比爾威廉指標
UFX PRO How it works
The indicator plots a single line on the chart that changes position and color depending on the trend:
🟢 Uptrend:
The SuperTrend line is below the price → bullish bias
🔴 Downtrend:
The SuperTrend line is above the price → bearish bias
When the price crosses the SuperTrend line, it often signals a potential trend reversal.
✅ Advantages
✔ Easy to read
✔ Works well in trending markets
✔ Adaptive to volatility
✔ Useful for stops and trend confirmation
Sonic R 89 - NY SL Custom Fixed//@version=5
indicator("Sonic R 89 - NY SL Custom Fixed", overlay=true, max_lines_count=500)
// --- 0. TÙY CHỈNH THÔNG SỐ ---
group_session = "Cài đặt Phiên Giao Dịch (Giờ New York)"
use_session = input.bool(true, "Chỉ giao dịch theo khung giờ", group=group_session)
session_time = input.session("0800-1200", "Khung giờ NY 1", group=group_session)
session_time2 = input.session("1300-1700", "Khung giờ NY 2", group=group_session)
max_trades_per_session = input.int(1, "Số lệnh tối đa/mỗi khung giờ", minval=1, group=group_session)
group_risk = "Quản lý Rủi ro (Dashboard)"
risk_usd = input.float(100.0, "Số tiền rủi ro mỗi lệnh ($)", minval=1.0, group=group_risk)
group_sl_custom = "Cấu hình Stop Loss (SL)"
sl_mode = input.string("Dragon", "Chế độ SL", options= , group=group_sl_custom)
lookback_x = input.int(5, "Số nến (X) cho Swing SL", minval=1, group=group_sl_custom)
group_htf = "Lọc Đa khung thời gian (MTF)"
htf_res = input.timeframe("30", "Chọn khung HTF", group=group_htf)
group_sonic = "Cấu hình Sonic R"
vol_mult = input.float(1.5, "Đột biến Volume", minval=1.0)
max_waves = input.int(4, "Ưu tiên n nhịp đầu", minval=1)
trade_cd = input.int(5, "Khoảng cách lệnh (nến)", minval=1)
group_tp = "Quản lý SL/TP & Dòng kẻ"
rr_tp1 = input.float(1.0, "TP1 (RR)", step=0.1)
rr_tp2 = input.float(2.0, "TP2 (RR)", step=0.1)
rr_tp3 = input.float(3.0, "TP3 (RR)", step=0.1)
rr_tp4 = input.float(4.0, "TP4 (RR)", step=0.1)
line_len = input.int(15, "Chiều dài dòng kẻ", minval=1)
// --- 1. KIỂM TRA PHIÊN & HTF ---
is_in_sess1 = not na(time(timeframe.period, session_time, "America/New_York"))
is_in_sess2 = not na(time(timeframe.period, session_time2, "America/New_York"))
is_in_session = use_session ? (is_in_sess1 or is_in_sess2) : true
var int trades_count = 0
is_new_session = is_in_session and not is_in_session
if is_new_session
trades_count := 0
htf_open = request.security(syminfo.tickerid, htf_res, open, lookahead=barmerge.lookahead_on)
htf_close = request.security(syminfo.tickerid, htf_res, close, lookahead=barmerge.lookahead_on)
is_htf_trend = htf_close >= htf_open ? 1 : -1
// --- 2. TÍNH TOÁN CHỈ BÁO ---
ema89 = ta.ema(close, 89)
ema34H = ta.ema(high, 34)
ema34L = ta.ema(low, 34)
atr = ta.atr(14)
avgVol = ta.sma(volume, 20)
slope89 = (ema89 - ema89 ) / atr
hasSlope = math.abs(slope89) > 0.12
isSqueezed = math.abs(ta.ema(close, 34) - ema89) < (atr * 0.5)
var int waveCount = 0
if not hasSlope
waveCount := 0
newWave = hasSlope and ((low <= ema34H and close > ema34H) or (high >= ema34L and close < ema34L))
if newWave and not newWave
waveCount := waveCount + 1
// --- 3. LOGIC VÀO LỆNH ---
isMarubozu = math.abs(close - open) / (high - low) > 0.8
highVol = volume > avgVol * vol_mult
buyCondition = is_in_session and (trades_count < max_trades_per_session) and waveCount <= max_waves and is_htf_trend == 1 and
(isMarubozu or highVol) and close > ema34H and low >= ema89 and
(slope89 > 0.1 or isSqueezed ) and close > open
sellCondition = is_in_session and (trades_count < max_trades_per_session) and waveCount <= max_waves and is_htf_trend == -1 and
(isMarubozu or highVol) and close < ema34L and high <= ema89 and
(slope89 < -0.1 or isSqueezed ) and close < open
// --- 4. QUẢN LÝ LỆNH ---
var float last_entry = na
var float last_sl = na
var float last_tp1 = na
var float last_tp2 = na
var float last_tp3 = na
var float last_tp4 = na
var string last_type = "NONE"
var int lastBar = 0
trigger_buy = buyCondition and (bar_index - lastBar > trade_cd)
trigger_sell = sellCondition and (bar_index - lastBar > trade_cd)
// --- 5. TÍNH TOÁN SL & LOT SIZE ---
float contract_size = 1.0
if str.contains(syminfo.ticker, "XAU") or str.contains(syminfo.ticker, "GOLD")
contract_size := 100
// Logic tính SL linh hoạt
float swing_low = ta.lowest(low, lookback_x)
float swing_high = ta.highest(high, lookback_x)
float temp_sl_calc = na
if trigger_buy
temp_sl_calc := (sl_mode == "Dragon") ? ema34L : swing_low
if trigger_sell
temp_sl_calc := (sl_mode == "Dragon") ? ema34H : swing_high
float sl_dist_calc = math.abs(close - temp_sl_calc)
float calc_lots = (sl_dist_calc > 0) ? (risk_usd / (sl_dist_calc * contract_size)) : 0
if (trigger_buy or trigger_sell)
trades_count := trades_count + 1
lastBar := bar_index
last_type := trigger_buy ? "BUY" : "SELL"
last_entry := close
last_sl := temp_sl_calc
float riskAmt = math.abs(last_entry - last_sl)
last_tp1 := trigger_buy ? last_entry + (riskAmt * rr_tp1) : last_entry - (riskAmt * rr_tp1)
last_tp2 := trigger_buy ? last_entry + (riskAmt * rr_tp2) : last_entry - (riskAmt * rr_tp2)
last_tp3 := trigger_buy ? last_entry + (riskAmt * rr_tp3) : last_entry - (riskAmt * rr_tp3)
last_tp4 := trigger_buy ? last_entry + (riskAmt * rr_tp4) : last_entry - (riskAmt * rr_tp4)
// Vẽ dòng kẻ
line.new(bar_index, last_entry, bar_index + line_len, last_entry, color=color.new(color.gray, 50), width=2)
line.new(bar_index, last_sl, bar_index + line_len, last_sl, color=color.red, width=2, style=line.style_dashed)
line.new(bar_index, last_tp1, bar_index + line_len, last_tp1, color=color.green, width=1)
line.new(bar_index, last_tp2, bar_index + line_len, last_tp2, color=color.lime, width=1)
line.new(bar_index, last_tp3, bar_index + line_len, last_tp3, color=color.aqua, width=1)
line.new(bar_index, last_tp4, bar_index + line_len, last_tp4, color=color.blue, width=2)
// KÍCH HOẠT ALERT()
string alert_msg = (trigger_buy ? "BUY " : "SELL ") + syminfo.ticker + " at " + str.tostring(close) + " | SL Mode: " + sl_mode + " | Lot: " + str.tostring(calc_lots, "#.##") + " | SL: " + str.tostring(last_sl, format.mintick)
alert(alert_msg, alert.freq_once_per_bar_close)
// --- 6. CẢNH BÁO CỐ ĐỊNH ---
alertcondition(trigger_buy, title="Sonic R BUY Alert", message="Sonic R BUY Signal Detected")
alertcondition(trigger_sell, title="Sonic R SELL Alert", message="Sonic R SELL Signal Detected")
// --- 7. DASHBOARD & PLOT ---
var table sonic_table = table.new(position.top_right, 2, 10, bgcolor=color.new(color.black, 70), border_width=1, border_color=color.gray)
if barstate.islast
table.cell(sonic_table, 0, 0, "NY SESSION", text_color=color.white), table.cell(sonic_table, 1, 0, last_type, text_color=(last_type == "BUY" ? color.lime : color.red))
table.cell(sonic_table, 0, 1, "SL Mode:", text_color=color.white), table.cell(sonic_table, 1, 1, sl_mode, text_color=color.orange)
table.cell(sonic_table, 0, 2, "Trades this Sess:", text_color=color.white), table.cell(sonic_table, 1, 2, str.tostring(trades_count) + "/" + str.tostring(max_trades_per_session), text_color=color.yellow)
table.cell(sonic_table, 0, 3, "LOT SIZE:", text_color=color.orange), table.cell(sonic_table, 1, 3, str.tostring(calc_lots, "#.##"), text_color=color.orange)
table.cell(sonic_table, 0, 4, "Entry:", text_color=color.white), table.cell(sonic_table, 1, 4, str.tostring(last_entry, format.mintick), text_color=color.yellow)
table.cell(sonic_table, 0, 5, "SL:", text_color=color.white), table.cell(sonic_table, 1, 5, str.tostring(last_sl, format.mintick), text_color=color.red)
table.cell(sonic_table, 0, 6, "TP1:", text_color=color.gray), table.cell(sonic_table, 1, 6, str.tostring(last_tp1, format.mintick), text_color=color.green)
table.cell(sonic_table, 0, 7, "TP2:", text_color=color.gray), table.cell(sonic_table, 1, 7, str.tostring(last_tp2, format.mintick), text_color=color.lime)
table.cell(sonic_table, 0, 8, "TP3:", text_color=color.gray), table.cell(sonic_table, 1, 8, str.tostring(last_tp3, format.mintick), text_color=color.aqua)
table.cell(sonic_table, 0, 9, "TP4:", text_color=color.gray), table.cell(sonic_table, 1, 9, str.tostring(last_tp4, format.mintick), text_color=color.blue)
plot(ema89, color=slope89 > 0.1 ? color.lime : slope89 < -0.1 ? color.red : color.gray, linewidth=2)
p_high = plot(ema34H, color=color.new(color.blue, 80))
p_low = plot(ema34L, color=color.new(color.blue, 80))
fill(p_high, p_low, color=color.new(color.blue, 96))
plotshape(trigger_buy, "BUY", shape.triangleup, location.belowbar, color=color.green, size=size.small)
plotshape(trigger_sell, "SELL", shape.triangledown, location.abovebar, color=color.red, size=size.small)
bgcolor(isSqueezed ? color.new(color.yellow, 92) : na)
bgcolor(not is_in_session ? color.new(color.gray, 96) : na)
Trendlines with Breaks + Fib Lines ONLY15min and 3min fib line already marked 15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked
MATT 3This indicator helps identify high-probability trend shifts and continuation setups by combining momentum, trend strength, and volatility into a single, easy-to-read signal. It highlights bullish/bearish conditions, marks potential entries and exits, and reduces noise during choppy markets with adaptive filtering. Use it to confirm direction, time pullbacks, and stay aligned with the dominant trend.
MATT 2This indicator helps identify high-probability trend shifts and continuation setups by combining momentum, trend strength, and volatility into a single, easy-to-read signal. It highlights bullish/bearish conditions, marks potential entries and exits, and reduces noise during choppy markets with adaptive filtering. Use it to confirm direction, time pullbacks, and stay aligned with the dominant trend.
MATT 4This indicator helps identify high-probability trend shifts and continuation setups by combining momentum, trend strength, and volatility into a single, easy-to-read signal. It highlights bullish/bearish conditions, marks potential entries and exits, and reduces noise during choppy markets with adaptive filtering. Use it to confirm direction, time pullbacks, and stay aligned with the dominant trend.
MATT 1This indicator helps identify high-probability trend shifts and continuation setups by combining momentum, trend strength, and volatility into a single, easy-to-read signal. It highlights bullish/bearish conditions, marks potential entries and exits, and reduces noise during choppy markets with adaptive filtering. Use it to confirm direction, time pullbacks, and stay aligned with the dominant trend.
Luminous Market Flux [Pineify]Luminous Market Flux - Dynamic Volatility Channel with Breakout Detection
The Luminous Market Flux indicator is a sophisticated volatility-based trading tool that combines dynamic channel analysis with breakout detection and squeeze identification. This indicator helps traders visualize market conditions by creating an adaptive envelope around price action, highlighting periods of compression (low volatility) and expansion (high volatility) while generating actionable buy and sell signals at key breakout moments.
Key Features
Dynamic volatility channel that adapts to changing market conditions using ATR-based calculations
Visual squeeze detection system that warns traders when volatility is contracting
Automatic breakout signal generation for both bullish and bearish scenarios
Luminous gradient fill that provides instant visual feedback on price position within the channel
Bar coloring feature that highlights strong volatility breakouts
Built-in alert conditions for automated trading notifications
How It Works
The indicator operates on three core calculation layers:
1. Baseline Calculation (Central Tendency)
The foundation uses a Running Moving Average (RMA) of the closing price over the specified Flux Length period. RMA was specifically chosen over SMA or EMA because it provides smoother trend detection similar to how RSI and ATR calculations work, reducing noise while maintaining responsiveness to genuine price movements.
2. Volatility Measurement
The channel width is determined by the Average True Range (ATR) multiplied by the Flux Expansion Factor. ATR captures the true volatility of the market by accounting for gaps and limit moves, making the channel responsive to actual market conditions rather than just closing price variations.
3. Squeeze Detection Logic
The indicator compares the current channel width against a 100-period simple moving average of historical channel widths. When the current range falls below 80% of this average, a squeeze condition is identified, signaling that volatility is compressing and a significant move may be imminent.
Trading Ideas and Insights
Breakout Trading: Enter long positions when price breaks above the upper flux channel with a BUY signal, and short positions when price breaks below the lower channel with a SELL signal. These breakouts indicate strong momentum in the direction of the move.
Squeeze Anticipation: When squeeze circles appear at the top of the chart, prepare for a potential explosive move. Squeezes often precede significant breakouts as the market coils before releasing energy in one direction.
Trend Confirmation: Use the bar coloring feature to confirm trend strength. Colored bars indicate that price is trading outside the volatility envelope, suggesting strong directional momentum.
Mean Reversion: When price is within the channel (no bar coloring), the gradient fill helps identify whether price is closer to the upper or lower boundary, potentially useful for mean-reversion strategies.
How Multiple Indicators Work Together
This indicator integrates several technical concepts into a cohesive system:
The RMA baseline provides the trend anchor, while the ATR-based envelope adapts to volatility conditions. These two components work together to create a channel that expands during volatile periods and contracts during quiet markets. The squeeze detection layer adds a third dimension by comparing current volatility to historical norms, alerting traders when the market is unusually quiet.
The visual elements reinforce this analysis: the gradient fill shows price position within the channel at a glance, bar coloring confirms breakout strength, and shape markers provide discrete entry signals. This multi-layered approach ensures traders receive consistent information across different visualization methods.
Unique Aspects
The "Luminous" visual design uses color gradients that dynamically shift based on price position, creating an intuitive heat-map effect within the channel
Unlike traditional Bollinger Bands that use standard deviation, this indicator uses ATR for volatility measurement, making it more responsive to actual price range movements
The squeeze detection compares current volatility to a longer-term average (100 periods), providing context-aware compression signals rather than arbitrary thresholds
Signal generation uses proper state tracking to ensure breakout signals only fire on the initial breakout, not on every bar during an extended move
How to Use
Add the indicator to your chart. It will overlay directly on price with the volatility channel visible.
Watch for BUY labels appearing below bars when price breaks above the upper channel - these indicate bullish breakout opportunities.
Watch for SELL labels appearing above bars when price breaks below the lower channel - these indicate bearish breakout opportunities.
Monitor for small circles at the top of the chart indicating squeeze conditions - prepare for potential breakouts when these appear.
Use the colored bars as confirmation of breakout strength - green bars confirm bullish momentum, red bars confirm bearish momentum.
Set up alerts using the built-in alert conditions to receive notifications for buy signals, sell signals, and squeeze warnings.
Customization
Flux Length (default: 20): Controls the lookback period for both the baseline and ATR calculations. Lower values create more responsive but noisier channels; higher values create smoother but slower-reacting channels.
Flux Expansion Factor (default: 2.0): Multiplier for the ATR value that determines channel width. Higher values create wider channels with fewer signals; lower values create tighter channels with more frequent signals.
Smooth Signal : Toggle for signal smoothing preference.
Bullish Energy : Customize the color for bullish breakouts and upper channel highlights.
Bearish Energy : Customize the color for bearish breakouts and lower channel highlights.
Compression/Neutral : Customize the color for squeeze indicators and neutral channel states.
Conclusion
The Luminous Market Flux indicator provides traders with a comprehensive volatility analysis tool that combines channel-based trend detection, squeeze identification, and breakout signaling into a single, visually intuitive package. By using ATR-based volatility measurement and RMA smoothing, the indicator adapts to changing market conditions while filtering out noise. Whether you are a breakout trader looking for momentum entries or a swing trader waiting for volatility expansion after compression periods, this indicator offers the visual clarity and signal precision needed to make informed trading decisions.
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US 3H HARDCORE SCALPING ALGO (FINAL) utc+9English: User Manual1. OverviewThis indicator is a high-intensity scalping tool designed to capture volatility during the first 3 hours of the US market session. It combines trend filtering, value-based entries, and volume validation to identify high-probability trade setups.2. Key ComponentsTrend Filter (EMA 200): Determines the long-term market direction. Only buy signals are generated above the EMA 200, and only sell signals below it.Value Area (VWAP): Represents the Volume Weighted Average Price. It acts as a "magnet" for price and a baseline for fair value.Session Focus (KST 23:00 - 02:00): Highlights the US session opening hours in Korea Standard Time (Red background). It automatically calculates the 3-hour window regardless of the chart timeframe.Volume Filter: Ensures that signals are only generated when trading activity is higher than the 20-period average, filtering out "fake" breakouts.3. Entry ConditionsLong (Buy) Signal:Time: Must be within the Red Focus Zone.Trend: Price is above EMA 200 ($Close > EMA_{200}$).Value: Price is above VWAP.Reaction: The bar's low touches or dips below VWAP, but the bar closes back above it (Pullback recovery).Volume: Current volume is higher than the 20-period Volume SMA.Short (Sell) Signal:Time: Must be within the Red Focus Zone.Trend: Price is below EMA 200 ($Close < EMA_{200}$).Value: Price is below VWAP.Reaction: The bar's high touches or rises above VWAP, but the bar closes back below it (Rejection recovery).Volume: Current volume is higher than the 20-period Volume SMA.4. Visual ElementsYellow Line: EMA 200.Aqua Line: VWAP.Red Background: US 3-hour focus window.Information Label (Top Right): Real-time display of current trend, VWAP position, and session status.
STRs & TRNDs Combinedwe need to publish this second indicator , let see how can we publish this.
We are here to publish this script.
OB BB Script AkashDescription is giving here to describe it better. here is the the description of the indicator .
we will define this indicator for this .
Pivot Points AvancadoOlá Amigos,
Indicador Pivot Points com Cruzamento de Médias Móveis
Fabricio Nicolau
Custom Stochastic Momentum Index (SMI)📊 Custom Stochastic Momentum Index (SMI)
Custom Stochastic Momentum Index (SMI) is a refined momentum oscillator designed to identify trend strength, reversals, and overbought/oversold conditions with higher accuracy than traditional stochastic indicators.
This version gives traders full control over smoothing and signal calculation, making it suitable for intraday, swing, and positional trading across all markets.
🔹 Key Features
Fully customizable %K Length
Adjustable %K Smoothing and Double Smoothing
Configurable %D Period
User-selectable %D Moving Average Type
SMA
EMA
WMA
RMA
Fixed and proven levels:
Overbought: +40
Oversold: −40
Automatic shaded zones above overbought and below oversold levels
Clear K–D crossover labels for precise entry and exit timing
Clean, non-repainting logic
📈 How to Use
Bullish Setup
Look for %K crossing above %D near or below −40
Bearish Setup
Look for %K crossing below %D near or above +40
Trend Confirmation
Trade crossovers in the direction of the higher-timeframe trend
Works best when combined with:
Price Action
Support & Resistance
Market Structure / SMC concepts
🎯 Best For
Intraday traders
Swing traders
Momentum-based strategies
Confirmation with structure or breakout systems
⚠️ Disclaimer
This indicator is for educational and analytical purposes only.
It does not provide financial advice. Always use proper risk management.
STOCHRSI+WRsotch RSI indicator
WR indicator
2 in 1
use this indicator
we can see stoch RSI and WR% on 1 chart
stoch RSI above 0 , 0 to 100
WR% under 0, -100 to 0
if price on the uptrend
when stoch RSI below 20 , better buy
WR% below -80, better buy
if price is downtrend
when stoch RSI above 80 , better sell
WR% above -20, better sell
Real RSI/threshold = input.float(80, title = "rsi above")
// condition = rsi60 > threshold
// barcolor(condition ? color.purple : na)
// bgcolor(condition ? color.new(color.purple, 80) : na, force_overlay = true)
EMA + VWAP + Williams FractalsEMA 9, EMA 21, 55 and 200 and VWAP. For a bullish bias, EMA 9 is above EMA 21 and the VWAP; for a bearish bias, EMA 9 is below EMA 21 and the VWAP.
CustomQuantLabs- High-Velocity Momentum EngineClarity is your only edge.
Most indicators create noise. They are cluttered, lagging, and difficult to interpret in real-time.
Rocket Fuel was designed to solve one problem: Instant Trend Identification. It converts complex momentum math into a single, high-contrast ribbon that allows you to assess market state in milliseconds.
THE MECHANICS:
Dynamic Ribbon: The line thickens and glows based on trend strength, filtering out weak signals.
Visual Velocity:
🌑 Grey: Chop / Neutral (No Edge).
🟧 Orange: Momentum Building (Watchlist).
🟩 Green: Trend Established (Execution Zone).
🟪 Purple: Parabolic Velocity (Extreme Momentum).
Live Dashboard: A minimalist HUD provides real-time velocity metrics without obscuring price action.
HOW TO USE: If the ribbon is Grey, you sit on your hands. If the ribbon turns Orange/Green, the volatility filter has disengaged, and probability favors the trend.
FUTURE UPDATES: This is the core engine. I am currently finalizing the "Launchpad" (Automated Support & Resistance Zones) to pair with this tool.
Please Boost 🚀 and Follow if you want to be notified when the Launchpad update goes live.
NQ Overnight Expansion + London Sweep Asia (v6)requirement reminders to trade
dont trade if ovn expanded over 200 points
or
if london swept asia levels
PD Location Screener (NY Session)Scan only for DISCOUNT or PREMIUM
Ignore everything at equilibrium
Then apply:
Liquidity sweep
Displacement
FVG / OB
One trade. Done.
[PAPI] TF-OBV-ATR-Weighted MACDThis is a MACD indicator with a few differences:
Multi-Timeframe: The indicator calculates the "MACD", the "Signal" and the "Histogram" for four user-defined timeframes.
Volume weighted: The three MACD variables calculated for each timeframe above are weight-averaged according to On Balance Volume (OBV).
Volatility weighted: The three MACD variables calculated for each time frame above are also weight-averaged according to Average True Range (ATR)
The MACD, Signal and Histogram are plotted.
I use the indicator twice. Once with the user defined Timeframes set to high TFs (Month/Week/Day/4h) - this is for directional bias. And once with lower TFs (1m/3m/15m/1h).
