Watchlist for Trending Stock ScannerCreate a watchlist that identifies trending stocks. Up to 20 stocks can be tracked and the top 5 strongest trending stocks will be shown.
Indicator
Tradingstrategies
HalfTrend Long/Short Signal Engine [BigBeluga]HalfTrend Long/Short Signal Engine is an institutional-grade trend tracking toolkit built for PulseWire. It filters out minor market noise to deliver definitive, non-repainting long and short entry signals based on asset volatility and structural swing pivots.
Instead of displaying standard lag-heavy moving averages, this system uses an adaptive directional engine to lock onto clean trend lines and overlay automatic risk-management matrices directly onto your chart. It calculates real-time win rates and scans multiple assets simultaneously so you can trade with systematic statistical backup.
🔵 MAIN ENGINE & MARKET CALCULATION MECHANICS
1. Pure HalfTrend Price Filter Matrix
Swing Pivot Trackers: The engine scans local high and low data using an adjustable lookback filter ( Amplitude ) to find actual structural swing points rather than temporary price spikes.
Volatility-Adjusted Bands: It establishes dynamic outer channel boundaries using a 100-period Average True Range calculation divided by two ( ATR/2 ). The total channel width automatically scales using your custom risk buffer parameter ( Channel Deviation ).
Regime Flip Architecture: The system locks into a Bullish Regime when price crosses above structural highs, shifting the main tracking baseline to Green. When price slips below structural lows, it forces a Bearish Regime and changes the tracking baseline to Red.
2. Automated Risk Matrix & Multi-Asset Scanner
Algorithmic Trade Execution: The moment a new trend regime initializes, the engine projects a strict trade tracking matrix showcasing an entry line, a clear stop-loss boundary, and three tiered profit targets (TP1, TP2, and TP3).
Live Performance Dashboard: An integrated on-screen table calculates real-time historical metrics, tracking active wins, losses, current target risk-to-reward ratios ($1:3$), and overall system win rate percentages.
Screener Security Matrix: The background engine leverages real-time multi-asset queries to stream concurrent trend statuses for five separate configurable symbols directly into a secondary visual dashboard.
// Automated Trade Risk & Multi-Asset Tracking Snippet
if buySignal
float dist = atr2 * baseRiskMult
activeSL := close - dist
activeTP1 := close + dist
activeTP2 := close + (dist * 2)
activeTP3 := close + (dist * 3)
tradeState := 1
entryPx := close
t1 = request.security(sym1, timeframe.period, trend)
🔵 WHY IT IS USEFUL
Elimination of Market Noise: Standard moving averages constantly whip back and forth during consolidations. The HalfTrend calculation filters out minor intraday fluctuations, only shifting when a definitive structural high or low is broken.
Mathematical Execution Blueprint: It takes the emotion out of trade management. Every signal comes equipped with dynamic, visually mapped stop losses and a $1:3$ risk-reward profit map that fills with real-time gradient paths.
Macro Market Synchronicity: The multi-asset side-panel allows you to keep an eye on major market drivers (like BTC, ETH, Gold, or major FX pairs) simultaneously, ensuring your trades line up with broader institutional market direction.
🔵 HOW TO USE THE SYSTEM
Trading Long Breakouts: When the system transitions from a bearish regime into a bullish regime, a Green LONG label will print beneath the breakout candle. Execute your position at the white entry line, setting your dynamic stop-loss boundary inside the red risk gradient.
Trading Short Breakdowns: Monitor the system for a shift into a bearish regime, indicated by a Red SHORT label appearing above the asset price. Execute short orders relative to the entry line and utilize the upper red gradient zone to map your protective risk ceiling.
Managing Exits and Targets: Take partial profits sequentially as the asset price moves through the Green target lines (TP1, TP2, and TP3). If a sudden trend reversal prints an opposing signal before your final targets are satisfied, the script automatically triggers a reversal exit rule to preserve accumulated gains.
Streamline your trade execution, manage portfolio risk systematically, and screen multiple sectors at once with the HalfTrend Long/Short Signal Engine workspace.
Indicator
RSI Dip + EMA Trend Long DCA - StrategyRSI Dip + EMA Trend Long DCA — Leveraged Strategy
🔷 What it does:
This is a long-only DCA strategy on leveraged crypto perpetuals that buys oversold dips inside confirmed uptrends. A long entry opens only when the lower-timeframe RSI crosses down into oversold territory AND a higher-timeframe EMA cross confirms the larger trend is up. Four safety orders form a pure-price deviation ladder. Exit is a tight Take Profit with trailing, OR a hard Stop Loss, OR a forced close after a maximum holding period.
- Single base order with up to four safety orders, soft 1.05× size compounding.
- Dual confirmation entry: RSI(12) crossing down 35 on 5m AND EMA(50) > EMA(100) on 15m.
- Three exit paths: 1.0% Take Profit with 0.1% trailing, 9% hard Stop Loss, or forced market close after 3 days max hold.
- Default leverage 25× — per-trade realized risk ~7.17% of equity (inside the 5–10% band).
- Every entry, safety order, and exit emits a webhook-ready JSON alert payload for direct DCA Bot consumption.
🔷 Who is it for:
- Active traders comfortable with leveraged crypto perpetuals who want a systematic dip-buying engine inside confirmed uptrends.
- Bot operators who want a chart-driven signal source with per-event JSON ready for a DCA Bot configured for leveraged futures.
- Traders looking to combine momentum exhaustion (RSI dip) with trend confirmation (EMA stack) for higher-confidence entries.
- Portfolio operators who can absorb a 15–20% maximum drawdown in exchange for ~30% trailing returns over comparable periods.
🔷 How does it work:
Entry RSI Filter (Oversold Dip): A 5-minute RSI(12) is sampled via request.security with lookahead disabled. The dip gate fires when RSI crosses down through 35 — momentum has rolled over into oversold, which on a confirmed uptrend often marks a tactical bounce point.
EMA Trend Filter: A 15-minute EMA(50) and EMA(100) are sampled in parallel. The trend gate is satisfied only while Fast EMA > Slow EMA — the broader trend is up. When the EMA cross flips, the dip signal alone cannot open a trade.
Entry: When both gates align at host-bar close, a long position opens. Base order is configurable as Market (default) or Limit. With default 25× leverage, base margin × leverage = notional position size.
Safety Order Ladder: After base fill, the strategy monitors price deviation downward against the position. No additional gating — pure price ladder. The k-th safety order fires when close ≤ base entry × (1 − cumulative deviation), where cumulative deviation grows by the step multiplier (default 1.2): 1.00%, 2.20%, 3.64%, 5.37%. Each safety order's USDT margin grows by 1.05× — soft compounding.
Exit Priority: Three exit paths evaluated in order on each bar: (1) Stop Loss at 9% below average entry, (2) Maximum Hold timeout at 3 days from base entry, (3) Take Profit at 1% above average entry with 0.1% trailing — once price reaches the TP target, the position closes only after a 0.1% retrace from the in-favor peak.
🔷 Why it's unique:
- Two-Layer Confirmation: RSI(12) dip on 5m for entry timing, EMA(50/100) on 15m for trend bias. The two filters operate on different scales — momentum exhaustion alone cannot open a trade against a confirmed downtrend, and trend alignment alone cannot open a trade outside a tactical entry window.
- Three-Exit Architecture: Hard Stop Loss for tail-risk protection, Maximum Hold timeout for stuck trades that don't reach either bound, and Take Profit with trailing for letting winners run. Most DCA strategies use one or two exits; this one explicitly handles all three failure modes.
- Leverage-Aware Sizing: Base margin and leverage are independent inputs. Margin sets the per-trade capital commitment; leverage sets the notional exposure. Per-trade risk at SL = base + SO margins × SL% — bounded and predictable.
- DCA Bot Integration: Every event (base, SO 1–4, TP/SL/MaxHold close) emits a fully-formed JSON alert payload. Connect one alert to a DCA Bot's webhook URL and the strategy drives the bot end-to-end.
🔷 Considerations Before Using the Strategy:
Market & Timeframe: Defaults are calibrated for BYBIT:XMRUSDT perpetual on 15m. The dip-buying-in-uptrend logic is portable to other liquid crypto perpetuals with clear directional regimes, but the EMA periods and RSI thresholds should be reviewed before redeployment.
Leverage Warning: The default 25× leverage is aggressive. A 9% adverse price move at 25× leverage equals 225% of base margin — the Stop Loss closes the position at full margin loss before liquidation. The per-trade realized risk at SL is approximately 7.17% of equity at default base margin (60 USDT). Lower the leverage input or reduce base margin to dial down per-trade exposure.
Drawdown Profile: The backtest produced a 18.01% maximum equity drawdown over a 14-month sample with 779 closed trades. This is above PulseWire's typical 5–10% per-trade band — but the figure reflects portfolio-level accumulation of losing trades across an adverse period, not single-trade risk. Per-trade risk remains inside the 5–10% band; the portfolio-level DD reflects the leveraged compounding and should be sized accordingly within a diversified strategy mix.
No SO Condition: Safety orders fire on pure price ladder with no momentum gate. This means averaging continues unconditionally as price drops, until either SL fires or the price reverses. The trade-off: higher average-entry quality if the dip continues, but greater unrealized loss exposure during sharp drops.
Maximum Hold Period: The 3-day forced close exists to release capital from stuck trades that haven't reached TP or SL. On a 15m chart, this is approximately 288 bars. Adjust the timeout to match your strategy rotation cadence.
Funding Rates (Perpetuals): Backtests do not account for perpetual funding rates. Sustained negative funding (shorts pay longs) improves live performance for this long strategy; sustained positive funding degrades it. Review the historical funding pattern before live deployment.
Demo Testing: Always demo-test before going live. Past results do not guarantee future performance, especially on leveraged strategies where small parameter changes materially affect risk.
🔷 STRATEGY PROPERTIES
Symbol: BYBIT:XMRUSDT.P (Perpetual)
Timeframe: 15M
Test Period: April 1, 2025 — May 26, 2026 (~14 months).
Initial Capital: 10,000 USDT.
Order Size per Trade: 60 USDT margin × 25× leverage = 1,500 USDT notional base + 4 safety orders at 1.05× progression.
Max Capital Deployed (Margin): ~318.6 USDT per trade across base + 4 SOs.
Max Realized Loss per Trade: ~717 USDT at full ladder + SL (~7.17% of equity).
Commission: 0.05% per trade.
Slippage: 3 ticks.
Leverage: 25× (configurable).
Margin for Long Positions: 100%.
Indicator Settings: Default Configuration.
Base Order: 60 USDT margin, Market by default (Limit toggle available).
Take Profit: 1.0% above average entry with 0.1% trailing.
Stop Loss: 9% below average entry (hard close).
Max Hold: 3 days (259,200 seconds) — forced market close.
Entry Filter: 5m RSI(12) Crossing Down 35 AND 15m EMA(50) > EMA(100).
Safety Orders: 4, Deviation 1.0%, Deviation Step 1.2×, Size Multiplier 1.05×.
Strategy: Long Only.
🔷 STRATEGY RESULTS
⚠️ Remember, past results do not guarantee future performance.
Net Profit: +3,078.80 USDT (+30.79%)
Max Equity Drawdown: 2,013.77 USDT (18.01%)
Total Closed Trades: 779
Percent Profitable: 74.07% (577 / 779)
Profit Factor: 1.313
🔷 How to Use It:
🔸 Adjust Settings: Open the strategy inputs and review the Base Margin, Leverage, entry filter (RSI level on 5m, EMA periods on 15m), the 4-SO ladder, and the three exit conditions. Defaults are calibrated for XMRUSDT.P 15m at 25× leverage — recalibrate per asset and per risk profile before deploying.
🔸 Results Review: Run a full-period backtest and confirm Max Drawdown stays inside your personal risk band. The 18% DD at default settings reflects 25× leverage — lower the leverage input to scale risk down proportionally. Validate the closed-trade count (≥ 100 minimum is a comfortable statistical floor).
🔸 Create alerts to trigger the DCA Bot: Add one alert on the strategy using "Any alert() function call". Paste the DCA Bot's webhook URL into the alert's Webhook field, and fill the Bot ID, Email Token, and Pair inputs on the script. The strategy will emit JSON payloads for entry, each safety order, and all three exit types — formatted for direct DCA Bot consumption.
🔷 INDICATOR SETTINGS
Base Order Margin (USDT): Margin per base trade. Notional = Margin × Leverage.
Leverage (×): Exchange leverage. Default 25× — adjust to match your account configuration.
Use LIMIT for Base: Toggle between Market (default) and Limit at bar close.
Max Safety Orders: Maximum number of safety orders per deal (default 4).
First SO Margin (USDT): USDT margin of the first safety order; subsequent SOs scale by the Size Multiplier.
Step to First SO (%): Distance from base entry at which SO1 becomes eligible.
Step Multiplier: Ladder factor that widens each subsequent deviation step.
Size Multiplier: Factor that grows each subsequent safety order's USDT margin.
Entry RSI Timeframe / Length / Level: Lower-timeframe RSI oversold-dip filter.
EMA Timeframe / Fast / Slow: Higher-timeframe trend confirmation filter.
Take Profit (%) / Trailing Deviation (%): TP target above avg entry and trailing buffer.
Stop Loss (%): Hard stop below avg entry.
Force Close After Max Hold / Max Hold (seconds): Timeout for forced market close.
DCA Bot Webhook: Bot ID, Email Token, and Pair fields injected into every alert payload.
Visualization: Toggle SO Ladder, Avg / TP / SL plot lines, fill labels, status table.
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas PulseWire account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc.
Strategy
Dual RSI DCA - Long StrategyDual RSI DCA — Long Strategy
🔷 What it does:
This is a long-only DCA framework that combines two independent RSI conditions on a low timeframe — one gates the base entry (oversold reversal), one arms the take-profit (overbought rotation) — with a bounded five-level averaging-order ladder for adverse price action. The structure is built for assets that move in fast oversold-overbought oscillations on intraday timeframes (mid-cap altcoins, meme-class tokens, DEX-flow pairs), where the goal is to catch a momentum flip up, accumulate on continued weakness within a strict envelope, and rotate out on the next momentum flip down once minimum profit is realized.
- Base entry: RSI(14) on 3m crossing UP through 31 (oversold reversal)
- Exit: RSI(14) on 3m crossing DOWN through 69 AND profit ≥ 2.4% from average
- 5 averaging orders with geometric size (×1.25) and deviation (×1.3) progression
- NO stop loss — risk is structurally capped by the bounded position-size ladder (base + all AOs ≈ 9.93% of equity at default settings)
- Single-position pyramid (max one open cycle at a time)
🔷 Who is it for:
Active intraday traders who follow fast-oscillating instruments and want a rule-based way to time entries off oversold-reversal moments rather than chasing breakouts.
DCA-bot operators who route PulseWire signals to a connected automated execution layer via webhook alerts.
Traders who prefer structurally bounded risk over stop-loss-based protection — the position-size ladder caps maximum capital deployment by design.
Anyone who wants the exit decision driven by momentum (RSI crossing down 69) rather than a fixed % target, while still requiring a minimum profit floor.
🔷 How does it work:
Long Entry: When the 3m RSI(14) crosses UP through 31 on a confirmed bar, the strategy opens a base long position sized at 0.9% of equity (90 USDT on a 10k account). The cross-up captures the moment momentum exits the oversold zone — a structural reversal signal that is more reliable than buying inside the oversold zone itself (where weakness can persist indefinitely).
Averaging Orders: When price drops below the cumulative deviation thresholds from base entry, additional orders fill in sequence. The five-step ladder uses a geometric deviation progression (1.3% × 1.3 multiplier per step) and geometric sizing (110 USDT × 1.25 multiplier per step). Cumulative deviation levels are approximately: AO1 −1.30%, AO2 −2.99%, AO3 −5.19%, AO4 −8.04%, AO5 −11.76%. Each fill weighs the position toward the lower end, dragging the average entry down so the exit signal can fire at a higher absolute price.
Exit Management: The exit fires when two conditions are simultaneously satisfied: (1) the 3m RSI(14) crosses DOWN through 69 (momentum rotating out of overbought), AND (2) current price is at least 2.4% above the position's average entry. Without the profit gate, the exit would close losing positions on every overbought rotation, defeating the DCA logic. With the gate, the exit only fires when momentum-rotation aligns with realized profit.
No stop loss — the ladder structure provides risk containment by capping maximum capital deployment per cycle. If price continues falling past AO5 (−11.76%), no further orders fill; the open position holds until price recovers and the exit conditions trigger.
🔷 Why it's unique:
Dual independent RSI gating — most DCA scripts use a single trigger for both entry and exit, which creates ambiguity in trending regimes. Here, entry and exit are gated by separate threshold crosses on the same RSI series — one armed at the bottom of the range (cross up 31), the other at the top (cross down 69). This decouples the two decisions and gives the strategy a cleaner behavioral profile in regime transitions.
Bounded risk envelope — total capital at risk across base + all AOs is fixed by design at ~9.93% of equity at default sizing, falling within PulseWire's recommended 5–10% per-trade band. No stop loss is needed because the ladder itself caps deployment.
Bot integration — all order events ship webhook-ready JSON payloads (entry, AO add-funds, close-at-market). Bot ID, Email Token, and pair label are exposed as inputs for direct routing to an automated execution endpoint.
🔷 Considerations Before Using the Indicator:
Market & Timeframe: This strategy is calibrated for assets with active intraday oscillations on a 3-minute base timeframe — typically mid-cap altcoins or DEX-traded tokens with high relative volatility. The default pair (USDT_HYPE) reflects that calibration. Higher-timeframe operation requires re-evaluating the RSI levels and deviation ladder for the asset's actual volatility profile. Quiet majors (BTC, ETH) on 3m will produce far fewer signals and may not generate meaningful sample sizes within a reasonable test period.
Limitations: No stop loss. If the asset enters a sustained downtrend that breaks below the −11.76% AO5 level without recovering, the position holds unrealized losses until either price recovers or the user manually closes. This is the explicit trade-off of the bounded-ladder approach — predictable maximum capital exposure, but no automated exit on regime breakdown. Pair this strategy with manual regime validation: do not deploy during macro de-risk events, exchange outages, or token-specific catastrophic news.
Backtesting & Demo Testing: Always validate the entry/exit RSI thresholds and AO ladder on the specific instrument and recent volatility regime. Token volatility profiles change rapidly — what worked last quarter may not work this quarter. Re-test on your own venue using venue-specific commission and slippage. Demo-trade for at least one month before any live deployment. Past performance is not indicative of future results.
Parameter Adjustments: Commission defaults to 0.08% (taker reference for active venues). Adjust for your venue — Binance Spot ~0.10%, Bybit Spot ~0.10%, Coinbase Advanced ~0.50%, OKX Spot ~0.08%. The 5-AO ladder and the size/deviation multipliers should be sized so that the worst-case ladder fill does not exceed your personal risk budget. Recalculate the cumulative deviation envelope manually before live deployment.
🔷 STRATEGY PROPERTIES
Symbol: BYBIT:HYPEUSDT.P (HYPE Perpetual Contract). Strategy is generic and works on any liquid pair with sufficient 3m oscillation amplitude.
Timeframe: 3m chart (signals are computed on 3m via security() with no repaint — lookahead off, cross detected at host-bar granularity).
Test Period: Feb 23, 2026 — May 20, 2026 (≈ 86 days / 3 months).
Initial Capital: 10,000 USDT default. Base + 5 AOs sized so total ladder ≈ 9.93% of equity.
Order Size per Trade: base 90 USDT; AO1 110 USDT; AO2 137.5 USDT; AO3 171.88 USDT; AO4 214.84 USDT; AO5 268.55 USDT.
Commission: 0.08% — adjust to match your venue's taker rate.
Slippage: 3 ticks — typical taker execution on liquid altcoin pairs.
Margin for Long and Short Positions: 100% (1× leverage assumed; no margin amplification).
Indicator Settings: Default Configuration.
Entry RSI: 14 length, cross up 31 on 3m
Exit RSI: 14 length, cross down 69 on 3m
Min profit gate: 2.4% from average
AO count: 5
First AO deviation: 1.3%
Deviation step multiplier: 1.3
Order size multiplier: 1.25
Strategy: Long Only.
🔷 STRATEGY RESULTS
⚠️ Remember, past results do not guarantee future performance.
Net Profit: +450.18 USDT (+4.50%)
Max Drawdown: 74.88 USDT (0.73%)
Total Closed Trades: 121
Percent Profitable: 82.64% (100 / 121)
Profit Factor: 11.703
Reference PulseWire Pine backtest on BYBIT:HYPEUSDT.P (3m chart), Feb 23 — May 20, 2026 (≈ 86 days). The reference period captures HYPE's choppy intraday oscillation phase after the early-2026 drawdown, which is structurally favorable for a dual-RSI cycle strategy — RSI repeatedly cycled between the 31 and 69 thresholds, producing dense fill opportunities. The unusually high Profit Factor (11.7) and Win Rate (82.6%) reflect this regime fit and should NOT be extrapolated to all conditions: in trending regimes (sustained up- or down-moves) the RSI rotation signals fire less frequently and the bounded ladder may hold positions through extended unrealized drawdowns. The test ran on perpetual data with 0.08% commission and 3-tick slippage, which is conservative relative to actual Bybit linear taker rates (~0.055%). Re-test on your own venue with venue-specific commission and slippage before live deployment.
🔷 How to Use It:
🔸 Adjust Settings: Set the base and AO sizes so that the worst-case full-ladder fill is within your personal per-trade risk budget. The default 0.9% base + 5 geometric AOs lands at ~9.93% of equity — scale linearly to your account size. Confirm RSI thresholds match the asset's actual range: some pairs oscillate between 25/75, others between 35/65 — re-calibrate based on the last 1–3 months of intraday RSI behavior.
🔸 Results Review: Verify Maximum Drawdown stays within your personal risk budget. The strategy has no stop loss, so the worst-case unrealized loss occurs when all 5 AOs fill at −11.76% and price continues to fall. Calculate this scenario explicitly: if the ladder fills entirely and the asset drops a further X% beyond AO5, what is your unrealized P&L? That number is your hard floor — confirm you are comfortable with it before going live.
🔸 Create alerts to trigger the connected bot: The strategy exposes three alert events — entry (base order open), AO add-funds (averaging-order fill), close-at-market (full exit on RSI rotation + min-profit gate). Configure the alert in PulseWire with the webhook URL pointing to your bot's signal endpoint. Bot ID, Email Token, and Pair label are exposed in the script inputs and substituted into the JSON payload automatically.
🔷 INDICATOR SETTINGS
Base Order Size (USDT) — Notional of the base entry order.
Use LIMIT for Base — Toggle market vs limit entry on the base order.
Averaging Orders per Trade — Total number of AOs in the ladder (default 5).
First AO Size (USDT) — Notional of the first AO; subsequent AOs scale by Order Size Multiplier.
Deviation to First AO (%) — Drop from base entry to fire AO1.
Deviation Step Multiplier — Multiplier applied to each subsequent step (geometric progression of deviations).
Order Size Multiplier — Multiplier applied to each subsequent AO notional (geometric progression of sizes).
Entry RSI — Timeframe, length, and cross-up level for the base entry gate.
Exit RSI — Timeframe, length, and cross-down level for the exit gate.
Minimum Profit (%) — Profit floor; the exit signal only fires once price is ≥ this above average entry.
Limit Backtest Period — Optional date filter for the strategy run.
DCA Bot Webhook — Bot ID, Email Token, and Pair label for routing to the connected execution layer.
Visualization — Toggles for the DCA ladder lines, fill labels, and status table.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas PulseWire account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc.
Strategy
PREDATOR Indicator của Kelvin xịn vãi nồi
xác định fvg erl sweep
báo tín hiệu khi giá chạm các vùng này
Indicator
Future EMA ProjectionAs traders, we constantly find ourselves looking at a chart after a sharp drop or rally, asking questions like:
"If the price just chops sideways at this support level for the next two weeks, when exactly will the EMAs finally flatten out and catch up?"
"If we bounce to the next resistance level, will that be enough to force a bullish crossover on the EMA 20 and 50?"
Standard indicators can't answer this because they only plot historical data. The Future EMA Projection indicator solves this by allowing you to visualize "What-If" scenarios right on your chart. It calculates the complex EMA smoothing math for future, unprinted bars, and plots the exact trajectory of your moving averages based on your price assumptions.
🔑 Key Features
Standard EMA Base: Plots three customizable historical EMAs (defaulting to 10, 20, and 50) as solid lines so you don't need a separate indicator.
Dynamic Future Trajectories: Draws dotted lines extending into the future (the blank space on the right side of your chart) to show exactly where the EMAs are heading.
Two "What-If" Modes:
Last Close (Consolidation Mode): Automatically assumes the price will flatline at the very last traded price. Perfect for seeing how long it takes for EMAs to digest a recent volatile move and flatten out during a ranging market.
Custom Price (Target Mode): Allows you to manually input a hypothetical future price. Perfect for testing breakout or breakdown scenarios to see how a specific price target would warp the moving averages.
Precision Price Labels: Automatically generates small price tags at the very end of the projected lines, giving you the exact numerical value the EMA will hit at the end of the projection period.
💡 How to Use It in Your Trading
Scenario 1: Surviving the Chop (Sideways Markets)
After a steep decline to a support zone, set the Mode to "Last Close". Look at the dotted projection lines to see exactly how many bars (days/hours) it will take for the shorter-term EMAs to flatten out and cross back over the longer-term EMAs if the price just stays flat. This helps you avoid jumping into trades too early while the broader trend is still bleeding out momentum.
Scenario 2: Testing Breakout Targets
If you are eyeing a potential long entry, switch the Mode to "Custom Price" and enter your first take-profit target or the next major resistance level. The projection lines will instantly warp. You can visually verify if hitting that target will actually reverse the broader trend (e.g., causing an EMA 10/20 golden cross), or if it's just a dead-cat bounce within a larger bearish EMA structure.
⚙️ Settings
- EMA 1, 2, 3 Length: Customize your moving average periods (Defaults: 10, 20, 50).
- Bars to Project: How far into the future you want to draw the lines (Default: 60 bars).
- Price Assumption: Toggle between "Last Close" or "Custom Price".
- Custom Price (If Selected): The hypothetical target price for your What-If scenario.
Indicator
Open Range Breakout Strategy With Multi TakeProfitHello everyone,
For a while, I’ve been wanting to develop new scripts, but I couldn’t decide what to create. Eventually, I came up with the idea of coding traditional and well-known trading strategies—while adding modern features such as multi–take profit options. For the first strategy in this series, I chose the Open Range Strategy .
For those unfamiliar with it, the Open Range Strategy is a trading approach where you define a specific time period at the beginning of a trading session—such as the first 15 minutes, 30 minutes, or 1 hour—and mark the highest and lowest prices within that range. These levels then act as reference points for potential breakouts: if the price breaks above the range, it may signal a long entry; if it breaks below, it may indicate a short entry. This method is popular among day traders for capturing early momentum in the market.
Since this strategy is generally used as an intraday strategy , I added a Trade Session feature. This allows you to define the exact time window during which trades can be opened. Once the session ends, all positions are automatically closed, ensuring trades remain within your chosen intraday period.
Even though it’s a relatively simple concept, I’ve come across many different variations of it. That’s why I created a highly customizable project. Under the Session Settings, you can select the time window you want to define as your range. Whether it’s the first 15-minute candle or the entire first hour, the choice is entirely yours.
For stop-loss placement, there are two different options:
Middle of the Range – The stop loss is placed at the midpoint between the high and low of the defined range, offering a balanced buffer for both bullish and bearish setups.
Top/Bottom of the Range – The stop loss is placed just beyond the range’s high for short trades or just below the range’s low for long trades, providing a more conservative risk approach.
I’ve always been a big fan of the multi take-profit feature, so I added two different take-profit targets to this project. Take profits are calculated based on a Risk-to-Reward Ratio, which you can adjust in the settings. You can also set different position sizes for each target, allowing you to scale out of trades in a way that suits your strategy.
The result is a flexible, user-friendly strategy script that brings together a classic approach with modern risk management tools—ready to be tailored to your trading style
Strategy
Institutional Sessions Overlay (Asia/London/NY)Institutional Sessions Overlay is a professional PulseWire indicator that visually highlights the main trading sessions (Asia, London, and New York) directly on your chart.
Customizable: Easily adjust session start and end times (including minutes) for each market.
Timezone Alignment: Shift session boxes using the timezone offset parameter so sessions match your chart’s timezone exactly.
Clear Visuals: Colored boxes and optional labels display session opens and closes for fast institutional market structure reference.
Toggle Labels: Show or hide session open/close labels with a single click for a clean or detailed look.
Intuitive UI: User-friendly grouped settings for efficient configuration.
This tool is designed for day traders, institutional traders, and anyone who wants to instantly recognize global session timing and ranges for SMC, ICT, and other session-based strategies.
How to use:
Set your chart to your local timezone.
Use the "Session timezone offset" setting if session boxes do not match actual session opens on your chart.
Adjust the hours and minutes for each session as needed.
Enable or disable labels in the “Display” settings group.
Tip: Use the overlay to spot session highs and lows, volatility windows, and institutional liquidity sweeps.
Indicator
Supertrade's RVI Long-Only Strategy with SL/TP (RR 1:3)This strategy, titled "Supertrade’s RVI Long-Only Strategy with SL/TP (RR 1:3)", is designed to capitalize on potential bullish reversals using the Relative Vigor Index (RVI) as its core signal generator. It is best optimized for trading XAUUSD on the 15-minute timeframe , where it has demonstrated favorable historical performance.
The RVI is calculated using a 10-period standard deviation of the closing price, with smoothing applied through a 14-period exponential moving average. This approach helps to distinguish between uptrend and downtrend volatility, allowing the strategy to identify momentum shifts with precision. A long position is triggered when the RVI crosses above the 20 level, suggesting a potential transition from a weak to a stronger bullish phase.
Risk management is embedded through a user-defined stop-loss (default set at 1% below the entry price) and a fixed reward-to-risk ratio of 1:3. This means that for every 1% of capital risked, the strategy targets a 3% gain, maintaining favorable risk-reward dynamics throughout its execution. Once a position is entered, it will exit automatically at either the stop-loss or take-profit level, depending on which is reached first.
This strategy is meant for educational and research purposes only. While it has performed well historically on specific assets and timeframes, past performance is not indicative of future results . Market conditions can change, and no strategy guarantees success in all environments. Please exercise proper risk management and test thoroughly before applying in live markets.
Strategy
[Stop!Loss] ADR Signal ADR Signal - a technical indicator located in a separate window, which displays by default the 80%-level , as well as the 100%-level of the average daily range (ADR) for the last 10 days and compares it with the current intraday range. The indicator helps not only with the use of a mathematical-statistical method to identify a potential reversal at the moment during intraday trading, but can also serves as an effective assistant in risk management.
👉 Basic mechanics of the indicator
Firstly, this indicator tracks the performance of the standard ATR indicator on the daily chart, in other words, ADR (Average Daily Range).
Important ❗️The ATR (Average True Range) indicator was created by J. Welles Wilder Jr. He first introduced ATR in his book "New Concepts in Technical Trading Systems", published in 1978. Wilder developed this indicator to measure market volatility to help traders estimate the range of price movements. This indicator is built into PulseWire, more details can be found by link: www.pulsewire.com
Like ATR , ADR calculates the average true range for a specified period. In this case, the distance in points from the maximum of each day to its minimum is calculated, after which the arithmetic mean is calculated - this is ADR .
👉 Visualization
ADR Signal is located in a separate window on the chart and has 3 levels:
1) "ADR level" (green line) - the same parameter, the calculations of which are briefly described above. There is 100%-level of ATR on the daily chart (ADR).
2) "Current level" (red line) - this is the current price passage within the day, calculated in points. At the start of a new day, this parameter is reset. Therefore, in the indicator window, this line has sharp drops at the start of a new trading day: "A new trading day - the instrument's power reserve is renewed again".
3) "Signal level" (blue line) - this is an individually customized value that demonstrates a certain part of the ADR parameter.
👉 Inputs
1) - is responsible for the ATR indicator period, the value of which will always be calculated on the daily chart. The default value is "10", that is, ATR is calculated for the last 10 days (not including the current one).
2) - signal level (in %). The default value is "0.8", that is, 80%-level of the ADR parameter (set earlier) is calculated.
👉 Style
1) - by default, this level is colored "blue".
2) - by default, this level is colored "red".
3) - by default, this level is colored "green".
👉 How to use this indicator
Important❗️ The two methods of the use of the ADR Signal indicator described below will be most effective when trading intraday (which is highlighted quite well below), so it is more logical to use the indicator information on time periods H1 and below.
1) Identifying potential reversals during intraday trading:
The ADR Signal indicator can be used as a potential individual reversal strategy.
Important ❗️It should be noted that using it in it without additional confirming analysis tools will be a rather aggressive trading approach. Therefore, it is best to support the entry point in particular with other methods.
In this case, the crossing of the red line (the number of points passed within the current day, that is, from the minimum of the current day to its maximum) and the blue line (color of the Signal level based on the default settings), indicates that the trading instrument has passed 80% (based on the default settings for the "Signal level") of its average distance from the maximum to the minimum over the past 10 days (based on the default settings for the "ADR Length"). Such a situation in the context of the mathematical-statistical approach indicates a probable reversal, since the "power reserve" of this instrument is mostly exhausted, so one can expect with a higher probability, at least, a price stop and possibly a reversal. In case of crossing of the red line and the green one (ADR level), it says again that based on the mathematical-statistical approach, this trading instrument has completely exhausted its intraday "power reserve". In this situation, a stop or reversal of the price will be even more likely.
Of course, using the "Signal level" parameter, one can filter out even more reliable situations for potential price reversals within a day, namely, by specifying, for example, 1.5 in the field of this parameter. Under such conditions, in the case of crossing the red and blue lines (based on the default style settings), to say that the trading instrument has passed 150% of its average distance over the last 10 days (based on the default style settings "ADR length"). In this case, the probability of a stop or reversal of the price increases even more.
2) Use in risk management:
In terms of risk management, this indicator is more applicable to open trades. For example, if one had an open Buy-position (especially if it is an intraday trade) and the price has raised significantly during the day, then the crossing of the red line with the blue line , and especially the red line with the green line , may indicate that the price will most likely stop growing, since the "power reserve" is almost or completely exhausted for this instrument within the current day. In this case, one can, at a minimum, move the trade to breakeven or even partially fix the profit.
We will continue to discuss the methods of using this indicator and strategies based on it here. And we are always waiting for your reactions and feedback on this topic 💬.
Thank you for your support 🚀
Indicator
Enhanced Momentum Divergence Radar+ [Alpha Extract]Enhanced Momentum Divergence Radar+
The AE's Enhanced Momentum Divergence Radar+ is designed to detect momentum shifts and divergence patterns, helping traders identify potential trend reversals and continuation points. By normalizing momentum readings and applying divergence detection, it enhances market timing for entries and exits.
🔶 CALCULATION
The indicator calculates normalized momentum using a combination of Detrended Price Oscillator (DPO) and volatility-adjusted smoothing techniques. It highlights overbought and oversold conditions while identifying bullish and bearish divergences.
Core Calculation:
ATR-based volatility adjustment ensures dynamic sensitivity.
DPO is derived from the price minus a simple moving average (SMA) to isolate cyclical movements.
Momentum score is normalized using historical max values for consistent scaling.
Thresholds are dynamically adjusted based on average absolute momentum.
dpo = close - ma
sd = (dpo / volatility) * 100
normalizedSD = sd / maxAbsSD
The momentum score is plotted as a histogram, where:
Green bars indicate strong upward momentum.
Red bars indicate strong downward momentum.
Neutral values fade into gray.
🔶 DETAILS
📊 Visual Features:
Histogram bars dynamically color-coded based on momentum strength.
Threshold bands provide reference points for overbought and oversold levels.
Divergence markers (Bullish/Bearish & Hidden Bullish/Bearish) highlight key reversal signals.
🛠 How Divergences Work:
Bullish Divergence (𝓞𝓢): Price makes a lower low while momentum makes a higher low.
Bearish Divergence (𝓞𝓑): Price makes a higher high while momentum makes a lower high.
Hidden Divergences confirm trend continuations rather than reversals.
📌 Example of Divergence Logic:
bullishDiv = (low == priceLow) and (sd > momentumLow)
bearishDiv = (high == priceHigh) and (sd < momentumHigh)
🔶 EXAMPLES
📍 The chart below illustrates price reacting to momentum divergences, identifying potential tops and bottoms before major price moves.
📌 Example snapshots:
A bullish divergence leading to a reversal in price.
A bearish divergence marking the beginning of a downtrend.
🔶 SETTINGS
🔹 Customization Options:
Lookback Period: Adjusts sensitivity to market cycles.
Smoothing Period: Controls signal clarity.
Color Options: Enables bar coloring based on momentum strength.
Divergence Sensitivity: Choose to display hidden divergences.
Indicator
AE - ATR Exhaustion ChannelAE - ATR Exhaustion Channel
📈 Overview
Identify Exhaustion Zones & Trend Breakouts with ATR Precision!
The AE - ATR Exhaustion Channel is a powerful volatility-based trading tool that combines an averaged SMA with ATR bands to dynamically highlight potential trend exhaustion zones. It provides real-time breakout detection by marking when price moves beyond key volatility bands, helping traders spot overextensions and reversals with ease.
🔑 Key Features
✔️ ATR-SMA Hybrid Channel: Uses an averaged SMA as the core trend filter while incorporating adaptive ATR-based bands for precise volatility tracking.
✔️ Dynamic Exhaustion Markers: Marks red crosses when price exceeds the upper band and green crosses when price drops below the lower band.
✔️ Customizable ATR Sensitivity: Adjust the ATR multiplier and length settings to fine-tune band sensitivity based on market conditions.
✔️ Clear Channel Visualization: A gray SMA midpoint and a blue-filled ATR band zone make it easy to track market structure.
📚 How It Works
1️⃣ Averaged SMA Calculation: The script calculates an averaged SMA over a user-defined range (min/max period). This smooths out short-term fluctuations while preserving trend direction.
2️⃣ ATR Band Construction: The ATR value (adjusted by a multiplier) is added to/subtracted from the SMA to form dynamic upper and lower volatility bands.
3️⃣ Exhaustion Detection:
If high > upper ATR band, a red cross is plotted (potential overextension).
If low < lower ATR band, a green cross is plotted (potential reversal zone).
4️⃣ Filled ATR Channel: The area between the upper and lower bands is shaded blue, providing a visual trading range.
🎨 Customization & Settings
⚙️ ATR Length – Adjusts the ATR calculation period (default: 14).
⚙️ ATR Multiplier – Scales the ATR bands for tighter or wider volatility tracking (default: 0.8, adjustable in 0.1 steps).
⚙️ SMA Range (Min/Max Length) – Defines the period range for calculating the averaged SMA (default: 5-20).
⚙️ Rolling Lookback Length – Controls how far back the high/low comparison is calculated (default: 50 bars).
🚀 Practical Usage
📌 Spotting Exhaustion Zones – Look for red/green markers appearing outside the ATR bands, signaling potential trend exhaustion and possible reversal opportunities.
📌 Breakout Confirmation – Price consistently breaching the upper band with momentum could indicate continuation, while repeated touches without strong closes may hint at reversal zones.
📌 Trend Reversal Signals – Watch for green markers below the lower band in uptrends (buy signals) and red markers above the upper band in downtrends (sell signals).
🔔 Alerts & Notifications
📢 Set Alerts for Exhaustion Signals!
Traders can configure alerts to trigger when price breaches the ATR bands, allowing for instant notifications when volatility-based exhaustion is detected.
📊 Example Scenarios
✔ Trend Exhaustion in Overextended Moves – A series of red crosses near resistance may indicate a short opportunity.
✔ Trend Exhaustion in Overextended Moves – A series of red crosses near resistance may indicate an opportunity to open a short trade.
✔ Volatility Compression Breakouts – If price consolidates within the ATR bands and suddenly breaks out, it could signify a momentum shift.
✔ Reversal Catching in Trending Markets – Spot potential trend reversals by looking for green markers below the ATR bands in bullish markets.
🌟 Why Choose AE - ATR Exhaustion Channel?
Trade with Confidence. Spot Volatility. Catch Breakouts.
The AE - ATR Exhaustion Channel is an essential tool for traders looking to identify trend exhaustion, detect breakouts, and manage volatility effectively. Whether you're trading stocks, crypto, or forex, this ATR-SMA hybrid system provides clear visual cues to help you stay ahead of market moves.
✅ Customizable to Fit Any Market
✅ Combines Volatility & Trend Analysis
✅ Easy-to-Use with Instant Breakout Detection
Indicator
Triple Trend Indicator [BigBeluga]Triple Trend Indicator is a versatile trend-following tool designed to help traders identify trend strength and potential pullback levels using a three-band system. Each band represents a varying degree of price deviation from the mean, providing progressively stronger trend signals.
🔵 Key Features:
Three Adaptive Bands:
The indicator dynamically calculates three bands (1, 2, and 3) based on moving averages (SMA, EMA, WMA) and ATR multipliers.
Bands are positioned below the price in an uptrend and above the price in a downtrend, offering clear trend direction visualization.
Signal System:
Signals are generated when price interacts with the bands:
Signal 1: Triggered when the price touches Band 1, indicating a minor pullback within the trend.
Signal 2: Triggered at Band 2, showing a stronger price deviation and trend confirmation.
Signal 3: Triggered at Band 3, representing the most significant price deviation and strongest trend signal.
The further the price deviates from the mean, the stronger the trend signal, with Signal 3 being the most robust.
Color-Coded Bands:
Bands dynamically change color based on the trend direction:
Green bands signify an uptrend.
Brown bands signify a downtrend.
Dynamic Trend Line Changes:
Dashed lines highlight trend changes, helping traders visualize key turning points in the market.
🔵 Usage:
Use the bands to identify trend direction and strength.
Monitor the signal system to assess the level of price deviation and potential pullback strength.
Combine Signal 1, 2, and 3 to confirm trend momentum:
Signal 1 suggests a weaker pullback and continuation.
Signal 2 indicates a stronger trend confirmation.
Signal 3 highlights the strongest momentum and potential exhaustion points.
Utilize the color-coded bands for an intuitive understanding of current market conditions.
The Triple Trend Indicator is an ideal tool for trend traders looking for structured signals and dynamic support and resistance levels to optimize entries and exits.
Indicator
MEMEQUANTMEMEQUANT
This script is a comprehensive and specialized tool designed for tracking trends and money flow within meme coins and DEX tokens. By combining various features such as trend lines, Fibonacci levels, and category-based indices, it helps traders make informed decisions in highly volatile markets.
Key Features:
1. Category-Based Indices:
• Tracks the performance of token categories like:
• AI Agent Tokens
• AI Tokens
• Animal Tokens
• Murad Picks
• Each category consists of leader tokens, which are selected based on their higher market cap and trading volume. These tokens act as benchmarks for their respective categories.
• Visualizes category indices in a line chart to identify trends and compare money flow between categories.
2. Fibonacci Correction Zones:
• Highlights key retracement levels (e.g., 60%, 70%, 80%).
• These levels are crucial for identifying potential reversal zones, commonly observed in meme coin trading patterns.
• Fully customizable to match individual trading strategies.
3. Trend Lines:
• Automatically detects major support and resistance levels.
• Separates long-term and short-term trend lines, allowing traders to focus on significant price movements.
4. Enhanced Info Table:
• Provides real-time insights, including:
• % Distance from All-Time High (ATH)
• Current Trading Volume
• 50-bar Average Volume
• Volume Change Percentage
• Displays information in an easy-to-read table on the chart.
5. Customizable Settings:
• Users can adjust transparency, colors, and ranges for Fibonacci zones, trend lines, and the table.
• Enables or disables individual features (e.g., Fibonacci, trend lines, table) based on preferences.
How It Works:
1. Tracking Money Flow Across Categories:
• The script calculates the market cap to volume ratio for each category of tokens to help identify the dominant trend.
• A higher ratio indicates greater liquidity and stability, while a lower ratio suggests higher volatility or price manipulation.
2. Identifying Retracement Patterns:
• Leverages common retracement behaviors (e.g., 70% correction levels) observed in meme coins to detect potential reversal zones.
• Combines this with trend line analysis for additional confirmation.
3. Leader Tokens as Indicators:
• Each category is represented by its leader tokens, which have historically higher liquidity and market cap. This allows the script to accurately reflect the overall trend in each category.
When to Use:
• Trend Analysis: To identify which category (e.g., AI Tokens or Animal Tokens) is leading the market.
• Reversal Zones: To spot potential support or resistance levels using Fibonacci zones.
• Money Flow: To understand how capital is moving across different token categories in real time.
Who Is This For?
This script is tailored for:
• Traders specializing in meme coins and DEX tokens.
• Those looking for an edge in trend-based trading by analyzing market cap, volume, and retracement levels.
• Anyone aiming to track money flow dynamics between different token categories.
Future Updates:
This is the initial version of the script. Future updates may include:
• Support for additional token categories and DEX data.
• More advanced pattern recognition and alerts for volume and price anomalies.
• Enhanced visualization for historical data trends.
With this tool, traders can combine money flow analysis with the 60-70% retracement strategy, turning it into a powerful assistant for navigating the fast-paced world of meme coins and DEX tokens.
This script is designed to provide meaningful insights and practical utility for traders, adhering to PulseWire’s standards for originality, clarity, and user value.
Indicator
VIDYA ProTrend Multi-Tier ProfitHello! This time is about a trend-following system.
VIDYA is quite an interesting indicator that adjusts dynamically to market volatility, making it more responsive to price changes compared to traditional moving averages. Balancing adaptability and precision, especially with the more aggressive short trade settings, challenged me to fine-tune the strategy for a variety of market conditions.
█ Introduction and How it is Different
The "VIDYA ProTrend Multi-Tier Profit" strategy is a trend-following system that combines the VIDYA (Variable Index Dynamic Average) indicator with Bollinger Bands and a multi-step take-profit mechanism.
Unlike traditional trend strategies, this system allows for more adaptive profit-taking, adjusting for long and short positions through distinct ATR-based and percentage-based targets. The innovation lies in its dynamic multi-tier approach to profit-taking, especially for short trades, where more aggressive percentages are applied using a multiplier. This flexibility helps adapt to various market conditions by optimizing trade management and profit allocation based on market volatility and trend strength.
BTCUSD 6hr performance
█ Strategy, How it Works: Detailed Explanation
The core of the "VIDYA ProTrend Multi-Tier Profit" strategy lies in the dual VIDYA indicators (fast and slow) that analyze price trends while accounting for market volatility. These indicators work alongside Bollinger Bands to filter trade entries and exits.
🔶 VIDYA Calculation
The VIDYA indicator is calculated using the following formula:
Smoothing factor (𝛼):
alpha = 2 / (Length + 1)
VIDYA formula:
VIDYA(t) = alpha * k * Price(t) + (1 - alpha * k) * VIDYA(t-1)
Where:
k = |Chande Momentum Oscillator (MO)| / 100
🔶 Bollinger Bands as a Volatility Filter
Bollinger Bands are calculated using a rolling mean and standard deviation of price over a specified period:
Upper Band:
BB_upper = MA + (K * stddev)
Lower Band:
BB_lower = MA - (K * stddev)
Where:
MA is the moving average,
K is the multiplier (typically 2), and
stddev is the standard deviation of price over the Bollinger Bands length.
These bands serve as volatility filters to identify potential overbought or oversold conditions, aiding in the entry and exit logic.
🔶 Slope Calculation for VIDYA
The slopes of both fast and slow VIDYAs are computed to assess the momentum and direction of the trend. The slope for a given VIDYA over its length is:
Slope = (VIDYA(t) - VIDYA(t-n)) / n
Where:
n is the length of the lookback period. Positive slope indicates bullish momentum, while negative slope signals bearish momentum.
LOCAL picture
🔶 Entry and Exit Conditions
- Long Entry: Occurs when the price moves above the slow VIDYA and the fast VIDYA is trending upward. Bollinger Bands confirm the signal when the price crosses the upper band, indicating bullish strength.
- Short Entry: Happens when the price drops below the slow VIDYA and the fast VIDYA trends downward. The signal is confirmed when the price crosses the lower Bollinger Band, showing bearish momentum.
- Exit: Based on VIDYA slopes flattening or reversing, or when the price hits specific ATR or percentage-based profit targets.
🔶 Multi-Step Take Profit Mechanism
The strategy incorporates three levels of take profit for both long and short trades:
- ATR-based Take Profit: Each step applies a multiple of the ATR (Average True Range) to the entry price to define the exit point.
The first level of take profit (long):
TP_ATR1_long = Entry Price + (2.618 * ATR)
etc.
█ Trade Direction
The strategy offers flexibility in defining the trading direction:
- Long: Only long trades are considered based on the criteria for upward trends.
- Short: Only short trades are initiated in bearish trends.
- Both: The strategy can take both long and short trades depending on the market conditions.
█ Usage
To use the strategy effectively:
- Adjust the VIDYA lengths (fast and slow) based on your preference for trend sensitivity.
- Use Bollinger Bands as a filter for identifying potential breakout or reversal scenarios.
- Enable the multi-step take profit feature to manage positions dynamically, allowing for partial exits as the price reaches specified ATR or percentage levels.
- Leverage the short trade multiplier for more aggressive take profit levels in bearish markets.
This strategy can be applied to different asset classes, including equities, forex, and cryptocurrencies. Adjust the input parameters to suit the volatility and characteristics of the asset being traded.
█ Default Settings
The default settings for this strategy have been designed for moderate to trending markets:
- Fast VIDYA Length (10): A shorter length for quick responsiveness to price changes. Increasing this length will reduce noise but may delay signals.
- Slow VIDYA Length (30): The slow VIDYA is set longer to capture broader market trends. Shortening this value will make the system more reactive to smaller price swings.
- Minimum Slope Threshold (0.05): This threshold helps filter out weak trends. Lowering the threshold will result in more trades, while raising it will restrict trades to stronger trends.
Multi-Step Take Profit Settings
- ATR Multipliers (2.618, 5.0, 10.0): These values define how far the price should move before taking profit. Larger multipliers widen the profit-taking levels, aiming for larger trend moves. In higher volatility markets, these values might be adjusted downwards.
- Percentage Levels (3%, 8%, 17%): These percentage levels define how much the price must move before taking profit. Increasing the percentages will capture larger moves, while smaller percentages offer quicker exits.
- Short TP Multiplier (1.5): This multiplier applies more aggressive take profit levels for short trades. Adjust this value based on the aggressiveness of your short trade management.
Each of these settings directly impacts the performance and risk profile of the strategy. Shorter VIDYA lengths and lower slope thresholds will generate more trades but may result in more whipsaws. Higher ATR multipliers or percentage levels can delay profit-taking, aiming for larger trends but risking partial gains if the trend reverses too early.
Strategy
Multi-Step FlexiSuperTrend - Strategy [presentTrading]At the heart of this endeavor is a passion for continuous improvement in the art of trading
█ Introduction and How it is Different
The "Multi-Step FlexiSuperTrend - Strategy " is an advanced trading strategy that integrates the well-known SuperTrend indicator with a nuanced and dynamic approach to market trend analysis. Unlike conventional SuperTrend strategies that rely on static thresholds and fixed parameters, this strategy introduces multi-step take profit mechanisms that allow traders to capitalize on varying market conditions in a more controlled and systematic manner.
What sets this strategy apart is its ability to dynamically adjust to market volatility through the use of an incremental factor applied to the SuperTrend calculation. This adjustment ensures that the strategy remains responsive to both minor and major market shifts, providing a more accurate signal for entries and exits. Additionally, the integration of multi-step take profit levels offers traders the flexibility to scale out of positions, locking in profits progressively as the market moves in their favor.
BTC 6hr Long/Short Performance
█ Strategy, How it Works: Detailed Explanation
The Multi-Step FlexiSuperTrend strategy operates on the foundation of the SuperTrend indicator, but with several enhancements that make it more adaptable to varying market conditions. The key components of this strategy include the SuperTrend Polyfactor Oscillator, a dynamic normalization process, and multi-step take profit levels.
🔶 SuperTrend Polyfactor Oscillator
The SuperTrend Polyfactor Oscillator is the heart of this strategy. It is calculated by applying a series of SuperTrend calculations with varying factors, starting from a defined "Starting Factor" and incrementing by a specified "Increment Factor." The indicator length and the chosen price source (e.g., HLC3, HL2) are inputs to the oscillator.
The SuperTrend formula typically calculates an upper and lower band based on the average true range (ATR) and a multiplier (the factor). These bands determine the trend direction. In the FlexiSuperTrend strategy, the oscillator is enhanced by iteratively applying the SuperTrend calculation across different factors. The iterative process allows the strategy to capture both minor and significant trend changes.
For each iteration (indexed by `i`), the following calculations are performed:
1. ATR Calculation: The Average True Range (ATR) is calculated over the specified `indicatorLength`:
ATR_i = ATR(indicatorLength)
2. Upper and Lower Bands Calculation: The upper and lower bands are calculated using the ATR and the current factor:
Upper Band_i = hl2 + (ATR_i * Factor_i)
Lower Band_i = hl2 - (ATR_i * Factor_i)
Here, `Factor_i` starts from `startingFactor` and is incremented by `incrementFactor` in each iteration.
3. Trend Determination: The trend is determined by comparing the indicator source with the upper and lower bands:
Trend_i = 1 (uptrend) if IndicatorSource > Upper Band_i
Trend_i = 0 (downtrend) if IndicatorSource < Lower Band_i
Otherwise, the trend remains unchanged from the previous value.
4. Output Calculation: The output of each iteration is determined based on the trend:
Output_i = Lower Band_i if Trend_i = 1
Output_i = Upper Band_i if Trend_i = 0
This process is repeated for each iteration (from 0 to 19), creating a series of outputs that reflect different levels of trend sensitivity.
Local
🔶 Normalization Process
To make the oscillator values comparable across different market conditions, the deviations between the indicator source and the SuperTrend outputs are normalized. The normalization method can be one of the following:
1. Max-Min Normalization: The deviations are normalized based on the range of the deviations:
Normalized Value_i = (Deviation_i - Min Deviation) / (Max Deviation - Min Deviation)
2. Absolute Sum Normalization: The deviations are normalized based on the sum of absolute deviations:
Normalized Value_i = Deviation_i / Sum of Absolute Deviations
This normalization ensures that the oscillator values are within a consistent range, facilitating more reliable trend analysis.
For more details:
🔶 Multi-Step Take Profit Mechanism
One of the unique features of this strategy is the multi-step take profit mechanism. This allows traders to lock in profits at multiple levels as the market moves in their favor. The strategy uses three take profit levels, each defined as a percentage increase (for long trades) or decrease (for short trades) from the entry price.
1. First Take Profit Level: Calculated as a percentage increase/decrease from the entry price:
TP_Level1 = Entry Price * (1 + tp_level1 / 100) for long trades
TP_Level1 = Entry Price * (1 - tp_level1 / 100) for short trades
The strategy exits a portion of the position (defined by `tp_percent1`) when this level is reached.
2. Second Take Profit Level: Similar to the first level, but with a higher percentage:
TP_Level2 = Entry Price * (1 + tp_level2 / 100) for long trades
TP_Level2 = Entry Price * (1 - tp_level2 / 100) for short trades
The strategy exits another portion of the position (`tp_percent2`) at this level.
3. Third Take Profit Level: The final take profit level:
TP_Level3 = Entry Price * (1 + tp_level3 / 100) for long trades
TP_Level3 = Entry Price * (1 - tp_level3 / 100) for short trades
The remaining portion of the position (`tp_percent3`) is exited at this level.
This multi-step approach provides a balance between securing profits and allowing the remaining position to benefit from continued favorable market movement.
█ Trade Direction
The strategy allows traders to specify the trade direction through the `tradeDirection` input. The options are:
1. Both: The strategy will take both long and short positions based on the entry signals.
2. Long: The strategy will only take long positions.
3. Short: The strategy will only take short positions.
This flexibility enables traders to tailor the strategy to their market outlook or current trend analysis.
█ Usage
To use the Multi-Step FlexiSuperTrend strategy, traders need to set the input parameters according to their trading style and market conditions. The strategy is designed for versatility, allowing for various market environments, including trending and ranging markets.
Traders can also adjust the multi-step take profit levels and percentages to match their risk management and profit-taking preferences. For example, in highly volatile markets, traders might set wider take profit levels with smaller percentages at each level to capture larger price movements.
The normalization method and the incremental factor can be fine-tuned to adjust the sensitivity of the SuperTrend Polyfactor Oscillator, making the strategy more responsive to minor market shifts or more focused on significant trends.
█ Default Settings
The default settings of the strategy are carefully chosen to provide a balanced approach between risk management and profit potential. Here is a breakdown of the default settings and their effects on performance:
1. Indicator Length (10): This parameter controls the lookback period for the ATR calculation. A shorter length makes the strategy more sensitive to recent price movements, potentially generating more signals. A longer length smooths out the ATR, reducing sensitivity but filtering out noise.
2. Starting Factor (0.618): This is the initial multiplier used in the SuperTrend calculation. A lower starting factor makes the SuperTrend bands closer to the price, generating more frequent trend changes. A higher starting factor places the bands further away, filtering out minor fluctuations.
3. Increment Factor (0.382): This parameter controls how much the factor increases with each iteration of the SuperTrend calculation. A smaller increment factor results in more gradual changes in sensitivity, while a larger increment factor creates a wider range of sensitivity across the iterations.
4. Normalization Method (None): The default is no normalization, meaning the raw deviations are used. Normalization methods like Max-Min or Absolute Sum can make the deviations more consistent across different market conditions, improving the reliability of the oscillator.
5. Take Profit Levels (2%, 8%, 18%): These levels define the thresholds for exiting portions of the position. Lower levels (e.g., 2%) capture smaller profits quickly, while higher levels (e.g., 18%) allow positions to run longer for more significant gains.
6. Take Profit Percentages (30%, 20%, 15%): These percentages determine how much of the position is exited at each take profit level. A higher percentage at the first level locks in more profit early, reducing exposure to market reversals. Lower percentages at higher levels allow for a portion of the position to benefit from extended trends.
Strategy
Strategic Multi-Step Supertrend - Strategy [presentTrading]The code is mainly developed for me to stimulate the multi-step taking profit function for strategies. The result shows the drawdown can be reduced but at the same time reduced the profit as well. It can be a heuristic for futures leverage traders.
█ Introduction and How it is Different
The "Strategic Multi-Step Supertrend" is a trading strategy designed to leverage the power of multiple steps to optimize trade entries and exits across the Supertrend indicator. Unlike traditional strategies that rely on single entry and exit points, this strategy employs a multi-step approach to take profit, allowing traders to lock in gains incrementally. Additionally, the strategy is adaptable to both long and short trades, providing a comprehensive solution for dynamic market conditions.
This template strategy lies in its dual Supertrend calculation, which enhances the accuracy of trend detection and provides more reliable signals for trade entries and exits. This approach minimizes false signals and increases the overall profitability of trades by ensuring that positions are entered and exited at optimal points.
BTC 6h L/S Performance
█ Strategy, How It Works: Detailed Explanation
The "Strategic Multi-Step Supertrend Trader" strategy utilizes two Supertrend indicators calculated with different parameters to determine the direction and strength of the market trend. This dual approach increases the robustness of the signals, reducing the likelihood of entering trades based on false signals. Here is a detailed breakdown of how the strategy operates:
🔶 Supertrend Indicator Calculation
The Supertrend indicator is a trend-following overlay on the price chart, typically used to identify the direction of the trend. It is calculated using the Average True Range (ATR) to ensure that the indicator adapts to market volatility. The formula for the Supertrend indicator is:
Upper Band = (High + Low) / 2 + (Factor * ATR)
Lower Band = (High + Low) / 2 - (Factor * ATR)
Where:
- High and Low are the highest and lowest prices of the period.
- Factor is a user-defined multiplier.
- ATR is the Average True Range over a specified period.
The Supertrend changes its direction based on the closing price in relation to these bands.
🔶 Entry-Exit Conditions
The strategy enters long positions when both Supertrend indicators signal an uptrend, and short positions when both indicate a downtrend. Specifically:
- Long Condition: Supertrend1 < 0 and Supertrend2 < 0
- Short Condition: Supertrend1 > 0 and Supertrend2 > 0
- Long Exit Condition: Supertrend1 > 0 and Supertrend2 > 0
- Short Exit Condition: Supertrend1 < 0 and Supertrend2 < 0
🔶 Multi-Step Take Profit Mechanism
The strategy features a multi-step take profit mechanism, which allows traders to lock in profits incrementally. This is achieved through four user-configurable take profit levels. For each level, the strategy specifies a percentage increase (for long trades) or decrease (for short trades) in the entry price at which a portion of the position is exited:
- Step 1: Exit a portion of the trade at Entry Price * (1 + Take Profit Percent1 / 100)
- Step 2: Exit a portion of the trade at Entry Price * (1 + Take Profit Percent2 / 100)
- Step 3: Exit a portion of the trade at Entry Price * (1 + Take Profit Percent3 / 100)
- Step 4: Exit a portion of the trade at Entry Price * (1 + Take Profit Percent4 / 100)
This staggered exit strategy helps in locking profits at multiple levels, thereby reducing risk and increasing the likelihood of capturing the maximum possible profit from a trend.
BTC Local
█ Trade Direction
The strategy is highly flexible, allowing users to specify the trade direction. There are three options available:
- Long Only: The strategy will only enter long trades.
- Short Only: The strategy will only enter short trades.
- Both: The strategy will enter both long and short trades based on the Supertrend signals.
This flexibility allows traders to adapt the strategy to various market conditions and their own trading preferences.
█ Usage
1. Add the strategy to your trading platform and apply it to the desired chart.
2. Configure the take profit settings under the "Take Profit Settings" group.
3. Set the trade direction under the "Trade Direction" group.
4. Adjust the Supertrend settings in the "Supertrend Settings" group to fine-tune the indicator calculations.
5. Monitor the chart for entry and exit signals as indicated by the strategy.
█ Default Settings
- Use Take Profit: True
- Take Profit Percentages: Step 1 - 6%, Step 2 - 12%, Step 3 - 18%, Step 4 - 50%
- Take Profit Amounts: Step 1 - 12%, Step 2 - 8%, Step 3 - 4%, Step 4 - 0%
- Number of Take Profit Steps: 3
- Trade Direction: Both
- Supertrend Settings: ATR Length 1 - 10, Factor 1 - 3.0, ATR Length 2 - 11, Factor 2 - 4.0
These settings provide a balanced starting point, which can be customized further based on individual trading preferences and market conditions.
Strategy
Wall Street Cheat Sheet IndicatorThe Wall Street Cheat Sheet Indicator is a unique tool designed to help traders identify the psychological stages of the market cycle based on the well-known Wall Street Cheat Sheet. This indicator integrates moving averages and RSI to dynamically label market stages, providing clear visual cues on the chart.
Key Features:
Dynamic Stage Identification: The indicator automatically detects and labels market stages such as Disbelief, Hope, Optimism, Belief, Thrill, Euphoria, Complacency, Anxiety, Denial, Panic, Capitulation, Anger, and Depression. These stages are derived from the emotional phases of market participants, helping traders anticipate market movements.
Technical Indicators: The script uses two key technical indicators:
200-day Simple Moving Average (SMA): Helps identify long-term market trends.
50-day Simple Moving Average (SMA): Aids in recognizing medium-term trends.
Relative Strength Index (RSI): Assesses the momentum and potential reversal points based on overbought and oversold conditions.
Clear Visual Labels: The current market stage is displayed directly on the chart, making it easy to spot trends and potential turning points.
Usefulness:
This indicator is not just a simple mashup of existing tools. It uniquely combines the concept of market psychology with practical technical analysis tools (moving averages and RSI). By labeling the psychological stages of the market cycle, it provides traders with a deeper understanding of market sentiment and potential future movements.
How It Works:
Disbelief: Detected when the price is below the 200-day SMA and RSI is in the oversold territory, indicating a potential bottom.
Hope: Triggered when the price crosses above the 50-day SMA, with RSI starting to rise but still below 50, suggesting an early uptrend.
Optimism: Occurs when the price is above the 50-day SMA and RSI is between 50 and 70, indicating a strengthening trend.
Belief: When the price is well above the 50-day SMA and RSI is between 70 and 80, showing strong bullish momentum.
Thrill and Euphoria: Identified when RSI exceeds 80, indicating overbought conditions and potential for a peak.
Complacency to Depression: These stages are identified based on price corrections and drops relative to moving averages and declining RSI values.
Best Practices:
High-Time Frame Focus: This indicator works best on high-time frame charts, specifically the 1-week Bitcoin (BTCUSDT) chart. The longer time frame provides a clearer picture of the overall market cycle and reduces noise.
Trend Confirmation: Use in conjunction with other technical analysis tools such as trendlines, Fibonacci retracement levels, and support/resistance zones for more robust trading strategies.
How to Use:
Add the Indicator: Apply the Wall Street Cheat Sheet Indicator to your PulseWire chart.
Analyze Market Stages: Observe the dynamic labels indicating the current stage of the market cycle.
Make Informed Decisions: Use the insights from the indicator to time your entries and exits, aligning your trades with the market sentiment.
This indicator is a valuable tool for traders looking to understand market psychology and make informed trading decisions based on the stages of the market cycle.
Indicator
Kaufman Adaptive Moving Average (KAMA) Strategy [TradeDots]"The Kaufman Adaptive Moving Average (KAMA) Strategy" is a trend-following system that leverages the adaptive qualities of the Kaufman Adaptive Moving Average (KAMA). This strategy is distinguished by its ability to adjust dynamically to market volatility, enhancing trading accuracy by minimizing the effects of false and delayed signals often associated with the Simple Moving Average (SMA).
HOW IT WORKS
This strategy is centered around use of the Kaufman Adaptive Moving Average (KAMA) indicator, which refines the principles of the Exponential Moving Average (EMA) with a superior smoothing technique.
KAMA distinguishes itself by its responsiveness to changes in market prices through an "Efficiency Ratio (ER)." This ratio is computed by dividing the recent absolute net price change by the cumulative sum of the absolute price changes over a specified period. The resulting ER value ranges between 0 and 1, where 0 indicates high market noise and 1 reflects stronger market momentum.
Using ER, we could get the smoothing constant (SC) for the moving average derived using the following formula:
fastest = 2/(fastma_length + 1)
slowest = 2/(slowma_length + 1)
SC = math.pow((ER * (fastest-slowest) + slowest), 2)
The KAMA line is then calculated by applying the SC to the difference between the current price and the previous KAMA.
APPLICATION
For entering long positions, this strategy initializes when there is a sequence of 10 consecutive rising KAMA lines. Conversely, a sequence of 10 consecutive falling KAMA lines triggers sell orders for long positions. The same logic applies inversely for short positions.
DEFAULT SETUP
Commission: 0.01%
Initial Capital: $10,000
Equity per Trade: 80%
Users are advised to adjust and personalize this trading strategy to better match their individual trading preferences and style.
RISK DISCLAIMER
Trading entails substantial risk, and most day traders incur losses. All content, tools, scripts, articles, and education provided by TradeDots serve purely informational and educational purposes. Past performances are not definitive predictors of future results.
Strategy
Price Based Z-Trend - Strategy [presentTrading]█ Introduction and How it is Different
Z-score: a statistical measurement of a score's relationship to the mean in a group of scores.
Simple but effective approach.
The "Price Based Z-Trend - Strategy " leverages the Z-score, a statistical measure that gauges the deviation of a price from its moving average, normalized against its standard deviation. This strategy stands out due to its simplicity and effectiveness, particularly in markets where price movements often revert to a mean. Unlike more complex systems that might rely on a multitude of indicators, the Z-Trend strategy focuses on clear, statistically significant price movements, making it ideal for traders who prefer a streamlined, data-driven approach.
BTCUSD 6h LS Performance
█ Strategy, How It Works: Detailed Explanation
🔶 Calculation of the Z-score
"Z-score is a statistical measurement that describes a value's relationship to the mean of a group of values. Z-score is measured in terms of standard deviations from the mean. If a Z-score is 0, it indicates that the data point's score is identical to the mean score. A Z-score of 1.0 would indicate a value that is one standard deviation from the mean. Z-scores may be positive or negative, with a positive value indicating the score is above the mean and a negative score indicating it is below the mean."
The Z-score is central to this strategy. It is calculated by taking the difference between the current price and the Exponential Moving Average (EMA) of the price over a user-defined length, then dividing this by the standard deviation of the price over the same length:
z = (x - μ) /σ
Local
🔶 Trading Signals
Trading signals are generated based on the Z-score crossing predefined thresholds:
- Long Entry: When the Z-score crosses above the positive threshold.
- Long Exit: When the Z-score falls below the negative threshold.
- Short Entry: When the Z-score falls below the negative threshold.
- Short Exit: When the Z-score rises above the positive threshold.
█ Trade Direction
The strategy allows users to select their preferred trading direction through an input option.
█ Usage
To use this strategy effectively, traders should first configure the Z-score thresholds according to their risk tolerance and market volatility. It's also crucial to adjust the length for the EMA and standard deviation calculations based on historical performance and the expected "noise" in price data.
The strategy is designed to be flexible, allowing traders to refine settings to better capture profitable opportunities in specific market conditions.
█ Default Settings
- Trade Direction: Both
- Standard Deviation Length: 100
- Average Length: 100
- Threshold for Z-score: 1.0
- Bar Color Indicator: Enabled
These settings offer a balanced starting point but can be customized to suit various trading styles and market environments. The strategy's parameters are designed to be adjusted as traders gain experience and refine their approach based on ongoing market analysis.
Z-score is a must-learn approach for every algorithmic trader.
Strategy
Crypto Stablecoin Supply - Indicator [presentTrading]█ Introduction and How it is Different
The "Stablecoin Supply - Indicator" differentiates itself by focusing on the aggregate supply of major stablecoins—USDT, USDC, and DAI—rather than traditional price-based metrics. Its premise is that fluctuations in the total supply of these stablecoins can serve as leading indicators for broader market movements, offering traders a unique vantage point to anticipate shifts in market sentiment.
BTCUSD 6h for recent bull market
BTCUSD 8h
█ Strategy, How it Works: Detailed Explanation
🔶 Data Collection
The strategy begins with the collection of the closing supply for USDT, USDC, and DAI stablecoins. This data is fetched using a specified timeframe (**`tfInput`**), allowing for flexibility in analysis periods.
🔶 Supply Calculation
The individual supplies of USDT, USDC, and DAI are then aggregated to determine the total stablecoin supply within the market at any given time. This combined figure serves as the foundation for the subsequent statistical analysis.
🔶 Z-Score Computation
The heart of the indicator's strategy lies in the computation of the Z-Score, which is a statistical measure used to identify how far a data point is from the mean, relative to the standard deviation. The formula for the Z-Score is:
Z = (X - μ) / σ
Where:
- Z is the Z-Score
- X is the current total stablecoin supply (TotalStablecoinClose)
- μ (mu) is the mean of the total stablecoin supply over a specified length (len)
- σ (sigma) is the standard deviation of the total stablecoin supply over the same length
A moving average of the Z-Score (**`zScore_ma`**) is calculated over a short period (defaulted to 3) to smooth out the volatility and provide a clearer signal.
🔶 Signal Interpretation
The Z-Score itself is plotted, with its color indicating its relation to a defined threshold (0.382), serving as a direct visual cue for market sentiment. Zones are also highlighted to show when the Z-Score is within certain extreme ranges, suggesting overbought or oversold conditions.
Bull -> Bear
█ Trade Direction
- **Entry Threshold**: A Z-Score crossing above 0.382 suggests an increase in stablecoin supply relative to its historical average, potentially indicating bullish market sentiment or incoming capital flow into cryptocurrencies.
- **Exit Threshold**: Conversely, a Z-Score dropping below -0.382 may signal a reduction in stablecoin supply, hinting at bearish sentiment or capital withdrawal.
█ Usage
Traders can leverage the "Stablecoin Supply - Indicator" to gain insights into the underlying market dynamics that are not immediately apparent through price analysis alone. It is particularly useful for identifying potential shifts in market sentiment before they are reflected in price movements. By integrating this indicator with other technical analysis tools, traders can develop a more rounded and informed trading strategy.
█ Default Settings
- Timeframe Input (`tfInput`): Allows users to specify the timeframe for data collection, adding flexibility to the analysis.
- Z-Score Length (`len`): Set to 252 by default, representing the period over which the mean and standard deviation of the stablecoin supply are calculated.
- Color Coding: Uses distinct colors (green for bullish, red for bearish) to indicate the Z-Score's position relative to its thresholds, enhancing visual clarity.
- Extreme Range Fill: Highlights areas between defined high and low Z-Score thresholds with distinct colors to indicate potential overbought or oversold conditions.
By integrating considerations of stablecoin supply into the analytical framework, the "Stablecoin Supply - Indicator" offers a novel perspective on cryptocurrency market dynamics, enabling traders to make more nuanced and informed decisions.
Indicator
Session Breakout Scalper Trading BotHi Traders !
Introduction:
I have recently been exploring the world of automated algorithmic trading (as I prefer more objective trading strategies over subjective technical analysis (TA)) and would like to share one of my automation compatible (PineConnecter compatible) scripts “Session Breakout Scalper”.
The strategy is really simple and is based on time conditional breakouts although has more ”relatively” advanced optional features such as the regime indicators (Regime Filters) that attempt to filter out noise by adding more confluence states and the ATR multiple SL that takes into account volatility to mitigate the down side risk of the trade.
What is Algorthmic Trading:
Firstly what is algorithmic trading? Algorithmic trading also known as algo-trading, is a method of using computer programs (in this case pine script) to execute trades based on predetermined rules and instructions (this trading strategy). It's like having a robot trader who follows a strict set of commands to buy and sell assets automatically, without any human intervention.
Important Note:
For Algorithmic trading the strategy will require you having an essential TV subscription at the minimum (so that you can set alerts) plus a PineConnecter subscription (scroll down to the .”How does the strategy send signals” headings to read more)
The Strategy Explained:
Is the Time input true ? (this can be changed by toggling times under the “TRADE MEDIAN TIMES” group for user inputs).
Given the above is true the strategy waits x bars after the session and then calculates the highest high (HH) to lowest low (LL) range. For this box to form, the user defined amount of bars must print after the session. The box is symmetrical meaning the HH and LL are calculated over a lookback that is equal to the sum of user defined bars before and after the session (+ 1).
The Strategy then simultaneously defines the HH as the buy level (green line) and the LL as the sell level (red line). note the strategy will set stop orders at these levels respectively.
Enter a buy if price action crosses above the HH, and then cancel the sell order type (The opposite is true for a stop order).
If the momentum based regime filters are true the strategy will check for the regime / regimes to be true, if the regime if false the strategy will exit the current trade, as the regime filter has predicted a slowing / reversal of momentum.
The image below shows the strategy executing these trading rules ( Regime filters, "Trades on chart", "Signal & Label" and "Quantity" have been omitted. "Strategy label plots" has been switched to true)
Other Strategy Rules:
If a new session (time session which is user defined) is true (blue vertical line) and the strategy is currently still in a trade it will exit that trade immediately.
It is possible to also set a range of percentage gain per day that the strategy will try to acquire, if at any point the strategy’s profit is within the percentage range then the position / trade will be exited immediately (This can be changed in the “PERCENT DAY GAIN” group for user inputs)
Stops and Targets:
The strategy has either static (fixed) or variable SL options. TP however is only static. The “STRAT TP & TP” group of user inputs is responsible for the SL and TP values (quoted in pips). Note once the ATR stop is set to true the SL values in the above group no longer have any affect on the SL as expected.
What are the Regime Filters:
The Larry Williams Large Trade Index (LWLTI): The Larry Williams Large Trade Index (LWTI) is a momentum-based technical indicator developed by iconic trader Larry Williams. It identifies potential entries and exits for trades by gauging market sentiment, particularly the buying and selling pressure from large market players. Here's a breakdown of the LWTI:
LWLTI components and their interpretation:
Oscillator: It oscillates between 0 and 100, with 50 acting as the neutral line.
Sentiment Meter: Values above 75 suggest a bearish market dominated by large selling, while readings below 25 indicate a bullish market with strong buying from large players.
Trend Confirmation: Crossing above 75 during an uptrend and below 25 during a downtrend confirms the trend's continuation.
The Andean Oscillator (AO) : The Andean Oscillator is a trend and momentum based indicator designed to measure the degree of variations within individual uptrends and downtrends in the prices.
Regime Filter States:
In trading, a regime filter is a tool used to identify the current state or "regime" of the market.
These Regime filters are integrated within the trading strategy to attempt to lower risk (equity volatility and/or draw down). The regime filters have different states for each market order type (buy and sell). When the regime filters are set to true, if these regime states fail to be true the trade is exited immediately.
For Buy Trades:
LWLTI positive momentum state: Quotient of the lagged trailing difference and the ATR > 50
AO positive momentum state: Bull line > Bear line (signal line is omitted)
For Sell Trades:
LWLTI negative momentum stat: Quotient of the lagged trailing difference and the ATR < 50
AO negative momentum state: Bull line < Bear line (signal line is omitted)
How does the Strategy Send Signals:
The strategy triggers a TV alert (you will neet to set a alert first), TV then sends a HTTP request to the automation software (PineConnecter) which receives the request and then communicates to an MT4/5 EA to automate the trading strategy.
For the strategy to send signals you must have the following
At least a TV essential subscription
This Script added to your chart
A PineConnecter account, which is paid and not free. This will provide you with the expert advisor that executes trades based on these strategies signals.
For more detailed information on the automation process I would recommend you read the PineConnecter documentation and FAQ page.
Dashboard:
This Dashboard (top right by defualt) lists some simple trading statistics and also shows when a trade is live.
Important Notice:
- USE THIS STRATEGY AT YOUR OWN RISK AND ALWAYS DO YOUR OWN RESEARCH & MANUAL BACKTESTING !
- THE STRATEGY WILL NOT EXHIBIT THE BACKTEST PERFORMANCE SEEN BELOW IN ALL MARKETS !
Strategy
Worm *Public*This Pine Script code is designed to create a custom technical indicator called "Worm" that helps identify trends in the market based on momentum. Let's break down the code and its settings:
Indicator Title and Overlay:
The indicator is named "Worm (Clean)" and is set to be overlaid on the price chart.
Input Settings:
The code defines various input settings, which can be customized by the user. These settings include:
Indicator Settings (e.g., Alpha, Gap)
Backtest Settings (e.g., HighlightCrossovers, ApplyNorm)
Color Settings (e.g., Buy Color, Sell Color, Wait Color)
Location Settings for displaying the indicator above, below, or at the price.
Toggleable Inputs:
These settings allow you to choose whether the momentum indicator should be displayed above, below, or at the price chart. You can also specify the colors for buy, sell, and wait signals.
Indicator Calculations:
The code calculates momentum using various formulas involving the source price data (e.g., open, high, low, close). Momentum values are stored in variables L0, L1, L2, L3, and lrsi.
It also calculates the Color values for the indicator based on certain conditions and user-defined settings.
Bcolor and Scolor are used to determine the color of the plotted indicator based on buy and sell conditions.
Bollinger Bands (BB) and Keltner Channels (KC) Calculation:
The code calculates Bollinger Bands (UpperBB and LowerBB) and Keltner Channels (UpperKC and LowerKC) using the source price data.
It also determines whether the market is in a squeeze (SqzOn) or not (NoSqz) based on the relationship between BB and KC.
Signal Generation:
Buy and sell signals are generated based on various conditions, including momentum values and the squeeze state.
The color of the indicator line is determined based on the buy and sell signals.
LagF Calculation:
The LagF variable is calculated based on certain formulas involving the L0Line, L1Line, L2Line, and L3Line values.
Control Color:
The Color variable is used to control the color of the LagF indicator line based on certain conditions.
Plotting:
The momentum indicator (Val) is plotted on the chart with the specified colors and style.
The LagF indicator (Worm) is also plotted with a dynamic color based on market conditions.
Alerts are triggered when buy or sell signals are generated.
Experimental Section:
This section appears to be left for experimentation and may contain additional code or features.
Overall, this Pine Script code calculates and displays a custom momentum-based indicator called "Worm" on a price chart. It generates buy and sell signals based on momentum and squeeze conditions and allows users to customize various settings, including indicator location and colors. The code is designed for technical analysis and trend identification in financial markets.
Indicator
