Bantlar ve Kanallar
GR ML kNN-based Strategy A machine-learning-driven trading strategy built around the k-Nearest Neighbors (kNN) algorithm — designed, tuned, and tested by GR.
This system studies recent price behavior and indicator patterns to predict the probability of the next move (up, down, or neutral) and only trades when multiple confirmations align. It combines data-driven signals with strict market-structure filters for maximum precision.
ES cuhthis strategy uses laggard rsi to compute the best parameters to go long and tp at key levels. the overall trend strength within the rsi laggard indicator is what is used to automate the calculations within the script. enjoy and paramter optimize
ATR Anchored Range %b by TradeSeekersAll time highs got you spooked to enter with no levels in sight?
Stuck in a multi-week range and wondering where the heck the pivots are!?
Wondering if you're longing the top or shorting the potential bottom and about to get smoked, sending you back to burger flipping?!
Fret not trading friends!
I've been crafting the ultimate map for scalpers, slingers, swingers, swindlers, swashbucklers -and traders too.
Why should I care about this, what's an ATR!?
Nearly any trader that's entered the markets has heard of ATR, perhaps even taken a stab at trying to calculate the flux capacity of a weekly ATR on a lower timeframe. Continually calculating things manually sucks!
Ok, so you haven't heard of ATR? It's the average true range... what's the true range!? It's simply the low subtracted from the high (high - low) of any given candle.
How is ATR useful?
The theory is simple, if the ATRs on the daily timeframe for a stock are 5, then traders may have a reasonable expectation that any day in the near future the stock will mostly move +/- 5 pts. This +/- 5 can be used as a possible daily high and low for traders to use.
But ATR changes as time passes, with every billionaire X post, viral cat meme, fed announcement or government shutdown the market makes it's move. This means without this tool, traders need to run the standard lame (sorry) ATR indicator and then hand draw a bunch of important levels (barf).
I'm convinced and ready to join the ATR army, what do I do?
Glad to have you aboard sailor, slap this indicator on your layout - it'll initially display a bottom panel, say nice things to it.
Usage
The lower panel provides a %b plot representative of the current price relative to the timeframe and period ATR. (Defaults to 1D timeframe and 20 - 20 trading days in a month yo)
This %b plot is a map for price against the key ATR based levels and resets each time the timeframe change occurs.
Keep reading! (maybe grab a snack, you're doing great)
If you want to see what the indicator sees, how it maths the math, open the settings and check the "overlay" option... it's amazing, I know.
Main base of operations
This will be the gray area between first red and green lines, imagine this is a future candle for the timeframe anchored. The red would represent the candle high (red means stop/overbought), and the green would represent the candle low (green means go/oversold).
Regardless of the timeframe anchored, this area always represents the area the ATR indicates will be the building area of the current candle being formed. Traders should expect most of the trading to occur within this area.
The mid line
Don't diddle in the middle, this by default is the open price and it's the ultimate bias filter for bull or bear riders.
Extension areas
Beyond the gray area is the extension zone, this provides a whole ATR from the mid line to the extension.
Assembling a trade plan
There are just a couple of key concepts to master in order to become the ultimate ATR samurai warrior, capable of slicing through even the messiest liquidity.
Above the midline and holding, but still within the gray area? Could be a great long entry with targets to upper levels. The same holds true for below open and holding while still being within the lower gray area.
As price makes it's ascension or decline towards the ends of the initial gray ATR range, consider managing trades here. If it's suspected, due to a strong hold of the midline, that the range low or high is the midline, then continue to manage trades towards the extension zones.
Timeframes and periods oh my
The tooltips already provide some hints, but not everyone goes around clicking and hovering everything in sight (maybe I'm the only one that does that?).
There's a thoughtful approach to the default values, I like to consider the big market participants with my day trades, swings trades and beyond.
By default I've chosen the daily timeframe and a period of 20, one for each trading day of the calendar month.
It's no large leap to consider alternatives, what about 1W timeframe and a period of 4 (1 month) or 52 (1 year)?
The possibilities are nearly infinite, comment on any particular favorite combos.
An Italian Special Bonus!!!
...sorry, it's not pizza....
First, did you know the famous Italian Fibonacci's real name was actually Leonardo? I'm not sure how I feel about that. Fun fact, my ancestors are Italian.
Alright, you may have guessed that the special bonus is the mythical Fibonacci inspired "Golden Pocket", maybe it's a foreshadowing of your pockets - one can only hope.
Use this feature to show the commonly referenced Fibonacci levels within each major ATR range. I've seen some totally mathematical epic-ness with these hence the addition.
Once key ATR levels have been hit look for reversals back to golden pockets (you tricksy hobbits) for potential entry back towards the prior hit ATR level.
The %b turns gold if you have the feature enabled and of course the overlay displays them also, how fun!
Final thoughts
I hope you have as much fun using this indicator as I do, it has brought much joy to my trading experience. If you don't have fun with it, well I hope you had fun reading about it at least.
100% human crafted and darn proud of it
- SyntaxGeek
Gainz Algo ProEngulfing Pattern Scanner with RSI Filter
This indicator identifies high-probability engulfing patterns using multiple confirmation filters including candle stability, RSI divergence, and price momentum over a specified period.
═══ INDICATOR LOGIC ═══
BUY Signal Generated When:
• Bullish engulfing pattern forms
• Candle stability exceeds threshold (body/wick ratio)
• RSI is below oversold threshold
• Price has decreased over the delta period
• Bar is confirmed (no repainting)
SELL Signal Generated When:
• Bearish engulfing pattern forms
• Candle stability exceeds threshold
• RSI is above overbought threshold
• Price has increased over the delta period
• Bar is confirmed (no repainting)
═══ KEY FEATURES ═══
• Candle Stability Index (0-1): Filters out unstable/noisy candles
• RSI Index (0-100): Confirms momentum conditions
• Candle Delta Length: Defines lookback period for price movement
• Disable Repeating Signals: Removes consecutive same-direction signals
• Multiple visual styles: Text bubbles, triangles, or arrows
• Customizable colors and label sizes
• Built-in alert conditions
═══ INPUT PARAMETERS ═══
Candle Stability Index (0.5 default): Higher values require more decisive candles
RSI Index (50 default): Threshold for overbought/oversold conditions
Candle Delta Length (5 default): Bars to measure price change
Label customization: Size, style, and colors
═══ HOW TO USE ═══
1. Add indicator to chart
2. Adjust technical parameters based on market volatility
3. Set visual preferences for signal display
4. Create alerts using the built-in conditions
5. Higher Candle Stability = fewer but higher quality signals
6. Lower RSI Index = more conservative entry points
═══ BEST PRACTICES ═══
• Use on higher timeframes (4H+) for swing trading
• Combine with support/resistance for confluence
• Test parameters on historical data before live trading
• Consider market conditions when adjusting filters
• All timeframes
Narrowing Range PredictorNarrowing Range Indicator with several configurables. Recommended to play around with customised settings.
Daily Levels: PD / PM / OR (RTH/Pre)# Daily Levels: PD / PM / OR (RTH/Pre)
## Overview
This indicator displays key intraday support and resistance levels for US equity markets, specifically designed for traders who use Previous Day, Pre-Market, and Opening Range levels in their trading strategy.
## Key Features
**Seven Critical Levels Displayed:**
- **PDH (Previous Day High)** - Blue line: The highest price from yesterday's regular trading hours (9:30 AM - 4:00 PM ET)
- **PDL (Previous Day Low)** - Blue line: The lowest price from yesterday's regular trading hours
- **PDC (Previous Day Close)** - Orange line: The closing price from yesterday's regular trading hours
- **PMH (Pre-Market High)** - Yellow line: The highest price during today's pre-market session (4:00 AM - 9:30 AM ET)
- **PML (Pre-Market Low)** - Yellow line: The lowest price during today's pre-market session
- **ORH (Opening Range High)** - Red line: The highest price during the first 30 minutes of trading (9:30 AM - 10:00 AM ET)
- **ORL (Opening Range Low)** - Red line: The lowest price during the first 30 minutes of trading
## How It Works
**At 9:30 AM ET (Market Open):**
- PDH, PDL, PDC levels appear (from previous day's RTH)
- PMH, PML levels appear (from today's pre-market session)
- All lines begin at the 9:30 AM bar and extend right
**At 10:00 AM ET (Opening Range Close):**
- ORH, ORL levels appear (from today's first 30 minutes)
- Lines begin at the 9:30 AM bar and extend right
**Level Persistence:**
- All levels remain visible until the next trading day at 9:30 AM ET
- Levels reset daily for the new trading session
## Use Cases
**Day Trading:**
- Identify key support and resistance zones before placing trades
- Use PDH/PDL as potential profit targets or stop loss areas
- Monitor price reaction at pre-market levels for early trading signals
- Trade breakouts or rejections at opening range levels
**Swing Trading:**
- Assess daily momentum by observing breaks above/below previous day levels
- Use multiple timeframes while maintaining consistent reference points
**Market Structure:**
- Quickly identify if the market is trading above or below key levels
- Recognize accumulation/distribution patterns around these zones
## Technical Details
- **Timezone:** All times referenced are US Eastern Time (America/New_York)
- **Session Windows:**
- Pre-Market: 4:00 AM - 9:30 AM ET
- Regular Trading Hours: 9:30 AM - 4:00 PM ET
- Opening Range: 9:30 AM - 10:00 AM ET
- **Timeframe Agnostic:** Works on any chart timeframe
- **Visual Clarity:** Color-coded lines and labels for easy identification
## Color Scheme
- **Blue:** Previous Day levels (PDH, PDL)
- **Orange:** Previous Day Close (PDC)
- **Yellow:** Pre-Market levels (PMH, PML)
- **Red:** Opening Range levels (ORH, ORL)
## Best Practices
1. Use on US equity indices (SPY, QQQ, ES, NQ) and liquid US stocks
2. Combine with volume analysis for confirmation
3. Pay attention to how price reacts at these levels (bounce vs. break)
4. Most effective during the first 2 hours of trading when volatility is highest
5. Consider the market context (trending vs. ranging) when interpreting these levels
## Note
This indicator is specifically designed for US market hours. Results may vary when applied to international markets or instruments with different trading sessions.
Narrowing Range Predictor - EnhancedNarrowing Range Predictor - draws triangles and beaks from the price action. Recommended to play around with settings.
HELAL TRICKS FOREX NY TimeThe indicator marks the New York session opening candle at 9:30 AM (New York time), drawing horizontal lines at its high and low. These levels remain visible until 7:00 PM, helping traders identify key breakout and reversal zones during the most volatile session of the day. Developed by Helal – Tricks Forex, this tool simplifies New York session analysis for smarter intraday trading decisions.
ATR-BHEEM-NOCHANGE-CANDLESCandles remain normal — removed barcolor(barCol)
ATR trailing stop line still shows trend direction (green/red)
Optional buy/sell labels added only when trend flips
Clean and ready for intraday 1-min charts
STRIKE BOXThis **“STRIKE BOX”** Pine Script is used by traders to visually define and track the **New York Opening Range (OR)** — one of the most important time windows in intraday trading — and to monitor how price behaves relative to that range throughout the rest of the session.
Here’s the breakdown of what it’s used for and why traders care:
---
### 🕘 **Purpose**
The script automatically identifies and plots:
1. **The New York Opening Range (8:00–9:30 AM NY time)** – where institutional volume begins to surge.
2. **The Trading Session (9:30–17:00 NY time)** – the official U.S. stock market hours.
It marks the **high and low of the opening range** and then watches for **breakouts** or **retests** during the rest of the day.
---
### 💡 **Why traders use this**
1. **Identify key liquidity zones**
* The high and low of the opening range often represent **areas of trapped traders**, **liquidity pools**, and **institutional positioning**.
* Price tends to **revisit or react strongly** around these levels.
2. **Find breakout or reversal opportunities**
* Traders wait for price to **break above or below** the OR to confirm **directional bias** for the day.
* For example:
* A break above the OR high = possible bullish continuation.
* A break below the OR low = possible bearish momentum.
* If price fails to break and stays inside the range, that signals a **choppy or consolidating market**.
3. **Define risk and targets easily**
* The OR gives **natural stop-loss and take-profit zones**.
* A trader can buy near the OR low and target the OR high, or vice versa.
4. **Filter trades during high-volume hours**
* The New York session overlaps with London for a bit — this is when **most daily volume and volatility** occur.
* Many traders only want to trade inside or just after this opening period.
---
### 📊 **How this script helps**
* It **automatically draws lines** for the OR high and low.
* It plots **vertical dashed lines** marking when the OR starts and ends.
* It **detects when price breaks the OR** (sets `High_Break` or `Low_Break` to true).
* It provides clear **visual zones** for decision-making instead of manually drawing them every day.
---
### 🧠 In short
Traders use this to:
* See where the **New York Opening Range** formed.
* Watch for **breakouts or fakeouts** beyond that range.
* Align their trades with **institutional market flow**.
* Keep charts **clean and systematic** rather than guessing daily key levels.
---
UTM 共感覺 식스센스 차트UTM chart PropKorea chart done by UTM aming to identify where the pirce is now compared to market.
Mark the New York trading session hours(纽约交易时间段标注)Apply background shading for New York time.
(纽约时间背景着色)
04:00 ~ 09:00
09:00 ~ 09:30
09:30 ~ 12:00
No shading needed after 12 AM as I'll be asleep.
(12点我睡觉了就不着色了。)
Session VWAP & ATR H/L ZonesThis script is a comprehensive tool for day traders, designed to visualize key price levels and zones based on volume and volatility within a specific trading session.
Traders would use your script to identify potential areas of support and resistance, gauge the session's trend, and spot opportunities for mean reversion or breakout trades.
Core Concepts Explained
Your script plots three main types of information on the chart, each serving a different purpose for a trader.
1. Session VWAP (Volume-Weighted Average Price) 📈
What it is: The yellow line is the VWAP, which is the average price of an asset for the current trading session, weighted by the volume traded at each price level. It essentially shows the "fair" price for the day according to the market's activity.
How it's used:
Trend Gauge: If the price is consistently trading above the VWAP, it's generally considered a bullish intraday trend. If it's below, the trend is bearish.
Dynamic Support/Resistance: During a trend, traders often look for the price to pull back to the VWAP to find an entry point (e.g., buying a dip to the VWAP in an uptrend).
VWAP Bands: The optional gray, red, and green bands are standard deviations from the VWAP. They measure how far the price has strayed from its "fair value."
2. ATR High/Low Zones (Support & Resistance) 🎯
What they are: These are the shaded green and red areas at the top and bottom of the session's price range.
The red zone (resistance) is calculated by taking the session's current high and subtracting a value based on the Average True Range (ATR), which is a measure of recent volatility.
The green zone (support) is calculated by taking the session's current low and adding the ATR-based value.
How they're used: These are not just lines; they are zones of interest.
Profit-Taking Areas: A trader who is long might consider taking profits when the price enters the red resistance zone.
Reversal Signals: When the price enters one of these zones and shows signs of stalling (e.g., with specific candlestick patterns), it could signal a potential reversal.
3. Previous Session High & Low 📊
What they are: The script plots the high and low from the previous trading session as straight horizontal lines (teal and fuchsia by default).
How they're used: These are extremely significant static levels that many traders watch.
Price Magnets: Price is often drawn to these levels.
Key Inflection Points: A decisive break above the previous day's high can signal strong bullish momentum. Conversely, a failure to break it can indicate weakness. These levels frequently act as strong support or resistance.
Squeeze Momentum MACDSqueeze Momentum MACD
🧠 Description
Squeeze Momentum MACD combines the concept of market volatility compression (the “squeeze”) from Bollinger Bands (BB) and Keltner Channels (KC) with a MACD-style momentum oscillator to reveal potential breakout phases.
The indicator first calculates:
BB Width = Upper Band − Lower Band
KC Width = Upper Band − Lower Band
Then it computes their difference:
Δ = BB Width − KC Width
When Δ > 0 → BB width is greater than KC width → volatility is expanding → potential momentum breakout.
When Δ < 0 → BB is inside KC → volatility is compressing → potential squeeze phase before expansion.
This Δ value is then processed through a MACD-style calculation:
MACD Line = EMA(fast) − EMA(slow)
Signal Line = EMA(MACD, signal length)
Histogram = MACD − Signal
The result is a visual momentum oscillator that behaves like MACD but measures volatility expansion instead of price direction.
🔹 Features:
Dynamic 4-color MACD & Signal lines (positive/negative + rising/falling)
Optional display of raw BB & KC widths
Fully adjustable parameters for BB, KC, and MACD
Works on all timeframes and instruments
🔹 Ideal For:
Detecting market squeezes and breakout momentum
Timing entries before volatility expansion
Integrating volatility and momentum into a single framework
ES Key Levels (Adam Mancini)An automated way to draw key levels from Adam's newsletter without manually drawing it all out.
Dual Session VWAPSeparate VWAP with 1 standard deviation band for the regular session as well as electronic session
ATR Trailing Stop Without tradepanel Open✅ Only plots ATR trailing stop line
✅ Only colors candles
✅ No trades / entries
✅ No “Strategy Tester” panel
✅ No arrows, markers, or trade lists
TT ToniTrading Adjustable Price Fee Band [%]Simple but perfectly functional indicator with Trading fee bands.
Crypto Trading is with fees and very small trades often don't make sense due to the fees we need to pay. With this band you can visualize your fees before entering a trade and take smarter decisions for tight daytrading and scalping.
You type in the fee for just one trade, the Taker Fee for a Market Order. The bands show the fees in % times 2, so what you will pay for opening and closing the trade in reality. The band therefore shows the real break-even point, with included payed fees.
It additionally helps taking trading decisions or not with very small trades (Scalping).
You can smooth the bands if you want and you can addtionally show the true datapoints if you prefer smoothend bands. I recommend no bigger smoothing than 2, if you don't want to show the datapoints. Additionally you can fill the band, and of course adjust transperency, colour and all the general TradingView stuff.
Fee Overview in the current market for the indicator input field:
BingX with 10% fee reduction code = 0,045 %
BingX: Normal = 0,050 %
Bitget, ByBit, BitUnix, Blofin, Phemex: Normal = 0,060 %
Bitget, ByBit, BitUnix, Blofin, Phemex: with 20% fee reduction code = 0,048 %
Have fun Trading, Happy Profits!
Greetings
ToniTrading
Volume Rate of Change (VROC)# Volume Rate of Change (VROC)
**What it is:** VROC measures the rate of change in trading volume over a specified period, typically expressed as a percentage. Formula: `((Current Volume - Volume n periods ago) / Volume n periods ago) × 100`
## **Obvious Uses**
**1. Confirming Price Trends**
- Rising VROC with rising prices = strong bullish trend
- Rising VROC with falling prices = strong bearish trend
- Validates that price movements have conviction behind them
**2. Spotting Divergences**
- Price makes new highs but VROC doesn't = weakening momentum
- Price makes new lows but VROC doesn't = potential reversal
**3. Identifying Breakouts**
- Sudden VROC spikes often accompany legitimate breakouts from consolidation patterns
- Helps distinguish real breakouts from false ones
**4. Overbought/Oversold Conditions**
- Extreme VROC readings (very high or very low) suggest exhaustion
- Mean reversion opportunities when volume extremes occur
---
## **Non-Obvious Uses**
**1. Smart Money vs. Dumb Money Detection**
- Declining VROC during price rallies may indicate retail FOMO while institutions distribute
- Rising VROC during selloffs with price stability suggests institutional accumulation
**2. News Impact Measurement**
- Compare VROC before/after earnings or announcements
- Low VROC on "significant" news = market doesn't care (fade the move)
- High VROC = genuine market reaction (respect the move)
**3. Market Regime Changes**
- Persistent shifts in average VROC levels can signal transitions between bull/bear markets
- Declining baseline VROC over months = waning market participation/topping process
**4. Intraday Liquidity Profiling**
- VROC patterns across trading sessions identify best execution times
- Avoid trading when VROC is abnormally low (wider spreads, poor fills)
**5. Sector Rotation Analysis**
- Compare VROC across sector ETFs to identify where capital is flowing
- Rising VROC in defensive sectors + falling VROC in cyclicals = risk-off rotation
**6. Options Expiration Effects**
- VROC typically drops significantly post-options expiration
- Helps avoid false signals from mechanically-driven volume changes
**7. Algorithmic Activity Detection**
- Unusual VROC patterns (regular spikes at specific times) may indicate algo programs
- Can front-run or avoid periods of heavy algorithmic interference
**8. Liquidity Crisis Early Warning**
- Sharp, sustained VROC decline across multiple assets = liquidity withdrawal
- Can precede market stress events before price volatility emerges
**9. Cryptocurrency Wash Trading Detection**
- Comparing VROC across exchanges for same asset
- Discrepancies suggest artificial volume on certain platforms
**10. Pair Trading Optimization**
- Use relative VROC between correlated pairs
- Enter when VROC divergence is extreme, exit when it normalizes
The key to advanced VROC usage is context: combining it with price action, market structure, and other indicators rather than using it in isolation.
Fury by Tetrad Fury by Tetrad
What it is:
A rules-based Bollinger+RSI strategy that fades extremes: it looks for price stretching beyond Bollinger Bands while RSI confirms exhaustion, enters countertrend, then exits at predefined profit multipliers or optional stoploss. “Ultra Glow” visuals are purely cosmetic.
How it works — logic at a glance
Framework: Classic Bollinger Bands (SMA basis; configurable length & multiplier) + RSI (configurable length).
Long entries:
Price closes below the lower band and RSI < Long RSI threshold (default 28.3) → open LONG (subject to your “Market Direction” setting).
Short entries:
Price closes above the upper band and RSI > Short RSI threshold (default 88.4) → open SHORT.
Profit exits (price targets):
Uses simple multipliers of the strategy’s average entry price:
Long exit = `entry × Long Exit Multiplier` (default 1.14).
Short exit = `entry × Short Exit Multiplier` (default 0.915).
Risk controls:
Optional pricebased stoploss (disabled by default) via:
Long stop = `entry × Long Stop Factor` (default 0.73).
Short stop = `entry × Short Stop Factor` (default 1.05).
Directional filter:
“Market Direction” input lets you constrain entries to Market Neutral, Long Only, or Short Only.
Visuals:
“Ultra Glow” draws thin layered bands around upper/basis/lower; these do not affect signals.
> Note: Inputs exist for a timebased stop tracker in code, but this version exits via targets and (optional) price stop only.
Why it’s different / original
Explicit extreme + momentum pairing: Entries require simultaneous band breach and RSI exhaustion, aiming to avoid entries on gardenvariety volatility pokes.
Deterministic exits: Multiplier-based targets keep results auditable and reproducible across datasets and assets.
Minimal, unobtrusive visuals: Thin, layered glow preserves chart readability while communicating regime around the Bollinger structure.
Inputs you can tune
Bollinger: Length (default 205), Multiplier (default 2.2).
RSI: Length (default 23), Long/Short thresholds (28.3 / 88.4).
Targets: Long Exit Mult (1.14), Short Exit Mult (0.915).
Stops (optional): Enable/disable; Long/Short Stop Factors (0.73 / 1.05).
Market Direction: Market Neutral / Long Only / Short Only.
Visuals: Ultra Glow on/off, light bar tint, trade labels on/off.
How to use it
1. Timeframe & assets: Works on any symbol/timeframe; start with liquid majors and 60m–1D to establish baseline behavior, then adapt.
2. Calibrate thresholds:
Narrow/meanreverting markets often tolerate tighter RSI thresholds.
Fast/volatile markets may need wider RSI thresholds and stronger stop factors.
3. Pick realistic targets: The default multipliers are illustrative; tune them to reflect typical mean reversion distance for your instrument/timeframe (e.g., ATRinformed profiling).
4. Risk: If enabling stops, size positions so risk per trade ≤ 1–2% of equity (max 5–10% is a commonly cited upper bound).
5. Mode: Use Long Only or Short Only when your discretionary bias or higher timeframe model favors one side; otherwise Market Neutral.
Recommended publication properties (for backtests that don’t mislead)
When you publish, set your strategy’s Properties to realistic values and keep them consistent with this description:
Initial capital: 10,000 (typical retail baseline).
Commission: ≥ 0.05% (adjust for your venue).
Slippage: ≥ 2–3 ticks (or a conservative pertrade value).
Position sizing: Avoid risking > 5–10% equity per trade; fixedfractional sizing ≤ 10% or fixedcash sizing is recommended.
Dataset / sample size: Prefer symbols/timeframes yielding 100+ trades over the tested period for statistical relevance. If you deviate, say why.
> If you choose different defaults (e.g., capital, commission, slippage, sizing), explain and justify them here, and use the same settings in your publication.
Interpreting results & limitations
This is a countertrend approach; it can struggle in strong trends where band breaches compound.
Parameter sensitivity is real: thresholds and multipliers materially change trade frequency and expectancy.
No predictive claims: Past performance is not indicative of future results. The future is unknowable; treat outputs as decision support, not guarantees.
Suggested validation workflow
Try different assets. (TSLA, AAPL, BTC, SOL, XRP)
Run a walkforward across multiple years and market regimes.
Test several timeframes and multiple instruments. (30m Suggested)
Compare different commission/slippage assumptions.
Inspect distribution of returns, max drawdown, win/loss expectancy, and exposure.
Confirm behavior during trend vs. range segments.
Alerts & automation
This release focuses on chart execution and visualization. If you plan to automate, create alerts at your entry/exit conditions and ensure your broker/venue fills reflect your slippage/fees assumptions.
Disclaimer
This script is provided for educational and research purposes. It is not investment advice. Trading involves risk, including the possible loss of principal. © Tetrad Protocol.
Bitcoin Gold Fair Value Model | FREEBitcoin Gold Fair Value Model | FREE
This script presents a quantitative model that explores the historical relationship between Bitcoin (BTCUSD) and Gold (TVC:GOLD).
It estimates Bitcoin’s fair value projection based on the price of gold, using a rolling regression model calculated over a user-defined lookback period (default: 1000 days).
📘 How It Works
The model fits a simple linear regression of Bitcoin’s daily close price versus Gold’s daily close price.
From this relationship, it computes a projected Bitcoin price based on today’s gold value, plotted forward by a chosen number of days (default: 65).
Confidence ranges (±1 standard deviation and 95% interval) help visualize the uncertainty around the projection.
A statistical panel displays the projected price, range estimates, and R² value, indicating the strength of correlation between the two assets.
⚙️ Features
Rolling regression using historical BTC and Gold data.
Forward fair-value projection line (customizable projection period).
1σ (standard deviation) and 95% confidence bands.
On-chart statistical summary with current model values.
Real-time updates when new daily data becomes available.
📊 How to Use
Recommended for use on the daily timeframe with the INDEX:BTCUSD symbol.
The model provides a statistical estimate of Bitcoin’s price relative to gold trends, not a trading signal.
The R² value can be used to assess the current strength of correlation - higher R² suggests a more stable relationship, while lower values indicate weaker or changing dynamics.
⚠️ Important Notes
This indicator is intended for educational and analytical purposes only.
It does not predict prices or provide financial advice.
Relationships between assets can and do change over time.
Always perform your own research and use additional tools for confirmation.