Inside/Multiple Inside Bars Detector by Yasser R.01Multiple Inside Bars Trading System
Detects multiple inside bar patterns with visual alerts, breakout signals, and risk management levels (1:2 RR ratio). Identifies high-probability trading setups.
This indicator scans for consecutive inside bar patterns (2+ bars forming within a 'mother bar'), which often precede strong breakouts. When detected, it:
1. Draws clear reference lines showing the mother bar's high/low
2. Alerts when price breaks either level
3. Automatically calculates 1:2 risk-reward stop loss and take profit levels
4. Displays entry points with trade details
Ideal for swing traders, the system helps identify consolidation periods before potential trend continuations. Works best on 4H/Daily timeframes.
#InsideBars #BreakoutTrading #RiskManagement #SwingTrading #PriceAction
Professional-grade inside bar detector that:
✅ Identifies single AND multiple inside bar setups
✅ Provides clean visual references (lines/labels)
✅ Generates breakout signals with calculated RR levels
✅ Self-cleaning - removes old setups automatically
Use alongside trend analysis for best results. Customizable in Settings.
Bands and Channels
GoatsMACDThis is a multi-layered trend scalping tool that combines MACD cross signals with dynamic trend filters including Bollinger Bands, EMA clouds, and VWAP for clearer trend identification and trade timing.
🔍 Features:
MACD Cross Dots: Tiny dots mark MACD bullish and bearish crossovers directly on the oscillator pane.
Customizable MACD Settings: Toggle between EMA or SMA calculation for MACD, with adjustable fast/slow lengths and signal smoothing.
Bollinger Bands Overlay: Optional 420-period BB with 0.5 standard deviation for mean reversion and volatility compression.
Triple EMA Clouds:
Cloud 1: EMA 21 vs 55
Cloud 2: EMA 89 vs 120
Cloud 3: EMA 200 vs 240
Each cloud changes color based on bullish/bearish EMA relationships to confirm trend strength and direction.
VWAP Support: Plots a session-based VWAP as an additional dynamic support/resistance zone.
Alerts Included: Receive alerts on bullish or bearish MACD crossovers.
🧠 How to Use:
Use MACD dots to spot early trend shifts.
Confirm direction with the EMA clouds: trade only in alignment with cloud direction.
Use Bollinger Bands and VWAP for entries near key zones.
Ideal for scalping, trend following, or confirmation on multi-timeframe setups.
⚙️ Customizable Inputs:
Full control over MACD lengths and moving average type
Adjustable BB settings
Modify each EMA pair independently for all clouds
Bollinger Bands with Buy/Sell SignalsWhen price crosses above the upper band → green “BUY” label appears below the bar
When price crosses below the lower band → red “SELL” label appears above the bar
Early Money Flow DetectionThis indicator will help trader dectect the signal early than MFI traditional.
Inside/Multiple Inside Bars Detector by Yasser R.01Multiple Inside Bars Trading System
Detects multiple inside bar patterns with visual alerts, breakout signals, and risk management levels (1:2 RR ratio). Identifies high-probability trading setups.
This indicator scans for consecutive inside bar patterns (2+ bars forming within a 'mother bar'), which often precede strong breakouts. When detected, it:
1. Draws clear reference lines showing the mother bar's high/low
2. Alerts when price breaks either level
3. Automatically calculates 1:2 risk-reward stop loss and take profit levels
4. Displays entry points with trade details
Ideal for swing traders, the system helps identify consolidation periods before potential trend continuations. Works best on 4H/Daily timeframes.
#InsideBars #BreakoutTrading #RiskManagement #SwingTrading #PriceAction
Professional-grade inside bar detector that:
✅ Identifies single AND multiple inside bar setups
✅ Provides clean visual references (lines/labels)
✅ Generates breakout signals with calculated RR levels
✅ Self-cleaning - removes old setups automatically
Use alongside trend analysis for best results. Customizable in Settings.
Log Regression Oscillator (caN)fi(ki)=>'ra'
// This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// © fikira
//@version=6
indicator('Log Regression Oscillator', max_bars_back=5000, max_labels_count=500, max_lines_count=500, overlay=false)
________________________________________________________________________________________________________________________ ='
⎞ Settings ⎛
(__--------__) '
cGREEN = #089981, cRED = #F23645, cGRAY = #757a79
threshold = input.int (300 , minval=150)
proactive = input.bool (false )
GRE = input.color(cGREEN , 'Bull' , group='Style' )
RED = input.color(cRED , 'Bear' , group='Style' )
GRY = input.color(cGRAY , 'Unconfirmed Bull/Bear' , group='Style' )
showDsh = input.bool ( true , 'Show Dashboard' , group='Dashboard' )
dshLoc = str.replace(str.lower(input.string('Top Right', 'Location', group='Dashboard', options= )), ' ', '_')
txtSize = str.lower(input.string('Normal' , 'Size' , group='Dashboard', options= ) )
________________________________________________________________________________________________________________________ :='
⎞ Constants and general variables ⎛
(__-------------------------------__) '
INV = color(na)
n = bar_index
________________________________________________________________________________________________________________________ :='
⎞ Functions ⎛
(__---------__) '
dot(x, y)=>
if x.size() > 1 and y.size() > 1
m1 = matrix.new()
m2 = matrix.new()
m1.add_col(m1.columns(), y)
m2.add_row(m2.rows (), x)
m1.mult (m2)
.eigenvalues()
.sum()
//Closed form solution to best fit log function
log_reg(log_x, log_x2, log_y) =>
sum_log_x = log_x . sum()
sum_y = log_y . sum()
sum_log_x_y = dot(log_x ,log_y)
sum_log_x_sq = log_x2 . sum()
n_ = log_x .size()
//Closed-form solutions for a and b
a = (n_ * sum_log_x_y - sum_log_x * sum_y)
/ (n_ * sum_log_x_sq - math.pow(sum_log_x , 2))
b = ( sum_y - a * sum_log_x ) / n_
//Variables declared for draw()
var arrayarr = array.new(4, na)
proActH = false, proActL = false
var lastHi = 0., var lastLi = 0.
draw(aTop_x, aTop_x2, aTop_y, aBot_x, aBot_x2, aBot_y, top_points, prc_points, btm_points, refit) =>
var label labH = na, var label labL = na
vTop = 0.
vBtm = 0.
if refit
top_points.clear(), prc_points.clear(), btm_points.clear()
= log_reg(aTop_x, aTop_x2, aTop_y), arr.set(0, a_top), arr.set(1, b_top)
= log_reg(aBot_x, aBot_x2, aBot_y), arr.set(2, a_btm), arr.set(3, b_btm)
for i = 0 to n
top = math.exp(a_top * math.log(i) + b_top)
btm = math.exp(a_btm * math.log(i) + b_btm)
avg = math.avg(top, btm)
if i == n
vTop := top
vBtm := btm
ix = n - i
if ix < 4999
hi = high
lo = low
cl = close
getC = hi > avg ? hi : lo < avg ? lo : cl
prc_points.push(chart.point.from_index(i, 100 * math.max(-1.5, math.min(1.5, (getC - btm) / (top - btm)))))
for lab in label.all
lab.delete()
firstH = proactive ? true : false
firstL = proactive ? true : false
color colH = na, color colL = na
sz = prc_points.size()
if aTop_x.size() > 0
for i = aTop_x.size() -1 to 0
idx = int(math.exp(aTop_x.get(i)))
if idx < sz and idx > n - 5000 and idx >= 0
if firstH
if aTop_x.last() != lastHi
colH := GRY
firstH := false
else
colH := RED
else
colH := RED
top = math.exp(a_top * math.log(idx) + b_top)
btm = math.exp(a_btm * math.log(idx) + b_btm)
label.new(idx , 100 *
math.max(-1.5, math.min(1.5, (high - btm)
/ (top - btm)
) ), '●', textcolor = colH, color=INV, size=8)
if aBot_x.size() > 0
for i = aBot_x.size() -1 to 0
idx = int(math.exp(aBot_x.get(i)))
if idx < sz and idx > n - 5000 and idx >= 0
if firstL
if aBot_x.last() != lastLi
colL := GRY
firstL := false
else
colL := GRE
else
colL := GRE
top = math.exp(a_top * math.log(idx) + b_top)
btm = math.exp(a_btm * math.log(idx) + b_btm)
label.new(idx , 100 *
math.max(-1.5, math.min(1.5, (low - btm)
/ (top - btm)
) ), '●', textcolor = colL, color=INV, size=8
, style = label.style_label_up)
else
top = math.exp(arr.get(0) * math.log(n) + arr.get(1))
btm = math.exp(arr.get(2) * math.log(n) + arr.get(3))
avg = math.avg(top, btm)
vTop := top
vBtm := btm
hi = high, lo = low, cl = close
getC = hi > avg ? hi : lo < avg ? lo : cl
prc_points.push(chart.point.from_index(n, 100 * math.max(-1.5, math.min(1.5, (getC - btm) / (top - btm)))))
for poly in polyline.all
poly.delete()
if barstate.islast
labH.delete(), labH := label.new(n, 100, str.tostring(vTop, format.mintick), color=color.new(chart.fg_color, 85), textcolor=RED, style=label.style_label_lower_left, size=12)
labL.delete(), labL := label.new(n, 0, str.tostring(vBtm, format.mintick), color=color.new(chart.fg_color, 85), textcolor=GRE, style=label.style_label_upper_left, size=12)
polyline.new(prc_points.size() >= 5000 ? prc_points.slice(prc_points.size()-4999, prc_points.size()-1) : prc_points, line_color=chart.fg_color)
________________________________________________________________________________________________________________________ :='
⎞ Variables ⎛
(__---------__) '
//bool trigerring fit
refit = false
var top_points = array.new(0)
var prc_points = array.new(0)
var btm_points = array.new(0)
//Variables arrays
var peaks_y = array.new(0)
var peaks_x = array.new(0)
var peaks_x2 = array.new(0)
var btms_y = array.new(0)
var btms_x = array.new(0)
var btms_x2 = array.new(0)
var tb = table.new(dshLoc, 4, 8
, bgcolor = #1e222d
, border_color = #373a46
, border_width = 1
, frame_color = #373a46
, frame_width = 1)
________________________________________________________________________________________________________________________ :='
⎞ Exec ⎛
(__----__) '
//Top Bottom detection
max = ta.max(high)
var min = low
min := max == high ? low
: math.min(low , min)
barsmax = ta.barssince(high == max)
barsmin = ta.barssince(low == min)
if barsmax == threshold
nmax = n-barsmax
if peaks_x .size() > 0 and peaks_x.last() != lastHi
peaks_y .set(-1, math.log( max) )
peaks_x .set(-1, math.log(nmax) )
peaks_x2.set(-1, math.pow(math.log(nmax), 2))
else
peaks_y .push( math.log(max) )
peaks_x .push( math.log(nmax) )
peaks_x2.push( math.pow(math.log(nmax), 2))
lastHi := math.log(nmax)
refit := true
else
min := math.min(low , min)
if barsmin == threshold
nmin = n-barsmin
if btms_x .size() > 0 and btms_x.last() != lastLi
btms_y .set(-1, math.log(min) )
btms_x .set(-1, math.log(nmin) )
btms_x2 .set(-1, math.pow(math.log(nmin), 2))
else
btms_y .push( math.log( min) )
btms_x .push( math.log(nmin) )
btms_x2.push( math.pow(math.log(nmin), 2))
lastLi := math.log(nmin)
refit := true
chMax = ta.change(max) , chMin = ta.change(min)
if (chMax != 0 or chMin != 0) and proactive and not refit and n > threshold
= log_reg(peaks_x, peaks_x2, peaks_y)
= log_reg( btms_x, btms_x2, btms_y)
top = math.exp(a_top * math.log(n) + b_top)
btm = math.exp(a_btm * math.log(n) + b_btm)
if 100 * ((high - btm) / (top - btm)) > 90
if peaks_x.last() == lastHi
peaks_y .push(math.log(max))
peaks_x .push(math.log(n))
peaks_x2.push(math.log(n)
*math.log(n))
else
peaks_y .set(-1, math.log(max))
peaks_x .set(-1, math.log(n))
peaks_x2.set(-1, math.log(n)
* math.log(n))
arr.set(0, a_top), arr.set(1, b_top)
arr.set(2, a_btm), arr.set(3, b_btm)
refit := true
proActH := true
if 100 * ((low - btm) / (top - btm)) < 10
if btms_x.last() == lastLi
btms_y .push(math.log(min))
btms_x .push(math.log(n))
btms_x2.push(math.log(n)
*math.log(n))
else
btms_y .set(-1, math.log(min))
btms_x .set(-1, math.log(n))
btms_x2.set(-1, math.log(n)
* math.log(n))
arr.set(0, a_top), arr.set(1, b_top)
arr.set(2, a_btm), arr.set(3, b_btm)
refit := true
proActL := true
enough = peaks_x.size() > 1 and btms_x.size() > 1
if enough
draw(peaks_x, peaks_x2, peaks_y, btms_x, btms_x2, btms_y, top_points, prc_points, btm_points, refit)
else
if barstate.islast
txt = ''
if peaks_x.size() < 2
txt += str.format('{0} Top Swing', peaks_x.size())
if btms_x .size() < 2
if txt != ''
txt += ', '
txt += str.format('{0} Bottom Swing', btms_x .size())
txt += ' Change "Threshold" or timeframe for more Swings'
tb.cell(0, 0, txt, text_color=chart.fg_color, text_size=txtSize)
________________________________________________________________________________________________________________________ :='
⎞ Plot ⎛
(__----__) '
plot(n%2==0? 30 : na,'30' , color=color.new(chart.fg_color, 50), style=plot.style_linebr, display=display.pane)
plot(n%2==0? 70 : na,'70' , color=color.new(chart.fg_color, 50), style=plot.style_linebr, display=display.pane)
_100 = plot(100, 'na(100)', display=display.none)
_70 = plot( 70, 'na(70)' , display=display.none)
_60 = plot( 60, 'na(60)' , display=display.none)
_50 = plot( 50, 'na(50)' , display=display.none)
_40 = plot( 40, 'na(40)' , display=display.none)
_30 = plot( 30, 'na(30)' , display=display.none)
_00 = plot( 0, 'na(0)' , display=display.none)
fill(_100, _70, 100, 70, color.new(RED, 50), INV)
fill( _60, _50, 60, 50, INV, color.new(chart.fg_color, 85))
fill( _50, _40, 50, 40, color.new(chart.fg_color, 85), INV)
fill( _30, _00, 30, 0, INV, color.new(GRE, 75))
________________________________________________________________________________________________________________________ :='
⎞ End ⎛
(__---__) '
log regression forex and altcoin dom (caN)(0-100 Range)NO REPAİNTİNG
Stablecoin Dominance Indicator
The Stablecoin Dominance Indicator is a powerful tool designed to analyze the relative dominance of stablecoins within the cryptocurrency market. It utilizes a combination of regression analysis and standard deviation to provide valuable insights into market sentiment and potential turning points. This indicator is particularly useful for traders and investors looking to make informed decisions in the dynamic world of cryptocurrencies.
How to Read the Indicator:
The Stablecoin Dominance Indicator comprises three key lines, each serving a specific purpose:
Middle Line (Regression Line):
The middle line represents the Regression Line of stablecoin dominance, acting as a baseline showing the average or mean dominance of stablecoins in the market.
When the stablecoin dominance hovers around this middle line, it suggests a relatively stable market sentiment with no extreme overbought or oversold conditions.
Upper Line (2 Standard Deviations Above Mean):
The upper line, positioned 2 standard deviations above the Regression Line, indicates a significant deviation from the mean.
When stablecoin dominance approaches or surpasses this upper line, it may imply that the cryptocurrency market is experiencing oversold conditions, potentially signaling a market bottom. This is an opportune time for traders to consider increasing their exposure to cryptocurrencies.
Lower Line (2 Standard Deviations Below Mean):
The lower line, positioned 2 standard deviations below the Regression Line, shows a significant deviation in the opposite direction, indicating overbought conditions.
When stablecoin dominance approaches or falls below this lower line, it suggests overbought conditions in the market, possibly indicating a market top. Traders may consider reducing their cryptocurrency holdings or taking profits during this phase.
It's important to note that the Stablecoin Dominance Indicator should be used in conjunction with other analysis tools and strategies.
By understanding and applying the insights provided by this indicator, traders and investors can make more informed decisions in the ever-changing cryptocurrency landscape, potentially enhancing their trading strategies and risk management practices.
RSI Confluence - 3 Timeframes V1.1RSI Confluence – 3 Timeframes V1.1
RSI Confluence – 3 Timeframes v1.1 is a powerful multi-timeframe momentum indicator that detects RSI alignment across three timeframes. It helps traders identify high-probability reversal or continuation zones where momentum direction is synchronized, offering more reliable entry signals.
✅ Key Features:
📊 3-Timeframe RSI Analysis: Compare RSI values from current, higher, and highest timeframes.
🔁 Customizable Timeframes: Select any combination of timeframes for precision across scalping, swing, or positional trading.
🎯 Overbought/Oversold Zones: Highlights when all RSI values align in extreme zones (e.g., <30 or >70).
🔄 Confluence Filter: Confirms trend reversals or continuations only when all RSIs agree in direction.
📈 Visual Signals: Displays visual cues (such as background color or labels) when multi-timeframe confluence is met.
⚙️ Inputs:
RSI Length: Define the calculation length for RSI.
Timeframe 1 (TF1): Lower timeframe (e.g., current chart)
Timeframe 2 (TF2): Medium timeframe (e.g., 1H or 4H)
Timeframe 3 (TF3): Higher timeframe (e.g., 1D or 1W)
OB/OS Levels: Customizable RSI overbought/oversold thresholds (default: 70/30)
Show Visuals: Toggle for background color or signal markers when confluence conditions are met
📈 Use Cases:
Identify trend continuation when all RSIs support the same direction
Spot strong reversal zones with RSI agreement across TFs
Improve entry accuracy by avoiding false signals on a single timeframe
Suitable for multi-timeframe strategy confirmation
Smart Reversal Signal (Stoch + RSI + EQH/EQL) v1.1📘 Smart Reversal Signal (Stoch + RSI + EQH/EQL)
The Smart Reversal Signal v1.1 is a multi-confirmation reversal indicator that combines momentum and price action signals across timeframes. It is designed to help traders detect high-probability reversal zones based on confluence between stochastic, RSI, and key price structures.
✅ Key Features:
📊 Stochastic Crossover: Detects K and D line crossovers to identify potential overbought/oversold reversal points.
📈 RSI Signal: Confirms momentum exhaustion by checking RSI crossing above/below overbought/oversold levels.
🏛️ EQH/EQL Detection: Identifies Equal Highs (EQH) and Equal Lows (EQL) from higher timeframes as strong reversal zones.
⏱ Multi-Timeframe Lookback: Uses selected timeframe and historical depth to improve signal quality and reduce noise.
🎯 Reversal Alerts: Highlights confluence zones where multiple conditions align for a potential trend reversal.
🌐 Custom Timeframe Support: Analyze signals using data from different timeframes, regardless of current chart.
⚙️ Inputs:
Stochastic Parameters: %K, %D length and smoothing
RSI Parameters: Length, Overbought/Oversold levels
EQH/EQL Settings: Timeframe, Lookback bars
Signal Conditions: Enable/disable RSI and Stoch filter logic
📈 Use Cases:
Catch trend reversals at exhaustion points
Identify smart entry zones near EQH/EQL levels
Combine momentum + structure for higher accuracy
Adaptable for both scalping and swing trading
Auto TrendlinesAuto Trendline – Indicator Description
The Auto Trendline indicator automatically draws trendlines based on recent swing highs and lows using pivot analysis. It helps traders quickly identify short-term and long-term market trends without manual drawing.
✅ Features:
Automatic drawing of trendlines based on pivot points (highs and lows)
Custom timeframe support: Use higher timeframe pivot data while working on lower charts
Trendlines update dynamically as new pivots are formed
Lines extend only to the current bar, keeping the chart clean
⚙️ How It Works:
The indicator detects recent swing highs and lows using pivot strength
Two most recent pivot points are connected to form each trendline:
Uptrend line from two higher lows
Downtrend line from two lower highs
Trendlines are redrawn as new pivots appear
My script//@version=5
strategy("Advanced Breakout + EMA Trend Strategy ", overlay=true, default_qty_type=strategy.percent_of_equity, default_qty_value=10)
// === INPUTS === //
fastEMA_len = input.int(9, title="Fast EMA")
slowEMA_len = input.int(21, title="Slow EMA")
atrLen = input.int(14, title="ATR Length")
atr_mult_sl = input.float(1.5, title="ATR Stop Loss Multiplier")
atr_mult_tp = input.float(3.0, title="ATR Take Profit Multiplier")
consolidationBars = input.int(20, title="Consolidation Lookback")
volumeSpikeMult = input.float(1.8, title="Volume Spike Multiplier")
leverage = input.int(10, title="Leverage", minval=1)
// === CALCULATIONS === //
fastEMA = ta.ema(close, fastEMA_len)
slowEMA = ta.ema(close, slowEMA_len)
atr = ta.atr(atrLen)
rangeHigh = ta.highest(high, consolidationBars)
rangeLow = ta.lowest(low, consolidationBars)
volumeAvg = ta.sma(volume, consolidationBars)
// === MARKET CONDITIONS === //
isTrendingUp = fastEMA > slowEMA
isTrendingDown = fastEMA < slowEMA
isConsolidating = (rangeHigh - rangeLow) / close < 0.02
isBreakoutUp = close > rangeHigh and volume > volumeAvg * volumeSpikeMult
isBreakoutDown = close < rangeLow and volume > volumeAvg * volumeSpikeMult
// === ENTRY CONDITIONS === //
enterLong = isConsolidating and isBreakoutUp and isTrendingUp
enterShort = isConsolidating and isBreakoutDown and isTrendingDown
// === EXIT PRICES === //
longSL = close - atr * atr_mult_sl
longTP = close + atr * atr_mult_tp
shortSL = close + atr * atr_mult_sl
shortTP = close - atr * atr_mult_tp
// === ENTRY/EXIT EXECUTION === //
if (enterLong)
strategy.entry("Long", strategy.long, comment="Long Entry")
strategy.exit("TP/SL Long", from_entry="Long", stop=longSL, limit=longTP)
if (enterShort)
strategy.entry("Short", strategy.short, comment="Short Entry")
strategy.exit("TP/SL Short", from_entry="Short", stop=shortSL, limit=shortTP)
// === CHART PLOTTING === //
plot(fastEMA, color=color.green, title="Fast EMA")
plot(slowEMA, color=color.red, title="Slow EMA")
plotshape(enterLong, title="Long Entry", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY")
plotshape(enterShort, title="Short Entry", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL")
// === ALERT MESSAGES === //
alertcondition(enterLong, title="Long Signal", message="Long Entry Signal: BUY at {{close}} | Leverage: " + str.tostring(leverage))
alertcondition(enterShort, title="Short Signal", message="Short Entry Signal: SELL at {{close}} | Leverage: " + str.tostring(leverage))
Dynamic Flow Ribbons [BigBeluga]🔵 OVERVIEW
A dynamic multi-band trend visualization system that adapts to market volatility and reveals trend momentum with layered ribbon channels.
Dynamic Flow Ribbons transforms price action into flowing trend bands that expand and contract with volatility. It not only shows the active directional bias but also visualizes how strong or weak the trend is through layered ribbons, making it easier to assess trend quality and structure.
🔵 CONCEPTS
Uses an adaptive trend detection system built on a volatility envelope derived from an EMA of the average price (HLC3).
Measures volatility using a long-period average of the high-low range, which scales the envelope width dynamically.
Trend direction flips when the average price crosses above or below these envelopes.
Ribbons form around the trend line to show how far price is stretching or compressing relative to the mean.
🔵 FEATURES
Volatility-Based Trend Line:
A thick, color-coded line tracks the current trend with smoother transitions between phases.
Multi-Layered Flow Ribbons:
Up to 10 bands (5 above and 5 below) radiate outward from the upper and lower envelopes, reflecting volatility strength and direction.
Trend Coloring & Transitions:
Ribbons and candles are dynamically colored based on trend direction— green for bullish , orange for bearish . Transparency fades with distance from the core trend band.
Real-Time Responsiveness:
Ribbon structure and trend shifts update in real time, adapting instantly to fast market changes.
🔵 HOW TO USE
Use the color and thickness of the core trend line to follow directional bias.
When ribbons widen symmetrically, it signals strong trend momentum .
Narrowing or overlapping ribbons can suggest consolidation or transition zones .
Combine with breakout systems or volume tools to confirm impulsive or corrective phases .
Adjust the “Length” (factor) input to tune sensitivity—higher values smooth trends more.
🔵 CONCLUSION
Dynamic Flow Ribbons offers a sleek and insightful view into trend strength and structure. By visualizing volatility expansion with directional flow, it becomes a powerful overlay for momentum traders, swing strategists, and trend followers who want to stay ahead of evolving market flows
KEY MARKET SESSION EU/US RANGE LEVELS - KLT🔹 KEY MARKET SESSION EU/US RANGE LEVELS - KLT
This indicator highlights critical trading levels during the European and U.S. sessions, with Overbought (OB) and Oversold (OS) markers derived from each session's price range.
It’s designed to support traders in identifying key zones of interest and historical price reactions across sessions.
✳️ Features
🕒 Session Recognition
European Session (EU): 08:00 to 14:00 UTC
United States Session (US): 14:30 to 21:00 UTC
The indicator automatically detects the current session and updates levels in real time.
📈 Overbought / Oversold (OB/OS) Levels
Helps identify potential reversal or reaction zones.
🔁 Previous Session OB/OS Crosses
OB/OS levels from the previous session are plotted as white crosses during the opposite session:
EU OB/OS shown during the US session
US OB/OS shown during the EU session
These levels act as potential price targets or reaction areas based on prior session behavior.
🎨 Session-Based Color Coding
EU Session
High/Low: Orange / Fuchsia
OB/OS: Orange / Lime
Previous OB/OS: White crosses during the US session
US Session
High/Low: Aqua / Teal
OB/OS: Aqua / Lime
Previous OB/OS: White crosses during the EU session
🧠 How to Use
Use the OB/OS levels to gauge potential turning points or extended moves.
Watch for previous session crosses to spot historically relevant zones that may attract price.
Monitor extended High/Low lines as potential magnets for price continuation.
🛠 Additional Notes
No repainting; levels are session-locked and tracked in real time.
Optimized for intraday strategies, scalping, and session-based planning.
Works best on assets with clear session behavior (e.g., forex, indices, major commodities).
⚠️ Disclaimer
This tool is intended for educational purposes. Always manage risk appropriately and use confluence with other analysis tools.
🔐 Copyright © KEY LEVELS TRADING
Eliora Phase 4.2.2 – Precision Bloom Mode | DAX 5minPhase shifts and market cohesion using math. Sure! Let’s break down the **simple trading bot concept** for **TradingView** step by step, focusing on the logic, purpose, and key elements of the strategy. This bot uses a **trend-following strategy** combined with **risk management** to automate trades based on moving averages and the RSI indicator.
---
### **Trading Bot Concept:**
#### **Objective:**
The primary objective of this bot is to **identify trends** and **execute buy and sell orders** based on those trends, while also ensuring **risk management** through stop-loss and take-profit levels.
The bot uses two **core indicators**:
* **Exponential Moving Averages (EMAs)**: To identify the trend direction.
* **Relative Strength Index (RSI)**: To filter out overbought and oversold conditions, helping avoid entering trades during extreme market conditions.
---
### **Key Components:**
#### 1. **Exponential Moving Averages (EMA)**
* **50-period EMA** (Short-Term Trend): Tracks the price's movement in the recent past, offering more weight to recent prices. This helps the bot react quicker to short-term market shifts.
* **200-period EMA** (Long-Term Trend): Represents the broader market trend, helping the bot assess the overall market direction.
**Buy Signal**:
* A buy signal is triggered when the **50-period EMA crosses above** the **200-period EMA** (a **bullish crossover**), suggesting that the market is entering an uptrend.
**Sell Signal**:
* A sell signal is triggered when the **50-period EMA crosses below** the **200-period EMA** (a **bearish crossover**), indicating that the market might be reversing into a downtrend.
#### 2. **Relative Strength Index (RSI)**
* **RSI** is a momentum oscillator that measures the speed and change of price movements, indicating whether an asset is overbought or oversold.
* **Buy Condition**: The bot only takes buy trades if the **RSI is above 30**. This ensures that the market isn't in an **oversold** condition, which could indicate a potential reversal.
* **Sell Condition**: The bot will only take sell actions if the **RSI is below 70**, avoiding trades during **overbought** conditions where prices might be excessively high.
---
### **How the Bot Works:**
1. **Buy Signal Conditions:**
* The **50-period EMA** crosses **above** the **200-period EMA** (bullish crossover), indicating the potential start of an uptrend.
* The **RSI is above 30**, ensuring that the market isn’t oversold and a reversal isn’t imminent.
* If both of these conditions are true, the bot will **enter a long (buy) position**.
2. **Sell Signal Conditions:**
* The **50-period EMA** crosses **below** the **200-period EMA** (bearish crossover), signaling that the market might be transitioning into a downtrend.
* The **RSI is below 70**, meaning the market isn’t in an overbought state and the sell-off is not due to excessive bullish momentum.
* If both of these conditions are met, the bot will **exit** any long position (i.e., sell).
---
### **Risk Management:**
To protect against significant losses, the bot includes two essential features of **risk management**:
1. **Stop-Loss**:
* The bot will automatically **exit the trade if the price moves against it by 2%** (or another user-defined percentage). This minimizes potential losses in case the market moves unfavorably after entry.
2. **Take-Profit**:
* The bot will automatically **exit the trade once it reaches a profit of 5%** (or another user-defined percentage). This locks in profits if the market moves favorably.
---
### **Script Breakdown:**
Here’s the **key flow** of the Pine Script:
1. **Define Parameters**: The script begins by defining input values for the **EMA periods** and **RSI length**. It also defines the **RSI overbought (70)** and **RSI oversold (30)** levels.
2. **Calculate the EMAs and RSI**:
* The 50-period and 200-period **EMAs** are calculated using the `ta.ema()` function.
* The **RSI** is calculated using `ta.rsi()`, and it helps determine if the asset is overbought or oversold.
3. **Trading Conditions**:
* A buy signal is generated when the **short-term EMA crosses above** the **long-term EMA** and the RSI is **above 30**.
* A sell signal is triggered when the **short-term EMA crosses below** the **long-term EMA** and the RSI is **below 70**.
4. **Strategy Execution**:
* When the buy condition is met, the bot **enters a long position** using `strategy.entry()`.
* When the sell condition is met, the bot **closes the position** using `strategy.close()`.
5. **Risk Management**:
* The `strategy.exit()` function is used to set **stop-loss** and **take-profit** values. If the price moves **2% against** the trade, the bot will exit. If it moves **5% in favor**, it will lock in profits.
---
### **Visual Elements**:
1. **EMAs**:
* The **50-period EMA** is plotted in **green**.
* The **200-period EMA** is plotted in **red**.
2. **RSI**:
* The **RSI line** is plotted in **blue** on a separate pane below the main chart.
* Horizontal lines mark the **overbought** (70) and **oversold** (30) levels, helping visualize potential reversal zones.
3. **Buy and Sell Signals**:
* When the bot triggers a buy, a **green arrow** appears on the chart.
* When it triggers a sell, a **red arrow** appears on the chart.
---
### **How to Use the Bot on TradingView:**
1. **Go to TradingView** and open a chart of the asset you want to trade.
2. **Click on the "Pine Editor"** tab at the bottom.
3. **Paste the script** provided into the editor.
4. **Click "Add to Chart"** to see the strategy in action.
5. The bot will begin executing trades based on the logic described and display buy/sell signals directly on the chart.
---
### **Advantages of This Strategy**:
* **Trend-Following**: This bot is based on the classic moving average crossover strategy, which is effective in trending markets.
* **Simple and Clear**: The logic is easy to follow and understand, making it beginner-friendly.
* **Built-in Risk Management**: The stop-loss and take-profit functionality ensures that the bot limits potential losses and locks in profits automatically.
* **Customizable**: You can easily tweak the parameters (e.g., EMA periods, RSI levels, stop-loss, take-profit) to fit different timeframes or market conditions.
---
### **Limitations**:
* **Sideways Markets**: The bot might struggle in flat or sideways markets because moving average crossovers can produce false signals.
* **No Advanced Features**: It doesn’t incorporate more advanced strategies like **momentum indicators**, **news sentiment**, or **machine learning models** for decision-making.
---
### **In Conclusion:**
This is a **basic but effective trend-following trading bot** that you can deploy on TradingView with minimal effort. It provides a great foundation for traders who want to automate a simple strategy with **risk management**, while offering plenty of room for customization and improvement.
Let me know if you want to explore more complex features or strategies, or if you need help tweaking the bot for specific assets or markets!
SPX Weekly Expected Moves# SPX Weekly Expected Moves Indicator
A professional Pine Script indicator for TradingView that displays weekly expected move levels for SPX based on real options data, with integrated Fibonacci retracement analysis and intelligent alerting system.
## Overview
This indicator helps options and equity traders visualize weekly expected move ranges for the S&P 500 Index (SPX) by plotting historical and current week expected move boundaries derived from weekly options pricing. Unlike theoretical volatility calculations, this indicator uses actual market-based expected move data that you provide from options platforms.
## Key Features
### 📈 **Expected Move Visualization**
- **Historical Lines**: Display past weeks' expected moves with configurable history (10, 26, or 52 weeks)
- **Current Week Focus**: Highlighted current week with extended lines to present time
- **Friday Close Reference**: Orange baseline showing the previous Friday's close price
- **Timeframe Independent**: Works consistently across all chart timeframes (1m to 1D)
### 🎯 **Fibonacci Integration**
- **Five Fibonacci Levels**: 23.6%, 38.2%, 50%, 61.8%, 76.4% between Friday close and expected move boundaries
- **Color-Coded Levels**:
- Red: 23.6% & 76.4% (outer levels)
- Blue: 38.2% & 61.8% (golden ratio levels)
- Black: 50% (midpoint - most critical level)
- **Current Week Only**: Fibonacci levels shown only for active trading week to reduce clutter
### 📊 **Real-Time Information Table**
- **Current SPX Price**: Live market price
- **Expected Move**: ±EM value for current week
- **Previous Close**: Friday close price (baseline for calculations)
- **100% EM Levels**: Exact upper and lower boundary prices
- **Current Location**: Real-time position within the EM structure (e.g., "Above 38.2% Fib (upper zone)")
### 🚨 **Intelligent Alert System**
- **Zone-Aware Alerts**: Separate alerts for upper and lower zones
- **Key Level Breaches**: Alerts for 23.6% and 76.4% Fibonacci level crossings
- **Bar Close Based**: Alerts trigger on confirmed bar closes, not tick-by-tick
- **Customizable**: Enable/disable alerts through settings
## How It Works
### Data Input Method
The indicator uses a **manual data entry approach** where you input actual expected move values obtained from options platforms:
```pinescript
// Add entries using the options expiration Friday date
map.put(expected_moves, 20250613, 91.244) // Week ending June 13, 2025
map.put(expected_moves, 20250620, 95.150) // Week ending June 20, 2025
```
### Weekly Structure
- **Monday 9:30 AM ET**: Week begins
- **Friday 4:00 PM ET**: Week ends
- **Lines Extend**: From Monday open to Friday close (historical) or current time + 5 bars (current week)
- **Timezone Handling**: Uses "America/New_York" for proper DST handling
### Calculation Logic
1. **Base Price**: Previous Friday's SPX close price
2. **Expected Move**: Market-derived ±EM value from weekly options
3. **Upper Boundary**: Friday Close + Expected Move
4. **Lower Boundary**: Friday Close - Expected Move
5. **Fibonacci Levels**: Proportional levels between Friday close and EM boundaries
## Setup Instructions
### 1. Data Collection
Obtain weekly expected move values from options platforms such as:
- **ThinkOrSwim**: Use thinkBack feature to look up weekly expected moves
- **Tastyworks**: Check weekly options expected move data
- **CBOE**: Reference SPX weekly options data
- **Manual Calculation**: (ATM Call Premium + ATM Put Premium) × 0.85
### 2. Data Entry
After each Friday close, update the indicator with the next week's expected move:
```pinescript
// Example: On Friday June 7, 2025, add data for week ending June 13
map.put(expected_moves, 20250613, 91.244) // Actual EM value from your platform
```
### 3. Configuration
Customize the indicator through the settings panel:
#### Visual Settings
- **Show Current Week EM**: Toggle current week display
- **Show Past Weeks**: Toggle historical weeks display
- **Max Weeks History**: Choose 10, 26, or 52 weeks of history
- **Show Fibonacci Levels**: Toggle Fibonacci retracement levels
- **Label Controls**: Customize which labels to display
#### Colors
- **Current Week EM**: Default yellow for active week
- **Past Weeks EM**: Default gray for historical weeks
- **Friday Close**: Default orange for baseline
- **Fibonacci Levels**: Customizable colors for each level type
#### Alerts
- **Enable EM Breach Alerts**: Master toggle for all alerts
- **Specific Alerts**: Four alert types for Fibonacci level breaches
## Trading Applications
### Options Trading
- **Straddle/Strangle Positioning**: Visualize breakeven levels for neutral strategies
- **Directional Plays**: Assess probability of reaching target levels
- **Earnings Plays**: Compare actual vs. expected move outcomes
### Equity Trading
- **Support/Resistance**: Use EM boundaries and Fibonacci levels as key levels
- **Breakout Trading**: Monitor for moves beyond expected ranges
- **Mean Reversion**: Look for reversals at extreme Fibonacci levels
### Risk Management
- **Position Sizing**: Gauge likely price ranges for the week
- **Stop Placement**: Use Fibonacci levels for logical stop locations
- **Profit Targets**: Set targets based on EM structure probabilities
## Technical Implementation
### Performance Features
- **Memory Managed**: Configurable history limits prevent memory issues
- **Timeframe Independent**: Uses timestamp-based calculations for consistency
- **Object Management**: Automatic cleanup of drawing objects prevents duplicates
- **Error Handling**: Robust bounds checking and NA value handling
### Pine Script Best Practices
- **v6 Compliance**: Uses latest Pine Script version features
- **User Defined Types**: Structured data management with WeeklyEM type
- **Efficient Drawing**: Smart line/label creation and deletion
- **Professional Standards**: Clean code organization and comprehensive documentation
## Customization Guide
### Adding New Weeks
```pinescript
// Add after market close each Friday
map.put(expected_moves, YYYYMMDD, EM_VALUE)
```
### Color Schemes
Customize colors for different trading styles:
- **Dark Theme**: Use bright colors for visibility
- **Light Theme**: Use contrasting dark colors
- **Minimalist**: Use single color with transparency
### Label Management
Control label density:
- **Show Current Week Labels Only**: Reduce clutter for active trading
- **Show All Labels**: Full information for analysis
- **Selective Display**: Choose specific label types
## Troubleshooting
### Common Issues
1. **No Lines Appearing**: Check that expected move data is entered for current/recent weeks
2. **Wrong Time Display**: Ensure "America/New_York" timezone is properly handled
3. **Duplicate Lines**: Restart indicator if drawing objects appear duplicated
4. **Missing Fibonacci Levels**: Verify "Show Fibonacci Levels" is enabled
### Data Validation
- **Expected Move Format**: Use positive numbers (e.g., 91.244, not ±91.244)
- **Date Format**: Use YYYYMMDD format (e.g., 20250613)
- **Reasonable Values**: Verify EM values are realistic (typically 50-200 for SPX)
## Version History
### Current Version
- **Pine Script v6**: Latest version compatibility
- **Fibonacci Integration**: Five-level retracement analysis
- **Zone-Aware Alerts**: Upper/lower zone differentiation
- **Dynamic Line Management**: Smart current week extension
- **Professional UI**: Comprehensive information table
### Future Enhancements
- **Multiple Symbols**: Extend beyond SPX to other indices
- **Automated Data**: Integration with options data APIs
- **Statistical Analysis**: Success rate tracking for EM predictions
- **Additional Levels**: Custom percentage levels beyond Fibonacci
## License & Usage
This indicator is designed for educational and trading purposes. Users are responsible for:
- **Data Accuracy**: Ensuring correct expected move values
- **Risk Management**: Proper position sizing and risk controls
- **Market Understanding**: Comprehending options-based expected move concepts
## Support
For questions, issues, or feature requests related to this indicator, please refer to the code comments and documentation within the Pine Script file.
---
**Disclaimer**: This indicator is for informational purposes only. Trading involves substantial risk of loss and is not suitable for all investors. Past performance does not guarantee future results.
BackToBasic XEMAบทความอธิบายสคริปต์ “BackToBasic XEMA”
ภาษาไทย
แนวคิดโดยย่อ
BackToBasic XEMA เกิดจากแนวคิด “กลับสู่พื้นฐานแต่เพิ่มประโยชน์” โดยใช้สัญญาณ EMA Crossover เป็นแกนหลัก แล้วต่อยอดด้วยการแสดงกำไร/ขาดทุนจริง (PnL) และเส้น Trailing Stop แนวนอน เพื่อช่วยวัดประสิทธิภาพและป้องกันการคืนกำไร
กลไกการทำงาน
Dual EMA – คำนวณ EMA สองเส้น (Fast และ Slow)
Crossover Signal – ออกสัญญาณ Buy เมื่อ Fast ตัดขึ้น Slow และ Sell เมื่อ Fast ตัดลง Slow
PnL Lines & Labels – เมื่อทิศทางกลับตัว ระบบจะคำนวณส่วนต่างราคา × จำนวน Contracts แล้ววาดเส้นเชื่อมจุดเข้า–ออก พร้อมป้ายกำไร/ขาดทุนสีเขียว / แดง
Horizontal Trailing Stop – เมื่อราคาวิ่งไปทางกำไรเกิน trailStartPips ระบบจะสร้างเส้น Trail ห่างจาก EMA อ้างอิงด้วย trailBufferPips และเลื่อนเฉพาะในทางที่ล็อกกำไร
การตั้งค่าใช้งาน (สรุปเป็นคำอธิบาย)
ปรับค่า Fast/Slow EMA ให้สัมพันธ์กับกรอบเวลาและความผันผวนของสินทรัพย์
กรอกจำนวน Contracts ตามขนาดโพซิชันจริงเพื่อให้ค่า PnL สมจริง
ค่า Trail เริ่มต้นเหมาะกับกราฟ 1 ชั่วโมงขึ้นไป หากเทรดสั้นอาจลด trailStartPips และ trailBufferPips
แนะนำใช้กับสินทรัพย์สภาพคล่องสูง (คู่เงินหลัก, XAUUSD, ดัชนี) และทดสอบบนบัญชีเดโมก่อนเสมอ
จุดเด่นเมื่อเทียบกับ EMA Crossover พื้นฐาน
เห็นผลกำไร/ขาดทุนของแต่ละการเทรดทันที ไม่ต้องคำนวณย้อนหลัง
มีเส้น Trailing Stop แนวนอนช่วยล็อกกำไรและจำกัดขาดทุน
เปิด–ปิดฟังก์ชัน PnL และ Trailing ได้จากหน้าตั้งค่า ไม่ยุ่งยาก
ข้อจำกัดและคำเตือน
ไม่เหมาะกับกราฟแบบ Heikin Ashi หรือ Renko เพราะอาจเกิด repaint
PnL คำนวณจากส่วนต่างราคาเท่านั้น ไม่รวมค่าคอมมิชชันหรือสลิปเพจ
ผลลัพธ์ในอดีตไม่รับประกันอนาคต ควรจัดการความเสี่ยงและทดลองก่อนใช้งานจริง
ลิขสิทธิ์
สคริปต์นี้พัฒนาใหม่ทั้งหมดโดย , © 2025
English
Concept
BackToBasic XEMA extends a classic EMA-crossover setup with real-time profit-and-loss tracking and a horizontal trailing-stop line, giving traders both clear entry/exit signals and built-in risk management.
How It Works
Dual EMAs – Calculates Fast and Slow EMAs.
Crossover Signals – Generates a Buy when the Fast EMA crosses above the Slow EMA, and a Sell when it crosses below.
PnL Lines & Labels – On every direction flip the script computes price difference × contracts, draws a line from entry to exit, and labels the result in green (profit) or red (loss).
Horizontal Trailing Stop – After price moves in profit by at least trailStartPips, a trail line is placed trailBufferPips away from the chosen EMA and moves only in the trade’s favour.
Practical Settings (plain-language guide)
Adjust Fast/Slow EMA lengths to suit your timeframe and the instrument’s volatility.
Enter your position size in Contracts so PnL lines reflect real cash values.
For shorter timeframes, lower trailStartPips and trailBufferPips; for swing trading, larger values work better.
Best used on 1-hour-and-above charts of liquid symbols (major FX pairs, gold, indices). Forward-test on demo first.
Advantages over a Basic EMA Cross
Instant visual feedback on each trade’s profit or loss.
Built-in horizontal trailing stop to lock in gains and limit downside.
Modular design – PnL and trailing features can be toggled on or off in the input panel.
Limitations & Disclaimer
Not repaint-safe on non-standard chart types such as Heikin Ashi or Renko.
PnL lines show raw price change only; commissions and slippage are not included.
Past performance does not guarantee future results – trade responsibly and test thoroughly.
License
Original Pine Script by , © 2025
20 MA with ATRThis indicator overlays a Moving Average (SMA or EMA) on the chart, along with dynamic upper and lower bands based on the Average True Range (ATR). It's designed to help you track long-term trend direction and volatility zones with clarity — ideal for monthly or higher timeframe analysis.
What It Does ?
Plots a Simple or Exponential Moving Average (MA) of a chosen price (default is Low).
Adds two dynamic bands:
Upper Band = MA + ATR
Lower Band = MA - ATR
Uses ATR (Average True Range) to represent market volatility and distance from the moving average.
Why Use This?
This indicator blends trend and volatility awareness into a single view:
Use the MA as a long-term trend guide.
Use the ATR bands to identify:
Potential buy zones near lower band during uptrends.
Caution zones near upper band where price may be extended.
On monthly charts, this helps long-term investors spot deep-value or extended price levels based on both trend and volatility.
Customizable Inputs
MA Type: SMA or EMA
MA Length: Default is 20 periods (great for monthly swing cycles)
ATR Length: Default is 14 (standard volatility window)
Input Source: Use Low, Close, or any price point for flexibility
Suggested Use (Monthly Charts)
Track when price pulls back toward the lower ATR band for potential accumulation zones.
Monitor breakouts above the upper ATR band as signs of momentum continuation.
Spot trend exhaustion when price hugs an ATR band for too long.
Ideal For:
Long-term investors and swing traders
Value buyers looking for low-risk re-entries in trends
Portfolio positioning during market extremes
Trend Strength Oscillator📌 What Is the Trend Strength Oscillator?
The Trend Strength Oscillator is a visual tool that helps traders understand the overall direction and strength of the market trend. Instead of using multiple indicators separately, this tool combines three trusted methods into one clear, color-coded bar chart. The bars change based on whether the market is strongly trending up, down, or just moving sideways.
Imagine it as a traffic light for trading:
• Green means it’s safe to consider buying (strong uptrend).
• Red means consider selling or avoiding longs (strong downtrend).
• Gray means wait, the market isn’t clearly trending.
🧠 How It Works — The 3 Main Components
1. EMA Slope
The EMA (Exponential Moving Average) tracks the average price but reacts more quickly to changes. If the EMA is rising, it means the market is likely moving upward. If it’s falling, the trend is likely downward.
2. RSI Direction
RSI (Relative Strength Index) measures momentum. This tool compares the RSI to its smoothed average. If the RSI is above its average, momentum is up. If it’s below, momentum is down.
3. ADX Strength
ADX (Average Directional Index) measures how strong a trend is, not the direction. So even if EMA and RSI agree on a trend, the ADX must confirm it’s strong enough to be worth trading.
Only when all three indicators agree do we consider it a strong trend.
🧮 What the Oscillator Shows
The result of combining those components is a number that becomes a colored bar:
• +2 means all three signals are bullish → green bar.
• -2 means all three signals are bearish → red bar.
• Anything else (e.g., mixed signals or weak ADX) → gray bar.
This makes the chart super easy to read at a glance, even for beginners.
📈 How to Use It in Trading
You can use the Trend Strength Oscillator in a few simple ways:
• Entering Trades:
Look for a green bar when you want to buy or go long. Look for a red bar when you want to sell or go short. These bars mean all systems are “go” in the same direction.
• Avoiding Mistakes:
If the bar is gray, it’s a warning that the market is undecided or weak. It’s often better to wait for a clearer signal rather than force a trade.
• Managing Existing Trades:
If you’re in a trade and the bar color shifts back to gray, that can be a clue that the trend is losing strength. You might tighten your stop-loss or take some profit.
🧭 Final Thoughts
This indicator doesn’t give you a trade entry every few minutes. Instead, it helps you stay on the right side of strong moves and avoid choppy or sideways markets. It’s especially helpful for:
• Trend-following traders
• People who want clean, simple visuals
• Beginners who get overwhelmed with too many indicators
Let me know if you'd like to see this paired with another tool like volume or MACD, or if you’d like a chart screenshot to visualize how this looks live.
SMA-Trend Box + Price-Status Box [BullishBearVentures]Combination of current trend and price status displayed in text boxes. The price status indicates if current price is in-range, overbought, or oversold.
RSI Divergence + Stochastic (Multi-TF)This indicator builds on the original “ RSI Overbought/Oversold + Divergence Indicator” by seoco This version is re-styled and optimized for clearer table display and easier workflow for active traders.
Key Features & Updates
All original logic and divergence detection preserved.
Modern, accessible color scheme for clarity on dark mode charts (gold, burgundy, aqua, silver).
Table default timeframes optimized for crypto: 23m, 90m, 6h, and 1D.
Expanded and cleaned-up RSI info table: More columns, tighter alignment, and enhanced historical RSI display.
Optional Stochastic RSI overlay.
All table and signal visuals fully user-configurable (timeframes, colors, location, font size).
No changes to divergence formulas or RSI calculation—this remains 1:1 with the original author’s intent.
This version is intended as a visual/UI update for more convenient crypto scanning, not as a core algorithm change.
Feedback and suggestions are welcome
