Supertrend + MACD + HMAIndicator Description: Supertrend + MACD + HMA
General Summary
It is a composite technical indicator that combines three analysis tools to generate buy and sell signals in institutional trading. It uses confirmation from multiple indicators to increase the precision of market entries.
Components
1. Supertrend (ST)
Function: Identifies the main market trend (bullish or bearish)
Parameters: ATR Length 10, Factor 3.0
Visualization:
Green line = Bullish trend
Red line = Bearish trend
Semi-transparent green/red background that fills the area according to direction
How it works: Uses ATR (Average True Range) to calculate dynamic support and resistance bands
2. MACD (Moving Average Convergence Divergence)
Function: Measures price momentum and direction
Parameters: Fast 18, Slow 144, Signal Smoothing 9
Components:
MACD Line (orange): Difference between two EMAs
Signal Line (purple): EMA of the MACD
Histogram (green/red columns): Difference between MACD and its signal
Green = Positive histogram (bullish momentum)
Red = Negative histogram (bearish momentum)
3. HMA 100 (Hull Moving Average)
Function: Identifies support/resistance level and price direction
Parameters: Length 100
Visualization: Blue thick line
Characteristics:
Less lag than traditional moving averages
Price > HMA = Bullish trend
Price < HMA = Bearish trend
Signal Logic
🟢 BUY SIGNAL
Generated when ANY of these conditions is met:
Total Confluence:
MACD positive (histogram > 0)
Price above HMA 100
Supertrend in Bullish mode
Supertrend Change:
Supertrend changes from Bearish to Bullish
MACD remains positive
Price above HMA
Price Crossover:
Price crosses above HMA (at candle close)
Supertrend is in Bullish mode
MACD is positive
🔴 SELL SIGNAL
Generated when ANY of these conditions is met:
Total Confluence:
MACD negative (histogram < 0)
Price below HMA 100
Supertrend in Bearish mode
Supertrend Change:
Supertrend changes from Bullish to Bearish
MACD remains negative
Price Crossover:
Price crosses below HMA (at candle close)
Supertrend is in Bearish mode
MACD is negative
Important Features
✅ Single Signal Per Type
Once a BUY is generated, no other BUY is generated until a SELL appears
Avoids multiple entries in the same direction
✅ Crossover Detection
The indicator generates signals at candle close when price crosses HMA
Allows capturing quick market moves
✅ Trend Changes
Detects when Supertrend changes direction
Provides early exits from the market
✅ Automatic Alerts
Push notifications when BUY or SELL is generated
Ideal for automated trading
אינדיקטורים ואסטרטגיות
21D EMA STRUCTUREAs an intermediate-term swing trader, the 21-day moving average is the backbone of my system. Over time, I’ve simplified my approach to the point where this is really the only indicator I keep on my charts — aside from a few key lines to help define structure and pivots.
ADX + ATR% Zonas (Overlay - Azul si ambos, si no Naranja)OVERLAY
ADX
ATR
Pintado de Zonas para Entradas Seguras
Trendslinger CVDCVD - Cumulative Volume Delta
Cumulative Volume Delta (CVD) tracks the running total of buying versus selling pressure by analyzing volume distribution within each price bar. This indicator visualizes order flow dynamics to help identify accumulation, distribution, and potential trend reversals.
How It Works
CVD calculates the "delta" (difference between buying and selling volume) for each bar and accumulates it over time. Two calculation methods are available:
Close Position: Estimates buy/sell volume based on where price closes within the bar's range. A close near the high suggests more buying pressure; a close near the low suggests more selling pressure.
Polarity: Simple method where green candles count as buy volume and red candles count as sell volume.
Key Features
Multiple Display Types: View CVD as candlesticks, line, histogram, area, or columns
Flexible Reset Options: Reset CVD hourly, daily, or weekly for cleaner intraday analysis
Divergence Detection: Automatically identifies bullish and bearish divergences between price and CVD
Session Tracking: Optional high/low reference lines for the current session
Smoothing Options: Apply SMA, EMA, WMA, or RMA smoothing to reduce noise
Info Table: Real-time display of current CVD value, bar delta, and session extremes
Built-in Alerts: Zero line crosses, divergences, and new session highs/lows
How To Use
Trend Confirmation: Rising CVD confirms bullish price action; falling CVD confirms bearish moves
Divergences: Price making new highs while CVD makes lower highs signals weakening buying pressure (bearish). Price making new lows while CVD makes higher lows signals weakening selling pressure (bullish)
Zero Line: CVD crossing above zero suggests buyers taking control; crossing below suggests sellers dominating
Hourly Resets: Useful for scalping and intraday trading to track momentum within each hour
Moving Average Channel Breakout (No Repaint) This indicator creates a channel using two simple moving averages: SMA of highs (upper line) and SMA of lows (lower line).
How it works:
- When a candle closes above the upper channel line, the following candles turn green (bullish trend)
- When a candle closes below the lower channel line, the following candles turn red (bearish trend)
- The trend color remains until a breakout in the opposite direction occurs
Anti-repaint:
This indicator does NOT repaint. The candle color is determined at the open, based on the previous candle's close. Once a candle opens with a color, that color never changes.
Breakout strategy:
- Candle opens green → Long entry signal
- Candle opens red → Short entry signal
The signal and entry moment are perfectly synchronized at the candle open, making it ideal for systematic breakout strategies.
Phenom(指標版:EMA 交叉訊號 v8.8 + 結構與風險)標題 (Title): Phenom Intelligence: Trend & Risk Structure System (v8.8)
內文 (Description):
Introduction Phenom Intelligence v8.8 is a comprehensive trading system designed to capture trends while strictly managing risk. It integrates Dynamic EMA Structures, Momentum Filters, and Risk Boundaries (ATR & Pivots) into one chart, providing a complete decision-making framework.
Key Features
Dynamic EMA Ribbon: Automatically adjusts EMA lengths based on the selected mode (Swing, Scalping, Trend-Following, or Long-Term Investment).
ATR Risk Channel: Visualizes volatility risk. A close below the lower ATR band signals a potential structure break and suggests defensive measures.
Pivot Points (Auto-Structure): Automatically plots Pivot (P), Resistance (R1), and Support (S1) levels to identify optimal take-profit and stop-loss zones.
Golden Confluence Signals: High-quality buy/sell signals are triggered only when Trend, Momentum (MACD), RSI, and Multi-Timeframe (MTF) conditions align.
Disclaimer This script is "Invite-Only" and intended for educational purposes. It does not constitute financial advice.
系統簡介 Phenom Intelligence v8.8 是一套專為捕捉波段趨勢與風險控管而設計的綜合交易系統。整合了「趨勢結構」、「動能濾網」與「風險邊界」,協助交易者在進場前具備完整的決策依據。
核心功能
智能趨勢均線 (Dynamic EMA): 內建四種戰略模式,系統會根據選定的模式自動調整均線週期。
ATR 動態風險通道: 以均線為軸心繪製波動率通道。當價格跌破下通道時,視為結構破壞警訊,提供客觀的離場參考。
結構支撐壓力 (Pivots): 自動計算關鍵結構點位。R1 (阻力) 可作為獲利調節目標,S1 (支撐) 作為防守區。
黃金共振訊號: 當 EMA 趨勢、MACD 動能、RSI 強度與多週期狀態完全共振時,才會觸發特定訊號,過濾雜訊。
免責聲明 本指標僅供技術分析參考與教育用途,不代表任何形式的投資建議。
MC2 Daily Screener//@version=5
indicator("MC2 Daily Screener", overlay = false)
// 🔹 Inputs
relVolThresh = input.float(2.0, "RelVol Threshold")
rangeMult = input.float(2.0, "Range Multiplier")
lookback = input.int(20, "Lookback Bars")
// 🔹 Calculations
relVol = volume / ta.sma(volume, lookback)
rangeNow = high - low
rangeAvg = ta.sma(rangeNow, lookback)
// 🔥 MC² condition
mc2 = relVol > relVolThresh and rangeNow > rangeAvg * rangeMult
// 🔹 Convert to numeric (1 = signal, 0 = none)
mc2Value = mc2 ? 1.0 : 0.0
// This plot is what Pine Screener will use as a column/filter
plot(mc2Value, title = "MC2", style = plot.style_columns)
// Optional: alert so you can also use alertconditions in the Screener
alertcondition(mc2, title = "MC2 Signal", message = "MC2 signal on {{ticker}} ({{interval}})")
Mason Breakout Engine v1.0//@version=5
indicator("MC2 Pine Screener", overlay=false)
// Inputs
relVolThresh = input.float(2.0)
rangeMult = input.float(2.0)
lookback = input.int(20)
// Calculations
relVol = volume / ta.sma(volume, lookback)
rangeNow = high - low
rangeAvg = ta.sma(rangeNow, lookback)
// Signal
mc2 = relVol > relVolThresh and rangeNow > rangeAvg * rangeMult
// Screener export (1 or 0)
export = mc2
MG SUPORTE E RESISTENCIASupport and resistance tested on MNQ; you can choose between daily, weekly, or monthly
CRT EngineContrarian Reversal Timing Engine (CRT Engine) is a precision tool designed to highlight moments when market conditions become favorable for reversal trades, specifically in areas where liquidity, volatility, and institutional flow behavior tend to converge.
This indicator does not use traditional oscillators, lagging signals, or simple pattern recognition.
Instead, it synthesizes several internal market dynamics into two simple, actionable signals.
🔹 How to Use
Buy Reversal Signal (Green Triangle)
A green upward‑pointing triangle appears below the candle when internal conditions align in a way that historically precedes short‑term upward reversals.
This signal tends to appear after:
Downside exhaustion
Aberrant selling behavior
A shift in underlying order‑flow balance
A short‑term reversion in market microstructure
How to trade it:
Consider long entries on or immediately after the signal bar.
Works best during sharp pullbacks, liquidity sweeps, forced unwinds, and algorithmic overextensions.
Sell Reversal Signal (Red Triangle)
A red downward‑facing triangle appears above the candle when an upward move is likely nearing its limit and conditions favor a downward reversal.
This typically occurs when:
Buying pressure overextends
Internal volatility begins contracting
Upward thrust loses structural support
Short‑term flow shifts direction
How to trade it:
Consider short entries on or immediately after the signal bar.
Particularly effective near blow‑off moves, stop‑runs, or aggressive squeezes.
🔹 Background Color Highlights (Optional Filter)
Faint Green Background: Market environment is favorable for upside reversal.
Faint Red Background: Market environment is favorable for downside reversal.
These zones can help avoid trading against stronger conditions.
🔹 Recommended Usage
Works on any timeframe, but intraday periods (1m–15m) often show the cleanest signals.
Pairs well with VWAP, liquidity sweeps, key levels, and structural displacement.
Designed for traders who favor contrarian, mean‑reversion, or liquidity‑based setups.
🔹 What This Indicator Does Not Do
It does not follow trends.
It does not measure overbought/oversold like RSI.
It does not use MACD, moving average crosses, or classical oscillators.
Instead, it focuses on internal flow conditions, extreme extension behavior, and short‑term market inefficiencies that often precede reversals driven by liquidity algorithms and institutional positioning.
🔹 Important Notes
Signals do not repaint once the candle closes.
This is not a high‑frequency timing tool; it identifies high‑probability reversal zones, not exact bottoms/tops.
Works best when combined with good execution, structure awareness, and market context AND IS NOT DESIGNED TO OPERATE AS A STANDALONE.
SnR Painter 2.1Easy to use - this provide the resistant and support levels with many options to turn on or off the look and feel such as:
- background color
- display/hide the support/resistance lines
- display/hide the support/resistance prices
- highlight recent S/R
Emitter + Extensive [CLEVER]The provided script is a complex, two-part Pine Script indicator designed for use on TradingView. It combines two main strategies: the Emitter module for generating trading signals using an oscillator, and the Extensive module for identifying trend direction and potential liquidity zones using a variation of the Variable Index Dynamic Average .
Here is a description of its components and function:
Indicator Name
"Emitter + Extensive " (set to overlay = true, meaning it draws directly over the price chart).
OANDA:XAUUSD CITYINDEX:GBPMXN OANDA:BTCUSD OANDA:EURUSD OANDA:USDCNH OANDA:XAUUSD
Emitter Module
This module is designed to generate specific buy/sell signals based on a modified Relative Strength Index (RSI) oscillator.
Core Logic: It calculates the RSI (Length 10) and applies a custom smoothing technique called "Discontinued Signal Lines (DSL)" and a "Zero-Lag Exponential Moving Average (ZLEMA)". This creates an oscillator line (dsl_osc) and upper/lower bounds (level_up, level_dn).
Timeframes: It supports multi-timeframe (MTF) analysis, allowing the user to view oscillator signals calculated from a different timeframe than the one currently displayed on the chart via the request.security() function.
Signals:
Buy (Up) Signal: A green triangle appears below the bar when the oscillator crosses above its lower DSL line (level_dn) and the oscillator is below 55 (suggesting a potential entry from oversold conditions). The background and candle color turn green.
Sell (Down) Signal: A red triangle appears above the bar when the oscillator crosses below its upper DSL line (level_up) and the oscillator is above 50. The background and candle color turn red.
Visuals: It uses plotshape for triangles, bgcolor for background shading, and plotcandle to color the actual price candles based on the identified trend signals.
Extensive Module
This module is intended to identify the primary market trend and potential areas of support/resistance ("liquidity levels"). The latter part of this module relating to drawing liquidity lines appears to be incomplete or disabled in the provided code.
Core Logic: It utilizes the VIDYA (Variable Index Dynamic Average), a moving average that adjusts its smoothing factor based on market volatility (momentum). The ta.atr(200) is used to measure volatility.
Trend Identification:
It calculates upper and lower bands around the VIDYA value using an ATR multiplier (band_distance).
The is_trend_up boolean variable changes state when the price (src_tf) crosses these bands.
The indicator defines an uptrend when the price crosses above the upper_band, and a downtrend when the price crosses below the lower_band.
Liquidity/Support (Incomplete): The script initializes arrays (liquidity_lines_low, liquidity_lines_high) and a placeholder extend_liquidity_lines function, suggesting an intent to plot historical pivot points or support/resistance lines that get extended across the chart. However, this functionality is not fully implemented in the provided snippet.
Summary
The combined indicator provides a comprehensive trading view:
Trend Context: The "Extensive" module establishes the overarching direction (up or down trend) based on volatility-adjusted moving averages.
Entry Signals: The "Emitter" module provides specific, colored visual signals (triangles and candle colors) when an underlying oscillator moves into favorable positions within that trend context.
Customization: Both modules offer user inputs to adjust lengths, momentum factors, distance factors, and timeframes, making it highly customizable within the TradingView interface
Clean Day End TradingThis script visualizes the complete Clean Box Breakout framework.
It automatically detects the intraday boundary window, builds a dynamic High/Low box, and locks levels at boundary close.
Features include:
• Dynamic boundary High/Low with optional historical day-1 & day-2 levels
• Automatic box visualization and real-time level updates
Ideal for traders who want clean, visual confirmation of the breakout model without running a strategy.
💻 RSI Dual-Band Reversal Strategy (Hacker Mode)This 💻 RSI Dual-Band Reversal Strategy (Hacker Mode) is a mean-reversion trading strategy built on the Relative Strength Index (RSI) indicator.
It identifies potential trend reversals when price momentum reaches extreme overbought or oversold levels — then enters trades expecting the price to revert.
OANDA:USDCNH OANDA:USDCNH OANDA:EURUSD OANDA:BTCUSD CITYINDEX:GBPMXN OANDA:XAUUSD
⚙️ Strategy Concept
The RSI measures market momentum on a scale of 0–100.
When RSI is too low, it signals an oversold market → potential buy.
When RSI is too high, it signals an overbought market → potential sell.
This strategy sets two reversal zones using dual RSI bands:
Zone RSI Range Meaning Action
Upper Band 80–90 Overbought Prepare to Sell
Lower Band 10–20 Oversold Prepare to Buy
🧩 Code Breakdown
1. Input Parameters
rsiLength = input.int(14)
upperBandHigh = input.float(90.0)
upperBandLow = input.float(80.0)
lowerBandLow = input.float(10.0)
lowerBandHigh = input.float(20.0)
You can adjust:
RSI Length (default 14) → sensitivity of the RSI.
Upper/Lower Bands → control when buy/sell triggers occur.
2. RSI Calculation
rsi = ta.rsi(close, rsiLength)
Calculates the RSI of the closing price over 14 periods.
3. Signal Logic
buySignal = ta.crossover(rsi, lowerBandHigh)
sellSignal = ta.crossunder(rsi, upperBandLow)
Buy Signal: RSI crosses up through 20 → market rebounding from oversold.
Sell Signal: RSI crosses down through 80 → market turning from overbought.
4. Plotting
RSI line (lime green)
Bands:
🔴 80–90 (Sell Zone)
🟢 10–20 (Buy Zone)
Gray midline at 50 for reference.
Triangle markers for signals:
🟢 “BUY” below chart
🔴 “SELL” above chart
5. Trading Logic
if (buySignal)
strategy.entry("Buy", strategy.long)
if (sellSignal)
strategy.entry("Sell",
BTCUSD
strategy.short
XAUUSD
)
Opens a long position on a buy signal.
Opens a short position on a sell signal.
No explicit stop loss or take profit — positions reverse when an opposite signal appears.
🧠 How It Works (Step-by-Step Example)
RSI drops below 20 → oversold → buy signal triggers.
RSI rises toward 80 → overbought → sell signal triggers.
Strategy flips position, always staying in the market (either long or short).
📈 Visual Summary
Imagine the RSI line oscillating between 0 and 100:
100 ────────────────────────────────
90 ───── Upper Band High (Sell Limit)
80 ───── Upper Band Low (Sell Trigger)
50 ───── Midline
20 ───── Lower Band High (Buy Trigger)
10 ───── Lower Band Low (Buy Limit)
0 ────────────────────────────────
When RSI moves above 80 → SELL
When RSI moves below 20 → BUY
⚡ Strategy Profile
Category Description
Type Mean Reversion
Entry Rule RSI crosses up 20 → Buy
Exit/Reverse Rule RSI crosses down 80 → Sell
Strengths Simple, effective in sideways/range markets, minimal lag
Weaknesses Weak in strong trends, no stop-loss or take-profit logic
💡 Suggested Improvements
You can enhance this script by adding:
Stop loss & take profit levels (e.g., % or ATR-based).
Trend filter (e.g., trade only in direction of 200 EMA).
RSI smoothing to reduce noise.
T Minus 4 HoursSupport and Resistance is a large part of price structure. However many complicate it with increasing exotic (and often valueless) derivatives and permutations.
This is very simple, it plots the high and low of the first 4 hours of the day. Think of it as a frame of reference, if the day is mean reversion or neutral (about 70% of the time) price bounces around these levels quite frequently.
If price travels to the bottom of the box, and moves below, and then re-enters the box, hit the buy button. If price travels to the top of the box, and moves above, and then re-enters the box, hit the sell button.
If price travels down to the bottom of the box, and moves below, and then tests the box, if that test fails and price continues down - hit the sell button.
If price travels up to the top of the box, and move above, and then tests the box, if that test fails and price continues up - hit the buy button.
CLEVER V151. What it is
Type: Full strategy, not just a visual indicator.
Name: CLEVER v15.
Overlay: Plots directly on the price chart.
Core idea:
Generate long/short signals from either:
Heikin‑Ashi open/close cross, or
EMA cross on ATR‑based Renko bricks,
then manage trades with ATR‑based multi‑take‑profit / stop‑loss, plus rich dashboards.
2. Entry logic (two modes)
Controlled by setup Type:
OANDA:XAUUSD OANDA:BTCUSD OANDA:EURUSD OANDA:USDCNH TVC:USOIL
Open/Close mode (“Open/Close”)
Uses Heikin‑Ashi candles on a higher timeframe (my_time).
Buy condition BUYOC: Heikin‑Ashi close crosses above open (bullish body flip).
Sell condition SELLOC: Heikin‑Ashi close crosses below open (bearish body flip).
Signals must also pass the RSI/ATR filter (trendType, see section 3).
Renko mode (“Renko”)
Builds Renko bricks (ATR‑based by default).
Computes EMAs on Renko close:
EMA1 (fast, length 2),
EMA2 (slow, length 10).
Buy BUYR: EMA1 crosses over EMA2 on Renko close (bullish).
Sell SELLR: EMA1 crosses under EMA2 on Renko close (bearish).
Again, trades only fire when the RSI/ATR filter allows it.
Both modes create unified booleans:
buy_entry = either BUYOC or BUYR
sel_entry = either SELLOC or SELLR
These then drive all trade/TP/SL logic.
3. RSI & ATR “sideways / trend” filter
Configurable via typefilter (“Sideways Filtering Input”), using:
RSI: 7‑period RSI with:
toplimitrsi (default 45),
botlimitrsi (default 10).
ATR filter:
ATR length 5 on the symbol.
ATR MA (EMA or SMA, length 5).
It defines combinations like:
ATR “high vs MA” → trending vs quiet.
RSI “outside band” vs “inside band” → trending vs sideways.
Options:
Filter by ATR only.
Filter by RSI only.
ATR or RSI.
ATR and RSI.
No filtering.
Only enter in sideways market (by ATR/RSI or by both).
Result is trendType (boolean).
If trendType is false, no trades are allowed.
4. Trade types / management modes
Controlled by TPSType:
ATR mode (“ATR”) – full multi‑TP risk management
Uses ATR(20) to set three take‑profit levels and a stop:
TP1 ≈ 1×(factor×ATR)
TP2 ≈ 2×(factor×ATR)
TP3 ≈ 3×(factor×ATR)
SL roughly symmetric the other way.
On a valid long/short entry:
Opens one position ("Long" or "Short").
Scales out using three strategy.exit orders:
TP1: 50% of position.
TP2: 30%.
TP3: 20%.
Uses a persistent state variable condition to track which TP/SL has been hit.
Draws lines and labels for:
Entry, SL, TP1/TP2/TP3.
Fills between Entry–TP area (profit zone) and Entry–SL area (risk zone).
Fires alerts for:
Long/Short entries, exits.
TP1/2/3 hits.
SL hits.
Trailing mode (“Trailing”) – signal‑to‑signal reversals
On buy:
Closes existing "Short", opens "Long".
On sell:
Closes "Long", opens "Short".
No fixed ATR TP/SL here; exit is mainly via opposite signal.
Options mode (“Options”) – long‑only style
On buy:
Opens "Long"; does not automatically close shorts (those lines are commented out).
On sell:
Closes "Long"; does not open new shorts.
Useful if you only want long trades (e.g., options, long‑only instruments).
Backtesting date range is also restricted by fromDate and toDate.
5. Visual elements on the chart
Bar colors
One layer colors bars by trend (up / down) from Heikin‑Ashi or Renko context.
Another layer colors bars simply by close > open vs close < open.
Renko “ribbon” / cloud (almaRibbon)
When enabled, plots paired series (Renko or HA open/close) as circles and fills between them.
Cloud color switches with brick/candle trend.
EMA Cloud
Higher‑timeframe EMAs:
ema (48),
ema2 (2),
ema3 (21).
Uses either current TF or a higher TF (useHTF).
Plots EMAs and fills between them with different colors for uptrend vs downtrend using i_emaCloudColorUp/Down.
Gives a visual trend cloud around price.
DEMA ATR line (BackQuant module)
Computes a double‑EMA smoothed ATR‑based line (DemaAtr) from either HA close or standard close.
Constrains the line within ATR bands.
Colors green when rising, red when falling.
Optional visibility via showAtr.
Labels
Entry labels: “Long”, “Short”.
Exit labels: “Close”.
TP labels: “TP1”, “TP2”, “TP3”.
SL label: “SL”.
Line‑end labels showing numeric values and target pips for TP3/SL/Entry.
6. Dashboards / performance tables
All in the Dashboards group:
Strategy Performance panel
Shows after backtest completes:
Total trades, win rate.
Start/ending capital.
Average win/loss.
Profit factor.
Max run‑up.
Return % and max drawdown %.
Weekly Performance table
Day‑of‑week breakdown (Sun–Sat).
Per day:
Total trades,
Wins, losses,
Win rate %.
You choose whether to classify trades by open time or close time, and which timezone.
Monthly Performance table (QuantNomad style)
Month‑by‑month and year‑by‑year P&L (%).
Heatmap style table by year (rows) vs months (columns) + yearly column.
7. Alerts
The script fires TradingView alert() events for:
Any entry/exit (combined “Any Alert”).
Long Entry / Short Entry.
Long Exit / Short Exit.
Plus, when using TPSType == "ATR", the strategy.exit orders can each carry separate webhook messages for TP/SL.
Summary
This script is an advanced multi‑timeframe, Renko/Heikin‑Ashi EMA‑cross strategy with:
RSI + ATR‑based market‑state filter,
Three trade‑management modes (ATR multi‑TP, simple reversal, long‑only),
Rich visuals (Renko/EMA clouds, DEMA ATR, TP/SL areas),
And several performance dashboards (overall, weekly, monthly).
AI Kernel Regression StrategyHow to Use This Strategy
Paste the Code: Open the Pine Editor, paste the code, and click "Add to chart".
Look for Reversals:
BUY Signal: The price dipped below the green band (oversold) and snapped back up. The script identifies this as a high-probability bounce.
SELL Signal: The price spiked above the red band (overbought) and snapped back down.
Adjust the "Lookback Window":
In the settings (gear icon), if you change Lookback Window to a higher number (e.g., 15-20), the lines become smoother (better for trends).
If you lower it (e.g., 3-5), it becomes very reactive (better for scalping).
Important Note on "Repainting"
This script uses a technique called Regression. In live trading, it works perfectly (the signal appears when the candle closes). However, be aware that "AI" scripts like this are heavy on calculations. If you refresh your browser, the historical lines might shift slightly to fit the data better. Always wait for the candle to close before taking the trade to ensure the signal is locked in.
Quicksilver Recovery Overlay [Strict]The Quicksilver Recovery Overlay is a proprietary visual analysis tool designed to identify high-probability reversal points in volatile markets. Originally developed for internal use to stabilize Prop Firm drawdowns, this script translates complex algorithmic logic into simple, actionable visual signals on your chart.
🚫 The Problem:
Most traders lose capital trying to "catch a falling knife." They buy too early during a crash and get liquidated before the reversal happens.
✅ The Solution:
This overlay forces discipline. It will only print a "QS BUY" signal when three specific institutional criteria are met simultaneously. If the setup is not perfect, the chart remains clean, keeping you out of bad trades.
The Logic (The "Triple Confluence" Engine):
Deep Exhaustion: The Stochastic RSI must pierce the extreme oversold zone (< 20), indicating seller exhaustion.
Momentum Crossover: The Fast %K line must cross above the Slow %D line, confirming momentum has shifted.
Heikin Ashi Filter: The current Heikin Ashi candle must be GREEN (Bullish). This filters out "fake" reversals where price is still wicking down.
Features:
Visual Signal Labels: Green "QS BUY" and Red "QS SELL" tags appear directly on the bar.
Zero Repaint Logic: Signals are confirmed on candle close.
Status Dashboard: A built-in monitor in the top right corner confirms the algorithm is active.
Recommended Settings:
Assets: ETHUSD, BTCUSD, XAUUSD (Gold).
Timeframes:
1-Minute: For scalping and drawdown recovery.
15-Minute: For swing trading and trend reversals.
How to Get Access:
This is a Protected Script. Access is granted exclusively to members of the Quicksilver Algo Systems ecosystem.
Get your license key here: whop.com
Risk Disclosure: Trading involves substantial risk. Past performance is not indicative of future results.
Inyerneck Quiet Bottom Hunter v36 — Last Sorta-Working VersionQuiet Bottom Hunter v36 — Accurate Description (the sorta-working version that fires signals)
Overview
A mean-reversion bottom-hunting strategy for small-cap stocks (<$2B market cap). Designed to catch slow-bleed stocks that quietly bottom out and rebound 20–60%+. Good for beginners because signals are infrequent and the setup is easy to understand.
Timeframe
Daily (D) — best results on 1-day charts. Works on weekly too, but signals are rarer.
Triggers / Conditions (all must be true at bar close)
Drop from high ≥ 25% from the highest high in the last 100 bars (previous bars only — no repainting)
Volume ≤ 80% of the 50-day average (quiet accumulation, no panic selling left)
RSI(14) ≤ 38 (oversold territory)
Green/flat streak ≥ 2 consecutive days where close ≥ open (shows sellers are exhausted)
When all four line up → tiny green “QB” triangle below the bar
Firing Frequency
1–4 signals per month on an average small-cap stock (depends on market conditions). Some months zero, some months a handful. Not spammy, but not ultra-rare either.
Usage Parameters
Position size: 10% of equity per trade (default — change to 5–20% depending on risk tolerance)
Profit target: 40%
Stop loss: 12%
Hold time: usually 2–8 weeks
Best on low-float, high-volatility small caps (TLRY, SNDL, MVIS, SOUN, INHD, etc.)
Expected Performance (backtested on 2025 small caps)
Win rate: ~80–85%
Average rebound on winners: +30–40%
Some losers when the bottom isn't "quiet" enough
How to use
Add to daily charts of your small-cap watchlist
When “QB” arrow appears, buy at next open or market
Set 40% target / 12% stop or trail it
Wait for the rebound — no day-trading needed
Daily Range SeqDaily Range Seq
Time Window: 04:00 - 10:25 EST
Eval. Window: 10:30 - 15:55 EST
Time Window sets the target for price during the Eval. Window.
If high of time window is created first, then target the high during the Eval. Window.
If low of time window is created first, then target the low during the Eval. Window.
5分钟K线数5-min Bar Counter for Day Trading
5-min Bar Counter for Day Trading
5-min Bar Counter for Day Trading
5-min Bar Counter for Day Trading
Daily High-Low-Open + LabelsSimple PDH/PDL/DO indicator. It is in horizontal line form and it includes labels. So you don't have to place them daily yourself. Updates on its own every single day.
Back to the FutureSupport and Resistance is a large part of price structure. However many complicate it with increasing exotic (and often valueless) derivatives and permutations.
This is very simple, it plots the high and low of yesterday. Think of it as a frame of reference, if the day is mean reversion or neutral (about 70% of the time) price bounces around these levels quite frequently.
If price travels to the bottom of the box, and moves below, and then re-enters the box, hit the buy button. If price travels to the top of the box, and moves above, and then re-enters the box, hit the sell button.
If price travels down to the bottom of the box, and moves below, and then tests the box, if that test fails and price continues down - hit the sell button.
If price travels up to the top of the box, and move above, and then tests the box, if that test fails and price continues up - hit the buy button.






















