SPX

SPX is trading at $1.62, maintaining its position above the crucial $1.58 support level. The altcoin has surged nearly 62% over the past week, hitting a two-month high. This sharp rally reflects renewed investor interest. Currently, SPX is about 41% away from retesting its all-time high of $2.29, achieved in late July. Technical indicators, particularly the exponential moving averages (EMAs), highlight sustained bullish momentum. If this strength continues, SPX could break through the $1.74 resistance level and potentially climb toward $2.00 in the coming sessions. However, market sentiment remains crucial to sustaining this rally. Should investors begin taking profits, SPX could fall below the $1.58 support. A deeper correction might push the price down to $1.39 or lower, undermining bullish momentum and signaling a temporary reversal in the altcoin’s upward trend.

📊 SPX Update SPX has broken out of the red resistance zone ✅ and is now approaching the first target — blue line level 🎯 Momentum looks strong — watch for continuation or possible pullback at target zone ⚡

Hello✌️ Let’s analyze SPX900’s price action both technically and fundamentally 📈. 🔍Fundamental analysis: SPX6900 pumps when social buzz goes up, but can also drop fast if hype cools down. 📊Technical analysis: SPXUSDT is trading within a descending channel and approaching a key support and the upper boundary. A breakout above the channel could drive a potential 30% upside toward $1.67.⚡ 📈Using My Analysis to Open Your Position: You can use my fundamental and technical insights along with the chart. The red and green arrows on the left help you set entry, take-profit, and stop-loss levels, serving as clear signals for your trades.⚡️ Also, please review the TradingView disclaimer carefully.🛡 ✨We put love into every post! Your support inspires us 💛 Drop a comment we’d love to hear from you! Thanks, Mad Whale

The SPX is moving within the boundaries of a bullish flag on the global timeframe The price is attempting to break through the upper boundary of the pattern. If the price breaks through, the pattern predicts an upward price movement Current price: $1.2429 If the price breaks through, the pattern predicts a price move to $1.3740 and above Also, if the price fails to hold after breaking through the upper boundary, a downward rebound to 1.0118 and below is possible More detailed analysis, additional charts, and key levels to watch are available on our site

We just competed a really nice test of the 50% and 61.8% retrace right on the trendline. I could be just up from here to the ultimate target at the top trendline at around $3.89

📊 SPX Market Update SPX is testing the blue support level 🔵 ⚠️ If it breaks down, this could confirm further downside momentum 📉 ⚡ Stay alert and wait for confirmation before entering any trade.

// version =5 strategy("Risk-Managed EMA+MACD+RSI - TP 10% / SL 2% (configurable)", overlay=true, default_qty_type=strategy.percent_of_equity, default_qty_value=1, // will be overridden by calculated qty_percent commission_type=strategy.commission.percent, commission_value=0.04, // default commission (percent) — change to your broker slippage=0) // ========================== // === User inputs // ========================== tpPercent = input.float(10.0, "Take Profit (%)", step=0.1) stopPercent = input.float(2.0, "Stop Loss (%)", step=0.1) riskPerTradePct = input.float(2.0, "Risk per Trade (% of Equity)", step=0.1) maxPositionPct = input.float(100.0, "Max allowed position (% of equity)", step=1.0) fastEMAlen = input.int(20, "Fast EMA length") slowEMAlen = input.int(50, "Slow EMA length") macdFast = input.int(12, "MACD Fast") macdSlow = input.int(26, "MACD Slow") macdSig = input.int(9, "MACD Signal") rsiLen = input.int(14, "RSI length") rsiThreshold = input.float(50.0, "RSI threshold (filter)") useVolumeFilter = input.bool(true, "Use volume confirmation (above SMA)") volSmaLen = input.int(20, "Volume SMA length") // Optional: minimum equity to trade (prevents tiny buys) minEquityToTrade = input.float(50.0, "Minimum equity to trade (USD)", step=1) // ========================== // === Indicators & Filters // ========================== price = close fastEMA = ta.ema(price, fastEMAlen) slowEMA = ta.ema(price, slowEMAlen) [macdLine, macdSignal, macdHist] = ta.macd(price, macdFast, macdSlow, macdSig) rsi = ta.rsi(price, rsiLen) volSMA = ta.sma(volume, volSmaLen) volOK = not useVolumeFilter or (volume > volSMA) // Trend filter: only take longs when fastEMA above slowEMA (and inverse for shorts) bullTrend = fastEMA > slowEMA bearTrend = fastEMA < slowEMA // Entry signals (conservative — requires multiple confirmations) longSignal = bullTrend and ta.crossover(macdHist, 0) and rsi > rsiThreshold and volOK shortSignal = bearTrend and ta.crossunder(macdHist, 0) and rsi < (100 - rsiThreshold) and volOK // ========================== // === Position sizing (qty_percent) // ========================== // If stopPercent is 0 or nearly 0, avoid division by zero stopPctSafe = math.max(stopPercent, 0.0001) // Position value as percent of equity required so that risking 'riskPerTradePct' with a stop of 'stopPercent' // Formula derived: position_value = equity * (risk% / stop%) -> position_value_pct = (risk%/stop%) * 100 rawPosValuePct = (riskPerTradePct / stopPctSafe) * 100.0 // Cap to user-specified maximum and to 100% (can't allocate more than 100% of equity unless you want leverage) posValuePctCapped = math.min(rawPosValuePct, math.min(maxPositionPct, 100.0)) // If account equity is below minimum, set size to zero qtyPercentToUse = strategy.equity >= minEquityToTrade ? posValuePctCapped : 0.0 // Safety: If computed qty percent is 0, we won't enter trades // (Note: strategy.entry accepts qty_percent parameter in v5) // ========================== // === Order execution // ========================== longId = "Long" shortId = "Short" // When we enter, we immediately place an exit order attached to the entry with stop and limit prices if (longSignal and qtyPercentToUse > 0) // compute stop and take-profit in price space based on current close (entry will use market price) stopPriceLong = price * (1 - stopPercent / 100) limitPriceLong = price * (1 + tpPercent / 100) // submit entry using qty_percent strategy.entry(id=longId, direction=strategy.long, qty_percent=qtyPercentToUse, comment="EMA+MACD+RSI Long") // attach exit to the named entry strategy.exit("Exit Long", from_entry=longId, stop=stopPriceLong, limit=limitPriceLong) if (shortSignal and qtyPercentToUse > 0) stopPriceShort = price * (1 + stopPercent / 100) limitPriceShort = price * (1 - tpPercent / 100) strategy.entry(id=shortId, direction=strategy.short, qty_percent=qtyPercentToUse, comment="EMA+MACD+RSI Short") strategy.exit("Exit Short", from_entry=shortId, stop=stopPriceShort, limit=limitPriceShort) // Optional: ensure exits exist if user disables new entries. // (This handles multi-bar fills: when an entry actually fills, the attached exit will apply) // ========================== // === Plotting & labels // ========================== plot(fastEMA, color=color.new(color.green, 0), title="Fast EMA") plot(slowEMA, color=color.new(color.red, 0), title="Slow EMA") hline(50, "RSI 50", color=color.gray) plot(rsi, title="RSI", color=color.blue, linewidth=1, transp=60, display=display.none) // hidden by default // Show last trade info on chart var label lastTradeLbl = na if (barstate.islast) label.delete(lastTradeLbl) lastTradeLbl := label.new(x=bar_index, y=high, text = "TP: " + str.tostring(tpPercent, "#.##") + "% SL: " + str.tostring(stopPercent, "#.##") + "%\n" + "Risk/trade: " + str.tostring(riskPerTradePct, "#.##") + "%\n" + "Qty% used: " + str.tostring(qtyPercentToUse, "#.##") + "%", style=label.style_label_right, color=color.new(color.black, 80), textcolor=color.white, size=size.small) // Plot buy/sell signals visually plotshape(longSignal, title="Long Signal", location=location.belowbar, color=color.green, style=shape.triangleup, size=size.small, text="Long") plotshape(shortSignal, title="Short Signal", location=location.abovebar, color=color.red, style=shape.triangledown, size=size.small, text="Short") // ========================== // === Notes // ========================== // - Position sizing uses percent-of-equity logic: position_value_pct = (risk% / stop%) * 100 // Example: riskPerTradePct=2 and stopPercent=2 -> position_value_pct = 100% (full equity). // - If you want to allow leverage >1, increase `maxPositionPct` > 100. BE CAREFUL. // - Commission and slippage are configurable at the top of this script. // - You can change entry filters (EMA lengths, RSI threshold, remove volume filter) to suit your asset/timeframe. // - Backtest thoroughly across different symbols and timeframes before using live. // ==========================

Likely if ranges are kept form $1.0588 to $1.0394 (If you want to create position at CMP please start with 30% and add more 30% on each levels) Target Price: $1.4985 to be seen

This Index is going to tank because it is a meme!! and understand the fact how it works out!

Hello friends Given the decline we had, the price was well supported in the support range and broke its resistance with a strong wedge, showing that buyers entered and it can move to the specified targets. Observe risk and capital management. *Trade safely with us*