Trend Speed Analyzer + alerts//@version=6
indicator('Trend Speed Analyzer + alerts', overlay = false)
//~~}
// ~~ Tooltips {
string t1 = 'Maximum Length: This parameter sets the upper limit for the number of bars considered in the dynamic moving average. A higher value smooths out the trend line, making it less reactive to minor fluctuations but slower to adapt to sudden price movements. Use higher values for long-term trend analysis and lower values for faster-moving markets.'
string t2 = 'Accelerator Multiplier: Adjusts the responsiveness of the dynamic moving average to price changes. A larger value makes the trend more reactive but can introduce noise in choppy markets. Lower values create a smoother trend but may lag behind rapid price movements. This is particularly useful in volatile markets where precise sensitivity is needed.'
string t5 = 'Enable Candles: When enabled, the candlesticks on the chart will be color-coded based on the calculated trend speed. This provides a visual representation of momentum, making it easier to spot shifts in market dynamics. Disable this if you prefer the standard candlestick colors.'
string t6 = 'Collection Period: Defines the number of bars used to normalize trend speed values. A higher value includes a broader historical range, smoothing out the speed calculation. Lower values make the speed analysis more sensitive to recent price changes, ideal for short-term trading.'
string t7 = 'Enable Table: Activates a statistical table that provides an overview of key metrics, such as average wave height, maximum wave height, dominance, and wave ratios. Useful for traders who want numerical insights to complement visual trend analysis.'
string t8 = 'Lookback Period: Determines how many historical bars are used for calculating bullish and bearish wave data. A longer lookback period provides a more comprehensive view of market trends but may dilute sensitivity to recent market conditions. Shorter periods focus on recent data.'
string t9 = 'Start Date: Sets the starting point for all calculations. This allows you to analyze data only from a specific date onward, which is useful for isolating trends within a certain period or avoiding historical noise.'
string t10 = 'Timer Option: Select between using a custom start date or starting from the first available bar on the chart. The \'Custom\' option works with the Start Date setting, while \'From start\' includes all available data.'
// Tooltips for Table Cells
string tt1 = 'Average Wave: Shows the average size of bullish or bearish waves during the lookback period. Use this to assess overall market strength. Larger values indicate stronger trends, and comparing bullish vs bearish averages can reveal market bias. For instance, a higher bullish average suggests a stronger uptrend.'
string tt2 = 'Max Wave: Displays the largest bullish or bearish wave during the lookback period. Use this to identify peak market momentum. A significantly higher bullish or bearish max wave indicates where the market may have shown extreme trend strength in that direction.'
string tt3 = 'Current Wave Ratio (Average): Compares the current wave\'s size to the average wave size for both bullish and bearish trends. A value above 1 indicates the current wave is stronger than the historical average, which may signal increased market momentum. Use this to evaluate if the current move is significant compared to past trends.'
string tt4 = 'Current Wave Ratio (Max): Compares the current wave\'s size to the maximum wave size for both bullish and bearish trends. A value above 1 suggests the current wave is setting new highs in strength, which could indicate a breakout or strong momentum in the trend direction.'
string tt5 = 'Dominance (Average): The net difference between the average bullish and bearish wave sizes. Positive values suggest bullish dominance over time, while negative values indicate bearish dominance. Use this to determine which side (bulls or bears) has had consistent control of the market over the lookback period.'
string tt6 = 'Dominance (Max): The net difference between the largest bullish and bearish wave sizes. Positive values suggest bulls have dominated with stronger individual waves, while negative values indicate bears have produced stronger waves. Use this to gauge the most significant power shifts in the market.'
//~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~}
max_length = input.int(50, minval = 1, title = 'Maximum Length', group = 'Dynamic Moving Average', tooltip = t1)
accel_multiplier = input.float(5.0, minval = 0.0, step = 1.1, title = 'Accelerator Multiplier', group = 'Dynamic Moving Average', tooltip = t2)
tbl_ = input.bool(true, title = 'Enable Table', group = 'Wave Analysis', tooltip = t7)
lookback_period = input.int(100, minval = 1, step = 1, title = 'Lookback Period', group = 'Wave Analysis', tooltip = t8)
candle = input.bool(true, title = 'Enable Candles', group = 'Trend Visualization', tooltip = t5)
collen = input.int(100, step = 10, minval = 5, title = 'Collection Period', group = 'Trend Visualization', tooltip = t6)
up_col = input.color(color.lime, title = 'Dynamic Trend', group = 'Trend Visualization', inline = 'Trend')
dn_col = input.color(color.red, title = '', group = 'Trend Visualization', inline = 'Trend')
up_hist_col = input.color(#82ffc3, title = 'Trend Speed Up', group = 'Trend Visualization', inline = 'up')
up_hist_col_ = input.color(color.lime, title = '', group = 'Trend Visualization', inline = 'up')
dn_hist_col = input.color(color.red, title = 'Trend Speed Dn', group = 'Trend Visualization', inline = 'dn')
dn_hist_col_ = input.color(#f78c8c, title = '', group = 'Trend Visualization', inline = 'dn')
start = input.time(timestamp('1 Jan 2020 00:00 +0000'), title = 'Start Date', group = 'Time Settings', tooltip = t9, inline = 'startdate')
timer = input.string('From start', title = 'Timer Option', options = , group = 'Time Settings', tooltip = t10, inline = 'startdate')
// ~~ Dynamic Average {
counts_diff = close
max_abs_counts_diff = ta.highest(math.abs(counts_diff), 200)
counts_diff_norm = (counts_diff + max_abs_counts_diff) / (2 * max_abs_counts_diff)
dyn_length = 5 + counts_diff_norm * (max_length - 5)
// ~~ Function to compute the accelerator factor with normalization of delta_counts_diff {
calc_accel_factor(float counts_diff, float prev_counts_diff) =>
delta_counts_diff = math.abs(counts_diff - prev_counts_diff)
float max_delta_counts_diff = ta.highest(delta_counts_diff, 200)
max_delta_counts_diff := max_delta_counts_diff == 0 ? 1 : max_delta_counts_diff
float accel_factor = delta_counts_diff / max_delta_counts_diff
accel_factor
//~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~}
// ~~ Function to adjust alpha using the accelerator factor {
adjust_alpha(float dyn_length, float accel_factor, float accel_multiplier) =>
alpha_base = 2 / (dyn_length + 1)
alpha = alpha_base * (1 + accel_factor * accel_multiplier)
alpha := math.min(1, alpha)
alpha
//~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~}
// ~~ Accelerator Factor
accel_factor = calc_accel_factor(counts_diff, nz(counts_diff ))
alpha = adjust_alpha(dyn_length, accel_factor, accel_multiplier)
// ~~ Compute dynamic Ema
var float dyn_ema = na
dyn_ema := na(dyn_ema ) ? close : alpha * close + (1 - alpha) * dyn_ema
//~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~}
// ~~ Trend Speed {
trend = dyn_ema
bullsrc = close
bearsrc = close
type TrendData
array change
array t
StartTime() =>
time > start
var bullish = TrendData.new(array.new(), array.new())
var bearish = TrendData.new(array.new(), array.new())
var x1 = int(na)
var y1 = float(na)
var pos = 0
var speed = 0.0
c = ta.rma(close, 10)
o = ta.rma(open, 10)
// ~~ First value {
if na(x1) and StartTime() or na(x1) and timer == 'From start'
x1 := bar_index
y1 := o
y1
//~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~}
// ~~ Trend direction {
if StartTime() or timer == 'From start'
if bullsrc > trend and bullsrc <= trend
bearish.change.unshift(ta.lowest(speed, bar_index - x1))
bearish.t.unshift(bar_index - x1)
x1 := bar_index
y1 := bullsrc
pos := 1
speed := c - o
speed
if bearsrc < trend and bearsrc >= trend
bullish.change.unshift(ta.highest(speed, bar_index - x1))
bullish.t.unshift(bar_index - x1)
x1 := bar_index
y1 := bearsrc
pos := -1
speed := c - o
speed
speed := speed + c - o
speedGradient = color.from_gradient(speed, ta.min(-speed / 3), ta.max(speed / 3), color.red, color.lime)
trendspeed = ta.hma(speed, 5)
//~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~}
//~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~}
// ~~ Plots {
rma_dyn_ema(x, p) =>
average = ta.rma(dyn_ema , p)
average
colour = ta.wma(close, 2) > dyn_ema ? up_col : dn_col
fillColor = rma_dyn_ema(0, 5) > rma_dyn_ema(1, 5) ? color.new(up_col, 70) : color.new(dn_col, 70)
p1 = plot(dyn_ema, color = colour, linewidth = 2, title = 'Dynamic Trend', force_overlay = true)
p2 = plot(ta.rma(hl2, 50), display = display.none, editable = false, force_overlay = true)
//~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~}
min_speed = ta.lowest(speed, collen)
max_speed = ta.highest(speed, collen)
normalized_speed = (speed - min_speed) / (max_speed - min_speed)
speedGradient1 = speed < 0 ? color.from_gradient(normalized_speed, 0.0, 0.5, dn_hist_col, dn_hist_col_) : color.from_gradient(normalized_speed, 0.5, 1.0, up_hist_col, up_hist_col_)
plot(StartTime() or timer == 'From start' ? trendspeed : na, title = 'Trend Speed', color = speedGradient1, style = plot.style_columns)
plotcandle(open, high, low, close, color = candle ? speedGradient1 : na, wickcolor = candle ? speedGradient1 : na, bordercolor = candle ? speedGradient1 : na, force_overlay = true)
//~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~}
// ~~ Table {
if barstate.islast and tbl_
bullish_recent = bullish.change.slice(0, math.min(lookback_period, bullish.change.size()))
bearish_recent = bearish.change.slice(0, math.min(lookback_period, bearish.change.size()))
bull_max = bullish_recent.max()
bear_max = bearish_recent.min()
bull_avg = bullish_recent.avg()
bear_avg = bearish_recent.avg()
wave_size_ratio_avg = bull_avg / math.abs(bear_avg)
wave_size_text_avg = str.tostring(math.round(wave_size_ratio_avg, 2)) + 'x'
wave_size_color_avg = wave_size_ratio_avg > 0 ? color.lime : color.red
wave_size_ratio_max = bull_max / math.abs(bear_max)
wave_size_text_max = str.tostring(math.round(wave_size_ratio_max, 2)) + 'x'
wave_size_color_max = wave_size_ratio_max > 0 ? color.lime : color.red
dominance_avg_value = bull_avg - math.abs(bear_avg)
dominance_avg_text = dominance_avg_value > 0 ? 'Bullish +' + str.tostring(math.round(wave_size_ratio_avg, 2)) + 'x' : 'Bearish -' + str.tostring(math.round(1 / wave_size_ratio_avg, 2)) + 'x'
dominance_avg_color = dominance_avg_value > 0 ? color.lime : color.red
dominance_max_value = bull_max - math.abs(bear_max)
dominance_max_text = dominance_max_value > 0 ? 'Bullish +' + str.tostring(math.round(wave_size_ratio_max, 2)) + 'x' : 'Bearish -' + str.tostring(math.round(1 / wave_size_ratio_max, 2)) + 'x'
dominance_max_color = dominance_max_value > 0 ? color.lime : color.red
current_wave = speed
current_wave_color = current_wave > 0 ? color.lime : color.red
current_ratio_avg = current_wave > 0 ? current_wave / bull_avg : current_wave / math.abs(bear_avg)
current_ratio_max = current_wave > 0 ? current_wave / bull_max : current_wave / math.abs(bear_max)
current_text_avg = str.tostring(math.round(current_ratio_avg, 2)) + 'x'
current_text_max = str.tostring(math.round(current_ratio_max, 2)) + 'x'
current_color_avg = current_ratio_avg > 0 ? color.lime : color.red
current_color_max = current_ratio_max > 0 ? color.lime : color.red
var tbl = table.new(position.top_right, 3, 3, force_overlay = true)
table.cell(tbl, 0, 0, '', text_color = chart.fg_color, tooltip = '')
table.cell(tbl, 0, 1, 'Average Wave', text_color = chart.fg_color, tooltip = tt1)
table.cell(tbl, 0, 2, 'Max Wave', text_color = chart.fg_color, tooltip = tt2)
table.cell(tbl, 1, 0, 'Current Wave Ratio', text_color = chart.fg_color, tooltip = '')
table.cell(tbl, 1, 1, current_text_avg, text_color = current_color_avg, tooltip = tt3)
table.cell(tbl, 1, 2, current_text_max, text_color = current_color_max, tooltip = tt4)
table.cell(tbl, 2, 0, 'Dominance', text_color = chart.fg_color, tooltip = '')
table.cell(tbl, 2, 1, dominance_avg_text, text_color = dominance_avg_color, tooltip = tt5)
table.cell(tbl, 2, 2, dominance_max_text, text_color = dominance_max_color, tooltip = tt6)
// ─────────────────────────────────────────────────────────────
// MTF BUY/SELL alerts: 10m & 1H agreement (no logic changes)
isGreen = ta.wma(close, 2) > dyn_ema
tf_fast = input.timeframe("10", "Fast TF (Buy/Sell check)", group = "MTF Alerts")
tf_slow = input.timeframe("60", "Slow TF (Buy/Sell check)", group = "MTF Alerts")
confirm_on_close = input.bool(true, "Confirm on bar close", group = "MTF Alerts")
green_fast = request.security(syminfo.tickerid, tf_fast, isGreen, lookahead = barmerge.lookahead_off)
green_slow = request.security(syminfo.tickerid, tf_slow, isGreen, lookahead = barmerge.lookahead_off)
buyCond = green_fast and green_slow
sellCond = not green_fast and not green_slow
triggerOK = confirm_on_close ? barstate.isconfirmed : true
// Single BUY / SELL alerts (messages unchanged)
alertcondition(buyCond and triggerOK, title = "MTF BUY (10m & 1H GREEN)", message = "{{ticker}} | TF={{interval}} | Dynamic line")
alertcondition(sellCond and triggerOK, title = "MTF SELL (10m & 1H RED)", message = "{{ticker}} | TF={{interval}} | Dynamic line")
// ─────────────────────────────────────────────────────────────
// NEW: 10m status repeated EVERY MINUTE (no logic changes)
// ─────────────────────────────────────────────────────────────
// 1-minute pulse: true once per closed 1m bar
m1_pulse = request.security(syminfo.tickerid, "1", barstate.isconfirmed, lookahead = barmerge.lookahead_off)
// Repeat ONLY the 10-minute status every minute
status10_green = green_fast
status10_red = not green_fast
alertcondition(status10_green and m1_pulse, title = "10m Status GREEN — repeat each minute", message = "{{ticker}} | TF=10 | Dynamic line — GREEN")
alertcondition(status10_red and m1_pulse, title = "10m Status RED — repeat each minute", message = "{{ticker}} | TF=10 | Dynamic line — RED")
how do the trend speed anlaysis work
Motifs graphiques
A2 By Gadirov Optimized Traffic Light Signal - POS for binaryA2 By Gadirov Optimized Traffic Light Signal - POS for binary
Rolling Highest + Qualified Ghost (price-synced)[돌파]English Guide
What this indicator does
Plots a rolling highest line hh = ta.highest(src, len) that step-changes whenever the highest value inside the last len bars changes.
When a step ends after being flat for at least minHold bars (a “plateau”), it draws a short horizontal ghost line for ghostLen bars to the right at the previous step level.
By default, the ghost appears only on step-down events (behaves like a short-lived resistance trace). You can allow both directions with the onlyOnDrop setting.
Everything is rendered with plot() series (not drawing objects), bound to the right price scale → it moves perfectly with the chart.
Inputs
len — Lookback window (bars) for the rolling highest.
basis — Price basis used to compute the highest: High / Close / HLC3 / OHLC4.
minHold — Minimum plateau length (bars). Only steps that stayed flat at least this long qualify for a ghost.
ghostLen — Number of bars to keep the horizontal ghost to the right.
onlyOnDrop — If true, make ghosts only when the step moves down (default). If false, also create ghosts on step-ups.
Visuals: mainColor/mainWidth for the main rolling highest line; ghostColor/ghostTrans/ghostWidth for the ghost.
How it works (logic)
Rolling highest:
hh = ta.highest(src, len) produces a stair-like line.
Step detection:
stepUp = hh > hh
stepDown = hh < hh
startUp / startDown mark the first bar of a new step (prevents retriggering while the step continues).
Plateau length (runLen):
Counts consecutive bars where hh remained equal:
runLen := (hh == hh ) ? runLen + 1 : 1
Qualification:
On the first bar of a step change, check previous plateau length prevHold = runLen .
If prevHold ≥ minHold and direction matches onlyOnDrop, start a ghost:
ghostVal := hh (the previous level)
ghostLeft := ghostLen
Ghost series:
While ghostLeft > 0, output ghostVal; otherwise output na.
It’s plotted with plot.style_linebr so the line appears as short, clean horizontal segments instead of connecting across gaps.
Why it stays synced to price
The indicator uses overlay=true, scale=scale.right, format=format.price, and pure series plot().
No line.new() objects → no “stuck on screen” behavior when panning/zooming.
Tips & customization
If your chart is a line chart (close), set basis = Close so visuals align perfectly.
Want ghosts on both directions? Turn off onlyOnDrop.
Make ghosts subtler by increasing ghostTrans (e.g., 60–80).
If ghosts appear too often or too rarely, tune minHold and len.
Larger minHold = only long, meaningful plateaus will create ghosts.
Edge cases
If len is very small or the market is very volatile, plateaus may be rare → fewer ghosts.
If the stair level changes almost every few bars, raise len or minHold.
한글 설명서
기능 요약
최근 len개 바 기준의 롤링 최고가 hh를 그립니다. 값이 바뀔 때마다 계단식(step)으로 변합니다.
어떤 계단이 최소 minHold봉 이상 유지된 뒤 스텝이 끝나면, 직전 레벨을 기준으로 우측 ghostLen봉짜리 수평선(고스트) 을 그립니다.
기본값은 하락 스텝에서만 고스트를 생성(onlyOnDrop=true). 꺼두면 상승 스텝에서도 만듭니다.
전부 plot() 시리즈 기반 + 우측 가격 스케일 고정 → 차트와 완전히 동기화됩니다.
입력값
len — 롤링 최고가 계산 윈도우(바 수).
basis — 최고가 계산에 사용할 기준: High / Close / HLC3 / OHLC4.
minHold — 플래토(같은 값 유지) 최소 길이. 이 이상 유지된 스텝만 고스트 대상.
ghostLen — 우측으로 고스트를 유지할 바 수.
onlyOnDrop — 체크 시 하락 스텝에서만 고스트 생성(기본). 해제하면 상승 스텝도 생성.
표시 옵션: 본선(mainColor/mainWidth), 고스트(ghostColor/ghostTrans/ghostWidth).
동작 원리
롤링 최고가:
hh = ta.highest(src, len) → 계단형 라인.
스텝 변화 감지:
stepUp = hh > hh , stepDown = hh < hh
startUp / startDown 으로 첫 바만 잡아 중복 트리거 방지.
플래토 길이(runLen):
hh가 같은 값으로 연속된 길이를 누적:
runLen := (hh == hh ) ? runLen + 1 : 1
자격 판정:
스텝이 바뀌는 첫 바에서 직전 플래토 길이 prevHold = runLen 가 minHold 이상이고, 방향이 설정(onlyOnDrop)과 맞으면 고스트 시작:
ghostVal := hh (직전 레벨)
ghostLeft := ghostLen
고스트 출력:
ghostLeft > 0 동안 ghostVal을 출력, 아니면 na.
plot.style_linebr로 짧은 수평 구간만 보이게 합니다(NA 구간에서 선을 끊음).
가격과 동기화되는 이유
overlay=true, scale=scale.right, format=format.price로 가격 스케일에 고정, 그리고 모두 plot() 시리즈로 그립니다.
line.new() 같은 도형 객체를 쓰지 않아 스크롤/줌 시 화면에 박히는 현상이 없습니다.
활용 팁
차트를 라인(종가) 로 보신다면 basis = Close로 맞추면 시각적으로 더욱 정확히 겹칩니다.
고스트가 너무 자주 나오면 minHold를 올리거나 len을 키워서 스텝 빈도를 낮추세요.
고스트를 더 은은하게: ghostTrans 값을 크게(예: 60–80).
저항/지지 라인처럼 보이게 하려면 기본 설정(onlyOnDrop=true)이 잘 맞습니다.
주의할 점
변동성이 큰 종목/타임프레임에선 플래토가 짧아 고스트가 드물 수 있습니다.
len이 너무 작으면 스텝이 잦아져 노이즈가 늘 수 있습니다.
Time Cycles (90/30/10)This indicator plots hierarchical market cycles inside the 07:00 – 11:00 session (UTC-4), tailored for intraday NASDAQ trading on the 1-minute chart.
🔹 Cycles included:
90-minute cycle (primary)
30-minute cycles nested inside the 90m
10-minute cycles nested inside the 30m
🔹 Features:
Session-based: automatically resets daily at 07:00
Strict cutoff at 11:00 (no cycles extend past session close)
Adaptive box coloring to distinguish between nested cycles
Dynamic highs and lows: cycle boxes expand as new bars print
🔹 Use cases:
Visualize intraday rhythm & price structure
Spot potential turning points within nested timeframes
Enhance trade timing with cycle alignment
ORB + Prev Close — [GlutenFreeCrypto]Draws a red line at the high of the first 5 min candle, draws a green line at the bottom of the first 5 min candle, draws a grey line at midpoint. Lines extend until market close (4pm) or after-hours 98pm) or extend the next day pre-market (until 9:30am). Closing blue dotted line is drawn at closing price, and extends in after-hours and pre-market.
Multi-Timeframe Dual MA Downside DetectorThis indicator is designed to highlight potential downside moves using two customizable moving averages (MA1 and MA2) across multiple timeframes. It works on any chart and provides a visual cue when the price is trading below both selected moving averages on a red/down candle.
Key Features:
Dual Moving Averages: Supports EMA, SMA, VWMA, and HMA for both MA1 and MA2.
Multi-Timeframe Support: Each moving average can be calculated on a different timeframe, allowing higher timeframe trend context on lower timeframe charts.
Downside Detection: Highlights candles where the close is below both moving averages and forms a down candle (close < open).
Visual Signals:
Plots MA1 (orange) and MA2 (blue) on the chart.
Colors the downside candles blue when the price is below both MAs.
Customizable: Easily adjust the MA type, length, and timeframe to suit your trading style.
Usage:
Helps identify strong bearish conditions or potential pullbacks.
Can be combined with other technical analysis tools for trend confirmation.
Works across any market, instrument, or timeframe
Index Day Ranges (Selectable - Universal Live Update)it helps to show the days range so we can take decision accordingly
Elliott Wave Auto + Fib Targets + Scalper Strategy (Fixed)// Elliott Wave Auto + Fib Targets + Scalper Strategy
//
// Fixed by expert trader:
// - Replaced table with label-based visualization to avoid 'Column 2 is out of table bounds' error.
// - Uses label.new to display buy/sell signal counts in top-right corner, mimicking table layout.
// - Fixed array.sum() error: Replaced invalid range-based array.sum() with custom sum_array_range() function.
// - Removed barstate usage to fix 'Undeclared identifier barstate' error.
// - Replaced barstate.isconfirmed with true (process every bar).
// - Replaced barstate.isfirstconfirmed with bar_index == 0 (first bar).
// - Replaced strategy.alert with label.new for long/short entry signals (buy/sell markers).
// - Fixed array index out-of-bounds: Protected array.get() calls with size checks.
// - Fixed pyramiding: Set constant pyramiding=4 (max 5 entries); use allow_pyramiding to limit entries.
// - Fixed default_qty_value: Set constant default_qty_value=100.0; use entry_size_pct to scale qty.
// - Replaced alertcondition with labels for Elliott Wave patterns.
// - Fixed partial exits: 50% at TP1 with fixed SL, 50% at TP2 with fixed SL or trailing.
// - Fixed Elliott Wave pivot indexing for alternating H/L check.
// - Ensured proper position sizing and exit logic.
DBO_Prod Updated Sept 27Added News Day Support, has support for variable sizing on recoup trading. This does a opposite trade using YM in real time, but keeps MYM on historical bars.
Known bug: On the historical view, I'm getting a ghost trade causing results to be 13% inflated.
XAUUSD CSI+RSI+Delta (15m)XAUUSD 15m
Candle Stability Index: 0.4
RSI Index: 80
Candle Delta Length: 6
Disable Repeating Signals: Enabled
Jasons Bullish Reversal DetectorThis bullish reversal detector is designed to spot higher-quality turning points instead of shallow bounces. At its core, it looks for candles closing above the 20-period SMA, a MACD bullish crossover, and RSI strength above 50. On top of that, it layers in “depth” filters: price must reclaim and retest a long-term baseline (like the 200-period VWMA), momentum should confirm with RSI and +DI leading, short-term EMAs need to slope upward, and conditions like overheated ATR or strong downside ADX will block false signals. When all of these align, the script flags a depth-confirmed bullish reversal, aiming to highlight spots where structure, momentum, and volatility all support a sustainable shift upward.
IPDA Time (3, 6, 9) [Final v3]This Pine Script code defines a custom TradingView indicator called "IPDA Time (3, 6, 9)". It is designed to identify specific bars on the chart where the digital root of the current time (hour and minute) equals 3, 6, or 9, which are numbers often associated with cycles and market timing concepts in trading.
1. What the Code Does
The script calculates two main time values based on a concept known as the Digital Root (also called the "Digital Sum").
The Digital Root Function
The core logic uses a custom function, getDigitalRoot(number), which calculates the digital root of any number. The digital root is the single digit obtained by an iterative process of summing the digits of a number, repeatedly until a single digit is reached (e.g., the digital root of 48 is 4+8=12→1+2=3).
Signal Calculations
The script extracts the individual digits from the current chart's hour and minute (h, m) and performs two distinct digital root calculations:
hourPlusMinuteValue (High Confluence Check): Calculates the digital root of the sum of all four digits (two from the hour, two from the minute).
minuteOnlyValue (Minute Check): Calculates the digital root of the sum of the two minute digits only.
Logic and Signal Generation
The code generates three types of signals based on whether these digital roots equal 3, 6, or 9:
High-Importance (Green Square): Generated when BOTH the "Hour + Minute" check (isHourPlusMinuteSignal) and the "Minute Only" check (isMinuteOnlySignal) are true.
Hour + Minute Only (Blue Diamond): Generated when ONLY the "Hour + Minute" check is true.
Minute Only (Yellow Diamond): Generated when ONLY the "Minute Only" check is true.
2. Visual Output on the Chart
The indicator visualizes these signals directly on the price chart:
Signal Type Shape (Style) Color Location Additional Effect
High-Importance Square (shape.square) Green Above Bar Changes the bar's color to green (with 75% transparency).
Hour + Minute Only Diamond (shape.diamond) Blue Above Bar N/A
Minute Only Diamond (shape.diamond) Yellow Above Bar N/A
Export to Sheets
The visual markers appear above the bar/candle that corresponds to the specific time criteria being met, highlighting moments the indicator's logic deems significant.
Tools
Multi-Timeframe MACD ConfluenceMulti-Timeframe MACD Confluence Indicator
This indicator plots Buy and Sell signals based on the confluence of MACD histogram direction across three different timeframes. When the MACD histogram is bullish (above zero) on all selected timeframes, a Buy signal is triggered. When it's bearish (below zero) on all, a Sell signal is shown.
🧠 Key Features:
Customizable timeframes (default: 5min, 15min, 1hr)
Uses traditional MACD: 12/26/9 EMA
Works on any asset or timeframe
Provides visual plot signals and built-in alerts
📈 This tool is ideal for traders who rely on multi-timeframe analysis to validate trend momentum before taking entries.
Price Action [False Break+BreakOut] This indicator is designed to analyze Price Action with a focus on identifying Pivot Points and detecting Breakout and False Break signals.
Key Features:
Pivot Point Detection
Identifies Pivot High and Pivot Low points
Classifies Pivot Points into:
Higher High (HH)
Lower High (LH)
Higher Low (HL)
Lower Low (LL)
Visual Display Options
Pivot point markers (triangles)
Price values at pivot points
Support/Resistance level lines
Fractal Chaos Channel display
Average of Pivot High/Low
False Break Detection
Detects False Break signals
Customizable validation period (1-10 bars)
Option to include candle shadows in engulfing detection
Displays "FalseB!!" labels when detected
Color-coded signals (red for false break up, green for false break down)
Breakout Signals
Shows Breakout (⬆️) and Breakdown (⬇️) signals
Alert conditions for all signal types
Tracks recent breakout/breakdown levels
Main Configuration Settings:
Source data and length parameters for pivot detection
Selective display of different pivot types
Maximum bars to display
Support/Resistance level extension length
Text size customization
Technical Implementation:
Uses ta.pivothigh() and ta.pivotlow() for pivot detection
Implements bar counting for level persistence
Engulfing pattern detection for false breaks
Color-coded visual elements (teal for HH/HL, red for LH/LL)
Comprehensive alert system
Usage:
This indicator is ideal for traders using Price Action strategies, helping to identify trend reversal points, key Support/Resistance levels, and potential genuine/false breakout signals for better trade entries and exits.
Fractal Strength OscillatorThe Fractal Strength Oscillator Indicator combines the Relative Strength Index (RSI) and Fractal Dimension Index (FDI) to identify market momentum and trend direction. By integrating RSI's momentum signals with FDI's fractal-based trend analysis, this indicator provides clear visual cues for bullish and bearish conditions through colored plots and price bars.
How It Works
RSI Calculation: Computes RSI based on a user-selected price source (default: Close) over a configurable period. Optional smoothing with various moving average types (e.g., SMA, EMA, ALMA) enhances signal clarity.
FDI Calculation: Measures market complexity using a fractal dimension over a user-defined period (default: 20). A threshold (default: 1.45) determines trend strength.
Trend Logic
Bullish Signal: RSI > 55 or FDI < threshold indicates upward momentum
Bearish Signal: RSI < 45 or FDI > threshold indicates downward momentum
Customization & Parameters
RSI Parameters: RSI length, smoothing option , MA type, MA length, ALMA sigma
FDI Parameters: FDI length, trend threshold.
Trading Applications
Momentum Trading: Use RSI and FDI signals for entry/exit points.
Trend Confirmation: Bar coloring aligns with trend signals.
Reversal Detection: Identify shifts when RSI or FDI crosses thresholds
Final Note
The Fractal Strength Oscillator Indicator is a straightforward tool for traders seeking momentum and trend insights. Its combination of RSI, FDI, and visual cues supports informed trading decisions. Backtest thoroughly and use within a broader strategy. This indicator is for educational purposes and not financial advice.
Validated Order Blocks with Fib LevelsThis indicator automatically identifies and displays Smart Money Concepts (SMC) order blocks based on market structure breaks:
How it works:
Bearish Order Blocks (Red): Marks the last bullish candle before a swing high. The OB becomes valid when price breaks below the previous swing low, indicating institutional selling zones. Drawn from the candle's close (body top) to its low (bottom wick).
Bullish Order Blocks (Green): Marks the last bearish candle before a swing low. The OB becomes valid when price breaks above the previous swing high, indicating institutional buying zones. Drawn from the candle's high (top wick) to its close (body bottom).
Features:
Three Fibonacci retracement levels (50%, 75%, 100%) for each order block
Fib 100% faces downward on bearish OBs and upward on bullish OBs
Auto-validation: OBs are removed when price closes through them
Customizable: Adjustable swing detection, timeframe selection, and OB display limits
Optional Break of Structure (BOS) markers to show when OBs activate
Works on any timeframe with HTF analysis support
Perfect for identifying key institutional support/resistance zones and potential reversal areas.
A5 By Gadirov TLS Super Binary EURUSD 15mA5 By Gadirov TLS Super Binary EURUSD 15minute and 1 minute
A4 By Gadirov TLS Aggressive EURUSD 15m for binaryA4 By Gadirov TLS Aggressive EURUSD 15m for binary
A1 By Gadirov Reversal T L S - POST (Optimized) for binary By Gadirov Reversal T L S - POST (Optimized) for binary 1 minute
Trend ScalperThe Trend Scalper is a simple EMA-based trend-following and scalping indicator designed to help traders identify potential long and short trading opportunities on any timeframe. It uses a three-EMA strategy to filter trades in the direction of the prevailing trend while refining entry signals based on price reactions to the EMAs.
Here’s how it works:
It calculates three Exponential Moving Averages (EMA) with customizable lengths (default: 9, 21, and 89).
A long signal is generated when the EMAs align in bullish order (EMA1 > EMA2 > EMA3) and the price low dips into the zone between EMA1 and EMA2. This indicates a pullback into short-term support while the broader trend remains bullish.
A short signal is generated when the EMAs align in bearish order (EMA1 < EMA2 < EMA3) and the price high rises into the zone between EMA1 and EMA2. This indicates a pullback into resistance within a bearish trend.
The EMAs are plotted on the chart for visual guidance, while buy and sell signals are displayed as up and down triangles directly on price bars.
Best use practices:
The indicator works best as a trend continuation scalping tool, aiming to join established market direction after minor pullbacks.
It is most effective on liquid assets and in trending market conditions. Avoid relying on signals during sideways or choppy markets.
For confirmation, combine with volume, momentum oscillators, or higher timeframe trend analysis.
Risk management is critical: consider setting stop losses beyond EMA zones or recent swing highs/lows, and use take profits that match your risk-reward plan.
This indicator provides clean, rule-based signals that help traders time entries within the broader context of the trend. It is not a standalone strategy but a tool to assist in disciplined trade execution.
