US30 London Breakout V2 US30 London Breakout V2 - Professional Trading Strategy
📊 What is it?
Automated strategy that capitalizes on London range breakouts in US30 (Dow Jones), during NY session, implementing dynamic risk management and intelligent take profits for consistent performance.
⚡ Key Features:
🎯 Dynamic Stop Loss
SL based on actual swing highs/lows
Automatically adapts to market volatility
Smart protection against false breakouts
💰 Calculated Take Profit
Dynamic TP based on risk taken
Configurable ratio (1:1, 1.5:1, 2:1, etc.)
Maximizes profits while controlling risk
📈 Professional Visualization
Clean SL (red) and TP (green) lines that don't connect between sessions
Clear labels with exact values
Real-time statistics table with key metrics
⏰ Session Management
Automatically identifies London range (3am-9am NY time)
Executes trades only during NY session (9am-5pm)
Automatic end-of-day closure
📊 Real-Time Metrics:
Total Trades
Net Profit with $ sign
Win Rate %
R:R Ratio
Max Profit/Loss
Average wins and losses
⚙️ Configurable Inputs:
Lookback: Period to detect swings (default: 20)
TP Ratio: Risk multiplier for TP (default: 1.0)
Sessions: Customizable London and NY timeframes
🎯 Perfect For:
US30/Dow Jones traders
Intraday breakout strategies
Automated risk management
Scalpers and swing traders
💡 Why Choose This Strategy?
✅ Proven Logic: London breakout is a time-tested strategy
✅ Smart Risk Management: Dynamic SL adapts to market conditions
✅ Clean Execution: No repainting, clear entry/exit signals
✅ Professional Grade: Built for serious traders
✅ Plug & Play: Ready to use with optimal default settings
Transform your US30 trading with professional-grade automation!
Indicators and strategies
lucio_RCI6Displaying 6 RCIs
Long-term RCIs are shown in green, and short-term RCIs are shown in white.
Alerts can be added based on a short period of time.
lucio_😎必勝StrategyThe reversal after the RCI reaches the upper and lower bounds is used as the trigger for entry and settlement.
In order to follow the trend, record the highs and lows of the last 4 hours (adjustable) and aim for long above the center line and short below the center line.
MACD divergence alerts and plots are possible.
SMA (15m.1h.4h) tilted and colored, default display.
In the case of margin trading, it is possible to display a table showing whether there is a bias toward long or short lots for margin with the above high and low as the settlement line.
Iceberg DetectorThis Pine-script indicator helps you spot potential “iceberg” order activity by highlighting bars where volume spikes well above its average while price movement remains unusually muted. It’s purely a heuristic—no true bid/ask or futures order‐flow data is used—so treat every signal as an invitation to investigate, not as a standalone buy/sell trigger.
How It Works • Volume vs. Volume-SMA: The script compares each bar’s total volume to an N-bar simple moving average. • Price Movement vs. Movement-SMA: It measures the bar’s percent change (|close–open|/open×100) against its own N-bar SMA. • Sensitivity Slider: From 1 (loose filter) to 10 (strict filter), you control how extreme the volume spike (and muted move) must be to fire a signal. • Pivot-Style Extremes Filter: Short signals only appear when price is at or very near a recent local high, and long signals only when price is at or very near a recent local low. This dramatically cuts down “noise” on lower timeframes—script execution halts on intraday charts below 1 H.
How to Use
Apply to an hourly (or higher) chart.
Tweak “Length” parameters for your preferred look-back on volume and movement SMAs.
Adjust “Sensitivity” from 1 (more signals, weaker divergences) up to 10 (very rare, extreme divergences).
Watch for red triangles above bars (Iceberg-Short) and green triangles below (Iceberg-Long).
Important Disclaimers • This is NOT a genuine order-flow or footprint tool—it only approximates delta by bar direction. • Always contextualize Short signals near the lower end of a range or support zone, and Long signals near the upper end of a range or resistance zone. • Use additional confirmation (price patterns, larger-timeframe pivots, traditional volume/price analysis) before risking real capital.
By combining volume spikes with muted price action at range extremes, you gain a fresh lens on where hidden large orders might be lurking—without needing a dedicated order-flow feed. Use it as an idea‐generator, not as gospel
Market Structure by HorizonAIThis indicator shows market structure with BOS and CHoCH, also Order block and FVG.
Bollinger Band + SuperTrend ComboPowerful Bollinger Band + Super Trend Combo
Combine this with RSI & Order Blocks to get powerful signals
8 SMA Cross 200 SMACatch big moves, this ensures the direction of the stock price will either go up or down depending whether the 8 sma crosses above or below the 200 sma
Previous Day High/Low (PDH/PDL) LevelsPlot Powerful Key Levels Automatically
This clean and lightweight indicator marks the Previous Day’s High (PDH) and Previous Day’s Low (PDL) directly on your chart — perfect for:
✅ Breakout traders
✅ Rejection setups
✅ Liquidity zone hunters
✅ Smart money style entries
📌 Features:
Customizable line style (Solid, Dashed, Dotted)
Choose your own colors and line width
Live right-edge labels showing exact PDH/PDL prices
Automatically resets and updates each new session
Use this as a standalone tool or stack it with your confluence strategy. PDH/PDL levels don’t lie — price respects structure.
Market Structure + VIX long & shortThis indicator is an indicator for the dominance of Bigs long and short trading. I added all the indicators of CNN's put call ratio, cpc, and pcce. Bigs long is dangerous, so take a conservative approach with LL or HL, and use it for alert purposes. If possible, try to check CNN's put call ratio directly. The Bigs Short indicator is quite useful. In particular, strong short signals will be useful.
MARSdx BTCUSD Strategy🔍 Strategy Overview
The MARSdx Strategy is a hybrid trend-following and momentum-based system designed specifically for Bitcoin trading(works also on other Crypto like ETHUSD). It combines four technical indicators—SMA, EMA, RSI, and ADX—to filter high-probability long entries during strong bullish phases.
✅ Entry Conditions
Price above SMA(50) → confirms long-term bullish trend
Price above EMA(7) → confirms short-term momentum
RSI(2) > ADX(2) → confirms strong bullish pressure
Only when all three conditions are met, a long position is opened.
❌ Exit Condition
RSI(2) < ADX(2) → momentum weakens, exit position
📊 Indicators Used
SMA (Simple Moving Average) – identifies overall trend
EMA (Exponential Moving Average) – captures short-term momentum
RSI (Relative Strength Index) – gauges strength of price movement
ADX (Average Directional Index) – filters based on trend strength
⚙️ Inputs
SMA Length: Default 50
EMA Length: Default 7
RSI Length: Default 2
ADX Length: Default 2
You can tweak these parameters to suit other timeframes or crypto assets.
⚠️ This strategy only takes long trades. It does not use any stop-loss or profit target logic and should be combined with sound risk management.
Stochastic SuperTrend [BigBeluga]🔵 OVERVIEW
A hybrid momentum-trend tool that combines Stochastic RSI with SuperTrend logic to deliver clean directional signals based on momentum turns.
Stochastic SuperTrend is a straightforward yet powerful oscillator overlay designed to highlight turning points in momentum with high clarity. It overlays a SuperTrend-style envelope onto the Stochastic RSI, generating intuitive up/down signals when a momentum shift occurs across the neutral 50 level. Built for traders who appreciate simplicity without sacrificing reliability.
🔵 CONCEPTS
Stochastic RSI: Measures momentum by applying stochastic calculations to the RSI curve instead of raw price.
SuperTrend Bands: Dynamic upper/lower bands are drawn around the smoothed Stoch RSI line using a user-defined multiplier.
Momentum Direction: Trend flips when the smoothed Stoch RSI crosses above/below the calculated bands.
Neutral Bias Filter: Directional arrows only appear when momentum turns above or below the central 50 level—adding confluence.
🔵 FEATURES
Trend Detection on Oscillator: Applies SuperTrend logic directly to the Stoch RSI curve.
Clean Entry Signals:
→ 🢁 arrow printed when trend flips bullish below 50 (bottom reversals).
→ 🢃 arrow printed when trend flips bearish above 50 (top reversals).
Custom Multiplier: Adjust sensitivity of SuperTrend band spacing around the oscillator.
Neutral Zone Highlight: Visual zone between 0–50 (green) and 50–100 (red) for quick momentum polarity reference.
Toggle SuperTrend Line: Option to show/hide the SuperTrend trail on the Stoch RSI.
🔵 HOW TO USE
Use 🢁 signals for potential bottom reversals when momentum flips bullish from oversold regions.
Use 🢃 signals for potential top reversals when momentum flips bearish from overbought areas.
Combine with price-based SuperTrend or support/resistance zones for confluence.
Suitable for scalping, swing trading, or momentum filtering across all timeframes.
🔵 CONCLUSION
Stochastic SuperTrend is a simple yet refined tool that captures clean momentum shifts with directional clarity. Whether you're identifying reversals, filtering entries, or spotting exhaustion in a trend, this oscillator overlay delivers just what you need— no clutter, just clean momentum structure.
Moving Average StrategyMoving Average Strategy Indicator
A comprehensive EMA strategy tool to identify market trends with the following setup parameters:
1. Display EMA for current chart time period with graphical overlay showing fill colors for positive/negative correlation (defaulted to 50 for Fast EMA/200 for Slow EMA)
2. Overlay background time frame to show correlation with EMA on different time frame than chart value (defaulted to hourly).
3. Display BB bands with customization as well as a BB Band Cross Up and Cross down test (shows unusual and fast moving market activity by marking BB band intercept with symbol).
4. Display VWAP.
I use this tool primarily with the following configuration:
Daily charts
Fast EMA - 50
Slow EMA - 200
BG Time Frame - Weekly
BG Fast EMA - 3
BG Slow EMA - 9
BB Length - 20
BB Deviation - 4
BG Fast/Slow Crossover enabled
BG Fast/Slow Crossunder enabled
BB Dev Cross Up Test enabled
BB Dev Cross Down Test enabled
Configuration issues:
For some reason there are plot values that cannot be set to absolute. I need to dig deeper into that and will plan to post it out when I resolve the issue. I just set the values to above and below to mitigate for that.
Bar Color2. indicator("Bar Color", overlay=true) "Bar Color" is the name of the script that will appear on your chart. overlay=true means this script will be drawn directly on the price chart (not in a separate pane). 3. ma = ta.sma(close, 10) This calculates a Simple Moving Average (SMA) of the closing prices over the last 10 bars (candles). ta.sma() is the built-in function for SMA in Pine Script v5. 4. barcolor(close > ma ? color.green : color.red) This line colors each candle/bar: Green if the current close is above the 10-period moving average. Red if the close is below or equal to the moving average. barcolor() changes the bar color but doesn’t plot anything visually on top of the candles — it only recolors them.
Market Structure by HorizonAIThis indicator shows SMC Market structure with BOS and CHoCH. Internal and external structur. Use external structure for better experience.
Wawa Lite - Liquidity Sweeps + Couleurs personnalisablesThis indicator can only be used with the trend and only on gold!
Here are all the tools inside:
EMA 50 and 200 close
RSI close 14
Liquidity sweep
Tested on 500 and in profit of 60.4 on gold, used during London and New York killzones as much more relevant.
you can change the size of the sl and tp as well as the colours, I'll do an update to put them online and not in the bubble.
ONLY GOLD BEWARE
THEDU PHÁ VỠ Trendlinedùng trenline phá vỡ kẻ các duopngwf sọc chỉ báo, buy sell khi giá cắt qua. kết hợp tốt với adx
THEDU SMC TEST VDFGVDSVDSVDSFVDSVSACDAS DCA ASCASXC QAWSCX SDCSCSCZX ASDXADWQEDGBVDCV ÂCSCSACSCSCASDCVSFDVWSDEF
asdcasdasdasdasdawsdz x ã ascxascascxacx a xác sadasdcasd sza
Custom EMA Inputs (20, 40, 100, 200)This script plots four customizable Exponential Moving Averages (EMAs) on the chart—specifically the 20, 40, 100, and 200-period EMAs. Each EMA length and color can be adjusted by the user, allowing for greater flexibility in trend analysis and multi-timeframe confirmation. The script supports offsetting plots, enabling visual tweaks for alignment with other indicators or price action setups.
Ideal for traders seeking dynamic control over their moving average strategies, this tool provides a clean, adaptable foundation for both trend following and crossover systems.
WaveTrend Weekly Lower Highs V4This Pine Script creates a WaveTrend Weekly Lower Highs indicator designed to identify weakening momentum and potential trend reversals by tracking lower highs in weekly price action.
Core Purpose:
Calculates the WaveTrend oscillator using weekly timeframe data with smoothing algorithms
Automatically detects and categorizes pivot highs into different types based on their position relative to overbought levels and zero line
Key Features:
High Classification System: Labels highs as "H" (above overbought), "LH" (lower high), "LH-S" (secondary lower high), "Int-LH" (intermediate lower high below zero), or "Int-H" (intermediate high)
Lower High Detection: Specifically tracks when highs form below previous highs after an overbought condition, indicating potential weakness.
Trading Application:
This indicator helps traders identify when an asset's momentum is deteriorating through a series of lower highs, which often precedes trend reversals or significant corrections. It's particularly useful for swing traders and position traders working on weekly charts who want to spot early signs of trend exhaustion before major moves occur.
The script includes alert conditions to notify traders when different types of highs are detected.
FBO ALLinOneVoici un indicateur permettant de visualiser les points stratégiques pour appliquer notre méthode.
* Asian Box
* HHLL pour tracer les "bons" Fibo
* IMB
* BPR
RSI OB/OS THEDU 999//@version=6
indicator("RSI OB/OS THEDU 999", overlay=false)
//#region Inputs Section
// ================================
// Inputs Section
// ================================
// Time Settings Inputs
startTime = input.time(timestamp("1 Jan 1900"), "Start Time", group="Time Settings")
endTime = input.time(timestamp("1 Jan 2099"), "End Time", group="Time Settings")
isTimeWindow = time >= startTime and time <= endTime
// Table Settings Inputs
showTable = input.bool(true, "Show Table", group="Table Settings")
fontSize = input.string("Auto", "Font Size", options= , group="Table Settings")
// Strategy Settings Inputs
tradeDirection = input.string("Long", "Trade Direction", options= , group="Strategy Settings")
entryStrategy = input.string("Revert Cross", "Entry Strategy", options= , group="Strategy Settings")
barLookback = input.int(10, "Bar Lookback", minval=1, maxval=20, group="Strategy Settings")
// RSI Settings Inputs
rsiPeriod = input.int(14, "RSI Period", minval=1, group="RSI Settings")
overboughtLevel = input.int(70, "Overbought Level", group="RSI Settings")
oversoldLevel = input.int(30, "Oversold Level", group="RSI Settings")
//#endregion
//#region Font Size Mapping
// ================================
// Font Size Mapping
// ================================
fontSizeMap = fontSize == "Auto" ? size.auto : fontSize == "Small" ? size.small : fontSize == "Normal" ? size.normal : fontSize == "Large" ? size.large : na
//#endregion
//#region RSI Calculation
// ================================
// RSI Calculation
// ================================
rsiValue = ta.rsi(close, rsiPeriod)
plot(rsiValue, "RSI", color=color.yellow)
hline(overboughtLevel, "OB Level", color=color.gray)
hline(oversoldLevel, "OS Level", color=color.gray)
//#endregion
//#region Entry Conditions
// ================================
// Entry Conditions
// ================================
buyCondition = entryStrategy == "Revert Cross" ? ta.crossover(rsiValue, oversoldLevel) : ta.crossunder(rsiValue, oversoldLevel)
sellCondition = entryStrategy == "Revert Cross" ? ta.crossunder(rsiValue, overboughtLevel) : ta.crossover(rsiValue, overboughtLevel)
// Plotting buy/sell signals
plotshape(buyCondition ? oversoldLevel : na, title="Buy", location=location.absolute, color=color.green, style=shape.labelup, text="BUY", textcolor=color.white, size=size.small)
plotshape(sellCondition ? overboughtLevel : na, title="Sell", location=location.absolute, color=color.red, style=shape.labeldown, text="SELL", textcolor=color.white, size=size.small)
// Plotting buy/sell signals on the chart
plotshape(buyCondition, title="Buy", location=location.belowbar, color=color.green, style=shape.triangleup, text="BUY", textcolor=color.white, size=size.small , force_overlay = true)
plotshape(sellCondition, title="Sell", location=location.abovebar, color=color.red, style=shape.triangledown, text="SELL", textcolor=color.white, size=size.small, force_overlay = true)
//#endregion
//#region Returns Matrix Calculation
// ================================
// Returns Matrix Calculation
// ================================
var returnsMatrix = matrix.new(0, barLookback, 0.0)
if (tradeDirection == "Long" ? buyCondition : sellCondition ) and isTimeWindow
newRow = array.new_float(barLookback)
for i = 0 to barLookback - 1
entryPrice = close
futurePrice = close
ret = (futurePrice - entryPrice) / entryPrice * 100
array.set(newRow, i, math.round(ret, 4))
matrix.add_row(returnsMatrix, matrix.rows(returnsMatrix), newRow)
//#endregion
//#region Display Table
// ================================
// Display Table
// ================================
var table statsTable = na
if barstate.islastconfirmedhistory and showTable
statsTable := table.new(position.top_right, barLookback + 1, 4, border_width=1, force_overlay=true)
// Table Headers
table.cell(statsTable, 0, 1, "Win Rate %", bgcolor=color.rgb(45, 45, 48), text_color=color.white, text_size=fontSizeMap)
table.cell(statsTable, 0, 2, "Mean Return %", bgcolor=color.rgb(45, 45, 48), text_color=color.white, text_size=fontSizeMap)
table.cell(statsTable, 0, 3, "Median Return %", bgcolor=color.rgb(45, 45, 48), text_color=color.white, text_size=fontSizeMap)
// Row Headers
for i = 1 to barLookback
table.cell(statsTable, i, 0, str.format("{0} Bar Return", i), bgcolor=color.rgb(45, 45, 48), text_color=color.white, text_size=fontSizeMap)
// Calculate Statistics
meanReturns = array.new_float()
medianReturns = array.new_float()
for col = 0 to matrix.columns(returnsMatrix) - 1
colData = matrix.col(returnsMatrix, col)
array.push(meanReturns, array.avg(colData))
array.push(medianReturns, array.median(colData))
// Populate Table
for col = 0 to matrix.columns(returnsMatrix) - 1
colData = matrix.col(returnsMatrix, col)
positiveCount = 0
for val in colData
if val > 0
positiveCount += 1
winRate = positiveCount / array.size(colData)
meanRet = array.avg(colData)
medianRet = array.median(colData)
// Color Logic
winRateColor = winRate == 0.5 ? color.rgb(58, 58, 60) : (winRate > 0.5 ? color.rgb(76, 175, 80) : color.rgb(244, 67, 54))
meanBullCol = color.from_gradient(meanRet, 0, array.max(meanReturns), color.rgb(76, 175, 80), color.rgb(0, 128, 0))
meanBearCol = color.from_gradient(meanRet, array.min(meanReturns), 0, color.rgb(255, 0, 0), color.rgb(255, 99, 71))
medianBullCol = color.from_gradient(medianRet, 0, array.max(medianReturns), color.rgb(76, 175, 80), color.rgb(0, 128, 0))
medianBearCol = color.from_gradient(medianRet, array.min(medianReturns), 0, color.rgb(255, 0, 0), color.rgb(255, 99, 71))
table.cell(statsTable, col + 1, 1, str.format("{0,number,#.##%}", winRate), text_color=color.white, bgcolor=winRateColor, text_size=fontSizeMap)
table.cell(statsTable, col + 1, 2, str.format("{0,number,#.###}%", meanRet), text_color=color.white, bgcolor=meanRet > 0 ? meanBullCol : meanBearCol, text_size=fontSizeMap)
table.cell(statsTable, col + 1, 3, str.format("{0,number,#.###}%", medianRet), text_color=color.white, bgcolor=medianRet > 0 ? medianBullCol : medianBearCol, text_size=fontSizeMap)
//#endregion
// Background color for OB/OS regions
bgcolor(rsiValue >= overboughtLevel ? color.new(color.red, 90) : rsiValue <= oversoldLevel ? color.new(color.green, 90) : na)