ORB Strategy: Extensions & Custom SL (EOD & Live Lines)That's a great request. Since you've now built a complex Pine Script Strategy with several user-configurable risk management, targeting, and exit options, the description should focus on the systematic rules used for entering, managing, and exiting trades.
Here is a clear, written description of the trading strategy you have built:
Trading Strategy Description: ORB Extension Breakout with Custom Stop, Live Tracking, and EOD Exit
This strategy is a systematic, momentum-based system designed for intraday trading. It operates on the principle of an Opening Range Breakout (ORB), utilizing the initial market consolidation to project high-probability targets, while offering multiple methods for managing risk and enforcing a mandatory end-of-day closure.
1. Market Identification (The Opening Range)
The strategy first defines the market's initial boundaries and volatility:
Session Window: The strategy calculates the Opening Range (OR) over a user-defined time period (default: 9:30 AM to 10:30 AM New York Time).
ORB Levels: Two key price levels are established and locked once the time window closes:
Wick High/Low: The absolute highest and lowest prices of the session. These serve as the entry trigger lines.
Body High/Low (Shaded Range): The highest and lowest open/close prices of the session. The height of this range is used as the basis for calculating all targets and stops.
2. Entry Rule (The Breakout)
The strategy waits passively for a breakout that confirms direction and ensures the move has not yet reached its immediate target.
Trigger Condition: A trade is signaled when a candle closes either:
Above the Wick High (for a Long entry).
Below the Wick Low (for a Short entry).
Constraint (Fresh Breakout): The entry is invalidated if the breakout candle's price action (High for Long, Low for Short) has already touched or surpassed the projected Take Profit (0.5 Extension) level before the candle closes.
Execution: The entry is a Market Order executed on the candle that meets the trigger conditions, subject to a user-defined Entry Delay (default 0 bars).
Direction Control: The user can select to trade Long Only, Short Only, or Both.
3. Exit and Risk Management
All trades are placed with simultaneous Take Profit and Stop Loss orders (a bracket order) upon entry.
A. Take Profit (TP)
The Take Profit is set at the 0.5 Extension of the Shaded Range (Body Range).
Calculation: The distance from the Body High/Low to the TP level is exactly 50% of the total height of the Shaded Range.
B. Stop Loss (SL)
The Stop Loss is dynamically calculated based on a user-selected method for risk control:
Range 0.5 (Body Range): The SL is placed an equal distance (0.5 times the Body Range height) outside the opposite side of the Body Range.
ATR Multiple: The Stop Loss distance is calculated as a user-defined Multiplier times the Average True Range (ATR).
Recent Swing Low/High: The Stop Loss is placed based on a structural low (for Long) or high (for Short) within a user-defined lookback period.
C. End-of-Day (EOD) Exit
Any open position is forced closed at the market price if it is still open when the user-defined closing time (default: 16:00 HHMM) is reached. This prevents carrying intraday risk overnight.
4. Visualization
The strategy includes comprehensive visual cues for analysis:
ORB Drawing: Displays the Wick High/Low and the shaded Body Range.
Breakout Signals: Highlights the specific bar where the validated entry signal occurs.
Closed Trades: Draws persistent lines for the Entry and Exit prices of the last few closed trades.
Live Open Trades: Draws persistent lines for the current Entry Price, active Take Profit Level, and active Stop Loss Level for any open position.
Chart patterns
DR/IDR Break .5 TPDR/IDR Extension Breakout with Custom Stop
This strategy is a systematic, counter-trend, and momentum-based system designed for intraday trading. It operates on the principle of an Opening Range Breakout (ORB), utilizing the initial market consolidation to project high-probability targets, while offering multiple methods for managing risk.
1. Market Identification (The Opening Range)
The strategy begins by defining the market's initial boundaries and volatility:
Session Window: The strategy calculates the Opening Range (OR) over a user-defined time period (default: 9:30 AM to 10:30 AM New York Time).
ORB Levels: Two key price levels are established and locked once the time window closes:
Wick High/Low: The absolute highest and lowest prices of the session. These serve as the entry trigger lines.
Body High/Low (Shaded Range): The highest and lowest open/close prices of the session. The height of this range is used to calculate the Take Profit and Stop Loss levels.
2. Entry Rule (The Breakout)
The strategy is passive until the range is violated, looking for a strong move out of the consolidation area.
Trigger Condition: A trade is signaled when a candle closes either:
Above the Wick High (for a Long entry).
Below the Wick Low (for a Short entry).
Execution: The entry is a Market Order executed on the candle that meets the trigger condition, subject to a user-defined Entry Delay (default 0 bars, meaning the entry is taken immediately upon the breakout candle's close).
Direction Control: The user can select to trade Long Only, Short Only, or Both.
3. Exit and Risk Management
All trades are placed with simultaneous Take Profit and Stop Loss orders (a bracket order) once the entry is filled.
A. Take Profit (TP)
The Take Profit is set at the 0.5 Extension of the Shaded Range (Body Range).
Calculation: The distance from the Body High/Low to the TP level is exactly 50% of the total height of the Shaded Range.
B. Stop Loss (SL)
The Stop Loss is dynamically calculated based on a user-selected method for risk control:
Range 0.5 (Body Range): The Stop Loss is placed an equal distance (0.5 times the Body Range height) outside the opposite side of the Body Range.
Example (Long): If entry is above the Wick High, the SL is set 0.5 times the Body Range height below the Body Low.
ATR Multiple: The Stop Loss distance is determined by the asset's recent volatility.
Calculation: The distance is calculated as a user-defined Multiplier (default 2.0) times the Average True Range (ATR).
Recent Swing Low/High: The Stop Loss is placed based on a structural level defined by recent price action.
Long Entry: SL is placed at the Lowest Swing Low within a user-defined lookback period.
Short Entry: SL is placed at the Highest Swing High within a user-defined lookback period.
Summary of Workflow
The market sets the Wick and Body boundaries (e.g., 9:30–10:30 AM).
Price breaks and closes beyond a Wick boundary, triggering a signal.
The trade enters after the specified delay.
A bracket order is placed: TP is fixed at the 0.5 Extension, and SL is set based on the user's chosen risk method.
The trade is closed upon reaching either the TP or the SL level.
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.
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).
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.
Keltner Channels Strategy NewThe strategy is chenging the same as an original copy, but this one is for tests, so I will publish it and check results
N1E_UTBOATN1E_UTBOAT
ATR trailing stop
Optional Heikin Ashi source
Buy/Sell signals based on a crossover of price vs ATR trailing stop
Strategy long/short entries
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)
ETH UU Reversion Strategy Strategy Overview
The "ETH UU Reversion Strategy" is a sophisticated mean-reversion trading system designed to capture price reversals at standard deviation extremes. Unlike typical strategies that enter trades immediately at market price, this script employs a proprietary **Limit Order Execution Mechanism** combined with volatility filtering to optimize entry prices and reduce slippage.
Originality & Key Features
This script addresses the common pitfalls of standard Bollinger Band strategies by introducing advanced order management logic:
1. Limit Order Execution:** Instead of market orders, the strategy calculates an optimal entry price based on ATR offsets. This allows traders to capitalize on "wicks" and secure better risk-reward ratios.
2. Smart Timeout Logic:To prevent "catching a falling knife," pending orders are automatically cancelled if not filled within a customizable number of bars (default: 15). This ensures orders do not remain active when market structure shifts.
3. Dynamic Risk Recalculation:** Stop Loss (SL) and Take Profit (TP) levels are recalculated at the exact moment of execution using the real-time ATR, ensuring risk parameters adapt to current market volatility.
How to Use
1. Setup: Apply the strategy to ETH/USDT (or other crypto pairs) on 15m or 1h timeframes.
2. Configuration:
* Adjust `BB Length` and `RSI Length` to fit your timeframe.
* Set `Order Timeout` to define how long a pending order should remain active.
* Toggle `Use ADX Filter` to avoid trading against strong trends.
3. *Visuals: The chart displays distinct labels for pending orders (Gray), active entries (Blue/Red), and cancellations, providing full transparency of the strategy's logic.
Risk Disclaimer
This script is for educational and quantitative analysis purposes only. Past performance regarding backtesting or live trading does not guarantee future results. Cryptocurrency trading involves high risk and high volatility. Please use proper risk management and trade at your own discretion.
-------------------------------------------------------------
Chinese Translation (中文说明)
策略概述
“ETH UU 均值回归策略”是一个旨在捕捉标准差极端位置价格反转的交易系统。与立即以市价入场的典型策略不同，本策略采用独特的**挂单执行机制**结合波动率过滤，以优化入场价格并减少滑点。
原创性与核心功能
本脚本通过引入高级订单管理逻辑，解决了普通布林带策略的常见缺陷：
1. 挂单交易模式： 策略不使用市价单，而是根据 ATR 偏移计算最佳入场价（Limit Orders）。这允许交易者捕捉K线的“影线”，获得更好的盈亏比。
2. 智能超时撤单： 为了防止“接飞刀”，如果挂单在指定K线数内（默认15根）未成交，系统会自动撤单。这确保了当市场结构发生变化时，旧的挂单不会被错误触发。
3. 动态风控重算： 止损和止盈在成交的瞬间根据实时 ATR 重新计算，确保风控参数始终适应当前的市场波动率。
风险提示
本脚本仅供教育和量化分析使用。回测或实盘的过往表现并不预示未来结果。加密货币交易具有极高的风险和波动性，请务必做好仓位管理，并自行承担使用本策略的风险。
ETH UU Reversion Strategy [Limit]Strategy Overview
The "ETH UU Reversion Strategy" is a sophisticated mean-reversion trading system designed to capture price reversals at standard deviation extremes. Unlike typical strategies that enter trades immediately at market price, this script employs a proprietary **Limit Order Execution Mechanism** combined with volatility filtering to optimize entry prices and reduce slippage.
Originality & Key Features
This script addresses the common pitfalls of standard Bollinger Band strategies by introducing advanced order management logic:
1. Limit Order Execution:** Instead of market orders, the strategy calculates an optimal entry price based on ATR offsets. This allows traders to capitalize on "wicks" and secure better risk-reward ratios.
2. Smart Timeout Logic:To prevent "catching a falling knife," pending orders are automatically cancelled if not filled within a customizable number of bars (default: 15). This ensures orders do not remain active when market structure shifts.
3. Dynamic Risk Recalculation:** Stop Loss (SL) and Take Profit (TP) levels are recalculated at the exact moment of execution using the real-time ATR, ensuring risk parameters adapt to current market volatility.
How to Use
1. Setup: Apply the strategy to ETH/USDT (or other crypto pairs) on 15m or 1h timeframes.
2. Configuration:
* Adjust `BB Length` and `RSI Length` to fit your timeframe.
* Set `Order Timeout` to define how long a pending order should remain active.
* Toggle `Use ADX Filter` to avoid trading against strong trends.
3. *Visuals: The chart displays distinct labels for pending orders (Gray), active entries (Blue/Red), and cancellations, providing full transparency of the strategy's logic.
Risk Disclaimer
This script is for educational and quantitative analysis purposes only. Past performance regarding backtesting or live trading does not guarantee future results. Cryptocurrency trading involves high risk and high volatility. Please use proper risk management and trade at your own discretion.
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Chinese Translation (中文说明)
策略概述
“ETH UU 均值回归策略”是一个旨在捕捉标准差极端位置价格反转的交易系统。与立即以市价入场的典型策略不同，本策略采用独特的**挂单执行机制**结合波动率过滤，以优化入场价格并减少滑点。
原创性与核心功能
本脚本通过引入高级订单管理逻辑，解决了普通布林带策略的常见缺陷：
1. 挂单交易模式： 策略不使用市价单，而是根据 ATR 偏移计算最佳入场价（Limit Orders）。这允许交易者捕捉K线的“影线”，获得更好的盈亏比。
2. 智能超时撤单： 为了防止“接飞刀”，如果挂单在指定K线数内（默认15根）未成交，系统会自动撤单。这确保了当市场结构发生变化时，旧的挂单不会被错误触发。
3. 动态风控重算： 止损和止盈在成交的瞬间根据实时 ATR 重新计算，确保风控参数始终适应当前的市场波动率。
风险提示
本脚本仅供教育和量化分析使用。回测或实盘的过往表现并不预示未来结果。加密货币交易具有极高的风险和波动性，请务必做好仓位管理，并自行承担使用本策略的风险。
King StrategyKing Strategy is an all-in-one TradingView edge for scalpers, swing traders and prop- or hedge-fund pros alike. It blends classic pattern flags with institutional-grade filters to pinpoint high-probability long entries and exits—and displays them with instant visual cues (buy/sell flags, dynamic backgrounds, trend-lines, support/resistance and volume-zones).
Built-in time-of-day and cycle locks help tame overtrading, and every signal lives in a single Inputs panel so you can toggle filters, tweak risk parameters and dial in exits in seconds. Whether you’re chasing 1-minute scalps or planning multi-day swings, S85 keeps you in sync with the market—just fine-tune its tools to match your timeframe, liquidity and comfort with risk.
SMC Pro [Stansbooth]
🔮 SMC × Fibonacci Confluence Engine — The Hidden Algorithm of the Markets
Welcome to a level of chart analysis where mathematics , market psychology , and institutional logic merge into one ultra-intelligent system.
This indicator decodes the true structure of price delivery by combining Smart Money Concepts with the timeless precision of Fibonacci ratios , revealing what retail traders can’t see — *the algorithmic heartbeat of the market*.
✨ What Makes This Indicator Different
Instead of drawing random lines or reacting to late signals, this tool **anticipates** market behavior by reading the footprints left behind by institutional algorithms. Every element is placed with purpose — every zone, every shift, every fib level — all forming a seamless narrative that explains *why* price moves the way it does.
🔥 Core Intelligence Features
Advanced BOS/CHOCH Auto-Detection — Spot structure shifts before momentum even forms.
Institutional Liquidity Mapping
— Identify liquidity pools, engineered sweeps, equal highs/lows, and trap zones designed by smart money.
Fibonacci-Aligned Precision Zones
— Auto-generated fib grids synced with SMC levels for pinpoint reversal and continuation setups.
Imbalance Engine
— FVGs, displacement, inefficiencies, and mitigation blocks displayed with crystal clarity.
Premium/Discount Algorithm
— Understand instantly whether price is in a zone of accumulation or distribution.
🚀 Designed for Traders Who Want an Edge
Whether you're scalping fast moves, capturing intraday swings, or holding higher-timeframe plays, this indicator provides a professional lens into the market. It turns complex price action into a structured, predictable system where every move has logic and every entry has confluence.
You don’t just see the chart —
you see the intention behind every push, pull, manipulation, and reversal.
💎 Why It Feels Like a Cheat Code
Because it mirrors the way institutions analyze the market:
— Identify liquidity
— Seek equilibrium
— Deliver price
— Create inefficiency
— Mitigate
— Continue the narrative
Using SMC and Fibonacci together unlocks the “algorithmic geometry” behind price movement, giving you clarity where others see chaos.
⚡ Trade With Confidence, Confluence & Control
This indicator isn’t just a tool.
It’s a complete trading framework — structured, intelligent, and deadly accurate.
Master the markets.
Decode the algorithm.
Trade like smart money .
GIX-KC-MAStrategia folosește doar KC si SMA 50 (filter + HTF SMA).
Intrările sunt agresive și foarte filtrate (close > SMA + break + HTF confirm).
Se folosesc pending orders automatizate, cu:
Entry = High ± pips
SL = Low ± pips
Expirare automată după X bare
Anulare la semnal opus
KC are 3 moduri de TP
Trend Flow & Breakout Professional [Strategy]Description:
🌪️ Overview
Stop guessing. Start following the flow.
The Trend Flow & Breakout Professional is a high-precision visual trading system designed to solve the biggest problem traders face: Choppy Markets & Fakeouts.
Instead of relying on lagging indicators that generate false signals, this engine uses a proprietary "Momentum Alignment Algorithm" to identify when price action is entering a genuine expansion phase. It transforms complex trend data into a clean, easy-to-read visual roadmap, allowing you to catch the meat of the move while filtering out the noise.
🔮 Key Features
1. The "Traffic Light" Visual System Trading is 90% psychology. This script reduces mental fatigue by coloring the chart background to reflect the dominant market state:
🟢 Green Zone (Bullish Flow): Momentum is accelerating upwards. The system suggests holding long positions and ignoring minor pullbacks.
🔴 Red Zone (Bearish Flow): Structure has broken down. The system suggests defensive measures or short entries.
Note: The background remains active as long as the trend structure holds, preventing you from exiting trades too early.
2. Smart Noise Filtering Unlike standard crossover strategies that get destroyed in sideways ranges, this system includes a Multi-Layer Trend Filter. It only triggers a signal when:
Short-term momentum aligns perfectly with the medium-term direction.
Volatility expands significantly (breakout confirmation).
Price successfully clears key long-term structural resistance (The "Blue Sky" Zone).
3. Built-in "Smart Strategy" Backtester We have integrated a professional-grade position management module. You can customize how the strategy executes trades in the settings:
Mode A: Sniper (Trend Reversal): Enters heavily on the first confirmed breakout and holds until the trend reverses. Ideal for swing traders.
Mode B: Builder (Pyramiding): Adds to the position incrementally as the trend confirms its strength, maximizing profit during strong runs.
4. Cooldown Mechanism To prevent over-trading, the algorithm includes a smart "Cooldown Period" that prevents signal spamming during high-volatility consolidations.
⚙️ How to Trade This System
Wait for the Signal:
Look for the "Buy" / "Sell" labels accompanied by a bright Neon Candle.
Ensure the background color shifts (e.g., from Grey/Red to Green).
Ride the Zone:
Do not exit just because of one red candle. As long as the Background remains Green, the trend is healthy.
The background color acts as your "psychological anchor," helping you let profits run.
Exit / Reversal:
A complete background color flip (e.g., Green to Red) indicates a structural trend failure. This is your signal to close positions or flip directions.
⚠️ Disclaimer
This tool is for educational and technical analysis purposes only. Past performance does not guarantee future results. Always use proper risk management.
Hyper swing📌 Hyper Swing is a trend-based strategy that uses bands that change based on volatility to identify and execute directional breakouts.
This strategy includes adjustable strictness, intuitive visual trading area lines, and dynamic trend colors.
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Trend Framework
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■ Core Trend Calculation
This strategy builds a trend model using:
EMA (Base): Short-term trend reference point.
EMA (Smoothing): Smooths the trend reference point further.
Volatility Band Threshold:
threshold = baseSensitivity × strictFactor × stdev(close, mainLen)
Using this threshold, we get:
Upper Band = Smoothing + Threshold
Lower Band = Smoothing - Threshold
These adaptive bands determine bullish and bearish breakouts.
■ Strictness System (1-10)
The higher the strictness level, the stronger the price breakout must be before it is considered a true signal.
Each level is mapped to a strictFactor, which controls volatility sensitivity.
Level Factor
1 0.8
2 1.0
3 1.2
4 1.5
5 1.8
6 2.0
7 2.2
8 2.5
9 2.8
10 3.0
Higher strictness results in fewer but stronger signals.
■ Trend Detection
Uptrend: Close > upperBand
Downtrend: Close < lowerBand
Trendline colors change dynamically.
Neutral: No graph color
──────────────────────────
Signal Generation
──────────────────────────
■ Trigger Conditions
Long Breakout: Crossover (Closing Price, Upper Band)
Short Analysis: Cross-Under (Closing Price, Lower Band)
■ Preventing Duplicate Signals
The status variable (lastSignal)
does not repeat consecutive long signals.
does not repeat consecutive short signals.
This prevents over-triggering in turbulent situations.
■ Purpose
Hyper Swing is designed to:
Capture strong momentum swings using statistically adapted breakout trading techniques.
Reduces noise through a multi-stage stringency filter.
Prevents duplicate signals in the same direction using a swap format.
This strategy does not predict future prices or guarantee profitability. It's simply a matter of applying systematic rules to breakout-based swing trading.
Session Breakout StrategyThis is simple Session Breakout Strategy with Toggles provided to enable different Sessions based on the requirement..
ADX and Volume Filters provided to cut down the Whipsaws..
For BTC in 5 mins works good with the default setting.
For Gold Change ATR TP - 2.5 and ATR SL -1.5 in 5m TF.
Fibonacci Vision ProFibonacci Precision Signals Pro | Smart Buy & Sell Alerts
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OVERVIEW
This indicator combines Fibonacci mathematics with advanced signal filtering to deliver precise buy and sell signals. It automatically detects swing structure, calculates the key 0.618 retracement level, and generates signals only when multiple confirmation factors align.
Clean. Accurate. Professional.
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HOW IT WORKS
The script identifies swing highs and lows, then calculates Fibonacci retracement levels automatically. When price interacts with the 0.618 zone and all filters confirm, a signal appears:
▲ buy — Long entry opportunity
▼ sell — Short entry opportunity
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6-LAYER CONFIRMATION SYSTEM
Every signal must pass through:
Trend Direction Analysis
Fibonacci Level Interaction
EMA Trend Filter (50-period default)
RSI Momentum Validation (14-period default)
Volume Spike Detection
Candlestick Pattern Recognition (Pin bars, Engulfing, Momentum candles)
This multi-layer approach significantly reduces false signals.
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BUILT-IN RISK MANAGEMENT
Every trade includes automatic stop loss and take profit levels:
Stop Loss: 100 pips
Take Profit: 200 pips
Risk-Reward Ratio: 1:2
Adjust these values in settings to match your trading style.
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KEY FEATURES
✅ Automatic Fibonacci calculation — no manual drawing
✅ Multi-timeframe compatibility — M15 to Daily
✅ Universal market support — Forex, Crypto, Stocks, Indices
✅ Clean minimalist signals — white triangles with text
✅ Customizable filters — adjust sensitivity to your preference
✅ Built-in alerts — never miss a signal
✅ No repainting — signals remain fixed once confirmed
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Swing Detection:
Swing Length — Controls sensitivity to market structure (default: 10)
Confirmation Bars — Bars required to confirm signal (default: 1)
Signal Filters:
EMA Trend Filter — Toggle trend confirmation on/off
EMA Length — Adjust trend filter period (default: 50)
RSI Filter — Toggle momentum confirmation on/off
RSI Length — Adjust momentum period (default: 14)
Volume Filter — Toggle volume confirmation on/off
Volume Multiplier — Set volume threshold (default: 1.2x average)
Risk Management:
Stop Loss Pips — Set your stop loss distance (default: 100)
Take Profit Pips — Set your profit target (default: 200)
Pip Value — Adjust for your instrument (0.0001 for most Forex, 0.01 for JPY pairs)
Visuals:
Show Signals — Toggle signal visibility
Show Cloud — Toggle Fibonacci zone visibility
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BEST PRACTICES
Use on H1 or H4 timeframes for optimal results
Trade in direction of the higher timeframe trend
Avoid trading during major news events
Combine with proper position sizing
Always use the built-in stop loss
Be patient — quality signals over quantity
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MARKETS SUPPORTED
Forex — All major, minor, and exotic pairs
Crypto — BTC, ETH, and altcoins
Stocks — Any equity on TradingView
Indices — S&P500, NASDAQ, DAX, FTSE, etc.
Commodities — Gold, Silver, Oil, etc.
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WHY FIBONACCI?
The 0.618 ratio (Golden Ratio) is observed by traders worldwide. When price retraces to this level, it often:
Reverses direction
Finds support or resistance
Creates high-probability entry opportunities
This script automates the detection of these key moments.
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ALERTS INCLUDED
Set up notifications to receive signals on:
Mobile push notifications
Desktop popups
Email alerts
Webhook integrations
Never miss a trading opportunity again.
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WHAT MAKES THIS DIFFERENT
Most indicators give too many signals. This one focuses on quality.
Most indicators clutter your chart. This one keeps it clean.
Most indicators ignore risk management. This one includes it.
Most indicators work on one market. This one works on all.
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DISCLAIMER
This indicator is a trading tool, not financial advice. Trading involves substantial risk of loss. Past performance does not guarantee future results. Always use proper risk management and never trade with money you cannot afford to lose. Test on a demo account before trading live.
Tariq Supertrend StrategyThis Strategy which points out the best time to enter in Long Trade or Short Trade
StockX TrendPulseThis is one of our premium, high-grade trading scripts built specifically for highly liquid stocks. It’s a fully automated system designed to deliver consistent performance, adapt to changing market conditions, and maintain strict risk control. With enhanced trade management and built-in performance tracking, it provides a reliable, disciplined framework for stock traders who demand precision and robustness.
StockX TrendPulse removes emotion from trading decisions and provides complete transparency through detailed performance metrics. The strategy is fully backtested and ready for live deployment.
Ready to Trade Like a Pro?
StockX TrendPulse is a premium strategy with limited availability.
Email brijamohanjha@gmail.com
to request access and pricing.
VWolf – Slope GuardOVERVIEW
Slope Guard combines a momentum core (WaveTrend + RSI/MFI + QQE family) with a directional bias (EMA/DEMA and a DEMA-slope filter). Trade direction can be constrained by the Supertrend regime (Normal or Pivot). Risk is managed with ATR-based stops and targets, optional Supertrend-anchored dynamic levels, and a two-stage take-profit that can shift the stop to break-even after the first partial. The strategy supports explicit Backtest and Forward-test windows and adapts certain thresholds by market type (Forex vs. Stocks).
RECOMMENDED USE
Markets: Forex and equities; use Market Type to properly scale the DEMA-slope gate.
Timeframes: M15–H4 for intraday-swing and H1–D1 for slower swing; avoid ultra-low TFs without tightening ADX/QQE.
Assets: Instruments with persistent trends and orderly pullbacks; avoid flat ranges without sufficient ADX.
Strengths
Multi-layer confluence: trend bias + momentum + regime + strength.
Flexible risk engine: ATR vs. Supertrend anchoring, staged exits, and automatic break-even.
Clean research workflow: separated Backtest and Forward-test windows.
Precautions
Structural latency: Pivot-based constructs confirm with delay; validate with Forward-test.
Filter interaction: QQE Strict + ADX + WT zero-line can become overly selective; calibrate by asset/TF.
Overfitting risk: Prefer simple, portable parameter sets and validate across symbols/TFs.
CONCLUSION
Slope Guard is a “trend + momentum” framework with risk control at its core. By enforcing a baseline bias, validating momentum with the Vuman composite, and offering ATR or Supertrend-anchored exits—plus staged profits and break-even shifts—it seeks to capture the core of directional swings while compressing drawdowns. Keep testing windows isolated, start with moderate filters (QQE Normal, ADX ~20–25), and only add stricter gates (WT zero-line, DEMA slope) once they demonstrably improve stability without starving signals.
FOR MORE INFORMATION VISIT vwolftrading.com
VWolf - Shadow PulseOVERVIEW
The Trend Momentum Breakout Strategy is a rule-based trading system designed to identify high-probability entries in trending markets using a combination of trend confirmation, momentum filtering, and precise trigger conditions. The strategy is suitable for intermediate to advanced traders who prefer mechanical systems with clear entry/exit logic and configurable risk management options.
At its core, this strategy seeks to enter pullbacks within strong trends, capitalizing on momentum continuation after brief pauses in price movement. By integrating multiple moving averages (MAs) for trend validation, ADX (Average Directional Index) as a strength filter, and Stochastic RSI as an entry trigger, the strategy filters out weak trends and avoids overextended market conditions. Exit logic is based on a customizable fixed stop-loss (SL) and take-profit (TP) framework, with optional dynamic risk-reduction mechanisms powered by the Supertrend indicator.
This strategy is designed to perform best in clearly trending markets and is especially effective in avoiding false breakouts or choppy sideways action thanks to its ADX-based filtering. It can be deployed across a variety of asset classes, including forex, stocks, cryptocurrencies, and indices, and is optimized for intra-day to swing trading timeframes.
RECOMMENDED USE
This strategy is designed to be flexible across multiple markets, but it performs best under certain conditions:
Best Suited For:
Trending markets with clear directional momentum.
High-volume instruments that avoid erratic price action.
Assets with intraday volatility and swing patterns.
Recommended Asset Classes:
Forex pairs (e.g., EUR/USD, GBP/JPY)
Cryptocurrencies (e.g., BTC/USD, ETH/USDT)
Major indices (e.g., S&P 500, NASDAQ, DAX)
Large-cap stocks (especially those with consistent liquidity)
Suggested Timeframes:
15-minute to 1-hour charts for intraday setups.
4-hour and daily charts for swing trading.
Lower timeframes (1–5 min) may generate too much noise unless fine-tuned.
Market Conditions to Avoid:
Ranging or sideways markets with low ADX values.
Assets with irregular price structures or low liquidity.
News-heavy periods with unpredictable price spikes.
CONCLUSION
This strategy stands out for its robust and modular approach to trend-following trading, offering a high level of customization while maintaining clear logic and structural discipline in entries and exits. By combining three distinct layers of confirmation—trend identification (via configurable moving averages), trend strength validation (via the DMI filter), and timing (via the Stochastic RSI trigger)—it aims to reduce noise and increase the probability of entering trades with directional bias and momentum on its side.
Its flexibility is one of its strongest points: users can tailor the strategy to fit various trading styles and market conditions. Whether the trader prefers conservative setups using only the slowest moving average, or more aggressive entries requiring full alignment of fast, medium, and slow MAs, the system adjusts accordingly. Likewise, exit management offers both static and dynamic methods—such as ATR-based stop losses, Supertrend-based adaptive exits, and partial profit-taking mechanisms—allowing risk to be managed with precision.
This makes the strategy particularly suitable for trend-driven markets, such as major currency pairs, indices, or volatile stocks that demonstrate clear directional moves. It is not ideal for sideways or choppy markets, where multiple filters may reduce the number of trades or result in whipsaws.
From a practical standpoint, the strategy also incorporates real-world trading mechanics, like time-based filters and account risk control, which elevate it from a purely theoretical model to a more execution-ready system.
In summary, this is a well-structured, modular trend strategy ideal for intermediate to advanced traders who want to maintain control over their system parameters while still benefiting from layered signal confirmation. With proper calibration, it has the potential to become a reliable tool in any trader’s arsenal—particularly in markets where trends emerge clearly and sustainably.
FOR MORE INFORMATION VISIT vwolftrading.com
VWolf - Raptor ClawOVERVIEW
The 'VWolf - Raptor Claw' is a straightforward scalping strategy designed for high-frequency trades based on the Stochastic RSI indicator. It focuses exclusively on identifying potential trend reversals through stochastic cross signals in extreme zones, without the need for additional confirmations. This makes it highly responsive to market movements, capturing rapid price shifts while maintaining simplicity.
This strategy is best suited for highly liquid and volatile markets like forex, indices, and major cryptocurrencies, where quick momentum shifts are common. It is ideal for experienced scalpers who prioritize fast entries and exits, but it can also be adapted for swing trading in lower timeframes.
Entry Conditions:
Long Entry:Stochastic RSI crosses above the oversold threshold (typically 20), indicating a potential bullish reversal.
Short Entry:Stochastic RSI crosses below the overbought threshold (typically 80), indicating a potential bearish reversal.
Exit Conditions:
Stop Loss: Set at the minimum (for longs) or maximum (for shorts) within a configurable lookback window to reduce risk.
Take Profit: Defined by a risk-reward ratio (RRR) input to optimize potential gains relative to risk.
CONCLUSION
The 'VWolf - Raptor Claw' strategy is perfect for traders seeking a simple yet aggressive approach to the markets. It capitalizes on sharp momentum shifts in extreme zones, relying on precise stop loss and take profit settings to capture rapid profits while minimizing risk. This approach is highly effective in high-volatility environments where quick decision-making is essential.
FOR MORE INFORMATION VISIT vwolftrading.com
