Volatility Signal-to-Noise Ratio🙏🏻 this is VSNR: the most effective and simple volatility regime detector & automatic volatility threshold scaler that somehow no1 ever talks about.
This is simply an inverse of the coefficient of variation of absolute returns, but properly constructed taking into account temporal information, and made online via recursive math with algocomplexity O(1) both in expanding and moving windows modes.
How do the available alternatives differ (while some’re just worse)?
Mainstream quant stat tests like Durbin-Watson, Dickey-Fuller etc: default implementations are ALL not time aware. They measure different kinds of regime, which is less (if at all) relevant for actual trading context. Mix of different math, high algocomplexity.
The closest one is MMI by financialhacker, but his approach is also not time aware, and has a higher algocomplexity anyways. Best alternative to mine, but pls modify it to use a time-weighted median.
Fractal dimension & its derivatives by John Ehlers: again not time aware, very low info gain, relies on bar sizes (high and lows), which don’t always exist unlike changes between datapoints. But it’s a geometric tool in essence, so this is fundamental. Let it watch your back if you already use it.
Hurst exponent: much higher algocomplexity, mix of parametric and non-parametric math inside. An invention, not a math entity. Again, not time aware. Also measures different kinds of regime.
How to set it up:
Given my other tools, I choose length so that it will match the amount of data that your trading method or study uses multiplied by ~ 4-5. E.g if you use some kind of bands to trade volatility and you calculate them over moving window 64, put VSNR on 256.
However it depends mathematically on many things, so for your methods you may instead need multipliers of 1 or ~ 16.
Additionally if you wanna use all data to estimate SNR, put 0 into length input.
How to use for regime detection:
First we define:
MR bias: mean reversion bias meaning volatility shorts would work better, fading levels would work better
Momo bias: momentum bias meaning volatility longs would work better, trading breakouts of levels would work better.
The study plots 3 horizontal thresholds for VSNR, just check its location:
Above upper level: significant Momo bias
Above 1 : Momo bias
Below 1 : MR bias
Below lower level: significant MR bias
Take a look at the screenshots, 2 completely different volatility regimes are spotted by VSNR, while an ADF does not show different regime:
^^ CBOT:ZN1!
^^ INDEX:BTCUSD
How to use as automatic volatility threshold scaler
Copy the code from the script, and use VSNR as a multiplier for your volatility threshold.
E.g you use a regression channel and fade/push upper and lower thresholds which are RMSEs multiples. Inside the code, multiply RMSE by VSNR, now you’re adaptive.
^^ The same logic as when MM bots widen spreads with vola goes wild.
How it works:
Returns follow Laplace distro -> logically abs returns follow exponential distro , cuz laplace = double exponential.
Exponential distro has a natural coefficient of variation = 1 -> signal to noise ratio defined as mean/stdev = 1 as well. The same can be said for Student t distro with parameter v = 4. So 1 is our main threshold.
We can add additional thresholds by discovering SNRs of Student t with v = 3 and v = 5 (+- 1 from baseline v = 4). These have lighter & heavier tails each favoring mean reversion or momentum more. I computed the SNR values you see in the code with mpmath python module, with precision 256 decimals, so you can trust it I put it on my momma.
Then I use exponential smoothing with properly defined alphas (one matches cumulative WMA and another minimizes error with WMA in moving window mode) to estimate SNR of abs returns.
…
Lightweight huh?
∞
Recherche dans les scripts pour "bot"
High Volume Bars (Advanced)High Volume Bars (Advanced)
High Volume Bars (Advanced) is a Pine Script v6 indicator for TradingView that highlights bars with unusually high volume, with several ways to define “unusual”:
Classic: volume > moving average + N × standard deviation
Change-based: large change in volume vs previous bar
Z-score: statistically extreme volume values
Robust mode (optional): median + MAD, less sensitive to outliers
It can:
Recolor candles when volume is high
Optionally highlight the background
Optionally plot volume bands (center ± spread × multiplier)
⸻
1. How it works
At each bar the script:
Picks the volume source:
If Use Volume Change vs Previous Bar? is off → uses raw volume
If on → uses abs(volume - volume )
Computes baseline statistics over the chosen source:
Lookback bars
Moving average (SMA or EMA)
Standard deviation
Optionally replaces mean/std with robust stats:
Center = median (50th percentile)
Spread = MAD (median absolute deviation, scaled to approx σ)
Builds bands:
upper = center + spread * multiplier
lower = max(center - spread * multiplier, 0)
Flags a bar as “high volume” if:
It passes the mode logic:
Classic abs: volume > upper
Change mode: abs(volume - volume ) > upper
Z-score mode: z-score ≥ multiplier
AND the relative filter (optional): volume > average_volume * Min Volume vs Avg
AND it is past the first Skip First N Bars from the start of the chart
Colors the bar and (optionally) the background accordingly.
⸻
2. Inputs
2.1. Statistics
Lookback (len)
Number of bars used to compute the baseline stats (mean / median, std / MAD).
Typical values: 50–200.
StdDev / Z-Score Multiplier (mult)
How far from the baseline a bar must be to count as “high volume”.
In classic mode: volume > mean + mult × std
In z-score mode: z ≥ mult
Typical values: 1.0–2.5.
Use EMA Instead of SMA? (smooth_with_ema)
Off → uses SMA (slower but smoother).
On → uses EMA (reacts faster to recent changes).
Use Robust Stats (Median & MAD)? (use_robust)
Off → mean + standard deviation
On → median + MAD (less sensitive to a few insane spikes)
Useful for assets with occasional volume blow-ups.
⸻
2.2. Detection Mode
These inputs control how “unusual” is defined.
• Use Volume Change vs Previous Bar? (mode_change)
• Off (default) → uses absolute volume.
• On → uses abs(volume - volume ).
You then detect jumps in volume rather than absolute size.
Note: This is ignored if Z-Score mode is switched on (see below).
• Use Z-Score on Volume? (Overrides change) (mode_zscore)
• Off → high volume when raw value exceeds the upper band.
• On → computes z-score = (value − center) / spread and flags a bar as high when z ≥ multiplier.
Z-score mode can be combined with robust stats for more stable thresholds.
• Min Volume vs Avg (Filter) (min_rel_mult)
An extra filter to ignore tiny-volume bars that are statistically “weird” but not meaningful.
• 0.0 → no filter (all stats-based candidates allowed).
• 1.0 → high-volume bar must also be at least equal to average volume.
• 1.5 → bar must be ≥ 1.5 × average volume.
• Skip First N Bars (from start of chart) (skip_open_bars)
Skips the first N bars of the chart when evaluating high-volume conditions.
This is mostly a safety / cosmetic option to avoid weird behavior on very early bars or backfill.
⸻
2.3. Visuals
• Show Volume Bands? (show_bands)
• If on, plots:
• Upper band (upper)
• Lower band (lower)
• Center line (vol_center)
These are plotted on the same pane as the script (usually the price chart).
• Also Highlight Background? (use_bg)
• If on, fills the background on high-volume bars with High-Vol Background.
• High-Vol Bar Transparency (0–100) (bar_transp)
Controls the opacity of the high-volume bar colors (up / down).
• 0 → fully opaque
• 100 → fully transparent (no visible effect)
• Up Color (upColor) / Down Color (dnColor)
• Regular bar colors (non high-volume) for up and down bars.
• Up High-Vol Base Color (upHighVolBase) / Down High-Vol Base Color (dnHighVolBase)
Base colors used for high-volume up/down bars. Transparency is applied on top of these via bar_transp.
• High-Vol Background (bgHighVolColor)
Background color used when Also Highlight Background? is enabled.
⸻
3. What gets colored and how
• Bar color (barcolor)
• Up bar:
• High volume → Up High-Vol Color
• Normal volume → Up Color
• Down bar:
• High volume → Down High-Vol Color
• Normal volume → Down Color
• Flat bar → neutral gray
• Background color (bgcolor)
• If Also Highlight Background? is on, high-volume bars get High-Vol Background.
• Otherwise, background is unchanged.
⸻
4. Alerts
The indicator exposes three alert conditions:
• High Volume Bar
Triggers whenever is_high is true (up or down).
• High Volume Up Bar
Triggers only when is_high is true and the bar closed up (close > open).
• High Volume Down Bar
Triggers only when is_high is true and the bar closed down (close < open).
You can use these in TradingView’s “Create Alert” dialog to:
• Get notified of potential breakout / exhaustion bars.
• Trigger webhook events for bots / custom infra.
⸻
5. Recommended presets
5.1. “Classic” high-volume detector (closest to original)
• Lookback: 150–200
• StdDev / Z-Score Multiplier: 1.0–1.5
• Use EMA Instead of SMA?: off
• Use Robust Stats?: off
• Use Volume Change vs Previous Bar?: off
• Use Z-Score on Volume?: off
• Min Volume vs Avg (Filter): 0.0–1.0
Behavior: Flags bars whose volume is notably above the recent average (plus a bit of noise filtering), same spirit as your initial implementation.
⸻
5.2. Volatility-aware (Z-score) mode
• Lookback: 100–200
• StdDev / Z-Score Multiplier: 1.5–2.0
• Use EMA Instead of SMA?: on
• Use Robust Stats?: on (if asset has huge spikes)
• Use Volume Change vs Previous Bar?: off (ignored anyway in z-score mode)
• Use Z-Score on Volume?: on
• Min Volume vs Avg (Filter): 0.5–1.0
Behavior: Flags bars that are “statistically extreme” relative to recent volume behavior, not just absolutely large. Good for assets where baseline volume drifts over time.
⸻
5.3. “Wake-up bar” (volume acceleration)
• Lookback: 50–100
• StdDev / Z-Score Multiplier: 1.0–1.5
• Use EMA Instead of SMA?: on
• Use Robust Stats?: optional
• Use Volume Change vs Previous Bar?: on
• Use Z-Score on Volume?: off
• Min Volume vs Avg (Filter): 0.5–1.0
Behavior: Emphasis on sudden increases in volume rather than absolute size – useful to catch “first active bar” after a quiet period.
⸻
6. Limitations / notes
• Time-of-day effects
The script currently treats the entire chart as one continuous “session”. On 24/7 markets (crypto) this is fine. For regular-session assets (equities, futures), volume naturally spikes at open/close; you may want to:
• Use a shorter Lookback, or
• Add a session-aware filter in a future iteration.
• Illiquid symbols
On very low-liquidity symbols, robust stats (Use Robust Stats) and a non-zero Min Volume vs Avg can help avoid “everything looks extreme” problems.
• Overlay behavior
overlay = true means:
• Bars are recolored on the price pane.
• Volume bands are also drawn on the price pane if enabled.
If you want a dedicated panel for the bands, duplicate the logic in a separate script with overlay = false.
Market Breadth Decision HelperMarket Breadth Decision Helper (NYSE/NASDAQ VOLD, ADD, TICK)
Combines NYSE VOLD, NASDAQ VOLD (VOLDQ), NYSE/NASDAQ ADD, and TICK into a single intraday dashboard for tactical bias and risk management.
Tiered pressure scale (sign shows direction, abs(tier) shows intensity): 0 = Neutral, 1 = Mild, 2 = Strong, 3 = Severe, 4 = Panic. On-chart legend makes this explicit.
Table view highlights value, tier, bull/bear point contributions, and notes (PANIC, OVERRIDE, DIVERGENCE). VOLD and ADD panic trigger “stand down”; VOLD ±2 triggers bull/bear overrides; NYSE vs NASDAQ ADD divergence triggers “scalp only.”
Bull/bear points: VOLD 2 pts, ADD NYSE 2 pts, ADD NASDAQ 1 pt, TICK 1 pt. ≥3 pts on a side lifts that side’s multiplier to 1.5. Bias flips Bullish/Bearish only if a side leads and has ≥2 pts; otherwise Neutral.
Breadth modes: PANIC_NO_TRADE → DIVERGENCE_SCALP_ONLY → VOLD_OVERRIDE_BULL/BEAR → NORMAL/NO_EDGE.
Intraday context: tracks current session day_high / day_low for the chart symbol.
JSON/Alert export (optional) sends raw values plus *_tier and *_tier_desc labels (NEUTRAL/MILD/STRONG/SEVERE/PANIC) with sign/magnitude hints, so agents/bots never have to guess what “1 vs 2 vs 3 vs 4” mean.
Customizable bands for VOLD/ADD/TICK, table styling, label placement, and dashboard bias input to align with higher-timeframe context.
Best use
Quick read on internal participation and pressure magnitude.
Guardrails: respect PANIC and overrides; treat divergence as “scalp only.”
Pair with your strategy entries; let breadth govern when to press, scale back, or stand down.
Symbols (defaults)
VOLD (NYSE volume diff), VOLDQ (NASDAQ volume diff), ADD (NYSE), ADDQ (NASDAQ), TICK (NYSE). Adjust in Inputs as needed.
Alerts
Panic, divergence, strong bullish/bearish breadth. Enable JSON export to feed algo/agent workflows.
EMA Cross Strategy v5 (30 lots) (15 min candle only)- safe flip🚀 EMA Cross Strategy v5 (30 Lots) (15 min candle only)— Safe Flip Edition
Fully Automated | Fast | Reliable | Battle-tested
Welcome to a clean, powerful, and automation-friendly EMA crossover system.
This strategy is built for traders who want consistent trend-based entries without the risk of unwanted pyramiding or doubled positions.
🔥 How It Works
This strategy uses a fast EMA (10) crossing a slow EMA (20) to detect trend shifts:
Bullish Crossover → LONG (30 lots)
Bearish Crossover → SHORT (30 lots)
Every opposite signal safely flips the position by first closing the current trade, then opening a fresh position of exactly 30 lots.
No doubling.
No runaway position size.
No surprises.
Just clean, mechanical trend-following.
📈 Why This Strategy Stands Out
Unlike basic EMA crossbots, this version:
✔ Prevents unintended pyramiding
✔ Never over-allocates capital
✔ Works perfectly with webhook-based automation
✔ Produces stable, systematic entries
✔ Executes directional flips with precision
🔍 Backtest Highlights (1-Year)
(Backtests will vary by instrument/timeframe)
1,500+ trades executed
Profit factor above 1.27
Strong trend performance
Balanced long/short behavior
No margin calls
Consistent trade execution
This strategy thrives in trending markets and maintains strict discipline even in choppy conditions.
⚙️ Automation Ready
Designed for automated execution via webhook and API setups on supported platforms.
Just connect, run, and let the bot follow the rules without hesitation.
No emotions.
No overtrading.
No fear or greed.
Pure logic.
BTC EMA 5-9 Flip Strategy AutobotThis strategy is designed for fast and accurate trend-following trades on Bitcoin.
It uses a crossover between EMA 5 and EMA 9 to detect instant trend reversals and automatically flips between Long and Short positions.
How the strategy works
EMA 5 crossing above EMA 9 → Long
EMA 5 crossing below EMA 9 → Short
Automatically closes the opposite trade during a flip
Executes trades only on candle close
Prevents double entries with internal position-state logic
Fully compatible with automated trading via webhooks (Delta Exchange)
Why this strategy works
EMA 5–9 is extremely responsive for BTC’s volatility
Captures trend reversals early
Works best on 15-minute timeframe
Clean, simple logic without over-filtering reduces missed opportunities
Performs well in both uptrends and downtrends
Automation Ready
This strategy includes alert conditions and webhook-ready JSON for automated execution.
This is a fast-reacting BTC bot designed for intraday and swing crypto trend trading.
Moving Average Band StrategyOverview
The Moving Average Band Strategy is a fully customizable breakout and trend-continuation system designed for traders who need both simplicity and control.
The strategy creates adaptive bands around a user-selected moving average and executes trades when price breaks out of these bands, with advanced risk-management settings including optional Risk:Reward targets.
This script is suitable for intraday, swing, and positional traders across all markets — equities, futures, crypto, and forex.
Key Features
✔ Six Moving Average Types
Choose the MA that best matches your trading style:
SMA
EMA
WMA
HMA
VWMA
RMA
✔ Dynamic Bands
Upper Band built from MA of highs
Lower Band built from MA of lows
Adjustable band offset (%)
Color-coded band fill indicating price position
✔ Configurable Strategy Preferences
Toggle Long and/or Short trades
Toggle Risk:Reward Take-Profit
Adjustable Risk:Reward Ratio
Default position sizing: % of equity (configurable via strategy settings)
Entry Conditions
Long Entry
A long trade triggers when:
Price crosses above the Upper Band
Long trades are enabled
No existing long position is active
Short Entry
A short trade triggers when:
Price crosses below the Lower Band
Short trades are enabled
No existing short position is active
Clear entry markers and price labels appear on the chart.
Risk Management
This strategy includes a complete set of risk-controls:
Stop-Loss (Fixed at Entry)
Long SL: Lower Band
Short SL: Upper Band
These levels remain constant for the entire trade.
Optional Risk:Reward Take-Profit
Enabled/disabled using a toggle switch.
When enabled:
Long TP = Entry + (Risk × Risk:Reward Ratio)
Short TP = Entry – (Risk × Risk:Reward Ratio)
When disabled:
Exits are handled by reverse crossover signals.
Exit Conditions
Long Exit
Stop-Loss Hit (touch-based)
Take-Profit Hit (if enabled)
Reverse Band Crossover (if TP disabled)
Short Exit
Stop-Loss Hit (touch-based)
Take-Profit Hit (if enabled)
Reverse Band Crossover (if TP disabled)
Exit markers and price labels are plotted automatically.
Visual Tools
To improve clarity:
Upper & Lower Band (blue, adjustable width)
Middle Line
Dynamic band fill (green/red/yellow)
SL & TP line plotting when in position
Entry/Exit markers
Price labels for all executed trades
These are built to help users visually follow the strategy logic.
Alerts Included
Every trading event is covered:
Long Entry
Short Entry
Long SL / TP / Cross Exit
Short SL / TP / Cross Exit
Combined Alert for webhook/automation (JSON-formatted)
Perfect for algo trading, Discord bots, or automation platforms.
Best For
This strategy performs best in:
Trending markets
Breakout environments
High-momentum instruments
Clean intraday swings
Works seamlessly on:
Stocks
Index futures
Commodities
Crypto
Forex
⚠️ Important Disclaimer
This script is for educational purposes only.
Trading involves risk. Backtest results are not indicative of future performance.
Always validate settings and use proper position sizing.
Buy/Sell/SL/TP + MTF + Candle-close (v6)This indicator provides clean Buy/Sell signals with automatic Stop-Loss and Take-Profit levels, multi-timeframe filtering, and confirmed candle-close alerts to avoid false signals. SL/TP can be calculated using percentage or ATR.
It includes full alertconditions for Buy, Sell, SL hit, and TP hit, plus optional JSON webhook alerts for automation (WhatsApp, Telegram, bots, etc.).
Ideal for intraday and swing traders who want simple entries, clear risk management, and fast automated notifications.
Qullamagi EMA Breakout Autotrade (Crypto Futures L+S)Title: Qullamagi EMA Breakout – Crypto Autotrade
Overview
A crypto-focused, Qullamagi-style EMA breakout strategy built for autotrading on futures and perpetual swaps.
It combines a 5-MA trend stack (EMA 10/20, SMA 50/100/200), volatility contraction boxes, volume spikes and an optional higher-timeframe 200-MA filter. The script supports both long and short trades, partial take profit, trailing MA exits and percent-of-equity position sizing for automated crypto futures trading.
Key Features (Crypto)
Qullamagi MA Breakout Engine – trades only when price is aligned with a strong EMA/SMA trend and breaks out of a tight consolidation range. Longs use: Close > EMA10 > EMA20 > SMA50 > SMA100 > SMA200. Shorts are the mirror condition with all MAs sloping in the trend direction.
Strict vs Loose Modes – Strict (Daily) is designed for cleaner swing trades on 1H–4H (full MA stack, box+ATR and volume filters, optional HTF filter). Loose (Intraday) focuses on 10/20/50 alignment with relaxed filters for more frequent 15m–30m signals.
Volatility & Volume Filters for Crypto – ATR-based box height limit to detect volatility contraction, wide-candle filter to avoid chasing exhausted breakouts, and a volume spike condition requiring current volume to exceed an SMA of volume.
Higher-Timeframe Trend Filter (Optional) – uses a 200-period SMA on a higher timeframe (default: 1D). Longs only when HTF close is above the HTF 200-SMA, shorts only when it is below, helping avoid trading against dominant crypto trends.
Autotrade-Oriented Trade Management – position size as % of equity, initial stop anchored to a chosen MA (EMA10 / EMA20 / SMA50) with optional buffer, partial take profit at a configurable R-multiple, trailing MA exit for the remainder, and an optional cooldown after a full exit.
Markets & Timeframes
Best suited for BTC, ETH and major altcoin futures/perpetuals (Binance, Bybit, OKX, etc.).
Strict preset: 1H–4H charts for classic Qullamagi-style trend structure and fewer fake breakouts.
Loose preset: 15m–30m charts for higher trade frequency and more active intraday trading.
Always retune ATR length, box length, volume multiplier and position size for each symbol and exchange.
Strategy Logic (Quick Summary)
Long (Strict): MA stack in bullish alignment with all MAs sloping up → tight volatility box (ATR-based) → volume spike above SMA(volume) × multiplier → breakout above box high (close or intrabar) → optional HTF close above 200-SMA.
Short: Mirror logic: bearish MA stack, tight box, volume spike and breakdown below box low with optional HTF downtrend.
Best Practices for Crypto
Backtest on each symbol and timeframe you plan to autotrade, including commissions and slippage.
Start on higher timeframes (1H/4H) to learn the behavior, then move to 15m–30m if you want more signals.
Use the higher-timeframe filter when markets are strongly trending to reduce counter-trend trades.
Keep position-size percentage conservative until you fully understand the drawdowns.
Forward-test / paper trade before connecting to live futures accounts.
Webhook / Autotrade Integration
Designed to work with TradingView webhooks and external crypto trading bots.
Alert messages include structured fields such as: EVENT=ENTRY / SCALE_OUT / EXIT, SIDE=LONG / SHORT, STRATEGY=Qullamagi_MA.
Map each EVENT + SIDE combination to your bot logic (open long/short, partial close, full close, etc.) on your preferred exchange.
Important Notes & Disclaimer
Crypto markets are highly volatile and can change regime quickly. Backtest and forward-test thoroughly before using real capital. Higher timeframes generally produce cleaner MA structures and fewer fake breakouts.
This strategy is for educational and informational purposes only and does not constitute financial advice. Trading leveraged crypto products involves substantial risk of loss. Always do your own research, manage risk carefully, and never trade with money you cannot afford to lose.
NQ Scalping WMAThis indicator plots two Weighted Moving Averages (WMAs) derived from the high and close to visualize short-term momentum extremes on NQ (Nasdaq futures). I built it for myself for scalping reversals on the 1-minute timeframe.
The area between the upper WMA (“Top-Source”) and lower WMA (“Bot-Source”) is filled with contextual color: green when price is above the top WMA, red when price is below the bottom WMA, and neutral gray otherwise. This makes it easy to spot overextensions, potential snap-back zones, and quick mean-reversion opportunities. Inputs include WMA length, line color, and separate sources for top/bottom WMAs, allowing fast tuning for changing intraday volatility.
The original code I used to make this is from PlayBit EMA by FFriZz
Relative Performance Binary FilterDescription:
This indicator monitors the relative performance of 30 selected crypto assets and generates a binary signal for each: 1 if the asset’s price has increased above a user-defined threshold over a specified lookback period, 0 otherwise. The script produces a JSON-formatted output suitable for webhooks, allowing you to send the signals to external applications like Google Sheets.
Key Features:
Configurable lookback period, price source, and performance threshold.
Supports confirmed or real-time bar data.
Monitors 30 crypto assets simultaneously.
Produces a one-line JSON output with batch grouping for easy webhook integration.
Includes an optional visual sum plot showing how many assets are above the threshold at any time.
Use Cases:
Automate performance tracking across multiple crypto assets.
Feed binary signals into external dashboards, trading bots, or Google Sheets.
Quickly identify which assets are outperforming a set threshold.
Multi EMA + Indicators + Mini-Dashboard + Reversals v6📘 Multi EMA + Indicators + Mini-Dashboard + Reversals v6
🧩 Overview
This indicator is a multi-EMA setup that combines trend, momentum, and reversal analysis in a single visual framework.
It integrates four exponential moving averages (EMAs), key oscillators (RSI, MACD, Stochastic, CCI), volatility filtering (ATR), and a dynamic mini-dashboard that summarizes all signals in real time.
Its purpose is to help traders visually confirm trend alignment, filter valid entries, and identify possible trend continuation or reversal points.
It can display buy/sell arrows, detect reversal candles, and issue alerts when trading conditions are met.
⚙️ Core Components
1. Moving Averages (EMA Setup)
EMA1 (fast) and EMA2 (medium) define the short-term trend and trigger bias.
When the price is above both EMAs → bullish bias.
When below → bearish bias.
EMA3 and EMA4 act as trend filters. Their slopes (up or down) confirm overall momentum and help validate signals.
Each EMA has customizable lengths, sources, and colors for up/down trends.
This “EMA stack” is the foundation of the setup — a structured trend-following framework that adapts to market speed and volatility.
2. Momentum and Confirmation Filters
Each indicator can be individually enabled or disabled for flexibility.
RSI: confirms direction (above/below 50).
MACD: detects momentum crossover (MACD > Signal for bullish confirmation).
Stochastic: identifies trend continuation (K > D for longs, K < D for shorts).
CCI: adds trend bias above/below a threshold.
ATR Filter: filters out small, low-volatility candles to reduce noise.
You can activate only the filters that fit your trading plan — for instance, trend traders often use RSI and MACD, while scalpers may rely on Stochastic and ATR.
3. Reversal Detection
The indicator includes an optional Reversal Section that independently detects potential turning points.
It combines multiple configurable criteria:
Candlestick patterns (Bullish Hammer, Shooting Star).
Large Candle filter — detects unusually large bars (relative to close).
Price-to-EMA distance — identifies overextended moves that might revert.
RSI Divergence — detects potential momentum shifts.
RSI Overbought/Oversold zones (70/30 by default).
Doji Candles — sign of indecision.
A bullish or bearish reversal signal appears when enough selected criteria are met.
All sub-modules can be toggled on/off individually, giving you full control over sensitivity.
4. Signal Logic
Buy and sell signals are triggered when EMA alignment and the chosen confirmations agree:
Buy Signal
→ Price above EMA1 & EMA2
→ Confirmations (RSI/MACD/Stoch/CCI/ATR) pass
→ Trend filters (EMA3/EMA4) point upward
Sell Signal
→ Price below EMA1 & EMA2
→ Confirmations align bearishly
→ Trend filters (EMA3/EMA4) slope downward
Reversal signals can appear independently, even against the current EMA trend, depending on your settings.
5. Visual Dashboard
A mini-dashboard appears near the chart showing:
Current trade bias (LONG / SHORT / NEUTRAL)
EMA3 and EMA4 trend directions (↑ / ↓)
Quick visual bars (🟩 / 🟥) for each filter: RSI, MACD, Stoch, ATR, CCI, EMA filters
Reversal criteria status (Doji, RSI divergence, candle size, etc.)
This panel gives you a compact overview of all indicator states at a glance.
The color of the panel changes dynamically — green for bullish, red for bearish, gray for neutral.
6. Alerts
Built-in alerts allow automation or notifications:
Buy Alert
Sell Alert
Reversal Buy
Reversal Sell
You can connect these alerts to TradingView notifications or external bots for semi-automated execution.
💡 How to Use
✅ Trend-Following Setup
Focus on trades in the direction of EMA1 & EMA2.
Confirm with EMA3 & EMA4 trending in the same direction.
Use RSI/MACD/Stoch filters to ensure momentum supports the trade.
Avoid entries when ATR filter indicates low volatility.
🔄 Reversal Setup
Enable the Reversal section for potential tops/bottoms.
Look for reversal buy signals near support zones or after strong downtrends.
Use RSI divergence or Doji + Hammer signals as confirmation.
Combine with key chart areas (supply/demand or previous swing levels).
⚖️ Combination Approach
Trade continuation signals when all EMAs are aligned and filters are green.
Trade reversals only when at a key area (support/resistance) and confirmed by reversal conditions.
Always check higher-timeframe bias before entering a trade.
🧭 Practical Tips
Use different EMA sets for different timeframes:
9/21/50/100 for swing or trend trades.
5/13/34/89 for intraday scalping.
Turn off filters you don’t use to reduce lag.
Always validate signals with price structure, not just indicator alignment.
Practice in replay mode before live trading.
🗺️ Key Chart Confluence (Highly Recommended)
Although the indicator provides structured signals, its best use is in confluence with:
Support and resistance levels
Supply/demand zones
Trendlines and channels
Liquidity pools
Volume clusters
Signals aligned with strong key areas on the chart tend to have greater reliability than isolated indicator triggers.
I use EMA 1 - 20 Open ; EMA 2 - 20 Close ; EMA 3 - 50 ; EMA 4 - 200 or 100 , but that's me...
⚠️ Important Disclaimer
This indicator is a technical tool, not a guarantee of results.
Trading involves risk, and no signal is ever 100% accurate.
Every trader should develop a personal strategy, use proper risk management, and adapt settings to their instrument and timeframe.
Always combine indicator signals with key chart areas, higher-timeframe context, and your own analysis before taking a trade.
Addikro_V1📌 Description – Trend+Entry+Risk Indicator
This indicator combines statistically proven trading concepts into a complete trading framework:
✅ Trend Filter (EMA200)
All trades follow the higher-timeframe trend. Trend direction is clearly visualized.
✅ Entry Signals (you can choose):
EMA Crossover (EMA50 crossing EMA200) — classic trend-following entry
Breakout of recent highs/lows (20-bar range) — optionally only valid after a pullback to EMA50
✅ ATR-Based Risk Management:
Dynamic Stop Loss (SL) and Take Profit (TP1/TP2) levels using ATR
The last entry is saved — SL/TP lines stay visible on the chart
Optional position size suggestion based on % risk of account
✅ Smart Filters for Higher Accuracy:
RSI filter: e.g., only long if RSI > 50
Volume filter: signal only if volume is above SMA × multiplier
✅ Fixed Chart HUD (Table Overlay):
Displays live information anchored to the chart (does not move with candles)
Shows: Trend direction, entry mode, RSI, ATR, SL/TP multiplier, position size suggestion
Position can be set: top-left / top-right / bottom-left / bottom-right
✅ Signals & Alerts:
Visual arrows on the chart for long/short signals
Custom alert conditions included (works with mobile, email, webhook, bots)
🎯 Why this indicator works
It follows the same logic used by many successful systematic and hedge fund strategies:
Trend direction + statistically solid entries + strict risk management → no repainting, no guessing, no emotion.
ICT Sweep + CHoCH + FVG Alerts
### 🔥 ICT Sweep + CHoCH + FVG Alerts
Script designed to automate ICT entry confirmations using:
• Liquidity Sweep (Buy/Sell Stops taken)
• Change of Character (CHoCH)
• Fair Value Gap (FVG) confirmation
### ✅ Conditions
**Long signal when:**
1. Bearish liquidity sweep
2. Bullish CHoCH
3. Bullish FVG forms and gets respected
**Short signal when:**
1. Bullish liquidity sweep
2. Bearish CHoCH
3. Bearish FVG forms and gets respected
### 🎯 Purpose
This script helps traders detect smart-money setup entries based on ICT logic and receive alerts in real time.
### 📡 Alerts
Supports webhook automation for bots, signal servers, or trading platforms.
*This script does not place trades automatically, alerts only.*
### ⚠️ Disclaimer
This tool is for educational purposes.
Always backtest and use proper risk management.
Trend Catch STFR - whipsaw Reduced### Summary of the Setup
This trading system combines **SuperTrend** (a trend-following indicator based on ATR for dynamic support/resistance), **Range Filter** (a smoothed median of the last 100 candles to identify price position relative to a baseline), and filters using **VIX Proxy** (a volatility measure: (14-period ATR / 14-period SMA of Close) × 100) and **ADX** (Average Directional Index for trend strength). It's designed for trend trading with volatility safeguards.
- **Entries**: Triggered only in "tradeable" markets (VIX Proxy ≥ 15 OR ADX ≥ 20) when SuperTrend aligns with direction (green for long, red for short), price crosses the Range Filter median accordingly, and you're not already in that position.
- **Exits**: Purely price-based—exit when SuperTrend flips or price crosses back over the Range Filter median. No forced exits from low volatility/trend.
- **No Trade Zone**: Blocks new entries if both VIX Proxy < 15 AND ADX < 20, but doesn't affect open positions.
- **Overall Goal**: Enter trends with confirmed strength/volatility, ride them via price action, and avoid ranging/choppy markets for new trades.
This creates a filtered trend-following strategy that prioritizes quality entries while letting winners run.
### Advantages
- **Reduces Noise in Entries**: The VIX Proxy and ADX filters ensure trades only in volatile or strongly trending conditions, avoiding low-momentum periods that often lead to false signals.
- **Lets Winners Run**: Exits based solely on price reversal (SuperTrend or Range Filter) allow positions to stay open during temporary lulls in volatility/trend, potentially capturing longer moves.
- **Simple and Balanced**: Combines trend (SuperTrend/ADX), range (Filter), and volatility (VIX Proxy) without overcomplicating—easy to backtest and adapt to assets like stocks, forex, or crypto.
- **Adaptable to Markets**: The "OR" logic for VIX/ADX provides flexibility (e.g., enters volatile sideways markets if ADX is low, or steady trends if VIX is low).
- **Risk Control**: Implicitly limits exposure by blocking entries in calm markets, which can preserve capital during uncertainty.
### Disadvantages
- **Whipsaws in Choppy Markets**: As you noted, SuperTrend can flip frequently in ranging conditions, leading to quick entries/exits and small losses, especially if the Range Filter isn't smoothing enough noise.
- **Missed Opportunities**: Strict filters (e.g., requiring VIX ≥ 15 or ADX ≥ 20) might skip early-stage trends or low-volatility grinds, reducing trade frequency and potential profits in quiet bull/bear markets.
- **Lagging Exits**: Relying only on price flips means you might hold losing trades longer if volatility drops without a clear reversal, increasing drawdowns.
- **Parameter Sensitivity**: Values like VIX 15, ADX 20, or Range Filter's 100-candle lookback need tuning per asset/timeframe; poor choices could amplify whipsaws or over-filter.
- **No Built-in Risk Management**: Lacks explicit stops/targets, so it relies on user-added rules (e.g., ATR-based stops), which could lead to oversized losses if not implemented.
### How to Use It
This system can be implemented in platforms like TradingView (via Pine Script), Python (e.g., with TA-Lib or Pandas), or MT4/5. Here's a step-by-step guide, assuming TradingView for simplicity—adapt as needed. (If coding in Python, use libraries like pandas_ta for indicators.)
1. **Set Up Indicators**:
- Add SuperTrend (default: ATR period 10, multiplier 3—adjust as suggested in prior tweaks).
- Create Range Filter: Use a 100-period SMA of (high + low)/2, smoothed (e.g., via EMA if desired).
- Calculate VIX Proxy: Custom script for (ATR(14) / SMA(close, 14)) * 100.
- Add ADX (period 14, standard).
2. **Define Rules in Code/Script**:
- **Long Entry**: If SuperTrend direction < 0 (green), close > RangeFilterMedian, (VIX Proxy ≥ 15 OR ADX ≥ 20), and not already long—buy on bar close.
- **Short Entry**: If SuperTrend direction > 0 (red), close < RangeFilterMedian, (VIX Proxy ≥ 15 OR ADX ≥ 20), and not already short—sell short.
- **Exit Long**: If in long and (SuperTrend > 0 OR close < RangeFilterMedian)—sell.
- **Exit Short**: If in short and (SuperTrend < 0 OR close > RangeFilterMedian)—cover.
- Monitor No Trade Zone visually (e.g., plot yellow background when VIX < 15 AND ADX < 20).
3. **Backtest and Optimize**:
- Use historical data on your asset (e.g., SPY on 1H chart).
- Test metrics: Win rate, profit factor, max drawdown. Adjust thresholds (e.g., ADX to 25) to reduce whipsaws.
- Forward-test on demo account to validate.
4. **Live Trading**:
- Apply to a chart, set alerts for entries/exits.
- Add risk rules: Position size 1-2% of capital, stop-loss at SuperTrend line.
- Monitor manually or automate via bots—avoid overtrading; use on trending assets.
For the adjustments I suggested earlier (e.g., ADX 25, 2-bar confirmation), integrate them into entries only—test one at a time to isolate improvements. If whipsaws persist, combine 2-3 tweaks.
Scalp BTC/ETH — Reversal & Continuation (v1, Pine v6)Scalp BTC/ETH — Reversal & Continuation (1m à 10m)
Cet indicateur détecte des opportunités de micro-scalping sur futures (BTC/ETH) basées sur deux mécaniques courtes validées par structure de prix :
A) Reversal de pression (contre-mouvement contrôlé)
Détection d’une sur-extension brutale suivie d’une absorption sur la bougie suivante.
Objectif : capturer la première respiration après un excès de prix (rejet court).
B) Continuation courte (momentum + reprise)
Détection de 3 bougies directionnelles consécutives suivies d’un pullback léger, puis signal sur la reprise du mouvement initial.
Gestion intégrée (scénario standard TP dynamique)
TP1 → 50% de la position à un gain fixe (% adaptable au timeframe)
Stop déplacé au Break-Even sur le restant
Sortie finale sur bougie inverse significative
(correction ≥ X% du corps précédent) ou timeout (max bars en trade)
Scalp BTC/ETH — Reversal & Continuation (1m to 10m)
This indicator detects short-term futures scalping setups on BTC & ETH using two mechanical price-action models designed for fast execution:
A) Reversal Compression (counter-move entry)
Identifies a sharp impulse (overextension) followed by absorption / failure to extend on the next candle.
Objective: capture the first corrective pullback after exhaustion.
B) Controlled Continuation (momentum follow-through)
Identifies 3 consecutive trend candles, then a shallow pullback, and triggers an entry on the resumption of the main leg.
Built-in trade logic (dynamic TP structure)
TP1 → scale out 50% of the position at a fixed percentage (auto-scaled per timeframe)
Stop moved to Break-Even after TP1
Final exit on either:
• a meaningful opposite candle (≥ X% correction of prior body), or
• a timeout (max bars in trade)
Technical characteristics
Designed for 1m / 3m / 5m / 7m / 10m
No repainting (bar-close confirmed logic)
Works for both LONG & SHORT
Built-in alert events:
ENTRY_LONG / ENTRY_SHORT / TP1 / EXIT_STOP / EXIT_INVERSE / EXIT_TIMEOUT
Suitable for manual execution, semi-automation (alerts) or full bot integration (webhook JSON)
Purpose
Provide a repeatable, rule-based, non-subjective framework to harvest micro-moves with controlled risk, without relying on lagging indicators or long-term prediction.
(A Strategy / backtesting version is planned as a next iteration.)
Quadruple AlphaTrendKivancOzbilgi's 'Alpha Trend' indicator has been developed as 'Quadruple Alpha Trend'.
It has been extended to AlphaTrend1,2,3,4, and each line allows users to freely choose colors.
Each of the AT1 to 2 and AT3 to 4 was again color-transformed at the crossing point, respectively.
We believe that the value of AT can compensate a lot for all the shortcomings of a regular moving average.
It can show the support and resistance of the low and high points at each horizontal section and
pressed neck point at the same time
Draw a horizontal line type.
These advantages make it easy to visually break through and collapse support and resistance on the monthly, weekly, and daily charts
It makes it possible to distinguish. I think it's an excellent indicator design by Kivanc Ozbilgi.
The most similar indicator to this one is the "UT BOT", which is close to the moving average in terms of support and resistance
Because it gives a euphemism, the value of "Alpha Trend" as an index that includes horizontal support and resistance
Very highly appreciated. If you have any issues or need to develop further, please leave a note.
Short Only Bot (3Commas Webhook Uyumlu)Short işlem açmaya ce 3commans ile uyumlu hacim odaklı indikatör. halka açık herkes kullanabilir.
Algo Trading Signals - Buy/Sell System# 📊 Algo Trading Signals - Dynamic Buy/Sell System
## 🎯 Overview
**Algo Trading Signals** is a sophisticated intraday trading indicator designed for algorithmic traders and active day traders. This system generates precise buy and sell signals based on a dynamic box breakout strategy with intelligent position management, add-on entries, and automatic target adjustment.
The indicator creates a reference price box during a specified time window (default: 9:15 AM - 9:45 AM IST) and generates high-probability signals when price breaks out of this range with confirmation.
---
## ✨ Key Features
### 📍 **Smart Signal Generation**
- **Primary Entry Signals**: Clear buy/sell signals on confirmed breakouts above/below the reference box
- **Confirmation Bars**: Reduces false signals by requiring multiple bar confirmation before entry
- **Cooldown System**: Prevents overtrading with configurable cooldown periods between trades
- **Add-On Positions**: Automatically identifies optimal pullback entries for scaling into positions
### 📦 **Dynamic Reference Box**
- Creates a high/low range during your chosen time window
- Automatically updates after each successful trade
- Visual box display with color-coded boundaries (red=resistance, green=support)
- Mid-level reference line for market structure analysis
### 🎯 **Intelligent Position Management**
- **Automatic Target Calculation**: Sets profit targets based on average move distance
- **Add-On System**: Up to 3 additional entries on optimal pullbacks
- **Position Tracking**: Monitors active trades and remaining add-on capacity
- **Auto Box Shift**: Adjusts reference box after target hits for continued trading
### 📊 **Visual Clarity**
- **Color-Coded Labels**:
- 🟢 Green for BUY signals
- 🔴 Red for SELL signals
- 🔵 Blue for ADD-ON buys
- 🟠 Orange for ADD-ON sells
- ✓ Yellow for Target hits
- **TP Level Lines**: Dotted lines showing current profit targets
- **Hover Tooltips**: Detailed information on entry prices, targets, and add-on numbers
### 📈 **Real-Time Statistics**
Live performance dashboard showing:
- Total buy and sell signals generated
- Number of add-on positions taken
- Take profit hits achieved
- Current trade status (LONG/SHORT/None)
- Cooldown timer status
### 🔔 **Comprehensive Alerts**
Built-in alert conditions for:
- Primary buy entry signals
- Primary sell entry signals
- Add-on buy positions
- Add-on sell positions
- Buy take profit hits
- Sell take profit hits
---
## 🛠️ Configuration Options
### **Time Settings**
- **Box Start Hour/Minute**: Define when to begin tracking the reference range
- **Box End Hour/Minute**: Define when to lock the reference box
- **Default**: 9:15 AM - 9:45 AM (IST) - Perfect for Indian market opening range
### **Trade Settings**
- **Target Points (TP)**: Average move distance for profit targets (default: 40 points)
- **Breakout Confirmation Bars**: Number of bars to confirm breakout (default: 2)
- **Cooldown After Trade**: Bars to wait after closing position (default: 3)
- **Add-On Distance Points**: Minimum pullback for add-on entry (default: 40 points)
- **Max Add-On Positions**: Maximum additional positions allowed (default: 3)
### **Display Options**
- Toggle buy/sell signal labels
- Show/hide trading box visualization
- Show/hide TP level lines
- Show/hide statistics table
---
## 💡 How It Works
### **Phase 1: Box Formation (9:15 AM - 9:45 AM)**
The indicator tracks the high and low prices during your specified time window to create a reference box representing the opening range.
### **Phase 2: Breakout Detection**
After the box is locked, the system monitors for:
- **Bullish Breakout**: Price closes above box high for confirmation bars
- **Bearish Breakout**: Price closes below box low for confirmation bars
### **Phase 3: Signal Generation**
When confirmation requirements are met:
- Entry signal is generated with clear visual label
- Target price is calculated (Entry ± Target Points)
- Position tracking activates
- Cooldown timer starts
### **Phase 4: Position Management**
During active trade:
- **Add-On Logic**: If price pulls back by specified distance but stays within favorable range, additional entry signal fires
- **Target Monitoring**: Continuously checks if price reaches TP level
- **Box Adjustment**: After TP hit, box automatically shifts to new range for next opportunity
### **Phase 5: Trade Exit & Reset**
On target hit:
- Position closes with TP marker
- Statistics update
- Box repositions for next setup
- Cooldown activates
- System ready for next signal
---
## 📌 Best Use Cases
### **Ideal For:**
- ✅ Intraday breakout trading strategies
- ✅ Algorithmic trading systems (via alerts/webhooks)
- ✅ Opening range breakout (ORB) strategies
- ✅ Index futures (Nifty, Bank Nifty, Sensex)
- ✅ High-liquidity stocks with clear ranges
- ✅ Automated trading bots
- ✅ Scalping and day trading
### **Markets:**
- Indian Stock Market (NSE/BSE)
- Futures & Options
- Forex pairs
- Cryptocurrency (adjust timing for 24/7 markets)
- Global indices
---
## ⚙️ Integration with Algo Trading
This indicator is **algo-ready** and can be integrated with automated trading systems:
1. **TradingView Alerts**: Set up alert conditions for each signal type
2. **Webhook Integration**: Connect alerts to trading platforms via webhooks
3. **API Automation**: Use with brokers supporting TradingView integration (Zerodha, Upstox, Interactive Brokers, etc.)
4. **Signal Data Access**: All signals are plotted for external data retrieval
---
## 📖 Quick Start Guide
1. **Add Indicator**: Apply to your chart (works best on 1-5 minute timeframes)
2. **Configure Time Window**: Set your desired box formation period
3. **Adjust Parameters**: Tune confirmation bars, targets, and add-on settings to your trading style
4. **Set Alerts**: Create alert conditions for automated notifications
5. **Backtest**: Review historical signals to validate strategy performance
6. **Go Live**: Enable alerts and start receiving real-time trading signals
---
## ⚠️ Risk Disclaimer
This indicator is a **tool for analysis** and does not guarantee profits. Trading involves substantial risk of loss. Always:
- Use proper position sizing
- Implement stop losses (not included in this indicator)
- Test thoroughly before live trading
- Understand market conditions
- Never risk more than you can afford to lose
- Consider your risk tolerance and trading experience
**Past performance does not indicate future results.**
## 🔄 Version History
**v1.0** - Initial Release
- Dynamic box formation system
- Confirmed breakout signals
- Add-on position management
- Visual signal labels and statistics
- Comprehensive alert system
- Auto-adjusting target boxes
---
## 📞 Support & Feedback
If you find this indicator helpful:
- ⭐ Please leave a like/favorite
- 💬 Share your feedback in comments
- 📊 Share your results and improvements
- 🤝 Suggest features for future updates
---
## 🏷️ Tags
`breakout` `daytrading` `signals` `algo` `automated` `intraday` `ORB` `opening-range` `buy-sell` `scalping` `futures` `nifty` `banknifty` `algorithmic` `box-strategy`
*Remember: The best indicator is combined with proper risk management and trading discipline.* Use it at your own rist, not as financial advie
Long‑only Swing/ScalpThis is a basic scalper stategy for algos or crypto bots, tested on BNB, not the best backtest but you can tweak and get better results. Take profit at 1% and Sl at 2% , adjust those settings first to see different back test resutls.
Première H4 du jour • Zone High/Low (NY)This Scrypt find the top and bot of the first day's candle, from your choosen timeframe
Hybrid RSI Strategy [Heifereum ]This is a hybrid script that combines visual RSI indicator signals with an optional backtestable trading strategy.
BUY Entry: When RSI crosses above the oversold level (default 30)
SELL Exit: When RSI crosses below the overbought level (default 70)
Timeframe: Works best on trending assets (crypto, forex, indices) in 5min to 1H
Backtest Toggle: Turn ON/OFF live testing using the Enable Backtest Mode? setting
Visual Cues: Buy/Sell labels, background coloring, and alerts ready for webhook automation
Use this strategy to visually explore RSI dynamics, run performance backtests, or hook up to external bots via alerts.
Big Gong Reminder Assistant 大的要来小助手我是大的要来了小助手，我负责提醒大家大的要来了
I’m the Gong Reminder bot—here to alert everyone when the big gong is coming.
