[fikira] MTF MA/EMA'sHere is my take on MA/EMA's and MTF, based on the most excellent work of
"PineCoders" (MTF Selection Framework functions)!
The big advantage is that on 1 image you can easily see where
price is compared to different MA/EMA's (each of different Time Frames).
This gives a lot of Support and Resistance area's!
Includes:
- MA/EMA 20
- MA/EMA 50
- MA/EMA 100
- MA/EMA 200
The present Time Frame MA/EMA has a coloured circle at the side.
Each can be altered in length (the length is visible at the side and changed with the settings)
Each has an extra 4 different Time Frames (multiple settings possible)
Crossover and crossunder MA/EMA 50 with 100 (Silver Cross) and 200 (Golden Cross) is included.
The present Time Frame Cross has a "o" above the Cross
Time Frame 1 Cross has a "1" above the Cross
Time Frame 1 Cross has a "2" above the Cross
Time Frame 1 Cross has a "3" above the Cross
Time Frame 1 Cross has a "4" above the Cross
Cari dalam skrip untuk "mtf"
[fikira] Bollinger Bands + Higher Time FramesHere is my take on BB and MTF, based on the most excellent work of
"PineCoders" (MTF Selection Framework functions)!
The big advantage is that on 1 image you can easily see where
price is compared to 5 or less BB Bands (each of different Time Frames).
This gives a lot of Support and Resistance area's!
Includes:
- 1 Bollinger Bands (can be enabled/disabled - "Bollinger Bands"
- 4 Bollinger Bands (each can be enabled/disabled - "HTF Selection 1-4")
Each BB has its colour (can be changed)
- Labels (Timeframe and price) can be enabled/disabled
- Labels position and size can be changed
...
RSI + EMA+ MTF Stop-LossThis is a simple RSI with multiple MTF (No security) to help with direction short and long-term.
The rsi for the current chart has a noise reduction, while the rest are based on ma's.
I have supplied an extra flexible mtf rsi ma for potential adjustable/long-term stop-loss or direction identification.
Enjoy
Bollinger MTFSo this is a Bollinger resistance and support map, I just convert it to v4 and add info for current upper and lower levels
The length is 60 (instead of regular 20) and we make it to be MTF
Ok , so how this system work
we choose TF and I normaly use 3x or 4X of the MTF (you can choose your own)
then we need to decide if we want to long or short
if we go long then the buy point will be the lower value and TP will be TP in green -
If we go short then our entry value will be upper and TP (take profit) will be in red
so one can put few tweeks and make this system to be more automatic , but I just show this as a easy concept for trade system
the main issue in such system is properly to decide when to go short or when to go long
that why you need to add other indicators in order to make this call and make this system effective
wave trend mtf v1This Lazy Bear wave trend in MTF version with take profit and stop loss rebuy
you can change the MTF using the security call
and many nice option to see insid3e
so you can play with it, modify it or make it better
Hull Trend MTFhull trend taken from
So add MTF function and alert for the buy and sell (in the MTF shift set to 0 , if repaint then set shift to 1)
the blue line is linear regression trend
UCS_Momentum Oscillator Upper MTFby request of a freind I just made him this famous oscilator of chris mody in MTF format
so it a sling shot and MTF
HullDEMA MTFThis indicator based on non repaint HULL 720 min and dema MTF
i suugest to keep the Dema MTF on the time frame of your graph
using the HULL 720 min we can see how the signal of DEMA and the crossing of the hull 720 either by DEMA or by the candels
this enable us to detect trends more easy
MA slopes MTF this is the original script. its nice as I love slopes of different MA
add MTF +colors of bullish and bearish
add alerts and signals
This can be a very good base indicator if one want to add extra things to it to make it better
or can used as a good filter
here on 15 min 1000min MTF
VPT and Heiken Ashi Candles MTFThe volume price trend indicator is used to determine the balance between a security’s demand and supply. The percentage change in the share price trend shows the relative supply or demand of a particular security, while volume indicates the force behind the trend. The VPT indicator is similar to the on-balance volume (OBV) indicator in that it measures cumulative volume and provides traders with information about a security’s money flow
So we put the VPT and add HA candles with non repainting MTF , the crossing up or down of the VPT over candles create the signals
since VPT tend to overshoot you can smooth it with Leni..(just give the smoothing of the length this stupid name:) )
alerts inside
just example of play with MTF and the smooth of VPT
DEMA-MTF with alerts This model based on DEMA with non repainting MTF
if you want to change the MTF use int2
buy and sell show in triangke signals
alerts included
you can smooth the signal with len1 if needed
TTM Squeeze-MTFthe script based on
I just change it to be non repainting MTF and add signals
you can change the MTF by changing int2
Heiken Ashi Candles MTFThis script allow you to get the HA candles in different MTF settings (MTF calculated as length not as time) . since we do not use security fuction we do not have repaint issue
Use the int2 to change the time frame
Up/Down Range Momentum MTFSo using the script of
and adding non repainting MTF function to it we create this momentum model
You can enter either at cross of blue line or at cross of 0 and vice versa at red line.
since it has MTF function you can look it on different time frames just set int 2 to the TF of your desire
RCI3Short MTFFor RCI lover.
We are facing a timeout problem on smart phone apps of TV.
It looks like a staircase, but It frees us from timeout problems.
default MTF: 60 / 120 / 240
MTF line as middle/long lines
MA Study: Different Types and More [NeoButane]A study of moving averages that utilizes different tricks I've learned to optimize them. Included is Bollinger Bands, Guppy (GMMA) and Super Guppy.
The method used to make it MtF should be more precise and smoother than regular MtF methods that use the security function. For intraday timeframes, each number represents each hour, with 24 equal to 1 day. For daily, 3 is 3 day, for weekly, 4 is the 4 weekly, etc. If you're on a higher timeframe than the one selected, the length will not change.
Log-space is used to make calculations work on many cryptos. The rules for color changing Guppy is changed to make it not as choppy on MAs other than EMA. Note that length does not affect SWMA and VWAP and source does not affect VWAP.
A short summary of each moving average can be found here: medium.com
List of included MAs:
ALMA: Arnaud Legoux
Double EMA
EMA: Exponential
Hull MA
KAMA: Kaufman Adaptive
Linear Regression Curve
LSMA: Least Squares
SMA: Simple
SMMA/RMA: Smoothed/Running
SWMA: Symm. Weighted
TMA: Triangular
Triple EMA
VWMA: Volume Weighted
WMA: Weighted
ZLEMA: Zero Lag
VWAP: Vol Weighted Average
Welles Wilder MA
ADX-DI MTF trend indication - JD version 2Version 2 added support for MTF, to see the trend direction on the lower or higher timeframe.
As an example to see the difference, the indicator is added three times, one time for the current TF, one set at the higher and one at the lower TF.
Cudo's to Chris Moody for the MTF-switching-code!!
JD.
RS_Stoch-RSI_MTFmodification by Richard Siegers that turned stochastic mtf from ChrisMoody into stochastic-rsi mtf
B3 Bar Cycle MTF (fix)Apologies, there was an error in printing for the thick gray boxes, happened when MTF was switched on. All better, and here is the details from before:
This is an interesting study that can be used as a tool for determining trend direction, and also could be a trailing stop setter. I use it as a gauge on MTF settings. If on, you can look at the bar cycle of the 1h while on the 15m giving you a lot of information in one tool. If a line is missing high or low, it is because it was broken, if both exist you are trading in range and cloud appears. If both sides break you get thick gray boxes above and below bar.
Get used to editing the inputs to suit your liking. Often 3-5 length and always looking at different resolutions to get a big picture story. You could put multiple instances of the study up to see them simultaneously. I based the idea off of Krausz's 3 day cycle which you can read about in his teachings. I tend to find it looking better using Heikin Ashi bar-style.
True Strength Indicator MTFHere is an example of a script showing a multi-time frame of TSI.
Chart below compares FX EURUSD Daily TSI to 1H TSI
Here is an updated version
study("True Strength Indicator MTF", shorttitle="TSI MTF")
resCustom = input(title="Timeframe", type=resolution, defval="60" )
long = input(title="Long Length", type=integer, defval=25)
short = input(title="Short Length", type=integer, defval=13)
signal = input(title="Signal Length", type=integer, defval=13)
price = close
double_smooth(src, long, short) =>
fist_smooth = ema(src, long)
ema(fist_smooth, short)
pc = change(price)
double_smoothed_pc = double_smooth(pc, long, short)
double_smoothed_abs_pc = double_smooth(abs(pc), long, short)
tsi_value = 100 * (double_smoothed_pc / double_smoothed_abs_pc)
tsi = security(tickerid, resCustom,tsi_value)
plot(tsi, color=black)
plot(ema(tsi, signal), color=red)
hline(0, title="Zero")
Directional Volume Cloud MTFThe Directional Volume Cloud MTF transforms raw volume into a visually intuitive cloud histogram that highlights directional bias and exhaustion zones.
🔍 Core Logic
- Volume bias is calculated using candle direction (bullish/bearish) and smoothed via EMA.
- Bias strength is normalized against average volume to produce a ratio from -1 to +1.
- Color and opacity dynamically reflect bias direction and strength — pale clouds indicate weak volume, while vivid clouds signal strong conviction.
Features
- Customizable bullish/bearish colors
- Dynamic opacity based on volume strength
- Declining volume signals for potential reversals
- Multi-timeframe bias overlay (e.g., daily bias on intraday chart)
📈 Use Cases
- Spot volume exhaustion before reversals
- Confirm breakout strength with bias intensity
- Compare short-term vs long-term volume pressure
Whether you're scalping intraday moves or validating swing setups, this cloud-based volume heatmap offers a clean, modular way to visualize market conviction.
Weis Wave Volume MTF 🎯 Indicator Name
Weis Wave Volume (Multi‑Timeframe) — adapted from the original “Weis Wave Volume by LazyBear.”
This version adds multi‑timeframe (MTF) readings, configurable colors, font size, and screen position for clear dashboard‑style display.
🧠 Concept Background — What is Weis Wave Volume (WWV)?
The Weis Wave Volume indicator originates from Wyckoff and David Weis’ techniques.
Its purpose is to link price movement “waves” with the amount of traded volume to reveal how strong or weak each wave is.
Instead of showing bars one by one, WWV accumulates the total volume while price keeps moving in the same direction.
When price direction changes (up → down or down → up), it:
Finishes the previous wave volume total.
Starts a new wave and begins accumulating again.
Those wave volumes help traders see:
Effort vs Result: Big volume with small price move ⇒ absorption; low volume with big move ⇒ weak participation.
Trend confirmation or exhaustion: High volume waves in trend direction strengthen it, while low‑volume waves hint exhaustion.
⚙️ How this Script Works
Trend & Wave Detection
Compares close with the previous bar to determine up or down movement (mov).
Detects trend reversals (when mov direction changes).
Builds “waves,” each representing a continuous run of bars in one direction.
Volume Accumulation
While price keeps the same direction, the script adds each bar’s volume to the running total (vol).
When direction flips, it resets that total and starts a new wave.
Multi‑Timeframe Computation
Calculates these wave volumes on three timeframes at once, chosen dynamically:
Active Chart Timeframe Displays WWV for:
1 min 1 min
5 min 5 min
15 min 15 min
Any other Chart TF
It uses request.security() to pull each timeframe’s latest WWV value and current wave direction.
Visual Output
Instead of plotting histogram bars, it shows a table with three numeric values:
WWV (1): 25.3 M | (15): 312 M | (240): 2.46 B
Each value is color‑coded:
user‑selected Uptrend Color when price wave = up
user‑selected Downtrend Color when wave = down
You can position this small table in any corner/center (top / bottom × left / center / right).
Font size is user‑adjustable (Tiny → Huge).
📈 How Traders Use It
Quickly gauge buying vs selling effort across multiple horizons.
Compare short‑term wave volume to higher‑timeframe waves to spot:
Alignment → all up and big volumes = strong trend
Divergence → small or opposite‑colored higher‑TF wave = potential reversal or pause
Combine with Wyckoff, VSA, or standard trend analysis to judge if a breakout or pullback has real participation.
🧩 Key Features of This Version
Feature Description
Multi‑Timeframe Panel Displays WWV values for 3 selected TFs at once
Dynamic TF Mapping Auto‑adjusts which TFs to use based on chart
Up/Down Color Coding Customizable colors for wave direction
Adjustable Font and Placement Set font size (Tiny→Huge) and screen corner/center
No Histograms Keeps chart clean; acts as a compact WWV dashboard
Zero Lag Trend Signals (MTF) [Quant Trading] V7Overview
The Zero Lag Trend Signals (MTF) V7 is a comprehensive trend-following strategy that combines Zero Lag Exponential Moving Average (ZLEMA) with volatility-based bands to identify high-probability trade entries and exits. This strategy is designed to reduce lag inherent in traditional moving averages while incorporating dynamic risk management through ATR-based stops and multiple exit mechanisms.
This is a longer term horizon strategy that takes limited trades. It is not a high frequency trading and therefore will also have limited data and not > 100 trades.
How It Works
Core Signal Generation:
The strategy uses a Zero Lag EMA (ZLEMA) calculated by applying an EMA to price data that has been adjusted for lag:
Calculate lag period: floor((length - 1) / 2)
Apply lag correction: src + (src - src )
Calculate ZLEMA: EMA of lag-corrected price
Volatility bands are created using the highest ATR over a lookback period multiplied by a band multiplier. These bands are added to and subtracted from the ZLEMA line to create upper and lower boundaries.
Trend Detection:
The strategy maintains a trend variable that switches between bullish (1) and bearish (-1):
Long Signal: Triggers when price crosses above ZLEMA + volatility band
Short Signal: Triggers when price crosses below ZLEMA - volatility band
Optional ZLEMA Trend Confirmation:
When enabled, this filter requires ZLEMA to show directional momentum before entry:
Bullish Confirmation: ZLEMA must increase for 4 consecutive bars
Bearish Confirmation: ZLEMA must decrease for 4 consecutive bars
This additional filter helps avoid false signals in choppy or ranging markets.
Risk Management Features:
The strategy includes multiple stop-loss and take-profit mechanisms:
Volatility-Based Stops: Default stop-loss is placed at ZLEMA ± volatility band
ATR-Based Stops: Dynamic stop-loss calculated as entry price ± (ATR × multiplier)
ATR Trailing Stop: Ratcheting stop-loss that follows price but never moves against position
Risk-Reward Profit Target: Take-profit level set as a multiple of stop distance
Break-Even Stop: Moves stop to entry price after reaching specified R:R ratio
Trend-Based Exit: Closes position when price crosses EMA in opposite direction
Performance Tracking:
The strategy includes optional features for monitoring and analyzing trades:
Floating Statistics Table: Displays key metrics including win rate, GOA (Gain on Account), net P&L, and max drawdown
Trade Log Labels: Shows entry/exit prices, P&L, bars held, and exit reason for each closed trade
CSV Export Fields: Outputs trade data for external analysis
Default Strategy Settings
Commission & Slippage:
Commission: 0.1% per trade
Slippage: 3 ticks
Initial Capital: $1,000
Position Size: 100% of equity per trade
Main Calculation Parameters:
Length: 70 (range: 70-7000) - Controls ZLEMA calculation period
Band Multiplier: 1.2 - Adjusts width of volatility bands
Entry Conditions (All Disabled by Default):
Use ZLEMA Trend Confirmation: OFF - Requires ZLEMA directional momentum
Re-Enter on Long Trend: OFF - Allows multiple entries during sustained trends
Short Trades:
Allow Short Trades: OFF - Strategy is long-only by default
Performance Settings (All Disabled by Default):
Use Profit Target: OFF
Profit Target Risk-Reward Ratio: 2.0 (when enabled)
Dynamic TP/SL (All Disabled by Default):
Use ATR-Based Stop-Loss & Take-Profit: OFF
ATR Length: 14
Stop-Loss ATR Multiplier: 1.5
Profit Target ATR Multiplier: 2.5
Use ATR Trailing Stop: OFF
Trailing Stop ATR Multiplier: 1.5
Use Break-Even Stop-Loss: OFF
Move SL to Break-Even After RR: 1.5
Use Trend-Based Take Profit: OFF
EMA Exit Length: 9
Trade Data Display (All Disabled by Default):
Show Floating Stats Table: OFF
Show Trade Log Labels: OFF
Enable CSV Export: OFF
Trade Label Vertical Offset: 0.5
Backtesting Date Range:
Start Date: January 1, 2018
End Date: December 31, 2069
Important Usage Notes
Default Configuration: The strategy operates in its most basic form with default settings - using only ZLEMA crossovers with volatility bands and volatility-based stop-losses. All advanced features must be manually enabled.
Stop-Loss Priority: If multiple stop-loss methods are enabled simultaneously, the strategy will use whichever condition is hit first. ATR-based stops override volatility-based stops when enabled.
Long-Only by Default: Short trading is disabled by default. Enable "Allow Short Trades" to trade both directions.
Performance Monitoring: Enable the floating stats table and trade log labels to visualize strategy performance during backtesting.
Exit Mechanisms: The strategy can exit trades through multiple methods: stop-loss hit, take-profit reached, trend reversal, or trailing stop activation. The trade log identifies which exit method was used.
Re-Entry Logic: When "Re-Enter on Long Trend" is enabled with ZLEMA trend confirmation, the strategy can take multiple long positions during extended uptrends as long as all entry conditions remain valid.
Capital Efficiency: Default setting uses 100% of equity per trade. Adjust "default_qty_value" to manage position sizing based on risk tolerance.
Realistic Backtesting: Strategy includes commission (0.1%) and slippage (3 ticks) to provide realistic performance expectations. These values should be adjusted based on your broker and market conditions.
Recommended Use Cases
Trending Markets: Best suited for markets with clear directional moves where trend-following strategies excel
Medium to Long-Term Trading: The default length of 70 makes this strategy more appropriate for swing trading rather than scalping
Risk-Conscious Traders: Multiple stop-loss options allow traders to customize risk management to their comfort level
Backtesting & Optimization: Comprehensive performance tracking features make this strategy ideal for testing different parameter combinations
Limitations & Considerations
Like all trend-following strategies, performance may suffer in choppy or ranging markets
Default 100% position sizing means full capital exposure per trade - consider reducing for conservative risk management
Higher length values (70+) reduce signal frequency but may improve signal quality
Multiple simultaneous risk management features may create conflicting exit signals
Past performance shown in backtests does not guarantee future results
Customization Tips
For more aggressive trading:
Reduce length parameter (minimum 70)
Decrease band multiplier for tighter bands
Enable short trades
Use lower profit target R:R ratios
For more conservative trading:
Increase length parameter
Enable ZLEMA trend confirmation
Use wider ATR stop-loss multipliers
Enable break-even stop-loss
Reduce position size from 100% default
For optimal choppy market performance:
Enable ZLEMA trend confirmation
Increase band multiplier
Use tighter profit targets
Avoid re-entry on trend continuation
Visual Elements
The strategy plots several elements on the chart:
ZLEMA line (color-coded by trend direction)
Upper and lower volatility bands
Long entry markers (green triangles)
Short entry markers (red triangles, when enabled)
Stop-loss levels (when positions are open)
Take-profit levels (when enabled and positions are open)
Trailing stop lines (when enabled and positions are open)
Optional ZLEMA trend markers (triangles at highs/lows)
Optional trade log labels showing complete trade information
Exit Reason Codes (for CSV Export)
When CSV export is enabled, exit reasons are coded as:
0 = Manual/Other
1 = Trailing Stop-Loss
2 = Profit Target
3 = ATR Stop-Loss
4 = Trend Change
Conclusion
Zero Lag Trend Signals V7 provides a robust framework for trend-following with extensive customization options. The strategy balances simplicity in its core logic with sophisticated risk management features, making it suitable for both beginner and advanced traders. By reducing moving average lag while incorporating volatility-based signals, it aims to capture trends earlier while managing risk through multiple configurable exit mechanisms.
The modular design allows traders to start with basic trend-following and progressively add complexity through ZLEMA confirmation, multiple stop-loss methods, and advanced exit strategies. Comprehensive performance tracking and export capabilities make this strategy an excellent tool for systematic testing and optimization.
Note: This strategy is provided for educational and backtesting purposes. All trading involves risk. Past performance does not guarantee future results. Always test thoroughly with paper trading before risking real capital, and adjust position sizing and risk parameters according to your risk tolerance and account size.
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TAGS:
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trend following, ZLEMA, zero lag, volatility bands, ATR stops, risk management, swing trading, momentum, trend confirmation, backtesting
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CATEGORY:
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Strategies
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CHART SETUP RECOMMENDATIONS:
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For optimal visualization when publishing:
Use a clean chart with no other indicators overlaid
Select a timeframe that shows multiple trade signals (4H or Daily recommended)
Choose a trending asset (crypto, forex major pairs, or trending stocks work well)
Show at least 6-12 months of data to demonstrate strategy across different market conditions
Enable the floating stats table to display key performance metrics
Ensure all indicator lines (ZLEMA, bands, stops) are clearly visible
Use the default chart type (candlesticks) - avoid Heikin Ashi, Renko, etc.
Make sure symbol information and timeframe are clearly visible
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COMPLIANCE NOTES:
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✅ Open-source publication with complete code visibility
✅ English-only title and description
✅ Detailed explanation of methodology and calculations
✅ Realistic commission (0.1%) and slippage (3 ticks) included
✅ All default parameters clearly documented
✅ Performance limitations and risks disclosed
✅ No unrealistic claims about performance
✅ No guaranteed results promised
✅ Appropriate for public library (original trend-following implementation with ZLEMA)
✅ Educational disclaimers included
✅ All features explained in detail
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