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ES-VIX Daily Price BandsES-VIX Daily Price Bands This indicator plots dynamic intraday price bands for ES futures based on real-time volatility levels measured by the VIX (CBOE Volatility Index). The bands evolve throughout the trading day, providing volatility-adjusted price targets. Formulas: Upper Band = Daily Low + (ES Price × VIX ÷ √252 ÷ 100) Lower Band = Daily High - (ES Price × VIX ÷ √252 ÷ 100) The calculation uses the square root of 252 (trading days per year) to convert annualized VIX volatility into an expected daily move, then scales it as a percentage adjustment from the current day's extremes. Features: Real-time band calculation that updates throughout the trading session Upper band (green) extends from the current day's low Lower band (red) contracts from the current day's high Shaded zone between bands for visual clarity Information table displaying: Current ES price and VIX level Running daily high and low Current upper and lower band values
Wskaźnik Pine Script®
od alanjeremiebarbe
Session Markers - JDK AnalysisSession Markers is a tool designed to study how markets behave during specific, recurring time windows. Many traders know that price behaves differently depending on the day of the week, the time of the day, or particular market sessions such as the weekly open, the London session, or the New York open. This indicator makes those recurring windows visible on the chart and then analyzes what price typically does inside them. The result is a clear statistical understanding of how a chosen session behaves, both in direction and in strength. The script works by allowing the trader to define any time window using a start day and time and an end day and time. Every time this window occurs on the chart, the indicator highlights it with a full-height vertical band. These visual markers reveal patterns that are otherwise difficult to detect manually, such as whether certain sessions tend to trend, reverse, consolidate, or create large imbalances. They also help the trader quickly scan through historical price action to see how the market has behaved under similar conditions. For every completed session window, the indicator measures how much price changed from the moment the window began to the moment it ended. Instead of using raw price differences, it converts these changes into percentage moves. This makes the measurement consistent across different price ranges and market regimes. A one-percent move always has the same meaning, whether the asset is trading at 100 or 50,000. These percentage moves are collected for a user-selected number of past sessions, creating a dataset of how the market has behaved in the chosen time window. Based on this dataset, the indicator generates several statistics. It counts how many past sessions closed higher and how many closed lower, producing a directional tendency. It also computes the probability of an upward session by dividing the number of positive sessions by the total. More importantly, it calculates the average percentage movement for all sessions in the lookback period. This average move reflects not just the direction but also the magnitude of price changes. A session with frequent small upward moves but occasional large downward moves will show a negative average movement, even if more sessions ended positive. This creates a more realistic representation of true market behavior. Using this average movement, the script determines a “Bias” for the session. If the average percentage move is positive, the bias is considered bullish. If it is negative, the bias is bearish. If the values are very close to zero, the bias is neutral. This way, the indicator takes both frequency and impact into account, producing a magnitude-aware assessment instead of one that only counts wins and losses. A sequence such as +5%, –1% results in a bullish bias because the overall impact is strongly positive. On the other hand, a series of small gains followed by a large drop produces a bearish bias even if more sessions ended positive, because the large move dominates the average. This provides a far more truthful picture of what the market tends to do during the chosen window. All relevant statistics are displayed neatly in a small panel in the top-right corner of the chart. The panel updates in real time as new sessions complete and older ones fall out of the lookback range. It shows how many sessions were analyzed, how many ended up or down, the probability of an upward move, the average percentage change, and the final bias. The background color of the panel instantly reflects that bias, making it easy to interpret at a glance. To use the tool effectively, the trader simply needs to define a time window of interest. This could be something like the weekly opening window from Sunday to Monday, the London open each day, or even a unique custom window. After selecting how many past sessions to analyze, the indicator takes care of the rest. The vertical session markers reveal the structure visually. The statistics summarize the historical behavior objectively. The magnitude-weighted bias provides a realistic indication of whether the window tends to produce upward or downward movement on average. Session Markers is helpful because it translates repeated market timing behavior into measurable data. It exposes hidden tendencies that are easy to feel intuitively but hard to quantify manually. By analyzing both direction and magnitude, it prevents misleading interpretations that can arise from looking only at win rates. It helps traders understand whether a session typically produces meaningful moves or just small noise, whether it tends to trend or reverse, and whether its behavior has recently changed. Whether used for bias building, session filtering, or deeper market research, it offers a structured framework for understanding the market through time-based patterns.
Wskaźnik Pine Script®
od JDK-Analysis
SymFlex Band - MAD, RSI, ATRThe SymFlex Band is an adaptive volatility and momentum framework that merges three independent band models into a unified analytical tool. • The MAD Band measures deviation from the moving average using Median Absolute Deviation, providing a stable view of range-based volatility. • The RSI Momentum Band adjusts its upper and lower boundaries asymmetrically, expanding in the direction of momentum and contracting against it. • The ATR Band captures classical volatility expansion for breakout and trend-continuation conditions. Rather than placing the three indicators separately on a chart, the script synchronizes their center-line logic, compares their band distances, identifies the nearest active band, and displays real-time correlation between their dynamic ranges. This structure helps traders understand whether price behavior is dominated by range compression, momentum imbalance, or volatility expansion. The table summarizes: • active band ranges • breakout status • distance from each band • cross-band correlation This indicator is designed purely for analysis. It does not generate trade entries.
Wskaźnik Pine Script®
od surirang
SNP420/INDI/support_resist_future_levelFunctionality – short description The indicator automatically detects the latest pivot highs/lows and builds the current resistance and support levels from them. New levels start as candidate levels (dotted lines). Using an ATR-based tolerance, it counts how many times price precisely tests and rejects the level (touch + reversal). Once the minimum number of touches is reached, the level is marked as validated (solid line). The indicator also detects breakouts of S/R, colors breakout candles, projects a target level after the breakout, and highlights retests of the broken levels with boxes. autor: SNP_420 project: FNXS ps: Piece a love
Wskaźnik Pine Script®
od SNP_420
GOLD TAS/TAM (Cartoon_Futures)Highlights the 5min close range around the TAM and TAS times of gold. it works on 5min charts and belwo. it works on the 5min candle close, not the vwap per true cme TAS and TAM calculations. you need to move to 1min and adjust preset times to get the proper london settlements CME times NY TAS: Sun-Fri 6:00 p.m. - 1:30 p.m. ET (5:00 - 12:30 CT) Central time TAM: Asia TAM: Sun - Frid 6:00 p.m. ET - 3:30 p.m. China London a.m. TAM: Sun-Fri 6:00 p.m. ET - 10:32 a.m. London London p.m.: TAM Sun-Fri 6:00 p.m. ET - 3:02 p.m. London
Wskaźnik Pine Script®
od Cartoon_Futures
ES-VIX Daily Price Bands - Inner bandsES-VIX Daily Price Bands This indicator plots dynamic intraday price bands for ES futures based on real-time volatility levels measured by the VIX (CBOE Volatility Index). The bands evolve throughout the trading day, providing volatility-adjusted price targets. Formulas: Upper Band = Daily Low + (ES Price × VIX ÷ √252 ÷ 100) Lower Band = Daily High - (ES Price × VIX ÷ √252 ÷ 100) The calculation uses the square root of 252 (trading days per year) to convert annualized VIX volatility into an expected daily move, then scales it as a percentage adjustment from the current day's extremes. Features: Real-time band calculation that updates throughout the trading session Upper band (green) extends from the current day's low Lower band (red) contracts from the current day's high Inner upper band (green) at 50% of expected move Inner lower band (red) at 50% of expected move Shaded zone between bands for visual clarity Information table displaying: Current ES price and VIX level Running daily high and low Current upper and lower band values
Wskaźnik Pine Script®
od alanjeremiebarbe
SPY EMA + VWAP Day Trading Strategy (Market Hours Only)//@version=5 indicator("SPY EMA + VWAP Day Trading Strategy (Market Hours Only)", overlay=true) // === Market Hours Filter (EST / New York Time) === nySession = input.session("0930-1600", "Market Session (NY Time)") inSession = time(timeframe.period, "America/New_York") >= time(nySession, "America/New_York") // EMAs ema9 = ta.ema(close, 9) ema21 = ta.ema(close, 21) // VWAP vwap = ta.vwap(close) // Plot EMAs & VWAP plot(ema9, "EMA 9", color=color.green, linewidth=2) plot(ema21, "EMA 21", color=color.orange, linewidth=2) plot(vwap, "VWAP", color=color.blue, linewidth=2) // ----------- Signals ----------- long_raw = close > ema9 and ema9 > ema21 and close > vwap and ta.crossover(ema9, ema21) short_raw = close < ema9 and ema9 < ema21 and close < vwap and ta.crossunder(ema9, ema21) // Apply Market Hours Filter long_signal = long_raw and inSession short_signal = short_raw and inSession // Plot Signals plotshape(long_signal, title="BUY", style=shape.labelup, location=location.belowbar, color=color.green, size=size.small, text="BUY") plotshape(short_signal, title="SELL", style=shape.labeldown, location=location.abovebar, color=color.red, size=size.small, text="SELL") // Alerts alertcondition(long_signal, title="BUY Alert", message="BUY Signal (Market Hours Only)") alertcondition(short_signal, title="SELL Alert", message="SELL Signal (Market Hours Only)")
Wskaźnik Pine Script®
od hungryPiex3L
Mean Reversion — BB + Z-Score + RSI + EMA200 (TP at Opposite Z)This is a systematic mean-reversion framework for index futures and other liquid assets. This strategy combines Bollinger Bands, Z-Score dislocation, RSI extremes, and a trend-filtering EMA200 to capture short-term mean-reversion inefficiencies in NQ1!. It is designed for high-volatility conditions and uses a precise exit model based on opposite-side Z-Score targets and dynamic mid-band failure detection. 🔍 Entry Logic (Mean Reversion) : The strategy enters trades only when multiple confluence signals align: Long Setup Price at or below the lower Bollinger Band Z-Score ≤ –Threshold (deep statistical deviation) RSI ≤ oversold level Price below the EMA-200 (countertrend mean-reversion only) Cooldown must be completed No open position Short Setup Price at or above the upper Bollinger Band Z-Score ≥ Threshold RSI ≥ overbought level Price above the EMA-200 Cooldown complete No open position This multi-signal gate filters out weak reversions and focuses on mature dislocations. 🎯 Take-Profit Model: Opposite-Side Z-Score Target : Once in a trade, take-profit is set by solving for the price where the Z-Score reaches the opposite side: Long TP = Z = +Threshold Short TP = Z = –Threshold This creates a symmetric statistical exit based on reverting to equilibrium plus overshoot. 🛡️ Stop-Loss System (Volatility-Aware) : Stop losses combine: A fixed base stop (points) A standard-deviation volatility component This adapts the SL to regime changes and avoids being shaken out during rare volatility spikes. ⏳ Half-Life Exit : If a trade has not reverted within a fixed number of bars, it automatically closes. This prevents “mean-reversion traps” during trending periods. 📉 Advanced Mid-Band Exit Logic (BB Basis Failure) : This is the unique feature of the system. After entry: Wait for price to cross the Bollinger Basis (middle band) in the direction of the mean. Start a 5-bar delay timer. After 5 bars, the strategy becomes “armed.” Once armed: If price fails back through the mean, exit immediately. Intrabar exits trigger precisely (with tick-level precision if Bar Magnifier is enabled). This protects profits and exits trades at the first sign of mean-failure. ⏱️ Cooldown System : After each closed trade, a cooldown period prevents immediate re-entry. This avoids clustering and improves statistical independence of trades. 🖥️ What This Strategy Is Best For : High-volatility intraday NQ conditions Statistical mean reversion with structured confluence Traders who want clean, rule-based entries Avoiding trend-day traps using EMA and half-life logic 📊 Included Visual Elements : Bollinger Bands (Upper, Basis, Lower) BUY/SELL markers at signal generation Optional alerts for automated monitoring 🚀 Summary : This is a precision mean-reversion system built around volatility bands, statistical dislocation, and price-behavior confirmation. By combining Z-Score, RSI, EMA200 filtering, and a sophisticated mid-band failure exit, this model captures high-probability reversions while avoiding the common pitfalls of naive band-touch systems.
Strategia Pine Script®
od spyqdia
NQ-VIX Expected Move LTF LevelsNQ -VIX LTF Price Bands This indicator plots dynamic intraday price bands for NQ futures based on real-time volatility levels measured by the VIX (CBOE Volatility Index). The bands evolve throughout the trading day, providing volatility-adjusted price targets. Formulas: Upper Band = (Input TF Open) + (NQ Price × VIX x √(Input TF ÷ (23h in min) ) ÷ 100 Lower Band = Daily Open - (NQ Price × VIX x √(Input TF ÷ (23h in min) ) ÷ 100 The calculation uses the square root of Input TF ÷ (23h in min) to convert annualized VIX volatility into an expected TF move, then scales it as a percentage adjustment from the current TF input's open. Features: Real-time band calculation that updates throughout the trading session Upper band (green) extends from the current TF's open Lower band (red) contracts from the current TF's open Inner upper band (green) at 50% of expected move Inner lower band (red) at 50% of expected move Middle Inner upper band (green) at 80% of expected move Middle Inner lower band (red) at 80% of expected move Information table displaying: Current input TF Current NQ price and VIX level Current input TF Open Expected move
Wskaźnik Pine Script®
od alanjeremiebarbe
ES-VIX Expected Move LTF LevelsES-VIX LTF Price Bands This indicator plots dynamic intraday price bands for ES futures based on real-time volatility levels measured by the VIX (CBOE Volatility Index). The bands evolve throughout the trading day, providing volatility-adjusted price targets. Formulas: Upper Band = (Input TF Open) + (ES Price × VIX x √(Input TF ÷ (23h in min) ) ÷ 100 Lower Band = Daily Open - (ES Price × VIX x √(Input TF ÷ (23h in min) ) ÷ 100 The calculation uses the square root of Input TF ÷ (23h in min) to convert annualized VIX volatility into an expected TF move, then scales it as a percentage adjustment from the current TF input's open. Features: Real-time band calculation that updates throughout the trading session Upper band (green) extends from the current TF's open Lower band (red) contracts from the current TF's open Inner upper band (green) at 50% of expected move Inner lower band (red) at 50% of expected move Middle Inner upper band (green) at 80% of expected move Middle Inner lower band (red) at 80% of expected move Information table displaying: Current input TF Current ES price and VIX level Current input TF Open Expected move
Wskaźnik Pine Script®
od alanjeremiebarbe
ES-VIX Expected Move - Open basedES-VIX Daily Price Bands This indicator plots dynamic intraday price bands for ES futures based on real-time volatility levels measured by the VIX (CBOE Volatility Index). The bands evolve throughout the trading day, providing volatility-adjusted price targets. Formulas: Upper Band = Daily Open + (ES Price × VIX ÷ √252 ÷ 100) Lower Band = Daily Open - (ES Price × VIX ÷ √252 ÷ 100) The calculation uses the square root of 252 (trading days per year) to convert annualized VIX volatility into an expected daily move, then scales it as a percentage adjustment from the current day's open. Features: Real-time band calculation that updates throughout the trading session Upper band (green) extends from the current day's open Lower band (red) contracts from the current day's open Inner upper band (green) at 50% of expected move Inner lower band (red) at 50% of expected move Middle Inner upper band (green) at 80% of expected move Middle Inner lower band (red) at 80% of expected move Information table displaying: Current ES price and VIX level Daily Open Expected move
Wskaźnik Pine Script®
od alanjeremiebarbe