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Candlestick analysis

Hammer/Inv Hammer + ema and other settings + stratok, so thrown everything at this one as the previous only had longs. so we have all the options, but main feature is the ema to divide up the longs and short, shorts above, longs below, we all know price ends up back to the ema at some point. I have added a volume filter, this calculates the average volume from the last "20" candles (which can be adjusted) then when a hammer appears it has to be larger than the average volume to be valid. Also added trading hours in, if you are switching between RTH and ETH it can cause issue if it enters a position EOD then you get an anomaly trade as we can hold positions past certain times. Also added some trading strategy, so after 2 wins it wont trade again that day or after 1 loss. you decide. So much to play with now.
Pine Script® ストラテジー
collishawjakeの投稿
MNO_2Step_Strategy_MOU_KAKU (Publish-Clear)//@version=5 strategy("MNO_2Step_Strategy_MOU_KAKU (Publish-Clear)", overlay=true, pyramiding=0, max_labels_count=500, max_lines_count=500, initial_capital=100000, default_qty_type=strategy.percent_of_equity, default_qty_value=10) // ========================= // Inputs // ========================= emaSLen = input.int(5, "EMA Short (5)") emaMLen = input.int(13, "EMA Mid (13)") emaLLen = input.int(26, "EMA Long (26)") macdFast = input.int(12, "MACD Fast") macdSlow = input.int(26, "MACD Slow") macdSignal = input.int(9, "MACD Signal") macdZeroTh = input.float(0.2, "MOU: MACD near-zero threshold", step=0.05) volLookback = input.int(5, "Volume MA days", minval=1) volMinRatio = input.float(1.3, "MOU: Volume ratio min", step=0.1) volStrong = input.float(1.5, "Strong volume ratio (Breakout/KAKU)", step=0.1) volMaxRatio = input.float(3.0, "Volume ratio max (filter)", step=0.1) wickBodyMult = input.float(2.0, "Pinbar: lowerWick >= body*x", step=0.1) pivotLen = input.int(20, "Resistance lookback", minval=5) pullMinPct = input.float(5.0, "Pullback min (%)", step=0.1) pullMaxPct = input.float(15.0, "Pullback max (%)", step=0.1) breakLookbackBars = input.int(5, "Pullback route: valid bars after break", minval=1) // --- Breakout route (押し目なし初動ブレイク) --- useBreakoutRoute = input.bool(true, "Enable MOU Breakout Route (no pullback)") breakConfirmPct = input.float(0.3, "Break confirm: close > R*(1+%)", step=0.1) bigBodyLookback = input.int(20, "Break candle body MA length", minval=5) bigBodyMult = input.float(1.2, "Break candle: body >= MA*mult", step=0.1) requireCloseNearHigh = input.bool(true, "Break candle: close near high") closeNearHighPct = input.float(25.0, "Close near high threshold (% of range)", step=1.0) allowMACDAboveZeroInstead = input.bool(true, "Breakout route: allow MACD GC above zero instead") // 表示 showEMA = input.bool(true, "Plot EMAs") showMouLabels = input.bool(true, "Show MOU/MOU-B labels") showKakuLabels = input.bool(true, "Show KAKU labels") showDebugTbl = input.bool(true, "Show debug table (last bar)") showStatusLbl = input.bool(true, "Show status label (last bar always)") locChoice = input.string("Below Bar", "Label location", options= ) lblLoc = locChoice == "Below Bar" ? location.belowbar : location.abovebar // ========================= // 必ず決済が起きる設定（投稿クリア用） // ========================= enableTPSL = input.bool(true, "Enable TP/SL") tpPct = input.float(2.0, "Take Profit (%)", step=0.1, minval=0.1) // ←投稿クリア向けに近め slPct = input.float(1.0, "Stop Loss (%)", step=0.1, minval=0.1) // ←投稿クリア向けに近め maxHoldBars = input.int(30, "Max bars in trade (force close)", minval=1) entryMode = input.string("MOU or KAKU", "Entry trigger", options= ) // ✅ 保険：トレード0件を避ける（投稿クリア用） // 1回でもクローズトレードができたら自動で沈黙 publishAssist = input.bool(true, "Publish Assist (safety entry if 0 trades)") // ========================= // EMA // ========================= emaS = ta.ema(close, emaSLen) emaM = ta.ema(close, emaMLen) emaL = ta.ema(close, emaLLen) plot(showEMA ? emaS : na, color=color.new(color.yellow, 0), title="EMA 5") plot(showEMA ? emaM : na, color=color.new(color.blue, 0), title="EMA 13") plot(showEMA ? emaL : na, color=color.new(color.orange, 0), title="EMA 26") emaUpS = emaS > emaS emaUpM = emaM > emaM emaUpL = emaL > emaL goldenOrder = emaS > emaM and emaM > emaL above26_2days = close > emaL and close > emaL baseTrendOK = (emaUpS and emaUpM and emaUpL) and goldenOrder and above26_2days // ========================= // MACD // ========================= = ta.macd(close, macdFast, macdSlow, macdSignal) macdGC = ta.crossover(macdLine, macdSig) macdUp = macdLine > macdLine macdNearZero = math.abs(macdLine) <= macdZeroTh macdGCAboveZero = macdGC and macdLine > 0 and macdSig > 0 macdMouOK = macdGC and macdNearZero and macdUp macdBreakOK = allowMACDAboveZeroInstead ? (macdMouOK or macdGCAboveZero) : macdMouOK // ========================= // Volume // ========================= volMA = ta.sma(volume, volLookback) volRatio = volMA > 0 ? (volume / volMA) : na volumeMouOK = volRatio >= volMinRatio and volRatio <= volMaxRatio volumeStrongOK = volRatio >= volStrong and volRatio <= volMaxRatio // ========================= // Candle patterns // ========================= body = math.abs(close - open) upperWick = high - math.max(open, close) lowerWick = math.min(open, close) - low pinbar = (lowerWick >= wickBodyMult * body) and (lowerWick > upperWick) and (close >= open) bullEngulf = close > open and close < open and close >= open and open <= close bigBull = close > open and open < emaM and close > emaS and (body > ta.sma(body, 20)) candleOK = pinbar or bullEngulf or bigBull // ========================= // Resistance / Pullback route // ========================= res = ta.highest(high, pivotLen) pullbackPct = res > 0 ? (res - close) / res * 100.0 : na pullbackOK = pullbackPct >= pullMinPct and pullbackPct <= pullMaxPct brokeRes = ta.crossover(close, res ) barsSinceBreak = ta.barssince(brokeRes) afterBreakZone = (barsSinceBreak >= 0) and (barsSinceBreak <= breakLookbackBars) pullbackRouteOK = afterBreakZone and pullbackOK // ========================= // Breakout route (押し目なし初動ブレイク) // ========================= breakConfirm = close > res * (1.0 + breakConfirmPct / 100.0) bullBreak = close > open bodyMA = ta.sma(body, bigBodyLookback) bigBodyOK = bodyMA > 0 ? (body >= bodyMA * bigBodyMult) : false rng = math.max(high - low, syminfo.mintick) closeNearHighOK = not requireCloseNearHigh ? true : ((high - close) / rng * 100.0 <= closeNearHighPct) mou_breakout = useBreakoutRoute and baseTrendOK and breakConfirm and bullBreak and bigBodyOK and closeNearHighOK and volumeStrongOK and macdBreakOK mou_pullback = baseTrendOK and volumeMouOK and candleOK and macdMouOK and pullbackRouteOK mou = mou_pullback or mou_breakout // ========================= // KAKU (Strict): 8条件 + 最終三点 // ========================= cond1 = emaUpS and emaUpM and emaUpL cond2 = goldenOrder cond3 = above26_2days cond4 = macdGCAboveZero cond5 = volumeMouOK cond6 = candleOK cond7 = pullbackOK cond8 = pullbackRouteOK all8_strict = cond1 and cond2 and cond3 and cond4 and cond5 and cond6 and cond7 and cond8 final3 = pinbar and macdGCAboveZero and volumeStrongOK kaku = all8_strict and final3 // ========================= // Entry (strategy) // ========================= entrySignal = entryMode == "KAKU only" ? kaku : (mou or kaku) canEnter = strategy.position_size == 0 newEntryKaku = canEnter and kaku and entrySignal newEntryMouB = canEnter and (not kaku) and mou_breakout and entrySignal newEntryMou = canEnter and (not kaku) and mou_pullback and entrySignal // --- Publish Assist（保険エントリー） --- // 条件が厳しすぎて「トレード0件」だと投稿時に警告が出る。 // closedtradesが0の間だけ、軽いEMAクロスで1回だけ拾う（その後は沈黙）。 assistFast = ta.ema(close, 5) assistSlow = ta.ema(close, 20) assistEntry = publishAssist and strategy.closedtrades == 0 and canEnter and ta.crossover(assistFast, assistSlow) // 実エントリー if newEntryKaku or newEntryMouB or newEntryMou or assistEntry strategy.entry("LONG", strategy.long) // ラベル（視認） if showMouLabels and newEntryMou label.new(bar_index, low, "猛(IN)", style=label.style_label_up, color=color.new(color.lime, 0), textcolor=color.black) if showMouLabels and newEntryMouB label.new(bar_index, low, "猛B(IN)", style=label.style_label_up, color=color.new(color.lime, 0), textcolor=color.black) if showKakuLabels and newEntryKaku label.new(bar_index, low, "確(IN)", style=label.style_label_up, color=color.new(color.yellow, 0), textcolor=color.black) if assistEntry label.new(bar_index, low, "ASSIST(IN)", style=label.style_label_up, color=color.new(color.aqua, 0), textcolor=color.black) // ========================= // Exit (TP/SL + 強制クローズ) // ========================= inPos = strategy.position_size > 0 tpPx = inPos ? strategy.position_avg_price * (1.0 + tpPct/100.0) : na slPx = inPos ? strategy.position_avg_price * (1.0 - slPct/100.0) : na if enableTPSL strategy.exit("TP/SL", from_entry="LONG", limit=tpPx, stop=slPx) // 最大保有バーで強制決済（これが「レポート無し」回避の最後の保険） var int entryBar = na if strategy.position_size > 0 and strategy.position_size == 0 entryBar := bar_index if strategy.position_size == 0 entryBar := na forceClose = inPos and not na(entryBar) and (bar_index - entryBar >= maxHoldBars) if forceClose strategy.close("LONG") // ========================= // 利確/損切/強制クローズのラベル // ========================= closedThisBar = (strategy.position_size > 0) and (strategy.position_size == 0) avgPrev = strategy.position_avg_price tpPrev = avgPrev * (1.0 + tpPct/100.0) slPrev = avgPrev * (1.0 - slPct/100.0) hitTP = closedThisBar and high >= tpPrev hitSL = closedThisBar and low <= slPrev // 同一足TP/SL両方は厳密に判断できないので、表示は「TP優先」で簡略（投稿ギリギリ版） if hitTP label.new(bar_index, high, "利確", style=label.style_label_down, color=color.new(color.lime, 0), textcolor=color.black) else if hitSL label.new(bar_index, low, "損切", style=label.style_label_up, color=color.new(color.red, 0), textcolor=color.white) else if closedThisBar and forceClose label.new(bar_index, close, "時間決済", style=label.style_label_left, color=color.new(color.gray, 0), textcolor=color.white) // ========================= // Signals (猛/猛B/確) // ========================= plotshape(showMouLabels and mou_pullback and not kaku, title="MOU_PULLBACK", style=shape.labelup, text="猛", color=color.new(color.lime, 0), textcolor=color.black, location=lblLoc, size=size.tiny) plotshape(showMouLabels and mou_breakout and not kaku, title="MOU_BREAKOUT", style=shape.labelup, text="猛B", color=color.new(color.lime, 0), textcolor=color.black, location=lblLoc, size=size.tiny) plotshape(showKakuLabels and kaku, title="KAKU", style=shape.labelup, text="確", color=color.new(color.yellow, 0), textcolor=color.black, location=lblLoc, size=size.small) // ========================= // Alerts // ========================= alertcondition(mou, title="MNO_MOU", message="MNO: MOU triggered") alertcondition(mou_breakout, title="MNO_MOU_BREAKOUT", message="MNO: MOU Breakout triggered") alertcondition(mou_pullback, title="MNO_MOU_PULLBACK", message="MNO: MOU Pullback triggered") alertcondition(kaku, title="MNO_KAKU", message="MNO: KAKU triggered") alertcondition(assistEntry, title="MNO_ASSIST_ENTRY", message="MNO: ASSIST ENTRY (publish safety)") // ========================= // Status label（最終足に必ず表示） // ========================= var label status = na if showStatusLbl and barstate.islast label.delete(status) statusTxt = "MNO RUNNING " + "ClosedTrades: " + str.tostring(strategy.closedtrades) + " " + "BaseTrend: " + (baseTrendOK ? "OK" : "NO") + " " + "MOU: " + (mou ? "YES" : "no") + " (猛=" + (mou_pullback ? "Y" : "n") + " / 猛B=" + (mou_breakout ? "Y" : "n") + ") " + "KAKU: " + (kaku ? "YES" : "no") + " " + "VolRatio: " + (na(volRatio) ? "na" : str.tostring(volRatio, format.mintick)) + " " + "Pull%: " + (na(pullbackPct) ? "na" : str.tostring(pullbackPct, format.mintick)) + " " + "Pos: " + (inPos ? "IN" : "OUT") status := label.new(bar_index, high, statusTxt, style=label.style_label_left, textcolor=color.white, color=color.new(color.black, 0)) // ========================= // Debug table（最終足のみ） // ========================= var table t = table.new(position.top_right, 2, 14, border_width=1, border_color=color.new(color.white, 60)) fRow(_name, _cond, _r) => bg = _cond ? color.new(color.lime, 70) : color.new(color.red, 80) tx = _cond ? "OK" : "NO" table.cell(t, 0, _r, _name, text_color=color.white, bgcolor=color.new(color.black, 0)) table.cell(t, 1, _r, tx, text_color=color.white, bgcolor=bg) if showDebugTbl and barstate.islast table.cell(t, 0, 0, "MNO Debug", text_color=color.white, bgcolor=color.new(color.black, 0)) table.cell(t, 1, 0, "", text_color=color.white, bgcolor=color.new(color.black, 0)) fRow("BaseTrend", baseTrendOK, 1) fRow("MOU Pullback", mou_pullback, 2) fRow("MOU Breakout", mou_breakout, 3) fRow("Break confirm", breakConfirm, 4) fRow("Break big body", bigBodyOK, 5) fRow("Break close high", closeNearHighOK, 6) fRow("Break vol strong", volumeStrongOK, 7) fRow("Break MACD", macdBreakOK, 8) fRow("KAKU all8", all8_strict, 9) fRow("KAKU final3", final3, 10) fRow("AssistEntry", assistEntry, 11) fRow("ClosedTrades>0", strategy.closedtrades > 0, 12)
Pine Script® ストラテジー
morishima0ut6bの投稿
ARVEXV1“Failed Reversal – Opposite Candle Only (No Doji/Hammer/Hanging Man)”: This strategy captures failed reversal attempts where the current candle is opposite to the previous candle and volume is higher. It enters long if a bearish candle fails to break a previous bullish candle’s low, and short if a bullish candle fails to break a previous bearish candle’s high. Signals are canceled for Doji, Hammer, or Hanging Man candles. Entries only, fully backtestable.
Pine Script® ストラテジー
riccabunaldaの投稿
ARVEX V1“Failed Reversal – Opposite Candle Only (No Doji/Hammer/Hanging Man)”: This strategy captures failed reversal attempts where the current candle is opposite to the previous candle and volume is higher. It enters long if a bearish candle fails to break a previous bullish candle’s low, and short if a bullish candle fails to break a previous bearish candle’s high. Signals are canceled for Doji, Hammer, or Hanging Man candles. Entries only, fully backtestable.
Pine Script® ストラテジー
riccabunaldaの投稿
Crypto LONG PYThis trading approach is a powerful combination of technical tools aimed at taking advantage of market fluctuations with precision and reliability. By integrating Bollinger Bands (BB), the Relative Strength Index (RSI), Exponential Moving Averages (EMA), and Fibonacci retracement levels (Fib), we create a strategy that captures key market moves and helps identify optimal entry and exit points, all within the context of the New York market conditions (NY). Bollinger Bands provide insight into market volatility, offering signals about potential extreme price movements. The RSI is used to measure momentum and assess overbought or oversold conditions, indicating when the market might be nearing a reversal. Meanwhile, EMAs add a layer of smoothing, allowing us to observe short- and medium-term trends, helping filter out false signals and providing a clearer view of the overall market direction. Additionally, Fibonacci retracements are integrated to identify key support and resistance levels, pinpointing potential areas of price retracement and continuation. When combined, these indicators offer a holistic approach to navigating the markets, enabling traders to make data-driven, informed decisions. This approach is ideal for traders looking for a meticulous methodology for trading during the NY session, where liquidity and volatility tend to be at their highest. Leverage the synergy between these indicators to optimize your trading strategy and maximize your market performance.
Pine Script® ストラテジー
Saletrader1の投稿
Multi-MA + RSI Pullback Strategy (Jordan)1️⃣ Strategy logic I’ll code From your screenshots: Indicators • EMAs: 600 / 200 / 100 / 50 • RSI: length 6, levels 80 / 20 Rules (simplified so a script can handle them): • Use a higher-timeframe trend filter (15m or 1h) using the EMAs. • Take entries on the chart timeframe (you can use 1m or 5m). • Long: • Higher-TF trend is up. • Price is pulling back into a zone (between 50 EMA and 100 EMA on the entry timeframe – this approximates your 50–61% retrace). • RSI crosses below 20 (oversold). • Short: • Higher-TF trend is down. • Price pulls back between 50 & 100 EMAs. • RSI crosses above 80 (overbought). • Exits: ATR-based stop + take-profit with adjustable R:R (2:1 or 3:1). • Max 4 trades per day. News filter & “only trade gold” you handle manually (run it on XAUUSD and avoid news times yourself – TradingView can’t read the economic calendar from code).
Pine Script® ストラテジー
jordana4r79の投稿
Trend Following $ZEC - Multi-Timeframe Structure Filter + Revers# Trend Following CRYPTOCAP:ZEC - Strategy Guide ## 📊 Strategy Overview Trend Following CRYPTOCAP:ZEC is an enhanced Turtle Trading system designed for cryptocurrency spot trading, combining Donchian Channel breakouts, multi-timeframe structure filtering, and ATR-based dynamic risk management for both long and short positions. --- ## 🎯 Core Features 1. Multi-Timeframe Structure Filtering - Uses Swing High/Low to identify market structure - Customizable structure timeframe (default: 1 minute) - Only enters trades in the direction of the trend, avoiding counter-trend positions 2. Reverse Signal Exit - No fixed stop-loss or fixed-period exits - Exits only when a reverse entry signal triggers - Maximizes trend profits, reduces premature exits 3. ATR Dynamic Pyramiding - Adds positions when price moves 0.5 ATR in favorable direction - Supports up to 2 units maximum (adjustable) - Pyramid scaling to enhance profitability 4. Complete Risk Management - Fixed position size (5000 USD per unit) - Commission fee 0.06% (Binance spot rate) - Initial capital 10,000 USD --- ## 📈 Trading Logic Entry Conditions ✅ Long Entry: - Close price breaks above 20-period high - Structure trend is bullish (price breaks above Swing High) ✅ Short Entry: - Close price breaks below 20-period low - Structure trend is bearish (price breaks below Swing Low) Add Position Conditions - Long: Price rises ≥ 0.5 ATR - Short: Price falls ≥ 0.5 ATR - Maximum 2 units including initial entry Exit Conditions - Long Exit: When short entry signal triggers (price breaks 20-period low + structure turns bearish) - Short Exit: When long entry signal triggers (price breaks 20-period high + structure turns bullish) --- ## ⚙️ Parameter Settings Channel Settings - Entry Channel Period: 20 (Donchian Channel breakout period) - Exit Channel Period: 10 (reserved parameter, actually uses reverse signal exit) ATR Settings - ATR Period: 20 - Stop Loss ATR Multiplier: 2.0 (reserved parameter) - Add Position ATR Multiplier: 0.5 Structure Filter - Swing Length: 160 (Swing High/Low calculation period) - Structure Timeframe: 1 minute (can change to 5/15/60, etc.) Position Management - Maximum Units: 2 (including initial entry) - Capital Per Unit: 5000 USD --- ## 🎨 Visualization Features Background Colors - Light Green: Bullish structure - Light Red: Bearish structure - Dark Green: Long entry - Dark Red: Short entry Optional Display (Default: OFF) - Entry/exit channel lines - Structure high/low lines - ATR stop-loss line - Next add position indicator - Entry/exit labels --- ## 📱 Alert Message Format Strategy sends notifications on entry/exit with the following format: - Entry: `1m Long EP:428.26` - Add Position: `15m Add Long 2/2 EP:429.50` - Exit: `1m Close Long Reverse Signal` Where: - `1m`/`15m` = Current chart timeframe - `EP` = Entry Price --- ## 💰 Backtest Settings Capital Allocation - Initial Capital: 10,000 USD - Per Entry: 5,000 USD (split into 2 entries) - Leverage: 0x (spot trading) Trading Costs - Commission: 0.06% (Binance spot VIP0) - Slippage: 0 --- ## 🎯 Use Cases ✅ Best Scenarios - Trending markets - Moderate volatility assets - 1-minute to 4-hour timeframes ⚠️ Not Suitable For - Highly volatile choppy markets - Low liquidity small-cap coins - Extreme market conditions (black swan events) --- ## 📊 Usage Recommendations Timeframe Suggestions | Timeframe | Trading Style | Suggested Parameter Adjustment | |-----------|--------------|-------------------------------| | 1-5 min | Scalping | Swing Length 100-160 | | 15-30 min | Short-term | Swing Length 50-100 | | 1-4 hour | Swing Trading | Swing Length 20-50 | Optimization Tips 1. Adjust swing length based on backtest results 2. Different coins may require different parameters 3. Recommend backtesting on 1-minute chart first before live trading 4. Enable labels to observe entry/exit points --- ## ⚠️ Risk Disclaimer 1. Past Performance Does Not Guarantee Future Results - Backtest data is for reference only - Live trading may be affected by slippage, delays, etc. 2. Market Condition Changes - Strategy performs better in trending markets - May experience frequent stops in ranging markets 3. Capital Management - Do not invest more than you can afford to lose - Recommend setting total capital stop-loss threshold 4. Commission Impact - Frequent trading accumulates commission fees - Recommend using exchange discounts (BNB fee reduction, etc.) --- ## 🔧 Troubleshooting Q: No entry signals? A: Check if structure filter is too strict, adjust swing length or timeframe Q: Too many labels displayed? A: Turn off "Show Labels" option in settings Q: Poor backtest performance? A: 1. Check if the coin is suitable for trend-following strategies 2. Adjust parameters (swing length, channel period) 3. Try different timeframes Q: How to set alerts? A: 1. Click "Alert" in top-right corner of chart 2. Condition: Select "Strategy - Trend Following CRYPTOCAP:ZEC " 3. Choose "Order filled" 4. Set notification method (Webhook/Email/App) --- ## 📞 Contact Information Strategy Name: Trend Following CRYPTOCAP:ZEC Version: v1.0 Pine Script Version: v6 Last Updated: December 2025 --- ## 📄 Copyright Notice This strategy is for educational and research purposes only. All risks of using this strategy for live trading are borne by the user. Commercial use without authorization is prohibited. --- ## 🎓 Learning Resources To understand the strategy principles in depth, recommended reading: - "The Complete TurtleTrader" - Curtis Faith - "Trend Following" - Michael Covel - TradingView Pine Script Official Documentation --- Happy Trading! Remember to manage your risk 📈
Pine Script® ストラテジー
ssun_6の投稿
Strategia S&P 500 vs US10Y Yield (od 2000)This strategy explores the macroeconomic relationship between the equity market (S&P 500) and the debt market (10-Year Treasury Yield). Historically, rapid spikes in bond yields often exert downward pressure on equity valuations, leading to corrections or bear markets. The goal of this strategy is capital preservation. It attempts to switch to cash when yields are rising too aggressively and re-enter the stock market when the bond market stabilizes.
Pine Script® ストラテジー
adamniestojの投稿
Strategia S&P 500 vs US10Y YieldThis strategy explores the macroeconomic relationship between the equity market (S&P 500) and the debt market (10-Year Treasury Yield). Historically, rapid spikes in bond yields often exert downward pressure on equity valuations, leading to corrections or bear markets. The goal of this strategy is capital preservation. It attempts to switch to cash when yields are rising too aggressively and re-enter the stock market when the bond market stabilizes.
Pine Script® ストラテジー
adamniestojの投稿
2 Dip/Tepe + Destek/Direnç + Tek Sinyal Stratejisi⭐ A Brief Summary of What the Strategy Does 🎯 1) Market analysis is being released (bottom-top analysis) It automatically finds pivot bottoms and pivot tops on the strategic chart. Then: If the bottoms are rising (HL – High Low): the trend is upward If the tops are falling (LH – Lower High): the trend is downward it interprets this. 🎯 2) Support and resistance lines are formed Last pivot top = resistance line Last pivot bottom = support line These lines are automatically drawn on the chart. 🎯 3) Breakout is expected according to the trend structure For LONG: The last two bottoms will be rising bottoms The price will rise above the last resistance line This gives a single LONG signal. For SHORT: The last two peaks will be falling peaks The price will fall below the support line This gives a single SHORT signal.
Pine Script® ストラテジー
hayrialbayirの投稿
2026 CHRISTMAS PRESENT CHRISTMAS PRESENT Overview The Cash Detector is a comprehensive trading strategy that combines momentum analysis with price action confirmation to identify high-probability entry points. This strategy is designed to capture trend reversals and continuation moves by requiring multiple confirming signals before entry, significantly reducing false signals common in single-indicator systems. Strategy Background The strategy is built on the principle of confluence trading requiring multiple technical factors to align before taking a position. It focuses on two critical phases of market rotation: Q2 Momentum Phase: Uses MACD crossovers to identify shifts in market momentum, signaling when bulls or bears are gaining control. Q4 Trigger Phase: Employs engulfing candlestick patterns to confirm strong directional pressure and validate the momentum signal with actual price action. By combining these elements, the strategy filters out weak signals and focuses only on setups where both momentum AND price action agree on direction. Key Features Dual Confirmation System: Requires both MACD momentum shift and engulfing candle pattern RSI Filter: Optional overbought/oversold filter to avoid extreme conditions Built-in Risk Management: Configurable stop loss and take profit levels Performance Dashboard: Real-time ROI metrics displayed on chart Full Backtesting: Strategy mode allows historical performance analysis Trading Rules LONG ENTRY BUY All conditions must occur on the same candle: 1. Momentum Confirmation: MACD line crosses above signal line bullish crossover 2. Price Action Confirmation: Bullish engulfing pattern forms: Current close greater than previous open Current open less than previous close Current close greater than current open 3. RSI Filter Optional: RSI less than 70 not overbought Visual Signal: Green LONG label appears below the candle SHORT ENTRY SELL All conditions must occur on the same candle: 1. Momentum Confirmation: MACD line crosses below signal line bearish crossover 2. Price Action Confirmation: Bearish engulfing pattern forms: Current close less than previous open Current open greater than previous close Current close less than current open 3. RSI Filter Optional: RSI greater than 30 not oversold Visual Signal: Red SHORT label appears above the candle Exit Rules Stop Loss Default 2 percent Long: Exit if price drops 2 percent below entry Short: Exit if price rises 2 percent above entry Take Profit Default 4 percent Long: Exit if price rises 4 percent above entry Short: Exit if price drops 4 percent below entry Input Parameters Indicator Settings MACD Fast Length: 12 default MACD Slow Length: 26 default RSI Length: 14 default Risk Management Use Stop Loss: Enable or disable stop loss Stop Loss percent: Percentage risk per trade default 2 percent Use Take Profit: Enable or disable take profit Take Profit percent: Target profit per trade default 4 percent Filters Use RSI Filter: Enable or disable RSI overbought oversold filter RSI Overbought: Upper threshold default 70 RSI Oversold: Lower threshold default 30 Performance Metrics The built-in dashboard displays: Net Profit: Total profit loss in currency and percentage Total Trades: Number of completed trades Win Rate: Percentage of profitable trades Profit Factor: Ratio of gross profit to gross loss Average Win Loss: Mean profit per winning losing trade Max Drawdown: Largest peak to trough decline Best Practices 1. Timeframe Selection: Works on multiple timeframes test on 15min 1H 4H and daily 2. Market Conditions: Most effective in trending markets with clear momentum 3. Risk Reward Ratio: Default 1:2 ratio 2 percent risk 4 percent reward is conservative adjust based on backtesting 4. Combine with Context: Consider overall market trend and support resistance levels 5. Backtest First: Always backtest on your specific instrument and timeframe before live trading Risk Disclaimer This strategy is for educational purposes. Past performance does not guarantee future results. Always: Backtest thoroughly on historical data Paper trade before using real capital Use proper position sizing and risk management Never risk more than you can afford to lose Customization Tips Aggressive traders: Reduce stop loss to 1.5 percent increase take profit to 5 percent Conservative traders: Increase stop loss to 3 percent reduce take profit to 3 percent Ranging markets: Enable RSI filter to avoid false breakouts Strong trends: Disable RSI filter to catch all momentum shifts Technical Details Indicators Used: Moving Average Convergence Divergence MACD Relative Strength Index RSI Candlestick Pattern Recognition Strategy Type: Trend following with momentum confirmation Best Suited For: Stocks Forex Crypto Indices Version 1.0 Compatible with Pine Script v5
Pine Script® ストラテジー
hushedDiamond97573の投稿
8
Reversal WaveThis is the type of quantitative system that can get you hated on investment forums, now that the Random Walk Theory is back in fashion. The strategy has simple price action rules, zero over-optimization, and is validated by a historical record of nearly a century on both Gold and the S&P 500 index. Recommended Markets SPX (Weekly, Monthly) SPY (Monthly) Tesla (Weekly) XAUUSD (Weekly, Monthly) NVDA (Weekly, Monthly) Meta (Weekly, Monthly) GOOG (Weekly, Monthly) MSFT (Weekly, Monthly) AAPL (Weekly, Monthly) System Rules and Parameters Total capital: $10,000 We will use 10% of the total capital per trade Commissions will be 0.1% per trade Condition 1: Previous Bearish Candle (isPrevBearish) (the closing price was lower than the opening price). Condition 2: Midpoint of the Body The script calculates the exact midpoint of the body of that previous bearish candle. • Formula: (Previous Open + Previous Close) / 2. Condition 3: 50% Recovery (longCondition) The current candle must be bullish (green) and, most importantly, its closing price must be above the midpoint calculated in the previous step. Once these parameters are met, the system executes a long entry and calculates the exit parameters: Stop Loss (SL): Placed at the low of the candle that generated the entry signal. Take Profit (TP): Calculated by projecting the risk distance upward. • Calculation: Entry Price + (Risk * 1). Risk:Reward Ratio of 1:1. About the Profit Factor In my experience, TradingView calculates profits and losses based on the percentage of movement, which can cause returns to not match expectations. This doesn’t significantly affect trending systems, but it can impact systems with a high win rate and a well-defined risk-reward ratio. It only takes one large entry candle that triggers the SL to translate into a major drop in performance. For example, you might see a system with a 60% win rate and a 1:1 risk-reward ratio generating losses, even though commissions are under control relative to the number of trades. My recommendation is to manually calculate the performance of systems with a well-defined risk-reward ratio, assuming you will trade using a fixed amount per trade and limit losses to a fixed percentage. Remember that, even if candles are larger or smaller in size, we can maintain a fixed loss percentage by using leverage (in cases of low volatility) or reducing the capital at risk (when volatility is high). Implementing leverage or capital reduction based on volatility is something I haven’t been able to incorporate into the code, but it would undoubtedly improve the system’s performance dramatically, as it would fix a consistent loss percentage per trade, preventing losses from fluctuating with volatility swings. For example, we can maintain a fixed loss percentage when volatility is low by using the following formula: Leverage = % of SL you’re willing to risk / % volatility from entry point to exit or SL And if volatility is high and exceeds the fixed percentage we want to expose per trade (if SL is hit), we could reduce the position size. For example, imagine we only want to risk 15% per SL on Tesla, where volatility is high and would cause a 23.57% loss. In this case, we subtract 23.57% from 15% (the loss percentage we’re willing to accept per trade), then subtract the result from our usual position size. 23.57% - 15% = 8.57% Suppose I use $200 per trade. To calculate 8.57% of $200, simply multiply 200 by 8.57/100. This simple calculation shows that 8.57% equals about $17.14 of the $200. Then subtract that value from $200: $200 - $17.14 = $182.86 In summary, if we reduced the position size to $182.86 (from the usual $200, where we’re willing to lose 15%), no matter whether Tesla moves up or down 23.57%, we would still only gain or lose 15% of the $200, thus respecting our risk management. Final Notes The code is extremely simple, and every step of its development is detailed within it. If you liked this strategy, which complements very well with others I’ve already published, stay tuned. Best regards.
Pine Script® ストラテジー
OldWave96の投稿
2
specific breakout FiFTOStrategy Description: 10:14 Breakout Only Overview This is a time-based intraday trading strategy designed to capture momentum bursts that occur specifically after the 10:14 AM candle closes. It operates on the logic that if price breaks the high of this specific candle within a short window, a trend continuation is likely. Core Logic & Rules The Setup Candle (10:14 AM) The strategy waits specifically for the minute candle at 10:14 to complete. Once this candle closes, the strategy records its High price. Defining the Entry Level It calculates a trigger price by taking the 10:14 High and adding a user-defined Buffer (e.g., +1 point). Formula: Entry Level = 10:14 High + Buffer The "Active Window" (Expiry) The trade setup does not remain open all day. It has a strict time limit. By default, the setup is valid from 10:15 to 10:20. If the price does not break the Entry Level by the expiry time (default 10:20), the setup is cancelled and no trade is taken for the day. Entry Trigger If a candle closes above the Entry Level while the window is open, a Long (Buy) position is opened immediately. Exits (Risk Management) Stop Loss: A fixed number of points below the entry price. Target: A fixed number of points above the entry price. Visual & Automation Features Visual Boxes: Upon entry, the strategy draws a "Long Position" style visual on the chart. A green box highlights the profit zone, and a red box highlights the loss zone. These boxes extend automatically until the trade closes. JSON Alerts: The strategy is pre-configured to send data-rich alerts for automation (e.g., Telegram bots). Entry Alert: Includes Symbol, Entry Price, SL, and TP. Exit Alerts: Specific messages for "Target Hit" or "SL Hit". Summary of User Inputs Entry Buffer: Extra points added to the high to filter false breaks. Fixed Stop Loss: Risk per trade in points. Fixed Target: Reward per trade in points. Expiry Minute: The minute (10:xx) at which the setup becomes invalid if not triggered.
Pine Script® ストラテジー
official_fiftoの投稿
Indian Scalper 2025 – PSAR + SMA50 + RSI≤50 + High Volume (75%)Best 1-min / 2-min scalping strategy for NIFTY, BANKNIFTY, FINNIFTY & liquid stocks in 2025 ✓ PSAR flip + SMA-50 trend filter ✓ RSI ≤50 (avoids chasing) ✓ Only high-volume candles (bright colour) ✓ Loud mobile alerts with price & SL ✓ 1:2+ RR with PSAR trailing Works like magic 9:15–11:30 AM and 2–3:20 PM Made with love for the Indian trading community ♥
Pine Script® ストラテジー
keerthanamurugesanの投稿
Options Scalper v2 - SPY/QQQHere's a comprehensive description of the Options Scalper v2 strategy: --- ## Options Scalper v2 - SPY/QQQ ### Overview A multi-indicator confluence-based scalping strategy designed for trading SPY and QQQ options on short timeframes (1-5 minute charts). The strategy uses a scoring system to generate high-probability CALL and PUT signals by requiring alignment across multiple technical indicators before triggering entries. --- ### Core Logic The strategy operates on a **scoring system (0-9 points)** where both bullish (CALL) and bearish (PUT) conditions are evaluated independently. A signal only fires when: 1. A recent EMA crossover occurred (within the last 3 bars) 2. The direction's score meets the minimum threshold (default: 4 points) 3. The signal's score is higher than the opposite direction 4. Enough bars have passed since the last signal (cooldown period) 5. Price action occurs during valid trading sessions --- ### Indicators Used | Indicator | Purpose | CALL Condition | PUT Condition | |-----------|---------|----------------|---------------| | **9/21 EMA Cross** | Primary trigger | Fast EMA crosses above slow | Fast EMA crosses below slow | | **200 EMA** | Trend filter | Price above 200 EMA | Price below 200 EMA | | **RSI (14)** | Momentum filter | RSI between 45-65 | RSI between 35-55 | | **VWAP** | Institutional level | Price above VWAP | Price below VWAP | | **MACD (12,26,9)** | Momentum confirmation | MACD line > Signal line | MACD line < Signal line | | **Stochastic (14,3)** | Overbought/Oversold | Oversold or K > D | Overbought or K < D | | **Volume** | Participation confirmation | Spike on green candle | Spike on red candle | | **Price Structure** | Breakout detection | Higher high formed | Lower low formed | --- ### Scoring Breakdown **CALL Score (Max 9 points):** - Recent EMA cross up: +2 pts - EMA alignment (fast > slow): +1 pt - RSI in bullish range: +1 pt - Above VWAP: +1 pt - MACD bullish: +1 pt - Volume spike on green candle: +1 pt - Stochastic setup: +1 pt - Above 200 EMA: +1 pt - Breaking higher high: +1 pt **PUT Score (Max 9 points):** - Recent EMA cross down: +2 pts - EMA alignment (fast < slow): +1 pt - RSI in bearish range: +1 pt - Below VWAP: +1 pt - MACD bearish: +1 pt - Volume spike on red candle: +1 pt - Stochastic setup: +1 pt - Below 200 EMA: +1 pt - Breaking lower low: +1 pt --- ### Risk Management The strategy uses **ATR-based dynamic stops and targets**: | Parameter | Default | Description | |-----------|---------|-------------| | Stop Loss | 1.5x ATR | Distance below entry for longs, above for shorts | | Take Profit | 2.0x ATR | Creates a 1:1.33 risk-reward ratio | Positions are also closed on: - Opposite direction signal (flip trade) - Take profit or stop loss hit --- ### Session Filtering Trades are restricted to high-liquidity periods by default: - **Morning Session:** 9:30 AM - 11:00 AM EST - **Afternoon Session:** 2:30 PM - 3:55 PM EST This avoids choppy midday price action and captures the highest volume periods. --- ### Input Parameters | Parameter | Default | Description | |-----------|---------|-------------| | Fast EMA | 9 | Fast moving average period | | Slow EMA | 21 | Slow moving average period | | Trend EMA | 200 | Long-term trend filter | | RSI Length | 14 | RSI calculation period | | RSI Overbought | 65 | Upper RSI threshold | | RSI Oversold | 35 | Lower RSI threshold | | Volume Multiplier | 1.2x | Volume spike detection threshold | | Min Signal Strength | 4 | Minimum score required to trigger | | Crossover Lookback | 3 | Bars to consider crossover "recent" | | Min Bars Between Signals | 5 | Cooldown period between signals | --- ### Visual Elements **Chart Plots:** - Green line: 9 EMA (fast) - Red line: 21 EMA (slow) - Gray line: 200 EMA (trend) - Purple dots: VWAP **Signal Markers:** - Green triangle up + "CALL" label: Buy call signal - Red triangle down + "PUT" label: Buy put signal - Small circles: EMA crossover reference points **Info Table (Top Right):** - Real-time CALL and PUT scores - RSI, MACD, Stochastic values - VWAP and 200 EMA position - Recent crossover status - Current signal state --- ### Alerts | Alert Name | Trigger | |------------|---------| | CALL Entry | Standard call signal fires | | PUT Entry | Standard put signal fires | | Strong CALL | Call signal with score ≥ 6 | | Strong PUT | Put signal with score ≥ 6 | --- ### Recommended Usage | Setting | 0DTE Scalping | Intraday Swings | |---------|---------------|-----------------| | Timeframe | 1-2 min | 5 min | | Min Signal Strength | 5-6 | 4 | | ATR Stop Mult | 1.0 | 1.5 | | ATR TP Mult | 1.5 | 2.0 | | Option Delta | 0.40-0.50 | 0.30-0.40 | --- ### Key Improvements Over v1 1. **Requires actual crossover** - Eliminates false signals from simple trend continuation 2. **Balanced scoring** - Both directions evaluated equally, highest score wins 3. **Signal cooldown** - Prevents overtrading with minimum bar spacing 4. **Multi-indicator confluence** - 8 factors must align for signal generation 5. **Volume-candle alignment** - Volume spikes only count when matching candle direction --- ### Disclaimer This strategy is for educational purposes. Backtest thoroughly before live trading. Options trading involves significant risk of loss. Past performance does not guarantee future results.
Pine Script® ストラテジー
hakan_gul_79の投稿