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Multi-Timeframe XGBoost Approximation Templatewww.tradingview.com 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.
by fenyesk
CAD/JPY Analysis – Key Levels & Market Drivers📉 Bearish Context & Key Resistance Levels: Major Resistance at 108.32 Price previously rejected from this strong supply zone. Moving averages (yellow & red lines) are acting as dynamic resistance. Short-term Resistance at 106.00-107.00 Failed bullish attempt, leading to a strong reversal. A break above this area is needed to shift momentum bullishly. 📈 Bullish Context & Key Support Levels: Support at 102.00-101.50 (Demand Zone) Significant buyer interest in this area. If the price reaches this zone, a potential bounce could occur. Deeper Support at 99.00-100.00 If 102.00 fails, the next demand level is in the high 90s, marking a critical long-term support. 📉 Current Market Outlook: CAD/JPY is in a strong downtrend, consistently making lower highs and lower lows. The price is testing key support areas, and further movement depends on upcoming economic events. A potential bounce could occur at 102.00, but failure to hold could trigger further declines toward 99.00. 📰 Fundamental Analysis & Market Drivers 🔹 Bank of Canada (BoC) Interest Rate Decision – March 12, 2025 Expected rate cut from 3.00% to 2.75% → Bearish for CAD. A dovish stance signals weakness in the Canadian economy, potentially pushing CAD/JPY lower. If the BoC provides an aggressive rate cut or hints at further easing, the downtrend could continue. 🔹 Japan Current Account (January) – March 7, 2025 Expected at 370B JPY (significantly lower than previous 1077.3B JPY). A lower-than-expected surplus may weaken JPY, slightly offsetting CAD weakness. If JPY remains strong despite this data, CAD/JPY could fall further toward 101.50-100.00. 📈 Potential Trading Setups: 🔻 Short Setup (Bearish Bias): Entry: Below 103.00, confirming further weakness. Target 1: 102.00 Target 2: 100.00 Stop Loss: Above 104.50 to avoid volatility spikes. 🔼 Long Setup (Bullish Scenario - Retracement Play): Entry: Strong bullish rejection from 102.00 Target 1: 105.00 Target 2: 108.00 Stop Loss: Below 101.50 to limit downside risk. 📌 Final Thoughts: The BoC rate decision will likely be bearish for CAD, increasing downward pressure on CAD/JPY. The Japan Current Account data could provide temporary support for JPY but is unlikely to fully reverse the trend. 102.00-101.50 is a key buying zone, while failure to hold could drive the pair toward 99.00-100.00. 🚨 Key Watch Zones: 102.00 Support & 108.00 Resistance – Strong moves expected!
Long
by EdgeTradingJourney
1
USDJPY STRONG FALLING OPPORTUNITY 1. 144.00 Support May Hold Strong The analysis assumes 144.00 will break, but this is a key psychological and historical support level. If buyers step in, USD/JPY could reverse back up instead of continuing downward. 2. Rebound Towards 150.00 Possible Instead of a lower low, USD/JPY could bounce off intermediate demand zones and attempt a retest of resistance at 150.00. US economic strength (inflation, interest rates) could support the dollar and invalidate the downtrend. 3. Lower Highs are Not Confirmed Yet If the price stays above 146.50, the trend could shift back bullish, disrupting the bearish projection. Lack of strong selling pressure near 147.00-146.00 could mean the market is undecided rather than fully bearish 4. Macroeconomic Factors Favor USD Strength If Bank of Japan (BoJ) remains dovish and the Fed keeps rates high, USD/JPY might resume its uptrend instead of falling
Long
by mrsamfx81
3
ETHUSD SURELY BULLISH 1. Support at 2130 May Fail The chart assumes a bounce from 2130 support, but if ETH breaks below this level, it could trigger further liquidations and push price toward 2000 or lower. Bearish divergence or weakening buy volume could signal a lack of strength. 2. Resistance at 2800 May Hold Strong The projection suggests ETH will reach 2800, but this could be a strong supply zone where sellers step in. If ETH struggles around 2400-2500, we might see a reversal instead of a breakout. 3. Lower High Formation If ETH fails to break above previous highs (~2265+), it could signal a lower high, leading to a downtrend continuation rather than a rally. Rejection near 2300-2400 might confirm a bearish structure. 4. Macroeconomic & Market Risks If Bitcoin corrects or macro factors (rate hikes, regulatory news, or stock market weakness) pressure crypto markets, ETH might struggle to sustain upside momentum
BITSTAMP:ETHUSDLong
by mrsamfx81
XAUUSD strong bullish 1. (Xauusd)Support at 2900 May Not Hold The chart suggests a bounce from the 2900 support area, but if market sentiment weakens, we could see a breakdown below 2900 instead of a recovery. If this happens, gold might dip further toward 2850 or even 2800 before regaining strength. 2. Trendline Breakdown is Possible There's an upward trendline acting as dynamic support, but multiple touches increase the chance of a breakdown rather than a continuation. A confirmed break below this trendline could lead to bearish momentum rather than a push higher. 3. Resistance May Be Stronger Than Expected The analysis suggests a move toward 2960-3000, but these levels could act as a strong resistance instead of a breakout zone. Failure to break 2960 might trigger another sell-off back toward 2900 or lower. 4. Macroeconomic Factors Could Shift Bias If the US Dollar strengthens or bond yields rise, gold could struggle to gain momentum, invalidating the bullish outlook
FOREXCOM:XAUUSDLong
by mrsamfx81
1
Btcusd analysis 1. Support May Hold – The chart suggests a drop to the support area (around $75K-$77K), but strong demand in that region could lead to a rebound instead of a further decline. 2. Higher Low Formation – If BTC stays above $80K and forms a higher low, the bearish breakdown may be invalidated, leading to another push toward resistance ($95K). 3. Liquidity Grab Above Resistance – The market might break above the resistance zone instead of rejecting it. A breakout beyond $95K could trigger a bullish rally toward $100K+. 4. Market Sentiment & Fundamentals – If BTC fundamentals remain strong (ETF inflows, institutional buying, positive macro factors), short-term technical patterns might be overridden by larger buying pressure
BITSTAMP:BTCUSDLong
by mrsamfx81
XAU/USD Analysis & Market Insights📉 Bearish Context & Key Resistance Levels: Major Resistance at 2,934.00 Strong supply zone where price has previously rejected. Multiple tests of this area indicate seller pressure. Short-term Resistance at 2,920-2,925 Price is consolidating near this zone. A rejection could lead to a downward move. 📈 Bullish Context & Key Support Levels: Support at 2,846.88 - 2,832.72 (Demand Zone) Strong reaction zone where buyers stepped in. Previous price action suggests liquidity in this area. Deeper Support at 2,720-2,680 If 2,832 breaks, this is the next key demand area. Aligned with moving averages, adding confluence. 📉 Current Market Outlook: Price recently bounced from the 2,846-2,832 support, showing buyers’ presence. However, the 2,920-2,925 area is acting as resistance. If the price fails to break higher, a move back toward 2,846 or even 2,720 is possible. 📈 Potential Trading Setups: 🔻 Short Setup (Bearish Bias): Entry: Below 2,920 after a clear rejection. Target 1: 2,846 Target 2: 2,832, with possible extension to 2,720. Stop Loss: Above 2,935 to avoid fakeouts. 🔼 Long Setup (Bullish Scenario): Entry: Break and hold above 2,934.00 with confirmation. Target 1: 2,960 Target 2: 3,000+ Stop Loss: Below 2,915 to minimize risk. 📰 Fundamental Analysis & Market Drivers 1️⃣ US ISM Services PMI & ADP Jobs Report: The ISM Services PMI increased to 53.5, signaling stronger services inflation and employment. However, the ADP Employment Report showed a disappointing 77K jobs, far below the expected 140K, weighing on the USD. 2️⃣ Trump’s Tariffs & USD Weakness: Trump announced massive tariffs on trade partners, affecting risk sentiment. While he downplayed negative effects, US Commerce Secretary Howard Lutnick hinted at potential tariff rollbacks, boosting risk appetite. This weakened the USD, allowing gold to rise. 3️⃣ Upcoming ECB Decision: The ECB is expected to cut rates by 25 bps on Thursday, which could further impact market sentiment and gold’s direction. If the rate cut weakens the EUR, gold could see more upside. 📌 Final Thoughts: 2,920-2,925 remains a key resistance for short-term direction. A break above 2,934 could signal bullish continuation. A rejection from current levels could push price back toward 2,846 or lower. Fundamentals favor gold's strength as the USD weakens due to poor job data and trade uncertainty. 🚀 Key Decision Zone: Watch price action near 2,920-2,925!
OANDA:XAUUSDShort
by EdgeTradingJourney
1
Effective inefficiencyStop-Loss. This combination of words sounds like a magic spell for impatient investors. It's really challenging to watch your account get smaller and smaller. That's why people came up with this magic amulet. Go to the market, don't be afraid, just put it on. Let your profits run, but limit your losses - place a Stop-Loss order. Its design is simple: when the paper loss reaches the amount agreed upon with you in advance, your position will be closed. The paper loss will become real. And here I have a question: “ Does this invention stop the loss? ” It seems that on the contrary - you take it with you. Then it is not a Stop-Loss, but a Take-Loss. This will be more honest, but let's continue with the classic name. Another thing that always bothered me was that everyone has their own Stop-Loss. For example, if a company shows a loss, I can find out about it from the reports. Its meaning is the same for everyone and does not depend on those who look at it. With Stop-Loss, it's different. As many people as there are Stop-Losses. There is a lot of subjectivity in it. For adherents of fundamental analysis, all this looks very strange. I cannot agree that I spent time researching a company, became convinced of the strength of its business, and then simply quoted a price at which I would lock in my loss. I don't think Benjamin Graham would approve either. He knew better than anyone that the market loved to show off its madness when it came to stock prices. So Stop-Loss is part of this madness? Not quite so. There are many strategies that do not rely on fundamental analysis. They live by their own principles, where Stop-Loss plays a key role. Based on its size relative to the expected profit, these strategies can be divided into three types. Stop-Loss is approximately equal to the expected profit size This includes high-frequency strategies of traders who make numerous trades during the day. These can be manual or automated operations. Here we are talking about the advantages that a trader seeks to gain, thanks to modern technical means, complex calculations or simply intuition. In such strategies, it is critical to have favorable commission conditions so as not to give up all the profits to maintaining the infrastructure. The size of profit and loss per trade is approximately equal and insignificant in relation to the size of the account. The main expectation of a trader is to make more positive trades than negative ones. Stop-Loss is several times less than the expected profit The second type includes strategies based on technical analysis. The number of transactions here is significantly less than in the strategies of the first type. The idea is to open an interesting position that will show enough profit to cover several losses. This could be trading using chart patterns, wave analysis, candlestick analysis. You can also add buyers of classic options here. Stop-Loss is an order of magnitude greater than the expected profit The third type includes arbitrage strategies, selling volatility. The idea behind such strategies is to generate a constant, close to fixed, income due to statistically stable patterns or extreme price differences. But there is also a downside to the coin - a significant Stop-Loss size. If the system breaks down, the resulting loss can cover all the earned profit at once. It's like a deposit in a dodgy bank - the interest rate is great, but there's also a risk of bankruptcy. Reflecting on these three groups, I formulated the following postulate: “ In an efficient market, the most efficient strategies will show a zero financial result with a pre-determined profit to loss ratio ”. Let's take this postulate apart piece by piece. What does efficient market mean? It is a stock market where most participants instantly receive information about the assets in question and immediately decide to place, cancel or modify their order. In other words, in such a market, there is no lag between the appearance of information and the reaction to it. It should be said that thanks to the development of telecommunications and information technologies, modern stock markets have significantly improved their efficiency and continue to do so. What is an effective strategy ? This is a strategy that does not bring losses. Profit to loss ratio is the result of profitable trades divided by the result of losing trades in the chosen strategy, considering commissions. So, according to the postulate, one can know in advance what this ratio will be for the most effective strategy in an effective market. In this case, the financial result for any such strategy will be zero. The formula for calculating the profit to loss ratio according to the postulate: Profit : Loss ratio = %L / (100% - %L) Where %L is the percentage of losing trades in the strategy. Below is a graph of the different ratios of the most efficient strategy in an efficient market. For example, if your strategy has 60% losing trades, then with a profit to loss ratio of 1.5:1, your financial result will be zero. In this example, to start making money, you need to either reduce the percentage of losing trades (<60%) with a ratio of 1.5:1, or increase the ratio (>1.5), while maintaining the percentage of losing trades (60%). With such improvements, your point will be below the orange line - this is the inefficient market space. In this zone, it is not about your strategy becoming more efficient, you have simply found inefficiencies in the market itself. Any point above the efficient market line is an inefficient strategy . It is the opposite of an effective strategy, meaning it results in an overall loss. Moreover, an inefficient strategy in an efficient market makes the market itself inefficient , which creates profitable opportunities for efficient strategies in an inefficient market. It sounds complicated, but these words contain an important meaning - if someone loses, then someone will definitely find. Thus, there is an efficient market line, a zone of efficient strategies in an inefficient market, and a zone of inefficient strategies. In reality, if we mark a point on this chart at a certain time interval, we will get rather a cloud of points, which can be located anywhere and, for example, cross the efficient market line and both zones at the same time. This is due to the constant changes that occur in the market. It is an entity that evolves together with all participants. What was effective suddenly becomes ineffective and vice versa. For this reason, I formulated another postulate: “ Any market participant strives for the effectiveness of his strategy, and the market strives for its own effectiveness, and when this is achieved, the financial result of the strategy will become zero ”. In other words, the efficient market line has a strong gravity that, like a magnet, attracts everything that is above and below it. However, I doubt that absolute efficiency will be achieved in the near future. This requires that all market participants have equally fast access to information and respond to it effectively. Moreover, many traders and investors, including myself, have a strong interest in the market being inefficient. Just like we want gravity to be strong enough that we don't fly off into space from our couches, but gentle enough that we can visit the refrigerator. This limits or delays the transfer of information to each other. Returning to the topic of Stop-Loss, one should pay attention to another pattern that follows from the postulates of market efficiency. Below, on the graph (red line), you can see how much the loss to profit ratio changes depending on the percentage of losing trades in the strategy. For me, the values located on the red line are the mathematical expectation associated with the size of the loss in an effective strategy in an effective market. In other words, those who have a small percentage of losing trades in their strategy should be on guard. The potential loss in such strategies can be several times higher than the accumulated profit. In the case of strategies with a high percentage of losing trades, most of the risk has already been realized, so the potential loss relative to the profit is small. As for my attitude towards Stop-Loss, I do not use it in my stock market investing strategy. That is, I don’t know in advance at what price I will close the position. This is because I treat buying shares as participating in a business. I cannot accept that when crazy Mr. Market knocks on my door and offers a strange price, I will immediately sell him my shares. Rather, I would ask myself, “ How efficient is the market right now and should I buy more shares at this price? ” My decision to sell should be motivated not only by the price but also by the fundamental reasons for the decline. For me, the main criterion for closing a position is the company's profitability - a metric that is the same for everyone who looks at it. If a business stops being profitable, that's a red flag. In this case, the time the company has been in a loss-making state and the size of the losses are considered. Even a great company can have a bad quarter for one reason or another. In my opinion, the main work with risks should take place before the company gets into the portfolio, and not after the position is opened. Often it doesn't even involve fundamental business analysis. Here are four things I'm talking about: - Diversification. Distribution of investments among many companies. - Gradually gaining position. Buying stocks within a range of prices, rather than at one desired price. - Prioritization of sectors. For me, sectors of stable consumer demand always have a higher priority than others. - No leverage. I propose to examine the last point separately. The thing is that the broker who lends you money is absolutely right to be afraid that you won’t pay it back. For this reason, each time he calculates how much his loan is secured by your money and the current value of the shares (that is, the value that is currently on the market). Once this collateral is not enough, you will receive a so-called margin call . This is a requirement to fund an account to secure a loan. If you fail to do this, part of your position will be forcibly closed. Unfortunately, no one will listen to the excuse that this company is making a profit and the market is insane. The broker will simply give you a Stop-Loss. Therefore, leverage, by its definition, cannot be used in my investment strategy. In conclusion of this article, I would like to say that the market, as a social phenomenon, contains a great paradox. On the one hand, we have a natural desire for it to be ineffective, on the other hand, we are all working on its effectiveness. It turns out that the income we take from the market is payment for this work. At the same time, our loss can be represented as the salary that we personally pay to other market participants for their efficiency. I don't know about you, but this understanding seems beautiful to me.
NASDAQ:TSLAEducation
by Be_Capy
[03/03] SPY GEX Analysis (Until Friday Expiration)Overall Sentiment: Currently, there’s a positive GEX sentiment, suggesting an optimistic start to the week following Friday’s bounce. However, the key Call resistance appears at 600, and it may not break on the first attempt. If optimism remains strong, there’s a chance SPY 0.09%↑ could still push above that zone after some initial back-and-forth. 🟢Upside Levels: 600–605 Zone: This is a major resistance area. Should SPY move decisively through 600/605, the next potential target could be 610. 610: This is currently the largest positive GEX zone for the week. Current option pricing suggests only about a 9% chance of closing at or above 610 by Friday, so it might require a particularly strong move to break through. 🔵 Transition Zone: Roughly 592–599. The gamma flip level is near 592, and staying above that keeps the market in a positive gamma range for now. 🔴 Downside Risk: If 592 Fails (or HVL climbing up during the week, and after that HVL fails…): A drop could accelerate toward 585, which may act as the first take-profit zone for bears. Below that, 580 could be in play if selling intensifies. Lower Support: 575 is the last strong support mentioned, but current option probabilities suggest about an 88% chance of finishing above that level, making a move below 575 less likely—though still possible given the higher put skew. 🟣Volatility & Skew: IVR (Implied Volatility Rank) is quite high on SPY, with a notable put pricing skew (around 173.1%). This heightened put skew indicates the market is pricing in faster, more volatile downward moves compared to upside.
AMEX:SPY
by TanukiTrade
1
MSTR IS JUST GETTING STARTED - ONLY FOOLS SELL NOW!MSTR and Bitcoin are gearing up for the biggest bull run you've ever seen. Its unbelievable how many people are selling now thinking the bear market is starting and the bull run is over. Its crazy how many bears are flooding X and other platforms. It makes me laugh people calling Saylor a top signal and stupid. Saylor is not stupid and to think that you're smarter than him is just dumb. These rich dudes and hedge funds know whats going on, way better than anyone on here or any other platform. They control the markets, they have the money to make the charts do what they want. Dont be fooled. None of this is financial advice. Just my opinion. Follow me for more charts and updates.
NASDAQ:MSTRLong
by Bitgolder
11
How to develop a simple Buy&Sell strategy using Pine ScriptIn this article, will explain how to develop a simple backtesting for a Buy&Sell trading strategy using Pine Script language and simple moving average (SMA). Strategy description The strategy illustrated works on price movements around the 200-period simple moving average (SMA). Open long positions when the price crossing-down and moves below the average. Close position when the price crossing-up and moves above the average. A single trade is opened at a time, using 5% of the total capital. Behind the code Now let's try to break down the logic behind the strategy to provide a method for properly organizing the source code. In this specific example, we can identify three main actions: 1) Data extrapolation 2) Researching condition and data filtering 3) Trading execution 1. GENERAL PARAMETERS OF THE STRATEGY First define the general parameters of the script. Let's define the name. "Buy&Sell Strategy Template " Select whether to show the output on the chart or within a dashboard. In this example will show the output on the chart. overlay = true Specify that a percentage of the equity will be used for each trade. default_qty_type = strategy.percent_of_equity Specify percentage quantity to be used for each trade. Will be 5%. default_qty_value = 5 Choose the backtesting currency. currency = currency.EUR Choose the capital portfolio amount. initial_capital = 10000 Let's define percentage commissions. commission_type = strategy.commission.percent Let's set the commission at 0.07%. commission_value = 0.07 Let's define a slippage of 3. slippage = 3 Calculate data only when the price is closed, for more accurate output. process_orders_on_close = true 2. DATA EXTRAPOLATION In this second step we extrapolate data from the historical series. Call the calculation of the simple moving average using close price and 200 period bars. sma = ta.sma(close, 200) 3. DEFINITION OF TRADING CONDITIONS Now define the trading conditions. entry_condition = ta.crossunder(close, sma) The close condition involves a bullish crossing of the closing price with the average. exit_condition = ta.crossover(close, sma) 4. TRADING EXECUTION At this step, our script will execute trades using the conditions described above. if (entry_condition==true and strategy.opentrades==0) strategy.entry(id = "Buy", direction = strategy.long, limit = close) if (exit_condition==true) strategy.exit(id = "Sell", from_entry = "Buy", limit = close) 5. DESIGN In this last step will draw the SMA indicator, representing it with a red line. plot(sma, title = "SMA", color = color.red) Complete code below. //@version=6 strategy( "Buy&Sell Strategy Template ", overlay = true, default_qty_type = strategy.percent_of_equity, default_qty_value = 5, currency = currency.EUR, initial_capital = 10000, commission_type = strategy.commission.percent, commission_value = 0.07, slippage = 3, process_orders_on_close = true ) sma = ta.sma(close, 200) entry_condition = ta.crossunder(close, sma) exit_condition = ta.crossover(close, sma) if (entry_condition==true and strategy.opentrades==0) strategy.entry(id = "Buy", direction = strategy.long, limit = close) if (exit_condition==true) strategy.exit(id = "Sell", from_entry = "Buy", limit = close) plot(sma, title = "SMA", color = color.red) The completed script will display the moving average with open and close trading signals. IMPORTANT! Remember, this strategy was created for educational purposes only. Not use it in real trading.
Education
by thequantscience
ETHUSD WEEKLY CHARTS (ETHUSD)Alternative (Bullish) Analysis 1. Potential Breakout Above 2835 Resistance The current analysis assumes Ethereum will reject from the 2835 resistance and drop back to 2146. However, given the strong upward momentum (+13.46%), ETH could break above 2835 instead of reversing. A daily close above 2835 could trigger a rally toward 3000+. 2. Support Holding at Higher Levels Instead of expecting a drop to 2146, ETH may form a higher low around 2400 – 2500, which would confirm bullish continuation. If it retests 2500 and holds, it could bounce back up toward the resistance and push higher. 3. Volume & Momentum Confirmation The sharp breakout suggests strong buying pressure. If volume remains high, ETH could invalidate the resistance level and start a new uptrend. 4. Market Sentiment & Macro Factors If Bitcoin remains bullish, Ethereum will likely follow suit, pushing above resistance levels. The broader crypto market’s strength could support a continuation rather than a rejection. Conclusion Instead of expecting a double-top rejection at 2835, traders should watch for a potential breakout. If ETH stabilizes above 2500, it could lead to a move toward 3000, rather than a drop to 2146
BITSTAMP:ETHUSDLong
by Fx_Oliviaa
1
Btcusd weekly chart (btcusd)Alternative (Bullish) Analysis 1. Potential Continuation Above Resistance (95,300) The current analysis assumes rejection at 95,300 and a drop toward 78,118. However, a strong breakout above 95,300 could trigger a rally toward 100,000 or higher. If Bitcoin consolidates above 95,300, it may act as a new support, rather than a rejection zone. 2. Volume Confirmation on the Breakout The price surged significantly (+9.09%), suggesting strong bullish momentum. Instead of expecting an immediate rejection, watch for high volume confirming a potential continuation upward. 3. Higher Low Formation Instead of a Drop The chart expects a fall back to 78,118, but the price may form a higher low around 85,000 – 88,000 before resuming the uptrend. A retracement to this range (not all the way down to 78,118) would still be healthy in a bull market. 4. Market Sentiment Shift The sharp upward movement suggests buying pressure rather than an exhaustion move. If 95,300 is tested again and breaks, it could lead to a parabolic move instead of a reversal
BITSTAMP:BTCUSDLong
by Fx_Oliviaa
GBPJPY weekly analysis (Gbpjpy)Alternative (Bullish) Analysis 1. Breakout Above Resistance at 190.070 The chart suggests rejection from 190.070, but if price breaks and holds above this level, it could signal further upside momentum. Instead of a bearish move, price could consolidate above 190.165 and push toward 191.003 or higher. 2. Strong Accumulation in the Support Zone (187.800) The support area at 187.800 has already been tested multiple times, and each time, price has rebounded. This could indicate a strong demand zone, meaning buyers are stepping in aggressively. If buyers push price back to resistance and break through, a new bullish trend may emerge. 3. Liquidity Grab Below 188.000 The previous dip below 188.000 may have been a liquidity grab to stop out weak hands before a bullish reversal. If this assumption holds, price may now aim for higher highs rather than another rejection from resistance. 4. Market Structure Shift Instead of forming a lower high at resistance, a higher low formation could suggest an uptrend. If price finds support around 189.000 instead of dropping to 187.800, a bullish continuation pattern would be confirmed
Long
by Fx_Oliviaa
Xauusd weekly charts gold big fall soon opportunity (XAUUSD) Alternative (Bullish) Analysis 1. Support Strength at 2820 The chart suggests that price may drop to 2820, but this area has shown strong support historically Instead of further breakdown, a strong bounce from this level could lead to a bullish reversal. 2. Potential False Breakdown The resistance at 2864 is marked as a selling zone, but if price breaks above it, it could trigger stop-losses for short positions, fueling a rally. If price consolidates above 2864, it could invalidate the bearish projection. 3. Trend Line Reversal The chart shows a downtrend, but if price breaks above the descending trend line, it would signal a trend reversal rather than continuation. A bullish breakout above 2864 could target 2900+ levels. 4. Economic Events Impact The economic events marked (likely U.S. data releases) could trigger volatility. If these reports are weaker than expected, gold could rally as investors seek safe-haven assets. Conclusion While the original chart suggests a bearish move, there's a strong case for a bullish reversal if the support at 2820 holds and price breaches the 2864 resistance. Instead of shorting aggressively, traders should watch for confirmation signals before committing to a bearish or bullish bias
FOREXCOM:XAUUSDLong
by Fx_Oliviaa
XAUUSD strong down again 1. Potential for Reversal The analysis assumes a clear bearish move toward the support area. However, price action may react differently to the resistance zone. If buyers step in, we could see a reversal rather than a continuation downward. A false breakdown could trap sellers and push the price back up to retest resistance instead. 2. Market Structure Weakness The chart suggests a Break of Structure (BOS) confirming a downtrend, but the momentum could weaken if volume decreases. The weak low labeled on the chart could act as a temporary liquidity grab rather than a strong bearish continuation. 3. Economic and Fundamental Factors Gold is sensitive to economic news, interest rate decisions, and geopolitical events. If a news event favors gold, this technical setup could be invalidated. USD strength or weakness could shift demand for gold, affecting this price projection. 4. Liquidity Considerations Support and resistance zones are often areas where liquidity is hunted. Market makers may manipulate price to take out stops before the actual move occurs
FOREXCOM:XAUUSDLong
by Fx_Oliviaa
3
AUDUSD STRONG FALL SOON OPPORTUNITY 1. Breakout Above Resistance The analysis assumes a rejection at the resistance zone, leading to a downtrend. However, if bullish momentum builds, the price could break above resistance, invalidating the sell-off expectation. 2. Support Might Not Hold The marked support zone might be weak if there is strong bearish sentiment, leading to a potential breakdown rather than a reversal from that level. 3. Range-bound Market Instead of a clear breakout or breakdown, AUD/USD might stay within a sideways range, consolidating between support and resistance rather than making a decisive move. 4. Fundamental Factors Economic data releases, central bank policies, or geopolitical events could override this technical setup, causing unexpected price movements in either direction.
Long
by Fx_Oliviaa
2