Multi IndicatorThis script uses combination of RSI, W %, BB, EMA signals to find movement direction and reversals.
Prakash Balkawade
Médias Móveis
SPY200SMA (+4%/-3%) TQQQ/QQQ STRATEGYSummary of the Improved Strategy: When the price of AMEX:SPY is +4% above the 200SMA BUY NASDAQ:TQQQ and when the price of SPY drops to -3% under the SPY 200SMA SELL everything and slowly DCA into NASDAQ:QQQ over the next 6-12 months or until price returns to +4% above the SPY 200SMA at which point you will go back into 100% TQQQ.
Note: (if the price of QQQ goes 30% above the 200SMA of QQQ deleverage to QQQ or Sell to protect yourself from dot com level event)
More info and stats -https://www.reddit.com/r/LETFs/comments/1nhye66/spy_200sma_43_tqqqqqq_long_term_investment/
Smart Risk DCA Meter — Adaptive Market Risk EngineThe **Smart Risk DCA Meter** is an adaptive market-risk indicator that helps you invest smarter by scaling your DCA buys based on actual market conditions instead of emotion. It combines momentum, distance from trend, and drawdown factors into a single 0–1 risk score that automatically adjusts to each asset’s volatility — from stable indices like SPX to high-beta assets like BTC. Low readings (green zones) signal opportunity to buy heavier, while high readings (red zones) warn to slow down and protect capital.
AI Bot Regime Feed (v6) — stableThis indicator generates real-time, structured JSON alerts for external trading bots or automation systems.
It combines multiple technical layers to identify market regimes and high-probability buy/sell events, and sends them to any webhook endpoint (e.g., a FastAPI or Zapier listener).
TIME-Trading Indicator + AlertsWhat it is
A Pine Script study that profiles intraday behavior by day+time windows in CET/CEST, verifies it on history, colors the chart by the expected bias & strength, shows tables/heatmaps with backtest stats, and can alert at the start of each window with a full trading summary.
Core ideas
Day is split into 7 CET windows: 0–6, 6–9, 9–12, 12–15, 15–18, 18–22, 22–24
(NYC is unified as 15–18 and 18–22 across the whole script.)
For each weekday & window we have an expectation (Bull/Bear/Neutral/Chop) with a strength 1–5 and a label (e.g., “Skokový rast”, “Výplach”…).
Script backtests those expectations on your chart’s history:
Computes return of each window (log-return from first bar open to last bar close of the window).
Counts Hit-rate (bull window = return>0; bear window = return<0; neutral/chop excluded).
Tracks Avg % drift, t-stat, and sample size N.
Trend regime (Auto/Manual)
Auto (EMA): price vs EMA(length) on a higher timeframe (configurable) + optional slope filter.
Manual override: Bull / Bear / Neutral.
Regime is read without look-ahead (uses previous bar’s regime when closing a window).
What you see
Background shading of the current window
– color family by category (green=bull, red=bear, gray=neutral, orange=chop), shade by strength 1–5.
Optional labels on window change with regime + label text (“Bull • Najsilnejší rast týždňa”).
Forecast panel (bottom-right) listing the next X windows with label & strength.
Results tables (three views):
Heatmap 7×7 (default): weekday × window grid, each cell shows one metric (toggle among Hit-rate / Avg % / t-stat).
Deň (stránkovanie): full stats for a single day (N, Hit-rate, Avg %, t, label).
Split 2× (dlhá): two stacked tables (Mon–Thu, Fri–Sun) to fit small screens.
Alerts (window start)
Optionally fire at the start of every window.
Message includes: weekday + window, expectation label, strength, current regime, recommended action (Long/Short/Wait), Hit-rate %, Avg %, and N.
Create alerts in TV with Condition → Any alert() function call (so the script’s dynamic text is used).
Optional filters (easy to add/adjust): min N, min Hit-rate, only Bull/Bear windows.
Inputs you control
Regime mode, EMA length, higher-TF for trend check, require EMA slope.
CET/CEST timezone (uses “Europe/Bratislava” by default).
Toggles: background, labels, forecast, results view, table text size, heatmap metric.
Alert enable; (we can add min-N / min-HR filters if you want them by default).
How stats are computed (important)
A window’s return is measured strictly inside the window (open of first bar → close of last bar).
The window is credited to the correct weekday even across midnight.
Hit-rate uses only directional windows (Bull/Bear). Neutral/Chop are excluded.
Best practices
Use chart TF that divides an hour (5/15/30/60m) so window boundaries align cleanly.
Read the heatmap primarily by Hit-rate (signal reliability) and cross-check with Avg % (effect size) and t-stat (significance).
Trade at the start of a strong window in the direction of the current regime, exit time-based (end of window) or on PT/SL.
If you want, I can also:
mask/show only cells with N ≥ threshold,
add NYC sub-split toggle off/on,
export stats to CSV,
or add webhooks-friendly compact alert strings.
EMA+MACD动态0轴主图动态MACD，EMA55作为当前周期动态0轴使用。EMA13作为小4倍周期动态0轴。当前周期DIF线穿越0轴标记+MACD金死叉标记。
The main chart dynamic MACD and EMA55 are used as the dynamic 0-axis for the current cycle. EMA13 is used as the dynamic 0- axis for the smaller 4x cycle. The current cycle's DIF line has crossed the 0-axis, marked with a "+" sign indicating a golden cross on the MACD.
DASM CODE BUY/SELL EMASimple, Just Buy/Sell
For scalping, it’s best used during high-volume hours (9:30–11:00 New York time).
Gaussian MACD RSI v2Gaussian Filter MACD Strategy (Zero Cross + RSI Gate)
What it does
This strategy evaluates momentum using a Gaussian-smoothed MACD and requires a MACD zero-line cross to confirm trend initiation. A configurable RSI threshold filters weak signals, aiming to reduce whipsaws around the zero line. Entries occur only when momentum and baseline strength agree; exits are triggered by MACD crossing below its signal to capture the meat of the move while avoiding discretionary overrides.
How it works (concepts, not code)
Gaussian MACD: The fast/slow components are smoothed with a Gaussian-style filter to reduce noise relative to standard EMA MACD.
Zero-line confirmation: Longs require MACD to cross above zero, aligning entries with positive momentum regimes.
RSI gate: A threshold (default 50) further filters entries so that only setups with baseline strength qualify.
Exit logic: Positions close when MACD crosses below its signal line, providing an objective exit without trailing logic.
Sources: The script supports standard and Heikin-Ashi-derived sources for traders who prefer alternate preprocessing.
How to use it
Add the strategy to a clean chart.
Keep default settings for initial testing; then adjust the RSI threshold and symbol/timeframe for your market.
Favor liquid instruments where slippage and fills are reliable.
Forward-test and walk-forward before any live use.
Default Properties (used for this publication)
Initial Capital: $25,000
Order Size: 100% of equity per trade (no leverage).
Commission: 0.02% per side.
Slippage: 2 ticks (or 0.02% on percent-based markets).
Timeframe used for the published chart: 15-minute (example)
Dataset: SPY/QQQ/large-cap equities (2+ years) producing 100+ trades in sample.
Note: This strategy does not use hard stops by default. If you prefer risk caps ≤ 5–10% per trade, add a stop in the Inputs and re-publish; otherwise, this description explains the deviation per House Rules.
Disclosures
Backtest results are estimates; real-world fills, slippage, and availability may differ. No guarantee of performance. Use prudent position sizing and independent verification.
Short-Term Capitulation Oscillator (STCO, Diodato 2019)Description:
This script is a faithful implementation of the Short-Term Capitulation Oscillator (STCO) from Chris Diodato's 2019 CMT paper, "Making The Most Of Panic". It's a tactical breadth and volume oscillator designed to "fish for market bottoms" by identifying short-term investor capitulation.
What It Is
The STCO combines the 10-day moving averages of NYSE up-volume and advancing issues. It measures the ratio of advancing momentum (in both volume and number of issues) relative to the total traded momentum. The result is a raw, un-normalized oscillator that typically ranges from 0 to 200.
How to Interpret
The STCO is a tactical tool for identifying near-term oversold conditions and potential bounces.
Low Readings: Indicate that sellers have likely exhausted themselves in the short term, creating a potential entry point for a bounce. The paper found that readings below 90, 85, and 80 were often followed by strong market performance over the next 5-20 days.
Overbought/Oversold Lines: Use the customizable overbought/oversold lines to define your own capitulation zones and potential entry areas.
Settings
Data Sources: Allows toggling the use of "Unchanged" issues/volume data.
Thresholds: You can set the overbought and oversold levels based on the paper's research or your own testing.
Long-Term Capitulation Oscillator (LTCO, Diodato 2019)Description:
This script is a faithful implementation of the Long-Term Capitulation Oscillator (LTCO) from Chris Diodato's award-winning 2019 CMT paper, "Making The Most Of Panic". It is a strategic, market-wide breadth and volume oscillator designed to identify major, long-term market bottoms.
What It Is
The LTCO combines long-term moving averages (34, 55, 89, 144, and 233-day) of NYSE advancing/declining issues and up/down volume. It uses a unique "average of averages" method to create a responsive yet strategic long-term indicator. This script plots the raw, un-normalized value as described in the paper, which typically oscillates in the 700-1100 range.
How to Interpret
The LTCO is a strategic tool for identifying potentially significant market turning points.
Extremely Low Readings: Suggest that a long-term period of selling has reached a point of exhaustion, potentially marking a major bear market low or a generational buying opportunity. The paper backtested various thresholds, with values below 950, 925, and especially 875 showing historically strong forward returns over the next 6-24 months.
Overbought/Oversold Lines: The script includes customizable overbought/oversold lines to help you visually identify these critical zones.
Settings
Data Sources: Allows toggling the use of "Unchanged" issues/volume data for the calculation.
Thresholds: You can set the overbought and oversold levels to your preference, based on the paper's findings or your own research.
Sharpshooter 30 – EMA DistanceSharpshooter 30 – EMA Distance Pullback Detector
This indicator is designed for disciplined traders who prefer to wait for deep pullbacks
after a clear trend shift. Following a 7/200 EMA death cross, the script “arms” and waits
for the Fast EMA to move a configurable USD distance below the Slow EMA.
When this distance threshold is reached and confirmed by a closed bar,
the script plots a single BUY signal — signaling a potential rebound entry point.
Recommended timeframe: 5-minute chart (XAU/USD works best)
Key features:
• Adjustable EMA lengths
• Adjustable USD distance threshold
• One-time signal logic to avoid overplotting
Philosophy:
"Always wait" — patience defines precision. The method aims to catch
the first high-probability retracement after trend exhaustion.
日本語説明:
Sharpshooter 30は、トレンド転換後の押し目を狙うトレーダー向けのインジケーターです。
7/200 EMAのデッドクロス後、Fast EMAがSlow EMAより一定金額（例：30ドル）下回った確定足でBUYを1度だけ点灯します。
ルールを守り、焦らず待つことを目的としています。
推奨時間軸：5分足（特にXAU/USDで効果的）
MA期間や乖離幅は調整可能。
Optimum EMAs x3Function Review
Optimum EMAs x3 scores EMA-price reactions via bullish/bearish percentages. Plots test (purple), bull/bear fast/medium/slow EMAs with toggles/individual colors, three adjustable gradient fills, and reaction table for multi-band analysis.
Usage Write-Up
Set fast (5-15), medium (10-20), slow (15-30) ranges per strategy. Test values via Test EMA for peak scores. Input optima to bull/bear fast/medium/slow for reactive three-band envelope (bullish supports, bearish resistances), refining signals in varied trends.
Ekoparaloji Cyrpto StrategyEkoparaloji Crypto Strategy - User Information Document
📊 Strategy Overview
This strategy provides long-term position management in cryptocurrency markets using the averaging down (pyramiding) technique. The basic logic is to controllably grow positions as prices decline and exit when specific profit targets are reached.
🎯 Key Features
✅ Automatic Entry System
Market direction is determined using a proprietary trend identification algorithm
Trades are only opened in uptrends
Initial position opens automatically when specific conditions are met
📈 Pyramiding Mechanism
New positions are automatically added as price decreases
Up to 10 positions can be added maximum
Each addition occurs at predetermined decline levels
Risk management through dynamic position sizing
💰 Profit and Loss Management
Take Profit: All positions close when the specified percentage above average cost is reached
Stop Loss (Optional): Protects a specified percentage of total capital
A certain ratio of available capital is used in each trade
📊 Visual Tracking System
The following information is displayed in real-time on the chart:
✅ Average cost level
✅ Profit target level
✅ Stop loss level (if active)
✅ Next pyramiding level
✅ Liquidation (capital reset) level
✅ Trend indicator
🛡️ Risk Management Features
1. Dynamic Capital Protection
Automatic exit when losses exceed a specified percentage of total capital
Complete loss scenario can be previewed through liquidation level calculation
2. Position Control System
Protection preventing multiple trades on the same bar
Double trigger prevention mechanism
Maximum position limit
3. Time Filter
Optional trading within a date range
Ideal for testing on historical data
📱 Information Panel
Information table always visible in the upper right corner of the strategy:
When Position is Open:
Number of active positions
Average cost
Current price
Total capital status
Capital loss percentage
Profit target
Stop loss level and distance
Next entry level
Liquidation level and distance
When No Position:
Market trend (Uptrend/Downtrend)
Ready to trade?
Reason for waiting
Initial position size
Target profit percentage
⚙️ Adjustable Parameters
Customizable by user:
💵 Capital Amount: Base amount to be used for each position
📊 Profit Target: Profit percentage at which to exit
🛑 Stop Loss: Usage status and maximum loss percentage
📅 Time Filter: Start and end dates for testing
💬 Trade Comments: Custom labels for each trade
📘 Understanding Leverage Effect
1. What is the Leverage Effect?
Although there's no real leverage in the spot market, when Capital Amount is increased, capital usage works like leverage:
Capital Amount 5% (1.0x): 100% capital usage with full pyramiding = All your money in trades
Capital Amount 10% (2.0x): 200% capital usage with full pyramiding = Attempting to open trades worth 2x your capital
Capital Amount 15% (3.0x): 300% capital usage with full pyramiding = Attempting to open trades worth 3x your capital
⚠️ IMPORTANT: If your capital runs out in the spot market, you cannot open new positions, therefore it's recommended to keep Capital Amount at 5% or below!
⚠️ Important Warnings
Pyramiding Risk: If price continues to decline, position grows and risk increases
Capital Requirements: Up to 10 positions can be added, requiring sufficient capital
Trend Dependency: Only works in uptrends
Backtest Results: Past performance is not a guarantee of future results
Real Trading Risks: Slippage, commissions, and market conditions can affect results
🎓 How to Use
Add the strategy to your chart
Adjust parameters according to your risk appetite
Examine past performance by backtesting
Optionally set up alerts to activate notifications
Test with paper trading first
This strategy is for educational purposes. Do your own research and only trade with capital you can afford to lose.
Disclaimer: This strategy is not financial advice. All investment decisions are the user's responsibility.
Happy trading! 📊
Optimum EMAs x2Function Review
Optimum EMAs assesses EMA-price interactions by scoring reaction percentages for bullish/bearish touches. Creates EMA bands (top: most reactive bearish EMA as resistance; bottom: most reactive bullish EMA as support) with customizable test/bull/bear fast/slow EMAs, toggles, adjustable colors/gradients, and reaction table.
Usage Write-Up
Define fast (e.g., 5-15) and slow (e.g., 15-30) EMA ranges based on strategy. Scan with Test EMA for high reaction scores. Set optima in Bull/Bear Fast/Slow inputs to form reactive EMA bands (bullish top support, bearish bottom resistance), enhancing trend signals in bull/bear markets.
ATR% Multiple From MA - Overextensions trackingATR% Multiple From MA - Quantifiable Profit Taking Indicator
This overlay indicator identifies overextended price moves by calculating how many ATR% multiples price is away from a moving average, providing objective profit-taking signals.
Formula:
A = ATR% = (ATR / Price) × 100
B = % Gain from MA = ((Price - MA) / MA) × 100
ATR% Multiple = B / A
Signals:
Yellow circle at 7x: Start scaling out partial profits
Red circle at 10x+: Heavily overextended, aggressive profit taking recommended
Stats table: Real-time ATR% Multiple, % Gain from MA, ATR%, and action status
For very volatile markets I usually go for 10x and 15x extension instead of 7x and 10x.
This method normalizes moves across different volatility environments, eliminating emotional decision-making. Historical examples include PLTR, SOFI, TSLA, NVDA which stalled after exceeding 10x.
Customizable Settings:
ATR Length (default: 14)
MA Length (default: 50)
Profit Zone thresholds (7x, 10x)
Toggle circles and MA display
% Away from x DMA% Away from X DMA
This indicator measures how far the current price is from a chosen moving average, expressed as a percentage. It helps identify overbought/oversold conditions and
mean reversion opportunities.
How It Works:
- Calculates a Simple Moving Average (SMA) for the specified period
- Measures the percentage distance between current price and the moving average
- Positive values indicate price is above the average
- Negative values indicate price is below the average
Key Features:
- Flexible Period: Customize the moving average length (default: 200 DMA)
- Percentage-Based: Standardized measurement works across all price ranges
- Visual Clarity: Blue area plot makes deviations easy to spot
- Universal Application: Works with any asset or timeframe
Trading Applications:
- Mean Reversion: Extreme values often precede reversals back to the mean
- Trend Strength: Large positive values indicate strong uptrends
- Support/Resistance: Major moving averages act as dynamic support/resistance
- Entry Timing: Buy dips when significantly below, sell rallies when extended above
- Risk Management: Avoid entries during extreme deviations
Common Settings:
- 20 DMA: Short-term trend and swing trading
- 50 DMA: Intermediate trend analysis
- 200 DMA: Long-term trend and major support/resistance (default)
Interpretation Guidelines:
- +/-5-10%: Normal price action
- +/-10-20%: Extended move, caution warranted
- +/-20%+: Extreme deviation, high probability mean reversion setup
Ideal for swing traders, mean reversion strategies, and identifying optimal entry/exit points relative to trend.
Volume Exponential Moving Averages (EMA)
Description:
This script is a simple script that plots a desired exponential moving average of buy and sell volume as a line chart with a tunable smoothing factor. There is a highlight on the plot area of either green or red to denote if the EMA of buy volume or sell volume is of a higher value. This indicator uses basic math of exponential averages and calculates volume using the formulas: "buy volume" = the product of total volume and the "closing price" minus the "low price" divided by "high price" minus the "low price" for a specific candle. Conversely, "sell volume" = the product of "total volume" and the "high price" minus the "close price" divided by "high price" minus the "low price" for a specific candle.
Utility:
This indicator is an effective way to gauge the acceleration/ deceleration of buyers and sellers in the market and can be used in combination with market structure and important levels to understand if buyers or sellers are taking over at any given time.
How to use this indicator:
There are two settings for this indicator:
1. The Length of the EMA: The length of the EMA can be adjusted based on your preference for a running number of candles' data. If you are interested to know short term changes in volume (e.g. over the past few candles at a major level) you can adjust this setting lower (~3-9 length). Conversely, if you are interested in volume trends over a greater number of candles you can increase this to your liking.
Personal preference : Because I am a short term daytrader/ scalper, I keep this setting at 6 length to see immediate changes in the acceleration or deceleration of buyers/ sellers.
2. The Smoothing Factor: The smoothing factor can be adjusted to further tune the size of trend you are interested in with 1 = No smoothing of the EMA line. Smoothing of the EMA line increases as the value for smoothing increases, resulting in a less volatile, more smooth EMA line. However, the more smooth the line, the less sensitive the EMA will be to immediate changes in volume pace. The less smoothing factor is applied, the more volatile data will be, resulting in quicker observation of shorter term trends. Again the same rules apply as the EMA length as these are similar in function: If you are interested to know short term changes in volume (e.g. over the past few candles at a major level) you can adjust this setting lower (~2-6). Conversely, if you are interested in volume trends over a greater number of candles you can increase this to your liking.
Personal preference : Because I am a short term daytrader/ scalper, I keep this setting at 2-4 smoothing factor to see immediate changes in the acceleration or deceleration of buyers/ sellers.
You should, of course, play with these settings to your exact preferences based on your trading style.
Tips for using this indicator:
General Use:
When the buy volume EMA is moving up, buyers are increasing the pace of buying and when the buy volume EMA is moving down, buyers are decreasing the pace of buying. Conversely, when the sell volume EMA is moving up, sellers are increasing the pace of selling and when the sell volume EMA is moving down, sellers are decreasing the pace of selling. The overall movement of the stock is relative to the combination of these rates. e.g. If both buyers and sellers are increasing at the same rate (EMAs slopes are roughly equal) there will be not a large change in price. If the slope of the buy volume EMA is greater than the slope of sell volume EMA, the price should move up. Conversely, if the slope of the sell volume EMA is greater than the slope of buy volume EMA, the price should move down.
Predicting pullbacks, reversals, and continuations:
This indicator allows you to see if buyers or sellers are increasing their pace, even if the stock price is in consolidation. This allows you to predict if out of the consolidation buyers or sellers are likely to win based on the momentum of the volume in consolidation. e.g. If price is in consolidation after an uptrend and the buy volume EMA starts to decrease, this could be a sign that buyers are running out of steam at this price level. Another example, If at a major support the buy volume EMA begins to trend up then buyers are accelerating the pace of buying at this level.
EMA crosses: There is something to be said about the point at which the buy volume EMA and sell volume EMA cross. This signifies that at this moment there is a shift in which the acceleration of one party outpaces that of the other and can result in increased speed of the movement of the stock price.
Considerations
Because volume changes constantly, this indicator is best to identify short term changes in volume that could impact price movements. It is not guaranteed to continue just because buyers or sellers have had a change in pace. Therefore it is advised to use this indicator in combination with significant price levels such as pivot points, or price levels from volume profile tools to identify the price zones where significant volume changes are likely to impact price movements. It is also advised to continue to monitor the changes in pace in buyers and sellers using this volume EMA indicator to determine if a change in pace is short lived or if it will continue for a longer duration.
Examples of use:
Bullish Reversal:
Bearish Continuation:
Bearish EMA Crossover: (Settings: Length 6, Smoothing factor 3)
Bullish EMA Crossover: (Settings: Length 6, Smoothing factor 4)
Michal D. Lagless Moving Average | MisinkoMasterThe 𝕸𝖎𝖈𝖍𝖆𝖑 𝕯. 𝕷𝖆𝖌𝖑𝖊𝖘𝖘 𝕸𝖔𝖛𝖎𝖓𝖌 𝕬𝖛𝖊𝖗𝖆𝖌𝖊 is my latest creation of a trend following tool, which is a bit different from the rest. By trying to de-lag the classical moving average, it gives you fast signals on changes in trend as fast as possible, keeping traders & investors always in check for potential risks they might want to avoid.
How does it work?
First we need to calculate lengths. The lengths are calcuted using a user defined input called the "Length Multiplier" and we of course need as well the length input too.
The indicator uses 10 lengths, 5 for an average price, 5 for median price.
The length for the average is the following:
length_2_avg = length_1_avg * length_multiplier
length_3_avg = length_2_avg * length_multiplier
...
and for the median lengths:
length_1_median = length_2_avg
length_2_median = length_3_avg
Here applies this rule
length_x_median < length_x_avg
This is intentional, and it is because the average is a little more reactive, while the median is a bit slower. To make up for the "slowness" of the median, we simple reduce the length of it a bit more than the average.
Now that we have our length we are ready to calculate averages and medians over their respective period. This is the a normal average from elementary school, nothing too fancy.
Now that we have all of them we match the pairs using another user defined input called "Median Weight" like so:
(Average_x * (2-median_weight) + Median_x * median_weight)/2
This gives more weight to the average (also due to the max value limit set to avoid breaking the fundational logic behind it).
After doing it to all the pairs we now average those pairs using another input called "Exponential Weight Multiplier".
The Exponential Weight Multiplier is used for weights which I will cover soon:
weight1 = weight
weight2 = weight * weight
weight3 = weight * weight * weight....
This is done until we have all the weights calculated
This gives exponentially more weight to the less lagging indicators, which is how we delag the indicator.
Then we sum all the pairs like so:
sum = pair1 * weight1 + pair2 * weight2 + pair3 * weight3 + pair4 * weight4 + pair5 * weight5
Then the sum is divided by the sum of weights, this results in us getting the final value.
Methodology & What is the actual point & how was it made?
I want to cover this one a bit deeper:
The methodology behind this was creating an indicator that would not be lagging, and would be able to avoid lag while not producing signals too often.
In many attempts in the first part, I tried using EMA, RMA, DEMA, TEMA, HMA, SMA and so on, but they were too noisy (except for SMA & RMA, but those had their flaws), so I tried the classical average taught in elementary school. This one worked better, but the noise was too high still after all this time. This made me include the median, which helped the noise, but made it far too lagging.
Here came the idea of making the median length lower and adding weights to counter the lag of the median, but it was still too lagging. This made me make the weights for lengths more exponential, while previously they were calculated using a little bit amplified sums that were alright, but nowhere near my desired result.
Using the new weights I got further, and after a bit of testing I was sattisfied with the results.
The logic for the trend was a big part in my development part, there were many I could think of, but not enough time to try them, so I stuck to the usual one, and I leave it up to YOU to beat my trend logic and get even better results.
Use Cases:
- Price/MA Crossovers
Simple, effective, useful
- Source for other indicators
This I tried myself, and it worked in a cool way, making the signals of for example RSI much smoother, so definitely try it out if you know how to code, or just simply put it in the source of the RSI.
- ROC
This trend logic stuck with me, I think you could find a way to make it good, but mainly for the people that can code in pine, trying out to combine the trend logic with ROC could work very well, do not sleep on it!
- Education
This concept is not really that complex, so for people looking for new ideas, inspiration, or just watching how trend following tools behave in general this is something that could benefit anyone, as the concept can be applied to ANYTHING, even the classical RSI, MACD, you could try even the Parabolic SAR, maybe STC or VZO, there is no limit to imagination.
- Strategy creation
Filtering this indicator with "and" conditions, or maybe even "or" or anything really could be very useful in a strategy that desires fast signals.
- Price Distance from bands
I noticed this while looking at past performance:
The stronger the trend the higher the distance from the Moving Average.
Final Notes
Watch out for mean reverting markets, as this is trend following you could get easily screwed in them.
Play around with this if it fits your desired outcome, you might find something I did not.
Hope you find it useful,
See you next time!
Ekoparaloji Trend CandlesEkoparaloji Trend Following Candles
🎯 What Does It Do?
This indicator is a candle coloring system that helps you easily identify trend direction. Complex calculations run in the background, and you simply follow the candle colors to understand trend strength.
🎨 How to Use
Read the Candle Colors:
🟢 GREEN CANDLES → Strong uptrend
Look for buying opportunities
Hold your long positions
🔴 RED CANDLES → Strong downtrend
Look for selling opportunities
Consider short positions
Color changes → Potential trend reversal signal
Review your positions
📈 Important: The White Line
The line on the chart is a dynamic support/resistance level:
Price above the line → Bullish zone
Price below the line → Bearish zone
⚙️ Customize Settings
You can adjust 4 parameters in the indicator settings:
Faster signals → Decrease periods (e.g., 20)
Smoother signals → Increase periods (e.g., 50)
Tip: Start with default settings, then optimize for your trading style.
💡 Strategy Tips
✅ Green to red transition → Take profit or exit signal
✅ Red to green transition → Look for entry opportunities
✅ Confirm with other indicators (RSI, MACD, volume, etc.)
✅ Always use stop-loss orders
⚠️ Warning!
No indicator is 100% accurate
Don't trade based solely on this indicator
Risk management should always be your priority
For educational purposes only, not financial advice
Happy trading! 📊
Qullamaggie 8EMA/21EMA/50EMA//Exponantial Moving Average - 8
//Exponantial Moving Average - 21
//Simple Moving Average - 50
Ekoparaloji Strategy Crypto Ekoparaloji Crypto Strategy - User Information Document
📊 Strategy Overview
This strategy provides long-term position management in cryptocurrency markets using the averaging down (pyramiding) technique. The basic logic is to controllably grow positions as prices decline and exit when specific profit targets are reached.
🎯 Key Features
✅ Automatic Entry System
Market direction is determined using a proprietary trend identification algorithm
Trades are only opened in uptrends
Initial position opens automatically when specific conditions are met
📈 Pyramiding Mechanism
New positions are automatically added as price decreases
Up to 10 positions can be added maximum
Each addition occurs at predetermined decline levels
Risk management through dynamic position sizing
💰 Profit and Loss Management
Take Profit: All positions close when the specified percentage above average cost is reached
Stop Loss (Optional): Protects a specified percentage of total capital
A certain ratio of available capital is used in each trade
📊 Visual Tracking System
The following information is displayed in real-time on the chart:
✅ Average cost level
✅ Profit target level
✅ Stop loss level (if active)
✅ Next pyramiding level
✅ Liquidation (capital reset) level
✅ Trend indicator
🛡️ Risk Management Features
1. Dynamic Capital Protection
Automatic exit when losses exceed a specified percentage of total capital
Complete loss scenario can be previewed through liquidation level calculation
2. Position Control System
Protection preventing multiple trades on the same bar
Double trigger prevention mechanism
Maximum position limit
3. Time Filter
Optional trading within a date range
Ideal for testing on historical data
📱 Information Panel
Information table always visible in the upper right corner of the strategy:
When Position is Open:
Number of active positions
Average cost
Current price
Total capital status
Capital loss percentage
Profit target
Stop loss level and distance
Next entry level
Liquidation level and distance
When No Position:
Market trend (Uptrend/Downtrend)
Ready to trade?
Reason for waiting
Initial position size
Target profit percentage
⚙️ Adjustable Parameters
Customizable by user:
💵 Capital Amount: Base amount to be used for each position
📊 Profit Target: Profit percentage at which to exit
🛑 Stop Loss: Usage status and maximum loss percentage
📅 Time Filter: Start and end dates for testing
💬 Trade Comments: Custom labels for each trade
📘 Understanding Leverage Effect
1. What is the Leverage Effect?
Although there's no real leverage in the spot market, when Capital Amount is increased, capital usage works like leverage:
Capital Amount 5% (1.0x): 100% capital usage with full pyramiding = All your money in trades
Capital Amount 10% (2.0x): 200% capital usage with full pyramiding = Attempting to open trades worth 2x your capital
Capital Amount 15% (3.0x): 300% capital usage with full pyramiding = Attempting to open trades worth 3x your capital
⚠️ IMPORTANT: If your capital runs out in the spot market, you cannot open new positions, therefore it's recommended to keep Capital Amount at 5% or below!
⚠️ Important Warnings
Pyramiding Risk: If price continues to decline, position grows and risk increases
Capital Requirements: Up to 10 positions can be added, requiring sufficient capital
Trend Dependency: Only works in uptrends
Backtest Results: Past performance is not a guarantee of future results
Real Trading Risks: Slippage, commissions, and market conditions can affect results
🎓 How to Use
Add the strategy to your chart
Adjust parameters according to your risk appetite
Examine past performance by backtesting
Optionally set up alerts to activate notifications
Test with paper trading first
This strategy is for educational purposes. Do your own research and only trade with capital you can afford to lose.
Disclaimer: This strategy is not financial advice. All investment decisions are the user's responsibility.
VWAP HMA Trend Execution SystemVWAP Trend Execution System
🧭 Purpose
Most traders don’t fail from bad charts — they fail from bad timing.
Jumping in too early, bailing too soon, or freezing when the real move begins.
The VWAP Trend Execution System cuts through that chaos.
It visually syncs Trend, VWAP, and Confidence — giving you instant clarity to trade with calm precision.
⚙️ The Three Core Gauges:
1. 📈 Trend Green for up, Red for down (Trend: Confirms direction)
2. 💰 VWAP Price vs. Volume Weighted Average Price. Institutional Fair Value. (Bull or Bear)
3. 🎯 Confidence Agreement between trend & VWAP. Dont fight the trend.
Bonus Feature: Confidence Turns 🟢 Confident when aligned, 🟡 Cautious when mixed.
Bonus 2: This version has the cross / confirmed direction arrow in the table.
Together, these create a clean, visual readout of the market’s health.
🧩 How to Use
Watch the Color Flow:
🟢 Green Cloud → Buyers in control.
🔴 Red Cloud → Sellers in control.
Check VWAP (Orange Line):
Price above VWAP → bullish strength.
Price below VWAP → bearish control.
Hovering at VWAP → indecision. Wait.
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Act With Discipline:
Trade only when all gauges agree.
Add size only in Confident conditions.
Trim or tighten stops when it shifts to Cautious.
⚡ Quick Reference:
🟢 Green cloud + above VWAP + Confident | Uptrend continuation | Favor long bias
🔴 Red cloud + below VWAP + Confident | Downtrend continuation | Favor short bias
Mixed colors or Cautious: Wait or scale back
Cloud flips color: Possible shift. Reassess bias next bar
🧠 Best Practices
Works best on liquid symbols (SPY, QQQ, BTC, GOLD).
Ideal timeframes: 5m to 1h.
Use at bar close for confirmation, but enjoy live responsiveness for awareness.
Combine with your existing risk management — VTES is a timing enhancer, not a signal generator.
Designed for clarity on both light and dark themes (optimized for dark).
💡 Mindset
This isn’t a prediction tool — it’s a discipline tool. Wait for agreement.
Execute when the picture is clear. Protect capital when it’s not.
🧘 Clarity over clutter. Timing over guessing.
⚖️ Disclaimer: Educational and informational use only. Not financial advice. Always use independent judgment and position sizing.
