Asset Correlation Matrix [PEARSON|BETA|R2]The Market Dilemma: The Liquidity Trap and The Illusion of Diversification
One of the most expensive mistakes in modern trading is the assumption that holding different asset classes—such as Technology Stocks, Crypto, and Commodities—automatically provides safety. In stable economic times, this may be true. However, in environments defined by high liquidity stress or macroeconomic shocks, the correlations between these seemingly distinct assets tend to converge mathematically to 1.0. This phenomenon is known in quantitative finance as "Systemic Coupling." When this occurs, technical analysis on individual charts loses its predictive power because the asset is no longer trading on its own idiosyncratic fundamentals (e.g., earnings or user growth) but is merely acting as a high-beta proxy for global liquidity flows. This toolkit solves this problem by providing an institutional-grade framework to quantify exactly how much "independence" your assets truly possess at any given moment. It objectively separates a "Stock Picker's Market," where individual analysis works, from a "Macro Regime," where only the broader trend matters.
Scientific Foundation: Why Logarithmic Returns Matter
Standard retail indicators often calculate correlation based on simple percentage price changes. This approach is mathematically flawed over longer timeframes due to the compounding effect. This algorithm is grounded in Modern Portfolio Theory (MPT) and utilizes Logarithmic Returns (continuously compounded returns). As established in academic literature by Hudson & Gregoriou (2015), log returns provide time-additivity and numerical stability. This ensures that the statistical relationship measured over a rolling 60-day window is accurate and not distorted by volatility spikes, providing a professional basis for risk modeling.
The Three Pillars of Analysis: Understanding the Metrics
To fully understand market behavior, one must look at the relationship between an asset and a benchmark from three distinct mathematical angles. This indicator allows you to switch between these institutional metrics:
1. Pearson Correlation (Directional Alignment):
This is the classic measure of linear dependence, ranging from -1.0 to +1.0. Its primary value lies in identifying Regime Changes . When the correlation is high (above 0.8), the asset has lost its autonomy and is "locked" with the benchmark. When the correlation drops or turns negative, the asset is "decoupled." This mode is essential for hedging strategies. If you are long Bitcoin and short the Nasdaq to hedge, but their correlation drops to zero, your hedge has mathematically evaporated. This mode warns you of such structural breaks.
2. Beta Sensitivity (Volatility Adjusted Risk):
While Correlation asks "Are they moving together?", Beta asks "How violently are they moving together?". Beta adjusts the correlation by the relative volatility of the asset versus the benchmark. A Beta of 1.5 implies that for every 1% move in the S&P 500, the asset is statistically likely to move 1.5%. This is the single most important metric for Position Sizing . In high-beta regimes, you must reduce position size to maintain constant risk. This mode visualizes when an asset transitions from being a "Defensive Haven" (Beta < 1.0) to a "High Risk Vehicle" (Beta > 1.0).
3. Explained Variance / R-Squared (The Truth Serum):
This is the most advanced metric in the toolkit, rarely found in retail indicators. R-Squared ranges from 0% to 100% and answers the question of causality: "How much of the asset's price movement is purely explained by the movement of the benchmark?" If R2 is 85%, it mathematically proves that 85% of the price action is external noise driven by the market, and only 15% is driven by the asset's own news or chart pattern. Institutional traders use this to filter trades: They seek Low R-Squared environments for alpha generation (breakouts) and avoid High R-Squared environments where they would simply be trading the index with higher fees.
The Theory of "Invisible Gravity" and Macro Benchmarking
While comparing assets to the S&P 500 is standard, the theoretical value of this matrix expands significantly when utilizing Macro Benchmarks like US Treasury Yields (US10Y). According to Discounted Cash Flow (DCF) theory, the value of long-duration assets (like Tech Stocks or Crypto) is inversely related to the risk-free rate. By setting the benchmark to yields, this indicator makes this theoretical concept visible. A strong Negative Correlation confirms that asset appreciation is being driven by "cheap money" (falling yields). However, a sudden flip to Positive Correlation against yields signals a profound shift in market mechanics, often indicating that inflation fears are being replaced by growth fears or monetary debasement. This visualizes the "Denominator Effect" in real-time.
Visualizing Market Breadth and Internal Health
Beyond individual lines, the "Breadth Mode" aggregates the data into a histogram to diagnose the health of a trend. A healthy rally is supported by broad participation, meaning high correlation across risk assets. A dangerous, exhausted rally is characterized by Divergence : Price makes a new high, but the Correlation Breadth (the number of assets participating in the move) collapses. This is often the earliest warning signal of a liquidity withdrawal before a reversal occurs.
References
Markowitz, H. (1952). Portfolio Selection. The Journal of Finance.
Sharpe, W. F. (1964). Capital Asset Prices: A Theory of Market Equilibrium.
Hudson, R., & Gregoriou, A. (2015). Calculating and Comparing Security Returns: Logarithmic vs Simple Returns.
Disclaimer: This indicator is for educational purposes only. Past performance is not indicative of future results.
Portfolio management
Journal Diario Manual [KEKG]📊 Daily Trading Journal – Manual Profit & Risk Tracker
This indicator is a clean, fully customizable daily trading journal designed to help traders manually track their performance directly on the chart.
✅ Features:
• Manual input for:
• Take Profits (TP)
• Stop Losses (SL)
• Total TP Pips
• Total SL Pips
• Automatic Profit (Pips) calculation:
• Shows + in green for positive results
• Shows − in red for negative results
• Customizable reset system:
• Reset by Day
• Reset by Week
• Manual reset
• Optional reset at a specific time (AM/PM)
• Each reset method can be turned ON or OFF
• Fully adjustable colors:
• Default TP color: #66BB6A
• Default SL color: #F23645
• Editable profit colors and panel background
• Movable panel position (any screen corner)
• Transparent background by default
• Clean, left-aligned professional layout
🎯 Purpose:
This tool is built for discipline, consistency, and performance tracking, helping traders stay aware of:
• Daily results
• Total risk
• Overall profitability
Perfect for Forex, Indices, Commodities, and Crypto traders who want a simple but powerful on-chart journal without automation or broker connection.
200 Week MA Extensions (Crypto Currently Strategy)Bitcoin 200 Week MA Extensions
The 200-week moving average has never been breached in Bitcoin's history, making it one of the most reliable indicators for identifying absolute market bottoms. This indicator plots the 200 Week MA along with percentage extensions above it to help identify potential cycle tops and key resistance levels during bull markets.
What is the 200 Week MA?
The 200-week simple moving average is the average closing price of Bitcoin over the past 200 weeks (approximately 3.8 years). It's a ultra-long-term trend indicator that:
Has never been broken to the downside in Bitcoin's entire history
Acts as the ultimate floor for Bitcoin price during bear markets
Rises steadily over time, reflecting Bitcoin's long-term growth trajectory
Moves slowly, making it a stable reference point for market cycles
Key Components:
200 Week MA - Blue Line (Base Level)
The foundation line that has historically marked absolute bottoms
Currently around $62,000 (and rising ~$500-800 per week)
Touching this level has historically represented generational buying opportunities
Last tested during the COVID crash (March 2020) and 2022 bear market
+50% Extension - Green Line (1.5x the 200 Week MA)
First major resistance zone above the base
Often acts as support during healthy bull market corrections
Historically a comfortable zone for accumulation in early bull markets
+100% Extension - Yellow Line (2.0x the 200 Week MA)
Double the 200 Week MA value
Represents a well-developed bull market
Often tested multiple times during mid-cycle consolidations
Can act as strong resistance when first approached
+150% Extension - Orange Line (2.5x the 200 Week MA)
Advanced bull market territory
Historically marks the acceleration phase of bull runs
Breaking above this level often signals euphoric market conditions approaching
+200% Extension - Red Line (3.0x the 200 Week MA)
Triple the 200 Week MA value
Extreme overextension zone
Historically near or beyond previous cycle tops
Suggests extreme caution and profit-taking considerations
Historical Context:
2020-2021 Bull Market:
March 2020: Price touched the 200 Week MA (~$5,000) - absolute bottom
Throughout 2020: Price traded between +50% and +100% extensions
Late 2020 - Early 2021: Price broke above +100%, accelerated to +150%
April 2021 & November 2021: Price reached +200% extension area, marking local/cycle tops
2022 Bear Market:
Price fell from +200% extension back toward the 200 Week MA
June 2022: Price came within 10% of the 200 Week MA ($18,000)
Bounce from near the 200 Week MA marked the bear market bottom
2023-2024 Recovery:
Price recovered from near 200 Week MA back through the extension levels
Each extension level acted as resistance, then support as bull market developed
Current position relative to extensions helps gauge cycle maturity
How to Use This Indicator:
For Long-Term Accumulation:
At 200 Week MA: Maximum conviction buying zone - historically has never failed
+0% to +50%: Excellent accumulation zone, low risk relative to reward
+50% to +100%: Good accumulation zone during bull market dips
Above +100%: Consider reducing accumulation, focus on holding or taking profits
For Profit Taking:
Approaching +100%: Consider taking initial profits (10-20% of position)
+100% to +150%: Take incremental profits as price advances
+150% to +200%: Increase profit-taking pace significantly
Above +200%: Maximum caution - historically unsustainable levels
For Risk Management:
Distance from 200 Week MA indicates market risk level
Further above = higher risk, more extended, closer to top
Closer to = lower risk, better value, closer to bottom
Use extensions as profit-taking targets in bull markets
Use extensions as re-entry targets during corrections
For Cycle Timing:
Bear Market: Price converges toward 200 Week MA
Early Bull: Price in +0% to +50% range, building base
Mid Bull: Price in +50% to +100% range, healthy growth
Late Bull: Price in +100% to +150% range, acceleration
Euphoric Top: Price at +150% to +200%+, extreme extension
Key Insights:
The 200 Week MA as Ultimate Support:
Bitcoin has touched or approached this level during every major bear market
It rises consistently (~$30,000 per year currently), creating a rising floor
Breaking below would be unprecedented and signal a fundamental market structure change
Provides enormous psychological and technical support
Extension Levels as Resistance/Support:
Bull markets often stall at each extension level before breaking through
Once broken, extensions often flip from resistance to support
Rejections from higher extensions can signal local or cycle tops
Corrections back to lower extensions offer re-entry opportunities
Diminishing Returns:
Each cycle's top has formed at progressively lower extension multiples
2013: ~10x the then-200WMA
2017: ~5x the then-200WMA
2021: ~3x the then-200WMA
Suggests future tops may not reach +200% extension (market maturation)
Best Practices:
Do:
Use the 200 Week MA as your ultimate risk-off level for long-term holdings
Scale into positions as price approaches the 200 Week MA
Take profits incrementally as price rises through extensions
View corrections back to lower extensions as opportunities
Combine with other on-chain metrics (MVRV, Realized Price) for confirmation
Don't:
Expect the 200 Week MA to provide perfect entry timing (you might be early)
Assume price will reach +200% extension every cycle
Sell all holdings at first extension level during bull markets
Ignore price action and volume when making decisions
Panic if price approaches the 200 Week MA (historically the best time to buy)
Why This Indicator Works:
The 200 Week MA represents nearly 4 years of price data, which:
Encompasses approximately one full Bitcoin halving cycle
Smooths out all short and medium-term volatility
Reflects Bitcoin's true long-term adoption and growth trend
Provides a slow-moving, stable reference that doesn't whipsaw
The extension levels work because:
They create objective profit-taking targets based on historical overextension
They account for the rising base (200 Week MA) over time
They've proven reliable across multiple market cycles
They help remove emotion from buy/sell decisions
Technical Notes:
Calculations performed on weekly timeframe data for consistency
The indicator displays correctly on any chart timeframe (Daily, 4H, etc.)
Uses lookahead_on to prevent repainting and show consistent historical values
All extension levels update automatically as the 200 Week MA rises
Best viewed on logarithmic scale for full historical perspective
Important Reminders:
Past performance does not guarantee future results - while the 200 Week MA has never been breached, future market conditions could differ
Market maturation - as Bitcoin matures, cycle dynamics may change
Black swan events - unexpected macro events could temporarily break historical patterns
Not financial advice - this is an educational tool, always do your own research
Recommended Usage:
Best Timeframes: Daily, Weekly, Monthly charts
Pair With: MVRV Ratio, Realized Price, Stock-to-Flow, Fear & Greed Index
Update Frequency: Weekly (the base 200 Week MA only changes weekly)
Chart Type: Logarithmic scale recommended for full historical view
Strategy Example:
Buy aggressively when price is within 20% of 200 Week MA
Hold and accumulate between 200WMA and +50% extension
Begin scaling out profits at +100% extension (20% of position)
Scale out more at +150% extension (40% of position)
Significant profit-taking at +200% extension (remaining position)
Wait for next cycle and repeat
This indicator provides a simple, objective, and historically reliable framework for navigating Bitcoin's market cycles. By respecting the 200 Week MA as the ultimate floor and using the extensions as profit-taking guides, investors can remove emotion and develop disciplined strategies for long-term success.
Relative Performance Analyzer [AstrideUnicorn]Relative Performance Analyzer (RPA) is a performance analysis tool inspired by the data comparison features found in professional trading terminals. The RPA replicates the analytical approach used by portfolio managers and institutional analysts who routinely compare multiple securities or other types of data to identify relative strength opportunities, make allocation decisions, choose the most optimal investment from several alternatives, and much more.
Key Features:
Multi-Symbol Comparison: Track up to 5 different symbols simultaneously across any asset class or dataset
Two Performance Calculation Methods: Choose between percentage returns or risk-adjusted returns
Interactive Analysis: Drag the start date line on the chart or manually choose the start date in the settings
Professional Visualization: High-contrast color scheme designed for both dark and light chart themes
Live Performance Table: Real-time display of current return values sorted from the top to the worst performers
Practical Use Cases:
ETF Selection: Compare similar ETFs (e.g., SPY vs IVV vs VOO) to identify the most efficient investment
Sector Rotation: Analyze which sectors are showing relative strength for strategic allocation
Competitive Analysis: Compare companies within the same industry to identify leaders (e.g., APPLE vs SAMSUNG vs XIAOMI)
Cross-Asset Allocation: Evaluate performance across stocks, bonds, commodities, and currencies to guide portfolio rebalancing
Risk-Adjusted Decisions: Use risk-adjusted performance to find investments with the best returns per unit of risk
Example Scenarios:
Analyze whether tech stocks are outperforming the broader market by comparing XLK to SPY
Evaluate which emerging market ETF (EEM vs VWO) has provided better risk-adjusted returns over the past year
HOW DOES IT WORK
The indicator calculates and visualizes performance from a user-defined starting point using two methodologies:
Percentage Returns: Standard total return calculation showing percentage change from the start date
Risk-Adjusted Returns: Cumulative returns divided by the volatility (standard deviation), providing insight into the efficiency of performance. An expanding window is used to calculate the volatility, ensuring accurate risk-adjusted comparisons throughout the analysis period.
HOW TO USE
Setup Your Comparison: Enable up to 5 assets and input their symbols in the settings
Set Analysis Period: When you first launch the indicator, select the start date by clicking on the price chart. The vertical start date line will appear. Drag it on the chart or manually input a specific date to change the start date.
Choose Return Type: Select between percentage or risk-adjusted returns based on your analysis needs
Interpret Results
Use the real-time table for precise current values
SETTINGS
Assets 1-5: Toggle on/off and input symbols for comparison (stocks, ETFs, indices, forex, crypto, fundamental data, etc.)
Start Date: Set the initial point for return calculations (drag on chart or input manually)
Return Type: Choose between "Percentage" or "Risk-Adjusted" performance.
Technology Stocks RSPSTechnology Stocks RSPS Indicator - TradingView Description
Overview
The Technology Stocks RSPS (Relative Strength Portfolio System) indicator is a sophisticated portfolio allocation tool designed specifically for technology sector stocks. It calculates relative strength positions and provides dynamic allocation recommendations based on technical price momentum analysis.
Key Features
- Relative Strength Analysis: Compares 15 major technology stocks and the XLK sector ETF
against each other and gold as a baseline
- Dynamic Portfolio Allocation: Automatically calculates optimal position sizes based on relative
performance
- Visual Portfolio Performance: Tracks cumulative portfolio returns with color-coded
performance indicators
- Customizable Table Display: Shows real-time allocation percentages and optional cash values
for each position
- Technical Momentum Filtering: Uses normalized indicators to identify strength and filter out
weak positions
Included Assets
Sector ETF: XLK
Major Tech Stocks: AAPL, MSFT, NVDA, AVGO, CRM, ORCL, CSCO, ADBE, ACN, AMD, IBM, INTC, NOW, TXN
Benchmark: Gold (TVC:GOLD)
How It Works
The indicator calculates a relative strength score for each asset by comparing it against:
Gold (baseline commodity)
All other technology stocks in the pool
The XLK sector ETF
Assets with positive relative strength receive portfolio allocations proportional to their strength scores. Weak or negative performers are automatically filtered out (allocated 0%).
Visual Elements
Red Area: Aggregate strength of major technology stocks
Navy Blue Area: Overall technical positioning index (TPI)
Performance Line: Cumulative portfolio return (blue = cash-heavy, red = equity-heavy)
Allocation Table: Bottom-left display showing current recommended positions
Important Limitations
This indicator primarily uses technical data and has significant limitations:
❌ No fundamental economic data (ISM, CLI, etc.)
❌ Limited monetary data - missing critical components:
comprehensive monetary data
Funding rates
Detailed bond spreads analysis
Collateral data
❌ No sentiment indicators
❌ No options flow or derivatives data
❌ No earnings or valuation metrics
The indicator focuses purely on price-based relative strength and technical momentum. Users should combine this tool with fundamental analysis, economic data, and proper risk management for complete investment decisions.
Settings
Plot Table: Toggle allocation table visibility
Use Cash: Enable to display dollar amounts based on portfolio size
Cash Amount: Set your total portfolio value for cash allocation calculations
Use Cases
Sector rotation within technology stocks
Relative strength-based portfolio rebalancing
Technical momentum screening for tech sector
Dynamic position sizing based on price trends
Technical Notes
The script avoids for-loops to reduce calculation errors and noise
Uses semi-individual calculations for each asset
Requires the Unicorpus/NormalizedIndicators/1 library for normalized momentum calculations
Maximum lookback: 100 bars
Disclaimer: This indicator is a technical tool only and should not be used as the sole basis for investment decisions. It does not incorporate fundamental, economic, or comprehensive monetary data. Always conduct thorough research and consider your risk tolerance before making investment decisions.
AbundanceThis tool is purpose-built for the Indian market landscape.
Tailored for dedicated long-term market participants, this indicator assists with investment decisions in both shares and ETFs. The script harnesses a blend of technical elements—Super Trend, RSI, multiple EMAs, and their dynamic relationships (for example, a 50 EMA positioned above 200 EMA indicates bullish momentum).
Through actionable notifications and buy cues on daily charts, the indicator supports anyone aiming to build a resilient portfolio. The indicator caters both high risk and risk averse investors.
Every mechanism is intended to deliver an actionable perspective, ensuring a comprehensive approach for those seeking effective capital growth.
Designed specifically for the daily timeframe , this indicator places buy signals as color-coded arrows exclusively on daily candles.
The tool functions as an all-inclusive solution for both stock and ETF investors, applying tailored accumulation logic to each asset category.
Some context of the Indicator used and what they imply:
• 50 EMA (Daily) – Measures intermediate trends
• 200 EMA (Daily) – Gauges long-term direction
• Daily timeframe – Identifies short-term movement
• Weekly timeframe – Assesses intermediate perspective
• Monthly timeframe – Reveals long-term context
ETF Module
ETF Selection Logic: The script implements explicit screening for ETFs, allowing users to operate with greater nuance through four unique accumulation intensity levels.
• Purple Arrow: Signals mild accumulation opportunities for aggressive dip-buyers—triggered when the 50 EMA is above the 200 EMA (i.e., uptrend), daily RSI drops below 40, the ETF price closes between the two EMAs, and weekly RSI remains above 50. If weekly RSI fails this threshold, signals are withheld to maintain trend integrity.
• Green Arrow: Indicates moderate accumulation, appearing in downtrends (200 EMA above 50 EMA) when daily RSI is in the oversold area and the price dips below 200 EMA.
• Blue Arrow: Represents strong accumulation. Both daily and weekly RSIs fall below 40 and the script’s close is under 200 EMA. Optimized for patient investors looking to accumulate during medium-term weakness.
• Red Arrow: Marks rare, very strong accumulation zones. RSIs across daily, weekly, and monthly timeframes must all read oversold with the price below 200 EMA, signifying potential long-term undervaluation but also substantial weakness. Patience is vital, as recovery may require extended periods.
Stock Module
Ideal for application on stocks within the Nifty 200—a universe proven through liquidity and market record. Stock accumulation signals come in two calibrated levels:
• Level 1 – Purple Arrow (early, mild accumulation): Suited for investors who have missed prior reversal zones or want additional entries in ongoing uptrends. Requires weekly and monthly RSI values above 50—i.e., no medium or long-term weakness. Accumulation signals occur when the stock trades below its 50 EMA but above its 200 EMA (with 50 EMA above 200 EMA indicating a healthy uptrend), and ADX reads below 22 (confirming the decline is not part of an accelerating downtrend).
• Level 2 – High conviction, Potential Reversal: Designed for risk-averse users, this level targets stocks that have corrected significantly and approach the 200 EMA on daily charts. Accumulation is triggered only when short-term downtrends reverse (Super Trend indicator shifts from red to green). Orange upward triangles serve as a preparatory signal for anticipated reversals, while green upward triangles mark confirmed buy events. If Super Trend returns to red after an alert but before a buy, the sequence is invalidated, limiting false signals.
All signals aim to provide precise market timing without exposing conservative investors to unnecessary risk.
Arrow colors are visually summarized on the right panel for constant reference for both ETFs and Stocks.
2s10s Bull/Bear Steepener/Flattener (Intraday bars)A simple indicator that tracks the curve of the US2y and US10y
Marcaj Ore 07:00 și 18:00 (Stabil v2)For backtesting and remember times that you can be active in the market.
Oracle Protocol — Arch Public (Testing Clone) Oracle Protocol — Arch Public Series (testing clone)
This model implements the Arch Public Oracle structure: a systematic accumulation-and-distribution engine built around a dynamic Accumulation Cost Base (ACB), strict profit-gate exit logic, and a capital-bounded flywheel reinvestment system.
It is designed for transparent execution, deterministic behaviour, and rule-based position management.
Core Function Set
1. Accumulation Framework (ACB-Driven)
The accumulation engine evaluates market movement against defined entry conditions, including:
Percentage-based entry-drop triggers
Optional buy-below-ACB mode
Capital-gated entries tied to available ledger balance
Fixed-dollar and min-dollar entry rules (as seen in Arch public materials)
Automated sizing through flywheel capital
Range-bounded ledger for controlled backtesting input
Each qualifying buy updates the live ACB, maintains the internal ledger, and forms the next reference point for exit evaluation.
No forecasting mechanisms are included.
2. Profit-Gate Exit System
Exits are governed by the standard Arch public approach:
A sealed ACB reference for threshold evaluation
Optional live-ACB visibility
Profit-gate triggers defined per asset class
Candle-confirmation integration (“ProfitGate + Candle” mode)
Distribution only when the smallest active threshold is met
This provides a consistent cadence with published Arch diagrams and PDFs.
3. Once-Per-Rally Governance
After a distribution, the algorithm locks until price retraces below the most recent accumulation base.
Only after re-arming can the next profit gate activate.
This prevents over-frequency selling and aligns with the public-domain Oracle behaviour.
4. Quiet-Bars & Threshold Cluster Control
A volatility-stabilisation layer prevents multiple exits from micro-fluctuations or transient spikes.
This ensures clean execution during fast markets and high volatility.
5. Flywheel Reinvestment
Distribution proceeds automatically return to the capital pool where permitted, creating a closed system of:
Entry sizing
Exit proceeds
Ledger-managed capital state
All sizing respects capital boundaries and does not breach dollar floors or overrides.
6. Automation Hooks and Integration
The script exposes:
3Commas-compatible JSON sizing
Entry/exit signalling via alertcondition()
Deterministic event reporting suitable for external automation
This allows consistent deployment across automated execution environments.
7. Visual Tooling
Optional displays include:
Live ACB line
Exit-guide markers
Capital, state, and ledger panels
Realized/unrealized outcome tracking based on internal logic only
Visual components do not influence execution rules.
Operating Notes
This model is rule-based, deterministic, and non-predictive.
It executes only according to the explicit thresholds, capital limits, and state transitions defined within the script.
No discretionary or forward-looking logic is included.
[GetSparx] Nova Pro⚡ Nova Pro – Position Calculator
This indicator is a user-friendly TradingView indicator designed to help traders plan and visualize their entry and exit points, calculate position sizing, and instantly display key risk metrics. By simply entering three price levels (Entry, Take Profit and Stop Loss) along with a risk amount in USD, the indicator draws color-coded lines and labels on the chart, and generates a concise table with all computed values. This allows you to assess the risk-reward profile of any trade at a glance, without performing manual calculations.
⚙️ How It Works
When the indicator is added to the chart it will ask to specify the price inputs and the risk amount in USD.
Price Inputs (Entry, TP, SL)
• You specify three price levels: the entry price, the profit target (Take Profit) and the loss threshold (Stop Loss).
• Inputs use TradingView’s native price-picker fields. Any change is immediately reflected on the chart.
Visual Display
• Each level is plotted as a line stretching into the future for enough room.
• Labels on the right show the exact price, color-coded: orange for Entry, green for TP and red for SL.
• Previous lines and labels are automatically removed when parameters change, ensuring the chart remains clean.
Risk Calculations
• The entered risk amount (in USD) is combined with the distance between Entry and SL to compute the optimal number of units (Qty) to trade.
• The script automatically detects whether it’s a long or short trade based on the relative positions of Entry and TP.
• Note that the risk and reward calculations do not factor in exchange fees, slippage, funding rates or any other trading costs. Actual profit and loss may differ once transaction fees and market execution variances are applied, so be sure to adjust your position sizing and expectations accordingly.
🎯 What You Can Do With It
• Consistent Position Sizing
Automate your position size so you consistently risk the same dollar amount, regardless of price volatility or stop distance.
• Clear Risk Management
Instantly view your Reward-to-Risk ratio, potential profit in USD and exact risk amount, so you make well-informed decisions.
• Rapid Scenario Analysis
Adjust TP, SL or Entry on the fly to see how each change affects your potential profit, loss and RR ratio.
• Publication-Ready Charts
The visual elements and integrated table are optimized for TradingView publications, giving your analysis a professional, polished look.
📊 Explanation of Table Values
• Entry
Calculation: rounded to the nearest tick of your entered entry price.
Marks the exact level at which you initiate the trade and serves as the reference point for all further risk and reward calculations.
• Quantity (Qty)
Calculation: Risk USD ÷ (Entry − Stop Loss).
Determines how many units, contracts or shares to trade so that a stop-out at your SL equals exactly your predefined dollar risk, resulting in consistent per-trade exposure.
• Risk to Reward (RR)
Calculation: (Take Profit − Entry) ÷ (Entry − Stop Loss).
Expresses how many dollars of potential profit you target for each dollar you risk. Values above 1 mean the reward exceeds the risk, guiding you to favorable setups.
• Take Profit (TP)
Calculation: rounded to the nearest tick of your entered take-profit price.
Your target exit level for booking gains, highlighted in green on the chart. Shows where you plan to capture profits if the market moves in your favor.
• Profit
Calculation: Qty × (Take Profit − Entry).
Gives the absolute potential gain in USD if price reaches your TP. Useful for comparing total return across different instruments or setups.
• Stop Loss (SL)
Calculation: rounded to the nearest tick of your entered stop-loss price.
The level at which your trade is automatically closed to cap losses, highlighted in red on the chart. Ensures you never lose more than your defined risk amount.
• Risk
Calculation: equals the entered Risk USD.
The maximum dollar amount you’re willing to lose on this trade. Acts as the upper boundary for your exposure, keeping your position sizing disciplined.
📝 Examples
• Long Example 1: Bitcoin/USD
Entry: $11851.1
Take Profit: $123853.9
Stop Loss: $115467.7
Risk USD: $500
The Risk to Reward ratio results in 2.25, which means the reward exceeds the risk.
For each dollar you risk, this setup has potential gains of 2.25 dollars.
• Long Example 2: Algorand/USD
Entry: $0.2919
Take Profit: $0.3491
Stop Loss: $0.2655
Risk USD: $1000
The Risk to Reward ratio on this trade results in 2.17 and has a potential profit target of $2166.67. With a risk of $1000 USD the table conveniently shows a quantity of 37878 ALGO is needed for the trade.
• Short Example 1: Forex EUR/USD
Entry: $1.16666
Take Profit: $1.15459
Stop Loss: $1.17374
Risk USD: $200
With a risk of $200 USD and a RR of 2.17, this example shows how a short trade can be accomplished on EUR/USD.
• Short Example 2: Gold
Entry: $3366.29
Take Profit: $3272.01
Stop Loss: $3386.87
Risk USD: $1500
Within this short setup a risk of $1500 USD is used, which results in a RR of 4.58. The potential profit for this trade is $6871.72.
⚠ Disclaimer
This tool is for educational and analytical use only. It does not provide financial advice or trading signals. Always use proper risk management and do your own due diligence.
BTST Stats BTST Statistical Edge Analyzer — VCR · Volume · SMA · RSI Filtered
This indicator isn’t a trading signal generator.
It’s a research framework designed to answer a simple but valuable question:
“Does Buy-Today-Sell-Tomorrow (BTST) have statistical edge under specific market conditions?”
Most traders assume BTST works because they feel markets gap.
This script measures whether that belief holds true — and under what filters.
🔍 What the Indicator Does
For each bar, the script simulates a BTST trade:
Entry: previous bar’s close
Exit: current bar’s open
Result: Open(next day) − Close(previous day)
But a BTST trade is only counted if the entry bar satisfies the filter logic.
🎯 Entry Filters You Can Tune
A trade is included only if ALL activated conditions are satisfied:
Filter Rule
VCR Filter Candle volatility ratio must exceed threshold: `(High−Low) /
Volume Filter Volume must be greater than n × AverageVolume
SMA Trend Filter (Optional) Close must be above a user-selected SMA length
RSI Condition (Optional) RSI must be between a user-defined min/max band
This allows testing BTST under different volatility, trend, and momentum conditions.
📊 What the Table Shows
For all qualifying trades inside the chosen lookback window, the indicator displays:
Metric Meaning
Profitable Trades Count of BTST trades with positive overnight return
Losing Trades Count of negative overnight returns
Avg Profit Average upside gain on winner trades
Avg Loss Average downside loss on losing trades
Avg Net per Trade Overall expectancy across all trades
Avg High After Entry Average maximum price movement above entry (potential upside)
Avg Low After Entry Average price movement against the entry (risk exposure)
Winner-Only High/Low Stats How far good trades move and how much heat they take
Loser-Only High/Low Stats How bad trades behave, including early fake-outs
Together, these reveal:
Opportunity potential
Risk exposure
Whether trades behave cleanly or chaotically
Whether exits are leaving money on the table
🧠 Why This Matters
BTST edges change drastically across:
Market regimes
Trend direction
Volatility clusters
Earnings cycles
Volume surges
This tool helps identify when BTST should be traded — and when it should be avoided entirely.
Rather than guessing, traders can:
Validate if their BTST assumptions hold,
Apply filters until the expectancy improves,
Rank symbols and conditions where the system performs best.
🚫 Not a Buy/Sell Indicator
This script does not place arrows, signals, alerts, or entries.
It exists for analysis and system development, not live execution.
Use it to:
Build ideas
Validate hypotheses
Compare symbols
Optimize BTST frameworks
Decide if BTST belongs in your playbook — or in the trash
🔧 Who This Is For
✔ System traders
✔ Quant-minded traders
✔ Options/Index traders who rely on gaps
✔ Swing traders testing overnight holds
✔ Developers building automated BTST logic
Final Thought
BTST isn’t magic — it’s just a behavior pattern.
Some markets reward it.
Some punish it.
Some reward it only under the right volatility and volume conditions.
This tool tells you which is which.
Stochastic Hash Strat [Hash Capital Research]# Stochastic Hash Strategy by Hash Capital Research
## 🎯 What Is This Strategy?
The **Stochastic Slow Strategy** is a momentum-based trading system that identifies oversold and overbought market conditions to capture mean-reversion opportunities. Think of it as a "buy low, sell high" approach with smart mathematical filters that remove emotion from your trading decisions.
Unlike fast-moving indicators that generate excessive noise, this strategy uses **smoothed stochastic oscillators** to identify only the highest-probability setups when momentum truly shifts.
---
## 💡 Why This Strategy Works
Most traders fail because they:
- **Chase prices** after big moves (buying high, selling low)
- **Overtrade** in choppy, directionless markets
- **Exit too early** or hold losses too long
This strategy solves all three problems:
1. **Entry Discipline**: Only trades when the stochastic oscillator crosses in extreme zones (oversold for longs, overbought for shorts)
2. **Cooldown Filter**: Prevents revenge trading by forcing a waiting period after each trade
3. **Fixed Risk/Reward**: Pre-defined stop-loss and take-profit levels ensure consistent risk management
**The Math Behind It**: The stochastic oscillator measures where the current price sits relative to its recent high-low range. When it's below 25, the market is oversold (time to buy). When above 70, it's overbought (time to sell). The crossover with its moving average confirms momentum is shifting.
---
## 📊 Best Markets & Timeframes
### ⭐ OPTIMAL PERFORMANCE:
**Crude Oil (WTI) - 12H Timeframe**
- **Why it works**: Oil markets have predictable volatility patterns and respect technical levels
**AAVE/USD - 4H to 12H Timeframe**
- **Why it works**: DeFi tokens exhibit strong momentum cycles with clear extremes
### ✅ Also Works Well On:
- **BTC/USD** (12H, Daily) - Lower frequency but high win rate
- **ETH/USD** (8H, 12H) - Balanced volatility and liquidity
- **Gold (XAU/USD)** (Daily) - Classic mean-reversion asset
- **EUR/USD** (4H, 8H) - Lower volatility, requires patience
### ❌ Avoid Using On:
- Timeframes below 4H (too much noise)
- Low-liquidity altcoins (wide spreads kill performance)
- Strongly trending markets without pullbacks (Bitcoin in 2021)
- News-driven instruments during major events
---
## 🎛️ Understanding The Settings
### Core Stochastic Parameters
**Stochastic Length (Default: 16)**
- Controls the lookback period for price comparison
- Lower = faster reactions, more signals (10-14 for volatile markets)
- Higher = smoother signals, fewer trades (16-21 for stable markets)
- **Pro tip**: Use 10 for crypto 4H, 16 for commodities 12H
**Overbought Level (Default: 70)**
- Threshold for short entries
- Lower values (65-70) = more trades, earlier entries
- Higher values (75-80) = fewer but higher-conviction trades
- **Sweet spot**: 70 works for most assets
**Oversold Level (Default: 25)**
- Threshold for long entries
- Higher values (25-30) = more trades, earlier entries
- Lower values (15-20) = fewer but stronger bounce setups
- **Sweet spot**: 20-25 depending on market conditions
**Smooth K & Smooth D (Default: 7 & 3)**
- Additional smoothing to filter out whipsaws
- K=7 makes the indicator slower and more reliable
- D=3 is the signal line that confirms the trend
- **Don't change these unless you know what you're doing**
---
### Risk Management
**Stop Loss % (Default: 2.2%)**
- Automatically exits losing trades
- Should be 1.5x to 2x your average market volatility
- Too tight = death by a thousand cuts
- Too wide = uncontrolled losses
- **Calibration**: Check ATR indicator and set SL slightly above it
**Take Profit % (Default: 7%)**
- Automatically exits winning trades
- Should be 2.5x to 3x your stop loss (reward-to-risk ratio)
- This default gives 7% / 2.2% = 3.18:1 R:R
- **The golden rule**: Never have R:R below 2:1
---
### Trade Filters
**Bar Cooldown Filter (Default: ON, 3 bars)**
- **What it does**: Forces you to wait X bars after closing a trade before entering a new one
- **Why it matters**: Prevents emotional revenge trading and overtrading in choppy markets
- **Settings guide**:
- 3 bars = Standard (good for most cases)
- 5-7 bars = Conservative (oil, slow-moving assets)
- 1-2 bars = Aggressive (only for experienced traders)
**Exit on Opposite Extreme (Default: ON)**
- Closes your long when stochastic hits overbought (and vice versa)
- Acts as an early profit-taking mechanism
- **Leave this ON** unless you're testing other exit strategies
**Divergence Filter (Default: OFF)**
- Looks for price/momentum divergences for additional confirmation
- **When to enable**: Trending markets where you want fewer but higher-quality trades
- **Keep OFF for**: Mean-reverting markets (oil, forex, most of the time)
---
## 🚀 Quick Start Guide
### Step 1: Set Up in TradingView
1. Open TradingView and navigate to your chart
2. Click "Pine Editor" at the bottom
3. Copy and paste the strategy code
4. Click "Add to Chart"
5. The strategy will appear in a separate pane below your price chart
### Step 2: Choose Your Market
**If you're trading Crude Oil:**
- Timeframe: 12H
- Keep all default settings
- Watch for signals during London/NY overlap (8am-11am EST)
**If you're trading AAVE or crypto:**
- Timeframe: 4H or 12H
- Consider these adjustments:
- Stochastic Length: 10-14 (faster)
- Oversold: 20 (more aggressive)
- Take Profit: 8-10% (higher targets)
### Step 3: Wait for Your First Signal
**LONG Entry** (Green circle appears):
- Stochastic crosses up below oversold level (25)
- Price likely near recent lows
- System places limit order at take profit and stop loss
**SHORT Entry** (Red circle appears):
- Stochastic crosses down above overbought level (70)
- Price likely near recent highs
- System places limit order at take profit and stop loss
**EXIT** (Orange circle):
- Position closes either at stop, target, or opposite extreme
- Cooldown period begins
### Step 4: Let It Run
The biggest mistake? **Interfering with the system.**
- Don't close trades early because you're scared
- Don't skip signals because you "have a feeling"
- Don't increase position size after a big win
- Don't revenge trade after a loss
**Follow the system or don't use it at all.**
---
### Important Risks:
1. **Drawdown Pain**: You WILL experience losing streaks of 5-7 trades. This is mathematically normal.
2. **Whipsaw Markets**: Choppy, range-bound conditions can trigger multiple small losses.
3. **Gap Risk**: Overnight gaps can cause your actual fill to be worse than the stop loss.
4. **Slippage**: Real execution prices differ from backtested prices (factor in 0.1-0.2% slippage).
---
## 🔧 Optimization Guide
### When to Adjust Settings:
**Market Volatility Increased?**
- Widen stop loss by 0.5-1%
- Increase take profit proportionally
- Consider increasing cooldown to 5-7 bars
**Getting Too Few Signals?**
- Decrease stochastic length to 10-12
- Increase oversold to 30, decrease overbought to 65
- Reduce cooldown to 2 bars
**Getting Too Many Losses?**
- Increase stochastic length to 18-21 (slower, smoother)
- Enable divergence filter
- Increase cooldown to 5+ bars
- Verify you're on the right timeframe
### A/B Testing Method:
1. **Run default settings for 50 trades** on your chosen market
2. Document: Win rate, profit factor, max drawdown, emotional tolerance
3. **Change ONE variable** (e.g., oversold from 25 to 20)
4. Run another 50 trades
5. Compare results
6. Keep the better version
**Never change multiple settings at once** or you won't know what worked.
---
## 📚 Educational Resources
### Key Concepts to Learn:
**Stochastic Oscillator**
- Developed by George Lane in the 1950s
- Measures momentum by comparing closing price to price range
- Formula: %K = (Close - Low) / (High - Low) × 100
- Similar to RSI but more sensitive to price movements
**Mean Reversion vs. Trend Following**
- This is a **mean reversion** strategy (price returns to average)
- Works best in ranging markets with defined support/resistance
- Fails in strong trending markets (2017 Bitcoin, 2020 Tech stocks)
- Complement with trend filters for better results
**Risk:Reward Ratio**
- The cornerstone of profitable trading
- Winning 40% of trades with 3:1 R:R = profitable
- Winning 60% of trades with 1:1 R:R = breakeven (after fees)
- **This strategy aims for 45% win rate with 2.5-3:1 R:R**
### Recommended Reading:
- *"Trading Systems and Methods"* by Perry Kaufman (Chapter on Oscillators)
- *"Mean Reversion Trading Systems"* by Howard Bandy
- *"The New Trading for a Living"* by Dr. Alexander Elder
---
## 🛠️ Troubleshooting
### "I'm not seeing any signals!"
**Check:**
- Is your timeframe 4H or higher?
- Is the stochastic actually reaching extreme levels (check if your asset is stuck in middle range)?
- Is cooldown still active from a previous trade?
- Are you on a low-liquidity pair?
**Solution**: Switch to a more volatile asset or lower the overbought/oversold thresholds.
---
### "The strategy keeps losing money!"
**Check:**
- What's your win rate? (Below 35% is concerning)
- What's your profit factor? (Below 0.8 means serious issues)
- Are you trading during major news events?
- Is the market in a strong trend?
**Solution**:
1. Verify you're using recommended markets/timeframes
2. Increase cooldown period to avoid choppy markets
3. Reduce position size to 5% while you diagnose
4. Consider switching to daily timeframe for less noise
---
### "My stop losses keep getting hit!"
**Check:**
- Is your stop loss tighter than the average ATR?
- Are you trading during high-volatility sessions?
- Is slippage eating into your buffer?
**Solution**:
1. Calculate the 14-period ATR
2. Set stop loss to 1.5x the ATR value
3. Avoid trading right after market open or major news
4. Factor in 0.2% slippage for crypto, 0.1% for oil
---
## 💪 Pro Tips from the Trenches
### Psychological Discipline
**The Three Deadly Sins:**
1. **Skipping signals** - "This one doesn't feel right"
2. **Early exits** - "I'll just take profit here to be safe"
3. **Revenge trading** - "I need to make back that loss NOW"
**The Solution:** Treat your strategy like a business system. Would McDonald's skip making fries because the cashier "doesn't feel like it today"? No. Systems work because of consistency.
---
### Position Management
**Scaling In/Out** (Advanced)
- Enter 50% position at signal
- Add 50% if stochastic reaches 10 (oversold) or 90 (overbought)
- Exit 50% at 1.5x take profit, let the rest run
**This is NOT for beginners.** Master the basic system first.
---
### Market Awareness
**Oil Traders:**
- OPEC meetings = volatility spikes (avoid or widen stops)
- US inventory reports (Wed 10:30am EST) = avoid trading 2 hours before/after
- Summer driving season = different patterns than winter
**Crypto Traders:**
- Monday-Tuesday = typically lower volatility (fewer signals)
- Thursday-Sunday = higher volatility (more signals)
- Avoid trading during exchange maintenance windows
---
## ⚖️ Legal Disclaimer
This trading strategy is provided for **educational purposes only**.
- Past performance does not guarantee future results
- Trading involves substantial risk of loss
- Only trade with capital you can afford to lose
- No one associated with this strategy is a licensed financial advisor
- You are solely responsible for your trading decisions
**By using this strategy, you acknowledge that you understand and accept these risks.**
---
## 🙏 Acknowledgments
Strategy development inspired by:
- George Lane's original Stochastic Oscillator work
- Modern quantitative trading research
- Community feedback from hundreds of backtests
Built with ❤️ for retail traders who want systematic, disciplined approaches to the markets.
---
**Good luck, stay disciplined, and trade the system, not your emotions.**
Macro Risk Trinity [OAS|VIX|MOVE]The Obsolescence of Single-Metric Risk Models
For decades, the CBOE VIX served as the undisputed "fear gauge" of Wall Street. However, the modern financial market structure has evolved to a point where relying on a single univariate indicator is not only insufficient but potentially dangerous. Two structural shifts have fundamentally altered the predictive power of the VIX:
The 0DTE Blind Spot: The VIX calculates implied volatility based on options expiring in 23 to 37 days. Today, massive institutional hedging flows occur intraday via 0DTE (Zero Days to Expiration) options. This creates a "Gamma Suppression" effect: Market makers hedging these short-term flows often dampen realized volatility intraday, effectively bypassing the VIX calculation window. This leads to a suppression of the index, masking risk even during fragile market phases (Bandi et al., 2023).
Goodhart’s Law: "When a measure becomes a target, it ceases to be a good measure." Because algorithmic volatility targeting strategies and risk-parity funds use the VIX as a mechanical trigger to deleverage, market participants have developed an incentive to suppress implied volatility via short-volatility strategies to prevent triggering cascading margin calls.
The Theoretical Framework: Why this Model Works
To accurately navigate this complex environment, the Macro Risk Trinity moves beyond simple price action. It employs a multivariate analysis of the financial system's three core pillars: Rates, Credit, and Equity. The logic is derived from three specific areas of financial research:
1. The Origin of Shock: Volatility Spillover Theory
Macroeconomic shocks typically do not start in the stock market; they originate in the US Treasury market. The MOVE Index acts as the "VIX for Bonds." Research by Choi et al. (2022) demonstrates that bond variance risk premiums are a leading indicator for equity distress. Since the "Risk-Free Rate" is the denominator in every Discounted Cash Flow (DCF) model, instability here forces a repricing of all risk assets downstream.
2. The Foundation: Structural Credit Models (Merton)
While stock prices are often driven by sentiment and liquidity, corporate bond spreads ( High Yield Option Adjusted Spread ) are driven by balance sheets and math. Based on the seminal Merton Model (1974), equity can be viewed as a call option on a firm's assets, while debt carries a short put option risk.
The Thesis: If the VIX (Equity) is low, but OAS (Credit) is widening, a divergence occurs. Mathematically, credit spreads cannot widen indefinitely without eventually pulling equity valuations down. This indicator identifies that specific divergence.
3. The Fragility: Knightian Uncertainty
By monitoring the VVIX (Volatility of Volatility), we detect demand for tail-risk protection. When the VIX is suppressed (low) but VVIX is rising, it signals that "Smart Money" is buying Out-of-the-Money crash protection despite calm waters. This is often a precursor to liquidity events where the VIX "uncoils" violently.
The Solution: Dual Z-Score Normalization
You cannot simply overlay the VIX (an index) with a Credit Spread (a percentage). To make them comparable, this script utilizes a Dual Z-Score Engine.
It calculates the statistical deviation from both a Fast (Quarterly/63-day) and a Slow (Yearly/252-day) mean. This standardizes all data into a single "Stress Unit," allowing us to see exactly when Credit Stress exceeds Equity Fear.
Decoding the Macro Regimes
The indicator aggregates these data streams to visualize the current market regime via the chart's background color:
Systemic Shock (Red Background): The critical convergence. Both Credit Spreads (Solvency) and Equity Volatility (Fear) spike simultaneously beyond extreme statistical thresholds (> 2.0 Sigma). Correlations approach 1, and liquidity evaporates.
Macro Risk / Rates Shock (Yellow Background): Equities are calm, but the MOVE Index is panicking. A warning signal from the plumbing of the financial system regarding inflation or Fed policy errors.
Credit Stress (Maroon Background): The "Silent Killer." The VIX is low (often suppressed), but Credit Spreads (OAS) are widening. This signals a deterioration of the real economy ("Slow Bleed") while the stock market is in denial.
Structural Fragility (Purple Background): VIX is low, but VVIX is rising. A sign of excessive leverage and "Volmageddon" risk (Gamma Squeeze).
Bull Cycle (Green Background): The "Buy the Dip" signal. Even if prices fall and VIX spikes, the background remains green as long as Corporate Credit (OAS) remains stable. This indicates the sell-off is technical, not fundamental.
Technical Specifications
Engineered for the Daily (1D) timeframe.
Institutional Lookbacks: 63 Days (Quarterly) / 252 Days (Yearly).
OAS Lag Buffer: Includes logic to handle the ~24h reporting delay of Federal Reserve (FRED) data to prevent signal flickering.
Scientific Bibliography
This tool is not based on heuristics but on peer-reviewed financial literature:
Bandi, F. M., et al. (2023). The spectral properties of 0DTE options and their impact on VIX. Journal of Econometrics.
Choi, J., Mueller, P., & Vedolin, A. (2022). Bond Variance Risk Premiums. Review of Finance.
Cremers, M., et al. (2008). Explaining the Level and Time-Variation of Credit Spreads. Review of Financial Studies.
Griffin, J. M., & Shams, A. (2018). Manipulation in the VIX? The Review of Financial Studies.
Merton, R. C. (1974). On the Pricing of Corporate Debt. The Journal of Finance.
Author's Note: The Reality of Markets & Overfitting
While this tool is built on robust academic principles, we must address the reality of quantitative modeling: There is no Holy Grail.
This indicator relies on Z-Scores, which assume that future volatility distributions will somewhat resemble the past (Mean Reversion). In data science, calibrating lookback periods (like 63/252 days) always carries a risk of Overfitting to past cycles.
Markets are adaptive systems. If the correlation between Credit Spreads and Equity Volatility breaks (e.g., due to massive fiscal intervention/QE or new derivative products), signals may temporarily diverge. This tool is designed to identify stress, not to predict the future price. It will rhyme with the market, but it will not always repeat it perfectly.
Use it as a compass to gauge the environment, not as an autopilot for your trading.
Use responsibly and always manage your risk.
Disclaimer: This indicator relies on external data feeds from FRED and CBOE. Data availability is subject to TradingView providers.
Position Sizer (FinPip)Position Sizer (FinPip)
The Position Sizer (FinPip) indicator is a crucial, all-in-one risk management tool designed to calculate the precise trade size required to limit your risk to a predetermined percentage of your total account capital.
This indicator helps you consistently execute sound risk management, regardless of the instrument's volatility or the trade's price levels.
Key Features:
Calculates Position Size: Based on your configurable Account Capital, desired Risk Percentage (default 2.5%), and the price distance between your Entry and Stop-Loss levels.
Visual Trade Planning: Plots three clear levels directly on the chart for easy visualization:
Entry Price (Blue)
Stop-Loss Price (SL) (Red)
Profit Target (Lime Green, calculated using the Reward:Risk Ratio).
Custom Risk Management: Easily adjust the Risk Percentage and the Reward:Risk Ratio (default 4.0) in the indicator's settings.
Heads-Up Display (HUD): A clean, fixed table in the bottom-left corner of the chart clearly displays all calculated metrics, including your Required Position Size (in units/shares/contracts), Risk Amount, and Potential Profit.
How to Use:
Enter your Account Capital and desired Risk % in the settings panel.
Set your desired Entry Price and Stop-Loss Price.
The indicator immediately calculates and displays the exact number of units you need to trade to maintain your risk limit.
The Position Sizer (FinPip)The Position Sizer (FinPip) indicator is a crucial, all-in-one risk management tool designed to calculate the precise trade size required to limit your risk to a predetermined percentage of your total account capital.
This indicator helps you consistently execute sound risk management, regardless of the instrument's volatility or the trade's price levels.
Key Features:
Calculates Position Size: Based on your configurable Account Capital, desired Risk Percentage (default 2.5%), and the price distance between your Entry and Stop-Loss levels.
Visual Trade Planning: Plots three clear levels directly on the chart for easy visualization:
Entry Price (Blue)
Stop-Loss Price (SL) (Red)
Profit Target (Lime Green, calculated using the Reward:Risk Ratio).
Custom Risk Management: Easily adjust the Risk Percentage and the Reward:Risk Ratio (default 4.0) in the indicator's settings.
Heads-Up Display (HUD): A clean, fixed table in the bottom-left corner of the chart clearly displays all calculated metrics, including your Required Position Size (in units/shares/contracts), Risk Amount, and Potential Profit.
How to Use:
Enter your Account Capital and desired Risk % in the settings panel.
Set your desired Entry Price and Stop-Loss Price.
The indicator immediately calculates and displays the exact number of units you need to trade to maintain your risk limit.
Position Sizer (FinPip)The Position Sizer (FinPip) indicator is a crucial, all-in-one risk management tool designed to calculate the precise trade size required to limit your risk to a predetermined percentage of your total account capital.
This indicator helps you consistently execute sound risk management, regardless of the instrument's volatility or the trade's price levels.
Key Features:
Calculates Position Size: Based on your configurable Account Capital, desired Risk Percentage (default 2.5%), and the price distance between your Entry and Stop-Loss levels.
Visual Trade Planning: Plots three clear levels directly on the chart for easy visualization:
Entry Price (Blue)
Stop-Loss Price (SL) (Red)
Profit Target (Lime Green, calculated using the Reward:Risk Ratio).
Custom Risk Management: Easily adjust the Risk Percentage and the Reward:Risk Ratio (default 4.0) in the indicator's settings.
Heads-Up Display (HUD): A clean, fixed table in the bottom-left corner of the chart clearly displays all calculated metrics, including your Required Position Size (in units/shares/contracts), Risk Amount, and Potential Profit.
How to Use:
Enter your Account Capital and desired Risk % in the settings panel.
Set your desired Entry Price and Stop-Loss Price.
The indicator immediately calculates and displays the exact number of units you need to trade to maintain your risk limit.
Hash Supertrend [Hash Capital Research]Hash Supertrend Strategy by Hash Capital Research
Overview
Hash Supertrend is a professional-grade trend-following strategy that combines the proven Supertrend indicator with institutional visual design and flexible time filtering.
The strategy uses ATR-based volatility bands to identify trend direction and executes position reversals when the trend flips.This implementation features a distinctive fluorescent color system with customizable glow effects, making trend changes immediately visible while maintaining the clean, professional aesthetic expected in quantitative trading environments.
Entry Signals:
Long Entry: Price crosses above the Supertrend line (trend flips bullish)
Short Entry: Price crosses below the Supertrend line (trend flips bearish)
Controls the lookback period for volatility calculation
Lower values (7-10): More sensitive to price changes, generates more signals
Higher values (12-14): Smoother response, fewer signals but potentially delayed entries
Recommended range: 7-14 depending on market volatility
Factor (Default: 3.0)
Restricts trading to specific hours
Useful for avoiding low-liquidity sessions, overnight gaps, or known choppy periods
When disabled, strategy trades 24/7
Start Hour (Default: 9) & Start Minute (Default: 30)
Define when the trading session begins
Uses exchange timezone in 24-hour format
Example: 9:30 = 9:30 AM
End Hour (Default: 16) & End Minute (Default: 0)
Controls the vibrancy of the fluorescent color system
1-3: Subtle, muted colors
4-6: Balanced, moderate saturation
7-10: Bright, highly saturated fluorescent appearance
Affects both the Supertrend line and trend zones
Glow Effect (Default: On)
Adds luminous halo around the Supertrend line
Creates a multi-layered visual with depth
Particularly effective during strong trends
Glow Intensity (Default: 5.0)
Displays tiny fluorescent dots at entry points
Green dot below bar: Long entry
Red dot above bar: Short entry
Provides clear visual confirmation of executed trades
Show Trend Zone (Default: On)
Strong trending markets (2020-style bull runs, sustained bear markets)
Markets with clear directional bias
Instruments with consistent volatility patterns
Timeframes: 15m to Daily (optimal on 1H-4H)
Challenging Conditions:
Choppy, range-bound markets
Low volatility consolidation periods
Highly news-driven instruments with frequent gaps
Very low timeframes (1m-5m) prone to noise
Recommended AssetsCryptocurrency:
GVI-1 - Guendogan Valuation Index 1The Guendogan Valuation Index 1 (GVI-1) incorporates the total market capitalization of all U.S. companies, U.S. GDP, and the share of revenues generated outside the United States to provide an undistorted long-term valuation of the U.S. equity market across the past decades.
Disclaimer: The Guendogan Valuation Index 1 (GVI-1) is a research-based macro indicator provided solely for educational and informational purposes. It does not constitute financial advice, investment advice, trading advice, or a recommendation to buy or sell any asset. Financial markets involve risk, and past performance does not guarantee future results. All users are solely responsible for their own investment decisions.
GVI – Guendogan Valuation IndexGlobalization-adjusted valuation indicator modeling rising international revenue exposure since 1990. Includes a long-term fair-value framework.
Stock Management (Zeiierman)█ Overview
Stock Management (Zeiierman) gives investors a complete, real-time view of their portfolio directly inside TradingView. It tracks performance, allocation, volatility, and dividends in one unified interface, making it easy to understand both how your portfolio is performing and how it behaves in terms of risk and exposure.
Rather than analyzing each chart in isolation, Stock Management (Zeiierman) turns TradingView into a lightweight portfolio cockpit. You can define up to 20 stock positions (ticker, shares, average cost), and the tool will:
Normalize all positions into a single user-selected currency
Calculate live position value, PnL, PnL%, and daily movement
Compute total portfolio value, performance, and volatility
Optionally generate a risk-parity style Recommended Allocation
Display upcoming dividend amounts, ex-dates, and pay-dates for your holdings
All of this appears as clean on-chart tables, including a main portfolio table, an optional dividend table, and an optional summary panel, allowing you to manage your portfolio while still watching price action. It is a visual portfolio layer built entirely around your own inputs, integrated seamlessly into the TradingView environment.
⚪ Why This One Is Unique
Most investors rely on basic broker dashboards that show position values but provide little insight into risk, exposure, or how each holding interacts with the rest of the portfolio. Stock Management (Zeiierman) goes far beyond that by building an intelligent, unified portfolio layer directly inside TradingView.
It automatically normalizes global holdings into a single reporting currency using live FX data, stabilizes allocation with a volatility-aware weighting engine, and structures your information through an adaptive column framework that highlights performance and risk in real time. A weighted summary blends portfolio movement, volatility, and long-horizon behavior into a clean snapshot, while dividend schedules and projected payouts are fully integrated into the same interface.
█ Main Features
⚪ 1. Portfolio Tracker
The core of Stock Management (Zeiierman) is a dynamic, real-time portfolio table that brings all key position data into one intelligent view. Each holding is displayed with:
Ticker
Sector
Price
Average Paid Price
Shares
Position Value
Position Weight
Profit & Loss
Profit & Loss %
Today % Change
Recommended Allocation
The table updates continuously with market prices, giving investors an immediate understanding of performance, exposure, and risk across all positions.
⚪ 2. Dividend Information
Dividend data for your holdings is automatically fetched, organized, and presented alongside your positions. This includes dividend amount, ex-date, and pay-date, along with projected payouts based on your share count. All dividend-related information is integrated directly into the portfolio view, so you can plan cash flow without switching tools.
⚪ 3. Portfolio Summary
A dedicated summary panel consolidates the entire portfolio into a single snapshot: total value, total PnL, YTD %, today’s change, and overall volatility. The volatility reading is particularly valuable, providing a quick gauge of your portfolio’s risk level and how sensitive it may be to market movement.
⚪ 4. Portfolio Weight Recommendation
An intelligent weighting engine reviews your current allocations and highlights where your portfolio is overexposed or underweighted. It offers recommended allocation levels designed to reduce concentration risk and improve balance, giving you a clearer path toward a more stable long-term positioning.
█ How to Use
⚪ Performance Tracking
Quickly assess your entire portfolio’s profit, loss, daily movement, and volatility from one centralized dashboard. The summary panel gives you an instant read on how your holdings are performing and how sensitive they are to market swings.
⚪ Dividend Management
Monitor upcoming dividend amounts, ex-dates, and pay-dates directly inside your portfolio table. This ensures you never miss a payout opportunity and can plan your expected cash flow with complete clarity.
⚪ Risk Management & Optimization
Use portfolio-wide volatility and the intelligent Recommended Allocation engine to identify imbalances in your holdings. These insights help you adjust position sizes, reduce concentration risk, and maintain a more stable long-term portfolio profile.
⚪ Currency Comparison
Switch between different base currencies to evaluate performance in local or international terms. All positions are automatically normalized using live FX data, making global portfolio management effortless.
█ How It Works
Stock Management (Zeiierman) continuously gathers price, currency, dividend, and volatility data for every ticker you track. All values are automatically converted into your selected reporting currency, so global holdings remain comparable in one unified view.
It builds a live portfolio snapshot of each bar, updating position values, PnL, daily returns, YTD performance, and overall volatility. This gives you an always-current understanding of how your portfolio is performing and how each holding contributes to risk and exposure.
An intelligent, volatility-aware allocation model generates recommended portfolio weights and position sizes, helping you identify where you may be overexposed or underweighted. Dividend information is integrated directly into the table, projecting future payouts and highlighting upcoming ex-dates and pay-dates.
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Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Kill Zone GridCaca Poo-Poo Kill Zone (12pm–4pm) — Avoid the Death Hours
This indicator highlights the worst trading window of the day — the midday chop zone where liquidity dies, algo volume disappears, spreads widen, and your account slowly bleeds out from boredom and paper cuts.
From 12pm to 4pm (New York Time) the script:
• Shades the background with a bold kill-zone color
• Adds red gridline stripes to visually scream “STOP TRADING, YOU DONKEY”
• Makes the entire chart look hostile so you avoid revenge trading, boredom trading, and all forms of midday stupidity
Perfect for scalpers and trend traders who only want the clean morning moves and want a visual reminder to step away, go outside, touch grass, eat lunch, or hit the gym instead of forcing trades in garbage hours.
If you trade futures, options, or zero-day anything — this script will save you money, sanity, and years off your life.
Mini Checklist (Left-side, static)It's a mini checklist on the left side of the chart serving as a note for when you trade.
Pretty simple
