{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "6ff9b98b-489e-4fb7-adb7-6feb25cbfea0", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\User\\AppData\\Local\\Temp\\ipykernel_9332\\2705817979.py:119: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n", "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n", "A typical example is when you are setting values in a column of a DataFrame, like:\n", "\n", "df[\"col\"][row_indexer] = value\n", "\n", "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", "\n", " df['signal'].iat[i] = -1\n", "C:\\Users\\User\\AppData\\Local\\Temp\\ipykernel_9332\\2705817979.py:120: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n", "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n", "A typical example is when you are setting values in a column of a DataFrame, like:\n", "\n", "df[\"col\"][row_indexer] = value\n", "\n", "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", "\n", " df['signal_reason'].iat[i] = \"No Demand (low vol narrow up bar after advance) -> probable weak continuation\"\n", "C:\\Users\\User\\AppData\\Local\\Temp\\ipykernel_9332\\2705817979.py:125: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n", "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n", "A typical example is when you are setting values in a column of a DataFrame, like:\n", "\n", "df[\"col\"][row_indexer] = value\n", "\n", "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", "\n", " df['signal'].iat[i] = 1\n", "C:\\Users\\User\\AppData\\Local\\Temp\\ipykernel_9332\\2705817979.py:126: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n", "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n", "A typical example is when you are setting values in a column of a DataFrame, like:\n", "\n", "df[\"col\"][row_indexer] = value\n", "\n", "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", "\n", " df['signal_reason'].iat[i] = \"No Supply (low vol narrow down bar after decline) -> probable test, buy\"\n", "C:\\Users\\User\\AppData\\Local\\Temp\\ipykernel_9332\\2705817979.py:113: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n", "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n", "A typical example is when you are setting values in a column of a DataFrame, like:\n", "\n", "df[\"col\"][row_indexer] = value\n", "\n", "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", "\n", " df['signal'].iat[i] = 1\n", "C:\\Users\\User\\AppData\\Local\\Temp\\ipykernel_9332\\2705817979.py:114: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n", "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n", "A typical example is when you are setting values in a column of a DataFrame, like:\n", "\n", "df[\"col\"][row_indexer] = value\n", "\n", "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", "\n", " df['signal_reason'].iat[i] = \"High vol up after downtrend -> strength (buy)\"\n", "C:\\Users\\User\\AppData\\Local\\Temp\\ipykernel_9332\\2705817979.py:107: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n", "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n", "A typical example is when you are setting values in a column of a DataFrame, like:\n", "\n", "df[\"col\"][row_indexer] = value\n", "\n", "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", "\n", " df['signal'].iat[i] = -1\n", "C:\\Users\\User\\AppData\\Local\\Temp\\ipykernel_9332\\2705817979.py:108: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n", "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n", "A typical example is when you are setting values in a column of a DataFrame, like:\n", "\n", "df[\"col\"][row_indexer] = value\n", "\n", "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", "\n", " df['signal_reason'].iat[i] = \"High vol down after uptrend -> weakness (sell)\"\n", "C:\\Users\\User\\AppData\\Local\\Temp\\ipykernel_9332\\2705817979.py:100: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n", "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n", "A typical example is when you are setting values in a column of a DataFrame, like:\n", "\n", "df[\"col\"][row_indexer] = value\n", "\n", "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", "\n", " df['signal'].iat[i] = 1\n", "C:\\Users\\User\\AppData\\Local\\Temp\\ipykernel_9332\\2705817979.py:101: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n", "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n", "A typical example is when you are setting values in a column of a DataFrame, like:\n", "\n", "df[\"col\"][row_indexer] = value\n", "\n", "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", "\n", " df['signal_reason'].iat[i] = \"Climax Down (high vol & large down bar) -> possible selling exhaustion\"\n" ] }, { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "close": { "bdata": 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usEACK4cW2W2wQMdLN4lhbbBAH4XrUVhtsEAQWDm0yGuwQIXrUbi+arBA2/l+anxpsEAzMzMz82mwQLKd76eGabBAN4lBYAVqsEC+nxov3WmwQKabxCDQarBAarx0k5hqsEBzaJHtnGmwQD81XrppabBAj8L1KLxpsEC4HoXrMWmwQCuHFtmOaLBArkfhepRlsEBzaJHtfGSwQCPb+X6KZrBAWDm0yDZmsEArhxbZDmWwQIGVQ4usY7BAObTIdl5jsEBMN4lBwGSwQLByaJFNZLBAhxbZztdlsEDy0k1iMGawQPLSTWIQZrBA16NwPQpnsEBvEoPACmewQA==", 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" }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Recent VSA signals (most recent first):\n", "2025-12-05 21:27 | Signal: BUY | Vol: 418 | Reason: No Supply (low vol narrow down bar after decline) -> probable test, buy\n", "2025-12-05 20:57 | Signal: BUY | Vol: 2563 | Reason: High vol up after downtrend -> strength (buy)\n", "2025-12-05 20:54 | Signal: BUY | Vol: 2601 | Reason: High vol up after downtrend -> strength (buy)\n", "2025-12-05 20:51 | Signal: BUY | Vol: 2104 | Reason: High vol up after downtrend -> strength (buy)\n", "2025-12-05 20:48 | Signal: BUY | Vol: 2596 | Reason: High vol up after downtrend -> strength (buy)\n", "2025-12-05 20:45 | Signal: BUY | Vol: 2435 | Reason: Climax Down (high vol & large down bar) -> possible selling exhaustion\n", "2025-12-05 20:30 | Signal: BUY | Vol: 1332 | Reason: High vol up after downtrend -> strength (buy)\n", "2025-12-05 16:51 | Signal: SELL | Vol: 1316 | Reason: No Demand (low vol narrow up bar after advance) -> probable weak continuation\n", "2025-12-05 16:18 | Signal: BUY | Vol: 4421 | Reason: High vol up after downtrend -> strength (buy)\n", "2025-12-05 16:12 | Signal: BUY | Vol: 6703 | Reason: Climax Down (high vol & large down bar) -> possible selling exhaustion\n", "2025-12-05 16:09 | Signal: BUY | Vol: 6590 | Reason: Climax Down (high vol & large down bar) -> possible selling exhaustion\n", "2025-12-05 15:03 | Signal: SELL | Vol: 2002 | Reason: High vol down after uptrend -> weakness (sell)\n", "2025-12-05 14:39 | Signal: BUY | Vol: 1704 | Reason: High vol up after downtrend -> strength (buy)\n", "2025-12-05 14:33 | Signal: BUY | Vol: 2006 | Reason: High vol up after downtrend -> strength (buy)\n", "2025-12-05 13:00 | Signal: BUY | Vol: 2110 | Reason: Climax Down (high vol & large down bar) -> possible selling exhaustion\n", "2025-12-05 12:06 | Signal: SELL | Vol: 725 | Reason: High vol down after uptrend -> weakness (sell)\n", "2025-12-05 10:27 | Signal: SELL | Vol: 539 | Reason: High vol down after uptrend -> weakness (sell)\n", "2025-12-05 09:57 | Signal: BUY | Vol: 238 | Reason: No Supply (low vol narrow down bar after decline) -> probable test, buy\n", "2025-12-05 06:12 | Signal: SELL | Vol: 1300 | Reason: High vol down after uptrend -> weakness (sell)\n", "2025-12-05 05:45 | Signal: SELL | Vol: 797 | Reason: High vol down after uptrend -> weakness (sell)\n" ] } ], "source": [ "import MetaTrader5 as mt5\n", "import pandas as pd\n", "import numpy as np\n", "import plotly.graph_objects as go\n", "from datetime import datetime, timedelta\n", "\n", "# -------------------------\n", "# 1. Initialize MT5\n", "# -------------------------\n", "if not mt5.initialize():\n", " print(\"MT5 initialization failed\")\n", " mt5.shutdown()\n", "\n", "# -------------------------\n", "# 2. Fetch 3-minute data\n", "# -------------------------\n", "symbol = \"XAUUSDc\"\n", "timeframe = mt5.TIMEFRAME_M3\n", "n_bars = 500\n", "utc_from = datetime.now() - timedelta(days=3)\n", "\n", "rates = mt5.copy_rates_from(symbol, timeframe, utc_from, n_bars)\n", "mt5.shutdown()\n", "\n", "# -------------------------\n", "# 3. Convert to DataFrame\n", "# -------------------------\n", "df = pd.DataFrame(rates)\n", "df['time'] = pd.to_datetime(df['time'], unit='s')\n", "df.set_index('time', inplace=True)\n", "\n", "# -------------------------\n", "# 4. Remove non-trading periods (weekends)\n", "# -------------------------\n", "df = df[df.index.dayofweek < 5]\n", "\n", "# -------------------------\n", "# 5. Feature engineering for VSA\n", "# -------------------------\n", "# basic bar measurements\n", "df['range'] = df['high'] - df['low']\n", "df['body'] = (df['close'] - df['open']).abs()\n", "df['upper_wick'] = df['high'] - df[['open', 'close']].max(axis=1)\n", "df['lower_wick'] = df[['open', 'close']].min(axis=1) - df['low']\n", "df['direction'] = np.where(df['close'] > df['open'], 1, np.where(df['close'] < df['open'], -1, 0))\n", "\n", "# rolling stats\n", "vol_ma_len = 20\n", "df['vol_ma'] = df['tick_volume'].rolling(vol_ma_len, min_periods=1).mean()\n", "df['vol_std'] = df['tick_volume'].rolling(vol_ma_len, min_periods=1).std().fillna(0)\n", "df['body_ma'] = df['body'].rolling(vol_ma_len, min_periods=1).mean()\n", "df['range_ma'] = df['range'].rolling(vol_ma_len, min_periods=1).mean()\n", "\n", "# normalized measures\n", "df['vol_z'] = (df['tick_volume'] - df['vol_ma']) / (df['vol_std'] + 1e-9)\n", "df['body_pct'] = df['body'] / (df['range_ma'] + 1e-9)\n", "\n", "# -------------------------\n", "# 6. VSA signal logic\n", "# -------------------------\n", "# signals: 1 buy signal, -1 sell signal, 0 none\n", "df['signal'] = 0\n", "df['signal_reason'] = \"\"\n", "\n", "# parameters (tweakable)\n", "climax_multiplier = 3.0 # very high volume relative to MA\n", "high_vol_multiplier = 1.5 # moderately high volume\n", "low_vol_multiplier = 0.5 # low volume threshold\n", "small_body_thresh = 0.35 # body percent threshold to call \"narrow body\"\n", "large_body_thresh = 0.6 # large body relative to range\n", "\n", "# helper for trend context: short-term slope of closes\n", "df['close_slope'] = df['close'].diff().rolling(6, min_periods=1).mean()\n", "\n", "for i in range(2, len(df)):\n", " vol = df['tick_volume'].iat[i]\n", " vol_ma = df['vol_ma'].iat[i]\n", " direction = df['direction'].iat[i]\n", " body_pct = df['body_pct'].iat[i]\n", " upper_wick = df['upper_wick'].iat[i]\n", " lower_wick = df['lower_wick'].iat[i]\n", " close = df['close'].iat[i]\n", " open_ = df['open'].iat[i]\n", " prev_close = df['close'].iat[i-1]\n", " slope = df['close_slope'].iat[i-1] # slope before this bar -> context\n", "\n", " # Safety: skip if nan\n", " if np.isnan(vol_ma) or vol_ma <= 0:\n", " continue\n", "\n", " # climactic volume up / down (effort producing strong result)\n", " if vol > vol_ma * climax_multiplier:\n", " if direction == 1 and body_pct > large_body_thresh:\n", " # climactic up: supply may be entering (potential reversal)\n", " df['signal'].iat[i] = -1\n", " df['signal_reason'].iat[i] = \"Climax Up (high vol & large up bar) -> possible distribution\"\n", " continue\n", " if direction == -1 and body_pct > large_body_thresh:\n", " # climactic down: selling climax -> possible exhaustion -> buy on test\n", " df['signal'].iat[i] = 1\n", " df['signal_reason'].iat[i] = \"Climax Down (high vol & large down bar) -> possible selling exhaustion\"\n", " continue\n", "\n", " # high volume down bar after uptrend (effort vs result)\n", " # If short-term prior slope positive and we now see high vol down close: weakness -> sell\n", " if vol > vol_ma * high_vol_multiplier and direction == -1 and slope > 0:\n", " df['signal'].iat[i] = -1\n", " df['signal_reason'].iat[i] = \"High vol down after uptrend -> weakness (sell)\"\n", " continue\n", "\n", " # high volume up bar after downtrend: strength -> buy\n", " if vol > vol_ma * high_vol_multiplier and direction == 1 and slope < 0:\n", " df['signal'].iat[i] = 1\n", " df['signal_reason'].iat[i] = \"High vol up after downtrend -> strength (buy)\"\n", " continue\n", "\n", " # No Demand (classic VSA): narrow up bar on low volume after advance -> likely no follow-through -> sell\n", " if vol < vol_ma * low_vol_multiplier and direction == 1 and body_pct < small_body_thresh and slope > 0:\n", " df['signal'].iat[i] = -1\n", " df['signal_reason'].iat[i] = \"No Demand (low vol narrow up bar after advance) -> probable weak continuation\"\n", " continue\n", "\n", " # No Supply: narrow down bar on low volume after decline -> likely no additional selling -> buy\n", " if vol < vol_ma * low_vol_multiplier and direction == -1 and body_pct < small_body_thresh and slope < 0:\n", " df['signal'].iat[i] = 1\n", " df['signal_reason'].iat[i] = \"No Supply (low vol narrow down bar after decline) -> probable test, buy\"\n", " continue\n", "\n", " # Testing (low vol down bar after selling climax) -> look for buy\n", " # If previous bar was a climactic down (very high vol down) and current bar is low vol with small down body => test => buy\n", " if i >= 2:\n", " prev_vol = df['tick_volume'].iat[i-1]\n", " prev_dir = df['direction'].iat[i-1]\n", " if prev_vol > df['vol_ma'].iat[i-1] * climax_multiplier and prev_dir == -1:\n", " if vol < vol_ma * low_vol_multiplier and direction != -1:\n", " df['signal'].iat[i] = 1\n", " df['signal_reason'].iat[i] = \"Test after selling climax -> buy\"\n", " continue\n", "\n", " # No signal default: continue loop\n", "\n", "# -------------------------\n", "# 7. Markers for plotting\n", "# -------------------------\n", "buy_mask = df['signal'] == 1\n", "sell_mask = df['signal'] == -1\n", "\n", "# price markers (above/below bars)\n", "price_buy_y = df['low'] - (df['range'] * 0.15)\n", "price_sell_y = df['high'] + (df['range'] * 0.15)\n", "\n", "# volume marker heights\n", "vol_max = df['tick_volume'].max()\n", "vol_buy_y = df['tick_volume'][buy_mask]\n", "vol_sell_y = df['tick_volume'][sell_mask]\n", "\n", "# -------------------------\n", "# 8. Plot 3-pane chart with signals\n", "# -------------------------\n", "fig = go.Figure()\n", "\n", "# Candlestick\n", "fig.add_trace(go.Candlestick(\n", " x=df.index,\n", " open=df['open'],\n", " high=df['high'],\n", " low=df['low'],\n", " close=df['close'],\n", " name=symbol,\n", " increasing_line_color='green',\n", " decreasing_line_color='red'\n", "))\n", "\n", "# Buy markers on price\n", "fig.add_trace(go.Scatter(\n", " x=df.index[buy_mask],\n", " y=price_buy_y[buy_mask],\n", " mode='markers',\n", " marker=dict(symbol='triangle-up', size=10),\n", " name='Buy Signal',\n", " hovertext=df['signal_reason'][buy_mask],\n", " hoverinfo='text'\n", "))\n", "\n", "# Sell markers on price\n", "fig.add_trace(go.Scatter(\n", " x=df.index[sell_mask],\n", " y=price_sell_y[sell_mask],\n", " mode='markers',\n", " marker=dict(symbol='triangle-down', size=10),\n", " name='Sell Signal',\n", " hovertext=df['signal_reason'][sell_mask],\n", " hoverinfo='text'\n", "))\n", "\n", "# Tick-volume bars (separate y-axis)\n", "fig.add_trace(go.Bar(\n", " x=df.index,\n", " y=df['tick_volume'],\n", " name='Tick Volume',\n", " marker_color='gray',\n", " yaxis='y2'\n", "))\n", "\n", "# Volume markers (overlay small markers on top of bars)\n", "fig.add_trace(go.Scatter(\n", " x=df.index[buy_mask],\n", " y=vol_buy_y,\n", " mode='markers',\n", " marker=dict(symbol='circle', size=8),\n", " name='Volume Buy Marker',\n", " yaxis='y2',\n", " hovertext=df['signal_reason'][buy_mask],\n", " hoverinfo='text'\n", "))\n", "fig.add_trace(go.Scatter(\n", " x=df.index[sell_mask],\n", " y=vol_sell_y,\n", " mode='markers',\n", " marker=dict(symbol='circle', size=8),\n", " name='Volume Sell Marker',\n", " yaxis='y2',\n", " hovertext=df['signal_reason'][sell_mask],\n", " hoverinfo='text'\n", "))\n", "\n", "# Layout\n", "fig.update_layout(\n", " template='plotly_white',\n", " title=f'{symbol} 3-Minute Candlestick with VSA Signals',\n", " xaxis=dict(title='Time', rangeslider=dict(visible=False)),\n", " yaxis=dict(title='Price', domain=[0.35, 1]),\n", " yaxis2=dict(title='Tick Volume', domain=[0.15, 0.33], showgrid=False, anchor=\"x\"),\n", " legend=dict(orientation='h', y=1.02, x=0),\n", " height=900\n", ")\n", "\n", "fig.show()\n", "\n", "# -------------------------\n", "# 9. Quick signal summary\n", "# -------------------------\n", "recent_signals = df[df['signal'] != 0].copy().tail(20)\n", "if not recent_signals.empty:\n", " print(\"Recent VSA signals (most recent first):\")\n", " for idx, row in recent_signals[::-1].iterrows():\n", " ts = idx.strftime(\"%Y-%m-%d %H:%M\")\n", " print(f\"{ts} | Signal: {'BUY' if row['signal']==1 else 'SELL'} | Vol: {int(row['tick_volume'])} | Reason: {row['signal_reason']}\")\n", "else:\n", " print(\"No VSA signals found in the dataset.\")\n" ] }, { "cell_type": "code", "execution_count": 9, "id": "05a457b3-e46d-4195-9d32-52b250669c60", "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "close": { "bdata": 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", "dtype": "f8" }, "decreasing": { "line": { "color": "red" } }, "high": { "bdata": 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", 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" }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Recent VSA signals (most recent first):\n", "2025-12-05 21:33 | Signal: BUY | Vol: 292 | Reason: No Supply (low vol narrow down bar after decline) -> probable test, buy\n", "2025-12-05 21:27 | Signal: BUY | Vol: 418 | Reason: No Supply (low vol narrow down bar after decline) -> probable test, buy\n", "2025-12-05 21:12 | Signal: BUY | Vol: 318 | Reason: No Supply (low vol narrow down bar after decline) -> probable test, buy\n", "2025-12-05 21:06 | Signal: SELL | Vol: 1668 | Reason: High vol down after uptrend -> weakness (sell)\n", "2025-12-05 21:03 | Signal: BUY | Vol: 1757 | Reason: High vol up after downtrend -> strength (buy)\n", "2025-12-05 21:00 | Signal: SELL | Vol: 1775 | Reason: High vol down after uptrend -> weakness (sell)\n", "2025-12-05 20:57 | Signal: BUY | Vol: 2563 | Reason: High vol up after downtrend -> strength (buy)\n", "2025-12-05 20:54 | Signal: BUY | Vol: 2601 | Reason: High vol up after downtrend -> strength (buy)\n", "2025-12-05 20:51 | Signal: BUY | Vol: 2104 | Reason: High vol up after downtrend -> strength (buy)\n", "2025-12-05 20:48 | Signal: BUY | Vol: 2596 | Reason: High vol up after downtrend -> strength (buy)\n", "2025-12-05 20:30 | Signal: BUY | Vol: 1332 | Reason: High vol up after downtrend -> strength (buy)\n", "2025-12-05 18:45 | Signal: BUY | Vol: 589 | Reason: No Supply (low vol narrow down bar after decline) -> probable test, buy\n", "2025-12-05 18:39 | Signal: BUY | Vol: 676 | Reason: No Supply (low vol narrow down bar after decline) -> probable test, buy\n", "2025-12-05 18:18 | Signal: BUY | Vol: 850 | Reason: No Supply (low vol narrow down bar after decline) -> probable test, buy\n", "2025-12-05 18:12 | Signal: SELL | Vol: 540 | Reason: No Demand (low vol narrow up bar after advance) -> probable weak continuation\n", "2025-12-05 18:09 | Signal: SELL | Vol: 687 | Reason: No Demand (low vol narrow up bar after advance) -> probable weak continuation\n", "2025-12-05 18:06 | Signal: SELL | Vol: 652 | Reason: No Demand (low vol narrow up bar after advance) -> probable weak continuation\n", "2025-12-05 18:03 | Signal: SELL | Vol: 635 | Reason: No Demand (low vol narrow up bar after advance) -> probable weak continuation\n", "2025-12-05 17:57 | Signal: SELL | Vol: 676 | Reason: No Demand (low vol narrow up bar after advance) -> probable weak continuation\n", "2025-12-05 17:51 | Signal: SELL | Vol: 728 | Reason: No Demand (low vol narrow up bar after advance) -> probable weak continuation\n" ] } ], "source": [ "import MetaTrader5 as mt5\n", "import pandas as pd\n", "import numpy as np\n", "import plotly.graph_objects as go\n", "from datetime import datetime, timedelta\n", "\n", "# -------------------------\n", "# 1. Initialize MT5\n", "# -------------------------\n", "if not mt5.initialize():\n", " print(\"MT5 initialization failed\")\n", " mt5.shutdown()\n", "\n", "# -------------------------\n", "# 2. Fetch 3-minute data\n", "# -------------------------\n", "symbol = \"XAUUSDc\"\n", "timeframe = mt5.TIMEFRAME_M3\n", "n_bars = 1000\n", "utc_from = datetime.now() - timedelta(days=3)\n", "\n", "rates = mt5.copy_rates_from(symbol, timeframe, utc_from, n_bars)\n", "mt5.shutdown()\n", "\n", "# -------------------------\n", "# 3. Convert to DataFrame\n", "# -------------------------\n", "df = pd.DataFrame(rates)\n", "df['time'] = pd.to_datetime(df['time'], unit='s')\n", "df.set_index('time', inplace=True)\n", "\n", "# -------------------------\n", "# 4. Remove non-trading periods (weekends)\n", "# -------------------------\n", "df = df[df.index.dayofweek < 5]\n", "\n", "# -------------------------\n", "# 5. Feature engineering for VSA\n", "# -------------------------\n", "df['range'] = df['high'] - df['low']\n", "df['body'] = (df['close'] - df['open']).abs()\n", "df['upper_wick'] = df['high'] - df[['open', 'close']].max(axis=1)\n", "df['lower_wick'] = df[['open', 'close']].min(axis=1) - df['low']\n", "df['direction'] = np.where(df['close'] > df['open'], 1, np.where(df['close'] < df['open'], -1, 0))\n", "\n", "vol_ma_len = 50\n", "df['vol_ma'] = df['tick_volume'].rolling(vol_ma_len, min_periods=1).mean()\n", "df['vol_std'] = df['tick_volume'].rolling(vol_ma_len, min_periods=1).std().fillna(0)\n", "df['body_ma'] = df['body'].rolling(vol_ma_len, min_periods=1).mean()\n", "df['range_ma'] = df['range'].rolling(vol_ma_len, min_periods=1).mean()\n", "\n", "df['vol_z'] = (df['tick_volume'] - df['vol_ma']) / (df['vol_std'] + 1e-9)\n", "df['body_pct'] = df['body'] / (df['range_ma'] + 1e-9)\n", "\n", "df['close_slope'] = df['close'].diff().rolling(6, min_periods=1).mean()\n", "\n", "# -------------------------\n", "# 6. VSA signal logic (avoid chained assignment by using arrays)\n", "# -------------------------\n", "n = len(df)\n", "signals = np.zeros(n, dtype=int)\n", "reasons = np.full(n, '', dtype=object)\n", "\n", "climax_multiplier = 3.0\n", "high_vol_multiplier = 1.5\n", "low_vol_multiplier = 0.5\n", "small_body_thresh = 0.35\n", "large_body_thresh = 0.6\n", "\n", "# Use positional access via iloc to gather values, but write to arrays\n", "for i in range(2, n):\n", " vol = df['tick_volume'].iat[i]\n", " vol_ma = df['vol_ma'].iat[i]\n", " direction = df['direction'].iat[i]\n", " body_pct = df['body_pct'].iat[i]\n", " upper_wick = df['upper_wick'].iat[i]\n", " lower_wick = df['lower_wick'].iat[i]\n", " close = df['close'].iat[i]\n", " open_ = df['open'].iat[i]\n", " prev_close = df['close'].iat[i-1]\n", " slope = df['close_slope'].iat[i-1] # context\n", "\n", " # skip if vol_ma invalid\n", " if np.isnan(vol_ma) or vol_ma <= 0:\n", " continue\n", "\n", " # climactic volume up / down\n", " if vol > vol_ma * climax_multiplier:\n", " if direction == 1 and body_pct > large_body_thresh:\n", " signals[i] = -1\n", " reasons[i] = \"Climax Up (high vol & large up bar) -> possible distribution\"\n", " continue\n", " if direction == -1 and body_pct > large_body_thresh:\n", " signals[i] = 1\n", " reasons[i] = \"Climax Down (high vol & large down bar) -> possible selling exhaustion\"\n", " continue\n", "\n", " # high volume down after uptrend\n", " if vol > vol_ma * high_vol_multiplier and direction == -1 and slope > 0:\n", " signals[i] = -1\n", " reasons[i] = \"High vol down after uptrend -> weakness (sell)\"\n", " continue\n", "\n", " # high volume up after downtrend\n", " if vol > vol_ma * high_vol_multiplier and direction == 1 and slope < 0:\n", " signals[i] = 1\n", " reasons[i] = \"High vol up after downtrend -> strength (buy)\"\n", " continue\n", "\n", " # No Demand\n", " if vol < vol_ma * low_vol_multiplier and direction == 1 and body_pct < small_body_thresh and slope > 0:\n", " signals[i] = -1\n", " reasons[i] = \"No Demand (low vol narrow up bar after advance) -> probable weak continuation\"\n", " continue\n", "\n", " # No Supply\n", " if vol < vol_ma * low_vol_multiplier and direction == -1 and body_pct < small_body_thresh and slope < 0:\n", " signals[i] = 1\n", " reasons[i] = \"No Supply (low vol narrow down bar after decline) -> probable test, buy\"\n", " continue\n", "\n", " # Test after selling climax\n", " prev_vol = df['tick_volume'].iat[i-1]\n", " prev_dir = df['direction'].iat[i-1]\n", " if prev_vol > df['vol_ma'].iat[i-1] * climax_multiplier and prev_dir == -1:\n", " if vol < vol_ma * low_vol_multiplier and direction != -1:\n", " signals[i] = 1\n", " reasons[i] = \"Test after selling climax -> buy\"\n", " continue\n", "\n", "# assign arrays back to df in one vectorized assignment\n", "df['signal'] = signals\n", "df['signal_reason'] = reasons\n", "\n", "# -------------------------\n", "# 7. Markers for plotting and rest of original plotting code\n", "# -------------------------\n", "buy_mask = df['signal'] == 1\n", "sell_mask = df['signal'] == -1\n", "\n", "price_buy_y = df['low'] - (df['range'] * 0.15)\n", "price_sell_y = df['high'] + (df['range'] * 0.15)\n", "\n", "vol_buy_y = df['tick_volume'][buy_mask]\n", "vol_sell_y = df['tick_volume'][sell_mask]\n", "\n", "fig = go.Figure()\n", "\n", "fig.add_trace(go.Candlestick(\n", " x=df.index,\n", " open=df['open'],\n", " high=df['high'],\n", " low=df['low'],\n", " close=df['close'],\n", " name=symbol,\n", " increasing_line_color='green',\n", " decreasing_line_color='red'\n", "))\n", "\n", "fig.add_trace(go.Scatter(\n", " x=df.index[buy_mask],\n", " y=price_buy_y[buy_mask],\n", " mode='markers',\n", " marker=dict(symbol='triangle-up', size=10),\n", " name='Buy Signal',\n", " hovertext=df['signal_reason'][buy_mask],\n", " hoverinfo='text'\n", "))\n", "\n", "fig.add_trace(go.Scatter(\n", " x=df.index[sell_mask],\n", " y=price_sell_y[sell_mask],\n", " mode='markers',\n", " marker=dict(symbol='triangle-down', size=10),\n", " name='Sell Signal',\n", " hovertext=df['signal_reason'][sell_mask],\n", " hoverinfo='text'\n", "))\n", "\n", "fig.add_trace(go.Bar(\n", " x=df.index,\n", " y=df['tick_volume'],\n", " name='Tick Volume',\n", " marker_color='gray',\n", " yaxis='y2'\n", "))\n", "\n", "fig.add_trace(go.Scatter(\n", " x=df.index[buy_mask],\n", " y=vol_buy_y,\n", " mode='markers',\n", " marker=dict(symbol='circle', size=8),\n", " name='Volume Buy Marker',\n", " yaxis='y2',\n", " hovertext=df['signal_reason'][buy_mask],\n", " hoverinfo='text'\n", "))\n", "fig.add_trace(go.Scatter(\n", " x=df.index[sell_mask],\n", " y=vol_sell_y,\n", " mode='markers',\n", " marker=dict(symbol='circle', size=8),\n", " name='Volume Sell Marker',\n", " yaxis='y2',\n", " hovertext=df['signal_reason'][sell_mask],\n", " hoverinfo='text'\n", "))\n", "\n", "fig.update_layout(\n", " template='plotly_white',\n", " title=f'{symbol} 3-Minute Candlestick with VSA Signals',\n", " xaxis=dict(title='Time', rangeslider=dict(visible=False)),\n", " yaxis=dict(title='Price', domain=[0.35, 1]),\n", " yaxis2=dict(title='Tick Volume', domain=[0.15, 0.33], showgrid=False, anchor=\"x\"),\n", " legend=dict(orientation='h', y=1.02, x=0),\n", " height=900\n", ")\n", "\n", "fig.show()\n", "\n", "# -------------------------\n", "# 8. Quick signal summary\n", "# -------------------------\n", "recent_signals = df[df['signal'] != 0].copy().tail(20)\n", "if not recent_signals.empty:\n", " print(\"Recent VSA signals (most recent first):\")\n", " for idx, row in recent_signals[::-1].iterrows():\n", " ts = idx.strftime(\"%Y-%m-%d %H:%M\")\n", " print(f\"{ts} | Signal: {'BUY' if row['signal']==1 else 'SELL'} | Vol: {int(row['tick_volume'])} | Reason: {row['signal_reason']}\")\n", "else:\n", " print(\"No VSA signals found in the dataset.\")\n" ] }, { "cell_type": "code", "execution_count": 16, "id": "721383fc-d6dd-4a36-bcbe-c730e3202b95", "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "close": { "bdata": 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", "dtype": "f8" }, "decreasing": { "line": { "color": "red" } }, "high": { "bdata": 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", 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zsEB3vp8aD3SwQI/C9Si8crBAiUFg5dBxsEDTTWIQuHGwQDMzMzOzcrBAH4XrUfhysEA5tMh2nnKwQM3MzMxscbBALbKd7wdxsEC8dJMYJHGwQOXQIttZb7BATDeJQSBvsEDRItv5HnCwQIPAyqGlabBAc2iR7XxosEBOYhBYmWewQIlBYOXQarBAJzEIrJxqsEDByqFF1miwQJqZmZnZabBAtvP91BhssEAOLbKdT2ywQH9qvHRTbrBATmIQWFlwsEB9PzVe+m+wQAisHFpkb7BAiUFg5RBusEAUrkfhum6wQMHKoUWWbrBAXrpJDIJusEDD9Shcr2+wQC/dJAYBb7BAHVpkO59usEAzMzMzs26wQEa28/20b7BADi2ynU9vsEBSuB6FC2+wQEJg5dACbrBAAAAAACBwsEBWDi2yHXCwQLx0kxhEb7BA5/up8dJusEArhxbZbm6wQIlBYOVwbbBA+n5qvNRtsEDFILBy6G2wQFTjpZvkbrBAlkOLbKdvsEDy0k1ikG+wQDEIrBw6b7BAukkMAotvsEAZBFYOjXCwQJzEILCScLBAI9v5fspwsEASg8DKoXGwQKAaL91EcbBAc2iR7RxwsEB56SYxCHCwQKRwPQo3cLBACKwcWqRwsEBEi2zne3CwQCuHFtkOcLBAyXa+n5pwsEDFILByiHCwQEJg5dDicLBA001iELhwsEDhehSuB3GwQC2yne8ncLBA30+Nl+5wsEAMAiuH9m+wQLKd76dmcLBAvHSTGKRvsEArhxbZLnCwQMdLN4mhb7BArkfhejRvsEB7FK5HgW+wQN9PjZeOb7BAL90kBqFvsEDVeOkm0W+wQGq8dJO4b7BAexSuR+FusEDdJAaBlW+wQMP1KFxPb7BABFYOLfJusEAK16Nw3WuwQCuHFtlubbBAObTIdh5ssEDLoUW282uwQGiR7Xx/bLBA7FG4HqVssEDRItv5vmywQA4tsp0vbLBAYOXQIjttsEBQjZdu0m6wQDMzMzMzcLBAJzEIrBxvsEBKDAIrB3CwQMP1KFwPbrBAO99PjTdusEBkO99PLW2wQLpJDALrbLBA8KfGS/dqsEA9Ctej0GqwQGq8dJPYarBAPzVeuqlrsEDfT42XTmywQC/dJAaBa7BAN4lBYCVssECF61G4nmqwQFTjpZvkabBAuB6F6zFpsEDLoUW2U2iwQHe+nxoPaLBAFK5H4RpmsEBiEFg59GKwQOxRuB4lY7BA5/up8dJisECmm8QgMGOwQDeJQWDlZLBAWDm0yNZlsEA3iUFgZWawQGIQWDl0ZbBAaJHtfD9msEBkO99PzWewQARWDi3yZrBAukkMAmtlsEBcj8L16GWwQB+F61E4aLBAvHSTGKRosECF61G4nmiwQDeJQWBlabBAhetRuP5psECyne+npmiwQE5iEFj5abBA7nw/Nf5osEBiEFg5FGiwQK5H4XqUZ7BAHVpkO99lsEB3vp8az2SwQPYoXI/CZLBAcT0K14NlsEDP91PjRWWwQPT91HgpZbBADAIrh7ZksEDP91PjhWawQNV46SaxZ7BAAAAAAIBssECgGi/dpGywQMP1KFyvbbBAHVpkOx9tsEB56SYxyGywQGQ730/tbrBAnMQgsNJrsEDufD813muwQH9qvHTTabBABoGVQ0tqsEBYObTI1mqwQDvfT43Xa7BAuB6F6xFrsEAOLbKdT2uwQFYOLbI9arBA16NwPWpqsEBU46WbpGqwQKrx0k2CbLBABFYOLfJssED+1Hjppm2wQJqZmZn5brBAQmDl0EJvsECwcmiRLXCwQMdLN4khcbBA30+Nl65vsEBzaJHt3G+wQLByaJFNcLBArBxaZPtxsECe76fGi3OwQC/dJAaBc7BA9P3UeEl0sEDwp8ZLl3OwQPLSTWJwc7BAI9v5fmpzsEAAAAAAoHOwQL6fGi99dLBAwcqhRVZ2sEAj2/l+qnWwQIGVQ4tsdbBAnMQgsDJ1sEBzaJHtXHWwQM/3U+MldrBASgwCK0d3sECTGARWrnewQE5iEFg5eLBATDeJQaB4sEBaZDvfb3ewQLpJDALLd7BA+FPjpdt3sEDfT42XbnewQAaBlUMreLBAyXa+n3p2sEBaZDvfT3awQM/3U+MFeLBAz/dT4+V5sEB/arx0E3qwQArXo3D9ebBAZmZmZsZ5sEAv3SQGIXuwQBkEVg5Ne7BA1XjpJvF6sEDTTWIQ+HqwQJqZmZmZe7BAF9nO93N7sEDXo3A9inuwQBSuR+GaerBAfT81Xtp7sECwcmiRbXywQD81XroJgbBA9ihcj4KAsEBOYhBYmYCwQBkEVg6tgLBA6SYxCAyCsEDTTWIQGIOwQBSuR+E6g7BArkfhetR/sEDwp8ZLF4CwQDeJQWCFgrBAQmDl0CKCsEACK4cW2YCwQH0/NV5agLBAppvEILB/sEAtsp3v53+wQDm0yHY+gLBA+FPjpXuAsEDJdr6feoCwQBBYObQIgbBAjZduEiOCsEBYObTI1oOwQMl2vp/6grBA1XjpJhGDsEDNzMzMTIKwQAwCK4cWg7BAZmZmZsaCsEBvEoPAyoOwQLpJDAKrgbBAJzEIrPyBsECWQ4tsh4KwQHe+nxpvgrBAUrgehWuAsEA5tMh23n+wQC/dJAZhgLBAPQrXo5B+sEC8dJMYhH6wQNV46SbRf7BAVg4tst1/sEBmZmZmRoGwQAAAAADgfbBAd76fGg9+sEAnMQisvH6wQMP1KFyPfrBA2/l+avx+sECLbOf7qYCwQKrx0k3if7BAO99Pjdd+sECTGARWznywQIlBYOXwfrBAfT81Xrp/sEDD9ShcT3+wQGDl0CL7frBAPQrXo9B+sEDb+X5qPH6wQAIrhxaZfLBAarx0k5h8sEDhehSuh3ywQG8Sg8DKe7BAdZMYBPZ7sEA1XrpJbHmwQEw3iUHgebBAc2iR7Vx6sEAUrkfhenmwQBBYObTod7BAhetRuD55sEAAAAAAQHqwQK5H4Xo0e7BA7FG4HoV7sEAzMzMzE3ywQFK4HoWrfLBAwcqhRVZ/sEBSuB6Fa3+wQOxRuB5lf7BAkxgEVi5/sEDb+X5qnH+wQKabxCAwf7BAcT0K10N/sECyne+nJn+wQKrx0k2igLBAjZduEiOAsEBGtvP9lICwQA4tsp3vf7BAObTIdt5/sEB1kxgEtn+wQG8Sg8AqgLBARIts59uBsEDpJjEILH+wQC2yne+Hf7BArkfherR/sEBt5/upMYCwQMP1KFxvf7BAjZduEmN/sEBzaJHtPH+wQPYoXI+CfrBAz/dT44V+sEAbL90k5n+wQHE9CtfjfrBAmG4SgwB8sECR7Xw/tXywQPT91HhJfrBAWDm0yDZ9sEDP91PjxXywQDvfT413f7BAXI/C9WiAsEB56SYxqICwQHWTGAT2frBA+FPjpft8sEBiEFg5NH2wQOXQIts5fbBAfT81Xnp8sECWQ4tsJ32wQIPAyqHFfbBAoBov3YR9sEA/NV66qX2wQI/C9Si8fbBAWmQ73+99sEBOYhBY+X6wQBKDwMoBf7BAXI/C9eiAsEBzaJHtXIKwQHE9CtcDgrBA9ihcj2KAsEDy0k1ikIGwQGq8dJM4grBA/tR46SaAsEBOYhBYmYGwQGQ730/tf7BA+n5qvNR+sEBKDAIrx3+wQF66SQwigLBAzczMzGx/sED8qfHSrYCwQPp+arw0gbBA7FG4HmWBsEDy0k1icICwQD81XrppgrBAmG4Sg4CDsEBmZmZmpoCwQLx0kxgEgLBAsp3vp4Z9sEC6SQwCC3+wQMl2vp+agrBA9ihcj8KBsECiRbbzvYGwQPp+arz0grBArBxaZBuEsEBvEoPAaoWwQKJFtvPdh7BAMQisHPqIsEAdWmQ7X4qwQDvfT403ibBAexSuRyGHsEB1kxgE1oawQHE9CtfjhbBA0SLb+V6IsEBGtvP99IqwQMP1KFwPirBA46WbxECIsEAbL90k5oiwQKwcWmQbibBAYOXQIluMsEAUrkfhuoywQOf7qfHSibBAL90kBmGJsEBoke18X4iwQM3MzMzMiLBA7FG4HkWGsEDjpZvEYIWwQP7UeOlGhLBA30+Nl06FsECgGi/dZIawQC2yne/niLBAPQrXo/CKsECamZmZuY+wQOOlm8RAkbBAarx0k/iQsEBKDAIr55CwQKRwPQo3jbBAwcqhRdaNsEAbL90kJoqwQBBYObQIjLBAqMZLN2mOsEBeukkMAo6wQGDl0CI7kbBA0SLb+R6UsECoxks3aZOwQBfZzvfTlbBAfT81XjqWsECmm8QgkJuwQPhT46VbnbBA9P3UeMmfsEBKDAIrB52wQBSuR+H6l7BA7FG4HiWVsEAMAiuH9pCwQEw3iUEgkLBAWDm0yLaNsEC0yHa+34+wQPyp8dLNirBAd76fGs+LsEDn+6nxcnSwQDvfT433arBAObTIdn5qsEA3iUFgpWawQGq8dJM4arBASgwCK4dvsEAEVg4tknewQLTIdr6/b7BAcT0K10NwsEB9PzVeOnWwQHnpJjGIcrBANV66SQxxsEDByqFFtm+wQCPb+X6Kb7BAvp8aLz10sEA/NV66KXawQLbz/dQYdrBAg8DKoWVysECgGi/dJHWwQKabxCAwd7BAx0s3iSF1sECJQWDlEHawQGIQWDk0dbBAvp8aL/13sECYbhKDgHawQKAaL90EdrBAlkOLbOd2sECTGARWbnewQEjhehQOcbBAvHSTGERusECDwMqhhXCwQMP1KFzPcbBAbef7qdF0sEC28/3UuHWwQFyPwvXId7BAnu+nxot3sEDpJjEIrHiwQGQ730/tdrBAaJHtfL93sEDXo3A9KnewQDeJQWCFeLBAiUFg5dB4sEAGgZVDC3iwQMP1KFyvdrBAvp8aL/1zsECYbhKDQHOwQI/C9SgccrBA16NwPQpzsEAMAiuH9nOwQIPAyqElc7BACtejcH10sEDdJAaBVXGwQJ7vp8brcrBAyXa+n/pysEA/NV6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" }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Recent VSA signals (most recent first):\n", "2025-12-05 21:27 | Signal: BUY | Vol: 418 | Reason: No Supply (low vol narrow down bar after decline) -> probable test, buy\n", "2025-12-05 20:57 | Signal: BUY | Vol: 2563 | Reason: High vol up after downtrend -> strength (buy)\n", "2025-12-05 20:54 | Signal: BUY | Vol: 2601 | Reason: High vol up after downtrend -> strength (buy)\n", "2025-12-05 20:51 | Signal: BUY | Vol: 2104 | Reason: High vol up after downtrend -> strength (buy)\n", "2025-12-05 20:48 | Signal: BUY | Vol: 2596 | Reason: High vol up after downtrend -> strength (buy)\n", "2025-12-05 20:45 | Signal: BUY | Vol: 2435 | Reason: Climax Down (high vol & large down bar) -> possible selling exhaustion\n", "2025-12-05 20:30 | Signal: BUY | Vol: 1332 | Reason: High vol up after downtrend -> strength (buy)\n", "2025-12-05 16:51 | Signal: SELL | Vol: 1316 | Reason: No Demand (low vol narrow up bar after advance) -> probable weak continuation\n", "2025-12-05 16:18 | Signal: BUY | Vol: 4421 | Reason: High vol up after downtrend -> strength (buy)\n", "2025-12-05 16:12 | Signal: BUY | Vol: 6703 | Reason: Climax Down (high vol & large down bar) -> possible selling exhaustion\n", "2025-12-05 16:09 | Signal: BUY | Vol: 6590 | Reason: Climax Down (high vol & large down bar) -> possible selling exhaustion\n", "2025-12-05 15:03 | Signal: SELL | Vol: 2002 | Reason: High vol down after uptrend -> weakness (sell)\n", "2025-12-05 14:39 | Signal: BUY | Vol: 1704 | Reason: High vol up after downtrend -> strength (buy)\n", "2025-12-05 14:33 | Signal: BUY | Vol: 2006 | Reason: High vol up after downtrend -> strength (buy)\n", "2025-12-05 13:00 | Signal: BUY | Vol: 2110 | Reason: Climax Down (high vol & large down bar) -> possible selling exhaustion\n", "2025-12-05 12:06 | Signal: SELL | Vol: 725 | Reason: High vol down after uptrend -> weakness (sell)\n", "2025-12-05 10:27 | Signal: SELL | Vol: 539 | Reason: High vol down after uptrend -> weakness (sell)\n", "2025-12-05 09:57 | Signal: BUY | Vol: 238 | Reason: No Supply (low vol narrow down bar after decline) -> probable test, buy\n", "2025-12-05 06:12 | Signal: SELL | Vol: 1300 | Reason: High vol down after uptrend -> weakness (sell)\n", "2025-12-05 05:45 | Signal: SELL | Vol: 797 | Reason: High vol down after uptrend -> weakness (sell)\n" ] } ], "source": [ "import MetaTrader5 as mt5\n", "import pandas as pd\n", "import numpy as np\n", "import plotly.graph_objects as go\n", "from datetime import datetime, timedelta\n", "\n", "# -------------------------\n", "# 1. Initialize MT5\n", "# -------------------------\n", "if not mt5.initialize():\n", " print(\"MT5 initialization failed\")\n", " mt5.shutdown()\n", "\n", "# -------------------------\n", "# 2. Fetch 3-minute data\n", "# -------------------------\n", "symbol = \"XAUUSDc\"\n", "timeframe = mt5.TIMEFRAME_M3\n", "n_bars = 1000\n", "utc_from = datetime.now() - timedelta(days=3)\n", "\n", "rates = mt5.copy_rates_from(symbol, timeframe, utc_from, n_bars)\n", "mt5.shutdown()\n", "\n", "# -------------------------\n", "# 3. Convert to DataFrame\n", "# -------------------------\n", "df = pd.DataFrame(rates)\n", "df['time'] = pd.to_datetime(df['time'], unit='s')\n", "df.set_index('time', inplace=True)\n", "\n", "# -------------------------\n", "# 4. Remove non-trading periods (weekends)\n", "# -------------------------\n", "df = df[df.index.dayofweek < 5]\n", "\n", "# -------------------------\n", "# 5. Feature engineering for VSA\n", "# -------------------------\n", "df['range'] = df['high'] - df['low']\n", "df['body'] = (df['close'] - df['open']).abs()\n", "df['upper_wick'] = df['high'] - df[['open', 'close']].max(axis=1)\n", "df['lower_wick'] = df[['open', 'close']].min(axis=1) - df['low']\n", "df['direction'] = np.where(df['close'] > df['open'], 1, np.where(df['close'] < df['open'], -1, 0))\n", "\n", "vol_ma_len = 20\n", "df['vol_ma'] = df['tick_volume'].rolling(vol_ma_len, min_periods=1).mean()\n", "df['vol_std'] = df['tick_volume'].rolling(vol_ma_len, min_periods=1).std().fillna(0)\n", "df['body_ma'] = df['body'].rolling(vol_ma_len, min_periods=1).mean()\n", "df['range_ma'] = df['range'].rolling(vol_ma_len, min_periods=1).mean()\n", "\n", "df['vol_z'] = (df['tick_volume'] - df['vol_ma']) / (df['vol_std'] + 1e-9)\n", "df['body_pct'] = df['body'] / (df['range_ma'] + 1e-9)\n", "\n", "df['close_slope'] = df['close'].diff().rolling(6, min_periods=1).mean()\n", "\n", "# -------------------------\n", "# 6. VSA signal logic\n", "# -------------------------\n", "n = len(df)\n", "signals = np.zeros(n, dtype=int)\n", "reasons = np.full(n, '', dtype=object)\n", "\n", "climax_multiplier = 3.0\n", "high_vol_multiplier = 1.5\n", "low_vol_multiplier = 0.5\n", "small_body_thresh = 0.35\n", "large_body_thresh = 0.6\n", "\n", "for i in range(2, n):\n", " vol = df['tick_volume'].iat[i]\n", " vol_ma = df['vol_ma'].iat[i]\n", " direction = df['direction'].iat[i]\n", " body_pct = df['body_pct'].iat[i]\n", " upper_wick = df['upper_wick'].iat[i]\n", " lower_wick = df['lower_wick'].iat[i]\n", " close = df['close'].iat[i]\n", " open_ = df['open'].iat[i]\n", " prev_close = df['close'].iat[i-1]\n", " slope = df['close_slope'].iat[i-1]\n", "\n", " if np.isnan(vol_ma) or vol_ma <= 0:\n", " continue\n", "\n", " if vol > vol_ma * climax_multiplier:\n", " if direction == 1 and body_pct > large_body_thresh:\n", " signals[i] = -1\n", " reasons[i] = \"Climax Up (high vol & large up bar) -> possible distribution\"\n", " continue\n", " if direction == -1 and body_pct > large_body_thresh:\n", " signals[i] = 1\n", " reasons[i] = \"Climax Down (high vol & large down bar) -> possible selling exhaustion\"\n", " continue\n", "\n", " if vol > vol_ma * high_vol_multiplier and direction == -1 and slope > 0:\n", " signals[i] = -1\n", " reasons[i] = \"High vol down after uptrend -> weakness (sell)\"\n", " continue\n", "\n", " if vol > vol_ma * high_vol_multiplier and direction == 1 and slope < 0:\n", " signals[i] = 1\n", " reasons[i] = \"High vol up after downtrend -> strength (buy)\"\n", " continue\n", "\n", " if vol < vol_ma * low_vol_multiplier and direction == 1 and body_pct < small_body_thresh and slope > 0:\n", " signals[i] = -1\n", " reasons[i] = \"No Demand (low vol narrow up bar after advance) -> probable weak continuation\"\n", " continue\n", "\n", " if vol < vol_ma * low_vol_multiplier and direction == -1 and body_pct < small_body_thresh and slope < 0:\n", " signals[i] = 1\n", " reasons[i] = \"No Supply (low vol narrow down bar after decline) -> probable test, buy\"\n", " continue\n", "\n", " prev_vol = df['tick_volume'].iat[i-1]\n", " prev_dir = df['direction'].iat[i-1]\n", " if prev_vol > df['vol_ma'].iat[i-1] * climax_multiplier and prev_dir == -1:\n", " if vol < vol_ma * low_vol_multiplier and direction != -1:\n", " signals[i] = 1\n", " reasons[i] = \"Test after selling climax -> buy\"\n", " continue\n", "\n", "df['signal'] = signals\n", "df['signal_reason'] = reasons\n", "\n", "# -------------------------\n", "# 7. Plotting (with VOLUME MA added)\n", "# -------------------------\n", "buy_mask = df['signal'] == 1\n", "sell_mask = df['signal'] == -1\n", "\n", "price_buy_y = df['low'] - (df['range'] * 0.15)\n", "price_sell_y = df['high'] + (df['range'] * 0.15)\n", "\n", "vol_buy_y = df['tick_volume'][buy_mask]\n", "vol_sell_y = df['tick_volume'][sell_mask]\n", "\n", "fig = go.Figure()\n", "\n", "fig.add_trace(go.Candlestick(\n", " x=df.index,\n", " open=df['open'],\n", " high=df['high'],\n", " low=df['low'],\n", " close=df['close'],\n", " name=symbol,\n", " increasing_line_color='green',\n", " decreasing_line_color='red'\n", "))\n", "\n", "fig.add_trace(go.Scatter(\n", " x=df.index[buy_mask],\n", " y=price_buy_y[buy_mask],\n", " mode='markers',\n", " marker=dict(symbol='triangle-up', size=10),\n", " name='Buy Signal',\n", " hovertext=df['signal_reason'][buy_mask],\n", " hoverinfo='text'\n", "))\n", "\n", "fig.add_trace(go.Scatter(\n", " x=df.index[sell_mask],\n", " y=price_sell_y[sell_mask],\n", " mode='markers',\n", " marker=dict(symbol='triangle-down', size=10),\n", " name='Sell Signal',\n", " hovertext=df['signal_reason'][sell_mask],\n", " hoverinfo='text'\n", "))\n", "\n", "fig.add_trace(go.Bar(\n", " x=df.index,\n", " y=df['tick_volume'],\n", " name='Tick Volume',\n", " marker_color='gray',\n", " yaxis='y2'\n", "))\n", "\n", "fig.add_trace(go.Scatter(\n", " x=df.index[buy_mask],\n", " y=vol_buy_y,\n", " mode='markers',\n", " marker=dict(symbol='circle', size=8),\n", " name='Volume Buy Marker',\n", " yaxis='y2',\n", " hovertext=df['signal_reason'][buy_mask],\n", " hoverinfo='text'\n", "))\n", "fig.add_trace(go.Scatter(\n", " x=df.index[sell_mask],\n", " y=vol_sell_y,\n", " mode='markers',\n", " marker=dict(symbol='circle', size=8),\n", " name='Volume Sell Marker',\n", " yaxis='y2',\n", " hovertext=df['signal_reason'][sell_mask],\n", " hoverinfo='text'\n", "))\n", "\n", "# -------------------------\n", "# NEW: Volume Moving Average Plot\n", "# -------------------------\n", "fig.add_trace(go.Scatter(\n", " x=df.index,\n", " y=df['vol_ma'],\n", " mode='lines',\n", " line=dict(width=2),\n", " name=f'Volume MA ({vol_ma_len})',\n", " yaxis='y2'\n", "))\n", "\n", "fig.update_layout(\n", " template='plotly_white',\n", " title=f'{symbol} 3-Minute Candlestick with VSA Signals',\n", " xaxis=dict(title='Time', rangeslider=dict(visible=False)),\n", " yaxis=dict(title='Price', domain=[0.35, 1]),\n", " yaxis2=dict(title='Tick Volume', domain=[0.15, 0.33], showgrid=False, anchor=\"x\"),\n", " legend=dict(orientation='h', y=1.02, x=0),\n", " height=900\n", ")\n", "\n", "fig.show()\n", "\n", "# -------------------------\n", "# 8. Quick signal summary\n", "# -------------------------\n", "recent_signals = df[df['signal'] != 0].copy().tail(20)\n", "if not recent_signals.empty:\n", " print(\"Recent VSA signals (most recent first):\")\n", " for idx, row in recent_signals[::-1].iterrows():\n", " ts = idx.strftime(\"%Y-%m-%d %H:%M\")\n", " print(f\"{ts} | Signal: {'BUY' if row['signal']==1 else 'SELL'} | Vol: {int(row['tick_volume'])} | Reason: {row['signal_reason']}\")\n", "else:\n", " print(\"No VSA signals found in the dataset.\")\n" ] }, { "cell_type": "code", "execution_count": 21, "id": "92b078ce-fe94-42d1-a603-908d9664bd81", "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "close": { "bdata": 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usEACK4cW2W2wQMdLN4lhbbBAH4XrUVhtsEAQWDm0yGuwQIXrUbi+arBA2/l+anxpsEAzMzMz82mwQLKd76eGabBAN4lBYAVqsEC+nxov3WmwQKabxCDQarBAarx0k5hqsEBzaJHtnGmwQD81XrppabBAj8L1KLxpsEC4HoXrMWmwQCuHFtmOaLBArkfhepRlsEBzaJHtfGSwQCPb+X6KZrBAWDm0yDZmsEArhxbZDmWwQIGVQ4usY7BAObTIdl5jsEBMN4lBwGSwQLByaJFNZLBAhxbZztdlsEDy0k1iMGawQPLSTWIQZrBA16NwPQpnsEBvEoPACmewQA==", 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strength (buy)", "High vol up after downtrend -> strength (buy)", "High vol up after downtrend -> strength (buy)", "High vol up after downtrend -> strength (buy)", "High vol up after downtrend -> strength (buy)", "High vol up after downtrend -> strength (buy)", "High vol up after downtrend -> strength (buy)", "No Supply (low vol narrow down bar after decline) -> probable test, buy", "High vol up after downtrend -> strength (buy)", "High vol up after downtrend -> strength (buy)", "High vol up after downtrend -> strength (buy)", "No Supply (low vol narrow down bar after decline) -> probable test, buy", "High vol up after downtrend -> strength (buy)", "Climax Down (high vol & large down bar) -> possible selling exhaustion", "High vol up after downtrend -> strength (buy)", "No Supply (low vol narrow down bar after decline) -> probable test, buy", "High vol up after downtrend -> strength (buy)", "High vol up after downtrend -> strength (buy)", "Climax Down (high vol & large down bar) -> possible selling exhaustion", "Climax Down (high vol & large down bar) -> possible selling exhaustion", "High vol up after downtrend -> strength (buy)", "High vol up after downtrend -> strength (buy)", "High vol up after downtrend -> strength (buy)", "No Supply (low vol narrow down bar after decline) -> probable test, buy", "Climax Down (high vol & large down bar) -> possible selling exhaustion", "High vol up after downtrend -> strength (buy)", "High vol up after downtrend -> strength (buy)", "Climax Down (high vol & large down bar) -> possible selling exhaustion" ], "marker": { "size": 10, "symbol": "triangle-up" }, "mode": "markers", "name": "Buy Signal", "type": "scatter", "x": [ "2025-12-04T20:15:00.000000000", "2025-12-04T20:33:00.000000000", "2025-12-04T20:45:00.000000000", "2025-12-04T21:30:00.000000000", "2025-12-04T23:09:00.000000000", "2025-12-05T00:27:00.000000000", "2025-12-05T01:00:00.000000000", "2025-12-05T02:30:00.000000000", "2025-12-05T04:27:00.000000000", 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after advance) -> probable weak continuation", "High vol down after uptrend -> weakness (sell)", "High vol down after uptrend -> weakness (sell)", "High vol down after uptrend -> weakness (sell)", "High vol down after uptrend -> weakness (sell)", "High vol down after uptrend -> weakness (sell)", "Climax Up (high vol & large up bar) -> possible distribution", "High vol down after uptrend -> weakness (sell)", "No Demand (low vol narrow up bar after advance) -> probable weak continuation", "High vol down after uptrend -> weakness (sell)", "High vol down after uptrend -> weakness (sell)", "High vol down after uptrend -> weakness (sell)", "No Demand (low vol narrow up bar after advance) -> probable weak continuation", "No Demand (low vol narrow up bar after advance) -> probable weak continuation", "No Demand (low vol narrow up bar after advance) -> probable weak continuation", "High vol down after uptrend -> weakness (sell)", "High vol down after uptrend -> weakness (sell)", "High vol down after uptrend -> weakness (sell)", "High vol down after uptrend -> weakness (sell)", "High vol down after uptrend -> weakness (sell)", "No Demand (low vol narrow up bar after advance) -> probable weak continuation", "High vol down after uptrend -> weakness (sell)", "No Demand (low vol narrow up bar after advance) -> probable weak continuation", "High vol down after uptrend -> weakness (sell)", "High vol down after uptrend -> weakness (sell)", "No Demand (low vol narrow up bar after advance) -> probable weak continuation", "High vol down after uptrend -> weakness (sell)", "High vol down after uptrend -> weakness (sell)", "No Demand (low vol narrow up bar after advance) -> probable weak continuation", "High vol down after uptrend -> weakness (sell)", "High vol down after uptrend -> weakness (sell)", "Climax Up (high vol & large up bar) -> possible distribution", "High vol down after uptrend -> weakness (sell)" ], "marker": { "size": 10, "symbol": "triangle-down" }, "mode": "markers", 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" }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Recent VSA signals (most recent first):\n", "2025-12-05 21:48 | Signal: SELL | Vol: 595 | Reason: High vol down after uptrend -> weakness (sell)\n", "2025-12-05 21:42 | Signal: BUY | Vol: 588 | Reason: Climax Down (high vol & large down bar) -> possible selling exhaustion\n", "2025-12-05 20:54 | Signal: BUY | Vol: 2601 | Reason: High vol up after downtrend -> strength (buy)\n", "2025-12-05 20:48 | Signal: BUY | Vol: 2596 | Reason: High vol up after downtrend -> strength (buy)\n", "2025-12-05 20:30 | Signal: SELL | Vol: 1332 | Reason: Climax Up (high vol & large up bar) -> possible distribution\n", "2025-12-05 20:27 | Signal: SELL | Vol: 566 | Reason: High vol down after uptrend -> weakness (sell)\n", "2025-12-05 20:00 | Signal: BUY | Vol: 836 | Reason: Climax Down (high vol & large down bar) -> possible selling exhaustion\n", "2025-12-05 19:36 | Signal: SELL | Vol: 669 | Reason: High vol down after uptrend -> weakness (sell)\n", "2025-12-05 19:21 | Signal: BUY | Vol: 524 | Reason: No Supply (low vol narrow down bar after decline) -> probable test, buy\n", "2025-12-05 19:00 | Signal: BUY | Vol: 1074 | Reason: High vol up after downtrend -> strength (buy)\n", "2025-12-05 18:27 | Signal: BUY | Vol: 1412 | Reason: High vol up after downtrend -> strength (buy)\n", "2025-12-05 18:12 | Signal: SELL | Vol: 540 | Reason: No Demand (low vol narrow up bar after advance) -> probable weak continuation\n", "2025-12-05 17:36 | Signal: BUY | Vol: 1958 | Reason: High vol up after downtrend -> strength (buy)\n", "2025-12-05 17:33 | Signal: BUY | Vol: 1482 | Reason: Climax Down (high vol & large down bar) -> possible selling exhaustion\n", "2025-12-05 17:30 | Signal: SELL | Vol: 1171 | Reason: High vol down after uptrend -> weakness (sell)\n", "2025-12-05 17:00 | Signal: SELL | Vol: 1950 | Reason: High vol down after uptrend -> weakness (sell)\n", "2025-12-05 16:51 | Signal: SELL | Vol: 1316 | Reason: No Demand (low vol narrow up bar after advance) -> probable weak continuation\n", "2025-12-05 16:09 | Signal: BUY | Vol: 6590 | Reason: Climax Down (high vol & large down bar) -> possible selling exhaustion\n", "2025-12-05 15:39 | Signal: SELL | Vol: 1835 | Reason: High vol down after uptrend -> weakness (sell)\n", "2025-12-05 15:03 | Signal: SELL | Vol: 2002 | Reason: High vol down after uptrend -> weakness (sell)\n" ] } ], "source": [ "import MetaTrader5 as mt5\n", "import pandas as pd\n", "import numpy as np\n", "import plotly.graph_objects as go\n", "from datetime import datetime, timedelta\n", "\n", "# -------------------------\n", "# 1. Initialize MT5\n", "# -------------------------\n", "if not mt5.initialize():\n", " print(\"MT5 initialization failed\")\n", " mt5.shutdown()\n", "\n", "# -------------------------\n", "# 2. Fetch 3-minute data\n", "# -------------------------\n", "symbol = \"XAUUSDc\"\n", "timeframe = mt5.TIMEFRAME_M3\n", "n_bars = 500\n", "utc_from = datetime.now() - timedelta(days=3)\n", "\n", "rates = mt5.copy_rates_from(symbol, timeframe, utc_from, n_bars)\n", "mt5.shutdown()\n", "\n", "# -------------------------\n", "# 3. Convert to DataFrame\n", "# -------------------------\n", "df = pd.DataFrame(rates)\n", "df['time'] = pd.to_datetime(df['time'], unit='s')\n", "df.set_index('time', inplace=True)\n", "\n", "# -------------------------\n", "# 4. Remove non-trading periods (weekends)\n", "# -------------------------\n", "df = df[df.index.dayofweek < 5]\n", "\n", "# -------------------------\n", "# 5. Feature engineering for VSA\n", "# -------------------------\n", "df['range'] = df['high'] - df['low']\n", "df['body'] = (df['close'] - df['open']).abs()\n", "df['upper_wick'] = df['high'] - df[['open', 'close']].max(axis=1)\n", "df['lower_wick'] = df[['open', 'close']].min(axis=1) - df['low']\n", "df['direction'] = np.where(df['close'] > df['open'], 1, np.where(df['close'] < df['open'], -1, 0))\n", "\n", "# Contextual rolling lookback (for relative volume, slopes, trend)\n", "lookback_vol = 5\n", "lookback_slope = 6\n", "\n", "df['vol_max_recent'] = df['tick_volume'].rolling(lookback_vol, min_periods=1).max()\n", "df['vol_min_recent'] = df['tick_volume'].rolling(lookback_vol, min_periods=1).min()\n", "df['close_slope'] = df['close'].diff().rolling(lookback_slope, min_periods=1).mean()\n", "\n", "df['body_pct'] = df['body'] / (df['range'] + 1e-9) # normalized body size\n", "\n", "# -------------------------\n", "# 6. VSA signal logic (no moving averages)\n", "# -------------------------\n", "n = len(df)\n", "signals = np.zeros(n, dtype=int)\n", "reasons = np.full(n, '', dtype=object)\n", "\n", "climax_multiplier = 1.2\n", "high_vol_multiplier = 1.0\n", "low_vol_multiplier = 1.0\n", "small_body_thresh = 0.35\n", "large_body_thresh = 0.6\n", "\n", "for i in range(2, n):\n", " vol = df['tick_volume'].iat[i]\n", " max_vol = df['vol_max_recent'].iat[i-1]\n", " min_vol = df['vol_min_recent'].iat[i-1]\n", " direction = df['direction'].iat[i]\n", " body_pct = df['body_pct'].iat[i]\n", " slope = df['close_slope'].iat[i-1]\n", "\n", " # Climax bars\n", " if vol > max_vol * climax_multiplier:\n", " if direction == 1 and body_pct > large_body_thresh:\n", " signals[i] = -1\n", " reasons[i] = \"Climax Up (high vol & large up bar) -> possible distribution\"\n", " continue\n", " if direction == -1 and body_pct > large_body_thresh:\n", " signals[i] = 1\n", " reasons[i] = \"Climax Down (high vol & large down bar) -> possible selling exhaustion\"\n", " continue\n", "\n", " # High volume after trend\n", " if vol > max_vol * high_vol_multiplier:\n", " if direction == -1 and slope > 0:\n", " signals[i] = -1\n", " reasons[i] = \"High vol down after uptrend -> weakness (sell)\"\n", " continue\n", " if direction == 1 and slope < 0:\n", " signals[i] = 1\n", " reasons[i] = \"High vol up after downtrend -> strength (buy)\"\n", " continue\n", "\n", " # Low volume tests\n", " if vol < min_vol * low_vol_multiplier:\n", " if direction == 1 and body_pct < small_body_thresh and slope > 0:\n", " signals[i] = -1\n", " reasons[i] = \"No Demand (low vol narrow up bar after advance) -> probable weak continuation\"\n", " continue\n", " if direction == -1 and body_pct < small_body_thresh and slope < 0:\n", " signals[i] = 1\n", " reasons[i] = \"No Supply (low vol narrow down bar after decline) -> probable test, buy\"\n", " continue\n", "\n", " # Test after selling climax\n", " prev_vol = df['tick_volume'].iat[i-1]\n", " prev_dir = df['direction'].iat[i-1]\n", " prev_max_vol = df['vol_max_recent'].iat[i-1]\n", " if prev_vol > prev_max_vol * climax_multiplier and prev_dir == -1:\n", " if vol < min_vol * low_vol_multiplier and direction != -1:\n", " signals[i] = 1\n", " reasons[i] = \"Test after selling climax -> buy\"\n", " continue\n", "\n", "df['signal'] = signals\n", "df['signal_reason'] = reasons\n", "\n", "# -------------------------\n", "# 7. Plotting (price + volume + signals)\n", "# -------------------------\n", "buy_mask = df['signal'] == 1\n", "sell_mask = df['signal'] == -1\n", "\n", "price_buy_y = df['low'] - (df['range'] * 0.15)\n", "price_sell_y = df['high'] + (df['range'] * 0.15)\n", "\n", "vol_buy_y = df['tick_volume'][buy_mask]\n", "vol_sell_y = df['tick_volume'][sell_mask]\n", "\n", "fig = go.Figure()\n", "\n", "# Candlestick\n", "fig.add_trace(go.Candlestick(\n", " x=df.index,\n", " open=df['open'],\n", " high=df['high'],\n", " low=df['low'],\n", " close=df['close'],\n", " name=symbol,\n", " increasing_line_color='green',\n", " decreasing_line_color='red'\n", "))\n", "\n", "# Buy/Sell markers on price\n", "fig.add_trace(go.Scatter(\n", " x=df.index[buy_mask],\n", " y=price_buy_y[buy_mask],\n", " mode='markers',\n", " marker=dict(symbol='triangle-up', size=10),\n", " name='Buy Signal',\n", " hovertext=df['signal_reason'][buy_mask],\n", " hoverinfo='text'\n", "))\n", "fig.add_trace(go.Scatter(\n", " x=df.index[sell_mask],\n", " y=price_sell_y[sell_mask],\n", " mode='markers',\n", " marker=dict(symbol='triangle-down', size=10),\n", " name='Sell Signal',\n", " hovertext=df['signal_reason'][sell_mask],\n", " hoverinfo='text'\n", "))\n", "\n", "# Tick Volume\n", "fig.add_trace(go.Bar(\n", " x=df.index,\n", " y=df['tick_volume'],\n", " name='Tick Volume',\n", " marker_color='gray',\n", " yaxis='y2'\n", "))\n", "\n", "# Volume markers\n", "fig.add_trace(go.Scatter(\n", " x=df.index[buy_mask],\n", " y=vol_buy_y,\n", " mode='markers',\n", " marker=dict(symbol='circle', size=8),\n", " name='Volume Buy Marker',\n", " yaxis='y2',\n", " hovertext=df['signal_reason'][buy_mask],\n", " hoverinfo='text'\n", "))\n", "fig.add_trace(go.Scatter(\n", " x=df.index[sell_mask],\n", " y=vol_sell_y,\n", " mode='markers',\n", " marker=dict(symbol='circle', size=8),\n", " name='Volume Sell Marker',\n", " yaxis='y2',\n", " hovertext=df['signal_reason'][sell_mask],\n", " hoverinfo='text'\n", "))\n", "\n", "# Optional: recent maximum volume line for visual reference\n", "fig.add_trace(go.Scatter(\n", " x=df.index,\n", " y=df['vol_max_recent'],\n", " mode='lines',\n", " line=dict(width=2, dash='dash', color='blue'),\n", " name=f'Recent Max Volume',\n", " yaxis='y2'\n", "))\n", "\n", "fig.update_layout(\n", " template='plotly_white',\n", " title=f'{symbol} 3-Minute Candlestick with VSA Signals (No MA)',\n", " xaxis=dict(title='Time', rangeslider=dict(visible=False)),\n", " yaxis=dict(title='Price', domain=[0.35, 1]),\n", " yaxis2=dict(title='Tick Volume', domain=[0.15, 0.33], showgrid=False, anchor=\"x\"),\n", " legend=dict(orientation='h', y=1.02, x=0),\n", " height=900\n", ")\n", "\n", "fig.show()\n", "\n", "# -------------------------\n", "# 8. Quick signal summary\n", "# -------------------------\n", "recent_signals = df[df['signal'] != 0].copy().tail(20)\n", "if not recent_signals.empty:\n", " print(\"Recent VSA signals (most recent first):\")\n", " for idx, row in recent_signals[::-1].iterrows():\n", " ts = idx.strftime(\"%Y-%m-%d %H:%M\")\n", " print(f\"{ts} | Signal: {'BUY' if row['signal']==1 else 'SELL'} | Vol: {int(row['tick_volume'])} | Reason: {row['signal_reason']}\")\n", "else:\n", " print(\"No VSA signals found in the dataset.\")\n" ] }, { "cell_type": "code", "execution_count": null, "id": "d2c1da9d-a77b-4559-a3eb-f7998ee16fcb", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.13.9" } }, "nbformat": 4, "nbformat_minor": 5 }