diff --git a/Algorithm/QCAlgorithm.Indicators.cs b/Algorithm/QCAlgorithm.Indicators.cs
index e51f0c0961b0..6564fef8ecce 100644
--- a/Algorithm/QCAlgorithm.Indicators.cs
+++ b/Algorithm/QCAlgorithm.Indicators.cs
@@ -1205,6 +1205,26 @@ public ImpliedVolatility IV(Symbol symbol, Symbol mirrorOption = null, decimal?
             return iv;
         }
 
+        /// <summary>
+        /// Creates a new JurikMovingAverage indicator.
+        /// </summary>
+        /// <param name="symbol">The symbol whose JMA we want</param>
+        /// <param name="period">The period of the JMA</param>
+        /// <param name="phase">The phase parameter (-100 to 100), controls the tradeoff between lag and overshoot</param>
+        /// <param name="resolution">The resolution</param>
+        /// <param name="selector">Selects a value from the BaseData to send into the indicator, if null defaults to the Value property of BaseData (x => x.Value)</param>
+        /// <returns>The JurikMovingAverage indicator for the requested symbol over the specified period</returns>
+        [DocumentationAttribute(Indicators)]
+        public JurikMovingAverage JMA(Symbol symbol, int period, decimal phase = 0,
+            Resolution? resolution = null, Func<IBaseData, decimal> selector = null)
+        {
+            var name = CreateIndicatorName(symbol, $"JMA({period},{phase})", resolution);
+            var jurikMovingAverage = new JurikMovingAverage(name, period, phase);
+            InitializeIndicator(jurikMovingAverage, resolution, selector, symbol);
+
+            return jurikMovingAverage;
+        }
+
         /// <summary>
         /// Creates a new KaufmanAdaptiveMovingAverage indicator.
         /// </summary>
diff --git a/Indicators/JurikMovingAverage.cs b/Indicators/JurikMovingAverage.cs
new file mode 100644
index 000000000000..968aa8edfa21
--- /dev/null
+++ b/Indicators/JurikMovingAverage.cs
@@ -0,0 +1,228 @@
+/*
+ * QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals.
+ * Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+*/
+
+using System;
+
+namespace QuantConnect.Indicators
+{
+    /// <summary>
+    /// Represents the Jurik Moving Average (JMA) indicator.
+    /// JMA is a volatility-adaptive filter that produces smoother output with less lag
+    /// than the traditional EMA. It uses volatility bands to dynamically adjust its
+    /// smoothing factor, combined with a three-stage adaptive pipeline: adaptive EMA,
+    /// Kalman-style velocity estimation, and Jurik error correction.
+    /// The period parameter controls both the base smoothing constants and the volatility
+    /// band adaptation rate. Higher periods produce smoother, more lagged output.
+    /// Note: The original JMA algorithm is proprietary (Jurik Research). This implementation
+    /// follows the community-standard reverse-engineered formula used by pandas_ta,
+    /// TradingView, and other open-source libraries.
+    /// </summary>
+    public class JurikMovingAverage : Indicator, IIndicatorWarmUpPeriodProvider
+    {
+        private readonly int _period;
+        private readonly decimal _phaseRatio;
+        private readonly decimal _beta;
+
+        // Volatility band constants derived from period
+        private readonly double _length1;
+        private readonly double _pow1;
+        private readonly double _bet;
+
+        // Volatility tracking
+        private const int VolatilitySumLength = 10;
+        private const int VolatilityAvgLength = 65;
+        private readonly RollingWindow<decimal> _voltyWindow;
+        private readonly RollingWindow<decimal> _vSumWindow;
+        private decimal _vSum;
+
+        // Adaptive band state
+        private decimal _upperBand;
+        private decimal _lowerBand;
+
+        // Three-stage filter state
+        private decimal _ma1;
+        private decimal _det0;
+        private decimal _det1;
+        private decimal _jma;
+
+        /// <summary>
+        /// Gets a flag indicating when this indicator is ready and fully initialized
+        /// </summary>
+        public override bool IsReady => Samples >= _period;
+
+        /// <summary>
+        /// Required period, in data points, for the indicator to be ready and fully initialized.
+        /// </summary>
+        public int WarmUpPeriod => _period;
+
+        /// <summary>
+        /// Initializes a new instance of the <see cref="JurikMovingAverage"/> class using the specified name and period.
+        /// </summary>
+        /// <param name="name">The name of this indicator</param>
+        /// <param name="period">The period of the JMA, controls the smoothing window and volatility adaptation</param>
+        /// <param name="phase">The phase parameter (-100 to 100), controls the tradeoff between lag and overshoot</param>
+        public JurikMovingAverage(string name, int period, decimal phase = 0)
+            : base(name)
+        {
+            if (period < 2)
+            {
+                throw new ArgumentOutOfRangeException(nameof(period),
+                    "JMA period must be greater than or equal to 2.");
+            }
+
+            _period = period;
+
+            // Compute phase ratio: clamp phase to [-100, 100] range
+            if (phase < -100m)
+            {
+                _phaseRatio = 0.5m;
+            }
+            else if (phase > 100m)
+            {
+                _phaseRatio = 2.5m;
+            }
+            else
+            {
+                _phaseRatio = phase / 100m + 1.5m;
+            }
+
+            // Base smoothing constant from period
+            _beta = 0.45m * (_period - 1) / (0.45m * (_period - 1) + 2m);
+
+            // Volatility band constants derived from period
+            var length = 0.5 * (_period - 1);
+            _length1 = Math.Max(Math.Log(Math.Sqrt(length)) / Math.Log(2.0) + 2.0, 0);
+            _pow1 = Math.Max(_length1 - 2.0, 0.5);
+            var length2 = _length1 * Math.Sqrt(length);
+            _bet = length2 / (length2 + 1);
+
+            // Rolling windows for volatility tracking
+            _voltyWindow = new RollingWindow<decimal>(VolatilitySumLength + 1);
+            _vSumWindow = new RollingWindow<decimal>(VolatilityAvgLength);
+        }
+
+        /// <summary>
+        /// Initializes a new instance of the <see cref="JurikMovingAverage"/> class using the specified period.
+        /// </summary>
+        /// <param name="period">The period of the JMA, controls the smoothing window and volatility adaptation</param>
+        /// <param name="phase">The phase parameter (-100 to 100), controls the tradeoff between lag and overshoot</param>
+        public JurikMovingAverage(int period, decimal phase = 0)
+            : this($"JMA({period},{phase})", period, phase)
+        {
+        }
+
+        /// <summary>
+        /// Computes the next value of this indicator from the given state
+        /// </summary>
+        /// <param name="input">The input given to the indicator</param>
+        /// <returns>A new value for this indicator</returns>
+        protected override decimal ComputeNextValue(IndicatorDataPoint input)
+        {
+            var price = input.Value;
+
+            if (Samples == 1)
+            {
+                // Seed all state from first price
+                _ma1 = price;
+                _upperBand = price;
+                _lowerBand = price;
+                _jma = price;
+                _det0 = 0;
+                _det1 = 0;
+                _vSum = 0;
+                _voltyWindow.Add(0);
+                _vSumWindow.Add(0);
+                return 0m;
+            }
+
+            // Compute volatility relative to adaptive bands
+            var del1 = price - _upperBand;
+            var del2 = price - _lowerBand;
+            var volty = Math.Abs(del1) != Math.Abs(del2)
+                ? Math.Max(Math.Abs(del1), Math.Abs(del2))
+                : 0m;
+
+            // Update rolling volatility sum (running average over VolatilitySumLength bars)
+            _voltyWindow.Add(volty);
+            var oldest = _voltyWindow.Count > VolatilitySumLength
+                ? _voltyWindow[VolatilitySumLength]
+                : _voltyWindow[_voltyWindow.Count - 1];
+            _vSum = _vSum + (volty - oldest) / VolatilitySumLength;
+            _vSumWindow.Add(_vSum);
+
+            // Average volatility: mean of v_sum values over available history (up to 65 bars)
+            decimal avgVolty = 0;
+            var count = _vSumWindow.Count;
+            if (count > 0)
+            {
+                decimal sum = 0;
+                for (var i = 0; i < count; i++)
+                {
+                    sum += _vSumWindow[i];
+                }
+                avgVolty = sum / count;
+            }
+
+            // Relative volatility factor, clamped to [1, length1^(1/pow1)]
+            var dVolty = avgVolty == 0 ? 0m : volty / avgVolty;
+            var maxRVolty = (decimal)Math.Pow(_length1, 1.0 / _pow1);
+            var rVolty = Math.Max(1.0m, Math.Min(maxRVolty, dVolty));
+
+            // Update Jurik volatility bands using adaptive coefficient
+            var pow2 = Math.Pow((double)rVolty, _pow1);
+            var kv = (decimal)Math.Pow(_bet, Math.Sqrt(pow2));
+            _upperBand = del1 > 0 ? price : price - kv * del1;
+            _lowerBand = del2 < 0 ? price : price - kv * del2;
+
+            // Adaptive alpha: beta^(rVolty^pow1) — varies with market volatility
+            var alpha = (decimal)Math.Pow((double)_beta, pow2);
+
+            // Stage 1: Adaptive EMA
+            _ma1 = (1 - alpha) * price + alpha * _ma1;
+
+            // Stage 2: Kalman-style velocity estimation
+            _det0 = (price - _ma1) * (1 - _beta) + _beta * _det0;
+            var ma2 = _ma1 + _phaseRatio * _det0;
+
+            // Stage 3: Jurik adaptive error correction
+            _det1 = (ma2 - _jma) * (1 - alpha) * (1 - alpha) + alpha * alpha * _det1;
+            _jma = _jma + _det1;
+
+            if (!IsReady)
+            {
+                return 0m;
+            }
+
+            return _jma;
+        }
+
+        /// <summary>
+        /// Resets this indicator to its initial state
+        /// </summary>
+        public override void Reset()
+        {
+            _ma1 = 0;
+            _det0 = 0;
+            _det1 = 0;
+            _jma = 0;
+            _upperBand = 0;
+            _lowerBand = 0;
+            _vSum = 0;
+            _voltyWindow.Reset();
+            _vSumWindow.Reset();
+            base.Reset();
+        }
+    }
+}
diff --git a/Tests/Indicators/JurikMovingAverageTests.cs b/Tests/Indicators/JurikMovingAverageTests.cs
new file mode 100644
index 000000000000..7b2c37e5e53f
--- /dev/null
+++ b/Tests/Indicators/JurikMovingAverageTests.cs
@@ -0,0 +1,124 @@
+/*
+ * QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals.
+ * Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+*/
+
+using System;
+using NUnit.Framework;
+using QuantConnect.Indicators;
+
+namespace QuantConnect.Tests.Indicators
+{
+    [TestFixture]
+    public class JurikMovingAverageTests : CommonIndicatorTests<IndicatorDataPoint>
+    {
+        protected override IndicatorBase<IndicatorDataPoint> CreateIndicator()
+        {
+            return new JurikMovingAverage(7);
+        }
+
+        protected override string TestFileName => "spy_jma.txt";
+
+        protected override string TestColumnName => "JMA_7";
+
+        [Test]
+        public void JmaComputesCorrectly()
+        {
+            // Values verified against pandas_ta_classic reference implementation:
+            //   from pandas_ta_classic.overlap.jma import jma
+            //   jma(pd.Series([10,11,12,11,10,11,12,13,12,11]), length=7, phase=0)
+            var jma = new JurikMovingAverage(7, 0);
+            var time = new DateTime(2024, 1, 1);
+            var prices = new decimal[] { 10, 11, 12, 11, 10, 11, 12, 13, 12, 11 };
+
+            // Feed first 6 bars: not ready (returns 0)
+            for (var i = 0; i < 6; i++)
+            {
+                jma.Update(time.AddDays(i), prices[i]);
+                Assert.IsFalse(jma.IsReady);
+                Assert.AreEqual(0m, jma.Current.Value);
+            }
+
+            // Bar 7 (first ready bar)
+            jma.Update(time.AddDays(6), prices[6]);
+            Assert.IsTrue(jma.IsReady);
+            Assert.AreEqual(11.504809085586068, (double)jma.Current.Value, 1e-6,
+                "JMA at bar 7 should match pandas_ta reference");
+
+            // Bar 8
+            jma.Update(time.AddDays(7), prices[7]);
+            Assert.AreEqual(12.474846874222544, (double)jma.Current.Value, 1e-6,
+                "JMA at bar 8 should match pandas_ta reference");
+
+            // Bar 9
+            jma.Update(time.AddDays(8), prices[8]);
+            Assert.AreEqual(12.515689573056372, (double)jma.Current.Value, 1e-6,
+                "JMA at bar 9 should match pandas_ta reference");
+
+            // Bar 10
+            jma.Update(time.AddDays(9), prices[9]);
+            Assert.AreEqual(11.711050292217287, (double)jma.Current.Value, 1e-6,
+                "JMA at bar 10 should match pandas_ta reference");
+        }
+
+        [Test]
+        public void PeriodAffectsOutput()
+        {
+            // Verify that different period values produce different outputs,
+            // confirming the period parameter controls smoothing behavior
+            var jma7 = new JurikMovingAverage(7);
+            var jma14 = new JurikMovingAverage(14);
+            var time = new DateTime(2024, 1, 1);
+
+            // Feed enough data for both to be ready
+            var prices = new decimal[] { 10, 11, 12, 11, 10, 11, 12, 13, 12, 11, 12, 13, 14, 13, 12 };
+            for (var i = 0; i < prices.Length; i++)
+            {
+                jma7.Update(time.AddDays(i), prices[i]);
+                jma14.Update(time.AddDays(i), prices[i]);
+            }
+
+            Assert.IsTrue(jma7.IsReady);
+            Assert.IsTrue(jma14.IsReady);
+            Assert.AreNotEqual(jma7.Current.Value, jma14.Current.Value,
+                "JMA(7) and JMA(14) should produce different values for the same input");
+        }
+
+        [Test]
+        public void PhaseAffectsOutput()
+        {
+            var jmaLag = new JurikMovingAverage(7, -100);
+            var jmaLead = new JurikMovingAverage(7, 100);
+            var time = new DateTime(2024, 1, 1);
+
+            var prices = new decimal[] { 10, 11, 12, 11, 10, 11, 12, 13, 12, 11 };
+            for (var i = 0; i < prices.Length; i++)
+            {
+                jmaLag.Update(time.AddDays(i), prices[i]);
+                jmaLead.Update(time.AddDays(i), prices[i]);
+            }
+
+            Assert.IsTrue(jmaLag.IsReady);
+            Assert.IsTrue(jmaLead.IsReady);
+            Assert.AreNotEqual(jmaLag.Current.Value, jmaLead.Current.Value,
+                "JMA with phase=-100 and phase=100 should produce different values");
+        }
+
+        [Test]
+        public void PeriodTooSmallThrows()
+        {
+            Assert.Throws<ArgumentOutOfRangeException>(() => new JurikMovingAverage(1));
+            Assert.Throws<ArgumentOutOfRangeException>(() => new JurikMovingAverage(0));
+        }
+    }
+}
diff --git a/Tests/TestData/spy_jma.txt b/Tests/TestData/spy_jma.txt
new file mode 100644
index 000000000000..4f633d49c26f
--- /dev/null
+++ b/Tests/TestData/spy_jma.txt
@@ -0,0 +1,501 @@
+Date,Open,High,Low,Close,Volume,JMA_7
+2/22/2013 12:00:00 AM,151.16,151.89,150.49,151.89,106292600,
+2/25/2013 12:00:00 AM,152.63,152.86,149,149,245483200,
+2/26/2013 12:00:00 AM,149.72,150.2,148.73,150.02,186331600,
+2/27/2013 12:00:00 AM,149.89,152.33,149.76,151.91,143932600,
+2/28/2013 12:00:00 AM,151.9,152.87,151.41,151.61,123724200,
+3/1/2013 12:00:00 AM,151.09,152.34,150.41,152.11,170612700,
+3/4/2013 12:00:00 AM,151.76,152.92,151.52,152.92,97328800,152.466951821586
+3/5/2013 12:00:00 AM,153.66,154.7,153.64,154.29,121238200,153.603012776242
+3/6/2013 12:00:00 AM,154.84,154.92,154.16,154.5,94284300,154.288366544423
+3/7/2013 12:00:00 AM,154.71,154.98,154.52,154.78,86002000,154.643179916927
+3/8/2013 12:00:00 AM,155.46,155.65,154.66,155.44,122805700,155.080052408648
+3/11/2013 12:00:00 AM,155.33,156.04,155.13,156.03,83235500,155.581145894216
+3/12/2013 12:00:00 AM,155.92,156.1,155.21,155.68,104108300,155.781613605679
+3/13/2013 12:00:00 AM,155.76,156.12,155.23,155.9,91051500,155.877060494037
+3/14/2013 12:00:00 AM,156.31,156.8,156.22,156.73,123614200,156.149543315601
+3/15/2013 12:00:00 AM,155.85,156.04,155.31,155.83,133153200,156.236277514093
+3/18/2013 12:00:00 AM,154.34,155.64,154.2,154.97,126518300,155.998934047869
+3/19/2013 12:00:00 AM,155.3,155.51,153.59,154.61,167049900,155.582607222696
+3/20/2013 12:00:00 AM,155.52,155.95,155.26,155.69,113607800,155.389131624865
+3/21/2013 12:00:00 AM,154.75,155.64,154.1,154.36,128492900,155.137469466612
+3/22/2013 12:00:00 AM,154.84,155.6,154.73,155.6,111103200,155.072816359778
+3/25/2013 12:00:00 AM,155.99,156.27,154.35,154.95,151231800,155.043838783465
+3/26/2013 12:00:00 AM,155.59,156.23,155.42,156.19,86114000,155.237198003992
+3/27/2013 12:00:00 AM,155.26,156.24,155,156.19,99783700,155.487163158578
+3/28/2013 12:00:00 AM,156.09,156.85,155.75,156.67,102687700,155.834181404954
+4/1/2013 12:00:00 AM,156.59,156.91,155.67,156.05,99128500,156.048142132875
+4/2/2013 12:00:00 AM,156.61,157.21,156.37,156.82,101291000,156.257125071554
+4/3/2013 12:00:00 AM,156.91,157.03,154.82,155.23,153781800,156.179791238466
+4/4/2013 12:00:00 AM,155.43,156.17,155.09,155.86,129370000,156.076834255845
+4/5/2013 12:00:00 AM,153.95,155.35,153.77,155.16,155171000,155.891954415253
+4/8/2013 12:00:00 AM,155.27,156.22,154.75,156.21,86039700,155.831006467409
+4/9/2013 12:00:00 AM,156.5,157.32,155.98,156.75,100591500,155.968133849114
+4/10/2013 12:00:00 AM,157.17,158.87,157.13,158.67,134837300,157.155929734257
+4/11/2013 12:00:00 AM,158.7,159.71,158.54,159.19,109635100,158.260137739253
+4/12/2013 12:00:00 AM,158.68,159.04,157.92,158.8,116024900,158.766860672783
+4/15/2013 12:00:00 AM,158,158.13,155.1,155.12,215505700,157.143789091940
+4/16/2013 12:00:00 AM,156.29,157.49,155.91,157.41,147152400,156.797802733594
+4/17/2013 12:00:00 AM,156.29,156.32,154.28,155.11,226231500,156.204977085984
+4/18/2013 12:00:00 AM,155.37,155.41,153.55,154.14,166888900,155.247908763664
+4/19/2013 12:00:00 AM,154.5,155.55,154.12,155.48,149219300,154.888760312858
+4/22/2013 12:00:00 AM,155.78,156.54,154.75,156.17,106216500,155.042508995913
+4/23/2013 12:00:00 AM,156.95,157.93,156.17,157.78,165592000,156.122764549245
+4/24/2013 12:00:00 AM,157.83,158.3,157.54,157.88,94996400,156.976311388014
+4/25/2013 12:00:00 AM,158.25,159.27,158.1,158.52,130774400,157.715695950949
+4/26/2013 12:00:00 AM,158.32,158.6,157.73,158.24,95639000,158.116731132488
+4/29/2013 12:00:00 AM,158.67,159.65,158.42,159.3,88223400,158.583850062660
+4/30/2013 12:00:00 AM,159.27,159.72,158.61,159.68,115647600,159.053891728806
+5/1/2013 12:00:00 AM,159.33,159.41,158.1,158.28,138538400,159.167683467568
+5/2/2013 12:00:00 AM,158.68,159.89,158.53,159.75,96232300,159.287224564746
+5/3/2013 12:00:00 AM,161.14,161.88,161.04,161.37,143795900,160.038575587342
+5/6/2013 12:00:00 AM,161.49,162.01,161.42,161.78,66618900,160.831603259819
+5/7/2013 12:00:00 AM,162.11,162.65,161.67,162.6,89907000,161.675447921067
+5/8/2013 12:00:00 AM,162.42,163.39,162.33,163.34,96840500,162.507029909814
+5/9/2013 12:00:00 AM,163.27,163.7,162.47,162.88,106479000,162.916143569527
+5/10/2013 12:00:00 AM,163,163.55,162.51,163.41,102968200,163.179381067617
+5/13/2013 12:00:00 AM,163,163.81,162.82,163.54,79718500,163.367270831364
+5/14/2013 12:00:00 AM,163.67,165.35,163.67,165.23,118429300,164.053790966950
+5/15/2013 12:00:00 AM,164.98,166.45,164.91,166.12,120520600,165.005819852980
+5/16/2013 12:00:00 AM,165.76,166.36,165.09,165.34,109631200,165.462577165767
+5/17/2013 12:00:00 AM,165.98,167.04,165.73,166.94,129521200,166.052546828097
+5/20/2013 12:00:00 AM,166.78,167.58,166.61,166.93,84703300,166.493048937132
+5/21/2013 12:00:00 AM,167.07,167.8,166.5,167.17,95130500,166.821181084853
+5/22/2013 12:00:00 AM,167.34,169.07,165.17,165.93,243215800,166.856205118057
+5/23/2013 12:00:00 AM,164.2,165.91,163.94,165.45,210629800,166.645115740670
+5/24/2013 12:00:00 AM,164.44,165.38,163.98,165.31,151265100,166.317948516902
+5/28/2013 12:00:00 AM,167.04,167.78,165.81,166.3,142755000,166.132467677538
+5/29/2013 12:00:00 AM,165.41,165.8,164.34,165.22,160155000,165.925700002790
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