suresh

[S D Raja - Returns @raja_sd22122]

அரசு பணத்தில் உல்லாச பயணம் சென்று

சூதாடிய இவர் யார்?

[suresh @Suresh2Palani]

@MapleStax CBC

[suresh @Suresh2Palani]

@nakkheeranweb Athu eppdi ra DMK achila egga poitiga.... Ethunalum udaney thookitu varuviga😂😂😂

[suresh @Suresh2Palani]

@Tamilanv2ku @sunnewstamil @mkstalin Vaaga thambi ugga allu ethana press meet bit papper paakama answer panirukaaga....

[suresh @Suresh2Palani]

@Vanitha06119914 நீங்க எல்லாம் சீட்டை பத்தி பேசலாமா இவங்களோட வரலாறு தெரியும்ல ஊர் ��புல்லா வழக்கு ஏமாத்துறது தூத்துக்குடியில் ஏமாத்துறது எல்லாத்தையும் பண்ணிட்டு கடைசியில் சீட்டு பத்தல அதுக்கு பதிலா எதிர்பார்த்து போயிட்டு வீட்ல உட்கார்ந்து சாப்பிட்டு தூங்குங்க

[suresh @Suresh2Palani]

@Vanitha06119914 இன்னும் நீங்களே ஆட்சி அ���ைச்சர்களே நாங்க எதிர்க்கச் சேர்ந்துக்குறோம் கேக்குற கேள்விக்கு பதில் மட்டும் சொல்லுங்க பார்ப்போம்

[suresh @Suresh2Palani]

@Srividhya_Hari Ithu igga DMK party nu police confirmation panataga atha paakalaya... Udaney thookitu varathu.

[suresh @Suresh2Palani]

@Vanitha06119914 @sunnewstamil Enna da ivalavu seekrama comment poadura....

[Vijay Fans Trends @VijayFansTrends]

Cutie max video 😂❤️

@actorvijay @hegdepooja

[suresh @Suresh2Palani]

@Vanitha06119914 @sunnewstamil Valakam poala 200 vaagiti post poda koodathuuuuuuu💦💦💦

[suresh @Suresh2Palani]

@Vanitha06119914 @sunnewstamil மீண்டும் வந்தா பாத்துக்கலாம்🤣🤣🤣

[suresh @Suresh2Palani]

@sunnewstamil @mkstalin @sunnewstamil paavam ya neega ugalaala iggatua kaamika mudium kaamiga...

[Web3Radar @BedaKakuru48767]

20 PIPS = BIG MONEY. PERIOD.

CHECK THE MATH:

0.1 LOT → +$20

0.5 LOT → +$100

1.0 LOT → +$200

5.0 LOT → +$1,000

10.0 LOT → +$2,000

25.0 LOT → +$5,000

50.0 LOT → +$10,000

YES, YOU READ THAT RIGHT.

JUST 20 PIPS.

NOT 200. NOT 2,000.

TWENTY.

IMAGINE SCALING THIS EVERY SINGLE DAY.

STOP OVERTRADING.

STOP CHASING HUNDREDS OF PIPS.

MASTER THE POWER OF 20 PIPS

WITH THE RIGHT LOT SIZE.

[Neha Singhal Trader @nsinghal211]

How to read an option chain ?

Open this Thread 🧵 to learn option chain below 👇

Follow @nsinghal211 for more stock market content.

[ScorpioManoj @scorpiomanojFRM]

#Strategy #Trading
Intraday trading strategy for index and stocks.
Strategy :
15 min Opening Range Breakout (ORB):
1) Define the high and low of the 9:15–9:30 candle.
2) Enter long if price closes above the ORB high on a 5-min candle with volume > 1.5× the 20-period average, and price is above VWAP. Mirror for shorts.
3) Initial stop goes at the opposite end of the ORB or 1× ATR(14, 5-min), whichever is tighter.
4) Target 1.5R partial, trail the remainder at VWAP or a 2-bar low/high. Hard time-stop at 14:30.

Risk Management (assuming capital is Rs 25 lacs)
1) Per-trade risk capped at 1% of capital ie Rs 25,000. Position size = Rs 25,000 / (entry − stop). With a typical 1% ATR stop on a Rs 1,000 stock, that's around 2,500 shares, well within MIS leverage limits.
2) Max 3 concurrent positions to avoid correlation blowups as sectors are highly correlated intraday, for eg, a banking selloff drags the whole financial pack.
3) Daily loss limit at 3% (Rs 75,000) hit it and stop trading for the day, no exceptions.
4) Weekly loss limit at 6%. If you breach the weekly, you take the next week off and review every trade.
5) Position sizing in options needs an extra layer because of gamma. Size options positions by premium at risk; never put more than 0.75% of capital into option premium on a single trade, and use ITM options where the delta gives you stock like behavior with capped downside.
Eg.: Your capital for options is 0.75% X 25 lacs = 18,750 Rs. Say NIFTY is at 26,000 and ORB+VWAP setup fires a long signal.
NIFTY 25,800 CE (200 points ITM, delta ~0.65)
Premium quoted: Rs 280 per unit
NIFTY lot size: 75 , Cost per lot = 280 × 75 = Rs 21,000
Now check against your budget: Rs 21,000 > Rs 18,750. You cannot buy 1 lot. 3 alternatives would be:
a) Skip the trade. The position is too big for your budget.
b) Don't go for lower delta strike; the option movement will be more influenced by theta. Pick a different expiry or Use a futures contract instead, where your risk is defined by stop distance not premium.

Instrument:
For index trading, prefer NIFTY weekly options 1–2 strikes ITM (delta 0.6) to control gamma risk.

For stock screening for ORB trading, previous day scan for:
After 4 PM run a screener over the F&O universe
a) average daily turnover above Rs 100 crore (liquidity floor) AND
b) ATR% between 1.5% and 4% (you want movement, not chaos) AND
c) 5-day relative strength versus NIFTY, distance from 20-day high or low (proximity to a breakout level), and a recent volume surge factor (today's volume vs 20-day average).
For Monday long and short trades stock screener attached along with reasons and trade plan attached in picture.
Those who trade this , please don't directly pick stocks randomly from the picture. The stocks become eligible to trade only if it satisfies intraday ORB conditions mentioned in beginning of the tweet. Qty mentioned in pic is assuming rs 25 lac capital. Scale down if capital is less.

Pre-Market Routine (8:30–9:15 AM)
GIFT NIFTY tells you the gap. Quickly scan Asian markets, crude (energy/auto sensitivity), USDINR (IT/pharma exposure), and the 10Y G-Sec yield. Read overnight headlines for your watchlist names. By 9:10, write down on paper your top 3 long candidates and top 3 short candidates with entry triggers and stop levels. Drop stocks that have Corporate events like results, dividends, etc. due during the day.

[Rishabh @Rixhabh__]

INSTEAD OF WATCHING NETFLIX TONIGHT.

Spend 1 hour with this.

Claude AI FULL COURSE that teaches you how to BUILD and AUTOMATE anything.

The people who watch this tonight will wake up tomorrow with a new skill.

Watch it and Bookmark it now.

[Tom Dörr @tom_doerr]

Python library for TradingView Screener API

https://t.co/C3dJ7yqBRx

[wincy.eth @gusik4ever]

the fastest growing GitHub repos in finance this week:

1. shiyu-coder/Kronos (+6.5K ★)

first open-source foundation model for financial candlesticks. trained on 45+ global exchanges. predicts OHLCV candles as tokens — literally GPT for price charts. accepted at AAAI 2026.

2. virattt/ai-hedge-fund (+4.9K ★)

a team of AI agents simulating Buffett, Munger, Ackman, Cathie Wood and others. each agent runs its own strategy, a Portfolio Manager makes the final call. one of the most viral finance repos right now.

3. TauricResearch/TradingAgents (+~3K ★)

multi-agent LLM trading framework. fundamental analyst, sentiment analyst, technicals, risk manager — all working together. supports GPT-5.x, Gemini 3.x, Claude 4.x, Grok. built by UCLA/MIT researchers.

4. ZhuLinsen/daily_stock_analysis (+~2K ★)

LLM stock analyzer for US, A-share and H-share markets. auto-builds a daily decision dashboard with exact entry/exit levels. pushes to WeChat/Telegram/Discord/Email via GitHub Actions. zero cost, zero server.

5. hsliuping/TradingAgents-CN (+~1.5K ★)

Chinese fork of TradingAgents. fully localized for A-share markets (Shanghai/Shenzhen), Chinese data sources, and domestic LLMs. 5.1K forks — very active community.

6. OpenBB-finance/OpenBB (+~1K ★)

open-source Bloomberg alternative. stocks, crypto, options, derivatives, fixed income — one platform. integrates with AI agents via MCP. 66K total stars and still climbing.

7. freqtrade/freqtrade (+~700 ★)

free, open-source crypto trading bot in Python. supports all major exchanges, full backtesting, strategy optimization, Telegram control. release 2026.3 just dropped.

8. AI4Finance-Foundation/FinGPT (+~500 ★)

open-source financial LLMs trained on real market data — news, filings, earnings. built for sentiment analysis and robo-advisors. models on HuggingFace, ready to deploy.

9. juspay/hyperswitch (+~400 ★)

open-source payments router in Rust. one API to connect Stripe, Adyen, PayPal and 50+ providers. smart routing, high performance, built for fintech scale.

10. microsoft/qlib (+~350 ★)

Microsoft's AI quant investment platform. covers the full pipeline: alpha seeking, backtesting, model training, live trading. supports ML/DL, RL, and auto-quant.

bookmark this and start today.

[suresh @Suresh2Palani]

@TraderDiegoX Indicator