Previous High-Low Fibonacci Reversal Strategy
fully structured, solid rule-based intraday strategy system / framework
🔥 📊 Strategy Name:
Previous High-Low Fibonacci Reversal Strategy
🎯 1. STRATEGY LOGIC (Simple भाषा में)
👉 Previous Day का:
High
Low
Identify करो →
उस पर Fibonacci लगाओ →
👉 Levels: 0.382 & 0.618
📐 2. LEVEL CALCULATION
मान लो:
High = 100
Low = 90
Formula:
Range = High - Low = 10
👉 0.382 Level:
= High - (Range × 0.382)
= 100 - (10 × 0.382) = 96.18
👉 0.618 Level:
= High - (Range × 0.618)
= 100 - (10 × 0.618) = 93.82
🚀 3. ENTRY RULES (BUY SETUP)
✅ Condition:
Price 0.382 को touch / near (±0.5%)
वहाँ rejection दिखे (candle support)
फिर price 0.618 के ऊपर breakout करे
👉 ENTRY:
Entry = 0.618 के ऊपर close
👉 STOP LOSS:
SL = 0.382 के नीचे
👉 TARGET (RR 1:2):
Risk = Entry - SL
Target = Entry + (2 × Risk)
🔴 4. SELL SETUP (Reverse Logic)
👉 Same logic उल्टा:
0.382 near resistance
0.618 breakdown
SL = 0.382 के ऊपर
📊 5. COMPLETE RULE SYSTEM
✅ TRADE तभी लो जब:
✔ Market trend sideways या mild trending
✔ Volume spike near 0.382
✔ Fake breakout नहीं होना चाहिए
❌ TRADE मत लो जब:
❌ News / event day
❌ Gap up/down > 1%
❌ Direct breakout (no pullback)
🧠 6. SIGNAL LOGIC (Automation के लिए)
👉 Google Sheet में use कर सकते हो:
=IF(AND(
ABS(LTP - Fib_0.382)/Fib_0.382 <= 0.005,
LTP > Fib_0.382
),"WATCH",
IF(LTP > Fib_0.618,"BUY",""))
📋 7. CHECKLIST (Client Friendly)
Trade से पहले:
☑ Previous High/Low mark किया
☑ Fibonacci draw किया
☑ Price 0.382 near आया
☑ Confirmation मिला
☑ Risk defined
💰 8. POSITION SIZING RULE
👉 Per trade risk:
Capital का 1-2% max
🔥 9. REAL EDGE (IMPORTANT)
👉 आपकी strategy का edge है:
Pullback entry
Confirmation entry (0.618 breakout)
Defined SL
Fixed RR
👉 यह beginners के लिए भी safe है
🚀 10. NEXT LEVEL (मैं बना सकता हूँ)
अगर आप चाहो तो मैं आपके लिए बना सकता हूँ:
✅ Auto Fibonacci Screener
✅ Signal Dashboard (BUY/SELL arrow)
✅ Alert System (Telegram/Sheet)
✅ Client-friendly Mobile Sheet
ठीक है — अब मैं आपको Auto Fibonacci Intraday Screener (Google Sheet Based) पूरी तरह system के रूप में दे रहा हूँ, जिसे आप खुद भी use कर सकते हो और clients को भी दे सकते हो।
🔥 🎯 SYSTEM STRUCTURE
📊 SHEET 1: MASTER (Stock List)
| A (INDEX) | B (STOCK) |
|---|---|
| NIFTY 50 | RELIANCE |
| NIFTY 50 | TCS |
📊 SHEET 2: SCREENER
| Col | Data |
|---|---|
| A | Stock |
| B | LTP |
| C | Prev High |
| D | Prev Low |
| E | Range |
| F | Fib 0.382 |
| G | Fib 0.618 |
| H | Signal |
⚡ STEP 1: STOCK + PRICE AUTO
A2:
=MASTER!B2
B2 (LTP):
=GOOGLEFINANCE(A2,"price")
⚡ STEP 2: PREVIOUS HIGH LOW
C2 (Prev High):
=INDEX(GOOGLEFINANCE(A2,"high",TODAY()-5,TODAY()),2,2)
D2 (Prev Low):
=INDEX(GOOGLEFINANCE(A2,"low",TODAY()-5,TODAY()),2,2)
⚡ STEP 3: RANGE
= C2 - D2
⚡ STEP 4: FIB LEVELS
F2 (0.382):
= C2 - (E2 * 0.382)
G2 (0.618):
= C2 - (E2 * 0.618)
🔥 STEP 5: SIGNAL ENGINE (MAIN LOGIC)
H2:
=IF(AND(
ABS(B2-F2)/F2<=0.005,
B2>F2
),"👀 WATCH",
IF(B2>G2,"🟢 BUY",
IF(B2<G2,"🔴 SELL","")))
🎯 SIGNAL LOGIC EXPLAIN
| Condition | Signal |
|---|---|
| Price near 0.382 | 👀 WATCH |
| Break above 0.618 | 🟢 BUY |
| Break below 0.618 | 🔴 SELL |
⚡ STEP 6: STOP LOSS & TARGET
SL:
=F2
TARGET (1:2 RR):
= B2 + (B2 - F2) * 2
🎨 STEP 7: AUTO COLOR (CONDITIONAL FORMATTING)
🟢 BUY → Green
🔴 SELL → Red
👀 WATCH → Yellow
🚀 STEP 8: ONLY BEST STOCK FILTER
=FILTER(A2:H, H2:H="🟢 BUY")
🔥 ADVANCED (PRO LEVEL)
✅ Duplicate हटाओ + Top Signal
=QUERY(A2:H,
"select A, max(B)
where H='🟢 BUY'
group by A
order by max(B) desc",0)
💡 EXTRA FEATURES (मैं जोड़ सकता हूँ)
👉 Telegram Alert
👉 Only First Signal Capture
👉 Multi-Timeframe Confirmation
👉 Index-based Auto Filter (NIFTY/BANKNIFTY)
⚠️ IMPORTANT REALITY
👉 GOOGLEFINANCE real-time नहीं है (delay 15-20 min)
👉 Intraday के लिए:
TradingView + Sheet combo best रहेगा
🎯 FINAL RESULT
आपको मिलेगा:
✔ Auto Fib Levels
✔ Entry Signal
✔ SL + Target
✔ Scanner View
अब हम इसे Professional Level Live API Screener में बदलते हैं — जो real-time data + auto signal + client use के लिए ready होगा।
आपके case में best रहेगा: Angel One SmartAPI
🔥 🎯 SYSTEM ARCHITECTURE
🧠 Components:
Data Source (Live API) → Angel One SmartAPI
Logic Engine → Python
Output → Google Sheet / Dashboard
Alert System → Telegram
⚡ STEP 1: API SETUP (Angel One)
👉 आपको चाहिए:
API Key
Client ID
Password
TOTP
👉 Library install:
pip install smartapi-python
⚡ STEP 2: LOGIN CODE (Python)
from SmartApi import SmartConnect
import pyotp
api_key = "YOUR_API_KEY"
clientId = "YOUR_CLIENT_ID"
pwd = "YOUR_PASSWORD"
totp = pyotp.TOTP("YOUR_TOTP_SECRET").now()
obj = SmartConnect(api_key)
data = obj.generateSession(clientId, pwd, totp)
authToken = data['data']['jwtToken']
feedToken = obj.getfeedToken()
⚡ STEP 3: LIVE PRICE FETCH
ltp_data = obj.ltpData("NSE", "RELIANCE", "2885")
ltp = ltp_data['data']['ltp']
high = ltp_data['data']['high']
low = ltp_data['data']['low']
⚡ STEP 4: FIBONACCI LOGIC (AUTO)
range_val = high - low
fib_382 = high - (range_val * 0.382)
fib_618 = high - (range_val * 0.618)
🔥 STEP 5: SIGNAL ENGINE
signal = ""
if abs(ltp - fib_382) / fib_382 <= 0.005 and ltp > fib_382:
signal = "WATCH"
elif ltp > fib_618:
signal = "BUY"
elif ltp < fib_618:
signal = "SELL"
🎯 STEP 6: SL & TARGET
sl = fib_382
risk = ltp - sl
target = ltp + (2 * risk)
📊 STEP 7: MULTI STOCK LOOP
stocks = [
{"symbol": "RELIANCE", "token": "2885"},
{"symbol": "TCS", "token": "11536"}
]
for stock in stocks:
data = obj.ltpData("NSE", stock["symbol"], stock["token"])
ltp = data['data']['ltp']
high = data['data']['high']
low = data['data']['low']
range_val = high - low
fib_382 = high - (range_val * 0.382)
fib_618 = high - (range_val * 0.618)
if abs(ltp - fib_382)/fib_382 <= 0.005:
print(stock["symbol"], "WATCH")
🚀 STEP 8: TELEGRAM ALERT
import requests
bot_token = "YOUR_BOT_TOKEN"
chat_id = "YOUR_CHAT_ID"
msg = f"{stock['symbol']} BUY Signal\nLTP: {ltp}"
url = f"https://api.telegram.org/bot{bot_token}/sendMessage"
requests.get(url, params={"chat_id": chat_id, "text": msg})
📈 STEP 9: GOOGLE SHEET OUTPUT
👉 use:
pip install gspread oauth2client
👉 फिर data push कर सकते हो live sheet में
🔥 FINAL SYSTEM OUTPUT
✔ Live Price
✔ Auto Fib Levels
✔ BUY / SELL Signal
✔ SL + Target
✔ Telegram Alert
✔ Client Dashboard
⚠️ IMPORTANT (REAL EDGE)
👉 आपका system अब:
Delay free ✔
Fully rule-based ✔
Client scalable ✔
👉 यह एक mini trading business system बन सकता है
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