{"id":26244,"date":"2026-01-27T19:31:14","date_gmt":"2026-01-27T14:01:14","guid":{"rendered":"https:\/\/signalz.pro\/?post_type=article&p=26244"},"modified":"2026-01-30T16:46:12","modified_gmt":"2026-01-30T11:16:12","slug":"%f0%9f%93%8a-ttm-squeeze-advance-volatility-compression-momentum-bias-indicator","status":"publish","type":"article","link":"https:\/\/signalz.pro\/article\/%f0%9f%93%8a-ttm-squeeze-advance-volatility-compression-momentum-bias-indicator\/","title":{"rendered":"\ud83d\udcca TTM Squeeze Advance \u2013 Volatility Compression + Momentum Bias Indicator"},"content":{"rendered":"

\"\"
\n<\/strong><\/p>\n

By Sharma Research<\/strong>
Concept inspired by John Carter (TTM Squeeze)<\/strong><\/p>\n

TTM Squeeze Advance is an advanced volatility\u2013momentum indicator designed to identify one of the most important structural market phases:<\/p>\n

\n

Periods of low volatility that often precede expansion.<\/strong><\/p>\n<\/blockquote>\n

Markets do not move randomly.
They alternate between:<\/p>\n

    \n
  • \n

    Compression (quiet accumulation)<\/p>\n<\/li>\n

  • \n

    Expansion (directional breakout)<\/p>\n<\/li>\n

  • \n

    Exhaustion (cooling off)<\/p>\n<\/li>\n<\/ul>\n

    The TTM Squeeze framework is built to detect the first phase\u2014when price becomes unusually \u201ctight\u201d\u2014and prepare traders to observe what may come next.<\/p>\n

    \n

    \ud83d\udd0d Why Volatility Compression Matters<\/h2>\n

    Most traders focus on movement.<\/p>\n

    But professional market behavior often begins with stillness<\/strong>.<\/p>\n

    Before strong directional moves, markets frequently enter zones where:<\/p>\n

      \n
    • \n

      volatility contracts<\/p>\n<\/li>\n

    • \n

      ranges tighten<\/p>\n<\/li>\n

    • \n

      price becomes \u201ccoiled\u201d<\/p>\n<\/li>\n<\/ul>\n

      This is not a signal by itself.
      It is a condition<\/strong>.<\/p>\n

      TTM Squeeze is essentially a tool that asks:<\/p>\n

      \n

      \u201cIs the market currently in a compressed state where expansion becomes statistically more likely?\u201d<\/p>\n

      \"\"<\/p>\n<\/blockquote>\n

      \n

      \u2699\ufe0f Core Logic: Bollinger Bands vs Keltner Channels<\/h2>\n

      \"\"<\/p>\n

      TTM Squeeze is based on the interaction between two volatility envelopes:<\/p>\n

      1\ufe0f\u20e3 Bollinger Bands (Standard Deviation Expansion)<\/h3>\n

      Bollinger Bands widen when volatility rises and contract when volatility falls.<\/p>\n

      They represent statistical volatility<\/em>.<\/p>\n

      \n

      2\ufe0f\u20e3 Keltner Channels (ATR-Based Volatility Range)<\/h3>\n

      Keltner Channels are built using True Range smoothing.<\/p>\n

      They represent range volatility<\/em>.<\/p>\n

      \n

      The Squeeze Condition<\/h3>\n

      A squeeze occurs when Bollinger Bands contract inside the Keltner Channel.<\/p>\n

      That indicates:<\/p>\n

        \n
      • \n

        volatility is unusually low<\/p>\n<\/li>\n

      • \n

        price movement is being compressed<\/p>\n<\/li>\n

      • \n

        the market is \u201cloading energy\u201d<\/p>\n<\/li>\n<\/ul>\n

        TTM Squeeze Advance plots multiple compression levels:<\/p>\n

          \n
        • \n

          \ud83d\udfe0 High Compression<\/p>\n<\/li>\n

        • \n

          \ud83d\udd34 Medium Compression<\/p>\n<\/li>\n

        • \n

          \u26aa Low Compression<\/p>\n<\/li>\n

        • \n

          \ud83d\udfe2 No Squeeze (Expansion Zone)<\/p>\n<\/li>\n<\/ul>\n

          \n

          \ud83d\udfe2 Understanding the Dot States<\/h2>\n

          This indicator visualizes volatility regimes using squeeze dots:<\/p>\n

            \n
          • \n

            Orange Dot<\/strong> \u2192 Very tight compression<\/p>\n<\/li>\n

          • \n

            Red Dot<\/strong> \u2192 Moderate compression<\/p>\n<\/li>\n

          • \n

            White Dot<\/strong> \u2192 Mild compression<\/p>\n<\/li>\n

          • \n

            Green Dot<\/strong> \u2192 No squeeze (volatility released)<\/p>\n<\/li>\n<\/ul>\n

            A key interpretation:<\/p>\n

            \n

            Compression is preparation.
            Green dots represent the environment where movement is already expanding.<\/p>\n<\/blockquote>\n

            \n

            \ud83e\udde0 Directional Bias: Momentum Oscillator Layer<\/h2>\n

            TTM Squeeze by itself only tells you:<\/p>\n

              \n
            • \n

              volatility is compressed<\/p>\n<\/li>\n<\/ul>\n

              It does not tell you:<\/p>\n

                \n
              • \n

                which direction the breakout may favor<\/p>\n<\/li>\n<\/ul>\n

                That is why TTM Squeeze Advance includes a custom momentum oscillator<\/strong>, built using linear regression of price deviation from its midpoint.<\/p>\n

                This oscillator provides directional context:<\/p>\n

                  \n
                • \n

                  Momentum above zero \u2192 bullish pressure<\/p>\n<\/li>\n

                • \n

                  Momentum below zero \u2192 bearish pressure<\/p>\n<\/li>\n

                • \n

                  Rising momentum \u2192 strengthening bias<\/p>\n<\/li>\n

                • \n

                  Falling momentum \u2192 weakening bias<\/p>\n<\/li>\n<\/ul>\n

                  \n

                  \ud83c\udfa8 Momentum-Based Candle Coloring<\/h2>\n

                  To improve visual interpretation, the script colors candles based on momentum regime:<\/p>\n

                    \n
                  • \n

                    Aqua \u2192 bullish momentum strengthening<\/p>\n<\/li>\n

                  • \n

                    Blue \u2192 bullish momentum weakening<\/p>\n<\/li>\n

                  • \n

                    Red \u2192 bearish momentum strengthening<\/p>\n<\/li>\n

                  • \n

                    Yellow \u2192 bearish momentum weakening<\/p>\n<\/li>\n<\/ul>\n

                    This helps users see momentum shifts without needing extra oscillators.<\/p>\n

                    \n

                    \u2705 Entry Filtering: \u201cOnly Enter on Green Dots\u201d<\/h2>\n

                    A major enhancement in this version is optional filtering:<\/p>\n

                    \n

                    Signals can be restricted to only occur during No Squeeze (Green Dot)<\/strong> states.<\/p>\n<\/blockquote>\n

                    This aligns with a key principle:<\/p>\n

                      \n
                    • \n

                      Compression is the setup<\/p>\n<\/li>\n

                    • \n

                      Expansion is the action<\/p>\n<\/li>\n<\/ul>\n

                      So instead of firing entries inside tight ranges, the indicator can wait until volatility has actually begun releasing.<\/p>\n

                      \n

                      \ud83d\udd01 Cross Confirmation + Regime Change Logic<\/h2>\n

                      TTM Squeeze Advance includes optional cross-confirmation logic:<\/p>\n

                        \n
                      • \n

                        Signals trigger only when conditions newly appear<\/p>\n<\/li>\n

                      • \n

                        Prevents repeated firing inside the same regime<\/p>\n<\/li>\n

                      • \n

                        Encourages cleaner \u201cstate transition\u201d interpretation<\/p>\n<\/li>\n<\/ul>\n

                        This makes the tool more suitable for structured backtesting and reduces clutter.<\/p>\n

                        \n

                        \ud83d\udd04 Inversion Option (Research Utility)<\/h2>\n

                        The indicator also supports an \u201cInverse\u201d mode, which flips directional logic.<\/p>\n

                        This is not meant as a recommendation, but as a research feature for exploring:<\/p>\n

                          \n
                        • \n

                          mean-reversion interpretations<\/p>\n<\/li>\n

                        • \n

                          alternative regime models<\/p>\n<\/li>\n

                        • \n

                          countertrend frameworks<\/p>\n<\/li>\n<\/ul>\n

                          \n

                          \ud83d\udea8 Educational Use Only<\/h2>\n

                          TTM Squeeze Advance is designed for:<\/p>\n

                            \n
                          • \n

                            volatility regime study<\/p>\n<\/li>\n

                          • \n

                            momentum behavior analysis<\/p>\n<\/li>\n

                          • \n

                            backtesting expansion conditions<\/p>\n<\/li>\n<\/ul>\n

                            It is not a buy\/sell recommendation system.<\/p>\n

                            Volatility compression increases the probability of movement, not certainty of direction.<\/p>\n

                            Proper risk management and contextual analysis remain essential.<\/p>\n

                            \n

                            \ud83d\udcda Concept Inspiration<\/h2>\n

                            The original TTM Squeeze framework is credited to:<\/p>\n

                              \n
                            • \n

                              John Carter<\/strong> (TTM Squeeze methodology)<\/p>\n<\/li>\n

                            • \n

                              Community implementations such as Beardy_Fred<\/p>\n<\/li>\n<\/ul>\n

                              TTM Squeeze Advance builds upon this classic by adding:<\/p>\n

                                \n
                              • \n

                                multi-level squeeze state dots<\/p>\n<\/li>\n

                              • \n

                                momentum-driven candle bias<\/p>\n<\/li>\n

                              • \n

                                optional expansion-only filtering<\/p>\n<\/li>\n

                              • \n

                                cross-confirmed regime transitions<\/p>\n<\/li>\n

                              • \n

                                background highlighting for clarity<\/p>\n<\/li>\n<\/ul>\n

                                \n

                                \ud83d\udc68\u200d\ud83d\udcbb Developed By<\/h2>\n

                                Sharma Research<\/strong>
                                Written in Pine Script v5 for TradingView
                                Released for educational and research purposes only<\/p>\n

                                \r\n\/\/@version=5\r\n\/\/ TTM Squeeze Advance by SharmaResearch.com\r\n\r\n\/\/ Original concept credits: Beardy_Fred, John Carter (TTM Squeeze)\r\n\r\n\/\/\r\n\/\/ How this works (quick intro):\r\n\/\/ This indicator is an advanced implementation of the classic TTM Squeeze,\r\n\/\/ combining Bollinger Bands and Keltner Channels to detect volatility compression zones.\r\n\/\/ A custom momentum oscillator is used to determine directional bias and histogram coloring.\r\n\/\/ Optional features include cross confirmation, signal inversion, and filtering entries\r\n\/\/ to only occur during \u201cNo Squeeze\u201d (green dot) states.\r\n\/\/ Visual elements include squeeze dot states, momentum-based bar coloring,\r\n\/\/ and background highlighting for confirmed directional conditions.\r\n\r\nindicator(\"TTM Squeeze Advance by SharmaResearch.com (Concept: John Carter)\", shorttitle=\"TTMS+\", overlay=true)\r\n\r\n\r\n\/\/ \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\r\n\/\/ Inputs\r\n\/\/ \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\r\nuse_TTMS               = input.bool(true, \"Use TTMS?\")\r\nredGreen_TTMS          = input.bool(true, \"Only Green & Red Candles?\")\r\ncross_TTMS             = input.bool(true, \"Cross confirmation?\")\r\ninverse_TTMS           = input.bool(false, \"Inverse?\")\r\nhighlightMovements_TTMS = input.bool(true, \"Only Enter on Green Dots?\")\r\n\r\nlength_TTMS            = input.int(20, \"TTM Squeeze Length\")\r\n\r\n\/\/ \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\r\n\/\/ Bollinger Bands\r\n\/\/ \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\r\nBB_mult_TTMS     = input.float(2.0, \"Bollinger Band STD Multiplier\")\r\nBB_basis_TTMS    = ta.sma(close, length_TTMS)\r\ndev_TTMS         = BB_mult_TTMS * ta.stdev(close, length_TTMS)\r\nBB_upper_TTMS    = BB_basis_TTMS + dev_TTMS\r\nBB_lower_TTMS    = BB_basis_TTMS - dev_TTMS\r\n\r\n\/\/ \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\r\n\/\/ Keltner Channels\r\n\/\/ \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\r\nKC_mult_high_TTMS = input.float(1.0, \"Keltner Channel #1\")\r\nKC_mult_mid_TTMS  = input.float(1.5, \"Keltner Channel #2\")\r\nKC_mult_low_TTMS  = input.float(2.0, \"Keltner Channel #3\")\r\nKC_basis_TTMS     = ta.sma(close, length_TTMS)\r\ndevKC_TTMS        = ta.sma(ta.tr, length_TTMS)\r\n\r\nKC_upper_high_TTMS = KC_basis_TTMS + devKC_TTMS * KC_mult_high_TTMS\r\nKC_lower_high_TTMS = KC_basis_TTMS - devKC_TTMS * KC_mult_high_TTMS\r\nKC_upper_mid_TTMS  = KC_basis_TTMS + devKC_TTMS * KC_mult_mid_TTMS\r\nKC_lower_mid_TTMS  = KC_basis_TTMS - devKC_TTMS * KC_mult_mid_TTMS\r\nKC_upper_low_TTMS  = KC_basis_TTMS + devKC_TTMS * KC_mult_low_TTMS\r\nKC_lower_low_TTMS  = KC_basis_TTMS - devKC_TTMS * KC_mult_low_TTMS\r\n\r\n\/\/ \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\r\n\/\/ Momentum Oscillator\r\n\/\/ \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\r\nmid = math.avg(math.avg(ta.highest(high, length_TTMS), ta.lowest(low, length_TTMS)), ta.sma(close, length_TTMS))\r\nmom_TTMS = ta.linreg(close - mid, length_TTMS, 0)\r\n\r\nmomentumUp   = mom_TTMS > nz(mom_TTMS[1])\r\nmomentumDown = mom_TTMS < nz(mom_TTMS[1])\r\n\r\nbarColorUp   = color.new(color.aqua, 0)\r\nbarColorDown = color.new(#2962ff, 0)\r\nbarColorNegUp   = color.new(color.red, 0)\r\nbarColorNegDown = color.new(color.yellow, 0)\r\n\r\nmomColor = mom_TTMS > 0 ? (momentumUp ? barColorUp : barColorDown) : (momentumDown ? barColorNegUp : barColorNegDown)\r\nbarcolor(momColor)\r\n\r\n\/\/ \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\r\n\/\/ Squeeze Conditions\r\n\/\/ \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\r\nNoSqz_TTMS   = BB_lower_TTMS < KC_lower_low_TTMS or BB_upper_TTMS > KC_upper_low_TTMS\r\nLowSqz_TTMS  = BB_lower_TTMS >= KC_lower_low_TTMS or BB_upper_TTMS <= KC_upper_low_TTMS\r\nMidSqz_TTMS  = BB_lower_TTMS >= KC_lower_mid_TTMS or BB_upper_TTMS <= KC_upper_mid_TTMS\r\nHighSqz_TTMS = BB_lower_TTMS >= KC_lower_high_TTMS or BB_upper_TTMS <= KC_upper_high_TTMS\r\n\r\nplotchar(NoSqz_TTMS,   char='\u25cf', color=color.green,  title=\"No Squeeze (Green)\")\r\nplotchar(LowSqz_TTMS,  char='\u25cf', color=color.white,  title=\"Low Compression (White)\")\r\nplotchar(MidSqz_TTMS,  char='\u25cf', color=color.red,    title=\"Mid Compression (Red)\")\r\nplotchar(HighSqz_TTMS, char='\u25cf', color=color.orange, title=\"High Compression (Orange)\")\r\n\r\n\/\/ \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\r\n\/\/ Signal Logic\r\n\/\/ \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\r\nTTMS_Signals_TTMS = mom_TTMS > 0 ? (momentumUp ? 1 : 2) : (momentumDown ? -1 : -2)\r\n\r\nbasicLongCondition  = redGreen_TTMS ? TTMS_Signals_TTMS == 1  : TTMS_Signals_TTMS > 0\r\nbasicShortCondition = redGreen_TTMS ? TTMS_Signals_TTMS == -1 : TTMS_Signals_TTMS < 0\r\n\r\nentryLong  = highlightMovements_TTMS ? NoSqz_TTMS and basicLongCondition  : basicLongCondition\r\nentryShort = highlightMovements_TTMS ? NoSqz_TTMS and basicShortCondition : basicShortCondition\r\n\r\nentryLongFinal  = cross_TTMS ? not entryLong[1] and entryLong   : entryLong\r\nentryShortFinal = cross_TTMS ? not entryShort[1] and entryShort : entryShort\r\n\r\nTTMS_SignalsLongFinal  = use_TTMS ? (inverse_TTMS ? entryShortFinal : entryLongFinal)   : true\r\nTTMS_SignalsShortFinal = use_TTMS ? (inverse_TTMS ? entryLongFinal  : entryShortFinal)  : true\r\n\r\n\/\/ \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\r\n\/\/ Signal Plots + Background\r\n\/\/ \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\r\nplot(TTMS_SignalsLongFinal  ? 1 : 0, title='TTMS Long Signal',  display=display.data_window)\r\nplot(TTMS_SignalsShortFinal ? -1 : 0, title='TTMS Short Signal', display=display.data_window)\r\n\r\nbgcolor(TTMS_SignalsLongFinal  ? color.rgb(0, 230, 119, 75) : na)\r\nbgcolor(TTMS_SignalsShortFinal ? color.rgb(255, 0, 89, 75) : na)\r\n\r\n<\/code><\/pre>\n
                                \ud83d\udcc4 Important Disclosures<\/h2>\n
                                \ud83d\udce2 Disclaimer:<\/strong> This indicator and article are for informational and educational purposes only. Nothing herein constitutes a buy or sell recommendation. I may or may not be holding a position in the securities discussed.<\/p>\n
                                \ud83e\uddd1\u200d\ud83d\udcbc Rajneesh Sharma<\/strong> is a SEBI-registered Research Analyst
                                Reg. No.: INH000020332<\/strong><\/p>\n
                                \ud83d\udcc4 Investments are subject to market risks. Read all related documents carefully before investing.
                                \ud83d\udce9 Investor Charter & SCORES grievance redressal information is available on our blog.<\/p>\n
                                \n
                                Closing Thought<\/h3>\n
                                Markets don\u2019t break out because of indicators.
                                They break out because volatility cycles.<\/p>\n
                                TTM Squeeze Advance is simply a lens to observe when the market is silent\u2026
                                and when it may be preparing to speak.<\/p>\n","protected":false},"template":"","article-category":[898],"article-tags":[613,899,900],"class_list":["post-26244","article","type-article","status-publish","hentry","article-category-indicators","article-tags-educational","article-tags-indicator","article-tags-technical-analysis"],"acf":[],"_links":{"self":[{"href":"https:\/\/signalz.pro\/api\/wp\/v2\/article\/26244","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/signalz.pro\/api\/wp\/v2\/article"}],"about":[{"href":"https:\/\/signalz.pro\/api\/wp\/v2\/types\/article"}],"wp:attachment":[{"href":"https:\/\/signalz.pro\/api\/wp\/v2\/media?parent=26244"}],"wp:term":[{"taxonomy":"article-category","embeddable":true,"href":"https:\/\/signalz.pro\/api\/wp\/v2\/article-category?post=26244"},{"taxonomy":"article-tags","embeddable":true,"href":"https:\/\/signalz.pro\/api\/wp\/v2\/article-tags?post=26244"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}