Narrow Range + Inside Day, Long Only Strategy (by ChartArt)This long only strategy determines when there is both a NR7 (narrow range 7, a trading day in which the range is narrower than any of the previous six days), plus a inside day (high of the current day is lower than the high of the previous day and the low of the current day is higher than the low of the previous day) both on the same trading day and enters a long trade when the close is larger than the open and the slope of the simple moving average is upwards, too.
The strategy closes the long trade next time the daily close is larger than the open in any of the next trading days. In addition the NR7ID can be colored (the color is green when the close is larger that day than the open, else the color is red) and the SMA can be drawn with a color based on the direction of the SMA slope. To fine-tune the strategy it is highly recommended to change the period length of the SMA, which determines if the measured SMA slope is upwards or not.
Inspiration:
How to trade NR7 and Inside Day Pattern
paststat.com
Code credit:
NR7 indicator script from Tradingview user Lazybear:
pastebin.com
在腳本中搜尋"chart"
The Always Winning Holy Grail Strategy - Not (by ChartArt)How to win all the time if 1+1 = 2
The most upvoted strategies on Tradingview are those which seemingly work 100%, but they actually don't at all because they are repainting and would not work in live trading reality. They are using the multi-time-frame strategy testing bug and thereby trade during the backtest on close prices before the bar has closed in reality.
Top list of these cheating repainting strategies:
1569 upvotes ANN Strategy
877 upvotes Vdub FX SniperVX3 Strategy
481 upvotes Get Trend Strategy
I guess there are much more strategies among the top upvoted strategies on Tradingview which cheat with a multi-time-frame close price, but three examples are enough. The ANN Strategy uses the daily close price as multi-time-frame and cheats with that. The Vdub FX SniperVX3 Strategy uses the half-day (720 minute) close price to cheat and the Get Trend Strategy uses the 160 minute bar close for repaint cheating (at least here the author of this strategy explains that his strategy is only demo and would not work, which might be the reason why it has 1000 less upvotes than the ANN Strategy. I already wrote months ago a comment underneat these strategies to explain this issue but it hasn't stopped these strategies from getting more and more upvotes and staying in the top list.
I thought this way of cheating is lame, so I invented a new way to cheat my way to seemingly reach 100% profitable trades all the time by going long if 1+1 is equal to 2. Welcome to super wide stop losses. Simply use a extreme unrealistic large stop loss and take profit after a realistic amount of pips and according to Tradingview's current backtest module you win 100% all the time. Yay! :)
My recommendation for the Tradingview team is to add a function to let the user define a stop out and margin call level and maybe set a realistic setting as default, like 100%.
Please don't trade with this strategy!
Buy Tuesday Strategy (by ChartArt)This strategy is as simple as possible: Every Tuesday a new long trade is opened, when Monday (yesterday) closed higher than it opened the week. The strategy closes all orders when the next close is larger than the open.
This strategy does not have any other stop loss or take profit money management logic and is therefore VERY risky, because it always waits to close all orders until the close is larger than the open. I recommend to mainly use it to find stocks or assets which are trending higher and are following this very basic trading idea.
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P.S. The code of the strategy does not work on digital assets like Bitcoin, Litecoin or Ethereum, which are traded every day including Saturday and Sunday, because the code checks if Monday was preceded by a Friday (and not by a Sunday and Saturday).
Fractal Breakout Strategy (by ChartArt)This long only strategy determines the price of the last fractal top and enters a trade when the price breaks above the last fractal top. The strategy also calculates the average price of the last fractal tops to get the trend direction. The strategy exits the long trade, when the average of the fractal tops is falling (when the trend is lower highs as measured by fractals). And the user can manually set a time delay of this exit condition. The default setting is a long strategy exit always 3 bars after the long entry condition appeared.
In addition as gimmicks the fractals tops can be highlighted (the default is blue) and a line can be drawn based on the fractal tops.This fractal top line is colored by the fractal top average trend in combination with the fractal breakout condition.
This strategy works better on higher time-frames (weekly and monthly), but it also works on the daily and some other time-frames. This strategy does not repaint, no repainting.
P.S. I thank Tradingview user barracuda who helped me with the time based exit condition code. And user RicardoSantos for coding the definition of the fractal top, which he uses in his " Fractals" scripts.
All trading involves high risk; past performance is not necessarily indicative of future results. Hypothetical or simulated performance results have certain inherent limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not actually been executed, the results may have under- or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown.
Daily Close Comparison Strategy (by ChartArt via sirolf2009)Comparing daily close prices as a strategy.
This strategy is equal to the very popular "ANN Strategy" coded by sirolf2009(1) which calculates the percentage difference of the daily close price, but this bar-bone version works completely without his Artificial Neural Network (ANN) part.
Main difference besides stripping out the ANN is that my version uses close prices instead of OHLC4 prices, because they perform better in backtesting. And the default threshold is set to 0 to keep it simple instead of 0.0014 with a larger step value of 0.001 instead of 0.0001. Just like the ANN strategy this strategy goes long if the close of the current day is larger than the close price of the last day. If the inverse logic is true, the strategy goes short (last close larger current close). (2)
This basic strategy does not have any stop loss or take profit money management logic. And I repeat, the credit for the fundamental code idea goes to sirolf2009.
(2) Because the multi-time-frame close of the current day is future data, meaning not available in live-trading (also described as repainting), is the reason why this strategy and the original "ANN Strategy" coded by sirolf2009 perform so excellent in backtesting.
All trading involves high risk; past performance is not necessarily indicative of future results. Hypothetical or simulated performance results have certain inherent limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not actually been executed, the results may have under- or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown.
(1) You can get the original code by sirolf2009 including the ANN as indicator here:
(1) and this is sirolf2009's very popular strategy version of his ANN:
MACD + Stochastic, Double Strategy (by ChartArt)This strategy combines the classic stochastic strategy to buy when the stochastic is oversold with a classic MACD strategy to buy when the MACD histogram value goes above the zero line. Only difference to the classic stochastic is a default setting of 71 for overbought (classic setting 80) and 29 for oversold (classic setting 20).
Therefore this strategy goes long if the MACD histogram goes above zero and the stochastic indicator detects a oversold condition (value below 29). If the inverse logic is true, the strategy goes short (stochastic overbought condition with a value above 71 and the MACD histogram falling below the zero line value).
Please be aware that this pure double strategy using simply two classic indicators does not have any stop loss or take profit money management logic.
All trading involves high risk; past performance is not necessarily indicative of future results. Hypothetical or simulated performance results have certain inherent limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not actually been executed, the results may have under- or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown.
Bollinger + RSI, Double Strategy (by ChartArt) v1.1This strategy uses the RSI indicator together with the Bollinger Bands to sell when the price is above the upper Bollinger Band (and to buy when this value is below the lower band). This simple strategy only triggers when both the RSI and the Bollinger Band indicators are at the same time in a overbought or oversold condition.
UPDATE
In this updated version 1.1 the strategy was both simplified for the user (less inputs) and made more successful in backtesting by now using a 200 period for the SMA which is the basis for the Bollinger Band. I also reduced the number of color alerts to show fewer, but more relevant trading opportunities.
And just like the first version this strategy does not use close prices from higher-time frame and should not repaint after the current candle has closed. It might repaint like every Tradingview indicator while the current candle hasn't closed.
All trading involves high risk; past performance is not necessarily indicative of future results. Hypothetical or simulated performance results have certain inherent limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not actually been executed, the results may have under- or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown.
P.S. For advanced users if you want access to more functions of this strategy script, then please use version 1.0:
Bollinger + RSI, Double Strategy (by ChartArt)Bollinger Bands + RSI, Double Strategy
This strategy uses a slower RSI with period 16 to sell when the RSI increases over the value of 55 (or to buy when the value falls below 45), with the classic Bollinger Bands strategy to sell when the price is above the upper Bollinger Band and falls below it (and to buy when the price is below the lower band and rises above it). This strategy only triggers when both the RSI and the Bollinger Bands indicators are at the same time in the described overbought or oversold condition. In addition there are color alerts which can be deactivated.
This basic strategy is based upon the "RSI Strategy" and "Bollinger Bands Strategy" which were created by Tradingview and uses no money management like a trailing stop loss and no scalping methods. Every win/loss trade is simply counted from the last overbought/oversold condition to the next one.
This strategy does not use close prices from higher-time frame and should not repaint after the current candle has closed. It might repaint like every Tradingview indicator while the current candle hasn't closed.
All trading involves high risk; past performance is not necessarily indicative of future results. Hypothetical or simulated performance results have certain inherent limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not actually been executed, the results may have under- or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown.
Moving Average Consecutive Up/Down Strategy (by ChartArt)This simple strategy goes long (or short) if there are several consecutive increasing (or decreasing) moving average values in a row in the same direction. The bars can be colored using the raw moving average trend. And the background can be colored using the consecutive moving average trend setting. In addition a experimental line of the moving average change can be drawn.
The strategy is based upon the "Consecutive Up/Down Strategy" which was created by Tradingview.
All trading involves high risk; past performance is not necessarily indicative of future results. Hypothetical or simulated performance results have certain inherent limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not actually been executed, the results may have under- or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown.
Rounded Weekly Pivot (by ChartArt)Trade with the trend. This is an overlay indicator which shows the weekly pivot (rounded) either as line or circle drawing, select-able by the user. The width of the pivot line (or circle) overlay is also adjustable.
In addition the bars can be colored by the trend, depending if the close price is above or below both the weekly and monthly pivots. If the close price is neither above or below both the weekly and monthly pivot prices the trend color is neutral blue.
The weekly pivot indicator with the optional setting that the pivot price is drawn as circles instead of a line:
And here with the pivot drawing disabled, showing only the pivot bar trend color
Outsidebar vs Insidebar, Illusion Strategy (by ChartArt)WARNING: This strategy does not work! Please don't trade with this strategy
I'm sharing this strategy for the following three educational reasons:
1. You can easily find 100% strategies, but if they only seem to work 100% on one asset, they actually don't work at all. Therefore never backtest your strategy only on one asset, especially forward testing is useless, because it tends to repeat the old patterns. Your strategy has to work on as many different assets as possible.
2. The pyramiding of orders can have an impact on the strategy. In this case if you manually change the strategy settings by increasing it from 1 to 100 pyramiding orders changes the percent profitable on "UKOIL" monthly from 100% to 90% profitable. On other assets you can see very different results. Allowing much more pyramiding orders in this case results in opening orders where the background color highlights appear.
3. The Tradingview backtest beta version currently does not close the last open trade during the backtest. In this case going long on "UKOIL" near the top in 2011 as this strategy did would result in a big loss in 2015. But since the trade is still open and not canceled out by a new short order it still appears as if this strategy works 100% profitable. Which it doesn't.
Moving Average Cross Alert, Multi-Timeframe (MTF) (by ChartArt)See when two moving averages cross. With the option to choose between four moving average calculations:
SMA = simple moving average
EMA = exponential moving average (default)
WMA = weighted moving average
Linear = linear regression
The moving averages can be plotted from different time-frames, like e.g. the weekly or 4 hour time-frame using HL2, HLC3 or OHLC4 as price source for the calculation. In addition there is a background color alert and arrows when the moving averages cross each other when the price also rises or falls. And the moving averages are colored depending on their trend direction (if they are trending up or down).
Market Trend Strength (MTS) (by ChartArt)See the current trend strength of the market. An additional filter makes trend consolidation areas visible. The color changes there each bar back and forth between green and red.
This area was interesting. Would have been a better example:
If the filter is deactivated the indicator shows the last measured price trend (green for up and down for red).
Mo Fan Trading Indicator//@version=6
indicator("Mo Fan Trading Indicator", shorttitle="MF Indicator", overlay=false)
// Input parameters
length_A = input.int(34, "Long Period")
length_B = input.int(14, "Short Period")
length_D = input.int(4, "Medium Period")
// Calculate main indicator values
calculateA() =>
hhv_34 = ta.highest(high, 34)
llv_34 = ta.lowest(low, 34)
a_val = -100 * (hhv_34 - close) / (hhv_34 - llv_34)
ta.sma(a_val, 19)
calculateB() =>
hhv_14 = ta.highest(high, 14)
llv_14 = ta.lowest(low, 14)
-100 * (hhv_14 - close) / (hhv_14 - llv_14)
calculateD() =>
hhv_34_d = ta.highest(high, 34)
llv_34_d = ta.lowest(low, 34)
d_val = -100 * (hhv_34_d - close) / (hhv_34_d - llv_34_d)
ta.ema(d_val, 4)
// Calculate indicator lines
A_line = calculateA()
B_line = calculateB()
D_line = calculateD()
longTermLine = A_line + 100
shortTermLine = B_line + 100
mediumTermLine = D_line + 100
// Calculate signal conditions
topSignal = (mediumTermLine > 85 and shortTermLine > 85 and longTermLine > 65) and ta.cross(longTermLine, shortTermLine)
topAreaCondition = (mediumTermLine < mediumTermLine and mediumTermLine > 80) and (shortTermLine > 95 or shortTermLine > 95) and longTermLine > 60 and shortTermLine < 83.5 and shortTermLine < mediumTermLine and shortTermLine < longTermLine + 4
bottomAreaCondition = (longTermLine < 12 and mediumTermLine < 8 and (shortTermLine < 7.2 or shortTermLine < 5) and (mediumTermLine > mediumTermLine or shortTermLine > shortTermLine )) or (longTermLine < 8 and mediumTermLine < 7 and shortTermLine < 15 and shortTermLine > shortTermLine ) or (longTermLine < 10 and mediumTermLine < 7 and shortTermLine < 1)
lowGoldenCross = longTermLine < 15 and longTermLine < 15 and mediumTermLine < 18 and shortTermLine > shortTermLine and ta.cross(shortTermLine, longTermLine) and shortTermLine > mediumTermLine and (shortTermLine < 5 or shortTermLine < 5) and (mediumTermLine >= longTermLine or shortTermLine < 1)
// Plot main indicator lines
plot(longTermLine, "Long Term Line", color.rgb(153, 0, 255), 2)
plot(shortTermLine, "Short Term Line", color.gray, 1)
plot(mediumTermLine, "Medium Term Line", color.yellow, 2)
// Plot horizontal reference lines
hline(10, "10 Level", color=color.new(#CC6633, 0), linestyle=hline.style_dashed, linewidth=2)
hline(20, "20 Level", color=color.new(color.green, 0))
hline(80, "80 Level", color=color.new(#996699, 0))
hline(90, "90 Level", color=color.new(#9966FF, 0), linestyle=hline.style_dashed, linewidth=2)
// Plot signal markers
plotshape(topSignal, "Top Signal", shape.triangledown, location.top, color.red, size=size.normal)
plotshape(bottomAreaCondition, "Bottom Area", shape.triangleup, location.bottom, color.green, size=size.normal)
plotshape(lowGoldenCross, "Low Golden Cross", shape.circle, location.bottom, color.lime, size=size.normal)
// Mark areas with background color
bgcolor(topSignal or topAreaCondition ? color.new(color.red, 90) : na, title="Top Area Background")
bgcolor(bottomAreaCondition ? color.new(color.green, 90) : na, title="Bottom Area Background")
bgcolor(lowGoldenCross ? color.new(color.lime, 90) : na, title="Golden Cross Background")
// Display value labels on chart
if barstate.islast
var table signal_table = table.new(position.top_right, 2, 4, bgcolor=color.white, border_width=1)
table.cell(signal_table, 0, 0, "Long Line:", text_color=color.black, bgcolor=color.white)
table.cell(signal_table, 1, 0, str.tostring(longTermLine, "#.##"), text_color=color.purple, bgcolor=color.white)
table.cell(signal_table, 0, 1, "Short Line:", text_color=color.black, bgcolor=color.white)
table.cell(signal_table, 1, 1, str.tostring(shortTermLine, "#.##"), text_color=color.gray, bgcolor=color.white)
table.cell(signal_table, 0, 2, "Medium Line:", text_color=color.black, bgcolor=color.white)
table.cell(signal_table, 1, 2, str.tostring(mediumTermLine, "#.##"), text_color=color.orange, bgcolor=color.white)
VWAP + EMA 20/50 Scalping PRO - PRAKASH✅ VWAP + EMA 20/50 SCALPING — PRO RULES
1️⃣ Chart Setup (30 seconds)
Timeframe: 1-min or 3-min
Indicators:
VWAP (Session)
EMA 20
EMA 50
Use on Index chart (NIFTY / SENSEX), not option chart
2️⃣ Trend Filter (FIRST CHECK)
Condition Market Bias
EMA 20 > EMA 50 Bullish
EMA 20 < EMA 50 Bearish
EMA 20 = EMA 50 (flat) ❌ No trade
👉 Never trade against EMA alignment
3️⃣ VWAP Position = Permission
Price vs VWAP Allowed Trade
Price above VWAP CE only
Price below VWAP PE only
Price cutting VWAP ❌ Skip
👉 VWAP decides BUY or SELL side
4️⃣ ENTRY SETUP (MOST IMPORTANT)
✅ CE ENTRY
EMA 20 > EMA 50
Price above VWAP
Pullback to EMA 20 or VWAP
Strong green candle close
✅ PE ENTRY
EMA 20 < EMA 50
Price below VWAP
Pullback to EMA 20 or VWAP
Strong red candle close
5️⃣ STOP LOSS & TARGET (FIXED)
Target: 10–15 points
SL:
Below EMA 20 (CE)
Above EMA 20 (PE)
Risk : Reward ≥ 1:2
❌ No SL = no trade
6️⃣ STRIKE SELECTION (OPTION SIDE)
Trade ATM or ±1 strike
Premium range: ₹80–₹150
Strike must move immediately
7️⃣ DO NOT TRADE WHEN ❌
EMA 20 & 50 flat
Price inside VWAP
First 5 minutes of market
Low volume candles
MA 6hour line green redUse the 6-hour chart for futures.
If the chart is above this line, go long.
Do not go long while it's below.
It's simple, but please follow this rule.
NQ Order Blocks (Smart Money)Shows the order blocks for different time frames
Detects Bullish Order Blocks (last down candle before impulsive up move)
Detects Bearish Order Blocks (last up candle before impulsive down move)
Plots rectangles (zones) on the chart
Works well on NQ 1m–15m and HTF confirmation
Lightweight & free
[ST] Killzones - Minimal Killzones — Minimal
User Manual
1. Purpose of the Indicator
Killzones — Minimal is a session-based market structure tool designed to highlight the highest-liquidity time windows of the trading day.
Instead of generating signals, this indicator provides context by visually marking the ICT Killzones, allowing the trader to:
Identify where liquidity is built
See which session created the range
Anticipate where liquidity is likely to be taken
Align SMC / Wyckoff / Order Flow analysis with time-based institutional behavior
This tool is especially effective for Crypto, Forex, and Indices, where markets run continuously and liquidity cycles matter more than exchange open times.
2. Killzones Covered (São Paulo Time – UTC-3)
The indicator draws one minimal, dotted box per session:
Session Time (SP) Role in Market Structure
ASIA 21:00 – 03:00 Range formation & liquidity buildup
LONDON 04:00 – 07:00 First liquidity raid & manipulation
NEW YORK (Killzone) 10:00 – 13:00 True displacement & delivery
These are ICT Killzones, not official stock exchange open times.
3. Visual Design Philosophy
The indicator is intentionally minimalist:
Dotted borders → no visual clutter
Optional fill → focus on structure, not noise
No signals or arrows → forces contextual reading
One box per session → clean session boundaries
The goal is to let price action and liquidity tell the story, not indicators.
4. How the Boxes Behave
Each session box:
Starts on the first candle of the session
Expands dynamically to include the session High and Low
Stops updating once the session ends
Remains fixed on the chart as historical context
This allows you to instantly see:
Which session created the current range
Where stop-loss clusters are likely resting
Which session was manipulated or delivered price
5. How to Use the Indicator (Practical Workflow)
Step 1 — Identify the Current Session
Ask:
Are we inside Asia, London, or New York?
Your expectations should change depending on the session.
Step 2 — Read Session Intent
ASIA
Expect compression and balance
Focus on identifying Asia High / Asia Low
Avoid aggressive trades inside the range
LONDON
Look for liquidity raids on Asia High/Low
Many London moves are manipulative
A failed raid is often a setup for NY
NEW YORK
Look for true displacement
High probability of:
Continuation
Reversal after a sweep
Best session to execute trades
Step 3 — Trade Liquidity, Not Candles
Use the boxes as liquidity maps, not entries.
High-probability ideas come from:
Asia range being swept during London
London manipulation being reversed during NY
NY taking remaining liquidity and delivering direction
6. Example Use Cases
Setup 1 — Asia Range Sweep
Asia forms a tight range
London sweeps Asia High or Low
Price fails to continue
Market shifts structure
Entry on OB / FVG toward the opposite side
Setup 2 — London Manipulation → NY Delivery
London sweeps liquidity but stalls
New York opens
NY takes the opposite side liquidity
Strong displacement occurs
Entry on NY pullback
Setup 3 — Session Breakout
No sweep
Immediate strong displacement
Clean continuation
Trade only after confirmation
7. What NOT to Do
Do not trade inside the middle of session boxes
Do not assume every sweep means reversal
Do not force trades without structure shift
Do not treat sessions as signals
The indicator shows where to pay attention, not when to click Buy or Sell.
8. Best Confluence Tools
This indicator works best when combined with:
Market Structure (BOS / CHoCH)
Order Blocks
Fair Value Gaps
Liquidity pools
Volume-based candle analysis (e.g. CandleFlow)
9. Final Notes
Killzones — Minimal is a contextual framework, not a strategy.
If you wait for:
Liquidity to be taken
Structure to shift
Price to confirm intent
You will trade with the market narrative, not against it.
Time reveals intent. Liquidity confirms it.
5Min Dashboard + 1Min Footprint (mit Dashboard-Ampel)This dashboard combines multiple key trading indicators for the 5-minute chart and adds a 1-minute Footprint analysis. It provides a quick overview of the strongest signals without micro-volume affecting the Buy/Sell rating.
Features:
EMA9/21 Cross – fast trend cross detection
Williams %R – overbought/oversold signals
MACD – trend direction on the 5-minute timeframe, optimized for day trading
VWAP – price relative to volume-weighted average
ADX Filter – identifies trend strength, helps avoid sideways markets
Footprint 1-Minute Signal – highlights high Buy/Sell volume zones (support/resistance)
Dashboard Signals – clear Buy/Sell/Neutral status with scores
Overlay Plots: EMA9, EMA21, VWAP, Footprint cumulative delta, and support/resistance zones
Advantages:
Fast visualization of all key indicators in one panel
Signal lights and arrows simplify quick decision-making
Flexible timeframes: 5-min for trading decisions, 1-min footprint for micro-market movements
Open Source: fully viewable, transparent, and customizable code
Disclaimer / Legal Notice:
This indicator is for analysis purposes only.
Not financial advice; no guarantee of profits.
Trading is at the user's own risk.
Users should conduct their own testing before executing real trades.
Ultimate RSI Pro
The Setup (What you see)The Trend Line (200 EMA): A colored line running through the price candles.Green: Only look for BUYS.Red: Only look for SELLS.The Dashboard (Top Right): Shows the trend on higher timeframes (15m, 1h, 4h, 1D).The Labels: "BUY" (Green) and "SELL" (Orange) tags that appear on specific candles.2.
The Entry Rules (The Checklist)✅ For a LONG (Buy) Trade:Check the Line: Is the Trend Line Green? (Price is above the 200 EMA).Check the Dashboard: Are the 4h and 1D boxes Green? (Trading with the big trend).Wait for the Trigger: A Green "BUY" label appears below a candle.Note: This label appears because a Bullish Divergence happened AND volume is high.Action: Enter the trade immediately at the Close of that candle.✅ For a SHORT (Sell) Trade:Check the Line: Is the Trend Line Red?
(Price is below the 200 EMA).Check the Dashboard: Are the 4h and 1D boxes Red?Wait for the Trigger: An Orange "SELL" label appears above a candle.Action: Enter the trade immediately at the Close of that candle.3. The Exit Rules (Risk Management)The script automatically calculates these prices for you on the label, but here is the logic so you understand it:Stop Loss (SL):Long: Set your SL at the price shown on the label (this is the recent "Swing Low").Short: Set your SL at the price shown on the label (this is the recent "Swing High").Take Profit (TP):Set your limit order at the TP price shown on the label. This is calculated at 1.5x your risk.Pro Tip: If the price gets halfway to your target, move your Stop Loss to "Breakeven" (your entry price) to make the trade risk-free.4.
Summary TableStepActionWhy?1Check DashboardEnsures you aren't swimming against the tide (Big Trend).2Wait for LabelConfirms momentum has shifted (Divergence + Volume).3Set TP / SLRemoves emotion. You know your exit before you enter.4Walk AwayLet the trade hit TP or SL. Do not micro-manage it.5. Best TimeframesCrypto: 15 Minute or 1 Hour chart.Forex: 1 Hour or 4 Hour chart.Stocks: Daily chart.
list
VMDiv ChartVMDiv is an advanced divergence detection system that goes beyond
traditional oscillator-based approaches. Instead of relying on standard
indicators like RSI or MACD, this system uses a custom-built Volume
Momentum Oscillator that intelligently combines:
🔹 EMA Momentum Analysis (Fast/Slow crossover dynamics)
🔹 Bollinger Band Positioning (Normalized price distance from mean)
🔹 Adaptive Blending (User-adjustable momentum vs. mean-reversion weight)
This hybrid approach captures BOTH momentum extremes AND overextension
conditions, resulting in more reliable divergence signals.
ACP ProDescription
ACP (Advanced Chart Patterns) detects complex multi-point patterns including Head & Shoulders (both regular and inverse), triangles (symmetrical, ascending, descending), wedges (rising, falling), and channels (ascending, descending, horizontal).
SMT divergencesSMT divergences, virtually shows where Divergences in a pair are, choose your pairs and add to chart, only shows divergence when the laggard pair is sweeping downward and the leading pair doesn't sweep.
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For Source the Cutie
