M.O.E - Stochastic BacktesterLooking for some folks to help validate a new tool that is currently in development. It's not perfect and still in the testing phase, but the goal is to use it as a means to validate other indicators. This tool takes into account various data points such as volume, price action, and volatility signals to help identify potential trade setups. I'm hoping to gather feedback on its effectiveness, usability, and any areas for improvement before making it more widely available. If you're interested in testing this out and providing honest feedback, please let me know!
Dönemler
first 5 minutes NY session)I created this indicator myself to identify the first 5 minutes of the New York session, during which it automatically draws the lines. It's a strategy that has helped me a lot.
z-score-calkusi-v1.14z-scores incorporate the moment of N look-back bars to allow future price projection.
z-score = (X - mean)/std.deviation ; X = close
z-scores update with each new close print and with each new bar. Each new bar augments the mean and std.deviation for the N bars considered. The old Nth bar falls away from consideration with each new historical bar.
The indicator allows two other options for X: RSI or Moving Average.
NOTE: While trading use the "price" option only.
The other two options are provided for visualisation of RSI and Moving Average as z-score curves.
Use z-scores to identify tops and bottoms in the future as well as intermediate intersections through which a z-score will pass through with each new close and each new bar.
Draw lines from peaks and troughs in the past through intermediate peaks and troughs to identify projected intersections in the future. The most likely intersections are those that are formed from a line that comes from a peak in the past and another line that comes from a trough in the past. Try getting at least two lines from historical peaks and two lines from historical troughs to pass through a future intersection.
Compute the target intersection price in the future by clicking on the z-score indicator header to see a drag-able horizontal line to drag over the intersection. The target price is the last value displayed in the indicator's status bar after the closing price.
When the indicator header is clicked, a white horizontal drag-able line will appear to allow dragging the line over an intersection that has been drawn on the indicator for a future z-score projection and the associated future closing price.
With each new bar that appears, it is necessary to repeat the procedure of clicking the z-score indicator header to be able to drag the drag-able horizontal line to see the new target price for the selected intersection. The projected price will be different from the current close price providing a price arbitrage in time.
New intermediate peaks and troughs that appear require new lines be drawn from the past through the new intermediate peak to find a new intersection in the future and a new projected price. Since z-score curves are sort of cyclical in nature, it is possible to see where one has to locate a future intersection by drawing lines from past peaks and troughs.
Do not get fixated on any one projected price as the market decides which projected price will be realised. All prospective targets should be manually updated with each new bar.
When the z-score plot moves outside a channel comprised of lines that are drawn from the past, be ready to adjust to new market conditions.
z-score plots that move above the zero line indicate price action that is either rising or ranging. Similarly, z-score plots that move below the zero line indicate price action that is either falling or ranging. Be ready to adjust to new market conditions when z-scores move back and forth across the zero line.
A bar with highest absolute z-score for a cycle screams "reversal approaching" and is followed by a bar with a lower absolute z-score where close price tops and bottoms are realised. This can occur either on the next bar or a few bars later.
The indicator also displays the required N for a Normal(0,1) distribution that can be set for finer granularity for the z-score curve.This works with the Confidence Interval (CI) z-score setting. The default z-score is 1.96 for 95% CI.
Common Confidence Interval z-scores to find N for Normal(0,1) with a Margin of Error (MOE) of 1:
70% 1.036
75% 1.150
80% 1.282
85% 1.440
90% 1.645
95% 1.960
98% 2.326
99% 2.576
99.5% 2.807
99.9% 3.291
99.99% 3.891
99.999% 4.417
9-Jun-2025
Added a feature to display price projection labels at z-score levels 3, 2, 1, 0, -1, -2, 3.
This provides a range for prices available at the current time to help decide whether it is worth entering a trade. If the range of prices from say z=|2| to z=|1| is too narrow, then a trade at the current time may not be worth the risk.
Added plot for z-score moving average.
28-Jun-2025
Added Settings option for # of Std.Deviation level Price Labels to display. The default is 3. Min is 2. Max is 6.
This feature allows likelihood assessment for Fibonacci price projections from higher time frames at lower time frames. A Fibonacci price projection that falls outside |3.x| Std.Deviations is not likely.
Added Settings option for Chart Bar Count and Target Label Offset to allow placement of price labels for the standard z-score levels to the right of the window so that these are still visible in the window.
Target Label Offset allows adjustment of placement of Target Price Label in cases when the Target Price Label is either obscured by the price labels for the standard z-score levels or is too far right to be visible in the window.
Practice makes perfect.
Use this indicator at your own risk
Jigsaw Premium Trend IndicatorThe Jigsaw Premium Trend Indicator is an exclusive tool designed for premium members, offering a sophisticated trend analysis with customizable EMAs (10, 21, 55, 200) and a 200-period MA. Featuring thinner lines for clarity, this indicator allows premium users to toggle visibility of each EMA, adjust positions manually with clickable editing, and track trends dynamically as the chart moves. Perfect for identifying key market trends, it’s a must-have for advanced trading strategies.
Jigsaw Premium Trend IndicatorThe Jigsaw Premium Trend Indicator is an exclusive tool designed for premium members, offering a sophisticated trend analysis with customizable EMAs (10, 21, 55, 200) and a 200-period MA. Featuring thinner lines for clarity, this indicator allows premium users to toggle visibility of each EMA, adjust positions manually with clickable editing, and track trends dynamically as the chart moves. Perfect for identifying key market trends, it’s a must-have for advanced trading strategies.
CEO IndicatorCEO Indicator
Liquidity Levels:
PDH / PDL (Previous Day High/Low)
PWH / PWL (Previous Week High/Low)
PMH / PML (Previous Month High/Low)
DO, NYM, WO, TWO, MO (Daily/Weekly/Monthly Opens + True Opens)
Asia Midpoint (0.5) — midline between Asian session high and low
Customization: colors, opacity, line thickness
Trading Sessions:
4H Display: On the 4H timeframe and above, session boxes may appear cluttered or overlapping.
You can disable session display for higher timeframes to keep the chart clean.
Overlap: When Overlap is turned off, sessions will not be drawn on top of each
other — improving visual clarity during overlapping markets (e.g. London + New York).
Supports: Asia, Frankfurt, London, New York, Lunch
Display modes: Box, Streamlined, Fill, High-Low zones
Customized labels
Time zone auto-adjust & custom time zones
Fractals & FVG:
Automatic fractal high/low detection
Displays Fair Value Gaps (FVG) — bullish & bearish
2-Year MA + Adjustable MA + Offset MidlineProvides a very accurate macro channel to gauge tops and bottoms for Bitcoin.
unprofitable stratThe indicator is a comprehensive trend-following indicator for TradingView. It's designed to identify and trade in the direction of the market's primary trend while using a dynamic, volatility-based system for exits. It filters out counter-trend noise and provides a clear visual dashboard of market conditions.
Core Trading Strategy
The indicator's logic is based on a two-part confirmation system to ensure trades are only taken in favorable conditions.
Master Trend Filter: The indicator first determines the "master trend" by checking if the price is above or below a long-term (200-period) Exponential Moving Average (EMA). It will only look for BUY signals when the price is above this EMA (in a master bullish trend) and only look for SELL signals when the price is below it. This prevents fighting the main market current.
Entry Trigger: Once the master trend is confirmed, the indicator doesn't enter immediately. It waits for a secondary confirmation: a breakout above a recent swing high (for a BUY) or a breakdown below a recent swing low. This ensures that short-term momentum has aligned with the long-term trend before a signal is generated.
Dynamic Exit Strategy
Exits are not based on a fixed target. Instead, the indicator uses a professional-grade ATR-based Trailing Stop Loss.
This "smart" stop loss automatically trails behind a profitable trade. It moves up to lock in gains during a BUY trade but never moves down.
The distance of the stop from the price is determined by the Average True Range (ATR), meaning it gives the trade more room to breathe in volatile markets and tightens up to protect profits in calm markets.
An "EXIT" signal appears on the chart when the price finally pulls back and hits this trailing stop line.
Visual Features on the Chart
The indicator provides several visual aids to make the trading process clear and intuitive.
Custom-Plotted Candles: The indicator draws its own candlesticks that are colored based on the trade status:
Blue: An active BUY trade is in progress.
Purple: An active SELL trade is in progress.
Gray: The indicator is flat with no active trade.
Signal Labels: Clear "BUY", "SELL", and "EXIT" labels are plotted directly on the chart at the moment they occur.
Trailing Stop Line: A bright orange line appears and follows the price during a trade, showing you the exact level of your trailing stop loss.
Multi-Timeframe Table: An optional dashboard in the top-right corner displays the master trend status ("Bullish" or "Bearish") on the 1m, 5m, 15m, 1-hour, and 4-hour timeframes simultaneously.
Trend Background: An optional feature allows you to color the entire chart background light blue or purple to match the master trend direction.
2-Year MA + Scaled + % OffsetGives you a reliable channel to gauge macro tops and bottoms for Bitcoin.
Cumulative Price🎯 Cumulative Price - Usage Framework
🧭 Purpose
Cumulative Price offers a simple contextualization of price action within a daily session.
It resets to zero daily, tracking the cumulative range of price movement in ticks — a concept similar to cumulative delta, but focused purely on price activity, not volume.
🧠 Core Concept
The oscillator shows results from effort accumulate over time. Instead of measuring who is buying or selling, it reveals how far is pushing relative to zero.
🔔 Signal Types
⚖️ Zero Signal
Triggered when the oscillator crosses above or below the zero line.
📌 Interpreted as:
Price is testing fairness or market agreement.
This level is a balancing point — price may accept it (continue) or reject it (reverse).
🚩 Peak Signal
Triggered when the oscillator reaches a new extreme, defined by ATR-based thresholds.
📌 Interpreted as:
Price is undergoing strong effort — likely accumulation or distribution.
Could signal a transition, consolidation, or imminent breakout/reversal.
🧩 How to Use
Approach both signals with thoughtful market questioning:
🧐 Something significant is happening — what is it?
📈 How intense is the move? Does it align with volatility or deviate from it?
🌐 Where does this action sit in broader market context?
🧪 Analytical Tips
Zero Signals are useful for:
Identifying reversion points or fairness tests.
Monitoring price acceptance around the session midpoint.
Peak Signals help:
Spot early accumulation/distribution behavior.
Anticipate volatility expansion or fade exhaustion.
💡 Additional Thoughts
This tool does not dictate trades. Instead, it provides context.
Combine it with tools like Cumulative Delta for a layered analysis of price result and volume effort.
Use it to frame narratives, not absolutes. Ask:
"If this is happening here, what does that say about intent?"
[T] FVG Candles with Distance PriorityThis script will mark out historical FVG candles that are closest to where price is currently.
It will draw a box around the candle body at high/low and midpoint (CE) and extend the boxes right to current price.
The distance priority setting will mark historical FVGs closest to where price is currently at; for the max defined number of boxes.
The levels do not have an option to be marked as mitigated - as this indicator is intended for HTF charts, where these levels are considered "permanent" support and resistance levels.
My script//@version=5
indicator("NQ Fib + True Open Strategy ", overlay=true, max_lines_count=500)
// === Inputs ===
fibLevel1 = input.float(0.79, "79% Fib Level", minval=0, maxval=1, step=0.01)
fibLevel2 = input.float(0.85, "85% Fib Level", minval=0, maxval=1, step=0.01)
trueOpenTime = input.session("0930-1000", "True Open Time (EST)")
useVolumeFilter = input(true, "Use Volume Filter")
minVolumeRatio = input.float(1.5, "Volume Spike Ratio", minval=1, step=0.1)
trendLength = input.int(5, "Trend Leg Length", minval=1)
// === Trend Detection ===
upTrend = ta.highest(high, trendLength) > ta.highest(high, trendLength) and
ta.lowest(low, trendLength) > ta.lowest(low, trendLength)
downTrend = ta.lowest(low, trendLength) < ta.lowest(low, trendLength) and
ta.highest(high, trendLength) < ta.highest(high, trendLength)
// === Fibonacci Levels ===
swingHigh = ta.highest(high, 10)
swingLow = ta.lowest(low, 10)
priceRange = swingHigh - swingLow
fib79 = swingLow + priceRange * fibLevel1
fib85 = swingLow + priceRange * fibLevel2
// === True Open Price ===
isTrueOpenTime = time(timeframe.period, trueOpenTime)
var float trueOpenPrice = na
if isTrueOpenTime
trueOpenPrice := open
// === Volume Filter ===
volumeAvg = ta.sma(volume, 20)
validVolume = not useVolumeFilter or (volume >= volumeAvg * minVolumeRatio)
// === Entry Conditions ===
nearFib79 = math.abs(close - fib79) <= ta.atr(14) * 0.25
nearFib85 = math.abs(close - fib85) <= ta.atr(14) * 0.25
nearOpenPrice = not na(trueOpenPrice) and math.abs(close - trueOpenPrice) <= ta.atr(14) * 0.25
buySignal = upTrend and (nearFib79 or nearFib85) and nearOpenPrice and validVolume
sellSignal = downTrend and (nearFib79 or nearFib85) and nearOpenPrice and validVolume
// === Plots ===
plot(fib79, "79% Fib", color.new(color.blue, 0), linewidth=1)
plot(fib85, "85% Fib", color.new(color.purple, 0), linewidth=1)
plot(trueOpenPrice, "True Open Price", color.new(color.orange, 0), linewidth=2)
plotshape(buySignal, "Buy", shape.triangleup, location.belowbar, color.new(color.green, 0), size=size.small)
plotshape(sellSignal, "Sell", shape.triangledown, location.abovebar, color.new(color.red, 0), size=size.small)
MSFT Bias at NYSE Open (9:30 ET)have an 85% bias accuracy rate with this indicator. wait for market open
MetaSigmaMetaSigma is a cutting-edge indicator designed for traders who thrive on contrarian strategies. Built on the core principle of mean reversion, MetaSigma identifies statistically significant price extremes and signals potential turning points before the market corrects itself.
Mutant Cycle - Volatility DriverMutant cycle _ volatility Driver
Punti di volatilità settimanali massimo e minimi forti
MOE²: Sniper Entry Signal SystemMOE² General is a closed source indicator designed for active traders in Forex, Crypto, Metals, and Indices. It helps define entries, stop losses, and profit targets by combining classic price action with layered technical analysis.
The script integrates traditional tools such as exponential moving averages, volume surges, and candle pattern recognition. These are used together to validate market structure and highlight actionable trade zones. Entry areas are visually mapped on the chart and paired with logical exit levels to support clarity in decision making.
It is calibrated for short term strategies and performs best on 5 minute to 1 hour timeframes. Signal frequency is intentionally limited to maintain quality over quantity and promote disciplined trade selection.
MOE² General is built for traders who value clean visuals, straightforward logic, and risk awareness. It provides structured guidance without relying on lagging confirmations alone.
All logic is embedded within the tool. No external references or outside dependencies are required.
MA Bands with Dynamic ColorsThe chart displays the 50-day, 100-day, and 200-day moving averages (MAs).
When the 50-day MA is above both the 100-day and 200-day MAs, the chart turns green, indicating a bullish trend with increasing positive momentum.
Conversely, when the 50-day MA is below the 100-day and 200-day MAs, the chart turns red, signaling a bearish trend with negative momentum.
This color-coded system, with green and red clouds, helps traders identify the trend direction and gauge positive or negative momentum for potential trading opportunities.
3-Candle HH/HL or LH/LL (Number Labels Over Candles)What This Script Does:
This Pine Script detects 3 consecutive candlesticks that show:
Higher Highs and Higher Lows → a bullish structure
Lower Highs and Lower Lows → a bearish structure
When such a pattern is found, the script:
Marks each of the 3 candles with a number: 1, 2, and 3
Labels appear centered on each candle (at the close price)
You can adjust:
Label size (tiny → huge)
Background color (bullish/bearish)
Text color
Example:
If candles form:
Candle A: higher high & higher low
Candle B: higher than A
Candle C: higher than B
Then you’ll see 1, 2, 3 labels on those candles in green (or your selected color).
Same goes for a bearish pattern in red.
Global Risk Matrix [QuantAlgo]🟢 Overview
The Global Risk Matrix is a comprehensive macro risk assessment tool that aggregates multiple global financial indicators into a unified risk sentiment framework. It transforms diverse economic data streams (from currency strength and liquidity measures to volatility indices and commodity prices) into standardized Z-Score readings to identify market regime shifts across risk-on and risk-off conditions.
The indicator displays both a risk oscillator showing weighted average sentiment and a dynamic 2D matrix visualization that plots signal strength against momentum to reveal current market phase and historical evolution. This helps traders and investors understand broad market conditions, identify regime transitions, and align their strategies with prevailing macro risk environments across all asset classes.
🟢 How It Works
The indicator employs Z-Score normalization across various global macro components, each representing distinct aspects of market liquidity, sentiment, and economic health. Raw data from sources like DXY, S&P 500, Fed liquidity, global M2 money supply, VIX, and commodities undergoes statistical standardization. Several components are inverted (USDT.D, DXY, VIX, credit spreads, treasury bonds, gold) to align with risk-on interpretation, where positive values indicate bullish conditions.
This unique system applies configurable weights to each component based on selected asset class presets (Crypto Investor/Trader, Stock Trader, Commodity Trader, Forex Trader, Risk Parity, or Custom), creating a weighted average Z-Score. It then analyzes both signal strength and momentum direction to classify market conditions into four distinct phases: Risk-On (positive signal, rising momentum), Risk-Off (negative signal, falling momentum), Recovery (negative signal, rising momentum), and Weakening (positive signal, falling momentum). The 2D matrix visualization plots these dimensions with historical trail tracking to show regime evolution over time.
🟢 How to Use
1. Risk Oscillator Interpretation and Phase Analysis
Positive Territory (Above Zero) : Indicates risk-on conditions with capital flowing toward growth assets and higher risk tolerance
Negative Territory (Below Zero) : Signals risk-off sentiment with capital seeking safety and defensive positioning
Extreme Levels (±2.0) : Represent statistically significant deviations that often precede regime reversals or trend exhaustion
Zero Line Crosses : Mark critical transitions between risk regimes, providing early signals for portfolio rebalancing
Phase Color Coding : Green (Risk-On), Red (Risk-Off), Blue (Recovery), Yellow (Weakening) for immediate regime identification
2. Risk Matrix Visualization and Trail Analysis
Current Position Marker (⌾) : Shows real-time location in the risk/momentum space for immediate situational awareness
Historical Trail : Connected path showing recent market evolution and regime transition patterns
Quadrant Analysis : Risk-On (upper right), Risk-Off (lower left), Recovery (lower right), Weakening (upper left)
Trail Patterns : Clockwise rotation typically indicates healthy regime cycles, while erratic movement suggests uncertainty
3. Pro Tips for Trading and Investing
→ Portfolio Allocation Filter : Use Risk-On phases to increase exposure to growth assets, small caps, and emerging markets while reducing defensive positions during confirmed green phases
→ Entry Timing Enhancement : Combine Recovery phase signals with your technical analysis for optimal long entry points when macro headwinds are clearing but prices haven't fully recovered
→ Risk Management Overlay : Treat Weakening phase transitions as early warning systems to tighten stop losses, reduce position sizes, or hedge existing positions before full Risk-Off conditions develop
→ Sector Rotation Strategy : During Risk-On periods, favor cyclical sectors (technology, consumer discretionary, financials) while Risk-Off phases favor defensive sectors (utilities, consumer staples, healthcare)
→ Multi-Timeframe Confluence : Use daily matrix readings for strategic positioning while applying your regular technical analysis on lower timeframes for precise entry and exit execution
→ Divergence Detection : Watch for situations where your asset shows bullish technical patterns while the matrix shows Risk-Off conditions—these often provide the highest probability short opportunities and vice versa
My script// This Pine Script® code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// © AlgoTrade_Pro
//@version=5
indicator(title='Twin Range Filter ', overlay=true, timeframe='')
//Inputs
TRsource = input(defval=close, title='Source')
TRper1 = input.int(defval=27, minval=1, title='Fast period')
TRmult1 = input.float(defval=1.6, minval=0.1, title='Fast range')
TRper2 = input.int(defval=55, minval=1, title='Slow period')
TRmult2 = input.float(defval=2, minval=0.1, title='Slow range')
//Calculations
smoothrng(TRx, TRt, TRm) =>
TRwper = TRt * 2 - 1
TRavrng = ta.ema(math.abs(TRx - TRx ), TRt)
TRsmoothrng = ta.ema(TRavrng, TRwper) * TRm
TRsmoothrng
TRsmrng1 = smoothrng(TRsource, TRper1, TRmult1)
TRsmrng2 = smoothrng(TRsource, TRper2, TRmult2)
TRsmrng = (TRsmrng1 + TRsmrng2) / 2
rngfilt(TRx, TRr) =>
TRrngfilt = TRx
TRrngfilt := TRx > nz(TRrngfilt ) ? TRx - TRr < nz(TRrngfilt ) ? nz(TRrngfilt ) : TRx - TRr : TRx + TRr > nz(TRrngfilt ) ? nz(TRrngfilt ) : TRx + TRr
TRrngfilt
TRfilt = rngfilt(TRsource, TRsmrng)
TRupward = 0.0
TRupward := TRfilt > TRfilt ? nz(TRupward ) + 1 : TRfilt < TRfilt ? 0 : nz(TRupward )
TRdownward = 0.0
TRdownward := TRfilt < TRfilt ? nz(TRdownward ) + 1 : TRfilt > TRfilt ? 0 : nz(TRdownward )
TRSTR = TRfilt + TRsmrng
TRSTS = TRfilt - TRsmrng
TRFUB = 0.0
TRFUB := TRSTR < nz(TRFUB ) or close > nz(TRFUB ) ? TRSTR : nz(TRFUB )
TRFLB = 0.0
TRFLB := TRSTS > nz(TRFLB ) or close < nz(TRFLB ) ? TRSTS : nz(TRFLB )
TRTRF = 0.0
TRTRF := nz(TRTRF ) == TRFUB and close <= TRFUB ? TRFUB : nz(TRTRF ) == TRFUB and close >= TRFUB ? TRFLB : nz(TRTRF ) == TRFLB and close >= TRFLB ? TRFLB : nz(TRTRF ) == TRFLB and close <= TRFLB ? TRFUB : TRFUB
//Entry Signals
TRlong = ta.crossover(close, TRTRF)
TRshort = ta.crossunder(close, TRTRF)
//Plots
plotshape(TRlong, title='Long', text='BUY', style=shape.labelup, textcolor=color.white, size=size.tiny, location=location.belowbar, color=#1be600)
plotshape(TRshort, title='Short', text='SELL', style=shape.labeldown, textcolor=color.white, size=size.tiny, location=location.abovebar, color=#e60000)
Trfff = plot(TRTRF, color=color.white)
mPlot = plot(ohlc4, title='', style=plot.style_circles, linewidth=0)
longFillColor = close > TRTRF ? color.green : na
shortFillColor = close < TRTRF ? color.red : na
fill(mPlot, Trfff, title='UpTrend Highligter', color=longFillColor, transp=90)
fill(mPlot, Trfff, title='DownTrend Highligter', color=shortFillColor, transp=90)
//Alerts
alertcondition(TRlong, title='Long', message='Long')
alertcondition(TRshort, title='Short', message='Short')
//End
Heatmap w/ ATRThis script combines Heatmap Volume with a scaled ATR (Average True Range) overlay for dynamic market insight. Volume bars are color-coded based on how many standard deviations they deviate from a moving average, helping identify spikes, absorption, or anomalies.
The ATR is scaled relative to the maximum volume observed to maintain visual alignment in the same pane. This allows traders to compare price volatility (ATR) against real market activity (volume) in one view.
Use this overlay to:
Spot high-volatility, high-conviction moves (rising ATR + red/orange bars)
Detect low-volume fakeouts (high ATR, cool-colored bars)
Identify compression zones before expansion (low ATR + normal volume)
