Nifty Breakout Levels Strategy (v7 Hybrid)Nifty Breakout Levels Strategy (v7 Hybrid – Compounding from Start Date)
Instrument / TF: Designed for current-month NIFTY futures on 1-hour timeframe, with at most 1 trade per day.
Entry logic: Uses a 10-bar breakout box with a 0.3% buffer, plus EMA-based trend + proximity filter.
Longs: price in breakout-high zone, above EMA50/EMA200 and within proximityPts.
Shorts: price in breakout-low zone and strong downtrend (EMA10 < EMA20 < EMA50 < EMA200, price below EMA200).
Trades only when ATR(14) > atrTradeThresh and during regular hours (till 15:15).
Risk / exits: Stop loss is ATR-adaptive – max of slBasePoints (100 pts) and ATR * atrSLFactor; TP is fixed (tpPoints, e.g. 350 pts).
Longs have stepped trailing profit levels (100/150/200/250/320 pts) that lock in gains on pullbacks.
Shorts have trailing loss-reduction levels (80/120/140 pts) to cut improving losses.
Additional exit: 1H EMA50 2-bar reversal against the position, plus optional EOD flatten at 3:15 PM.
Compounding engine: From a chosen start date, equity is rebased to startCapital, and lot size scales dynamically as equity / capitalPerLot, with automatic lot reductions at three drawdown thresholds (ddCut1 / 2 / 3).
Automation: All entries and exits are exposed via alertconditions (long/short entry & exit) so the strategy can be connected to broker/webhook automation.
Indicatori e strategie
MTF EMA Hariss 369The strategy has been prepared in a simplistic manner and easy to understand the concept by any novice trader.
Indicators used:
Current Time frame 20 EMA- Gives clear look about current time frame dynamic support and resistance and trend as well.
Higher Time Frame 20 EMA: Gives macro level trend, support and resistance
Kama: Capture volatility and trend direction.
RVOL: Main factor of price movement.
Buy when price closes above current time frame 20 ema and current time frame 20 ema is above higher time frame 20 ema. Stop loss just below the low of last candle. One can use current time frame 20 ema, higher time frame 20 ema or kama as stop loss depending upon type of asset class and risk appetite. The ideal way is to keep 20 ema as trailing sl if one wants to trail with trend.
Sell when price closes below current time frame 20 ema and current time frame 20 ema is lower than higher time frame 20 ema. Stop loss just above high of last candle.
Ideal target is 1.5 or 2 times of stop loss.
Entry and exit time depends on trading style. Eg. if you want to enter and exit in 5 min time frame, then choose 15 min or 1h as higher time frame as trend filter. Buy and sell signals are also plotted based on this strategy. One should always go with the higher time frame trend. Opting higher time frame trend filter always filters out market noises.
MA均线全仓回测//@version=5
strategy("39日MA均线全仓交易策略 (2017-2025)",
overlay=true,
initial_capital=1000,
commission_type=strategy.commission.percent,
commission_value=0.1,
pyramiding=0)
// 策略参数
startDate = input.time(timestamp("2017-08-01T00:00:00"), title="回测开始日期")
endDate = input.time(timestamp("2025-11-11T23:59:59"), title="回测结束日期")
maLength = input.int(39, title="MA周期", minval=1)
useSMA = input.bool(true, title="使用SMA(简单移动平均)")
// 计算移动平均线
maValue = useSMA ? ta.sma(close, maLength) : ta.ema(close, maLength)
// 绘制MA线
plot(maValue, color=color.new(color.blue, 0), linewidth=2, title="39日MA")
// 确定是否在回测时间范围内
inDateRange = time >= startDate and time <= endDate
// 交易逻辑 - 全仓交易
if inDateRange
// 生成交易信号：价格上穿MA时全仓买入，下穿MA时全仓卖出
longCondition = ta.crossover(close, maValue)
shortCondition = ta.crossunder(close, maValue)
// 执行交易 - 全仓操作
if longCondition
strategy.entry("全仓买入", strategy.long, qty=strategy.equity/close)
if shortCondition
strategy.close("全仓买入", comment="全仓卖出")
// 在回测时间范围外显示背景色
bgcolor(inDateRange ? color.new(color.green, 95) : na, title="回测期间背景")
// 添加性能统计和资金曲线
var float totalReturn = 0.0
if barstate.islast and inDateRange
totalReturn := ((strategy.netprofit + 1000) / 1000 - 1) * 100
label.new(bar_index, high,
text="回测结果: 初始资金: 1000 USDT 最终权益: " + str.tostring(strategy.netprofit + 1000, "#.##") + " USDT 总收益率: " + str.tostring(totalReturn, "#.##") + "% 总交易次数: " + str.tostring(strategy.closedtrades) + "次",
style=label.style_label_down, color=color.new(color.blue, 80), textcolor=color.white, size=size.normal)
// 绘制权益曲线
plot(strategy.equity, title="资金曲线", color=color.new(color.purple, 0), linewidth=1, trackprice=true)
Eagle Strategy_P This is the strategy for one of my oldest indicator but this newer version is more refined.
This is given access along with the indicator, so you can test your own settings as well.
Works best on 4h TF.
I mostly trade BTC and ETH and sometimes SOL as well, so I have included best settings for all of them. If you want to use it for some other coins, I have no idea if it'll work for them or not, so if you want my recommendation, just stick to these three.
For reference...settings are
BTC - 195 | 195
ETH - 91 | 175
SOL - 150 | 194
5分钟布林带吞没策略超级剥头皮策略5分钟级别以布林带上中下三轨作为辅助价格在布林带上轨K线价格形成吞没并且阴包阳成立立即做空，当价格触碰布林带中轨立即止盈，止损设置在5分钟布林带上轨最高价止损。在布林带下轨K线价格形成吞没并且形成阳包阴立即做多当价格触碰布林带中轨立即止盈，止损设置在5分钟布林带下轨最低价止损。布林带中轨位置不开仓
At the 5-minute level, use the upper, middle, and lower Bollinger Bands as auxiliary references. Immediately open a short position when price forms an engulfing pattern at the upper band with a bearish candle completely enclosing the previous bullish candle; take profit immediately when price touches the middle band, and set stop-loss at the highest price of the 5-minute upper Bollinger Band. Immediately open a long position when price forms an engulfing pattern at the lower band with a bullish candle completely enclosing the previous bearish candle; take profit immediately when price touches the middle band, and set stop-loss at the lowest price of the 5-minute lower Bollinger Band. Do not enter trades at the middle Bollinger Band level.
shmoulaliA non-repainting, multi-layered tactical strategy designed for high-probability entries by aligning multi-timeframe trend structure, price-action confluence, and market regime awareness.
🔑 Core Mechanism:
Signal Engine: Crossover of two smoothed moving averages (user-selectable: ALMA, TEMA, Hull MA, etc.) on primary or higher timeframe — with optional delay to enforce non-repainting behavior.
Confluence Filters:
✅ Supply/Demand Zones (auto-detected via swing pivots, filtered by ATR width & overlap prevention),
✅ Support/Resistance Bands (dynamic multi-level lines + zones based on pivot strength),
✅ Momentum Confirmation (RSI & Wavetrend with divergence detection),
✅ Trend Bias (EMA-based bull/bear bias across 9 timeframes).
🎯 Key Features:
Adaptive Visualization: Auto-drawn S/D boxes, BOS (Break of Structure) alerts, SR zones, and MA ribbons — all configurable.
Flexible Trade Control: Toggle long/short/BOTH, customize entry alerts (JSON-ready for bot integration).
Clean Entry Logic: Pure crossover-based triggers (buy = MA cross up, sell = MA cross down), no complex compound conditions — ideal for fast execution.
Backtest-Optimized: Includes bar-limiting logic for accurate historical testing.
🛡️ Built For:
Traders who rely on price-action confluence (S/D + SR + pivots),
Bot developers needing non-repainting, time-tested signals with rich contextual metadata,
Scalpers/swing traders on 1m–1h+ timeframes — especially effective on volatile assets (Forex, Crypto).
✅ Zero repaint • Modular MA engine • Zone-based edge • Auto-trade compatible
shmoulali v2 algo best for forexA non-repainting, multi-layered tactical strategy designed for high-probability entries by aligning multi-timeframe trend structure, price-action confluence, and market regime awareness.
🔑 Core Mechanism:
Signal Engine: Crossover of two smoothed moving averages (user-selectable: ALMA, TEMA, Hull MA, etc.) on primary or higher timeframe — with optional delay to enforce non-repainting behavior.
Confluence Filters:
✅ Supply/Demand Zones (auto-detected via swing pivots, filtered by ATR width & overlap prevention),
✅ Support/Resistance Bands (dynamic multi-level lines + zones based on pivot strength),
✅ Momentum Confirmation (RSI & Wavetrend with divergence detection),
✅ Trend Bias (EMA-based bull/bear bias across 9 timeframes).
🎯 Key Features:
Adaptive Visualization: Auto-drawn S/D boxes, BOS (Break of Structure) alerts, SR zones, and MA ribbons — all configurable.
Flexible Trade Control: Toggle long/short/BOTH, customize entry alerts (JSON-ready for bot integration).
Clean Entry Logic: Pure crossover-based triggers (buy = MA cross up, sell = MA cross down), no complex compound conditions — ideal for fast execution.
Backtest-Optimized: Includes bar-limiting logic for accurate historical testing.
🛡️ Built For:
Traders who rely on price-action confluence (S/D + SR + pivots),
Bot developers needing non-repainting, time-tested signals with rich contextual metadata,
Scalpers/swing traders on 1m–1h+ timeframes — especially effective on volatile assets (Forex, Crypto).
✅ Zero repaint • Modular MA engine • Zone-based edge • Auto-trade compatible
shmoulalishmoulali is a non-repainting, multi-timeframe trading strategy built for precision and adaptability. It intelligently combines Heikin-Ashi or Renko price action with dual EMA crossovers, enhanced by dynamic market regime filtering (using ATR and RSI) to avoid sideways traps.
🔑 Key Features:
Two Entry Modes:
Open/Close Mode: Heikin-Ashi-based signal (crossover of HA close > HA open).
Renko Mode: EMA(2) × EMA(10) crossover on Renko candles (ATR-based by default).
Smart Filtering:
Optional filtering to trade only in trending conditions (ATR ↑ or RSI > 45 / < 10), or only in sideways markets — fully customizable.
Three Exit Types:
✅ ATR-based TP/SL: 3-tier take-profit levels (TP1/TP2/TP3) + dynamic stop-loss, all scaled by ATR.
🔄 Trailing Stop: For trend-following setups.
⚙️ Manual Options: Customizable % or fixed-pip targets via inputs.
Auto-Trade Ready:
Full alert integration with JSON-ready messages — optimized for bots (e.g., your Shmoul Ali extension on Quotex/Binance).
Supports long/short entries, partial exits, and position closing.
Performance Dashboard:
Real-time stats: Win rate, profit factor, max drawdown, avg win/loss, monthly/weekly performance tables — visible directly on chart.
🛡️ Designed For:
Traders seeking low-noise, high-conviction setups.
Bot developers needing clean, non-repainting signals with structured alerts.
Backtesting enthusiasts — fully compatible with TradingView’s Strategy Tester.
✅ No repaint • Multi-timeframe • Modular • Auto-trade optimized
My strategy - MAMA Crossoverraders use such non-standard resolutions to smooth noise while keeping signals more responsive than 4-hour or daily charts. Since higher-timeframe data is more reliable, it helps reduce false crossovers. The main chart executes trades, but the logic is based on 165-minute trend behavior.
KDJ (MTF)The shift to remote and hybrid work is not just a temporary fad but a permanent improvement to how we live. It offers a necessary balance between work and personal life and provides significant financial savings for everyone. While being lonely is a risk, a balanced schedule fixes this issue.
SOP Strategy: 10H Cooldown + Vol ProfileThis strategy primarily targets price reversion to the baseline. To avoid overtrading in volatile markets, the plan includes a 10-hour cooldown mechanism. Additionally, a Vol Profile indicator has been added to the code to help assess market momentum.
ShadoWS (LONG TERM CRYPTO BOT)(ANY CRYPTO)(30 min timeframe)This strategy works with any crypto asset. You can use any timeframe. since the strategy is rigidly tied to a 30-minute timeframe.
The strategy only works in long positions
recomend settings:
30 minutes timeframe. In the settings.
The margin for long and short positions should be set to 0. In the settings.
Saif Crypto strategy (upto 5K% in 6 years)Hey Traders,
I have tested this strategy for past 6 years on few crypto currencies specifically on BTC. I have tremendous results.
I thought to help traders who are in loss and can recover. But yes for sake of my financial at first it will be free for few days for your test/trial and then if you want complete code and permanently then will charge few dollars to motivate myself to work on other strategies as well.
Thanks.
15m & 1h Breakout — NY Prev Window Define a session anchored at 09:15 New York time, adjusted safely around weekends.
For each new session, store the high and low of the previous session’s 09:15→09:15 window.
During a configurable entry window (default: 09:30–11:15 NY time), watch for close-based breakouts:
Long when price closes above the previous window high + buffer.
Short when price closes below the previous window low − buffer.
Take exactly one trade per session, with fixed TP/SL in pips, and optional:
EMA trend filters for longs and shorts.
Range (volatility) filter on the previous window.
Option to skip Thursdays.
The strategy is designed mainly for intraday timeframes (e.g. 15m / 1h), but the logic is timeframe-agnostic.
SOP Strategy: 10H Cooldown + MACDThis strategy primarily targets price reversion to the baseline. To avoid overtrading in volatile markets, a 10-hour cooldown mechanism is built into the strategy. Additionally, a MACD indicator has been added to the code to help assess market momentum...
yangwen1.0This script is an initial concept of mine. I attempted to use the 5-minute chart as ticks for catching bottoms and picking tops, but it's unable to avoid whipsaws. I've tested many methods to evade whipsaws, but they ultimately result in poor entry points, causing me to miss the bottoms and tops of price swings. I sincerely hope someone with better approaches can discuss this with me. Thank you.
ai cruhsera pullback strategy to donchain lower and upperbands.. best for cypro lower timeframe scalping..
Crypto Edition 0.2This strategy is built on a trend-following approach, designed to capture sustained market momentum rather than predict reversals.its a pullback strategy. The goal is to stay aligned with the prevailing trend, ride strong moves, avoid ranging-market noiseE
Alt Trading: FuturesOne
The FuturesOne Indicator + Strategy will be continuously enhanced to ensure our users receive the most effective and profit-focused trading system at the best possible value. Version 0 (V0) of the FuturesOne Strategy is built on a refined Opening Range Breakout (ORB) framework, augmented with a quantitative regime-detection and filtering layer. This design allows users to tailor their approach: they may opt for consistent daily ORB opportunities or select a mode that applies quantitative filters to surface fewer, but higher-probability, trade setups.
