- ₹1485.00 BSE
- ₹1490.30" /> <div id="nsechange" class="pricupdn nsechange red"><span class="reddownarow"></span>-29.60 (-1.95%) </div> <p class="nseasondate">As on 30 Apr, 2025 | 03:42</p> <!-- <a class="inditrade" data-toggle="modal" onclick="placeOrder('BECTORFOOD','MBF01','S','Mrs. Bectors Food Specialities Ltd.')">Trade</a> --> <!-- Changes cause of Samco START--> <!-- <a href="https://www.moneycontrol.com/open-demat-account-online?classic=true&script_id=INE495P01012&ex=NSE&site=web&asset_class=stock&utm_source=moneycontrol&utm_medium=webstockpage&utm_campaign=tradenow&utm_content=webbutton" onclick="GAtradeNow()" title="Open Trading A/c" target="_blank" class="trade inditrade mob-hide" id="open_trad_accnt">Open Trading A/c</a> --> <!-- Changes cause of Samco END--> <!-- <a href="https://www.moneycontrol.com/open-demat-account-online?classic=true&script_id=INE495P01012&ex=NSE&site=web&asset_class=stock&utm_source=moneycontrol&utm_medium=webstockpage&utm_campaign=tradenow&utm_content=webbutton" class="trade inditrade mob-hide" data-toggle="modal" target="_blank">Trade</a> --> <div class="earn_exp"> <input type="hidden" id="ecped" value=""> <input type="hidden" id="ecpdt" value=""> <input type="hidden" id="ecpstkname" value=""> </div> </div> <div class="indprirange"> <div class="drang MT10">Day Range</div> <div class="rangamount clearfix"> <div id="sp_low" class="FL nseLP">1481.60</div> <div id="sp_high" class="FR nseHP">1516.40</div> </div> <div class="rangesick">L <span id="sp_graph_plot_day" class="nseplotday"><strong style="left: 25%;"></strong></span> <em class="grn">H</em></div> <div class="drang MT20">52 Week Range</div> <div class="rangamount clearfix"> <div id="sp_yearlylow" class="FL nseL52">1188.75</div> <div id="sp_yearlyhigh" class="FR nseH52">2200.00</div> </div> <div class="rangesick"> L <span id="sp_graph_plot_year" class="nseplotyr"><strong style="left: 30%;"></strong></span> <em class="grn">H</em> </div> <!-- All Time High Low Start MCMKTS-2965 New Req--> <!-- All Time High/Low END --> <!-- bid ask start--> <div class="clearfix MT20"> <div class="FL"> <div class="drang">Volume</div> <div id="nse_vol" class="rangamount nsevol">45,861</div> </div> <div class="FR TAR"> <div class="drang" style="margin-bottom: 7px;"><span>* </span> <div class="disin PR ic_infoh"> <svg id="info" xmlns="http://www.w3.org/2000/svg" width="15.274" height="15.274" viewBox="0 0 15.274 15.274"> <g id="Ellipse_278" data-name="Ellipse 278" transform="translate(0 0)" fill="none" stroke="#333" stroke-width="1"> <circle cx="7.637" cy="7.637" r="7.637" stroke="none"></circle> <circle cx="7.637" cy="7.637" r="7.137" fill="none"></circle> </g> <text id="i" transform="translate(6.221 12.194)" fill="#444" font-size="11" font-family="Lato-Heavy, Lato" font-weight="800"> <tspan x="0" y="0">i</tspan> </text> </svg> <div class="info_hoverbx bottom"> <div class="md_cntbx"> <h3><span>* </span>BSE Market Depth <span class="price_date">(30 Apr 2025)</span></h3> <div class="div_market_depth_table"> <table id="best_5_box_table" width="100%" border="0" cellspacing="0" cellpadding="0"> <tbody> <tr> <th colspan="2" class="brdr grn">BUY</th> <th colspan="2" class="red">SELL</th> </tr> <tr> <td class="brdb"><strong>QTY</strong></td> <td class="brdb brdr tar"><strong>PRICE</strong></td> <td class="brdb"><strong>PRICE</strong></td> <td class="brdb tar"><strong>QTY</strong></td> </tr> <tr> <td class="price_buy_quantity">66</td> <td class="brdr tar price_buy_price">1480.40 </td> <td class="price_sell_price">1485.00</td> <td class="tar price_sell_quantity">28</td> </tr> <tr> <td class="price_buy_quantity">3</td> <td class="brdr tar price_buy_price">1480.00 </td> <td class="price_sell_price">1499.35</td> <td class="tar price_sell_quantity">1</td> </tr> <tr> <td class="price_buy_quantity">10</td> <td class="brdr tar price_buy_price">1475.00 </td> <td class="price_sell_price">1509.35</td> <td class="tar price_sell_quantity">1</td> </tr> <tr> <td class="price_buy_quantity">10</td> <td class="brdr tar price_buy_price">1470.00 </td> <td class="price_sell_price">1520.00</td> <td class="tar price_sell_quantity">2</td> </tr> <tr> <td class="price_buy_quantity">1</td> <td class="brdr tar price_buy_price">1469.95 </td> <td class="price_sell_price">1535.35</td> <td class="tar price_sell_quantity">1</td> </tr> <tr> <td id="b_tot_total_buy_qty" class="brdt"><strong class="market_depth_total">0</strong></td> <td class="brdt brdr tar UC"><strong>Total</strong></td> <td class="brdt tar UC"><strong>Total</strong></td> <td id="b_tot_total_sell_qty" class="brdt"><strong class="market_depth_total">0</strong></td> </tr> </tbody> </table> </div> </div> </div> </div> Bid / Ask </div> <div class="rangamount"><span class="cls_bid_price">0.00</span> / <span class="cls_ask_price">0.00</span></div> </div> <!-- </div> --> <!-- bid ask end--> </div> <!-- bid ask end--> </div> </div> </div> <div class="indigraph"> <div class="graph_cnt clearfix"> <a href="#advchart" class="adv_chart">Advance Chart</a> <div class="graphg" id="NIntraDayChart"> </div> </div> </div> </div> </div> <script> let stockScoreN = "71"; ScoreRadiantCircle(stockScoreN,"N"); </script> <div class="tab-pane fade " id="inp_bse"> <!-- stock score ribbon starts here --> <div class="stock_score_ribbon"> <div class="mlogo"> <!-- <img src="https://stat2.moneycontrol.com/assets/images/stock/mlogo.png"> --> <svg width="20" height="21" viewBox="0 0 20 21" fill="none" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <rect y="0.569248" width="19.5615" height="19.5615" rx="3.726" fill="url(#pattern0_1440_202)"></rect> <defs> <pattern id="pattern0_1440_202" patternContentUnits="objectBoundingBox" width="1" height="1"> <use xlink:href="#image0_1440_202" transform="scale(0.00166667)"></use> </pattern> <image id="image0_1440_202" width="600" height="600" preserveAspectRatio="none" 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