MA cross strategy VtsThe simple Moving average cross strategy is here implemented.
I guess there are multitudes of similar scripts around.
I post this one since I was asked by some friends, and I'll let it free to use for anybody.
Here you can choose the year where to start backtesting, the source, the type of MA, the SL and TP multiplicators of ATR, for which you can also choose the averaging period.
Feel free to modify this script. I would be grateful if you could preserve the first lines of comments including my user names.
The MA cross strategies can be very effective, especially when used on the daily TF.
Try for example the combo EMA15-EMA30 SL=1.5ATR TP=1ATR on EURCHF daily to get an impressive 83% win ratio.
Or EMA20-EMA81 on the GBPCHF to get an 87%.
In those cases where EMA does not perform well, try to set a less lagging MA, like the Hull MA.
I hope you like this script so that you could push the like button multiple (odd) times and you start following me.
I've got a bunch of other interesting scripts to share.
Comments and suggestions are welcome.
"tp"に関するスクリプトを検索
Forex Master v4.0 (EUR/USD Mean-Reversion Algorithm)DESCRIPTION
Forex Master v4.0 is a mean-reversion algorithm currently optimized for trading the EUR/USD pair on the 5M chart interval. All indicator inputs use the period's closing price and all trades are executed at the open of the period following the period where the trade signal was generated.
There are 3 main components that make up Forex Master v4.0:
I. Trend Filter
The algorithm uses a version of the ADX indicator as a trend filter to trade only in certain time periods where price is more likely to be range-bound (i.e., mean-reverting). This indicator is composed of a Fast ADX and a Slow ADX, both using the same look-back period of 50. However, the Fast ADX is smoothed with a 6-period EMA and the Slow ADX is smoothed with a 12-period EMA. When the Fast ADX is above the Slow ADX, the algorithm does not trade because this indicates that price is likelier to trend, which is bad for a mean-reversion system. Conversely, when the Fast ADX is below the Slow ADX, price is likelier to be ranging so this is the only time when the algorithm is allowed to trade.
II. Bollinger Bands
When allowed to trade by the Trend Filter, the algorithm uses the Bollinger Bands indicator to enter long and short positions. The Bolliger Bands indicator has a look-back period of 20 and a standard deviation of 1.5 for both upper and lower bands. When price crosses over the lower band, a Long Signal is generated and a long position is entered. When price crosses under the upper band, a Short Signal is generated and a short position is entered.
III. Money Management
Rule 1 - Each trade will use a limit order for a fixed quantity of 50,000 contracts (0.50 lot). The only exception is Rule
Rule 2 - Order pyramiding is enabled and up to 10 consecutive orders of the same signal can be executed (for example: 14 consecutive Long Signals are generated over 8 hours and the algorithm sends in 10 different buy orders at various prices for a total of 350,000 contracts).
Rule 3 - Every order will include a bracket with both TP and SL set at 50 pips (note: the algorithm only closes the current open position and does not enter the opposite trade once a TP or SL has been hit).
Rule 4 - When a new opposite trade signal is generated, the algorithm sends in a larger order to close the current open position as well as open a new one (for example: 14 consecutive Long Signals are generated over 8 hours and the algorithm sends in 10 different buy orders at various prices for a total of 350,000 contracts. A Short Signal is generated shortly after the 14th Long Signal. The algorithm then sends in a sell order for 400,000 contracts to close the 350,000 contracts long position and open a new short position of 50,000 contracts).
HeikenAshi[1]This is the alert script so you can automate this strategy using AutoView:
Make sure to use
crossing down value 0.9 once per bar (on condition) for this.
For the alert Message if you're using AutoView:
Long GBPUSD
c=order b=short
c=position b=short l=200 t=market
b=long q=0.01 l=200 t=market tp=60 sl=60
Short GBPUSD
c=order b=long
c=position b=long l=200 t=market
b=short q=0.01 l=200 t=market tp=60 sl=60
Percent Drop - For XIVUseful for Rangebound stocks.
I am using it with XIV , start accumulating day after circle appears.
Have TP of 20% upside
Average it if TP not hit on next flash
TedAlpha – Structure / FVG / OB Sessions:
Only looks for trades when price is inside your defined London or NY time blocks.
CHOCH:
Uses pivots to track swing highs/lows, then flags a bullish CHOCH when structure flips from LL/LH to HH/HL, and vice versa for bearish.
FVG:
Detects 3-candle imbalance and keeps the zone “active” for fvgLookback bars, then checks if price trades back into it.
Order Blocks:
On a CHOCH, grabs the last opposite candle (bearish before bull CHOCH = bullish OB, bullish before bear CHOCH = bearish OB) and marks its body as the OB zone.
Signal:
A valid long = bull CHOCH + in session + (price inside bullish FVG and/or bullish OB, depending on toggles).
Short is the mirror image.
RR 1:3:
SL uses the last swing low (for longs) or last swing high (for shorts), TP is auto-set at 3× that distance and plotted as lines.
Mirpapa_Lib_UnicornLibrary "Mirpapa_Lib_Unicorn"
유니콘 패턴 라이브러리 (Unicorn Pattern Library)
유니콘 모델 전략 로직, 데이터 구조체 및 상태 관리를 구현합니다.
initUnicornData(_isBull, _createTime, _createBar, _timeframe)
UnicornData 초기화
@description 새로운 UnicornData 객체를 생성하고 초기화합니다.
Parameters:
_isBull (bool) : 방향 (True: 상승, False: 하락)
_createTime (int) : 생성 시간
_createBar (int) : 생성 Bar Index
_timeframe (string) : 시간대
calculateOverlap(_obTop, _obBot, _fvgTop, _fvgBot)
중첩 영역(Overlap Zone) 계산
@description OB와 FVG 사이의 겹치는 영역을 계산합니다.
Parameters:
_obTop (float) : OB 상단
_obBot (float) : OB 하단
_fvgTop (float) : FVG 상단
_fvgBot (float) : FVG 하단
Returns: 겹침 영역 상단, 하단, 겹침 여부
updateUnicornStatus(_data, _currentHigh, _currentLow, _time)
유니콘 상태 업데이트
@description 가격 움직임에 따라 유니콘 패턴의 상태를 업데이트합니다.
active: 진입 대기 (리테스트 대기) -> triggered: 진입 (TP/SL 대기) -> win/loss: 결과 확정
Parameters:
_data (UnicornData) : UnicornData 객체
_currentHigh (float) : 현재 고가
_currentLow (float) : 현재 저가
_time (int) : 현재 시간
Returns: UnicornData 업데이트된 객체
activateUnicorn(_data)
유니콘 활성화 (Active 전환)
@description Pending 상태인 유니콘 데이터를 Active 상태로 전환합니다. (보통 CHoCH 발생 시 호출)
Parameters:
_data (UnicornData) : UnicornData 객체
setTradeLevels(_data, _entry, _stop, _target)
트레이딩 레벨 설정
@description 진입가, 목표가, 손절가를 설정합니다.
Parameters:
_data (UnicornData) : UnicornData 객체
_entry (float) : 진입가
_stop (float) : 손절가
_target (float) : 목표가
UnicornData
유니콘 데이터 (UnicornData)
Fields:
_isBull (series bool) : // 상승/하락 방향 (True: Long, False: Short)
_status (series string) : // "pending", "active", "triggered", "win", "loss", "cancelled"
_createTime (series int) : // 생성 시간
_createBar (series int) : // 생성 bar_index
_obTop (series float) : // OB 상단
_obBot (series float) : // OB 하단
_obTime (series int) : // OB 캔들 시간
_obBox (series box) : // OB 박스 객체
_fvgTop (series float) : // FVG 상단
_fvgBot (series float) : // FVG 하단
_fvgTime (series int) : // FVG 시간
_fvgBox (series box) : // FVG 박스 객체
_zoneTop (series float) : // 겹침 영역 상단 (Unicorn Zone)
_zoneBot (series float) : // 겹침 영역 하단 (Unicorn Zone)
_zoneBox (series box) : // Unicorn Zone 박스 객체
_chochConfirmed (series bool) : // CHoCH 확정 여부
_chochTime (series int) : // CHoCH 발생 시간
_chochPrice (series float) : // CHoCH 돌파 가격
_entryPrice (series float) : // 진입가
_targetPrice (series float) : // 목표가 (다음 유동성 레벨)
_stopPrice (series float) : // 손절가 (Zone 반대편)
_result (series string) : // "none", "win", "loss"
_resultTime (series int) : // 결과 확정 시간
_resultPrice (series float) : // 결과 확정 가격
_profitPips (series float) : // 수익 pips (양수)
_lossPips (series float) : // 손실 pips (음수)
_profitPercent (series float) : // 수익 %
_lossPercent (series float) : // 손실 %
_rrRatio (series float) : // Risk:Reward 비율
_timeframe (series string) : // 시간대 (HTF/MTF/CTF)
_triggerTime (series int) : // 진입 트리거 시간 (리테스트)
_triggerPrice (series float) : // 진입 트리거 가격
_isRetested (series bool) : // 리테스트 여부
_retestCount (series int) : // 리테스트 횟수
_maxDrawdown (series float) : // 최대 손실폭 (진입 후)
_maxProfit (series float) : // 최대 수익폭 (진입 후)
Fanfans极简原版优化版### 中英文双语总结(300字内)
中文:该指标为Fanfans极简原版优化版,基于RSI和ATR构建核心交易信号,新增趋势(EMA)、成交量、时间、价格位置多维度过滤,及动态ATR倍数调整功能。含同方向订单间隔限制、多级止盈止损(支持阈值触发),内置信号质量评分、标签标注与警报推送,可自定义过滤规则和显示样式,通过多维度筛选降低无效信号,提升短周期交易信号准确性。
English: This is an optimized version of Fanfans' minimalist indicator, building core trading signals based on RSI and ATR. It adds multi-dimensional filters (trend/EMA, volume, time, price position) and dynamic ATR multiplier adjustment, includes same-direction order interval limits, multi-level SL/TP (supporting threshold triggers), built-in signal quality scoring, label annotation and alert push. Customizable filter rules and display styles reduce invalid signals via multi-dimensional screening, improving short-term trading signal accuracy.
Fanfans结构+极简合并增强版V2
中文:该指标整合Fanfans结构、高斯GWMA、动态摆动VWAP、MACD及极简交易信号,内置结构/GWMA/VWAP/EMA多维度过滤、成交量确认、动态ATR等优化功能。支持多空信号标注、止损止盈分层设置、信号质量评分,搭配图表信息面板与多级别警报共振机制,适用于1分钟等短周期交易,兼顾信号灵敏度与准确性。
English: This indicator integrates Fanfans structure, Gaussian GWMA, dynamic swing VWAP, MACD, and simple trading signals. It features multi-dimensional filters (structure/GWMA/VWAP/EMA), volume confirmation, dynamic ATR optimization. Supporting long/short signal labeling, layered SL/TP settings, signal quality scoring, it comes with a chart info panel and multi-level alert resonance. Suitable for short-term trading (e.g., 1-minute timeframe), balancing signal sensitivity and accuracy.
Sai Scalper ProSai Scalper Pro – Feature Summary
Trend Engine
- ATR-based trailing stop with Fibonacci levels (61.8%, 78.6%, 88.6%)
- Auto trend detection with swing point tracking
Scalping Detection (0-10 Score)
- Analyzes 7 factors: ATR compression, ADX, Volume, Range, Consolidation, RSI, BB Squeeze
- Smart state machine with hysteresis to prevent false signals
- Adjustable sensitivity & stability settings
Cloud Modes (7 Options)
- Full Zone, Entry Zone, Premium/Discount, Fib Bands, Upper/Middle/Lower Band
Pro Dashboard
- Real-time scalp score with visual meter
- Entry quality rating & zone display
- Suggested TP/SL based on ATR
- Session detection (Sydney/Tokyo/London/NY) with overlap alerts
- 3 styles (Minimal/Pro/Full) × 4 sizes × 9 positions
Alerts
- Scalp ready, Prime conditions (8+), Optimal entry zone
- Direction-specific (Long/Short bias)
Combines trend-following Fibonacci analysis with intelligent ranging detection for optimal scalping opportunities.
Golden Cross RSI Daily Helper (US Stocks)//@version=5
indicator("Golden Cross RSI Daily Helper (US Stocks)", overlay=true, timeframe="D", timeframe_gaps=true)
//========= الإعدادات الأساسية =========//
emaFastLen = input.int(50, "EMA سريع (اتجاه قصير المدى)")
emaSlowLen = input.int(200, "EMA بطيء (اتجاه طويل المدى)")
rsiLen = input.int(14, "فترة RSI")
rsiMin = input.float(40.0, "حد RSI الأدنى للدخول", 0.0, 100.0)
rsiMax = input.float(60.0, "حد RSI الأعلى للدخول", 0.0, 100.0)
slBufferPerc = input.float(1.5, "نسبة البفر لوقف الخسارة (%) أسفل/أعلى EMA200", 0.1, 5.0)
rrRatio = input.float(2.0, "نسبة العائد إلى المخاطرة (R:R)", 1.0, 5.0)
//========= حساب المؤشرات =========//
emaFast = ta.ema(close, emaFastLen)
emaSlow = ta.ema(close, emaSlowLen)
rsiVal = ta.rsi(close, rsiLen)
// اتجاه السوق
trendUp = emaFast > emaSlow
trendDown = emaFast < emaSlow
// ارتداد السعر من EMA50 أو EMA200 تقريبياً
bounceFromEmaFast = close > emaFast and low <= emaFast
bounceFromEmaSlow = close > emaSlow and low <= emaSlow
bounceLong = bounceFromEmaFast or bounceFromEmaSlow
bounceFromEmaFastShort = close < emaFast and high >= emaFast
bounceFromEmaSlowShort = close < emaSlow and high >= emaSlow
bounceShort = bounceFromEmaFastShort or bounceFromEmaSlowShort
// فلتر RSI
rsiOk = rsiVal >= rsiMin and rsiVal <= rsiMax
//========= شروط الدخول =========//
// شراء
longSignal = trendUp and bounceLong and rsiOk
// بيع
shortSignal = trendDown and bounceShort and rsiOk
//========= حساب وقف الخسارة والأهداف =========//
// نستخدم سعر إغلاق شمعة الإشارة كسعر دخول افتراضي
entryPriceLong = close
entryPriceShort = close
// وقف الخسارة حسب EMA200 + البفر
slLong = emaSlow * (1.0 - slBufferPerc / 100.0)
slShort = emaSlow * (1.0 + slBufferPerc / 100.0)
// المسافة بين الدخول ووقف الخسارة
riskLong = math.max(entryPriceLong - slLong, syminfo.mintick)
riskShort = math.max(slShort - entryPriceShort, syminfo.mintick)
// هدف الربح حسب R:R
tpLong = entryPriceLong + rrRatio * riskLong
tpShort = entryPriceShort - rrRatio * riskShort
//========= الرسم على الشارت =========//
// رسم المتوسطات
plot(emaFast, title="EMA 50", color=color.new(color.blue, 0), linewidth=2)
plot(emaSlow, title="EMA 200", color=color.new(color.orange, 0), linewidth=2)
// تلوين الخلفية حسب الاتجاه
bgcolor(trendUp ? color.new(color.green, 92) : trendDown ? color.new(color.red, 92) : na)
// إشارة شراء
plotshape(
longSignal,
title = "إشارة شراء",
style = shape.triangleup,
location = location.belowbar,
size = size.large,
color = color.new(color.green, 0),
text = "BUY")
// إشارة بيع
plotshape(
shortSignal,
title = "إشارة بيع",
style = shape.triangledown,
location = location.abovebar,
size = size.large,
color = color.new(color.red, 0),
text = "SELL")
// رسم SL و TP عند ظهور الإشارة
slPlotLong = longSignal ? slLong : na
tpPlotLong = longSignal ? tpLong : na
slPlotShort = shortSignal ? slShort : na
tpPlotShort = shortSignal ? tpShort : na
plot(slPlotLong, title="وقف خسارة شراء", color=color.new(color.red, 0), style=plot.style_linebr)
plot(tpPlotLong, title="هدف شراء", color=color.new(color.green, 0), style=plot.style_linebr)
plot(slPlotShort, title="وقف خسارة بيع", color=color.new(color.red, 0), style=plot.style_linebr)
plot(tpPlotShort, title="هدف بيع", color=color.new(color.green, 0), style=plot.style_linebr)
//========= إعداد التنبيهات =========//
alertcondition(longSignal, title="تنبيه إشارة شراء", message="إشارة شراء: ترند صاعد + ارتداد من EMA + RSI في المنطقة المسموحة.")
alertcondition(shortSignal, title="تنبيه إشارة بيع", message="إشارة بيع: ترند هابط + ارتداد من EMA + RSI في المنطقة المسموحة.")
ATR ZigZag BreakoutATR ZigZag Breakout
This strategy uses my ATR ZigZag indicator (powered by the ZigZagCore library) to scalp breakouts at volatility-filtered highs and lows.
Everyone knows stops cluster around clear swing highs and lows. Breakout traders often pile in there, too. These levels are predictable areas where aggressive orders hit the tape. The idea here is simple:
→ Let ATR ZigZag define clean, volatility-filtered pivots
→ Arm a stop market order at those pivots
→ Join the breakout when the crowd hits the level
The key to greater success in this simple strategy lies in the ZigZag. Because the pivots are filtered by ATR instead of fixed bar counts or fractals, the levels tend to be more meaningful and less noisy.
This approach is especially suited for intraday trading on volatile instruments (e.g., NQ, GC, liquid crypto pairs).
How It Works
1. Pivot detection
The ATR ZigZag uses an ATR-based threshold to confirm swing highs and lows. Only when price has moved far enough in the opposite direction does a pivot become “official.”
2. Candidate breakout level
When a new swing direction is detected and the most recent high/low has not yet been broken in the current leg, the strategy arms a stop market order at that pivot.
• Long candidate → most recent swing high
• Short candidate → most recent swing low
These “candidate trades” are shown as dotted lines.
3. Entry, SL, and TP
If price breaks through the level, the stop order is filled and a bracket is placed:
• Stop loss = ATR × SL multiplier
• Take profit = SL distance × RR multiplier
Once a level has traded, it is not reused in the same swing leg.
4. Cancel & rotate
If the market reverses and forms a new swing in the opposite direction before the level is hit, the pending order is cancelled and a new candidate is considered in the new direction.
Additional Features
• Optional session filter for backtesting specific trading hours
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.
Profitable Pair Correlation Divergence Scanner v6This strategy identifies divergence opportunities between two correlated assets using a combination of Z-Score spread analysis, trend confirmation, RSI & MACD momentum checks, correlation filters, and ATR-based stop-loss/take-profit management. It’s optimized for positive P&L and realistic trade execution.
Key Features:
Pair Divergence Detection:
Measures deviation between returns of two assets and identifies overbought/oversold spread conditions using Z-Score.
Trend Alignment:
Trades only in the direction of the primary asset’s trend using a fast EMA vs slow EMA filter.
Momentum Confirmation:
Confirms trades with RSI and MACD to reduce false signals.
Correlation Filter:
Ensures the pair is strongly correlated before taking trades, avoiding noisy signals.
Risk Management:
Dynamic ATR-based stop-loss and take-profit ensures proper reward-to-risk ratio.
Exit Conditions:
Automatically closes positions when Z-Score normalizes, or ATR-based exits are hit.
How It Works:
Calculate Returns:
Computes returns for both assets over the selected timeframe.
Z-Score Spread:
Calculates the spread between returns and normalizes it using moving average and standard deviation.
Trend Filter:
Only takes long trades if the fast EMA is above the slow EMA, and short trades if the fast EMA is below the slow EMA.
Momentum Confirmation:
Confirms trade direction with RSI (>50 for longs, <50 for shorts) and MACD alignment.
Correlation Check:
Ensures the pair’s recent correlation is strong enough to validate divergence signals.
Trade Execution:
Opens positions when Z-Score crosses thresholds and all conditions align. Positions close when Z-Score normalizes or ATR-based SL/TP is hit.
Plot Explanation:
Z-Score: Blue line shows divergence magnitude.
Entry Levels: Red/Green lines mark long/short thresholds.
Exit Zone: Gray lines show normalization zone.
EMA Trend Lines: Purple (fast), Orange (slow) for trend alignment.
Correlation: Teal overlay shows current correlation strength.
Usage Tips:
Use highly correlated pairs for best results (e.g., EURUSD/GBPUSD).
Run on higher timeframe charts (1h or 4h) to reduce noise.
Adjust ATR multiplier based on volatility to avoid premature stops.
Combine with alerts for automated notifications or webhook execution.
Conclusion:
The Profitable Pair Correlation Divergence Scanner v6 is designed for traders who want systematic, low-risk, positive P&L trading opportunities with minimal manual monitoring. By combining trend alignment, momentum confirmation, correlation filters, and dynamic exits, it reduces false signals and improves execution reliability.
Run it on TradingView and watch how it captures divergence opportunities while maintaining positive P&L across trades.
MeanReversion_tradeALERTOverview The Apex Reversal Predictor v2.5 is a specialized mean reversion strategy designed for scalping high-volatility assets like NQ (Nasdaq), ES (S&P 500), and Crypto. While most indicators chase breakouts, this system hunts for "Liquidity Sweeps"—moments where the market briefly breaks a key level to trap retail traders before snapping back to the true value (VWAP).
This is not just a signal indicator; it is a full Trade Manager that calculates your Entry, Stop Loss, and Take Profit levels automatically based on volatility (ATR).
The Logic: Why This Works Markets act like a rubber band. They can only stretch so far from their average price before snapping back. This script combines three layers of logic to identify these snap-back points:
The Stretch (Sigma Score): Measures how far price is from the VWAP relative to ATR. If the score > 2.0, the "rubber band" is overextended.
The Trap (Liquidity Sweep): Identifies Pivot Highs/Lows. It waits for price to break a pivot (luring in breakout traders) and then immediately reverse (trapping them).
The Exhaustion (RSI): Confirms that momentum is Overbought/Oversold to prevent trading against a strong trend.
Key Features
Dynamic Lines: Automatically draws Blue (Entry), Red (SL), and Green (TP) lines on the chart for active trades.
Smart Targets: Two modes for taking profit:
Mean Reversion: Targets the VWAP line (High Win Rate).
Fixed Ratio: Targets a specific Risk:Reward (e.g., 1:2).
Live Dashboard: Tracks Win Rate, Net Points, and the live "Stretch Score" in the bottom right corner.
Alert Ready: Formatted JSON alerts for easy integration with Discord or trading bots.
How & When to Use (User Guide)
1. Best Timeframes
5-Minute (5m): Best for NQ and volatile stocks (TSLA, NVDA). Filters out 1-minute noise but catches the intraday reversals.
15-Minute (15m): Best for Forex or slower-moving indices (ES).
2. The Setup Checklist Before taking a trade, look at the Dashboard in the bottom right:
Step 1: Check the "Stretch (Sigma)". Is it Orange or Red? This means price is extended and ripe for a reversal. If it's Green, the market is calm—be careful.
Step 2: Wait for the Signal.
"Apex BUY" (Green Label): Price swept a low and closed green.
"Apex SELL" (Red Label): Price swept a high and closed red.
Step 3: Execute. Enter at the close of the signal candle. Set your stop loss at the Red Line provided by the script.
3. Warning / When NOT to Use
Strong Trending Days: If the market is trending heavily (e.g., creating higher highs all day without looking back), do not fight the trend.
News Events: Avoid using this during CPI, FOMC, or NFP releases. The "rubber band" logic breaks during news because volatility expands indefinitely.
CRR - Entry SIN RETROUse in 1 minute:
EMA 15, 30, 200 → strong trend.
VWAP → institutional fair price.
RSI (8) → strength (Bull > 60, Bear < 40).
MACD → momentum direction.
Volume vs. average → ensure sufficient liquidity.
FVG (optional) → liquidity gap in your favor.
2️⃣ Signals WITHOUT PULLBACK
BUY WITHOUT PULLBACK when:
EMA15 > EMA30 > EMA200 (strong bullish trend)
MACD bullish, RSI > 60
High volume
Price above EMA15 and VWAP
(Optional) Bullish FVG in your favor
SELL WITHOUT PULLBACK when everything above is reversed (bearish).
Generate alerts:
CRR BUY 1m WITHOUT PULLBACK
CRR SELL 1m WITHOUT PULLBACK
3️⃣ Single-line HUD
When a signal appears, everything is automatically set up:
DIR: BUY / SELL / —
ENTRY: entry price
SL: 1× ATR
TP1, TP2, TP3: 1×, 2×, and 3× ATR
Everything is displayed in a compact HUD (configurable position).
🧠 In simple terms:
It's your engine for quick entries in 1M when the market is moving at full speed, without pullbacks, with everything filtered by trend, strength, volume, and FVG, and it provides you with the ENTRY–SL–TPs ready to go.
CRAZY RAY RAY - Dashboard 1-5-15-1D + SMC + Clock + Candles PRO OANDA:XAUUSD This script is essentially your institutional "nuclear power plant" for scalping and swing trading: it combines the 1-5-15-1D dashboard, SMC, PRO candles, money flow times, institutional filters, Bull/Bear 12C, Liquidity HUD, Fibo Move, and Target Trend with SL + 3 TPs into a single indicator. 1. Dashboard 1–5–15–1D (Central HUD)
Calculates across 4 timeframes: 1m, 5m, 15m, and 1D:
Trend with EMAs 15/30/200.
RSI (strength >50 buy, <50 sell).
MACD (crossover in favor or against).
For each timeframe it shows:
TREND → BULLISH / BEARISH / NEUTRAL.
ACTION → BUY / SELL / WAIT.
If all 4 timeframes align:
MODE = BULLISH BUY
MODE = BEARISH SELL
Filters and displays on the HUD if buys or sells are blocked by SMC context (BLOCKED BUY / BLOCKED SELL).
Also draws 2 simple moving averages on the chart:
SMA 20 white (you can use it as a micro-trend).
SMA 200 red (macro trend and institutional reference).
2. Real-Time Clock + Trading Hours
Calculates the real time for:
New York / Miami
London
Tokyo
using current time and real time zone.
Also calculates GMT time to know which session is dominant.
Marks your trading hours:
LONDON 3:00–5:30 (London time) → goodLondon
NY OPEN 8:30–10:00 (NY time) → goodNYOpen
ASIA 20:00–23:00 (Tokyo) → goodAsiaScalp
Displays a message on the HUD:
LONDON 3:00–5:30 (1–2 TRADES)
NY OPEN 8:30–10:00 (1 TRADE)
ASIA 20–23 (SCALP)
NO TRADE ROLL / DEAD / LATE
ONLY A+ SETUPS (when not in strong trading hours).
3. Institutional Power (volume + ATR + session)
Filter that evaluates whether the moment is institutional or retail:
Checks:
If you are in a strong trading session (London / NY). If the volume is above the average × multiplier.
If the ATR is above the average × multiplier.
If it passes the filters → INST ON, otherwise → RETAIL ZONE.
Used internally to block buys/sells and for the HUD.
4. Micro-signal “NO RETRACEMENT” on 1m (BUY SR / SELL SR)
On the 1-minute timeframe, it detects a very aggressive entry:
Clean trend (15/30/200 EMAs aligned).
Price crosses the 200 EMA.
MACD turns in favor.
Marks on the candle:
BUY SR (buys without retracement below the EMA200).
SELL SR (sales without retracement above the EMA200).
This state is also reflected in the HUD as the “SR” row.
5. SMC Block: HH/HL/LH/LL + BMS + ChoCH + Fibo + Zones
This is the SMC brain of the script:
Detects swings with pivots:
Paints HH, HL, LH, LL (if you activate showHHLL).
Marks BOS (break of structure).
Marks BMS and ChoCH (with strong or weak filter using ATR, volume, MACD, gaps).
Draws:
Internal Fibo of the last range (38–50–61).
Fibo entry zone 38–78% as a green discount/premium box.
Institutional mitigation zones (simple OB type green/red boxes).
Current range with dotted yellow lines.
Calculates logic for:
antiStupidBuy: blocks purchases when the context is very bearish (LL–LL–LH, bearish ChoCH, premium, EQH, etc.).
antiStupidSell: symmetrical for sales.
From this comes:
allowBuyInst
allowSellInst
buyBlockerOn / sellBlockerOn
buyTrapDetected (BUY SR signal but context blocks it → BUY TRAP).
All this feeds the HUD and institutional alerts.
6. PRO Candles (candlestick + smart color)
Candlestick pattern system:
Detects:
Hammer, Inverted Hammer. Doji.
Strong bullish/bearish candle.
Bullish/bearish engulfing.
Uses a trend EMA to determine if the pattern is with or against the trend.
Colors the candles according to the pattern (if you enable useColorCandles).
Defines texts:
patternText (pattern name).
biasText (reversal, momentum, indecision).
Updates the HUD with the current pattern (“CANDLE: Engulf Bull”, etc.).
7. Institutional PRO Combo + Reversals
Connects everything:
fullBuySetup:
allowBuyInst TRUE (SMC + Fibo + mitigation OK).
Institutional candles in favor (engulfing, hammer, etc.).
MultiTF aligned (1m, 5m in favor, 15/1D not strongly against).
Strong session (London or NY).
No blockages.
fullSellSetup: the same for sales.
Marks on the chart:
BUY PRO, SELL PRO.
BUY REV LL → reversal from a LL, at Fibo discount, with an institutional candle and above EMA200.
SELL REV HH → reversal from HH, at Fibo premium, with an institutional candle and below EMA200.
And generates alerts for all of this.
8. Dynamic Main HUD
On barstate.islast, updates the HUD:
Changes “BUY / SELL” to:
BUY BLOCK / SELL BLOCK when the context blocks that direction.
Writes:
Current candle pattern.
Time message.
Global status:
BUY TRAP ❌, BUY REV LL ✅, SELL REV HH ✅, BUY PRO ✅, SELL PRO ✅,
BUY BLOCK, SELL BLOCK, BUY/SELL OK.
9. Bull/Bear 12C HUD (Small right HUD)
12-confirmation bull/bear engine:
Calculates:
Sweep, 5th leg, mitigation, HL/LH, strong BOS.
Volume pattern (high-low-high).
ATR rising.
MACD crossover.
Liquidity.
Fear & Greed (SMA50).
Gap/imbalance. Bull/Bear 180 weak.
Count how many are ON:
bullScore /12
bearScore /12
Define a regime:
INSTITUTIONAL → many confirmations + rvol + ATR.
NORMAL
RETAIL
Show on right HUD:
List 1 to 12 with green/red dots BULL / BEAR.
Summary: “Regime: INSTITUTIONAL / NORMAL / RETAIL”.
10. Liquidity HUD XAU SCALP
Calculates RVOL, normalized ATR, spread vs ATR, current range vs average range.
Generates score and classifies:
LOW / MED / HIGH / INS.
Only moves up one level if you are in London/NY session (depending on sessions)
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.
Liquidity Sweep Indicator (Signal-based SL + BE/TP)I created a more advanced version of my Liquidity Sweep Indicator. Open source, but I dont recommend to create a TV-strategy from the code because you should combine it with price action an chart analysis! Have fun :)
SMC Pre-Trade Checklist (Mozzys)Here is a **clean, professional description** you can use when publishing your TradingView script.
It clearly explains what the indicator does and why traders use it—perfect for the public library.
---
# **📌 Script Description (for Publishing)**
**SMC Pre-Trade Checklist (Compact Edition)**
This indicator provides a **smart, compact on-chart checklist** designed for traders who use **Smart Money Concepts (SMC)**.
Instead of guessing or rushing entries, the checklist helps you confirm the essential SMC conditions *before* taking a trade.
The checklist displays as a **small 3-column panel** in the corner of your chart, making it easy to scan without covering price action.
All items are controlled through indicator settings, where you can tick each condition as you validate it in your analysis.
---
## **🔥 What This Tool Helps You Do**
This script helps you stay disciplined by verifying the core components of an SMC setup:
### **1. Higher-Timeframe (HTF) Bias**
* Market direction clarity
* Premium vs. discount zones
* HTF POIs and liquidity targets
### **2. Liquidity Conditions**
* Liquidity sweeps
* Liquidity-based take-profit targets
### **3. Market Structure**
* BOS/CHOCH confirmation
* Displacement
* Clean pullback into POI
### **4. Entry Validation**
* Quality POI
* LTF confirmation
* Logical SL/TP and RR
### **5. Risk Management**
* Correct position sizing
* Avoiding high-impact news
* Spread/volatility conditions
### **6. Trader Discipline**
* Trade matches your model
* No revenge or emotional trading
---
## **🎯 Why Traders Love This**
Most losses come from **breaking rules**, not market randomness.
This checklist forces consistency, clarity, and patience—especially in fast environments like FX, indices, and crypto.
* Prevents emotional entries
* Reduces impulsive trades
* Keeps you aligned with your SMC plan
* Works with any strategy or SMC style
* Clean, minimal, non-intrusive layout
---
## **📌 Features**
* Compact 3-column layout
* Customizable from the indicator settings
* Works on all timeframes and assets
* Zero chart clutter
* Perfect for rule-based traders
---
## **🚀 Who This Indicator Is For**
* SMC traders
* ICT-style traders
* Liquidity-based traders
* Anyone who wants more discipline & consistency
* Backtesters who want structured trade evaluation
--
EMA + Sessions + RSI Strategy v1.0A professional trading strategy that combines multiple technical indicators for high-probability entries. This system uses EMA crossovers, RSI zone filtering, and trend confirmation to identify optimal trading opportunities while managing risk with advanced position management tools.
Key Features:
✅ Dual Entry Signals (EMA21 + EMA100 crossover conditions)
✅ Trend Filter EMA750 (trade only with the major trend)
✅ Complete Risk Management (SL 1%, TP 3% default)
✅ Trailing Stop & Breakeven (maximize profits, protect capital)
✅ Compact Statistics Table (real-time performance metrics)
✅ RSI & Session Filters (avoid low-probability setups)
✅ Optional Pyramiding (scale into winning positions)
Perfect for swing trading and trend-following on any timeframe. Fully customizable to match your trading style.
Jon Secret SauceJon Secret Sauce — Advanced Trend + Momentum Entry Signals
A premium trade-timing engine that combines MA trend confirmation, volatility filters, RSI momentum, and smart volume validation to identify high-probability long & short entries on your preferred timeframe.
Includes auto-managed exits (TP / SL / technical breakdown), professional visuals, and alert notifications so you catch the move and protect profits — without overcrowding your chart.
Apex Trend & Liquidity Master with TP/SLThe Apex Trend & Liquidity Master is a systematic trading framework that identifies trend direction and key structural price levels for entry and exit decisions. The system uses a volatility-adaptive trend detection mechanism built on Hull Moving Averages with ATR-based bands to filter consolidation periods and isolate directional moves.
The liquidity detection engine identifies potential reversal zones by marking swing highs and lows that meet statistical significance thresholds. These zones represent areas where institutional order flow previously caused price rejection. Zones remain active until price closes through them, indicating mitigation of the level.
This implementation is an enhanced derivative of the original system with fully automated risk management. Stop losses are calculated using ATR multiples with entry candle wick protection as a minimum threshold, while take profits maintain a fixed 3:1 risk-reward ratio. An additional exit mechanism closes profitable positions when price reaches opposing supply or demand zones, providing early profit-taking at probable reversal points before full target completion.
Entry signals generate only on trend changes when volume exceeds average levels, reducing false breakouts in ranging conditions. The system includes complete position tracking with three distinct exit types: take profit hits, stop loss hits, and profitable zone contact exits. All calculations use confirmed historical data with no forward-looking bias, though supply/demand zone identification operates with a confirmation lag inherent to pivot point detection.






















