Point and Figure (PnF) ChartThis is live and non-repainting Point and Figure Charting tool. The tool has it’s own P&F engine and not using integrated function of Trading View.
Point and Figure method is over 150 years old. It consist of columns that represent filtered price movements. Time is not a factor on P&F chart but as you can see with this script P&F chart created on time chart.
P&F chart provide several advantages, some of them are filtering insignificant price movements and noise, focusing on important price movements and making support/resistance levels much easier to identify.
If you are new to Point & Figure Chart then you better get some information about it before using this tool. There are very good web sites and books. Please PM me if you need help about resources.
Options in the Script
Box size is one of the most important part of Point and Figure Charting. Chart price movement sensitivity is determined by the Point and Figure scale. Large box sizes see little movement across a specific price region, small box sizes see greater price movement on P&F chart. There are four different box scaling with this tool: Traditional, Percentage, Dynamic (ATR), or User-Defined
4 different methods for Box size can be used in this tool.
User Defined: The box size is set by user. A larger box size will result in more filtered price movements and fewer reversals. A smaller box size will result in less filtered price movements and more reversals.
ATR: Box size is dynamically calculated by using ATR, default period is 20.
Percentage: uses box sizes that are a fixed percentage of the stock's price. If percentage is 1 and stock’s price is $100 then box size will be $1
Traditional: uses a predefined table of price ranges to determine what the box size should be.
Price Range Box Size
Under 0.25 0.0625
0.25 to 1.00 0.125
1.00 to 5.00 0.25
5.00 to 20.00 0.50
20.00 to 100 1.0
100 to 200 2.0
200 to 500 4.0
500 to 1000 5.0
1000 to 25000 50.0
25000 and up 500.0
Default value is “ATR”, you may use one of these scaling method that suits your trading strategy.
If ATR or Percentage is chosen then there is rounding algorithm according to mintick value of the security. For example if mintick value is 0.001 and box size (ATR/Percentage) is 0.00124 then box size becomes 0.001.
And also while using dynamic box size (ATR or Percentage), box size changes only when closing price changed.
Reversal : It is the number of boxes required to change from a column of Xs to a column of Os or from a column of Os to a column of Xs. Default value is 3 (most used). For example if you choose reversal = 2 then you get the chart similar to Renko chart.
Source: Closing price or High-Low prices can be chosen as data source for P&F charting.
Chart Style: There are 3 options for chart style: “Candle”, “Area” or “Don’t show”.
As Area:
As Candle:
X/O Column Style: it can show all columns from opening price or only last Xs/Os.
Color Theme: different themes exist => Green/Red, Yellow/Blue, White/Yellow, Orange/Blue, Lime/Red, Blue/Red
Show Breakouts is the option to show Breakouts
This tool detects & shows following Breakouts:
Triple Top/Bottom,
Triple Top Ascending,
Triple Bottom Descending,
Simple Buy/Sell (Double Top/Bottom),
Simple Buy With Rising Bottom,
Simple Sell With Declining Top
Catapult bullish/bearish
Show Horizontal Count Targets: Finds the congestion or consolidation pattern and if there is breakout then it calculates the Target by using Horizontal Count method (based on the width of congestion pattern). It shows how many column exist on congestion area. There is no guarantee that prices will reach the target.
Show Vertical Count Targets: When Triple Top/Bottom Breakouts occured the script calculates the target by using Vertical Count Method (based on the length of the column). There is no guarantee that prices will reach the target.
For both methods there is auto target cancellation if price goes below congestion bottom or above congestion top.
trend is calculated by EMA of closing price of the P&F
Whipsaw protection:
Last options are “Show info panel” and Labeling Offset. Script shows current box size, reversal, and recommanded minimum and maximum box size. And also it shows the price level to reverse the column (Xs <-> Os) and the price level to add at least 1 more box to column. This is the option to put these labels 10, 20, 30, 50 or 100 bars away from the last bar. Labeling content and color change according to X/O column.
do not hesitate to comment.
"美股标普500" için komut dosyalarını ara
Candlesticks ANN for Stock Markets TF : 1WHello, this script consists of training candlesticks with Artificial Neural Networks (ANN).
In addition to the first series, candlesticks' bodies and wicks were also introduced as training inputs.
The inputs are individually trained to find the relationship between the subsequent historical value of all candlestick values 1.(High,Low,Close,Open)
The outputs are adapted to the current values with a simple forecast code.
Once the OHLC value is found, the exponential moving averages of 5 and 20 periods are used.
Reminder : OHLC = (Open + High + Close + Low ) / 4
First version :
Script is designed for S&P 500 Indices,Funds,ETFs, especially S&P 500 Stocks,and for all liquid Stocks all around the World.
NOTE: This script is only suitable for 1W time-frame for Stocks.
The average training error rates are less than 5 per thousand for each candlestick variable. (Average Error < 0.005 )
I've just finished it and haven't tested it in detail.
So let's use it carefully as a supporter.
Best regards !
TNZ - Index above MA Use this indicator to filter stock selection based on the relevant index value being above the selected simple moving average.
For example, only buying the S+P 500 stock if the S+P 500 index value is above the 10 period moving average.
The time frame used is that displayed
Macroeconomic Artificial Neural Networks
This script was created by training 20 selected macroeconomic data to construct artificial neural networks on the S&P 500 index.
No technical analysis data were used.
The average error rate is 0.01.
In this respect, there is a strong relationship between the index and macroeconomic data.
Although it affects the whole world,I personally recommend using it under the following conditions: S&P 500 and related ETFs in 1W time-frame (TF = 1W SPX500USD, SP1!, SPY, SPX etc. )
Macroeconomic Parameters
Effective Federal Funds Rate (FEDFUNDS)
Initial Claims (ICSA)
Civilian Unemployment Rate (UNRATE)
10 Year Treasury Constant Maturity Rate (DGS10)
Gross Domestic Product , 1 Decimal (GDP)
Trade Weighted US Dollar Index : Major Currencies (DTWEXM)
Consumer Price Index For All Urban Consumers (CPIAUCSL)
M1 Money Stock (M1)
M2 Money Stock (M2)
2 - Year Treasury Constant Maturity Rate (DGS2)
30 Year Treasury Constant Maturity Rate (DGS30)
Industrial Production Index (INDPRO)
5-Year Treasury Constant Maturity Rate (FRED : DGS5)
Light Weight Vehicle Sales: Autos and Light Trucks (ALTSALES)
Civilian Employment Population Ratio (EMRATIO)
Capacity Utilization (TOTAL INDUSTRY) (TCU)
Average (Mean) Duration Of Unemployment (UEMPMEAN)
Manufacturing Employment Index (MAN_EMPL)
Manufacturers' New Orders (NEWORDER)
ISM Manufacturing Index (MAN : PMI)
Artificial Neural Network (ANN) Training Details :
Learning cycles: 16231
AutoSave cycles: 100
Grid
Input columns: 19
Output columns: 1
Excluded columns: 0
Training example rows: 998
Validating example rows: 0
Querying example rows: 0
Excluded example rows: 0
Duplicated example rows: 0
Network
Input nodes connected: 19
Hidden layer 1 nodes: 2
Hidden layer 2 nodes: 0
Hidden layer 3 nodes: 0
Output nodes: 1
Controls
Learning rate: 0.1000
Momentum: 0.8000 (Optimized)
Target error: 0.0100
Training error: 0.010000
NOTE : Alerts added . The red histogram represents the bear market and the green histogram represents the bull market.
Bars subject to region changes are shown as background colors. (Teal = Bull , Maroon = Bear Market )
I hope it will be useful in your studies and analysis, regards.
Damped Sine Wave Weighted FilterIntroduction
Remember that we can make filters by using convolution, that is summing the product between the input and the filter coefficients, the set of filter coefficients is sometime denoted "kernel", those coefficients can be a same value (simple moving average), a linear function (linearly weighted moving average), a gaussian function (gaussian filter), a polynomial function (lsma of degree p with p = order of the polynomial), you can make many types of kernels, note however that it is easy to fall into the redundancy trap.
Today a low-lag filter who weight the price with a damped sine wave is proposed, the filter characteristics are discussed below.
A Damped Sine Wave
A damped sine wave is a like a sine wave with the difference that the sine wave peak amplitude decay over time.
A damped sine wave
Used Kernel
We use a damped sine wave of period length as kernel.
The coefficients underweight older values which allow the filter to reduce lag.
Step Response
Because the filter has overshoot in the step response we can conclude that there are frequencies amplified in the passband, we could have reached to this conclusion by simply seeing the negative values in the kernel or the "zero-lag" effect on the closing price.
Enough ! We Want To See The Filter !
I should indeed stop bothering you with transient responses but its always good to see how the filter act on simpler signals before seeing it on the closing price. The filter has low-lag and can be used as input for other indicators
Filter with length = 100 as input for the rsi.
The bands trailing stop utility using rolling squared mean average error with length 500 using the filter of length 500 as input.
Approximating A Least Squares Moving Average
A least squares moving average has a linear kernel with certain values under 0, a lsma of length k can be approximated using the proposed filter using period p where p = k + k/4 .
Proposed filter (red) with length = 250 and lsma (blue) with length = 200.
Conclusions
The use of damping in filter design can provide extremely useful filters, in fact the ideal kernel, the sinc function, is also a damped sine wave.
VIX reversion-Buschi
English:
A significant intraday reversion (commonly used: 3 points) on a high (over 20 points) S&P 500 Volatility Index (VIX) can be a sign of a market bottom, because there is the assumption that some of the "big guys" liquidated their options / insurances because the worst is over.
This indicator shows these reversions (3 points as default) when the VIX was over 20 points. The character "R" is then shown directly over the daily column, the VIX need not to be loaded explicitly.
Deutsch:
Eine deutliche Intraday-Umkehr (3 Punkte im Normalfall) bei einem hohen (über 20 Punkte) S&P 500 Volatility Index (VIX) kann ein Zeichen für eine Bodenbildung im Markt sein, weil möglicherweise einige "große Jungs" ihre Optionen / Versicherungen auflösen, weil das schlimmste vorbei ist.
Dieser Indikator zeigt diese Umkehr (Standardwert: 3 Punkte), wenn der VIX vorher über 20 Punkte lag. Der Buchstabe "R" wird dabei direkt über dem Tagesbalken angezeigt, wobei der VIX nicht explizit geladen werden muss.
Relative Price StrengthThe strength of a stock relative to the S&P 500 is key part of most traders decision making process. Hence the default reference security is SPY, the most commonly trades S&P 500 ETF.
Most profitable traders buy stocks that are showing persistence intermediate strength verses the S&P as this has been shown to work. Hence the default period is 63 days or 3 months.
TICK Extremes IndicatorSimple TICK indicator, plots candles and HL2 line
Conditional green/red coloring for highs above 500, 900 and lows above 0, and for lows below -500, -900, and highs above 0
Probably best used for 1 - 5 min timeframes
Always open to suggestions if criteria needs tweaking or if something else would make it more useful or user-friendly!
Market direction and pullback based on S&P 500.A simple indicator based on www.swing-trade-stocks.com The link is also the guide for how to use it.
0 - nothing. If the indicator is showing 0 for a prolonged amount of time, it is likely the market is in "momentum mode" (referred to in the link above).
1 - indicates an uptrend based on SMA and EMA and also a place where a reversal to the upside is likely to occur. You should look only for long trades in the stock market when you see a spike upwards and S&P 500 is showing an obvious uptrend.
-1 - indicates a downtrend based on SMA and EMA and also a place where a reversal to the downside is likely to occur. You should look only for short trades in the stock market when you see a spike upwards and S&P 500 is showing an obvious uptrend.
Net XRP Margin PositionTotal XRP Longs minus XRP Shorts in order to give you the total outstanding XRP margin debt.
ie: If 500,000 XRP has been longed, and 400,000 XRP has been shorted, then 500,000 has been bought, and 400,000 sold, leaving us with 100,000 XRP (net) remaining to be sold to give us an overall neutral margin position.
That isn't to say that the net margin position must move towards zero, but it is a sensible reference point, and historical net values may provide useful insights into the current circumstances.
Net DASH Margin PositionTotal DASH Longs minus DASH Shorts in order to give you the total outstanding DASH margin debt.
ie: If 500,000 DASH has been longed, and 400,000 DASH has been shorted, then 500,000 has been bought, and 400,000 sold, leaving us with 100,000 DASH (net) remaining to be sold to give us an overall neutral margin position.
That isn't to say that the net margin position must move towards zero, but it is a sensible reference point, and historical net values may provide useful insights into the current circumstances.
(Anyone know what category this script should be in?)
Net NEO Margin PositionTotal NEO Longs minus NEO Shorts in order to give you the total outstanding NEO margin debt.
ie: If 500,000 NEO has been longed, and 400,000 NEO has been shorted, then 500,000 has been bought, and 400,000 sold, leaving us with 100,000 NEO (net) remaining to be sold to give us an overall neutral margin position.
That isn't to say that the net margin position must move towards zero, but it is a sensible reference point, and historical net values may provide useful insights into the current circumstances.
(Anyone know what category this script should be in?)
Everyday 0002 _ MAC 1st Trading Hour WalkoverThis is the second strategy for my Everyday project.
Like I wrote the last time - my goal is to create a new strategy everyday
for the rest of 2016 and post it here on TradingView.
I'm a complete beginner so this is my way of learning about coding strategies.
I'll give myself between 15 minutes and 2 hours to complete each creation.
This is basically a repetition of the first strategy I wrote - a Moving Average Crossover,
but I added a tiny thing.
I read that "Statistics have proven that the daily high or low is established within the first hour of trading on more than 70% of the time."
(source: )
My first Moving Average Crossover strategy, tested on VOLVB daily, got stoped out by the volatility
and because of this missed one nice bull run and a very nice bear run.
So I added this single line: if time("60", "1000-1600") regarding when to take exits:
if time("60", "1000-1600")
strategy.exit("Close Long", "Long", profit=2000, loss=500)
strategy.exit("Close Short", "Short", profit=2000, loss=500)
Sweden is UTC+2 so I guess UTC 1000 equals 12.00 in Stockholm. Not sure if this is correct, actually.
Anyway, I hope this means the strategy will only take exits based on price action which occur in the afternoon, when there is a higher probability of a lower volatility.
When I ran the new modified strategy on the same VOLVB daily it didn't get stoped out so easily.
On the other hand I'll have to test this on various stocks .
Reading and learning about how to properly test strategies is on my todo list - all tips on youtube videos or blogs
to read on this topic is very welcome!
Like I said the last time, I'm posting these strategies hoping to learn from the community - so any feedback, advice, or corrections is very much welcome and appreciated!
/pbergden
3D Institutional Battlefield [SurgeGuru]Professional Presentation: 3D Institutional Flow Terrain Indicator
Overview
The 3D Institutional Flow Terrain is an advanced trading visualization tool that transforms complex market structure into an intuitive 3D landscape. This indicator synthesizes multiple institutional data points—volume profiles, order blocks, liquidity zones, and voids—into a single comprehensive view, helping you identify high-probability trading opportunities.
Key Features
🎥 Camera & Projection Controls
Yaw & Pitch: Adjust viewing angles (0-90°) for optimal perspective
Scale Controls: Fine-tune X (width), Y (depth), and Z (height) dimensions
Pro Tip: Increase Z-scale to amplify terrain features for better visibility
🌐 Grid & Surface Configuration
Resolution: Adjust X (16-64) and Y (12-48) grid density
Visual Elements: Toggle surface fill, wireframe, and node markers
Optimization: Higher resolution provides more detail but requires more processing power
📊 Data Integration
Lookback Period: 50-500 bars of historical analysis
Multi-Source Data: Combine volume profile, order blocks, liquidity zones, and voids
Weighted Analysis: Each data source contributes proportionally to the terrain height
How to Use the Frontend
💛 Price Line Tracking (Your Primary Focus)
The yellow price line is your most important guide:
Monitor Price Movement: Track how the yellow line interacts with the 3D terrain
Identify Key Levels: Watch for these critical interactions:
Order Blocks (Green/Red Zones):
When yellow price line enters green zones = Bullish order block
When yellow price line enters red zones = Bearish order block
These represent institutional accumulation/distribution areas
Liquidity Voids (Yellow Zones):
When yellow price line enters yellow void areas = Potential acceleration zones
Voids indicate price gaps where minimal trading occurred
Price often moves rapidly through voids toward next liquidity pool
Terrain Reading:
High Terrain Peaks: High volume/interest areas (support/resistance)
Low Terrain Valleys: Low volume areas (potential breakout zones)
Color Coding:
Green terrain = Bullish volume dominance
Red terrain = Bearish volume dominance
Purple = Neutral/transition areas
📈 Volume Profile Integration
POC (Point of Control): Automatically marks highest volume level
Volume Bins: Adjust granularity (10-50 bins)
Height Weight: Control how much volume affects terrain elevation
🏛️ Order Block Detection
Detection Length: 5-50 bar lookback for block identification
Strength Weighting: Recent blocks have greater impact on terrain
Candle Body Option: Use full candles or body-only for block definition
💧 Liquidity Zone Tracking
Multiple Levels: Track 3-10 key liquidity zones
Buy/Sell Side: Different colors for bid/ask liquidity
Strength Decay: Older zones have diminishing terrain impact
🌊 Liquidity Void Identification
Threshold Multiplier: Adjust sensitivity (0.5-2.0)
Height Amplification: Voids create significant terrain depressions
Acceleration Zones: Price typically moves quickly through void areas
Practical Trading Application
Bullish Scenario:
Yellow price line approaches green order block terrain
Price finds support in elevated bullish volume areas
Terrain shows consistent elevation through key levels
Bearish Scenario:
Yellow price line struggles at red order block resistance
Price falls through liquidity voids toward lower terrain
Bearish volume peaks dominate the landscape
Breakout Setup:
Yellow price line consolidates in flat terrain
Minimal resistance (low terrain) in projected direction
Clear path toward distant liquidity zones
Pro Tips
Start Simple: Begin with default settings, then gradually customize
Focus on Yellow Line: Your primary indicator of current price position
Combine Timeframes: Use the same terrain across multiple timeframes for confluence
Volume Confirmation: Ensure terrain peaks align with actual volume spikes
Void Anticipation: When price enters voids, prepare for potential rapid movement
Order Blocks & Voids Architecture
Order Blocks Calculation
Trigger: Price breaks fractal swing points
Bullish OB: When close > swing high → find lowest low in lookback period
Bearish OB: When close < swing low → find highest high in lookback period
Strength: Based on price distance from block extremes
Storage: Global array maintains last 50 blocks with FIFO management
Liquidity Voids Detection
Trigger: Price gaps exceeding ATR threshold
Bull Void: Low - high > (ATR200 × multiplier)
Bear Void: Low - high > (ATR200 × multiplier)
Validation: Close confirms gap direction
Storage: Global array maintains last 30 voids
Key Design Features
Real-time Updates: Calculated every bar, not just on last bar
Global Persistence: Arrays maintain state across executions
FIFO Management: Automatic cleanup of oldest entries
Configurable Sensitivity: Adjustable lookback periods and thresholds
Scientific Testing Framework
Hypothesis Testing
Primary Hypothesis: 3D terrain visualization improves detection of institutional order flow vs traditional 2D charts
Testable Metrics:
Prediction Accuracy: Does terrain structure predict future support/resistance?
Reaction Time: Faster identification of key levels vs conventional methods
False Positive Reduction: Lower rate of failed breakouts/breakdowns
Control Variables
Market Regime: Trending vs ranging conditions
Asset Classes: Forex, equities, cryptocurrencies
Timeframes: M5 to H4 for intraday, D1 for swing
Volume Conditions: High vs low volume environments
Data Collection Protocol
Terrain Features to Quantify:
Slope gradient changes at price inflection points
Volume peak clustering density
Order block terrain elevation vs subsequent price action
Void depth correlation with momentum acceleration
Control Group: Traditional support/resistance + volume profile
Experimental Group: 3D Institutional Flow Terrain
Statistical Measures
Signal-to-Noise Ratio: Terrain features vs random price movements
Lead Time: Terrain formation ahead of price confirmation
Effect Size: Performance difference between groups (Cohen's d)
Statistical Power: Sample size requirements for significance
Validation Methodology
Blind Testing:
Remove price labels from terrain screenshots
Have traders identify key levels from terrain alone
Measure accuracy vs actual price action
Backtesting Framework:
Automated terrain feature extraction
Correlation with future price reversals/breakouts
Monte Carlo simulation for significance testing
Expected Outcomes
If hypothesis valid:
Significant improvement in level prediction accuracy (p < 0.05)
Reduced latency in institutional level identification
Higher risk-reward ratios on terrain-confirmed trades
Research Questions:
Does terrain elevation reliably indicate institutional interest zones?
Are liquidity voids statistically significant momentum predictors?
Does multi-timeframe terrain analysis improve signal quality?
How does terrain persistence correlate with level strength?
LuxAlgo BigBeluga hapharmonic
Dual FUT/Spot price with next monthly expiryThis Pine Script dashboard indicator is specifically designed for pair trading strategies in Indian futures markets (NSE). Let me break down how it facilitates pair trading:
Core Pair Trading Concept
The script monitors two correlated stocks simultaneously (Symbol A and Symbol B), comparing their:
Spot prices vs Futures prices
Current month futures vs Next month futures
Premium/discount relationships
Key Pair Trading Features
1. Dual Symbol Monitoring
symbolA = "NSE:TCS" (Default)
symbolB = "NSE:INFY" (Default)
Allows traders to watch two stocks in the same sector (like TCS and Infosys in IT) to identify relative value opportunities.
2. Basis Analysis for Each Stock
The indicator calculates the basis (difference between futures and spot):
Price Difference: FUT - SPOT
Premium/Discount %: ((FUT - SPOT) / SPOT) × 100
This helps identify when one stock's futures are relatively more expensive than the other's.
3. Multi-Expiry View
Near Month Futures (1!): Current active contract
Next Month Futures (2!): Upcoming contract
This enables calendar spread analysis within each stock and helps anticipate rollover effects.
4. Comparative Table
The detailed table displays side-by-side:
Symbol Spot Price Near Future Near Diff (%)Next Monthly Next Diff (%)Lot SizeTCS₹3,500₹3,520+20 (+0.57%)₹3,535+35 (+1.00%)125INFY₹1,450₹1,455+5 (+0.34%)₹1,460+10 (+0.69%)600
5. Lot Size Integration
Critical for position sizing in pair trades - the indicator fetches actual contract lot sizes, enabling proper hedge ratio calculations.
Pair Trading Strategies Enabled
Strategy 1: Basis Divergence Trading
When TCS futures trade at +0.8% premium and INFY at +0.2%
Trade: Short TCS futures, Long INFY futures (betting on convergence)
The indicator highlights these differences with color-coded cells
Strategy 2: Calendar Spread Arbitrage
Compare near month vs next month premium for each stock
If TCS shows wider calendar spread than INFY, potential arbitrage exists
Trade the relative calendar spread difference
Strategy 3: Premium/Discount Reversal
Monitor which stock moves from premium to discount (or vice versa)
Color indicators (green/red) make this immediately visible
Enter pairs when relative premium relationships normalize
Strategy 4: Lot-Adjusted Pair Trading
Use lot size data to create market-neutral positions
Example: If TCS lot = 125 and INFY lot = 600
Ratio = 600/125 = 4.8:1 for rupee-neutral positioning
Visual Trading Cues
Green cells: Futures at premium (contango)
Red cells: Futures at discount (backwardation)
Purple values: Next month contracts
Yellow highlights: Spot prices
Practical Pair Trading Example
Scenario: Both stocks in same sector, historically correlated
Normal state: Both show +0.5% premium
Divergence: TCS jumps to +1.2%, INFY stays at +0.5%
Trade Signal:
Short TCS futures (expensive)
Long INFY futures (relatively cheap)
Exit: When premiums converge back to similar levels
Hedge ratio: Use lot sizes to maintain proper exposure balance
Advantages for Pair Traders
✓ Single-screen monitoring of both legs
✓ Real-time basis calculations eliminate manual math
✓ Multi-timeframe view (near + next month)
✓ Automatic lot size fetching for position sizing
✓ Visual alerts through color coding
✓ Percentage normalization for easy comparison
This indicator essentially transforms raw price data into actionable pair trading intelligence by highlighting relative value discrepancies between correlated assets in the futures market.
Enjoy!!
[Parth🇮🇳] Wall Street US30 Pro - Prop Firm Edition....Yo perfect! Here's the COMPLETE strategy in simple words:
***
## WALL STREET US30 TRADING STRATEGY - SIMPLE VERSION
### WHAT YOU'RE TRADING:
US30 (Dow Jones Index) on 1-hour chart using a professional indicator with smart money concepts.
---
### WHEN TO TRADE:
**6:30 PM - 10:00 PM IST every day** (London-NY overlap = highest volume)
***
### THE INDICATOR SHOWS YOU:
A table in top-right corner with 5 things:
1. **Signal Strength** - How confident (need 70%+)
2. **RSI** - Momentum (need OK status)
3. **MACD** - Trend direction (need UP for buys, DOWN for sells)
4. **Volume** - Real or fake move (need HIGH)
5. **Trend** - Overall direction (need UP for buys, DOWN for sells)
Plus **green arrows** (buy signals) and **red arrows** (sell signals).
---
### THE RULES:
**When GREEN ▲ arrow appears:**
- Wait for 1-hour candle to close (don't rush in)
- Check the table:
- Signal Strength 70%+ ? ✅
- Volume HIGH? ✅
- RSI okay? ✅
- MACD up? ✅
- Trend up? ✅
- If all yes = ENTER LONG (BUY)
- Set stop loss 40-50 pips below entry
- Set take profit 2x the risk (2:1 ratio)
**When RED ▼ arrow appears:**
- Wait for 1-hour candle to close (don't rush in)
- Check the table:
- Signal Strength 70%+ ? ✅
- Volume HIGH? ✅
- RSI okay? ✅
- MACD down? ✅
- Trend down? ✅
- If all yes = ENTER SHORT (SELL)
- Set stop loss 40-50 pips above entry
- Set take profit 2x the risk (2:1 ratio)
***
### REAL EXAMPLE:
**7:45 PM IST - Green arrow appears**
Table shows:
- Signal Strength: 88% 🔥
- RSI: 55 OK
- MACD: ▲ UP
- Volume: 1.8x HIGH
- Trend: 🟢 UP
All checks pass ✅
**8:00 PM - Candle closes, signal confirmed**
I check table again - still strong ✓
**I enter on prop firm:**
- BUY 0.1 lot
- Entry: 38,450
- Stop Loss: 38,400 (50 pips below)
- Take Profit: 38,550 (100 pips above)
- Risk: $50
- Reward: $100
- Ratio: 1:2 ✅
**9:30 PM - Price hits 38,550**
- Take profit triggered ✓
- +$100 profit
- Trade closes
**Done for that signal!**
***
### YOUR DAILY ROUTINE:
**6:30 PM IST** - Open TradingView + prop firm
**6:30 PM - 10 PM IST** - Watch for signals
**When signal fires** - Check table, enter if strong
**10:00 PM IST** - Close all trades, done
**Expected daily** - 1-3 signals, +$100-300 profit
***
### EXPECTED RESULTS:
**Win Rate:** 65-75% (most trades win)
**Signals per day:** 1-3
**Profit per trade:** $50-200
**Daily profit:** $100-300
**Monthly profit:** $2,000-6,000
**Monthly return:** 20-30% (on $10K account)
---
### WHAT MAKES THIS WORK:
✅ Uses 7+ professional filters (not just 1 indicator)
✅ Checks volume (real moves only)
✅ Filters overbought/oversold (avoids tops/bottoms)
✅ Aligns with 4-hour trend (higher timeframe)
✅ Only trades peak volume hours (6:30-10 PM IST)
✅ Uses support/resistance (institutional levels)
✅ Risk/reward 2:1 minimum (math works out)
***
### KEY DISCIPLINE RULES:
**DO:**
- ✅ Only trade 6:30-10 PM IST
- ✅ Wait for candle to close
- ✅ Check ALL 5 table items
- ✅ Only take 70%+ strength signals
- ✅ Always use stop loss
- ✅ Always 2:1 reward ratio
- ✅ Risk 1-2% per trade
- ✅ Close all trades by 10 PM
- ✅ Journal every trade
- ✅ Follow the plan
**DON'T:**
- ❌ Trade outside 6:30-10 PM IST
- ❌ Enter before candle closes
- ❌ Take weak signals (below 70%)
- ❌ Trade without stop loss
- ❌ Move stop loss (lock in loss)
- ❌ Hold overnight
- ❌ Revenge trade after losses
- ❌ Overleverge (more than 0.1 lot start)
- ❌ Skip journaling
- ❌ Deviate from plan
***
### THE 5-STEP ENTRY PROCESS:
**Step 1:** Arrow appears on chart ➜
**Step 2:** Wait for candle to close ➜
**Step 3:** Check table (all 5 items) ➜
**Step 4:** If all good = go to prop firm ➜
**Step 5:** Enter trade with SL & TP
Takes 30 seconds once you practice!
***
### MONEY MATH (Starting with $5,000):
**If you take 20 signals per month:**
- Win 15, Lose 5 (75% rate)
- Wins: 15 × $100 = $1,500
- Losses: 5 × $50 = -$250
- Net: +$1,250/month = 25% return
**Month 2:** $5,000 + $1,250 = $6,250 account
**Month 3:** $6,250 + $1,562 = $7,812 account
**Month 4:** $7,812 + $1,953 = $9,765 account
**Month 5:** $9,765 + $2,441 = $12,206 account
**Month 6:** $12,206 + $3,051 = $15,257 account
**In 6 months = $10,000 account → $15,000+ (50% growth)**
That's COMPOUNDING, baby! 💰
***
### START TODAY:
1. Copy indicator code
2. Add to 1-hour US30 chart on TradingView
3. Wait until 6:30 PM IST tonight (or tomorrow if late)
4. Watch for signals
5. Follow the rules
6. Trade your prop firm
**That's it! Simple as that!**
***
### FINAL WORDS:
This isn't get-rich-quick. This is build-wealth-steadily.
You follow the plan, take quality signals only, manage risk properly, you WILL make money. Not every trade wins, but the winners are bigger than losers (2:1 ratio).
Most traders fail because they:
- Trade too much (overtrading)
- Don't follow their plan (emotions)
- Risk too much per trade (blown account)
- Chase signals (FOMO)
- Don't journal (repeat mistakes)
You avoid those 5 things = you'll be ahead of 95% of traders.
**Start trading 6:30 PM IST. Let's go! 🚀**
TLP Swing Chart V2// This source code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// Sửa đổi trên code gốc của © meomeo105
// © meomeo105
//@version=5
indicator('TLP Swing Chart V2', shorttitle='TLP Swing V2', overlay=true, max_lines_count=500)
//-----Input-------
customTF = input.timeframe(defval="",title = "Show Other TimeFrame")
showTLP = input.bool(false, 'Show TLP', inline = "TLP1")
colorTLP = input.color(color.aqua, '', inline = "TLP1")
showSTLP = input.bool(true, 'Show TLP Swing', inline = "Swing1")
colorSTLP = input.color(color.aqua, '', inline = "Swing1")
showLabel = input.bool(true, 'Show Label TimeFrame')
lineSTLP = input.string(title="",options= ,defval="(─)", inline = "Swing1")
lineStyleSTLP = lineSTLP == "(┈)" ? line.style_dotted : lineSTLP == "(╌)" ? line.style_dashed : line.style_solid
//IOSB
IOSB = "TLPInOutSideBarSetting"
ISB = input(true,group =IOSB, title="showISB")
colorISB = input.color(color.rgb(250, 171, 0), inline = "ISB")
OSB = input(true,group =IOSB, title="showOSB")
colorOSB = input.color(color.rgb(56, 219, 255), inline = "OSB")
ZoneColor = input(defval = color.new(color.orange, 90),group =IOSB, title = "Background Color")
BorderColor = input(defval = color.new(color.orange, 100),group =IOSB, title = "Border Color")
/////////////////
var aCZ = array.new_float(0)
float highest = high
float lowest = low
if (array.size(aCZ) > 0)
highest := array.get(aCZ, 0)
lowest := array.get(aCZ, 1)
insideBarCondtion = low >= lowest and low <= highest and high >= lowest and high <= highest
if ( insideBarCondtion == true )
array.push(aCZ, high )
array.push(aCZ, low )
if( array.size(aCZ) >= 2 and insideBarCondtion == false )
float maxCZ = array.max(aCZ)
float minCZ = array.min(aCZ)
box.new(bar_index - (array.size(aCZ) / 2) - 1, maxCZ, bar_index - 1, minCZ, bgcolor = ZoneColor, border_color = BorderColor)
array.clear(aCZ)
//////////////////////////Global//////////////////////////
var arrayLineTemp = array.new_line()
// Funtion
f_resInMinutes() =>
_resInMinutes = timeframe.multiplier * (
timeframe.isseconds ? 1. / 60. :
timeframe.isminutes ? 1. :
timeframe.isdaily ? 1440. :
timeframe.isweekly ? 10080. :
timeframe.ismonthly ? 43800. : na)
// Converts a resolution expressed in minutes into a string usable by "security()"
f_resFromMinutes(_minutes) =>
_minutes < 1 ? str.tostring(math.round(_minutes*60)) + "S" :
_minutes < 60 ? str.tostring(math.round(_minutes)) + "m" :
_minutes < 1440 ? str.tostring(math.round(_minutes/60)) + "H" :
_minutes < 10080 ? str.tostring(math.round(math.min(_minutes / 1440, 7))) + "D" :
_minutes < 43800 ? str.tostring(math.round(math.min(_minutes / 10080, 4))) + "W" :
str.tostring(math.round(math.min(_minutes / 43800, 12))) + "M"
f_tfRes(_res,_exp) =>
request.security(syminfo.tickerid,_res,_exp,lookahead=barmerge.lookahead_on)
var label labelError = label.new(bar_index, high, text = "", color = #00000000, textcolor = color.white,textalign = text.align_left)
sendError(_mmessage) =>
label.set_xy(labelError, bar_index + 3, close )
label.set_text(labelError, _mmessage)
var arrayLineChoCh = array.new_line()
var label labelTF = label.new(time, close, text = "",color = color.new(showSTLP ? colorSTLP : colorTLP,95), textcolor = showSTLP ? colorSTLP : colorTLP,xloc = xloc.bar_time, textalign = text.align_left)
//////////////////////////TLP//////////////////////////
var arrayXTLP = array.new_int(5,time)
var arrayYTLP = array.new_float(5,close)
var arrayLineTLP = array.new_line()
int drawLineTLP = 0
_high = high
_low = low
_close = close
_open = open
if(customTF != timeframe.period)
_high := f_tfRes(customTF,high)
_low := f_tfRes(customTF,low)
_close := f_tfRes(customTF,close)
_open := f_tfRes(customTF,open)
highPrev = _high
lowPrev = _low
// drawLineTLP => 2:Tiếp tục 1:Đảo chiều; // Outsidebar 2:Tiếp tục 3:Tiếp tục và Đảo chiều 4 : Đảo chiều 2 lần
drawLineTLP := 0
if(_high > highPrev and _low > lowPrev )
if(array.get(arrayYTLP,0) > array.get(arrayYTLP,1))
if(_high <= high)
array.set(arrayXTLP, 0, time)
array.set(arrayYTLP, 0, _high )
drawLineTLP := 2
else
array.unshift(arrayXTLP,time)
array.unshift(arrayYTLP,_high )
drawLineTLP := 1
else if(_high < highPrev and _low < lowPrev )
if(array.get(arrayYTLP,0) > array.get(arrayYTLP,1))
array.unshift(arrayXTLP,time)
array.unshift(arrayYTLP,_low )
drawLineTLP := 1
else
if(_low >= low)
array.set(arrayXTLP, 0, time)
array.set(arrayYTLP, 0, _low )
drawLineTLP := 2
else if(_high >= highPrev and _low < lowPrev or _high > highPrev and _low <= lowPrev )
if(array.get(arrayYTLP,0) > array.get(arrayYTLP,1))
if(_high >= array.get(arrayYTLP,0) and array.get(arrayYTLP,1) < _low )
if(_high <= high)
array.set(arrayXTLP, 0, time)
array.set(arrayYTLP, 0, _high )
drawLineTLP := 2
else if(_high >= array.get(arrayYTLP,0) and array.get(arrayYTLP,1) > _low )
if(_close < _open)
if(_high <= high)
array.set(arrayXTLP, 0, time)
array.set(arrayYTLP, 0, _high )
array.unshift(arrayXTLP,time)
array.unshift(arrayYTLP,_low )
drawLineTLP := 3
else
array.unshift(arrayXTLP,time)
array.unshift(arrayYTLP,_low )
array.unshift(arrayXTLP,time)
array.unshift(arrayYTLP,_high )
drawLineTLP := 4
else if(array.get(arrayYTLP,0) < array.get(arrayYTLP,1))
if(_low <= array.get(arrayYTLP,0) and _high < array.get(arrayYTLP,1))
if(_low >= low)
array.set(arrayXTLP, 0, time)
array.set(arrayYTLP, 0, _low )
drawLineTLP := 2
else if(_low <= array.get(arrayYTLP,0) and _high > array.get(arrayYTLP,1))
if(_close > _open)
if(_low >= low)
array.set(arrayXTLP, 0, time)
array.set(arrayYTLP, 0, _low )
array.unshift(arrayXTLP,time)
array.unshift(arrayYTLP,_high )
drawLineTLP := 3
else
array.unshift(arrayXTLP,time)
array.unshift(arrayYTLP,_high )
array.unshift(arrayXTLP,time)
array.unshift(arrayYTLP,_low )
drawLineTLP := 4
else if((_high <= highPrev and _low >= lowPrev ))
highPrev := highPrev
lowPrev := lowPrev
if(f_resInMinutes() < f_tfRes(customTF,f_resInMinutes()) and drawLineTLP == 0)
if(array.get(arrayYTLP,0) > array.get(arrayYTLP,1))
if(array.get(arrayYTLP,0) <= high)
array.set(arrayXTLP, 0, time)
drawLineTLP := 2
else
if(array.get(arrayYTLP,0) >= low)
array.set(arrayXTLP, 0, time)
drawLineTLP := 2
if((showSTLP or showTLP) and f_resInMinutes() <= f_tfRes(customTF,f_resInMinutes()))
if(drawLineTLP == 2)
if(array.size(arrayLineTLP) >0)
line.set_xy2(array.get(arrayLineTLP,0),array.get(arrayXTLP,0),array.get(arrayYTLP,0))
else
array.unshift(arrayLineTLP,line.new(array.get(arrayXTLP,1),array.get(arrayYTLP,1),array.get(arrayXTLP,0),array.get(arrayYTLP,0), color = colorTLP,xloc = xloc.bar_time, style = lineStyleSTLP))
else if(drawLineTLP == 1)
array.unshift(arrayLineTLP,line.new(array.get(arrayXTLP,1),array.get(arrayYTLP,1),array.get(arrayXTLP,0),array.get(arrayYTLP,0), color = colorTLP,xloc = xloc.bar_time, style = lineStyleSTLP))
else if(drawLineTLP == 3)
if(array.size(arrayLineTLP) >0)
line.set_xy2(array.get(arrayLineTLP,0),array.get(arrayXTLP,1),array.get(arrayYTLP,1))
else
array.unshift(arrayLineTLP,line.new(array.get(arrayXTLP,2),array.get(arrayYTLP,2),array.get(arrayXTLP,1),array.get(arrayYTLP,1), color = colorTLP,xloc = xloc.bar_time, style = lineStyleSTLP))
array.unshift(arrayLineTLP,line.new(array.get(arrayXTLP,1),array.get(arrayYTLP,1),array.get(arrayXTLP,0),array.get(arrayYTLP,0), color = colorTLP,xloc = xloc.bar_time, style = lineStyleSTLP))
else if(drawLineTLP == 4)
array.unshift(arrayLineTLP,line.new(array.get(arrayXTLP,2),array.get(arrayYTLP,2),array.get(arrayXTLP,1),array.get(arrayYTLP,1), color = colorTLP,xloc = xloc.bar_time, style = lineStyleSTLP))
array.unshift(arrayLineTLP,line.new(array.get(arrayXTLP,1),array.get(arrayYTLP,1),array.get(arrayXTLP,0),array.get(arrayYTLP,0), color = colorTLP,xloc = xloc.bar_time, style = lineStyleSTLP))
//////////////////////////Swing TLP//////////////////////////
var arrayXSTLP = array.new_int(5,time)
var arrayYSTLP = array.new_float(5,close)
var arrayLineSTLP = array.new_line()
int drawLineSTLP = 0
int drawLineSTLP1 = 0
if(showSTLP)
if(math.max(array.get(arrayYSTLP,0),array.get(arrayYSTLP,1)) < math.min(array.get(arrayYTLP,0),array.get(arrayYTLP,1)) or math.min(array.get(arrayYSTLP,0),array.get(arrayYSTLP,1)) > math.max(array.get(arrayYTLP,0),array.get(arrayYTLP,1)))
//Khởi tạo bắt đầu
drawLineSTLP1 := 5
array.set(arrayXSTLP, 0, array.get(arrayXTLP,1))
array.set(arrayYSTLP, 0, array.get(arrayYTLP,1))
array.unshift(arrayXSTLP,array.get(arrayXTLP,0))
array.unshift(arrayYSTLP,array.get(arrayYTLP,0))
// drawLineSTLP kiểm tra điểm 1 => 13:Tiếp tục có sóng hồi // 12|19(reDraw):Tiếp tục không có sóng hồi // 14:Đảo chiều
if(array.get(arrayXTLP,0) == array.get(arrayXTLP,1))
if(array.get(arrayXSTLP,0) >= array.get(arrayXTLP,2) and array.get(arrayYSTLP,0) != array.get(arrayYTLP,1) and ((array.get(arrayYTLP,1) > array.get(arrayYTLP,2) and array.get(arrayYSTLP,0) > array.get(arrayYSTLP,1)) or (array.get(arrayYTLP,1) < array.get(arrayYTLP,2) and array.get(arrayYSTLP,0) < array.get(arrayYSTLP,1))))
drawLineSTLP1 := 12
array.set(arrayXSTLP, 0, array.get(arrayXTLP,1))
array.set(arrayYSTLP, 0, array.get(arrayYTLP,1))
else if(array.get(arrayXSTLP,0) <= array.get(arrayXTLP,2))
if((array.get(arrayYSTLP,0) > array.get(arrayYSTLP,1) and array.get(arrayYTLP,1) < array.get(arrayYSTLP,1)) or (array.get(arrayYSTLP,0) < array.get(arrayYSTLP,1) and array.get(arrayYTLP,1) > array.get(arrayYSTLP,1)))
drawLineSTLP1 := 14
array.unshift(arrayXSTLP,array.get(arrayXTLP,1))
array.unshift(arrayYSTLP,array.get(arrayYTLP,1))
else if((array.get(arrayYSTLP,0) > array.get(arrayYSTLP,1) and array.get(arrayYTLP,1) > array.get(arrayYSTLP,0)) or (array.get(arrayYSTLP,0) < array.get(arrayYSTLP,1) and array.get(arrayYTLP,1) < array.get(arrayYSTLP,0)))
drawLineSTLP1 := 13
_max = math.min(array.get(arrayYSTLP,0),array.get(arrayYSTLP,1))
_min = math.max(array.get(arrayYSTLP,0),array.get(arrayYSTLP,1))
_max_idx = 0
_min_idx = 0
for i = 2 to array.size(arrayXTLP)
if(array.get(arrayXSTLP,0) >= array.get(arrayXTLP,i))
break
if(_min > array.get(arrayYTLP,i))
_min := array.get(arrayYTLP,i)
_min_idx := array.get(arrayXTLP,i)
if(_max < array.get(arrayYTLP,i))
_max := array.get(arrayYTLP,i)
_max_idx := array.get(arrayXTLP,i)
if(array.get(arrayYSTLP,0) > array.get(arrayYSTLP,1))
array.unshift(arrayXSTLP,_min_idx)
array.unshift(arrayYSTLP,_min)
else if(array.get(arrayYSTLP,0) < array.get(arrayYSTLP,1))
array.unshift(arrayXSTLP,_max_idx)
array.unshift(arrayYSTLP,_max)
array.unshift(arrayXSTLP,array.get(arrayXTLP,1))
array.unshift(arrayYSTLP,array.get(arrayYTLP,1))
if(f_resInMinutes() < f_tfRes(customTF,f_resInMinutes()))
if(array.get(arrayYSTLP,0) == array.get(arrayYTLP,1) and array.get(arrayXSTLP,0) != array.get(arrayXTLP,1))
array.set(arrayXSTLP, 0, array.get(arrayXTLP,1))
drawLineSTLP1 := 19
if(f_resInMinutes() <= f_tfRes(customTF,f_resInMinutes()))
if(drawLineSTLP1 == 12 or drawLineSTLP1 == 19)
if(array.size(arrayLineSTLP) >0)
line.set_xy2(array.get(arrayLineSTLP,0),array.get(arrayXSTLP,0),array.get(arrayYSTLP,0))
else
array.unshift(arrayLineSTLP,line.new(array.get(arrayXSTLP,1),array.get(arrayYSTLP,1),array.get(arrayXSTLP,0),array.get(arrayYSTLP,0), color = colorSTLP,xloc = xloc.bar_time))
else if(drawLineSTLP1 == 14)
array.unshift(arrayLineSTLP,line.new(array.get(arrayXSTLP,1),array.get(arrayYSTLP,1),array.get(arrayXSTLP,0),array.get(arrayYSTLP,0), color = colorSTLP,xloc = xloc.bar_time))
else if(drawLineSTLP1 == 13)
array.unshift(arrayLineSTLP,line.new(array.get(arrayXSTLP,2),array.get(arrayYSTLP,2),array.get(arrayXSTLP,1),array.get(arrayYSTLP,1), color = colorSTLP,xloc = xloc.bar_time))
array.unshift(arrayLineSTLP,line.new(array.get(arrayXSTLP,1),array.get(arrayYSTLP,1),array.get(arrayXSTLP,0),array.get(arrayYSTLP,0), color = colorSTLP,xloc = xloc.bar_time))
else if(drawLineSTLP1 == 15)
if(array.size(arrayLineSTLP) >0)
line.set_xy2(array.get(arrayLineSTLP,0),array.get(arrayXSTLP,1),array.get(arrayYSTLP,1))
else
array.unshift(arrayLineSTLP,line.new(array.get(arrayXSTLP,2),array.get(arrayYSTLP,2),array.get(arrayXSTLP,1),array.get(arrayYSTLP,1), color = colorSTLP,xloc = xloc.bar_time))
array.unshift(arrayLineSTLP,line.new(array.get(arrayXSTLP,1),array.get(arrayYSTLP,1),array.get(arrayXSTLP,0),array.get(arrayYSTLP,0), color = colorSTLP,xloc = xloc.bar_time))
// drawLineSTLP kiểm tra điểm 0 => 3:Tiếp tục có sóng hồi // 2|9(reDraw):Tiếp tục không có sóng hồi // 4:Đảo chiều
if(array.get(arrayXSTLP,0) >= array.get(arrayXTLP,1) and array.get(arrayYSTLP,0) != array.get(arrayYTLP,0) and ((array.get(arrayYTLP,0) > array.get(arrayYTLP,1) and array.get(arrayYSTLP,0) > array.get(arrayYSTLP,1)) or (array.get(arrayYTLP,0) < array.get(arrayYTLP,1) and array.get(arrayYSTLP,0) < array.get(arrayYSTLP,1))))
drawLineSTLP := 2
array.set(arrayXSTLP, 0, array.get(arrayXTLP,0))
array.set(arrayYSTLP, 0, array.get(arrayYTLP,0))
else if(array.get(arrayXSTLP,0) <= array.get(arrayXTLP,1))
if((array.get(arrayYSTLP,0) > array.get(arrayYSTLP,1) and array.get(arrayYTLP,0) < array.get(arrayYSTLP,1)) or (array.get(arrayYSTLP,0) < array.get(arrayYSTLP,1) and array.get(arrayYTLP,0) > array.get(arrayYSTLP,1)))
drawLineSTLP := 4
array.unshift(arrayXSTLP,array.get(arrayXTLP,0))
array.unshift(arrayYSTLP,array.get(arrayYTLP,0))
else if((array.get(arrayYSTLP,0) > array.get(arrayYSTLP,1) and array.get(arrayYTLP,0) > array.get(arrayYSTLP,0)) or (array.get(arrayYSTLP,0) < array.get(arrayYSTLP,1) and array.get(arrayYTLP,0) < array.get(arrayYSTLP,0)))
drawLineSTLP := 3
_max = math.min(array.get(arrayYSTLP,0),array.get(arrayYSTLP,1))
_min = math.max(array.get(arrayYSTLP,0),array.get(arrayYSTLP,1))
_max_idx = 0
_min_idx = 0
for i = 1 to array.size(arrayXTLP)
if(array.get(arrayXSTLP,0) >= array.get(arrayXTLP,i))
break
if(_min > array.get(arrayYTLP,i))
_min := array.get(arrayYTLP,i)
_min_idx := array.get(arrayXTLP,i)
if(_max < array.get(arrayYTLP,i))
_max := array.get(arrayYTLP,i)
_max_idx := array.get(arrayXTLP,i)
if(array.get(arrayYSTLP,0) > array.get(arrayYSTLP,1))
array.unshift(arrayXSTLP,_min_idx)
array.unshift(arrayYSTLP,_min)
else if(array.get(arrayYSTLP,0) < array.get(arrayYSTLP,1))
array.unshift(arrayXSTLP,_max_idx)
array.unshift(arrayYSTLP,_max)
array.unshift(arrayXSTLP,array.get(arrayXTLP,0))
array.unshift(arrayYSTLP,array.get(arrayYTLP,0))
if(f_resInMinutes() < f_tfRes(customTF,f_resInMinutes()))
if(array.get(arrayYSTLP,0) == array.get(arrayYTLP,0) and array.get(arrayXSTLP,0) != array.get(arrayXTLP,0))
array.set(arrayXSTLP, 0, array.get(arrayXTLP,0))
drawLineSTLP := 9
if(f_resInMinutes() <= f_tfRes(customTF,f_resInMinutes()))
if(drawLineSTLP == 2 or drawLineSTLP == 9)
if(array.size(arrayLineSTLP) >0)
line.set_xy2(array.get(arrayLineSTLP,0),array.get(arrayXSTLP,0),array.get(arrayYSTLP,0))
else
array.unshift(arrayLineSTLP,line.new(array.get(arrayXSTLP,1),array.get(arrayYSTLP,1),array.get(arrayXSTLP,0),array.get(arrayYSTLP,0), color = colorSTLP,xloc = xloc.bar_time))
else if(drawLineSTLP == 4)
array.unshift(arrayLineSTLP,line.new(array.get(arrayXSTLP,1),array.get(arrayYSTLP,1),array.get(arrayXSTLP,0),array.get(arrayYSTLP,0), color = colorSTLP,xloc = xloc.bar_time))
else if(drawLineSTLP == 3)
array.unshift(arrayLineSTLP,line.new(array.get(arrayXSTLP,2),array.get(arrayYSTLP,2),array.get(arrayXSTLP,1),array.get(arrayYSTLP,1), color = colorSTLP,xloc = xloc.bar_time))
array.unshift(arrayLineSTLP,line.new(array.get(arrayXSTLP,1),array.get(arrayYSTLP,1),array.get(arrayXSTLP,0),array.get(arrayYSTLP,0), color = colorSTLP,xloc = xloc.bar_time))
else if(drawLineSTLP == 5)
if(array.size(arrayLineSTLP) >0)
line.set_xy2(array.get(arrayLineSTLP,0),array.get(arrayXSTLP,1),array.get(arrayYSTLP,1))
else
array.unshift(arrayLineSTLP,line.new(array.get(arrayXSTLP,2),array.get(arrayYSTLP,2),array.get(arrayXSTLP,1),array.get(arrayYSTLP,1), color = colorSTLP,xloc = xloc.bar_time))
array.unshift(arrayLineSTLP,line.new(array.get(arrayXSTLP,1),array.get(arrayYSTLP,1),array.get(arrayXSTLP,0),array.get(arrayYSTLP,0), color = colorSTLP,xloc = xloc.bar_time))
///////////////////////Other//////////////////////////////////
if(f_resInMinutes() <= f_tfRes(customTF,f_resInMinutes()))
if(showSTLP)
if(showLabel and (barstate.islast or barstate.islastconfirmedhistory))
texLabel = f_resInMinutes() == f_tfRes(customTF,f_resInMinutes()) ? f_resFromMinutes(f_resInMinutes()) : f_resFromMinutes(f_tfRes(customTF,f_resInMinutes()))
label.set_xy(labelTF,array.get(arrayXSTLP,0),array.get(arrayYSTLP,0))
label.set_text(labelTF,texLabel)
label.set_style(labelTF,array.get(arrayYSTLP,0) < array.get(arrayYSTLP,1) ? label.style_label_upper_right : label.style_label_lower_right)
if(not showTLP)
arrayLineTemp := array.copy(arrayLineTLP)
for itemArray in arrayLineTemp
if(line.get_x1(itemArray) < array.get(arrayXSTLP,0))
line.delete(itemArray)
array.remove(arrayLineTLP,array.indexof(arrayLineTLP, itemArray))
//Inside Bars - Outside Bars
insideBar() => ISB and high <= high and low >= low ? 1 : 0
outsideBar() => OSB and (high > high and low < low ) ? 1 : 0
//Inside and Outside Bars
barcolor(insideBar() ? color.new(colorISB,0) : na )
barcolor(outsideBar() ? color.new(colorOSB,0) : na )
Multi-TF Gates (Labels + Alerts)//@version=6
indicator("PO9 – Multi-TF Gates (Labels + Alerts)", overlay=true, max_lines_count=500)
iYear=input.int(2024,"Anchor Year",minval=1970)
iMonth=input.int(11,"Anchor Month",minval=1,maxval=12)
iDay=input.int(6,"Anchor Day",minval=1,maxval=31)
useSymbolTZ=input.bool(true,"Use symbol's exchange timezone (syminfo.timezone)")
tzChoice=input.string("Etc/UTC","Custom timezone (if not using symbol TZ)",options= )
anchorType=input.string("FX NY 17:00","Anchor at",options= )
showEvery=input.int(9,"Mark every Nth candle",minval=1)
showD=input.bool(true,"Show Daily")
show3H=input.bool(true,"Show 3H")
show1H=input.bool(true,"Show 1H")
show15=input.bool(true,"Show 15M")
show5=input.bool(false,"Show 5M (optional)")
colD=input.color(color.new(color.red,0),"Daily color")
col3H=input.color(color.new(color.orange,0),"3H color")
col1H=input.color(color.new(color.yellow,0),"1H color")
col15=input.color(color.new(color.teal,0),"15M color")
col5=input.color(color.new(color.gray,0),"5M color")
styStr=input.string("dashed","Line style",options= )
lnW=input.int(2,"Line width",minval=1,maxval=4)
extendTop=input.float(1.5,"ATR multiples above high",minval=0.1)
extendBottom=input.float(1.5,"ATR multiples below low",minval=0.1)
showLabels=input.bool(true,"Show labels")
enableAlerts=input.bool(true,"Enable alerts")
f_style(s)=>s=="solid"?line.style_solid:s=="dashed"?line.style_dashed:line.style_dotted
var lines=array.new_line()
f_prune(maxKeep)=>
if array.size(lines)>maxKeep
old=array.shift(lines)
line.delete(old)
tzEff=useSymbolTZ?syminfo.timezone:tzChoice
anchorTs=anchorType=="FX NY 17:00"?timestamp("America/New_York",iYear,iMonth,iDay,17,0):timestamp(tzEff,iYear,iMonth,iDay,0,0)
atr=ta.atr(14)
f_vline(_color,_tf,_idx)=>
y1=low-atr*extendBottom
y2=high+atr*extendTop
lid=line.new(x1=bar_index,y1=y1,x2=bar_index,y2=y2,xloc=xloc.bar_index,extend=extend.none,color=_color,style=f_style(styStr),width=lnW)
if showLabels
label.new(x=bar_index,y=high+(atr*2),text=_tf+" #"+str.tostring(_idx),xloc=xloc.bar_index,style=label.style_label_down,color=_color,textcolor=color.black)
array.push(lines,lid)
is_tf_open(tf)=> time==request.security(syminfo.tickerid,tf,time,barmerge.gaps_off,barmerge.lookahead_off)
f_tf(_tf,_show,_color,_name)=>
var bool started=false
var int idx=0
isOpen=_show and is_tf_open(_tf)
firstBar=isOpen and (time>=anchorTs) and (nz(time ,time)
Best Time Slots — Auto-Adapt (v6, TF-safe) + Range AlertsTime & binning
Auto-adapt to timeframe
Makes all time windows scale to your chart’s bar size (so it “just works” on 1m, 15m, 4H, Daily).
• On = recommended. • Off = fixed default lengths.
Minimum Bin (minutes)
The size of each daily time slot we track (e.g., 5-min bins). The script uses the larger of this and your bar size.
• Higher = fewer, broader slots; smoother stats. • Lower = more, narrower slots; needs more history.
• Try: 5–15 on intraday, 60–240 on higher TFs.
Lookback windows (used when Auto-adapt = ON)
Target ER Window (minutes)
How far back we look to judge Efficiency Ratio (how “straight” the move was).
• Higher = stricter/smoother; fewer bars qualify as “movement”. • Lower = more sensitive.
• Try: 60–120 min intraday; 240–600 min for higher TFs.
Target ATR Window (minutes)
How far back we compute ATR (typical range).
• Higher = steadier ATR baseline. • Lower = reacts faster.
• Try: 30–120 min intraday; 240–600 min higher TFs.
Target Normalization Window (minutes)
How far back for the average ATR (the baseline we compare to).
• Higher = stricter “above average range” check. • Lower = easier to pass.
• Try: ~500–1500 min.
What counts as “movement”
ER Threshold (0–1)
Minimum efficiency a bar must have to count as movement.
• Higher = only very “clean, one-direction” bars count. • Lower = more bars count.
• Try: 0.55–0.65. (0.60 = balanced.)
ATR Floor vs SMA(ATR)
Requires range to be at least this many × average ATR.
• Higher (e.g., 1.2) = demand bigger-than-usual ranges. • Lower (e.g., 0.9) = allow smaller ranges.
• Try: 1.0 (above average).
How history is averaged
Recent Days Weight (per-day decay)
Gives more weight to recent days. Example: 0.97 ≈ each day old counts ~3% less.
• Higher (0.99) = slower fade (older days matter more). • Lower (0.95) = faster fade.
• Try: 0.97–0.99.
Laplace Prior Seen / Laplace Prior Hit
“Starter counts” so early stats aren’t crazy when you have little data.
• Higher priors = probabilities start closer to average; need more real data to move.
• Try: Seen=3, Hit=1 (defaults).
Min Samples (effective)
Don’t highlight a slot unless it has at least this many effective samples (after decay + priors).
• Higher = safer, but fewer highlights early.
• Try: 3–10.
When to highlight on the chart
Min Probability to Highlight
We shade/mark bars only if their slot’s historical movement probability is ≥ this.
• Higher = pickier, fewer highlights. • Lower = more highlights.
• Try: 0.45–0.60.
Show Markers on Good Bins
Draws a small square on bars that fall in a “good” slot (in addition to the soft background).
Limit to market hours (optional)
Restrict to Session + Session
Only learn/score inside this time window (e.g., “0930-1600”). Uses the chart/exchange timezone.
• Turn on if you only care about RTH.
Range (chop) alerts
Range START if ER ≤
Triggers range when efficiency drops below this level (price starts zig-zagging).
• Higher = easier to call “range”. • Lower = stricter.
Range START if ATR ≤ this × SMA(ATR)
Also triggers range when ATR shrinks below this fraction of its average (volatility contraction).
• Higher (e.g., 1.0) = stricter (must be at/under average). • Lower (e.g., 0.9) = easier to call range.
Alerts on bar close
If ON, alerts fire once per bar close (cleaner). If OFF, they can trigger intrabar (faster, noisier).
Quick “what happens if I change X?”
Want more highlighted times? ↓ Min Probability, ↓ ER Threshold, or ↓ ATR Floor (e.g., 0.9).
Want stricter highlights? ↑ Min Probability, ↑ ER Threshold, or ↑ ATR Floor (e.g., 1.2).
Want recent days to matter more? ↑ Recent Days Weight toward 0.99.
On 4H/Daily, widen Minimum Bin (e.g., 60–240) and maybe lower Min Probability a bit.
OPADA//@version=5
indicator("Buy/Sell Zones – TV Style", overlay=true, timeframe="", timeframe_gaps=true)
//=====================
// الإعدادات
//=====================
len = input.int(100, "Length", minval=10)
useATR = input.bool(true, "Use ATR (بدل الانحراف المعياري)")
mult = input.float(2.0, "Band Multiplier", step=0.1)
useRSI = input.bool(true, "تفعيل فلتر RSI")
rsiOB = input.int(70, "RSI Overbought", minval=50, maxval=90)
rsiOS = input.int(30, "RSI Oversold", minval=10, maxval=50)
//=====================
// القناة: أساس + انحراف
//=====================
basis = ta.linreg(close, len, 0)
off = useATR ? ta.atr(len) * mult : ta.stdev(close, len) * mult
upper = basis + off
lower = basis - off
// نطاق علوي/سفلي بعيد لعمل تعبئة المناطق
lookback = math.min(bar_index, 500)
topBand = ta.highest(high, lookback) + 50 * syminfo.mintick
bottomBand = ta.lowest(low, lookback) - 50 * syminfo.mintick
//=====================
// الرسم
//=====================
pUpper = plot(upper, "Upper", color=color.new(color.blue, 0), linewidth=1)
pLower = plot(lower, "Lower", color=color.new(color.red, 0), linewidth=1)
pBasis = plot(basis, "Basis", color=color.new(color.gray, 60), linewidth=2)
// تعبئة المناطق: فوق القناة (أزرق)، تحت القناة (أحمر)
pTop = plot(topBand, display=display.none)
pBottom = plot(bottomBand, display=display.none)
fill(pUpper, pTop, color=color.new(color.blue, 80)) // منطقة مقاومة/بيع
fill(pBottom, pLower, color=color.new(color.red, 80)) // منطقة دعم/شراء
//=====================
// خط أفقي من قمّة قريبة (يمثل مقاومة) – قريب من الخط المنقّط في الصورة
//=====================
resLen = math.round(len * 0.6)
dynRes = ta.highest(high, resLen)
plot(dynRes, "Recent Resistance", color=color.new(color.white, 0), linewidth=1)
//=====================
// إشارات BUY / SELL + فلتر RSI (اختياري)
//=====================
rsi = ta.rsi(close, 14)
touchLower = ta.crossover(close, lower) or close <= lower
touchUpper = ta.crossunder(close, upper) or close >= upper
buyOK = useRSI ? (touchLower and rsi <= rsiOS) : touchLower
sellOK = useRSI ? (touchUpper and rsi >= rsiOB) : touchUpper
plotshape(buyOK, title="BUY", location=location.belowbar, style=shape.labelup,
text="BUY", color=color.new(color.green, 0), textcolor=color.white, size=size.tiny, offset=0)
plotshape(sellOK, title="SELL", location=location.abovebar, style=shape.labeldown,
text="SELL", color=color.new(color.red, 0), textcolor=color.white, size=size.tiny, offset=0)
// تنبيهات
alertcondition(buyOK, title="BUY", message="BUY signal: price touched/closed below lower band (RSI filter may apply).")
alertcondition(sellOK, title="SELL", message="SELL signal: price touched/closed above upper band (RSI filter may apply).")
Buy/Sell Zones – TV Style//@version=5
indicator("Buy/Sell Zones – TV Style", overlay=true, timeframe="", timeframe_gaps=true)
//=====================
// الإعدادات
//=====================
len = input.int(100, "Length", minval=10)
useATR = input.bool(true, "Use ATR (بدل الانحراف المعياري)")
mult = input.float(2.0, "Band Multiplier", step=0.1)
useRSI = input.bool(true, "تفعيل فلتر RSI")
rsiOB = input.int(70, "RSI Overbought", minval=50, maxval=90)
rsiOS = input.int(30, "RSI Oversold", minval=10, maxval=50)
//=====================
// القناة: أساس + انحراف
//=====================
basis = ta.linreg(close, len, 0)
off = useATR ? ta.atr(len) * mult : ta.stdev(close, len) * mult
upper = basis + off
lower = basis - off
// نطاق علوي/سفلي بعيد لعمل تعبئة المناطق
lookback = math.min(bar_index, 500)
topBand = ta.highest(high, lookback) + 50 * syminfo.mintick
bottomBand = ta.lowest(low, lookback) - 50 * syminfo.mintick
//=====================
// الرسم
//=====================
pUpper = plot(upper, "Upper", color=color.new(color.blue, 0), linewidth=1)
pLower = plot(lower, "Lower", color=color.new(color.red, 0), linewidth=1)
pBasis = plot(basis, "Basis", color=color.new(color.gray, 60), linewidth=2)
// تعبئة المناطق: فوق القناة (أزرق)، تحت القناة (أحمر)
pTop = plot(topBand, display=display.none)
pBottom = plot(bottomBand, display=display.none)
fill(pUpper, pTop, color=color.new(color.blue, 80)) // منطقة مقاومة/بيع
fill(pBottom, pLower, color=color.new(color.red, 80)) // منطقة دعم/شراء
//=====================
// خط أفقي من قمّة قريبة (يمثل مقاومة) – قريب من الخط المنقّط في الصورة
//=====================
resLen = math.round(len * 0.6)
dynRes = ta.highest(high, resLen)
plot(dynRes, "Recent Resistance", color=color.new(color.white, 0), linewidth=1)
//=====================
// إشارات BUY / SELL + فلتر RSI (اختياري)
//=====================
rsi = ta.rsi(close, 14)
touchLower = ta.crossover(close, lower) or close <= lower
touchUpper = ta.crossunder(close, upper) or close >= upper
buyOK = useRSI ? (touchLower and rsi <= rsiOS) : touchLower
sellOK = useRSI ? (touchUpper and rsi >= rsiOB) : touchUpper
plotshape(buyOK, title="BUY", location=location.belowbar, style=shape.labelup,
text="BUY", color=color.new(color.green, 0), textcolor=color.white, size=size.tiny, offset=0)
plotshape(sellOK, title="SELL", location=location.abovebar, style=shape.labeldown,
text="SELL", color=color.new(color.red, 0), textcolor=color.white, size=size.tiny, offset=0)
// تنبيهات
alertcondition(buyOK, title="BUY", message="BUY signal: price touched/closed below lower band (RSI filter may apply).")
alertcondition(sellOK, title="SELL", message="SELL signal: price touched/closed above upper band (RSI filter may apply).")
HalfTrend Adaptive Pro v3half trend version 3.1//@version=6
indicator("Candlestick Recognizer v1 (Praveen Edition)", overlay=true, max_labels_count=500)
// ──────────────────────────────
// Inputs: toggles & thresholds
// ──────────────────────────────
grpUse = "Enable Patterns"
useEngulf = input.bool(true, "Engulfing (Bull/Bear)", group=grpUse)
usePiercing = input.bool(true, "Piercing Line / Dark Cloud", group=grpUse)
useMarubozu = input.bool(true, "Marubozu (Bull/Bear)", group=grpUse)
useHammers = input.bool(true, "Hammer / Hanging Man", group=grpUse)
useInverted = input.bool(true, "Inverted Hammer / Shooting Star", group=grpUse)
useDoji = input.bool(true, "Doji", group=grpUse)
useStars = input.bool(true, "Morning/Evening Star", group=grpUse)
useThree = input.bool(true, "Three Soldiers / Three Crows", group=grpUse)
grpThr = "Thresholds"
minBodyPct = input.float(0.6, "Min Body vs Range (0-1) for 'strong body'", step=0.05, group=grpThr)
maxDojiBodyPct = input.float(0.1, "Max Body vs Range (0-1) for Doji", step=0.02, group=grpThr)
minEngulfFactor = input.float(1.02, "Engulf body size factor", step=0.01, group=grpThr)
wickRatioHammer = input.float(2.0, "Hammer lower wick ≥ body ×", step=0.1, group=grpThr)
wickRatioShooting = input.float(2.0, "Shooting Star upper wick ≥ body ×", step=0.1, group=grpThr)
gapTolerance = input.float(0.15, "Star gap tolerance as % of ATR", step=0.01, group=grpThr)
grpVis = "Visuals"
showLabels = input.bool(true, "Show Labels", group=grpVis)
labelSize = input.string("normal", "Label Size", options= , group=grpVis)
onlyConfirmed = input.bool(true, "Only on bar close (confirmed)", group=grpVis)
// Colors
bullCol = color.new(color.green, 0)
bearCol = color.new(color.red, 0)
warnCol = color.new(color.yellow, 0)
textCol = color.black
// Helper to gate by confirmation
confirmed = onlyConfirmed ? barstate.isconfirmed : true
// ──────────────────────────────
// Candle math helpers
// ──────────────────────────────
body(o, c) => math.abs(c - o)
range(h, l) => h - l
isBull(o, c) => c > o
isBear(o, c) => c < o
upperW(h, o, c) => h - math.max(o, c)
lowerW(l, o, c) => math.min(o, c) - l
safeDiv(x, y) => y == 0.0 ? 0.0 : x / y
// Current and previous (p1, p2)
o = open, c = close, h = high, l = low
o1 = open , c1 = close , h1 = high , l1 = low
o2 = open , c2 = close , h2 = high , l2 = low
b = body(o, c)
r = range(h, l)
ub = upperW(h, o, c)
lb = lowerW(l, o, c)
b1 = body(o1, c1)
r1 = range(h1, l1)
b2 = body(o2, c2)
r2 = range(h2, l2)
bull = isBull(o, c)
bear = isBear(o, c)
bull1 = isBull(o1, c1)
bear1 = isBear(o1, c1)
bull2 = isBull(o2, c2)
bear2 = isBear(o2, c2)
bodyVsRange = safeDiv(b, r)
bodyVsRange1 = safeDiv(b1, r1)
bodyVsRange2 = safeDiv(b2, r2)
atr = ta.atr(14)
// ──────────────────────────────
/* Pattern logic */
// ──────────────────────────────
// 1) Engulfing
bullEngulf = useEngulf and confirmed and bear1 and bull and (b >= b1 * minEngulfFactor) and (o <= c1) and (c >= o1)
bearEngulf = useEngulf and confirmed and bull1 and bear and (b >= b1 * minEngulfFactor) and (o >= c1) and (c <= o1)
// 2) Piercing Line / Dark Cloud Cover
piercing = usePiercing and confirmed and bear1 and bull and c > (o1 + c1)/2 and o <= l1 + (h1 - l1)*0.25 // open near/below prior low, close into upper half
darkCloud = usePiercing and confirmed and bull1 and bear and c < (o1 + c1)/2 and o >= h1 - (h1 - l1)*0.25 // open near/above prior high, close into lower half
// 3) Marubozu (strong body, tiny wicks)
maruBull = useMarubozu and confirmed and bull and bodyVsRange >= minBodyPct and ub <= b * 0.1 and lb <= b * 0.1
maruBear = useMarubozu and confirmed and bear and bodyVsRange >= minBodyPct and ub <= b * 0.1 and lb <= b * 0.1
// 4) Hammer / Hanging Man (small body, long lower wick)
hammer = useHammers and confirmed and bull and lb >= b * wickRatioHammer and ub <= b * 0.5
hangingMan = useHammers and confirmed and bear and lb >= b * wickRatioHammer and ub <= b * 0.5
// 5) Inverted Hammer / Shooting Star (small body, long upper wick)
invHammer = useInverted and confirmed and bull and ub >= b * wickRatioShooting and lb <= b * 0.5
shootingStar = useInverted and confirmed and bear and ub >= b * wickRatioShooting and lb <= b * 0.5
// 6) Doji
doji = useDoji and confirmed and bodyVsRange <= maxDojiBodyPct
// 7) Morning Star
TFRSI & RSI Analog Dial [CHE] TFRSI & RSI Analog Dial — Interactive analog visualization for TFRSI or RSI with gradient zones, radial markers, and a trailing hand pointer.
Summary
This indicator renders an interactive analog dial for either TFRSI or standard RSI, providing a visual gauge with gradient-filled zones for oversold, neutral, and overbought regions. The hand pointer tracks the current value, with optional trailing dots at recent positions to show momentum direction. Radial lines mark key thresholds, and a digital readout displays the exact value. This design enhances readability over linear plots by leveraging familiar clock-like intuition, reducing cognitive load during quick scans. Signals are robust due to clamping to safe bounds and mode-specific scaling, ensuring consistent display across different volatility regimes.
Motivation: Why this design?
Traditional linear RSI or momentum indicators often feel abstract, especially in fast-paced screening where users scan multiple assets. Sharp swings can make thresholds hard to gauge at a glance, leading to missed nuances in overbought or oversold conditions. This dial addresses that by mapping values to a curved scale with color gradients, making extremes visually pop while the hand's trail hints at recent path without cluttering the chart. The dual-mode support allows seamless switching between advanced momentum (TFRSI) and classic RSI, fitting diverse strategies without reloading scripts.
What’s different vs. standard approaches?
- Baseline reference: Diverges from linear plotlines like the built-in RSI oscillator, which stacks values vertically and relies on horizontal lines for thresholds.
- Architecture differences:
- Curved projection with perspective tilt for depth illusion, using polyline arcs instead of straight plots.
- Mode-aware clamping and scaling to handle TFRSI's extended range versus RSI's standard bounds.
- Persistent trail array for hand history, capped at three points to avoid performance drag.
- Gradient segmentation for smooth zone transitions, rendered via multiple thin polylines.
- Practical effect: Charts show a compact, rotatable dial that fits in pane corners, with colors intuitively signaling bias (lime for buy zones, red for sell). The trail adds qualitative flow without numerical overload, helping spot divergences faster than static bars.
How it works (technical)
The indicator first computes the selected metric: for TFRSI, it processes price accelerations through a multi-step filter involving differencing, exponential damping, and normalization to a centered scale; for RSI, it uses the standard gain-loss ratio over the specified period. The value is then clamped between mode-specific minimum and maximum bounds to prevent display overflow.
This clamped value drives the hand angle on a 300-degree arc, projected from a 3D-like model rotated for perspective. Arcs for zones are built as segmented polylines, with colors interpolated linearly across the gradient. Key levels are drawn as radial lines from inner to outer radius, colored by zone. The trail maintains up to three prior angles in an array, updated only on confirmed bars to avoid repainting, and rendered as sized dots fading from small to large.
Initialization seeds filter states to zero on first bar, with persistent variables holding smoothing history. Data flows from price to metric computation, clamping, angle mapping, and projection—all executed globally on the last bar for redraw efficiency.
Parameter Guide
Mode — Switches between TFRSI (extended momentum gauge) and RSI (classic oscillator); affects bounds, zones, and labels. Default: "TFRSI". Trade-offs: TFRSI adds sensitivity to accelerations but may amplify noise; RSI is more stable for trend confirmation.
Dial Size — Sets radius in pixels, scaling all elements proportionally. Default: 200. Bounds: 50–500. Tips: Larger for detailed views, smaller for multi-pane layouts; auto-scales hand length to match.
Dial Vertical Offset — Shifts entire dial up/down in pixels. Default: 0. Bounds: -200–200. Trade-offs: Negative pulls toward price action; positive spaces below—use to avoid overlap.
Camera Angle — Tilts view from top-down (0) to side (90) for 3D effect. Default: 45. Bounds: 0–90. Tips: Steeper angles emphasize depth but compress horizontally; flat for precision.
Resolution — Polygon sides for smooth arcs. Default: 64. Bounds: 4–64. Trade-offs: Higher reduces jaggedness but increases draw calls—balance with pane zoom.
TFRSI Hand Length — Base pointer length at 200px dial, auto-scaled. Default: 170. Bounds: 10–200. Tips: Longer for emphasis in large dials; shorter avoids edge clipping.
Show TFRSI Hand — Toggles pointer visibility. Default: true. Trade-offs: Off for clean zones only; on for value tracking.
Show Hand Trail Dots — Displays 3 fading dots at recent tips. Default: true. Trade-offs: Adds motion context but may clutter static views—disable in alerts.
TFRSI Hand Color — Pointer hue, used for trail dots too. Default: 7E57C2. Tips: Match strategy theme; gradients auto-blend to zones.
Dial Base Color — Arc outline/fill tint. Default: blue. Trade-offs: Opaque for contrast; transparent blends with background.
Neutral Color (50) — Mid-zone shade. Default: gray. Tips: Neutral tones reduce bias in balanced markets.
Oversold Color — Low-zone fill. Default: lime. Trade-offs: Bright for alerts; muted for subtlety.
Overbought Color — High-zone fill. Default: red. Trade-offs: As above—pair with hand blending.
Label Size — Text scaling for thresholds. Default: "normal". Options: tiny/small/normal/large/huge. Tips: Smaller for dense charts; larger for presentations.
Digital TFRSI Size — Readout font. Default: "large". Options: as above. Trade-offs: Balances visibility without dominating dial.
Digital Vertical Offset — Readout position shift. Default: -50. Bounds: -200–200. Tips: Negative centers above dial; adjust for multi-indicators.
TFRSI Length — Core lookback for accelerations. Default: 6. Min: 1. Trade-offs: Shorter heightens reactivity, risks whipsaws; longer smooths extremes.
TFRSI Trigger Length — Final smoothing passes. Default: 2. Min: 1. Tips: Increase for fewer false crosses; decrease for quicker pivots.
RSI Length — Period for gain-loss averaging. Default: 14. Min: 1. Trade-offs: Classic 14 balances; shorter for scalps, longer for swings.
Reading & Interpretation
The dial arcs sweep from overbought (right, red) through neutral (top, gray) to oversold (left, lime), with the hand pointing to the current value—clockwise for rising, counterclockwise for falling. Trail dots grow larger toward the present, colored to match hand zones, indicating recent direction without numbers. Threshold lines thicken at center (50) for quick zeroing; labels confirm levels. Digital readout below shows precise value prefixed by mode. Hand color gradients from neutral to extremes signal building pressure verbally: deepening red warns of potential pullbacks, brightening lime suggests bounces.
Practical Workflows & Combinations
Trend following: Enter long when hand crosses above 50 from oversold trail; confirm with higher highs in price structure. Filter shorts below 50 in downtrends using volume spikes.
Exits/Stops: Trail stops to recent dot positions in overbought; tighten on red gradients exceeding thresholds. Conservative: Exit at neutral; aggressive: Hold to extremes if trail aligns with momentum.
Multi-asset/Multi-TF: Defaults suit forex/stocks on 1H–4H; for crypto, shorten lengths by 20% for volatility. Stack with HTF security calls (e.g., daily mode on 15m chart) for confluence—watch for alignment across dials.
Behavior, Constraints & Performance
Closed-bar updates ensure no repainting; live bars show provisional hand/trail, confirmed on close. No security or HTF calls, so zero lookahead bias. Resources: Caps at 500 lines/labels/polylines, rebuilds only on last bar; max_bars_back=2000 handles history without lag. Known limits: Trail may stutter in flat markets; gradients approximate smooth fills via segments, visible at low resolution.
Sensible Defaults & Quick Tuning
Start with TFRSI mode, length=6, trigger=2 for responsive momentum on daily charts. Too choppy? Bump trigger to 4 for stability. Lagging entries? Drop length to 4, watch for overreactions. For RSI trend filter, set length=21; combine with MA cross for entries when dial nears 30/70.
What this indicator is—and isn’t
This is a visualization layer for momentum gauges, aiding quick bias assessment and threshold spotting. Pair it with price action, volume, and risk rules for decisions. It’s not a standalone signal generator or predictive tool—values reflect past data, prone to whipsaws in ranging conditions.
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.
Best regards and happy trading
Chervolino
