Long Trade on TAO 21 May 2025 at 03:33:48
Take profit at 421.9606 (1.04 %) and Stop Loss at 414.7429 (0.69 %)
Long Trade on TAO 21 May 2025 at 03:33:48
Take profit at 421.9606 (1.04 %) and Stop Loss at 414.7429 (0.69 %)
Position size of 1157.2395 $
Take profit at 421.9606 (1.04 %) and Stop Loss at 414.7429 (0.69 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Strong Trade
|
0.53 |
| Prediction 2 | Probability |
|---|---|
| 1 | 0.49 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.775794 |
Indicators:
107164
-0.00381589
106755
0.775794
106335
0.00394694
106755
104969
0.0170171
106755
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 21 May 2025 03:33:48 |
21 May 2025 05:05:00 |
1 hour |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 417.63 | 414.7429 | 421.9606 | 1.5 | 182.91 |
Pour calculer le Risk-Reward Ratio (RRR) sur un trade short, on utilise la formule :
RRR = Distance jusqu'au Take Profit ÷ Distance jusqu'au Stop Loss
Détails du trade:
Calcul:
Risque (distance jusqu'au stop loss) :
SL - E = 414.7429 - 417.63 = -2.8871
Récompense (distance jusqu'au take profit):
E - TP = 417.63 - 421.9606 = -4.3306
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -4.3306 / -2.8871 = 1.5
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1157.2395 | 100 | 2.771 | 11.57 |
1. Déterminer le montant risqué sur ce trade
Risk Amount = Capital x Risk per trade
Paramètres:
Risk Amount = 100 x 0.08 = 8
Donc, tu es prêt à perdre 8$ maximum sur ce trade
2. Calcul Risk per Share / Nombre d'unité à acheter
Taille de position = Risk Amount / Distance Stop Loss
Taille de position USD = Taille de position x Entry Price
Paramètres:
Taille de position = 8 / -2.8871 = -2.77
Taille de position USD = -2.77 x 417.63 = -1156.84
Donc, tu peux acheter -2.77 avec un stoploss a 414.7429
Avec un position size USD de -1156.84$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -2.77 x -2.8871 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -2.77 x -4.3306 = 12
Si Take Profit atteint, tu gagneras 12$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 1.04 % | 12 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.69 % | 8 $ |
| PNL | PNL % |
|---|---|
| -8.04 $ | -0.69 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.94109195402299 % | 0 % | 0 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 422
[entry_price] => 417.6
[stop_loss] => 414.41
[rr_ratio] => 1.38
[sl_change_percentage] => 1.1
[closed_at] => 2025-05-21 05:05:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 422
[entry_price] => 417.6
[stop_loss] => 414.12
[rr_ratio] => 1.26
[sl_change_percentage] => 1.2
[closed_at] => 2025-05-21 05:05:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 422
[entry_price] => 417.6
[stop_loss] => 413.83
[rr_ratio] => 1.17
[sl_change_percentage] => 1.3
[closed_at] => 2025-05-21 05:05:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 422
[entry_price] => 417.6
[stop_loss] => 413.25
[rr_ratio] => 1.01
[sl_change_percentage] => 1.5
[closed_at] => 2025-05-21 05:50:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 3.76
[max_drawdown] => 4.08
[rr_ratio] => 0.92
[high] => 421.39000000
[low] => 413.55000000
[mfe_pct] => 0.9
[mae_pct] => 0.98
[mfe_mae_ratio] => 0.92
[candles_analyzed] => 24
[start_at] => 2025-05-21T03:33:48-04:00
[end_at] => 2025-05-21T05:33:48-04:00
)
[long_term] => Array
(
[max_gain] => 3.76
[max_drawdown] => 6.37
[rr_ratio] => 0.59
[high] => 421.39000000
[low] => 411.26000000
[mfe_pct] => 0.9
[mae_pct] => 1.53
[mfe_mae_ratio] => 0.59
[candles_analyzed] => 72
[start_at] => 2025-05-21T03:33:48-04:00
[end_at] => 2025-05-21T09:33:48-04:00
)
[breakout] => Array
(
[high_before] => 425.91000000
[high_after] => 421.39000000
[low_before] => 416.87000000
[low_after] => 411.26000000
[is_new_high] =>
[is_new_low] =>
)
)