ANALYSIS OF THE 5 COINS APPROVED FOR DIGITAL ASSET RESERVE BY THE WHITE HOUSE News: "The White House has officially approved a digital asset reserve fund that includes five cryptocurrencies: BTC, XRP, ADA, ETH, and SOL." For the average investor, this news might trigger excitement—"Wow, great news!"—and create an expectation that these assets will skyrocket to the moon in the near future. But let’s take a deeper dive into these five coins, analyze the technicals, and determine which ones are worth buying, where to buy, and which ones should be avoided for now. Let’s go! -------------------------------- https://www.tradingview.com/x/mtejfJkg/ BTC/USD At first glance, BTC looks tempting. It has already set an ATH at $107K before correcting down to $78K, which seems like a low price point. So, it might be gearing up for another strong upward move. Currently, BTC is trading around $86,000 at the time of writing. However, we’re not at the fireworks yet, people—it’s only the 29th day of the lunar calendar, not New Year's Eve with red banners and festive cakes. In other words, the real pump hasn’t begun yet. BTC is still in a weekly downtrend (W timeframe) and hasn’t fully formed a bottom yet. The key downside targets BTC is likely to revisit include: ✅ $74,000 ✅ $64,000 ✅ $54,000 (less likely in the short term, but possible if market makers push for it). So, BTC will most certainly revisit either GETTEX:64K or $74K before another major rally. Conclusion: ? Buy BTC at GETTEX:64K or $74K and take full profits above $110,000. ----------------------------------- https://www.tradingview.com/x/YFIxA9av/ ETH/USD ETH is currently trading around $2,1XX, which might seem like a decent entry point. But this coin doesn't have a strong outlook for 2025. It is likely heading toward $1,600 soon. More importantly, ETH is not one of the chosen coins to have major pumps this year. ETH is currently in a downward trajectory, so avoid touching it for spot trades. If anything, it’s better suited for shorting in this market structure. Conclusion: ? Avoid ETH for spot positions. --------------------------------------- https://www.tradingview.com/x/SckHgyY9/ SOL/USD Before writing this, SOL was already analyzed as a short opportunity at $186. Looking at the chart, SOL is not a buy, even if it dips to $87 or $113. It is simply not one of the coins set up for a major bullish wave. SOL is just a liquidity trap, used for rotating funds and market-making activities, not for strong rallies. Conclusion: ? Avoid SOL for spot trades. If no better options exist, maybe revisit it later, but it's not the top choice now. ----------------------------------------- https://www.tradingview.com/x/iCvSRMh2/ XRP/USD XRP is currently at an attractive price zone, making it worth considering for a buy. Capital inflows into XRP are strong and positive, which suggests momentum is building up for a potential rally. Among the five selected coins, XRP stands out with a solid rating of 9+, along with ADA and BTC. Conclusion: ✅ Enter XRP for a new bullish wave. --------------------------------------------- https://www.tradingview.com/x/64iXKN84/ ADA/USD ADA has been in accumulation mode, and while its macro trend is not entirely clear, it has strong potential. Among these five coins, ADA shows significant promise for capital allocation at this moment. It might just become the "beauty queen" of short-term rallies, and if so, a high-risk investment could turn into something very rewarding. Conclusion: ✅ Allocate a speculative investment in ADA, hold through 2025, and wait for the results. ------------------------------------------------ Final Verdict: These 5 coins have been officially selected for digital asset reserves, but only 3 out of 5 are truly worth considering: ✅ BTC (at GETTEX:64K –$74K, target above $110K) ✅ XRP (solid bullish structure) ✅ ADA (high-risk, high-reward potential) ? ETH and SOL are traps—they may have short-term pumps, but their overall trajectory is downward. BTC will eventually revisit GETTEX:54K , which could cause another temporary market downturn, but the length of that phase is uncertain. This perspective is based on a mapping approach using data from rainbowsniper.ai, providing a fresh angle for analysis. Hope this gives you a useful and insightful perspective! ?
Technical Analysis and Outlook: In the preliminary phase of the Inner Currency Rally, the Euro achieved a significant milestone of 1.060 during the current week's trading session. Demonstrating an unprecedented surge in "dead-cat rally" sentiment, it subsequently completed our next targeted level of Inner Currency Rally of 1.086. As a result, the market has established a Mean Support target at 1.077, which the ongoing pullback indicates may be the next point of focus. This price movement may also lead to a further decline toward an additional Mean Support level of 1.057. Conversely, should the anticipated downward trend fail to materialize, the Eurodollar may initiate an upward trend toward the Mean Resistance level of 1.091. This movement could aim for the ultimate Outer Currency Rally level of 1.124 in the near future.
You can short GoldMini with SL - 86315 LTP - 85870 Target - 84083 R:R - 1:4
Technical Analysis and Outlook: In the trading session for this week, we observed significant volatility characterized by considerable fluctuations, ultimately culminating in the completion of the coin Interim Coin Rally 94500. The coin experienced a substantial increase, reaching our Mean Resistance level of 92600, before encountering a steep pullback that resulted in its stabilization at the starting point of Mean Support of 84700. This upward fluctuation indicates a potential for higher prices and suggests a likelihood of retesting the target Mean Resistance levels at 90600, coinciding with the conclusion of Interim Coin Rally 94500. Nonetheless, a retest of the Key Support level at 79000 and the completed of the Outer Coin Dip 78700 may occur prior to any further upward momentum.
You should not panic during this dip; rather, you should understand what is causing it and how to benefit from it. This dip came due to the underwhelming American Strategic Bitcoin Reserve and Digital Asset Stockpile. The US government basically said they won't sell their CRYPTOCAP:BTC and won't buy more, at least for now. CRYPTOCAP:BTC closed below $87.3k yesterday (yellow line), and this suggests there may be some short-term downside. However, this dip has made many altcoins very cheap, and it is a great time to look for strength as we wait for the next trend to emerge. It is also worth noting the macro environment (excluding tariffs and the trade war FUD) is turning in our favor! So use this time to research and position yourself for the next leg up because THIS BULL RUN IS NOT OVER!
As you can see on chart that I have pointed out every single point and reversal area forsolusdt. Its shortterm support line is at 120$. And if it lost then we can go lower to the 89-84 area which is our major DEMAND ZONE.
Market Overview: Gold (XAU/USD) is currently trading around $2,910, showing a slight decline of -0.05% on the daily timeframe. The market has been in a strong uptrend, breaking previous structures and forming higher highs and higher lows. However, the current price action suggests a potential pullback before another bullish continuation. Key Technical Observations: 1. Resistance & Strong Resistance Zone ($2,950 - $3,000+) The price has reached a strong resistance zone near the $3,000 psychological level, where selling pressure is evident. A weak high has been marked, indicating that buyers may attempt to break this level, but sellers could push the price down before any significant breakout. If price successfully closes above this resistance, it could trigger further bullish momentum towards $3,100 or higher. 2. Support and Demand Zone ($2,750 - $2,800) The demand zone between $2,750 and $2,800 has historically acted as a strong support level. This zone aligns with previous price accumulation and a key structural support level. A pullback to this area could present buying opportunities, as institutional buyers may step in. 3. Market Structure and Breaks of Structure (BOS) & Change of Character (ChoCH) Multiple Change of Character (ChoCH) points have been noted, signaling shifts in momentum. The Break of Structure (BOS) suggests a continuation of the prevailing bullish trend, with minor corrections along the way. The most recent ChoCH indicates a potential short-term bearish retracement before a continuation to the upside. 4. Strong Low and Potential Support Levels ($2,500 - $2,600) The strong low is marked below $2,500, which acts as a long-term support zone. If the demand zone at $2,750 - $2,800 fails, the next major support area lies around $2,600. However, given the overall bullish trend, a drop to these levels would likely be short-lived unless macroeconomic factors shift significantly. Potential Price Scenarios: ? Bullish Scenario (Primary Outlook) Price may retrace towards the $2,750 - $2,800 demand zone. If buyers defend this level, we can expect a bullish reversal towards $2,950 - $3,000 resistance. A strong breakout above $3,000 would likely trigger further upside momentum towards $3,100+. ? Bearish Scenario (Alternative Outlook) If sellers take control and push price below the $2,750 support, further downside could follow. In this case, the next major support levels would be $2,600 - $2,650, where buyers may re-enter. A breakdown below $2,500 would signal a shift in long-term market structure, invalidating the bullish trend. Trading Plan & Strategy: ✅ For Long Entries: Look for bullish price action (e.g., pin bars, bullish engulfing candles) in the $2,750 - $2,800 demand zone. Target $2,950 - $3,000 as the first take-profit level. If price breaks above $3,000, hold positions for a move towards $3,100 or higher. ❌ For Short Entries: If price struggles to break above $3,000, short positions can be considered with stop losses above resistance. Targets for short trades: $2,800 (first TP), $2,650 (second TP). Final Thoughts About Trend: Gold remains in a strong bullish trend, but a short-term retracement could be expected before the next rally. Traders should focus on key levels like $2,750 - $2,800 support and $3,000 resistance to confirm the next move. Watch for confirmation signals before entering trades. ??
This is a bullish trade setup for Bitcoin (BTC/USDT) on the 1-hour timeframe, published on TradingView. Trade Setup Details: Entry: Around 85,800 - 85,940 (Buy signal with an upward arrow) Stop Loss (SL): ~84,931 (Marked in red) Take Profit (TP): ~88,039 (Marked in blue) Risk-to-Reward Ratio: Favorable (approximately 1:2 or better), meaning the upside potential outweighs the downside risk. Key Observations: 1. Support Zone: BTC seems to be bouncing from a local support level around 85,800. 2. Potential Resistance: First major target at 88,000, a key psychological level. 3. Market Structure: If BTC holds above 85,800, it could signal bullish continuation toward 88,000. Would you like further confirmation with indicators like RSI, MACD, or moving averages?
https://www.tradingview.com/chart/JYsjnmFD/ Template Name:XGBoost Approx Core Idea: This strategy attempts to mimic the output of an XGBoost model (a powerful machine learning algorithm) by combining several common technical indicators with the Rate of Change (ROC) , MACD, RSI and EMA across multiple timeframes. It uses a weighted sum of normalized indicators to generate a "composite indicator," and trades based on this indicator crossing predefined thresholds. The multi-timeframe ROC acts as a trend filter. Key Features and How They Work: Multi-Timeframe Analysis (MTF): This is the heart of the strategy. It looks at the price action on three different timeframes: Trading Timeframe (tradingTF): The timeframe you're actually placing trades on (e.g., 1-minute, 5-minute, 1-hour, etc.). You set this directly in the strategy's settings. This is the most important timeframe. Lower Timeframe (selectedLTF): A timeframe lower than your trading timeframe. Used to catch early signs of trend changes. The script automatically selects an appropriate lower timeframe based on your trading timeframe. This is primarily used for a more sensitive ROC filter. Current Timeframe (tradingTF): The strategy uses the current (trading) timeframe, to include it in the ROC filter. Higher Timeframe (selectedHTF): A timeframe higher than your trading timeframe. Used to confirm the overall trend direction. The script automatically selects this, too. This is the "big picture" timeframe. The script uses request.security to get data from these other timeframes. The lookahead=barmerge.lookahead_on part is important; it prevents the strategy from "peeking" into the future, which would make backtesting results unrealistic. Indicators Used: SMA (Simple Moving Average): Smooths out price data. The strategy calculates a normalized SMA, which essentially measures how far the current SMA is from its own average, in terms of standard deviations. RSI (Relative Strength Index): An oscillator that measures the speed and change of price movements. Normalized similarly to the SMA. MACD (Moving Average Convergence Divergence): A trend-following momentum indicator. The strategy uses the difference between the MACD line and its signal line, normalized. ROC (Rate of Change): Measures the percentage change in price over a given period (defined by rocLength). This is the key indicator in this strategy, and it's used on all three timeframes. Volume: The strategy considers the change in volume, also normalized. This can help identify strong moves (high volume confirming a price move). Normalization: Each indicator is normalized. This is done by subtracting the indicator's average and dividing by its standard deviation. Normalization puts all the indicators on a similar scale (roughly between -3 and +3, most of the time), making it easier to combine them with weights. Weights: The strategy uses weights (e.g., weightSMA, weightRSI, etc.) to determine how much influence each indicator has on the final "composite indicator." These weights are crucial for the strategy's performance. You can adjust them in the strategy's settings. Composite Indicator: This is the weighted sum of all the normalized indicators. It's the strategy's main signal generator. Thresholds: The buyThreshold and sellThreshold determine when the strategy enters a trade. When the composite indicator crosses above the buyThreshold, it's a potential buy signal. When it crosses below the sellThreshold, it's a potential sell signal. Multi-Timeframe ROC Filter: The strategy uses a crucial filter based on the ROC on all selected timeframes. For a long trade, the ROC must be positive on all three timeframes (ltf_roc_long, ctf_roc_long, htf_roc_long must all be true). For a short trade, the ROC must be negative on all three timeframes. This is a strong trend filter. Timeframe Filter Selection The script intelligently chooses filter timeframes (selectedLTF, selectedHTF) based on the tradingTF you select. This is done by the switch_filter_timeframes function: Trading Timeframe (tradingTF) Lower Timeframe Filter (selectedLTF) Higher Timeframe Filter (selectedHTF) 1 minute 60 minutes (filterTF1) 60 minutes (filterTF1) 5 minute 240 minutes (filterTF2) 240 minutes (filterTF2) 15 minute 240 minutes (filterTF2) 240 minutes (filterTF2) 30 minute, 60 minute 1 Day (filterTF3) 1 Day (filterTF3) 240 minute (4 hour) 1 Week (filterTF4) 1 Week (filterTF4) 1 Day 1 Month (filterTF5) 1 Month (filterTF5) 1 Week 1 Month (filterTF5) 1 Month (filterTF5) How to Use and Optimize the Strategy (Useful Hints): Backtesting: Always start by backtesting on historical data. TradingView's Strategy Tester is your best friend here. Pay close attention to: Net Profit: The most obvious metric. Max Drawdown: The largest peak-to-trough decline during the backtest. This tells you how much you could potentially lose. Profit Factor: Gross profit divided by gross loss. A value above 1 is desirable. Win Rate: The percentage of winning trades. Sharpe Ratio: Risk-adjusted return. A Sharpe Ratio above 1 is generally considered good. **Sortino Ratio:**Similar to Sharpe but it only takes the standard deviation of the downside risk. Timeframe Selection: Experiment with different tradingTF values. The strategy's performance will vary greatly depending on the timeframe. Consider the asset you're trading (e.g., volatile crypto vs. a stable stock index). The preconfigured filters are a good starting point. Weight Optimization: This is where the real "tuning" happens. The default weights are just a starting point. Here's a systematic approach: Start with the ROC Weights: Since this is a ROC-focused strategy, try adjusting weightROC_LTF, weightROC_CTF, and weightROC_HTF first. See if increasing or decreasing their influence improves results. Adjust Other Weights: Then, experiment with weightSMA, weightRSI, weightMACD, and weightVolume. Try setting some weights to zero to see if simplifying the strategy helps. Use TradingView's Optimization Feature: The Strategy Tester has an optimization feature (the little gear icon). You can tell it to test a range of values for each weight and see which combination performs best. Be very careful with optimization. It's easy to overfit to past data, which means the strategy will perform poorly in live trading. Walk-Forward Optimization: A more robust form of optimization. Instead of optimizing on the entire dataset, you optimize on a smaller "in-sample" period, then test on a subsequent "out-of-sample" period. This helps prevent overfitting. TradingView doesn't have built-in walk-forward optimization, but you can do it manually. Threshold Adjustment: Experiment with different buyThreshold and sellThreshold values. Making them more extreme (further from zero) will result in fewer trades, but potentially higher-quality signals. Filter Control (useLTFFilter, useCTFFilter, useHTFFilter): These booleans allow you to enable or disable the ROC filters for each timeframe. You can use this to simplify the strategy or test the importance of each filter. For example, you could try disabling the lower timeframe filter (useLTFFilter = false) to see if it makes the strategy more robust. Asset Selection: This strategy may perform better on some assets than others. Try it on different markets (stocks, forex, crypto, etc.) and different types of assets within those markets. Risk Management: pyramiding = 0: This prevents the strategy from adding to existing positions. This is generally a good idea for beginners. default_qty_type = strategy.percent_of_equity and default_qty_value = 100: This means the strategy will risk 100% of your equity on each trade. This is extremely risky! Change this to a much smaller percentage, like 1 or 2. You should never risk your entire account on a single trade. Save Trading Always use a demo account first. Use a small percentage of equity. Use a stop-loss and take-profit orders. Example Optimization Workflow: Set tradingTF: Choose a timeframe, e.g., 15 (15 minutes). Initial Backtest: Run a backtest with the default settings. Note the results. Optimize ROC Weights: Use TradingView's optimization feature to test different values for weightROC_LTF, weightROC_CTF, and weightROC_HTF. Keep the other weights at their defaults for now. Optimize Other Weights: Once you have a good set of ROC weights, optimize the other weights one at a time. For example, optimize weightSMA, then weightRSI, etc. Adjust Thresholds: Experiment with different buyThreshold and sellThreshold values. Out-of-Sample Testing: Take the best settings from your optimization and test them on a different period of historical data (data that wasn't used for optimization). This is crucial to check for overfitting. Filter Testing: Systematically enable/disable the time frame filters (useLTFFilter, useCTFFilter, useHTFFilter) to see how each impacts performance.