VSH Volumetric Orders & Price HeatmapsIndicator Purpose
Volume Profile Analysis:
1.High Traded Nodes: Displays high trading volume at specific price levels, typically representing the market's consolidation zones or value areas. These areas may be key points where the price tends to linger or reverse.
2.Average Traded Nodes: Shows average levels of trading volume, helping to identify regular trading activities within this price range.
3.Low Traded Nodes: Indicates low trading volume at specific price levels, usually corresponding to supply and demand zones or liquidity areas. These areas may become important points for future price breakouts or retracements.
Sentiment Profile Analysis:
1.Bullish Nodes: Displays price levels with stronger buying activity or money flow, indicating that buyer strength is higher at these levels, which may drive prices upward.
2.Bearish Nodes: Displays price levels with stronger selling activity or money flow, indicating that seller strength is higher at these levels, which may lead to price declines.
Heatmap Display:
1.Heatmap Generated from Volume or Sentiment Data: Helps quickly identify the market's activity level and sentiment inclination at different price levels.
Additional Features:
1.Consolidation Zones: Identifies and displays areas where prices are consolidating, helping to determine whether the market is in a ranging phase.
2.Profile Price Levels: Marks price levels with the highest trading volume or significant changes in sentiment, aiding in decision-making.
Meaning of Different Colors
Volume Distribution Section:
1.High Traded Nodes:
Default Color: Yellow (#ffeb3b)
Meaning: Indicates very high trading volume at these price levels, typically areas of market focus.
2.Average Traded Nodes:
Default Color: Blue (#2962ff)
Meaning: Indicates that trading volume at these price levels is at an average level, representing regular trading activity zones.
3.Low Traded Nodes:
Default Color: Red (#f23645)
Meaning: Indicates lower trading volume at these price levels, potentially representing supply and demand or liquidity zones.
Sentiment Analysis Section:
1.Bullish Nodes:
Default Color: Teal (#26a69a)
Meaning: Indicates stronger buyer strength at these price levels, reflecting a bullish market sentiment.
2.Bearish Nodes:
Default Color: Red (#ef5350)
Meaning: Indicates stronger seller strength at these price levels, reflecting a bearish market sentiment.
Other Colors:
1.Consolidation Zones:
Default Color: Semi-transparent Blue (#2962ff, 73% opacity)
Meaning: Marks areas where prices are consolidating, helping to identify if the market is in a ranging state.
2.Heatmap Colors:
Based on Volume or Sentiment Data: The depth and hue of the colors vary according to the set transparency and options, typically used to emphasize the level of activity and sentiment inclination at different price levels.
Usage Scenarios
1.Identifying Key Price Levels: By using high traded nodes and sentiment nodes, traders can identify potential support and resistance levels.
2.Assessing Market Sentiment: Bullish and bearish sentiment nodes help traders understand the dominant market sentiment, assisting in making buy or sell decisions.
3.Monitoring Consolidation Zones: Identifying consolidation zones can help traders determine whether the market is waiting for a breakout and the potential direction of that breakout.
4.Optimizing Entry and Exit Points: Combining volume distribution and sentiment analysis allows traders to more accurately select optimal times for entering and exiting trades.
指标用途
交易量分布分析（Volume Profile）：
1.高交易量节点（High Traded Nodes）：显示在特定价位上的高交易量，通常代表市场的整合区或价值区域。这些区域可能是价格在此徘徊或反转的关键点。
2.平均交易量节点（Average Traded Nodes）：展示平均水平的交易量，帮助识别价格在此区域的常规交易活动。
3.低交易量节点（Low Traded Nodes）：表示在特定价位上的低交易量，通常对应供需区或流动性区域，这些区域可能成为未来价格突破或回调的重要点。
情绪分析（Sentiment Profile）：
1.多头情绪节点（Bullish Nodes）：显示买方交易活动或资金流动较强的价位，表明在这些价位上买方力量较强，可能推动价格上涨。
2.空头情绪节点（Bearish Nodes）：显示卖方交易活动或资金流动较强的价位，表明在这些价位上卖方力量较强，可能导致价格下跌。
热图显示（Heatmap）：
1.根据交易量或情绪数据生成的热图，帮助快速识别不同价位上的市场活跃程度和情绪倾向。
额外功能：
1.整合区（Consolidation Zones）：识别并显示价格整合的区域，帮助判断市场是否处于震荡阶段。
2.显著价格水平（Profile Price Levels）：标注最高交易量或情绪变化显著的价格水平，辅助决策。
不同颜色的含义
1.交易量分布部分：
高交易量节点（High Traded Nodes）：
默认颜色：黄色（#ffeb3b）
含义：表示在这些价位上的交易量非常高，通常是市场关注的焦点区域。
2.平均交易量节点（Average Traded Nodes）：
默认颜色：蓝色（#2962ff）
含义：表示这些价位上的交易量处于平均水平，是常规交易活动的区域。
3.低交易量节点（Low Traded Nodes）：
默认颜色：红色（#f23645）
含义：表示在这些价位上的交易量较低，可能是潜在的供需或流动性区域。
情绪分析部分：
1.多头情绪节点（Bullish Nodes）：
默认颜色：青绿色（#26a69a）
含义：表示在这些价位上买方力量较强，市场情绪偏多。
2.空头情绪节点（Bearish Nodes）：
默认颜色：红色（#ef5350）
含义：表示在这些价位上卖方力量较强，市场情绪偏空。
其他颜色：
1.整合区（Consolidation Zones）：
默认颜色：半透明蓝色（#2962ff，透明度73）
含义：标识价格整合的区域，帮助识别市场是否处于震荡状态。
2.热图颜色：
基于交易量或情绪数据，颜色的深浅和色调会根据设置的透明度和选项变化，通常用于强调不同价位的活跃程度和情绪倾向。
使用场景
1.识别关键价位：通过高交易量节点和情绪节点，交易者可以识别出潜在的支撑位和阻力位。
2.判断市场情绪：多头和空头情绪节点帮助交易者了解当前市场的主导情绪，辅助决策买入或卖出。
3.监测整合区：整合区的识别可以帮助交易者判断市场是否在等待突破，以及潜在的突破方向。
4.优化入场和出场点：结合交易量分布和情绪分析，交易者可以更精准地选择入场和出场的时机。
Графические паттерны
BOS with Order Flow, EMA Trend Filter, and High Win Ratecreated hans hoolash to improve on HTF used chat gpt
Ahtep 11
Here’s a brief description for your indicator:
Custom FCPO Indicator with Buy/Sell Signals
This custom indicator combines multiple technical analysis tools to generate buy and sell signals for FCPO trading. It uses two exponential moving averages (EMA) to identify market trends, Stochastic RSI for momentum analysis, and volume thresholds to filter signals. When the short EMA crosses above the long EMA with oversold conditions on the Stochastic RSI and high volume, a buy signal is triggered. Conversely, a sell signal is generated when the short EMA crosses below the long EMA with overbought conditions on the Stochastic RSI and high volume. The indicator also provides entry, stop loss, and target levels based on the market conditions.
Feel free to modify or expand this description based on your needs! Let me know if you'd like to make any adjustments.
Supertrend with EMA - AjaySupertrend with EMA shows strength in Trend.
50 EMA is good for trend. and Supertrend with ATR give better stoploss.
Triple Confluence Strategy-nishant200 EMA: A yellow line showing the 200-period Exponential Moving Average.
VWAP: A blue line showing the Volume Weighted Average Price.
Pivot Points: A purple line for the pivot point, red lines for support levels, and green lines for resistance levels.
Buy/Sell Markers: Green labels below the bars for Buy signals and Red labels above the bars for Sell signals.
Confluence Zone Highlights: Background color changes to green for Buy and red for Sell signals.
3 Moving AverageThe 3 Moving Averages Indicator (SMA) script, provided by Money Ocean, is a dynamic tool designed for Trading View charts. It features three Simple Moving Averages (SMAs) with predefined periods: SMA-9, SMA-33, and SMA-66, all based on closing prices. This configuration delivers a clear visualization of short-term, medium-term, and long-term market trends. By analyzing the crossovers and alignment of these SMAs, traders can identify trend reversals, confirm market direction, and optimize entry and exit points. Tailored for traders seeking precision and clarity, this indicator is ideal for improving decision-making in trending markets.
The 3 Moving Averages Indicator (SMA) script on Trading View uses three Simple Moving Averages (SMAs) with preset periods of 9, 33, and 66, all calculated using the closing prices. This setup offers a balanced view of short-term, medium-term, and long-term market trends. The SMA-9 captures recent price action, SMA-33 provides an intermediate perspective, and SMA-66 smooths out long-term trends. By analyzing the alignment and crossovers of these SMAs, traders can identify potential trend reversals, confirm market direction, and spot trading opportunities with greater precision. It's an effective tool for trend-followers and swing traders.
My scriptsophisticated algorithms together is quite a challenge, but I'll provide a high-level overview. Combining Volume-Weighted Average Price (VWAP), Time-Weighted Average Price (TWAP), Implementation Shortfall (IS), Percentage of Volume (POV), Liquidity-Seeking algorithms, and High-Frequency Trading
WPR45789This indicator helps in identifying trend to catch moves in intraday and gains decent moves in stocks and index as well as futures and options
This indicator helps in identifying trend to catch moves in intraday and gains decent moves in stocks and index as well as futures and options
ZelosKapital Market BehaviourThe ZelosKapital Market Behaviour Indicator is a powerful tool designed to visually highlight market structure periods directly on your trading chart. This indicator identifies and labels the four key price action phases: Higher Highs (HH), Higher Lows (HL), Lower Highs (LH), and Lower Lows (LL). Understanding these phases is critical for traders aiming to follow the trend or anticipate potential reversals.
Wick sizeShow the average wick size of the last 10 bar for analysis purposes.
Makes it easier to recognise possible turning points.
Monthly EMA 5 Buy Signal Swing Medium Term Investment StrategyTrading Strategy Description
This strategy is designed to generate buy signals based on the behavior of monthly candles in relation to the 5-period Exponential Moving Average (EMA). The conditions for generating a buy signal are as follows:
Monthly Candle Below 5 EMA: The previous monthly candle must not touch the 5 EMA and must be entirely below it. This means the highest point of the candle (the high) is below the 5 EMA.
Next Monthly Candle Closes Above Previous Candle’s High: The current monthly candle must close above the high of the previous monthly candle.
How to Use the Strategy
Add the Script to TradingView: Copy the provided Pine Script code and add it to a new indicator in TradingView.
Understand the Plot:
The 5 EMA is plotted on the chart in blue.
Buy signals are indicated by green labels below the bars with the text “BUY”.
Identify Buy Signals:
Look for green “BUY” labels on the chart. These labels indicate that the conditions for a buy signal have been met.
When you see a “BUY” label, it means the previous monthly candle was below the 5 EMA and the current monthly candle has closed above the previous candle’s high.
Example Scenario
Month 1: The monthly candle does not touch the 5 EMA and is entirely below it.
Month 2: The monthly candle closes above the high of Month 1’s candle.
Buy Signal: A green “BUY” label will appear below the Month 2 candle, indicating a buy signal.
Taking the Trade
When a buy signal is generated:
Enter the Trade: Consider entering a long position at the close of the monthly candle that generated the buy signal.
Risk Management: Set your stop-loss and take-profit levels according to your risk management strategy. You might place a stop-loss below the low of the signal candle or use other technical analysis tools to determine your exit points.
This strategy helps you identify potential bullish reversals or continuation patterns based on the relationship between the monthly candles and the 5 EMA. Always backtest and paper trade any strategy before using it with real money to ensure it fits your trading style and risk tolerance.
MW:TA Days of the WeekENG: Vertical separators to easily detect days of the week and see which past liquidity was taken down. Screenshot example contains days of the week indicator and manually drawn lines of grabbed liquidity. Useful for trades based on liquidity grab and reaction.
Tested on Forex, Crypto, Indexes, Stocks, Commodities markets.
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РУС: Вертикальные разделители для визуального определения дней недели и просмотра снятой ликвидности на графике. На скриншоте отмечен индикатор разделительных периодов (дней) и вручную нарисованные линии, которые отмечают снятую ликвидность и реакцию цены на снятие. Полезно для тех трейдеров, которые торгуют по реакции на снятую ликвидность.
Протестировано на рынках Форекс, Крипто, ИНдексов, Акций и Сырья.
Gold Analysis and Scalping TradesIn this section, we opened three trades by analyzing waves and structures on the chart.
Gold could repeat this type of movement tomorrow as well, so be prepared.
Stochastic and RSI Vini//@version=6
indicator(title="Stochastic and RSI", shorttitle="Stoch RSI", format=format.price, precision=2, timeframe="", timeframe_gaps=true)
// --- Estocástico ---
periodK = input.int(14, title="%K Length", minval=1)
smoothK = input.int(1, title="%K Smoothing", minval=1)
periodD = input.int(3, title="%D Smoothing", minval=1)
k = ta.sma(ta.stoch(close, high, low, periodK), smoothK)
d = ta.sma(k, periodD)
plot(k, title="%K", color=#2962FF)
plot(d, title="%D", color=#FF6D00)
h0 = hline(80, "Upper Band", color=#787B86)
hline(50, "Middle Band", color=color.new(#787B86, 50))
h1 = hline(20, "Lower Band", color=#787B86)
fill(h0, h1, color=color.rgb(33, 150, 243, 90), title="Background")
// --- RSI ---
rsiLengthInput = input.int(14, minval=1, title="RSI Length", group="RSI Settings")
rsiSourceInput = input.source(close, "Source", group="RSI Settings")
calculateDivergence = input.bool(false, title="Calculate Divergence", group="RSI Settings", display = display.data_window, tooltip = "Calculating divergences is needed in order for divergence alerts to fire.")
change = ta.change(rsiSourceInput)
up = ta.rma(math.max(change, 0), rsiLengthInput)
down = ta.rma(-math.min(change, 0), rsiLengthInput)
rsi = down == 0 ? 100 : up == 0 ? 0 : 100 - (100 / (1 + up / down))
rsiPlot = plot(rsi, "RSI", color=#7E57C2)
rsiUpperBand = hline(70, "RSI Upper Band", color=#787B86)
midline = hline(50, "RSI Middle Band", color=color.new(#787B86, 50))
rsiLowerBand = hline(30, "RSI Lower Band", color=#787B86)
fill(rsiUpperBand, rsiLowerBand, color=color.rgb(126, 87, 194, 90), title="RSI Background Fill")
midLinePlot = plot(50, color = na, editable = false, display = display.none)
fill(rsiPlot, midLinePlot, 100, 70, top_color = color.new(color.green, 0), bottom_color = color.new(color.green, 100), title = "Overbought Gradient Fill")
fill(rsiPlot, midLinePlot, 30, 0, top_color = color.new(color.red, 100), bottom_color = color.new(color.red, 0), title = "Oversold Gradient Fill")
// --- Divergencia RSI ---
lookbackRight = 5
lookbackLeft = 5
rangeUpper = 60
rangeLower = 5
bearColor = color.red
bullColor = color.green
textColor = color.white
noneColor = color.new(color.white, 100)
_inRange(bool cond) =>
bars = ta.barssince(cond)
rangeLower <= bars and bars <= rangeUpper
plFound = false
phFound = false
bullCond = false
bearCond = false
rsiLBR = rsi
if calculateDivergence
// Regular Bullish
plFound := not na(ta.pivotlow(rsi, lookbackLeft, lookbackRight))
rsiHL = rsiLBR > ta.valuewhen(plFound, rsiLBR, 1) and _inRange(plFound )
lowLBR = low
priceLL = lowLBR < ta.valuewhen(plFound, lowLBR, 1)
bullCond := priceLL and rsiHL and plFound
// Regular Bearish
phFound := not na(ta.pivothigh(rsi, lookbackLeft, lookbackRight))
rsiLH = rsiLBR < ta.valuewhen(phFound, rsiLBR, 1) and _inRange(phFound )
highLBR = high
priceHH = highLBR > ta.valuewhen(phFound, highLBR, 1)
bearCond := priceHH and rsiLH and phFound
plot(
plFound ? rsiLBR : na,
offset=-lookbackRight,
title="Regular Bullish",
linewidth=2,
color=(bullCond ? bullColor : noneColor),
display = display.pane
)
plotshape(
bullCond ? rsiLBR : na,
offset=-lookbackRight,
title="Regular Bullish Label",
text=" Bull ",
style=shape.labelup,
location=location.absolute,
color=bullColor,
textcolor=textColor
)
plot(
phFound ? rsiLBR : na,
offset=-lookbackRight,
title="Regular Bearish",
linewidth=2,
color=(bearCond ? bearColor : noneColor),
display = display.pane
)
plotshape(
bearCond ? rsiLBR : na,
offset=-lookbackRight,
title="Regular Bearish Label",
text=" Bear ",
style=shape.labeldown,
location=location.absolute,
color=bearColor,
textcolor=textColor
)
alertcondition(bullCond, title='Regular Bullish Divergence', message="Found a new Regular Bullish Divergence, `Pivot Lookback Right` number of bars to the left of the current bar.")
alertcondition(bearCond, title='Regular Bearish Divergence', message='Found a new Regular Bearish Divergence, `Pivot Lookback Right` number of bars to the left of the current bar.')
Close Within Top or Bottom 10%For all the boys that like to see 10% candles and require them for more in depth backtesting purposes
Daily CPR & 3MA CrossoverDaily CPR & 3MA Crossover this indicator make profitable trader
This script calculates the Daily CPR and plots the three lines (Top Central, Pivot, and Bottom Central) on the chart. It also calculates three moving averages, identifies crossovers for buy/sell signals, and provides visual markers and alerts for those signals. You can customize the moving average lengths in the settings. Let me know if you need adjustments or additional features!
Buffett Indicator: Wilshire 5000 to GDP Ratio [Enhanced]Funktionen:
Buffett-Indikator Berechnung:
Der Indikator basiert auf Daten von FRED:
Wilshire 5000 Total Market Index (WILL5000PR): Darstellung der gesamten Marktkapitalisierung des US-Marktes.
Bruttoinlandsprodukt (GDP): Darstellung der gesamten Wirtschaftsleistung der USA.
Der Indikator wird als Prozentsatz berechnet:
Marktkapitalisierung / GDP * 100
Gleitender Durchschnitt (optional):
Du kannst einen gleitenden Durchschnitt aktivieren, um Trends des Buffett-Indikators zu analysieren.
Zwei Typen stehen zur Verfügung:
SMA (Simple Moving Average): Einfacher gleitender Durchschnitt.
EMA (Exponential Moving Average): Gewichteter gleitender Durchschnitt.
Die Länge des gleitenden Durchschnitts ist konfigurierbar.
Visuelle Darstellung:
Der Buffett-Indikator wird als blaue Linie auf dem Chart dargestellt.
Horizontalen Schwellenwerte (50, 100, 150, 200) zeigen wichtige Level an:
50: Niedrig (grün).
100: Durchschnittlich (gelb).
150: Hoch (orange).
200: Extrem hoch (rot).
Alerts:
Alerts informieren dich, wenn der Buffett-Indikator über oder unter einen von dir definierten Schwellenwert geht.
Ideal für automatisches Monitoring und Benachrichtigungen.
Eingabemöglichkeiten:
Moving Average Einstellungen:
Enable Moving Average: Aktiviert den gleitenden Durchschnitt.
Type: Wähle zwischen SMA und EMA.
Length: Bestimme die Länge des gleitenden Durchschnitts (Standard: 200).
Alert Level:
Setze den Schwellenwert, ab dem Alerts ausgelöst werden (z. B. 150).
Anwendung:
Marktanalyse: Der Buffett-Indikator hilft dabei, die Bewertung des Aktienmarktes im Verhältnis zur Wirtschaftsleistung zu bewerten. Ein Wert über 100 % deutet auf eine mögliche Überbewertung hin.
Trendverfolgung: Der gleitende Durchschnitt zeigt langfristige Trends des Indikators.
Benachrichtigungen: Alerts ermöglichen eine effiziente Überwachung, ohne den Indikator ständig manuell überprüfen zu müssen.
Eksiradwin k CCI with Zero SignalCCI with Zero Signal by Edwin K is a custom Commodity Channel Index (CCI) indicator designed for traders to analyze market trends and momentum more effectively. It combines the CCI calculation with a visually distinct histogram and color-coded candlestick bars for enhanced clarity and decision-making.
Key Features:
CCI Line:
Plots the CCI line based on the specified length (default: 21).
Helps identify overbought or oversold conditions, momentum shifts, and trend reversals.
Zero Signal Line:
A horizontal line at 0 serves as a reference point to distinguish between bullish and bearish momentum.
Histogram:
Displays a histogram that reflects the CCI's values.
Histogram bars change colors dynamically based on their relation to the zero line and the trend's direction.
Green/Lime: Positive momentum (above zero).
Red/Maroon: Negative momentum (below zero).
Candlestick Coloring:
Automatically paints candlesticks based on the histogram's color.
Provides an intuitive visual cue for momentum shifts directly on the price chart.
Use Cases:
Trend Confirmation: Use the histogram and candlestick colors to confirm the strength and direction of trends.
Momentum Shifts: Identify transitions between bullish and bearish momentum when the CCI crosses the zero line.
Entry and Exit Points: Combine this indicator with other tools to pinpoint optimal trade entries and exits.
This indicator offers a user-friendly yet powerful visualization of the CCI, making it an excellent tool for traders aiming to enhance their technical analysis.
Cameron's 1m Swing Structure IndicatorThis is based off of Pips2Profit's www.youtube.com
I am no programmer, took the CC and had ChatGPT do the coding. I found it amazing, thought I would share.
For educational use only. :P
Dan-Machine Learning: Lorentzian Classification with AlertsAlerts by any colour change in smoothed Heikin Ashi candles.
RSI & CCI Strategy這套 RSI & CCI 策略 結合了兩個受歡迎的技術指標：相對強弱指標 (RSI) 和商品通道指標 (CCI)，並使用風險回報比率和固定止損來設置交易參數，從而幫助您做出更有策略的交易決策。
主要特點：
RSI & CCI指標：RSI用來識別超賣和超買區域，CCI則幫助分析市場的過度買入或賣出情況。
交易條件：
長倉進場：當RSI處於超賣區域（<20）且CCI低於-200時，開啟多頭交易。
短倉進場：當RSI處於超買區域（>80）且CCI高於200時，開啟空頭交易。
風險控制：設置固定止損和基於風險回報比率的止盈點，進一步幫助保護資金，減少風險。
視覺化輔助：在圖表上標註買入和賣出信號，並繪製止損和止盈線，幫助您清楚了解每個交易的風險和回報。
這套策略如何幫助您？
這套策略不僅是基於RSI和CCI的信號觸發，更是融合了止損與風險回報比率的風控設計，讓每一筆交易都能有清晰的風險控制。不論是新手還是有經驗的交易者，都能通過這套策略做出更加理性的交易決策，並減少情緒的影響。
為什麼選擇加入我的社群？
我專注於提供專業的交易策略與風險管理知識，並不斷優化交易模型。通過加入我的社群，您將獲得更多基於市場結構、流動性策略及風險管理的高效交易技巧。我會在社群內與大家共享最新的策略、分析以及市場動態，幫助每位成員實現穩定的交易回報。
加入我的社群，您不僅可以學習更多交易技巧，還能與其他交易者交流，獲取支持和實戰經驗，共同成長！
如果您對這套策略感興趣，或希望獲得更多個性化的建議，隨時與我聯繫，我將非常樂意幫助您提升交易水平，達到理想的盈利目標！
