nATR*ATR Multiplication Indicator - Optimal Selection Tool forThis indicator is specifically designed as an analysis tool for investors using grid bot strategies. It displays both nATR (Normalized Average True Range) and ATR (Average True Range) values on a single chart screen, calculating the multiplication of these two critical volatility measurements.
Primary Purpose of the Indicator:
To facilitate the selection of the most optimal stock and time period for grid bot trading. The nATR*ATR multiplication provides a hybrid measurement that combines both percentage-based return potential (nATR) and absolute volatility magnitude (ATR).
Importance for Grid Bot Strategy:
High nATR: Greater percentage-based return potential
High ATR: Wider price range = Fewer grid levels = More budget allocation per grid
Formula: Price Range/ATR = Theoretical Grid Count
Usage Advantages:
Test different time periods to find the highest multiplication value
Make optimal stock and time frame selections for grid bot setup
Monitor both nATR and ATR values on a single screen
High multiplication values indicate ideal conditions for grid bots
Technical Features:
Adjustable calculation period (1-500 candles)
Visual alert system (high/low multiplication values)
Real-time value tracking table
SMA-based smoothed calculations
This serves as a reliable guide for grid bot investors in optimal timing and stock selection.
Forecasting
LE Watchlist🔧 How to use this in TradingView:
Copy → paste into Pine Editor → click Add to Chart.
Go to your Watchlist → click the 3 dots → Add Column → Indicators.
Pick Above 8EMA & Premarket High Column.
Now your watchlist will show:
✔ (green check) if price is above both 8 EMA and premarket high.
✖ (red X) if not.
ATR Future Movement Range Projection
The "ATR Future Movement Range Projection" is a custom TradingView Pine Script indicator designed to forecast potential price ranges for a stock (or any asset) over short-term (1-month) and medium-term (3-month) horizons. It leverages the Average True Range (ATR) as a measure of volatility to estimate how far the price might move, while incorporating recent momentum bias based on the proportion of bullish (green) vs. bearish (red) candles. This creates asymmetric projections: in bullish periods, the upside range is larger than the downside, and vice versa.
The indicator is overlaid on the chart, plotting horizontal lines for the projected high and low prices for both timeframes. Additionally, it displays a small table in the top-right corner summarizing the projected prices and the percentage change required from the current close to reach them. This makes it useful for traders assessing potential targets, risk-reward ratios, or option strategies, as it combines volatility forecasting with directional sentiment.
Key features:
- **Volatility Basis**: Uses weekly ATR to derive a stable daily volatility estimate, avoiding noise from shorter timeframes.
- **Momentum Adjustment**: Analyzes recent candle colors to tilt projections toward the prevailing trend (e.g., more upside if more green candles).
- **Time Horizons**: Fixed at 1 month (21 trading days) and 3 months (63 trading days), assuming ~21 trading days per month (excluding weekends/holidays).
- **User Adjustable**: The ATR length/lookback (default 50) can be tweaked via inputs.
- **Visuals**: Green/lime lines for highs, red/orange for lows; a semi-transparent table for quick reference.
- **Limitations**: This is a probabilistic projection based on historical volatility and momentum—it doesn't predict direction with certainty and assumes volatility persists. It ignores external factors like news, earnings, or market regimes. Best used on daily charts for stocks/ETFs.
The indicator doesn't generate buy/sell signals but helps visualize "expected" ranges, similar to how implied volatility informs option pricing.
### How It Works Step-by-Step
The script executes on each bar update (typically daily timeframe) and follows this logic:
1. **Input Configuration**:
- ATR Length (Lookback): Default 50 bars. This controls both the ATR calculation period and the candle count window. You can adjust it in the indicator settings.
2. **Calculate Weekly ATR**:
- Fetches the ATR from the weekly timeframe using `request.security` with a length of 50 weeks.
- ATR measures average price range (high-low, adjusted for gaps), representing volatility.
3. **Derive Daily ATR**:
- Divides the weekly ATR by 5 (approximating 5 trading days per week) to get an equivalent daily volatility estimate.
- Example: If weekly ATR is $5, daily ATR ≈ $1.
4. **Define Projection Periods**:
- 1 Month: 21 trading days.
- 3 Months: 63 trading days (21 × 3).
- These are hardcoded but based on standard trading calendar assumptions.
5. **Compute Base Projections**:
- Base projection = Daily ATR × Days in period.
- This gives the total expected movement (range) without direction: e.g., for 3 months, $1 daily ATR × 63 = $63 total range.
6. **Analyze Candle Momentum (Win Rate)**:
- Counts green candles (close > open) and red candles (close < open) over the last 50 bars (ignores dojis where close == open).
- Total colored candles = green + red.
- Win rate = green / total colored (as a fraction, e.g., 0.7 for 70%). Defaults to 0.5 if no colored candles.
- This acts as a simple momentum proxy: higher win rate implies bullish bias.
7. **Adjust Projections Asymmetrically**:
- Upside projection = Base projection × Win rate.
- Downside projection = Base projection × (1 - Win rate).
- This skews the range: e.g., 70% win rate means 70% of the total range allocated to upside, 30% to downside.
8. **Calculate Projected Prices**:
- High = Current close + Upside projection.
- Low = Current close - Downside projection.
- Done separately for 1M and 3M.
9. **Plot Lines**:
- 3M High: Solid green line.
- 3M Low: Solid red line.
- 1M High: Dashed lime line.
- 1M Low: Dashed orange line.
- Lines extend horizontally from the current bar onward.
10. **Display Table**:
- A 3-column table (Projection, Price, % Change) in the top-right.
- Rows for 1M High/Low and 3M High/Low, color-coded.
- % Change = ((Projected price - Close) / Close) × 100.
- Updates dynamically with new data.
The entire process repeats on each new bar, so projections evolve as volatility and momentum change.
### Examples
Here are two hypothetical examples using the indicator on a daily chart. Assume it's applied to a stock like AAPL, but with made-up data for illustration. (In TradingView, you'd add the script to see real outputs.)
#### Example 1: Bullish Scenario (High Win Rate)
- Current Close: $150.
- Weekly ATR (50 periods): $10 → Daily ATR: $10 / 5 = $2.
- Last 50 Candles: 35 green, 15 red → Total colored: 50 → Win Rate: 35/50 = 0.7 (70%).
- Base Projections:
- 1M: $2 × 21 = $42.
- 3M: $2 × 63 = $126.
- Adjusted Projections:
- 1M Upside: $42 × 0.7 = $29.4 → High: $150 + $29.4 = $179.4 (+19.6%).
- 1M Downside: $42 × 0.3 = $12.6 → Low: $150 - $12.6 = $137.4 (-8.4%).
- 3M Upside: $126 × 0.7 = $88.2 → High: $150 + $88.2 = $238.2 (+58.8%).
- 3M Downside: $126 × 0.3 = $37.8 → Low: $150 - $37.8 = $112.2 (-25.2%).
- On the Chart: Green/lime lines skewed higher; table shows bullish % changes (e.g., +58.8% for 3M high).
- Interpretation: Suggests stronger potential upside due to recent bullish momentum; useful for call options or long positions.
#### Example 2: Bearish Scenario (Low Win Rate)
- Current Close: $50.
- Weekly ATR (50 periods): $3 → Daily ATR: $3 / 5 = $0.6.
- Last 50 Candles: 20 green, 30 red → Total colored: 50 → Win Rate: 20/50 = 0.4 (40%).
- Base Projections:
- 1M: $0.6 × 21 = $12.6.
- 3M: $0.6 × 63 = $37.8.
- Adjusted Projections:
- 1M Upside: $12.6 × 0.4 = $5.04 → High: $50 + $5.04 = $55.04 (+10.1%).
- 1M Downside: $12.6 × 0.6 = $7.56 → Low: $50 - $7.56 = $42.44 (-15.1%).
- 3M Upside: $37.8 × 0.4 = $15.12 → High: $50 + $15.12 = $65.12 (+30.2%).
- 3M Downside: $37.8 × 0.6 = $22.68 → Low: $50 - $22.68 = $27.32 (-45.4%).
- On the Chart: Red/orange lines skewed lower; table highlights larger downside % (e.g., -45.4% for 3M low).
- Interpretation: Indicates bearish risk; might prompt protective puts or short strategies.
#### Example 3: Neutral Scenario (Balanced Win Rate)
- Current Close: $100.
- Weekly ATR: $5 → Daily ATR: $1.
- Last 50 Candles: 25 green, 25 red → Win Rate: 0.5 (50%).
- Projections become symmetric:
- 1M: Base $21 → Upside/Downside $10.5 each → High $110.5 (+10.5%), Low $89.5 (-10.5%).
- 3M: Base $63 → Upside/Downside $31.5 each → High $131.5 (+31.5%), Low $68.5 (-31.5%).
- Interpretation: Pure volatility-based range, no directional bias—ideal for straddle options or range trading.
In real use, test on historical data: e.g., if past projections captured actual moves ~68% of the time (1 standard deviation for ATR), it validates the volatility assumption. Adjust the lookback for different assets (shorter for volatile cryptos, longer for stable blue-chips).
Meta-LR Forecast v2Meta-LR Forecast is a tool that helps visualize whether the market is acting more like a trend (moving strongly in one direction) or more like a range (sideways/mean-reverting). It is designed to give context, not to generate buy or sell signals.
The script looks at multiple timeframes at once (for example minutes, hours, days, or weeks depending on your chart) and projects where price could go if each timeframe’s “bias” plays out. These projected points are then drawn ahead of current price.
Each timeframe’s bias is based on how straight and consistent the recent move has been (Directional Efficiency), combined with how well a line fits that move (R²). Together these form a “Bias %.” Higher positive values suggest upward pressure, higher negative values suggest downward pressure, and values near zero suggest indecision or chop.
A logistic blend adjusts between trend-following and range/anti-trend behavior. When the market shows strong direction, the forecast leans more toward trend; when it’s choppy or moving sideways, the forecast leans more toward range. In some conditions, a counter-trend (anti-trend) adjustment is allowed, but only when volatility and efficiency fall within certain thresholds.
ATR (Average True Range) is used to normalize everything, so the indicator adapts to different symbols and volatility levels. This way, the projection size is expressed in “Bias × ATR” units added to current price, making the forecasts scale appropriately across assets.
The projected points are spaced in time according to the real length of their timeframe. For example, a 1-day projection will be drawn farther away on the chart than a 15-minute projection. This makes the forward path visually match the true horizon of each timeframe.
The top-right table shows “Meta Bias %,” which is the overall bias calculated from all selected timeframe projections chained together. Positive Meta Bias means the combined path leans upward, negative means downward, and values close to zero mean mixed conditions.
How to use it: treat the Meta Bias % and polyline as context. If the forecast path is stacked upward with a strong positive Meta Bias, it suggests supportive conditions. If it stacks downward with a strong negative Meta Bias, it suggests pressure. If it alternates up and down and the bias hovers near zero, conditions may be indecisive. Always confirm with your own analysis before acting.
Important limitations: this tool is educational and for visualization only. It does not give entry or exit signals, and it does not guarantee profitable outcomes. Higher-timeframe values can change until that bar closes, so the display may adjust in real time. Market shocks, news events, and low liquidity conditions are not modeled.
Good practice: combine this indicator with your own trading plan, structure analysis, and risk management. Backtest responsibly in a simulator before using it live. Adjust inputs to fit your symbol and timeframe.
Compliance note: this script does not claim to be a “holy grail” or promise guaranteed results. It is not financial advice. It is meant to help traders better visualize context and market behavior. Use it as one part of a broader decision-making process.
MCDX Plus - Leading Banker with RSIUnderstanding the Indicator
Core Components:
Red Bars (Banker): Represent institutional momentum, turning red when RSI_Banker ≥ BankerMA. Early build (blue background) signals accumulation.
Yellow Bars (Hot Money): Speculative activity, secondary confirmation.
Green Bars (Retailer): Inverse top layer, high values (>15) with lime background indicate retail overextension—sell signal.
Blue Line (Banker MA), Orange Line (Hot Money MA), Green Line (Retailer MA): Hull Moving Averages (20-period) for smoothed trends.
White Dashed Line (Forecast RSI): Projects Banker RSI 3-5 bars ahead.
Labels: "Bull Div - Early Buy" (divergence), "Oversold - Watch for Entry" (Stochastic RSI <20 crossover).
Leading Features:
RSI Divergence: Hidden bullish divergence flags early reversals.
Stochastic RSI: Oversold (<20) with crossover predicts pre-run entries.
Forecast Line: Guides ahead-of-curve entries.
Filters: MTF (set to "D" or "W"), priceEMA (200-period) confirms trend.
Trading Strategy
1. Pre-Market Setup (Daily Chart)
Timeframe: Use daily for swing (1-4 weeks), weekly for positional (months).
MTF Setting: Set mtfTimeframe to "W" on daily chart for weekly trend confirmation—ensures signals align with broader moves.
Chart Prep: Overlay priceEMA (200) and volume—buy above EMA, confirm with volume spikes.
Review: Check past runs to calibrate expectations.
2. Entry Timing (Catch the Big Run Early)
Signal:
"Bull Div - Early Buy" label + oversoldSignal ("Oversold - Watch for Entry") + forecastRsi >5.
Confirm with Golden Cross (Banker MA > Retailer MA) + price > priceEMA + volume > volMA.
Pro Action:
Enter 25% position on divergence/oversold signal, add 25% on Golden Cross, 50% if red bars hit 10.
Example: If divergence appears at 12.0 with forecast >5, buy; add on cross to 12.5.
Stop-Loss: 2-3% below recent low or priceEMA, tightened after 5% gain.
Target: 15-20% or red bars >15, exit partial at 10% gain.
3. Exit Timing (Lock Profits)
Signal:
Dead Cross (Banker MA < Retailer MA) + green bars >15 + price < priceEMA + oversoldSignal (lagging).
Pro Action:
Exit 25% on Dead Cross, 50% if green bars >15, full exit on price < priceEMA.
Trail stop at priceEMA or 1% below recent high.
Example: If Dead Cross hits at 14.0 with green >15, sell incrementally, locking 10-15% gains.
Re-Entry: Watch for new "Bull Div" on pullbacks.
4. Leverage Leading Signals
Divergence: Enter on "Bull Div" during downtrends—catches 70-80% of reversals per backtests.
Oversold: Use as pre-entry alert, buy on crossover confirmation.
Forecast: Buy if forecast Rsi crosses 5 upward—anticipates red bar growth 3-5 bars out.
5. Risk Management (Pro-Level)
Position Sizing: Risk 0.5-1% per trade, scale in/out based on red bar levels (5-15).
Stop-Loss: Dynamic—below swing low or trailing 2% below priceEMA.
Take-Profit: Scale out at 5%, 10%, 15% gains or when forecastRsi drops below 5.
Risk-Reward: Aim for 1:3, validated by backtesting
6. Volume and Context
Volume Spike: Enter only if volume > volMA during divergence/Golden Cross—signals institutional intent.
Market Trend: In bull markets, prioritize entries; in bear, use Dead Cross exits.
Fixed GridThis Grid Indicator gives you full control.
You can configure it as you wish. If you need adjustments just comment.
Big thanks to Johnny Rakete und Dominik Busch.
Wish you all the best.
Chanpreet RSI(3) Extreme Rays (4H, Adjustable Style)Chanpreet RSI(3) Extreme Rays (4H)
This indicator applies a short-length RSI (3) on the 4-hour timeframe and highlights momentum extremes directly on the chart.
🔎 What it does
Detects when RSI(3) moves into overbought (>80) or oversold (<20) territory.
Groups consecutive candles inside these zones into one “event” instead of marking each bar individually.
For each event:
• In overbought → records the highest high of the stretch and marks it with a horizontal ray.
• In oversold → records the lowest low of the stretch and marks it with a horizontal ray.
Keeps only the most recent N rays (default 5, adjustable).
⚙️ Inputs
Max Rays to Keep → how many unique events are kept visible.
Ray Thickness → adjust line thickness.
Overbought Ray Color → default red.
Oversold Ray Color → default green.
📈 How to use
Apply on any chart; RSI(3) values are always calculated from 4H data (via request.security).
Use rays as reference levels that highlight recent momentum extremes or exhaustion zones.
This is not a buy/sell signal by itself — combine with your own analysis, confirmation tools, and risk management.
Best Recommended time frame is 5 mins, 10 mins & 15 mins for intraday trading.
🧩 Unique features
Groups multiple bars into a single clean ray, reducing clutter.
Uses 4H RSI(3) regardless of the chart’s active timeframe.
Fully customizable appearance (colors, thickness, max events).
⚠️ Disclaimer
This script is provided for educational and informational purposes only.
It does not constitute financial advice or guarantee performance.
Always test thoroughly and use proper risk management before trading live.
NQ Open Playbook (with Toggles)marks out asain,london.ny high and lows on 4h,1h,15m simple little stradGY FOER BEGINERS TO GET A FEEL FOR THE MARKET.
Full Candle Higher/Lower (No Repeats)🔎 What the Script Does (Pine Script v6)
Keeps track of the last signal
Uses a persistent variable lastSignal (initialized once as "none").
Ensures that if a signal repeats consecutively, it won’t be triggered again.
Defines the conditions for a “Higher” or “Lower” candle sequence
Higher condition:
Current close > previous high, AND previous low ≤ the high of two bars ago.
→ This means the candle has fully broken higher.
Lower condition:
Current close < previous low, AND previous high ≥ the low of two bars ago.
→ This means the candle has fully broken lower.
Checks for new signals only
If a candle meets the condition and the last signal wasn’t the same, a new signal is triggered.
Updates lastSignal to prevent repeats.
Plots labels/arrows
A “Higher” signal shows a green label below the bar.
A “Lower” signal shows a red label above the bar.
Sets alerts
So you can be notified in TradingView whenever a “Higher” or “Lower” flag is detected.
📊 Trading Logic in Words
The indicator is looking for full candle breakouts.
If a candle closes above the previous high (with some confirmation from older bars), it flags it as a “Higher” signal.
If a candle closes below the previous low (with similar confirmation), it flags it as a “Lower” signal.
It avoids duplicate consecutive signals by remembering what the last one was.
✅ Why It’s Useful
Helps traders spot momentum continuation candles (strong push candles).
Reduces noise by not repeating the same signal multiple times in a row.
Works like a breakout detector that tells you when the market is making a new leg up or new leg down.
Snehal Desai's Nifty Predictor This script will let you know all major indicator's current position and using AI predict what is going to happen nxt. for any quetions you can mail me at snehaldesai37@gmail.com. for benifit of all.
Trajectory Channel (VWAP Highs/Lows) [Euler-Inspired]VPWA higha nd low Euler trajectory inspired script
CF Cycle Low Projection V2Overview
This indicator helps traders analyze repeating market cycles by detecting significant pivot lows and projecting when the next cycle low may occur. It provides timing context to support decision-making but does not generate direct buy/sell signals.
How it works
Pivot detection : Confirms swing lows using left/right bars. Filters (minimum % move and optional ATR separation) ensure only meaningful lows are counted.
Cycle averaging : Calculates the average interval (and standard deviation) between recent pivot lows.
Projection : Adds the average interval to the last pivot low to forecast the next potential cycle low. If that point lies in the past, the script rolls forward until the projection is in the future.
Timing window : A shaded area around the ETA is drawn, based on either standard deviation or a percentage of the average, showing when a low is statistically more likely to occur.
Visualization:
• Vertical line = projected cycle low
• Shaded box = timing window
• Label = countdown in weeks/days/hours
• HUD = status, ETA, intervals used
How to use
Select your preferred timeframe (works on intraday and higher).
Allow pivots to accumulate; once the HUD shows Status: OK, projections will appear.
Use the ETA line and timing window together with structure, liquidity levels, and support/resistance zones.
Combine with your own strategy and risk management rules.
Notes
Works on any market supported by TradingView (crypto, stocks, forex, indices).
Filters can be adjusted to reduce noise (e.g., increase % move or ATR multiplier).
This tool is designed for cycle timing analysis only. It does not predict exact prices or guarantee outcomes.
Some traders refer to this approach as “camel cycle trading,” but here it is implemented as a pivot-based cycle projection tool.
Stop Loss vs Take Profit Probability and EVThis stop loss and take profit calculator uses a Monte Carlo simulation to calculate the probability of hitting your Stop Loss or Take Profit levels across different time horizons (expressed in bars).
It provides data-driven insights to optimize your risk management and position sizing by showing Expected Value for each scenario.
As a quant, I love using statistical data to help my decisions and get better EV from my trades.
🔬 How It's Calculated
Monte Carlo Simulation: Runs 1,000-10,000 price simulations using a random walk model
Volatility Analysis: Combines ATR-based and Historical Volatility for accurate price movement modeling
Expected Value: Calculates profit/loss expectation using formula: (TP_Probability × Reward) - (SL_Probability × Risk)
Time Horizons: Tests multiple timeframes (1, 5, 10, 20, 50 bars) to find optimal holding periods
Risk/Reward Ratios: Automatically calculates and displays R:R ratios for quick assessment
💡 Use Cases
Position Sizing - Determine optimal risk per trade based on Expected Value
Time Horizon Optimization - Find the best holding period for your strategy
Stop Loss Placement - Validate SL levels using probability analysis
Take Profit Optimization - Set TP levels with statistical backing
Strategy Backtesting - Compare different R:R setups before entering trades
Risk Management - Avoid trades with negative Expected Value
Swing vs Day Trading - Choose timeframes with highest success probability
🎯 How to Use
Setup Trade: Enter your entry price, stop loss, and take profit levels
You can add or remove time horizons denominated in bars. Say you are looking at 1h candles, adding a 24-bar time horizon means you are looking into 24 hours
Choose Direction: Select Long or Short position
Review Table
Analyze Expected Value: Focus on positive EV scenarios (green background)
Optimize Timing: Select time horizons with best risk/reward profile
Adjust Parameters: Modify volatility calculation method and simulation count if needed
Examples
Here's how you can read the tables.
Example 1:
In this chart, we are analyzing the TP and SL probabilities as well as the EV (expected value) for a stock. I want to check what the likelihood is that my SL and TP get triggered over the next 5 days. The stock market is open for 6.5 hours per day, which is 13 bars in this 30-minute bar chart. 26 bars is 2 days, 39 bars is 3 days and so on.
Although this trade is more likely to trigger my SL than my TP, in some of the time horizons we have a positive expected value because of the risk/reward of our trade (i.e. distance of the SL and TP from the price) and the probability of hitting SL and TP.
Example 2:
In this example, we have applied the indicator to gold. Because the TP is much closer to the price, the probability of hitting the TP is much higher.
We can also observe that the expected Value in the shorter time frames is better than in the longer ones. This can give us some clues to set up our trade. If we know that the EV is positive, we can allocate more to that specific trade.
Enjoy, and please let me know your feedback! 😊🥂
FxAST Lite Wave — Universal (Profiles: Intraday / Swing)FxAST-LW Universal (Profiles)
The FxAST Lite Wave – Universal strategy is designed for adaptability across markets and timeframes, with two ready-to-use profiles:
Intraday (5m–1H) → tuned for futures & FX scalps/day trades. Includes session filters, ATR volatility regimes, and impulse confirmation to reduce chop.
Swing (1D–3D) → tuned for swing positions. Uses relaxed impulse filters, slope + bias confirmation, and DI-spread to capture bigger moves.
Key features:
✅ Multi-EMA Lite Wave core (5/13/62/200)
✅ Regime filter via DI-spread (trend vs chop)
✅ EMA200 slope filter
✅ Optional HTF bias confirmation
✅ ATR-based stops, breakeven & trailing logic
✅ Time-stop exits to avoid capital stagnation
✅ Risk % position sizing
Usage:
Switch between Intraday and Swing modes via the Profile input. Adjust DI-spread, slope, and impulse thresholds per symbol. Sessions recommended ON for indices (NQ/ES/RTY) and OFF for FX.
⚠️ Disclaimer: This script is for research & educational purposes only. Not financial advice. Test extensively before applying live. Past performance does not guarantee future results.
© FxAST
Stock Scoring SystemThe EMA Scoring System is designed to help traders quickly assess market trend strength and decide portfolio allocation. It compares price vs. key EMAs (21, 50, 100) and also checks the relative strength between EMAs. Based on these conditions, it assigns a score (-6 to +6) and a corresponding allocation percentage.
+6 Score = 100% allocation (strong bullish trend)
-6 Score = 10% allocation (strong bearish trend)
Scores in between represent intermediate trend strength.
📌 Key Features
✅ Scoring Model: Evaluates price vs. EMA alignment and EMA cross relationships.
✅ Allocation % Display: Converts score into suggested portfolio allocation.
✅ Background Highlighting: Green shades for bullish conditions, red shades for bearish.
✅ Customizable Table Position: Choose between Top Right, Top Center, Bottom Right, or Bottom Center.
✅ Toggleable EMAs: Show/Hide 21 EMA, 50 EMA, and 100 EMA directly from indicator settings.
✅ Simple & Intuitive: One glance at the chart tells you trend strength and suggested allocation.
📈 How It Works
Score Calculation:
Price above an EMA = +1, below = -1
Faster EMA above slower EMA = +1, else -1
Maximum score = +6, minimum = -6
Allocation Mapping:
+6 → 100% allocation
+4 to +5 → 100% allocation
+2 to +3 → 75% allocation
0 to +1 → 50% allocation
-1 to -2 → 30% allocation
-3 to -4 → 20% allocation
-5 to -6 → 10% allocation
Visual Output:
Table shows SCORE + Allocation %
Background color shifts with score (green for bullish, red for bearish)
⚠️ Disclaimer
This indicator is for educational purposes only. It does not constitute financial advice. Always backtest and combine with your own analysis before making trading decisions.
Cyclic Reversal Engine [AlgoPoint]Overview
Most indicators focus on price and momentum, but they often ignore a critical third dimension: time. Markets move in rhythmic cycles of expansion and contraction, but these cycles are not fixed; they speed up in trending markets and slow down in choppy conditions.
The Cyclic Reversal Engine is an advanced analytical tool designed to decode this rhythm. Instead of relying on static, lagging formulas, this indicator learns from past market behavior to anticipate when the current trend is statistically likely to reach its exhaustion point, providing high-probability reversal signals.
It achieves this by combining a sophisticated time analysis with a robust price-action confirmation.
How It Works: The Core Logic
The indicator operates on a multi-stage process to identify potential turning points in the market.
1. Market Regime Analysis (The Brain): Before analyzing any cycles, the indicator first diagnoses the current "personality" of the market. Using a combination of the ADX, Choppiness Index, and RSI, it classifies the market into one of three primary regimes:
- Trending: Strong, directional movement.
- Ranging: Sideways, non-directional chop.
- Reversal: An over-extended state (overbought/oversold) where a turn is imminent.
2. Adaptive Cycle Learning (The "Machine Learning" Aspect): This is the indicator's smartest feature. It constantly analyzes past cycles by measuring the bar-count between significant swing highs and swing lows. Crucially, it learns the average cycle duration for each specific market regime. For example, it learns that "in a strong trending market, a new swing low tends to occur every 35 bars," while "in a ranging market, this extends to 60 bars."
3. The Countdown & Timing Signal: The indicator identifies the last major swing high or low and starts a bar-by-bar countdown. Based on the current market regime, it selects the appropriate learned cycle length from its memory. When the bar count approaches this adaptive target, the indicator determines that a reversal is "due" from a timing perspective.
4. Price Confirmation (The Trigger): A signal is never generated based on timing alone. Once the timing condition is met (the cycle is "due"), the indicator waits for a final price-action confirmation. The default confirmation is the RSI entering an extreme overbought or oversold zone, signaling momentum exhaustion. The signal is only triggered when Time + Price Confirmation align.
How to Use This Indicator
- The Dashboard: The panel in the bottom-right corner is your command center.
- Market Regime: Shows the current market personality analyzed by the engine.
- Adaptive Cycle / Bar Count: This is the core of the indicator. It shows the target cycle length for the current regime (e.g., 50) and the current bar count since the last swing point (e.g., 45). The background turns orange when the bar count enters the "due zone," indicating that you should be on high alert for a reversal.
- BUY/SELL Signals: A label appears on the chart only when the two primary conditions are met:
The timing is right (Bar Count has reached the Adaptive Cycle target).
The price confirms exhaustion (RSI is in an extreme zone).
A BUY signal suggests a downtrend cycle is likely complete, and a SELL signal suggests an uptrend cycle is likely complete.
Key Settings
- Pivot Lookback: Controls the sensitivity of the swing point detection. Higher values will identify more significant, longer-term cycles.
- Market Regime Engine: The ADX, Choppiness, and RSI settings can be fine-tuned to adjust how the indicator classifies the market's personality.
- Require Price Confirmation: You can toggle the RSI confirmation on or off. It is highly recommended to keep it enabled for higher-quality signals.
BTC 1D — Trend START/END Signals (clean, no repaint)
This strategy is designed primarily for BTC on the daily (1D) timeframe in TradingView.
BUY (start of uptrend)
Fast EMA is above Slow EMA.
Price breaks above the previous Donchian high.
Optional filters (if enabled): volume surge and strong momentum/RSI.
Only one BUY per uptrend—no additional buys until a SELL occurs.
SELL (end of uptrend)
Price falls below the previous Donchian low, or
Price drops below the Slow EMA, or
Momentum flips bearish (DI− > DI+ or RSI ≤ threshold).
One SELL marks the end of the uptrend.
Sinyal Gabungan Lengkap (TWAP + Vol + Waktu)Sinyal Gabungan Lengkap (TWAP + Vol + Waktu) volume btc dan total3 dan ema
🟥 Synthetic 10Y Real Yield (US10Y - Breakeven)This script calculates and plots a synthetic U.S. 10-Year Real Yield by subtracting the 10-Year Breakeven Inflation Rate (USGGBE10) from the nominal 10-Year Treasury Yield (US10Y).
Real yields are a core macro driver for gold, crypto, growth stocks, and bond pricing, and are closely monitored by institutional traders.
The script includes key reference lines:
0% = Below zero = deeply accommodative regime
1.5% = Common threshold used by macro desks to evaluate gold upside breakout conditions
📈 Use this to monitor macro shifts in real-time and front-run capital flows during major CPI, NFP, and Fed events.
Update Frequency: Daily (based on Treasury market data)
Spiderlines BTCUSD - daily/weekly📘 Documentation – Daily and Weekly Spider Lines for Bitcoin
🔹 Purpose of the Script
This script draws dynamic “Spider Lines” in the Bitcoin chart.
The lines connect certain historical candles with a reference candle and extend to the right.
These act as guideline levels that can serve as potential support or resistance zones.
🔹 How It Works
The script operates in two modes, depending on the active chart timeframe:
Weekly Mode (timeframe.isweekly)
The reference date is July 1, 2019.
The number of weeks since that date is calculated.
This defines the connection candle (connection_candle).
Several predefined offsets (e.g., +32, +34, +36 …) are added to the reference to determine starting candles.
Lines are drawn from these candles toward the connection candle.
→ Line color: green
Daily Mode (timeframe.isdaily)
Same reference date: July 1, 2019.
The number of days since that date is calculated.
Again, a connection candle is set.
A different set of offsets (e.g., +224, +238, +252 …) defines the starting candles.
Lines are drawn accordingly.
→ Line color: red
🔹 Line Logic
Each line connects:
Start → bar_index at high
End → bar_index at close
Lines are extended indefinitely to the right (extend.right).
Appearance: dashed style, width 2.
🔹 Error Handling
If a calculated candle index does not exist in the chart history (e.g., chart data does not go back far enough),
a label is plotted in the chart showing the message:
"Daily idx out of range: 252"
This way, missing lines can be diagnosed easily.
🔹 Color Convention
Weekly Spider Lines → Green
Daily Spider Lines → Red
🔹 Use Cases
Visualization of historical cyclic line patterns.
Helps in technical chart analysis: spotting potential reaction zones in price movement.
Designed mainly for long-term traders and analysts observing Bitcoin in Daily or Weekly timeframes.
🔹 Limitations
Works only on Daily and Weekly charts.
Requires chart data going back to July 1, 2019.
Based purely on fixed offsets → not a classical indicator like Moving Averages or RSI.
Analyst Targets ProbabilityThis indicator calculates the probability of the current stock price reaching or exceeding the analyst-provided high, average, and low price targets within a one-year time horizon. It utilizes a geometric Brownian motion (GBM) model, a standard approach in financial modeling that assumes log-normal price distribution with constant volatility.
### Key Features:
- **Analyst Targets**: Automatically pulls the high, average, and low one-year price targets from TradingView's syminfo data.
- **Risk-Free Rate**: Fetched from the 1-year US Treasury yield (symbol: TVC:US01Y). Defaults to 4% if unavailable.
- **Dividend Yield**: Uses trailing twelve-month (TTM) dividends per share (DPS) from financial data, divided by current price. Defaults to 0% if unavailable.
- **Volatility**: Computed as annualized historical volatility based on 252 trading days of daily log returns. Falls back to a 20-day period if insufficient data, or defaults to 30% if still unavailable.
- **Probability Calculation**: Employs the barrier hitting probability formula under GBM:
- Drift (μ) = risk-free rate - dividend yield - (volatility² / 2)
- The formula for probability P of hitting target H from current price S₀ over time T is:
P = Φ(d₊) + (H / S₀)^p ⋅ Φ(d₋) for H > S₀ (or adjusted for H < S₀)
Where l = ln(max(H, S₀)/min(H, S₀)), ν = drift, p = -2ν / σ², d₊ = (-l + νT) / (σ√T), d₋ = (-l - νT) / (σ√T), and Φ is the standard normal CDF (approximated using a polynomial method for accuracy).
- **Output Display**: A table in the top-right corner shows each target type, its value, and the estimated probability (as a percentage). "N/A" appears if data is unavailable or calculations cannot proceed (e.g., zero volatility).
### Assumptions and Limitations:
- Assumes constant volatility and drift, no transaction costs, and continuous trading (real markets may deviate due to jumps, news events, or changing conditions).
- Probabilities are model-based estimates and not guarantees; they represent the likelihood under risk-neutral measure.
- Best suited for stocks with available analyst targets and historical data; may default to assumptions for less-liquid symbols.
- No user inputs required—fully automated using TradingView's data sources.
This script is provided under the Mozilla Public License 2.0. For educational and informational purposes only; not financial advice. Test on your charts and consider backtesting for validation.
