Position Size Gev_Risk ($)
The amount of money you are willing to lose if the stop-loss is hit.
Base Stop Price
The stop-loss price you set. The stop is recalculated in real time as price moves.
Fee (%) round-trip
Estimated total trading fees for opening and closing the position.
Stop Mode
With Buffer: adds extra distance to the stop, resulting in a smaller position size
No Buffer: uses the Base Stop Price exactly as entered
Stop Buffer (%)
The percentage added to the stop distance when Stop Mode is set to With Buffer.
Live adjustment behavior
The stop price updates continuously as price moves, and the position size is recalculated live to stay aligned with the selected Risk ($).
Statistics
Level 2 Order Flow Oracle with Sector Heatmap📊 Level 2 Order Flow Oracle™ + Dynamic Sector Heatmap
🎯 Overview
The Level 2 Order Flow Oracle™ is an advanced institutional-grade trading indicator that combines sophisticated order flow analysis with real-time sector rotation monitoring. This all-in-one tool provides traders with deep market insights by analyzing bid/ask imbalances, volume profile (VPOC), institutional footprints, and smart money divergences - all while displaying a dynamic sector heatmap that automatically adapts to your selected symbol.
Whether you're a day trader, swing trader, or institutional investor, this indicator delivers actionable signals with confidence ratings, risk-reward ratios, and precise entry/exit levels backed by multi-factor analysis.
✨ KEY FEATURES
🔬 Advanced Order Flow Analysis
Delta Calculation: Real-time buy/sell volume delta with cumulative tracking
Aggressive Order Detection: Identifies large market orders hitting the bid/ask
Bid/Ask Imbalance Proxy: Detects strong buying or selling pressure based on candle positioning
Order Absorption Detection: Spots institutional walls absorbing market orders
Iceberg Order Detection: Identifies hidden institutional orders
📍 Volume Profile & VPOC
Dynamic VPOC Calculation: Point of Control showing highest volume traded price levels
Volume Distribution Analysis: 10-level price-volume histogram updated every 5 bars
VPOC Distance Tracking: Monitors price position relative to high-volume nodes
🐋 Institutional Footprint Detection
Smart Money Tracking: Identifies large institutional buy/sell orders (3x+ volume)
Distribution/Accumulation Signals: Detects volume divergences at price extremes
Order Block Mapping: Marks key institutional support/resistance zones
Order Block Retests: Alerts when price revisits institutional levels
🎯 Multi-Factor Prediction Engine
8-factor scoring system analyzing:
Trend Alignment (20 points) - EMA 8/21/50 confluence
Order Flow (25 points) - Delta and aggressive orders
Bid/Ask Imbalance (15 points) - Market pressure
Institutional Activity (20 points) - Smart money footprints
Volume Profile (10 points) - VPOC positioning
Absorption (10 points) - Large order walls
Pattern Recognition (10 points) - Reversal/continuation setups
Momentum (10 points) - RSI, MACD, MFI alignment
🔒 Prediction Lock Mechanism
Confidence-Based Signals: Only triggers at 65%+ (customizable)
Stabilization Period: Locks predictions for 10 bars (adjustable) to prevent whipsaws
Dynamic Targets: ATR-based profit targets (1.5x to 2.5x based on confidence)
Risk Management: Automatic stop-loss calculation
Risk-Reward Filter: Only displays signals with 2:1+ R:R ratio
🔥 Dynamic Sector Heatmap
Auto-Detection: Automatically identifies which sector your symbol belongs to
10 Sectors Covered: Technology, Finance, Healthcare, Consumer, Energy, Industrial, Communication, Utilities, Materials, Market Indices
Real-Time Performance: Updates every tick showing intraday % change
Relative Strength Mode: Toggle to show performance vs SPY
Visual Color Coding:
🟢 Strong Green: >2.5% gain
🟢 Green: 1.2-2.5%
🟢 Light Green: 0.4-1.2%
⚪ Neutral: -0.4% to +0.4%
🔴 Light Red: -0.4% to -1.2%
🔴 Red: -1.2% to -2.5%
🔴 Strong Red: <-2.5%
Current Symbol Highlight: Shows ▶ arrow next to your active ticker
6 Top Symbols Per Sector: Displays the most liquid/representative stocks
📊 Comprehensive Dashboard
Real-time metrics displayed:
Signal Direction: BULL/BEAR/WAIT with confidence %
Lock Status: Countdown until next signal update
Price Targets: Entry, target, and stop levels
Risk-Reward Ratio: Actual R:R for current setup
Delta: Current buy/sell volume difference
Imbalance: Bid/Ask pressure indicator
Institutional Activity: Whale buy/sell detection
Absorption: Large order wall detection
VPOC Distance: % distance from volume point of control
Order Block Status: Active bullish/bearish block tests
Volume Ratio: Current vs average volume
RSI & MFI: Momentum oscillators with overbought/oversold zones
🎨 VISUAL COMPONENTS
Chart Overlays
EMA Ribbons: 8/21/50 period exponential moving averages
Bollinger Bands: 20-period with 2 standard deviations
VPOC Line: Dynamic volume point of control
Order Blocks: Dotted lines showing institutional zones (50-bar memory)
Prediction Arrow: Directional forecast with confidence label
Stop Loss Line: Dashed red risk management level
Background Coloring: Subtle green/red tint indicating active signal
Signal Labels
🚀 Bullish Signal: Green label below bar with confidence %
⚠️ Bearish Signal: Red label above bar with confidence %
Appears only when:
Confidence ≥ threshold (default 65%)
Risk-reward ratio ≥ 2:1
Lock period expired or confidence jumped 15%+
⚙️ CUSTOMIZATION OPTIONS
Prediction Settings
Prediction Horizon: 5-20 bars (default: 10)
Min Confidence %: 50-90% (default: 65%)
Lock Period: 5-20 bars (default: 10)
Level 2 Analysis Toggles
☑️ Order Flow Analysis
☑️ Volume Profile (VPOC)
☑️ Institutional Footprints
☑️ Order Absorption Detection
☑️ Bid/Ask Imbalance
Display Options
☑️ Dashboard (position: Top Center)
☑️ Order Blocks
☑️ Signals
Font Size: Tiny/Small/Normal
Sector Heatmap Settings
☑️ Show Sector Heatmap
Position: Top Left/Right, Bottom Left/Right
Size: Tiny/Small/Normal
☑️ Show vs SPY (Relative Strength Mode)
Sector Override: Manual sector selection or Auto-Detect
🔔 ALERT CONDITIONS
Create automated alerts for:
🚀 L2 Buy Signal: Bullish setup detected with confidence %
⚠️ L2 Sell Signal: Bearish setup detected with confidence %
🐋 Whale Buy: Institutional buying detected (3x+ volume)
🐋 Whale Sell: Institutional selling detected (3x+ volume)
📊 Absorption: Large order absorption detected
✅ Bull OB Test: Price testing bullish order block
❌ Bear OB Test: Price testing bearish order block
📈 HOW TO USE
For Day Traders
Enable all Level 2 Analysis features
Set Lock Period to 5 bars for faster signals
Monitor Dashboard for real-time delta and imbalance
Watch for 🐋 Whale alerts indicating institutional activity
Use Sector Heatmap to identify strong/weak sectors for momentum plays
For Swing Traders
Increase Lock Period to 15-20 bars for more stable signals
Raise Min Confidence to 70-80% for higher probability setups
Wait for Order Block retests with confirmation
Monitor sector rotation for multi-day trends
Use 2:1+ R:R signals only
For Position Traders
Focus on higher timeframes (4H, Daily)
Set Min Confidence to 80%+ for institutional-grade setups
Combine with fundamental analysis of sector leaders
Use Sector Heatmap to identify sector rotation
Wait for both Order Flow AND Institutional Activity alignment
Reading the Sector Heatmap
Strong outperformance (bright green): Sector leadership, consider long positions
Relative weakness (red): Sector lagging, consider avoiding longs
Divergence: If your stock is red but sector is green → investigate weakness
Convergence: If your stock matches sector → confirmation of trend
🧮 TECHNICAL SPECIFICATIONS
Pine Script Version: 5
Chart Type: Overlay indicator
Calculation Frequency: Every tick
Max Security Calls: 14 (well under 40 limit)
Performance Impact: Optimized with conditional loading
Sectors Covered: 10 major market sectors
Symbols Per Sector: 6 most liquid representatives
Historical Data: VPOC uses 20-bar lookback, Order Blocks track 50 bars
💡 BEST PRACTICES
Combine with Price Action: Use signals as confirmation, not sole entry reason
Respect the Lock: Don't chase trades during lock period - wait for next signal
Watch Order Blocks: Retests of institutional zones often provide best entries
Sector Context Matters: A bullish signal in a weak sector may underperform
Volume Confirmation: Higher volume on signals = higher probability
Multiple Timeframes: Check higher timeframe alignment for better success rate
Risk Management: Always use the calculated stop-loss levels
Filter by R:R: Only take trades with 2:1+ risk-reward ratio
⚠️ IMPORTANT NOTES
Sector Auto-Detection: Works for major US equities; use Manual Override for others
Real-Time Data: Heatmap requires real-time data subscription for accurate updates
Backtesting: Prediction lock mechanism prevents repainting
Market Hours: Most effective during regular trading hours with higher volume
Not Financial Advice: This is a technical analysis tool; always do your own research
🎓 INDICATOR COMPONENTS EXPLAINED
Delta
Positive delta = More buying pressure
Negative delta = More selling pressure
Cumulative delta above SMA = Bullish accumulation
Cumulative delta below SMA = Bearish distribution
VPOC (Volume Point of Control)
Price level with highest traded volume
Acts as magnetic level for price action
Bullish when price > VPOC
Bearish when price < VPOC
Order Blocks
Price zones where institutions placed large orders
Bullish OB: Support zone from institutional buying
Bearish OB: Resistance zone from institutional selling
Retests often provide optimal entry points
Absorption
Large volume + small price movement = order absorption
Indicates institutional player absorbing market orders
Often precedes reversals or consolidation
🚀 GETTING STARTED
Add to Chart: Click "Add to Favorites" and apply to any chart
Choose Your Symbol: Works on stocks, indices, ETFs
Customize Settings: Adjust confidence threshold and lock period to your style
Position Heatmap: Move to preferred corner (default: Bottom Right)
Set Alerts: Create alerts for L2 Buy/Sell signals
Monitor Dashboard: Watch for signal updates and metrics
Execute Trades: Follow signals with proper risk management
📊 COMPATIBLE WITH
US Equities: All NASDAQ, NYSE, AMEX stocks
Major Indices: SPY, QQQ, DIA, IWM
ETFs: Sector ETFs, commodity ETFs
Timeframes: 1min to Daily (optimized for 5min-1H)
Market Conditions: Trending and ranging markets
🛡️ RISK DISCLAIMER
Trading involves substantial risk of loss. Past performance is not indicative of future results. This indicator is a technical analysis tool and should not be used as the sole basis for trading decisions. Always use proper risk management, position sizing, and stop losses. The creator is not responsible for any trading losses incurred using this indicator.
📞 SUPPORT & UPDATES
Regular updates with new features and improvements
Bug fixes and performance optimizations
Community feedback integration
Follow for update notifications
🏆 WHY CHOOSE LEVEL 2 ORDER FLOW ORACLE™?
✅ Institutional-Grade Analysis: Tools previously available only to professional traders
✅ Multi-Factor Confirmation: 8-factor scoring eliminates false signals
✅ Real-Time Sector Context: Understand market rotation in real-time
✅ No Repainting: Prediction lock mechanism ensures historical signals don't change
✅ Complete Trading System: Entry, target, stop - everything calculated automatically
✅ Visual Clarity: Clean dashboard and heatmap for quick decision making
✅ Customizable: Adjust to your trading style and risk tolerance
✅ Professional Support: Regular updates and improvements
Transform your trading with institutional-grade order flow analysis. Add Level 2 Order Flow Oracle™ to your favorites today! 🎯📈
Tags: Order Flow, Volume Profile, VPOC, Institutional Trading, Smart Money, Delta, Sector Rotation, Heatmap, Market Scanner, Level 2, Bid Ask Imbalance, Order Blocks, ICT, Supply Demand, Footprint Chart, Accumulation Distribution, Whale Tracking
Entropy-Gated Expansion StateThis indicator identifies sustained directional expansion regimes by separating regime qualification from regime persistence. Directional entropy is used to detect when price transitions from a disordered environment into a structured one, acting as a gate that enables participation only during favorable market conditions. Once qualified, trend structure maintains the active state through consolidations and minor pullbacks, ensuring the indicator remains engaged throughout the expansion phase rather than firing as a short-lived signal.
The result is a persistent, state-based output that avoids sideways markets, reduces noise, and remains active during sustained trends across a wide range of assets, including high-volatility instruments.
Gap Fill Probability & Statistics [ES/NQ]
🎯 What This Indicator Does
This indicator shows you the real probability of gap fill based on historical data analysis of 2,600+ ES and 2,700+ NQ trading days.
Unlike other gap indicators that just draw lines, this one tells you:
What's the chance this gap will fill today?
How long does it typically take?
How much risk (drawdown) to expect?
What happens after the gap fills?
All statistics are context-specific — calculated for your exact gap type (size + direction), not generic averages.
📊 Key Features
Real-Time Gap Tracking
Automatic gap detection at RTH open (9:30 AM ET)
Visual fill levels on chart (25%, 50%, 75%, 100%)
Live status updates as price moves
Historical Statistics Panel
Fill probability by time (10:30, Noon, Close)
Typical fill time in minutes
Sample size for statistical confidence
Risk Metrics
MAE (Max Adverse Excursion) — typical drawdown before fill
Worst 10% scenarios
Whipsaw probability (fills then reverses)
Timing Analysis
When do most fills happen?
Cumulative fill probability by time bucket
After-Fill Behavior
Does price continue or reverse after fill?
Extension beyond gap close
📈 Gap Classification
Gaps are classified by size relative to ATR:
Tiny: < 0.3x ATR
Small: 0.3x - 0.7x ATR
Medium: 0.7x - 1.2x ATR
Large: > 1.2x ATR
Statistics are calculated separately for each size AND direction (Up/Down), giving you 8 unique contexts instead of one generic number.
⚙️ Customization
Toggle individual sections on/off:
Today's Gap
History Stats
Fill Chances (ladder)
Live Status
Risk Info
Best Time to Fill
Opening Range
After Gap Fills
🔔 Alerts
Built-in alerts for:
25% fill
50% fill
75% fill
100% fill (complete)
📋 Data Source
Statistics derived from analysis of:
ES (E-mini S&P 500): 2,646 trading days
NQ (E-mini Nasdaq): 2,791 trading days
Data includes gaps from 2014-2024, covering various market conditions.
⚠️ Disclaimer
This indicator provides statistical probabilities based on historical data. Past performance does not guarantee future results. Use as one input in your trading decisions, not as the sole basis for trades.
💡 How to Use
Add indicator to ES or NQ futures chart
Select correct symbol in settings
At market open, check the probability and typical fill time
Use MAE data to set appropriate stop levels
Monitor live status throughout the session
Best used on 1-minute to 15-minute timeframes during RTH session.
Order VolumeGranular order volume.
Mainly to be used in other indicators where accurate order flow is needed.
Uses 1S security to pull higher resolution data and then adds into bin based on candle size of chart.
1S can be changed to different time frames based on data limitations.
Plot delta.
Pacco LevelsGEX (BTC) v2Pacco LevelsGEX (BTC) is a Bitcoin level-mapping indicator that turns a user-pasted CSV (exported by my dashboard) into a complete on-chart map of key dealer/option-driven zones and targets.
What you get on the chart
Automatic horizontal levels from the CSV (e.g., ZGL, GEX+, GEX-, Confluence, Tail Gamma, MaxPain, Vol50/Vol95, Charm/Delta/Vega targets, etc.).
Right-side labels with price + level name, plus an optional short explanation to speed up interpretation.
Controls for line thickness, label size, and right-side spacing, with either:
Built-in color coding per level type, or
An optional single custom color for all levels.
Gamma/Delta by level (Profile mode)
If the CSV includes gamma_usd and delta_usd for each level, the indicator can draw a horizontal profile bar at every mapped price:
Gamma Profile (gamma_usd) or Delta Profile (delta_usd)
Profile position: Centered / Left / Right
Adjustable maximum width, thickness, and transparency
When multiple labels share the same price, the script consolidates them and sums Gamma/Delta to show the combined impact at that level.
ZGL regime background
ZGL is used as a regime reference to paint either:
A band around ZGL (height configurable as a %), or
The entire panel (green above ZGL / red below), with configurable transparency.
Extra context
If present in the CSV, the script displays Impl. Move Day in a top-right info box.
CSV format expected (example)
The script reads a flat comma-separated list like:
KEY,PRICE,gamma_usd,delta_usd, KEY,PRICE,gamma_usd,delta_usd, ...
Some keys may provide only a single value (e.g., Impl. Move Day,VALUE).
Why this script is protected (closed-source)
This script is published as protected because it implements a specific CSV parsing + aggregation workflow designed to match my dashboard’s export structure (including multi-level consolidation and profile aggregation) and to keep that workflow consistent across my tooling.
The description above explains the indicator’s outputs, inputs, and usage so traders can evaluate it without needing the full source.
How to use
Add the indicator to a BTC chart
Paste the dashboard CSV into “Paste BTC CSV” input
(Optional) Enable Profile mode and choose Gamma or Delta
Choose ZGL background mode (Band or Full Panel)
Disclaimer: For educational/informational purposes only. Not financial advice.
Volatility Simulation & Analysis🙏🏻 The main purpose of this tool is to define your stop-losses and take-profits, even tho it's really fast (time complexity O(n)), it does Monte Carlo simulations inside, providing you the Way higher info gain.
This method is more advanced than using structural volatility analysis , such as stdev on raw data, in a sense that the outputs have lower variance but higher bias . However, in return for that, it provides means to know where to look for breakeven exits, smth you can't really do non-arbitrary with structural volatility.
...
How to use:
The script outputs 4 lines, 2 outer lines are used for hard stop-losses and take-profits distances, and inner 2 lines are used for the soft stop-losses and take-profits distances.
Hard ones are used to setup final SLs and TP.
Soft ones are used to trigger attempts to exit at breakeven.
The choice of direction (blue/red line) should be based according to your initial position direction. So for longs you'll need blue lines for soft & hard take profits, and red lines for soft & hard stop-losses. Vice versa for shorts.
Feel free to improve it, but that's the baseline ruleset and tbh it's more than enough.
...
How it works
It's fully O(N).
This method is closely related to Monte Carlo and VaR , but adapts them to live use for more practical tasks rather than offline simulations & post analysis. The method fully resides in L2 .
I use 2 separate streams of innovations from MFPM model (explained here ).
From each stream I learn it's parameters, and generate numerous Gamma distributed noise instances, that unlike Exponential noise are more flexible and allow to use both location and scale as separate parameters. Synthetic data generation is the Only part of the method that degrades it to O(N), everything else is O(1).
Then I process data cross-sectionally (all samples per one time-stamp), to discover location and scale of each section. These 2 streams then smoothed with attributing higher weights to higher values, so even tho we smooth, we still are honest to the higher importance of higher values.
Finally I construct soft and hard volatility envelopes, and scale them from local to global frame. Soft (inner) envelopes model the typical max excursions, while outer (hard) envelopes model rare extreme excursions.
...
be cool aye?
∞
Price % Change from Time HighDisplays the following.
Highest in Last (interval)
Current Price:
% From High:
% To High:
% From (internal) Chart High:
Volume + ATR Robust Z-Score Suite (MAD)Plots relevant volume with relevant volatility using z-core to calculta de deviations
Return Skew (Directional Asymmetry)This indicator measures the asymmetry of returns over a rolling window, specifically evaluating whether positive returns dominate negative returns in magnitude rather than frequency. The purpose of this indicator is to identify assets whose upside moves are structurally stronger than their downside moves, indicating convex return behaviour. Unlike trend or momentum indicators, return skew captures the quality of price movement, distinguishing between assets that grind upward versus those that experience explosive upside relative to drawdowns. By requiring positive return skew, this indicator helps avoid assets that are rising through frequent small gains but are vulnerable to sharp downside moves, thereby favouring assets exhibiting genuine asymmetric upside potential.
Standard Deviation Linesplot standard deviation lines for 1sd, 2sd, 3sd. The user gives the data for the standard deviation and the time.
Combo Premium SMA Alert SystemShort Straddle for ATM Options Entry at SMA Cross over downside and SL or Exit SMA Cross over Upside
Today's Price Position On Intraday-From Low /High OVERVIEW
A clean, professional indicator that displays your stock's current position relative to today's high, today's low, and yesterday's close - all in one convenient table.
🎯 WHAT IT SHOWS
Three key metrics in real-time:
- From Low: How far price has moved from today's lowest point
- From High: How far price is from today's highest point
- % Today: Today's percentage change vs yesterday's 4 PM close
✨ KEY FEATURES
✓ Real-time percentage tracking throughout the trading day
✓ Works on ALL intraday timeframes (1min, 5min, 15min, etc.)
✓ Includes Pre-Market (4:00-9:30 AM) and Regular Trading Hours (9:30-4:00 PM)
✓ Color-coded indicators: Green (up), Red (down), Yellow (at reference point)
✓ Clean, non-intrusive table display in bottom-right corner
✓ Accurate reference to previous day's actual closing price
🔧 TESTING MODE
Built-in testing mode allows you to:
- Manually input test values for High, Low, Close, and Previous Close
- Verify calculations and behavior before live trading
📈 IDEAL FOR
- Day traders monitoring intraday price action
- Swing traders tracking daily momentum
- Anyone wanting quick visual reference of price position
- Traders who need to know "where we are" at a glance
💡 HOW TO USE
Simply add to your chart - no configuration needed! The indicator automatically:
1. Tracks today's high and low (including pre-market)
2. References yesterday's 4 PM closing price
3. Calculates your current position as percentages
4. Updates in real-time with color-coded signals
🎨 COLOR LEGEND
- Green: Price is up/above reference
- Red: Price is down/below reference
- Yellow: Price is exactly at reference point (unchanged)
- Orange: Previous day's close reference price
⚙️ TECHNICAL NOTES
- Automatically resets at start of each trading day
- Handles both pre-market and regular hours seamlessly
- Uses confirmed previous day close (no repainting)
- Lightweight and efficient - won't slow down your charts
Perfect for traders who want professional-grade information without chart clutter!
Force of Multi Strategy Bot: Backtest Webhook Alert Adaptive MTFForce of Multi Strategy (FoMS) - Innovative solution designed for crypto trading 📈
Overview:
An intraday algorithmic trading bot with 29 strategies, up to 10 symbols, and multi-timeframe filters sends pre-configured Webhook Alerts in TTA format to major crypto exchanges and features a live strategy Switcher that selects the best-performing strategy based on real-time backtest data
Key Features:
29 non-repaint strategies on up to 10 symbols
Buy/Sell signals based on TV Technical Rating, as well as classic and adaptive indicators
Higher Timeframe filters (ADX, Volatility, Volume, ATR) with multipliers from chart TF
Advanced risk management and backtest metrics
Automated "Switcher” to pick the best-performing strategies from backtest data in real time
Webhook alerts in TTA format (tradingview to anywhere) pre-configured to major Crypto Exchanges: Binance, Bitget, BingX, Bybit, GateIO, KuCoin and OKX
Main Inputs:
"All Strategies" on/off - trading all strategies on chart symbol or one strategy for 10 symbols
HTF Mult 1/2 - multipliers for 2 higher timeframes filters
InitCap/Trade$/Leverage - position size of one trade and initial capital
Min ROI/WR/PF/SRP/MAR/Trades - minimal cutoff for key strategy performance metrics. When "All Strategies" is "on", the switcher will open trades for strategies which meet these criteria
"Check Last" on/off - check performance metrics for a specified number of recent trades.
If the option is disabled, metrics are checked for the entire duration of the backtest
BacktestDays/MaxBars - set how long the script will perform backtests in days, with a limitation on the number of bars for acceptable calculation speed
How it works:
Only one trade can be opened at a time for each symbol. Strategies or symbols are calculated using their own initial capital settings
FoMS operates in two modes: ‘All Strategies’ on and off. When ‘All Strategies’ is off, it focuses on a single, user-selected strategy for each symbol. If ‘All Strategies’ is on, it's continuously evaluates 29 strategies and uses the Switcher to select the most promising ones
“All Strategies” Off Mode:
When the ‘All Strategies’ option is disabled, the script executes trades and sends alerts based on a single, user-selected strategy for each symbol. The script records backtest results for the selected strategy, allowing you to analyze its performance
In attached example you see how FoMS works on 10 symbols (first ones in alphabetical order with a leverage of 50) with chosen strategy #2 and enabled ATR HTF filter. Summary Profit & Loss for Backtest strategy #2: +$162.20 across 119 trades, with a $10 per-trade margin
This mode ideal when you calibrate risk management options on different symbols, or if you find that one of 29 strategies is profitable on many symbols and want trade with many of them simultaneously. This opens up the possibility of mass diversification, for example, launching trading on 200 symbols with just 20 notifications
“All Strategies” On Mode:
When the ‘All Strategies’ enabled, FoMS continuously evaluates 29 strategies for chart symbol and records backtest results continuously from each of them enabling the switcher to work
In this example, you can see how FoMS operates with all 29 strategies on a single chart symbol, with a summary P&L of +554.7$ from the backtest across 403 trades. Over the last 20 days from the backtest starting point, each strategy executed a different number of trades, from 2 to 41, getting different P&L from -26.1$ to +74.2$. Based on the results obtained, it seems prudent to continue trading only with strategies that have been more successful in the backtest
This is where he comes into play: strategy switcher executes trades and send alerts only from strategies that meet your pre-defined performance criteria, based on backtest results of all strategies. This opens up opportunities, allowing you to not only test the performance of one or many strategies, but also test the logic behind switching them
In attached example switcher use next logic: trades opened only for strategies who reached in test minimal setting ROI >= 0.2, PF >= 1.75 and SRP >= 1. As a result of testing this given logic: profit/loss = $84 , return on investment = 0.33, number of trades in 20 days = 34 .
P&L per trade rises from 1,37$ (all strategies backtest trades) to 2.47$ (switcher work)
Another backtest of logic example, switcher does the same thing but after check 6 last trades for each strategy. This rise ROI from 0.33 to 0.43, P&L rises from 84$ to 98.7$, P&L per trade rises from 2.47$ (check 20 days test) to 3.3$ (check last 6 trades)
Also, switcher has abilities to check strategies and update decisions about their performance with setting time period , for example every 2 days, and additionally it’s can choose for trading only Top ROI Rated Strategies, at say for example it can open trades from only Top 3 of them all
Interface:
Labels: on chart show open long/short and result in USD for closed trades, when "All strategies" is active - labels at bottom of indicator window show which exactly number of strategy opens a deal. The "No" label means that none of the strategies that meet the performance criteria have opened a trade at this time
Lines: indicator window contained equity line (aqua) and HTF Technical rating area, chart contain SL/TP (red/green) and open price (blue) lines for opened trades
Table 1 (all strategies or all symbols):
- TR: count of closed trading deals; WR: Winning Rate; PF: Profit Factor
- MDD: Max Draw Down for all calculated time from initial capital
- R$: trading Profit & Losses Result in USD
First row shows some of script settings, in published example: initial capital 100$, leverage 50L, 20 backtest days, 10$ is invest in one deal, 15m is chart timeframe, 60m is higher timeframe 1 and 120m is higher timeframe 2.
The exchange name in the second row determines the alert messages format
If strategy meet cutoff criteria you will see "Ok" label, if strategy meet criteria and have maximum from other reached ROI they labeled "Best". Chart strategy labeled "Chart", Chart and Ok labels in one time is "Chart+", "Chart" and "Best" is labeled "Best+"
Green or red color of strategy number/symbol means a long or short trade is currently active
Table 2 (chart symbol):
- PT: Result in USD Per one Trade; PW: Result Per Win, PL: Result Per Loss
- ROI: Return On Investment; SR: Sharpe Ratio, MR: CalMAR ratio
- Tx: Commission Fee in $; R$: trading Profit & Losses Result in USD
There separate trade results of backtesting for longs and shorts. In first column you see how many USD were invested in one trade, taking into account possible position splitting
Update frequency: closed trades information updated every bar, but check "ok"/"best" labels in table 1 would be when chart have not open trade. Its need for calculation speed purpose
Risk management options:
When a buy or sell trade is opened, you'll see three lines on the chart: a red stop-loss line ( SL ), a green take-profit line ( TP ), and a blue line representing the entry price . The trade will be closed if the high price or low price reaches the line TP or SL (no wait for bar close) and alert will be triggered once per bar when script recalculates
Several options are available to control the behaviour of SL/TP lines, such as stop-loss by percent, ATR, Highest High (HH) and Lowest Low (LL) . Take Profit can be in percent, ATR, Risk Reward ratio . There some Trailing Stop with start trail trigger options - ATR, % or HH/LL
Available Kelly position sizing option with multiplier to reduce growth
Additionally, implemented a function for adding a position when the breakeven level expressed in the current ROI is reached for opened trade (splitting). The position is added within the bar
Webhook alerts in TTA format with message contained next info : Buy / Sell or adding Quantity, Leverage, SL price, TP price and close trade Result in USD
(for easy forward tests and check difference between actual trade result and alerts logs)
Backtest Engine:
Profit or Loss is USD = close trade price * open trade quantity - open trade price * open trade quantity - open trade quantity * (open trade price + close trade price)/2 * commission
Possible slippage or alert sending delay needed to be include in commission % which you will set in risk management settings block, default settings is 0.15% (0,06% for open, 0,06% for close and 0,03% for possible slippage or additional fees)
Maximum Draw Down Drawdown = (peak - current equity) / peak * 100 ;
Drawdown > maxDrawdown ? maxDrawdown = Drawdown
ROI = profit result in USD / sum of all positions margin
CalMAR Ratio = ROI / (-MaxDrawDown)
Sharpe Ratio = ROI / standard deviation for (Sum of all results) / (Sum of all Position Margins)
Strategies:
Before describing them, I’ll provide extensive statistics on the results of using the listed strategies:
Number 1, 2 and 3: based on Higher Timeframe TradingView Technical Ratings at self. 1 is summary total rating, 2 is oscillators and 3 is moving averages. When TR filter cross user setting filter levels trade will be open at chart bar close. By Default on chart you see Summary Technical Rating oscillator, but here the options for change it to Oscillator TR or Moving Average TR
Number 4, 5 and 6: based on Chart TimeFrame TR. Trades will open when its values (Summary, Oscillators and Moving Averages) reached setting buy/sell level. To seeing plot of Chart TF Technical Ratings you can just set HTF multipliers to 1
Number 7, 8 and 9: is Alternative buy sell logic for Chart TimeFrame TR, trades will open when counting rising or falling setting values will be reached
Number from 10 to 18: based on user-selected adaptive Moving Averages and Oscillators indicators. In settings you will see different types of Adaptive Algorithms, Moving Averages (By default: SMA, RMA, WMA, Hann, JMA) and Oscillators (By default: RSI, LRSI, MomentumRSI, RVI) - more than 30 options in total. The standard adaptive algorithm is unique, developed by the author and based on ADX: it shortens the length of the MA/OSC when the market is defined as trending, and increases it when the market is defined as sideways. Other available adaptive length algorithms options based on identification of Volatility, Market Cycles or Trending and works on a similar principle adjusting the length setting of MA/OSC within market condition. All adaptive strategies have their options for calibrating. You can plot on chart any MA/OSC and its length obtained from adaptive algorithms. Trades are opened when the MA/OSC are crossed user-specified in settings buy/sell levels
Number from 19 to 29: They are calibrated between two options "Fast React" or "Strong Signal" for avoid overfitting. "Fast React" mean trades would be more, indicators will detect buy/sell condition faster. "Strong Signal" buy/sell will identifies slower and open potentially more accurate trades. I tried to found mostly time worked classic strategies within thousands tests, at the time of publication this script uses :
- Swing HH LL ( 19 ): trades open when trend swing is determined by comparing the timing of the latest high vs. low within time window sensitive to Fast or Strong setting;
- Composite indicator ( 20 ): implemented Fast or Strong variations based on normalized and weighted 0.25 * SMA + 0.15 * RSI + 0.25 * MaCD + 0.35 * ROC, buy/sell signals trigger when overbought/oversell (ob/os) levels is crossed;
-%R ( 21,22 ): buy/sell signals occur when fast or strong long term Williams %R and short %R cross centre line or ob/os levels;
- Pivot Point SuperTrend ( 23 ): identifies pivot point centreline with ATR bands, buy/sell signal triggered when fast or strong trend direction is changed;
- Ichimoku ( 24 ): buy/sell when tenkan cross kijun with strong or fast cloud trend confirmation;
- TSI ( 25 ): trades open when fast/strong variations of true strength index crossing ob/os levels;
- Band Level RSI ( 26 ): identifies bands based on fast/strong close price wma and stdev, buy/sell signals triggered when RSI cross ob/os levels with price out of bands;
- RSI/MacD ( 27, 28 ): trades open when macd crossing signal line if RSI was in ob/os condition long time ago or short time ago in a fast or strong variations, and open trades when macd line (fast) or signal line (strong) crossed zero line;
- Bars UpDown( 29 ): trades open when last bars ups or downs in fast or strong variations
- Overbought/oversold levels are sensitive to the “Fast React” or “Strong Signal” settings
Why this mashup: No one single trading strategy works consistently in all conditions. I combine 29 unique strategies to dynamically identify the best-performing ones at any given time
You can enable or disable various Higher Timeframes Filters (ADX, Volume, Volatility, Tech rating). If enabled, trades will only open when the filter setting are reached for one of two HTF
And after this describe i will show you another great statistics:
In showed tables you see backtest results for all strategies on 100 random crypto coins. Uses default script settings: InitCap 20$, One trade 3$, L50, commission 0.15%, 15m chart TF and two HTF 60m and 120m, ATR 2.5 SL and ATR trailing with trigger at 7 ATRs by open price
What in this stats: First test was without any HTF filtering, second table show result for same strategies and coins, but with enabled ADX Filter. As you can see Filter reduce Losses radically
Without filtration just 24 crypto coins averages from 100 was profitable, with ADX filtration this number rises to 32 from 100 , note that after filter best performed become another strategies. Bear in mind, all filters or risk management options will affect their backtest performance
For clarity: classic indicators are not plotted on chart in this script to avoid overloading the interface. You can easily understand what exactly do listed upper strategies by the “Long” and “Short” labels on the chart and the trades counted in the tables. While you can collect the massive statistics by yourself as shown upper, it is not part of this script
Originality and Value:
Diverse: fully customizable rules for the first 18 strategies, as well as a choice of "fast" or "strong" signals for the remaining 11, allow you to build a suite with different trading frequency
Risk Control and Backtest: dynamic SL/TP and position sizing with immediate test performance of many assets/strategies in one framework help optimize the risk-reward profile
Automated Strategy Switching: author developed unique feature allows to pick on the best-performing strategies in real-time and can backtest the logic behind switching them.
It designed to finding profitable habits in market behaviours and to cut out unprofitable ones
This combination, along with the developer’s extensive research and testing, sets the “Force of Multi Strategy” apart from many other trading solutions available on the market
Another usage example:
Tips that I found through tests: Last 4 trades say more about the next one #5 than 10 do about #11. You can use many instances of FoMS on one symbol. An attached example demonstrates how 4 instances of FoMS work with different filter settings (No Filters, ADX, ATR, TV.TR)
All instances have the same settings : Symbol: PEPE, Chart TF 15m, HTF Mult 4/8, InitCap $100, One trade $10/50 Leverage. Strategies switch based on the same logic : choosing a strategy that achieved an ROI ≥ 0.4 and a win rate ≥ 50% over the last 4 trades. As you can see: the TV.TR filter opened 24 trades with best P&L 118.9$. The ATR filter (no trade if ATR 5 / ATR 20 < 1.2) performed best 1.37 ROI, achieving a P&L 95.9$ with 9 trades in 20 days of backtest
Now you can choose the preferred option and create a new alert with the Webhook address provided by TTA. That’s all. The next signal from the strategy that meets the set ROI and WR criteria from the last 4 trades with the HTF filter will be executed by the script and sent to the Webhook address to open a position on the exchange
Keep in mind , script open a market orders and alerts have slight delay, some negative or positive difference (usually 3-10%, L50) in close trade result between alert and actual trade results is possible, alert message example: Close 1000PEPEUSDT C=LINEAR +2.27$ Buy 1000PEPEUSDT Q=13276.2944 SL=0.006545 TP=0.010168 L=50 D=2 C=LINEAR St:21
Might be important , this script generates alerts for market orders that are then executed on pre-configured crypto exchanges via the TTA service, along with native SL/TP orders
Finally:
There is no universal instruction or ‘how to’ for profitability in all markets at any time. However, I will continue researching and will share more tips in the future. I believe that FoMS’s capabilities can revolutionize your understanding of intraday trading
Invite-only status safeguards the author’s unique multi-strategy framework, unavailable in public scripts, ensuring users access tailored tools without imitation risks.
To get access please see the Author's instructions!
Wishing you successful trades! Stay tuned for updates
DISCLAIMER: No sharing, copying, reselling, modifying, or any other forms of use are authorized for this script, and the information published with them. This script is strictly for individual use. No one knows the future and Investments are always made at your own risk. I am not responsible for any losses you may incur. Before investment make sure that your logic is profitable on demo account
MCX GOLD and SILVER Import Duty CalculationsThis Script of MCX Gold and Silver landed cost vs MCX Difference is Created and published for Trading view on 29/01/2026.
MCX Gold and Silver Landed vs MCX Difference Jan 2026This Script of Gold and Silver landed cost vs MCX Difference is Created and published for Trading view on 29/01/2026.
Angular Moving AveragesMETHODOLOGICAL GUIDE: ANGULAR MOVING AVERAGES
Pedagogical Introduction
Most traders make the mistake of viewing moving averages as simple support or resistance lines. However, the true power of a moving average lies in its slope vector. This script is designed to transform visual subjectivity into precise mathematical data, allowing the trader to quantify the acceleration or deceleration of a trend through an angular measurement system and a dynamic "pool" of alerts.
1. Dynamic Level System (Highs & Lows)
This module projects horizontal lines marking the most recent significant highs and lows detected by the algorithm. While its primary function is structural, its true power lies in its integration with the RSI.
• Color Logic: These lines are not static; they change color based on the state of the RSI oscillator (user-configurable).
◦ Fuchsia (Overbought/Oversold): Activated when the RSI reaches critical thresholds (default >= 70 or <= 30). It indicates that the price has reached a threshold of mass participation or exhaustion.
◦ Yellow (Transition Zones): Indicates that the price is entering cautionary terrain (60-70 or 30-40).
◦ Gray (Neutral Zone): The market is in a relative equilibrium (40-60), ideal for identifying consolidation phases.
• Utility: Allows the trader to know at a glance whether current support and resistance levels are validated by a momentum condition in the RSI.
2. Fibonacci Reference Frame (Background Structure)
As a visual complement, the script integrates an Automatic Fibonacci Retracement based on recent highs and lows. This system is designed as a low-opacity "watermark" to avoid obstructing price action.
• Reaction Zones: The system delimits three key bands:
1. Zone 23.6% to 38.2%: The first retracement filter.
2. Zone 38.2% to 50.0%: The movement's equilibrium level.
3. Zone 50.0% to 61.8%: The area of maximum relevance for continuity or reversal.
3. The Control Center (Angular Dashboard)
The table is a real-time data processor that divides its analysis into three fundamental pillars, as shown in the technical capture:
A. Moving Average Angle Matrix
Located in the upper left, it measures the vectorial slope of 5 different moving average architectures: Simple (S), Exponential (E), Weighted (W), Hull (H), and ALMA (A).
• Data Interpretation: The numbers inside the cells represent the exact angle of the vector. A positive number indicates an ascent, and a negative number indicates a descent.
• Period Versatility: The system allows for custom lengths for each type. For example, a user can compare three ALMA 10-period averages simultaneously to observe subtle variations in the micro-trend.
B. Quantitative High/Low Reference
The yellow section of the table displays the nominal values (exact prices) of the last detected Highs and Lows. This facilitates quick and precise order management (Stop Loss or Take Profit) without the need for external tools.
C. Angular Alerts Pool (Alert & Color Logic)
This is the most critical and advanced section of the table. It acts as the "filter" that decides which information is relevant to the trader.
• Smart Color-Coding: Cells turn Green or Red when angles meet specific pre-configured criteria.
• Lateralization Detection: A key pedagogical aspect is observing when short-term averages (following the price) mark green while long-term ones remain red. This divergence alerts the trader to transition or sideways phases, preventing entries in false trends.
• "Waterfall" Configuration: Allows for confirming that the movement has constant inertia (such as the three cascading ALMA 10s) before executing a trade.
• Total Integration: The Alerts Pool can also affect the visualization of the high and low levels on the chart.
Customization and Technical Restrictions
This system has been designed as a highly adaptable tool for any trading style. All numerical values, moving average lengths, colors, and visualization elements are fully user-configurable, with one single exception:
• Fibonacci Values: The levels 23.6%, 38.2%, 50.0%, and 61.8% remain fixed to ensure the integrity of the mathematical retracement metric. However, their colors and visibility can be customized to suit any visual theme (Dark or Light).
MODULAR CONFIGURATION & HYPER-SCALABLE ALERTS POOL
This system is not a rigid tool; it is a technical engineering environment designed for objective market measurement. Although specific setups are shown in the visual examples, the user has absolute control to adapt the indicator to their own analysis methodology.
1. Moving Average Configuration & Algorithmic Versatility
The engine processes 5 families of algorithms (SMA, EMA, WMA, HULL, and ALMA) with total flexibility:
• Custom Lengths: Although the system includes default values (10, 50, 100, 200), you can freely reconfigure them. For example, you can work with "pairs" of averages (two 20-period and two 55-period) to analyze different sensitivities.
• Style Personalization: The user decides which averages to display on the chart to maintain operational clarity, while the engine continues to process the rest of the data in the background.
• Instant Refresh: Any change in configuration is immediately updated in both the 20 vectors and the data table (Dashboard).
2. The Technical Alerts Pool: Centralized Intelligence
The alert management unifies up to 22 technical variables into a single output, optimizing TradingView resources and the trader's attention.
• Operational Efficiency: When the alarm sounds on your device, the Dashboard will accurately indicate which of the 22 variables (Price Breakouts or Angular Vectors) triggered the signal.
• Threshold Logic:
◦ Value 0: Alert disabled.
◦ Positive Value ($>0$): Identifies the strengthening of a bullish trend. The alert triggers when the angle is greater than or equal to the programmed value.
◦ Negative Value ($<0$): Identifies the strengthening of a bearish trend. The alert triggers when the angle is less than or equal to the programmed value.
• Mathematical Integrity: The program operates internally with high-precision decimals. If you program an alert at 20°, the system will only trigger it upon reaching the exact value (e.g., 20.00°). The Dashboard's visual rounding to whole numbers is purely aesthetic; the execution is strictly technical.
Technical Case Analysis (visual examples)
The following sequence of attached screenshots demonstrates the system's filtering and detection capabilities:
1. Bearish Trend Scenario
1. Initial Setup: This image shows two overlapping menus. First, the Style tab (where Hull averages are selected as a visual reference) and, second, the Alerts menu with negative values configured to detect downward trend strength.
2. Chart Response: The next capture shows the technical result: 20 aligned vectors and the price confirming the downward movement after the programmed breakouts.
2. Bullish Trend Scenario.
1. Threshold Setup: Capture showing the adjustment of values in the configuration menu, this time set with positive parameters to identify upward trend acceleration.
2. Chart Response: Image illustrating the expansion of the vectorial fan and the health of the bullish trend in full development.
Consolidation Filtering:
In these examples, a critical feature is evident: during periods of consolidation or sideways ranges, fast averages react to price noise, but slow ones maintain their trajectory. Thanks to the Alerts Pool, the user can filter this behavior and receive notifications only when the trend regains its real angular strength.
TECHNICAL ARCHITECTURE: VECTORIAL PRECISION
Total scale independence and cross-device consistency
The major problem with conventional angular indicators is that their appearance changes depending on the zoom level or screen size, leading to subjective and erroneous signals. This indicator solves this issue through a vector-based architecture that maintains absolute integrity.
You can observe the same asset, on the same timeframe and at the same time, from a mobile phone or a large desktop monitor; the angle and projected force will be identical. The inclination of the vectors is an objective measurement that does not depend on how you stretch or compress the chart on your screen.
Visual stability example (Standard scenario):
In this first link , you can observe the behavior of the vectors on a chart with normal proportions. I have used the Bar Replay tool to keep the scenario fixed and allow for a real comparison.
Visual stability example (Deformed chart):
In this second link , I have extremely deformed the chart. As you can see, while the price and candles change their visual appearance, the vectors maintain the exact same angle and position, proving that the force measurement is undisturbed by scaling.
TRADING ECOSYSTEM: ANGULAR VOLATILITY & EDITOR'S PICK SEAL
This moving average indicator serves as a complement to my Angular Volatility methodology. It is part of an analytical system that I have shared chronologically and transparently, allowing for a clear understanding of how these tools evolve within the market.
It is important to highlight that the technical robustness of this approach was officially recognized when my second publication in this series received the Editor’s Pick distinction. This endorsement from TradingView moderators validates the technical foundation of the angular analysis that I continue to expand today with this new script, designed to measure vector and force.
To fully understand the ecosystem and how this indicator enhances volatility and directional readings, you may consult the following public publications in their order of development:
1. Core Methodology (Script):
2. Awarded Market Analysis (Editor’s Pick):
3. Technical Educational Series (Case Studies):
EVALUATION ACCESS & CONTACT PROTOCOL
To allow you to personally verify the effectiveness of this vector and force system in your own trading, I am granting a 15-day temporary evaluation access.
How to request and manage your access:
1. Initial Request: Leave a comment directly on this publication requesting the trial. This allows me to immediately identify your profile and enable the invitation.
2. Activation and Location: Once I receive your comment, I will activate your access. You can find the indicator on your TradingView chart by going to the "Indicators" menu and looking for the folder named "Invite-only scripts". I will reply to your comment simply to confirm that access has been granted and to provide the expiration date.
3. Communication: To avoid cluttering the public comments section, I will send you a Private Message (TradingView Chat) with additional details. Through this private chat, we can maintain fluid communication. If you require permanent access, you can contact me via Facebook (link available in my author profile).
Important Note on Privacy:
Please do not share emails, phone numbers, or external links in the public comments. TradingView prohibits the exchange of personal data in this section, and both parties could face sanctions. For any details requiring external contact, please use the link in my profile or the private chat.
MARKET CALIBRATION, TIMEFRAMES, AND FUTURE UPDATES
It is fundamental to understand that this system does not use a generic formula. Each market and each timeframe requires exhaustive study and individual calibration to ensure that the vectors accurately represent the real force of the movement.
Currently, the script is calibrated exclusively for Cryptocurrency and Forex markets (options you will find in the settings menu). If there is solid interest from the community, I will undertake the calibration process for other assets such as Stocks, Indices, or Commodities—a task that requires time, patience, and rigorous technical study.
Regarding timeframes, the system is optimized to work on 1m, 5m, 15m, 30m, 1h, 4h, Daily, and Weekly charts. Outside of these ranges, the indicator will not perform readings to protect the integrity of the analysis. However, additional timeframes can be added upon direct request from subscribers, with the understanding that each new timeframe must undergo its own individual calibration process before being integrated into the code.
ADAPTABILITY AND FUTURE MOVING AVERAGES
Although the core of the indicator is optimized for a specific moving average configuration, the system has been designed with a flexible architecture that allows for the integration of other types of averages based on trading needs.
Technical Limits and Customized Versions:
It is important to consider that each added type of moving average consumes processing resources within TradingView. Due to the calculation and validation limits imposed by the platform to maintain chart performance, it is not feasible to include every possible variation within a single script.
However, this limitation is easily resolved through the creation of derivative or specific versions. Upon request from subscribers, these new moving averages can be incorporated into future releases or customized versions, ensuring that the tool adapts to your strategy without sacrificing fluid performance and vectorial precision.
Intrinsic Fair Value Calculator (Auto)📊 Intrinsic Fair Value Calculator Auto
Multi-Model Institutional Valuation Engine
The Intrinsic Fair Value Calculator Auto is a comprehensive, institutional-grade valuation indicator that combines multiple professional valuation frameworks into a single, automated system. It allows traders and investors to objectively determine whether an asset is undervalued, fairly valued, or overvalued—directly on the chart, in real time.
Unlike basic valuation tools, this indicator does not rely on a single method. Instead, it aggregates and visualizes five widely accepted intrinsic valuation models used by analysts, portfolio managers, and venture investors.
🔑 Valuation Models Included
🔹 1. 10-Year Discounted Cash Flow (DCF) Model
Projects 10 years of future free cash flows, discounts each year back to present value using a risk-adjusted rate, and calculates terminal value using a perpetuity growth model.
This is the gold standard for intrinsic valuation and reflects the true cash-generating ability of a business.
Best for: Long-term investors and fundamental analysis.
🔹 2. EV / EBITDA Valuation Model
Uses Enterprise Value relative to EBITDA to assess how the market is pricing operational earnings, independent of capital structure.
This model is widely used in institutional finance, private equity, and M&A.
Best for: Comparing valuation across companies or industries.
🔹 3. Asset-Based Valuation Model
Estimates intrinsic value based on a company’s net asset value, accounting for assets minus liabilities.
This approach is especially useful for asset-heavy businesses and downside protection analysis.
Best for: Value investing and balance-sheet-driven analysis.
🔹 4. Venture Capital (VC) Method
Estimates future exit value and discounts it back to present value using high risk-adjusted return assumptions.
This model is designed to evaluate high-growth, early-stage, or speculative assets.
Best for: Growth stocks, startups, and high-risk/high-reward opportunities.
🔹 5. Benjamin Graham Formula
A classic intrinsic value formula created by Benjamin Graham, the father of value investing.
It combines earnings power and growth assumptions into a conservative valuation baseline.
Best for: Conservative value investors seeking margin of safety.
📈 What the Indicator Displays
• Individual intrinsic value estimates for each valuation model
• A composite fair value range derived from all models
• Clear undervalued, fair value, and overvalued zones
• Dynamic valuation levels that update with market data
• Clean on-chart visualization for fast decision-making
🎯 How Traders & Investors Use It
• Identify high-confidence accumulation zones
• Spot overvaluation and distribution areas
• Compare price vs. intrinsic value across multiple models
• Build confluence with technical structure and volume
• Reduce emotional decision-making using objective valuation
🌍 Markets & Timeframes
✔ Stocks
✔ Forex
✔ Crypto
✔ Futures
✔ Intraday, Swing, and Long-Term Charts
⚠️ Disclaimer
This indicator is for educational and analytical purposes only and does not constitute financial advice. Always apply proper risk management and confirm signals using additional analysis.
FOMC Policy Events[nakano]### FOMC Policy Events
#### Summary / 概要
This indicator plots the historical policy decisions of the U.S. Federal Open Market Committee (FOMC) directly onto your chart. It is an essential tool for traders and analysts who want to visualize how the market reacts to changes in monetary policy. All historical event data from 2000 onwards is hard-coded into the script for fast and reliable performance.
このインジケーターは、米国連邦公開市場委員会(FOMC)の過去の政策決定をチャート上に直接プロットします。金融政策の変更に対する市場の反応を視覚的に分析したいトレーダーやアナリストにとって不可欠なツールです。2000年以降の全ての過去イベントデータが含まれます。
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#### Features / 主な機能
* **Comprehensive Historical Data / 包括的な過去データ**
Includes all historical scheduled and emergency FOMC rate decisions from January 2000.
2000年1月以降の、全ての定例および緊急のFOMC金利決定の履歴を含みます。
* **Detailed Event Labels / 詳細なイベントラベル**
Each event is marked with a clear label showing:
各イベントには、以下の情報を示す明確なラベルが表示されます:
* The exact date of the announcement.
発表の正確な日付
* The type of decision (Rate Hike, Rate Cut, Hold, or Emergency Cut).
決定内容(利上げ、利下げ、据え置き、緊急利下げ)
* The resulting Federal Funds Target Rate.
決定後の政策金利(FF金利ターゲット)
* **Fully Customizable Display / 柔軟な表示設定**
From the indicator's settings menu, you can:
インジケーターの設定画面から、以下の操作が可能です:
* Individually toggle the visibility of Rate Hikes, Rate Cuts, and Holds.
「利上げ」「利下げ」「据え置き」の表示・非表示を個別に切り替える
* Choose your preferred language for the labels (English or Japanese).
ラベルの表示言語を「英語」または「日本語」から選択する
* **Clear Visual Cues / 明確なビジュアル**
* **Rate Hikes:** Green labels positioned below the price bars.
**利上げ:** バーの下に緑色のラベル
* **Rate Cuts:** Red labels positioned above the price bars.
**利下げ:** バーの上に赤色のラベル
* **Holds:** Gray labels positioned above the price bars.
**据え置き:** バーの上に灰色のラベル
* **Emergency Events:** Specially highlighted in maroon for easy identification.
**緊急イベント:** 識別しやすいように特別な色(ワインレッド)で強調表示
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#### How to Use / 使用方法
1. Add the indicator to your chart.
インジケーターをチャートに追加します。
2. Click the **Settings (gear icon)** next to the indicator name on your chart.
チャート上のインジケーター名の横にある**設定(歯車アイコン)**をクリックします。
3. In the "Display Settings" section, check or uncheck the boxes to show or hide different event types.
「Display Settings」セクションで、各イベントタイプの表示・非表示をチェックボックスで切り替えます。
4. In the "Language Settings" section, select your preferred language from the dropdown menu.
「Language Settings」セクションで、ドロップダウンメニューからお好みの言語を選択します。
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#### A Note on Data / データについて
The event data included in this script is static and contains historical decisions up to September 2025. The script does not plot future scheduled meetings and will need to be manually updated as new policy decisions are made.
このスクリプトに含まれるイベントデータは静的なものであり、2026年1月までの過去の決定を含んでいます。未来のスケジュールをプロットする機能はなく、新しい金融政策が決定された場合は、スクリプトの手動更新が必要です。
Ticker DataTicker Data is a high-efficiency dashboard designed for traders and analysts who need immediate context on a ticker without cluttering their chart.
This script aggregates fundamental data, price performance, and key institutional support levels into a single, customizable table. It allows you to assess the "character" of a stock in seconds by overlaying essential metrics directly onto your chart.
Key Features
1. Institutional Anchors (Auto-VWAPs)
Instead of manually drawing Anchored VWAPs for every ticker, this script automatically calculates and displays the three most important levels for trend management:
VWAP IPO: The volume-weighted average price since the stock's inception.
VWAP YTD: The volume-weighted average price starting from Jan 1st of the current year.
VWAP Earnings: The volume-weighted average price since the most recent earnings report.
Visual Logic: Text turns Green if price is above the VWAP, and Red if below.
2. Trend & Momentum
5-Day MA: Displays the 5-day Simple Moving Average based on Daily data. This serves as a "momentum guardrail"—if the price is above the 5DMA, short-term momentum is bullish.
Timeframe Independence: The 5DMA and performance stats are forced to the Daily timeframe, ensuring consistent data even if you view the chart on 15m or 1H intervals.
3. Fundamental Context
Market Cap: Current market capitalization.
Float & Float %: Displays the number of floating shares and the percentage of total shares they represent. Vital for gauging volatility potential (low float = higher volatility).
4. Price Performance & Range
Performance: % change over the last Week (1W), Month (1M), and Quarter (3M).
52-Week High/Low:
Off 52W High: The % drawdown from the 52-week high.
Above 52W Low: The % extension from the 52-week low.
5. Event & History Awareness
Earnings Countdown: Displays the number of days until the next earnings report. Text turns Red inside the "Danger Zone" (less than 7 days).
IPO Timer: Calculates exactly how many years have passed since the stock's public listing, allowing you to quickly filter for fresh merchandise vs. mature assets.
Settings & Customization
This script is built for "Chart Real Estate" management. You have full control over the visual layout via the inputs tab:
Display Toggles: Every metric (Float %, Dist from High/Low, IPO Timer, VWAPs, etc.) has its own checkbox. Uncheck what you don't need to keep the table compact.
Table Positioning:
Location: Pin the table to any corner (Top/Bottom, Left/Right).
Size: Scale the table from Tiny to Large to fit your resolution.
Push Down: A unique feature that adds empty transparent rows to the top of the table. This pushes the data down so it does not obscure the most recent price candles or the ticker header.
Visual Styling:
Alignment: Independently control the text alignment (Left, Center, Right) for both the Labels and the Data columns.
Colors: Fully customizable Background and Text colors.
Note: The default text color is Black (optimized for Light Mode charts). If you use Dark Mode, simply switch the "Text Color" input to White.
Technical Notes
Data Source: Moving averages and VWAP anchors are calculated using Daily ('D') data to ensure institutional relevance.
Swing Zig Zag - Market Structure Indicator by Panda TradingOverview
The Swing Zig Zag indicator is a powerful tool for identifying market structure changes, Break of Structure (BOS), and Change of Character (CHoCH) patterns. It automatically detects and visualizes key price action levels, helping traders identify potential trend reversals and continuation patterns.
Key Features
📊 Market Structure Detection
- Break of Structure (BOS): Identifies when price breaks significant swing highs/lows, indicating trend continuation
- Change of Character (CHoCH): Detects trend reversals when price breaks counter-trend levels
- Visual ZigZag Lines: Connects CHoCH points to clearly visualize market structure flow
🎨 Customizable Display
- **Adjustable Pivot Length**: Control sensitivity of swing point detection (default: 5)
- **Two Detection Modes**:
- Extreme Points: Uses absolute highs and lows
- Adjusted Points: Dynamically adjusts levels for better accuracy
- **Line Limit Control**: Display up to 500 structure lines to keep charts clean
- **Color-Coded Levels**: Distinct colors for bullish/bearish BOS and CHoCH
⚡ Real-Time Alerts
- Built-in alert system for CHoCH detection
- Separate alerts for bullish and bearish changes
- Once-per-bar alert frequency to avoid spam
🔧 Customization Options
- ZigZag Lines: Toggle visibility, customize color, width, and style (Solid/Dashed/Dotted)
- Structure Lines: Show/hide market structure with adjustable display limit
- CHoCH Extension: Horizontal lines extend forward to highlight active levels
How to Use
1. Trend Following: Use BOS confirmations to enter in the direction of the trend
2. Reversal Trading: Watch for CHoCH signals indicating potential trend changes
3. Support/Resistance: CHoCH levels often act as key support and resistance zones
4. Market Structure: The zigzag pattern helps identify higher highs/lows and market phases
Settings
- Pivot Length: Controls sensitivity (lower = more signals, higher = stronger signals)
- Structure Limit: Number of historical structure lines to display (10-500)
- ZigZag Display: Toggle and customize the connecting lines between CHoCH points
- Mode Selection: Choose between Extreme Points or Adjusted Points for different trading styles
Best Practices
- Combine with other indicators for confirmation
- Use on higher timeframes for stronger signals
- Wait for candle close before acting on signals
- CHoCH levels can act as dynamic support/resistance
Technical Notes
- Maximum 5000 bars lookback
- Supports up to 500 lines and labels
- Optimized for performance on all timeframes
- Works on all markets: Forex, Crypto, Stocks, Indices
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Perfect for: Price action traders, swing traders, and anyone looking to understand market structure and trend changes with clarity.






















