diff --git a/index.html b/index.html
index e61b054..21adaf9 100644
--- a/index.html
+++ b/index.html
@@ -146,6 +146,7 @@
   </p>
 
   <script src="https://code.jquery.com/jquery-3.4.1.min.js"></script>
+  <script src="js/predictions.js"></script>
   <script src="js/scripts.js"></script>
 </body>
 </html>
diff --git a/js/predictions.js b/js/predictions.js
new file mode 100644
index 0000000..1ca0c2a
--- /dev/null
+++ b/js/predictions.js
@@ -0,0 +1,604 @@
+function minimum_rate_from_given_and_base(given_price, buy_price) {
+  return 10000 * (given_price - 1) / buy_price;
+}
+
+function maximum_rate_from_given_and_base(given_price, buy_price) {
+  return 10000 * given_price / buy_price;
+}
+
+function* generate_pattern_0_with_lengths(given_prices, high_phase_1_len, dec_phase_1_len, high_phase_2_len, dec_phase_2_len, high_phase_3_len) {
+    /*
+      // PATTERN 0: high, decreasing, high, decreasing, high
+      work = 2;
+
+
+      // high phase 1
+      for (int i = 0; i < hiPhaseLen1; i++)
+      {
+        sellPrices[work++] = intceil(randfloat(0.9, 1.4) * basePrice);
+      }
+
+      // decreasing phase 1
+      rate = randfloat(0.8, 0.6);
+      for (int i = 0; i < decPhaseLen1; i++)
+      {
+        sellPrices[work++] = intceil(rate * basePrice);
+        rate -= 0.04;
+        rate -= randfloat(0, 0.06);
+      }
+
+      // high phase 2
+      for (int i = 0; i < (hiPhaseLen2and3 - hiPhaseLen3); i++)
+      {
+        sellPrices[work++] = intceil(randfloat(0.9, 1.4) * basePrice);
+      }
+
+      // decreasing phase 2
+      rate = randfloat(0.8, 0.6);
+      for (int i = 0; i < decPhaseLen2; i++)
+      {
+        sellPrices[work++] = intceil(rate * basePrice);
+        rate -= 0.04;
+        rate -= randfloat(0, 0.06);
+      }
+
+      // high phase 3
+      for (int i = 0; i < hiPhaseLen3; i++)
+      {
+        sellPrices[work++] = intceil(randfloat(0.9, 1.4) * basePrice);
+      }
+  */
+
+  buy_price = given_prices[0];
+  var predicted_prices = [
+    {
+      min: buy_price,
+      max: buy_price,
+    },
+    {
+      min: buy_price,
+      max: buy_price,
+    },
+  ];
+
+  // High Phase 1
+  for (var i = 2; i < 2 + high_phase_1_len; i++) {
+    min_pred = Math.floor(0.9 * buy_price);
+    max_pred = Math.ceil(1.4 * buy_price);
+    if (!isNaN(given_prices[i])) {
+      if (given_prices[i] < min_pred || given_prices[i] > max_pred ) {
+        // Given price is out of predicted range, so this is the wrong pattern
+        return;
+      }
+      min_pred = given_prices[i];
+      max_pred = given_prices[i];
+    }
+
+    predicted_prices.push({
+      min: min_pred,
+      max: max_pred,
+    });
+  }
+
+  // Dec Phase 1
+  var min_rate = 6000;
+  var max_rate = 8000;
+  for (var i = 2 + high_phase_1_len; i < 2 + high_phase_1_len + dec_phase_1_len; i++) {
+    min_pred = Math.floor(min_rate * buy_price / 10000);
+    max_pred = Math.ceil(max_rate * buy_price / 10000);
+
+
+    if (!isNaN(given_prices[i])) {
+      if (given_prices[i] < min_pred || given_prices[i] > max_pred ) {
+        // Given price is out of predicted range, so this is the wrong pattern
+        return;
+      }
+      min_pred = given_prices[i];
+      max_pred = given_prices[i];
+      min_rate = minimum_rate_from_given_and_base(given_prices[i], buy_price);
+      max_rate = maximum_rate_from_given_and_base(given_prices[i], buy_price);
+    }
+
+    predicted_prices.push({
+      min: min_pred,
+      max: max_pred,
+    });
+
+    min_rate -= 1000;
+    max_rate -= 400;
+  }
+
+  // High Phase 2
+  for (var i = 2 + high_phase_1_len + dec_phase_1_len; i < 2 + high_phase_1_len + dec_phase_1_len + high_phase_2_len; i++) {
+    min_pred = Math.floor(0.9 * buy_price);
+    max_pred = Math.ceil(1.4 * buy_price);
+    if (!isNaN(given_prices[i])) {
+      if (given_prices[i] < min_pred || given_prices[i] > max_pred ) {
+        // Given price is out of predicted range, so this is the wrong pattern
+        return;
+      }
+      min_pred = given_prices[i];
+      max_pred = given_prices[i];
+    }
+
+    predicted_prices.push({
+      min: min_pred,
+      max: max_pred,
+    });
+  }
+
+  // Dec Phase 2
+  var min_rate = 6000;
+  var max_rate = 8000;
+  for (var i = 2 + high_phase_1_len + dec_phase_1_len + high_phase_2_len; i < 2 + high_phase_1_len + dec_phase_1_len + high_phase_2_len + dec_phase_2_len; i++) {
+    min_pred = Math.floor(min_rate * buy_price / 10000);
+    max_pred = Math.ceil(max_rate * buy_price / 10000);
+
+
+    if (!isNaN(given_prices[i])) {
+      if (given_prices[i] < min_pred || given_prices[i] > max_pred ) {
+        // Given price is out of predicted range, so this is the wrong pattern
+        return;
+      }
+      min_pred = given_prices[i];
+      max_pred = given_prices[i];
+      min_rate = minimum_rate_from_given_and_base(given_prices[i], buy_price);
+      max_rate = maximum_rate_from_given_and_base(given_prices[i], buy_price);
+    }
+
+    predicted_prices.push({
+      min: min_pred,
+      max: max_pred,
+    });
+
+    min_rate -= 1000;
+    max_rate -= 400;
+  }
+
+  // High Phase 3
+  if (2 + high_phase_1_len + dec_phase_1_len + high_phase_2_len + dec_phase_2_len + high_phase_3_len != 14) {
+    throw new Error("Phase lengths don't add up");
+  }
+  for (var i = 2 + high_phase_1_len + dec_phase_1_len + high_phase_2_len + dec_phase_2_len; i < 14; i++) {
+    min_pred = Math.floor(0.9 * buy_price);
+    max_pred = Math.ceil(1.4 * buy_price);
+    if (!isNaN(given_prices[i])) {
+      if (given_prices[i] < min_pred || given_prices[i] > max_pred ) {
+        // Given price is out of predicted range, so this is the wrong pattern
+        return;
+      }
+      min_pred = given_prices[i];
+      max_pred = given_prices[i];
+    }
+
+    predicted_prices.push({
+      min: min_pred,
+      max: max_pred,
+    });
+  }
+  yield {
+    pattern_description: "high, decreasing, high, decreasing, high",
+    pattern_number: 0,
+    prices: predicted_prices
+  };
+}
+
+function* generate_pattern_0(given_prices) {
+  /*
+      decPhaseLen1 = randbool() ? 3 : 2;
+      decPhaseLen2 = 5 - decPhaseLen1;
+
+      hiPhaseLen1 = randint(0, 6);
+      hiPhaseLen2and3 = 7 - hiPhaseLen1;
+      hiPhaseLen3 = randint(0, hiPhaseLen2and3 - 1);
+  */
+  for (var dec_phase_1_len = 2; dec_phase_1_len < 4; dec_phase_1_len++) {
+    for (var high_phase_1_len = 0; high_phase_1_len < 7; high_phase_1_len++) {
+      for (var high_phase_3_len = 0; high_phase_3_len < (7 - high_phase_1_len - 1 + 1); high_phase_3_len++) {
+        yield* generate_pattern_0_with_lengths(given_prices, high_phase_1_len, dec_phase_1_len, 7 - high_phase_1_len - high_phase_3_len, 5 - dec_phase_1_len, high_phase_3_len);
+      }
+    }
+  }
+}
+
+function* generate_pattern_1_with_peak(given_prices, peak_start) {
+  /*
+    // PATTERN 1: decreasing middle, high spike, random low
+    peakStart = randint(3, 9);
+    rate = randfloat(0.9, 0.85);
+    for (work = 2; work < peakStart; work++)
+    {
+      sellPrices[work] = intceil(rate * basePrice);
+      rate -= 0.03;
+      rate -= randfloat(0, 0.02);
+    }
+    sellPrices[work++] = intceil(randfloat(0.9, 1.4) * basePrice);
+    sellPrices[work++] = intceil(randfloat(1.4, 2.0) * basePrice);
+    sellPrices[work++] = intceil(randfloat(2.0, 6.0) * basePrice);
+    sellPrices[work++] = intceil(randfloat(1.4, 2.0) * basePrice);
+    sellPrices[work++] = intceil(randfloat(0.9, 1.4) * basePrice);
+    for (; work < 14; work++)
+    {
+      sellPrices[work] = intceil(randfloat(0.4, 0.9) * basePrice);
+    }
+  */
+
+  buy_price = given_prices[0];
+  var predicted_prices = [
+    {
+      min: buy_price,
+      max: buy_price,
+    },
+    {
+      min: buy_price,
+      max: buy_price,
+    },
+  ];
+
+  var min_rate = 8500;
+  var max_rate = 9000;
+
+  for (var i = 2; i < peak_start; i++) {
+    min_pred = Math.floor(min_rate * buy_price / 10000);
+    max_pred = Math.ceil(max_rate * buy_price / 10000);
+
+
+    if (!isNaN(given_prices[i])) {
+      if (given_prices[i] < min_pred || given_prices[i] > max_pred ) {
+        // Given price is out of predicted range, so this is the wrong pattern
+        return;
+      }
+      min_pred = given_prices[i];
+      max_pred = given_prices[i];
+      min_rate = minimum_rate_from_given_and_base(given_prices[i], buy_price);
+      max_rate = maximum_rate_from_given_and_base(given_prices[i], buy_price);
+    }
+
+    predicted_prices.push({
+      min: min_pred,
+      max: max_pred,
+    });
+
+    min_rate -= 500;
+    max_rate -= 300;
+  }
+
+  // Now each day is independent of next
+  min_randoms = [0.9, 1.4, 2.0, 1.4, 0.9, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4]
+  max_randoms = [1.4, 2.0, 6.0, 2.0, 1.4, 0.9, 0.9, 0.9, 0.9, 0.9, 0.9]
+  for (var i = peak_start; i < 14; i++) {
+    min_pred = Math.floor(min_randoms[i - peak_start] * buy_price);
+    max_pred = Math.ceil(max_randoms[i - peak_start] * buy_price);
+
+    if (!isNaN(given_prices[i])) {
+      if (given_prices[i] < min_pred || given_prices[i] > max_pred ) {
+        // Given price is out of predicted range, so this is the wrong pattern
+        return;
+      }
+      min_pred = given_prices[i];
+      max_pred = given_prices[i];
+    }
+
+    predicted_prices.push({
+      min: min_pred,
+      max: max_pred,
+    });
+  }
+  yield {
+    pattern_description: "decreasing, high spike, random lows",
+    pattern_number: 1,
+    prices: predicted_prices
+  };
+}
+
+function* generate_pattern_1(given_prices) {
+  for (var peak_start = 3; peak_start < 10; peak_start++) {
+    yield* generate_pattern_1_with_peak(given_prices, peak_start);
+  }
+}
+
+function* generate_pattern_2(given_prices) {
+  /*
+      // PATTERN 2: consistently decreasing
+      rate = 0.9;
+      rate -= randfloat(0, 0.05);
+      for (work = 2; work < 14; work++)
+      {
+        sellPrices[work] = intceil(rate * basePrice);
+        rate -= 0.03;
+        rate -= randfloat(0, 0.02);
+      }
+      break;
+  */
+
+
+  buy_price = given_prices[0];
+  var predicted_prices = [
+    {
+      min: buy_price,
+      max: buy_price,
+    },
+    {
+      min: buy_price,
+      max: buy_price,
+    },
+  ];
+
+  var min_rate = 8500;
+  var max_rate = 9000;
+  for (var i = 2; i < 14; i++) {
+    min_pred = Math.floor(min_rate * buy_price / 10000);
+    max_pred = Math.ceil(max_rate * buy_price / 10000);
+
+
+    if (!isNaN(given_prices[i])) {
+      if (given_prices[i] < min_pred || given_prices[i] > max_pred ) {
+        // Given price is out of predicted range, so this is the wrong pattern
+        return;
+      }
+      min_pred = given_prices[i];
+      max_pred = given_prices[i];
+      min_rate = minimum_rate_from_given_and_base(given_prices[i], buy_price);
+      max_rate = maximum_rate_from_given_and_base(given_prices[i], buy_price);
+    }
+
+    predicted_prices.push({
+      min: min_pred,
+      max: max_pred,
+    });
+
+    min_rate -= 500;
+    max_rate -= 300;
+  }
+  yield {
+    pattern_description: "always decreasing",
+    pattern_number: 2,
+    prices: predicted_prices
+  };
+}
+
+function* generate_pattern_3_with_peak(given_prices, peak_start) {
+
+  /*
+    // PATTERN 3: decreasing, spike, decreasing
+    peakStart = randint(2, 9);
+
+    // decreasing phase before the peak
+    rate = randfloat(0.9, 0.4);
+    for (work = 2; work < peakStart; work++)
+    {
+      sellPrices[work] = intceil(rate * basePrice);
+      rate -= 0.03;
+      rate -= randfloat(0, 0.02);
+    }
+
+    sellPrices[work++] = intceil(randfloat(0.9, 1.4) * (float)basePrice);
+    sellPrices[work++] = intceil(randfloat(0.9, 1.4) * basePrice);
+    rate = randfloat(1.4, 2.0);
+    sellPrices[work++] = intceil(randfloat(1.4, rate) * basePrice) - 1;
+    sellPrices[work++] = intceil(rate * basePrice);
+    sellPrices[work++] = intceil(randfloat(1.4, rate) * basePrice) - 1;
+
+    // decreasing phase after the peak
+    if (work < 14)
+    {
+      rate = randfloat(0.9, 0.4);
+      for (; work < 14; work++)
+      {
+        sellPrices[work] = intceil(rate * basePrice);
+        rate -= 0.03;
+        rate -= randfloat(0, 0.02);
+      }
+    }
+  */
+
+  buy_price = given_prices[0];
+  var predicted_prices = [
+    {
+      min: buy_price,
+      max: buy_price,
+    },
+    {
+      min: buy_price,
+      max: buy_price,
+    },
+  ];
+
+  var min_rate = 4000;
+  var max_rate = 9000;
+
+  for (var i = 2; i < peak_start; i++) {
+    min_pred = Math.floor(min_rate * buy_price / 10000);
+    max_pred = Math.ceil(max_rate * buy_price / 10000);
+
+
+    if (!isNaN(given_prices[i])) {
+      if (given_prices[i] < min_pred || given_prices[i] > max_pred ) {
+        // Given price is out of predicted range, so this is the wrong pattern
+        return;
+      }
+      min_pred = given_prices[i];
+      max_pred = given_prices[i];
+      min_rate = minimum_rate_from_given_and_base(given_prices[i], buy_price);
+      max_rate = maximum_rate_from_given_and_base(given_prices[i], buy_price);
+    }
+
+    predicted_prices.push({
+      min: min_pred,
+      max: max_pred,
+    });
+
+    min_rate -= 500;
+    max_rate -= 300;
+  }
+
+  // The peak
+
+  for (var i = peak_start; i < peak_start+2; i++) {
+    min_pred = Math.floor(0.9 * buy_price);
+    max_pred = Math.ceil(1.4 * buy_price);
+    if (!isNaN(given_prices[i])) {
+      if (given_prices[i] < min_pred || given_prices[i] > max_pred ) {
+        // Given price is out of predicted range, so this is the wrong pattern
+        return;
+      }
+      min_pred = given_prices[i];
+      max_pred = given_prices[i];
+    }
+
+    predicted_prices.push({
+      min: min_pred,
+      max: max_pred,
+    });
+  }
+
+  // Main spike 1
+  min_pred = Math.floor(1.4 * buy_price) - 1;
+  max_pred = Math.ceil(2.0 * buy_price) - 1;
+  if (!isNaN(given_prices[peak_start+2])) {
+    if (given_prices[peak_start+2] < min_pred || given_prices[peak_start+2] > max_pred ) {
+      // Given price is out of predicted range, so this is the wrong pattern
+      return;
+    }
+    min_pred = given_prices[peak_start+2];
+    max_pred = given_prices[peak_start+2];
+  }
+  predicted_prices.push({
+    min: min_pred,
+    max: max_pred,
+  });
+
+  // Main spike 2
+  min_pred = predicted_prices[peak_start+2].min;
+  max_pred = Math.ceil(2.0 * buy_price);
+  if (!isNaN(given_prices[peak_start+3])) {
+    if (given_prices[peak_start+3] < min_pred || given_prices[peak_start+3] > max_pred ) {
+      // Given price is out of predicted range, so this is the wrong pattern
+      return;
+    }
+    min_pred = given_prices[peak_start+3];
+    max_pred = given_prices[peak_start+3];
+  }
+  predicted_prices.push({
+    min: min_pred,
+    max: max_pred,
+  });
+
+  // Main spike 3
+  min_pred = Math.floor(1.4 * buy_price) - 1;
+  max_pred = predicted_prices[peak_start+3].max - 1;
+  if (!isNaN(given_prices[peak_start+4])) {
+    if (given_prices[peak_start+4] < min_pred || given_prices[peak_start+4] > max_pred ) {
+      // Given price is out of predicted range, so this is the wrong pattern
+      return;
+    }
+    min_pred = given_prices[peak_start+4];
+    max_pred = given_prices[peak_start+4];
+  }
+  predicted_prices.push({
+    min: min_pred,
+    max: max_pred,
+  });
+
+  if (peak_start+5 < 14) {
+    var min_rate = 4000;
+    var max_rate = 9000;
+
+    for (var i = peak_start+5; i < 14; i++) {
+      min_pred = Math.floor(min_rate * buy_price / 10000);
+      max_pred = Math.ceil(max_rate * buy_price / 10000);
+
+
+      if (!isNaN(given_prices[i])) {
+        if (given_prices[i] < min_pred || given_prices[i] > max_pred ) {
+          // Given price is out of predicted range, so this is the wrong pattern
+          return;
+        }
+        min_pred = given_prices[i];
+        max_pred = given_prices[i];
+        min_rate = minimum_rate_from_given_and_base(given_prices[i], buy_price);
+        max_rate = maximum_rate_from_given_and_base(given_prices[i], buy_price);
+      }
+
+      predicted_prices.push({
+        min: min_pred,
+        max: max_pred,
+      });
+
+      min_rate -= 500;
+      max_rate -= 300;
+    }
+  }
+
+  yield {
+    pattern_description: "decreasing, spike, decreasing",
+    pattern_number: 3,
+    prices: predicted_prices
+  };
+}
+
+function* generate_pattern_3(given_prices) {
+  for (var peak_start = 2; peak_start < 10; peak_start++) {
+    yield* generate_pattern_3_with_peak(given_prices, peak_start);
+  }
+}
+
+
+function* generate_possibilities(sell_prices) {
+  if (!isNaN(sell_prices[0])) {
+    yield* generate_pattern_0(sell_prices);
+    yield* generate_pattern_1(sell_prices);
+    yield* generate_pattern_2(sell_prices);
+    yield* generate_pattern_3(sell_prices);
+  } else {
+    for (var buy_price = 90; buy_price < 110; buy_price++) {
+      sell_prices[0] = sell_prices[1] = buy_price;
+      yield* generate_pattern_0(sell_prices);
+      yield* generate_pattern_1(sell_prices);
+      yield* generate_pattern_2(sell_prices);
+      yield* generate_pattern_3(sell_prices);
+    }
+  }
+}
+
+function analyze_possibilities(sell_prices) {
+  generated_possibilities = Array.from(generate_possibilities(sell_prices));
+
+  global_min_max = [];
+  for (var day = 0; day < 14; day++) {
+    prices = {
+      min: 999,
+      max: 0,
+    }
+    for (let poss of generated_possibilities) {
+      if (poss.prices[day].min < prices.min) {
+        prices.min = poss.prices[day].min;
+      }
+      if (poss.prices[day].max > prices.max) {
+        prices.max = poss.prices[day].max;
+      }
+    }
+    global_min_max.push(prices);
+  }
+
+  generated_possibilities.push({
+    pattern_description: "predicted min/max across all patterns",
+    pattern_number: 4,
+    prices: global_min_max,
+  });
+
+  for (let poss of generated_possibilities) {
+    var weekMins = [];
+    var weekMaxes = [];
+    for (let day of poss.prices.slice(1)) {
+      weekMins.push(day.min);
+      weekMaxes.push(day.max);
+    }
+    poss.weekMin = Math.min(...weekMins);
+    poss.weekMax = Math.max(...weekMaxes);
+  }
+
+  generated_possibilities.sort((a, b) => a.weekMax < b.weekMax);
+
+  return generated_possibilities;
+}
diff --git a/js/scripts.js b/js/scripts.js
index aaf46b5..b6221df 100644
--- a/js/scripts.js
+++ b/js/scripts.js
@@ -1,608 +1,3 @@
-function minimum_rate_from_given_and_base(given_price, buy_price) {
-  return 10000 * (given_price - 1) / buy_price;
-}
-
-function maximum_rate_from_given_and_base(given_price, buy_price) {
-  return 10000 * given_price / buy_price;
-}
-
-function* generate_pattern_0_with_lengths(given_prices, high_phase_1_len, dec_phase_1_len, high_phase_2_len, dec_phase_2_len, high_phase_3_len) {
-    /*
-      // PATTERN 0: high, decreasing, high, decreasing, high
-      work = 2;
-
-
-      // high phase 1
-      for (int i = 0; i < hiPhaseLen1; i++)
-      {
-        sellPrices[work++] = intceil(randfloat(0.9, 1.4) * basePrice);
-      }
-
-      // decreasing phase 1
-      rate = randfloat(0.8, 0.6);
-      for (int i = 0; i < decPhaseLen1; i++)
-      {
-        sellPrices[work++] = intceil(rate * basePrice);
-        rate -= 0.04;
-        rate -= randfloat(0, 0.06);
-      }
-
-      // high phase 2
-      for (int i = 0; i < (hiPhaseLen2and3 - hiPhaseLen3); i++)
-      {
-        sellPrices[work++] = intceil(randfloat(0.9, 1.4) * basePrice);
-      }
-
-      // decreasing phase 2
-      rate = randfloat(0.8, 0.6);
-      for (int i = 0; i < decPhaseLen2; i++)
-      {
-        sellPrices[work++] = intceil(rate * basePrice);
-        rate -= 0.04;
-        rate -= randfloat(0, 0.06);
-      }
-
-      // high phase 3
-      for (int i = 0; i < hiPhaseLen3; i++)
-      {
-        sellPrices[work++] = intceil(randfloat(0.9, 1.4) * basePrice);
-      }
-  */
-
-  buy_price = given_prices[0];
-  var predicted_prices = [
-    {
-      min: buy_price,
-      max: buy_price,
-    },
-    {
-      min: buy_price,
-      max: buy_price,
-    },
-  ];
-
-  // High Phase 1
-  for (var i = 2; i < 2 + high_phase_1_len; i++) {
-    min_pred = Math.floor(0.9 * buy_price);
-    max_pred = Math.ceil(1.4 * buy_price);
-    if (!isNaN(given_prices[i])) {
-      if (given_prices[i] < min_pred || given_prices[i] > max_pred ) {
-        // Given price is out of predicted range, so this is the wrong pattern
-        return;
-      }
-      min_pred = given_prices[i];
-      max_pred = given_prices[i];
-    }
-
-    predicted_prices.push({
-      min: min_pred,
-      max: max_pred,
-    });
-  }
-
-  // Dec Phase 1
-  var min_rate = 6000;
-  var max_rate = 8000;
-  for (var i = 2 + high_phase_1_len; i < 2 + high_phase_1_len + dec_phase_1_len; i++) {
-    min_pred = Math.floor(min_rate * buy_price / 10000);
-    max_pred = Math.ceil(max_rate * buy_price / 10000);
-
-
-    if (!isNaN(given_prices[i])) {
-      if (given_prices[i] < min_pred || given_prices[i] > max_pred ) {
-        // Given price is out of predicted range, so this is the wrong pattern
-        return;
-      }
-      min_pred = given_prices[i];
-      max_pred = given_prices[i];
-      min_rate = minimum_rate_from_given_and_base(given_prices[i], buy_price);
-      max_rate = maximum_rate_from_given_and_base(given_prices[i], buy_price);
-    }
-
-    predicted_prices.push({
-      min: min_pred,
-      max: max_pred,
-    });
-
-    min_rate -= 1000;
-    max_rate -= 400;
-  }
-
-  // High Phase 2
-  for (var i = 2 + high_phase_1_len + dec_phase_1_len; i < 2 + high_phase_1_len + dec_phase_1_len + high_phase_2_len; i++) {
-    min_pred = Math.floor(0.9 * buy_price);
-    max_pred = Math.ceil(1.4 * buy_price);
-    if (!isNaN(given_prices[i])) {
-      if (given_prices[i] < min_pred || given_prices[i] > max_pred ) {
-        // Given price is out of predicted range, so this is the wrong pattern
-        return;
-      }
-      min_pred = given_prices[i];
-      max_pred = given_prices[i];
-    }
-
-    predicted_prices.push({
-      min: min_pred,
-      max: max_pred,
-    });
-  }
-
-  // Dec Phase 2
-  var min_rate = 6000;
-  var max_rate = 8000;
-  for (var i = 2 + high_phase_1_len + dec_phase_1_len + high_phase_2_len; i < 2 + high_phase_1_len + dec_phase_1_len + high_phase_2_len + dec_phase_2_len; i++) {
-    min_pred = Math.floor(min_rate * buy_price / 10000);
-    max_pred = Math.ceil(max_rate * buy_price / 10000);
-
-
-    if (!isNaN(given_prices[i])) {
-      if (given_prices[i] < min_pred || given_prices[i] > max_pred ) {
-        // Given price is out of predicted range, so this is the wrong pattern
-        return;
-      }
-      min_pred = given_prices[i];
-      max_pred = given_prices[i];
-      min_rate = minimum_rate_from_given_and_base(given_prices[i], buy_price);
-      max_rate = maximum_rate_from_given_and_base(given_prices[i], buy_price);
-    }
-
-    predicted_prices.push({
-      min: min_pred,
-      max: max_pred,
-    });
-
-    min_rate -= 1000;
-    max_rate -= 400;
-  }
-
-  // High Phase 3
-  if (2 + high_phase_1_len + dec_phase_1_len + high_phase_2_len + dec_phase_2_len + high_phase_3_len != 14) {
-    throw new Error("Phase lengths don't add up");
-  }
-  for (var i = 2 + high_phase_1_len + dec_phase_1_len + high_phase_2_len + dec_phase_2_len; i < 14; i++) {
-    min_pred = Math.floor(0.9 * buy_price);
-    max_pred = Math.ceil(1.4 * buy_price);
-    if (!isNaN(given_prices[i])) {
-      if (given_prices[i] < min_pred || given_prices[i] > max_pred ) {
-        // Given price is out of predicted range, so this is the wrong pattern
-        return;
-      }
-      min_pred = given_prices[i];
-      max_pred = given_prices[i];
-    }
-
-    predicted_prices.push({
-      min: min_pred,
-      max: max_pred,
-    });
-  }
-  yield {
-    pattern_description: "high, decreasing, high, decreasing, high",
-    pattern_number: 0,
-    prices: predicted_prices
-  };
-}
-
-function* generate_pattern_0(given_prices) {
-  /*
-      decPhaseLen1 = randbool() ? 3 : 2;
-      decPhaseLen2 = 5 - decPhaseLen1;
-
-      hiPhaseLen1 = randint(0, 6);
-      hiPhaseLen2and3 = 7 - hiPhaseLen1;
-      hiPhaseLen3 = randint(0, hiPhaseLen2and3 - 1);
-  */
-  for (var dec_phase_1_len = 2; dec_phase_1_len < 4; dec_phase_1_len++) {
-    for (var high_phase_1_len = 0; high_phase_1_len < 7; high_phase_1_len++) {
-      for (var high_phase_3_len = 0; high_phase_3_len < (7 - high_phase_1_len - 1 + 1); high_phase_3_len++) {
-        yield* generate_pattern_0_with_lengths(given_prices, high_phase_1_len, dec_phase_1_len, 7 - high_phase_1_len - high_phase_3_len, 5 - dec_phase_1_len, high_phase_3_len);
-      }
-    }
-  }
-}
-
-function* generate_pattern_1_with_peak(given_prices, peak_start) {
-  /*
-    // PATTERN 1: decreasing middle, high spike, random low
-    peakStart = randint(3, 9);
-    rate = randfloat(0.9, 0.85);
-    for (work = 2; work < peakStart; work++)
-    {
-      sellPrices[work] = intceil(rate * basePrice);
-      rate -= 0.03;
-      rate -= randfloat(0, 0.02);
-    }
-    sellPrices[work++] = intceil(randfloat(0.9, 1.4) * basePrice);
-    sellPrices[work++] = intceil(randfloat(1.4, 2.0) * basePrice);
-    sellPrices[work++] = intceil(randfloat(2.0, 6.0) * basePrice);
-    sellPrices[work++] = intceil(randfloat(1.4, 2.0) * basePrice);
-    sellPrices[work++] = intceil(randfloat(0.9, 1.4) * basePrice);
-    for (; work < 14; work++)
-    {
-      sellPrices[work] = intceil(randfloat(0.4, 0.9) * basePrice);
-    }
-  */
-
-  buy_price = given_prices[0];
-  var predicted_prices = [
-    {
-      min: buy_price,
-      max: buy_price,
-    },
-    {
-      min: buy_price,
-      max: buy_price,
-    },
-  ];
-
-  var min_rate = 8500;
-  var max_rate = 9000;
-
-  for (var i = 2; i < peak_start; i++) {
-    min_pred = Math.floor(min_rate * buy_price / 10000);
-    max_pred = Math.ceil(max_rate * buy_price / 10000);
-
-
-    if (!isNaN(given_prices[i])) {
-      if (given_prices[i] < min_pred || given_prices[i] > max_pred ) {
-        // Given price is out of predicted range, so this is the wrong pattern
-        return;
-      }
-      min_pred = given_prices[i];
-      max_pred = given_prices[i];
-      min_rate = minimum_rate_from_given_and_base(given_prices[i], buy_price);
-      max_rate = maximum_rate_from_given_and_base(given_prices[i], buy_price);
-    }
-
-    predicted_prices.push({
-      min: min_pred,
-      max: max_pred,
-    });
-
-    min_rate -= 500;
-    max_rate -= 300;
-  }
-
-  // Now each day is independent of next
-  min_randoms = [0.9, 1.4, 2.0, 1.4, 0.9, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4]
-  max_randoms = [1.4, 2.0, 6.0, 2.0, 1.4, 0.9, 0.9, 0.9, 0.9, 0.9, 0.9]
-  for (var i = peak_start; i < 14; i++) {
-    min_pred = Math.floor(min_randoms[i - peak_start] * buy_price);
-    max_pred = Math.ceil(max_randoms[i - peak_start] * buy_price);
-
-    if (!isNaN(given_prices[i])) {
-      if (given_prices[i] < min_pred || given_prices[i] > max_pred ) {
-        // Given price is out of predicted range, so this is the wrong pattern
-        return;
-      }
-      min_pred = given_prices[i];
-      max_pred = given_prices[i];
-    }
-
-    predicted_prices.push({
-      min: min_pred,
-      max: max_pred,
-    });
-  }
-  yield {
-    pattern_description: "decreasing, high spike, random lows",
-    pattern_number: 1,
-    prices: predicted_prices
-  };
-}
-
-function* generate_pattern_1(given_prices) {
-  for (var peak_start = 3; peak_start < 10; peak_start++) {
-    yield* generate_pattern_1_with_peak(given_prices, peak_start);
-  }
-}
-
-function* generate_pattern_2(given_prices) {
-  /*
-      // PATTERN 2: consistently decreasing
-      rate = 0.9;
-      rate -= randfloat(0, 0.05);
-      for (work = 2; work < 14; work++)
-      {
-        sellPrices[work] = intceil(rate * basePrice);
-        rate -= 0.03;
-        rate -= randfloat(0, 0.02);
-      }
-      break;
-  */
-
-
-  buy_price = given_prices[0];
-  var predicted_prices = [
-    {
-      min: buy_price,
-      max: buy_price,
-    },
-    {
-      min: buy_price,
-      max: buy_price,
-    },
-  ];
-
-  var min_rate = 8500;
-  var max_rate = 9000;
-  for (var i = 2; i < 14; i++) {
-    min_pred = Math.floor(min_rate * buy_price / 10000);
-    max_pred = Math.ceil(max_rate * buy_price / 10000);
-
-
-    if (!isNaN(given_prices[i])) {
-      if (given_prices[i] < min_pred || given_prices[i] > max_pred ) {
-        // Given price is out of predicted range, so this is the wrong pattern
-        return;
-      }
-      min_pred = given_prices[i];
-      max_pred = given_prices[i];
-      min_rate = minimum_rate_from_given_and_base(given_prices[i], buy_price);
-      max_rate = maximum_rate_from_given_and_base(given_prices[i], buy_price);
-    }
-
-    predicted_prices.push({
-      min: min_pred,
-      max: max_pred,
-    });
-
-    min_rate -= 500;
-    max_rate -= 300;
-  }
-  yield {
-    pattern_description: "always decreasing",
-    pattern_number: 2,
-    prices: predicted_prices
-  };
-}
-
-function* generate_pattern_3_with_peak(given_prices, peak_start) {
-
-  /*
-    // PATTERN 3: decreasing, spike, decreasing
-    peakStart = randint(2, 9);
-
-    // decreasing phase before the peak
-    rate = randfloat(0.9, 0.4);
-    for (work = 2; work < peakStart; work++)
-    {
-      sellPrices[work] = intceil(rate * basePrice);
-      rate -= 0.03;
-      rate -= randfloat(0, 0.02);
-    }
-
-    sellPrices[work++] = intceil(randfloat(0.9, 1.4) * (float)basePrice);
-    sellPrices[work++] = intceil(randfloat(0.9, 1.4) * basePrice);
-    rate = randfloat(1.4, 2.0);
-    sellPrices[work++] = intceil(randfloat(1.4, rate) * basePrice) - 1;
-    sellPrices[work++] = intceil(rate * basePrice);
-    sellPrices[work++] = intceil(randfloat(1.4, rate) * basePrice) - 1;
-
-    // decreasing phase after the peak
-    if (work < 14)
-    {
-      rate = randfloat(0.9, 0.4);
-      for (; work < 14; work++)
-      {
-        sellPrices[work] = intceil(rate * basePrice);
-        rate -= 0.03;
-        rate -= randfloat(0, 0.02);
-      }
-    }
-  */
-
-  buy_price = given_prices[0];
-  var predicted_prices = [
-    {
-      min: buy_price,
-      max: buy_price,
-    },
-    {
-      min: buy_price,
-      max: buy_price,
-    },
-  ];
-
-  var min_rate = 4000;
-  var max_rate = 9000;
-
-  for (var i = 2; i < peak_start; i++) {
-    min_pred = Math.floor(min_rate * buy_price / 10000);
-    max_pred = Math.ceil(max_rate * buy_price / 10000);
-
-
-    if (!isNaN(given_prices[i])) {
-      if (given_prices[i] < min_pred || given_prices[i] > max_pred ) {
-        // Given price is out of predicted range, so this is the wrong pattern
-        return;
-      }
-      min_pred = given_prices[i];
-      max_pred = given_prices[i];
-      min_rate = minimum_rate_from_given_and_base(given_prices[i], buy_price);
-      max_rate = maximum_rate_from_given_and_base(given_prices[i], buy_price);
-    }
-
-    predicted_prices.push({
-      min: min_pred,
-      max: max_pred,
-    });
-
-    min_rate -= 500;
-    max_rate -= 300;
-  }
-
-  // The peak
-
-  for (var i = peak_start; i < peak_start+2; i++) {
-    min_pred = Math.floor(0.9 * buy_price);
-    max_pred = Math.ceil(1.4 * buy_price);
-    if (!isNaN(given_prices[i])) {
-      if (given_prices[i] < min_pred || given_prices[i] > max_pred ) {
-        // Given price is out of predicted range, so this is the wrong pattern
-        return;
-      }
-      min_pred = given_prices[i];
-      max_pred = given_prices[i];
-    }
-
-    predicted_prices.push({
-      min: min_pred,
-      max: max_pred,
-    });
-  }
-
-  // Main spike 1
-  min_pred = Math.floor(1.4 * buy_price) - 1;
-  max_pred = Math.ceil(2.0 * buy_price) - 1;
-  if (!isNaN(given_prices[peak_start+2])) {
-    if (given_prices[peak_start+2] < min_pred || given_prices[peak_start+2] > max_pred ) {
-      // Given price is out of predicted range, so this is the wrong pattern
-      return;
-    }
-    min_pred = given_prices[peak_start+2];
-    max_pred = given_prices[peak_start+2];
-  }
-  predicted_prices.push({
-    min: min_pred,
-    max: max_pred,
-  });
-
-  // Main spike 2
-  min_pred = predicted_prices[peak_start+2].min;
-  max_pred = Math.ceil(2.0 * buy_price);
-  if (!isNaN(given_prices[peak_start+3])) {
-    if (given_prices[peak_start+3] < min_pred || given_prices[peak_start+3] > max_pred ) {
-      // Given price is out of predicted range, so this is the wrong pattern
-      return;
-    }
-    min_pred = given_prices[peak_start+3];
-    max_pred = given_prices[peak_start+3];
-  }
-  predicted_prices.push({
-    min: min_pred,
-    max: max_pred,
-  });
-
-  // Main spike 3
-  min_pred = Math.floor(1.4 * buy_price) - 1;
-  max_pred = predicted_prices[peak_start+3].max - 1;
-  if (!isNaN(given_prices[peak_start+4])) {
-    if (given_prices[peak_start+4] < min_pred || given_prices[peak_start+4] > max_pred ) {
-      // Given price is out of predicted range, so this is the wrong pattern
-      return;
-    }
-    min_pred = given_prices[peak_start+4];
-    max_pred = given_prices[peak_start+4];
-  }
-  predicted_prices.push({
-    min: min_pred,
-    max: max_pred,
-  });
-
-  if (peak_start+5 < 14) {
-    var min_rate = 4000;
-    var max_rate = 9000;
-
-    for (var i = peak_start+5; i < 14; i++) {
-      min_pred = Math.floor(min_rate * buy_price / 10000);
-      max_pred = Math.ceil(max_rate * buy_price / 10000);
-
-
-      if (!isNaN(given_prices[i])) {
-        if (given_prices[i] < min_pred || given_prices[i] > max_pred ) {
-          // Given price is out of predicted range, so this is the wrong pattern
-          return;
-        }
-        min_pred = given_prices[i];
-        max_pred = given_prices[i];
-        min_rate = minimum_rate_from_given_and_base(given_prices[i], buy_price);
-        max_rate = maximum_rate_from_given_and_base(given_prices[i], buy_price);
-      }
-
-      predicted_prices.push({
-        min: min_pred,
-        max: max_pred,
-      });
-
-      min_rate -= 500;
-      max_rate -= 300;
-    }
-  }
-
-  yield {
-    pattern_description: "decreasing, spike, decreasing",
-    pattern_number: 3,
-    prices: predicted_prices
-  };
-}
-
-function* generate_pattern_3(given_prices) {
-  for (var peak_start = 2; peak_start < 10; peak_start++) {
-    yield* generate_pattern_3_with_peak(given_prices, peak_start);
-  }
-}
-
-
-function* generate_possibilities(sell_prices) {
-  if (!isNaN(sell_prices[0])) {
-    yield* generate_pattern_0(sell_prices);
-    yield* generate_pattern_1(sell_prices);
-    yield* generate_pattern_2(sell_prices);
-    yield* generate_pattern_3(sell_prices);
-  } else {
-    for (var buy_price = 90; buy_price < 110; buy_price++) {
-      sell_prices[0] = sell_prices[1] = buy_price;
-      yield* generate_pattern_0(sell_prices);
-      yield* generate_pattern_1(sell_prices);
-      yield* generate_pattern_2(sell_prices);
-      yield* generate_pattern_3(sell_prices);
-    }
-  }
-}
-
-function analyze_possibilities(sell_prices) {
-  generated_possibilities = Array.from(generate_possibilities(sell_prices));
-
-  global_min_max = [];
-  for (var day = 0; day < 14; day++) {
-    prices = {
-      min: 999,
-      max: 0,
-    }
-    for (let poss of generated_possibilities) {
-      if (poss.prices[day].min < prices.min) {
-        prices.min = poss.prices[day].min;
-      }
-      if (poss.prices[day].max > prices.max) {
-        prices.max = poss.prices[day].max;
-      }
-    }
-    global_min_max.push(prices);
-  }
-
-  generated_possibilities.push({
-    pattern_description: "predicted min/max across all patterns",
-    pattern_number: 4,
-    prices: global_min_max,
-  });
-
-  for (let poss of generated_possibilities) {
-    var weekMins = [];
-    var weekMaxes = [];
-    for (let day of poss.prices.slice(1)) {
-      weekMins.push(day.min);
-      weekMaxes.push(day.max);
-    }
-    poss.weekMin = Math.min(...weekMins);
-    poss.weekMax = Math.max(...weekMaxes);
-  }
-
-  generated_possibilities.sort((a, b) => a.weekMax < b.weekMax);
-
-  return generated_possibilities;
-}
-
 $(document).ready(function () {
   // load sell_prices from local storage
   try {