PONTE SERIO👊🤨'TALK TO JOEALGO' / Este indicador lo desarrolle para los "PANAS", gente de propósito, ser trillonario y tenerlo todo no es tener lujos, es la paz de saber que hay personas que aman y te estiman, hacer cosas que te apasionan demasiado... WILLY, JOEL, TIMBER, CHRIS... hermanos de verdad! de la ruina al propósito; tenemos la verdadera funda en las palma de nuestras manos.
'TALK TO JOEALGO' / I developed this indicator for the "PANAS", people with a purpose. Being a trillionaire and having it all isn't about luxury, it's about the peace of knowing there are people who love and appreciate you, doing things you're so passionate about... WILLY, JOEL, TIMBER, CHRIS... true brothers! From ruin to purpose; we have the real case in the palm of our hands.
Educational
Crusader Sessions (Multi TF)This indicator finds the Asia and London Trading Sessions absolute High and Low.
The Asia trading session high and low are labelled by 2 horizontal dotted purple lines.
The London trading session high and low are labelled by 2 horizontal dotted orange lines.
The lines will only appear after the trading sessions are complete and only work accurately for time frames below while including the 1 hour time frame.
NR - Price-Action Long/Short [PALS]PALS (acronym for Price Action Long Short ) is a simplified view of Price Action
that computes relative movement of OHLC values (from chart) between consecutive bars to mark probable Long/Short signals on the price chart.
Combining PALS with Heikin-Ashi charts and SuperTrend(5, 1.432) is recommended but not mandatory.
Inspiration for this script comes from Buy/Sell Indicator by Prakash EEE:
What PALS does and why?
Search for simplification of the complex ema of ema based range shrinking logic learnt from Prakash's approach led to -
- the simpler comparison of a two-bar average over previous close and current open with an average of current OHLC values (giving less weight to the opens and more weight to the rest of them).
Crossovers between those two oscillating relative values (difference between the two averages being positive or negative) is the main logic.
PALS marks places where probable long or short trades may be setting up.
How to use PALS?
During trending phases the opposing signals may be used as areas where profit booking could be done while same side signals marking the re-entry/adding to the open positions.
Pairing PALS with a SuperTrend could help in filtering out the frequent turn arounds marked by PALS during sideways phase.
Adding more confirmations could improve the probable yet relatively longer lasting short-term signals.
Nasan Market Phase ClassifierThe Nasan Market Phase Classifier indicator designed to classify market phases using volume, volatility (or momentum), and statistical analysis. Here's a summary of how it works and what it does:
🔍 Core Concept
This indicator classifies the market into four phases based on volume and ATR (or optionally momentum):
High Volume / High ATR or Momentum (HV/HATR): Strong Trend
Low Volume / High ATR or Momentum (LV/HATR): False Breakout / Exhaustion
High Volume / Low ATR or Momentum (HV/LATR): Consolidation
Low Volume / Low ATR or Momentum (LV/LATR): Stagnation
⚙️ Key Settings
Short-Term Length: Used for the active market phase.
Long-Term Length: Used as the expected/benchmark distribution.
Use Momentum: Replaces volatility (ATR) with momentum (custom ROC-based formula).
Use Fixed Alpha: Toggles adaptive vs. fixed weighting in scoring (this is based on variation of the volatility - standard deviation of true range).
📊 How It Works
Volatility or Momentum Scoring:
Uses ATR-based or Momentum-based score depending on the setting.
Applies weighing (alpha) which is based on variability of the volatility itself.
Market Phase Count:
Measures how often each of the 4 volume/volatility combinations occur in:
Short-term window (observed phase)
Long-term window (expected distribution)
Category Proportions:
Calculates percentage share of each category (e.g., % time in HV/HATR).
Plots these on chart to visually see market phase dominance (can be used for screening of pine screener).
Statistical Testing:
IQV (Index of Qualitative Variation): Measures phase diversity (0 = focused, 1 = mixed).
Chi-Squared Test: Compares current vs. historical phase distribution.
Z-Test: Tests if current phase dominance is statistically significant.
📋 Outputs
On-Chart Plots and Tabels:
Strong Trend, False Breakout/Exhaustion, Consolidation, Stagnation
Strength Quality Plot: Trend strength normalized by IQV.
Dynamic Table (Top Right):
Shows each phase’s proportion (the current phase cell is highlighted in yellow), IQV, Chi² value, and current dominant phase. The current candle classification (text) is in purple.
Highlights the dominant phase classification and color-codes significance (the cell highlighted in green highly confident about the classification, orange intermediate confidence and red low confidence). This color coding is not just based on statistical significance it is based on IQV which takes into account how spread the proportions are.
🧠 Interpretation
A dominant HV/HATR phase with low IQV and high Z-Score indicates a strong and statistically significant trend.
High IQV suggests uncertainty or mixed market behavior.
Chi² spike indicates a shift from historical behavior can be used to see is the market behavior changing by changing the long term length say to 252 and short term length to 21 this will tell if the short term behavior is different from the past 252 day behavior.
Open - CSC Bars - 33 CSC Bars – Early Session Price Action Filter
This script detects when the first three bars of the RTH (Regular Trading Hours) session all move in the same direction — either all bullish or all bearish.
It’s a tool for price action traders who want to develop structured opening strategies by observing clean directional agreement at the session start. The indicator highlights the third bar when the sequence confirms directional bias.
🔍 How It Works:
Monitors the first three bars after the RTH session begins.
If all three bars are bullish, it highlights the third bar (same for bearish sequences).
No projections, signals, or entries—purely a visual tool to observe and study opening behavior.
🎯 Use Case:
This script is designed to help traders build and test opening-based frameworks by identifying potential trend bias early in the day.
Note: This is an open-source utility script with a simple function. It does not generate signals or predictions and is intended to assist with observation and discretionary strategy building.
Bitcoin NUPL IndicatorThe Bitcoin NUPL (Net Unrealized Profit/Loss) Indicator is a powerful metric that shows the difference between Bitcoin's market cap and realized cap as a percentage of market cap. This indicator helps identify different market cycle phases, from capitulation to euphoria.
// How It Works
NUPL measures the aggregate profit or loss held by Bitcoin investors, calculated as:
```
NUPL = ((Market Cap - Realized Cap) / Market Cap) * 100
```
// Market Cycle Phases
The indicator automatically color-codes different market phases:
• **Deep Red (< 0%)**: Capitulation Phase - Most coins held at a loss, historically excellent buying opportunities
• **Orange (0-25%)**: Hope & Fear Phase - Early accumulation, price uncertainty and consolidation
• **Yellow (25-50%)**: Optimism & Anxiety Phase - Emerging bull market, increasing confidence
• **Light Green (50-75%)**: Belief & Denial Phase - Strong bull market, high conviction
• **Bright Green (> 75%)**: Euphoria & Greed Phase - Potential market top, historically good profit-taking zone
// Features
• Real-time NUPL calculation with customizable smoothing
• RSI indicator for additional momentum confirmation
• Color-coded background reflecting current market phase
• Reference lines marking key transition zones
• Detailed metrics table showing NUPL value, market sentiment, market cap, realized cap, and RSI
// Strategy Applications
• **Long-term investors**: Use extreme negative NUPL values (deep red) to identify potential bottoms for accumulation
• **Swing traders**: Look for transitions between phases for potential trend changes
• **Risk management**: Consider taking profits when entering the "Euphoria & Greed" phase (bright green)
• **Mean reversion**: Watch for overbought/oversold conditions when NUPL reaches historical extremes
// Settings
• **RSI Length**: Adjusts the period for RSI calculation
• **NUPL Smoothing Length**: Applies moving average smoothing to reduce noise
// Notes
• Premium TradingView subscription required for Glassnode and Coin Metrics data
• Best viewed on daily timeframes for macro analysis
• Historical NUPL extremes have often marked cycle bottoms and tops
• Use in conjunction with other indicators for confirmation
StocksHaul Smart AVWAP with Swing H|L This is a Smart AVWAP-Trio
Place Anchors at Measurable Events , like anchor the VWAP based on time increments (daily, week-to-date, month-to-date, or even year-to-date) or some important days where the whole market gave a big move (in whatever side) , e.g - Election Day .
The Idea is to keep things automated .
*Addition here is a Swing High or Low label with custom Sensitivity .
Thank You .
HTF Countdown by Silver Mountain Trading)Stay sharp and time your trades with precision.
This simple but effective tool shows a real-time countdown to the next Higher Time Frame (HTF) candle — such as 4H, 1H, or whatever timeframe you choose.
The countdown is always placed just below the current day’s low, with clean design and no clutter.
🔹 Displays remaining time in H:M:S
🔹 Anchored visually to current day’s LOD
🔹 Works in replay mode
🔹 Open-source and free to use
🔹 From Silver Mountain Trading
🙌 If you found this helpful, a like and subscribe to the Silver Mountain Trading YouTube channel would be much appreciated as a thank-you. www.youtube.com
Session OHLC LevelsMarks:
- NY open, AM high, AM low, PM high, PM low and close
- Asia open, high, low and close
- London open, high, low and close
Ezlin-Tabish-Trading-Codes-ALL-IndicatorALpha-1For education and Learnings only, no real trading, its a concept only
🔫 95% Sniper Smart Money Strategy (XAUUSD)This is a 95% winning strategy and the second AI based indicator i tried.
XAUUSD SMC OB + Liquidity + Buy/Sell SignalsOB + Liquidity with buy and sell signals.
This script is one of the many that I am making using AI
20 & 50 EMA + ATR, TR & DATRIndicator Name: 20 & 50 EMA + ATR, TR & DATR
This custom indicator combines trend and volatility analysis into a single tool, helping you make smarter trading decisions with fewer indicators on your chart.
---
1. 20 & 50 Exponential Moving Averages (EMAs)
EMA 20 (Blue Line): A short-term trend indicator that reacts quickly to price changes.
EMA 50 (Orange Line): A medium-term trend indicator that smooths out more of the noise.
How to Use:
Bullish signal: EMA 20 crosses above EMA 50
Bearish signal: EMA 20 crosses below EMA 50
Use crossovers or distance between EMAs to confirm trends or potential reversals
---
2. True Range (TR)
Definition: The greatest of the following:
High - Low
High - Previous Close
Previous Close - Low
Use: Shows how much the asset moved during the candle. Useful for understanding raw price movement.
---
3. Average True Range (ATR)
Definition: The average of the True Range over a 14-bar period
Line color: Red (shown in the status line above your chart)
How to Use:
High ATR = High volatility
Low ATR = Low volatility
Use ATR to help determine stop-loss and take-profit levels, or to avoid low-volatility periods
---
4. Daily ATR (DATR)
Definition: ATR calculated from the daily timeframe, regardless of the chart's current timeframe
Line color: Green (also shown in the status line)
How to Use:
Know how much the asset typically moves in a full day
Helps intraday traders set realistic targets or detect when the market is unusually quiet or active
Prop Firm Business SimulatorThe prop firm business simulator is exactly what it sounds like. It's a plug and play tool to test out any tradingview strategy and simulate hypothetical performance on CFD Prop Firms.
Now what is a modern day CFD Prop Firm?
These companies sell simulated trading challenges for a challenge fee. If you complete the challenge you get access to simulated capital and you get a portion of the profits you make on those accounts payed out.
I've included some popular firms in the code as presets so it's easy to simulate them. Take into account that this info will likely be out of date soon as these prices and challenge conditions change.
Also, this tool will never be able to 100% simulate prop firm conditions and all their rules. All I aim to do with this tool is provide estimations.
Now why is this tool helpful?
Most traders on here want to turn their passion into their full-time career, prop firms have lately been the buzz in the trading community and market themselves as a faster way to reach that goal.
While this all sounds great on paper, it is sometimes hard to estimate how much money you will have to burn on challenge fees and set realistic monthly payout expectations for yourself and your trading. This is where this tool comes in.
I've specifically developed this for traders that want to treat prop firms as a business. And as a business you want to know your monthly costs and income depending on the trading strategy and prop firm challenge you are using.
How to use this tool
It's quite simple you remove the top part of the script and replace it with your own strategy. Make sure it's written in same version of pinescript before you do that.
//--$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$--//--------------------------------------------------------------------------------------------------------------------------$$$$$$
//--$$$$$--Strategy-- --$$$$$$--// ******************************************************************************************************************************
//--$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$--//--------------------------------------------------------------------------------------------------------------------------$$$$$$
length = input.int(20, minval=1, group="Keltner Channel Breakout")
mult = input(2.0, "Multiplier", group="Keltner Channel Breakout")
src = input(close, title="Source", group="Keltner Channel Breakout")
exp = input(true, "Use Exponential MA", display = display.data_window, group="Keltner Channel Breakout")
BandsStyle = input.string("Average True Range", options = , title="Bands Style", display = display.data_window, group="Keltner Channel Breakout")
atrlength = input(10, "ATR Length", display = display.data_window, group="Keltner Channel Breakout")
esma(source, length)=>
s = ta.sma(source, length)
e = ta.ema(source, length)
exp ? e : s
ma = esma(src, length)
rangema = BandsStyle == "True Range" ? ta.tr(true) : BandsStyle == "Average True Range" ? ta.atr(atrlength) : ta.rma(high - low, length)
upper = ma + rangema * mult
lower = ma - rangema * mult
//--Graphical Display--// *-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-$$$$$$
u = plot(upper, color=#2962FF, title="Upper", force_overlay=true)
plot(ma, color=#2962FF, title="Basis", force_overlay=true)
l = plot(lower, color=#2962FF, title="Lower", force_overlay=true)
fill(u, l, color=color.rgb(33, 150, 243, 95), title="Background")
//--Risk Management--// *-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-$$$$$$
riskPerTradePerc = input.float(1, title="Risk per trade (%)", group="Keltner Channel Breakout")
le = high>upper ? false : true
se = lowlower
strategy.entry('PivRevLE', strategy.long, comment = 'PivRevLE', stop = upper, qty=riskToLots)
if se and upper>lower
strategy.entry('PivRevSE', strategy.short, comment = 'PivRevSE', stop = lower, qty=riskToLots)
The tool will then use the strategy equity of your own strategy and use this to simulat prop firms. Since these CFD prop firms work with different phases and payouts the indicator will simulate the gains until target or max drawdown / daily drawdown limit gets reached. If it reaches target it will go to the next phase and keep on doing that until it fails a challenge.
If in one of the phases there is a reward for completing, like a payout, refund, extra it will add this to the gains.
If you fail the challenge by reaching max drawdown or daily drawdown limit it will substract the challenge fee from the gains.
These gains are then visualised in the calendar so you can get an idea of yearly / monthly gains of the backtest. Remember, it is just a backtest so no guarantees of future income.
The bottom pane (non-overlay) is visualising the performance of the backtest during the phases. This way u can check if it is realistic. For instance if it only takes 1 bar on chart to reach target you are probably risking more than the firm wants you to risk. Also, it becomes much less clear if daily drawdown got hit in those high risk strategies, the results will be less accurate.
The daily drawdown limit get's reset every time there is a new dayofweek on chart.
If you set your prop firm preset setting to "'custom" the settings below that are applied as your prop firm settings. Otherwise it will use one of the template by default it's FTMO 100K.
The strategy I'm using as an example in this script is a simple Keltner Channel breakout strategy. I'm using a 0.05% commission per trade as that is what I found most common on crypto exchanges and it's close to the commissions+spread you get on a cfd prop firm. I'm targeting a 1% risk per trade in the backtest to try and stay within prop firm boundaries of max 1% risk per trade.
Lastly, the original yearly and monthly performance table was developed by Quantnomad and I've build ontop of that code. Here's a link to the original publication:
That's everything for now, hope this indicator helps people visualise the potential of prop firms better or to understand that they are not a good fit for their current financial situation.
Supertrend Profitabilty Analyzer 📊 - [JAYADEV RANA]Supertrend Profitability Analyzer 📊
🔹 Author: Jayadev Rana
🔹 Script Type: Closed-Source | Performance Analyzer
🔹 Compatible with: All symbols and timeframes
🔹 Purpose: Visualize the profitability of Supertrend configurations across a wide range of ATR lengths and Multipliers
🔍 What It Does:
This tool is designed to help traders analyze and compare the performance of Supertrend indicators across a large range of parameter combinations. It calculates trades and cumulative net profit/loss for each Supertrend configuration and displays the results in real time within an on-chart table.
The indicator simulates a long/short switch trading system based on Supertrend direction changes and logs the running unrealized and realized PnL for each configuration.
🎯 Who Is It For:
OANDA:XAUUSD
Strategy Developers: Quickly validate and visualize Supertrend parameter optimization.
Algorithmic Traders: Identify the best-performing Supertrend settings for bot automation.
Manual Traders: Understand which settings provide the best historical profitability.
Quantitative Analysts: Evaluate the effects of ATR and Factor variations systematically.
⚙️ How It Works:
Calculates 40 separate Supertrend configurations dynamically.
Monitors entries and exits by detecting changes in Supertrend direction.
Tracks net PnL (realized + unrealized) for each configuration.
Displays a PnL Summary Table for comparison:
Columns: ATR Length, Factor, Net PnL
Color-coded background for quick visual performance scanning (green = profit, red = loss).
Fully customizable with base inputs for:
ATR Length (default: 10)
Factor (default: 3.0)
Increment values for both to loop through ranges.
✅ Key Features:
Visualizes buy/sell signals for each Supertrend variation using arrows.
Tracks individual trade entries, direction (long/short), and running profitability.
Table-based display with split layout for configurations 1–19 and 20–39.
Includes configurable parameters for rapid prototyping.
📌 Important Notes (per House Rules):
This indicator does not repaint and uses confirmed bar closes only.
Strategy backtesting logic is embedded inside the script, but this is not a TradingView strategy, so use external validation or manual testing.
This is not a signal provider but an analytical tool to study Supertrend behavior.
All data shown is based on historical price action and does not guarantee future returns.
No commission/slippage is included in PnL calculations; use this tool for relative comparison only.
📈 Recommended Usage:
Timeframes: Works on all, but higher timeframes may yield cleaner trends.
Asset Types: Works with all types—crypto, stocks, forex, commodities.
Best Use Case: Use in combination with a TradingView strategy script or bot testing platform (e.g., 3Commas, WunderTrading) to further test the best performing parameters.
🧠 How to Interpret Results:
Positive Net PnL with consistent results across configurations suggests a robust trend-following opportunity.
Disparities across settings help you avoid overfitting and focus on adaptive ranges.
Look for consistent green rows in the table—those parameter combos may perform best historically.
🔐 License and Disclosure:
This script is open-source and available for educational and research purposes. No part of this script is financial advice. Use at your own discretion, and always combine tools with sound risk management.
💡 Tip: Save different templates by adjusting your base ATR and Factor values to focus on narrower parameter windows for deeper insights.
[UNITY] Follow the Flow 1.0Indicator Tracks the current Orderflow based on the last breakout
for traders who want to stay in favor of the current trend. The trend is our friend and we will follow it until it changes. And when it changes, we will be in favor of it again.
100% accuracy of the indication of the last confirmed Orderflow.
Pay attention to the multi-timeframe, since it is impossible for a trend to last once. I particularly like to observe and always be in favor of trends in larger graphical timeframes such as H1 or higher.
Use as a confluence in your pre-established entry models.
Prefer to use POI from larger timeframes (I personally do not operate against H1).
There is no buy or sell recommendation and this market is extremely volatile and risky.
HMG MA ZonesIt provides zones of possible peaks and troughs. It is an indicator that might show up at a possible top or bottom. It could be used as an overbought or oversold signal. Does Not necessarily mean that the price is topping or bottoming, but it could be possible.
Liquidty Sweeps HTF/CISD LTF🧠 High-Level Summary
This is a liquidity sweep-based trading indicator that identifies Fair Value Gaps (FVGs) on higher timeframes, waits for price to sweep key liquidity levels (like PDH, PDL, session highs/lows), and then looks for continuation signals using lower timeframe price action. It auto-detects entries, plots SL/TP, and highlights specific macro timing windows.
🧩 Core Features & Logic
1. User Inputs (Configurable)
Enable Long/Short trades
Risk/Reward ratio
Stop-loss method: Swing high/low or FVG bounds
FVG Timeframe: Define HTF for detecting Fair Value Gaps
CISD reference level: Open or High/Low for confirmation
Liquidity Reference: Choose from:
Previous Day High/Low
Previous Week High/Low
London Session High/Low
Asia Session High/Low
2. Macro Time Filters
Highlights key macro times like 6:50–7:10 AM, 9:50–10:10 AM EST etc.
Background is shaded during these times
Only allows trade entries during macro times
3. Session & Liquidity Zones
Tracks and stores:
Previous Day/Week Highs & Lows
London & Asia session highs/lows
Updates values at session or day/week boundaries
Draws these levels on the chart and labels them on the most recent bar
4. Fair Value Gap Detection
HTF FVG logic:
Bullish FVG: low > high
Bearish FVG: low > high
Also has optional same-timeframe FVG plotting
FVGs are stored in arrays and plotted as dashed boxes
5. Sweep & Entry Logic
Checks if price sweeps key liquidity levels
For shorts: price must sweep above liquidity and then reject
For longs: price must sweep below liquidity and then bounce
Confirmation candle setup:
For shorts: After sweep, price drops and closes below FVG bottom
For longs: After sweep, price rises and closes above FVG top
6. CISD (Continuation In Same Direction) Detection
After a sweep, it checks past 10–12 candles for a CISD:
Bullish: green candle with open below FVG
Bearish: red candle with open above FVG
Plots label and dashed line at CISD level (Open or High/Low depending on setting)
7. Trade Management
Entry signals are visually labeled ("Long" / "Short")
Auto-draws Stop-Loss and Take-Profit boxes based on:
Swing level
FVG boundaries (near/far)
If TP or SL is hit, boxes and labels are cleared
8. Cleanup & Debug Support
FVGs are invalidated (cleared from array) if price moves above/below them
Debug mode preserves objects for analysis
Optional debug plots and labels for internal states
AI Gold Trading IndicatorAI Gold Trading Indicator
Unlock smarter trading decisions with the AI Gold Trading Indicator — a powerful tool that combines technical analysis with simulated AI logic. Featuring adaptive buy/sell signals, probability-based insights, and customizable strategy models (Random Forest or Gradient Boosting), this indicator helps you trade with confidence on any timeframe. Perfect for traders who want clarity, precision, and edge in the gold market.
CPR with Support & ResistanceWe recommend some preconditions for Intraday Trading Strategy with CPR (Central Pivot Range)
Rules For BUY Setup with CPR
1) Today's Pivot Level Should be higher than Previous Day's Pivot Level
2) The previous day's close should be near day high.
Rules For SELL Setup with CPR
1) Today's Pivot Level Should be lower than Previous Day's Pivot Level
2) The previous day's close should be near day low.
CPR or central pivot range is the best tool available for the trader to see the price base indicator. You can use this tool i.e CPR (central pivot range) to check the price indicator in the stock market. You know the price of shares sometimes goes up or sometimes goes down in the stock market. So it will be best to stay updated and know it before the time the share market/stock market fall or rises.
ML-based Signal PredictionML Signal Prediction Engine is a next-gen market analysis tool powered by custom machine learning logic.
This indicator decodes price action using multi-feature vectors (RSI, CCI, ADX, WaveTrend) and classifies upcoming market moves.
⚙️ Core Features:
Smart Buy/Sell Signals
Noise-filtered entries with dynamic & strict exits
Volatility, Regime & Trend-based filters
Real-time performance table (Win/Loss, Flips, Stats)
Kernel-powered trend detection + smart trail overlay
🎯 Built for traders who want clean signals, smart logic, and no fluff.
✅ Zero lag.
✅ No repaint.
✅ Pure logic.
🧪 For research & educational use only — not financial advice.
#MLSignals
#MachineLearningTrading
#SmartBuySell
#NonRepainting
#AdvancedIndicator
#AlgoTrading
#SignalPrediction
#KernelRegression
#QuantSignals
#MLBasedStrategy
#CustomIndicator
#TradingAI
#Hunterbybirth
#InviteOnlyScript
#PrecisionSignals
#TradingView
#TradingViewIndia
#TradingViewSignals
#TradingScript
#PineScript
#InviteOnlyScript
#TechnicalAnalysis
#PriceAction
#ChartPatterns
#AlgoTrader
#IndicatorDevelopment
#ScriptSharing
#BacktestReady
#TrendFilter
#TradingCommunity
PRO Strategy 3TP (v2.1)**PRO Strategy 3TP (v2.1) - TradingView Strategy Guide**
**ENG | **
---
### **Strategy Overview**
The **PRO Strategy 3TP** combines multi-timeframe analysis, trend filters, and dynamic risk management to capture trends with precision. It uses EMA/HMA/SMA crossovers, CCI for overbought/oversold conditions, ADX for trend strength, and ATR-based stops/take-profits. The strategy’s uniqueness lies in its **three-tier profit-taking system**, adaptive multi-timeframe logic, and automatic stop-loss movement to breakeven after TP1.
---
### **Key Features**
1. **Multi-Timeframe Analysis**: Uses higher timeframe (e.g., 1H, 4H) indicators to filter entries on your chart’s timeframe.
2. **Trend Filters**: Combines EMA, HMA, and SMA to confirm trend direction.
3. **CCI + ADX Filters**: Avoids false signals by requiring momentum (CCI) and trend strength (ADX > threshold).
4. **ATR Volatility Adjustments**: Stop-loss (SL) and take-profits (TP1/TP2/TP3) adapt to market volatility.
5. **Breakeven Stop**: SL moves to entry price after TP1 is hit, locking in profits.
---
### **Setup & Configuration**
1. **Input Parameters**:
- **Trading Mode**: Choose LONG, SHORT, or BOTH.
- **Indicator Timeframe**: Select a higher timeframe (e.g., "60" for 1H).
- **EMA/HMA/SMA**: Toggle on/off and set lengths (default: 100, 50, 200).
- **CCI**: Set length (default: 4), overbought (+100), oversold (-100).
- **ADX**: Set length (default: 14) and threshold (default: 26).
- **ATR**: Period (default: 19), SL/TP multipliers (default: SL=5x, TP1=1x, TP2=1.3x, TP3=1.7x).
2. **Position Sizing**:
- **Always specify size in contracts**, not percentages. Calculate contracts based on your risk per trade (e.g., 1-2% of capital).
3. **Multi-Timeframe Logic**:
- Example: If your chart is 15M, set the indicator timeframe to 1H. Entries trigger when the 15M price aligns with the 1H trend.
---
### **How It Works**
- **Entry Conditions**:
- **Long**: Price > EMA/HMA/SMA + CCI < -100 (oversold) + ADX > 26 (strong trend).
- **Short**: Price < EMA/HMA/SMA + CCI > +100 (overbought) + ADX > 26.
- **Exits**:
- **SL**: 5x ATR from entry.
- **TP1**: 1x ATR profit. After TP1 hits, SL moves to breakeven.
- **TP2/TP3**: 1.3x and 1.7x ATR profit.
---
### **Example Configurations**
1. **Scalping (1-15M Chart)**:
- EMA=50, HMA=20, SMA=OFF, CCI=3, ATR=14, SL=3x, TP1=0.8x.
- Indicator TF: 5M.
2. **Swing Trading (1H-4H Chart)**:
- EMA=100, HMA=50, SMA=200, ADX=20, SL=5x, TP1=1x.
- Indicator TF: 1D.
3. **Trend Following (Daily Chart)**:
- SMA=200, ADX=25, CCI=OFF, SL=6x, TP3=2x.
---
### **ADX Explanation**
The ADX (Average Directional Index) measures trend strength. Values above 25 indicate a strong trend. The strategy uses ADX to avoid trading in sideways markets.
---
### **Risk Management**
- **Past results do NOT guarantee future performance**.
- **No universal settings**: Optimize for each asset (BTC vs. alts behave differently).
- Test settings in a demo account before live trading.
- Never risk more than 1-5% per trade.
---
### **FAQ**
**Q: Why specify position size in contracts?**
A: Contracts let you precisely control risk. For example, if your SL is 50 points and you risk $100, size = 100 / (SL distance * contract value).
**Q: How does the breakeven stop work?**
A: After TP1 (33% position closed), the SL moves to entry price, eliminating risk for the remaining position.
**Q: Can I use this on stocks/forex?**
A: Yes, but re-optimize ATR/SL/TP settings for each market’s volatility.
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**ПРО Стратегия 3TP (v2.1) - Руководство для TradingView**
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### **Описание стратегии**
**PRO Strategy 3TP** сочетает мультитаймфрейм-анализ, фильтры тренда и динамическое управление рисками. Уникальность: **три уровня тейк-профита**, адаптивные настройки под разные таймфреймы, автоматический перевод стопа в безубыток после TP1.
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### **Особенности**
1. **Мультитаймфрейм**: Индикаторы строятся на старшем ТФ (например, 1H) для фильтрации сигналов.
2. **Тренд**: Комбинация EMA, HMA, SMA.
3. **CCI + ADX**: CCI определяет перекупленность/перепроданность, ADX — силу тренда.
4. **ATR**: Стопы и тейки адаптируются к волатильности.
5. **Стоп в безубыток**: После TP1 стоп двигается к цене входа.
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### **Настройка**
1. **Параметры**:
- **Режим**: LONG, SHORT или LONG/SHORT.
- **Таймфрейм индикаторов**: Выберите старший ТФ (например, 1H).
- **EMA/HMA/SMA**: Длины (по умолчанию: 100, 50, 200).
- **CCI**: Уровни перекупленности (+100)/перепроданности (-100).
- **ADX**: Порог силы тренда (26).
- **ATR**: Период (19), множители SL/TP.
2. **Объем позиции**:
- Указывайте в **контрактах**, а не в процентах. Рассчитывайте на основе риска на сделку.
3. **Мультитаймфрейм**:
- Пример: На 15-минутном графике используйте индикаторы с 1H.
---
### **Логика работы**
- **Вход**:
- **Лонг**: Цена выше EMA/HMA/SMA + CCI < -100 + ADX > 26.
- **Шорт**: Цена ниже EMA/HMA/SMA + CCI > +100 + ADX > 26.
- **Выход**:
- **SL**: 5x ATR от цены входа.
- **TP1**: 1x ATR. После TP1 стоп двигается в безубыток.
- **TP2/TP3**: 1.3x и 1.7x ATR.
---
### **Примеры настроек**
1. **Скальпинг (1-15M)**:
- EMA=50, HMA=20, CCI=3, SL=3x, TP1=0.8x.
2. **Свинг (1H-4H)**:
- SMA=200, ADX=20, SL=5x.
3. **Тренд (Daily)**:
- ADX=25, SL=6x, TP3=2x.
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### **Как работает ADX**
ADX измеряет силу тренда. Значения выше 25 сигнализируют о сильном тренде. Стратегия избегает входов при ADX < 26.
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### **Риски**
- **Исторические результаты не гарантируют будущие**.
- **Нет универсальных настроек**: Оптимизируйте под каждый актив (BTC vs. альты).
- Тестируйте на демо-счете.
- Рискуйте не более 1-5% на сделку.
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### **FAQ**
**В: Почему объем в контрактах?**
О: Чтобы точно контролировать риск. Пример: если стоп = 50 пунктов, а риск = $100, объем = 100 / (стоп * стоимость контракта).
**В: Как работает стоп в безубыток?**
О: После закрытия 33% позиции (TP1), стоп переносится на цену входа, защищая оставшуюся позицию.
**В: Подходит для акций/форекс?**
О: Да, но перенастройте ATR/SL/TP под волатильность рынка.
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**⚠️ Warning / Предупреждение**: Trading involves high risk. Always backtest and optimize strategies. Use stop-losses. / Торговля связана с риском. Всегда тестируйте стратегии. Используйте стоп-лоссы.
vusalfx v3 Nzd/Usd 1m(RR 1:3)Indicator Description (for NZD/USD 1-Minute Chart)
This indicator is designed for scalping on the NZD/USD currency pair using a 1-minute timeframe. It combines exponential moving averages and the Relative Strength Index (RSI) to generate potential trade signals with a defined risk-to-reward ratio.
Risk/Reward Ratio: 1:3 (Risking 1% to gain 3%)
Stop Loss: 1%
Take Profit: 3%
EMA 9 (Fast EMA): Displayed in orange
EMA 21 (Slow EMA): Displayed in blue
RSI: 14-period RSI for momentum confirmation
The strategy looks for trend continuation and momentum setups based on EMA crossovers and RSI confirmation, with strict risk management.
