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MTF EMA Pane with Diagnostics30 sec chart, 1 min EMA goes flat, I buy, 1 min EMA stays inside the group, I stay in the trade. Not financial advice. I am working on an Algo killer, stay tuned. I am dedicating the rest of my life, as short as it my be, to beating the Men behind the Algo's. Buy me some coffee. Send USDT thru ETH or Base to BYDFi 0x20391e32afd61dc9e1ec027651391b56ceade4e0 Join BYDFi Referral Link: Spin for a possible $100 partner.bydfi.com Deposit: USDT via; ETH (ERC20) 0x20391e32afd61dc9e1ec027651391b56ceade4e0 Tron (TRC20) TUs5u2YxtQrQfRwYK2CsMmSDGvND6Uopdj BNB/Base (BEP20) 0x20391e32afd61dc9e1ec027651391b56ceade4e0 Solana 696LAngiQBbdk4m6k1ZBiKZrFtjTJo6dxCnVXMEePQea
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Karman1320 tarafından
NY Sessions Boxes (Live Drawing)//@version=5 indicator("NY Sessions Boxes (Live Drawing)", overlay=true) ny_tz = "America/New_York" t = time(timeframe.period, ny_tz) hour_ny = hour(t) minute_ny = minute(t) // سشن ۱: 02:00 – 05:00 session1_active = (hour_ny >= 2 and hour_ny < 5) session1_start = (hour_ny == 2 and minute_ny == 0) // سشن ۲: 09:30 – 11:00 session2_active = ((hour_ny == 9 and minute_ny >= 30) or (hour_ny > 9 and hour_ny < 11)) session2_start = (hour_ny == 9 and minute_ny == 30) var box box1 = na var float hi1 = na var float lo1 = na if session1_start hi1 := high lo1 := low box1 := box.new(left = time, right = time, top = high, bottom = low, bgcolor=color.new(color.blue, 85), border_color=color.blue) if session1_active and not na(box1) hi1 := math.max(hi1, high) lo1 := math.min(lo1, low) box.set_right(box1, time) box.set_top(box1, hi1) box.set_bottom(box1, lo1) if not session1_active and not na(box1) box1 := na hi1 := na lo1 := na var box box2 = na var float hi2 = na var float lo2 = na if session2_start hi2 := high lo2 := low box2 := box.new(left = time, right = time, top = high, bottom = low, bgcolor=color.new(color.purple, 85), border_color=color.purple) if session2_active and not na(box2) hi2 := math.max(hi2, high) lo2 := math.min(lo2, low) box.set_right(box2, time) box.set_top(box2, hi2) box.set_bottom(box2, lo2) if not session2_active and not na(box2) box2 := na hi2 := na lo2 := na
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Serpico87 tarafından
Smart Multi-Confirm Reversal DetectorHow the Smart Multi-Confirm Reversal Detector Works The indicator works by analyzing candlestick patterns, trend, and technical confirmations and then scoring each bar to determine the strength of a potential reversal. Here’s the step-by-step logic: Step 1: Analyze Candlestick Patterns For each new candle, the indicator checks if any of the selected patterns occur: Wick Reversal (Long Lower Wick): Looks for candles with a small body and a long lower shadow. Indicates buying pressure (potential bullish reversal). Inverted Wick (Long Upper Wick): Looks for candles with a small body and a long upper shadow. Indicates selling pressure (potential bearish reversal). Body Engulf: The current candle completely “engulfs” the previous candle. Signals a strong change in momentum. Tweezer Patterns: Two consecutive candles with almost identical highs or lows. Suggests a potential reversal zone. 3-Bar Pattern: Three consecutive bullish or bearish candles in a row. Shows strong momentum continuation or exhaustion, used to confirm reversal. Each pattern can be turned on/off by the user. If a pattern is detected, it contributes points to the overall signal score. Step 2: Confirm Trend Direction The indicator checks EMA trend alignment: Fast EMA vs Slow EMA: Fast EMA above Slow EMA → bullish trend. Fast EMA below Slow EMA → bearish trend. Optional Higher Timeframe EMA (HTF) Alignment: Checks if the trend on a higher timeframe matches the current trend. Adds extra weight to the signal if alignment is true. This ensures the signal goes in the direction of the prevailing trend, reducing false signals. Step 3: Check Technical Confirmations Optional filters increase reliability: ADX (Average Directional Index): Measures the strength of the current trend. Only strong trends contribute to the score. RSI (Relative Strength Index): Bullish confirmation: RSI is oversold. Bearish confirmation: RSI is overbought. Volume Spike: Compares current volume to the average volume. High volume validates the signal’s momentum. Body Momentum: Compares current candle’s body size to its average. Larger than average body indicates stronger momentum. Each of these confirmations can be enabled/disabled and has a weight in the scoring system. Step 4: Calculate Score Each pattern and confirmation has a user-defined weight (0–100). The indicator sums the active weights that pass conditions and normalizes to 100. Example: Wick Reversal detected → 30 points Trend EMA confirmed → 15 points ADX confirmed → 10 points Score = 55/100 → may or may not trigger a signal depending on threshold. Score Threshold: Only bars above the user-defined threshold are considered a confirmed signal. Bars above a lower “label threshold” still show a label, even if not strong enough for alerts. Step 5: Visualize Signals Bullish Signals: Green triangle below the candle. Bearish Signals: Red triangle above the candle. Labels: Show the type of pattern and the score. Purpose: Quickly identify potential reversals and assess their strength visually. Step 6: Optional Alerts Fixed alert messages can be enabled for confirmed bullish or bearish signals. Alerts do not recommend trades; they just notify you of pattern confirmations. Complies with TradingView’s policy for safe alert use. Step 7: Weighted Decision The final decision is not binary. Instead, the indicator combines multiple signals into a score, so stronger signals are more reliable. This reduces false positives and gives traders a professional, multi-confirmation approach to detect potential reversals.
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tradingbauhaus tarafından
gfg//@version=5 indicator("Lux Gainz Style Algo", overlay=true) // User Inputs fastLen = input.int(12, "Fast MA Length", minval=1) slowLen = input.int(26, "Slow MA Length", minval=1) rsiLen = input.int(14, "RSI Length", minval=1) rsiOverbought = input.float(70, "RSI Overbought Level") rsiOversold = input.float(30, "RSI Oversold Level") sensitivity = input.float(1.5, "Signal Sensitivity", minval=0.1, step=0.1) // Moving Averages for Trend fastMA = ta.ema(close, fastLen) slowMA = ta.ema(close, slowLen) // RSI for Momentum rsi = ta.rsi(close, rsiLen) // Trend Conditions bullTrend = fastMA > slowMA bearTrend = fastMA < slowMA // Confirmation Signals longSignal = ta.crossover(fastMA, slowMA) and rsi < rsiOversold * sensitivity shortSignal = ta.crossunder(fastMA, slowMA) and rsi > rsiOverbought / sensitivity // Plot Moving Averages plot(fastMA, color=color.new(color.green, 0), title="Fast EMA") plot(slowMA, color=color.new(color.red, 0), title="Slow EMA") // Candle Coloring for Trend Strength barcolor(bullTrend ? color.new(color.green, 70) : bearTrend ? color.new(color.red, 70) : color.gray) // Plot Buy/Sell Signals plotshape(longSignal, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.labelup, size=size.small) plotshape(shortSignal, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.labeldown, size=size.small) // Alerts alertcondition(longSignal, title="Long Entry", message="Lux Gainz Algo: Long Entry Signal") alertcondition(shortSignal, title="Short Entry", message="Lux Gainz Algo: Short Entry Signal")
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miyaniakshar798 tarafından