FluxVector Liquidity Universal Trendline FluxVector Liquidity Trendline FFTL
 Summary in one paragraph 
FFTL is a single adaptive trendline for stocks ETFs FX crypto and indices on one minute to daily. It fires only when price action pressure and volatility curvature align. It is original because it fuses a directional liquidity pulse from candle geometry and normalized volume with realized volatility curvature and an impact efficiency term to modulate a Kalman like state without ATR VWAP or moving averages. Add it to a clean chart and use the colored line plus alerts. Shapes can move while a bar is open and settle on close. For conservative alerts select on bar close.
 Scope and intent 
• Markets. Major FX pairs index futures large cap equities liquid crypto top ETFs
• Timeframes. One minute to daily
• Default demo used in the publication. SPY on 30min
• Purpose. Reduce false flips and chop by gating the line reaction to noise and by using a one bar projection
• Limits. This is a strategy. Orders are simulated on standard candles only
 Originality and usefulness 
• Unique fusion. Directional Liquidity Pulse plus Volatility Curvature plus Impact Efficiency drives an adaptive gain for a one dimensional state
• Failure mode addressed. One or two shock candles that break ordinary trendlines and saw chop in flat regimes
• Testability. All windows and gains are inputs
• Portable yardstick. Returns use natural log units and range is bar high minus low
• Protected scripts. Not used. Method disclosed plainly here
 Method overview in plain language 
Base measures
• Return basis. Natural log of close over prior close. Average absolute return over a window is a unit of motion
 Components 
• Directional Liquidity Pulse DLP. Measures signed participation from body and wick imbalance scaled by normalized volume and variance stabilized
• Volatility Curvature. Second difference of realized volatility from returns highlights expansion or compression
• Impact Efficiency. Price change per unit range and volume boosts gain during efficient moves
• Energy score. Z scores of the above form a single energy that controls the state gain
• One bar projection. Current slope extended by one bar for anticipatory checks
 Fusion rule 
Weighted sum inside the energy score then logistic mapping to a gain between k min and k max. The state updates toward price plus a small flow push.
 Signal rule 
• Long suggestion and order when close is below trend and the one bar projection is above the trend
• Short suggestion and flip when close is above trend and the one bar projection is below the trend
• WAIT is implicit when neither condition holds
• In position states end on the opposite condition
 What you will see on the chart 
• Colored trendline teal for rising red for falling gray for flat
• Optional projection line one bar ahead
• Optional background can be enabled in code
• Alerts on price cross and on slope flips
 
Inputs with guidance 
Setup
• Price source. Close by default
Logic
• Flow window. Typical range 20 to 80. Higher smooths the pulse and reduces flips
• Vol window. Typical range 30 to 120. Higher calms curvature
• Energy window. Typical range 20 to 80. Higher slows regime changes
• Min gain and Max gain. Raise max to react faster. Raise min to keep momentum in chop
UI
• Show 1 bar projection. Colors for up down flat
 Properties visible in this publication 
• Initial capital 25000
• Base currency USD
• Commission percent 0.03
• Slippage 5
• Default order size method percent of equity value 3%
• Pyramiding 0
• Process orders on close off
• Calc on every tick off
• Recalculate after order is filled off
 Realism and responsible publication 
• No performance claims
• Intrabar reminder. Shapes can move while a bar forms and settle on close
• Strategy uses standard candles only
 Honest limitations and failure modes 
• Sudden gaps and thin liquidity can still produce fast flips
• Very quiet regimes reduce contrast. Use larger windows and lower max gain
• Session time uses the exchange time of the chart if you enable any windows later
• Past results never guarantee future outcomes
 Open source reuse and credits
 • None
Commodities
Aurum DCX AVE Gold and Silver StrategySummary in one paragraph
Aurum DCX AVE is a volatility break strategy for gold and silver on intraday and swing timeframes. It aligns a new Directional Convexity Index with an Adaptive Volatility Envelope and an optional USD/DXY bias so trades appear only when direction quality and expansion agree. It is original because it fuses three pieces rarely combined in one model for metals: a convexity aware trend strength score, a percentile based envelope that widens with regime heat, and an intermarket DXY filter.
Scope and intent
• Markets. Gold and silver futures or spot, other liquid commodities, major indices
• Timeframes. Five minutes to one day. Defaults to 30min for swing pace
• Default demo used in this publication. TVC:GOLD on 30m
• Purpose. Enter confirmed volatility breaks while muting chop using regime heat and USD bias
• Limits. This is a strategy. Orders are simulated on standard candles only
Originality and usefulness
• Unique fusion. DCX combines DI strength with path efficiency and curvature. AVE blends ATR with a high TR percentile and widens with DCX heat. DXY adds an intermarket bias
• Failure mode addressed. False starts inside compression and unconfirmed breakouts during USD swings
• Testability. Each component has a named input. Entry names L and S are visible in the list of trades
• Portable yardstick. Weekly ATR for stops and R multiples for targets
• Open source. Method and implementation are disclosed for community review
Method overview in plain language
You score direction quality with DCX, size an adaptive envelope with a blend of ATR and a high TR percentile, and only allow breaks that clear the band while DCX is above a heat threshold in the same direction. An optional DXY filter favors long when USD weakens and short when USD strengthens. Orders are bracketed with a Weekly ATR stop and an R multiple target, with optional trailing to the envelope.
Base measures
• Range basis. True Range and ATR over user windows. A high TR percentile captures expansion tails used by AVE
• Return basis. Not required
Components
• Directional Convexity Index DCX. Measures directional strength with DX, multiplies by path efficiency, blends a curvature term from acceleration, scales to 0 to 100, and uses a rise window
• Adaptive Volatility Envelope AVE. Midline ALMA or HMA or EMA plus bands sized by a blend of ATR and a high TR percentile. The blend weight follows volatility of volatility. Band width widens with DCX heat
• DXY Bias optional. Daily EMA trend of DXY. Long bias when USD weakens. Short bias when USD strengthens
• Risk block. Initial stop equals Weekly ATR times a multiplier. Target equals an R multiple of the initial risk. Optional trailing to AVE band
Fusion rule
• All gates must pass. DCX above threshold and rising. Directional lead agrees. Price breaks the AVE band in the same direction. DXY bias agrees when enabled
Signal rule
• Long. Close above AVE upper and DCX above threshold and DCX rising and plus DI leads and DXY bias is bearish
• Short. Close below AVE lower and DCX above threshold and DCX falling and minus DI leads and DXY bias is bullish
• Exit and flip. Bracket exit at stop or target. Optional trailing to AVE band
Inputs with guidance
Setup
• Symbol. Default TVC:GOLD (Correlation Asset for internal logic)
• Signal timeframe. Blank follows the chart
• Confirm timeframe. Default 1 day used by the bias block
Directional Convexity Index
• DCX window. Typical 10 to 21. Higher filters more. Lower reacts earlier
• DCX rise bars. Typical 3 to 6. Higher demands continuation
• DCX entry threshold. Typical 15 to 35. Higher avoids soft moves
• Efficiency floor. Typical 0.02 to 0.06. Stability in quiet tape
• Convexity weight 0..1. Typical 0.25 to 0.50. Higher gives curvature more influence
Adaptive Volatility Envelope
• AVE window. Typical 24 to 48. Higher smooths more
• Midline type. ALMA or HMA or EMA per preference
• TR percentile 0..100. Typical 75 to 90. Higher favors only strong expansions
• Vol of vol reference. Typical 0.05 to 0.30. Controls how much the percentile term weighs against ATR
• Base envelope mult. Typical 1.4 to 2.2. Width of bands
• Regime adapt 0..1. Typical 0.6 to 0.95. How much DCX heat widens or narrows the bands
Intermarket Bias
• Use DXY bias. Default ON
• DXY timeframe. Default 1 day
• DXY trend window. Typical 10 to 50
Risk
• Risk percent per trade. Reporting field. Keep live risk near one to two percent
• Weekly ATR. Default 14. Basis for stops
• Stop ATR weekly mult. Typical 1.5 to 3.0
• Take profit R multiple. Typical 1.5 to 3.0
• Trail with AVE band. Optional. OFF by default
Properties visible in this publication
• Initial capital. 20000
• Base currency. USD
• request.security lookahead off everywhere
• Commission. 0.03 percent
• Slippage. 5 ticks
• Default order size method percent of equity with value 3% of the total capital available
• Pyramiding 0
• Process orders on close ON
• Bar magnifier ON
• Recalculate after order is filled OFF
• Calc on every tick OFF
Realism and responsible publication
• No performance claims. Past results never guarantee future outcomes
• Shapes can move while a bar forms and settle on close
• Strategies use standard candles for signals and orders only
Honest limitations and failure modes
• Economic releases and thin liquidity can break assumptions behind the expansion logic
• Gap heavy symbols may prefer a longer ATR window
• Very quiet regimes can reduce signal contrast. Consider higher DCX thresholds or wider bands
• Session time follows the exchange of the chart and can change symbol to symbol
• Symbol sensitivity is expected. Use the gates and length inputs to find stable settings
Open source reuse and credits
• None
Mode
Public open source. Source is visible and free to reuse within TradingView House Rules
Legal
Education and research only. Not investment advice. You are responsible for your decisions. Test on historical data and in simulation before any live use. Use realistic costs.
Quantum Flux Universal Strategy Summary in one paragraph 
Quantum Flux Universal is a regime switching strategy for stocks, ETFs, index futures, major FX pairs, and liquid crypto on intraday and swing timeframes. It helps you act only when the normalized core signal and its guide agree on direction. It is original because the engine fuses three adaptive drivers into the smoothing gains itself. Directional intensity is measured with binary entropy, path efficiency shapes trend quality, and a volatility squash preserves contrast. Add it to a clean chart, watch the polarity lane and background, and trade from positive or negative alignment. For conservative workflows use on bar close in the alert settings when you add alerts in a later version.
 Scope and intent 
• Markets. Large cap equities and ETFs. Index futures. Major FX pairs. Liquid crypto
• Timeframes. One minute to daily
• Default demo used in the publication. QQQ on one hour
• Purpose. Provide a robust and portable way to detect when momentum and confirmation align, while dampening chop and preserving turns
• Limits. This is a strategy. Orders are simulated on standard candles only
 
Originality and usefulness 
• Unique concept or fusion. The novelty sits in the gain map. Instead of gating separate indicators, the model mixes three drivers into the adaptive gains that power two one pole filters. Directional entropy measures how one sided recent movement has been. Kaufman style path efficiency scores how direct the path has been. A volatility squash stabilizes step size. The drivers are blended into the gains with visible inputs for strength, windows, and clamps.
• What failure mode it addresses. False starts in chop and whipsaw after fast spikes. Efficiency and the squash reduce over reaction in noise.
• Testability. Every component has an input. You can lengthen or shorten each window and change the normalization mode. The polarity plot and background provide a direct readout of state.
• Portable yardstick. The core is normalized with three options. Z score, percent rank mapped to a symmetric range, and MAD based Z score. Clamp bounds define the effective unit so context transfers across symbols.
 Method overview in plain language 
The strategy computes two smoothed tracks from the chart price source. The fast track and the slow track use gains that are not fixed. Each gain is modulated by three drivers. A driver for directional intensity, a driver for path efficiency, and a driver for volatility. The difference between the fast and the slow tracks forms the raw flux. A small phase assist reduces lag by subtracting a portion of the delayed value. The flux is then normalized. A guide line is an EMA of a small lead on the flux. When the flux and its guide are both above zero, the polarity is positive. When both are below zero, the polarity is negative. Polarity changes create the trade direction.
Base measures
• Return basis. The step is the change in the chosen price source. Its absolute value feeds the volatility estimate. Mean absolute step over the window gives a stable scale.
• Efficiency basis. The ratio of net move to the sum of absolute step over the window gives a value between zero and one. High values mean trend quality. Low values mean chop.
• Intensity basis. The fraction of up moves over the window plugs into binary entropy. Intensity is one minus entropy, which maps to zero in uncertainty and one in very one sided moves.
 Components
 • Directional Intensity. Measures how one sided recent bars have been. Smoothed with RMA. More intensity increases the gain and makes the fast and slow tracks react sooner.
• Path Efficiency. Measures the straightness of the price path. A gamma input shapes the curve so you can make trend quality count more or less. Higher efficiency lifts the gain in clean trends.
• Volatility Squash. Normalizes the absolute step with Z score then pushes it through an arctangent squash. This caps the effect of spikes so they do not dominate the response.
• Normalizer. Three modes. Z score for familiar units, percent rank for a robust monotone map to a symmetric range, and MAD based Z for outlier resistance.
• Guide Line. EMA of the flux with a small lead term that counteracts lag without heavy overshoot.
 Fusion rule
 • Weighted sum of the three drivers with fixed weights visible in the code comments. Intensity has fifty percent weight. Efficiency thirty percent. Volatility twenty percent.
• The blend power input scales the driver mix. Zero means fixed spans. One means full driver control.
• Minimum and maximum gain clamps bound the adaptive gain. This protects stability in quiet or violent regimes.
 Signal rule 
• Long suggestion appears when flux and guide are both above zero. That sets polarity to plus one.
• Short suggestion appears when flux and guide are both below zero. That sets polarity to minus one.
• When polarity flips from plus to minus, the strategy closes any long and enters a short.
• When flux crosses above the guide, the strategy closes any short.
 What you will see on the chart 
• White polarity plot around the zero line
• A dotted reference line at zero named Zen
• Green background tint for positive polarity and red background tint for negative polarity
• Strategy long and short markers placed by the TradingView engine at entry and at close conditions
• No table in this version to keep the visual clean and portable
 Inputs with guidance 
 Setup 
• Price source. Default ohlc4. Stable for noisy symbols.
• Fast span. Typical range 6 to 24. Raising it slows the fast track and can reduce churn. Lowering it makes entries more reactive.
• Slow span. Typical range 20 to 60. Raising it lengthens the baseline horizon. Lowering it brings the slow track closer to price.
 
Logic 
• Guide span. Typical range 4 to 12. A small guide smooths without eating turns.
• Blend power. Typical range 0.25 to 0.85. Raising it lets the drivers modulate gains more. Lowering it pushes behavior toward fixed EMA style smoothing.
• Vol window. Typical range 20 to 80. Larger values calm the volatility driver. Smaller values adapt faster in intraday work.
• Efficiency window. Typical range 10 to 60. Larger values focus on smoother trends. Smaller values react faster but accept more noise.
• Efficiency gamma. Typical range 0.8 to 2.0. Above one increases contrast between clean trends and chop. Below one flattens the curve.
• Min alpha multiplier. Typical range 0.30 to 0.80. Lower values increase smoothing when the mix is weak.
• Max alpha multiplier. Typical range 1.2 to 3.0. Higher values shorten smoothing when the mix is strong.
• Normalization window. Typical range 100 to 300. Larger values reduce drift in the baseline.
• Normalization mode. Z score, percent rank, or MAD Z. Use MAD Z for outlier heavy symbols.
• Clamp level. Typical range 2.0 to 4.0. Lower clamps reduce the influence of extreme runs.
 Filters 
• Efficiency filter is implicit in the gain map. Raising efficiency gamma and the efficiency window increases the preference for clean trends.
• Micro versus macro relation is handled by the fast and slow spans. Increase separation for swing, reduce for scalping.
• Location filter is not included in v1.0. If you need distance gates from a reference such as VWAP or a moving mean, add them before publication of a new version.
 Alerts 
• This version does not include alertcondition lines to keep the core minimal. If you prefer alerts, add names Long Polarity Up, Short Polarity Down, Exit Short on Flux Cross Up in a later version and select on bar close for conservative workflows.
Strategy has been currently adapted for the QQQ asset with 30/60min timeframe.
 For other assets may require new optimization 
 
Properties visible in this publication
• Initial capital 25000
• Base currency Default
• Default order size method percent of equity with value 5
• Pyramiding 1
• Commission 0.05 percent
• Slippage 10 ticks
• Process orders on close ON
• Bar magnifier ON
• Recalculate after order is filled OFF
• Calc on every tick OFF
 Honest limitations and failure modes 
• Past results do not guarantee future outcomes
• Economic releases, circuit breakers, and thin books can break the assumptions behind intensity and efficiency
• Gap heavy symbols may benefit from the MAD Z normalization
• Very quiet regimes can reduce signal contrast. Use longer windows or higher guide span to stabilize context
• Session time is the exchange time of the chart
• If both stop and target can be hit in one bar, tie handling would matter. This strategy has no fixed stops or targets. It uses polarity flips for exits. If you add stops later, declare the preference
 Open source reuse and credits 
• None beyond public domain building blocks and Pine built ins such as EMA, SMA, standard deviation, RMA, and percent rank
• Method and fusion are original in construction and disclosure
 Legal 
Education and research only. Not investment advice. You are responsible for your decisions. Test on historical data and in simulation before any live use. Use realistic costs.
 Strategy add on block 
Strategy notice
Orders are simulated by the TradingView engine on standard candles. No request.security() calls are used.
 Entries and exits 
• Entry logic. Enter long when both the normalized flux and its guide line are above zero. Enter short when both are below zero
• Exit logic. When polarity flips from plus to minus, close any long and open a short. When the flux crosses above the guide line, close any short
• Risk model. No initial stop or target in v1.0. The model is a regime flipper. You can add a stop or trail in later versions if needed
• Tie handling. Not applicable in this version because there are no fixed stops or targets
 Position sizing 
• Percent of equity in the Properties panel. Five percent is the default for examples. Risk per trade should not exceed five to ten percent of equity. One to two percent is a common choice
 Properties used on the published chart 
• Initial capital 25000
• Base currency Default
• Default order size percent of equity with value 5
• Pyramiding 1
• Commission 0.05 percent
• Slippage 10 ticks
• Process orders on close ON
• Bar magnifier ON
• Recalculate after order is filled OFF
• Calc on every tick OFF
Dataset and sample size
• Test window Jan 2, 2014 to Oct 16, 2025 on QQQ one hour
• Trade count in sample 324 on the example chart
Release notes template for future updates
Version 1.1.
• Add alertcondition lines for long, short, and exit short
• Add optional table with component readouts
• Add optional stop model with a distance unit expressed as ATR or a percent of price
Notes. Backward compatibility Yes. Inputs migrated Yes.
Kz GC1! ORBStrategy that trades breakouts on GC1! futures on the 5min timeframe. It also works on MGC1! for lower drawdown and to manage Apex and Top Step accounts with the lower risk.
Risk Disclaimer:
Past results as well as strategy tester reports do not indicate future performance. Guarantees do not exist in trading. By using this strategy you risk losing all your money.
Important:
It trades all days that markets are open. Set times may be seen on settings. Trades multiple times a day sometimes.
It works on the 5 and 15min timeframe only. Results are better on 5min timeframe.
The settings are optimized already for GC1! on the 5min timeframe.
How it works:
Every trading day it measures the range of the first 15min candle of pre-selected hours. As soon as price closes above or below on the 15min timeframe, it will trade the breakout targeting a set risk to reward ratio. SL on the opposite side of the range.
  
Settings:
 
 Hourly Trading Hours: These are the times that worked best for this strategy. All boxes should be checked for best results. Excluded times were when it performed bad which is why those times have been left out.
 ORB Formation Period: This setting determines on which timeframe candle has to close outside the opening range box in order to take a trade. It's set to 15min by default because this is what worked by far the best
 Entry Type: Entries are immediate instead of waiting for a pull back to enter on a limit order. 
 Limit Orders: If enabled, the strategy will place a pending order x points from the current price, instead of a market order. Immediate orders are enabled by default for a better performance. Important: It doesn't actually place a limit order. The strategy will just wait for a pullback and then enter with a market order. It's more like a hidden limit order.
 Limit Order Offset Points: If you have limit orders enabled, this setting determines how many points from the current price the limit order will be placed.
 FVG Detection Type: How fast it detects the fair value gaps. Standard detection over immediate had better performance
 Risk Type: You can chose either between Fixed USD Amount, Risk per Trade in % or Fixed Contract Size. By default it's set to fixed contract size.
 Risk Amount (USD or Contracts): This setting is to set how many USD or how many contracts you want to risk per trade. Make sure to check which risk type you have selected before you choose the risk amount.
 Take Profit Multiplier: This is simply the total SL size in points multiplied by x.
Example: If you put 2, you get a 2:1 Risk to Reward Ratio. By Default it's set to 2.5 because this gave the best results in backtests.
 Stop Loss Padding: This is simply the buffer in points that is added to the SL for safety reasons. If you have it on 0, the SL will be at the exact price of the opposite side of the range. By default it's set to 5 because this is what delivered the best results in backtests.
 Stop Loss Placement: This determines where the stop loss gets placed for the order. It has been set to ORB Range by default as this delivered the best results.
 Max Trades Per Hour: This allows the user to decide how many trades are taken an hour. 1 is been set to default for best results
 Visual Settings: Check boxes to show orb range, FVG's, Entry points, and trade visualization boxes.
 
Backtest Settings:
For the backtest the commissions were set to 1.29USD per contract and .35USD for micros which is the highest amount Tradovate charges Margin was not accounted for because typically on prop accounts you can use way more contracts than you need for the extremely low max drawdown. Margin would be important on personal accounts but even there typically it's not an issue at all especially because this strategy runs on the 15min timeframe so it won't use a lot of contracts anyways.
Why the source code is hidden:
The source code is hidden because I invested a lot of time and money into developing this strategy and optimizing it with paid 3rd party software.
Dynamic Swing Anchored VWAP STRAT (Zeiierman/PineIndicators)Dynamic Swing Anchored VWAP STRATEGY — Zeiierman × PineIndicators (Pine Script v6) 
 A pivot-to-pivot Anchored VWAP strategy that adapts to volatility, enters long on bullish structure, and closes on bearish structure. Built for TradingView in Pine Script v6. 
Full credits to zeiierman.
 Repainting notice:  The original indicator logic is repainting. Swing labels (HH/HL/LH/LL) are finalized after enough bars have printed, so labels do  not  occur in real time. It is not possible to execute at historical label points. Treat results as educational and validate with Bar Replay and paper trading before considering any discretionary use. 
 Concept 
 
 The script identifies swing highs/lows over a user-defined lookback ( Swing Period ). When structure flips (most recent swing low is newer than the most recent swing high, or vice versa), a new regime begins.
 At each confirmed pivot, a fresh  Anchored VWAP  segment is started and updated bar-by-bar using an EWMA-style decay on price×volume and volume.
 Responsiveness is controlled by  Adaptive Price Tracking (APT) . Optionally, APT auto-adjusts with an ATR ratio so that high volatility accelerates responsiveness and low volatility smooths it.
 Longs are opened/held in bullish regimes and closed when the regime turns bearish. No short positions are taken by design.
 
 How it works (under the hood) 
 
 Swing detection:  Uses  ta.highestbars / ta.lowestbars  over  prd  to update swing highs (ph) and lows (pl), plus their bar indices (phL, plL).
 Regime logic:  If  phL > plL  → bullish regime; else → bearish regime. A change in this condition triggers a re-anchor of the VWAP at the newest pivot.
 Adaptive VWAP math:  APT is converted to an exponential decay factor ( alphaFromAPT ), then applied to running sums of price×volume and volume, producing the current VWAP estimate.
 Rendering:  Each pivot-anchored VWAP segment is drawn as a polyline and color-coded by regime. Optional structure labels (HH/HL/LH/LL) annotate the swing character.
 Orders:  On bullish flips,  strategy.entry("L")  opens/maintains a long; on bearish flips,  strategy.close("L")  exits.
 
 Inputs & controls 
 
 Swing Period (prd)  — Higher values identify larger, slower swings; lower values catch more frequent pivots but add noise.
 Adaptive Price Tracking (APT)  — Governs the VWAP’s “half-life.” Smaller APT → faster/closer to price; larger APT → smoother/stabler.
 Adapt APT by ATR ratio  — When enabled, APT scales with volatility so the VWAP speeds up in turbulent markets and slows down in quiet markets.
 Volatility Bias  — Tunes the strength of APT’s response to volatility (above 1 = stronger effect; below 1 = milder).
 Style settings  — Colors for swing labels and VWAP segments, plus line width for visibility.
 
 Trade logic summary 
 
 Entry:  Long when the swing structure turns bullish (latest swing low is more recent than the last swing high).
 Exit:  Close the long when structure turns bearish.
 Position size:   qty = strategy.equity / close × 5  (dynamic sizing; scales with account equity and instrument price). Consider reducing the multiplier for a more conservative profile.
 
 Recommended workflow 
 
 Apply to instruments with reliable volume (equities, futures, crypto; FX tick volume can work but varies by broker).
 Start on your preferred timeframe. Intraday often benefits from smaller APT (more reactive); higher timeframes may prefer larger APT (smoother).
 Begin with defaults ( prd=50, APT=20 ); then toggle “Adapt by ATR” and vary  Volatility Bias  to observe how segments tighten/loosen.
 Use Bar Replay to watch how pivots confirm and how the strategy re-anchors VWAP at those confirmations.
 Layer your own risk rules (stops/targets, max position cap, session filters) before any discretionary use.
 
 Practical tips 
 
 Context filter:  Consider combining with a higher-timeframe bias (e.g., daily trend) and using this strategy as an entry timing layer.
 First pivot preference:  Some traders prefer only the first bullish pivot after a bearish regime (and vice versa) to reduce whipsaw in choppy ranges.
 Deviations:  You can add VWAP deviation bands to pre-plan partial exits or re-entries on mean-reversion pulls.
 Sessions:  Session-based filters (RTH vs. ETH) can materially change behavior on futures and equities.
 
 Extending the script (ideas) 
 
 Add stops/targets (e.g., ATR stop below last swing low; partial profits at k×VWAP deviation).
 Introduce mirrored short logic for two-sided testing.
 Include alert conditions for regime flips or for price-VWAP interactions.
 Incorporate HTF confirmation (e.g., only long when daily VWAP slope ≥ 0).
 Throttle entries (e.g., once per regime flip) to avoid over-trading in ranges.
 
 Known limitations 
 
 Repainting:  Swing labels and pivot confirmations depend on future bars; historical labels can look “perfect.” Treat them as annotations, not executable signals.
 Execution realism:  Strategy includes commission and slippage fields, yet actual fills differ by venue/liquidity.
 No guarantees:  Past behavior does not imply future results. This publication is for research/education only and not financial advice.
 
 Defaults (backtest environment) 
 
 Initial capital: 10,000
 Commission value: 0.01
 Slippage: 1
 Overlay: true
 Max bars back: 5000; Max labels/polylines set for deep swing histories
 
 Quick checklist 
 
 Add to chart and verify that the instrument has volume.
 Use defaults, then tune  APT  and  Volatility Bias  with/without ATR adaptation.
 Observe how each pivot re-anchors VWAP and how regime flips drive entries/exits.
 Paper trade across several symbols/timeframes before any discretionary decisions.
 
 Attribution & license 
 
 Original indicator concept and logic:  Zeiierman  — please credit the author.
 Strategy wrapper and publication:  PineIndicators .
 License:  CC BY-NC-SA 4.0  (Attribution-NonCommercial-ShareAlike). Respect the license when forking or publishing derivatives.
GOLD SUPER TREND ARROW SIGNALS STRATEGY WITH PERFORMANCEThe strategy is based on combination of ATR, Moving Averages, Volatility indicators that was filtered and final strategy based on accurate arrows that catch trend and
also predict pivot points for intraday Gold ( XAUUSD ) charts.
The strategy script can be used for time frames 30 MIN, 45 MIN, 1Hour, 4 HOURS.
The goal was to create trending strategy with maximum profit and lowest drawdown.
For initial deposit $12000 time frame 30 MIN profit was 42% with maximum drawdown 6%:
  
For time frame 45 MIN profit was 30% with maximum drawdown 5%:
 
PowerTrend Pro Strategy – Gold OptimizedTired of false signals on Gold?
PowerTrend Pro combines VWAP, Supertrend, RSI, and smart MA filters with trailing stops & break-even logic to deliver high-probability trades on XAUUSD.
PowerTrend Pro Strategy is a professional-grade trading system designed to capture high-probability swing and intraday opportunities on XAUUSD (Gold) and other volatile markets.
🔑 Core Features
VWAP Anchoring – institutional fair value reference to filter trades.
Supertrend (ATR-based) – adaptive trend filter tuned for Gold’s volatility.
Multi-Timeframe RSI – confirms momentum alignment across intraday and higher timeframe.
EMA + SMA Combo – ensures trades follow strong directional bias, reducing false signals.
Dynamic Risk Management
Adjustable Take Profit / Stop Loss (%)
Trailing Stop that locks in profits on extended moves
Break-Even Logic (stop loss moves to entry once price is in profit)
⚡ Gold-Tuned Presets
XAUUSD 1H → tighter TP/SL & faster entries for active intraday trading.
XAUUSD 4H → wider ATR filter & trailing stops to capture bigger swings.
Generic Mode → works on Forex, Indices, and Crypto (fully customizable).
🎯 Why It Works
Gold is notoriously volatile — quick spikes wipe out weak strategies. PowerTrend Pro solves this by combining:
✅ Institutional bias (VWAP)
✅ Adaptive trend filter (Supertrend)
✅ Momentum confirmation (RSI MTF)
✅ Robust trend structure (EMA + SMA)
✅ Smart exits (TP, SL, trailing & breakeven)
This multi-layer confirmation makes entries stronger and keeps risk under control.
🛠️ Usage
Add the strategy to your chart.
Choose a preset (XAUUSD 1H, 4H, or Generic).
Run Strategy Tester for performance metrics.
Optimize TP/SL and ATR values for your broker & market conditions.
🔥 Pro Tip: Combine this strategy with a session filter (London/NY overlap) or volume confirmation to boost accuracy in Gold.
Hassi XAUUSD Advanced FVG EMA/BOS/RSI/Volume + Session FilterWhat it does :
This strategy automates a popular ICT-style idea on XAUUSD (Gold): trade only when price taps back into a Fair Value Gap (FVG), but filter entries with trend, structure, momentum, volume, and session rules. It manages risk with fixed TP/SL (points) and shows a compact backtest panel on chart.
Core Logic
1) Market Structure (BOS)
Detects recent swing highs/lows and flags a Break of Structure:
BOS Up when price breaks the latest swing high.
BOS Down when price breaks the latest swing low.
2) FVG Detection (3-candle)
Bullish FVG when low  > high  and low  > high .
Bearish FVG when high  < low  and high  < low .
The most recent qualifying gap is drawn as a shaded box (optional).
3) Bias & Filters
Trend Bias: price vs EMA (default 200). Longs only above EMA; shorts only below.
Momentum: optional RSI filter (default 14); avoid longs in OB & shorts in OS.
Volume: optional filter requiring current volume > SMA(20) × multiplier.
Sessions: optional London / New York (PKT) time windows.
Entries & Exits
Long Entry (all must be true)
Above EMA, RSI bullish, volume ok, session ok, BOS Up.
A recent Bullish FVG exists (within N bars).
Price taps back into the FVG (low ≤ top & close > bottom) with a bullish candle.
Short Entry (mirror)
Below EMA, RSI bearish, volume ok, session ok, BOS Down.
A recent Bearish FVG exists (within N bars).
Price taps (high ≥ bottom & close < top) with a bearish candle.
Risk / R:R
Exits use fixed points on XAUUSD (default TP 100, SL 50).
On many gold feeds 1.0 = 10 points; inputs convert to price automatically.
“One-trade-at-a-time”: a new signal won’t fire until the previous position is flat.
Chart Labels
On entry, the script plots BUY/SELL plus fixed TP/SL lines & labels anchored to the entry bar (they don’t drift with price).
Visuals & Tools
EMA line (green/red by bias).
Swing points (tiny triangles) to see structure.
FVG boxes (green/red, optional).
Session shading (subtle blue overlay).
Stats Panel (top-right):
Total Trades, TP Hits, SL Hits, Win Rate, Profit Factor, Net P&L.
Inputs (quick guide)
EMA Length (default 200)
Swing Lookback for BOS (default 5)
FVG Box Length (how far the zone extends to the right)
TP / SL (points) for XAUUSD + display Risk:Reward
Sessions (PKT): London & New York windows + toggle
Filters: Volume (multiplier), RSI (length, OB/OS)
Visibility: show/hide FVG boxes & TP/SL drawings
Alerts
Buy Signal / Sell Signal on valid entries
Position Opened / Position Closed notifications
Best Practices & Notes
Designed for XAUUSD 15-minute. You can test other timeframes, but retune TP/SL points and filters accordingly.
Broker ticks differ: if your symbol steps are not 0.1, adjust TP/SL points.
Use with a HTF confluence (e.g., D1/4H bias, key S/R, news awareness).
Backtests are approximations; real results vary with spreads, slippage, and execution.
Disclaimer: This tool is for educational purposes. It is not financial advice. Always test before using on live capital.
MACD Volume Strategy for XAUUSD (15m) [PineIndicators]The MACD Volume Strategy is a momentum-based trading system designed for XAUUSD on the 15-minute timeframe. It integrates two key market indicators: the Moving Average Convergence Divergence (MACD) and a volume-based oscillator to identify strong trend shifts and confirm trade opportunities. This strategy uses dynamic position sizing, incorporates leverage customization, and applies structured entry and exit conditions to improve risk management.
 ⚙️ Core Strategy Components 
 1️⃣ Volume-Based Momentum Calculation 
The strategy includes a custom volume oscillator to filter trade signals based on market activity. The oscillator is derived from the difference between short-term and long-term volume trends using Exponential Moving Averages (EMAs)
 
 
 Short EMA (default = 5) represents recent volume activity.
 Long EMA (default = 8) captures broader volume trends.
 Positive values indicate rising volume, supporting momentum-based trades.
 Negative values suggest weak market activity, reducing signal reliability.
 
By requiring positive oscillator values, the strategy ensures momentum confirmation before entering trades.
 2️⃣ MACD Trend Confirmation 
The strategy uses the MACD indicator as a trend filter. The MACD is calculated as:
 
 Fast EMA (16-period) detects short-term price trends.
 Slow EMA (26-period) smooths out price fluctuations to define the overall trend.
 Signal Line (9-period EMA) helps identify crossovers, signaling potential trend shifts.
 Histogram (MACD – Signal) visualizes trend strength.
 
The system generates trade signals based on MACD crossovers around the zero line, confirming bullish or bearish trend shifts.
 📌 Trade Logic & Conditions 
 🔹 Long Entry Conditions 
A buy signal is triggered when all the following conditions are met:
✅ MACD crosses above 0, signaling bullish momentum.
✅ Volume oscillator is positive, confirming increased trading activity.
✅ Current volume is at least 50% of the previous candle’s volume, ensuring market participation.
 🔻 Short Entry Conditions 
A sell signal is generated when:
✅ MACD crosses below 0, indicating bearish momentum.
✅ Volume oscillator is positive, ensuring market activity is sufficient.
✅ Current volume is less than 50% of the previous candle’s volume, showing decreasing participation.
This multi-factor approach filters out weak or false signals, ensuring that trades align with both momentum and volume dynamics.
 📏 Position Sizing & Leverage 
Dynamic Position Calculation:
Qty = strategy.equity × leverage / close price
 
 Leverage: Customizable (default = 1x), allowing traders to adjust risk exposure.
 Adaptive Sizing: The strategy scales position sizes based on account equity and market price.
 Slippage & Commission: Built-in slippage (2 points) and commission (0.01%) settings provide realistic backtesting results.
 
This ensures efficient capital allocation, preventing overexposure in volatile conditions.
🎯 Trade Management & Exits
Take Profit & Stop Loss Mechanism
Each position includes predefined profit and loss targets:
 
 Take Profit: +10% of risk amount.
 Stop Loss: Fixed at 10,100 points.
 
 
The risk-reward ratio remains balanced, aiming for controlled drawdowns while maximizing trade potential.
 Visual Trade Tracking 
To improve trade analysis, the strategy includes:
📌 Trade Markers:
 
 "Buy" label when a long position opens.
 "Close" label when a position exits.
 
📌 Trade History Boxes:
 
 Green for profitable trades.
 Red for losing trades.
 
📌 Horizontal Trade Lines:
 
 Shows entry and exit prices.
 Helps identify trend movements over multiple trades.
 
This structured visualization allows traders to analyze past performance directly on the chart.
 ⚡ How to Use This Strategy 
1️⃣ Apply the script to a XAUUSD (Gold) 15m chart in TradingView.
2️⃣ Adjust leverage settings as needed.
3️⃣ Enable backtesting to assess past performance.
4️⃣ Monitor volume and MACD conditions to understand trade triggers.
5️⃣ Use the visual trade markers to review historical performance.
The MACD Volume Strategy is designed for short-term trading, aiming to capture momentum-driven opportunities while filtering out weak signals using volume confirmation.
Ultra Moving Average Rating Trend StrategyThis is a technical analysis strategy based initially on the rating strategy, but fully adapted and converted to moving average rating.
In this case we are using: Ichimoku, SMA, EMA, ALMA, SMMA, LSMA, VWMA, DEMA, HMA, KAMA FRAMA, VIDYA, JMA, TEMA, ZLEMA, TRIMA and T3 moving averages.
With all of them together I am making an index.
Rules for entry and exit:
If % percentage of all the moving averages is telling to go long , we go long or exit short. And viceversa for short.
If there are any questions, please let me know !
Strategy Oil Z ScoreObjective is to find forward looking indicators to find good entries into major index's.
In similar vein to my Combo Z Score script I have implemented one looking at oil and oil volatility. Interestingly the script out performs WITHOUT applying the EMA in longer timeframes but under performs in shorter timeframes, for example 2007 vs 2019. Likely due to the bullish nature of the past decade (by and large). You have some options on the underlying included Oil vs OVX (Best), MOVE vs OVX and VIX vs OVX. Oil vs OVX out performs Combo Z Script. Favours Spy over QQQ or derivations (SPXL etc).
Accurate BUY & SELL 5 mins TF by RRAlways trade using 5 mins Time frame of chart.
For Buy entry always buy 1 point above the candle closing price & SL would be previous candle low or 30 points.
For Sell Entry Always Sell 1 point below the candle opening price & SL would be previous candle high or 30 points.
Do not take trades using 3 mins Time frame, as there is lot of noise. It works best with 5 mins Time frame.
I have adjusted/set according my trading pattern, if needed use the settings options to set accordingly .
Removed range highlighter to keep the chart simple.
Original Version credits to ZacVaughn
Actual Version i just set alerts and change the parameters for Crude OIL 5min Chart.
NO REPAINT.
Wait For Barclose
Scalping Trading System bot Crypto and StocksThis is a trend trading strategy scalping bot that can work with any type of market. However I concluded my tests so far with Crypto, Stocks and Forex, and with optimizations always could be found some profitable settings.
 Indicators 
SImple Moving Average
Exponential Moving Average
Keltner Channels
MACD Histogram 
Stochastics
Rules for entry
long=  Close of the candle bigger than both moving averages and close of the candle is between the top and bot levels from Keltner. At the same time the macd histogram is negative and stochastic is below 50.
short=  Close of the candle smaller than both moving averages and close of the candle is between the top and bot levels from Keltner. At the same time the macd histogram is positive and stochastic is above 50.
Rules for exit
We exit when we meet an opposite reverse order.
This strategy has no risk management inside, so use it with caution !
Full Swing Gold Vwap Macd SMO StrategyThis is a full strategy designed for gold market using 12h timeframe chart.
Its components are:
VWAP monthly
SMO oscillator
MACD histogram
Rules for entry:
For long: when enter when close of the candle is above vwap monthly, current histogram is higher than the previous one and SMO oscillator is above 0
For long: when enter when close of the candle is below vwap monthly, current histogram is lower than the previous one and SMO oscillator is below 0
Rules for exit:
We exit the trade if we get a reverse condition.
We also exit the trade based on a risk management system, both for SL and TP using % movements.
If you have any questions let me know !
SILVER (XAGUSD) TRADING STRATEGY AND SIGNALSSILVER (XAGUSD) TRADING STRATEGY AND SIGNALS 
This strategy is designed for Silver  OANDA:XAGUSD  traders and investors. 
This strategy is trend following, taking into account the movement of major stock indices such as the Volatility Index. 
This strategy also takes into account the direction of movement of the Gold asset, 
in particular, the direction of movement of Gold and changes in the volatility of Gold, as well as the current price of Gold. 
This, in combination with the main trading indicators (Moving Average, MACD, RSI), 
strengthens our  Silver Trading Strategy  and increases its efficiency and the percentage of successful trades.
The  Silver Trading Strategy  is offered for use on the 1 Hour (H1) timeframe and is suitable for active traders with the Silver  OANDA:XAGUSD  asset.
  
The  Silver Trading Strategy   FOREXCOM:XAGUSD  is suitable as a complement to your trading system and can help increase the efficiency of your Silver trading.
Full CRYPTO pack macd, rsi, obv, ema strategyThis is a simple, yet very efficient crypto strategy, adapted to 4h time frame, on big coins like ETH and BTC. However it can be adapted to other markets, timeframes etc
For this strategy I use a combination of a trend line, an oscillator, price action and volume.
This strategy has both the opportunity to go long and short.
As well, it has a leverage simulator .
The rules are the next ones:
Long : we check that current candle is ascending and above the moving average, the macd is in positive range, rsi is below overbought level and volume is bigger than the moving avg of volume.
For short, we have the opposite long rules.
If you have any questions, please let me know !
[astropark] Trend Skywalker V1 [strategy]Dear Followers,
today another awesome Swing and Scalping Trading Strategy indicator:  Trend Skywalker !
It shows a trend cloud that reacts very fast to price action, so it's perfect for trending markets: it helps a lot to find out
 
 when a trend is going to end and a new is going to start 
 when to enter again within a trending market 
 where to put your stoploss 
 
In this example below you can see the three points above:
In fact in a trending market it will highlight that:
 
 price consolidation within the could is a trend weakening signal , so you can easily spot when a trend is going to end and a new is going to start
 bullish/bearish trend cloud retests  are nice opportunity to re-enter within a trending market, especially if cloud is thick
 where to put your stoploss  ( below the cloud and/or recent low in a  buy scenario , above the cloud and/or recent high in a  sell scenario )
 
This strategy/indicator has the following options:
 
 change analysis window (the lower, the more reactive; the higher, the less reactive)
 enable/disable signals on chart
 enable/disable "more confirmations" signals filter
 enable/disable bars and background coloring based on trend
 enable/disable an automatic Trailing Stop strategy option (Automatic Stops)
 enable/disable a peak profit tracker (the max percentage profit labels)
 enable/disable highlights of trend cloud retests
 enable/disable highlights of trend cloud price breakouts
 
Here below some examples how the indicator works on many markets and timeframe.
ETH/USD 4h
EUR/USD 15m
LTC/BTC 1h
This strategy only trigger 1 buy (where to start a long trade) or 1 sell (for short trade).
Keep in mind that proper  risk management and money management  strategies are very important to manage your trades (DM me if you need any clarification on these points).
This script will let you backtest the strategy performance over the backtesting period you set in input (it may be a lower period, depending on tradingview candles limitation related to your account).
The one for setting alarms can be found by searching for the astropark's "Trend Skywalker" and then choosing the indicator with "alarms" suffix in the name.
Strategy results are calculated on the time window from February 2018 to now, so about 3 years, using 10000$ as initial capital and working at 1x leverage (so no leverage at all! If you like to use leverage, be sure to use a safe option, like 2x or 3x at most in order to have liquidation price very far).
 This is not the "Holy Grail", so use proper money and risk management strategies. 
This is a  premium indicator , so  send me a private message in order to get access to this script.
Buy - Take Profit OR Stop Loss % BasedScript looks back for a certain period of time and than enter when price close above that look back period ema. Once enter it does not care for how many times price cross above or below. Once entered, it will either hit percenatage based take profit of stop loss.
GOLD FUTURES TRADING STRATEGY AND SIGNALS WITH PERFORMANCE GOLD FUTURES  GOLD1! ,  GOLDM ,  GC  Trading Strategy And Signals, With Performance For Different Time Frames. 
We present to your attention an indicator that, based on a strategy, generates buy / sell arrow signals and a gold futures trading strategy, which has shown its effectiveness in numerous tests on different time frames.
The strategy is based on a combination of ATR, Moving Average, MACD and RSI indicators.
If you consider gold as a tool for earning then active trading on the exchange, your choice is gold futures (gold futures). This derivative almost completely copies the movement of the price of physical gold, and is used by traders around the world to obtain from the fluctuations in the price of gold.
The strategy showed the best results for timeframes: H1, H2, H4, D1.
Recommended timeframe for this strategy: D1.
The strategy uses take-profit and stop-loss, which reduces risk and allows you to effectively use its trading, as well as the process of making trading decisions and predicting the movement of the gold price.
Gold and silver futures can be used to hedge against inflation, speculative play, an alternative investment grade, or as a commercial hedging method for investors looking for opportunities beyond traditional equities and fixed income securities. 
The script can generate alters "Buy" and "Sell".
The presented indicator of signals for gold futures, as well as the strategy, can complement your existing strategy and increase its performance, and can also be considered as an independent trading strategy for gold futures contracts.
  
 Full Screenshot chart with performance here.
Amazing strategy for silver -XAGUSD, XAGEUR etcToday I bring an amazing strategy that works for 1h time frames for silver.
Its made of price actions movement combined together with MACD and simple moving average
It does not use neither stop loss/take profit levels. Instead it will always exit at the next candle after it opens a trade.
The rules are the next one :
For short condition : we have a bull candle, and candle is above the moving average, and MACD histogram is > 0 and last high0 and candle close > last high1 and, previus high1 and candle close  > last high2 
At the same time, viceversa for long condition.
In development terms, this is the formula
long1 = (close > open ) and time_cond and close > out and hist > 0 and  hist > hist  and high > high  and high  > high  and close > high  and close > high  and close > high  
short1 = (close < open)  and time_cond and close < out and hist < 0 and  hist < hist  and low < low  and low  < low   and close < low  and close < low  and close < low  
But when we enter the trade, we enter in reverse, like lets say we go long -> for this we apply the short1 condition. If we go short we apply the long1 condition.
If you have any questions , please let me know .
[astropark] DMI/ADX strategy [strategy]Dear Followers,
today I'm happy to share with you my  DMI / ADX Strategy .
It provides directional trend information, so if a bullish or a bearish trend is going to start. Statistically it works better on lower timeframes (from 5 minutes to 1 hour).
It is both a  Swing and Scalping Strategy indicator , based on a simple  trend following theory , good for trading FOREX, Indexes, Stocks, Commodities and Cryptocurrencies.
To help in Taking Profits, the strategy integrates 2 special other than bull/bear signals:
 
 Overbought and Oversold RSI Signals , which appear both as darker background (the darker the color, the more the price is in overbought/oversold) and green "ob"-"tp" / red "os"-"tp" labels (they optionally pop up only on a configurable stronger overbought/oversold condition) (you can enable/disable it optionally)
 Peak Profit Tracker , which resets every time a new trade starts and keeps track of price fluctuation during the trade: the message is don't be too greedy and take profits or lock them with a stoploss in profit (you can enable/disable it optionally)
 
You can edit many options in order to
 
 have more/less bull/bear signals
 enable/disable showing bull/bear signals
 enable/disable showing RSI TP signals (you can edit RSI length, overbought (OB) and oversold (OS) levels)
 enable/disable showing peak profits on each trade
 
The user who wants to use this strategy, especially via an automated bot, must always set a stoploss (example 150$ from entry on bitcoin ) or  use a proper risk management strategy .
This is not the "Holy Grail", so use it with caution. It's highly suggested to  use a proper money management .
This script will let you backtest performance of the indicator based on bear/bull signals.
You can find the alarms version by searching for my DMI / ADX Strategy and choosing the "alarms" named.
Here there are some examples how this DMI / ADX strategy works on many markets:
LTC/USDT 15m
BTC/USD 15m
BNB/BTC 15m
ETH/USD 15m
GOLD (XAU/USD) 15m
GOLD (XAU/USD) 1h
FB 15m
AAPL 15m
TSLA 1h
BANKNIFTY Index 5m
NIFTY 50 Index 5m
This is a  premium indicator , so  send me a private message in order to get access to this script .
BlueFX Strategy GOLD M15We are releasing this separate script file for trading Gold on the M15 time frame using our strategy.  This can now run independently from the main file instead of changing parameters and saving as a template - thus making the use of these specific settings even easier for our traders.
You can see the back testing profitability shown below, although you can not use back testing to predict the future, both the volume of trades, net profit, win rate and draw down demonstrate a solid foundation and data to move forward from.
 The strategy itself is explained in the 'Blue FX Strategy' but see below too for more info. 
Our strategy will help you identify the current trend in the markets and highlight when this is changing. The strategy itself is based upon 4 indicators lining up in total confluence to increase the probability of the trade being a success.
Absolutely no technical analysis is needed to trade this  - this is a trading tool and has solid back testing results trading in isolation - although you may also use to support your own trading - the choice is yours.
When a trade is valid - a Buy or Sell label will appear with the Entry price, SL and multiple TP's shown on the chart.
IMPORTANT note, the test results show and confirm that the most profitable exit strategy with these Gold settings is 'FT&SL' this means we enter the trade with a Stop Loss (SL) and simply hold and follow the trend (Follow Trend = FT) until a reverse signal is printed.
In our supporting video (see related ideas) you can see the impact of changing this target between multiple TP's and the net effect on both win rate and overall net profitability. 
 The Lot size will also be displayed and this is based on the risk parameters you have set personally in the calculation section. 
What is a Trading View Script?
A script is like an indicator but better, we can verify the success of our strategy by using Trading Views strategy tester function. As shown below and on the chart - you can see the 'Buy' and 'Close Buy' on the chart, supported by a live trading log showing you the entry, entry price date, volume and closing price.
This is a great function for numerous reasons; firstly, you know you are using a strategy that has provided a positive expectancy in back testing, secondly you can use this as a trading journal to support your trading too. This in itself can help you with your trading psychology - letting winning trades run is a prime example of this. Take confidence in the statistics and performance over time.
Ultimately, we believe we have saved YOU the need to firstly, find an edge and a strategy - and all of the time it takes to BACKTEST a strategy - to then find it may or may not work - and then you start again!
Disclaimer alert; Please remember past performance is exactly that - how our strategy performed over those dates tested, it is not obviously a guarantee of future performance.
Interested in access or more information?
No problem, simply drop us a DM via trading view for access information.
Thank you for reading.
Darren 
COPPER 5Mins BUY/SELL StrategyCopper Buy/Sell Indicator for Copper Future Contracts (since tested only on copper) based on Simple Moving Average.
This works based on the gap between the price and sma along with the open and close value. 
This sets target as 2 points and stop loss as 3 points. The position may reverse based on the scenario. Works well with 5 mins timeframe. 
Crude Oil Indicator [SIDD]Crude Oil Indicator is giving two signal Bullish and Bearish . Bullish signal is used to take long trade and Bearish signal is used to close existing long trade and take new short trade and so on.
To get More signal of Bullish and Bearish user must enable More Signals check box that will check crossover and cross down of price close with Gaps.
I am using 2 ATR and one ADX and Gaps and VWMA to make signal profitable with 15 minutes 1 hr ,2hr,3hr,4hr chart time frame.
I have checked last few years data for back testing. Based on past performance it doesn't work well in 30 minute and 1 day chart time frame as results are not good in back testing. I have designed this indicator for Indian crude oil context though it can be used with other market as well.
1st ATR used to find trend with price crossover.
2nd ATR ADX is used to find the trend change details only. I have taken VWMA and ATR both to consider trend change.
Highlight Gap Up and Gap Down is used to know daily market opening gap up and gap down area. Gaps act as support and resistance .
VWMA Plotted as Blue line. Rising VWMA considered as uptrend and falling VWMA considered as downtrend.
Flat VWMA considered as no trend zone. In no trend zone every second third candles cross VWMA .
User must keep the default setting for getting better results as results are back tested. If setting changed then result may vary.
I have added here back tested performance user can see those results. I have added commission and slippage as well. Past year performance not guarantee for future years result so before taking any trade trader must take conscious decision.
This indicator is available on Subscription.
PM/ DM for more information about the script access.
Use the link below to obtain access to this indicator.























