AMV HTF LevelsThe HTF Key Levels & Fibonacci Zones indicator is designed for traders who rely on higher timeframe price action to trading. This tool automatically plots essential price levels, including daily, weekly, and monthly open, high, and low levels, alongside the previous day key levels. These levels act as areas for analysis, providing structure to price action and helping traders navigate the market with clarity.
Key Features
🔹 Higher Timeframe Price Levels – Displays daily, weekly, and monthly open, high, and low levels, giving traders a clear reference for major price zones.
🔹 Levels Previous Day – Automatically calculates and plots levels based on the last completed daily range, helping identify potential reaction areas and helps with analysis of price action compared to the previous day
🔹 Customizable Display – Choose between multiple level presets, enable or disable specific HTF levels, and control the visual representation of price zones.
🔹 Dynamic Zone Filling – Highlights key areas with color-coded fills, making it easy to see whether price is trading above or below critical open levels.
🔹 Live vs. Historical Mode – Adjusts levels in real-time on the latest candle while keeping historical reference points intact for better trade planning.
Why Use This Indicator?
Precision Trading – Gain an edge with clearly defined HTF levels.
Stronger Confluence – Combine HTF opens with levels for a better understanding of market context
Trend Confirmation – Use HTF open levels to determine market bias and refine strategy
Adaptability – Whether you trade intraday, swing, or position strategies, this indicator keeps you aligned with the broader market structure on the daily
Indikatoren und Strategien
Whale Activity Indicator (WAI)The Whale Activity Indicator (WAI) is a volume-based trading tool designed to detect large institutional trades and dark pool activities. It helps traders identify potential buying and selling pressure from major market participants by analyzing volume spikes, On-Balance Volume (OBV), and the Money Flow Index (MFI).
Key Features:
✔ Detects institutional and dark pool trades based on volume thresholds.
✔ Identifies volume spikes to highlight unusual trading activity.
✔ Uses OBV and MFI trends to confirm buying or selling pressure.
✔ Generates Buy & Sell signals with visual markers on the chart.
How It Works:
Volume Analysis: Determines whether a trade exceeds institutional or dark pool volume levels.
Volume Spike Detection: Compares the current volume against a moving average to spot unusual surges.
OBV & MFI Confirmation: Analyzes trends in OBV and MFI to validate whether the money flow supports a buy or sell signal.
Interpreting Signals:
🟢 Whale Buy (Green Arrow & Background) → Institutional buying detected.
🔴 Whale Sell (Red Arrow & Background) → Institutional selling detected.
The WAI helps traders spot accumulation and distribution phases and potential market reversals driven by large investors.
👉 Best used with other technical indicators to confirm trends and improve accuracy.
Trend-Based Major Swing Profit StrategySuited for Smart Money Controlled Markets, Particularly Central SOEs and Government-Owned Corporations in Chinese A-Shares.
Strategy Advantages
Trend Confirmation
The dual confirmation system (Yellow-Blue Ladder + Smart Money Flow) reduces false signals.
Adaptive Position Sizing
Graduated position reduction allows for capitalizing on trend continuation while managing risk.
Institutional Insight
The Smart Money component attempts to track market participation from larger, more sophisticated players.
Market Condition Awareness
Volatility and trend strength filters help avoid choppy, directionless markets.
example:300002-1d
Smart Money Following StrategyLarge-Cap Low-Volatility
example:000066-1h
Entry Conditions
A buy signal is generated when ALL of the following conditions are met:
Yellow-Blue Ladder shows an entry signal (Fast lower line > Slow lower line)
Institutional Money (MM_RSI) exceeds threshold (>5)
Market volatility is sufficient (ATR% > 3%)
Trend strength is adequate (ADX > 25)
Exit Conditions
Positions are closed when EITHER:
Yellow-Blue Ladder shows an exit signal (Fast upper line < Slow upper line)
Retail Money rises above threshold (>5), indicating excessive retail participation
Liquidity Imbalance Index (Li2)How to Use the Liquidity Imbalance Index (Li2)
The Liquidity Imbalance Index (Li2) is designed to track market liquidity and identify significant imbalances between buyers and sellers. Here's how to effectively use this indicator in your trading:
Understanding the Main Components
1. Liquidity Delta Histogram/Line:
- Shows the difference between buy and sell liquidity
- Green bars/line: Buying pressure dominates
- Red bars/line: Selling pressure dominates
- The intensity of color shows the strength of the imbalance
2. Threshold Lines:
- Upper (green) threshold: Marks significant buy pressure
- Lower (red) threshold: Marks significant sell pressure
- Neutral zone: Area between the dotted lines where neither buyers nor sellers dominate
3. Liquidity Zones (circles shown on top/bottom):
- Green circles on upper threshold: Historical bull zones (significant buying interest)
- Red circles on lower threshold: Historical bear zones (significant selling interest)
- These zones require multiple hits, consecutive signals, and optionally volume confirmation
Trading Strategies
For Trend Trading
1. Look for when the Liquidity Delta crosses above the upper threshold for bullish signals
2. Look for when the Liquidity Delta crosses below the lower threshold for bearish signals
3. Especially powerful when crossing occurs with acceleration (darker histogram colors)
For Support and Resistance
1. Identify where the significant bull/bear zones appear (green/red circles)
2. These often align with important price levels where orders cluster
3. Use these zones as potential reversal or confirmation points
For Divergence
1. Watch for price making new highs/lows while liquidity shows the opposite
2. Divergence between price and liquidity can signal potential reversals
Volume Confirmation
1. Pay attention to volume-confirmed signals (small circles at zero line)
2. These indicate stronger conviction behind the liquidity imbalance
Optimal Settings
- For day trading or volatile markets, consider reducing lookback periods and increasing thresholds
- For swing trading, the default settings work well to capture significant zones
- In ranging markets, focus on the zones as they often mark the range boundaries
- In trending markets, follow the overall direction of the liquidity delta
Reading Acceleration Signals
The indicator shows color intensity variations to highlight acceleration in liquidity flows:
- Dark green/red: Strong acceleration (rapid shift in order flow)
- Medium green/red: Medium acceleration
- Light green/red: Weak acceleration
These acceleration signals often precede significant price movements.
LIN-REG-3CH// This source code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// © FIN
//@version=5
indicator('LIN-REG-3CH', overlay=true, shorttitle='LIN-REG-3CH',max_bars_back = 5000)
ShowLR1 = input(true, title='Kısa Vadeli Kanalı Göster?')
min1 = input.int(55, minval=4, title='Kısa Vadeli Kanal Min. Periyodu')
max1 = input(89, title='Kısa Vadeli Kanal Max. Periyodu')
mult1 = input.int(2, minval=1, title='Kısa Vadeli Kanal Standart Sapması')
ShowLR2 = input(true, title='Uzun Vadeli Kanalı Göster?')
min2 = input.int(144, minval=50, title='Uzun Vadeli Kanal Min. Periyodu')
max2 = input(233, title='Uzun Vadeli Kanal Max. Periyodu')
mult2 = input.int(2, minval=1, title='Uzun Vadeli Kanal Standart Sapması')
ShowLR3 = input(true, title='En Kısa Vadeli Kanalı Göster?')
min3 = input.int(21, minval=5, title='En Kısa Vadeli Kanal Min. Periyodu')
max3 = input(34, title='En Kısa Vadeli Kanal Max. Periyodu')
mult3 = input.int(2, minval=1, title='En Kısa Vadeli Kanal Standart Sapması')
Kaynak = input(close)
//------------------------------------------------------------------------------
cmla = ta.cum(Kaynak)
cmlb = ta.cum(cmla )
cmlc = ta.cum(Kaynak * Kaynak)
//------------------------------------------------------------------------------
r(p) =>
sum = cmlb - cmlb
a = p * cmla - sum
b = cmla - cmla
c = cmlc - cmlc
//----
num = (a - b * (p + 1) / 2) / p
vary = c / p - math.pow(b / p, 2)
varx = (p * p - 1) / 12
math.pow(num / math.sqrt(vary * varx), 2)
//------------------------------------------------------------------------------
k = 0.
p = 0
for i = min1 to max1 by 1
c = r(i)
k := math.max(c, k)
p := k == c ? i : p
p
//------------------------------------------------------------------------------
den = p * (p + 1) / 2
wma = (p * cmla - (cmlb - cmlb )) / den
sma = (cmla - cmla ) / p
A = 4 * sma - 3 * wma
B = 3 * wma - 2 * sma
//------------------------------------------------------------------------------
Var = (cmlc - cmlc ) / p - math.pow((cmla - cmla ) / p, 2)
rmse = math.sqrt(Var - r(p) * Var) * mult1
//----
n = bar_index
var line ln = na
var line up = na
var line dn = na
var label la = na
transparent = color.new(color.white, 100)
if n > min1 and ShowLR1
ln := line.new(n + 1, A, n, B, extend=extend.none, color=color.red, width=1)
up := line.new(n + 1, A + rmse, n, B + rmse, extend=extend.right, color=color.blue, width=2)
dn := line.new(n + 1, A - rmse, n, B - rmse, extend=extend.right, color=color.blue, width=2)
la := label.new(n + 1, A - rmse, str.tostring(p), color=transparent, style=label.style_label_up, textcolor=#2157f3)
la
line.delete(ln )
line.delete(up )
line.delete(dn )
label.delete(la )
cmld = ta.cum(Kaynak)
cmle = ta.cum(cmld )
cmlf = ta.cum(Kaynak * Kaynak)
//------------------------------------------------------------------------------
r1(p1) =>
sum1 = cmle - cmle
d = p1 * cmld - sum1
e = cmld - cmld
f = cmlf - cmlf
//----
num1 = (d - e * (p1 + 1) / 2) / p1
vary1 = f / p1 - math.pow(e / p1, 2)
varx1 = (p1 * p1 - 1) / 12
math.pow(num1 / math.sqrt(vary1 * varx1), 2)
//------------------------------------------------------------------------------
k1 = 0.
p1 = 0
for i1 = min2 to max2 by 1
c1 = r1(i1)
k1 := math.max(c1, k1)
p1 := k1 == c1 ? i1 : p1
p1
//------------------------------------------------------------------------------
den1 = p1 * (p1 + 1) / 2
wma1 = (p1 * cmld - (cmle - cmle )) / den1
sma1 = (cmld - cmld ) / p1
A1 = 4 * sma1 - 3 * wma1
B1 = 3 * wma1 - 2 * sma1
//------------------------------------------------------------------------------
Var1 = (cmlf - cmlf ) / p1 - math.pow((cmld - cmld ) / p1, 2)
rmse1 = math.sqrt(Var1 - r1(p1) * Var1) * mult2
//----2
n1 = bar_index
var line ln1 = na
var line up1 = na
var line dn1 = na
var label la1 = na
// transparent = color.new(color.white, 100)
if n1 > min2 and ShowLR2
// ln1 := line.new(n1 +1,A1,n1,B1,extend=extend.right,
// color=color.orange,width=1)
up1 := line.new(n1 + 1, A1 + rmse1, n1, B1 + rmse1, extend=extend.right, color=color.gray, width=3)
dn1 := line.new(n1 + 1, A1 - rmse1, n1, B1 - rmse1, extend=extend.right, color=color.gray, width=3)
la1 := label.new(n1 + 1, A1 - rmse1, str.tostring(p1), color=transparent, style=label.style_label_up, textcolor=#2157f3)
la1
line.delete(ln1 )
line.delete(up1 )
line.delete(dn1 )
label.delete(la1 )
////
cmlg = ta.cum(Kaynak)
cmlh = ta.cum(cmld )
cmlj = ta.cum(Kaynak * Kaynak)
//------------------------------------------------------------------------------
r2(p2) =>
sum2 = cmlh - cmlh
g = p2 * cmlg - sum2
h = cmlg - cmlg
j = cmlj - cmlj
//----
num2 = (g - h * (p2 + 1) / 2) / p2
vary2 = j / p2 - math.pow(h / p2, 2)
varx3 = (p2 * p2 - 1) / 12
math.pow(num2 / math.sqrt(vary2 * varx3), 2)
//------------------------------------------------------------------------------
k2 = 0.
p2 = 0
for i2 = min3 to max3 by 1
c2 = r2(i2)
k2 := math.max(c2, k2)
p2 := k2 == c2 ? i2 : p2
p2
//------------------------------------------------------------------------------
den2 = p2 * (p2 + 1) / 2
wma2 = (p2 * cmlg - (cmlh - cmlh )) / den2
sma2 = (cmlg - cmlg ) / p2
A2 = 4 * sma2 - 3 * wma2
B2 = 3 * wma2 - 2 * sma2
//------------------------------------------------------------------------------
Var2 = (cmlj - cmlj ) / p2 - math.pow((cmlg - cmlg ) / p2, 2)
rmse2 = math.sqrt(Var2 - r2(p2) * Var2) * mult3
//----2
n2 = bar_index
var line ln2 = na
var line up2 = na
var line dn2 = na
var label la2 = na
// transparent = color.new(color.white, 100)
if n2 > min3 and ShowLR3
ln1 := line.new(n1 +1,A1,n1,B1,extend=extend.right,
color=color.rgb(255, 233, 201),width=1)
up2 := line.new(n2 + 1, A2 + rmse2, n2, B2 + rmse2, extend=extend.right, color=color.gray, width=3)
dn2 := line.new(n2 + 1, A2 - rmse2, n2, B2 - rmse2, extend=extend.right, color=color.gray, width=3)
la2 := label.new(n2 + 1, A2 - rmse2, str.tostring(p2), color=transparent, style=label.style_label_up, textcolor=#2157f3)
la2
line.delete(ln2 )
line.delete(up2 )
line.delete(dn2 )
label.delete(la2 )
JTP MC2 SystemThe MC2 System is a multi-condition trading indicator designed to analyse market trends
Available at: whop.com/jtptrades
Gold Scalping Strategy (5min EMA, RSI, MACD, VPVR)//@version=5
indicator("Gold Scalping Strategy (5min EMA, RSI, MACD, VPVR)", overlay=true)
// 🔹 1. EMA 50 & EMA 200 sur un timeframe supérieur (15 min)
ema50 = ta.ema(request.security(syminfo.tickerid, "15", close), 50)
ema200 = ta.ema(request.security(syminfo.tickerid, "15", close), 200)
// Détection des croisements (Golden Cross & Death Cross)
goldenCross = ta.crossover(ema50, ema200)
deathCross = ta.crossunder(ema50, ema200)
plot(ema50, title="EMA 50 (15m)", color=color.blue, linewidth=2)
plot(ema200, title="EMA 200 (15m)", color=color.red, linewidth=2)
// 🔹 2. RSI (Relative Strength Index) sur 5 min
rsi = ta.rsi(close, 14)
rsiOverbought = 70
rsiOversold = 30
hline(rsiOverbought, "Surachat (70)", color=color.red)
hline(rsiOversold, "Survente (30)", color=color.green)
// Détection des signaux RSI
rsiBuySignal = ta.crossover(rsi, rsiOversold)
rsiSellSignal = ta.crossunder(rsi, rsiOverbought)
// 🔹 3. MACD (12,26,9) sur 5 min
= ta.macd(close, 12, 26, 9)
macdBuy = ta.crossover(macdLine, signalLine)
macdSell = ta.crossunder(macdLine, signalLine)
plot(macdLine, title="MACD Line", color=color.blue)
plot(signalLine, title="Signal Line", color=color.red)
// 🔹 4. Volume Profile basé sur 1H pour détecter les zones clés
vp = request.security(syminfo.tickerid, "60", ta.highest(close, 50))
plot(vp, title="Zone de volume", color=color.gray, style=plot.style_circles)
// ✅ Alertes automatiques adaptées au 5 min
alertcondition(goldenCross, title="Golden Cross (Achat)", message="EMA 50 a croisé EMA 200 à la hausse!")
alertcondition(deathCross, title="Death Cross (Vente)", message="EMA 50 a croisé EMA 200 à la baisse!")
alertcondition(rsiBuySignal, title="RSI Achat", message="RSI est en zone de survente (<30)!")
alertcondition(rsiSellSignal, title="RSI Vente", message="RSI est en zone de surachat (>70)!")
alertcondition(macdBuy, title="MACD Achat", message="MACD croise au-dessus du signal!")
alertcondition(macdSell, title="MACD Vente", message="MACD croise en dessous du signal!")
// Affichage des signaux sur le graphique
bgcolor(goldenCross ? color.green : na, transp=80)
bgcolor(deathCross ? color.red : na, transp=80)
JTP VPV SignalThe VPV Oscillator is designed to identify significant trading opportunities by analysing periods of market consolidation followed by significant volume spikes. Aimed to help traders anticipate potential break outs and impulse
Available at: whop.com/jtptrades
ARENA-HUB-Edu-Script-RSI-EMA-SMA-ATRThe script was created as an educational tool to help recognize trends, identify entry points, use two RSI indicators together with moving averages, and understand when we are dealing with reversal points.
The script utilizes two RSI indicators on different timeframes for identification. To support this, it incorporates the relationship between three SMAs and three EMAs, while the Supertrend serves as a visual aid for educational purposes.
If you have any questions, feel free to message me.
JTP Liquidation ZonesJTP Liquidation Zones is an advanced indicator designed to visualise potential liquidation areas based on volatility and volume oscillations.
Available at: whop.com/jtptrades
JTP Funding Rate MonitorThe Funding Rate Monitor (FRM) tracks funding rate extremes and plots a line to highlight when the rate is high or low, signalling potential price reversals. It helps traders spot market imbalances, offering key insights for timing trades.
Available at whop.com/jtptrades
52-Week Low Bounce (With Premarket)Dip buy stocks hitting 52 week lows looking to take 10% off the bounce or cut the loss if the stock drops lower.
SaravanasMoving Average Testing The moving average crossover is a strategy that makes use of two or more moving averages to identify trading opportunities, trends, and trend reversals. The strategy involves taking two moving averages of different periods and identifying buy or sell signals when one moving average crosses over another.
JTP Signal [Degen]The JTP Signal provides bullish or bearish signals when specific conditions are met. Derived from the JTP Signal indicator, this version eliminates one of the filtering conditions resulting in extremely frequent signals. While these signals aren't actionable on their own, they can be used as entry triggers and invalidations points when combined with technical analysis.
Available at: whop.com/jtptrades
JTP Market Maker BandsThe JTP Market Maker Bands are a powerful tool designed to help traders identify mean reversal opportunities, pinpoint key support and resistance levels, and recognise strong trends.
The indicator features three algorithm presets inspired by common High-Frequency Trading algorithms used by market makers to execute trades.
Obsidian by Synapsed Infotech Pvt LtdObsidian is an institutional-grade trading tool designed to help traders analyze market structure and liquidity. It automatically detects key Smart Money Concepts (SMC), including Order Blocks, Break of Structure (BOS), Change of Character (CHoCH), and Fair Value Gaps (FVGs).
How It Works:
Order Blocks (OBs): Highlights areas where institutional buying or selling has occurred, signaling potential zones of interest.
Break of Structure (BOS) & CHoCH: Identifies key structural shifts in market trends. BOS confirms trend continuation, while CHoCH signals possible reversals.
Fair Value Gaps (FVGs): Displays price inefficiencies that institutions may fill before continuing price movements.
Liquidity Zones & Stop Hunts: Helps traders recognize price areas where liquidity is likely to be grabbed before major moves.
EMA 200 Crossover StrategyIt is a very simple strategy that takes trades when 3 candles close above 200 days EMA. EMA length and time frame are adjustable, as well as TP and SL. Was tested on SOLUSDT 1 minute chart.
$$ Swing Alert Indicator
Swing Alert on its on will Plot all the potential top and bottom.
Alongside with the "$$ BTC, BNB, ETH & SOL ONLY" strategy , you will receive a double confirmation!!
Introducing the $$ Swing Alert Indicator!
This indicator helps identify key swing highs and lows, providing clear BUY and SHORT signals based on market structure. It’s designed for traders looking for precise swing-based opportunities.
For even stronger trade confirmations, use this indicator alongside the "$$ BTC, BNB, ETH & SOL ONLY" strategy ( ). When combined, you get double confirmation, increasing the probability of catching high-quality trade entries.
Enhance your trading strategy with clearer signals and better risk management! 🚀
One Candle Trade 🕯️The One Candle Trade 🕯️ is a trend-confirmation indicator designed to identify the earliest possible moment when a trend becomes strong and real. It combines multiple technical tools, including RSI, Stochastic, ADX, and SuperTrend , to deliver high-confidence trend signals while filtering out weak or false movements.
Key Features:
✅ Early Trend Confirmation: The indicator detects when a trend is not just forming but gaining strength, allowing for precise entries.
✅ EMA 200 as Stop-Loss Reference: It helps traders position their stop-loss on the EMA 200, providing a solid risk management framework.
✅ Color-Coded Risk Levels:
- Green/Red Signals → Strong and stable trend conditions.
- Yellow Signals → The trend is powerful but unstable, indicating higher risk.
✅ Recommended Heikin Ashi Candles: Using Heikin Ashi is advised to smooth out market noise and better visualize trend strength.
This tool is particularly useful for traders looking to catch strong trends at the earliest stage while maintaining a structured risk approach. 🚀
VIDYA with Customizable Table RowsVolumatic VIDYA Enhanced
The Volumatic VIDYA (Variable Index Dynamic Average) indicator, originally created by BigBeluga, is a powerful trend-following tool that combines price and volume analysis to provide traders with a comprehensive view of market dynamics. This enhanced version, designed with user-friendliness in mind, builds upon the original by adding new features and customization options, making it even more versatile and easy to use.
Original Features (by BigBeluga)
VIDYA Core: This technique utilizes the Variable Index Dynamic Average (VIDYA) as the core smoothing technique to identify trends and filter market noise.
Volume Analysis: Plots volume levels at key market structure pivot points (lows and highs), helping traders understand the relationship between price and volume.
Delta Volume: Calculates and displays delta volume values to evaluate the balance between buy and sell pressure during each trend phase.
Trend Visualization: Clearly visualizes uptrends and downtrends with color-coded indicators, making it easy to identify market sentiment shifts.
Enhancements in This Version
1. Directional Movement Index (DMI) Integration:
Added +DI, -DI, and ADX metrics to assess trend strength and direction.
Includes a DMI Trend indicator to show whether the market is in an uptrend, downtrend, or neutral phase.
2. Volume SMAs with Color Coding:
Added Volume SMAs (9, 20, 51, 200) to analyze volume trends over different timeframes.
Color-coded SMAs (green for uptrend, red for downtrend, gray for neutral) provide quick visual cues.
3. Customizable Table:
Users can now enable or disable individual rows in the table to display only the metrics they care about.
Includes options for Buy Volume, Sell Volume, Delta Volume, Relative Volume, Volume SMAs, Trend Status, Signal, DMI Metrics, and more.
4. Improved Usability:
Added user-friendly input options for customizing the indicator's behavior and appearance.
Enhanced table layout for better readability and organization.
Why Use This Indicator?
Comprehensive Analysis: Combines price, volume, and trend strength metrics into a single tool.
Customizable: Tailor the indicator to your trading style by enabling or disabling specific features.
Visual Clarity: Color-coded trends and volume levels make it easy to interpret market conditions at a glance.
Market Sentiment: Delta volume and DMI metrics provide insights into buy-sell pressure and trend strength.
**Credits**
Original Creator: BigBeluga (for the Volumatic VIDYA indicator).
Enhancements: (for adding DMI integration, Volume SMAs, and customizable table options).
This enhanced version of the Volumatic VIDYA indicator is designed to help traders make more informed decisions by providing a deeper understanding of price, volume, and trend dynamics. Whether you're a beginner or an experienced trader, this tool offers valuable insights to improve your trading strategy.
