Bitmex Bitcoin BasisInspired by the Ugly Old Goat's articles about the Bitcoin basis - medium.com
with the help of @Plumptoiletduck this indicator was created to show theย Bitmex futuresย premium or discount.ย
Note you need to add in the newย futuresย ticker every 3 months.
Cari skrip untuk "Futures"
ACM22 not repaintedะะตะปะฐะป ะดะฐะฝะฝัะน ัะบัะธะฟั ะดะปั FORTS.ะะดะตะฐะปัะฝะพ ะฟะพะดะพะนะดะตั ัะตะผ,ะบัะพ ะธัะฟะพะปัะทัะตั ััะตะนะปะธะฝะณ ััะพะฟั.ะ ะพัะฝะพะฒะต ัััะฐัะตะณะธะธ ะปะตะถะธั RSI.ะะฐะบ ะฟะพ ะผะฝะต,ั
ะพัะพัะฐั ะฒะตัั ะดะปั ะฟัะพะฒะตัะบะธ ัััะฐัะตะณะธะธ ะธ ะตะต ะพะฟัะธะผะธะทะธะฐัะธะธ.ะะฐ ัะบัะธะฝะต 50 ะบะพะฝััะฐะบัะพะฒ,ัะฐะบ ััะพ ะฝะต ัะธะปัะฝะพ ัะฐะดัะนัะตัั,ะฐ ะฟัะพััะพ ะดะตะปะธัะต ะฝะฐ 50 ะธ ะฟะพะปััะธัะต ะฟะพะบะฐะทะฐัะตะปะธ ะฝะฐ 1 ะบะพะฝััะฐะบั.
Script make for futures on MICEX.U can change paramets of RSI,traling stop and stop loss .On a ps 50 futures USDollar-russian ruble.Use for testing and optimisation.
Vertical Horizontal Filter BacktestVertical Horizontal Filter was initiated by Adam White. It was first published
in a magazine called โIssues of Futuresโ in August, 1991. The Vertical Horizontal
Filter (VHF) is a very common Indicator used by traders to find out the Phase of
a Price Trend. Normally, a price trend can be in a Trending Phase or a Congestion
Phase/Choppy Movement Phase. Adam White created this particular Technical Indicator
to determine whether prices are trending in a particular direction or are they going
through a transitional period. He used it to measure the range of Futures available
in the market.
You can change long to short in the Input Settings
WARNING:
- For purpose educate only
- This script to change bars colors.
Vertical Horizontal Filter Strategy Vertical Horizontal Filter was initiated by Adam White. It was first published
in a magazine called โIssues of Futuresโ in August, 1991. The Vertical Horizontal
Filter (VHF) is a very common Indicator used by traders to find out the Phase of
a Price Trend. Normally, a price trend can be in a Trending Phase or a Congestion
Phase/Choppy Movement Phase. Adam White created this particular Technical Indicator
to determine whether prices are trending in a particular direction or are they going
through a transitional period. He used it to measure the range of Futures available
in the market.
WARNING:
- This script to change bars colors.
Vertical Horizontal Filter Vertical Horizontal Filter was initiated by Adam White. It was first published
in a magazine called โIssues of Futuresโ in August, 1991. The Vertical Horizontal
Filter (VHF) is a very common Indicator used by traders to find out the Phase of
a Price Trend. Normally, a price trend can be in a Trending Phase or a Congestion
Phase/Choppy Movement Phase. Adam White created this particular Technical Indicator
to determine whether prices are trending in a particular direction or are they going
through a transitional period. He used it to measure the range of Futures available
in the market.
BKSqueezeThis is a price volatility compression and expansion indicator that uses the ratio of the Bollinger Band and Keltner Ratio.
Red segments indicate extreme price volatility compression that can be ideal entry points for stock/futures/forex and/or options positions.
Aqua segments indicate price volatility is expanding.
Blue segments indicate price volatility is compressing - can be used as an exit point or partial scale out point.
Note that the indicator doesn't indicate direction. One suggestion is to use the DMI indicator for this purpose - really depends on how early you enter the trade.
Suggest using a time period of 15 bars for volatile stocks, such as TSLA for example, otherwise a period of 20 bars suits most stocks/futures/forex symbols.
T7 JNSARJNSAR stands for Just Nifty -0.14% Stop & Reverse. This is a Trend Following Daily Bar Trading System for NIFTY -0.14% . Original idea belongs to ILLANGO @ I coded the pine version of this system based on a request from @stocksonfire. Use it at your own risk after validation at your end. Neither me or my company is responsible for any losses you may incur using this system. Hope you like this system and enjoy trading it !!!
Updated V3 code for the T7 JNSAR system earlier published here V2 and here V1
Following updates made to the code
1. Added a 22 Period Simple moving average filter over and above the standard JNSAR value for generating trading signals. This simple filter reduces the whipsaw trades drastically along with similar improvements in the max draw down and overall profitability of the system. The SMA filter is turned ON by default but can be turned OFF by user through the settings window.
2. Backtest option is now turned ON by default.
Also am republishing the trading rules here again with some modification
1. Go Long when the daily close is above the JNSAR line. Go Short when the daily close is below the JNSAR line. JNSAR line is the varying green line overlayed over the price chart. Once a signal comes at market close enter in the direction of the signal @ market price @ next day market open.
2. Trade only Nifty -0.14% Index. This system was developed and backtested only for NIFTY -0.14% Index. So trade in its Futures or Options, as you may deem fit. My recommendation is to choose futures for simplicity. If you want to reduce the trading cost and go with options, trade with deep in the money options, preferably 2 strikes far from the spot price.
3. Trade all signals. Markets trend only 30-35% of the time and hence the system is only accurate to that extend. But system tends to make enough money, in this small trending window, to keep the overall profitability in good health. But one never knows when a big trend may come and when it comes its absolutely imperative that you take it. To ensure that, trade all signals and don't be choosy about what signals you are going to trade. Also I wouldn't recommend using your own analysis to trade this system. Too many drivers will crash the car.
4. Like all trend following systems, this system will have many whipsaws during flat markets along with large trade and account drawdowns. Also some months and even years may not be profitable. But to trade this system profitably, it is necessary to take these in one's stride and keep trading. As the backtester results from 1990 to 2017 proves, this system is profitable overall thus far. Take confidence from that objective fact.
5. Trade with only that amount of money you can afford to loose. Initial capital that you need to have to trade one lot of NIFTY -0.14% should be atleast - (Margin Money required to take and hold 1 lot position + maximum drawdown amount per lot)*1.2. Be prepared to add more if need be, but the above formula will give a rough idea of what you need to have to start trading and be in the game always.
6. Place an After Market Order @ Market Price with your broker after market close so that you get to execute the trade next trading day @ Market open to capture near similar price as the daily open price seen on the chart. This execution mode will give you the best chance to minimize the slippage and mimic the backtester results as closely as practically possible.
7. Follow all the 6 rules above religiously, as if your life depends on it. If you cant, then don't trade this system; You will certainly loose money.
Happy Trading !!! As always am looking out for your valuable feedback.
T7 JNSARUpdated code for the T7 JNSAR system earlier published here -
Following updates made to the code
1. Buy / Sell arrows now appear when the corresponding conditions are met.
2. Support for Heikin-Ashi Candles added
3. Different Backtesting Position Sizing Algorithms added for evaluation
Also am republishing the trading rules here again with some modification
1. Go Long when the daily close is above the JNSAR line. Go Short when the daily close is below the JNSAR line. JNSAR line is the varying green line overlayed over the price chart. Once a signal comes at market close enter in the direction of the signal @ market price @ next day market open.
2. Trade only Nifty Index. This system was developed and backtested only for NIFTY Index. So trade in its Futures or Options, as you may deem fit. My recommendation is to choose futures for simplicity. If you want to reduce the trading cost and go with options, trade with deep in the money options, preferably 2 strikes far from the spot price.
3. Trade all signals. Markets trend only 30-35% of the time and hence the system is only accurate to that extend. But system tends to make enough money, in this small trending window, to keep the overall profitability in good health. But one never knows when a big trend may come and when it comes its absolutely imperative that you take it. To ensure that, trade all signals and don't be choosy about what signals you are going to trade. Also I wouldn't recommend using your own analysis to trade this system. Too many drivers will crash the car.
4. Like all trend following systems, this system will have many whipsaws during flat markets along with large trade and account drawdowns. Also some months and even years may not be profitable. But to trade this system profitably, it is necessary to take these in one's stride and keep trading. As the backtester results from 1990 to 2016 proves, this system is profitable overall thus far. Take confidence from that objective fact.
5. Trade with only that amount of money you can afford to loose. Initial capital that you need to have to trade one lot of NIFTY should be atleast - (Margin Money required to take and hold 1 lot position + maximum drawdown amount per lot)*1.2. Be prepared to add more if need be, but the above formula will give a rough idea of what you need to have to start trading and be in the game always.
6. Place an After Market Order @ Market Price with your broker after market close so that you get to execute the trade next trading day @ Market open to capture near similar price as the daily open price seen on the chart. This execution mode will give you the best chance to minimise the slippage and mimic the backtester results as closely as practically possible.
7. Follow all the 6 rules above religiously, as if your life depends on it. If you cant, then don't trade this system; You will certainly loose money.
Happy Trading !!! As always am looking out for your valuable feedback.
T7 JNSARJNSAR stands for Just Nifty Stop & Reverse. This is a trend following daily bar trading system for NIFTY. Original idea belongs to ILLANGO @ I coded the pine version of this system based on a request from @stocksonfire. Use it at your own risk after validation at your end. Neither me or my company is responsible for any losses you may incur using this system. Hope you like this system and enjoy trading it !!!
While trading this system you must follow these simple rules.
1. Go Long when the daily close is above the JNSAR line. Go Short when the daily close is below the JNSAR line. JNSAR line is the varying green line overlayed over the price chart. Once a signal comes at market close enter in the direction of the signal @ market price @ next day market open.
2. Trade only Nifty Index. This system was developed and backtested only for NIFTY Index. So trade in its Futures or Options, as you may deem fit. My recommendation is to choose futures for simplicity. If you want to reduce the trading cost and go with options, trade with deep in the money options, preferably 2 strikes far from the spot price.
3. Trade all signals. Markets trend only 30-35% of the time and hence the system is only accurate to that extend. But system tends to make enough money, in this small trending window, to keep the overall profitability in good health. But one never knows when a big trend may come and when it comes its absolutely imperative that you take it. To ensure that, trade all signals and don't be choosy about what signals you are going to trade. Also I wouldn't recommend using your own analysis to trade this system. Too many drivers will crash the car.
4. Like all trend following systems, this system will have many whipsaws during flat markets along with large trade and account drawdowns. Also some months and even years may not be profitable. But to trade this system profitably, it is necessary to take these in one's stride and keep trading. As the backtester results from 1990 to 2016 proves, this system is profitable overall thus far. Take confidence from that objective fact.
5. Initial capital that you need to have to trade one lot of NIFTY should be atleast - (Margin Money required to take and hold 1 lot position + maximum drawdown amount per lot)*1.2. Be prepared to add more if need be, but the above formula will give a rough idea of what you need to have to start trading and be in the game always.
6. Follow all the 5 rules above religiously as if your life depends on it. If you cant, then don't trade this system; You will certainly loose money.
Accumulation Swing Index The Accumulation Swing Index is a cumulative total of the Swing Index.
The Accumulation Swing Index was developed by Welles Wilder.
The SwingIndex function was developed to help cut through the maze of
Open, High, Low and Close prices to indicate the real strength and direction
of the market. The Swing Index function looks at the Open, High, Low and
Close values for a two-bar period. The theory is that there are four cross-bar
and one intra-bar comparisons that are strong indicators of an up or down day.
The Swing Index returns a number between -100 and 100. If the factors point toward
an up day, then the function value will be positive and vice versa. In this way,
the Swing Index gives us definite short-term swing points, and it can be used to
supplement other methods as a breakout indicator. A breakout is indicated when the
value of the Accumulation Swing Index (ASI) exceeds the ASI value on the day when a
previous significant High Swing Point was made. A downside breakout is indicated when
the value of the ASI drops below the ASI value on a day when a previous significant
low swing point was made.
Since only futures have a relative daily limit value, this function only makes sense
when applied to a futures contract. If you use this function and it only plots a zero
flat line, check the Daily Limit value.
Accumulation Swing Index (ASI) The Accumulation Swing Index is a cumulative total of the Swing Index.
The Accumulation Swing Index was developed by Welles Wilder.
The SwingIndex function was developed to help cut through the maze of
Open, High, Low and Close prices to indicate the real strength and direction
of the market. The Swing Index function looks at the Open, High, Low and
Close values for a two-bar period. The theory is that there are four cross-bar
and one intra-bar comparisons that are strong indicators of an up or down day.
The Swing Index returns a number between -100 and 100. If the factors point toward
an up day, then the function value will be positive and vice versa. In this way,
the Swing Index gives us definite short-term swing points, and it can be used to
supplement other methods as a breakout indicator. A breakout is indicated when the
value of the Accumulation Swing Index (ASI) exceeds the ASI value on the day when a
previous significant High Swing Point was made. A downside breakout is indicated when
the value of the ASI drops below the ASI value on a day when a previous significant
low swing point was made.
Since only futures have a relative daily limit value, this function only makes sense
when applied to a futures contract. If you use this function and it only plots a zero
flat line, check the Daily Limit value.
AlgoPilotX - Squeeze Confluence PROThis indicator combines multiple squeeze models into one powerful signal engine. Traditional squeeze setups (like TTM Squeeze) identify when price volatility contracts and is โready to fire.โ Instead of relying on a single squeeze method, this tool merges three different squeeze models:
BB/KC Squeeze โ Bollinger Bands inside Keltner Channels (classic & TTM logic).
Donchian Squeeze โ Bollinger Bands inside Donchian Channels.
TTM Proxy โ same BB/KC logic, extended for confirmation.
It then checks for confluence โ meaning a squeeze is only considered valid when 2 or more models agree. Once the squeeze releases, the direction is determined by MACD momentum.
โ
Buy signals : appear as green triangles when a squeeze releases to the upside.
โ Sell signals : appear as red triangles when a squeeze releases to the downside.
๐ด Red dots : squeeze is ON (volatility contraction).
๐ข Green dots : squeeze is released (volatility expansion).
A built-in dashboard panel shows:
Status of each squeeze model (ON/OFF).
Momentum bias (Bullish / Bearish / Neutral).
Confluence strength (0โ3).
Final Buy/Sell/Wait recommendation.
๐ How to Use
Add to your chart โ works on all timeframes and symbols (stocks, options, crypto, forex, futures).
Watch the squeeze dots:
๐ด Red = market is coiling (low volatility).
๐ข Green = market is expanding (squeeze released).
Follow Buy/Sell signals:
โ
Green triangle = bullish breakout probability.
โ Red triangle = bearish breakdown probability.
Check the dashboard (top right):
If multiple squeeze models agree (Confluence โฅ 2) โ signal strength is higher.
Momentum must align with the breakout direction (Bullish vs Bearish).
Best practice:
Use alongside support/resistance, volume, or trend filters.
Confirm with higher-timeframe bias before trading lower-timeframe signals.
Adjust BB/KC/Donchian lengths in settings to fit your assetโs volatility profile.
โ ๏ธ Disclaimer
This is a research & educational tool. It does not guarantee profits. Always use proper risk management and confirm signals with your own strategy.
SuperSmoother MA OscillatorSuperSmoother MA Oscillator - Ehlers-Inspired Lag-Minimized Signal Framework
Overview
The SuperSmoother MA Oscillator is a crossover and momentum detection framework built on the pioneering work of John F. Ehlers, who introduced digital signal processing (DSP) concepts into technical analysis. Traditional moving averages such as SMA and EMA are prone to two persistent flaws: excessive lag, which delays recognition of trend shifts, and high-frequency noise, which produces unreliable whipsaw signals. Ehlersโ SuperSmoother filter was designed to specifically address these flaws by creating a low-pass filter with minimal lag and superior noise suppression, inspired by engineering methods used in communications and radar systems.
This oscillator extends Ehlersโ foundation by combining the SuperSmoother filter with multi-length moving average oscillation, ATR-based normalization, and dynamic color coding. The result is a tool that helps traders identify market momentum, detect reliable crossovers earlier than conventional methods, and contextualize volatility and phase shifts without being distracted by transient price noise.
Unlike conventional oscillators, which either oversimplify price structure or overload the chart with reactive signals, the SuperSmoother MA Oscillator is designed to balance responsiveness and stability. By preprocessing price data with the SuperSmoother filter, traders gain a signal framework that is clean, robust, and adaptable across assets and timeframes.
Theoretical Foundation
Traditional MA oscillators such as MACD or dual-EMA systems react to raw or lightly smoothed price inputs. While effective in some conditions, these signals are often distorted by high-frequency oscillations inherent in market data, leading to false crossovers and poor timing. The SuperSmoother approach modifies this dynamic: by attenuating unwanted frequencies, it preserves structural price movements while eliminating meaningless noise.
This is particularly useful for traders who need to distinguish between genuine market cycles and random short-term price flickers. In practical terms, the oscillator helps identify:
Early trend continuations (when fast averages break cleanly above/below slower averages).
Preemptive breakout setups (when compressed oscillator ranges expand).
Exhaustion phases (when oscillator swings flatten despite continued price movement).
Its multi-purpose design allows traders to apply it flexibly across scalping, day trading, swing setups, and longer-term trend positioning, without needing separate tools for each.
The oscillatorโs visual system - fast/slow lines, dynamic coloration, and zero-line crossovers - is structured to provide trend clarity without hiding nuance. Strong green/red momentum confirms directional conviction, while neutral gray phases emphasize uncertainty or low conviction. This ensures traders can quickly gauge the market state without losing access to subtle structural signals.
How It Works
The SuperSmoother MA Oscillator builds signals through a layered process:
SuperSmoother Filtering (Ehlersโ Method)
At its core lies Ehlersโ two-pole recursive filter, mathematically engineered to suppress high-frequency components while introducing minimal lag. Compared to traditional EMA smoothing, the SuperSmoother achieves better spectral separation - it allows meaningful cyclical market structures to pass through, while eliminating erratic spikes and aliasing. This makes it a superior preprocessing stage for oscillator inputs.
Fast and Slow Line Construction
Within the oscillator framework, the filtered price series is used to build two internal moving averages: a fast line (short-term momentum) and a slow line (longer-term directional bias). These are not plotted directly on the chart - instead, their relationship is transformed into the oscillator values you see.
The interaction between these two internal averages - crossovers, separation, and compression - forms the backbone of trend detection:
Uptrend Signal : Fast MA rises above the slow MA with expanding distance, generating a positive oscillator swing.
Downtrend Signal : Fast MA falls below the slow MA with widening divergence, producing a negative oscillator swing.
Neutral/Transition : Lines compress, flattening the oscillator near zero and often preceding volatility expansion.
This design ensures traders receive the information content of dual-MA crossovers while keeping the chart visually clean and focused on the oscillatorโs dynamics.
ATR-Based Normalization
Markets vary in volatility. To ensure the oscillator behaves consistently across assets, ATR (Average True Range) normalization scales outputs relative to prevailing volatility conditions. This prevents the oscillator from appearing overly sensitive in calm markets or too flat during high-volatility regimes.
Dynamic Color Coding
Color transitions reflect underlying market states:
Strong Green : Bullish alignment, momentum expanding.
Strong Red : Bearish alignment, momentum expanding.
These visual cues allow traders to quickly gauge trend direction and strength at a glance, with expanding colors indicating increasing conviction in the underlying momentum.
Interpretation
The oscillator offers a multi-dimensional view of price dynamics:
Trend Analysis : Fast/slow line alignment and zero-line interactions reveal trend direction and strength. Expansions indicate momentum building; contractions flag weakening conditions or potential reversals.
Momentum & Volatility : Rapid divergence between lines reflects increasing momentum. Compression highlights periods of reduced volatility and possible upcoming expansion.
Cycle Awareness : Because of Ehlersโ DSP foundation, the oscillator captures market cycles more cleanly than conventional MA systems, allowing traders to anticipate turning points before raw price action confirms them.
Divergence Detection : When oscillator momentum fades while price continues in the same direction, it signals exhaustion - a cue to tighten stops or anticipate reversals.
By focusing on filtered, volatility-adjusted signals, traders avoid overreacting to noise while gaining early access to structural changes in momentum.
Strategy Integration
The SuperSmoother MA Oscillator adapts across multiple trading approaches:
Trend Following
Enter when fast/slow alignment is strong and expanding:
A fast line crossing above the slow line with expanding green signals confirms bullish continuation.
Use ATR-normalized expansion to filter entries in line with prevailing volatility.
Breakout Trading
Periods of compression often precede breakouts:
A breakout occurs when fast lines diverge decisively from slow lines with renewed green/red strength.
Exhaustion and Reversals
Oscillator divergence signals weakening trends:
Flattening momentum while price continues trending may indicate overextension.
Traders can exit or hedge positions in anticipation of corrective phases.
Multi-Timeframe Confluence
Apply the oscillator on higher timeframes to confirm the directional bias.
Use lower timeframes for refined entries during compression โ expansion transitions.
Technical Implementation Details
SuperSmoother Algorithm (Ehlers) : Recursive two-pole filter minimizes lag while removing high-frequency noise.
Oscillator Framework : Fast/slow MAs derived from filtered prices.
ATR Normalization : Ensures consistent amplitude across market regimes.
Dynamic Color Engine : Aligns visual cues with structural states (expansion and contraction).
Multi-Factor Analysis : Combines crossover logic, volatility context, and cycle detection for robust outputs.
This layered approach ensures the oscillator is highly responsive without overloading charts with noise.
Optimal Application Parameters
Asset-Specific Guidance:
Forex : Normalize with moderate ATR scaling; focus on slow-line confirmation.
Equities : Balance responsiveness with smoothing; useful for capturing sector rotations.
Cryptocurrency : Higher ATR multipliers recommended due to volatility.
Futures/Indices : Lower frequency settings highlight structural trends.
Timeframe Optimization:
Scalping (1-5min) : Higher sensitivity, prioritize fast-line signals.
Intraday (15m-1h) : Balance between fast/slow expansions.
Swing (4h-Daily) : Focus on slow-line momentum with fast-line timing.
Position (Daily-Weekly) : Slow lines dominate; fast lines highlight cycle shifts.
Performance Characteristics
High Effectiveness:
Trending environments with moderate-to-high volatility.
Assets with steady liquidity and clear cyclical structures.
Reduced Effectiveness:
Flat/choppy conditions with little directional bias.
Ultra-short timeframes (<1m), where noise dominates.
Integration Guidelines
Confluence : Combine with liquidity zones, order blocks, and volume-based indicators for confirmation.
Risk Management : Place stops beyond slow-line thresholds or ATR-defined zones.
Dynamic Trade Management : Use expansions/contractions to scale position sizes or tighten stops.
Multi-Timeframe Confirmation : Filter lower-timeframe entries with higher-timeframe momentum states.
Disclaimer
The SuperSmoother MA Oscillator is an advanced trend and momentum analysis tool, not a guaranteed profit system. Its effectiveness depends on proper parameter settings per asset and disciplined risk management. Traders should use it as part of a broader technical framework and not in isolation.
EvoTrend-X Indicator โ Evolutionary Trend Learner ExperimentalEvoTrend-X Indicator โ Evolutionary Trend Learner
NOTE: This is an experimental Pine Script v6 port of a Python prototype. Pine wasnโt the original research language, so there may be small quirksโyour feedback and bug reports are very welcome. The model is non-repainting, MTF-safe (lookahead_off + gaps_on), and features an adaptive (fitness-based) candidate selector, confidence gating, and a volatility filter.
โธป
What it is
EvoTrend-X is adaptive trend indicator that learns which moving-average length best fits the current market. It maintains a small โpopulationโ of fast EMA candidates, rewards those that align with price momentum, and continuously selects the best performer. Signals are gated by a multi-factor Confidence score (fitness, strength vs. ATR, MTF agreement) and a volatility filter (ATR%). You get a clean Fast/Slow pair (for the currently best candidate), optional HTF filter, a fitness ribbon for transparency, and a themed info panel with a one-glance STATUS readout.
Core outputs
โข Selected Fast/Slow EMAs (auto-chosen from candidates via fitness learning)
โข Spread cross (Fast โ Slow) โ visual BUY/SELL markers + alert hooks
โข Confidence % (0โ100): Fitness โ Distance vs. ATR โ MTF agreement
โข Gates: Trend regime (Kaufman ER), Volatility (ATR%), MTF filter (optional)
โข Candidate Fitness Ribbon: shows which lengths the learner currently prefers
โข Export plot: hidden series โEvoTrend-X Export (spread)โ for downstream use
โธป
Why itโs different
โข Evolutionary learning (on-chart): Each candidate EMA length gets rewarded if its slope matches price change and penalized otherwise, with a gentle decay so the model forgets stale regimes. The best fitness wins the right to define the displayed Fast/Slow pair.
โข Confidence gate: Signals donโt light up unless multiple conditions concur: learned fitness, spread strength vs. volatility, and (optionally) higher-timeframe trend.
โข Volatility awareness: ATR% filter blocks low-energy environments that cause death-by-a-thousand-whipsaws. Your โwhy no signal?โ answer is always visible in the STATUS.
โข Preset discipline, Custom freedom: Presets set reasonable baselines for FX, equities, and crypto; Custom exposes all knobs and honors your inputs one-to-one.
โข Non-repainting rigor: All MTF calls use lookahead_off + gaps_on. Decisions use confirmed bars. No forward refs. No conditional ta.* pitfalls.
โธป
Presets (and what they do)
โข FX 1H (Conservative): Medium candidates, slightly higher MinConf, modest ATR% floor. Good for macro sessions and cleaner swings.
โข FX 15m (Active): Shorter candidates, looser MinConf, higher ATR% floor. Designed for intraday velocity and decisive sessions.
โข Equities 1D: Longer candidates, gentler volatility floor. Suits index/large-cap trend waves.
โข Crypto 1H: Mid-short candidates, higher ATR% floor for 24/7 chop, stronger MinConf to avoid noise.
โข Custom: Your inputs are used directly (no override). Ideal for systematic tuning or bespoke assets.
โธป
How the learning works (at a glance)
1. Candidates: A small set of fast EMA lengths (e.g., 8/12/16/20/26/34). Slow = Fast ร multiplier (default ร2.0).
2. Reward/decay: If price change and the candidateโs Fast slope agree (both up or both down), its fitness increases; otherwise decreases. A decay constant slowly forgets the distant past.
3. Selection: The candidate with highest fitness defines the displayed Fast/Slow pair.
4. Signal engine: Crosses of the spread (Fast โ Slow) across zero mark potential regime shifts. A Confidence score and gates decide whether to surface them.
โธป
Controls & what they mean
Learning / Regime
โข Slow length = Fast ร: scales the Slow EMA relative to each Fast candidate. Larger multiplier = smoother regime detection, fewer whipsaws.
โข ER length / threshold: Kaufman Efficiency Ratio; above threshold = โTrendingโ background.
โข Learning step, Decay: Larger step reacts faster to new behavior; decay sets how quickly the past is forgotten.
Confidence / Volatility gate
โข Min Confidence (%): Minimum score to show signals (and fire alerts). Raising it filters noise; lowering it increases frequency.
โข ATR length: The ATR window for both the ATR% filter and strength normalization. Shorter = faster, but choppier.
โข Min ATR% (percent): ATR as a percentage of price. If ATR% < Min ATR% โ status shows BLOCK: low vola.
MTF Trend Filter
โข Use HTF filter / Timeframe / Fast & Slow: HTF Fast>Slow for longs, Fast threshold; exit when spread flips or Confidence decays below your comfort zone.
2) FX index/majors, 15m (active intraday)
โข Preset: FX 15m (Active).
โข Gate: MinConf 60โ70; Min ATR% 0.15โ0.30.
โข Flow: Focus on session opens (LDN/NY). The ribbon should heat up on shorter candidates before valid crosses appearโgood early warning.
3) SPY / Index futures, 1D (positioning)
โข Preset: Equities 1D.
โข Gate: MinConf 55โ65; Min ATR% 0.05โ0.12.
โข Flow: Use spread crosses as regime flags; add timing from price structure. For adds, wait for ER to remain trending across several bars.
4) BTCUSD, 1H (24/7)
โข Preset: Crypto 1H.
โข Gate: MinConf 70โ80; Min ATR% 0.20โ0.35.
โข Flow: Crypto chopsโvolatility filter is your friend. When ribbon and HTF OK agree, favor continuation entries; otherwise stand down.
โธป
Reading the Info Panel (and fixing โno signalsโ)
The panel is your self-diagnostic:
โข HTF OK? False means the higher-timeframe EMAs disagree with your intended side.
โข Regime: If โChopโ, ER < threshold. Consider raising the threshold or waiting.
โข Confidence: Heat-colored; if below MinConf, the gate blocks signals.
โข ATR% vs. Min ATR%: If ATR% < Min ATR%, status shows BLOCK: low vola.
โข STATUS (composite):
โข BLOCK: low vola โ increase Min ATR% down (i.e., allow lower vol) or wait for expansion.
โข BLOCK: HTF filter โ disable HTF or align with the HTF tide.
โข BLOCK: confidence โ lower MinConf slightly or wait for stronger alignment.
โข OK โ youโll see markers on valid crosses.
โธป
Alerts
Two static alert hooks:
โข BUY cross โ spread crosses up and all gates (ER, Vol, MTF, Confidence) are open.
โข SELL cross โ mirror of the above.
Create them once from โAdd Alertโ โ choose the condition by name.
โธป
Exporting to other scripts
In your other Pine indicators/strategies, add an input.source and select EvoTrend-X โ โEvoTrend-X Export (spread)โ. Common uses:
โข Build a rule: only trade when exported spread > 0 (trend filter).
โข Combine with your oscillator: oscillator oversold and spread > 0 โ buy bias.
โธป
Best practices
โข Let it learn: Keep Learning step moderate (0.4โ0.6) and Decay close to 1.0 (e.g., 0.99โ0.997) for smooth regime memory.
โข Respect volatility: Tune Min ATR% by asset and timeframe. FX 1H โ 0.10โ0.20; crypto 1H โ 0.20โ0.35; equities 1D โ 0.05โ0.12.
โข MTF discipline: HTF filter removes lots of โalmostโ trades. If you prefer aggressive entries, turn it off and rely more on Confidence.
โข Confidence as throttle:
โข 40โ60%: exploratory; expect more signals.
โข 60โ75%: balanced; good daily driver.
โข 75โ90%: selective; catch the clean stuff.
โข 90โ100%: only A-setups; patient mode.
โข Watch the ribbon: When shorter candidates heat up before a cross, momentum is forming. If long candidates dominate, youโre in a slower trend cycle.
โธป
Non-repainting & safety notes
โข All request.security() calls use lookahead=barmerge.lookahead_off, gaps=barmerge.gaps_on.
โข No forward references; decisions rely on confirmed bar data.
โข EMA lengths are simple ints (no series-length errors).
โข Confidence components are computed every bar (no conditional ta.* traps).
โธป
Limitations & tips
โข Chop happens: ER helps, but sideways microstructure can still flickerโuse Confidence + Vol filter as brakes.
โข Presets โ oracle: Theyโre sensible baselines; always tune MinConf and Min ATR% to your venue and session.
โข Theme โAutoโ: Pine cannot read chart theme; โAutoโ defaults to a Dark-friendly palette.
โธป
Publisherโs Screenshots Checklist
1) FX swing โ EURUSD 1H
โข Preset: FX 1H (Conservative)
โข Params: MinConf=70, ATR Len=14, Min ATR%=0.12, MTF ON (TF=4H, 20/50)
โข Show: Clear BUY cross, STATUS=OK, green regime background; Fitness Ribbon visible.
2) FX intraday โ GBPUSD 15m
โข Preset: FX 15m (Active)
โข Params: MinConf=60, ATR Len=14, Min ATR%=0.20, MTF ON (TF=60m)
โข Show: SELL cross near London session open. HTF lines enabled (translucent).
โข Caption: โGBPUSD 15m โข Active session sell with MTF alignment.โ
3) Indices โ SPY 1D
โข Preset: Equities 1D
โข Params: MinConf=60, ATR Len=14, Min ATR%=0.08, MTF ON (TF=1W, 20/50)
โข Show: Longer trend run after BUY cross; regime shading shows persistence.
โข Caption: โSPY 1D โข Trend run after BUY cross; weekly filter aligned.โ
4) Crypto โ BINANCE:BTCUSDT 1H
โข Preset: Crypto 1H
โข Params: MinConf=75, ATR Len=14, Min ATR%=0.25, MTF ON (TF=4H)
โข Show: BUY cross + quick follow-through; Ribbon warming (reds/yellows โ greens).
โข Caption: โBTCUSDT 1H โข Momentum break with high confidence and ribbon turning.โ
SMC BOS - Structure Breaks & Median Continuation ProjectionsThis tool shows what usually happens after a Break of Structure (BOS).
It scans past BOS events on your chart, finds the ones most similar to the latest break (using ATR to filter by volatility), and then plots the median continuation path.
Optional percentile bands (P10โP90) display the possible range of outcomes around the median.
Key features:
โข Automatic detection of bullish and bearish BOS events
โข Library of past BOS with adjustable size and spacing
โข ATR-based similarity and recency weighting
โข Median continuation projections with optional percentile bands
โข Customizable colors, signals, and stats table
โข Works on any market and timeframe
Use cases:
โข See how price typically behaves after a BOS
โข Support SMC analysis with data-driven projections
โข Improve trade planning by visualizing likely continuations
โข Apply across crypto, forex, stocks, and futures
Originality:
Instead of only marking BOS, this script learns from history and projects forward the median path of the most similar past cases, adjusted for volatility. It turns BOS signals into practical continuation scenarios.
Instructions:
Add the indicator to your chart. When a BOS is detected, the projection is drawn automatically.
Use the settings to adjust the library, ATR weighting, projection style, percentile bands, and the display of signals or stats.
For questions or customization, contact Julien Eche (Julien_Eche) on TradingView.
ARO Pro โ Adaptive Regime OscillatorARO Pro โ Adaptive Regime Oscillator (v6)
ARO Pro turns your chart into a context-aware decision system. It classifies every bar as Trending (up or down) or Ranging in real time, then switches its math to match the regime: trend strength is measured with an ATR-normalized EMA spread, while range behavior is tracked with a center-based RSI oscillator. The result is cleaner entries, fewer false signals, and faster reads on regime shiftsโwithout repainting.
โธป
How it works (under the hood)
1. Regime Detection (Kaufman ER):
ARO computes Kaufmanโs Efficiency Ratio (ER) over a user-defined length.
- ER > threshold โ Trending (direction from EMA fast vs. EMA slow)
- ER โค threshold โ Ranging
2. Adaptive Oscillator Core:
- Trend mode: (EMA(fast) โ EMA(slow)) / ATR * 100 โ momentum normalized by volatility.
- Range mode: RSI(length) โ 50 โ mean-reversion pressure around zero.
3. Volatility Filter (optional):
Blocks signals if ATR as % of price is below a floor you set. This reduces noise in thin or quiet markets.
4. MTF Trend Filter (optional & non-repainting):
Confirms signals only if a higher timeframe EMA(fast) > EMA(slow) for longs (or < for shorts). Implemented with lookahead_off and gaps_on.
5. Confirmation & Alerts:
Signals are locked only on bar close (barstate.isconfirmed) and offered via three alert types: ARO Long, ARO Short, ARO Regime Shift.
โธป
What you see on the chart
โข Background heat:
โข Green = Trending Up, Red = Trending Down, Gray = Range.
โข ARO line (panel): Adaptive oscillator (trend/value colors).
โข Signal markers: โฒ Long / โผ Short on confirmed bars.
โข Guide lines: Upper/Lower thresholds (ยฑK) and zero line.
โข Info Panel (table): Regime, ER, ATR %, ARO, HTF status (OK/BLOCK/OFF), and a Confidence light.
โข Debug Overlay (optional): Quick view of thresholds and raw conditions for tuning.
โธป
Inputs (quick reference)
โข Signals: Fast/Slow EMA, RSI length, ER length & threshold, oscillator smoothing, signal threshold.
โข Filters: ATR length, minimum ATR% (volatility floor), toggle for volatility filter.
โข Visuals: Background on/off, Info Panel on/off, Debug overlay on/off.
โข MTF (safe): Toggle + HTF timeframe (e.g., 240, D, W).
โธป
Interpreting signals
โข Long: Trend regime AND fast EMA > slow EMA AND ARO โฅ +threshold (confirmed bar, filters passing).
โข Short: Trend regime AND fast EMA < slow EMA AND ARO โค โthreshold (confirmed bar, filters passing).
โข Regime Shift: Alert when ER moves the market from Range โ Trend or flips trend direction.
โธป
Practical use cases & examples
1) Intraday momentum alignment (scalps to day trades)
โข Timeframes: 5โ15m with HTF filter = 4H.
โข Flow:
1. Wait for Trend Up background + HTF OK.
2. Enter on โฒ Long when ARO crosses above +threshold.
3. Stops: 1โ1.5ร ATR(14) below trigger bar or below last micro swing.
4. Exits: Partial at 1ร ATR, trail remainder with an ATR stop or when ARO reverts to zero/Regime Shift.
โข Why it works: Youโre trading with the dominant higher-timeframe structure while avoiding low-volatility fakeouts.
2) Swing trend following (cleaner trend legs)
โข Timeframes: 1Hโ4H with HTF filter = 1D.
โข Flow:
1. Only act in Trend background aligned with HTF.
2. Add on subsequent โฒ signals as ARO maintains positive (or negative) territory.
3. Reduce or exit on Regime Shift (Trend โ Range or direction flip) or when ARO crosses back through zero.
โข Stops/targets: Initial 1.5โ2ร ATR; move to breakeven once the trade gains 1ร ATR; trail with a multiple-ATR or structure lows/highs.
3) Range tactics (fade the extremes)
โข Timeframes: 15mโ1H or 1D on mean-reverting names.
โข Flow:
1. Act only when background = Range.
2. Fade moves when ARO swings from ยฑextremes back toward zero near well-defined S/R.
3. Exit at the opposite band or zero line; abort if a Regime Shift to Trend occurs.
โข Tip: Increase ER threshold (e.g., 0.35โ0.40) to label more bars as Range on choppy instruments.
4) Event days & macro filters
โข Approach: Raise the volatility floor (Min ATR%) on macro days (FOMC, CPI).
โข Effect: Youโll ignore โfakeโ micro swings in the minutes leading up to releases and catch only post-event confirmed momentum.
โธป
Parameter tuning guide
โข ER Threshold:
โข Lower (0.20โ0.30) = more Trend bars, more signals, higher noise.
โข Higher (0.35โ0.45) = stricter trend confirmation, fewer but cleaner signals.
โข Signal Threshold (ยฑK):
โข Raise to reduce whipsaws; lower for earlier but noisier triggers.
โข Volatility Floor (ATR%):
โข Thin/quiet assets benefit from a higher floor (e.g., 0.3โ0.6).
โข Highly liquid futures/forex can work with lower floors.
โข HTF Filter:
โข Keep it ON when you want higher win consistency; turn OFF for tactical counter-trend plays.
โธป
Alerts (recommended setup)
โข โARO Longโ / โARO Shortโ: Entry-style alerts on confirmed signals.
โข โARO Regime Shiftโ: Context alert to scale in/out or switch playbooks (trend vs. range).
All alerts are non-repainting and fire only when the bar closes.
โธป
Best practices & combinations
โข Price action & S/R: Use ARO to define when to engage, and price structure to define where (breakout levels, pullback zones).
โข VWAP/Session tools: In intraday trends, โฒ signals above VWAP tend to carry; avoid shorts below session VWAP in strong downtrends.
โข Risk first: Size by ATR; never let a single ARO event override your max risk per trade.
โข Portfolio filter: On indices/ETFs, enable HTF filter and a stricter ER threshold to ride regime legs.
โธป
Non-repaint and implementation notes
โข The script does not repaint:
โข Signals are computed and locked on bar close (barstate.isconfirmed).
โข All higher-timeframe data uses request.security(..., lookahead_off, gaps_on).
โข No future indexing or negative offsets are used.
โข The Info Panel and Debug overlay are purely visual aids and do not change signal logic.
โธป
Limitations & tips
โข Chop sensitivity: In hyper-choppy symbols, consider raising ER threshold and the signal threshold, and enable HTF filter.
โข Instrument personality: EMAs/RSI lengths and volatility floor often need a quick 2โ3 minute tune per asset class (FX vs. crypto vs. equities).
โข No guarantees: ARO improves context and timing, but it is not a promise of profitabilityโalways combine with risk management.
โธป
Quick start (TL;DR)
1. Timeframes: 5โ15m intraday (HTF = 4H); 1Hโ4H swing (HTF = 1D).
2. Use defaults, then tune ER threshold (0.25โ0.40) and Signal threshold (ยฑ20).
3. Enable Volatility Floor (e.g., 0.2โ0.5 ATR%) on quiet assets.
4. Trade โฒ / โผ only in matching Trend background; fade extremes only in Range background.
5. Set alerts for Long, Short, and Regime Shift; manage risk with ATR stops.
โธป
Authorโs note: ARO Pro is designed to be clear, adaptive, and operational out of the box. If you publish variants (e.g., different ER logic, alternative trend cores), please credit the original and document any changes so users can compare behavior reliably.
ไธปๅ่ต้่ฟๅบ็ๆงๅจโโMain Capital Flow Monitorโ-MEWINSIGHTMain Capital Flow Monitor Indicator
Indicator Description
This indicator utilizes a multi-cycle composite weighting algorithm to accurately capture the movement of main capital in and out of key price zones. The core logic is built upon three dimensions:
โโMulti-Cycle Pressure/Support Systemโโ
Using triple timeframes (500-day/250-day/90-day) to calculate:
Long-term resistance lines (VAR1-3): Monitoring historical high resistance zones
Long-term support lines (VAR4-6): Identifying historical low support zones
EMA21 smoothing is applied to eliminate short-term fluctuations
โโDynamic Capital Activity Engineโโ
Proprietary VARD volatility algorithm:
VARD = EMA
Automatically amplifies volatility sensitivity by 10x when price approaches the safety margin (VARAร1.35), precisely capturing abnormal main capital movements
โโCapital Inflow Trigger Mechanismโโ
Capital entry signals require simultaneous fulfillment of:
Price touching 30-day low zone (VARE)
Capital activity breaking recent peaks (VARF)
Weighted capital flow verified through triple EMA:
Capital Entry = EMA / 618
โโVisualization:โโ
Green histogram: Continuous main capital inflow
Red histogram: Abnormal daily capital movement intensity
Column height intuitively displays capital strength
โโApplication Scenarios:โโ
Consecutive green columns โ Main capital accumulation at bottom
Sudden expansion of red columns โ Abnormal main capital rush
Continuous fluctuations near zero axis โ Main capital washing phase
โโCore Value:โโ
Provides 1-3 trading days early warning of main capital movements, suitable for:
Medium/long-term investors identifying main capital accumulation zones
Short-term traders capturing abnormal main capital breakouts
Risk control avoiding main capital distribution phases
โโParameter Notesโโ: Default parameters are optimized through historical A-share market backtesting. Users can adjust cycle parameters according to different market characteristics (suggest extending cycles by 20% for European/American markets).
โโFormula Features:โโ
Multi-timeframe weighted synthesis technology
Dynamic sensitivity adjustment mechanism
Main capital activity intensity quantification
Early warning function for capital movements
โโSuitable Markets:โโ
Stocks, futures, cryptocurrencies and other financial markets with obvious main capital characteristics.
ๆๆ ๅ็งฐ๏ผไธปๅ่ต้่ฟๅบ็ๆงๅจ
โโๆๆ ๆ่ฟฐ๏ผโโ
ๆฌๆๆ ้่ฟๅคๅจๆๅคๅๅ ๆ็ฎๆณ๏ผ็ฒพๅๆๆไธปๅ่ต้ๅจๅ
ณ้ฎไปทๆ ผๅบๅ็่ฟๅบๅจๅใๆ ธๅฟ้ป่พๅบไบไธๅคง็ปดๅบฆๆๅปบ๏ผ
โโๅคๅจๆๅๅ/ๆฏๆไฝ็ณปโโ
้่ฟ500ๆฅ/250ๆฅ/90ๆฅไธ้ๆถ้ดๆกๆถ๏ผๅๅซ่ฎก็ฎ๏ผ
้ฟๆๅๅ็บฟ๏ผVAR1-3๏ผ๏ผ็ๆงๅๅฒ้ซไฝ้ปๅๅบ
้ฟๆๆฏๆ็บฟ๏ผVAR4-6๏ผ๏ผ่ฏๅซๅๅฒไฝไฝๆฟๆฅๅบ
้็จEMA21ๅนณๆปๅค็๏ผๆถ้ค็ญๆๆณขๅจๅนฒๆฐ
โโๅจๆ่ต้ๆดป่ทๅบฆๅผๆโโ
็ฌๅVARDๆณขๅจ็็ฎๆณ๏ผ
ๅฝไปทๆ ผๆฅ่ฟๅฎๅ
จ่พน้
๏ผVARAร1.35๏ผๆถ่ชๅจๆพๅคงๆณขๅจๆๆๅบฆ10ๅ๏ผ็ฒพๅๆๆไธปๅๅผๅจ
โโ่ต้่ฟๅบ่งฆๅๆบๅถโโ
่ต้ๅ
ฅๅบไฟกๅท้ๅๆถๆปก่ถณ๏ผ
ไปทๆ ผ่งฆๅ30ๆฅๆไฝๅบๅ๏ผVARE๏ผ
่ต้ๆดป่ทๅบฆ็ช็ ด่ฟๆๅณฐๅผ๏ผVARF๏ผ
้่ฟไธ้EMA้ช่ฏ็ๅ ๆ่ต้ๆต๏ผ
่ต้ๅ
ฅๅบ = EMA / 618
โโๅฏ่งๅๅ็ฐ๏ผโโ
็ปฟ่ฒๆฑ็ถๅพ๏ผไธปๅ่ต้ๆ็ปญๆตๅ
ฅ
็บข่ฒๆฑ็ถๅพ๏ผๅฝๆฅ่ต้ๅผๅจ้็บง
ๆฑไฝ้ซๅบฆ็ด่งๆพ็คบ่ต้ๅผบๅบฆ
โโไฝฟ็จๅบๆฏ๏ผโโ
็ปฟ่ฒๆฑไฝ่ฟ็ปญๅบ็ฐ โ ไธปๅๅบ้จๅธ็ญน
็บข่ฒๆฑไฝ็ช็ถๆพๅคง โ ไธปๅๅผๅจๆข็ญน
้ถ่ฝด้่ฟๆ็ปญๆณขๅจ โ ไธปๅๆด็้ถๆฎต
โโๆ ธๅฟไปทๅผ๏ผโโ
ๆๅ1-3ไธชไบคๆๆฅ้ข่ญฆไธปๅ่ต้ๅจๅ๏ผ้็จไบ๏ผ
ไธญ้ฟ็บฟๆ่ต่
่ฏๅซไธปๅๅปบไปๅบ้ด
็ญ็บฟไบคๆ่
ๆๆไธปๅๅผๅจ็ช็ ด
้ฃ้ฉๆงๅถ่ง้ฟไธปๅๅบ่ดง้ถๆฎต
โโๅๆฐ่ฏดๆโโ๏ผ้ป่ฎคๅๆฐ็ปA่กๅๅฒๆฐๆฎๅๆตไผๅ๏ผ็จๆทๅฏๆ นๆฎไธๅๅธๅบ็นๆง่ฐๆดๅจๆๅๆฐ๏ผๅปบ่ฎฎๆฌง็พๅธๅบๅปถ้ฟๅจๆ20%๏ผ
Weekend Hunter Ultimate v6.2 Weekend Hunter Ultimate v6.2 - Automated Crypto Weekend Trading System
OVERVIEW:
Specialized trading strategy designed for cryptocurrency weekend markets (Saturday-Sunday) when institutional traders are typically offline and market dynamics differ significantly from weekdays. Optimized for 15-minute timeframe execution with multi-timeframe confluence analysis.
KEY FEATURES:
- Weekend-Only Trading: Automatically activates during configurable weekend hours
- Dynamic Leverage: 5-20x leverage adjusted based on market safety and signal confidence
- Multi-Timeframe Analysis: Combines 4H trend, 1H momentum, and 15M execution
- 10 Pre-configured Crypto Pairs: BTC, ETH, LINK, XRP, DOGE, SOL, AVAX, PEPE, TON, POL
- Position & Risk Management: Max 4 concurrent positions, -30% account protection
- Smart Trailing Stops: Protects profits when approaching targets
RISK MANAGEMENT:
- Maximum daily loss: 5% (configurable)
- Maximum weekend loss: 15% (configurable)
- Per-position risk: Capped at 120-156 USDT
- Emergency stops for flash crashes (8% moves)
- Consecutive loss protection (4 losses = pause)
TECHNICAL INDICATORS:
- CVD (Cumulative Volume Delta) divergence detection
- ATR-based dynamic stop loss and take profit
- RSI, MACD, Bollinger Bands confluence
- Volume surge confirmation (1.5x average)
- Weekend liquidity adjustments
INTEGRATION:
- Designed for Bybit Futures (0.075% taker fee)
- WunderTrading webhook compatibility via JSON alerts
- Minimum position size: 120 USDT (Bybit requirement)
- Initial capital: $500 recommended
TARGET METRICS:
- Win rate target: 65%
- Average win: 5.5%
- Average loss: 1.8%
- Risk-reward ratio: ~3:1
IMPORTANT DISCLAIMERS:
- Past performance does not guarantee future results
- Leveraged trading carries substantial risk of loss
- Weekend crypto markets have 13% of normal liquidity
- Not suitable for traders who cannot afford to lose their entire investment
- Requires continuous monitoring and adjustment
USAGE:
1. Apply to 15-minute charts only
2. Configure weekend hours for your timezone
3. Set up webhook alerts for automation
4. Monitor performance table in top-right corner
5. Adjust parameters based on your risk tolerance
This is an experimental strategy for educational purposes. Always test with small amounts first and never invest more than you can afford to lose completely.
ORB Pro w/ Filters + Debug Overlay Update with Reason box fixThis indicator is designed to highlight high-probability reversal setups for intraday traders.
It focuses on the cleanest, most reliable candlestick reversal patterns and combines them with trend, VWAP/EMA confluence, and a time-based filter to reduce noise.
๐ ๏ธ How It Works
The script scans each bar for well-known reversal signals:
Doji Reversal โ small body, long wicks showing indecision.
Hammer / Shooting Star โ long wick โฅ 2ร body, showing exhaustion.
Engulfing Reversal โ full body engulf of the prior candle.
Additional filters include:
โ
VWAP/EMA Confluence (optional) โ confirms reversals near key intraday levels.
โ
Time Window (default 9:30โ10:30 NY) โ avoids false signals later in the session.
โ
Trend Exhaustion Check โ requires a short-term directional push before reversal.
โ
Signal Cooldown โ limits to one clean signal per move.
When conditions align, the script plots:
๐ข โBull Revโ label below the bar for bullish reversals.
๐ด โBear Revโ label above the bar for bearish reversals.
โ๏ธ Recommended Settings
For the tightest, most reliable signals:
Doji Body % โ 25โ30
Hammer Wick Multiple โ 2.0
Confluence Tolerance % โ 0.2โ0.3
Time Filter โ ON (9:30โ10:30 NY)
VWAP/EMA Filter โ ON
Cooldown Bars โ 10โ15
These settings minimize false positives and focus on the strongest reversals.
๐ Use Case
This tool is best for:
Intraday traders (stocks, ETFs, futures, crypto).
Traders who use Opening Range Breakout (ORB) or similar systems but want a secondary tool for catching reversals.
Anyone looking to filter out weak reversal patterns and focus on textbook setups.
โ ๏ธ Disclaimer
This script is for educational purposes only and should not be considered financial advice. Always test in simulation/paper trading before applying live
๐ Catch textbook reversals with confidence.
This indicator filters out noise and only plots high-probability reversal signals based on proven candlestick patterns + VWAP/EMA confluence.
๐ฅ Key Features:
โ
Detects Doji, Hammer/Shooting Star, and Engulfing Reversals
โ
VWAP & EMA confluence filter (optional)
โ
Time window filter (default 9:30โ10:30 NY for max edge)
โ
Signal cooldown to avoid clutter
โ
Clean chart labels + alert conditions
๐ฏ Whoโs It For?
Day traders who want precision reversal entries
ORB traders looking for secondary setups
Intraday scalpers who value quality over quantity
๐ Designed for traders who want fewer, cleaner, higher-probability signals.
โ ๏ธ Not financial advice. For educational use only
_____
๐ฏ ORB SET-UP DESCRIPTIONS:
๐ง Exact settings Iโd recommend (to avoid that mess):
requireClose = true
requireRetest = true with retestPct = 0.2%
minRangePct = 0.3%, maxRangePct = 1.5%
volumeFilter = true, volumeLength = 20
trendFilter = true, emaLength = 20
cooldownBars = 6 (on 5m chart โ 30 minutes)
๐ ORB Range Settings
Default sweet spot: 0.2% โ 0.3%
โ This usually balances enough signals with reduced false breakouts.
High volatility days (CPI, FOMC, big gaps): 0.3% โ 0.5%
โ Prevents fake outs.
Low volatility days (tight overnight range, slow open): 0.15% โ 0.2%
โ Keeps you from sitting on hands all day.
๐ Filters you already added help you avoid noise
EMA alignment
Volume confirmation
Optional stop/target logic
This means you donโt have to shrink the box to 0.1% โ the filters will keep you in higher-probability trades
โ
Why You Might NOT See a Signal
Check box for reason signal to turn it off, updated coloring so that candles are more visable.
ORB Box Too Wide
If the opening range is large, price has to move much further to trigger a clean breakout.
Wide box = fewer signals (but higher quality).
No Clean Break + Hold
Script waits for a candle to break above/below ORB and close strong enough.
A wick poke doesnโt count.
VWAP / EMA Filter Not Aligned
If price breaks but VWAP/EMA trend filter disagrees โ no signal.
Keeps you out of fake moves against the trend.
Confirmation Candle Missing (if enabled)
Even if price breaks, the script may want the next bar to confirm direction before signaling.
Cooldown / One-Signal-Per-Break Rule
Some filters prevent back-to-back spam signals.
Only the first clean setup is alerted.
Nirvana True Duel์ ๋ต ์ด๋ฆ
์ด๋ฐ์ ์ง๊ฒ์น๋ถ (์๋ฌธ: Nirvana True Duel)
์ปจ์
๊ณผ ์ฒ ํ
โ์ด๋ฐ์ ์ง๊ฒ์น๋ถโ๋ ์์ฅ ์์์ ๋ฌด์ํ๊ณ , ํ์คํ ๋๋ง ์ง์
ํ๋ ์ ๋ต์
๋๋ค.
EMA ๋ฆฌ๋ณธ์ผ๋ก ์ถ์ธ ๋ฐฉํฅ์ ํ์ธํ๊ณ , ๋ณผ๋ฆฐ์ ๋ฐด๋ ์์ถ/ํ์ฅ์ผ๋ก ๋ณ๋์ฑ ๋ํ๋ฅผ ํฌ์ฐฉํ๋ฉฐ, OBV๋ก ๊ฑฐ๋๋ ํ์ธ์ ํตํด ๊ฐ์ง ๋ํ๋ฅผ ํํฐ๋งํฉ๋๋ค.
์ ๋ต ๋ก์ง
๋งค์ ์กฐ๊ฑด (๋กฑ)
20EMA > 50EMA (์์น ์ถ์ธ)
๋ฐด๋ํญ ์์ถ ํ ํ์ฅ ์์
์ข
๊ฐ๊ฐ ์๋จ ๋ฐด๋ ๋ํ
OBV ์์น ํ๋ฆ ์ ์ง
๋งค๋ ์กฐ๊ฑด (์)
20EMA < 50EMA (ํ๋ฝ ์ถ์ธ)
๋ฐด๋ํญ ์์ถ ํ ํ์ฅ ์์
์ข
๊ฐ๊ฐ ํ๋จ ๋ฐด๋ ์ดํ
OBV ํ๋ฝ ํ๋ฆ ์ ์ง
์ง์
ยท์ฒญ์ฐ
์์ : ATR ร 1.5 ๋ฐฐ์
์ต์ : ์์ ํญ์ 1.5~2๋ฐฐ์์ ๋ถ๋ถ ์ฒญ์ฐ
์๊ฐ ์ฒญ์ฐ: ์ค์ ํ ์ต๋ ๋ณด์ ๋ด์ ์ด๊ณผ ์ ๊ฐ์ ์ฒญ์ฐ
์ฅ์
โ
์ถ์ธยท๋ณ๋์ฑยท๊ฑฐ๋๋ 3์ค ํํฐ โ ๋
ธ์ด์ฆ ์ต์ํ
โ
๋ฐฑํ
์คํธยท์๋ ์ง์ โ ๊ธฐ๊ณ์ ๋งค๋งค ๊ฐ๋ฅ
โ
5๋ถ/15๋ถ ์ฐจํธ์ ์ ํฉ โ ๋จํ/์ค์ ํธ๋ ์ด๋ฉ ํ์ฉ ๊ฐ๋ฅ
์ฃผ์์
โ ํก๋ณด์ฅ์์๋ ์ ํธ๊ฐ ์ ๊ฑฐ๋ ์คํจ ๊ฐ๋ฅ
โ ์์๋ฃยท์ฌ๋ฆฌํผ์ง ๊ณ ๋ ค ํ์
๐ Nirvana True Duel โ Strategy Description (English)
Name:
Nirvana True Duel (a.k.a. Nirvana Cross)
Concept & Philosophy
The โNirvana True Duelโ strategy focuses on trading only meaningful breakouts and avoiding unnecessary noise.
Nirvana: A calm, patient state โ waiting for the right opportunity without emotional trading.
True Duel: When the signal appears, enter decisively and let the market reveal the outcome.
In short: โIgnore market noise, trade only high-probability breakouts.โ
๐งฉ Strategy Components
Trend Filter (EMA Ribbon): Stay aligned with the main market trend.
Volatility Squeeze (Bollinger Band): Detect volatility contraction & expansion to catch explosive moves early.
Volume Confirmation (OBV): Filter out false breakouts by confirming with volume flow.
โ๏ธ Entry & Exit Conditions
Long Setup:
20 EMA > 50 EMA (uptrend)
BB width breaks out from recent squeeze
Close > Upper Bollinger Band
OBV shows positive flow
Short Setup:
20 EMA < 50 EMA (downtrend)
BB width breaks out from recent squeeze
Close < Lower Bollinger Band
OBV shows negative flow
Risk Management:
Stop Loss: ATR ร 1.5 below/above entry
Take Profit: 1.5โ2ร stop distance, partial take-profit allowed
Time Stop: Automatically closes after max bars held (e.g. 8h on 5m chart)
โ
Strengths
Triple Filtering: Trend + Volatility + Volume โ fewer false signals
Mechanical & Backtestable: Ideal for objective trading & performance validation
Adaptable: Works well on Bitcoin, Nasdaq futures, and other high-volatility markets (5m/15m)
โ ๏ธ Things to Note
Low signal frequency or higher failure rate in sideways/range markets
Commission & slippage should be factored in, especially on lower timeframes
ATR multiplier and R:R ratio should be optimized per asset
Aggregated OI by MalexThis indicator aggregates Open Interest data from multiple major exchanges (Binance, Bybit, OKX) to provide a comprehensive view of market positioning across platforms.
Original idea by Alex Nikulin.
FEATURES:
Multi-exchange OI aggregation with customizable exchange selection
Choose between Sum or Average aggregation methods
Individual exchange OI display (optional)
Clean mode - show only aggregated data
Real-time status monitoring for each exchange
Candlestick visualization matching standard OI indicators
Information panel showing current values and active exchanges
USAGE:
Enable/disable specific exchanges in settings
Choose aggregation method (Average recommended for balanced view)
Toggle individual exchange display or use clean mode
Monitor the info panel for data availability status
COMPATIBILITY:
Works with any symbol that has Open Interest data available on the selected exchanges.
Best used on perpetual futures contracts (e.g., BTCUSDT, ETHUSDT, etc.)
Phantom Trend IndicatorOverview
The Phantom Trend Indicator (PTI) is a streamlined tool for identifying trend direction and strength. It blends zigzag-based trend detection with a volume profile to display a histogram showing price distance from the Point of Control (POC). Six distinct colors highlight trend states, with background highlights for extreme price zones. Ideal for stocks, forex, crypto, and futures across any timeframe.
Features:
Trend Detection: Uses zigzag fractals to identify uptrends and downtrends.
Histogram Colors: Six colors for trend strength (low, high, extreme for up/down trends) or neutral (gray).
Dynamic Levels: Plots POC, Value Area Low (VAL), and High (VAH) via volume profile.
Background Colors: Highlights overbought (above VAH) or oversold (below VAL) zones.
Alerts: Signals new trends.
How It Works:
Trends: Zigzag fractals define trend ranges, with price position setting histogram colors (low, high, or extreme).
Histogram: Shows price deviation from POC.
Background: Colors extreme zones outside VAL/VAH.
This indicator builds on traditional trend detectors and volume profiles by integrating them into a single, cohesive tool. Unlike standard momentum indicators that rely on moving averages, PTI uses zigzag fractals for more responsive trend identification, reducing lag in volatile markets. Compared to basic volume profile scripts, it adds trend-based color coding and background alerts for extremes, providing clearer visual cues for overbought/oversold conditions. The six distinct colors indicate trend strength, and customizable thresholds allow fine-tuning for different assets and timeframes, enhancing adaptability. Traders benefit from combined momentum and liquidity insights, helping spot reversals or continuations more reliablyโmaking PTI a valuable, standalone addition for both novice and experienced users.
Settings
Trend Detector: Toggle alerts, adjust zigzag sensitivity, and set thresholds for low-to-high and extreme color transitions.
Dynamic Levels: Configure volume profile period, multiplier, accuracy, value area percent, and ATR-based channel width.
Visuals: Customize POC, VAL, VAH, and area fill colors.
Read Histogram: Uptrend colors show early, strong, or overextended moves; downtrend colors indicate early, weakening, or oversold conditions; gray for consolidation.
Background: Monitor for overbought/oversold color-coded signals.
Tune: Adjust zigzag or period settings for your timeframe/asset.
Tips
Shorten period for intraday, extend for swing trading.
Pair with other indicators for confirmation.
Notes:
Requires sufficient chart data for volume profile.
Test settings for low-volatility assets.
For informational use only, not financial advice. Test thoroughly, and happy trading!
WTI Futures Break-Out StrategyThis Channel indicator is designed for 5 min time frame.
Pre-market high and low is defined per trading day between 9:00 AM to 9:30 AM EST.
How it works:
At 9:00 and 9:30 mark lines on Low and Hi levels.
Wait until a candle is closed above or below Low and Hi levels.
- Break-out high = long trade
- Break-out low = short trade
For additional confirmation, use either MACD or Stochastic RSI indicators.
