TZv420simplified version of TZ original. With Alert function
Transient Zones (v420)
I drew the trades on the arrow signals so you can see, its not all win, but with good money management and other ways of finding Target points (MA's or Pivots or Fib or Structure etc)
It is profitable. No repaint, No offset
Buscar en scripts para "profitable"
CCI Level Zero Strategy (by Marcoweb) v1.0Hi guys,
My strategy is ready :)
Finally the zero level of the CCI gives the start and stop to my positions. As you could notice, setting up the CCI length to 340 area on 1 minute chart will let the profit factor go up to 20% from an already wonderful 16%. This is a great result cause will let profitable trades run while stopping the wrong ones with a very limited loss. What makes our profit are not several small little positions that are clearly unrepitable in real trade but few and very profitable positions in which jumping in will be easier due to their length (71 bars average).
Please share with me your impressions and suggestions.
Have a nice trade :)
I_Heikin Ashi CandleWhen apply a strategy to Heikin Ashi Candle chart (HA candle), the strategy will use the open/close/high/low values of the Heikin Ashi candle to calculate the Profit and Loss, hence also affecting the Percent Profitable, Profit Factor, etc., often resulting a unrealistic high Percent Profitable and Profit Factor, which is misleading. But if you want to use the HA candle's values to calculate your indicator / strategy, but pass the normal candle's open/close/high/low values to the strategy to calculate the Profit / Loss, you can do this:
1) set up the main chart to be a normal candle chart
2) use this indicator script to plot a secondary window with indicator looks exactly like a HA-chart
3) to use the HA-candle's open/close/high/low value to calculate whatever indicator you want (you may need to create a separate script if you want to plot this indicator in a separate indicator window)
MACDouble + RSI (rec. 15min-2hr intrv) Uses two sets of MACD plus an RSI to either long or short. All three indicators trigger buy/sell as one (ie it's not 'IF MACD1 OR MACD2 OR RSI > 1 = buy", its more like "IF 1 AND 2 AND RSI=buy", all 3 match required for trigger)
The MACD inputs should be tweaked depending on timeframe and what you are trading. If you are doing 1, 3, 5 min or real frequent trading then 21/44/20 and 32/66/29 or other high value MACDs should be considered. If you are doing longer intervals like 2, 3, 4hr then consider 9/19/9 and 21/44/20 for MACDs (experiment! I picked these example #s randomly).
Ideal usage for the MACD sets is to have MACD2 inputs at around 1.5x, 2x, or 3x MACD1's inputs.
Other settings to consider: try having fastlength1=macdlength1 and then (fastlength2 = macdlength2 - 2). Like 10/26/10 and 23/48/20. This seems to increase net profit since it is more likely to trigger before major price moves, but may decrease profitable trade %. Conversely, consider FL1=MCDL1 and FL2 = MCDL2 + (FL2 * 0.5). Example: 10/26/10 and 22/48/30 this can increase profitable trade %, though may cost some net profit.
Feel free to message me with suggestions or questions.
SPY Master v1.0This is a simple swing trading algorithm that uses a fast RSI-EMA to trigger buy/cover signals and a slow RSI-EMA to trigger sell/short signals for SPY, an xchange-traded fund for the S&P 500.
The idea behind this strategy follows the premise that most profitable momentum trades usually occur during periods when price is trending up or down. Periods of flat price actions are usually where most unprofitable trades occur. Because we cannot predict exactly when trending periods will occur, the algorithm basically bets money on all trade opportunities during all market conditions. Despite an accuracy rate of only 40%, the algorithm's asymmetric risk/reward profile allows the average winner to be 2x the average loser. The end result is a positive (profitable) net payout.
TRADING RULES:
Buy/Cover = EMA3(RSI2) cross> 50
Sell/Short = EMA5(RSI2) cross< 50
BACKTEST SETTINGS:
- Period = March 2011 - Present
- Initial capital = $10,000
- Dividends excluded
- Trading costs excluded
PERFORMANCE COMPARISON:
There are 657 trades, which means 1,314 orders. Assuming each order costs $2 (what I pay for at Interactive Brokers), total trading costs should be $2,628.
-SPY (buy & hold) = 132.73 ---> 193.22 = +45.57% (dividends excluded)
-SPY Master v1.0 = $12,649 - $2,628 = $10,021 = +100.21%
DISCLAIMER: None of my ideas and posts are investment advice. Past performance is not an indication of future results. This strategy was constructed with the benefit of hindsight and its future performance cannot be guaranteed.
Ichimoku EMA BandsSome find Ichimoku Clouds bit complicated. This simplified version is combined with EMA Bands may be profitable. Give a try!. I recommend hourly timeframe for good results. Aye! :D
yuthavithi volatility based force trade scalper strategyI have converted my volatility based force scalper into strategy. Nice to see it is so profitable. Work best with Heikin Ashi bar.
BACKTEST SCRIPT 0.999 ALPHATRADINGVIEW BACKTEST SCRIPT by Lionshare (c) 2015
THS IS A REAL ALTERNATIVE FOR LONG AWAITED TV NATIVE BACKTEST ENGINE.
READY FOR USE JUST RIGHT NOW.
For user provided trading strategy, executes the trades on pricedata history and continues to make it over live datafeed.
Calculates and (plots on premise) the next performance statistics:
profit - i.e. gross profit/loss.
profit_max - maximum value of gross profit/loss.
profit_per_trade - each trade's profit/loss.
profit_per_stop_trade - profit/loss per "stop order" trade.
profit_stop - gross profit/loss caused by stop orders.
profit_stop_p - percentage of "stop orders" profit/loss in gross profit/loss.
security_if_bought_back - size of security portfolio if bought back.
trades_count_conseq_profit - consecutive gain from profitable series.
trades_count_conseq_profit_max - maxmimum gain from consecutive profitable series achieved.
trades_count_conseq_loss - same as for profit, but for loss.
trades_count_conseq_loss_max - same as for profit, but for loss.
trades_count_conseq_won - number of trades, that were won consecutively.
trades_count_conseq_won_max - maximum number of trades, won consecutively.
trades_count_conseq_lost - same as for won trades, but for lost.
trades_count_conseq_lost_max - same as for won trades, but for lost.
drawdown - difference between local equity highs and lows.
profit_factor - profit-t-loss ratio.
profit_factor_r - profit(without biggest winning trade)-to-loss ratio.
recovery_factor - equity-to-drawdown ratio.
expected_value - median gain value of all wins and loss.
zscore - shows how much your seriality of consecutive wins/loss diverges from the one of normal distributed process. valued in sigmas. zscore of +3 or -3 sigmas means nonrandom realitonship of wins series-to-loss series.
confidence_limit - the limit of confidence in zscore result. values under 0.95 are considered inconclusive.
sharpe - sharpe ratio - shows the level of strategy stability. basically it is how the profit/loss is deviated around the expected value.
sortino - the same as sharpe, but is calculated over the negative gains.
k - Kelly criterion value, means the percentage of your portfolio, you can trade the scripted strategy for optimal risk management.
k_margin - Kelly criterion recalculated to be meant as optimal margin value.
DISCLAIMER :
The SCRIPT is in ALPHA stage. So there could be some hidden bugs.
Though the basic functionality seems to work fine.
Initial documentation is not detailed. There could be english grammar mistakes also.
NOW Working hard on optimizing the script. Seems, some heavier strategies (especially those using the multiple SECURITY functions) call TV processing power limitation errors.
Docs are here:
docs.google.com
CM Stochastic POP Method 1 - Jake Bernstein_V1A good friend ucsgears recently published a Stochastic Pop Indicator designed by Jake Bernstein with a modified version he found.
I spoke to Jake this morning and asked if he had any updates to his Stochastic POP Trading Method. Attached is a PDF Jake published a while back (Please read for basic rules, which also Includes a New Method). I will release the Additional Method Tomorrow.
Jake asked me to share that he has Updated this Method Recently. Now across all symbols he has found the Stochastic Values of 60 and 30 to be the most profitable. NOTE - This can be Significantly Optimized for certain Symbols/Markets.
Jake Bernstein will be a contributor on TradingView when Backtesting/Strategies are released. Jake is one of the Top Trading System Developers in the world with 45+ years experience and he is going to teach how to create Trading Systems and how to Optimize the correct way.
Below are a few Strategy Results....Soon You Will Be Able To Find Results Like This Yourself on TradingView.com
BackTesting Results Example: EUR-USD Daily Chart Since 01/01/2005
Strategy 1:
Go Long When Stochastic Crosses Above 60. Go Short When Stochastic Crosses Below 30. Exit Long/Short When Stochastic has a Reverse Cross of Entry Value.
Results:
Total Trades = 164
Profit = 50, 126 Pips
Win% = 38.4%
Profit Factor = 1.35
Avg Trade = 306 Pips Profit
***Most Consecutive Wins = 3 ... Most Consecutive Losses = 6
Strategy 2:
Rules - Proprietary Optimization Jake Will Teach. Only Added 1 Additional Exit Rule.
Results:
Total Trades = 164
Profit = 62, 876 Pips!!!
Win% = 38.4%
Profit Factor = 1.44
Avg Trade = 383 Pips Profit
***Most Consecutive Wins = 3 ... Most Consecutive Losses = 6
Strategy 3:
Rules - Proprietary Optimization Jake Will Teach. Only added 1 Additional Exit Rule.
Results:
Winning Percent Increases to 72.6%!!! , Same Amount of Trades.
***Most Consecutive Wins = 21 ...Most Consecutive Losses = 4
Indicator Includes:
-Ability to Color Candles (CheckBox In Inputs Tab)
Green = Long Trade
Blue = No Trade
Red = Short Trade
-Color Coded Stochastic Line based on being Above/Below or In Between Entry Lines.
Link To Jakes PDF with Rules
dl.dropboxusercontent.com
Vervoort Heiken Ashi Candlestick OscillatorHeiken-Ashi Candlestick Oscillator (HACO), by Sylvian Vervoort, is a digital oscillator version of the colored candlesticks.
Explanation from Vervoort:
"HACO is not meant to be an automatic trading system, so when there is a buy or sell signal from HACO, make sure it is confirmed by other TA techniques. HACO will certainly aid in signaling buy/sell opportunities and help you hold on to a trade, making it more profitable. The behavior of HACO is closely related to the level and speed of price change. It can be used on charts of any time frame ranging from intraday to monthly."
HACO has 2 configurable length parameters - "UP TEMA length" and "Down TEMA length". Vervoort suggests having them the same value.
I have also added an option to color the bars (overlay mode).
More info:
Trading with the Heiken-Ashi Candlestick Oscillator - Sylvian Vervoort
List of my other indicators:
- GDoc: docs.google.com
- Chart:
DEnvelope [Better Bollinger Bands]*** ***
Bollinger Bands (BB) usually expand quickly after a volatility increase but contract more slowly as volatility declines. This extended time it takes for BB to contract after a volatility drop can make trading some instruments using BB alone difficult or less profitable.
In the October 1998 issue of "Futures" there is an article written by Dennis McNicholl called "Better Bollinger Bands", in which the author recommends improving BB by modifying:
- the center line formula &
- different equations for calculating the bands.
These bands, called "DEnvelope", follow price more closely and respond faster to changes in volatility with these modifications.
Fore more indicators, check out my "Master Index of indicators" (Also check my published charts page for new ones I haven't added to that list):
More scripts related to DEnvelope:
------------------------------------------------
- DEnvelope Bandwidth: pastebin.com
- DEnvelope %B : pastebin.com
Sample chart with above indicators: www.tradingview.com
Pulse Wave Matrix [SCALPER]════════════════════════════════════════════════════════════════════════════════
PULSE WAVE MATRIX - SCALPER EDITION | QUICK GUIDE
════════════════════════════════════════════════════════════════════════════════
█ WHAT IS PWM?
PWM detects when price is "coiling" (compression) and about to explode.
• ORANGE DOTS = Spring compressing (GET READY)
• GREEN DOT = Spring released (TAKE ACTION)
════════════════════════════════════════════════════════════════════════════════
█ READING THE INDICATOR
════════════════════════════════════════════════════════════════════════════════
HISTOGRAM BARS:
• BRIGHT CYAN = Strong bullish (best for longs)
• DARK CYAN = Bullish weakening (consider exit)
• BRIGHT RED = Strong bearish (best for shorts)
• DARK RED = Bearish weakening (consider exit)
CENTER DOTS:
• ORANGE = Compression active → WAIT
• GREEN = Compression released → LOOK FOR ENTRY
• GRAY = Normal market → SCAN
SIGNALS:
• ▲ Green Triangle = HIGH-PROBABILITY LONG
• ▼ Red Triangle = HIGH-PROBABILITY SHORT
• ● Small Circle = Quick scalp (lower probability)
════════════════════════════════════════════════════════════════════════════════
█ HOW TO TRADE (3 Simple Steps)
════════════════════════════════════════════════════════════════════════════════
STEP 1: WAIT FOR SETUP
→ Orange dots appear (compression)
→ Panel shows "Pulse: READY"
STEP 2: WAIT FOR TRIGGER
→ Green dot appears (released)
→ Triangle signal appears
→ Check histogram: CYAN = Long, RED = Short
STEP 3: EXECUTE
→ Enter on triangle signal
→ Set SL: 1.5x ATR below/above entry
→ Set TP: 2x SL distance
════════════════════════════════════════════════════════════════════════════════
█ ENTRY CHECKLIST
════════════════════════════════════════════════════════════════════════════════
BEFORE ENTERING, CONFIRM:
☑ Green dot visible (pulse released)
☑ Triangle or circle signal present
☑ Histogram color matches direction
☑ Panel "Trend" aligns with trade
☑ RSI not showing OB! or OS!
DO NOT ENTER IF:
✗ Still orange dots (not released)
✗ Trend opposite to signal
✗ RSI at extreme
✗ Major news coming
════════════════════════════════════════════════════════════════════════════════
█ EXIT RULES
════════════════════════════════════════════════════════════════════════════════
EXIT IMMEDIATELY:
• Stop loss hit
• Take profit hit
• Opposite triangle appears
EXIT SOON:
• Histogram color fading (bright → dark)
• New orange dots appear
════════════════════════════════════════════════════════════════════════════════
█ RISK MANAGEMENT
════════════════════════════════════════════════════════════════════════════════
• Risk 1-2% per trade MAX
• Stop after 3 losses in a row
• Maximum 5-7 trades per day
• Primary signals (▲▼) = Full size
• Quick signals (●) = Half size
════════════════════════════════════════════════════════════════════════════════
█ RECOMMENDED SETTINGS
════════════════════════════════════════════════════════════════════════════════
FOR 5-MINUTE CHARTS:
Pulse Length: 8 | Wave Length: 5
ATR Length: 7 | Signal Smooth: 2
SL Multiplier: 1.2 | TP Ratio: 1.5
FOR 15-MINUTE CHARTS:
Pulse Length: 10 | Wave Length: 6
ATR Length: 8 | Signal Smooth: 3
SL Multiplier: 1.5 | TP Ratio: 2.0
════════════════════════════════════════════════════════════════════════════════
█ BEST TRADING TIMES
════════════════════════════════════════════════════════════════════════════════
FOREX: 8:00 - 11:00 AM EST (London-NY overlap)
CRYPTO: 9:00 - 11:00 AM EST (US morning)
STOCKS: 10:30 - 11:30 AM EST (post-open)
AVOID: Major news events, low volume periods
════════════════════════════════════════════════════════════════════════════════
█ COMMON MISTAKES
════════════════════════════════════════════════════════════════════════════════
✗ Entering during orange dots (too early)
✗ Trading against trend filter
✗ Moving stop loss further away
✗ Taking every signal without filtering
✗ Overtrading (20+ trades/day)
════════════════════════════════════════════════════════════════════════════════
█ QUICK REFERENCE
════════════════════════════════════════════════════════════════════════════════
LONG TRADE:
Orange dots → Green dot → Cyan bars rising → ▲ Triangle → BUY
SHORT TRADE:
Orange dots → Green dot → Red bars falling → ▼ Triangle → SELL
HOLD UNTIL:
Histogram fades OR TP hit OR opposite signal
════════════════════════════════════════════════════════════════════════════════
█ REMEMBER
════════════════════════════════════════════════════════════════════════════════
• Wait for GREEN DOT before looking for entries
• Only trade when TREND aligns with signal
• Always use STOP LOSS - no exceptions
• Quality over quantity - skip weak setups
60% win rate + 1:2 RR = PROFITABLE
════════════════════════════════════════════════════════════════════════════════
GOOD LUCK & HAPPY SCALPING!
════════════════════════════════════════════════════════════════════════════════
Danny's Quarter Zones - CompleteThis is a very good indicator which can make anybody profitable even me. so that's why im sharing it with you all . it was made specifically for NQ. to use it on ES I would have to mess around and see what works best. as it is it is good for NQ.
Multi-MA SuiteMulti-MA Suite - Customizable Moving Averages Indicator
Overview
Multi-MA Suite is a comprehensive moving average indicator that combines both Exponential Moving Averages (EMAs) and Simple Moving Averages (SMAs) in a single, highly customizable tool. Designed for traders who rely on multiple timeframe analysis, this indicator provides up to 9 moving averages (5 EMAs + 4 SMAs) with full control over visibility, color schemes, and parameters.
Key Features
✓ Dual MA Types:
5 Exponential Moving Averages (EMAs) - Responsive to recent price action, ideal for short to medium timeframes
4 Simple Moving Averages (SMAs) - Slow and stable, specifically designed for long timeframe analysis
✓ Full Customization:
Individual toggle switches to show/hide each moving average
Custom color picker for each MA line
Adjustable length and source for all moving averages
Progressive line width (thicker lines for longer periods)
✓ Pre-configured Defaults:
EMA: 9, 21, 50, 100, 200 (common swing trading periods)
SMA: 50, 100, 200, 300 (institutional reference levels for long-term trends)
Color-coded scheme: Warm colors (yellow-orange) for EMAs, Cool colors (blue-purple) for SMAs
✓ Clean Interface:
Organized input groups for easy navigation
Clear labeling and logical parameter ordering
Minimal chart clutter with toggle controls
Key Difference - Speed & Timeframe:
EMAs: Fast and reactive → Best for short to medium timeframes (1-min to 4-hour charts)
SMAs: Slow and smooth → Best for long timeframes (daily, weekly, monthly charts)
Recommended Settings
Day Trading (Short Timeframes):
Focus on EMAs: 9, 21, 50
Use 1-minute to 15-minute charts
SMAs react too slowly for intraday timeframes
Swing Trading (Medium Timeframes):
Use all EMAs with SMA 50 and 200
1-hour to daily charts work best
Mix of EMAs for entries, SMAs for trend context
Position Trading (Long Timeframes):
Focus primarily on SMAs: 50, 100, 200, 300
Daily to weekly charts recommended
SMAs excel here due to their slow, stable nature
Can add EMA 200 for comparison
Investment Analysis (Very Long Timeframes):
SMAs only: 100, 200, 300
Weekly to monthly charts
SMA's slow calculation filters noise perfectly for long-term trends
EMA Timeframe-Specific Recommendations
📌 Important Notes on EMA Usage by Timeframe:
Small Timeframes (5-minute and 15-minute charts):
Use 9 EMA and 21 EMA
These fast EMAs respond quickly to price changes
Perfect for scalping and day trading
The 9/21 EMA crossover is a popular day trading strategy
Medium Timeframes (1-hour to 4-hour charts):
Use 21 EMA and 50 EMA
Balances responsiveness with trend reliability
Ideal for swing trading and intraday position holding
The 21/50 EMA combination filters out noise while staying responsive
Long Timeframes (Daily and Weekly charts):
Use 50 EMA and 200 EMA
The classic trend-following combination
50 EMA for medium-term trend, 200 EMA for major trend
The 50/200 EMA crossover is known as the "Golden Cross" (bullish) or "Death Cross" (bearish)
For very long-term analysis on these timeframes, consider using SMAs instead
Quick Reference Guide:
5m / 15m: EMA 9 & 21
1h / 4h: EMA 21 & 50
1D / 1W: EMA 50 & 200 (or switch to SMAs for even smoother signals)
Practical Trading Strategy with EMAs
📌 Why Use EMAs for Active Trading:
For active trading, use EMAs because they have faster movement compared to SMAs. This faster response to price changes allows you to catch trends earlier and exit trades before major reversals occur.
Three-EMA Trading System:
1. 9 EMA - Quick Trend Recognition:
Use the 9 EMA to understand the trend quickly
When price is above 9 EMA = Short-term uptrend
When price is below 9 EMA = Short-term downtrend
The 9 EMA reacts immediately to price momentum changes
Perfect for entry timing and quick trend identification
2. 21 EMA - Exit Signal and Trend Confirmation:
When the 21 EMA breaks (price crosses it), exit your trade
This is critical because when the 21 EMA breaks, the trend will likely reverse
The 21 EMA acts as your "stop-loss line"
Breaking the 21 EMA signals that the short-term momentum has shifted
Example: In an uptrend, when price crosses below 21 EMA, exit longs immediately
Example: In a downtrend, when price crosses above 21 EMA, exit shorts immediately
3. 50 EMA - Full Correction Understanding:
Use the 50 EMA to understand the complete correction
The 50 EMA shows where the full pullback or correction might end
When price reaches the 50 EMA, it often bounces (in a strong trend)
Breaking the 50 EMA indicates a deeper correction or potential trend reversal
Use it to gauge the strength of the overall trend
Customization Tips
Toggle unnecessary MAs off to reduce chart clutter based on your trading style and timeframe
For the 3-EMA trading strategy, enable only 9, 21, and 50 EMAs
For long timeframes (daily+), disable EMAs and use only SMAs to avoid over-reactive signals
Match your EMA selection to your timeframe using the guide above
Adjust colors to match your chart theme or to highlight specific MAs
Modify lengths to fit specific market conditions or asset volatility
Change source from close to high/low/HL2 for alternative perspectives
Use thicker lines for key decision MAs (edit linewidth in settings)
Color Scheme Rationale
EMAs (Warm Colors):
Yellow → Orange progression represents increasing timeframes while maintaining visual cohesion. The warm palette signals "active" or "fast-reacting" nature of EMAs, perfect for shorter timeframes and active trading.
SMAs (Cool Colors):
Blue → Purple progression provides clear visual distinction from EMAs. The cool palette suggests "stable," "slow," and "smooth" characteristics of SMAs, ideal for long timeframe analysis.
What Makes This Different?
Unlike basic MA indicators, Multi-MA Suite provides:
Both EMA and SMA in one indicator (saves indicator slots)
Optimized MA selection based on speed characteristics - fast EMAs for short timeframes, slow SMAs for long timeframes
Clear timeframe-specific EMA recommendations for immediate use
Practical trading strategy included - 9 EMA for trend, 21 EMA for exit, 50 EMA for corrections
Individual control over each MA (toggle, color, parameters)
Thoughtful default settings based on widely-used trading periods
Color-coded system for instant visual differentiation
Clean, organized interface for efficient workflow
Installation & Usage
Add the indicator to your chart
Open indicator settings to customize
For active trading: Enable 9, 21, and 50 EMAs (the recommended trading system)
Select appropriate MAs for your timeframe (use the EMA timeframe guide above)
Toggle MAs on/off based on your analysis needs
Adjust colors if desired to match your chart theme
Modify lengths and sources as needed for your strategy
⚠️ IMPORTANT DISCLAIMER
EDUCATIONAL AND INFORMATIONAL PURPOSES ONLY
This indicator and its accompanying documentation are provided for educational and informational purposes only. The content does not constitute financial advice, investment advice, trading advice, or any other sort of advice, and you should not treat any of the indicator's content as such.
NO GUARANTEE OF RESULTS
Past performance is not indicative of future results. The strategies, techniques, and concepts discussed herein are provided "as is" without any warranty of any kind. Trading and investing in financial markets involves substantial risk of loss and is not suitable for every investor.
RISK ACKNOWLEDGMENT
You can lose money trading: Trading stocks, forex, futures, options, cryptocurrencies, and other financial instruments carries a high level of risk and may not be suitable for all investors. You may sustain a total loss of your investment.
No guaranteed profits: The use of moving averages or any technical indicator does not guarantee profitable trades. Markets can remain irrational longer than you can remain solvent.
Lagging indicators: All moving averages are lagging indicators based on historical price data and may not predict future price movements.
False signals: Moving averages can produce false signals, especially in choppy, sideways, or low-volume market conditions.
YOUR RESPONSIBILITY
Do your own research: Before making any trading or investment decision, you should conduct your own research and due diligence.
Consult professionals: Consider seeking advice from qualified financial advisors, certified public accountants, or licensed professionals before making financial decisions.
Risk management: Always use proper risk management, including stop-losses, position sizing, and diversification.
Demo trading: Test any strategy on a demo account before risking real capital.
Understand the markets: Ensure you fully understand the markets you're trading and the risks involved.
PERSONAL TRADING DECISIONS
All trading decisions are made at your own discretion and at your own risk. You are solely responsible for all trading decisions you make. The strategies mentioned (including the 9/21/50 EMA system) are examples only and should not be followed blindly without proper testing and risk assessment.
MARKET CONDITIONS VARY
Market conditions change constantly. What works in one market condition may not work in another. Trending strategies (like the ones discussed) typically perform poorly in ranging markets. Adapt your approach based on current market conditions.
USE AT YOUR OWN RISK
By using this indicator, you acknowledge that you have read this disclaimer and agree to be bound by its terms. If you do not agree with any part of this disclaimer, do not use this indicator.
Gamma Levels - Options Flow# 📊 Gamma Levels - Options Flow Indicator
## TradingView Free Indicator - By AsiaQuant
---
## 🎯 What Is This?
**Gamma Levels** is a simplified TradingView indicator that shows estimated support and resistance levels based on institutional options positioning. It helps traders identify key price zones where options market makers are likely positioned.
### Key Features:
- **⚡ Gamma Flip Level**: The inflection point where dealer hedging behavior changes
- **🔴 Call Wall**: Overhead resistance from call option concentration
- **🟢 Put Support**: Downside support from put option concentration
- **🎯 Trading Zone**: The range between support and resistance
- **📊 Regime Detection**: Positive vs Negative Gamma environments
---
## 📈 How To Use
### 1. **Gamma Flip Level (⚡)**
The Gamma Flip is the most critical level. It represents where market maker hedging flips from stabilizing to destabilizing:
- **Above Gamma Flip**: Positive gamma environment → Lower volatility, mean reversion
- **Below Gamma Flip**: Negative gamma environment → Higher volatility, trend continuation
**Trading Strategy:**
- When price is **above** gamma flip: Fade extremes, trade ranges
- When price is **below** gamma flip: Follow momentum, breakouts more likely
### 2. **Call Wall (🔴)**
The Call Wall represents overhead resistance where heavy call open interest sits:
- Acts as a **magnet** when price approaches from below
- Acts as **resistance** when price tests it
- Breaking above often leads to squeeze moves
**Trading Strategy:**
- Use as profit target for long positions
- Watch for rejection and reversal setups
- Breaking through = potential gamma squeeze
### 3. **Put Support (🟢)**
The Put Support level shows where heavy put positioning provides downside support:
- Acts as **support** on pullbacks
- Breaking below signals bearish momentum
- Often bounces near this level
**Trading Strategy:**
- Use as entry zone for long positions
- Stop loss just below this level
- Breaking through = potential flush lower
### 4. **Trading Zone (Blue Shaded Area)**
The zone between Call Wall and Put Support shows the expected trading range:
- **Narrow zones** = Low volatility, potential breakout setup
- **Wide zones** = High volatility, choppy action expected
- Price tends to stay within this zone
---
## 🚦 Regime Guide
### Positive Gamma Regime (Green Background)
- Price above Gamma Flip
- Lower volatility expected
- Mean reversion strategies work better
- Selling premium strategies favorable
### Negative Gamma Regime (Red Background)
- Price below Gamma Flip
- Higher volatility expected
- Trend following strategies work better
- Directional trades more profitable
---
## ⚠️ Important Limitations
This is a **SIMPLIFIED** indicator that uses price action and volume as proxies for options positioning. It does NOT use real options chain data.
### What This Indicator Does:
✅ Estimates levels using VWAP and ATR
✅ Shows general zones of interest
✅ Provides educational framework
✅ Works on any timeframe
### What This Indicator CANNOT Do:
❌ Access real options open interest
❌ Calculate actual gamma exposure
❌ Account for 0DTE dynamics
❌ Include Vanna/Charm effects
❌ Use volatility surface interpolation
---
## 🔓 Want The Full Professional Version?
### **GEX Pro - Institutional Grade Analysis**
**Visit: (gexpro.asiaquant.com)**
#### What You Get:
- ✅ **Real Options Data**: Live OI and volume from actual options chains
- ✅ **20+ Metrics**: GEX, DEX, Vanna, Charm, Volga, IV Skew, and more
- ✅ **0DTE Logic**: Proprietary algorithm for same-day expiration positioning
- ✅ **Volatility Surface**: Cubic spline interpolation eliminates "ghost walls"
- ✅ **Shadow Gamma**: Advanced second-order risk exposure
- ✅ **Multi-Expiration**: Analyze 0DTE, weekly, and monthly expirations simultaneously
- ✅ **Directional Scoring**: AI-powered conviction scoring with 5 components
- ✅ **Trade Ideas**: Specific setups based on positioning
- ✅ **440+ Tickers**: SPY, QQQ, IWM, AAPL, TSLA, NVDA, and more
#### The Difference:
| Feature | TradingView Free | GEX Pro |
|---------|------------------|---------|
| Data Source | Price/Volume Proxy | Real Options Chains |
| Gamma Calculation | Estimated | Actual Black-Scholes |
| Advanced Greeks | ❌ | ✅ Vanna, Charm, Volga |
| 0DTE Handling | ❌ | ✅ Volume Priority |
| Vol Surface | ❌ | ✅ Cubic Spline |
| Conviction Score | ❌ | ✅ 5-Component Model |
| Trade Setups | ❌ | ✅ Directional Ideas |
---
## 📚 Educational Resources
### Recommended Reading:
1. **"Gamma Exposure and Market Dynamics"** - Understanding dealer hedging
2. **"Volatility Trading"** by Euan Sinclair - Options Greeks in practice
3. **"The Volatility Surface"** by Jim Gatheral - Advanced vol modeling
### Key Concepts:
- **Gamma Exposure (GEX)**: The rate of change of delta with respect to price
- **Dealer Hedging**: How market makers adjust their stock positions
- **Positive Gamma**: Dealers buy dips, sell rips → stabilizing
- **Negative Gamma**: Dealers sell dips, buy rips → destabilizing
- **Vanna**: Sensitivity to spot and volatility changes
- **Charm**: Time decay of delta
---
## 🎓 Best Practices
### ✅ DO:
- Use in conjunction with price action and volume
- Combine with support/resistance levels
- Pay attention to regime changes
- Use for planning entries/exits
- Monitor gamma flip proximity
### ❌ DON'T:
- Rely solely on this indicator
- Ignore overall market conditions
- Trade against strong trends
- Over-leverage based on levels
- Treat estimates as absolute truth
---
## 📊 Example Scenarios
### Scenario 1: Approaching Call Wall
- Price rallies toward Call Wall ($595 on SPY)
- Volume increases as it approaches
- **Action**: Consider taking profits on longs, watch for rejection
### Scenario 2: Gamma Flip Cross
- Price crosses below Gamma Flip
- Regime changes to Negative Gamma
- **Action**: Reduce range trading, prepare for momentum
### Scenario 3: Bouncing Off Put Support
- Price tests Put Support ($580 on SPY)
- High volume at the test
- **Action**: Entry for longs with stop below support
---
## 🔧 Settings Guide
### Lookback Period (Default: 20)
- **Lower (10-15)**: More responsive, better for day trading
- **Higher (30-50)**: Smoother, better for swing trading
### Volatility Multiplier (Default: 1.5)
- **Lower (1.0-1.2)**: Tighter zones, more frequent tests
- **Higher (2.0-3.0)**: Wider zones, fewer tests but stronger
### Display Options
- Toggle individual levels on/off based on your strategy
- Customize colors to match your chart theme
---
## ❓ FAQ
**Q: Why don't the levels match actual options strikes?**
A: This free version uses price action approximations. For real strike-level precision, use GEX Pro.
**Q: How often should levels update?**
A: The indicator recalculates every bar. For real options data that updates throughout the day, use GEX Pro.
**Q: Can I use this for day trading?**
A: Yes, but it's approximations. For intraday 0DTE positioning, GEX Pro has specialized logic.
**Q: What timeframe works best?**
A: Works on all timeframes, but 15min-1hour is optimal for the simplified calculation.
**Q: Is this better than just support/resistance?**
A: It adds an options perspective, but should complement (not replace) standard TA.
---
## 🚀 Upgrade To GEX Pro
Ready for institutional-grade analysis?
### ** (gexpro.asiaquant.com)**
- Real options data from 440+ tickers
- 20+ advanced metrics
- AI-powered trade signals
- Professional-grade analytics
- API access available
**Stop guessing. Start knowing where the institutions are positioned.**
---
## 📧 Support & Contact
- **Website**: (gexpro.asiaquant.com)
- **Questions**: Contact form on website
- **TradingView**: Leave comments on the indicator
---
## ⚖️ Disclaimer
This indicator is for **educational purposes only**. It is not financial advice. Options and derivatives trading involves significant risk. Past performance does not guarantee future results. Always do your own research and consult with a financial advisor before making trading decisions.
The simplified calculations in this free version are approximations and may not reflect actual market conditions. For professional trading decisions, use verified data sources and professional-grade tools.
---
**Version**: 1.0
**Last Updated**: December 2024
**Created By**: AsiaQuant Research
### 🔓 **Unlock the full power: (gexpro.asiaquant.com)**
MA Crossover with R SquaredThis indicator enhances the classic Moving Average (MA) crossover strategy with statistical filtering and prediction capabilities.
Let me explain what it does:
Instead of just showing when a fast MA crosses above/below a slow MA, this indicator adds R² (R-squared) filtering to identify higher-quality crossovers and predicts future crossovers.
What is R²?
R² (Coefficient of Determination) is a statistical measure that shows how well one variable explains the movement of another variable. In simpler terms:
R² = 1.0: Perfect relationship - 100% of the movement in one MA is explained by the other MA
R² = 0.8: Strong relationship - 80%
R² = 0.5: Moderate relationship - 50%
R² = 0.0: No relationship - 0%
Imagine two cars driving on a highway:
High R² (0.9): Both cars are in the same lane, moving together consistently
Low R² (0.3): One car is weaving between lanes while the other stays straight - poor coordination.
Traditional MA crossovers often generate false signals during:
Choppy markets (price bouncing around)
Sideways/ranging markets
Low volatility periods
News events causing temporary spikes
The R² Solution:
R² acts as a "quality filter" that answers: "How meaningful this crossover is?"
What this means:
Before R² filtering: Every crossover generates a signal
After R² filtering: Only crossovers with R² > threshold generate signals
Result: Fewer but higher-quality signals.
MARKET REGIME DETECTION
High R² (> 0.7): Strong trending market - MA crossovers are reliable
Medium R² (0.4-0.7): Moderate trending - use with caution
Low R² (< 0.4): Choppy/range-bound market - avoid MA crossover signals
Increasing R²: MAs are converging/moving together more closely
Decreasing R²: MAs are diverging/losing coordination
Sudden R² drop: Potential market regime change.
Why Square the Correlation?
Correlation: Measures direction AND strength (-1 to +1)
R²: Measures strength ONLY (0 to 1)
In trading: We care about relationship strength, not direction
Direction is already indicated by crossover type (bullish/bearish)
Real-World Interpretation:
If R² = 0.64, it means:
64% of the variation in the fast MA is explained by the slow MA
36% is "noise" or unexplained movement
The MAs are moderately coordinated.
R² Trend Confirmation:
Entry: When crossover occurs AND R² is above threshold
Confirmation: R² continues rising after entry
Exit: R² drops below threshold (relationship weakening)
Multi-Timeframe R² Analysis
Check R² on higher timeframe for trend context
Use current timeframe for entry signals
Example: Daily R² > 0.7 gives bullish bias, use 1-hour for entries.
R² LIMITATIONS & CAUTIONS
1. Lagging Nature
R² is calculated from past data
By the time R² is high, the trend may already be established
2. Not a Standalone Indicator
R² should confirm other signals, not generate them alone
Always combine with price action, volume, support/resistance
3. Curve Fitting Risk
Don't over-optimize R² thresholds on historical data
What worked in the past may not work in the future
Use R² as a filter, not a predictor
4. Market-Specific Behavior
R² thresholds that work in trending stocks may fail in Forex
Cryptocurrencies may require different R² settings than commodities
Always test on your specific market/instrument
Before Taking Any Signal:
✅ Does the crossover have a colored circle? (R² > threshold)
✅ What's the R² number shown? (Higher = better)
✅ Is R² rising or falling? (Rising = strengthening relationship)
✅ Check history table - what happened with similar R² values?
✅ Consider prediction - does it align with current signal?
Simple R² Rules of Thumb:
R² > 0.8: Excellent signal quality
R² 0.6-0.8: Good signal quality
R² 0.4-0.6: Moderate - use additional confirmation
R² < 0.4: Poor - avoid or use extreme caution
Think of R² as:
A quality control inspector for MA crossovers
A relationship therapist for your moving averages
A statistical bouncer that only lets strong signals through
Higher win rate + Better risk/reward = More profitable trading
This script transforms the basic "when lines cross" approach into a sophisticated, statistically-validated trading system. R² is the secret sauce that separates random crossovers (Golden/Death) from meaningful trend changes.
DISCLAIMER: This information is provided for educational purposes only and should not be considered financial, investment, or trading advice. Please do boost if you like it. Happy Trading.
Body Close Continuity & failure Backtesting @MaxMaseratiThis indicator, is a highly advanced institutional-grade tool designed to track the "lifespan" of a trend based on Body Close (BC) sequences.
Unlike basic indicators that just show direction, this script analyzes the structural integrity of a trend by monitoring how many candles continue the move before a "Touch" (retest) or a "Break" (failure) occurs.
The Continuity & Failure Stats indicator tracks sequences of Bullish Body Closes (BuBC) and Bearish Body Closes (BeBC). It measures three critical phases: Building (pure momentum), Touching (price retesting the low/high of the sequence), and Resumption (price continuing the trend after a retest). It provides a statistical distribution of how long these "buildings" typically last before failing, allowing traders to know exactly when a trend is overextended.
This comprehensive analysis blends the statistical breakdown of the Continuity & Failure Stats indicator to provide a deep understanding of the structural momentum for the S&P 500 E-mini (ES1!) on a 4-hour timeframe.
1. Extensive Table Breakdown
A. Building Distribution (Left Table): The Fatigue Gauge
This table acts as a histogram of momentum, tracking the "Building Count"—the number of consecutive candles closing in a trend without price returning to its origin.
Count Column: Represents the streak length (e.g., 1, 2, or 3 candles).
Touch Column: Shows how many times a streak was interrupted by a retest ("touch") but remained structurally intact.
Break Column: Counts total structural failures where price closed beyond the sequence's anchor.
Data Insight: For BuBC, 92 sequences reached Count 1, but only 28 remained by Count 4. This reveals a steep momentum decay after the 3rd candle, establishing a "Statistical Wall" where only 2 sequences in history reached a count of 9.
B. MMM Summary Stats (Top Right): The Mathematical DNA
This table provides the "Expected Value" and behavior of a trend over the lookback period.
Avg Building (2.39 for BuBC): On average, a bullish move lasts ~2.4 candles of pure momentum before a retest or reversal occurs.
Avg Touches (0.8): This low number indicates "clean" trends that rarely wobble back to retest levels multiple times before reaching a conclusion.
Avg R Cycles (0.55): This suggests that once a bullish trend is interrupted, it only successfully resumes its momentum about half the time.
Max R Count (1): Typically, once a trend is "touched," it only manages one more push before failing.
C. Multi-Timeframe (MTF) Quick Stats (Bottom Right): Trend Weight
This compares the 4H chart against other layers of the market to identify "global" alignment.
Sample Comparison: There are 3,594 tracked BuBC sequences on the 4H compared to only 142 on the Weekly chart.
Fractal Law: The Avg Building (2.4) is consistent across several timeframes, implying that the "Rule of Three" (momentum fading after 3 candles) is a fractal characteristic of this asset.
2. Table Comparison: Synthesizing the Data
To trade effectively, you must compare Distribution (timing) against Summary Stats (averages):
Continuity vs. Failure: The Summary Stats show an average building of 2.39. When checking the Distribution table at Count 2, the "Break" count (58) is already high relative to the "Total". This confirms that the risk of failure increases exponentially the moment you exceed the average.
Momentum vs. Mean Reversion: Distribution tells you when a trend is "tired". If the 4H is at a "Building Count 4" (statistically overextended) while the Weekly chart is at "Building Count 1" (fresh momentum), you may choose to prioritize the higher timeframe's strength despite the local overextension.
3. Strategic Summary & Application
This indicator proves that market momentum follows a predictable "Building" cycle rather than an infinite streak.
The "Rule of Three" for ES1! 4H:
The Entry Zone (Momentum Start): The most profitable entries occur at Building Count 1. Statistically, you have a high probability of reaching a count of 2 or 3.
The Exit Zone (Momentum Limit): Take profits or tighten stops at Count 3. The data shows the sample size drops by nearly 50% between Count 3 and Count 4.
The "Touch" Rule (Retest Reliability): If price returns to the sequence low (a "Touch"), do not expect a massive continuation. The Max R Count of 1 tells us that resumptions are usually short-lived.
Danger Zone: Entering at Building Count 4 or higher is statistically dangerous, as the "Break" probability significantly outweighs the "Touch" or continuation probability.
Fundamental Dashboard [Standalone]Overview
The Fundamental Strength Dashboard is a streamlined utility designed to evaluate the fundamental health of a stock directly on your chart. Instead of relying solely on price action, this indicator fetches real-time financial data to assess profitability, valuation, and financial stability.
It aggregates five core financial metrics into a single "Fundamental Score" (0-5) and displays a clear rating (Strong Buy, Buy, Neutral, or Weak/Sell) in a customizable dashboard table.
How It Works
The script analyzes the following 5 Key Fundamental Metrics. For a stock to receive a "point" for a specific metric, it must meet the criteria defined in your settings:
Net Income (Profitability): Checks if the company is actually profitable (Net Income > 0).
EPS (Earnings Per Share): Ensures the company has positive Earnings Per Share (TTM).
P/E Ratio (Valuation): Checks if the stock is valued reasonably compared to your maximum threshold (default: < 45).
Debt-to-Equity (Leverage): Analyzes financial risk. Lower is better (default: < 0.5).
ROE (Efficiency): Measures how effectively management uses equity to generate profit (default: > 15%).
The Scoring System
The indicator calculates a cumulative score based on how many of the above criteria are met:
Score 5/5 → STRONG BUY: The stock meets all profitability, valuation, and stability criteria.
Score 4/5 → BUY: The stock misses only one criterion but is otherwise fundamentally sound.
Score 0-3 → WEAK / SELL: The stock fails multiple fundamental checks (e.g., negative earnings, high debt, or overvaluation).
Features & Customization
Every trader has different risk appetites and sector preferences. You can fully customize the thresholds in the Settings menu:
Max P/E Threshold: Adjust this based on the sector (e.g., Tech stocks typically have higher P/Es than Utilities).
Min ROE %: Set your requirement for management efficiency.
Max Debt/Equity: Tighten or loosen leverage requirements.
Visuals: Change the table position (Top Right, Bottom Right, etc.) and color scheme to match your chart theme.
How to Use
Add the indicator to your chart.
Open the Settings (Gear icon).
Adjust the Dynamic Thresholds to fit the sector you are trading.
Look at the dashboard on the chart to see a snapshot of the stock's fundamental health.
Disclaimer
This script is for educational and informational purposes only. It relies on third-party financial data provided by TradingView, which may occasionally be missing or delayed. Always do your own research (DYOR) before making investment decisions.
EMA and Dow Theory Strategies V2📘 Overview
This strategy is an advanced evolution of the original EMA × Dow Theory hybrid model. V2 introduces true swing‑based trend detection, gradient trend‑zones, higher‑timeframe swing overlays, and dynamic exit logic designed for intraday to short‑term trading across crypto, forex, stocks, and indices.
The system provides precise entries, adaptive exits, and highly visual guidance that helps traders understand trend structure at a glance.
🧠 Key Features
🔹 1. Dual‑EMA Trend Logic (Symbol + External Index)
Both the chart symbol and an external index (OTHERS.D) are evaluated using fast/slow EMAs to determine correlation‑based trend bias.
🔹 2. Dow Theory Swing Detection (Real‑time)
The script identifies swing highs/lows and updates trend direction when price breaks them. This creates a structural trend model that reacts faster than EMAs alone.
🔹 3. Gradient Trend Zones (Visual Trend Strength)
When trend is up or down, the area between price and the latest swing level is filled with a multi‑step gradient. This makes trend strength and distance-to-structure visually intuitive.
🔹 4. Higher‑Timeframe Swing Trend (htfTrend)
Swing highs/lows from a higher timeframe (e.g., 4H) are plotted to show macro structure. Used only for visual context, not for filtering entries.
🔹 5. RSI‑Based Entry Protection
RSI prevents entries during extreme overbought/oversold conditions.
🔹 6. Dynamic Exit System
Includes:
Custom stop‑loss (%)
Partial take‑profit (TP1/TP2/TP3)
Automatic scale‑out when trend color weakens
“Color‑change lockout” to prevent immediate re‑entry
Real‑time PnL tracking and labels
🔹 7. Alerts for All Key Events
Entry, stop‑loss, partial exits, and trend‑change exits all generate structured JSON alerts.
🔹 8. Visual PnL Labels & Equity Tracking
PnL for the latest trade is displayed directly on the chart, including scale‑out adjustments.
⚙️ Input Parameters
Parameter Description
Fast EMA / Slow EMA EMAs used for symbol trend detection
Index Fast / Slow EMA EMAs applied to external index
StopLoss (%) Custom stop‑loss threshold
Scale‑Out % Portion to exit when trend color weakens
RSI Period / Levels Overbought/oversold filters
Swing Detection Length Bars used to detect swing highs/lows
Stats Display Position of statistics table
🧭 About htfTrend (Higher Timeframe Trend)
The higher‑timeframe swing trend is displayed visually but not used for entry logic.
Why? Strict HTF filtering reduces trade frequency and often removes profitable setups. By keeping it visual‑only, traders retain flexibility while still benefiting from macro structure awareness.
Use it as a contextual guide, not a constraint.
📘 概要
本ストラテジーは、V1 を大幅に拡張した EMA × ダウ理論 × スイング構造 × 上位足トレンド可視化 の複合型モデルです。 短期〜デイトレード向けに最適化されており、仮想通貨・FX・株式・指数など幅広いアセットで利用できます。
V2 では、スイング構造の自動検出、グラデーションによるトレンド強度の可視化、上位足スイングライン、動的な利確/損切りロジック が追加され、視覚的にもロジック的にも大幅に強化されています。
🧠 主な機能
🔹 1. 銘柄+外部インデックスの EMA クロス判定
対象銘柄と OTHERS.D の EMA を比較し、相関を考慮したトレンド方向を判定します。
🔹 2. ダウ理論に基づくスイング高値・安値の自動検出
スイング更新によりトレンド方向を切り替える、構造ベースのトレンド判定を採用。
🔹 3. グラデーション背景によるトレンド強度の可視化
スイングラインから現在価格までを段階的に塗り分け、 「どれだけトレンドが伸びているか」を直感的に把握できます。
🔹 4. 上位足スイングトレンド(htfTrend)の表示
4H などの上位足でのスイング高値・安値を表示し、 大局的なトレンド構造を視覚的に把握できます(ロジックには未使用)。
🔹 5. RSI による過熱・売られすぎフィルター
極端な RSI 状態でのエントリーを防止。
🔹 6. 動的イグジットシステム
カスタム損切り(%)
TP1/TP2/TP3 の段階的利確
トレンド色の弱まりによる自動スケールアウト
色変化後の再エントリー制限(waitForColorChange)
リアルタイム PnL の追跡とラベル表示
🔹 7. アラート完備(JSON 形式)
エントリー、損切り、部分利確、トレンド反転などすべてに対応。
🔹 8. 損益ラベル・統計表示
直近トレードの損益をチャート上に表示し、視覚的に把握できます。
⚙️ 設定項目
設定項目名 説明
Fast / Slow EMA 銘柄の EMA 設定
Index Fast / Slow EMA 外部インデックスの EMA 設定
損切り(%) カスタム損切りライン
部分利確割合 トレンド弱化時のスケールアウト割合
RSI 期間・水準 過熱/売られすぎフィルター
スイング検出期間 スイング高値・安値の検出に使用
統計表示位置 テーブルの表示位置
🧭 上位足トレンド(htfTrend)について
上位足スイングの更新に基づくトレンド判定を表示しますが、 エントリー条件には使用していません。
理由: 上位足を厳密にロジックへ組み込むと、トレード機会が大幅に減るためです。
本ストラテジーでは、 「大局の把握は視覚で、エントリーは柔軟に」 という設計思想を採用しています。
→ 裁量で利確判断や逆張り回避に活用できます。
FVG Strategy with validationThe code needs to be fixed because it renders the boxes incorrectly, otherwise you can see that the code is profitable in some markets
BTC - Metcalfes Law (Deviation)Title: BTC – Metcalfe's Law (Deviation) | RM
Overview & Philosophy
The BTC – Metcalfe's Law (Deviation) is a fundamental valuation oscillator that answers one of the most important questions in network economics: "Is the current price justified by the number of active users?" Metcalfe's Law states that the value of a network is proportional to the square of the number of its connected users (Value = Users squared). In the context of Bitcoin, this means that as the number of active addresses grows linearly, the network's fair value should grow exponentially.This script identifies periods where Bitcoin’s market capitalization has become "overextended" or "undervalued" relative to its actual network activity.
Methodology
The indicator performs a rolling log-log regression (Ordinary Least Squares) between Bitcoin's Market Cap and its Active Address count over a 730-day (2-year) window.
1. The Regression: The script calculates the statistical relationship: ln(Market Cap) = alpha + beta * ln(Active Addresses)
2. Pure Metcalfe vs. Generalized Metcalfe:
• Pure Metcalfe (Beta=2): By default, the script enforces a slope of 2.0, adhering to the classic mathematical law.
• Dynamic Fit: Users can disable the "Enforce Metcalfe" setting to let the model find the best historical fit (often resulting in a Beta between 1.5 and 1.8).
3. The Deviation (The Signal):
The resulting line represents the Log-Deviation from Fair Value.
• A value of 0.0 means Bitcoin is priced exactly according to its network utility.
• Positive values indicate a "valuation premium".
• Negative values indicate a "valuation discount".
How to Read the Chart
🔴 The Red Zone (Overvaluation > 1.0)
Meaning: The Market Cap has outpaced the growth of active users. Historically, these peaks represent speculative bubbles or cycle tops where price is driven by hype rather than utility.
🟢 The Green Zone (Undervaluation < -0.25)
Meaning: The network is being utilized, but the price has crashed below its fundamental support. Historically, these "Utility Floors" have marked the most profitable accumulation zones in Bitcoin’s history.
🟠 The Orange Line (Fair Value Transition)
Meaning: The market is in a healthy growth phase, moving in lockstep with user adoption.
Strategy & Interpretation
This tool is a Macro Compass . It is designed to help investors stay objective during periods of extreme market emotion.
• In a Bull Market: Watch for the deviation to hit the Red Zone. This is your signal that the "Network Utility" can no longer support the price, and a major correction is likely imminent.
• In a Bear Market: Look for the "Green Floor." When the price stays below the -0.25 level despite stable user activity, it suggests a massive mismatch between value and price—a classic buy signal.
Settings
• Regression Window (Default: 730 Days): Chosen to capture mid-to-long term cycle trends. Adjust to shorter timeframes for more dynamic behavior or longer timeframes (like 1460 Days) to catch longer cycles.
• Enforce Metcalfe: Toggle between the classic law (Beta=2) and a dynamic fit.
• Smoothing: A 30-day SMA is applied to active addresses to filter out daily "jitter."
Credits
• Robert Metcalfe: For the original law of network utility.
• Willy Woo & Greg Wheatley: For their pioneering work in applying Metcalfe's Law specifically to Bitcoin's valuation.
Important Data Requirement
To function, this indicator requires a data feed for Active Addresses . By default, it is set to GLASSNODE:BTC_ACTIVEADDRESSES . Please Note: On-chain data usually requires a premium vendor subscription on TradingView (e.g., Glassnode, IntoTheBlock, or CryptoQuant). If you do not have a subscription, the indicator will display a "Missing Data" warning.
⚠️ Note: This indicator is optimized for the Daily (1D) Timeframe. Please switch your chart to 1D for accurate signal reading.
Disclaimer
This script is for research and educational purposes only. It relies on third-party on-chain data. Fundamental valuation is only one piece of the puzzle; market dynamics can remain irrational longer than metrics can predict.
Tags
bitcoin, btc, on-chain, metcalfe, adoption, fundamental, valuation, active addresses, cycle, Rob Maths
Dynamic MAs Zscore | Lyro RSThe Dynamic MAs Zscore is an adaptive momentum and valuation oscillator built around advanced moving averages and statistical Z-Score normalization. By combining a wide selection of moving average types with dynamic deviation bands, this indicator delivers clear insights into trend strength , directional bias , and relative valuation — all in a clean, visually intuitive format.
━━━━━━━━━━━━━━━
Key Features
━━━━━━━━━━━━━━━
Dynamic Moving Average Engine
Applies one of 12 selectable moving average types (SMA, EMA, WMA, VWMA, HMA, ALMA, TEMA, etc.) to the chosen source. This allows fine-tuning between responsiveness and smoothness depending on market conditions.
Z-Score Normalization
Transforms the selected moving average into a standardized Z-Score:
(MA − mean) / standard deviation
This normalization makes momentum strength comparable across assets and timeframes.
Adaptive Deviation Bands
Upper and lower bands are derived from the rolling standard deviation of the Z-Score:
Custom band length
Independent positive and negative multipliers
These bands dynamically expand and contract with volatility.
Dual Signal Modes
Trend Mode – Focuses on directional continuation. Color changes and signals occur when Z-Score breaks above or below deviation bands.
Valuation Mode – Highlights relative overvaluation and undervaluation using a gradient color scale and predefined value zones.
Advanced Visual System
Includes bold layered plots, gradient fills, background shading, and candle/bar coloring to clearly reflect current market state.
Custom Color Palettes
Choose from multiple preset themes (Classic, Mystic, Accented, Royal) or define your own bullish and bearish colors.
━━━━━━━━━━━━━━━
How It Works
━━━━━━━━━━━━━━━
MA Calculation – The selected moving average type is applied to the chosen price source.
Z-Score Computation – The MA is normalized over a user-defined lookback period to quantify deviation from its mean.
Band Construction – Standard deviation of the Z-Score is calculated over the band length and scaled by positive/negative multipliers.
Mode-Dependent Logic
Trend Mode – Breaks above the upper band signal bullish momentum; breaks below the lower band signal bearish momentum.
Valuation Mode – A gradient reflects relative valuation from undervalued to overvalued, with background highlights at extreme Z-Score levels.
━━━━━━━━━━━━━━━
Signal Interpretation
━━━━━━━━━━━━━━━
Trend Confirmation
In Trend Mode, sustained moves beyond deviation bands indicate strong directional bias.
Momentum Strength
The distance of the Z-Score from zero reflects the intensity of trend momentum.
Relative Valuation
In Valuation Mode, deep negative Z-Scores suggest undervaluation, while high positive Z-Scores suggest overvaluation.
Visual Clarity
Bar and candle coloring aligned with oscillator state allows for rapid assessment of market conditions.
━━━━━━━━━━━━━━━
Customization
━━━━━━━━━━━━━━━
Adjust MA type and length to balance speed vs. smoothness.
Modify Z-Score length to control sensitivity.
Tune band length and multipliers for volatility adaptation.
Switch between Trend and Valuation modes depending on strategy.
Personalize visuals using preset or custom color palettes.
━━━━━━━━━━━━━━━
Alerts
━━━━━━━━━━━━━━━
Bullish condition when Z-Score > 0
Bearish condition when Z-Score < 0
Overvalued and undervalued valuation alerts
⚠️ Disclaimer
This indicator is intended for technical analysis and educational purposes only. It does not guarantee profitable outcomes and should be used alongside other tools, confirmation methods, and sound risk management. The author is not responsible for any financial decisions made using this indicator.
Quality Detector (Buffett Style) + Beta [Solid]This indicator acts as an on-chart fundamental screener, designed to instantly evaluate the quality and financial health of a company directly on your price chart.
The concept is inspired by "Buffettology" principles: looking for large, profitable companies with low debt. Additionally, it includes a Beta calculation to assess market volatility risk.
The tool displays a panel in the bottom-right corner featuring four key metrics and a final verdict.
How it Works & Metrics Used
The script retrieves quarterly fundamental data ("FQ") and performs calculations to verify if the asset meets specific criteria.
1. Market Cap (Size)
What it is: The total market value of the company's outstanding shares.
Goal: To identify established, large-cap companies.
Default Threshold: Must be greater than $10 Billion.
2. ROE - Return on Equity (Quality)
What it is: A measure of financial performance calculated by dividing net income by shareholders' equity.
Goal: To find companies that are efficient at generating profits from shareholders' capital.
Default Threshold: Must be higher than 15%.
3. Total Debt to Equity (Health)
What it is: A ratio indicating the relative proportion of shareholders' equity and debt used to finance a company's assets.
Calculation: This script manually calculates this ratio by fetching TOTAL_DEBT and dividing it by TOTAL_EQUITY from fundamental data to ensure robustness across different symbols.
Goal: To ensure the company is not overly leveraged.
Default Threshold: Must be lower than 1.5.
4. Beta (Risk/Volatility)
What it is: A measure of a stock's volatility in relation to the overall market (S&P 500).
Calculation: It is calculated by comparing the asset's returns against SPY (S&P 500 ETF) returns over a 252-day period (approx. 1 trading year).
Goal: To understand if the stock is more volatile (Beta > 1) or less volatile (Beta < 1) than the market.
Note: Beta does not affect the final "Quality" score but serves as an extra risk indicator, highlighting in orange if Beta > 1.
The Verdict (Scoring System)
The indicator assigns a score from 0 to 3 based on the first three fundamental metrics (Size, ROE, and Debt/Equity).
If a metric passes the threshold, it gets a green background and +1 point.
If it fails, it gets a red background.
Final Verdict:
💎 QUALITY GEM: The company passed all 3 fundamental checks (Score = 3/3).
⚠️ DISCARD: The company failed one or more fundamental checks.
Settings
You can customize the thresholds to fit your own investment strategy in the indicator settings:
Minimum Market Cap (in Billions).
Minimum ROE (%).
Maximum Debt/Equity Ratio.
Disclaimer: This tool is for informational and educational purposes only. It relies on third-party fundamental data which may sometimes be delayed or unavailable. Do not base investment decisions solely on this indicator.






















