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Candlestick analysis

Timeframe Continuity BarsTimeframe Continuity Bars is a script that is extremely simple for good reason So please, do not remove this post because it seems 'simple' Now that's over with. Lets dive in to understand what timeframe continuity IS and what this indicator does. Timeframe continuity is defined by 4 or more timeframes and it is the relationship of the last price traded to those 4 opening prices. Standard timeframe continuity would be using the M,W,D,60min timeframes. The reason we use MTF analysis is because of the truth of what price is and how it works. Price movement is SOLELY caused due to aggressive buying / selling. Some may attempt to refute this however at the end of the day. If the price is at 100.00 it is because a buyer is willing to buy there and a seller is willing to sell there. If those market participants did not want to buy or sell at 100.00 price would go up or down to meet the more aggressive participant. So what does this look like you may ask... If an aggressive buyer takes the offer we will see prices go up if they were willing to pay more than the last guy who took the offer. So price may go from 100.00 to 100.01 because you decided to invest in that stock that day at that time with a market order This same thing occurs when every other institution creates, adds, reduces, or exits a position. They have to buy or sell and they have to either do it aggressively or do it passively by sitting on the bid / ask and waiting. So since this is true, we know that the relationship to the opening price is extremely important. This is because if price is above it's open that means buyers were willing to take the offer and buy at higher prices. If price is below it's open it means that sellers were willing to sell at the bid and they sold at lower prices. So any candlestick chart is simply an aggregation of this aggressive buying/selling that is taking place at all times. By using the timeframe continuity bars indicator we can measure the distance from the current open across 4 or more timeframes. By doing this we can identify monthly participation groups, weekly participation groups, daily participation groups, and 60min participation groups. When all those groups align green or red this is considered full timeframe continuity. Where the monthly weekly daily 60min groups are all taking the offer and buying, or all selling at the bid! When this aligns this is when price is for CERTAIN going in one direction. However, It is subject to change every 60 minutes as the 60min determines if those monthly weekly daily buyers are present RIGHT NOW. So if the 60min changes we go into direct conflict against the month/week/day groups. If we see the 60min and day align we go into direct conflict against the month/week if the 60min day and week are red we over-take the monthly group for control. At the time of the week day and 60 being red we have ZERO evidence of the previous monthly buyer/seller that was present. Now that you understand a little bit about continuity.. Check it out on the chart! P.S Here is some tips 1) it is not about just all timeframes aligning, we want to see long green / red bars! 2) The opens reset on a cyclical basis. Each day, each week, each month... When the new timeframes open we will see timeframes have the SAME open. When the opens are the same price we have LESS evidence versus having all opens seperate. 3) Investors can use the Y Q M W as their 4 timeframes to see when institutional buying is occurring [go do a case study on AMEX:GLD and AMEX:SLV weekly timeframe with these settings] 4) You need to add 4 separate indicators and change the timeframes. It is ideal to then save this layout! 5) The best way to do price analysis is using #TheStrat across all 4 timeframes instead of one timeframe with this indicator. This is soley a tool we use to show changing of control between participation groups!
Pine Script®指标
由AlexsOptions提供
7
High-volume buy and sell signals with OB and FVGBuy and sell signals on ob Pivot Point Usage: Instead of detecting each candle of an opposite color, the script uses `ta.pivothigh/low`. This means it only marks a Pivot Point if the price has actually made a significant high or low relative to the 10 preceding and following candles. Dynamic Cleanup (Mitigation): As soon as the price returns to "fill" the area (depending on your choice: simple contact or close), the box disappears from the chart. This keeps your view clean and focused on the remaining untouched areas. Period Setting: You can increase the "Detection Period" (e.g., from 10 to 20) in the settings to filter out even more noise and keep only the major areas. How to use it?
Pine Script®指标
由peacefulOil34051提供
DayTradeMind Combined High Win Rate StrategyThe DayTradeMind Combined High Win Rate Strategy is a trend-following system that relies on confluence—the idea that a trade signal is stronger when multiple independent indicators agree. Instead of entering on a single indicator's whim, it uses a "voting" system to qualify entries and a strict risk-to-reward ratio to manage exits.Here is a breakdown of the three main layers of this strategy:1. The Voting Engine (Confluence Model)The strategy tracks four indicators and assigns a "point" for a bullish or bearish bias. It requires a minimum number of points (set by minConfirmations, usually 2/4) before it even considers a trade.IndicatorBullish Condition (1 point)Bearish Condition (1 point)PurposeMACDMACD Line > Signal LineMACD Line < Signal LineMeasures short-term momentum.DonchianPrice > 20-period MedianPrice < 20-period MedianIdentifies price relative to recent range.SuperTrendPrice above trend linePrice below trend lineFilters for the "Macro" trend direction.%B (Bollinger)Price in lower-mid range (0.2–0.5)Price in upper-mid range (0.5–0.8)Prevents buying when overextended.2. The Entry TriggerHaving enough "votes" (confirmations) isn't enough to enter. The strategy waits for a trigger event to ensure you aren't entering a stale trend. An entry only occurs if the minimum confirmations are met AND one of the following happens on the current bar:MACD Cross: The MACD line crosses over the signal line.Structural Break: The price crosses over the Donchian Middle (Median) line.This "Confirmation + Trigger" approach is designed to catch the start of a momentum push rather than buying a flat market.3. Mathematical Risk ManagementThe performance you see in your backtest (like the 46.86% return) is largely driven by the 2:1 Reward-to-Risk (RR) Ratio.Stop Loss (SL): Fixed at 2% below entry.Take Profit (TP): Fixed at 4% above entry.By aiming for a target twice as large as the risk, the strategy can remain profitable even with a win rate as low as 35%–40%. Mathematically, your winning trades compensate for more than two losing trades.Visualizing the SystemTriangles: Small green (up) and red (down) triangles appear on your chart only when the Votes + Trigger align perfectly.Background Shading: Faint green or red bands show you exactly when the "Confluence" is active. If the background is gray, the indicators are in conflict.Dashboard: The table in the top-right summarizes the current "score" for each indicator, letting you know how close you are to a potential trade signal.
Pine Script®策略
由day_trade_mind提供
BBMA By K1M4K-ID- Final Validated Re-Entry//@version=6 indicator("BBMA By K1M4K-ID- Final Validated Re-Entry", overlay=true, max_labels_count=500) // === INPUT BB === lengthBB = input.int(20, title="BB Period") devBB = input.float(2.0, title="Deviation") src = input.source(close, title="Source") bbColorMid = input.color(color.purple, title="Mid BB Color") bbColorTop = input.color(color.purple, title="Top BB Color") bbColorLow = input.color(color.purple, title="Low BB Color") showFill = input.bool(true, title="Show BB Fill") showReEntrySignals = input.bool(true, "Show Re-Entry Signals (✅)") showSignalTable = input.bool(true, "Show Signal Table") // === BB CALCULATION === basis = ta.sma(src, lengthBB) dev = devBB * ta.stdev(src, lengthBB) topBB = basis + dev lowBB = basis - dev // === PLOT BB === pMid = plot(basis, title="Mid BB", color=bbColorMid, linewidth=2) pTop = plot(topBB, title="Top BB", color=bbColorTop, linewidth=2) pLow = plot(lowBB, title="Low BB", color=bbColorLow, linewidth=2) fill(pTop, pLow, color=showFill ? color.new(color.purple, 85) : na, title="BB Fill") // === INPUT MA SETTING === ma_func(source, length) => ta.wma(source, length) // === MA HIGH/LOW === ma5_high = ma_func(high, 5) ma10_high = ma_func(high, 10) ma5_low = ma_func(low, 5) ma10_low = ma_func(low, 10) // === PLOT MA === p_ma5_high = plot(ma5_high, title="MA 5 High", color=color.green, linewidth=2) p_ma10_high = plot(ma10_high, title="MA 10 High", color=color.green, linewidth=2) fill(p_ma5_high, p_ma10_high, color=color.new(color.green, 85), title="MA High Fill") p_ma5_low = plot(ma5_low, title="MA 5 Low", color=color.red, linewidth=2) p_ma10_low = plot(ma10_low, title="MA 10 Low", color=color.red, linewidth=2) fill(p_ma5_low, p_ma10_low, color=color.new(color.red, 85), title="MA Low Fill") // === EMA 50 === ema50 = ta.ema(close, 50) plot(ema50, title="EMA 50", color=color.blue, linewidth=3) // === CSA KUKUH (LOGIKA ASLI LU - TIDAK DIUBAH) === var bool hasCsaBuy = false var bool hasCsaSell = false isCsaKukuhBuy = close > ma5_high and close > ma10_high and close > basis isCsaKukuhSell = close < ma5_low and close < ma10_low and close < basis if isCsaKukuhBuy and not hasCsaBuy hasCsaBuy := true hasCsaSell := false else if isCsaKukuhSell and not hasCsaSell hasCsaSell := true hasCsaBuy := false showCsaBuy = isCsaKukuhBuy and not hasCsaBuy showCsaSell = isCsaKukuhSell and not hasCsaSell plotshape(showCsaBuy, title="CSA Kukuh Buy First", location=location.belowbar, color=color.green, style=shape.labelup, text="CSAK", textcolor=color.white, size=size.small) plotshape(showCsaSell, title="CSA Kukuh Sell First", location=location.abovebar, color=color.red, style=shape.labeldown, text="CSAK", textcolor=color.white, size=size.small) // === CSM (HANYA SAAT KELUAR DARI DALAM BB) === wasInsideBB = (close >= lowBB and close <= topBB ) csmBuySignal = wasInsideBB and close > topBB csmSellSignal = wasInsideBB and close < lowBB plotshape(csmBuySignal, title="CSM Buy", location=location.abovebar, color=color.green, style=shape.triangleup, text="CSM", size=size.tiny) plotshape(csmSellSignal, title="CSM Sell", location=location.belowbar, color=color.red, style=shape.triangledown, text="CSM", size=size.tiny) // === CSA (BREAKOUT TANPA MELEWATI MID BB) === isCsaBuy = close > ma5_high and close > ma10_high and close <= basis isCsaSell = close < ma5_low and close < ma10_low and close >= basis plotshape(isCsaBuy, title="CSA Buy", location=location.belowbar, color=color.new(color.green, 60), style=shape.circle, text="CSA", size=size.tiny) plotshape(isCsaSell, title="CSA Sell", location=location.abovebar, color=color.new(color.red, 60), style=shape.circle, text="CSA", size=size.tiny) // === EXTREME === basis_ext = ta.sma(close, 20) dev_ext = 2 * ta.stdev(close, 20) isExtremeBuy() => ta.wma(low, 5) < basis_ext - dev_ext isExtremeSell() => ta.wma(high, 5) > basis_ext + dev_ext plotshape(isExtremeBuy(), title="Extreme Buy", location=location.belowbar, color=color.green, style=shape.labelup, text="E", size=size.tiny, textcolor=color.white) plotshape(isExtremeSell(), title="Extreme Sell", location=location.abovebar, color=color.red, style=shape.labeldown, text="E", size=size.tiny, textcolor=color.white) // === ZZL MA === isZzlBuy = (ma5_high > basis and ma10_high > basis and ma5_low > basis and ma10_low > basis and (ma5_high <= basis or ma10_high <= basis or ma5_low <= basis or ma10_low <= basis)) isZzlSell = (ma5_high < basis and ma10_high < basis and ma5_low < basis and ma10_low < basis and (ma5_high >= basis or ma10_high >= basis or ma5_low >= basis or ma10_low >= basis)) var bool zzlBuyShown = false var bool zzlSellShown = false if isZzlBuy and not zzlBuyShown label.new(bar_index, low, "Z", style=label.style_label_up, color=color.green, textcolor=color.white) zzlBuyShown := true if not isZzlBuy zzlBuyShown := false if isZzlSell and not zzlSellShown label.new(bar_index, high, "Z", style=label.style_label_down, color=color.red, textcolor=color.white) zzlSellShown := true if not isZzlSell zzlSellShown := false // =========================================== // === VALIDASI + RE-ENTRY (H4 & H1) === // =========================================== // --- Ambil data --- = request.security(syminfo.tickerid, "240", ) wasInside_h4 = request.security(syminfo.tickerid, "240", (close >= (ta.sma(close, lengthBB) - devBB * ta.stdev(close, lengthBB) ) and close <= (ta.sma(close, lengthBB) + devBB * ta.stdev(close, lengthBB) ))) csmBuy_h4 = wasInside_h4 and request.security(syminfo.tickerid, "240", close > (ta.sma(close, lengthBB) + devBB * ta.stdev(close, lengthBB))) csmSell_h4 = wasInside_h4 and request.security(syminfo.tickerid, "240", close < (ta.sma(close, lengthBB) - devBB * ta.stdev(close, lengthBB))) csakBuy_h4 = close_h4 > ma5h_h4 and close_h4 > ma10h_h4 and close_h4 > basis_h4 csakSell_h4 = close_h4 < ma5l_h4 and close_h4 < ma10l_h4 and close_h4 < basis_h4 csaBuy_h4 = close_h4 > ma5h_h4 and close_h4 > ma10h_h4 and close_h4 <= basis_h4 csaSell_h4 = close_h4 < ma5l_h4 and close_h4 < ma10l_h4 and close_h4 >= basis_h4 csmBuy_h1 = request.security(syminfo.tickerid, "60", (close >= (ta.sma(close, lengthBB) - devBB * ta.stdev(close, lengthBB) ) and close <= (ta.sma(close, lengthBB) + devBB * ta.stdev(close, lengthBB) )) and close > (ta.sma(close, lengthBB) + devBB * ta.stdev(close, lengthBB))) csmSell_h1 = request.security(syminfo.tickerid, "60", (close >= (ta.sma(close, lengthBB) - devBB * ta.stdev(close, lengthBB) ) and close <= (ta.sma(close, lengthBB) + devBB * ta.stdev(close, lengthBB) )) and close < (ta.sma(close, lengthBB) - devBB * ta.stdev(close, lengthBB))) csakBuy_h1 = request.security(syminfo.tickerid, "60", close > ta.wma(high,5) and close > ta.wma(high,10) and close > ta.sma(close, lengthBB)) csakSell_h1 = request.security(syminfo.tickerid, "60", close < ta.wma(low,5) and close < ta.wma(low,10) and close < ta.sma(close, lengthBB)) csaBuy_h1 = request.security(syminfo.tickerid, "60", close > ta.wma(high,5) and close > ta.wma(high,10) and close <= ta.sma(close, lengthBB)) csaSell_h1 = request.security(syminfo.tickerid, "60", close < ta.wma(low,5) and close < ta.wma(low,10) and close >= ta.sma(close, lengthBB)) csmBuy_m15 = request.security(syminfo.tickerid, "15", close > (ta.sma(close, lengthBB) + devBB * ta.stdev(close, lengthBB))) csmSell_m15 = request.security(syminfo.tickerid, "15", close < (ta.sma(close, lengthBB) - devBB * ta.stdev(close, lengthBB))) csakBuy_d = request.security(syminfo.tickerid, "D", close > ta.wma(high,5) and close > ta.wma(high,10) and close > ta.sma(close, lengthBB)) csakSell_d = request.security(syminfo.tickerid, "D", close < ta.wma(low,5) and close < ta.wma(low,10) and close < ta.sma(close, lengthBB)) csaBuy_d = request.security(syminfo.tickerid, "D", close > ta.wma(high,5) and close > ta.wma(high,10) and close <= ta.sma(close, lengthBB)) csaSell_d = request.security(syminfo.tickerid, "D", close < ta.wma(low,5) and close < ta.wma(low,10) and close >= ta.sma(close, lengthBB)) // --- Validasi --- validCsakH4Buy = csakBuy_h4 and ta.highest(csmBuy_h1 ? 1 : 0, 4) == 1 validCsakH4Sell = csakSell_h4 and ta.highest(csmSell_h1 ? 1 : 0, 4) == 1 validCsakH1Buy = csakBuy_h1 and ta.highest(csmBuy_m15 ? 1 : 0, 4) == 1 validCsakH1Sell = csakSell_h1 and ta.highest(csmSell_m15 ? 1 : 0, 4) == 1 validCsmH1Buy = csmBuy_h1 and (csaBuy_h4 or csakBuy_h4) and ta.highest(csmBuy_m15 ? 1 : 0, 4) == 1 validCsmH1Sell = csmSell_h1 and (csaSell_h4 or csakSell_h4) and ta.highest(csmSell_m15 ? 1 : 0, 4) == 1 validCsmH4Buy = csmBuy_h4 and (csaBuy_d or csakBuy_d) and ta.highest(csmBuy_h1 or csmSell_h1 ? 1 : 0, 4) == 1 validCsmH4Sell = csmSell_h4 and (csaSell_d or csakSell_d) and ta.highest(csmBuy_h1 or csmSell_h1 ? 1 : 0, 4) == 1 // --- Re-Entry Area --- inReEntryBuy = low <= math.max(ma5_low, ma10_low) inReEntrySell = high >= math.min(ma5_high, ma10_high) // --- Flag Valid + Hit Detection --- var bool vCsakH4B = false, vCsakH4S = false var bool vCsakH1B = false, vCsakH1S = false var bool vCsmH4B = false, vCsmH4S = false var bool vCsmH1B = false, vCsmH1S = false var bool hitCsakH4B = false, hitCsakH4S = false var bool hitCsakH1B = false, hitCsakH1S = false var bool hitCsmH4B = false, hitCsmH4S = false var bool hitCsmH1B = false, hitCsmH1S = false // Reset hit setiap candle hitCsakH4B := false hitCsakH4S := false hitCsakH1B := false hitCsakH1S := false hitCsmH4B := false hitCsmH4S := false hitCsmH1B := false hitCsmH1S := false // Aktifkan flag saat valid vCsakH4B := validCsakH4Buy ? true : vCsakH4B vCsakH4S := validCsakH4Sell ? true : vCsakH4S vCsakH1B := validCsakH1Buy ? true : vCsakH1B vCsakH1S := validCsakH1Sell ? true : vCsakH1S vCsmH4B := validCsmH4Buy ? true : vCsmH4B vCsmH4S := validCsmH4Sell ? true : vCsmH4S vCsmH1B := validCsmH1Buy ? true : vCsmH1B vCsmH1S := validCsmH1Sell ? true : vCsmH1S // Deteksi & reset saat re-entry if vCsakH4B and inReEntryBuy hitCsakH4B := true vCsakH4B := false if vCsakH4S and inReEntrySell hitCsakH4S := true vCsakH4S := false if vCsakH1B and inReEntryBuy hitCsakH1B := true vCsakH1B := false if vCsakH1S and inReEntrySell hitCsakH1S := true vCsakH1S := false if vCsmH4B and inReEntryBuy hitCsmH4B := true vCsmH4B := false if vCsmH4S and inReEntrySell hitCsmH4S := true vCsmH4S := false if vCsmH1B and inReEntryBuy hitCsmH1B := true vCsmH1B := false if vCsmH1S and inReEntrySell hitCsmH1S := true vCsmH1S := false // --- Plot Re-Entry --- //plotshape(showReEntrySignals and hitCsakH4B, location=location.belowbar, color=color.teal, style=shape.labelup, text="✅", size=size.normal) //plotshape(showReEntrySignals and hitCsakH4S, location=location.abovebar, color=color.orange, style=shape.labeldown, text="✅", size=size.normal) //plotshape(showReEntrySignals and hitCsakH1B, location=location.belowbar, color=color.green, style=shape.labelup, text="✅", size=size.small) //plotshape(showReEntrySignals and hitCsakH1S, location=location.abovebar, color=color.red, style=shape.labeldown, text="✅", size=size.small) //plotshape(showReEntrySignals and hitCsmH1B, location=location.belowbar, color=color.green, style=shape.labelup, text="✅ CSM", size=size.tiny) //plotshape(showReEntrySignals and hitCsmH1S, location=location.abovebar, color=color.red, style=shape.labeldown, text="✅ CSM", size=size.tiny) //plotshape(showReEntrySignals and hitCsmH4B, location=location.belowbar, color=color.teal, style=shape.labelup, text="✅ CSM", size=size.tiny) //plotshape(showReEntrySignals and hitCsmH4S, location=location.abovebar, color=color.orange, style=shape.labeldown, text="✅ CSM", size=size.tiny) // =========================================== // === TABEL SIGNAL H1 & H4 (FINAL) === // =========================================== var table sigTable = table.new(position.top_right, 4, 5, border_width=1) if barstate.islast and showSignalTable table.cell(sigTable, 0, 0, "TF", text_color=color.white, bgcolor=color.black) table.cell(sigTable, 1, 0, "Signal", text_color=color.white, bgcolor=color.black) table.cell(sigTable, 2, 0, "Status", text_color=color.white, bgcolor=color.black) table.cell(sigTable, 3, 0, "Re-Entry", text_color=color.white, bgcolor=color.black) table.cell(sigTable, 0, 1, "H4", text_color=color.white, bgcolor=color.black) table.cell(sigTable, 1, 1, "CSAK Buy", text_color=color.green, bgcolor=color.new(color.green, 90)) table.cell(sigTable, 2, 1, vCsakH4B ? "✅ Valid" : "-", text_color=vCsakH4B ? color.green : color.gray, bgcolor=color.new(vCsakH4B ? color.green : color.gray, 90)) table.cell(sigTable, 3, 1, hitCsakH4B ? "✅ Hit" : "-", text_color=hitCsakH4B ? color.teal : color.gray, bgcolor=color.new(hitCsakH4B ? color.teal : color.gray, 90)) table.cell(sigTable, 0, 2, "H4", text_color=color.white, bgcolor=color.black) table.cell(sigTable, 1, 2, "CSAK Sell", text_color=color.red, bgcolor=color.new(color.red, 90)) table.cell(sigTable, 2, 2, vCsakH4S ? "✅ Valid" : "-", text_color=vCsakH4S ? color.red : color.gray, bgcolor=color.new(vCsakH4S ? color.red : color.gray, 90)) table.cell(sigTable, 3, 2, hitCsakH4S ? "✅ Hit" : "-", text_color=hitCsakH4S ? color.orange : color.gray, bgcolor=color.new(hitCsakH4S ? color.orange : color.gray, 90)) table.cell(sigTable, 0, 3, "H1", text_color=color.white, bgcolor=color.black) table.cell(sigTable, 1, 3, "CSM Buy", text_color=color.green, bgcolor=color.new(color.green, 90)) table.cell(sigTable, 2, 3, vCsmH1B ? "✅ Valid" : "-", text_color=vCsmH1B ? color.green : color.gray, bgcolor=color.new(vCsmH1B ? color.green : color.gray, 90)) table.cell(sigTable, 3, 3, hitCsmH1B ? "✅ Hit" : "-", text_color=hitCsmH1B ? color.teal : color.gray, bgcolor=color.new(hitCsmH1B ? color.teal : color.gray, 90)) table.cell(sigTable, 0, 4, "H1", text_color=color.white, bgcolor=color.black) table.cell(sigTable, 1, 4, "CSM Sell", text_color=color.red, bgcolor=color.new(color.red, 90)) table.cell(sigTable, 2, 4, vCsmH1S ? "✅ Valid" : "-", text_color=vCsmH1S ? color.red : color.gray, bgcolor=color.new(vCsmH1S ? color.red : color.gray, 90)) table.cell(sigTable, 3, 4, hitCsmH1S ? "✅ Hit" : "-", text_color=hitCsmH1S ? color.orange : color.gray, bgcolor=color.new(hitCsmH1S ? color.orange : color.gray, 90))
Pine Script®指标
由groupyphantom提供
ORB + Key Session Levels (QC)Overview A comprehensive session-based levels indicator that plots Opening Range Breakout (ORB) levels alongside key session highs and lows from Asian, London, and New York trading sessions. Features • Opening Range Breakout (ORB) with configurable duration (5m/15m/30m/1hr/custom) • Previous Day High/Low with two modes: RTH Only (9:30-4:00 ET) or Full Session (6pm-5pm ET for futures) • Asian, London, NY AM, and NY PM session levels • Kill Zones mode (non-overlapping) vs Full Sessions mode • Fair Value Gap detection with optional mitigation removal • HTF Bias dashboard showing market structure • Lines extend from the exact candle where highs/lows occurred • Alerts for all level breaks Kill Zone Defaults (ET) • Asian: 8:00 PM - 12:00 AM • London: 2:00 AM - 5:00 AM • NY AM: 8:30 AM - 11:00 AM • NY PM: 1:30 PM - 4:00 PM How To Use 1. Select Session Mode (Kill Zones or Full Sessions) 2. Choose PDH/PDL Source (RTH for equities, Full Session for futures) 3. Customize session times as needed 4. Set up alerts for level breaks All times are in Eastern Time (ET) and fully customizable. This indicator is for educational purposes only. Not financial advice.
Pine Script®指标
由QuantCrawler提供
Anhnga4.0 - Filter ToggleINPUTS: 1.5 0.8 (OR 1.6 0.5/0.6) BE=0.45 1 MAs: 35 135 7 This Pine Script code defines a trading strategy named **"Anhnga4.0 - Filter Toggle"**. It is a trend-following strategy that uses momentum oscillators and moving averages to identify entries, while featuring a specific "Overextension Filter" to avoid buying at the top or selling at the bottom. Here is a breakdown of how the script works: --- ## 1. Core Trading Logic (The Entry) The strategy looks for a "perfect storm" of three factors before entering a trade: * **Momentum (WaveTrend):** It uses the WaveTrend oscillator (`wt1` and `wt2`). * **Long:** A bullish crossover happens while the oscillator is below the zero line (oversold). * **Short:** A bearish crossunder happens while the oscillator is above the zero line (overbought). * **Trend Confirmation:** The price must be on the "correct" side of three different lines: the 20-period Moving Average (BB Basis), the 50-period SMA, and the 200-period SMA. * **The Window:** You don't have to enter exactly on the cross. The `Signal Window` allows the trade to trigger up to 4 bars after the momentum cross, provided the trend filters align. ## 2. The "Overextension" Filter This is a unique feature of this script. It calculates the distance between the current price and the **50-period Moving Average**. * If the price is too far away from the MA (defined by the **ATR Limit**), the script assumes the move is "exhausted." * If `Enable Overextension Filter?` is on, the strategy will skip these trades to avoid "chasing the pump." * **Visual Cue:** The chart background turns **purple** when the price is considered overextended. --- ## 3. Risk Management & Exit Strategy The script manages trades dynamically using Bollinger Bands and Risk:Reward ratios: | Feature | Description | | --- | --- | | **Stop Loss (SL)** | Set at the **Lower Bollinger Band** for Longs and **Upper Band** for Shorts. | | **Take Profit (TP)** | Calculated based on your **RR Ratio** (default is 2.0). If your risk is $10, it sets the target at $20 profit. | | **Breakeven** | A "protection" feature. Once the price moves in your favor by a certain amount (the `Breakeven Trigger`), the script moves the Stop Loss to your entry price to ensure a "risk-free" trade. | --- ## 4. Visual Elements on the Chart * **Green Lines:** Your target price (TP). * **Red Lines:** Your initial Stop Loss. * **Yellow Lines:** Indicates the Stop Loss has been moved to **Breakeven**. * **Purple Background:** High alert—price is overextended; trades are likely being filtered out. --- ## Summary of Settings * **BB Multiplier:** Controls how wide your initial stop loss is. * **ATR Limit:** Controls how sensitive the "Overextension" filter is (higher = more trades allowed; lower = stricter filtering). * **Breakeven Trigger:** Set to 1.0 by default, meaning once you are "1R" (profit equals initial risk) in profit, the stop moves to entry.
Pine Script®策略
由ngamei2912提供
DkS Market Structure Breakout Strategy Crypto & ForexDkS Market Structure Breakout Strategy Crypto & Forex 🔍 Overview DkSPro – Universal Market Analysis is a structure-based trading strategy designed for Crypto and Forex markets, focused on trend alignment, breakout confirmation, and volume validation. This strategy is built to filter low-quality trades, avoid ranging conditions, and reduce false breakouts by requiring multiple layers of confirmation before any trade is executed. It is intended for scalping and intraday trading, prioritizing consistency and risk control over trade frequency. 🧠 Strategy Logic (How It Works) DkSPro follows a sequential decision process, not a single-indicator signal: Trend Bias (EMA Structure) A fast and slow EMA define the directional bias. Long trades are only allowed during bullish EMA alignment. Short trades are only allowed during bearish EMA alignment. This prevents counter-trend and ranging-market entries. Market Structure & Breakout Validation The strategy identifies recent swing highs and lows. Trades are triggered only after a confirmed breakout of structure, not during consolidation. This avoids early entries and false momentum moves. Volume Confirmation Volume must exceed its moving average by a defined multiplier. This ensures participation and filters out low-liquidity breakouts. Volume thresholds adapt depending on the selected trading mode. Momentum Confirmation (RSI) RSI is used strictly as a momentum filter, not as a standalone signal. It confirms that price movement aligns with the breakout direction. Risk Management (Mandatory) Every position includes a predefined Stop Loss and Take Profit. Position sizing is based on a fixed percentage of equity, keeping risk per trade within sustainable limits. All conditions must align simultaneously; otherwise, no trade is executed. ⚙️ Trading Modes SAFE Mode Stronger volume and RSI thresholds Fewer trades, higher selectivity Designed for risk control and consistency AGGRESSIVE Mode Slightly relaxed filters Higher trade frequency during strong momentum Intended for experienced users only 📊 Markets & Assets This strategy has been actively used and tested on: 🟢 Crypto (Binance / Binance.US) SOL-USDT XRP-USDT Other high-liquidity pairs (BTC, ETH) Crypto mode benefits from stronger volume confirmation to adapt to higher volatility. 🔵 Forex Major pairs such as EURUSD, GBPUSD, USDJPY Optimized for liquid markets with lower relative volume The same structural logic applies to both markets, with volume behavior naturally adapting to each asset class. ⏱ Recommended Timeframes Crypto: 5m – 15m Forex: 15m – 1H Lower timeframes (1m) are not recommended due to noise and unreliable volume behavior. 🧪 Backtesting & Settings Transparency Default strategy properties are intentionally conservative to reflect realistic conditions: Initial capital: $20,000 Position size: 2% of equity Commission: 0.08% Slippage: 1 tick Fixed Stop Loss and Take Profit on every trade Backtests should be performed on sufficient historical data (ideally 6–12 months) to ensure a statistically meaningful sample size (100+ trades). 📈 Originality & Usefulness DkSPro is not a simple indicator mashup. Each component serves a specific role in a layered confirmation system: EMAs define direction Structure defines timing Volume validates participation RSI confirms momentum Risk management controls exposure Removing any layer significantly reduces signal quality. The strategy is designed as a complete decision framework, not a signal generator. ⚠️ Important Notes This script is an analysis and execution tool, not financial advice. Market conditions change, and no strategy performs well in all environments. Users are encouraged to backtest, forward test, and adjust position sizing according to their own risk tolerance. 🧩 Version Notice This publication represents a consolidated and refined version of an internal experimental script. No parallel or duplicate versions are intended. All future improvements will be released exclusively using TradingView’s Update feature. 🇪🇸 Descripción en Español (Resumen) DkSPro es una estrategia basada en estructura de mercado, diseñada para Crypto y Forex, que combina tendencia, ruptura de estructura, volumen y control de riesgo. Solo opera cuando todas las condiciones se alinean, evitando rangos, falsas rupturas y sobreoperar. Ha sido utilizada en Binance con pares como SOL-USDT y XRP-USDT, así como en Forex, siempre con gestión de riesgo fija y condiciones realistas.
Pine Script®策略
由dksniewieders提供
ORB Breakout Strategy📊 Overview 📈 Systematic intraday Opening Range Breakout (ORB) strategy 🧭 Designed for index CFDs (e.g. US500) ⏱️ Optimized for 5-minute charts during regular trading hours 🛡️ Strict risk management and position sizing 🚦 Maximum one trade per day 💡 Core Idea 🌅 The market establishes a key price range shortly after the open 🚀 A confirmed breakout from this opening range can signal directional momentum 🎯 The strategy trades only confirmed breakouts with predefined risk 📐 Opening Range Definition ⏰ Opening range is defined between 09:30 and 09:45 (exchange time) 🕯️ Uses the first three 5-minute candles of the session ⬆️ Opening Range High is the highest high of those candles ⬇️ Opening Range Low is the lowest low of those candles 🟢 Long Trade 📊 A 5-minute candle closes above the Opening Range High 🟩 A Fair Value Gap (FVG) exists relative to the candle 10 minutes earlier 🧲 A buy limit order is placed at the Opening Range High 🔴 Short Trade 📉 A 5-minute candle closes below the Opening Range Low 🟥 A Fair Value Gap (FVG) exists relative to the candle 10 minutes earlier 🧲 A sell limit order is placed at the Opening Range Low 🛑 Stop Loss 📉 Long trades use the low of the candle 10 minutes before the breakout 📈 Short trades use the high of the candle 10 minutes before the breakdown 🎯 Take Profit ⚖️ Fixed reward-to-risk ratio of 2:1 📏 Take profit distance equals two times the stop loss distance 💰 Position Sizing 💵 Fixed dollar risk per trade (default: $2,000) 📐 Position size is calculated dynamically based on stop loss distance 🔁 Risk remains consistent across changing volatility conditions ⏳ Trade Management Rules 🚦 Maximum one trade per day, including same-bar entries and exits 🕛 No new entries after 12:00 (exchange time) ⏰ All open positions are closed at 15:50 ❌ Pending orders are cancelled after the entry cutoff or at session end ⚙️ Execution & Costs 💸 Commission model can be configured in the strategy settings 🧪 Backtests use TradingView Strategy Tester mechanics 📝 Notes 📚 This is a rules-based trading strategy, not a signal service 🔍 Results depend on instrument, broker feed, spreads, and commissions 🧠 Forward testing is strongly recommended before live trading ⚠️ Disclaimer 📖 This script is provided for educational and research purposes only 🚫 It does not constitute financial advice 🔥 Trading leveraged instruments involves significant risk
Pine Script®策略
由chartsquare提供
XAUUSD Mean Reversion Strategy Gold (ATR and RSI)The XAUUSD Mean Reversion Strategy – Gold v6 is a non-repainting TradingView strategy designed specifically for Gold (XAUUSD). It capitalizes on price overextensions and statistically probable pullbacks toward the mean, a behavior Gold frequently exhibits during active market sessions. 🔍 Strategy Logic Uses EMA 50 as the mean price reference Detects overextended conditions with RSI (14) Trades are taken only when price deviates significantly from the mean Designed for both long and short positions 📈 Entry Conditions Long Trades Price below EMA 50 RSI below oversold level Short Trades Price above EMA 50 RSI above overbought level 📉 Exit & Risk Management ATR-based Stop Loss adapts to Gold’s volatility Take Profit Options Mean reversion back to EMA Fixed ATR-based risk-to-reward One trade at a time to control exposure ⚙️ Features Fully backtestable Non-repainting Optimized for XAUUSD volatility Adjustable inputs for optimization Works best on 5m–30m timeframes 📊 Recommended Use XAUUSD (Gold) London & New York sessions Intraday mean-reversion traders ⚠️ This strategy is for educational and research purposes only. Always perform your own testing and risk management before using it in live markets.
Pine Script®策略
由JaxonJackFX提供
Prop Firm EMA RSI Pullback (HTF Bias)by ShuvoHigher Timeframe (HTF) Bias — The Boss Sets the Rules Purpose: You don’t fight institutions. You follow their footprints. Logic: Use a Higher Timeframe (usually H4 or D1) Apply: EMA 200 (trend ruler) Optional: EMA 50 for confirmation Bias Rules: Bullish Bias Price above EMA 200 EMA 200 sloping up Bearish Bias Price below EMA 200 EMA 200 sloping down 🚫 If price is chopping around EMA 200 → NO TRADE Prop firms love discipline, not gamblers.
Pine Script®指标
由shuvo3377x提供
Hazmeed HTF Candles Aligned)HTF Candles Overlay (v6, Aligned + Accurate Wicks) This indicator overlays higher timeframe candles on your current chart. It allows you to visually compare HTF price action directly on your lower timeframe chart without switching timeframes. ⭐ Features Displays Higher Timeframe (HTF) candles on the current chart Fully aligned to HTF candle start time Option to show accurate wicks Supports configurable: HTF timeframe (e.g., 1D, 4H, 1W) Number of HTF candles displayed Candle width (in bars) Bull/Bear colors and wick color
Pine Script®指标
由hasanmev提供
1
Broadening Formation Reclaim Stats v1.0Description: Broadening Formation Reclaim Stats v1.0 Overview The Broadening Formation Reclaim Stats is a technical analysis tool designed to track and quantify "reclaim" price action within expanding market structures (Broadening Formations). It focuses on scenarios in which price breaches a prior Swing High or Swing Low and subsequently rotates back into the range, often signaling a potential reversal toward the opposite side of the formation. This indicator is built for traders who study price action rotations, "The Strat" (Rev 2-2 / Failed 2-Down/Up), and liquidity sweeps. How It Works The script utilizes a state-machine logic to track price movements relative to high and low pivots: 1. Structure Identification: It identifies recent Pivot Highs and Lows (Auto-Swing mode) or allows users to input specific price levels (Manual mode). 2. The Breach: It identifies when price breaks above the established high or below the established low, "locking" the structure for a potential reclaim. 3. The Reclaim: A signal is generated when price moves back inside the range using specific price action triggers: Rev 2-2: A reversal pattern where price reverses the direction of the previous candle. Failed 2-Down/Up: Price makes a new wick extreme but closes back within the previous candle's range and below its opening price. 4. Targets: The script considers a reclaim "Successful" if price reaches the opposite side of the broadening formation (the opposing pivot). Key Features Backtesting Dashboard: A real-time table displaying the total number of reclaims, global success rates, and a breakdown of Bullish vs. Bearish performance. Flexible Lookbacks: Statistics can be calculated based on the entire chart history, "Today Only" (for day traders), or a specific number of bars. Dual Mode Detection: Choose between **Auto Swing** detection (based on a user-defined pivot length) or **Manual** mode for specific levels. Optimized Visuals: Uses the Pine Script Plot Engine for core levels to ensure price-scale stability and "Box Objects" for clear pivot visualization. Settings Swing Length: Adjust the sensitivity of the pivot detection. BF Mode: Toggle between automatic pivot tracking or manual price entry. Statistics Start Mode: Filter the data displayed in the table to focus on recent price action or historical performance. UI Customization: Fully adjustable table position, size, and transparency. Disclaimer This indicator is for educational and research purposes only. It tracks historical price action patterns and does not constitute financial advice. Past performance (success rates) as displayed in the dashboard is not an indicator of future results.
Pine Script®指标
由hardwaybets提供
Daily Support/Resistance Points (Historical Days)indicator plots support and resistance levels derived from historical price action. It analyzes higher‑timeframe candles (Daily/Weekly/Monthly) and ranks levels by strength and number of touches, then draws the most relevant levels around the current price. If no strong levels are found, it falls back to touch‑based levels so you still get meaningful lines. How to Use: Add the script to any chart. Choose Levels Timeframe: Auto (recommended): follows the chart timeframe (D/W/M). D / W / M: force a specific timeframe. Set lookback windows: Lookback Days (D) – default 200 Lookback Weeks (W) – default 104 Lookback Months (M) – default 60 Adjust sensitivity: Min Strength – filters weaker levels. Volume Multiplier – requires higher volume for stronger levels. Time Decay – gives more weight to recent data. Min Touches (Fallback) – used when no strong levels are found. Optional: enable Show Debug Info to see how many levels are detected. Open Source & License: This script is open source under the MIT License. You are свободно to use, modify, and share it with attribution. Author / Contact: Ron Belson For questions or requests, contact: ronbelson@gmail.com
Pine Script®指标
由ronibelson提供
XAUUSD Bullish Continuation StrategyThis strategy is designed for trading Gold (XAUUSD) on the M15 timeframe using a bullish continuation and breakout structure. It identifies strong uptrend conditions using EMA trend confirmation and enters buy positions on either a breakout above resistance or a retest of the breakout zone. The strategy follows a disciplined risk-management model with a fixed stop loss and multiple take-profit targets for partial profit scaling. Core Features: • Trend confirmation using EMA 20 & EMA 50 • Breakout and retest buy entries • Strong momentum continuation logic • Fixed stop-loss protection • Multi take-profit scaling (TP1, TP2, TP3) • Backtest-ready TradingView strategy Best Market Conditions: Works best during strong bullish sessions (London & New York) when gold shows high volatility and directional momentum. Recommended Timeframe: M15 (can be optimized for M5–M30)
Pine Script®策略
由JaxonJackFX提供