Futures Momentum Scanner – jyoti//@version=5
indicator("Futures Momentum Scanner – Avvu Edition", overlay=false, max_lines_count=500)
//------------------------------
// USER INPUTS
//------------------------------
rsiLen = input.int(14, "RSI Length")
macdFast = input.int(12, "MACD Fast")
macdSlow = input.int(26, "MACD Slow")
macdSignal = input.int(9, "MACD Signal")
stLength = input.int(10, "Supertrend Length")
stMult = input.float(3.0, "Supertrend Multiplier")
//------------------------------
// SUPER TREND
//------------------------------
= ta.supertrend(stMult, stLength)
trendUp = stDirection == 1
//------------------------------
// RSI
//------------------------------
rsi = ta.rsi(close, rsiLen)
rsiBull = rsi > 50 and rsi < 65
//------------------------------
// MACD
//------------------------------
= ta.macd(close, macdFast, macdSlow, macdSignal)
macdBull = macd > signal and macd > 0
//------------------------------
// MOVING AVERAGE TREND
//------------------------------
ema20 = ta.ema(close, 20)
ema50 = ta.ema(close, 50)
ema200 = ta.ema(close, 200)
trendStack = ema20 > ema50 and ema50 > ema200
//------------------------------
// BREAKOUT LOGIC
//------------------------------
prevHigh = ta.highest(high, 20)
breakout = close > prevHigh
//------------------------------
// FINAL SCANNER LOGIC
//------------------------------
bullishCandidate = trendUp and rsiBull and macdBull and trendStack and breakout
//------------------------------
// TABLE OUTPUT FOR SCANNER FEEL
//------------------------------
var table t = table.new(position.top_right, 1, 1)
if barstate.islast
msg = bullishCandidate ? "✔ BUY Candidate" : "– Not a Setup"
table.cell(t, 0, 0, msg, bgcolor=bullishCandidate ? color.new(color.green, 0) : color.new(color.red, 70))
//------------------------------
// ALERT
//------------------------------
alertcondition(bullishCandidate, title="Scanner Trigger", message="This stock meets Avvu's futures scanner criteria!")
在腳本中搜尋"momentum"
QQQ Momentum Regime Rider (EMA + VWAP + ADX + Vol Pullback)My strategy catches intraday momentum, has a phenomenal return of 18% annually
Confirmed Momentum QQQ (RSI/MACD Filter)Gemini and Myself,
How This Targets a Higher Win Rate
The key to the win rate increase is the RSI 20/80 filter.
Long Signal: A long entry is now only taken if the trend is up (SMA cross), the MACD is bullish, and the RSI is not overbought (below 80). By only entering when momentum is not yet exhausted, you increase the chance that the price can travel far enough to hit your 4.0 point Take Profit.
Wider SL: The wider Stop Loss of 2.5 points reduces the chance of being stopped out prematurely by routine market movements (whipsaws), which is the number one killer of win rates in high-frequency trading.
After applying these changes, you will need to run the Strategy Tester again to see the new win rate and the new total number of trades.
Would you like me to help you interpret the new Strategy Tester results once you apply these settings?
⚡ Elite Momentum Pro🎯 Key Features
1. Smart Signal Engine
3 Signal Modes: Aggressive, Balanced, Conservative
7-Point Scoring System - Ensures high-quality signals
Anti-Flip Protection - Prevents rapid signal changes
Multiple confirmations: Supertrend, MACD, RSI, EMA alignment, momentum
2. Advanced Risk Management
3 Take Profit Levels (TP1, TP2, TP3) for scaling out
ATR-Based Dynamic Stops - Adapts to volatility
Customizable Risk:Reward (default 2.5:1)
Visual stop and target levels
3. Clean Visual Design
Color-coded price bars based on trend strength
EMA Ribbon (9, 21, 50, 200) for trend clarity
Options Momentum SignalCustomizable Intraday Options Scalping Alert.
Several important, complementary indicators combined into one simple signal that pops up under a bar to indicate sustained momentum on a trend. It uses a combination of calculations based on the 1m VWAP, price increase in contrast to previous day's close, and customizable Volatility and Volume Data.
It has adjustable values for the % increase from last close (labeled as Pre-Mkt % Threshold), minimal candle body % to filter out weaker signals, RVOL threshold, minimum CVD (it's rolling, so functions in tandem with the CVD lookback value for the number of bars.)
It offers individual boxes that can be checked on or off to help filter out noise. Boxes are: Use 1m VWAP, Use CVD, 3-bar cooldown (reduces back-to-back signals, especially on shorter (1m, 2m, and 5m) charts), VWAP bounce option to catch bounces happening in real time before the candle closes, Use RVOL, and Use Rolling CVD. These can all be checked on or off and will create vastly different signals depending on what you are filtering for.
These indicators were chosen specifically as I feel they help most with option scalping and is intended to be used alongside a few other indicators for confirmation. Personally, I use a couple anchored VWAPs (highest high, session) as well as a FRAMA channel for confirmation. I also use the following to further confirm trends: TradingView’s RVOL, CVD, and Price Pattern Oscillators, in addition to Beardy Fred's TTM Squeeze Pro.
Hope this helps some people!
Zero Lag + Momentum Bias StrategyZero Lag + Momentum Bias Strategy (MTF + Strong MBI + R:R + Partial TP + Alerts)
Opening ATR + High Momentum (10/30/60)this is a custom momentum indicator using atr
A fixed, compiling Pine v5 script is below with the three issues corrected: no plots in local scope, a ≤10-character shorttitle, and cleaned ternaries/formatting that remove the “end of line without line continuation” error.
HeatCandleHeatCandle - AOC Indicator
✨ Features
📊 Heat-Map Candles: Colors candles based on the price’s deviation from a Triangular Moving Average (TMA), creating a heat-map effect to visualize price zones.
📏 Zone-Based Coloring: Assigns colors to 20 distinct zones (Z0 to Z19) based on the percentage distance from the TMA, with customizable thresholds.
⚙️ Timeframe-Specific Zones: Tailored zone thresholds for 1-minute, 5-minute, 15-minute, 30-minute, 1-hour, and 4-hour timeframes for precise analysis.
🎨 Customizable Visuals: Gradient color scheme from deep blue (oversold) to red (overbought) for intuitive price movement interpretation.
🛠️ Adjustable Parameters: Configure TMA length and threshold multiplier to fine-tune sensitivity.
🛠️ How to Use
Add to Chart: Apply the "HeatCandle - AOC" indicator on TradingView.
Configure Inputs:
TMA Length: Set the period for the Triangular Moving Average (default: 150).
Threshold Multiplier: Adjust the multiplier to scale zone sensitivity (default: 1.0).
Analyze: Observe colored candles on the chart, where colors indicate the price’s deviation from the TMA:
Dark blue (Z0) indicates strong oversold conditions.
Red (Z19) signals strong overbought conditions.
Track Trends: Use the color zones to identify potential reversals, breakouts, or trend strength based on price distance from the TMA.
🎯 Why Use It?
Visual Clarity: The heat-map candle coloring simplifies identifying overbought/oversold conditions at a glance.
Timeframe Flexibility: Zone thresholds adapt to the selected timeframe, ensuring relevance across short and long-term trading.
Customizable Sensitivity: Adjust TMA length and multiplier to match your trading style or market conditions.
Versatile Analysis: Ideal for scalping, swing trading, or trend analysis when combined with other indicators.
📝 Notes
Ensure sufficient historical data for accurate TMA calculations, especially with longer lengths.
The indicator is most effective on volatile markets where price deviations are significant.
Pair with momentum indicators (e.g., RSI, MACD) or support/resistance levels for enhanced trading strategies.
Happy trading! 🚀📈
Weekly Setup Scanner (Trend + Momentum + Squeeze)Trend → price above weekly 20 EMA.
Momentum → weekly MACD bullish (MACD > Signal).
Volatility → weekly squeeze (Bollinger Bands inside Keltner Channels).
If all 3 conditions align → it flags the setup
High-and-Tight Impulse + Micro ConsolidationThis indicator detects a specific bullish continuation setup on daily charts:
- An impulse move (X% rise within N bars, mostly green candles)
- Immediately followed by a tight consolidation (small ranges, small bodies)
- Closes holding in the top zone of the impulse
On the chart, signals are plotted as orange dots above bars.
Labels show the last detected setup date, and a counter displays total matches in history.
Useful for backtesting "high-and-tight flag" type momentum patterns or any symbol.
Adjust inputs (impulse % threshold, bars, ATR ratios, top zone %) to make it stricter or looser.
Alerts are included when a new setup is detected.
This tool is not financial advice. For educational and research purposes only.
by fiyatherseydir
АЗЪ 3.610 - Squeeze Momentum + ADX + FastTF + Alerts + PnLStrata genius squeeze momentum + tester + adx +fast tf
MACD Momentum Slowdown Alert (Bullish + Bearish)little arrows showing on chart when MACD histogram has a slowdown (change of color) in momentum
MACD-V (Volatility-Normalised Momentum) — Spiroglou, 2022Volatility-normalized MACD per Alex Spiroglou (2022):
MACD-V = (EMA12 − EMA26) / ATR26 × 100, so momentum is expressed in ATR units and stays comparable across assets/timeframes.
What you get
• Trend-colored line: green when price ≥ EMA200, red otherwise.
• Guides: ±50 / ±100 / 0; Extremes: ±140 (editable).
• Regime shading: OB ≥ +140 shaded red; OS ≤ −140 shaded green.
• Clean, on-curve markers: small circles on the MACD-V line at the four edge events — OB (enter ≥ +threshold), OBX (cross back down), OS (enter ≤ −threshold), OSX (cross back up).
• Text labels are off by default; optional toggle only for OB/OBX.
• Signal & histogram: EMA(9) of MACD-V and (MACD-V − Signal) columns.
• Alerts: OB/OS entries & exits included.
How to use
• Favor longs when MACD-V > 0 (ideally > +50); respect OB for possible exhaustion.
• Favor shorts when MACD-V < 0 (ideally < −50); respect OS for possible exhaustion.
• Because it’s ATR-normalized, thresholds transfer well across symbols and timeframes.
Clenow Momentum (annualized slope × R²) — v6 (fixed types)Clenow Momentum Indicator calculates the annualised exponential regression slope over a 90 day look back period and multiplies it by the R-squared of that regression
