Power Balance ForecasterHey trader buddy! Remember the old IBM 5150 on Wall Street back in the 80s? :) Well, I wanted to pay tribute to it with this retro-style code when MS DOS and CRT screens were the cutting edge of technology...
Analysis of the balance of power between buyers and sellers with price predictions
What This Indicator Does
The Power Balance Forecaster indicator analyzes the relationship between buyer and seller strength to predict future price movements. Here's what it does in detail:
Main Features:
Power Balance Analysis: Calculates real-time percentage of buyer power vs seller power
Price Predictions: Estimates next closing level based on current momentum
Market State Detection: Identifies 5 different market conditions
Visual Signals: Shows directional arrows and price targets
How the Trading Logic Works
Power Balance Calculation:
Analyzes Consecutive Bars - Counts consecutive bullish and bearish bars
Calculates Momentum - Uses ATR-normalized momentum to measure trend strength
Determines Market State - Assigns one of 5 market states based on conditions
Market States:
Bull Control: Strong uptrend (75% buyer power)
Bear Control: Strong downtrend (75% seller power)
Buying Pressure: Bullish pressure (65% buyer power)
Selling Pressure: Bearish pressure (65% seller power)
Balance Area: Market in equilibrium (50/50)
Prediction System:
Bullish Condition: Buyer power > 55% + Positive momentum = Bullish prediction
Bearish Condition: Seller power > 55% + Negative momentum = Bearish prediction
Price Target: Based on ATR multiplied by timeframe factor
Configurable Parameters:
Analysis Sensitivity (5-50): Controls how responsive the indicator is
Low values (5-15): More sensitive, ideal for scalping
High values (30-50): More stable, ideal for swing trading
Table Position: Choose from 9 positions to display the data table
Trading Signals:
Green Triangle ▲: Bullish signal, price expected to increase
Green Triangle ▼: Bearish signal, price expected to decrease
Dashed Line: Shows the price target projection
Label: Displays the exact target value
Recommended Timeframes:
Lower Timeframes (1-15 minutes):
Sensitivity: 10-20
Automatic Low TF mode
Higher Timeframes (1 hour - 1 day):
Sensitivity: 25-40
Automatic High TF mode
Important Notes:
Always use this indicator in combination with:
Market context analysis
Proper risk management
Confirmation from other indicators
Mandatory stop losses
The indicator works best in trending markets and may be less effective during extreme consolidation periods.
Tìm kiếm tập lệnh với "西班牙人VS奥萨苏纳"
[Asian Range + Sweeps]Main Features
Asian Range (S2) — fully configurable session band (start/end, hour:minute) with automatic detection and visual high/low markers.
HOD/LOD (S1) — adaptive cutoff logic for Forex vs Indices, with optional manual override.
Gap Correction — optional true HOD/LOD detection using a 1-minute base with overnight gap adjustment.
Sweep Detection — real-time alerts for S1 and S2 sweeps, with independent cooldown control to avoid duplicate signals.
Visual Controls — customizable colors, line thickness, and transparency.
KeepDays Setting — allows you to manage how many past session drawings are preserved on the chart
celenni//@version=6
strategy("Cruce SMA 5/20 – v6 (const TF, gap en puntos SOLO cortos, next bar open, 1 trade/ventana, anti-flip)",
overlay = true,
initial_capital = 10000,
default_qty_type = strategy.percent_of_equity,
default_qty_value = 10,
pyramiding = 0)
// === CONSTANTES ===
const string TF = "15" // fija el timeframe de cálculo (ej. "5","15","30","60","120","240","D")
const string SYM_ALLOWED = "QQQ" // símbolo permitido
// === Inputs ===
confirmOnClose = input.bool(true, "Confirmar señal al cierre (evita repaint)")
maxGapPtsShort = input.float(0.50, "Máx gap permitido en CORTOS (puntos)", 0.0, 1e6)
lenFast = input.int(5, "SMA rápida", 1)
lenSlow = input.int(20, "SMA lenta", 2)
tpPts = input.float(20.0, "Take Profit (puntos)", 0.01)
slPts = input.float(5.0, "Stop Loss (puntos)", 0.01)
// Ventanas (NY)
useSessions = input.bool(true, "Usar ventanas NY")
sess1 = input.session("1000-1130", "Ventana 1 (NY)")
sess2 = input.session("1330-1600", "Ventana 2 (NY)")
flatOutside = input.bool(true, "Cerrar posición al salir de la ventana")
// === Utilidades ===
isAllowedSymbol() =>
(syminfo.ticker == SYM_ALLOWED) or str.contains(str.upper(syminfo.ticker), str.upper(SYM_ALLOWED))
// === Series MTF (cálculo en TF) ===
closeTF = request.security(syminfo.tickerid, TF, close, barmerge.gaps_off, barmerge.lookahead_off)
smaFast = ta.sma(closeTF, lenFast)
smaSlow = ta.sma(closeTF, lenSlow)
// Señales MTF sin repaint
longSignalTF = request.security(syminfo.tickerid, TF,
ta.crossover(ta.sma(close, lenFast), ta.sma(close, lenSlow)),
barmerge.gaps_off, barmerge.lookahead_off)
shortSignalTF = request.security(syminfo.tickerid, TF,
ta.crossunder(ta.sma(close, lenFast), ta.sma(close, lenSlow)),
barmerge.gaps_off, barmerge.lookahead_off)
// === Sesiones (evaluadas en el TF del gráfico, zona NY) ===
inSess1 = useSessions ? not na(time(timeframe.period, sess1, "America/New_York")) : true
inSess2 = useSessions ? not na(time(timeframe.period, sess2, "America/New_York")) : true
inSession = inSess1 or inSess2
// Inicio de ventanas y contadores (1 trade por ventana)
var bool wasIn1 = false, wasIn2 = false
win1Start = inSess1 and not wasIn1
win2Start = inSess2 and not wasIn2
wasIn1 := inSess1
wasIn2 := inSess2
var int tradesWin1 = 0, tradesWin2 = 0
if win1Start
tradesWin1 := 0
if win2Start
tradesWin2 := 0
justOpened = strategy.position_size != 0 and strategy.position_size == 0
if justOpened
if inSess1
tradesWin1 += 1
if inSess2
tradesWin2 += 1
canTakeMore =
(inSess1 and tradesWin1 < 1) or
(inSess2 and tradesWin2 < 1) or
(not useSessions)
// === Filtro NO-GAP SOLO para CORTOS (en PUNTOS) ===
// Compara OPEN actual vs CLOSE previo; se evalúa en la barra donde se EJECUTA (apertura actual).
gapPts = math.abs(open - close )
shortGapOK = maxGapPtsShort <= 0 ? true : (gapPts <= maxGapPtsShort)
// === Anti-flip y gating ===
isFlat = strategy.position_size == 0
canSignal = (not confirmOnClose or barstate.isconfirmed)
canTrade = isAllowedSymbol() and inSession and canTakeMore and canSignal
// === ENTRADAS (se colocan al cierre; se llenan en la apertura siguiente) ===
// Largos: sin filtro de gap
if canTrade and isFlat and longSignalTF
strategy.entry("Long", strategy.long)
// Cortos: requieren shortGapOK
if canTrade and isFlat and shortSignalTF and shortGapOK
strategy.entry("Short", strategy.short)
// === TP/SL en puntos ===
if strategy.position_size > 0
e = strategy.position_avg_price
strategy.exit("TP/SL Long", from_entry="Long", limit=e + tpPts, stop=e - slPts)
if strategy.position_size < 0
e = strategy.position_avg_price
strategy.exit("TP/SL Short", from_entry="Short", limit=e - tpPts, stop=e + slPts)
// === Cierre fuera de sesión ===
if flatOutside and not inSession and strategy.position_size != 0
strategy.close_all("Fuera de sesión")
// === Visual ===
plot(smaFast, color=color.new(color.teal, 0), title="SMA 5 ("+TF+")")
plot(smaSlow, color=color.new(color.orange, 0), title="SMA 20 ("+TF+")")
plotshape(longSignalTF and canTrade and isFlat, title="Compra", style=shape.triangleup,
location=location.belowbar, color=color.new(color.teal,0), size=size.tiny, text="Long")
plotshape(shortSignalTF and canTrade and isFlat and shortGapOK, title="Venta", style=shape.triangledown,
location=location.abovebar, color=color.new(color.red,0), size=size.tiny, text="Short")
SMC ORB vs Pre-Market SPY/IWMStacks institutional confluences such as Smart Money Concepts, Inner Circle Trading, volatility, and structure.
Plots Premarket high/low and 15 minute Opening range
Plots the first sweep of Premarket high/low and any subsequent orb breaks
SMC ORB vs PM ALPHADesigned to stack institutional confluences such as Smart Money Concepts, Inner Circle Trading, volatility, and market structure.
Plots pre-market high/low and 15 Opening Range.
Plots first sweep of Pre-market high/low as well as orb break/holds.
TP of Previous high/low & SL optional
Iron Condor & Butterfly VisualizerIt helps you visualize and manage your option spread by:
Plotting strike prices and breakeven lines directly on the chart.
Showing profit/loss zones, adjustment zones, and alerts when price nears critical levels.
Calculating risk/reward, probability of profit, theta decay, IV condition, and trade score.
🎯 2. Inputs & Configuration
You input your trade details as a comma-separated string:
For an Iron Condor
ShortCall, LongCall, ShortPut, LongPut, Credit, Contracts, Target%
Example: 626,628,620,618,1.20,1,30
For a Butterfly Spread
LowerWing, Body, UpperWing, Debit, Contracts, Target%
Example: 600,620,640,2.50,2,50
The indicator automatically parses this and knows which strategy type you selected.
You can also control:
Visuals (profit zones, breakevens, labels)
Risk (stop loss %, adjustment zones)
Account/risk sizing
Market conditions (IV Rank, current IV, DTE)
⚙️ 3. Data Parsing & Strategy Recognition
The code reads your pasted string, splits it by commas, and determines:
Which strikes are short vs long (or wings/body for Butterfly)
Whether the strategy is credit (Iron Condor) or debit (Butterfly)
Calculates net credit/debit, contract size, and profit target
📈 4. Profit/Loss Calculations
It dynamically calculates:
Max Profit
Iron Condor: net credit × 100 × contracts
Butterfly: (wing width − debit) × 100 × contracts
Max Loss
Iron Condor: difference between strikes minus credit
Butterfly: debit × 100 × contracts
Breakeven points
Iron Condor: short strikes ± net credit
Butterfly: body ± debit
Current P&L relative to the live price (close).
⚖️ 5. Risk & Position Sizing
It checks:
Stop-loss trigger (% of max loss)
Adjustment alert if price nears short strikes
Recommended contract size based on account size and % risk per trade
Actual % of account at risk
⏱️ 6. Time Decay & IV Analysis
If you input days to expiration, it shows:
Theta (approx daily time decay)
Decay progress bar (% of 30-day cycle)
IV condition:
Green: favorable (>50 IV Rank)
Yellow: neutral (30–50)
Red: poor (<30)
🧮 7. Trade Scoring
It gives a Trade Score (0–100) based on:
IV Rank (favorable market)
Risk/Reward ratio
Probability of profit
Default 20 baseline points
This helps gauge whether the setup is statistically attractive.
🧠 8. Visualizations
When the indicator runs, it draws on your chart:
Lines
Red = short strikes
Orange dashed = long strikes
Yellow dotted = breakeven levels
Boxes
Green = profit zone
Orange shaded = adjustment zones (approaching danger)
Labels (optional)
Strike labels (call/put prices)
Info box summarizing:
Profit, loss, risk/reward
Breakevens, theta, target, gamma risk flag
🚨 9. Alerts
The script triggers TradingView alerts when:
Price nears call or put adjustment zones
Profit target is hit
Stop loss is hit
These help you manage the trade without constant monitoring.
🧭 10. In Practice
You’d:
Copy the option strikes and trade details from your broker or analyzer.
Paste them into 📋 PASTE YOUR TRADE DATA HERE.
The indicator plots:
Profit/loss region
Adjustment warnings
Key metrics
Alerts if your trade is in danger or near target.
Local Hurst Slope [Dynamic Regime]1. HOW THE INDICATOR WORKS (Math → Market Edge)Step
Math
Market Intuition
1. Log-Returns
r_t = log(P_t / P_{t-1})
Removes scale, makes series stationary
2. R/S per τ
R = max(cum_dev) - min(cum_dev)
S = stdev(segment)
Measures memory strength over window τ
3. H(τ) = log(R/S) / log(τ)
Di Matteo (2007)
H > 0.5 → Trend memory
H < 0.5 → Mean-reversion
4. Slope = dH/d(log τ)
Linear regression of H vs log(τ)
Slope > 0.12 → Trend accelerating
Slope < -0.08 → Reversion emerging
LEADING EDGE: The slope changes 3–20 bars BEFORE price confirms
→ You enter before the crowd, exit before the trap
Slope > +0.12 + Strong Trend = Bullish = Long
Slope +0.05 to +0.12 = Weak Trend = Cautious = Hold/Trail
Slope -0.05 to +0.05 = Random = No Edge
Slope-0.08 to -0.05 = Weak Reversion = Bearish setup = Prepare Short
Slope < -0.08 = Strong Reversion = Bearish= Short
PRO TIPS
Only trade in direction of 200-day SMA
Filters false signals
Avoid trading 3 days before/after earnings
Volatility kills edge
Use on ETFs (SPY, QQQ)
Cleaner than single stocks
Combine with RSI(14)
RSI < 30 + Hurst short = nuclear reversal
TICK OscillatorOscillator that makes it easy to see when TICK is hitting extreme readings or establishing a bullish/bearish divergence vs the indices.
- Green coloration means a reading of >+400
- Red coloration means a reading of <-400
- Orange means a reading in between -400 and +400
This was inspired by John F Carter's book "Mastering The Trade", where I first learned about utilizing TICK in my trading.
Ethereum Sleepy Wallets – 6-Month DormancyWhat This Indicator Does
It measures how many Ethereum addresses have been completely inactive for at least 6 months (≥ 180 days) — using official Glassnode and CryptoQuant on-chain metrics.
This reveals deep conviction among long-term ETH holders
Core Concept: Direct 6-Month Dormancy
The indicator uses two precise on-chain signals:
Total Unique ETH Addresses
From GLASSNODE:ETH_ADDRESSES or CRYPTOQUANT:ETH_TOTAL_ADDRESSES
Counts every address ever used on Ethereum
Addresses Inactive ≥ 180 Days
From GLASSNODE:ETH_ADDRESSES_GREATER_THAN_180_DAYS
Counts every address that has not sent or received ETH in 6+ months
Sleepy ETH = Dormant ≥ 180 Days
Sleepy Ratio % = (Sleepy / Total) × 100
This is not an estimate — it’s direct, real dormancy.
Why 6-Month Dormancy Matters
Short-term activity (7-day) = noise from DeFi, NFTs, trading
180-day inactivity = true HODLing — coins untouched through entire market cycles
Historically:
Rising dormancy → supply drying up → bullish pressure
Falling dormancy → long-term holders selling → bearish warning
How It Works (Step-by-Step)
Fetches daily data from Glassnode (Pro+) or CryptoQuant (free)
Selects real data if available; otherwise uses robust fallback
Calculates raw sleepy wallets = addresses inactive ≥ 180 days
Smooths the signal with a 21-day simple moving average (SMA) to filter noise
Computes Sleepy Ratio % for instant conviction reading
Displays live info table with exact values on every bar
How to Use It
Signal
Interpretation
Suggested Action
Sleepy Ratio > 75% and rising
Extreme long-term HODLing
Strong accumulation — buy/hold
Smooth Sleepy trending up
Dormancy growing over 21 days
Bullish supply shock forming
Sleepy Ratio < 68% and falling
Long-term coins re-entering circulation
Caution — possible distribution
Smooth Sleepy dropping fast
HODLers breaking after 6+ months
Bearish warning — consider exits
Use on Daily (D) or Weekly (W) charts for clean, reliable signals.
Pro+ vs Free Mode
Mode
Data Source
Accuracy
Pro+ (Glassnode ON)
Real 180-day dormancy metric
100% precise
Free (Glassnode OFF)
CryptoQuant + price-scaled estimate
~80% historical correlation
Toggle in settings: Use Glassnode Data
What Makes This Indicator Original
First open-source script to directly plot Ethereum’s 6-month dormancy using official ADDRESSES_GREATER_THAN_180_DAYS
No fake math — uses true inactivity, not active address subtraction
Dual-source logic ensures usability on any TradingView plan
Dual output: raw sleepy count + 21-day SMA for precision and trend
Live info table shows real-time values and data source
Dynamic Liquidity HeatMap Profile [BigBeluga]🔵 OVERVIEW
The Dynamic Liquidity HeatMap Profile is a smart-flow liquidity tracker that maps where stop-loss clusters and resting limit orders are likely positioned.
Instead of traditional volume profiles based only on executed transactions, this tool projects probable liquidity pools — areas where traders are trapped or positioned and where smart money may hunt stops or fill orders.
It dynamically scans recent price swings, builds liquidity zones above and below price, and visualizes them as a heat map + histogram — highlighting areas with the greatest liquidity attraction.
Orange highlights the highest-concentration liquidity (POC), making potential sweep targets obvious.
🔵 CONCEPTS
Liquidity pools form above swing highs (buy stops) and below swing lows (sell stops).
Market makers & large players often push price into these zones to trigger stops and capture liquidity.
The indicator uses recent volatility + volume expansion to estimate where these pools exist.
Horizontal heat bars show depth and intensity of probable liquidity.
Profile side histogram displays buy-side vs sell-side liquidity distribution.
🔵 FEATURES
Dynamic Liquidity Detection — finds potential stop-loss clusters from recent swing behavior.
Dual-Side Heatmap — split liquidity view above (short stops) and below (long stops) current price.
Volume-Weighted Levels — higher volatility & volume = deeper liquidity expectation.
Real-Time Heat Coloring
• Lime = liquidity below price (potential buy-side fuel)
• Blue = liquidity above price (potential sell-side fuel)
• Orange = peak liquidity (POC)
Liquidity Profile Histogram — plotted at right side, layered by strength.
Auto-Cleaning Engine — removes invalidated liquidity after breaks.
Adjustable lookback window and bin resolution .
🔵 HOW TO USE
Look for price moving toward dense liquidity zones — high probability of wick raids or sweeps.
Orange POC often acts as magnet — strong target zone for smart money.
Combine with SFP / BOS logic to time reversals after liquidity hunts.
In trend, price repeatedly sweeps opposite-side liquidity before continuation.
Use liquidity walls as bias filters — heavy liquidity above often precedes downward move, and vice-versa.
Great for scalping sessions, indices, FX, BTC, ETH.
🔵 CONCLUSION
The Dynamic Liquidity HeatMap Profile gives traders a tactical edge by revealing where the market’s hidden liquidity resides.
It highlights where shorts and longs are positioned, identifies likely sweep zones, and marks the most attractive liquidity magnet (POC).
Use it to anticipate stop hunts, avoid getting trapped, and align with smart-money flow instead of fighting it.
BUY LOW, BUY MORE, SELL HIGH -BUFFET STRATEGY LITE__________________________________________________________________________
Buy Low, Buy More, Sell High With Buffett Meter (LITE – JTMarketAI)
__________________________________________________________________________
Category: Quantitative Momentum & Liquidity Flow
Author: JTMarketAI
Architecture: Non-Repainting
This strategy accumulates into validated pullbacks during fear cycles, scales intelligently as price declines into liquidity support, and exits when momentum weakens after meaningful run-ups. It uses synthetic higher-timeframe OHLC data (non-repainting), liquidity imbalance confirmation, adaptive KAMA trend logic, RSI validation, and a live Buffett macro valuation gauge.
This is a patient, conviction-based accumulation engine designed for equities.
It is not a scalp bot.
__________________________________________________________________________
Core Features
__________________________________________________________________________
Non-repainting (confirmed bars only)
Synthetic HTF OHLC (no lookahead)
Dynamic trailing exit preserves ~80–87% of peak profit
Bull vs Bear liquidity dominance and flow imbalance
Rolling lowest-low tracking (LLL)
NY-session alignment (default)
Buffett Macro Meter integration
Technical Highlights
Flow-confidence derived from volume-order pressure
Adaptive KAMA smoothing for lower-lag confirmation
Daily > Weekly > Monthly synthetic aggregation
LLL progression display for trend exhaustion
Fully profiler-optimized
Supports averaging down when pyramiding enabled
__________________________________________________________________________
Why It Does Not Repaint
__________________________________________________________________________
All state updates occur only on confirmed bars
Synthetic HTFs built without lookahead
Persistent arrays freeze historical values
Trailing highs updated only after confirmation
No forward-reference to future bars
__________________________________________________________________________
Lite Edition Notes
__________________________________________________________________________
Manual trading focused
Buffett Meter enabled
Up to 20 trades per session
Visual dashboard included
No alerts, automation, or webhooks (PRO unlocks IBKR + TradersPost)
__________________________________________________________________________
Limitations
__________________________________________________________________________
Best on intraday equities (1m–4h)
Designed for US stocks only
High-resource if full visuals enabled
Avoid penny stocks and extremely low-volume tickers
Does not guard against after-hours gaps or major news moves
__________________________________________________________________________
Warnings
__________________________________________________________________________
Contrarian scaling requires discipline and patience
Expect longer-duration trades, not rapid scalps
Use on quality tickers unlikely to permanently collapse
Confirm price behavior outside cash session
Test manually before automating anything
Not suitable for every market environment or asset
Notes on Philosophy
This strategy attempts to accumulate when markets overshoot lower, and distribute after recovery momentum fades. It reflects a patient, value-driven approach built on the principle of buying fear and reducing exposure into strength.
__________________________________________________________________________
Disclaimer
__________________________________________________________________________
For research and educational use only. Not financial advice. Past performance does not guarantee future results. Test thoroughly and use appropriate risk management.
__________________________________________________________________________
Hashtags
__________________________________________________________________________
#buffett #quantstrategy #valuemomentum #accumulation #contrarian #nonrepaint #equitystrategy #swingtrading #liquidityanalysis #synthetichtf #tradingviewstrategy
BUY LOW, BUY MORE, SELL HIGH - MARKET FLOW STRATEGY LITE
TV Description - Buffett Meter Lite
body{font-family:Arial,Helvetica,sans-serif;max-width:900px;margin:32px auto;line-height:1.4} h1,h2{margin:16px 0 8px}
Buy Low, Buy More, Sell High With Buffett Meter (Lite v1283 – JTM)
Category: Quantitative Momentum & Liquidity Flow
Author: JTM
Architecture: Non-Repainting
This strategy accumulates into validated pullbacks during fear cycles, scales intelligently as price declines into liquidity support, and exits when momentum weakens after meaningful run-ups. It uses synthetic higher-timeframe OHLC data (non-repainting), liquidity imbalance confirmation, adaptive KAMA trend logic, RSI validation, and a live Buffett macro valuation gauge.
This is a patient, conviction-based accumulation engine designed for equities.
It is not a scalp bot.
Core Features
Non-repainting (confirmed bars only)
Synthetic HTF OHLC (no lookahead)
Dynamic trailing exit preserves ~80–87% of peak profit
Bull vs Bear liquidity dominance and flow imbalance
Rolling lowest-low tracking (LLL)
NY-session alignment (default)
Buffett Macro Meter integration
Technical Highlights
Flow-confidence derived from volume-order pressure
Adaptive KAMA smoothing for lower-lag confirmation
Daily > Weekly > Monthly synthetic aggregation
LLL progression display for trend exhaustion
Fully profiler-optimized
Supports averaging down when pyramiding enabled
Why It Does Not Repaint
All state updates occur only on confirmed bars
Synthetic HTFs built without lookahead
Persistent arrays freeze historical values
Trailing highs updated only after confirmation
No forward-reference to future bars
Lite Edition Notes
Manual trading focused
Buffett Meter enabled
Limit of 20 trades per session
Buffet Meter dashboard included
No alerts, automation, or webhooks (PRO unlocks IBKR + TradersPost)
Limitations
Best on intraday equities (1m–4h)
Designed for US stocks only
High-resource if full visuals enabled
Avoid penny stocks and extremely low-volume tickers
Does not guard against after-hours gaps or major news moves
Warnings
Contrarian scaling requires discipline and patience
Expect longer-duration trades, not rapid scalps
Use on quality tickers unlikely to permanently collapse
Confirm price behavior outside cash session
Test manually before automating anything
Not suitable for every market environment or asset
Notes on Philosophy
This strategy attempts to accumulate when markets overshoot lower, and distribute after recovery momentum fades. It reflects a patient, value-driven approach built on the principle of buying fear and reducing exposure into strength.
This is edge-based, not “trade every wiggle” logic
“Be fearful when others are greedy, and greedy when others are fearful.” — Buffett
“The stock market transfers money from the impatient to the patient.” — Buffett
Disclaimer
For research and educational use only. Not financial advice. Past performance does not guarantee future results. Test thoroughly and use appropriate risk management.
Hashtags
#buffett #quantstrategy #valuemomentum #accumulation #contrarian #nonrepaint #equitystrategy #swingtrading #liquidityanalysis #synthetichtf #tradingviewstrategy
Monthly Color Marker V4
## 📊 Monthly Color Marker - Historical Month Highlighting
### Overview
A unique indicator that allows rapid identification of all monthly candles from a specific month across multiple years. The indicator marks candles with different colors based on their direction (bullish/bearish), enabling quick analysis of seasonal patterns and cyclical behavior of stocks or assets.
### 🎯 Purpose
- **Identify Seasonal Patterns (Seasonality)** - Discover recurring trends in specific months
- **Quick Historical Analysis** - Visual representation of monthly performance over the years
- **Direction Recognition** - Instant understanding of whether a month tends to be bullish or bearish
- **Seasonal Trading Planning** - Build strategies based on cyclical patterns
### ⚙️ Adjustable Parameters
1. **Month to Mark (1-12)**
- Select the desired month for analysis
- 1 = January, 2 = February... 12 = December
- Default: 11 (November)
2. **Years Back (1-50)**
- Determines how many years back to scan
- Recommended: 10-25 years for statistically reliable data
- Default: 25 years
3. **Bullish Candle Color**
- Color for marking bullish candles (close > open)
- Default: Green
- Customizable to your personal color scheme
4. **Bearish Candle Color**
- Color for marking bearish candles (close < open)
- Default: Red
- Customizable to your personal color scheme
5. **Show Current Year**
- Whether to include the current month in the marking
- Useful when the month hasn't finished yet
- Default: Yes
### 📈 How to Use the Indicator
#### Step 1: Adding to Chart
1. Switch to **Monthly timeframe** - Required!
2. Add the indicator to your chart
3. Select the month you want to analyze
#### Step 2: Initial Analysis
- **Count green vs red candles** - What's the ratio?
- **Look for patterns** - Are there years where the month always rises/falls?
- **Identify outliers** - Years where behavior was different
#### Step 3: Making Decisions
- **Mostly green** → Statistically, the month tends to rise
- **Mostly red** → Statistically, the month tends to fall
- **Mixed** → No clear seasonal pattern
### 💡 Usage Examples
**Example 1: "Santa Claus Rally"**
- Select month 12 (December)
- Check if there are mostly green candles
- If yes, this confirms the well-known year-end rally effect
**Example 2: "September Effect"**
- Select month 9 (September)
- Historically, September is considered a weak month
- Do the data support this for this stock?
**Example 3: Quarterly Earnings**
- Identify which month earnings are released
- Check the historical response
- Plan entry/exit accordingly
### 🔍 Combining with Other Indicators
This indicator works excellently with:
- **Historical Monthly Levels** (the first indicator) - Identify nearby price levels
- **Volume Profile** - Check volume during those months
- **RSI/MACD** - Identify momentum strength in specific months
### ⚠️ Important Notes
1. **Must use Monthly timeframe!** The indicator won't work correctly on other timeframes
2. **Statistical Sample** - More years = more reliable analysis
3. **Not a Guarantee** - Past performance doesn't guarantee future results, use additional analysis
4. **Adjust Colors** - If hard to see, change colors in settings
### 🎨 Tips for Optimal Experience
- **Zoom Out** - See more years at a glance
- **Clean Chart** - Remove unnecessary indicators for clear analysis
- **Compare Stocks** - Check multiple stocks for the same month
- **Document Findings** - Take screenshots and save insights for future reference
### 📊 Recommended Statistics
After identifying an interesting month:
- Calculate success rate (green / total candles)
- Check average volatility
- Identify outlier years and investigate what happened
- Plan entry/exit strategy
### 🚀 Who Is This Indicator For?
✅ **Swing Traders** - Plan medium-term trades
✅ **Seasonal Investors** - Exploit cyclical patterns
✅ **Technical Analysts** - Understand historical behavior
✅ **Portfolio Managers** - Time entries and exits
---
### 📝 Summary
The Monthly Color Marker indicator is a powerful and easy-to-use tool for identifying seasonal patterns. The combination of clear visualization with flexible parameters makes it an essential tool for any trader seeking a statistical edge in the market.
**Recommendation:** Start with 25 years back, analyze 2-3 key months, and build a data-driven strategy.
---
**Version:** 4.0
**Compatibility:** Pine Script v5
**Timeframe:** Monthly only
**Author:** 954
## 📊 Monthly Color Marker - סימון חודשים היסטוריים
### תיאור כללי
אינדיקטור ייחודי המאפשר לזהות במהירות את כל הנרות החודשיים מחודש ספציפי לאורך השנים. האינדיקטור מסמן את הנרות בצבעים שונים בהתאם לכיוון התנועה (עלייה/ירידה), ומאפשר ניתוח מהיר של דפוסים עונתיים והתנהגות מחזורית של המניה או הנכס.
### 🎯 מטרת האינדיקטור
- **זיהוי דפוסים עונתיים (Seasonality)** - מציאת מגמות חוזרות בחודשים מסוימים
- **ניתוח היסטורי מהיר** - ראייה ויזואלית של ביצועי החודש לאורך השנים
- **זיהוי כיווניות** - הבנה מיידית האם החודש נוטה להיות שורי או דובי
- **תכנון מסחר עונתי** - בניית אסטרטגיות מבוססות מחזוריות
### ⚙️ פרמטרים מתכווננים
1. **חודש לסימון (1-12)**
- בחירת החודש הרצוי לניתוח
- 1 = ינואר, 2 = פברואר... 12 = דצמבר
- ברירת מחדל: 11 (נובמבר)
2. **שנים אחורה (1-50)**
- קובע כמה שנים אחורה לסרוק
- מומלץ: 10-25 שנים לקבלת תמונה סטטיסטית מהימנה
- ברירת מחדל: 25 שנים
3. **צבע נר עולה**
- צבע לסימון נרות שורים (close > open)
- ברירת מחדל: ירוק
- ניתן להתאים לסכמת הצבעים האישית
4. **צבע נר יורד**
- צבע לסימון נרות דוביים (close < open)
- ברירת מחדל: אדום
- ניתן להתאים לסכמת הצבעים האישית
5. **צבע את השנה הנוכחית**
- האם לכלול את החודש הנוכחי בסימון
- שימושי כאשר החודש טרם הסתיים
- ברירת מחדל: כן
### 📈 איך להשתמש באינדיקטור
#### שלב 1: הוספה לגרף
1. עבור לטיימפריים **חודשי (Monthly)** - חובה!
2. הוסף את האינדיקטור לגרף
3. בחר את החודש שאתה רוצה לנתח
#### שלב 2: ניתוח ראשוני
- **ספור נרות ירוקים מול אדומים** - מה היחס?
- **חפש דפוסים** - האם יש שנים שבהן החודש תמיד עולה/יורד?
- **זהה חריגים** - שנים שבהן ההתנהגות הייתה שונה
#### שלב 3: קבלת החלטות
- **רוב ירוקים** → סטטיסטית החודש נוטה לעלות
- **רוב אדומים** → סטטיסטית החודש נוטה לרדת
- **מעורב** → אין דפוס עונתי ברור
### 💡 דוגמאות שימוש
**דוגמה 1: "Santa Claus Rally"**
- בחר חודש 12 (דצמבר)
- בדוק אם יש רוב נרות ירוקים
- אם כן, זה מאשר את האפקט הידוע של עליות בסוף השנה
**דוגמה 2: "September Effect"**
- בחר חודש 9 (ספטמבר)
- היסטורית, ספטמבר נחשב לחודש חלש
- האם הנתונים תומכים בכך במניה זו?
**דוגמה 3: דיווחים רבעוניים**
- זהה בחודש אילו נפרסמים דיווחים
- בדוק את התגובה ההיסטורית
- תכנן כניסה/יציאה בהתאם
### 🔍 שילוב עם אינדיקטורים אחרים
האינדיקטור עובד מצוין בשילוב עם:
- **Historical Monthly Levels** (האינדיקטור הראשון) - זיהוי רמות מחיר קרובות
- **Volume Profile** - בדיקת ווליום באותם חודשים
- **RSI/MACD** - זיהוי כוח המומנטום בחודשים ספציפיים
### ⚠️ הערות חשובות
1. **חובה להשתמש בטיימפריים חודשי!** האינדיקטור לא יעבוד נכון בטיימפריים אחרים
2. **מדגם סטטיסטי** - ככל שיש יותר שנים, הניתוח מהימן יותר
3. **לא ערובה** - עבר לא מבטיח עתיד, השתמש בניתוח נוסף
4. **התאם צבעים** - אם קשה לראות, שנה את הצבעים בהגדרות
### 🎨 טיפים לחוויית שימוש מיטבית
- **זום אאוט** - ראה יותר שנים במבט אחד
- **נקה גרף** - הסר אינדיקטורים מיותרים לניתוח ברור
- **השווה מניות** - בדוק מספר מניות לאותו חודש
- **תעד ממצאים** - צלם מסך ושמור תובנות לעתיד
### 📊 סטטיסטיקה מומלצת
לאחר שזיהית חודש מעניין:
- חשב אחוז הצלחה (ירוקים / כל הנרות)
- בדוק תנודתיות ממוצעת
- זהה שנים חריגות ובדוק מה קרה אז
- תכנן אסטרטגיית כניסה/יציאה
### 🚀 למי מתאים האינדיקטור?
✅ **סווינג טריידרים** - תכנון עסקאות לטווח בינוני
✅ **משקיעים עונתיים** - ניצול דפוסים מחזוריים
✅ **אנליסטים טכניים** - הבנת התנהגות היסטורית
✅ **מנהלי תיקים** - תזמון כניסות ויציאות
---
### 📝 סיכום
אינדיקטור Monthly Color Marker הוא כלי חזק וקל לשימוש לזיהוי דפוסים עונתיים. השילוב של ויזואליזציה ברורה עם פרמטרים גמישים הופך אותו לכלי חיוני לכל טריידר המחפש יתרון סטטיסטי בשוק.
**המלצה:** התחל עם 25 שנים אחורה, נתח 2-3 חודשים מרכזיים, ובנה אסטרטגיה מבוססת נתונים.
---
**גרסה:** 4.0
**תאימות:** Pine Script v5
**טיימפריים:** חודשי בלבד
**מחבר:** [954
---
[KF] Multi-Duration Rate Expectations IndicatorAfter last fed cut in Oct then following jump in rates, I was frustrated at not having access to good rate expectations vs actual because the market usually prices in prior to fed action. This indicator was developed to make futures market rate expectations accessible and interpretable without requiring professional bond analytics systems.
Summary
This Pine Script indicator reveals what the futures market expects for interest rates across three key durations: Fed Funds (overnight), 2-Year, and 10-Year Treasury yields. By comparing futures-implied rates against current spot yields, it provides a clear visual signal of whether the market expects rates to rise, fall, or remain steady.
Understanding Rate Futures
Fed Funds futures (ZQ1!) use a simple design where the expected rate equals 100 minus the futures price. If ZQ1! trades at 96.12, the market expects a 3.88% Fed Funds rate. Treasury futures work differently - they trade as bond prices (typically 102-115) that move inversely to yields. Converting Treasury futures to implied yields requires complex bond mathematics involving duration and conversion factors.
This indicator solves the Treasury futures complexity by implementing a self-calibrating sensitivity model. It observes the historical relationship between futures prices and yields, then uses this to project rate expectations. The model also compares front-month to next-month contracts to detect expected rate direction, automatically adapting as market conditions change.
How to Use
Add the indicator to any chart and select your desired duration in the settings. The display shows the futures-implied rate, current yield, and the difference between them. Green indicates the market expects higher rates, red means lower expectations, and gray shows expectations in line with current rates.
The indicator excels at identifying divergences between market expectations and current rates, which often precede rate movements or futures repricing. Comparing expectations across different durations reveals insights about yield curve positioning and Fed policy anticipation.
Technical Note
While Fed Funds futures provide exact rate expectations, Treasury futures conversions are sophisticated approximations that provide reliable directional signals and reasonable magnitude estimates sufficient for most trading applications.
DRACO Tomas Delta (Custom/Monthly)🐉 DRACO Delta SessionBox (Custom / Monthly)
Overview
The DRACO Delta SessionBox is an advanced visual and analytical tool designed to measure and display cumulative buying and selling pressure (Δ — delta) within a user-defined time window, such as a specific custom date range, a recurring monthly period, or the entire current month.
It visually represents market accumulation or distribution phases by calculating an approximate delta — the imbalance between bullish and bearish volume — and then aggregates it inside a dynamic “box” that spans only the selected time window.
Core Concept
Delta in this context is an approximation of the real order-flow delta (buy vs sell volume difference).
Since TradingView doesn’t provide raw tick-by-tick trade direction data, this indicator uses a proxy formula based on OHLC and volume data:
Δ per bar
=
Volume
×
(
Close
−
Open
)
max
(
High
−
Low
,
Tick Size
)
Δ per bar=Volume×
max(High−Low,Tick Size)
(Close−Open)
This gives a very effective approximation of intrabar directional pressure — whether volume was dominated by buyers (Δ > 0) or sellers (Δ < 0).
Modes
The indicator can operate in three distinct modes:
🕒 Custom DateTime
The user manually sets an exact date & time range (From – To).
The box only measures delta and volume accumulation within this window.
Ideal for analyzing specific events, like FOMC weeks, quarterly earnings, or macro periods.
📆 Monthly Window
The user selects start and end days of the month (e.g. 5–20).
The same window repeats automatically every month.
Useful for identifying recurring accumulation or distribution cycles within months.
🧭 Whole Month
Automatically measures and visualizes delta for the entire current calendar month.
The box resets when a new month begins.
Provides a macro-level view of monthly directional bias.
Trading Session Analyzer - Best Trading Hours📊 OVERALL DESIGN & PURPOSE
This indicator identifies optimal trading hours based on:
Market session overlaps (when multiple markets are open)
Volume and volatility conditions
Trend strength (ADX)
Range-bound vs trending market detection
Target Use Case: Intraday traders looking to trade during high-liquidity periods with clear directional moves.
Relative Strength vs XAUIts a simple relative strength chart, right now i have set it with Gold, as it is outperforming most of indices globally.
Directional Volume Cloud MTFThe Directional Volume Cloud MTF transforms raw volume into a visually intuitive cloud histogram that highlights directional bias and exhaustion zones.
🔍 Core Logic
- Volume bias is calculated using candle direction (bullish/bearish) and smoothed via EMA.
- Bias strength is normalized against average volume to produce a ratio from -1 to +1.
- Color and opacity dynamically reflect bias direction and strength — pale clouds indicate weak volume, while vivid clouds signal strong conviction.
Features
- Customizable bullish/bearish colors
- Dynamic opacity based on volume strength
- Declining volume signals for potential reversals
- Multi-timeframe bias overlay (e.g., daily bias on intraday chart)
📈 Use Cases
- Spot volume exhaustion before reversals
- Confirm breakout strength with bias intensity
- Compare short-term vs long-term volume pressure
Whether you're scalping intraday moves or validating swing setups, this cloud-based volume heatmap offers a clean, modular way to visualize market conviction.
v2.0—Tristan's Multi-Indicator Reversal Strategy🎯 Multi-Indicator Reversal Strategy - Optimized for High Win Rates
A powerful confluence-based strategy that combines RSI, MACD, Williams %R, Bollinger Bands, and Volume analysis to identify high-probability reversal points . Designed to let winners run with no stop loss or take profit - positions close only when opposite signals occur.
Also, the 3 hour timeframe works VERY well—just a lot less trades.
📈 Proven Performance
This strategy has been backtested and optimized on multiple blue-chip stocks with 80-90%+ win rates on 1-hour timeframes from Aug 2025 through Oct 2025:
✅ V (Visa) - Payment processor
✅ MSFT (Microsoft) - Large-cap tech
✅ WMT (Walmart) - Retail leader
✅ IWM (Russell 2000 ETF) - Small-cap index
✅ NOW (ServiceNow) - Enterprise software
✅ WM (Waste Management) - Industrial services
These stocks tend to mean-revert at extremes, making them ideal candidates for this reversal-based approach. I only list these as a way to show you the performance of the script. These values and stock choices may change over time as the market shifts. Keep testing!
🔑 How to Use This Strategy Successfully
Step 1: Apply to Chart
Open your desired stock (V, MSFT, WMT, IWM, NOW, WM recommended)
Set timeframe to 1 Hour
Apply this strategy
Check that the Williams %R is set to -20 and -80, and "Flip All Signals" is OFF (can flip this for some stocks to perform better.)
Step 2: Understand the Signals
🟢 Green Triangle (BUY) Below Candle:
Multiple indicators (RSI, Williams %R, MACD, Bollinger Bands) show oversold conditions
Enter LONG position
Strategy will pyramid up to 10 entries if more buy signals occur
Hold until red triangle appears
🔴 Red Triangle (SELL) Above Candle:
Multiple indicators show overbought conditions
Enter SHORT position (or close existing long)
Strategy will pyramid up to 10 entries if more sell signals occur
Hold until green triangle appears
🟣 Purple Labels (EXIT):
Shows when positions close
Displays count if multiple entries were pyramided (e.g., "Exit Long x5")
Step 3: Let the Strategy Work
Key Success Principles:
✅ Be Patient - Signals don't occur every day, wait for quality setups
✅ Trust the Process - Don't manually close positions, let opposite signals exit
✅ Watch Pyramiding - The strategy can add up to 10 positions in the same direction
✅ No Stop Loss - Positions ride through drawdowns until reversal confirmed
✅ Session Filter - Only trades during NY session (9:30 AM - 4:00 PM ET)
⚙️ Winning Settings (Already Set as Defaults)
INDICATOR SETTINGS:
- RSI Length: 14
- RSI Overbought: 70
- RSI Oversold: 30
- MACD: 12, 26, 9 (standard)
- Williams %R Length: 14
- Williams %R Overbought: -20 ⭐ (check this! And adjust to your liking)
- Williams %R Oversold: -80 ⭐ (check this! And adjust to your liking)
- Bollinger Bands: 20, 2.0
- Volume MA: 20 periods
- Volume Multiplier: 1.5x
SIGNAL REQUIREMENTS:
- Min Indicators Aligned: 2
- Require Divergence: OFF
- Require Volume Spike: OFF
- Require Reversal Candle: OFF
- Flip All Signals: OFF ⭐
RISK MANAGEMENT:
- Use Stop Loss: OFF ⭐⭐⭐
- Use Take Profit: OFF ⭐⭐⭐
- Allow Pyramiding: ON ⭐⭐⭐
- Max Pyramid Entries: 10 ⭐⭐⭐
SESSION FILTER:
- Trade Only NY Session: ON
- NY Session: 9:30 AM - 4:00 PM ET
**⭐ = Critical settings for success**
## 🎓 Strategy Logic Explained
### **How It Works:**
1. **Multi-Indicator Confluence**: Waits for at least 2 out of 4 technical indicators to align before generating signals
2. **Oversold = Buy**: When RSI < 30, Williams %R < -80, price below lower Bollinger Band, and/or MACD turning bullish → BUY signal
3. **Overbought = Sell**: When RSI > 70, Williams %R > -20, price above upper Bollinger Band, and/or MACD turning bearish → SELL signal
4. **Pyramiding Power**: As trend continues and more signals fire in the same direction, adds up to 10 positions to maximize gains
5. **Exit Only on Reversal**: No arbitrary stops or targets - only exits when opposite signal confirms trend change
6. **Session Filter**: Only trades during liquid NY session hours to avoid overnight gaps and low-volume periods
### **Why No Stop Loss Works:**
Traditional reversal strategies fail because they:
- Get stopped out too early during normal volatility
- Miss the actual reversal that happens later
- Cut winners short with tight take profits
This strategy succeeds because it:
- ✅ Rides through temporary noise
- ✅ Captures full reversal moves
- ✅ Uses multiple indicators for confirmation
- ✅ Pyramids into winning positions
- ✅ Only exits when technical picture completely reverses
---
## 📊 Understanding the Display
**Live Indicator Counter (Top Corner / end of current candles):**
Bull: 2/4
Bear: 0/4
(STANDARD)
Shows how many indicators currently align bullish/bearish
"STANDARD" = normal reversal mode (buy oversold, sell overbought)
"FLIPPED" = momentum mode if you toggle that setting
Visual Indicators:
🔵 Blue background = NY session active (trading window)
🟡 Yellow candle tint = Volume spike detected
💎 Aqua diamond = Bullish divergence (price vs RSI)
💎 Fuchsia diamond = Bearish divergence
⚡ Advanced Tips
Optimizing for Different Stocks:
If Win Rate is Low (<50%):
Try toggling "Flip All Signals" to ON (switches to momentum mode)
Increase "Min Indicators Aligned" to 3 or 4
Turn ON "Require Divergence"
Test on different timeframe (4-hour or daily)
If Too Few Signals:
Decrease "Min Indicators Aligned" to 2
Turn OFF all requirement filters
Widen Williams %R bands to -15 and -85
If Too Many False Signals:
Increase "Min Indicators Aligned" to 3 or 4
Turn ON "Require Divergence"
Turn ON "Require Volume Spike"
Reduce Max Pyramid Entries to 5
Stock Selection Guidelines:
Best Suited For:
Large-cap stable stocks (V, MSFT, WMT)
ETFs (IWM, SPY, QQQ)
Stocks with clear support/resistance
Mean-reverting instruments
Avoid:
Ultra low-volume penny stocks
Extremely volatile crypto (try traditional settings first)
Stocks in strong one-directional trends lasting months
🔄 The "Flip All Signals" Feature
If backtesting shows poor results on a particular stock, try toggling "Flip All Signals" to ON:
STANDARD Mode (OFF):
Buy when oversold (reversal strategy)
Sell when overbought
May work best for: V, MSFT, WMT, IWM, NOW, WM
FLIPPED Mode (ON):
Buy when overbought (momentum strategy)
Sell when oversold
May work best for: Strong trending stocks, momentum plays, crypto
Test both modes on your stock to see which performs better!
📱 Alert Setup
Create alerts to notify you of signals:
📊 Performance Expectations
With optimized settings on recommended stocks:
Typical results we are looking for:
Win Rate: 70-90%
Average Winner: 3-5%
Average Loser: 1-3%
Signals Per Week: 1-3 on 1-hour timeframe
Hold Time: Several hours to days
Remember: Past performance doesn't guarantee future results. Always use proper risk management.
Money Volume • Buyers vs Sellers — @tgambinoxThis indicator estimates the total amount of money traded (Volume × Price)
and splits it between buyers and sellers based on each candle’s behavior.
It displays green bars for buyers and orange bars for sellers, allowing you to see
which side of the market is concentrating the capital.
Useful for detecting flow imbalances, buying/selling pressure,
and confirming price moves alongside total monetary volume (blue line).
Purchasing Power vs Gold, Stocks, Real Estate, BTC (1971 = 100)Visual comparison of U.S. dollar purchasing power versus major assets since 1971, when the U.S. ended the gold standard. Each asset is normalized to 100 in 1971, showing how real value has shifted across gold, real estate, stocks, and Bitcoin over time.
Source: FRED (CPIAUCSL, SP500, MSPUS) • OANDA (XAUUSD) • TradingView (INDEX:BTCUSD/BLX)
Visualization by 3xplain
Prev 1-Min Volume • 5% Max Shares (TTP-ready)💡 Overview
This tool was built to help Trade The Pool (TTP) traders comply with the new “5% per minute volume” rule — without needing to calculate anything manually.
It automatically tracks the previous 1-minute volume, calculates 5% of it, and compares that to your planned order size.
If your planned size is within the limit, it shows green ✅.
If you’re above, it flashes red 🚫.
And when liquidity spikes allow for more size, you’ll see a green glow and 🔔 alert — so you can size up confidently without breaking the rule.
⚙️ Features
✅ Auto-calculates 5% volume cap from the previous 1-min candle
✅ Displays previous volume, max allowed shares, and your planned size
✅ TTP “different volume” scaling option (e.g. 0.69 for 45M vs 65M real volume)
✅ Per-bar slice suggestion for 10s scalpers
✅ Corner selector (top-left, top-right, bottom-left, bottom-right)
✅ Visual glow and 🔔 alert when liquidity window opens
✅ Compact and real-time responsive on 10s charts
mysourcetypesncsLibrary "mysourcetypes"
Libreria personale per sorgenti estese (Close, Open, High, Low, Median, Typical, Weighted, Average, Average Median Body, Trend Biased, Trend Biased Extreme, Volume Body, Momentum Biased, Volatility Adjusted, Body Dominance, Shadow Biased, Gap Aware, Rejection Biased, Range Position, Adaptive Trend, Pressure Balanced, Impulse Wave)
rclose()
Regular Close
Returns: Close price
ropen()
Regular Open
Returns: Open price
rhigh()
Regular High
Returns: High price
rlow()
Regular Low
Returns: Low price
rmedian()
Regular Median (HL2)
Returns: (High + Low) / 2
rtypical()
Regular Typical (HLC3)
Returns: (High + Low + Close) / 3
rweighted()
Regular Weighted (HLCC4)
Returns: (High + Low + Close + Close) / 4
raverage()
Regular Average (OHLC4)
Returns: (Open + High + Low + Close) / 4
ravemedbody()
Average Median Body
Returns: (Open + Close) / 2
rtrendb()
Trend Biased Regular
Returns: Trend-weighted price
rtrendbext()
Trend Biased Extreme
Returns: Extreme trend-weighted price
rvolbody()
Volume Weighted Body
Returns: Body midpoint weighted by volume intensity
rmomentum()
Momentum Biased
Returns: Price biased towards momentum direction
rvolatility()
Volatility Adjusted
Returns: Price adjusted by candle's volatility
rbodydominance()
Body Dominance
Returns: Emphasizes body over wicks
rshadowbias()
Shadow Biased
Returns: Price biased by shadow length
rgapaware()
Gap Aware
Returns: Considers gap between candles
rrejection()
Rejection Biased
Returns: Emphasizes price rejection levels
rrangeposition()
Range Position
Returns: Where close sits within the candle range (0-100%)
radaptivetrend()
Adaptive Trend
Returns: Adapts based on recent trend strength
rpressure()
Pressure Balanced
Returns: Balances buying/selling pressure within candle
rimpulse()
Impulse Wave
Returns: Detects impulsive moves vs corrections
