Mulakan

Educational

Multi-Symbol RSI Portfolio Simulator [Honestcowboy]The Multi-Symbol RSI Portfolio Simulator was build to test a theory, does the RSI indicator work in FOREX assets. Does it have predictive power. In this example the security function is used to fetch data for 40 different Forex pairs and it executes a very simple trading strategy. Sell when RSI hits 80, flatten if back below. Buy when RSI hits 20, flatten if back above. All executed on bar closes so no intra bar stuff. 🟦 🟦 🟦 Very Important Disclaimer This is a very crude indicator which does not calculate trading costs and assumes perfect execution of trades with zero slippage. Forex markets carry high risk and most CFD brokers ask high spreads and trading costs so this approach will most likely only work on the H4 or above Daily charts. We are observing market behaviour here, it's a study of price action not an executable ready strategy. Do your own cost analysis, simulation if you want to take this idea further. 🟦 What is the point? I build this indicator to prove that RSI indeed causes price action reactions especially on the intraday level in forex. Just like any study or paper not accounting for trading costs, this is just hypothetical and a starting point. 🟦 CALCULATION On each bar close it will check RSI value for each pair in the list. If one of the pairs meets the condition for a long or short it will open that trade on next bar open and hold it till close. Add the profits/losses to the equity line. And if condition still true on next bar do it again, this is a very crude simple form of testing. Tradingview strategy tester is superior but does not allow for multi-pair trading. Short Condition: RSI above 80 Short Exit: RSI below 70 Long Condition: RSI below 20 Long Exit: RSI above 30 The indicator also has 2 modes: Mean reversion and Trend mode. On default it uses Mean Reversion which is explained above. Trend mode does the exact opposite, so long above 80 short below 20. I've also included a table with a heatmap showing all the trading pairs the indicator uses, it's current RSI value and color based on how close indicator is to shorting or longing it from green to red with gray being middle so no direction. 🟦 USE CASES You can tweak the setting for different RSI values. Different RSI lengths and also freely change any trading pair inside the list to make your own test. I'm including some screenshots of tests here below:
Penunjuk Pine Script®
oleh Honestcowboy
M1 propath📊 M1 PROPATH – Smart Trend & Level Indicator M1 PROPATH is a powerful all-in-one trading indicator designed for trend identification, momentum confirmation, and precise entry zones. It combines four proven tools into a single, easy-to-use system. 🔹 Included Components 🔁 Supertrend Identifies overall market trend (Bullish / Bearish) Helps traders stay on the right side of the market Useful for trend-following and trailing stop logic 📈 Bollinger Bands (BB) Measures volatility and price expansion Highlights overbought and oversold zones Helps in spotting pullbacks and breakout setups 📉 EMA Pack (Exponential Moving Averages) Shows dynamic support and resistance Confirms trend strength and momentum Useful for scalping, intraday, and swing trading 🧭 Gann Levels (Square of 9 Based) Displays important price levels derived from Gann theory Helps identify high-probability reversal and reaction zones Works perfectly with BB and Supertrend for confluence-based entries
Penunjuk Pine Script®
oleh Propath_Traders
VIP ALERTS - Volume Profiles SuiteThe Volume Profile + Supply/Demand Zone + MA Suite + Fibonacci + Buy/Sell Alert indicator (often seen in advanced TradingView setups or custom "all-in-one" professional suites) is a powerful confluence-based trading tool designed for price action, institutional/Smart Money, and confluence traders. It brings together five of the most respected technical analysis concepts into one unified dashboard, helping traders identify high-probability zones and receive objective entry/exit signals. Core Components of the Indicator Volume Profile (The Foundation of Value & Liquidity) Displays horizontal histogram showing volume traded at each price level Highlights critical levels: POC (Point of Control) → price with maximum traded volume VAH / VAL (Value Area High/Low) → ~70% of volume zone HVN (High Volume Nodes) → strong acceptance/support/resistance LVN (Low Volume Nodes) → potential breakout/acceleration zones Acts as the "truth layer" — price tends to respect or react strongly when it meets significant volume history. Supply & Demand Zones (Institutional Order Blocks / Liquidity Pools) Automatically detects and draws fresh/untested zones where aggressive buying (Demand) or selling (Supply) previously occurred Usually color-coded: Green/Blue zones → Demand (potential buying interest) Red/Purple zones → Supply (potential selling pressure) Many versions include mitigation/partial fill logic + aging (fading strength of old zones) MA Suite (Multi-Timeframe Moving Averages) Collection of dynamic trend filters & dynamic S/R: Common combinations: 9/21/50/200 EMA • 20/50/100/200 SMA • VWAP Often includes EMA clouds, ribbon, or trend coloring Purpose: determine overall bias (bullish above key MAs / bearish below) + dynamic pullback zones Fibonacci Tools (Golden Ratio Mathematics) Auto or anchored retracement + extension levels Most watched zones: 0.618 – 0.65 ("Golden Pocket") → highest probability reversal area 0.786 → deep pullback / last chance area 1.272 / 1.618 / 2.618 → common extension targets Frequently overlaps with Volume Profile nodes and Supply/Demand zones → very strong confluence Buy/Sell Alert System (Signal Engine) Generates visual + sound + popup + email/webhook alerts when multiple conditions align Typical trigger logic examples: Price enters strong Demand zone + touches 0.618–0.786 Fib + above key EMA + bounces off HVN Break & retest of POC/VAH with momentum candle Rejection at Supply zone near 1.618 extension Many versions allow customizable confluence requirements (e.g. need 3/5 conditions met)
Penunjuk Pine Script®
oleh epham55016
1
The Order Flow Key LevelsThe Order Flow Key Levels — Liquidity-Based Support & Resistance The Order Flow Key Levels is a closed-source indicator that plots participation-based key levels directly on the chart as clean, horizontal lines. The goal is to help traders quickly identify key levels formed by high participation, using the interaction between price movement and executed volume. What you see on the chart The indicator draws horizontal key level lines at prices where meaningful trading activity has occurred and where price has historically shown a reaction. These lines are intended to be used as context—areas where price may pause, reject, or accept and continue. How it works (high level) At a conceptual level, the tool evaluates: Executed volume concentration at specific price levels Repeated interaction at those levels over time (participation “revisits”) Price response to participation, distinguishing between acceptance vs rejection behavior Key levels are formed from completed execution data and are designed to be non-repainting, meaning once a level is confirmed and plotted, it remains stable rather than shifting retroactively. The indicator does not predict future price direction; it provides structure and confirmation based on participation. How traders use it Treat the plotted lines as high liquidity zones Look for acceptance above/below a level as directional confirmation Use levels for entries, exits, and trade management, including defining invalidation areas beyond a level Monitor market structure as price transitions between levels (break, hold, retest, rejection) The Order Flow Key Levels is built for futures, crypto, CFDs, and other high-liquidity markets, where executed volume-based participation can provide meaningful context. While the indicator uses established price and volume concepts, it applies a proprietary methodology for identifying and filtering participation-based key levels, helping reduce noise compared to traditional support/resistance tools.
Penunjuk Pine Script®
oleh MasterOrderFlow
BOS + Golden Pocket Signal (ONLY 1H)Ye TradingView indicator Break of Structure (BOS) ke baad Fibonacci Golden Pocket (0.618–0.65) par BUY / SELL signal deta hai. 🔹 Timeframe: 1 Houre 🔹 Entry Type: Candle CLOSE pe signal 🔹 Logic: – Bullish BOS ke baad price jab Golden Pocket me close kare → BUY – Bearish BOS ke baad price jab Golden Pocket me close kare → SELL 🔹 Non-Repaint indicator 🔹 SL / TP manually use karna hai 🔹 Crypto / Forex / Stocks sab pe kaam karta hai ⚠️ Indicator sirf signal deta hai, risk management trader khud kare
Penunjuk Pine Script®
oleh Sarfaraz-trades
1
Sarfaraz magig IndicatorThis TradingView indicator generates BUY and SELL signals based on the crossover of Exponential Moving Averages (EMA 9 & EMA 50). 🔹 Indicator Logic: – When EMA 9 crosses ABOVE EMA 50 → BUY signal – When EMA 9 crosses BELOW EMA 50 → SELL signal 🔹 Designed to capture trend direction and momentum 🔹 Helps identify trend reversals and continuation trades 🔹 Signals are generated only after confirmed crossover 🔹 Non-repaint indicator 🔹 Suitable for: Crypto Forex Stocks 🔹 Works well on 5m, 15m, 1h timeframes ⚠️ This indicator provides signals only. Stop Loss, Take Profit, and risk management must be applied manually by the trader.
Penunjuk Pine Script®
oleh Sarfaraz-trades
1
BOS + Golden Pocket Signal (15m\1H)This TradingView indicator provides BUY / SELL signals after a confirmed Break of Structure (BOS) at the Fibonacci Golden Pocket (0.618–0.65). 🔹 Timeframe: 15 Minutes 🔹 Entry Type: Signal is generated on candle close 🔹 Logic: – After a Bullish BOS, when price closes inside the Golden Pocket → BUY signal – After a Bearish BOS, when price closes inside the Golden Pocket → SELL signal 🔹 Non-repaint indicator 🔹 Stop Loss / Take Profit to be managed manually 🔹 Works on Crypto, Forex, and Stock markets ⚠️ This indicator provides signals only. Risk management and trade execution are the trader’s responsibility.
Penunjuk Pine Script®
oleh Sarfaraz-trades
1
Finlu CONTINUACION PROFinlu CONTINUACIÓN PRO is an oscillator designed to detect trend continuation signals after a pullback. The logic is based on: A normalized momentum similar to Finlu Momentum PRO. A central neutral zone: when momentum pulls back into this zone without fully changing direction, it is treated as a pullback within the trend. Internal impulse levels (1, 2 and 3) to distinguish mild pullbacks from strong impulses. A signal line used to confirm crossovers or separation between the main line and the signal. An optional directional filter (DMI/ADX-style) that checks trend strength before allowing a signal. Typical usage conditions: Bullish continuation signals when there is prior upside momentum, the oscillator pulls back into the neutral zone and then turns up again, meeting the crossover/separation condition and the directional filter. Bearish continuation signals in the opposite scenario. The colored background shows the dominant side of momentum and helps visualize which sections of the chart favor long or short setups. This indicator is intended as a support tool for traders already working with market structure and supply/demand zones. It does not guarantee results and does not replace risk management or the trader’s own judgement.
Penunjuk Pine Script®
oleh Technical2024
Finlu Momentum PROFinlu Momentum PRO is a momentum oscillator designed to detect exhaustion zones and potential short-term reversals. The indicator calculates a smoothed momentum from price changes and normalizes it around 0. On top of that momentum, it builds: Overbought and oversold levels: when the main line enters these zones, it highlights extreme momentum conditions. Central neutral zone: helps distinguish strong momentum phases from consolidation phases. Signal line: a moving average of the momentum itself, used to confirm crossovers and exits from extreme zones. Repetition filters: limit the number of consecutive signals to reduce noise when the market is ranging. Reversal detection: additional conditions that require momentum to turn from extreme zones before enabling a signal. Divergences: compares price highs and lows with the momentum line to highlight potential exhaustion of the move. Basic usage: Sell signals when momentum comes from overbought, loses strength and crosses below the signal line, while passing the reversal and repetition filters. Buy signals when the opposite occurs from oversold levels. Bearish divergences appear when price makes a higher high, but momentum makes a lower high. Bullish divergences appear when price makes lower lows, but momentum makes higher lows. This indicator is designed to be combined with your own price-action and market structure analysis. It is not a buy/sell recommendation or a standalone automated system. The user remains fully responsible for risk management, instrument selection and timeframe choice.
Penunjuk Pine Script®
oleh Technical2024
Volatility Term Structure IndexVolatility Term Structure Index The Volatility Term Structure Index represents a systematic approach to measuring market stress and complacency through the analysis of volatility derivatives and their term structure relationships. This indicator draws conceptual inspiration from academic research on volatility forecasting and the informational content embedded in options markets. The theoretical foundation rests on decades of research documenting the relationship between implied volatility patterns and subsequent market returns. Black (1976) first documented the inverse relationship between equity returns and volatility changes, establishing a fundamental principle in financial economics. Whaley (2000) demonstrated how volatility indices reflect aggregate market fear and uncertainty, with systematic patterns preceding major market dislocations. Engle (2004) provided foundational work on volatility modeling that underpins modern risk measurement approaches. Unlike momentum strategies that follow price trends or contrarian approaches that bet against prevailing sentiment, this indicator operates on regime-identification principles. The relationship between short-term and long-term implied volatility reveals market expectations about risk evolution. When markets expect calm conditions to persist, the volatility term structure typically exhibits an upward slope. When stress emerges, this relationship inverts as near-term uncertainty exceeds longer-term expectations. This structural information reflects the aggregate positioning of sophisticated derivatives market participants. Methodology and calculation framework The methodology incorporates statistical normalization techniques that transform raw volatility data into comparable standardized scores. Each component factor undergoes robust z-score calculation using median absolute deviation to reduce sensitivity to outliers, a technique that proves particularly valuable during market stress when traditional standard deviation measures become unreliable. These normalized components aggregate using a weighting scheme informed by historical predictive power and correlation characteristics. The indicator produces values on a scale from zero to one hundred, where higher readings indicate calm market conditions and lower readings signal elevated stress. Readings above seventy suggest complacent environments where equity markets typically perform well. The zone between forty and seventy represents mixed conditions without strong directional bias. Readings below forty indicate meaningful stress, with values below twenty signaling crisis-level conditions. Internal quality mechanisms enhance signal reliability by requiring confirmation across multiple underlying factors before generating actionable signals. This reduces the probability of acting on isolated or unreliable readings and improves overall signal consistency. Professional application and portfolio integration Professional portfolio managers recognize the value of volatility regime indicators for risk management and tactical allocation. The fundamental insight is empirically robust: periods of low and stable volatility create supportive environments for equities, while regime transitions and elevated uncertainty warrant caution. Bollerslev, Tauchen and Zhou (2009) found that variance risk premium significantly predicts equity market returns, with volatility conditions leading price performance. For institutional investors, the index serves as one input in risk management frameworks. Asset managers might use deteriorating readings to trigger portfolio review processes, stress testing exercises, or tactical allocation adjustments. The indicator proves valuable when it diverges from consensus narratives, as volatility markets often recognize fundamental shifts before they appear in prices. Systematic investors can incorporate the index as a conditioning variable for position sizing. This integration finds support in the concept that derivatives markets often lead equity markets. Options market participants including market makers and institutional hedgers frequently possess informational advantages regarding expected market movements and tail risk. Practical implementation for individual investors When the index rises into the favorable zone above seventy with confirmed signal quality, volatility conditions support equity exposure. When the index falls below forty, reducing allocations, increasing cash reserves, or implementing protective strategies becomes appropriate. The zone between these thresholds suggests mixed conditions where other analytical frameworks should take precedence. Individual investors can treat readings as alerts warranting portfolio examination. A favorable reading might prompt consideration of whether current equity exposure aligns with targets. A stress reading could trigger review of risk reduction measures. The indicator should inform rather than dictate decisions, serving as one perspective within a broader analytical framework. Fundamental investors can use volatility readings to assess whether the risk environment supports their positioning. Technical analysts may find that volatility conditions help contextualize price patterns. Quantitative investors might incorporate volatility factors into multi-factor models. Trading behavior and strategy characteristics The index employs a regime-based methodology identifying periods when market conditions favor risk exposure versus caution. The trading logic accumulates positions when volatility conditions indicate calm environments and reduces exposure when conditions deteriorate. This approach positions with prevailing volatility market signals, recognizing that volatility regimes exhibit meaningful persistence. The indicator may signal favorable conditions while price fluctuations continue. This reflects underlying volatility metrics remaining supportive despite surface-level movements. The strategy maintains exposure during favorable volatility conditions even when prices experience temporary weakness, and advocates caution during volatility deterioration even when prices appear stable. Success requires trust in the underlying signals and acceptance that price action and volatility conditions may temporarily diverge. Suitability and implementation requirements The index aligns with investors possessing specific characteristics. A medium to long term horizon proves essential as volatility regimes operate over weeks to months. A risk management orientation that prioritizes avoiding large drawdowns suits the defensive nature during stress periods. Comfort with systematic decision making helps maintain discipline when signals conflict with market consensus. The indicator proves less suitable for day traders, investors requiring constant market exposure, and those unable to tolerate periods when the indicator conflicts with price trends. Institutional investors with strict benchmark tracking requirements may find the strategy incompatible with their mandates. For appropriate investors, the index offers a systematic framework for monitoring market conditions. By providing an objective assessment of volatility regime health, it helps recognize environment shifts and consider positioning adjustments. The strategy demands patience and discipline but rewards those characteristics with potential for improved risk-adjusted returns through drawdown reduction during stress periods. References Ang, A. and Chen, J. (2002) Asymmetric correlations of equity portfolios. Journal of Financial Economics, 63(3). Black, F. (1976) Studies of stock price volatility changes. Proceedings of the 1976 Meetings of the American Statistical Association, Business and Economics Statistics Section. Bollerslev, T., Tauchen, G. and Zhou, H. (2009) Expected stock returns and variance risk premia. The Review of Financial Studies, 22(11). Engle, R. (2004) Risk and volatility: Econometric models and financial practice. American Economic Review, 94(3). Whaley, R.E. (2000) The investor fear gauge. The Journal of Portfolio Management, 26(3).
Penunjuk Pine Script®Skrip berbayar
oleh EdgeTools
2
Futures Sizing Calculator (Greg.Trading)📐 Futures Sizing Calculator by Greg.Trading 🔍 Overview The Futures Sizing Calculator is a visual risk-management tool built for futures traders who demand precision. It allows you to define your entry, stop-loss, and maximum dollar risk, then instantly calculates optimal contract sizing—directly on the chart. No spreadsheets. No mental math. Just clear, actionable risk data. 🎯 What This Indicator Does This indicator combines trade visualization with dynamic position sizing: ✔ Draws Entry and Stop-Loss levels on the chart ✔ Highlights the risk area between entry and stop ✔ Automatically detects LONG or SHORT direction ✔ Calculates stop distance in points ✔ Determines contract size for multiple futures ✔ Displays exact dollar risk per contract size ✔ Updates instantly as prices change 📊 Supported Contracts The calculator currently supports the most commonly traded CME micro futures: MNQ – Micro Nasdaq MES – Micro S&P 500 MGC – Micro Gold Each contract is calculated using its true point value for accurate risk sizing. 🧮 How the Calculations Work (Conceptually) The script uses a fixed-risk position sizing model, commonly used by professional traders: 1️⃣ You define a maximum dollar risk per trade 2️⃣ The script measures the distance between Entry and Stop 3️⃣ That distance is multiplied by each contract’s point value 4️⃣ Contract size is calculated to stay within your risk limit You are shown two sizing options: Conservative → rounded down (risk stays below limit) Aggressive → rounded up (risk slightly exceeds limit) This lets you choose the exposure that best fits your trading plan. 🧭 Visual Trade Mapping To improve clarity and execution speed, the indicator provides: 🟩 Green / Red dotted lines for Entry and Stop 📦 A transparent risk box between those levels 🔁 A centered LONG or SHORT label inside the risk area 📌 A floating panel displaying all sizing calculations Everything is placed where your eyes already are—on the chart. ⚙️ How to Use Add the indicator to any futures chart Set your Account Size and Risk Amount Enter your Entry price Enter your Stop-Loss price Review: Trade direction Risk box Contract sizing panel Adjust entry or stop at any time and the calculations update instantly. ⭐ Why This Indicator Is Different Unlike basic sizing calculators or static tools, this indicator: ✅ Is fully chart-based ✅ Shows real dollar risk, not estimates ✅ Supports multiple contracts at once ✅ Combines numbers with visual confirmation ✅ Is built for live execution and planning It’s designed to be used during real trades, not just before them. ⚠️ Important Notes • This is a risk-management tool, not a trading strategy • It does not generate buy or sell signals • Always confirm calculations align with your broker’s specifications
Penunjuk Pine Script®
oleh NQGoat