Range Expansion Entry Details • Entry Price: 9.92 • Stop Price: 8.91 • Target Price: 12.34 • Expected Risk/Reward: 2.36 R Exit Strategy • Exit Price: Closed 75% at 11.34 and 25% at 12.34.
NYSE:NPWRLong
by Trader-Shah
Trade Review - DNA When this stock was added to the watchlist, it displayed a bullish continuation setup on the daily timeframe. On the higher timeframe, there was also a potential for downside overextension, suggesting a possible pullback within the larger downtrend. On the next chart, executions are shown. In anticipation of the trade, I look for a failed breakout against the trend—a failure test—where the price moves outside the lower boundary of an established consolidation. If it then closes back within the range, I sometimes enter before market close. For these trades, I often close a partial position as the price nears the upper part of the range, in case the range holds without a breakout. Trade Overview • Structure: Bullish Continuation (D) / Bearish Pullback (W) • Position: Near Mean (D) / Extended from Mean (W) • Entry Trigger: Failed Breakout (Opposite to Trend) Entry Details • Entry Price: 7.77 • Stop Price: 6.73 • Target Price (Range): 8.72 • Target Price (Measured Move): 11.62 Exit Strategy • Exit Price: Closed 50% into 9.03 > Rest hit SL at 7.95.
NYSE:DNALong
by Trader-Shah
Trade Review - KRUS This stock was added to the watchlist based on a bullish continuation setup on the daily timeframe (noticeable upward move followed by a pullback or consolidation near the mean price). The higher timeframe, we observed that the stock has been moving within a range, even shown a failed breakdown / failure test to the downside. Its now inside range, without interference. Trade was entered as a breakout. Trade Overview • Structure: Bullish Continuation (D) / Range (W) • Position: Near Mean (D) / Inside Range (W) • Entry Trigger: Breakout Entry Details • Entry Price: 86.45 • Stop Price: 80.50 • Target Price: 103.10 • Expected Risk/Reward: 2.8 R Exit Strategy • Exit: Closed 50% at 1R, rest at or near target price.
NASDAQ:KRUSLong
by Trader-Shah
Trade Review - AIRS Daily chat showed a bullish continuation structure and weekly chart within a larger range (price inside of structure). Above chart shows execution, showed up on active scan instantly but decided to enter with some reservation. Trade Overview • Structure: Bullish Continuation (D) / Range (W) • Position: Near Mean (D) / Inside Range (W) • Entry Trigger: Range Expansion / Breakout Entry Details • Entry Price: 6.42 • Stop Price: 5.54 • Target Price: 7.56 • Expected Risk/Reward: 1.3 R Exit Strategy • Exit Price: Closed all into 7.56 (Measured Move) Performance Summary • Result: 1.3R from a 17.75% move
NASDAQ:AIRSLong
by Trader-Shah
Drop after Election Pump with FOMCMy trading idea for next week is as follows. I will be watching the price action very closely on Monday, the day before the election. This will prepare the price for the volatility of the election. I expect the price to move to the EMA50 on the 1D time frame next week. That would be around $64k. Then there is the FOMC meeting on Thursday, which could lead to a significant rise in the price. Next week is very important. The use of leverage should be taken carefully.
COINBASE:BTCUSDShort
by reports20netrust
3 Standard Deviation Setup on Micro 10-Year Yield FuturesIntroduction The Micro 10-Year Yield Futures contract has caught the attention of many traders recently, as its price action reached the upper 3 standard deviation of the Bollinger Band® in the daily time frame. This rare occurrence presents a potential mean reversion setup, where the price could revert back toward its historical average. This article explores what mean reversion is, why it matters in trading, and how the 3 standard deviation Bollinger Bands® setup may indicate an opportunity to short this market. We’ll also discuss key price levels, contract specifications, and a potential trade setup for shorting Micro 10-Year Yield Futures. What is Mean Reversion in Trading? Mean reversion is a trading concept based on the idea that asset prices fluctuate around a central value or mean over time. When prices move too far away from this mean, they often correct or revert back toward that average. This is particularly useful in markets that experience high volatility or extreme price movements, as those extremes tend to reverse at some point. In simple terms, mean reversion strategies involve selling (or shorting) assets when they are significantly above their historical average, with the expectation that prices will return to normal levels. Conversely, buying when prices are significantly below the mean can also be a valid strategy. The 3 Standard Deviation Bollinger Band® Setup Bollinger Bands® are a popular technical indicator used to measure volatility and price extremes. The bands are plotted a certain number of standard deviations away from a moving average. The further away prices move from the average, the more extreme the movement. Reaching the upper 3 standard deviation Bollinger Band® is a rare occurrence that suggests extreme overbought conditions. Historically, when an asset reaches this level, the likelihood of a price pullback increases, as market participants may see it as an unsustainable level. In the case of Micro 10-Year Yield Futures, the recent rally has pushed prices to this rare zone, setting the scene for a potential mean reversion. Key Price Levels and Resistance Zones As the Micro 10-Year Yield Futures price approaches extreme levels, there are two key resistance zones which traders should be aware of: 4.174-4.021. These levels represent areas where selling pressure might intensify, pushing prices down and aiding in the mean reversion process. Traders looking to capitalize on this potential mean reversion setup can consider initiating short positions within this resistance range. These resistance zones act as psychological and technical barriers, providing an opportunity for traders to place their entries. Additionally, these levels help to manage risk, as they define a clear area to set stop-loss orders just above the upper resistance. Contract Specifications and Margin Requirements Understanding the specifications of the Micro 10-Year Yield Futures contract is crucial for traders looking to execute any trade. Here are some of the key details: Tick Size: The minimum price fluctuation is 0.001, which equates to $1 per tick. Margin Requirements: Margin requirements vary. Currently, the initial margin for Micro Yield Futures is around $320 per contract, making it accessible to a wide range of traders. Check with your broker for specific margin amounts. This knowledge is essential in calculating potential profit and loss in dollar terms, as well as determining the appropriate position size based on your available margin. Trade Setup Example Let’s now move on to a practical trade setup based on the discussed conditions. Entry Point: Shorting Micro 10-Year Yield Futures within the resistance range between 4.174 and 4.021. Stop Loss: A stop should be placed just above the upper resistance, say around 4.175, to protect against further price appreciation. Target: The target for this mean reversion trade would be around the mean of 3.750, where prices are expected to revert based on historical behavior. Reward-to-Risk Calculation: If a short entry is made at 4.021, with a stop at 4.175 (154 basis points risk) and a target at 3.750 (271 ticks potential gain), the reward-to-risk ratio would be approximately 1.76:1. A higher entry point closer to the upper resistance at 4.174 would significantly improve the reward-to-risk ratio, but it also increases the likelihood of missing the entry if the market reverses before reaching that level. In dollar terms, each tick (0.001) is worth $1, so the 154-tick stop loss represents a risk of $154 loss per contract, while the potential reward of 271 ticks equates to $271 worth of gains per contract. Risk Management Considerations Risk management is a critical aspect of any trading strategy, especially in futures trading. While the 3 standard deviation Bollinger Band® setup provides a compelling case for mean reversion, it's essential to manage risk carefully to avoid significant losses. Stop-Loss Orders: A well-placed stop-loss is crucial to protect against unexpected market moves. In this case, placing the stop above the resistance zone (around 4.175) ensures that risk is controlled if the market continues to rally instead of reversing. Position Sizing: Given the volatility of futures contracts, it is important to adjust position sizes according to the trader’s risk tolerance and available margin. Overleveraging can lead to large losses if the market moves against the trade. Moving Averages Can Shift: It’s important to remember that the moving average (the mean) can change as new data comes in. While the target is currently around 3.744, this level may adjust over time, so traders need to monitor the mean as the trade progresses (which is why we have set the target to initially be slightly higher at 3.750). Resistances as Reinforcements: The resistance zone between 4.174 and 4.021 can act as reinforcements to the mean reversion. Traders should observe price behavior at these levels to confirm rejection signals before entering the trade. Conclusion In conclusion, the Micro 10-Year Yield Futures contract presents a unique trading opportunity as it has reached the rare 3 standard deviation Bollinger Band® on the daily time frame. This extreme price level indicates potential overbought conditions, making it a candidate for mean reversion back to the mean at approximately 3.750. The trade setup involves shorting within the resistance range, with a well-defined stop and target, and offers a favorable reward-to-risk ratio. However, as always, caution is advised, and traders should manage risk effectively using stop-loss orders and appropriate position sizing. 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.
CBOT_MINI:10Y1!Education
by traddictiv