Check List RSI Đồng Thuận Liền Kề + Gợi ý + Âm thanh + Vùngvào lệnh khung m15 Vợi sự đồng thuận của RSI ở các khung lớn hơn và nhỏ hơn liền kề : m5, m15,h1,h4
Indicadores e estratégias
6868//@version=5
indicator(title='6868', shorttitle='ICHI', overlay=true)
// Version 1.1
// Created by NgheTrader
TS_D1 = input.int(9, minval=1, title='Tenkan-sen')
KS_D1 = input.int(17, minval=1, title='Kijun-sen')
TS_D2 = input.int(65, minval=1, title='Tenkan-sen')
KS_D2 = input.int(129, minval=1, title='Kijun-sen')
Chikou_Displacement = input.int(25, minval=1, title='Chikou-span')
SB = input.int(26, minval=1, title='Senko Span B')
donchian(len) =>
math.avg(ta.lowest(len), ta.highest(len))
Tenkan = donchian(TS_D1)
Kijun = donchian(KS_D1)
KumoA = math.avg(Tenkan, Kijun)
KumoB = donchian(SB)
DG65 = donchian(TS_D2)
DG129 = donchian(KS_D2)
plot(Tenkan, color=color.new(#0fc7db, 10), title='Tenkan-sen', linewidth=2)
plot(Kijun, color=color.new(#f00f0f, 10), title='Kijun-sen', linewidth=2)
plot(DG65, color=color.new(#f8e804e6, 10), title='dg65', linewidth=2)
plot(DG129, color=color.new(#f99b04, 10), title='DG129', linewidth=2)
plot(close, offset=-Chikou_Displacement, color=color.new(#9c27b0, 10), title='Chikou-span', linewidth=2)
p1 = plot(KumoA, offset=Chikou_Displacement, color=color.new(#0cb71a, 0), linewidth=1, title='Span A')
p2 = plot(KumoB, offset=Chikou_Displacement, color=color.new(#afaaaac5,0), linewidth=1, title='Span B')
fill(p1, p2, color=KumoA > KumoB ? color.new(#106323,80) : color.new(#e4e1e1,0), title='Kumo Cloud')
// Plot Future Lines
Midpoint_future1(len) =>
math.avg(ta.highest(len - 1), ta.lowest(len - 1))
Midpoint_future2(len) =>
math.avg(ta.highest(len - 2), ta.lowest(len - 2))
Midpoint_future3(len) =>
math.avg(ta.highest(len - 3), ta.lowest(len - 3))
Midpoint_future4(len) =>
math.avg(ta.highest(len - 4), ta.lowest(len - 4))
Midpoint_future5(len) =>
math.avg(ta.highest(len - 5), ta.lowest(len - 5))
Midpoint_future6(len) =>
math.avg(ta.highest(len - 6), ta.lowest(len - 6))
Midpoint_future7(len) =>
math.avg(ta.highest(len - 7), ta.lowest(len - 7))
Midpoint_future8(len) =>
math.avg(ta.highest(len - 8), ta.lowest(len - 8))
Midpoint_future9(len) =>
math.avg(ta.highest(len - 9), ta.lowest(len - 9))
Midpoint_future10(len) =>
math.avg(ta.highest(len - 10), ta.lowest(len - 10))
Midpoint_future11(len) =>
math.avg(ta.highest(len - 11), ta.lowest(len - 11))
Midpoint_future12(len) =>
math.avg(ta.highest(len - 12), ta.lowest(len - 12))
Midpoint_future13(len) =>
math.avg(ta.highest(len - 13), ta.lowest(len - 13))
Midpoint_future14(len) =>
math.avg(ta.highest(len - 14), ta.lowest(len - 14))
// Plot Future Daily Kijun
KJ_Next_1 = Midpoint_future1(KS_D1)
KJ_Next_2 = Midpoint_future2(KS_D1)
KJ_Next_3 = Midpoint_future3(KS_D1)
KJ_Next_4 = Midpoint_future4(KS_D1)
KJ_Next_5 = Midpoint_future5(KS_D1)
KJ_Next_6 = Midpoint_future6(KS_D1)
KJ_Next_7 = Midpoint_future7(KS_D1)
KJ_Next_8 = Midpoint_future8(KS_D1)
KJ_Next_9 = Midpoint_future9(KS_D1)
KJ_Next_10 = Midpoint_future10(KS_D1)
plot(KJ_Next_1, color=color.new(#f00f0f, 10), linewidth=1, offset=1, show_last=1, style=plot.style_circles)
plot(KJ_Next_2, color=color.new(#f00f0f, 10), linewidth=1, offset=2, show_last=1, style=plot.style_circles)
plot(KJ_Next_3, color=color.new(#f00f0f, 10), linewidth=1, offset=3, show_last=1, style=plot.style_circles)
plot(KJ_Next_4, color=color.new(#f00f0f, 10), linewidth=1, offset=4, show_last=1, style=plot.style_circles)
plot(KJ_Next_5, color=color.new(#f00f0f, 10), linewidth=1, offset=5, show_last=1, style=plot.style_circles)
plot(KJ_Next_6, color=color.new(#f00f0f, 10), linewidth=1, offset=6, show_last=1, style=plot.style_circles)
plot(KJ_Next_7, color=color.new(#f00f0f, 10), linewidth=1, offset=7, show_last=1, style=plot.style_circles)
plot(KJ_Next_8, color=color.new(#f00f0f, 10), linewidth=1, offset=8, show_last=1, style=plot.style_circles)
plot(KJ_Next_9, color=color.new(#f00f0f, 10), linewidth=1, offset=9, show_last=1, style=plot.style_circles)
plot(KJ_Next_10,color=color.new(#f00f0f, 10), linewidth=1, offset=10, show_last=1, style=plot.style_circles)
// Plot Future Daily Tenkan
TS_Next_1 = Midpoint_future1(TS_D1)
TS_Next_2 = Midpoint_future2(TS_D1)
TS_Next_3 = Midpoint_future3(TS_D1)
TS_Next_4 = Midpoint_future4(TS_D1)
TS_Next_5 = Midpoint_future5(TS_D1)
TS_Next_6 = Midpoint_future6(TS_D1)
TS_Next_7 = Midpoint_future7(TS_D1)
TS_Next_8 = Midpoint_future8(TS_D1)
plot(TS_Next_1, color=color.new(#0fc7db, 10), linewidth=1, offset=1, show_last=1, style=plot.style_circles)
plot(TS_Next_2, color=color.new(#0fc7db, 10), linewidth=1, offset=2, show_last=1, style=plot.style_circles)
plot(TS_Next_3, color=color.new(#0fc7db, 10), linewidth=1, offset=3, show_last=1, style=plot.style_circles)
plot(TS_Next_4, color=color.new(#0fc7db, 10), linewidth=1, offset=4, show_last=1, style=plot.style_circles)
plot(TS_Next_5, color=color.new(#0fc7db, 10), linewidth=1, offset=5, show_last=1, style=plot.style_circles)
plot(TS_Next_6, color=color.new(#0fc7db, 10), linewidth=1, offset=6, show_last=1, style=plot.style_circles)
plot(TS_Next_7, color=color.new(#0fc7db, 10), linewidth=1, offset=7, show_last=1, style=plot.style_circles)
plot(TS_Next_8, color=color.new(#0fc7db, 10), linewidth=1, offset=8, show_last=1, style=plot.style_circles)
// Plot Future Kumo A
Next_KumoA_1 = Midpoint_future1(TS_D2)
Next_KumoA_2 = Midpoint_future2(TS_D2)
Next_KumoA_3 = Midpoint_future3(TS_D2)
Next_KumoA_4 = Midpoint_future4(TS_D2)
Next_KumoA_5 = Midpoint_future5(TS_D2)
Next_KumoA_6 = Midpoint_future6(TS_D2)
Next_KumoA_7 = Midpoint_future7(TS_D2)
Next_KumoA_8 = Midpoint_future8(TS_D2)
Next_KumoA_9 = Midpoint_future9(TS_D2)
plot(Next_KumoA_1, color=color.new(#f8e804e6, 10), linewidth=1, offset=1, show_last=1, style=plot.style_circles)
plot(Next_KumoA_2, color=color.new(#f8e804e6, 10), linewidth=1, offset=2, show_last=1, style=plot.style_circles)
plot(Next_KumoA_3, color=color.new(#f8e804e6, 10), linewidth=1, offset=3, show_last=1, style=plot.style_circles)
plot(Next_KumoA_4, color=color.new(#f8e804e6, 10), linewidth=1, offset=4, show_last=1, style=plot.style_circles)
plot(Next_KumoA_5, color=color.new(#f8e804e6, 10), linewidth=1, offset=5, show_last=1, style=plot.style_circles)
plot(Next_KumoA_6, color=color.new(#f8e804e6, 10), linewidth=1, offset=6, show_last=1, style=plot.style_circles)
plot(Next_KumoA_7, color=color.new(#f8e804e6, 10), linewidth=1, offset=7, show_last=1, style=plot.style_circles)
plot(Next_KumoA_8, color=color.new(#f8e804e6, 10), linewidth=1, offset=8, show_last=1, style=plot.style_circles)
plot(Next_KumoA_9, color=color.new(#f8e804e6, 10), linewidth=1, offset=9, show_last=1, style=plot.style_circles)
// Plot Future Kumo B
KB_Next_1 = Midpoint_future1(KS_D2)
KB_Next_2 = Midpoint_future2(KS_D2)
KB_Next_3 = Midpoint_future3(KS_D2)
KB_Next_4 = Midpoint_future4(KS_D2)
KB_Next_5 = Midpoint_future5(KS_D2)
KB_Next_6 = Midpoint_future6(KS_D2)
KB_Next_7 = Midpoint_future7(KS_D2)
KB_Next_8 = Midpoint_future8(KS_D2)
KB_Next_9 = Midpoint_future9(KS_D2)
KB_Next_10 = Midpoint_future10(KS_D2)
KB_Next_11 = Midpoint_future11(KS_D2)
KB_Next_12 = Midpoint_future12(KS_D2)
KB_Next_13 = Midpoint_future13(KS_D2)
KB_Next_14 = Midpoint_future14(KS_D2)
plot(KB_Next_1, color=color.rgb(253, 173, 0), linewidth=1, offset=1, show_last=1, style=plot.style_circles)
plot(KB_Next_2, color=color.rgb(253, 173, 0), linewidth=1, offset=2, show_last=1, style=plot.style_circles)
plot(KB_Next_3, color=color.rgb(253, 173, 0), linewidth=1, offset=3, show_last=1, style=plot.style_circles)
plot(KB_Next_4, color=color.rgb(253, 173, 0), linewidth=1, offset=4, show_last=1, style=plot.style_circles)
plot(KB_Next_5, color=color.rgb(253, 173, 0), linewidth=1, offset=5, show_last=1, style=plot.style_circles)
plot(KB_Next_6, color=color.rgb(253, 173, 0), linewidth=1, offset=6, show_last=1, style=plot.style_circles)
plot(KB_Next_7, color=color.rgb(253, 173, 0), linewidth=1, offset=7, show_last=1, style=plot.style_circles)
plot(KB_Next_8, color=color.rgb(253, 173, 0), linewidth=1, offset=8, show_last=1, style=plot.style_circles)
plot(KB_Next_9, color=color.rgb(253, 173, 0), linewidth=1, offset=9, show_last=1, style=plot.style_circles)
plot(KB_Next_10, color=color.rgb(253, 173, 0), linewidth=1, offset=10, show_last=1, style=plot.style_circles)
plot(KB_Next_11, color=color.rgb(253, 173, 0), linewidth=1, offset=11, show_last=1, style=plot.style_circles)
plot(KB_Next_12, color=color.rgb(253, 173, 0), linewidth=1, offset=12, show_last=1, style=plot.style_circles)
plot(KB_Next_13, color=color.rgb(253, 173, 0), linewidth=1, offset=13, show_last=1, style=plot.style_circles)
plot(KB_Next_14, color=color.rgb(253, 173, 0), linewidth=1, offset=14, show_last=1, style=plot.style_circles)
var line greenLine = na
var line redLine = na
xGreen = bar_index - 8
xRed = bar_index - 16
// Dùng khoảng 100 nến gần nhất để lấy phạm vi giá hiện hành
lookback = 100
top = ta.highest(high, lookback)
bottom = ta.lowest(low, lookback)
if bar_index > 17
line.delete(greenLine)
line.delete(redLine)
greenLine := line.new( x1 = xGreen, y1 = top, x2 = xGreen, y2 = bottom, color=color.new(#0fc7db, 85), width = 4)
redLine := line.new( x1 = xRed, y1 = top, x2 = xRed, y2 = bottom,color =color.new(#f00f0f, 85), width = 4 )
10/50 EMA Cloud + 21 EMA + VWAP + FractalsThis indicator is designed for active traders and combines several popular technical analysis tools into a single, easy-to-use overlay. It helps traders identify trend direction, dynamic support and resistance, and potential reversal points, all while providing optional fractal signals for added clarity.
Features and Components
1. EMA Cloud (10/50 EMA)
10-period EMA (Exponential Moving Average): Tracks short-term price momentum.
50-period EMA: Represents a longer-term trend.
Cloud Visualization: The area between the 10 and 50 EMA is filled with color:
Green cloud when the 10 EMA is above the 50 EMA, signaling bullish momentum.
Red cloud when the 10 EMA is below the 50 EMA, signaling bearish momentum.
Purpose: Quickly visualize the prevailing trend and potential trend shifts.
2. 21-period EMA
21 EMA: Plotted as a blue line, this moving average is widely used to gauge intermediate-term trend and dynamic support/resistance.
Purpose: Acts as a reference for trend-following entries and exits.
3. VWAP (Volume Weighted Average Price)
VWAP Line: Plotted in orange, VWAP gives the average price weighted by volume for the session.
Purpose: Useful for identifying fair value, potential bounce/reversal zones, and institutional interest levels.
4. Fractals (Toggleable)
User Option: A setting allows the user to turn fractal signals on or off.
Fractal Logic: Uses a 5-bar pattern:
Up Fractal: Plots a green triangle above the bar if the high of the middle bar (2 bars ago) is higher than the highs of the two bars before and after.
Down Fractal: Plots a red triangle below the bar if the low of the middle bar (2 bars ago) is lower than the lows of the two bars before and after.
Purpose: Highlights potential short-term reversal points or swing highs/lows.
5. Volume Bars
Volume Histogram: Plotted in gray at the bottom of the chart.
Purpose: Provides context for price action, helping to confirm breakouts or identify exhaustion.
How to Use This Indicator
Trend Identification: Use the EMA cloud and 21 EMA to determine the prevailing trend. Trade in the direction of the cloud color and EMA alignment.
VWAP Strategies: Look for price reactions at the VWAP for possible rebounds, breakouts, or reversals.
Fractal Signals: Enable fractals to spot potential reversal zones or to fine-tune entries/exits at swing points.
Volume Confirmation: Use volume bars to validate the strength of moves, especially near key EMAs or VWAP.
Customization
Fractals On/Off: Easily toggle fractal signals in the indicator settings to reduce chart clutter or focus on other signals as needed.
Multiple MAs for Daily and IntradayMultiple DMAs (5, 8, 10, 21, 50, 65, 200) and their equivalent in lower timeframes (3min, 30min, 65min) with the options to select from SMA or EMA.
Price - MA DifferencePlots the difference between the closing price and a moving average (either SMA or EMA) in a separate pane. It includes:
Dropdown to choose between SMA and EMA
Adjustable length (default 21)
Yellow color as default for the plot
8/21 EMA Early Buy/Sell + Golden CrossThis is a a really easy 8/21 EMA Buy/Sell Indicator with a Golden/Death Cross warning plus the ability to adjust and add Early Buy/Sell's
How it works:
Standard BUY/SELL: 8/21 EMA cross as usual.
EARLY SELL: After a strong price up move, EMA8 still above EMA21, and EMA8 turns down.
EARLY BUY: After a strong price down move, EMA8 still below EMA21, and EMA8 turns up.
Golden/Death Cross: From daily 50/200 SMA.
Recommended Colours:
8 EMA Red
21 EMA Blue
50 SMA Purple
200 SMA White
CVD Signal (Above/Below Zero Line)CVD Long or Short Signal when the CVD is above or below zero line.
Support & Resistance by O Dinesh BabuThis Script is Specifically Designed to Work with NIFTY, BANKNIFTY & FINNIFTY Indices Only..
For Optimal Results, Please Wait for the 1st 15-Minute Candle to Complete Before Initiating Any Trades..
Wishing All Traders the Very Best in Their Journey..
Warm Regards,
O. Dinesh Babu
Son of Mr. & Mrs. O. Asha Rama Krishna
Cobra Hedge Dashboard – V1.0 Final Master🧠 Cobra Hedge Dashboard – V1.0 Final Master
V1.0 | Smart Risk Filter for Open Hedge Positions
📝 (Description):
Cobra Hedge Dashboard is built specifically for traders managing open hedge positions. It provides a real-time view of directional pressure, smart zones, and price behavior to help make informed decisions such as:
When to partially close hedge orders
When to reverse positions based on flow & exhaustion
Which side (Buy or Sell) currently has momentum
Detecting price reaching critical zones (Supply/Demand)
Measuring volume strength to avoid fake exits
🔍 Ideal for traders already in the market — this dashboard is not an entry signal system, but a tool to manage hedge exits and exposure.
Built-in calculations include:
VWAP and EMA cross-pressure
Directional flow meter
Auto Supply & Demand Zones
Volume spikes and breakout strength
Best used on 1m–15m charts.
Open-source for transparency and improvement.
250710 Momentum Buy TriggerWhat It Does (Step by Step)
Sets Up a Moving Average
Calculates a 200-period Simple Moving Average (SMA) of the closing price.
You can change the period by adjusting the maPeriod input.
Calculates Momentum with MACD Histogram
Uses MACD (Moving Average Convergence Divergence) with standard settings:
Fast EMA: 12
Slow EMA: 26
Signal Line: 9
Subtracts the signal line from the MACD line to get the MACD histogram (a momentum indicator).
Defines a Buy Signal
The script checks two conditions:
Price is below the 200-period SMA → suggesting the asset is undervalued.
MACD histogram is rising (i.e., current value is greater than the previous bar) → suggesting bullish momentum is starting.
If both are true on the same bar, a "Buy" signal is generated.
COBRA X Mastermind – Ultimate Smart Panel✅ COBRA X Mastermind – Ultimate Smart Panel
COBRA X Mastermind – Ultimate Panel | Structure, Volume, Signals & Smart Entry
📝 (Description):
COBRA X Mastermind is a precision smart panel for reading market structure, detecting high-quality entries and visualizing critical components in one screen:
Detect Break of Structure (BoS) and CHoCH with context
Auto-mark Order Blocks and Fair Value Gaps (FVGs)
Volume Spike & VWAP alignment for smart trend confirmation
Directional bias from EMA + Dynamic Flow analysis
Hidden divergence detection to anticipate trap moves
Built-in Signal Strength meter with real-time TP/SL suggestion
Each row in the panel reflects a real-time reading of price action, structure, volume, and entry risk.
🔍 How to use it:
Look for a valid signal only when structure + volume + divergence are in agreement. Use the panel strength bar to validate setups.
This script is open-source and optimized for 1m and 5m charts, especially on Gold and FX pairs.
Clean, non-repainting, and built for professional scalpers.
Bull Momentum GaugeBull Momentum Gauge
The Bull Momentum Gauge is a powerful momentum oscillator designed to identify the underlying strength and sustainability of major market trends. Instead of trying to predict tops and bottoms, this indicator helps traders and investors ride long-term bull markets by signaling when momentum is building and when it is starting to fade.
What it Does
At its core, this tool measures how statistically "stretched" or "compressed" an asset's price is relative to its long-term (1-year) trend. It does this by:
Calculating the price's deviation from its 365-day moving average.
Normalizing this deviation into a Z-score to measure its statistical significance.
Comparing the inverted Z-score to its own 200-day moving average to gauge the momentum of the trend itself.
The result is a single, smooth line that oscillates around a zero value.
How to Use It
The signals are simple and based on the indicator's relationship to the zero line:
Green Line (Gauge below 0): This indicates that the price has been compressed relative to its long-term trend and is now showing signs of building upward momentum. A cross into the green zone can be interpreted as a potential entry signal for a new bull run.
Red Line (Gauge above 0): This suggests that the price has become over-extended or "stretched" and the upward momentum is beginning to weaken. A cross into the red zone can be used as a potential exit signal, indicating it may be time to take profits and wait for the next cycle.
This indicator is designed to work across multiple timeframes (Daily, Weekly, Monthly) and provides a clear, data-driven framework for navigating major market cycles.
ds-Volume with Flags & Alerts v1.2ds-Volume with Flags & Alerts: User & Training Guide
1. Summary of Features
This indicator is a powerful, all-in-one tool designed to give you a deep and customizable view of market volume. By analyzing volume in multiple ways, it helps you spot unusual activity, confirm trends, and identify potential reversals.
How It Helps a Trader:
Spotting Institutional Activity: The core purpose of the Volume Flags (using either the Multiplier or Standard Deviation method) is to highlight bars with exceptionally high volume. These spikes often signal the entry or exit of large institutional players. A high-volume up-bar can confirm bullish conviction, while a high-volume down-bar can signal significant selling pressure.
Identifying Climactic Events: The HVE (Highest Volume Ever) and HV1 (Highest Volume - 1 Year) labels automatically pinpoint the most significant volume events on the chart. A "blow-off top" at the end of a long uptrend or a "capitulation" event at a market bottom is almost always accompanied by an HVE or HV1 bar. These are critical moments to watch for potential trend reversals.
Gauging Buying vs. Selling Pressure: The Up/Down Volume Ratio gives you a more nuanced view than volume alone. A ratio consistently above 1.2 suggests that buyers are more aggressive, while a ratio below 0.8 suggests sellers are in control. Watching this ratio can help you confirm the strength of a trend or spot divergences where price is rising but the ratio is falling (a potential warning sign).
Visual Confirmation & Customization: With options to color both the volume bars and the main price bars, you can get instant visual confirmation of these events without having to look away from the price action. The ability to toggle features on and off keeps your chart clean and focused on what matters most to you.
Actionable Alerts: The comprehensive alert system ensures you don't miss a key event. You can be notified of everything from a new all-time high volume bar to a subtle shift in the Up/Down Volume Ratio, allowing you to react to market changes in real-time.
2. User-Changeable Options
This indicator is highly customizable. Here is a breakdown of every setting available in the "Inputs" tab.
General Settings
MA Length: The lookback period for the simple moving average (the gray area plot) of the volume.
Volume Flags
Color Price Bars with Flags: If checked, the main price bars on your chart will be colored when a high or low volume flag condition is met.
Color Volume Bars with Flags: If checked, the volume bars in the indicator pane will be colored for flag conditions.
Flag Calculation Method: This is a crucial setting.
Multiplier (Default): Identifies high volume based on a simple multiple of the average volume (e.g., volume is 1.4x its average). It's simple and intuitive.
Standard Deviation: Identifies high volume based on how statistically unusual it is compared to its recent behavior. This method is more adaptive to changing market volatility.
Daily/Weekly Lookback (Multiplier): Sets the lookback period for calculating the average volume when using the "Multiplier" method.
Daily/Weekly High-Vol Multiplier: Sets the multiplier for a high volume event (e.g., 1.4).
STDEV Length (Daily/Weekly): Sets the lookback period for calculating the average and standard deviation when using the "Standard Deviation" method.
STDEV Threshold (Daily/Weekly): Sets the number of standard deviations above the average required to trigger a high volume flag (e.g., 2.0).
Daily/Weekly Low-Vol Multiplier: Sets the threshold for a low volume event (e.g., 0.5 means volume is less than 50% of its average). This is always based on the multiplier method.
Ratios & Stats
Up/Down Ratio Daily/Weekly Lookback: Sets the lookback period for calculating the sum of up volume and down volume for the ratio.
Ratio Calculation Method:
Close vs. Open: Defines an "up volume" bar as one where the close is higher than the open.
Close vs. Previous Close (Default): Defines an "up volume" bar as one where the close is higher than the previous bar's close. This is a common standard.
Up Ratio Arrow Threshold: If the U/D Ratio exceeds this value, a green "up" arrow will appear.
Show Up Ratio Arrow: Toggles the visibility of the green "up" arrow.
Down Ratio Arrow Threshold: If the U/D Ratio falls below this value, a red "down" arrow will appear.
Show Down Ratio Arrow: Toggles the visibility of the red "down" arrow.
High Selling Point Reversal V6.0Criteria combined for a "High Selling Point" signal: Best used for exiting long positions or entering shorts
Overbought Condition (RSI):
Purpose: Ensures the asset has had a significant run-up and is potentially exhausted.
Criteria: RSI (Relative Strength Index) is above a certain threshold (e.g., 70 or 80).
Bearish Candlestick Reversal Pattern:
Purpose: Identifies specific price action that indicates a shift from buying to selling pressure.
Criteria: We can implement detection for one or more strong bearish patterns. A good starting point would be:
Bearish Engulfing: A bearish candle whose real body completely covers the previous bullish candle's real body. This is a very strong two-candle reversal signal.
Shooting Star: A candle with a small real body at the lower end of the range, a long upper shadow, and little to no lower shadow. It signifies rejection of higher prices.
Evening Star: A three-candle pattern: a large bullish candle, followed by a small-bodied candle (the "star"), and then a large bearish candle. This is a powerful top reversal.
Negative Divergence (Optional but powerful):
Purpose: Indicates weakening momentum despite price continuing to rise, suggesting underlying weakness.
Criteria: Price makes a higher high, but a momentum oscillator (like RSI or MACD) makes a lower high.
Combine with other indicators for confluence
DP_ORB Entry & Exit IndicatorDisclaimer:
This indicator is for educational purposes only. It does not constitute financial advice. Always do your own research and manage your risk. Also, I cannot take full credit for 'ORB' as its a well known strategy amongst many traders, but I do need to give a special shout out to @TheBigDaddyMax for putting me on to this.
DP_ORB Entry & Exit Indicator
Description:
The DP_ORB Entry & Exit Indicator is a powerful tool designed for traders who utilize the Opening Range Breakout (ORB) strategy on the NYSE session. This indicator visually identifies the initial volatility window of the trading day, by marking the 15m High, and 15m Low into a ORB Box, & then tracks breakout opportunities, and provides clear, dynamic trade management levels—all directly on your chart.
Key Features:
Automatic Opening Range (ORB) Box:
Identifies and plots the high and low of the user-defined opening range (default 9:30–9:45 NYSE) for visual reference and strategy foundation.
Breakout Entry Signals:
Automatically detects and marks long or short breakout entries when price closes above or below the ORB range, with additional momentum confirmation.
Dynamic Stop Loss:
Stop loss is intelligently set to the previous bar’s low for long trades (or high for shorts), adapting to market structure at entry.
Take Profit Targets:
Up to three fully adjustable take-profit levels are plotted, calculated as percentages from entry, supporting progressive trade management.
Visual Trade Management:
Entry, stop loss, and take profit levels are displayed as extending dashed lines from entry point to the current bar, with labels always shown just to the right of price for clarity on all timeframes.
Automatic Reset and Cleanup:
Visuals and logic reset daily and upon exit, ensuring a clean, uncluttered chart experience.
How to Use:
Set your preferred opening range time and take profit levels in the settings.
Wait for a breakout and confirmation during the NYSE session.
Use the on-chart lines and labels to manage your trade according to your risk and strategy plan.
Best For:
Day traders and scalpers seeking a disciplined, visual, and fully-automated approach to opening range breakout trading.
TSL Drunken BirdA huge shoutout to @anotherDAPTrader for inspiration and support in developing this system!
Overview:
The Accurate Swing Trading System is a powerful technical analysis tool designed for swing traders on TradingView. It generates precise buy and sell signals based on price action crossing a dynamic Trailing Stop Loss (TSL) level, calculated from recent highs and lows. Enhanced with optional Higher Time Frame (HTF) confluence, the system aligns short-term signals with broader market trends, making it ideal for traders seeking to optimize entries and exits. Visual indicators include signal labels, customizable horizontal lines, a colored TSL line, and optional bar/background coloring. Alerts support trade execution across various assets, such as NASDAQ E-mini futures, stocks, forex, and more. A special shoutout to AnotherDAPTrader for inspiration and support in developing this system!
Key Features:
Swing Signals: Generates "BUY" and "SELL" signals when the closing price crosses above/below the TSL, based on a user-defined lookback period (Swing).
HTF Confluence: Adjusts signals based on the HTF trend (e.g., "EXIT LONG" instead of "SELL" if HTF is bullish), toggleable via Use HTF Confluence.
HTF Selection: Choose from 8 timeframes: 5-minute, 15-minute, 30-minute, 1-hour, 4-hour, Daily, Weekly, or Monthly.
Horizontal Lines: Plots green (buy) and red (sell) lines at the closing price of signal bars, with a toggle to extend lines 50 or 500 bars.
TSL Visualization: Displays a TSL line (green if close >= TSL, red if close < TSL) to highlight dynamic support/resistance levels.
Bar/Background Coloring: Optionally colors candlesticks and chart background green (bullish) or red (bearish) based on price relative to TSL.
Alerts: Configurable alerts for "Buy Signal" and "Sell Signal" on price crossovers/crossunders.
Persistent Behavior: All components (signals, labels, lines, TSL, coloring) remain on the chart indefinitely, consistent with the original design.
Use Cases:
Perfect for swing trading on any timeframe (e.g., 1-minute for scalping, 1-hour for swing trading) and asset (e.g., NASDAQ E-mini futures, stocks, forex).
Enhances decision-making by aligning short-term trades with higher timeframe trends.
Supports both manual trading (via visual cues) and automated trading (via alerts).
License:
Released under the Mozilla Public License 2.0. Created by ceyhun, with a shoutout to AnotherDAPTrader.
How to Use the Accurate Swing Trading System in TradingView
Add the Script to TradingView:
Open TradingView (www.tradingview.com) in a browser or desktop app.
Navigate to the Pine Editor (bottom panel of any chart).
Copy and paste the provided Pine Script code.
Click "Add to Chart" to apply the indicator to your active chart.
Configure Indicator Settings:
Access settings by clicking the gear icon next to the indicator name on the chart.
Adjust the following inputs:
Swing (default: 3): Defines the lookback period for calculating the highest high and lowest low used in the TSL. Higher values produce smoother but potentially delayed signals.
Barcolor (default: true): Enables/disables green (bullish) or red (bearish) candlestick coloring based on close vs. TSL.
Bgcolor (default: false): Enables/disables green/red background coloring for trend visualization.
Use HTF Confluence (default: true): Enables/disables HTF trend filtering. When enabled, signals adjust to reflect HTF trend (e.g., "EXIT LONG" for sell signals if HTF is bullish).
Higher Time Frame (default: "60"): Select from for 5-minute, 15-minute, 30-minute, 1-hour, 4-hour, Daily, Weekly, or Monthly HTF analysis.
Use Long Horizontal Lines (500 bars) (default: true): Toggles horizontal line length between 500 bars (long) and 50 bars (short).
Interpret Signals and Visuals:
Signal Labels:
"BUY" (green, below bar): Triggered when close crosses above TSL (and HTF is bullish or use_htf is off).
"SELL" (red, above bar): Triggered when close crosses below TSL (and HTF is bearish or use_htf is off).
"EXIT SHORT" (orange, below bar): Triggered on buy signals when HTF is bearish (with use_htf on).
"EXIT LONG" (orange, above bar): Triggered on sell signals when HTF is bullish (with use_htf on).
Horizontal Lines:
Green lines (buy signals) and red lines (sell signals) are plotted at the close price of the trigger bar, aligning with TSL color changes (green to red or vice versa).
Lines extend 50 bars (if long_lines is false) or 500 bars (if true) to the right.
TSL Line: A continuous line (linewidth=3) showing the TSL level, colored green (close >= TSL) or red (close < TSL).
Bar/Background Coloring: If enabled, candlesticks and background are colored green (bullish) or red (bearish) based on close vs. TSL.
Set Up Alerts:
Right-click the indicator name on the chart and select "Add Alert."
Choose "Buy Signal" or "Sell Signal" as the condition.
Configure alert settings (e.g., notification method, frequency: once per bar, etc.).
Alerts trigger on Buy (crossover) or Sell (crossunder) events, ideal for trade execution or monitoring.
Test on a Chart:
Apply to a chart (e.g., NASDAQ E-mini futures, 1-minute timeframe, as per your metadata from July 10, 2025, 05:41 PM CDT).
Verify:
Labels: "BUY", "SELL", "EXIT LONG", "EXIT SHORT" appear only on crossover/crossunder bars.
Horizontal Lines: Green/red lines plot at the close price where TSL changes color (green to red for Sell, red to green for Buy), extending 50 or 500 bars based on long_lines.
TSL Line: Updates continuously, colored green/red based on close vs. TSL.
Coloring: Bar/background coloring (if enabled) reflects trend direction.
HTF Confluence: With use_htf on, test htf_res = "M" (and others like "60", "D") to ensure signals adjust correctly (e.g., "EXIT LONG" for sell signals if monthly HTF is bullish).
Alerts: Confirm alerts trigger on crossovers/crossunders.
Ensure all components persist indefinitely (no decay).
Best Practices:
Timeframe: Use on any timeframe (e.g., 1m for scalping, 1h for swing trading). Adjust Swing to balance signal frequency and reliability.
Asset: Suitable for volatile assets like NASDAQ E-mini futures, stocks, or forex.
HTF Alignment: Enable use_htf for trend-aligned trades, especially on higher timeframes like "D" or "M".
Line Length: Use long_lines = true for longer-term visualization (500 bars) or false for shorter-term (50 bars).
Risk Management: Combine with stop-loss/take-profit levels and proper position sizing, as the system does not include risk management.
Acknowledgments:
License Note:
This script is provided under the Mozilla Public License 2.0. Users are free to use, modify, and distribute it per the license terms.
Break & Retest Strategy V2 (Clean Visuals)This strategy is built on a high-probability EMA breakout and retest model, designed for traders who want clean structure-based entries filtered by trend alignment and strong price action. It leverages:
• ✅ A 44 EMA trend filter on the 4H chart
• ✅ HTF directional bias from the Daily 44 EMA
• ✅ Breakout above the EMA followed by a wick-based retest
• ✅ Strong bullish candle confirmation (body > 50% of range)
• ✅ Dynamic stop loss using either the pivot low or a buffer below the EMA
• ✅ Fixed 1:3 Risk:Reward ratio for consistent reward targeting
• ✅ Cooldown system to prevent overtrading
• ✅ Clean, minimal visuals using smart RR boxes instead of chart clutter
This system is fully backtestable and designed with prop firm challenge criteria in mind — prioritizing risk control, clarity, and high-quality trade conditions.
⸻
🔧 Current Development Goals (V3 Roadmap)
We’re actively refining the system to improve win rate and profit factor, while keeping drawdown low. Key upgrades in progress:
1. 📈 Liquidity Trap Filter
• Add logic to confirm a wick below recent lows (liquidity sweep) before retesting the EMA
2. 🧠 Partial Take Profits + Breakeven Logic
• TP1 at 1.5R → move SL to breakeven
• TP2 at 3R → close remaining position
3. 🔁 Trade Session Filter
• Limit entries to London & New York AM sessions to avoid false signals in low volume periods
4. 📉 Short Entry Engine
• Mirror logic for bearish break + retest setups below the EMA
5. 🔔 Live Alerts System
• Entry signal alerts for hands-free, real-time trading decisions
6. 📊 Optimizer Toolkit (future)
• Add ATR/volatility filters
• Add market structure confluence zones (HH/HL filters)
• Smart cooldown timer based on wins/losses or volatility shifts
Smart Impulse Exhaustion Finder (ATR + ADX Filter)
Smart Impulse Exhaustion Finder (ATR + ADX Filter)
This advanced script helps you spot potential trend exhaustion points exactly where impulsive moves may lose strength.
It automatically combines multiple conditions:
✅ Identifies fresh swing highs and lows using a smart lookback range.
✅ Confirms strong price extension with a minimum ATR distance from the previous swing.
✅ Uses RSI extremes, volume spikes, and candle wick rejection to detect signals only when at least two out of three exhaustion factors align.
✅ Filters out false signals during sideways chop using an ADX trend strength filter.
✅ Ignores noise candles like dojis by requiring a clear minimum body size.
This makes the tool flexible for catching late-stage trend impulses that might be due for a pullback or reversal — ideal for trailing stop strategies, partial profit taking, or hunting reversal setups on crypto, forex or stocks.
How to use
📌 Tip: This is a sniper-type tool that can catch the very start of a reversal.
Therefore, when trading its signals, it’s strongly recommended to use a Risk:Reward ratio of at least 1:3 — especially for crypto markets.
The idea is simple:
Look for exhaustion signals at fresh swing highs for potential short pullbacks.
Or at fresh swing lows for potential long reversals.
Combine with your own trend and context tools.
Always test thoroughly before live trading.
Inputs
🔹 Extremum Lookback: Defines how far back to check for fresh highs/lows.
🔹 ATR Threshold: Controls the minimum impulse distance.
🔹 ADX Filter: Ensures signals only appear in meaningful trending conditions.
🔹 Body and Wick Filters: Reduce noise by rejecting tiny candles and highlighting clear rejection tails.
Disclaimer
⚠️ This script is for educational purposes only and does not constitute financial advice.
Trade responsibly — always use proper risk management and test before deploying in live conditions.
Tesla's 3-6-9 Grid – BTC Price LevelsThis indicator plots horizontal levels on the chart at every $1800 step, up to $180,000.
It’s inspired by Tesla’s 3-6-9 theory and the magic of the number 18 – the only number divisible by 3, 6, and 9, and whose digital root is 9.
Historically, many Bitcoin all-time highs have aligned closely with $1800 multiples, such as:
* $19,800 (2017 ATH)
* $64,800 and $68,400 (2021 double tops)
* $73,800 (2024 ATH)
This grid helps you visualize whether BTC respects these “Tesla levels” and how price interacts with them across cycles.
Created to assist multi-chart BTC traders who need quick reference levels without drawing lines manually.
